|
|
|
|
|
|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
Detroit Red Wings 12-7-4, 28pts · 6th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matthew Tkachuk | 19 | LW/RW | 100.00 | 72 | 41 | 55 | 86 | 80 | 88 | 90 | 84 | 59 | 89 | 81 | 61 | 82 | 70 | 66 | 0 | 44 | 90 | 26 | 8,000,000$/3yrs | |||
Brady Tkachuk | 7 | C/LW | 100.00 | 90 | 55 | 50 | 83 | 89 | 87 | 90 | 79 | 79 | 78 | 83 | 60 | 81 | 67 | 77 | 0 | 45 | 88 | 25 | 6,500,000$/3yrs | |||
Dylan Larkin (C) | 71 | C/LW | 100.00 | 62 | 36 | 80 | 82 | 78 | 89 | 88 | 79 | 91 | 79 | 82 | 74 | 81 | 73 | 88 | 0 | 44 | 88 | 28 | 8,500,000$/6yrs | |||
Jason Robertson | 21 | LW | 100.00 | 65 | 33 | 91 | 84 | 81 | 86 | 90 | 81 | 55 | 84 | 83 | 60 | 82 | 67 | 66 | 0 | 44 | 88 | 25 | 8,000,000$/6yrs | |||
Anze Kopitar | 0 | C | 100.00 | 60 | 34 | 90 | 73 | 89 | 88 | 90 | 76 | 92 | 79 | 76 | 81 | 76 | 88 | 99 | 0 | 44 | 87 | 37 | 7,000,000$/3yrs | |||
Jesper Bratt | 0 | LW/RW | 100.00 | 63 | 32 | 94 | 85 | 67 | 88 | 90 | 78 | 59 | 84 | 76 | 66 | 77 | 69 | 69 | 0 | 44 | 87 | 26 | 7,875,000$/7yrs | |||
Dylan Guenther (R) | 0 | LW/RW | 100.00 | 64 | 32 | 89 | 80 | 71 | 83 | 79 | 74 | 57 | 72 | 80 | 68 | 77 | 61 | 60 | 0 | 44 | 83 | 21 | 894,167$/1yrs | |||
Michael Rasmussen | 0 | C/LW | 100.00 | 76 | 38 | 76 | 65 | 88 | 81 | 85 | 68 | 76 | 68 | 66 | 78 | 67 | 68 | 65 | 0 | 31 | 78 | 25 | 3,200,000$/4yrs | |||
Dawson Mercer | 0 | C/RW | 100.00 | 59 | 34 | 90 | 71 | 71 | 84 | 90 | 68 | 73 | 66 | 74 | 66 | 71 | 63 | 62 | 0 | 44 | 78 | 23 | 3,500,000$/2yrs | |||
Corey Perry | 0 | RW | 100.00 | 63 | 57 | 65 | 56 | 84 | 76 | 86 | 63 | 55 | 62 | 66 | 53 | 65 | 91 | 88 | 0 | 46 | 74 | 39 | 1,275,000$/1yrs | |||
Radek Faksa | 0 | C | 100.00 | 70 | 36 | 86 | 55 | 89 | 77 | 89 | 60 | 81 | 60 | 62 | 75 | 61 | 76 | 75 | 0 | 46 | 74 | 30 | 1,500,000$/1yrs | |||
Joe Veleno | 0 | C/RW | 100.00 | 74 | 35 | 88 | 61 | 80 | 78 | 90 | 62 | 78 | 62 | 63 | 64 | 62 | 66 | 64 | 0 | 44 | 73 | 24 | 1,400,000$/1yrs | |||
Cale Makar | 8 | D | 98.00 | 61 | 32 | 92 | 91 | 72 | 97 | 90 | 85 | 30 | 91 | 75 | 93 | 80 | 69 | 78 | 0 | 44 | 97 | 26 | 7,500,000$/2yrs | |||
Brock Faber | 0 | D | 100.00 | 64 | 33 | 89 | 72 | 79 | 97 | 78 | 72 | 30 | 75 | 61 | 81 | 66 | 62 | 61 | 0 | 44 | 84 | 22 | 925,000$/1yrs | |||
Mario Ferraro | 38 | D | 99.00 | 71 | 33 | 84 | 62 | 80 | 94 | 90 | 67 | 30 | 65 | 56 | 86 | 61 | 68 | 67 | 0 | 44 | 79 | 26 | 3,000,000$/2yrs | |||
Mikey Anderson | 44 | D | 99.00 | 74 | 33 | 82 | 58 | 76 | 93 | 90 | 62 | 30 | 61 | 64 | 84 | 63 | 68 | 66 | 0 | 44 | 77 | 25 | 4,125,000$/7yrs | |||
Simon Edvinsson (R) | 3 | D | 100.00 | 66 | 34 | 87 | 65 | 87 | 91 | 90 | 60 | 30 | 64 | 61 | 82 | 60 | 61 | 60 | 0 | 64 | 77 | 21 | 894,167$/2yrs | |||
Vincent Desharnais | 0 | D | 100.00 | 75 | 47 | 76 | 55 | 89 | 82 | 90 | 59 | 30 | 60 | 52 | 77 | 56 | 72 | 70 | 0 | 45 | 74 | 28 | 1,750,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Joe Pavelski | 0 | C/RW | 100.00 | 68 | 33 | 93 | 72 | 76 | 84 | 90 | 75 | 81 | 78 | 76 | 64 | 76 | 94 | 99 | 0 | 20 | 86 | 40 | 1,275,000$/1yrs | |||
