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Full Scoreboard »» |
Nashville Predators 28-29-10, 66pts · 10th in Western |
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 | 97.00 | 76 | 37 | 89 | 84 | 81 | 86 | 90 | 79 | 86 | 81 | 80 | 94 | 80 | 84 | 98 | 0 | 29 | 93 | 33 | 8,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 33 | 88 | 76 | 76 | 85 | 85 | 76 | 83 | 76 | 80 | 76 | 78 | 81 | 90 | 0 | 67 | 86 | 33 | 5,825,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 33 | 94 | 80 | 82 | 81 | 90 | 76 | 61 | 80 | 76 | 72 | 76 | 69 | 68 | 0 | 48 | 86 | 25 | 5,000,000$/6yrs | |||
![]() | 0 | C | 100.00 | 69 | 36 | 75 | 77 | 87 | 82 | 89 | 76 | 89 | 79 | 79 | 68 | 78 | 77 | 85 | 0 | 19 | 86 | 30 | 8,000,000$/3yrs | |||
![]() | 0 | C/RW | 99.00 | 66 | 33 | 87 | 77 | 80 | 82 | 90 | 77 | 87 | 81 | 75 | 71 | 76 | 78 | 89 | 0 | 29 | 86 | 31 | 9,850,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 32 | 88 | 80 | 70 | 83 | 87 | 79 | 60 | 81 | 78 | 64 | 79 | 75 | 74 | 0 | 70 | 86 | 29 | 4,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 33 | 94 | 80 | 78 | 72 | 84 | 78 | 59 | 76 | 83 | 61 | 80 | 69 | 68 | 0 | 42 | 85 | 26 | 900,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 32 | 93 | 77 | 69 | 84 | 90 | 76 | 59 | 77 | 77 | 69 | 77 | 72 | 71 | 0 | 55 | 85 | 27 | 4,750,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 99 | 33 | 90 | 59 | 81 | 78 | 83 | 65 | 62 | 66 | 66 | 84 | 65 | 85 | 98 | 0 | 30 | 82 | 35 | 1,750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 37 | 80 | 69 | 88 | 80 | 83 | 70 | 72 | 73 | 70 | 77 | 70 | 74 | 72 | 0 | 44 | 82 | 28 | 2,750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 74 | 38 | 69 | 60 | 83 | 79 | 76 | 63 | 62 | 64 | 68 | 73 | 66 | 88 | 99 | 0 | 41 | 78 | 37 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 35 | 87 | 70 | 52 | 71 | 73 | 68 | 63 | 69 | 71 | 64 | 70 | 65 | 64 | 0 | 44 | 77 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 35 | 76 | 74 | 81 | 92 | 90 | 71 | 30 | 76 | 68 | 82 | 70 | 73 | 71 | 0 | 33 | 86 | 28 | 4,166,666$/7yrs | |||
![]() | 0 | D | 99.00 | 75 | 38 | 68 | 67 | 87 | 86 | 90 | 71 | 30 | 70 | 62 | 91 | 66 | 83 | 80 | 0 | 35 | 86 | 34 | 2,900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 89 | 48 | 60 | 61 | 87 | 86 | 84 | 67 | 30 | 68 | 66 | 85 | 66 | 78 | 74 | 0 | 45 | 83 | 31 | 4,800,000$/5yrs | |||
![]() | 0 | D | 99.00 | 74 | 33 | 92 | 68 | 80 | 85 | 90 | 67 | 30 | 69 | 71 | 83 | 69 | 72 | 72 | 0 | 38 | 83 | 28 | 3,150,000$/2yrs | |||
![]() | 0 | D | 100.00 | 86 | 47 | 71 | 62 | 73 | 86 | 90 | 67 | 30 | 73 | 66 | 78 | 66 | 72 | 69 | 0 | 47 | 82 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 32 | 79 | 70 | 75 | 81 | 73 | 66 | 30 | 71 | 58 | 76 | 62 | 72 | 70 | 0 | 29 | 81 | 28 | 2,700,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.67 | 72 | 36 | 82 | 72 | 78 | 82 | 85 | 72 | 57 | 74 | 72 | 76 | 72 | 76 | 78 | 0 | 41 | 84 |
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 | 99.00 | 94 | 88 | 78 | 96 | 92 | 84 | 91 | 91 | 88 | 92 | 91 | 81 | 86 | 0 | 22 | 92 | 33 | 5,500,000$/3yrs |
![]() | 0 | 98.00 | 90 | 95 | 84 | 71 | 85 | 80 | 87 | 91 | 86 | 89 | 87 | 75 | 79 | 0 | 16 | 89 | 29 | 5,000,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 92 | 92 | 81 | 84 | 89 | 82 | 89 | 91 | 87 | 91 | 89 | 78 | 83 | 0 | 19 | 91 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 79 | 80 | 93 | 94 | 79 | 73 | 80 | CAN | 52 | 2 | 1,000,000$ |
