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Nashville Predators 23-19-4, 50pts · 11th 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 | C | 100.00 | 79 | 44 | 78 | 74 | 93 | 83 | 88 | 73 | 78 | 71 | 77 | 79 | 74 | 75 | 73 | 67 | 50 | 72 | 27 | 7,142,857$/7yrs | |||
![]() | 0 | RW | 100.00 | 87 | 40 | 72 | 78 | 76 | 83 | 89 | 77 | 58 | 76 | 76 | 64 | 78 | 67 | 66 | 84 | 50 | 71 | 22 | 6,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 40 | 85 | 67 | 76 | 83 | 90 | 66 | 82 | 75 | 65 | 81 | 66 | 71 | 68 | 67 | 50 | 69 | 25 | 2,937,500$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 47 | 71 | 74 | 64 | 76 | 89 | 73 | 75 | 72 | 64 | 76 | 73 | 77 | 74 | 36 | 50 | 69 | 27 | 5,166,666$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 54 | 38 | 81 | 78 | 64 | 81 | 89 | 77 | 53 | 76 | 72 | 58 | 78 | 63 | 64 | 87 | 50 | 68 | 21 | 885,833$/1yrs | |||
![]() | 0 | C | 100.00 | 52 | 39 | 85 | 77 | 70 | 81 | 89 | 76 | 73 | 79 | 65 | 64 | 75 | 67 | 66 | 80 | 50 | 68 | 23 | 5,850,000$/7yrs | |||
![]() | 0 | C | 100.00 | 61 | 43 | 86 | 64 | 74 | 76 | 88 | 62 | 80 | 66 | 63 | 89 | 62 | 85 | 75 | 25 | 50 | 68 | 34 | 1,800,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 53 | 39 | 86 | 72 | 74 | 77 | 85 | 71 | 73 | 79 | 65 | 59 | 72 | 61 | 64 | 82 | 50 | 66 | 20 | 894,166$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 45 | 80 | 76 | 72 | 77 | 85 | 73 | 56 | 74 | 63 | 59 | 73 | 75 | 65 | 46 | 50 | 66 | 27 | 3,375,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 74 | 37 | 85 | 70 | 61 | 77 | 62 | 64 | 56 | 63 | 61 | 79 | 70 | 79 | 76 | 38 | 50 | 65 | 30 | 3,400,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 40 | 86 | 63 | 77 | 72 | 83 | 61 | 76 | 62 | 59 | 78 | 61 | 79 | 72 | 64 | 50 | 65 | 30 | 2,750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 88 | 40 | 78 | 64 | 75 | 77 | 76 | 62 | 54 | 61 | 61 | 78 | 62 | 71 | 66 | 42 | 50 | 65 | 25 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 76 | 73 | 85 | 87 | 86 | 72 | 30 | 74 | 69 | 81 | 56 | 71 | 67 | 76 | 50 | 73 | 25 | 5,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 99 | 47 | 61 | 67 | 81 | 83 | 72 | 65 | 30 | 73 | 70 | 86 | 54 | 79 | 73 | 42 | 50 | 73 | 30 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 42 | 88 | 61 | 84 | 87 | 83 | 59 | 30 | 72 | 53 | 87 | 48 | 89 | 79 | 33 | 50 | 71 | 38 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 43 | 84 | 67 | 91 | 80 | 74 | 66 | 30 | 69 | 70 | 79 | 56 | 71 | 67 | 54 | 50 | 70 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 41 | 73 | 63 | 82 | 85 | 68 | 62 | 30 | 67 | 57 | 79 | 46 | 75 | 68 | 62 | 50 | 68 | 27 | 1,375,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 41 | 65 | 64 | 79 | 82 | 61 | 63 | 30 | 73 | 54 | 74 | 49 | 71 | 67 | 82 | 50 | 66 | 25 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 86 | 42 | 78 | 65 | 83 | 74 | 88 | 64 | 76 | 70 | 60 | 75 | 62 | 73 | 67 | 49 | 50 | 67 | 26 | 1,275,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 73 | 48 | 61 | 66 | 84 | 75 | 76 | 68 | 53 | 72 | 60 | 59 | 68 | 85 | 75 | 41 | 50 | 65 | 34 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 56 | 39 | 89 | 62 | 70 | 68 | 63 | 59 | 53 | 61 | 58 | 56 | 59 | 73 | 67 | 38 | 50 | 58 | 26 | 925,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 72 | 42 | 78 | 69 | 77 | 79 | 80 | 67 | 56 | 71 | 64 | 73 | 64 | 74 | 69 | 57 | 50 | 68 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 92 | 95 | 93 | 77 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 86 | 90 | 49 | 50 | 86 | 34 | 7,000,000$/3yrs |
![]() | 0 | 100.00 | 84 | 83 | 81 | 82 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 85 | 89 | 52 | 50 | 80 | 34 | 2,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 78 | 67 | 65 | 87 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 71 | 75 | 62 | 53 | 74 | 25 | 850,000$/2yrs |
TEAM AVERAGE | 100.00 | 85 | 82 | 80 | 82 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 81 | 85 | 54 | 51 | 80 |
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 | 73 | 44 | 81 | 74 | 81 | 83 | 88 | 72 | 76 | 73 | 66 | 67 | 74 | 67 | 66 | 77 | 60 | 68 | 23 | 2,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 80 | 43 | 86 | 73 | 74 | 78 | 85 | 71 | 76 | 73 | 70 | 64 | 72 | 67 | 68 | 79 | 60 | 68 | 23 | 1,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 80 | 45 | 86 | 67 | 87 | 79 | 80 | 65 | 77 | 68 | 63 | 66 | 64 | 69 | 66 | 59 | 60 | 65 | 24 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 39 | 84 | 68 | 70 | 73 | 86 | 67 | 72 | 69 | 62 | 64 | 68 | 63 | 67 | 86 | 60 | 64 | 21 | 885,833$/1yrs | |||