TEAM AVERAGE | 99.79 | 68 | 37 | 82 | 71 | 80 | 86 | 88 | 71 | 59 | 72 | 70 | 72 | 71 | 71 | 73 | 0 | 43 | 82 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cam Talbot | 0 | 97.00 | 86 | 95 | 82 | 81 | 89 | 78 | 89 | 91 | 85 | 92 | 89 | 88 | 92 | 0 | 45 | 91 | 37 | 2,250,000$/2yrs |
Juuse Saros | 0 | 100.00 | 89 | 95 | 85 | 72 | 89 | 81 | 90 | 91 | 89 | 90 | 90 | 75 | 79 | 0 | 43 | 90 | 29 | 4,250,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 88 | 95 | 84 | 77 | 89 | 80 | 90 | 91 | 87 | 91 | 90 | 82 | 86 | 0 | 44 | 91 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kris Knoblauch | 87 | 87 | 97 | 87 | 66 | 62 | 83 | CAN | 45 | 5 | 1,000,000$ |
General Manager | Jean-francois Claes |
---|
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 | Cale Makar | Red Wings | 8 | D | 23 | 8 | 18 | 26 | -5 | 6 | 0 | 24 | 56 | 22 | 49 | 14.29% | 36 | 25.27 | 4 | 5 | 9 | 83 | 0 | 0 | 0 | 68 | 4 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.89 | 0 | 0 |
2 | Dylan Larkin | Red Wings | 71 | C/LW | 23 | 9 | 14 | 23 | 4 | 0 | 0 | 10 | 77 | 15 | 53 | 11.69% | 4 | 20.73 | 2 | 7 | 9 | 84 | 0 | 0 | 0 | 61 | 0 | 0 | 57.99% | 638 | 0 | 0 | 0 | 0 | 0.96 | 0 | 2 |
3 | Matthew Tkachuk | Red Wings | 19 | LW/RW | 23 | 7 | 15 | 22 | 3 | 16 | 0 | 71 | 73 | 18 | 48 | 9.59% | 0 | 19.09 | 4 | 3 | 7 | 84 | 0 | 0 | 0 | 28 | 2 | 0 | 38.24% | 34 | 0 | 0 | 1 | 0 | 1.00 | 0 | 2 |
4 | Dylan Guenther | Red Wings | 0 | LW/RW | 23 | 9 | 11 | 20 | -1 | 4 | 0 | 13 | 91 | 17 | 61 | 9.89% | 2 | 17.02 | 1 | 5 | 6 | 82 | 0 | 0 | 0 | 0 | 3 | 0 | 52.94% | 17 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 |
5 | Brock Faber | Red Wings | 0 | D | 23 | 6 | 12 | 18 | 5 | 14 | 0 | 24 | 36 | 10 | 18 | 16.67% | 34 | 23.71 | 5 | 3 | 8 | 80 | 0 | 0 | 0 | 74 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
6 | Brady Tkachuk | Red Wings | 7 | C/LW | 23 | 10 | 6 | 16 | 4 | 29 | 5 | 79 | 64 | 14 | 40 | 15.63% | 0 | 17.94 | 2 | 2 | 4 | 72 | 0 | 0 | 0 | 25 | 0 | 0 | 63.83% | 47 | 0 | 0 | 0 | 0 | 0.78 | 1 | 2 |
7 | Anze Kopitar | Red Wings | 0 | C | 23 | 4 | 12 | 16 | 3 | 0 | 0 | 1 | 97 | 27 | 46 | 4.12% | 5 | 19.65 | 0 | 6 | 6 | 72 | 0 | 0 | 0 | 74 | 0 | 0 | 56.86% | 612 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
8 | Jesper Bratt | Red Wings | 0 | LW/RW | 23 | 3 | 11 | 14 | 2 | 0 | 0 | 1 | 64 | 17 | 48 | 4.69% | 2 | 16.31 | 1 | 3 | 4 | 35 | 0 | 0 | 0 | 27 | 0 | 0 | 50.00% | 26 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
9 | Mario Ferraro | Red Wings | 38 | D | 23 | 1 | 11 | 12 | 2 | 16 | 0 | 46 | 25 | 4 | 19 | 4.00% | 46 | 20.82 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 70 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
10 | Jason Robertson | Red Wings | 21 | LW | 23 | 6 | 6 | 12 | 3 | 2 | 0 | 9 | 49 | 17 | 42 | 12.24% | 2 | 15.42 | 0 | 0 | 0 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 22 | 0 | 0 | 1 | 0 | 0.68 | 0 | 1 |
