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Nashville Predators 26-21-7, 59pts · 10th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 80 | 45 | 74 | 92 | 75 | 79 | 97 | 90 | 32 | 86 | 86 | 75 | 75 | 71 | 72 | 85 | 50 | 0 | 27 | 5,500,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 40 | 87 | 66 | 77 | 67 | 78 | 58 | 74 | 62 | 61 | 75 | 63 | 81 | 64 | 55 | 50 | 0 | 35 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 98.00 | 76 | 43 | 89 | 83 | 67 | 75 | 86 | 85 | 37 | 74 | 86 | 67 | 57 | 79 | 83 | 81 | 50 | 0 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 55 | 89 | 85 | 81 | 76 | 98 | 89 | 92 | 72 | 80 | 71 | 25 | 69 | 71 | 79 | 50 | 0 | 28 | 3,150,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 61 | 40 | 87 | 86 | 60 | 80 | 97 | 93 | 42 | 84 | 89 | 65 | 37 | 73 | 73 | 83 | 50 | 0 | 25 | 7,150,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 75 | 43 | 95 | 74 | 64 | 63 | 76 | 65 | 38 | 64 | 56 | 81 | 25 | 54 | 54 | 66 | 65 | 0 | 24 | 1,100,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 88 | 47 | 96 | 65 | 84 | 58 | 83 | 71 | 35 | 60 | 77 | 66 | 25 | 45 | 45 | 73 | 50 | 0 | 25 | 775,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 90 | 46 | 81 | 76 | 78 | 65 | 84 | 66 | 77 | 62 | 68 | 82 | 25 | 69 | 72 | 72 | 50 | 0 | 30 | 2,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 81 | 55 | 81 | 88 | 75 | 76 | 91 | 83 | 47 | 77 | 88 | 65 | 38 | 70 | 71 | 82 | 50 | 0 | 26 | 8,800,000$/8yrs | |||
![]() | 0 | C/RW | 98.00 | 59 | 41 | 83 | 85 | 68 | 85 | 95 | 88 | 94 | 90 | 83 | 80 | 48 | 68 | 71 | 83 | 50 | 0 | 24 | 8,125,000$/8yrs | |||
![]() | 0 | C/RW | 100.00 | 87 | 99 | 64 | 70 | 75 | 62 | 84 | 69 | 88 | 58 | 64 | 83 | 25 | 64 | 64 | 69 | 50 | 0 | 31 | 850,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 85 | 57 | 78 | 81 | 61 | 76 | 98 | 68 | 84 | 73 | 66 | 82 | 75 | 70 | 75 | 74 | 50 | 0 | 31 | 5,166,666$/2yrs | |||
![]() | 0 | D | 100.00 | 91 | 56 | 82 | 87 | 78 | 85 | 99 | 82 | 25 | 68 | 51 | 95 | 25 | 64 | 64 | 72 | 50 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 43 | 84 | 85 | 70 | 90 | 97 | 89 | 25 | 79 | 53 | 68 | 25 | 74 | 76 | 71 | 50 | 0 | 28 | 6,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 79 | 55 | 88 | 90 | 79 | 88 | 86 | 83 | 25 | 79 | 50 | 74 | 25 | 78 | 81 | 70 | 50 | 0 | 29 | 7,500,000$/7yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 85 | 83 | 77 | 83 | 98 | 69 | 25 | 69 | 60 | 83 | 25 | 75 | 78 | 72 | 50 | 0 | 29 | 5,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 97 | 82 | 69 | 60 | 67 | 62 | 25 | 45 | 47 | 86 | 36 | 67 | 68 | 63 | 50 | 0 | 33 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 90 | 74 | 79 | 72 | 76 | 65 | 25 | 49 | 48 | 87 | 25 | 68 | 70 | 64 | 50 | 0 | 29 | 3,250,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 80 | 44 | 88 | 76 | 65 | 67 | 59 | 66 | 64 | 68 | 66 | 76 | 25 | 58 | 58 | 70 | 50 | 0 | 30 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 41 | 94 | 72 | 69 | 53 | 86 | 65 | 79 | 54 | 59 | 74 | 25 | 56 | 56 | 64 | 50 | 0 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 92 | 82 | 67 | 57 | 87 | 64 | 58 | 57 | 58 | 70 | 75 | 69 | 72 | 65 | 50 | 0 | 25 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 77 | 76 | 77 | 69 | 52 | 64 | 25 | 52 | 48 | 82 | 75 | 64 | 65 | 62 | 50 | 0 | 27 | 762,500$/1yrs | |||
TEAM AVERAGE | 99.82 | 78 | 49 | 86 | 80 | 73 | 72 | 85 | 74 | 51 | 67 | 66 | 77 | 40 | 68 | 68 | 72 | 51 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 64 | 69 | 68 | 70 | 65 | 63 | 70 | 65 | 69 | 64 | 75 | 59 | 60 | 66 | 50 | 0 | 27 | 1,500,000$/1yrs |
![]() | 0 | 98.00 | 64 | 64 | 65 | 83 | 65 | 62 | 75 | 65 | 73 | 64 | 78 | 71 | 72 | 67 | 50 | 0 | 35 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 59 | 50 | 50 | 65 | 65 | 52 | 69 | 60 | 65 | 59 | 78 | 50 | 50 | 60 | 50 | 0 | 28 | 1,800,000$/1yrs |
TEAM AVERAGE | 99.33 | 62 | 61 | 61 | 73 | 65 | 59 | 71 | 63 | 69 | 62 | 77 | 60 | 61 | 64 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 78 | 44 | 94 | 71 | 68 | 52 | 65 | 60 | 54 | 59 | 55 | 62 | 25 | 49 | 49 | 61 | 68 | 0 | 23 | 880,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 77 | 71 | 91 | 63 | 71 | 78 | 82 | 64 | 50 | 59 | 65 | 66 | 62 | 46 | 46 | 67 | 68 | 0 | 25 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 67 | 87 | 66 | 67 | 79 | 83 | 66 | 50 | 62 | 66 | 64 | 63 | 44 | 44 | 67 | 68 | 0 | 23 | 834,167$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 81 | 44 | 91 | 80 | 65 | 59 | 70 | 65 | 67 | 50 | 57 | 76 | 25 | 57 | 57 | 64 | 68 | 0 | 24 | 