General Manager | Dominic Dubé |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Viktor Arvidsson | 0 | LW/RW | 68 | 22 | 31 | 53 | 12 | 25 | 5 | 45 | 192 | 54 | 147 | 11.46% | 7 | 19.60 | 7 | 7 | 14 | 199 | 0 | 0 | 0 | 27 | 2 | 3 | 37.39% | 115 | 0 | 0 | 0 | 1 | 0.80 | 2 | 2 | |
2 | Logan Couture | 0 | C | 67 | 13 | 31 | 44 | 0 | 14 | 0 | 70 | 194 | 69 | 166 | 6.70% | 29 | 20.42 | 2 | 5 | 7 | 181 | 0 | 0 | 0 | 128 | 2 | 2 | 52.09% | 1720 | 0 | 0 | 0 | 0 | 0.64 | 1 | 2 | |
3 | Ryan Johansen | 0 | C | 67 | 20 | 23 | 43 | -8 | 57 | 15 | 83 | 185 | 42 | 110 | 10.81% | 8 | 18.02 | 2 | 13 | 15 | 180 | 0 | 0 | 0 | 0 | 0 | 0 | 54.67% | 1456 | 0 | 0 | 0 | 0 | 0.71 | 0 | 1 | |
4 | Oliver Bjorkstrand | 0 | LW/RW | 71 | 16 | 18 | 34 | 18 | 14 | 0 | 40 | 152 | 49 | 119 | 10.53% | 10 | 15.89 | 1 | 1 | 2 | 44 | 0 | 0 | 0 | 0 | 2 | 1 | 38.89% | 90 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
5 | Tyler Seguin | 0 | C/RW | 65 | 16 | 17 | 33 | 4 | 12 | 0 | 55 | 112 | 25 | 75 | 14.29% | 14 | 19.53 | 1 | 4 | 5 | 162 | 1 | 0 | 1 | 47 | 1 | 1 | 50.21% | 946 | 0 | 0 | 0 | 1 | 0.52 | 1 | 1 | |
6 | Damon Severson | 0 | D | 66 | 5 | 26 | 31 | -21 | 28 | 0 | 77 | 88 | 27 | 57 | 5.68% | 74 | 20.86 | 1 | 11 | 12 | 186 | 0 | 0 | 0 | 90 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
7 | Adam Henrique | 0 | C/LW | 68 | 12 | 17 | 29 | 7 | 12 | 0 | 30 | 148 | 36 | 101 | 8.11% | 8 | 13.61 | 2 | 7 | 9 | 143 | 0 | 0 | 0 | 92 | 6 | 0 | 55.24% | 572 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
8 | Ian Cole | 0 | D | 67 | 3 | 24 | 27 | 4 | 40 | 0 | 147 | 64 | 21 | 36 | 4.69% | 92 | 21.01 | 1 | 4 | 5 | 113 | 0 | 2 | 2 | 192 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
9 | Matt Roy | 0 | D | 67 | 8 | 19 | 27 | 2 | 44 | 0 | 109 | 69 | 28 | 43 | 11.59% | 67 | 19.79 | 7 | 4 | 11 | 132 | 0 | 0 | 0 | 143 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
10 | Josh Manson | 0 | D | 67 | 7 | 17 | 24 | 5 | 125 | 15 | 210 | 41 | 18 | 35 | 17.07% | 65 | 19.62 | 4 | 1 | 5 | 97 | 0 | 0 | 0 | 114 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
11 | Pavel Zacha | 0 | C/LW | 68 | 5 | 15 | 20 | -19 | 20 | 0 | 70 | 121 | 28 | 96 | 4.13% | 10 | 15.00 | 1 | 4 | 5 | 129 | 0 | 0 | 0 | 8 | 1 | 0 | 53.82% | 327 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
12 | Daniel Sprong | 0 | LW/RW | 68 | 8 | 11 | 19 | -8 | 6 | 0 | 22 | 100 | 32 | 93 | 8.00% | 3 | 14.18 | 1 | 2 | 3 | 100 | 0 | 0 | 0 | 45 | 0 | 0 | 44.44% | 63 | 0 | 0 | 0 | 0 | 0.39 | 0 | 1 | |
13 | Sean Walker | 0 | D | 56 | 1 | 15 | 16 | -8 | 40 | 0 | 105 | 31 | 15 | 26 | 3.23% | 54 | 18.94 | 0 | 2 | 2 | 122 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.30 | 0 | 0 | |
14 | Connor Clifton | 0 | D | 53 | 3 | 12 | 15 | 1 | 81 | 5 | 128 | 37 | 10 | 22 | 8.11% | 68 | 18.00 | 2 | 0 | 2 | 68 | 0 | 1 | 1 | 105 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
15 | Oskar Sundqvist | 0 | C/RW | 68 | 5 | 6 | 11 | -5 | 4 | 0 | 7 | 67 | 17 | 43 | 7.46% | 7 | 7.95 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 1 | 0 | 42.24% | 116 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
16 | Cal Clutterbuck | 0 | RW | 68 | 6 | 3 | 9 | 1 | 22 | 0 | 50 | 36 | 10 | 19 | 16.67% | 8 | 7.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 1 | 0 | 47.50% | 40 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
17 | Matthew Phillips | 0 | C/LW | 47 | 1 | 3 | 4 | -1 | 2 | 0 | 11 | 17 | 8 | 15 | 5.88% | 1 | 7.47 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 30.30% | 33 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