11 | Michael Rasmussen | Red Wings | 0 | C/LW | 22 | 6 | 5 | 11 | 1 | 27 | 5 | 41 | 41 | 3 | 26 | 14.63% | 4 | 15.06 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 49 | 1 | 0 | 53.82% | 262 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
12 | Dawson Mercer | Red Wings | 0 | C/RW | 23 | 3 | 5 | 8 | -1 | 0 | 0 | 11 | 44 | 12 | 25 | 6.82% | 2 | 16.55 | 1 | 1 | 2 | 73 | 0 | 0 | 0 | 0 | 0 | 0 | 46.98% | 149 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
13 | Vincent Desharnais | Red Wings | 0 | D | 23 | 0 | 5 | 5 | 10 | 29 | 5 | 28 | 10 | 1 | 9 | 0.00% | 10 | 12.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 |
14 | Simon Edvinsson | Red Wings | 3 | D | 8 | 0 | 5 | 5 | 3 | 2 | 0 | 5 | 2 | 3 | 6 | 0.00% | 11 | 13.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 |
15 | Mikey Anderson | Red Wings | 44 | D | 23 | 0 | 4 | 4 | -6 | 16 | 0 | 64 | 14 | 9 | 10 | 0.00% | 28 | 21.81 | 0 | 1 | 1 | 40 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 |
16 | Corey Perry | Red Wings | 0 | RW | 23 | 4 | 0 | 4 | 2 | 6 | 0 | 12 | 16 | 1 | 11 | 25.00% | 0 | 6.26 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 |
17 | Radek Faksa | Red Wings | 0 | C | 23 | 1 | 2 | 3 | 2 | 8 | 0 | 6 | 24 | 4 | 14 | 4.17% | 1 | 7.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 52.90% | 155 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
18 | Joe Veleno | Red Wings | 0 | C/RW | 23 | 0 | 1 | 1 | 2 | 6 | 0 | 16 | 6 | 0 | 10 | 0.00% | 0 | 6.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 |
Team Total or Average | 398 | 77 | 143 | 220 | 33 | 181 | 15 | 461 | 789 | 194 | 535 | 9.76% | 187 | 16.51 | 20 | 38 | 58 | 791 | 0 | 0 | 0 | 573 | 12 | 1 | 55.32% | 1974 | 0 | 0 | 3 | 0 | 0.67 | 1 | 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 | Cam Talbot | Red Wings | 19 | 11 | 3 | 3 | 0.921 | 2.05 | 1081 | 6 | 1 | 37 | 470 | 0 | 1 | 1 | 0.500 | 2 | 18 | 5 | 0 | 0 | 1 |
2 | Juuse Saros | Red Wings | 9 | 3 | 5 | 1 | 0.866 | 4.43 | 488 | 4 | 0 | 36 | 268 | 0 | 0 | 1 | 0.500 | 4 | 8 | 16 | 0 | 0 | 1 |
Team Total or Average | 28 | 14 | 8 | 4 | 0.901 | 2.79 | 1569 | 10 | 1 | 73 | 738 | 0 | 1 | 2 | 0.500 | 6 | 26 | 21 | 0 | 0 | 2 |
Projected Total Cap Hit | 82,611,926$ |
Projected Cap Space | 5,388,074$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,218,860$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Red Wings Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anze Kopitar | C | 37 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Brady Tkachuk | C/LW | 25 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | RFA | ||||
Brock Faber | D | 22 | 925,000$ | 925,000$ | RFA | ||||||
Cale Makar | D | 26 | 7,500,000$ | 7,500,000$ | 7,500,000$ | RFA | |||||
Cam Talbot | G | 37 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Corey Perry | RW | 39 | 1,275,000$ | 1,275,000$ | UFA | ||||||
Dawson Mercer | C/RW | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Dylan Guenther | LW/RW | 21 | 894,167$ | 894,167$ | RFA | ||||||
Dylan Larkin | C/LW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |
Jason Robertson | LW | 25 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
