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Full Scoreboard »» |
Nashville Predators 6-4-3, 15pts · 8th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Corey Perry (C) | 0 | RW | 100.00 | 71 | 90 | 76 | 76 | 80 | 65 | 85 | 77 | 25 | 65 | 73 | 61 | 61 | 95 | 99 | 70 | 50 | 0 | 38 | 775,000$/1yrs | |||
Adrian Kempe | 0 | RW | 100.00 | 80 | 45 | 74 | 92 | 75 | 79 | 97 | 90 | 32 | 86 | 86 | 75 | 75 | 71 | 72 | 85 | 50 | 0 | 27 | 5,500,000$/3yrs | |||
Nick Bonino | 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$/1yrs | |||
Nicholas Paul | 0 | C/LW | 100.00 | 78 | 55 | 89 | 85 | 81 | 76 | 98 | 89 | 92 | 72 | 80 | 71 | 25 | 69 | 71 | 79 | 50 | 0 | 28 | 3,150,000$/6yrs | |||
Clayton Keller | 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$/5yrs | |||
Justin Brazeau | 0 | RW | 100.00 | 88 | 47 | 96 | 65 | 84 | 58 | 83 | 71 | 35 | 60 | 77 | 66 | 25 | 45 | 45 | 73 | 50 | 0 | 25 | 775,000$/2yrs | |||
Sean Kuraly | 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$/2yrs | |||
Timo Meier | 0 | RW | 100.00 | 81 | 55 | 81 | 88 | 75 | 76 | 91 | 83 | 47 | 77 | 88 | 65 | 38 | 70 | 71 | 82 | 50 | 0 | 26 | 8,800,000$/8yrs | |||
Chris Kreider (A) | 0 | LW | 99.00 | 77 | 45 | 89 | 89 | 80 | 79 | 98 | 95 | 40 | 81 | 92 | 72 | 63 | 81 | 83 | 86 | 50 | 0 | 32 | 6,500,000$/4yrs | |||
Robert Thomas | 0 | C/RW | 99.00 | 59 | 41 | 83 | 85 | 68 | 85 | 95 | 88 | 94 | 90 | 83 | 80 | 48 | 68 | 71 | 83 | 50 | 0 | 24 | 8,125,000$/8yrs | |||
Sam Carrick | 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$/1yrs | |||
Yanni Gourde | 0 | C/LW/RW | 100.00 | 85 | 57 | 78 | 81 | 61 | 76 | 98 | 68 | 84 | 73 | 66 | 82 | 75 | 70 | 75 | 74 | 50 | 0 | 31 | 5,166,666$/2yrs | |||
Moritz Seider | 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$/1yrs | |||
Joshua Morrissey | 0 | D | 100.00 | 76 | 43 | 84 | 85 | 70 | 90 | 97 | 89 | 25 | 79 | 53 | 68 | 25 | 74 | 76 | 71 | 50 | 0 | 28 | 6,250,000$/5yrs | |||
Morgan Rielly (A) | 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$/7yrs | |||
Brady Skjei | 0 | D | 100.00 | 73 | 44 | 85 | 83 | 77 | 83 | 98 | 69 | 25 | 69 | 60 | 83 | 25 | 75 | 78 | 72 | 50 | 0 | 29 | 5,250,000$/1yrs | |||
Chad Ruhwedel | 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$/1yrs | |||
Carson Soucy | 0 | D | 100.00 | 81 | 45 | 90 | 74 | 79 | 72 | 76 | 65 | 25 | 49 | 48 | 87 | 25 | 68 | 70 | 64 | 50 | 0 | 29 | 3,250,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Justin Danforth | 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$/1yrs | |||
Mitchell Stephens | 0 | C | 100.00 | 61 | 41 | 94 | 72 | 69 | 53 | 86 | 65 | 79 | 54 | 59 | 74 | 25 | 56 | 56 | 64 | 50 | 0 | 26 | 775,000$/1yrs | |||
Tyson Jost | 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$/1yrs | |||
Haydn Fleury | 0 | D | 100.00 | 78 | 44 | 77 | 76 | 77 | 69 | 52 | 64 | 25 | 52 | 48 | 82 | 75 | 64 | 65 | 62 | 50 | 0 | 27 | 762,500$/1yrs | |||
TEAM AVERAGE | 99.91 | 77 | 51 | 85 | 80 | 74 | 72 | 86 | 75 | 50 | 68 | 67 | 76 | 42 | 70 | 70 | 72 | 50 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Nedeljkovic | 0 | 99.00 | 64 | 69 | 68 | 70 | 65 | 63 | 70 | 65 | 69 | 64 | 75 | 59 | 60 | 66 | 50 | 0 | 27 | 1,500,000$/1yrs |