18 | Andrew Ladd | 0 | LW | 9 | 0 | 0 | 0 | -3 | 0 | 0 | 10 | 5 | 1 | 7 | 0.00% | 1 | 8.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1110 | 151 | 288 | 439 | -19 | 546 | 40 | 1269 | 1659 | 490 | 1210 | 9.10% | 526 | 16.35 | 32 | 65 | 97 | 1866 | 1 | 3 | 4 | 1166 | 24 | 8 | 51.90% | 5484 | 0 | 0 | 1 | 2 | 0.48 | 4 | 7 |
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 | Jordan Binnington | 42 | 19 | 15 | 7 | 0.909 | 2.65 | 2515 | 2 | 3 | 111 | 1223 | 0 | 0 | 0 | 0.556 | 9 | 42 | 27 | 6 | 3 | 2 | |
2 | Frederik Andersen | 41 | 18 | 19 | 3 | 0.913 | 2.80 | 2292 | 4 | 1 | 107 | 1230 | 0 | 1 | 0 | 1.000 | 3 | 39 | 25 | 5 | 2 | 2 | |
Team Total or Average | 83 | 37 | 34 | 10 | 0.911 | 2.72 | 4807 | 6 | 4 | 218 | 2453 | 0 | 1 | 0 | 0.667 | 12 | 81 | 52 | 11 | 5 | 4 |
Projected Total Cap Hit | 78,989,488$ |
Projected Cap Space | 3,510,512$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 68,197,831$ |
Players In Salary Cap | 18 |
LTIR Players | 2 |
Predators Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Henrique | C/LW | 33 | 5,825,000$ | 5,825,000$ | 5,825,000$ | UFA | |||||
Andrew Ladd ![]() ![]() | LW | 37 | 750,000$ | 750,000$ | UFA | ||||||
Cal Clutterbuck | RW | 35 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Connor Clifton ![]() | D | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Damon Severson | D | 28 | 4,166,666$ | 4,166,666$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA |
Daniel Sprong ![]() | LW/RW | 26 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Frederik Andersen ![]() | G | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Ian Cole | D | 34 | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | |||||
Jordan Binnington | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Josh Manson | D | 31 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | ||
Logan Couture | C | 33 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Matt Roy | D | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||||
Matthew Phillips ![]() | C/LW | 24 | 750,000$ | 750,000$ | |||||||
Oliver Bjorkstrand | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||
Oskar Sundqvist | C/RW | 28 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Pavel Zacha | C/LW | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Ryan Johansen | C | 30 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Sean Walker | D | 28 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Tyler Seguin | C/RW | 31 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | UFA | ||
Viktor Arvidsson | LW/RW | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer ![]() | C | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Anton Blidh ![]() | LW/RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Brett Ritchie ![]() | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Chase DeLeo ![]() | C | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Chris Terry ![]() | LW/RW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Cole Clayton ![]() | D | 23 | 750,000$ | 750,000$ | 750,000$ | RFA | |||||
Daniel Walcott ![]() | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Eduards Tralmaks ![]() | C/LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Eric Comrie ![]() ![]() | G | 27 | 900,000$ | 900,000$ | ![]() | ||||||
Gabriel Dumont ![]() ![]() | C | 32 | 825,000$ | 825,000$ | UFA | ||||||
Hunter Skinner ![]() ![]() | D | 21 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Jacob MacDonald ![]() | D | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Jakub Galvas ![]() | D | 23 | 867,500$ | 867,500$ | RFA | ||||||