762,500$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 43 | 93 | 72 | 74 | 56 | 84 | 71 | 52 | 57 | 58 | 70 | 70 | 56 | 56 | 64 | 68 | 0 | 23 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 75 | 74 | 76 | 77 | 74 | 81 | 87 | 61 | 50 | 53 | 60 | 69 | 57 | 66 | 68 | 64 | 68 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 90 | 81 | 61 | 54 | 63 | 75 | 38 | 62 | 58 | 73 | 75 | 66 | 66 | 65 | 68 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 96 | 99 | 44 | 68 | 82 | 54 | 83 | 64 | 32 | 61 | 58 | 65 | 25 | 62 | 62 | 63 | 68 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 86 | 76 | 74 | 70 | 67 | 65 | 25 | 56 | 50 | 73 | 25 | 47 | 47 | 63 | 68 | 0 | 22 | 925,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 49 | 52 | 65 | 85 | 48 | 49 | 50 | 55 | 49 | 49 | 30 | 44 | 44 | 50 | 68 | 0 | 23 | 867,500$/2yrs | ||||||
![]() | 0 | 100.00 | 55 | 55 | 69 | 65 | 57 | 58 | 50 | 58 | 55 | 54 | 30 | 44 | 44 | 55 | 68 | 0 | 22 | 758,333$/1yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Andrew Beer |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Robert Thomas | 0 | C/RW | 54 | 23 | 30 | 53 | -6 | 39 | 5 | 82 | 164 | 46 | 92 | 14.02% | 21 | 20.63 | 5 | 11 | 16 | 153 | 0 | 0 | 0 | 50 | 2 | 0 | 53.78% | 1363 | 31 | 22 | 0 | 0 | 0.95 | 2 | 5 | ||
2 | Clayton Keller | 0 | RW | 54 | 22 | 29 | 51 | 0 | 32 | 10 | 71 | 203 | 60 | 112 | 10.84% | 17 | 18.92 | 4 | 9 | 13 | 129 | 0 | 0 | 0 | 10 | 3 | 1 | 38.71% | 62 | 45 | 7 | 0 | 1 | 1.00 | 1 | 2 | ||
3 | Adrian Kempe | 0 | RW | 54 | 15 | 27 | 42 | -10 | 55 | 5 | 93 | 162 | 44 | 106 | 9.26% | 26 | 17.37 | 5 | 9 | 14 | 143 | 0 | 0 | 0 | 22 | 1 | 0 | 25.00% | 44 | 49 | 19 | 1 | 1 | 0.90 | 3 | 10 | ||
4 | Nicholas Paul | 0 | C/LW | 54 | 14 | 20 | 34 | -4 | 17 | 15 | 73 | 124 | 42 | 85 | 11.29% | 12 | 17.36 | 3 | 4 | 7 | 118 | 0 | 0 | 0 | 42 | 3 | 4 | 56.45% | 636 | 30 | 10 | 0 | 0 | 0.73 | 0 | 0 | ||
5 | Morgan Rielly | 0 | D | 54 | 5 | 25 | 30 | -14 | 31 | 15 | 70 | 68 | 35 | 33 | 7.35% | 59 | 24.83 | 2 | 6 | 8 | 165 | 0 | 0 | 0 | 71 | 1 | 1 | 0.00% | 0 | 19 | 51 | 0 | 0 | 0.45 | 0 | 0 | ||
6 | Kyle Palmieri | 0 | LW/RW | 54 | 12 | 17 | 29 | -1 | 25 | 5 | 70 | 111 | 43 | 72 | 10.81% | 17 | 17.41 | 5 | 5 | 10 | 130 | 1 | 0 | 1 | 45 | 0 | 0 | 26.47% | 34 | 35 | 17 | 0 | 0 | 0.62 | 0 | 3 | ||
7 | Timo Meier | 0 | RW | 54 | 12 | 17 | 29 | -12 | 18 | 0 | 80 | 125 | 48 | 85 | 9.60% | 18 | 15.07 | 4 | 4 | 8 | 90 | 0 | 0 | 0 | 0 | 1 | 0 | 32.61% | 46 | 37 | 12 | 0 | 0 | 0.71 | 0 | 1 | ||
8 | Moritz Seider | 0 | D | 54 | 2 | 19 | 21 | 3 | 51 | 5 | 72 | 75 | 40 | 18 | 2.67% | 58 | 22.82 | 1 | 2 | 3 | 87 | 0 | 1 | 1 | 133 | 0 | 0 | 0.00% | 0 | 10 | 48 | 0 | 0 | 0.34 | 0 | 0 | ||
9 | Yanni Gourde | 0 | C/LW/RW | 54 | 10 | 7 | 17 | 1 | 22 | 0 | 85 | 77 | 20 | 36 | 12.99% | 17 | 14.57 | 0 | 0 | 0 | 33 | 0 | 1 | 1 | 87 | 1 | 1 | 53.37% | 208 | 21 | 19 | 0 | 0 | 0.43 | 1 | 4 | ||
10 | Joshua Morrissey | 0 | D | 54 | 3 | 13 | 16 | -12 | 24 | 0 | 80 | 84 | 44 | 29 | 3.57% | 66 | 24.81 | 1 | 5 | 6 | 155 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 12 | 36 | 0 | 0 | 0.24 | 0 | 0 | ||
11 | Brady Skjei | 0 | D | 54 | 3 | 13 | 16 | -2 | 10 | 0 | 36 | 60 | 23 | 24 | 5.00% | 43 | 19.97 | 1 | 2 | 3 | 111 | 0 | 1 | 1 | 100 | 0 | 0 | 0.00% | 0 | 10 | 29 | 0 | 0 | 0.30 | 0 | 0 | ||
12 | Sean Kuraly | 0 | C/LW | 54 | 5 | 9 | 14 | -7 | 22 | 0 | 89 | 87 | 26 | 59 | 5.75% | 10 | 13.63 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 82 | 0 | 1 | 51.43% | 70 | 26 | 9 | 0 | 0 | 0.38 | 1 | 4 | ||
13 | Justin Brazeau | 0 | RW | 54 | 9 | 1 | 10 | 7 | 2 | 0 | 41 | 43 | 8 | 33 | 20.93% | 10 | 9.36 | 2 | 0 | 2 | 42 | 0 | 0 | 0 | 0 | 3 | 0 | 15.79% | 19 | 5 | 9 | 0 | 0 | 0.40 | 0 | 2 | ||
14 | Sam Carrick | 0 | C/RW | 54 | 2 | 8 | 10 | -2 | 23 | 5 | 53 | 56 | 24 | 35 | 3.57% | 12 | 9.63 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 110 | 1 | 0 | 50.34% | 296 | 10 | 12 | 0 | 0 | 0.38 | 0 | 0 | ||
15 | Nick Bonino | 0 | C/LW | 54 | 6 | 2 | 8 | -6 | 0 | 0 | 40 | 27 | 15 | 13 | 22.22% | 14 | 11.16 | 0 | 0 | 0 | 7 | 1 | 0 | 1 | 77 | 2 | 0 | 56.82% | 44 | 3 | 11 | 0 | 0 | 0.27 | 0 | 2 | ||
16 | Chad Ruhwedel | 0 | D | 54 | 0 | 7 | 7 | -8 | 2 | 0 | 33 | 22 | 13 | 14 | 0.00% | 33 | 13.78 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 68 | 0 | 0 | 0.00% | 0 | 0 | 29 | 0 | 0 | 0.19 | 0 | 0 | ||
17 | Carson Soucy | 0 | D | 54 | 0 | 3 | 3 | -7 | 4 | 0 | 44 | 18 | 16 | 16 | 0.00% | 42 | 14.15 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 4 | 20 | 0 | 0 | 0.08 | 0 | 0 | ||