![]() | 0 | LW | 100.00 | 99 | 41 | 78 | 67 | 81 | 73 | 62 | 66 | 53 | 65 | 65 | 59 | 64 | 67 | 65 | 51 | 60 | 63 | 23 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 52 | 79 | 65 | 96 | 72 | 76 | 63 | 78 | 67 | 59 | 64 | 65 | 63 | 62 | 85 | 67 | 63 | 21 | 863,333$/2yrs | |||
![]() | 0 | C | 100.00 | 71 | 64 | 68 | 60 | 84 | 86 | 83 | 59 | 63 | 61 | 58 | 60 | 59 | 79 | 71 | 54 | 36 | 62 | 30 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 43 | 88 | 63 | 82 | 74 | 72 | 61 | 70 | 62 | 59 | 60 | 63 | 67 | 64 | 72 | 60 | 61 | 23 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 43 | 89 | 63 | 72 | 79 | 74 | 62 | 73 | 60 | 61 | 59 | 62 | 61 | 63 | 71 | 60 | 60 | 20 | 769,167$/3yrs | |||
![]() | 0 | C | 100.00 | 64 | 39 | 86 | 61 | 72 | 75 | 74 | 60 | 76 | 58 | 59 | 62 | 60 | 65 | 63 | 77 | 60 | 60 | 22 | 833,333$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 38 | 87 | 61 | 75 | 76 | 74 | 59 | 62 | 58 | 60 | 57 | 61 | 75 | 68 | 48 | 59 | 60 | 27 | 700,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 54 | 49 | 85 | 60 | 72 | 87 | 89 | 58 | 55 | 56 | 59 | 54 | 58 | 65 | 63 | 64 | 60 | 59 | 22 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 45 | 86 | 56 | 69 | 79 | 78 | 55 | 61 | 53 | 54 | 52 | 56 | 65 | 63 | 66 | 60 | 56 | 22 | 728,333$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 42 | 89 | 68 | 85 | 75 | 64 | 66 | 30 | 74 | 65 | 69 | 54 | 67 | 64 | 85 | 60 | 66 | 23 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 39 | 85 | 63 | 71 | 77 | 68 | 62 | 30 | 66 | 58 | 69 | 53 | 78 | 69 | 36 | 36 | 65 | 29 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 89 | 61 | 87 | 79 | 76 | 59 | 30 | 60 | 58 | 62 | 49 | 78 | 68 | 46 | 36 | 63 | 29 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 39 | 88 | 61 | 69 | 85 | 62 | 59 | 30 | 64 | 54 | 68 | 46 | 73 | 67 | 42 | 36 | 62 | 26 | 725,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 46 | 84 | 61 | 77 | 79 | 66 | 59 | 30 | 60 | 57 | 65 | 48 | 63 | 62 | 64 | 60 | 62 | 21 | 733,333$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 39 | 88 | 60 | 72 | 81 | 78 | 59 | 30 | 57 | 58 | 61 | 49 | 73 | 67 | 54 | 36 | 61 | 26 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 45 | 87 | 60 | 81 | 84 | 74 | 58 | 30 | 57 | 57 | 59 | 46 | 61 | 63 | 74 | 60 | 61 | 19 | 805,833$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 41 | 87 | 59 | 77 | 74 | 64 | 58 | 30 | 55 | 57 | 59 | 45 | 69 | 65 | 58 | 60 | 59 | 24 | 900,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Andrew Beer |
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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 |
# | 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 | Nick Schmaltz | 0 | C | 46 | 19 | 28 | 47 | -7 | 6 | 0 | 49 | 167 | 50 | 90 | 11.38% | 19 | 20.76 | 12 | 15 | 27 | 137 | 0 | 0 | 0 | 7 | 2 | 2 | 47.56% | 1312 | 39 | 15 | 0 | 0 | 0.98 | 0 | 1 | ||
2 | Timo Meier | 0 | RW | 46 | 18 | 25 | 43 | -6 | 34 | 0 | 89 | 182 | 64 | 118 | 9.89% | 25 | 20.39 | 9 | 15 | 24 | 138 | 0 | 0 | 0 | 0 | 6 | 0 | 42.86% | 77 | 54 | 18 | 0 | 1 | 0.92 | 5 | 8 | ||
3 | Ryan Dzingel | 0 | C/LW | 46 | 13 | 22 | 35 | -8 | 26 | 10 | 59 | 105 | 29 | 60 | 12.38% | 26 | 19.86 | 8 | 11 | 19 | 132 | 0 | 0 | 0 | 6 | 3 | 0 | 38.46% | 65 | 32 | 12 | 0 | 0 | 0.77 | 0 | 0 | ||
4 | Clayton Keller | 0 | LW/RW | 46 | 12 | 17 | 29 | -3 | 8 | 0 | 44 | 152 | 38 | 82 | 7.89% | 14 | 17.17 | 4 | 9 | 13 | 106 | 0 | 1 | 1 | 50 | 1 | 0 | 36.54% | 52 | 36 | 10 | 0 | 0 | 0.73 | 1 | 3 | ||
5 | Kevin Hayes | 0 | C | 46 | 12 | 16 | 28 | -3 | 20 | 0 | 77 | 110 | 30 | 71 | 10.91% | 19 | 15.94 | 6 | 7 | 13 | 104 | 0 | 0 | 0 | 0 | 2 | 1 | 51.52% | 561 | 24 | 13 | 0 | 0 | 0.76 | 3 | 8 | ||
6 | Robert Thomas | 0 | C/RW | 46 | 9 | 18 | 27 | -3 | 4 | 0 | 36 | 100 | 27 | 51 | 9.00% | 18 | 15.90 | 4 | 8 | 12 | 104 | 0 | 0 | 0 | 0 | 3 | 0 | 54.84% | 31 | 23 | 15 | 0 | 0 | 0.74 | 0 | 0 | ||
7 | Mark Borowiecki | 0 | D | 46 | 4 | 15 | 19 | -11 | 86 | 0 | 116 | 59 | 38 | 35 | 6.78% | 61 | 26.81 | 2 | 5 | 7 | 143 | 0 | 0 | 0 | 71 | 1 | 0 | 0.00% | 0 | 22 | 51 | 0 | 0 | 0.31 | 0 | 0 | ||
8 | Brady Skjei | 0 | D | 46 | 4 | 13 | 17 | -8 | 33 | 5 | 67 | 86 | 35 | 35 | 4.65% | 53 | 24.94 | 3 | 6 | 9 | 146 | 1 | 0 | 1 | 91 | 0 | 0 | 0.00% | 0 | 24 | 36 | 0 | 0 | 0.30 | 0 | 0 | ||