Jesper Bratt | LW/RW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA |
Joe Pavelski | C/RW | 40 | 1,275,000$ | 1,275,000$ | UFA | ||||||
Joe Veleno | C/RW | 24 | 1,400,000$ | 1,400,000$ | RFA | ||||||
Juuse Saros | G | 29 | 4,250,000$ | 4,250,000$ | UFA | ||||||
Mario Ferraro | D | 26 | 3,000,000$ | 3,000,000$ | 3,250,000$ | RFA | |||||
Matthew Tkachuk | LW/RW | 26 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Michael Rasmussen | C/LW | 25 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||
Mikey Anderson | D | 25 | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA |
Radek Faksa | C | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Simon Edvinsson | D | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Vincent Desharnais | D | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Axel Sandin Pellikka | D | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Beckett Sennecke | RW | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Bradly Nadeau | LW | 19 | 775,000$ | 775,000$ | RFA | ||||||
Brennan Othmann | LW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
David Goyette | C | 20 | 891,667$ | 891,667$ | 891,667$ | 891,667$ | RFA | ||||
Ethan Gauthier | RW | 19 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Etienne Morin | D | 19 | 903,333$ | 903,333$ | 903,333$ | 903,333$ | RFA | ||||
Hendrix Lapierre | C | 22 | 863,333$ | 863,333$ | RFA | ||||||
Jakob Pelletier | C/LW | 23 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Jeremie Poirier | D | 22 | 823,333$ | 823,333$ | RFA | ||||||
Jonathan Toews | C | 36 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Jordan Dumais | RW | 20 | 860,000$ | 860,000$ | 860,000$ | 860,000$ | RFA | ||||
Joshua Roy | LW/RW | 21 | 856,667$ | 856,667$ | RFA | ||||||
Lukas Dostal | G | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Marco Kasper | C | 20 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Mathieu Cataford | C/RW | 19 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Maveric Lamoureux | D | 20 | 876,667$ | 876,667$ | 876,667$ | 876,667$ | RFA | ||||
Mavrik Bourque | C | 22 | 894,167$ | 894,167$ | RFA | ||||||
Nathan Gaucher | C | 21 | 866,667$ | 866,667$ | 866,667$ | 866,667$ | RFA | ||||
Noah Warren | D | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Remi Poirier | G | 23 | 836,667$ | 836,667$ | RFA | ||||||
Sebastian Cossa | G | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Shakir Mukhamadullin | D | 22 | 894,167$ | 894,167$ | RFA | ||||||
Simon Benoit | D | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||||
Stian Solberg | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Terik Parascak | RW | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tij Iginla | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Tristan Luneau | D | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
William Dufour | RW | 22 | 859,167$ | 859,167$ | RFA | ||||||