18 | Rafael Harvey-Pinard | 0 | RW | 16 | 1 | 0 | 1 | -4 | 2 | 0 | 13 | 9 | 6 | 8 | 11.11% | 5 | 11.03 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 4 | 3 | 0 | 0 | 0.11 | 0 | 0 | ||
19 | Justin Danforth | 0 | C/RW | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 9.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Tyson Jost | 0 | C | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 9.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Haydn Fleury | 0 | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 940 | 144 | 247 | 391 | -90 | 379 | 65 | 1127 | 1521 | 553 | 870 | 9.47% | 480 | 16.63 | 33 | 57 | 90 | 1380 | 2 | 4 | 6 | 1057 | 18 | 8 | 52.19% | 2828 | 353 | 363 | 1 | 2 | 0.50 | 8 | 33 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | James Reimer | 43 | 21 | 17 | 5 | 0.903 | 2.85 | 2523 | 0 | 2 | 120 | 1236 | 722 | 6 | 3 | 0.750 | 36 | 43 | 11 | 4 | 3 | 0 | |
2 | Alex Nedeljkovic | 14 | 5 | 4 | 2 | 0.909 | 2.67 | 765 | 0 | 0 | 34 | 374 | 210 | 0 | 1 | 0.000 | 4 | 11 | 43 | 2 | 0 | 2 | |
Team Total or Average | 57 | 26 | 21 | 7 | 0.904 | 2.81 | 3289 | 0 | 2 | 154 | 1610 | 932 | 6 | 4 | 0.675 | 40 | 54 | 54 | 6 | 3 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 2 | 34 | 8 | 14 | 12 | 6 | 31 | 10 | 8 | 21 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 22 | 13 | 22 | 9 | 19 | 9 | 54.5% | 17.6% | 83.9% | 101.5 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 35 | 12 | 8 | 15 | 0 | 33 | 9 | 12 | 17 | 8 | 3 | 37.50% | 6 | 2 | 66.67% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 14 | 19 | 9 | 17 | 8 | 33.3% | 14.3% | 81.8% | 96.1 | FUN | |
3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 1 | 1 | 32 | 9 | 14 | 8 | 1 | 30 | 6 | 4 | 17 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 13 | 20 | 8 | 17 | 9 | 50.0% | 12.5% | 90.0% | 102.5 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 38 | 10 | 5 | 23 | 0 | 28 | 13 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 13 | 19 | 7 | 17 | 9 | 25.0% | 2.6% | 89.3% | 91.9 | Unlucky | |
5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 1 | 54 | 20 | 19 | 15 | 11 | 64 | 20 | 10 | 40 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 49 | 28 | 42 | 19 | 38 | 19 | 33.3% | 11.1% | 87.5% | 98.6 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 7 | 18 | 8 | 0 | 30 | 7 | 4 | 30 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 14 | 19 | 8 | 17 | 9 | 0.0% | 3.0% | 90.0% | 93.0 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 2 | 1 | 23 | 4 | 11 | 7 | 1 | 22 | 8 | 2 | 28 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 20 | 9 | 20 | 9 | 18 | 10 | 50.0% | 17.4% | 86.4% | 103.8 | FUN | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 3 | 1 | 0 | 0 | 55 | 16 | 23 | 16 | 0 | 64 | 21 | 16 | 50 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 26 | 41 | 17 | 34 | 16 | 37.5% | 7.3% | 92.2% | 99.5 | DULL | |
9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 2 | 0.333 | 12 | 22 | 34 | 1 | 0 | 4 | 4 | 4 | 0 | 104 | 32 | 39 | 33 | 0 | 101 | 32 | 38 | 58 | 8 | 2 | 25.00% | 9 | 4 | 55.56% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 64 | 39 | 63 | 27 | 51 | 24 | 40.0% | 11.5% | 81.2% | 92.7 | FUN | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 4 | 1 | 0 | 0 | 52 | 22 | 11 | 19 | 0 | 48 | 16 | 6 | 54 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 43 | 23 | 38 | 18 | 38 | 20 | 71.4% | 9.6% | 95.8% | 105.4 | LUCKY | |
11 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 4 | 3 | 3 | 1 | 85 | 29 | 20 | 35 | 3 | 101 | 32 | 39 | 78 | 5 | 1 | 20.00% | 14 | 3 | 78.57% | 1 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 59 | 31 | 68 | 29 | 56 | 27 | 58.8% | 12.9% | 90.1% | 103.0 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 3 | 15 | 11 | 0 | 35 | 5 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 22 | 14 | 20 | 8 | 16 | 8 | 33.3% | 6.9% | 88.6% | 95.5 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 68 | 18 | 29 | 21 | 0 | 46 | 12 | 16 | 45 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 43 | 25 | 40 | 19 | 35 | 17 | 37.5% | 7.4% | 84.8% | 92.1 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 69 | 22 | 18 | 29 | 0 | 54 | 13 | 13 | 43 | 12 | 1 | 8.33% | 4 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 23 | 39 | 18 | 36 | 20 | 37.5% | 5.8% | 90.7% | 96.5 | Unlucky | |
15 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 10 | 0 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 4 | 2 | 4 | 0 | 91 | 32 | 28 | 30 | 3 | 81 | 28 | 24 | 63 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 65 | 38 | 63 | 27 | 56 | 27 | 47.1% | 11.0% | 87.7% | 98.6 | FUN | |