9 | Paul Byron | 0 | LW | 45 | 4 | 8 | 12 | -3 | 6 | 0 | 41 | 92 | 38 | 57 | 4.35% | 22 | 14.54 | 1 | 0 | 1 | 8 | 0 | 1 | 1 | 137 | 0 | 1 | 50.00% | 22 | 27 | 10 | 1 | 0 | 0.37 | 0 | 0 | ||
10 | Pierre-Edouard Bellemare | 0 | C | 46 | 4 | 6 | 10 | -2 | 4 | 0 | 23 | 77 | 29 | 42 | 5.19% | 19 | 14.60 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 141 | 0 | 1 | 48.05% | 512 | 11 | 16 | 0 | 0 | 0.30 | 0 | 0 | ||
11 | Slater Koekkoek | 0 | D | 46 | 2 | 6 | 8 | -4 | 34 | 0 | 73 | 31 | 15 | 11 | 6.45% | 30 | 18.06 | 2 | 3 | 5 | 97 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 5 | 29 | 0 | 0 | 0.19 | 0 | 0 | ||
12 | Ron Hainsey | 0 | D | 46 | 3 | 3 | 6 | -3 | 4 | 0 | 37 | 45 | 18 | 13 | 6.67% | 65 | 23.38 | 1 | 1 | 2 | 99 | 0 | 0 | 0 | 140 | 0 | 0 | 0.00% | 0 | 8 | 42 | 0 | 0 | 0.11 | 0 | 0 | ||
13 | Chris Tierney | 0 | C/LW | 46 | 2 | 4 | 6 | 2 | 2 | 0 | 22 | 55 | 24 | 47 | 3.64% | 8 | 9.89 | 0 | 0 | 0 | 8 | 1 | 0 | 1 | 88 | 0 | 1 | 42.86% | 119 | 13 | 8 | 0 | 0 | 0.26 | 1 | 4 | ||
14 | Zach Aston-Reese | 0 | C/RW | 45 | 2 | 2 | 4 | -3 | 18 | 0 | 40 | 54 | 13 | 34 | 3.70% | 10 | 10.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 5 | 11 | 0 | 0 | 0.16 | 0 | 0 | ||
15 | Yanni Gourde | 0 | C/LW | 46 | 1 | 2 | 3 | 0 | 12 | 0 | 37 | 47 | 21 | 42 | 2.13% | 4 | 7.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 87.50% | 8 | 12 | 4 | 0 | 0 | 0.17 | 0 | 3 | ||
16 | Riley Nash | 0 | C/RW | 46 | 1 | 1 | 2 | 1 | 2 | 0 | 39 | 23 | 2 | 13 | 4.35% | 3 | 8.76 | 0 | 0 | 0 | 5 | 0 | 1 | 1 | 48 | 0 | 1 | 33.33% | 9 | 4 | 5 | 0 | 0 | 0.10 | 0 | 0 | ||
17 | Corey Perry | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 2 | 1 | 0.00% | 0 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Jon Merrill | 0 | D | 46 | 0 | 0 | 0 | -1 | 26 | 0 | 27 | 16 | 9 | 10 | 0.00% | 22 | 13.26 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 3 | 16 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Sean Kuraly | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 0.00% | 0 | 12.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Carson Soucy | 0 | D | 46 | 0 | 0 | 0 | 4 | 4 | 0 | 43 | 46 | 14 | 27 | 0.00% | 36 | 15.75 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 138 | 0 | 0 | 0.00% | 0 | 12 | 30 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 828 | 110 | 186 | 296 | -58 | 329 | 15 | 922 | 1454 | 498 | 840 | 7.57% | 454 | 16.58 | 52 | 80 | 132 | 1251 | 2 | 3 | 5 | 966 | 18 | 7 | 47.77% | 2782 | 355 | 342 | 1 | 1 | 0.43 | 10 | 27 |
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 | Marc-Andre Fleury | 39 | 17 | 18 | 4 | 0.930 | 2.00 | 2338 | 0 | 2 | 78 | 1122 | 485 | 1 | 2 | 0.800 | 30 | 39 | 7 | 7 | 5 | 5 | |
2 | Brian Elliott | 18 | 11 | 6 | 1 | 0.911 | 2.64 | 1090 | 2 | 0 | 48 | 541 | 249 | 0 | 0 | 0.833 | 6 | 18 | 24 | 3 | 1 | 1 | |
Team Total or Average | 57 | 28 | 24 | 5 | 0.924 | 2.21 | 3428 | 2 | 2 | 126 | 1663 | 734 | 1 | 2 | 0.806 | 36 | 57 | 31 | 10 | 6 | 6 |
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 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 6 | 12 | 0 | 0 | 0 | 0 | 4 | 3 | 68 | 12 | 18 | 30 | 12 | 59 | 16 | 8 | 37 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 23 | 47 | 21 | 40 | 18 | 50.0% | 8.8% | 93.2% | 102.0 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 93 | 29 | 32 | 32 | 0 | 99 | 36 | 20 | 73 | 8 | 4 | 50.00% | 10 | 3 | 70.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 58 | 32 | 67 | 27 | 54 | 27 | 28.6% | 6.5% | 91.9% | 98.4 | DULL | |
3 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 68 | 28 | 14 | 24 | 2 | 59 | 20 | 18 | 31 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 44 | 25 | 40 | 18 | 35 | 18 | 60.0% | 5.9% | 93.2% | 99.1 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 3 | 0 | 28 | 12 | 5 | 11 | 0 | 36 | 12 | 9 | 20 | 6 | 3 | 50.00% | 2 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 19 | 11 | 23 | 9 | 16 | 7 | 75.0% | 21.4% | 97.2% | 118.7 | LUCKY | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 58 | 20 | 16 | 22 | 0 | 72 | 26 | 16 | 42 | 7 | 3 | 42.86% | 8 | 3 | 62.50% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 41 | 23 | 44 | 17 | 34 | 16 | 28.6% | 8.6% | 88.9% | 97.5 | Unlucky | |