Jansen Harkins ![]() ![]() | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Joey Keane ![]() | D | 23 | 850,000$ | 850,000$ | RFA | ||||||
Joseph Blandisi ![]() | LW/RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Josh Dunne ![]() | C | 24 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Justin Ducharme ![]() | LW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Lukas Parik ![]() | G | 22 | 750,000$ | 750,000$ | RFA | ||||||
Mathias Emilio Pettersen ![]() | LW | 22 | 903,333$ | 903,333$ | RFA | ||||||
Maxence Guenette ![]() ![]() | D | 21 | 750,000$ | 750,000$ | RFA | ||||||
Nick Cousins ![]() | C/LW/RW | 29 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Nikolas Brouillard ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Pavel Cajan ![]() | G | 20 | 750,000$ | 750,000$ | RFA | ||||||
Pierre-Cedric Labrie ![]() | LW | 36 | 825,000$ | 825,000$ | UFA | ||||||
Pierrick Dube ![]() | RW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Remi Elie ![]() | LW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Samuel Harvey ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Xavier Ouellet ![]() ![]() | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Yanni Kaldis ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Zane McIntyre ![]() ![]() | G | 30 | 800,000$ | 800,000$ | UFA |
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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 |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 39 | 14 | 20 | 5 | 0 | 64 | 17 | 21 | 44 | 8 | 1 | 12.50% | 8 | 1 | 87.50% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 44 | 30 | 49 | 15 | 25 | 12 | 62.5% | 15.4% | 93.8% | 109.1 | LUCKY | |
2 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 62 | 28 | 17 | 17 | 0 | 58 | 19 | 14 | 51 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 48 | 32 | 47 | 14 | 26 | 13 | 28.6% | 4.8% | 87.9% | 92.8 | Unlucky | |
3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 1 | 2 | 4 | 1 | 59 | 21 | 10 | 25 | 3 | 66 | 21 | 14 | 40 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 46 | 30 | 49 | 15 | 25 | 12 | 70.0% | 13.6% | 92.4% | 106.0 | LUCKY | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 4 | 1.000 | 7 | 14 | 21 | 0 | 2 | 1 | 4 | 2 | 0 | 68 | 21 | 25 | 22 | 0 | 61 | 17 | 25 | 36 | 6 | 1 | 16.67% | 10 | 0 | 100.00% | 1 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 47 | 33 | 47 | 15 | 25 | 12 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 3 | 5 | 1 | 0 | 60 | 17 | 30 | 13 | 0 | 61 | 27 | 14 | 33 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 47 | 34 | 49 | 12 | 23 | 12 | 57.1% | 15.0% | 88.5% | 103.5 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 32 | 10 | 15 | 7 | 0 | 25 | 1 | 16 | 23 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 24 | 17 | 21 | 8 | 13 | 7 | 100.0% | 3.1% | 100.0% | 103.1 | DULL | |
7 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 7 | 11 | -4 | 3 | 0.375 | 7 | 11 | 18 | 0 | 0 | 2 | 1 | 3 | 1 | 110 | 38 | 35 | 31 | 8 | 104 | 36 | 25 | 89 | 11 | 1 | 9.09% | 12 | 2 | 83.33% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 101 | 70 | 94 | 29 | 49 | 25 | 40.0% | 6.4% | 89.4% | 95.8 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 37 | 16 | 12 | 9 | 0 | 25 | 7 | 12 | 20 | 4 | 2 | 50.00% | 6 | 0 | 100.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 23 | 16 | 24 | 7 | 11 | 5 | 66.7% | 10.8% | 96.0% | 106.8 | LUCKY | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 42 | 21 | 11 | 10 | 0 | 57 | 23 | 10 | 40 | 9 | 3 | 33.33% | 5 | 0 | 100.