16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 0.667 | 7 | 13 | 20 | 0 | 1 | 3 | 2 | 2 | 0 | 85 | 28 | 30 | 27 | 0 | 61 | 26 | 44 | 64 | 12 | 3 | 25.00% | 12 | 1 | 91.67% | 1 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 68 | 38 | 54 | 27 | 57 | 28 | 57.1% | 8.2% | 93.4% | 101.7 | DULL | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 1 | 3 | 5 | 0 | 61 | 17 | 17 | 27 | 0 | 67 | 20 | 8 | 44 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 43 | 24 | 40 | 18 | 36 | 19 | 58.3% | 14.8% | 92.5% | 107.3 | LUCKY | |
18 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 4 | 9 | 0 | 0 | 0 | 2 | 1 | 3 | 54 | 16 | 28 | 8 | 7 | 42 | 19 | 8 | 57 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 49 | 27 | 41 | 19 | 39 | 19 | 71.4% | 9.3% | 92.9% | 102.1 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 8 | 8 | 11 | 3 | 29 | 14 | 4 | 17 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 24 | 13 | 20 | 9 | 19 | 10 | 33.3% | 7.4% | 89.7% | 97.1 | Unlucky | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 28 | 7 | 8 | 13 | 0 | 37 | 12 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 3.6% | 91.9% | 95.5 | DULL | |
21 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 0 | 0 | 1 | 22 | 8 | 6 | 7 | 1 | 49 | 7 | 0 | 16 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 19 | 10 | 24 | 8 | 18 | 9 | 50.0% | 18.2% | 93.9% | 112.1 | LUCKY | |
22 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 77 | 25 | 28 | 24 | 0 | 94 | 26 | 26 | 61 | 4 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 58 | 32 | 66 | 29 | 55 | 25 | 45.5% | 6.5% | 91.5% | 98.0 | DULL | |
23 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 60 | 17 | 23 | 20 | 0 | 66 | 18 | 12 | 37 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 26 | 44 | 16 | 31 | 16 | 40.0% | 8.3% | 89.4% | 97.7 | Unlucky | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 3 | 3 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 63 | 25 | 18 | 18 | 4 | 56 | 24 | 10 | 41 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 48 | 29 | 41 | 17 | 35 | 18 | 60.0% | 9.5% | 94.6% | 104.2 | LUCKY | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 32 | 5 | 13 | 14 | 0 | 31 | 11 | 4 | 15 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 22 | 13 | 21 | 8 | 16 | 8 | 75.0% | 9.4% | 96.8% | 106.1 | LUCKY | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 8 | 13 | 1 | 0 | 2 | 1 | 2 | 0 | 92 | 29 | 34 | 29 | 0 | 83 | 17 | 26 | 73 | 7 | 1 | 14.29% | 13 | 1 | 92.31% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 69 | 40 | 56 | 27 | 54 | 25 | 40.0% | 5.4% | 91.6% | 97.0 | DULL | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 12 | 7 | 5 | 4 | 39 | 8 | 4 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 19 | 10 | 24 | 11 | 21 | 10 | 40.0% | 7.7% | 92.3% | 100.0 | DULL | |
28 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 15 | 7 | 8 | 4 | 0.667 | 15 | 22 | 37 | 0 | 0 | 3 | 6 | 5 | 2 | 93 | 25 | 28 | 34 | 10 | 91 | 36 | 16 | 67 | 7 | 3 | 42.86% | 8 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 66 | 38 | 65 | 28 | 53 | 25 | 63.2% | 16.1% | 92.3% | 108.4 | LUCKY | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 26 | 8 | 10 | 8 | 0 | 26 | 7 | 2 | 22 | 7 | 2 | 28.57% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 21 | 11 | 22 | 8 | 16 | 9 | 50.0% | 19.2% | 88.5% | 107.7 | FUN | |
30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 60 | 24 | 22 | 14 | 0 | 75 | 21 | 19 | 32 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 26 | 41 | 17 | 34 | 17 | 23.1% | 8.3% | 85.3% | 93.7 | Unlucky | |
_Vs Division | 16 | 5 | 9 | 0 | 1 | 0 | 0 | 1 | 42 | 57 | -15 | 13 | 0.406 | 42 | 72 | 114 | 2 | 1 | 10 | 14 | 17 | 1 | 493 | 150 | 174 | 167 | 4 | 455 | 136 | 134 | 350 | 46 | 8 | 17.39% | 52 | 10 | 80.77% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 345 | 198 | 331 | 148 | 288 | 140 | 42.0% | 8.5% | 87.5% | 96.0 | Unlucky | |
_Vs Conference | 33 | 11 | 15 | 0 | 1 | 0 | 4 | 2 | 101 | 104 | -3 | 34 | 0.515 | 101 | 165 | 266 | 2 | 2 | 25 | 32 | 39 | 7 | 994 | 317 | 338 | 326 | 28 | 940 | 310 | 284 | 728 | 107 | 25 | 23.36% | 109 | 19 | 82.57% | 2 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 725 | 415 | 685 | 307 | 598 | 297 | 47.2% | 10.2% | 88.9% | 99.1 | FUN | |
_Since Last GM Reset | 54 | 18 | 21 | 0 | 3 | 1 | 5 | 6 | 159 | 164 | -5 | 59 | 0.546 | 159 | 263 | 422 | 4 | 2 | 46 | 48 | 57 | 12 | 1608 | 498 | 552 | 541 | 54 | 1614 | 498 | 381 | 1173 | 176 | 36 | 20.45% | 155 | 21 | 86.45% | 2 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 1194 | 684 | 1125 | 498 | 978 | 493 | 46.2% | 9.9% | 89.8% | 99.7 | FUN | |