6 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 4 | 1 | 2 | 68 | 19 | 23 | 24 | 5 | 57 | 19 | 12 | 46 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 1 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 26 | 45 | 19 | 34 | 17 | 62.5% | 8.8% | 94.7% | 103.6 | DULL | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 24 | 19 | 7 | 0 | 54 | 25 | 20 | 43 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 41 | 23 | 42 | 19 | 35 | 16 | 25.0% | 4.0% | 87.0% | 91.0 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 28 | 10 | 7 | 11 | 0 | 33 | 7 | 8 | 23 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 19 | 10 | 22 | 9 | 17 | 8 | 0.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 10 | 16 | 8 | 0 | 33 | 13 | 8 | 27 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 22 | 13 | 20 | 8 | 17 | 8 | 0.0% | 2.9% | 90.9% | 93.9 | Unlucky | |
10 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 1 | 3 | 63 | 17 | 30 | 16 | 7 | 59 | 21 | 14 | 41 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 26 | 44 | 20 | 40 | 18 | 42.9% | 6.3% | 93.2% | 99.6 | DULL | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 55 | 19 | 18 | 18 | 5 | 59 | 22 | 14 | 36 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 22 | 46 | 19 | 36 | 17 | 28.6% | 5.5% | 89.8% | 95.3 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 62 | 21 | 20 | 21 | 0 | 41 | 19 | 10 | 49 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 26 | 39 | 16 | 34 | 18 | 100.0% | 3.2% | 95.1% | 98.3 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 1 | 0 | 62 | 14 | 22 | 26 | 0 | 59 | 18 | 18 | 41 | 3 | 1 | 33.33% | 9 | 1 | 88.89% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 23 | 41 | 18 | 36 | 17 | 66.7% | 8.1% | 94.9% | 103.0 | DULL | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 30 | 8 | 6 | 12 | 4 | 29 | 7 | 12 | 26 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 23 | 13 | 21 | 10 | 18 | 8 | 66.7% | 10.0% | 93.1% | 103.1 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 28 | 18 | 5 | 5 | 0 | 31 | 12 | 10 | 15 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 20 | 12 | 20 | 9 | 18 | 8 | 50.0% | 7.1% | 90.3% | 97.5 | Unlucky | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 85 | 22 | 33 | 30 | 0 | 89 | 22 | 26 | 58 | 13 | 3 | 23.08% | 8 | 2 | 75.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 62 | 36 | 61 | 27 | 55 | 26 | 50.0% | 8.2% | 93.3% | 101.5 | DULL | |
17 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 2 | 2 | 1 | 68 | 19 | 25 | 22 | 4 | 45 | 20 | 16 | 43 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 50 | 31 | 37 | 18 | 37 | 18 | 100.0% | 7.4% | 97.8% | 105.1 | DULL | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 69 | 16 | 33 | 20 | 0 | 65 | 17 | 14 | 31 | 12 | 3 | 25.00% | 7 | 4 | 42.86% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 28 | 41 | 18 | 32 | 16 | 20.0% | 5.8% | 87.7% | 93.5 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 74 | 25 | 19 | 30 | 0 | 54 | 24 | 14 | 38 | 7 | 3 | 42.86% | 7 | 4 | 42.86% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 44 | 26 | 40 | 18 | 35 | 17 | 50.0% | 9.5% | 85.2% | 94.6 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 30 | 8 | 16 | 6 | 0 | 32 | 7 | 6 | 20 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 20 | 11 | 22 | 9 | 16 | 8 | 50.0% | 10.0% | 96.9% | 106.9 | LUCKY | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 4 | 0 | 0 | 66 | 18 | 31 | 17 | 0 | 56 | 18 | 16 | 45 | 8 | 3 | 37.50% | 8 | 3 | 62.50% | 1 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 23 | 40 | 18 | 36 | 17 | 100.0% | 7.6% | 94.6% | 102.2 | DULL | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 12 | 14 | 10 | 0 | 29 | 11 | 2 | 16 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 22 | 14 | 20 | 8 | 16 | 7 | 42.9% | 8.3% | 86.2% | 94.5 | Unlucky | |
23 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 6 | 4 | 5 | 0.833 | 10 | 15 | 25 | 0 | 0 | 4 | 6 | 0 | 1 | 99 | 35 | 42 | 22 | 6 | 78 | 19 | 14 | 52 | 19 | 8 | 42.11% | 6 | 2 | 66.67% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 71 | 42 | 58 | 27 | 54 | 29 | 33.3% | 10.1% | 92.3% | 102.4 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 12 | 9 | 11 | 0 | 31 | 13 | 4 | 20 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 22 | 14 | 22 | 8 | 15 | 7 | 25.0% | 3.1% | 87.1% | 90.2 | Unlucky | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 28 | 6 | 9 | 13 | 0 | 23 | 6 | 6 | 19 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 21 | 12 | 20 | 10 | 18 | 9 | 50.0% | 17.9% | 87.0% | 104.8 | FUN | |