William Wallinder | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Xavier Bourgeault | RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Zachary Bolduc | C | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Zachary L'Heureux | LW | 21 | 894,167$ | 894,167$ | RFA | ||||||
Zayne Parekh | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 | Flames | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 9 | 9 | 12 | 0 | 30 | 9 | 10 | 26 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 24 | 17 | 22 | 7 | 12 | 5 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
2 | Devils | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 5 | 1 | 2 | 0 | 66 | 23 | 21 | 22 | 0 | 44 | 12 | 12 | 37 | 11 | 3 | 27.27% | 6 | 0 | 100.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 50 | 36 | 44 | 15 | 24 | 12 | 71.4% | 12.1% | 95.5% | 107.6 | LUCKY |
3 | Islanders | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 7 | 3 | 5 | 0.833 | 10 | 19 | 29 | 0 | 0 | 6 | 0 | 4 | 0 | 97 | 47 | 26 | 23 | 4 | 88 | 28 | 37 | 62 | 12 | 3 | 25.00% | 16 | 1 | 93.75% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 80 | 56 | 66 | 21 | 37 | 19 | 53.8% | 10.3% | 92.0% | 102.4 | LUCKY |
4 | Rangers | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 3 | 0.500 | 7 | 13 | 20 | 0 | 0 | 5 | 0 | 2 | 0 | 105 | 43 | 26 | 33 | 3 | 83 | 27 | 28 | 61 | 14 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 81 | 59 | 64 | 21 | 36 | 18 | 53.8% | 6.7% | 90.4% | 97.0 | Unlucky |
5 | Kings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 11 | 12 | 8 | 0 | 27 | 5 | 13 | 25 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 23 | 16 | 23 | 7 | 12 | 6 | 50.0% | 9.7% | 92.6% | 102.3 | LUCKY |
6 | Predators | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 2 | 12 | 4 | 1.000 | 14 | 26 | 40 | 0 | 0 | 7 | 4 | 3 | 0 | 95 | 43 | 19 | 33 | 0 | 32 | 13 | 12 | 53 | 12 | 6 | 50.00% | 6 | 1 | 83.33% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 57 | 41 | 36 | 14 | 26 | 14 | 88.9% | 14.7% | 93.8% | 108.5 | LUCKY |
7 | Oilers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 35 | 6 | 12 | 17 | 0 | 35 | 14 | 8 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 23 | 16 | 24 | 6 | 11 | 5 | 50.0% | 8.6% | 88.6% | 97.1 | Unlucky |
8 | Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 19 | 6 | 11 | 2 | 0 | 28 | 19 | 10 | 21 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 21 | 15 | 25 | 6 | 12 | 6 | 75.0% | 15.8% | 92.9% | 108.6 | LUCKY |
9 | Sabres | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 10 | 0 | 3 | 0.750 | 10 | 19 | 29 | 0 | 0 | 1 | 3 | 6 | 1 | 85 | 37 | 23 | 20 | 9 | 62 | 27 | 8 | 39 | 7 | 3 | 42.86% | 4 | 1 | 75.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 48 | 34 | 48 | 15 | 27 | 13 | 43.8% | 11.8% | 83.9% | 95.6 | FUN |
10 | Blackhawks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 44 | 12 | 16 | 16 | 0 | 31 | 6 | 6 | 11 | 7 | 2 | 28.57% | 3 | 2 | 33.33% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 27 | 20 | 19 | 6 | 12 | 6 | 40.0% | 9.1% | 83.9% | 93.0 | FUN |