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 48 | 33 | 45 | 14 | 26 | 12 | 0.0% | 7.1% | 86.0% | 93.1 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 44 | 12 | 14 | 18 | 0 | 60 | 23 | 20 | 37 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 43 | 27 | 51 | 16 | 25 | 11 | 66.7% | 6.8% | 95.0% | 101.8 | DULL | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 55 | 19 | 17 | 19 | 0 | 63 | 16 | 10 | 45 | 4 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 44 | 29 | 49 | 13 | 26 | 13 | 71.4% | 9.1% | 92.1% | 101.2 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 70 | 22 | 25 | 23 | 0 | 69 | 24 | 16 | 54 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 44 | 30 | 49 | 15 | 25 | 12 | 37.5% | 5.7% | 89.9% | 95.6 | Unlucky | |
13 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.333 | 4 | 8 | 12 | 0 | 1 | 0 | 1 | 3 | 0 | 71 | 18 | 23 | 30 | 0 | 100 | 26 | 39 | 59 | 7 | 0 | 0.00% | 17 | 3 | 82.35% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 66 | 45 | 75 | 22 | 38 | 18 | 44.4% | 5.6% | 92.0% | 97.6 | DULL | |
14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 16 | -3 | 2 | 0.333 | 13 | 25 | 38 | 0 | 0 | 5 | 7 | 1 | 0 | 96 | 36 | 35 | 25 | 0 | 99 | 25 | 26 | 72 | 12 | 6 | 50.00% | 12 | 5 | 58.33% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 66 | 45 | 73 | 21 | 39 | 18 | 38.9% | 13.5% | 83.8% | 97.4 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 61 | 17 | 25 | 19 | 0 | 61 | 16 | 20 | 50 | 2 | 1 | 50.00% | 9 | 2 | 77.78% | 1 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 46 | 32 | 48 | 14 | 25 | 12 | 55.6% | 9.8% | 90.2% | 100.0 | FUN | |
16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 14 | 22 | 0 | 1 | 4 | 0 | 4 | 0 | 84 | 32 | 24 | 28 | 0 | 90 | 27 | 22 | 76 | 12 | 2 | 16.67% | 5 | 0 | 100.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 74 | 53 | 70 | 21 | 35 | 18 | 50.0% | 9.5% | 93.3% | 102.9 | LUCKY | |
17 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 15 | 23 | 0 | 0 | 3 | 3 | 1 | 1 | 105 | 41 | 26 | 36 | 2 | 104 | 23 | 18 | 88 | 9 | 2 | 22.22% | 8 | 1 | 87.50% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 71 | 49 | 71 | 20 | 37 | 19 | 50.0% | 7.6% | 93.3% | 100.9 | DULL | |
18 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0.250 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 95 | 41 | 36 | 18 | 0 | 139 | 41 | 43 | 94 | 14 | 2 | 14.29% | 17 | 5 | 70.59% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 87 | 59 | 101 | 30 | 51 | 24 | 33.3% | 4.2% | 93.5% | 97.7 | DULL | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 19 | 11 | 3 | 5 | 0 | 37 | 8 | 12 | 19 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 16 | 10 | 32 | 7 | 11 | 5 | 50.0% | 5.3% | 94.6% | 99.9 | DULL | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 4 | 7 | 11 | 0 | 26 | 10 | 10 | 16 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 21 | 12 | 24 | 8 | 14 | 6 | 20.0% | 4.5% | 84.6% | 89.2 | Unlucky | |