26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 1 | 3 | 5 | 0 | 72 | 17 | 30 | 25 | 0 | 55 | 24 | 16 | 30 | 14 | 6 | 42.86% | 8 | 1 | 87.50% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 44 | 26 | 41 | 20 | 34 | 16 | 42.9% | 12.5% | 90.9% | 103.4 | FUN | |
_Vs Division | 12 | 5 | 4 | 0 | 0 | 0 | 1 | 2 | 32 | 29 | 3 | 14 | 0.583 | 32 | 51 | 83 | 1 | 0 | 6 | 18 | 7 | 3 | 386 | 122 | 131 | 131 | 16 | 340 | 109 | 80 | 236 | 46 | 15 | 32.61% | 39 | 9 | 76.92% | 1 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 266 | 152 | 255 | 112 | 213 | 107 | 45.9% | 8.3% | 91.5% | 99.8 | DULL | |
_Vs Conference | 28 | 12 | 8 | 0 | 2 | 1 | 2 | 3 | 75 | 64 | 11 | 36 | 0.643 | 75 | 119 | 194 | 1 | 0 | 15 | 35 | 21 | 8 | 891 | 267 | 316 | 300 | 29 | 809 | 263 | 208 | 559 | 114 | 36 | 31.58% | 98 | 21 | 78.57% | 2 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 609 | 347 | 591 | 266 | 508 | 250 | 47.6% | 8.4% | 92.1% | 100.5 | DULL | |
_Since Last GM Reset | 46 | 16 | 19 | 0 | 2 | 1 | 5 | 3 | 115 | 110 | 5 | 50 | 0.543 | 115 | 186 | 301 | 1 | 2 | 27 | 44 | 37 | 12 | 1454 | 451 | 512 | 473 | 45 | 1337 | 454 | 331 | 922 | 174 | 52 | 29.89% | 156 | 38 | 75.64% | 2 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 1005 | 579 | 974 | 432 | 825 | 405 | 46.7% | 7.9% | 91.8% | 99.7 | DULL | |
Total | 46 | 16 | 19 | 0 | 2 | 1 | 5 | 3 | 115 | 110 | 5 | 50 | 0.543 | 115 | 186 | 301 | 1 | 2 | 27 | 44 | 37 | 12 | 1454 | 451 | 512 | 473 | 45 | 1337 | 454 | 331 | 922 | 174 | 52 | 29.89% | 156 | 38 | 75.64% | 2 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 1005 | 579 | 974 | 432 | 825 | 405 | 46.7% | 7.9% | 91.8% | 99.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1117 |
Neutral Zone Start | 599 |
Defensive Zone Start | 1066 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1329 |
Faceoffs Lost | 1453 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 31.2 | 30.68 |
Overtime | 32.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 60 |
---|---|
PP Goal | 52 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 11 | 12 |
Lost | 10 | 9 |
Overtime Lost | 2 | 2 |
PP Attempt | 174 |
---|---|
PP Goal | 52 |
PK Attempt | 156 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 29.1 |
Goals For | 2.5 |
Goals Against | 2.4 |
Hits | 20.0 |
Shots Blocked | 9.9 |
Pim | 7.2 |
Projected Total Cap Hit | 67,752,022$ |
Projected Cap Space | 13,747,978$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 38,656,815$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brady Skjei ![]() | D | 25 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Brian Elliott ![]() | G | 34 | 2,000,000$ | 2,000,000$ | |||||||
Carson Soucy ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Chris Driedger ![]() | G | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Chris Tierney ![]() | C/LW | 25 | 2,937,500$ | 2,937,500$ | |||||||
Clayton Keller ![]() | LW/RW | 21 | 885,833$ | 885,833$ | |||||||
Corey Perry ![]() | RW | 34 | 1,500,000$ | 1,500,000$ | |||||||
Joakim Nygard ![]() | LW | 26 | 925,000$ | 925,000$ | |||||||
Jon Merrill ![]() | D | 27 | 1,375,000$ | 1,375,000$ | |||||||
Kevin Hayes ![]() | C | 27 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | |
Marc-Andre Fleury ![]() | G | 34 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |||||
Mark Borowiecki ![]() | D | 30 | 1,200,000$ | 1,200,000$ | |||||||
Nick Schmaltz ![]() | C | 23 | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | |
Paul Byron ![]() | LW | 30 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | ||||
Pierre-Edouard Bellemare ![]() | C | 34 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Riley Nash ![]() | C/RW | 30 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Robert Thomas ![]() | C/RW | 20 | 894,166$ | 894,166$ | 894,166$ | ||||||
Ron Hainsey ![]() | D | 38 | 3,500,000$ | 3,500,000$ | |||||||
Ryan Dzingel ![]() | C/LW | 27 | 3,375,000$ | 3,375,000$ | 3,375,000$ | ||||||
Sean Kuraly ![]() | C | 26 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Slater Koekkoek ![]() | D | 25 | 925,000$ | 925,000$ | |||||||
Timo Meier ![]() | RW | 22 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||
Yanni Gourde ![]() | C/LW | 27 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | ||
Zach Aston-Reese ![]() | C/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ |
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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 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 6 | 12 | 0 | 0 | 0 | 0 | 4 | 3 | 68 | 12 | 18 | 30 | 12 | 59 | 16 | 8 | 37 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 23 | 47 | 21 | 40 | 18 | 50.0% | 8.8% | 93.2% | 102.0 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 93 | 29 | 32 | 32 | 0 | 99 | 36 | 20 | 73 | 8 | 4 | 50.00% | 10 | 3 | 70.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 58 | 32 | 67 | 27 | 54 | 27 | 28.6% | 6.5% | 91.9% | 98.4 | DULL | |
3 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 68 | 28 | 14 | 24 | 2 | 59 | 20 | 18 | 31 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 44 | 25 | 40 | 18 | 35 | 18 | 60.0% | 5.9% | 93.2% | 99.1 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 3 | 0 | 28 | 12 | 5 | 11 | 0 | 36 | 12 | 9 | 20 | 6 | 3 | 50.00% | 2 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 19 | 11 | 23 | 9 | 16 | 7 | 75.0% | 21.4% | 97.2% | 118.7 | LUCKY | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 58 | 20 | 16 | 22 | 0 | 72 | 26 | 16 | 42 | 7 | 3 | 42.86% | 8 | 3 | 62.50% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 41 | 23 | 44 | 17 | 34 | 16 | 28.6% | 8.6% | 88.9% | 97.5 | Unlucky | |
6 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 4 | 1 | 2 | 68 | 19 | 23 | 24 | 5 | 57 | 19 | 12 | 46 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 1 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 26 | 45 | 19 | 34 | 17 | 62.5% | 8.8% | 94.7% | 103.6 | DULL | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 24 | 19 | 7 | 0 | 54 | 25 | 20 | 43 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 41 | 23 | 42 | 19 | 35 | 16 | 25.0% | 4.0% | 87.0% | 91.0 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 28 | 10 | 7 | 11 | 0 | 33 | 7 | 8 | 23 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 19 | 10 | 22 | 9 | 17 | 8 | 0.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 10 | 16 | 8 | 0 | 33 | 13 | 8 | 27 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 22 | 13 | 20 | 8 | 17 | 8 | 0.0% | 2.9% | 90.9% | 93.9 | Unlucky | |
10 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 1 | 3 | 63 | 17 | 30 | 16 | 7 | 59 | 21 | 14 | 41 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 26 | 44 | 20 | 40 | 18 | 42.9% | 6.3% | 93.2% | 99.6 | DULL | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 55 | 19 | 18 | 18 | 5 | 59 | 22 | 14 | 36 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 22 | 46 | 19 | 36 | 17 | 28.6% | 5.5% | 89.8% | 95.3 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 62 | 21 | 20 | 21 | 0 | 41 | 19 | 10 | 49 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 26 | 39 | 16 | 34 | 18 | 100.0% | 3.2% | 95.1% | 98.3 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 1 | 0 | 62 | 14 | 22 | 26 | 0 | 59 | 18 | 18 | 41 | 3 | 1 | 33.33% | 9 | 1 | 88.89% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 23 | 41 | 18 | 36 | 17 | 66.7% | 8.1% | 94.9% | 103.0 | DULL | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 30 | 8 | 6 | 12 | 4 | 29 | 7 | 12 | 26 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 23 | 13 | 21 | 10 | 18 | 8 | 66.7% | 10.0% | 93.1% | 103.1 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 28 | 18 | 5 | 5 | 0 | 31 | 12 | 10 | 15 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 20 | 12 | 20 | 9 | 18 | 8 | 50.0% | 7.1% | 90.3% | 97.5 | Unlucky | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 85 | 22 | 33 | 30 | 0 | 89 | 22 | 26 | 58 | 13 | 3 | 23.08% | 8 | 2 | 75.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 62 | 36 | 61 | 27 | 55 | 26 | 50.0% | 8.2% | 93.3% | 101.5 | DULL | |
17 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 2 | 2 | 1 | 68 | 19 | 25 | 22 | 4 | 45 | 20 | 16 | 43 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 50 | 31 | 37 | 18 | 37 | 18 | 100.0% | 7.4% | 97.8% | 105.1 | DULL | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 69 | 16 | 33 | 20 | 0 | 65 | 17 | 14 | 31 | 12 | 3 | 25.00% | 7 | 4 | 42.86% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 45 | 28 | 41 | 18 | 32 | 16 | 20.0% | 5.8% | 87.7% | 93.5 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 74 | 25 | 19 | 30 | 0 | 54 | 24 | 14 | 38 | 7 | 3 | 42.86% | 7 | 4 | 42.86% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 44 | 26 | 40 | 18 | 35 | 17 | 50.0% | 9.5% | 85.2% | 94.6 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 30 | 8 | 16 | 6 | 0 | 32 | 7 | 6 | 20 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 20 | 11 | 22 | 9 | 16 | 8 | 50.0% | 10.0% | 96.9% | 106.9 | LUCKY | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 4 | 0 | 0 | 66 | 18 | 31 | 17 | 0 | 56 | 18 | 16 | 45 | 8 | 3 | 37.50% | 8 | 3 | 62.50% | 1 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 42 | 23 | 40 | 18 | 36 | 17 | 100.0% | 7.6% | 94.6% | 102.2 | DULL | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 12 | 14 | 10 | 0 | 29 | 11 | 2 | 16 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 22 | 14 | 20 | 8 | 16 | 7 | 42.9% | 8.3% | 86.2% | 94.5 | Unlucky | |