Total | 54 | 18 | 21 | 0 | 3 | 1 | 5 | 6 | 159 | 164 | -5 | 59 | 0.546 | 159 | 263 | 422 | 4 | 2 | 46 | 48 | 57 | 12 | 1608 | 498 | 552 | 541 | 54 | 1614 | 498 | 381 | 1173 | 176 | 36 | 20.45% | 155 | 21 | 86.45% | 2 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 1194 | 684 | 1125 | 498 | 978 | 493 | 46.2% | 9.9% | 89.8% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1104 |
Neutral Zone Start | 732 |
Defensive Zone Start | 1026 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1497 |
Faceoffs Lost | 1365 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 19.4 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 117 |
---|---|
PP Goal | 36 |
PK Goal | 2 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 10 | 16 |
Lost | 11 | 10 |
Overtime Lost | 5 | 2 |
PP Attempt | 176 |
---|---|
PP Goal | 36 |
PK Attempt | 155 |
PK Goal Against | 21 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 29.9 |
Goals For | 2.9 |
Goals Against | 3.0 |
Hits | 21.7 |
Shots Blocked | 9.2 |
Pim | 7.1 |
Projected Total Cap Hit | 82,142,499$ |
Projected Cap Space | 1,357,501$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 54,148,761$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe ![]() | RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Alex Nedeljkovic ![]() | G | 27 | 1,500,000$ | 1,500,000$ | |||||||
Brady Skjei ![]() | D | 29 | 5,250,000$ | 5,250,000$ | |||||||
Carson Soucy ![]() | D | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | |||||
Chad Ruhwedel ![]() | D | 33 | 800,000$ | 800,000$ | |||||||
Clayton Keller ![]() | RW | 25 | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | |||
Eric Comrie ![]() | G | 28 | 1,800,000$ | 1,800,000$ | |||||||
Haydn Fleury ![]() | D | 27 | 762,500$ | 762,500$ | |||||||
James Reimer ![]() | G | 35 | 1,500,000$ | 1,500,000$ | |||||||
Joshua Morrissey ![]() | D | 28 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |||
Justin Brazeau ![]() | RW | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
Justin Danforth ![]() | C/RW | 30 | 975,000$ | 975,000$ | |||||||
Kyle Palmieri ![]() | LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Mitchell Stephens ![]() | C | 26 | 775,000$ | 775,000$ | |||||||
Morgan Rielly ![]() | D | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | |
Moritz Seider ![]() | D | 22 | 863,333$ | 863,333$ | |||||||
Nicholas Paul ![]() | C/LW | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | ||
Nick Bonino ![]() | C/LW | 35 | 800,000$ | 800,000$ | |||||||
Rafael Harvey-Pinard ![]() | RW | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Robert Thomas ![]() | C/RW | 24 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ |
Sam Carrick ![]() | C/RW | 31 | 850,000$ | 850,000$ | |||||||
Sean Kuraly ![]() | C/LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Timo Meier ![]() | RW | 26 | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ |
Tyson Jost ![]() | C | 25 | 2,000,000$ | 2,000,000$ | |||||||
Yanni Gourde ![]() | C/LW/RW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 2 | 34 | 8 | 14 | 12 | 6 | 31 | 10 | 8 | 21 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 22 | 13 | 22 | 9 | 19 | 9 | 54.5% | 17.6% | 83.9% | 101.5 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 35 | 12 | 8 | 15 | 0 | 33 | 9 | 12 | 17 | 8 | 3 | 37.50% | 6 | 2 | 66.67% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 14 | 19 | 9 | 17 | 8 | 33.3% | 14.3% | 81.8% | 96.1 | FUN | |
3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 1 | 1 | 32 | 9 | 14 | 8 | 1 | 30 | 6 | 4 | 17 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 13 | 20 | 8 | 17 | 9 | 50.0% | 12.5% | 90.0% | 102.5 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 38 | 10 | 5 | 23 | 0 | 28 | 13 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 13 | 19 | 7 | 17 | 9 | 25.0% | 2.6% | 89.3% | 91.9 | Unlucky | |
5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 1 | 54 | 20 | 19 | 15 | 11 | 64 | 20 | 10 | 40 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 49 | 28 | 42 | 19 | 38 | 19 | 33.3% | 11.1% | 87.5% | 98.6 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 7 | 18 | 8 | 0 | 30 | 7 | 4 | 30 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 23 | 14 | 19 | 8 | 17 | 9 | 0.0% | 3.0% | 90.0% | 93.0 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 2 | 1 | 23 | 4 | 11 | 7 | 1 | 22 | 8 | 2 | 28 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 20 | 9 | 20 | 9 | 18 | 10 | 50.0% | 17.4% | 86.4% | 103.8 | FUN | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 3 | 1 | 0 | 0 | 55 | 16 | 23 | 16 | 0 | 64 | 21 | 16 | 50 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 26 | 41 | 17 | 34 | 16 | 37.5% | 7.3% | 92.2% | 99.5 | DULL | |