James Reimer | 0 | 100.00 | 64 | 64 | 65 | 83 | 65 | 62 | 75 | 65 | 73 | 64 | 78 | 71 | 72 | 67 | 50 | 0 | 35 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
Eric Comrie | 0 | 100.00 | 59 | 50 | 50 | 65 | 65 | 52 | 69 | 60 | 65 | 59 | 78 | 50 | 50 | 60 | 50 | 0 | 28 | 1,800,000$/1yrs |
TEAM AVERAGE | 99.67 | 62 | 61 | 61 | 73 | 65 | 59 | 71 | 63 | 69 | 62 | 77 | 60 | 61 | 64 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rafael Harvey-Pinard | 0 | RW | 100.00 | 75 | 43 | 95 | 74 | 64 | 63 | 76 | 65 | 38 | 64 | 56 | 81 | 25 | 54 | 54 | 66 | 54 | 0 | 24 | 1,100,000$/2yrs | |||
Nikita Alexandrov | 0 | C | 100.00 | 78 | 44 | 94 | 71 | 68 | 52 | 65 | 60 | 54 | 59 | 55 | 62 | 25 | 49 | 49 | 61 | 54 | 0 | 23 | 880,000$/1yrs | |||
Cole Koepke | 0 | RW | 100.00 | 77 | 71 | 91 | 63 | 71 | 78 | 82 | 64 | 50 | 59 | 65 | 66 | 62 | 46 | 46 | 67 | 54 | 0 | 25 | 775,000$/1yrs | |||
Alex Steeves | 0 | RW | 100.00 | 73 | 67 | 87 | 66 | 67 | 79 | 83 | 66 | 50 | 62 | 66 | 64 | 63 | 44 | 44 | 67 | 54 | 0 | 23 | 834,167$/1yrs | |||
Jack Studnicka | 0 | C/RW | 100.00 | 81 | 44 | 91 | 80 | 65 | 59 | 70 | 65 | 67 | 50 | 57 | 76 | 25 | 57 | 57 | 64 | 54 | 0 | 24 | 762,500$/1yrs | |||
Jesse Ylonen | 0 | LW/RW | 100.00 | 69 | 43 | 93 | 72 | 74 | 56 | 84 | 71 | 52 | 57 | 58 | 70 | 70 | 56 | 56 | 64 | 54 | 0 | 23 | 775,000$/1yrs | |||
Zach Aston-Reese | 0 | RW | 100.00 | 75 | 74 | 76 | 77 | 74 | 81 | 87 | 61 | 50 | 53 | 60 | 69 | 57 | 66 | 68 | 64 | 54 | 0 | 29 | 775,000$/1yrs | |||
Vinnie Hinostroza | 0 | LW/RW | 100.00 | 71 | 42 | 90 | 81 | 61 | 54 | 63 | 75 | 38 | 62 | 58 | 73 | 75 | 66 | 66 | 65 | 54 | 0 | 29 | 775,000$/1yrs | |||
Liam O'Brien | 0 | LW/RW | 100.00 | 96 | 99 | 44 | 68 | 82 | 54 | 83 | 64 | 32 | 61 | 58 | 65 | 25 | 62 | 62 | 63 | 54 | 0 | 29 | 775,000$/1yrs | |||
Mason Lohrei (R) | 0 | D | 100.00 | 71 | 43 | 86 | 76 | 74 | 70 | 67 | 65 | 25 | 56 | 50 | 73 | 25 | 47 | 47 | 63 | 54 | 0 | 22 | 925,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Magnus Chrona | 0 | 100.00 | 49 | 52 | 65 | 85 | 48 | 49 | 50 | 55 | 49 | 49 | 30 | 44 | 44 | 50 | 54 | 0 | 23 | 867,500$/2yrs | ||||||
Jet Greaves | 0 | 100.00 | 55 | 55 | 69 | 65 | 57 | 58 | 50 | 58 | 55 | 54 | 30 | 44 | 44 | 55 | 54 | 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 |
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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 | Clayton Keller | Predators | 0 | RW | 13 | 4 | 9 | 13 | 1 | 6 | 0 | 18 | 50 | 13 | 24 | 8.00% | 2 | 19.17 | 1 | 2 | 3 | 32 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 20 | 8 | 1 | 0 | 0 | 1.04 | 0 | 1 | |
2 | Robert Thomas | Predators | 0 | C/RW | 13 | 7 | 6 | 13 | 1 | 11 | 5 | 25 | 46 | 10 | 19 | 15.22% | 4 | 20.45 | 0 | 2 | 2 | 31 | 0 | 0 | 0 | 12 | 0 | 0 | 52.65% | 321 | 7 | 4 | 0 | 0 | 0.98 | 1 | 2 | |
3 | Chris Kreider | Predators | 0 | LW | 13 | 3 | 9 | 12 | 1 | 2 | 0 | 19 | 44 | 13 | 25 | 6.82% | 5 | 19.89 | 1 | 2 | 3 | 32 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 12 | 13 | 6 | 0 | 0 | 0.93 | 1 | 3 | |
4 | Moritz Seider | Predators | 0 | D | 13 | 0 | 8 | 8 | -1 | 10 | 0 | 20 | 17 | 11 | 7 | 0.00% | 10 | 22.19 | 0 | 0 | 0 | 24 | 0 | 1 | 1 | 40 | 0 | 0 | 0.00% | 0 | 1 | 9 | 0 | 0 | 0.55 | 0 | 0 | |