23 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 6 | 4 | 5 | 0.833 | 10 | 15 | 25 | 0 | 0 | 4 | 6 | 0 | 1 | 99 | 35 | 42 | 22 | 6 | 78 | 19 | 14 | 52 | 19 | 8 | 42.11% | 6 | 2 | 66.67% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 71 | 42 | 58 | 27 | 54 | 29 | 33.3% | 10.1% | 92.3% | 102.4 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 12 | 9 | 11 | 0 | 31 | 13 | 4 | 20 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 22 | 14 | 22 | 8 | 15 | 7 | 25.0% | 3.1% | 87.1% | 90.2 | Unlucky | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 28 | 6 | 9 | 13 | 0 | 23 | 6 | 6 | 19 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 21 | 12 | 20 | 10 | 18 | 9 | 50.0% | 17.9% | 87.0% | 104.8 | FUN | |
26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 1 | 3 | 5 | 0 | 72 | 17 | 30 | 25 | 0 | 55 | 24 | 16 | 30 | 14 | 6 | 42.86% | 8 | 1 | 87.50% | 0 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 44 | 26 | 41 | 20 | 34 | 16 | 42.9% | 12.5% | 90.9% | 103.4 | FUN | |
_Vs Division | 12 | 5 | 4 | 0 | 0 | 0 | 1 | 2 | 32 | 29 | 3 | 14 | 0.583 | 32 | 51 | 83 | 1 | 0 | 6 | 18 | 7 | 3 | 386 | 122 | 131 | 131 | 16 | 340 | 109 | 80 | 236 | 46 | 15 | 32.61% | 39 | 9 | 76.92% | 1 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 266 | 152 | 255 | 112 | 213 | 107 | 45.9% | 8.3% | 91.5% | 99.8 | DULL | |
_Vs Conference | 28 | 12 | 8 | 0 | 2 | 1 | 2 | 3 | 75 | 64 | 11 | 36 | 0.643 | 75 | 119 | 194 | 1 | 0 | 15 | 35 | 21 | 8 | 891 | 267 | 316 | 300 | 29 | 809 | 263 | 208 | 559 | 114 | 36 | 31.58% | 98 | 21 | 78.57% | 2 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 609 | 347 | 591 | 266 | 508 | 250 | 47.6% | 8.4% | 92.1% | 100.5 | DULL | |
_Since Last GM Reset | 46 | 16 | 19 | 0 | 2 | 1 | 5 | 3 | 115 | 110 | 5 | 50 | 0.543 | 115 | 186 | 301 | 1 | 2 | 27 | 44 | 37 | 12 | 1454 | 451 | 512 | 473 | 45 | 1337 | 454 | 331 | 922 | 174 | 52 | 29.89% | 156 | 38 | 75.64% | 2 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 1005 | 579 | 974 | 432 | 825 | 405 | 46.7% | 7.9% | 91.8% | 99.7 | DULL | |
Total | 46 | 16 | 19 | 0 | 2 | 1 | 5 | 3 | 115 | 110 | 5 | 50 | 0.543 | 115 | 186 | 301 | 1 | 2 | 27 | 44 | 37 | 12 | 1454 | 451 | 512 | 473 | 45 | 1337 | 454 | 331 | 922 | 174 | 52 | 29.89% | 156 | 38 | 75.64% | 2 | 531 | 1117 | 47.54% | 519 | 1066 | 48.69% | 279 | 599 | 46.58% | 1005 | 579 | 974 | 432 | 825 | 405 | 46.7% | 7.9% | 91.8% | 99.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1117 |
Neutral Zone Start | 599 |
Defensive Zone Start | 1066 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1329 |
Faceoffs Lost | 1453 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 31.2 | 30.68 |
Overtime | 32.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 60 |
---|---|
PP Goal | 52 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 11 | 12 |
Lost | 10 | 9 |
Overtime Lost | 2 | 2 |
PP Attempt | 174 |
---|---|
PP Goal | 52 |
PK Attempt | 156 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 29.1 |
Goals For | 2.5 |
Goals Against | 2.4 |
Hits | 20.0 |
Shots Blocked | 9.9 |
Pim | 7.2 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Wild5,Predators3 | RECAP | ||
2020-10-27 | @ | Red Wings3,Predators2 | RECAP | ||
2020-10-30 | @ | Sharks1,Predators5 | RECAP | ||
2020-11-01 | @ | Capitals3,Predators1 | RECAP | ||
2020-11-03 | @ | Predators3,Kings2 | RECAP | ||
2020-11-06 | @ | Predators5,Golden Knights4 | RECAP | ||
2020-11-08 | @ | Predators2,Coyotes3 (OT) | RECAP | ||
2020-11-10 | @ | Panthers5,Predators2 | RECAP | ||
2020-11-13 | @ | Ducks3,Predators2 | RECAP | ||
2020-11-15 | @ | Wild3,Predators4 | RECAP | ||
2020-11-17 | @ | Predators1,Lightning4 | RECAP | ||
2020-11-20 | @ | Blackhawks1,Predators3 | RECAP | ||
2020-11-22 | @ | Flames3,Predators5 | RECAP | ||