9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 2 | 0.333 | 12 | 22 | 34 | 1 | 0 | 4 | 4 | 4 | 0 | 104 | 32 | 39 | 33 | 0 | 101 | 32 | 38 | 58 | 8 | 2 | 25.00% | 9 | 4 | 55.56% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 64 | 39 | 63 | 27 | 51 | 24 | 40.0% | 11.5% | 81.2% | 92.7 | FUN | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 4 | 1 | 0 | 0 | 52 | 22 | 11 | 19 | 0 | 48 | 16 | 6 | 54 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 43 | 23 | 38 | 18 | 38 | 20 | 71.4% | 9.6% | 95.8% | 105.4 | LUCKY | |
11 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 4 | 3 | 3 | 1 | 85 | 29 | 20 | 35 | 3 | 101 | 32 | 39 | 78 | 5 | 1 | 20.00% | 14 | 3 | 78.57% | 1 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 59 | 31 | 68 | 29 | 56 | 27 | 58.8% | 12.9% | 90.1% | 103.0 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 3 | 15 | 11 | 0 | 35 | 5 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 22 | 14 | 20 | 8 | 16 | 8 | 33.3% | 6.9% | 88.6% | 95.5 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 68 | 18 | 29 | 21 | 0 | 46 | 12 | 16 | 45 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 43 | 25 | 40 | 19 | 35 | 17 | 37.5% | 7.4% | 84.8% | 92.1 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 69 | 22 | 18 | 29 | 0 | 54 | 13 | 13 | 43 | 12 | 1 | 8.33% | 4 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 23 | 39 | 18 | 36 | 20 | 37.5% | 5.8% | 90.7% | 96.5 | Unlucky | |
15 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 10 | 0 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 4 | 2 | 4 | 0 | 91 | 32 | 28 | 30 | 3 | 81 | 28 | 24 | 63 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 65 | 38 | 63 | 27 | 56 | 27 | 47.1% | 11.0% | 87.7% | 98.6 | FUN | |
16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 0.667 | 7 | 13 | 20 | 0 | 1 | 3 | 2 | 2 | 0 | 85 | 28 | 30 | 27 | 0 | 61 | 26 | 44 | 64 | 12 | 3 | 25.00% | 12 | 1 | 91.67% | 1 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 68 | 38 | 54 | 27 | 57 | 28 | 57.1% | 8.2% | 93.4% | 101.7 | DULL | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 1 | 3 | 5 | 0 | 61 | 17 | 17 | 27 | 0 | 67 | 20 | 8 | 44 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 43 | 24 | 40 | 18 | 36 | 19 | 58.3% | 14.8% | 92.5% | 107.3 | LUCKY | |
18 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 4 | 9 | 0 | 0 | 0 | 2 | 1 | 3 | 54 | 16 | 28 | 8 | 7 | 42 | 19 | 8 | 57 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 49 | 27 | 41 | 19 | 39 | 19 | 71.4% | 9.3% | 92.9% | 102.1 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 8 | 8 | 11 | 3 | 29 | 14 | 4 | 17 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 24 | 13 | 20 | 9 | 19 | 10 | 33.3% | 7.4% | 89.7% | 97.1 | Unlucky | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 28 | 7 | 8 | 13 | 0 | 37 | 12 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 3.6% | 91.9% | 95.5 | DULL | |
21 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 0 | 0 | 1 | 22 | 8 | 6 | 7 | 1 | 49 | 7 | 0 | 16 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 19 | 10 | 24 | 8 | 18 | 9 | 50.0% | 18.2% | 93.9% | 112.1 | LUCKY | |
22 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 77 | 25 | 28 | 24 | 0 | 94 | 26 | 26 | 61 | 4 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 58 | 32 | 66 | 29 | 55 | 25 | 45.5% | 6.5% | 91.5% | 98.0 | DULL | |
23 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 60 | 17 | 23 | 20 | 0 | 66 | 18 | 12 | 37 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 26 | 44 | 16 | 31 | 16 | 40.0% | 8.3% | 89.4% | 97.7 | Unlucky | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 3 | 3 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 63 | 25 | 18 | 18 | 4 | 56 | 24 | 10 | 41 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 48 | 29 | 41 | 17 | 35 | 18 | 60.0% | 9.5% | 94.6% | 104.2 | LUCKY | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 32 | 5 | 13 | 14 | 0 | 31 | 11 | 4 | 15 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 22 | 13 | 21 | 8 | 16 | 8 | 75.0% | 9.4% | 96.8% | 106.1 | LUCKY | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 8 | 13 | 1 | 0 | 2 | 1 | 2 | 0 | 92 | 29 | 34 | 29 | 0 | 83 | 17 | 26 | 73 | 7 | 1 | 14.29% | 13 | 1 | 92.31% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 69 | 40 | 56 | 27 | 54 | 25 | 40.0% | 5.4% | 91.6% | 97.0 | DULL | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 12 | 7 | 5 | 4 | 39 | 8 | 4 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 19 | 10 | 24 | 11 | 21 | 10 | 40.0% | 7.7% | 92.3% | 100.0 | DULL | |