5 | Adrian Kempe | Predators | 0 | RW | 13 | 1 | 6 | 7 | -9 | 20 | 0 | 13 | 34 | 8 | 27 | 2.94% | 10 | 15.61 | 0 | 2 | 2 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 12 | 3 | 0 | 0 | 0.69 | 0 | 3 | |
6 | Yanni Gourde | Predators | 0 | C/LW/RW | 13 | 4 | 2 | 6 | 2 | 6 | 0 | 22 | 30 | 8 | 13 | 13.33% | 5 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | 0 | 56.98% | 86 | 8 | 6 | 0 | 0 | 0.63 | 1 | 3 | |
7 | Nicholas Paul | Predators | 0 | C/LW | 13 | 3 | 2 | 5 | -9 | 2 | 0 | 17 | 19 | 14 | 21 | 15.79% | 4 | 17.65 | 1 | 0 | 1 | 28 | 0 | 0 | 0 | 17 | 1 | 2 | 56.34% | 142 | 11 | 3 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Nick Bonino | Predators | 0 | C/LW | 13 | 3 | 0 | 3 | 2 | 0 | 0 | 10 | 12 | 1 | 3 | 25.00% | 5 | 10.65 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 27 | 1 | 0 | 55.56% | 9 | 2 | 1 | 0 | 0 | 0.43 | 0 | 2 | |
9 | Joshua Morrissey | Predators | 0 | D | 13 | 0 | 3 | 3 | -6 | 6 | 0 | 26 | 13 | 7 | 7 | 0.00% | 23 | 25.45 | 0 | 1 | 1 | 36 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 2 | 10 | 0 | 0 | 0.18 | 0 | 0 | |
10 | Morgan Rielly | Predators | 0 | D | 13 | 1 | 2 | 3 | -6 | 2 | 0 | 14 | 13 | 8 | 7 | 7.69% | 11 | 24.15 | 1 | 0 | 1 | 36 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 4 | 11 | 0 | 0 | 0.19 | 0 | 0 | |
11 | Timo Meier | Predators | 0 | RW | 13 | 2 | 1 | 3 | -9 | 2 | 0 | 17 | 26 | 10 | 16 | 7.69% | 4 | 15.35 | 1 | 0 | 1 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 12 | 6 | 5 | 0 | 0 | 0.30 | 0 | 1 | |
12 | Corey Perry | Predators | 0 | RW | 13 | 0 | 2 | 2 | 1 | 2 | 0 | 7 | 17 | 2 | 12 | 0.00% | 2 | 7.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 6 | 2 | 0 | 0 | 0.40 | 0 | 2 | |
13 | Justin Brazeau | Predators | 0 | RW | 13 | 2 | 0 | 2 | 1 | 0 | 0 | 15 | 12 | 2 | 12 | 16.67% | 5 | 11.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 7 | 2 | 3 | 0 | 0 | 0.27 | 0 | 2 | |
14 | Sean Kuraly | Predators | 0 | C/LW | 13 | 0 | 2 | 2 | 2 | 6 | 0 | 22 | 27 | 7 | 16 | 0.00% | 4 | 13.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 60.00% | 5 | 7 | 5 | 0 | 0 | 0.23 | 0 | 0 | |
15 | Chad Ruhwedel | Predators | 0 | D | 13 | 0 | 2 | 2 | 3 | 2 | 0 | 9 | 5 | 1 | 4 | 0.00% | 4 | 14.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 11 | 0 | 0 | 0.22 | 0 | 0 | |
16 | Sam Carrick | Predators | 0 | C/RW | 13 | 1 | 1 | 2 | 3 | 15 | 5 | 12 | 13 | 6 | 9 | 7.69% | 5 | 10.85 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 40 | 0 | 0 | 45.92% | 98 | 2 | 1 | 0 | 0 | 0.28 | 0 | 0 | |
17 | Brady Skjei | Predators | 0 | D | 13 | 0 | 0 | 0 | -3 | 2 | 0 | 8 | 18 | 7 | 4 | 0.00% | 9 | 20.17 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 3 | 7 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Carson Soucy | Predators | 0 | D | 13 | 0 | 0 | 0 | 5 | 0 | 0 | 7 | 5 | 5 | 6 | 0.00% | 12 | 15.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 234 | 31 | 55 | 86 | -21 | 94 | 10 | 281 | 401 | 133 | 232 | 7.73% | 124 | 16.58 | 5 | 9 | 14 | 305 | 1 | 2 | 3 | 320 | 5 | 2 | 51.66% | 722 | 95 | 91 | 0 | 0 | 0.44 | 3 | 19 |
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 | Predators | 10 | 4 | 4 | 2 | 0.923 | 2.26 | 611 | 0 | 2 | 23 | 297 | 174 | 2 | 2 | 0.722 | 18 | 10 | 3 | 2 | 2 | 0 |