2020-11-24 | @ | Rangers1,Predators2 (SO) | RECAP | ||
2020-11-26 | @ | Predators3,Red Wings5 | RECAP | ||
2020-11-29 | @ | Predators1,Avalanche3 | RECAP | ||
2020-12-01 | @ | Predators1,Sharks3 | RECAP | ||
2020-12-04 | @ | Predators2,Canucks3 (SO) | RECAP | ||
2020-12-08 | @ | Blackhawks3,Predators2 (SO) | RECAP | ||
2020-12-11 | @ | Jets2,Predators1 | RECAP | ||
2020-12-13 | @ | Canucks1,Predators2 (SO) | RECAP | ||
2020-12-15 | @ | Predators3,Blues2 (SO) | RECAP | ||
2020-12-17 | @ | Blues1,Predators3 | RECAP | ||
2020-12-19 | @ | Golden Knights1,Predators4 | RECAP | ||
2020-12-21 | @ | Predators1,Hurricanes4 | RECAP | ||
2020-12-22 | @ | Predators2,Panthers3 | RECAP | ||
2020-12-25 | @ | Lightning3,Predators1 | RECAP | ||
2020-12-29 | @ | Devils4,Predators3 | RECAP | ||
2021-01-01 | @ | Sharks2,Predators1 | RECAP | ||
2021-01-03 | @ | Predators2,Sabres3 | RECAP | ||
2021-01-05 | @ | Stars2,Predators1 (SO) | RECAP | ||
2021-01-07 | @ | Predators3,Rangers0 | RECAP | ||
2021-01-08 | @ | Predators6,Islanders1 | RECAP | ||
2021-01-10 | @ | Predators3,Senators1 | RECAP | ||
2021-01-12 | @ | Predators2,Bruins1 (SO) | RECAP | ||
2021-01-14 | @ | Coyotes1,Predators2 (OT) | RECAP | ||
2021-01-18 | @ | Penguins0,Predators1 | RECAP | ||
2021-01-19 | @ | Predators1,Penguins2 | RECAP | ||
2021-01-23 | @ | Predators2,Stars4 | RECAP | ||
2021-01-26 | @ | Predators2,Kings1 | RECAP | ||
2021-01-27 | @ | Predators3,Ducks1 | RECAP | ||
2021-01-29 | @ | Bruins3,Predators4 (SO) | RECAP | ||
2021-01-31 | @ | Predators5,Blackhawks2 | RECAP | ||
2021-02-03 | @ | Predators4,Jets1 | RECAP | ||
2021-02-05 | @ | Predators3,Oilers2 (OT) | RECAP | ||
2021-02-07 | @ | Ducks4,Predators1 | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,752,022$ | 0$ | 67,752,022$ | 13,747,978$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Sommet Center | |
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 | 91960 | 66744 | 25937 | 53569 | 12403 |
Attendance PCT | 66.64% | 58.04% | 56.38% | 58.23% | 53.93% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
18 | 10896 - 60.53% | 515,929$ | 11,866,364$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,752,022$ | 67,752,022$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
38,656,815$ | 67,752,022$ | 38,656,815$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
9,286,720$ | 78 | 364,258$ | 28,412,124$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
28,412,124$ | 67,752,022$ | -366,538,969$ | -385,664,373$ |
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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2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 2021 | |||||
2 ballo nas 2021 | |||||
Aaron Johnson | |||||
Alex Jefferies | 2020 | 128 | |||
Alexey Marchenko | |||||
Amir Miftakhov | 2020 | 190 | |||
Andong Song | |||||
Andreas Soderberg | |||||
Andrei Mironov | |||||
Andrew MacDonald | Link | ||||
Anton Andersson | |||||
Avery Peterson | |||||
Ben Lovejoy | Link | ||||
Carson McMillan | |||||
Christopher Paquette | 2016 | 160 | |||
Clarke MacArthur | |||||
Cole Koepke | 2018 | 189 | |||
Cole Perfetti | 2020 | 7 | |||
Colten Ellis | 2019 | 70 | |||
Corey Tropp | |||||
Curtis Hall | 2018 | 127 | |||
Dwight King | |||||
Erik Condra | |||||
Ethan Phillips | 2019 | 101 | |||
Evan Cormier | 2016 | 100 | |||
Gabriel Paquin-Boudreau | |||||
Giorgio Estephan | |||||
Ivan Nalimov | |||||
Jacob Golden | |||||
Jeremy Smith | |||||
Jesse Ylonen | 2018 | 34 | |||
John Piccinich | |||||
Jonathan Kovacevic | |||||
Liam O'Brien | |||||
Lukas Sedlak | Link | ||||
Magnus Chrona | 2018 | 158 | |||
Mason Lohrei | 2020 | 66 | |||
Matej Paulovic | |||||
Matthew Wedman | 2019 | 194 | |||
Maxim Groshev | 2020 | 97 | |||
Michael Latta | |||||
Michael McCarron | |||||
Mikhail Shalagin | 2019 | 163 | |||
Miles Gendron | |||||
Moritz Seider | 2019 | 9 | |||
Nail Yakupov | |||||
Nicolas Mattinen | 2016 | 190 | |||
Nikita Alexandrov | 2019 | 66 | |||
Nikita Nikitin | |||||
Philippe Cornet | |||||
Philippe Daoust | 2020 | 159 | |||
Santeri Virtanen | |||||
Scott Kosmachuk | |||||
Shakir Mukhamadullin | 2020 | 35 | |||
Steve Oleksy | |||||
Taylor Beck | |||||
Tomas Vincour | |||||
Tyler Randell | |||||
Tyler Steenbergen | |||||
Victor Bartley | |||||
Vladislav Kara | |||||
jerome samson | |||||
joey laleggia | |||||
jonatan nielsen | |||||
paul szczechura |
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