28 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 15 | 7 | 8 | 4 | 0.667 | 15 | 22 | 37 | 0 | 0 | 3 | 6 | 5 | 2 | 93 | 25 | 28 | 34 | 10 | 91 | 36 | 16 | 67 | 7 | 3 | 42.86% | 8 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 66 | 38 | 65 | 28 | 53 | 25 | 63.2% | 16.1% | 92.3% | 108.4 | LUCKY | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 26 | 8 | 10 | 8 | 0 | 26 | 7 | 2 | 22 | 7 | 2 | 28.57% | 1 | 0 | 100.00% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 21 | 11 | 22 | 8 | 16 | 9 | 50.0% | 19.2% | 88.5% | 107.7 | FUN | |
30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 60 | 24 | 22 | 14 | 0 | 75 | 21 | 19 | 32 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 44 | 26 | 41 | 17 | 34 | 17 | 23.1% | 8.3% | 85.3% | 93.7 | Unlucky | |
_Vs Division | 16 | 5 | 9 | 0 | 1 | 0 | 0 | 1 | 42 | 57 | -15 | 13 | 0.406 | 42 | 72 | 114 | 2 | 1 | 10 | 14 | 17 | 1 | 493 | 150 | 174 | 167 | 4 | 455 | 136 | 134 | 350 | 46 | 8 | 17.39% | 52 | 10 | 80.77% | 0 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 345 | 198 | 331 | 148 | 288 | 140 | 42.0% | 8.5% | 87.5% | 96.0 | Unlucky | |
_Vs Conference | 33 | 11 | 15 | 0 | 1 | 0 | 4 | 2 | 101 | 104 | -3 | 34 | 0.515 | 101 | 165 | 266 | 2 | 2 | 25 | 32 | 39 | 7 | 994 | 317 | 338 | 326 | 28 | 940 | 310 | 284 | 728 | 107 | 25 | 23.36% | 109 | 19 | 82.57% | 2 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 725 | 415 | 685 | 307 | 598 | 297 | 47.2% | 10.2% | 88.9% | 99.1 | FUN | |
_Since Last GM Reset | 54 | 18 | 21 | 0 | 3 | 1 | 5 | 6 | 159 | 164 | -5 | 59 | 0.546 | 159 | 263 | 422 | 4 | 2 | 46 | 48 | 57 | 12 | 1608 | 498 | 552 | 541 | 54 | 1614 | 498 | 381 | 1173 | 176 | 36 | 20.45% | 155 | 21 | 86.45% | 2 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 1194 | 684 | 1125 | 498 | 978 | 493 | 46.2% | 9.9% | 89.8% | 99.7 | FUN | |
Total | 54 | 18 | 21 | 0 | 3 | 1 | 5 | 6 | 159 | 164 | -5 | 59 | 0.546 | 159 | 263 | 422 | 4 | 2 | 46 | 48 | 57 | 12 | 1608 | 498 | 552 | 541 | 54 | 1614 | 498 | 381 | 1173 | 176 | 36 | 20.45% | 155 | 21 | 86.45% | 2 | 580 | 1104 | 52.54% | 526 | 1026 | 51.27% | 391 | 732 | 53.42% | 1194 | 684 | 1125 | 498 | 978 | 493 | 46.2% | 9.9% | 89.8% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1104 |
Neutral Zone Start | 732 |
Defensive Zone Start | 1026 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1497 |
Faceoffs Lost | 1365 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 19.4 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 117 |
---|---|
PP Goal | 36 |
PK Goal | 2 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 10 | 16 |
Lost | 11 | 10 |
Overtime Lost | 5 | 2 |
PP Attempt | 176 |
---|---|
PP Goal | 36 |
PK Attempt | 155 |
PK Goal Against | 21 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 29.9 |
Goals For | 2.9 |
Goals Against | 3.0 |
Hits | 21.7 |
Shots Blocked | 9.2 |
Pim | 7.1 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-07 | @ | Stars0,Predators2 | RECAP | ||
2024-10-09 | @ | Predators2,Red Wings3 (SO) | RECAP | ||
2024-10-12 | @ | Kraken3,Predators1 | RECAP | ||
2024-10-14 | @ | Oilers3,Predators2 | RECAP | ||
2024-10-16 | @ | Red Wings5,Predators4 (SO) | RECAP | ||
2024-10-19 | @ | Bruins5,Predators6 (SO) | RECAP | ||
2024-10-22 | @ | Predators2,Blackhawks1 | RECAP | ||
2024-10-23 | @ | Blue Jackets3,Predators1 | RECAP | ||
2024-10-25 | @ | Predators2,Lightning1 | RECAP | ||
2024-10-28 | @ | Oilers0,Predators2 | RECAP | ||
2024-10-30 | @ | Avalanche7,Predators5 | RECAP | ||
2024-11-01 | @ | Kings2,Predators1 (SO) | RECAP | ||
2024-11-03 | @ | Predators2,Capitals1 | RECAP | ||
2024-11-04 | @ | Predators4,Panthers3 (OT) | RECAP | ||
2024-11-06 | @ | Utah Hockey Club3,Predators1 | RECAP | ||
2024-11-08 | @ | Predators2,Avalanche8 | RECAP | ||
2024-11-11 | @ | Predators3,Oilers1 | RECAP | ||
2024-11-12 | @ | Predators10,Flames1 | RECAP | ||
2024-11-14 | @ | Predators3,Canucks4 | RECAP | ||
2024-11-17 | @ | Predators4,Kraken8 | RECAP | ||
2024-11-20 | @ | Jets4,Predators3 (SO) | RECAP | ||
2024-11-22 | @ | Predators3,Devils1 | RECAP | ||
2024-11-24 | @ | Flyers3,Predators1 | RECAP | ||
2024-11-26 | @ | Lightning4,Predators2 | RECAP | ||
2024-11-27 | @ | Predators1,Wild4 | RECAP | ||
2024-12-01 | @ | Predators2,Maple Leafs4 | RECAP | ||
2024-12-02 | @ | Predators4,Canadiens3 (OT) | RECAP | ||