2 | Alex Nedeljkovic | Predators | 3 | 2 | 0 | 1 | 0.935 | 1.95 | 185 | 0 | 0 | 6 | 92 | 55 | 0 | 0 | 0.000 | 2 | 3 | 10 | 2 | 0 | 0 |
Team Total or Average | 13 | 6 | 4 | 3 | 0.925 | 2.19 | 796 | 0 | 2 | 29 | 389 | 229 | 2 | 2 | 0.650 | 20 | 13 | 13 | 4 | 2 | 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 |
# | 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 | Bruins | 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 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 22 | 13 | 22 | 9 | 19 | 9 | 54.5% | 17.6% | 83.9% | 101.5 | FUN |
2 | Red Wings | 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 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 49 | 28 | 42 | 19 | 38 | 19 | 33.3% | 11.1% | 87.5% | 98.6 | FUN |
3 | Lightning | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 7 | 13 | 9 | 0 | 35 | 12 | 6 | 23 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 12 | 21 | 8 | 16 | 8 | 50.0% | 6.9% | 97.1% | 104.0 | DULL |
4 | Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 1 | 0 | 2 | 1 | 2 | 0 | 39 | 13 | 15 | 11 | 0 | 35 | 7 | 9 | 20 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 23 | 14 | 19 | 8 | 17 | 9 | 40.0% | 12.8% | 80.0% | 92.8 | FUN |
5 | Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 25 | 9 | 4 | 12 | 0 | 27 | 9 | 2 | 29 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 20 | 10 | 20 | 9 | 19 | 10 | 66.7% | 8.0% | 96.3% | 104.3 | DULL |
6 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 37 | 12 | 16 | 9 | 0 | 22 | 6 | 10 | 26 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 23 | 14 | 19 | 9 | 17 | 8 | 100.0% | 5.4% | 100.0% | 105.4 | DULL |
7 | Oilers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 1 | 1 | 2 | 0 | 60 | 20 | 19 | 21 | 0 | 45 | 17 | 25 | 42 | 7 | 1 | 14.29% | 10 | 0 | 100.00% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 44 | 24 | 37 | 18 | 37 | 18 | 50.0% | 6.7% | 93.3% | 100.0 | DULL |
8 | Blue Jackets | 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 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 3.6% | 91.9% | 95.5 | DULL |
9 | Kings | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 32 | 12 | 9 | 9 | 4 | 33 | 14 | 6 | 23 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 23 | 13 | 23 | 9 | 18 | 9 | 33.3% | 3.1% | 93.9% | 97.1 | DULL |
10 | Blackhawks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 9 | 11 | 10 | 0 | 32 | 6 | 8 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 13 | 21 | 9 | 16 | 7 | 66.7% | 6.7% | 96.9% | 103.5 | DULL |
11 | Kraken | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 12 | 16 | 5 | 0 | 30 | 11 | 8 | 14 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 12 | 20 | 9 | 17 | 9 | 25.0% | 3.0% | 90.0% | 93.0 | Unlucky |
_Vs Division | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 15 | 24 | 1 | 1 | 3 | 2 | 4 | 0 | 106 | 34 | 42 | 30 | 0 | 89 | 19 | 27 | 69 | 8 | 1 | 12.50% | 11 | 1 | 90.91% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 68 | 41 | 59 | 27 | 51 | 24 | 53.3% | 8.5% | 91.0% | 99.5 | Unlucky | |