21 | 3 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 1 | 2 | 2 | 1 | 93 | 26 | 27 | 33 | 10 | 87 | 28 | 24 | 61 | 13 | 1 | 7.69% | 12 | 0 | 100.00% | 1 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 71 | 48 | 78 | 24 | 40 | 19 | 41.7% | 6.5% | 92.0% | 98.4 | DULL | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 0 | 4 | 1 | 0 | 65 | 18 | 21 | 21 | 8 | 62 | 22 | 14 | 37 | 11 | 1 | 9.09% | 7 | 2 | 71.43% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 52 | 36 | 46 | 14 | 26 | 13 | 44.4% | 7.7% | 88.7% | 96.4 | Unlucky | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 50 | 10 | 18 | 22 | 0 | 57 | 17 | 23 | 38 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 46 | 31 | 47 | 15 | 26 | 13 | 40.0% | 6.0% | 91.2% | 97.2 | DULL | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 2 | 0 | 65 | 25 | 25 | 15 | 0 | 61 | 16 | 21 | 35 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 45 | 32 | 47 | 14 | 26 | 12 | 42.9% | 12.3% | 85.2% | 97.6 | FUN | |
25 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 12 | -8 | 1 | 0.167 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 0 | 69 | 28 | 16 | 25 | 3 | 89 | 29 | 18 | 52 | 8 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 71 | 48 | 72 | 23 | 40 | 19 | 28.6% | 5.8% | 86.5% | 92.3 | Unlucky | |
26 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 7 | 6 | 5 | 0.833 | 13 | 24 | 37 | 0 | 0 | 2 | 5 | 6 | 1 | 83 | 17 | 31 | 32 | 5 | 74 | 19 | 41 | 67 | 6 | 3 | 50.00% | 13 | 1 | 92.31% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 74 | 51 | 68 | 22 | 42 | 21 | 62.5% | 15.7% | 90.5% | 106.2 | FUN | |
27 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 7 | 5 | 12 | 0 | 32 | 9 | 4 | 22 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 22 | 14 | 23 | 7 | 15 | 7 | 33.3% | 8.3% | 90.6% | 99.0 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 0 | 4 | 0 | 31 | 11 | 8 | 12 | 0 | 23 | 9 | 8 | 18 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 23 | 16 | 22 | 7 | 13 | 6 | 40.0% | 16.1% | 73.9% | 90.0 | FUN | |
29 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 6 | 1 | 5 | 0.833 | 7 | 11 | 18 | 0 | 0 | 3 | 2 | 1 | 1 | 121 | 35 | 38 | 44 | 8 | 90 | 23 | 16 | 69 | 9 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 86 | 62 | 61 | 20 | 39 | 20 | 58.3% | 5.8% | 93.3% | 99.1 | DULL | |
30 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 1 | 57 | 15 | 23 | 19 | 4 | 50 | 16 | 20 | 48 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 1 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 46 | 32 | 51 | 15 | 26 | 13 | 60.0% | 7.0% | 94.0% | 101.0 | DULL | |
31 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 34 | 9 | 10 | 15 | 0 | 29 | 11 | 2 | 20 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 26 | 20 | 21 | 6 | 11 | 5 | 25.0% | 2.9% | 89.7% | 92.6 | Unlucky | |
_Vs Division | 21 | 5 | 9 | 0 | 2 | 2 | 1 | 2 | 50 | 57 | -7 | 20 | 0.476 | 50 | 89 | 139 | 0 | 0 | 16 | 16 | 15 | 4 | 621 | 210 | 205 | 188 | 25 | 638 | 187 | 188 | 488 | 65 | 12 | 18.46% | 77 | 12 | 84.42% | 1 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 498 | 341 | 510 | 157 | 273 | 135 | 45.8% | 8.1% | 91.1% | 99.1 | Unlucky | |
_Vs Conference | 41 | 12 | 18 | 0 | 2 | 3 | 2 | 4 | 97 | 115 | -18 | 39 | 0.476 | 97 | 175 | 272 | 0 | 2 | 32 | 31 | 30 | 6 | 1192 | 397 | 394 | 379 | 40 | 1249 | 361 | 352 | 928 | 132 | 22 | 16.67% | 142 | 25 | 82.39% | 2 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 981 | 681 | 987 | 304 | 530 | 262 | 45.5% | 8.1% | 90.8% | 98.9 | Unlucky | |
_Since Last GM Reset | 67 | 23 | 29 | 0 | 3 | 5 | 2 | 5 | 163 | 184 | -21 | 66 | 0.493 | 163 | 301 | 464 | 0 | 5 | 47 | 57 | 54 | 7 | 1923 | 640 | 632 | 621 | 51 | 2023 | 606 | 578 | 1453 | 216 | 37 | 17.13% | 243 | 43 | 82.30% | 4 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 1583 | 1093 | 1617 | 499 | 867 | 429 | 47.2% | 8.5% | 90.9% | 99.4 | Unlucky | |