11 | Jets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 41 | 19 | 9 | 13 | 0 | 32 | 4 | 2 | 20 | 3 | 1 | 33.33% | 1 | 1 | 0.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 27 | 20 | 20 | 6 | 12 | 7 | 44.4% | 12.2% | 81.3% | 93.4 | FUN |
12 | Ducks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 32 | 5 | 10 | 17 | 0 | 34 | 7 | 4 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 24 | 17 | 23 | 6 | 11 | 6 | 66.7% | 12.5% | 94.1% | 106.6 | LUCKY |
13 | Maple Leafs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 31 | 12 | 9 | 10 | 0 | 28 | 9 | 8 | 27 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 25 | 16 | 22 | 7 | 11 | 5 | 66.7% | 6.5% | 96.4% | 102.9 | DULL |
14 | Penguins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 1 | 0 | 2 | 1 | 0 | 0 | 72 | 19 | 24 | 29 | 0 | 57 | 15 | 12 | 39 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 51 | 36 | 47 | 15 | 23 | 11 | 28.6% | 4.2% | 89.5% | 93.6 | Unlucky |
15 | Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 15 | 4 | 4 | 7 | 0 | 30 | 8 | 27 | 16 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 21 | 13 | 26 | 6 | 11 | 5 | 25.0% | 6.7% | 86.7% | 93.3 | Unlucky |
_Vs Division | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 13 | 2 | 7 | 0.875 | 15 | 28 | 43 | 0 | 0 | 5 | 4 | 6 | 1 | 135 | 55 | 43 | 32 | 9 | 118 | 55 | 26 | 87 | 10 | 3 | 30.00% | 12 | 2 | 83.33% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 96 | 66 | 97 | 29 | 51 | 25 | 52.2% | 11.1% | 89.0% | 100.1 | FUN | |
_Vs Conference | 14 | 8 | 2 | 0 | 0 | 2 | 0 | 2 | 43 | 36 | 7 | 20 | 0.714 | 43 | 81 | 124 | 1 | 1 | 23 | 6 | 14 | 1 | 475 | 187 | 140 | 139 | 16 | 390 | 137 | 115 | 286 | 55 | 10 | 18.18% | 53 | 6 | 88.68% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 360 | 256 | 319 | 102 | 173 | 88 | 52.4% | 9.1% | 90.8% | 99.8 | FUN | |
_Since Last GM Reset | 23 | 12 | 7 | 0 | 0 | 2 | 0 | 2 | 77 | 65 | 12 | 28 | 0.609 | 77 | 144 | 221 | 1 | 1 | 37 | 18 | 22 | 1 | 798 | 296 | 231 | 262 | 16 | 641 | 203 | 197 | 484 | 95 | 20 | 21.05% | 84 | 13 | 84.52% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 591 | 420 | 517 | 165 | 285 | 146 | 52.3% | 9.6% | 89.9% | 99.5 | FUN | |
Total | 23 | 12 | 7 | 0 | 0 | 2 | 0 | 2 | 77 | 65 | 12 | 28 | 0.609 | 77 | 144 | 221 | 1 | 1 | 37 | 18 | 22 | 1 | 798 | 296 | 231 | 262 | 16 | 641 | 203 | 197 | 484 | 95 | 20 | 21.05% | 84 | 13 | 84.52% | 0 | 479 | 868 | 55.18% | 413 | 731 | 56.50% | 201 | 357 | 56.30% | 591 | 420 | 517 | 165 | 285 | 146 | 52.3% | 9.6% | 89.9% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 868 |
Neutral Zone Start | 357 |
Defensive Zone Start | 731 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 1093 |
Faceoffs Lost | 863 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.9 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 34.3 | 30.68 |
Overtime | 35.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 56 |
---|---|
PP Goal | 20 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 6 |
Lost | 5 | 2 |
Overtime Lost | 1 | 3 |
PP Attempt | 95 |
---|---|
PP Goal | 20 |
PK Attempt | 84 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 34.7 |