_Vs Conference | 7 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 15 | 16 | -1 | 7 | 0.500 | 15 | 26 | 41 | 1 | 2 | 4 | 4 | 7 | 0 | 231 | 78 | 86 | 65 | 4 | 197 | 61 | 66 | 148 | 21 | 2 | 9.52% | 28 | 1 | 96.43% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 159 | 92 | 140 | 65 | 125 | 61 | 46.4% | 6.5% | 91.9% | 98.4 | DULL | |
_Since Last GM Reset | 13 | 5 | 4 | 0 | 0 | 0 | 1 | 3 | 32 | 34 | -2 | 15 | 0.577 | 32 | 55 | 87 | 2 | 2 | 9 | 10 | 12 | 3 | 401 | 129 | 144 | 126 | 21 | 391 | 124 | 94 | 281 | 36 | 5 | 13.89% | 42 | 1 | 97.62% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 295 | 170 | 267 | 120 | 237 | 118 | 45.0% | 8.0% | 91.3% | 99.3 | DULL | |
Total | 13 | 5 | 4 | 0 | 0 | 0 | 1 | 3 | 32 | 34 | -2 | 15 | 0.577 | 32 | 55 | 87 | 2 | 2 | 9 | 10 | 12 | 3 | 401 | 129 | 144 | 126 | 21 | 391 | 124 | 94 | 281 | 36 | 5 | 13.89% | 42 | 1 | 97.62% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 295 | 170 | 267 | 120 | 237 | 118 | 45.0% | 8.0% | 91.3% | 99.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 283 |
Neutral Zone Start | 168 |
Defensive Zone Start | 263 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 373 |
Faceoffs Lost | 341 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 24 |
---|---|
PP Goal | 5 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 4 | 0 |
Overtime Lost | 2 | 1 |
PP Attempt | 36 |
---|---|
PP Goal | 5 |
PK Attempt | 42 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 30.8 |
Shots Against | 30.1 |
Goals For | 2.5 |
Goals Against | 2.6 |
Hits | 21.6 |
Shots Blocked | 9.5 |
Pim | 7.2 |
Projected Total Cap Hit | 83,317,499$ |
Projected Cap Space | 182,501$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 14,453,026$ |
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$ | |||||||
Chris Kreider | LW | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||||
Clayton Keller | RW | 25 | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | |||
Corey Perry | RW | 38 | 775,000$ | 775,000$ | |||||||
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$ | |||||||
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$ | |||||||
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$ |
Forward Lines | |||||||
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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 | Bruins | 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 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 22 | 13 | 22 | 9 | 19 | 9 | 54.5% | 17.6% | 83.9% | 101.5 | FUN |
2 | Red Wings | 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 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 49 | 28 | 42 | 19 | 38 | 19 | 33.3% | 11.1% | 87.5% | 98.6 | FUN |
3 | Lightning | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 7 | 13 | 9 | 0 | 35 | 12 | 6 | 23 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 12 | 21 | 8 | 16 | 8 | 50.0% | 6.9% | 97.1% | 104.0 | DULL |
4 | Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 1 | 0 | 2 | 1 | 2 | 0 | 39 | 13 | 15 | 11 | 0 | 35 | 7 | 9 | 20 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 23 | 14 | 19 | 8 | 17 | 9 | 40.0% | 12.8% | 80.0% | 92.8 | FUN |