Total | 67 | 23 | 29 | 0 | 3 | 5 | 2 | 5 | 163 | 184 | -21 | 66 | 0.493 | 163 | 301 | 464 | 0 | 5 | 47 | 57 | 54 | 7 | 1923 | 640 | 632 | 621 | 51 | 2023 | 606 | 578 | 1453 | 216 | 37 | 17.13% | 243 | 43 | 82.30% | 4 | 1166 | 2272 | 51.32% | 1207 | 2289 | 52.73% | 527 | 1002 | 52.59% | 1583 | 1093 | 1617 | 499 | 867 | 429 | 47.2% | 8.5% | 90.9% | 99.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2272 |
Neutral Zone Start | 1002 |
Defensive Zone Start | 2289 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2900 |
Faceoffs Lost | 2663 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 19.0 | 20.31 |
3rd Period | 28.3 | 30.68 |
Overtime | 29.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 122 |
---|---|
PP Goal | 37 |
PK Goal | 4 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 16 | 12 |
Lost | 11 | 18 |
Overtime Lost | 6 | 4 |
PP Attempt | 216 |
---|---|
PP Goal | 37 |
PK Attempt | 243 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 28.7 |
Shots Against | 30.2 |
Goals For | 2.4 |
Goals Against | 2.7 |
Hits | 21.7 |
Shots Blocked | 9.0 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-07 | @ | Sharks2,Predators3 | RECAP | |||||||||||
2022-10-08 | @ | Predators3,Sharks2 (SO) | RECAP | |||||||||||
2022-10-13 | @ | Stars4,Predators3 (SO) | RECAP | |||||||||||
2022-10-15 | @ | Predators8,Stars2 | RECAP | |||||||||||
2022-10-18 | @ | Kings6,Predators2 | RECAP | |||||||||||
2022-10-20 | @ | Predators3,Blue Jackets2 | RECAP | |||||||||||
2022-10-22 | @ | Flyers3,Predators0 | RECAP | |||||||||||
2022-10-27 | @ | Blues1,Predators3 | RECAP | |||||||||||
2022-10-29 | @ | Capitals1,Predators4 | RECAP | |||||||||||
2022-11-01 | @ | Predators2,Oilers0 | RECAP | |||||||||||
2022-11-03 | @ | Predators1,Flames2 | RECAP | |||||||||||
2022-11-05 | @ | Predators0,Canucks5 | RECAP | |||||||||||
2022-11-08 | @ | Predators1,Kraken3 | RECAP | |||||||||||
2022-11-10 | @ | Predators1,Avalanche3 | RECAP | |||||||||||
2022-11-12 | @ | Rangers1,Predators4 | RECAP | |||||||||||
2022-11-15 | @ | Wild4,Predators2 | RECAP | |||||||||||
2022-11-17 | @ | Islanders3,Predators4 | RECAP | |||||||||||
2022-11-19 | @ | Lightning2,Predators5 | RECAP | |||||||||||
2022-11-21 | @ | Coyotes2,Predators0 | RECAP | |||||||||||
2022-11-23 | @ | Predators1,Red Wings5 | RECAP | |||||||||||
2022-11-25 | @ | Avalanche2,Predators1 (SO) | RECAP | |||||||||||
2022-11-26 | @ | Blue Jackets3,Predators0 | RECAP | |||||||||||
2022-11-29 | @ | Ducks4,Predators3 (SO) | RECAP | |||||||||||
2022-12-01 | @ | Predators6,Devils4 | RECAP | |||||||||||
2022-12-02 | @ | Predators5,Islanders4 | RECAP | |||||||||||
2022-12-08 | @ | Predators1,Lightning4 | RECAP | |||||||||||
2022-12-10 | @ | Senators0,Predators4 | RECAP | |||||||||||
2022-12-12 | @ | Predators1,Blues3 | RECAP | |||||||||||
2022-12-13 | @ | Oilers4,Predators1 | RECAP | |||||||||||
2022-12-15 | @ | Predators3,Jets6 | RECAP | |||||||||||
2022-12-17 | @ | Predators2,Avalanche4 | RECAP | |||||||||||
2022-12-19 | @ | Oilers2,Predators5 | RECAP | |||||||||||
2022-12-21 | @ | Predators1,Blackhawks2 (OT) | RECAP | |||||||||||
2022-12-23 | @ | Avalanche2,Predators3 (OT) | RECAP | |||||||||||
2022-12-27 | @ | Stars1,Predators2 | RECAP | |||||||||||
2022-12-30 | @ | Predators0,Ducks5 | RECAP | |||||||||||
2022-12-31 | @ | Predators3,Golden Knights1 | RECAP | |||||||||||
2023-01-03 | @ | Canadiens1,Predators2 | RECAP | |||||||||||
2023-01-05 | @ | Predators1,Hurricanes0 | RECAP | |||||||||||
2023-01-06 | @ | Predators1,Capitals4 | RECAP | |||||||||||
2023-01-09 | @ | Predators3,Senators0 | RECAP | |||||||||||