2024-12-04 | @ | Predators2,Senators3 (OT) | RECAP | ||
2024-12-07 | @ | Flames4,Predators2 | RECAP | ||
2024-12-09 | @ | Predators3,Stars7 | RECAP | ||
2024-12-11 | @ | Predators5,Avalanche4 | RECAP | ||
2024-12-14 | @ | Rangers3,Predators2 (SO) | RECAP | ||
2024-12-16 | @ | Penguins4,Predators1 | RECAP | ||
2024-12-18 | @ | Kings1,Predators5 | RECAP | ||
2024-12-20 | @ | Hurricanes3,Predators2 (SO) | RECAP | ||
2024-12-24 | @ | Predators4,Blues3 (OT) | RECAP | ||
2024-12-27 | @ | Predators3,Jets5 | RECAP | ||
2024-12-28 | @ | Predators1,Wild3 | RECAP | ||
2024-12-31 | @ | Predators5,Canucks4 | RECAP | ||
2025-01-01 | @ | Predators3,Flames2 (SO) | RECAP | ||
2025-01-04 | @ | Predators4,Jets1 | RECAP | ||
2025-01-08 | @ | Capitals1,Predators3 | RECAP | ||
2025-01-11 | @ | Golden Knights3,Predators5 | RECAP | ||
2025-01-13 | @ | Blackhawks3,Predators1 | RECAP | ||
2025-01-15 | @ | Wild1,Predators3 | RECAP | ||
2025-01-18 | @ | Sharks1,Predators2 (SO) | RECAP | ||
2025-01-20 | @ | Predators3,Sharks2 (SO) | RECAP | ||
2025-01-22 | @ | Predators5,Ducks6 | RECAP | ||
2025-01-26 | @ | Canucks2,Predators3 (SO) | RECAP | ||
2025-01-28 | @ | Predators4,Sabres2 | RECAP | ||
2025-01-29 | @ | Predators3,Penguins1 | RECAP | ||
2025-01-31 | @ | Senators4,Predators3 | RECAP | ||
2025-02-04 | @ | Predators2,Blackhawks3 | RECAP | ||
2025-02-05 | @ | Sabres3,Predators5 | RECAP | ||
2025-02-19 | @ | ||||
2025-02-20 | @ | ||||
2025-02-22 | @ | ||||
2025-02-24 | @ | ||||
2025-02-26 | @ | ||||
2025-02-27 | @ | ||||
2025-03-01 | @ | ||||
2025-03-03 | @ | ||||
2025-03-05 | @ | ||||
2025-03-08 | @ | ||||
2025-03-11 | @ | ||||
2025-03-12 | @ | ||||
2025-03-15 | @ | ||||
2025-03-17 | @ | ||||
2025-03-19 | @ | ||||
2025-03-20 | @ | ||||
2025-03-22 | @ | ||||
2025-03-24 | @ | ||||
2025-03-26 | @ | ||||
2025-03-28 | @ | ||||
2025-03-29 | @ | ||||
2025-03-31 | @ | ||||
2025-04-03 | @ | ||||
2025-04-05 | @ | ||||
2025-04-07 | @ | ||||
2025-04-09 | @ | ||||
2025-04-11 | @ | ||||
2025-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,142,499$ | 0$ | 82,142,499$ | 1,357,501$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bridgestone Arena | |
City | Nashville | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 120$ | 80$ | 50$ | 35$ | 300$ |
Attendance | 102784 | 77195 | 29304 | 60134 | 14164 |
Attendance PCT | 65.89% | 59.38% | 56.35% | 57.82% | 54.48% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
15 | 10907 - 60.59% | 516,449$ | 13,427,674$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,142,499$ | 82,142,499$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
54,148,761$ | 82,142,499$ | 54,148,761$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
7,746,735$ | 68 | 419,094$ | 28,498,392$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,143,502$ | 82,142,499$ | -641,194,732$ | -662,591,499$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
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2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo nas 2024 | |||||
Aatos Koivu | 2024 | 66 | |||
Alex Jefferies | 2020 | 128 | |||
Amir Miftakhov | 2020 | 190 | |||
Andre Gasseau | 2021 | 208 | |||
Andrei Loshko | 2023 | 116 | |||
Ben King | 2022 | 81 | |||
Brett Hyland | 2023 | 180 | |||
Brian Elliott | Link | ||||
Charlie Forslund | 2024 | 194 | |||
Chase Clark | 2021 | 176 | |||
Christian Wolanin | Link | ||||
Clark Bishop | Link | ||||
Colten Ellis | 2019 | 70 | |||
Corey Tropp | |||||
Curtis Hall | 2018 | 127 | |||
Danila Klimovich | 2021 | 48 | |||
Daylan Kuefler | 2022 | 176 | |||
Denver Barkey | 2023 | 79 | |||
Dmitry Gamzin | 2024 | 98 | |||
Ethan Phillips | 2019 | 101 | |||
Fedor Svechkov | 2021 | 16 | |||
Gavin White | 2022 | 112 | |||
Gracyn Sawchyn | 2023 | 52 | |||
Ivan Demidov | 2024 | 2 | |||
Ivan Zhigalov | 2022 | 208 | |||
Jack Bar | 2021 | 80 | |||
Jared Davidson | 2022 | 144 | |||
Jesse Kiiskinen | 2023 | 84 | |||
Joona Saarelainen | 2024 | 162 | |||
Jordan Dumais | 2022 | 80 | |||
Lane Pederson | Link | ||||
Logan Brown | Link | ||||
Luca Cagnoni | 2023 | 93 | |||
Marek Vanacker | 2024 | 34 | |||
Mark Borowiecki | Link | ||||
Matvey Petrov | 2021 | 144 | |||
Matyas Sapovaliv | 2022 | 48 | |||
Maxim Groshev | 2020 | 97 | |||
Maxime Lagace | Link | ||||
Philippe Daoust | 2020 | 159 | |||
Ryan Dzingel | Link | ||||
Slater Koekkoek | Link | ||||
Talyn Boyko | 2021 | 79 | |||
Tomas Mrsic | 2024 | 130 | |||
Victor Stjernborg | 2021 | 112 | |||
Will Bitten | Link | ||||
Zaccharya Wisdom | 2023 | 212 |
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