5 | Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 25 | 9 | 4 | 12 | 0 | 27 | 9 | 2 | 29 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 20 | 10 | 20 | 9 | 19 | 10 | 66.7% | 8.0% | 96.3% | 104.3 | DULL |
6 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 37 | 12 | 16 | 9 | 0 | 22 | 6 | 10 | 26 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 23 | 14 | 19 | 9 | 17 | 8 | 100.0% | 5.4% | 100.0% | 105.4 | DULL |
7 | Oilers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 1 | 1 | 2 | 0 | 60 | 20 | 19 | 21 | 0 | 45 | 17 | 25 | 42 | 7 | 1 | 14.29% | 10 | 0 | 100.00% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 44 | 24 | 37 | 18 | 37 | 18 | 50.0% | 6.7% | 93.3% | 100.0 | DULL |
8 | Blue Jackets | 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 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 3.6% | 91.9% | 95.5 | DULL |
9 | Kings | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 32 | 12 | 9 | 9 | 4 | 33 | 14 | 6 | 23 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 23 | 13 | 23 | 9 | 18 | 9 | 33.3% | 3.1% | 93.9% | 97.1 | DULL |
10 | Blackhawks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 9 | 11 | 10 | 0 | 32 | 6 | 8 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 13 | 21 | 9 | 16 | 7 | 66.7% | 6.7% | 96.9% | 103.5 | DULL |
11 | Kraken | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 12 | 16 | 5 | 0 | 30 | 11 | 8 | 14 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 21 | 12 | 20 | 9 | 17 | 9 | 25.0% | 3.0% | 90.0% | 93.0 | Unlucky |
_Vs Division | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 15 | 24 | 1 | 1 | 3 | 2 | 4 | 0 | 106 | 34 | 42 | 30 | 0 | 89 | 19 | 27 | 69 | 8 | 1 | 12.50% | 11 | 1 | 90.91% | 0 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 68 | 41 | 59 | 27 | 51 | 24 | 53.3% | 8.5% | 91.0% | 99.5 | Unlucky | |
_Vs Conference | 7 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 15 | 16 | -1 | 7 | 0.500 | 15 | 26 | 41 | 1 | 2 | 4 | 4 | 7 | 0 | 231 | 78 | 86 | 65 | 4 | 197 | 61 | 66 | 148 | 21 | 2 | 9.52% | 28 | 1 | 96.43% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 159 | 92 | 140 | 65 | 125 | 61 | 46.4% | 6.5% | 91.9% | 98.4 | DULL | |
_Since Last GM Reset | 13 | 5 | 4 | 0 | 0 | 0 | 1 | 3 | 32 | 34 | -2 | 15 | 0.577 | 32 | 55 | 87 | 2 | 2 | 9 | 10 | 12 | 3 | 401 | 129 | 144 | 126 | 21 | 391 | 124 | 94 | 281 | 36 | 5 | 13.89% | 42 | 1 | 97.62% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 295 | 170 | 267 | 120 | 237 | 118 | 45.0% | 8.0% | 91.3% | 99.3 | DULL | |
Total | 13 | 5 | 4 | 0 | 0 | 0 | 1 | 3 | 32 | 34 | -2 | 15 | 0.577 | 32 | 55 | 87 | 2 | 2 | 9 | 10 | 12 | 3 | 401 | 129 | 144 | 126 | 21 | 391 | 124 | 94 | 281 | 36 | 5 | 13.89% | 42 | 1 | 97.62% | 1 | 154 | 283 | 54.42% | 134 | 263 | 50.95% | 85 | 168 | 50.60% | 295 | 170 | 267 | 120 | 237 | 118 | 45.0% | 8.0% | 91.3% | 99.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 283 |
Neutral Zone Start | 168 |
Defensive Zone Start | 263 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 373 |
Faceoffs Lost | 341 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 24 |
---|---|
PP Goal | 5 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 4 | 0 |
Overtime Lost | 2 | 1 |
PP Attempt | 36 |
---|---|
PP Goal | 5 |