2023-01-11 | @ | Predators2,Maple Leafs3 (OT) | RECAP | |||||||||||
2023-01-12 | @ | Predators1,Canadiens2 | RECAP | |||||||||||
2023-01-14 | @ | Sabres4,Predators1 | RECAP | |||||||||||
2023-01-16 | @ | Flames2,Predators5 | RECAP | |||||||||||
2023-01-19 | @ | Predators4,Blues3 (OT) | RECAP | |||||||||||
2023-01-21 | @ | Kings4,Predators6 | RECAP | |||||||||||
2023-01-24 | @ | Jets3,Predators5 | RECAP | |||||||||||
2023-01-26 | @ | Devils1,Predators2 (OT) | RECAP | |||||||||||
2023-02-07 | @ | Golden Knights2,Predators1 (SO) | RECAP | |||||||||||
2023-02-11 | @ | Predators3,Flyers4 (OT) | RECAP | |||||||||||
2023-02-13 | @ | Coyotes2,Predators3 | RECAP | |||||||||||
2023-02-16 | @ | Bruins2,Predators1 | RECAP | |||||||||||
2023-02-18 | @ | Panthers2,Predators1 (SO) | RECAP | |||||||||||
2023-02-19 | @ | Predators2,Wild3 | RECAP | |||||||||||
2023-02-21 | @ | Canucks3,Predators2 | RECAP | |||||||||||
2023-02-23 | @ | Predators1,Sharks2 (OT) | RECAP | |||||||||||
2023-02-26 | @ | Predators0,Coyotes3 | RECAP | |||||||||||
2023-02-28 | @ | Penguins6,Predators5 | RECAP | |||||||||||
2023-03-02 | @ | Predators4,Panthers5 | RECAP | |||||||||||
2023-03-04 | @ | Predators3,Blackhawks2 (SO) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-06 | @ | Predators2,Canucks0 | RECAP | |||||||||||
2023-03-09 | @ | Predators1,Coyotes2 | RECAP | |||||||||||
2023-03-11 | @ | Predators5,Kings6 | RECAP | |||||||||||
2023-03-12 | @ | Predators1,Ducks3 | RECAP | |||||||||||
2023-03-14 | @ | Red Wings3,Predators2 | RECAP | |||||||||||
2023-03-16 | @ | Blackhawks3,Predators2 (OT) | RECAP | |||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-19 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-23 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-26 | @ | |||||||||||||
2023-03-28 | @ | |||||||||||||
2023-03-30 | @ | |||||||||||||
2023-04-01 | @ | |||||||||||||
2023-04-03 | @ | |||||||||||||
2023-04-04 | @ | |||||||||||||
2023-04-06 | @ | |||||||||||||
2023-04-08 | @ | |||||||||||||
2023-04-10 | @ | |||||||||||||
2023-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,791,666$ | 0$ | 78,989,488$ | 708,334$ |
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 | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 185055 | 156050 | 61517 | 126865 | 30812 |
Attendance PCT | 93.46% | 94.58% | 93.21% | 96.11% | 93.37% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 16979 - 94.33% | 1,490,743$ | 49,194,523$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,791,666$ | 81,791,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
69,754,713$ | 399,691$ | 68,197,831$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
11,925,945$ | 27 | 438,051$ | 11,827,377$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
12,137,497$ | 81,791,666$ | 41,805,470$ | 41,593,918$ |
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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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2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Artem Barabosha | 2022 | 168 | |||
Artem Shlaine | 2020 | 202 | |||
Daniel Sambuco | 2021 | 220 | |||
Eric Engstrand | |||||
Isaiah George | 2022 | 102 | |||
Karch Bachman | |||||
Leevi Merilainen | |||||
Liam Gilmartin | 2021 | 128 | |||
Martin Rysavy | 2021 | 155 | |||
Nicholas Porco | 2019 | 158 | |||
Nikita Quapp | 2021 | 193 | |||
Ryan St Louis | 2021 | 219 | |||
Ty Gallagher | 2021 | 158 |
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