PK Attempt | 42 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 30.8 |
Shots Against | 30.1 |
Goals For | 2.5 |
Goals Against | 2.6 |
Hits | 21.6 |
Shots Blocked | 9.5 |
Pim | 7.2 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,317,499$ | 0$ | 83,317,499$ | 182,501$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Bridgestone Arena | ||
City | Nashville | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 120$ | 80$ | 50$ | 35$ | 300$ |
Attendance | 36542 | 26753 | 10358 | 21054 | 4918 |
Attendance PCT | 67.67% | 59.45% | 57.54% | 58.48% | 54.64% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 11069 - 61.50% | 524,477$ | 4,720,290$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,317,499$ | 83,317,499$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
14,453,026$ | 83,317,499$ | 14,453,026$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
16,783,253$ | 162 | 425,089$ | 68,864,418$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
76,402,546$ | 83,317,499$ | -603,695,971$ | -663,315,264$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
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 | Predators | ||||
Aatos Koivu | Predators | 2024 | 66 | ||
Alex Jefferies | Predators | 2020 | 128 | ||
Amir Miftakhov | Predators | 2020 | 190 | ||
Andre Gasseau | Predators | 2021 | 208 | ||
Andrei Loshko | Predators | 2023 | 116 | ||
Ben King | Predators | 2022 | 81 | ||
Brett Hyland | Predators | 2023 | 180 | ||
Brian Elliott | Predators | Link | |||
Charlie Forslund | Predators | 2024 | 194 | ||
Chase Clark | Predators | 2021 | 176 | ||
Christian Wolanin | Predators | Link | |||
Clark Bishop | Predators | Link | |||
Colten Ellis | Predators | 2019 | 70 | ||
Corey Tropp | Predators | ||||
Curtis Hall | Predators | 2018 | 127 | ||
Danila Klimovich | Predators | 2021 | 48 | ||
Daylan Kuefler | Predators | 2022 | 176 | ||
Denver Barkey | Predators | 2023 | 79 | ||
Dmitry Gamzin | Predators | 2024 | 98 | ||
Ethan Phillips | Predators | 2019 | 101 | ||
Fedor Svechkov | Predators | 2021 | 16 | ||
Gavin White | Predators | 2022 | 112 | ||
Gracyn Sawchyn | Predators | 2023 | 52 | ||
Ivan Demidov | Predators | 2024 | 2 | ||
Ivan Zhigalov | Predators | 2022 | 208 | ||
Jack Bar | Predators | 2021 | 80 | ||
Jared Davidson | Predators | 2022 | 144 | ||
Jesse Kiiskinen | Predators | 2023 | 84 | ||
Joona Saarelainen | Predators | 2024 | 162 | ||
Jordan Dumais | Predators | 2022 | 80 | ||
Lane Pederson | Predators | Link | |||
Logan Brown | Predators | Link | |||
Luca Cagnoni | Predators | 2023 | 93 | ||
Marek Vanacker | Predators | 2024 | 34 | ||
Mark Borowiecki | Predators | Link | |||
Matvey Petrov | Predators | 2021 | 144 | ||
Matyas Sapovaliv | Predators | 2022 | 48 | ||
Maxim Groshev | Predators | 2020 | 97 | ||
Maxime Lagace | Predators | Link | |||
Philippe Daoust | Predators | 2020 | 159 | ||
Ryan Dzingel | Predators | Link | |||
Slater Koekkoek | Predators | Link | |||
Talyn Boyko | Predators | 2021 | 79 | ||
Tomas Mrsic | Predators | 2024 | 130 | ||
Victor Stjernborg | Predators | 2021 | 112 | ||
Will Bitten | Predators | Link | |||
Zaccharya Wisdom | Predators | 2023 | 212 |
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