Shots Against | 27.9 |
Goals For | 3.3 |
Goals Against | 2.8 |
Hits | 21.0 |
Shots Blocked | 8.8 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | Penguins | @ | Red Wings | Penguins5,Red Wings3 | RECAP | |||||||||
2024-10-14 | Predators | @ | Red Wings | Predators1,Red Wings8 | RECAP | |||||||||
2024-10-16 | Red Wings | @ | Rangers | Red Wings2,Rangers1 | RECAP | |||||||||
2024-10-19 | Rangers | @ | Red Wings | Rangers3,Red Wings2 (OT) | RECAP | |||||||||
2024-10-21 | Red Wings | @ | Predators | Red Wings6,Predators1 | RECAP | |||||||||
2024-10-24 | Red Wings | @ | Islanders | Red Wings4,Islanders2 | RECAP | |||||||||
2024-10-26 | Devils | @ | Red Wings | Devils0,Red Wings5 | RECAP | |||||||||
2024-10-28 | Red Wings | @ | Sabres | Red Wings6,Sabres7 (SO) | RECAP | |||||||||
2024-10-29 | Oilers | @ | Red Wings | Oilers4,Red Wings3 | RECAP | |||||||||
2024-11-01 | Jets | @ | Red Wings | Jets6,Red Wings5 | RECAP | |||||||||
2024-11-04 | Sabres | @ | Red Wings | Sabres3,Red Wings4 | RECAP | |||||||||
2024-11-08 | Red Wings | @ | Blackhawks | Red Wings4,Blackhawks5 | RECAP | |||||||||
2024-11-10 | Red Wings | @ | Maple Leafs | Red Wings2,Maple Leafs1 | RECAP | |||||||||
2024-11-11 | Rangers | @ | Red Wings | Rangers4,Red Wings3 | RECAP | |||||||||
2024-11-15 | Red Wings | @ | Penguins | Red Wings0,Penguins1 (OT) | RECAP | |||||||||
2024-11-17 | Red Wings | @ | Ducks | Red Wings4,Ducks2 | RECAP | |||||||||
2024-11-18 | Red Wings | @ | Kings | Red Wings3,Kings2 | RECAP | |||||||||
2024-11-20 | Red Wings | @ | Sharks | Red Wings1,Sharks4 | RECAP | |||||||||
2024-11-23 | Islanders | @ | Red Wings | Islanders1,Red Wings3 | RECAP | |||||||||
2024-11-25 | Bruins | @ | Red Wings | Bruins2,Red Wings3 | RECAP | |||||||||
2024-11-27 | Red Wings | @ | Islanders | Red Wings3,Islanders4 (SO) | RECAP | |||||||||
2024-11-29 | Flames | @ | Red Wings | Flames4,Red Wings0 | RECAP | |||||||||
2024-12-01 | Devils | @ | Red Wings | Devils2,Red Wings3 | RECAP | |||||||||
2024-12-03 | Canucks | @ | Red Wings | |||||||||||
2024-12-05 | Red Wings | @ | Bruins | |||||||||||
2024-12-07 | Red Wings | @ | Senators | |||||||||||
2024-12-09 | Avalanche | @ | Red Wings | |||||||||||
2024-12-11 | Red Wings | @ | Sabres | |||||||||||
2024-12-14 | Red Wings | @ | Flyers | |||||||||||
2024-12-16 | Maple Leafs | @ | Red Wings | |||||||||||
2024-12-20 | Flyers | @ | Red Wings | |||||||||||
2024-12-22 | Canadiens | @ | Red Wings | |||||||||||
2024-12-23 | Red Wings | @ | Canadiens | |||||||||||
2024-12-25 | Blues | @ | Red Wings | |||||||||||
2024-12-29 | Maple Leafs | @ | Red Wings | |||||||||||
2024-12-31 | Capitals | @ | Red Wings | |||||||||||
2025-01-02 | Penguins | @ | Red Wings | |||||||||||
2025-01-04 | Red Wings | @ | Blue Jackets | |||||||||||
2025-01-06 | Red Wings | @ | Jets | |||||||||||
2025-01-09 | Senators | @ | Red Wings | |||||||||||
2025-01-12 | Blackhawks | @ | Red Wings | |||||||||||
2025-01-14 | Kraken | @ | Red Wings | |||||||||||
2025-01-16 | Sharks | @ | Red Wings | |||||||||||
2025-01-18 | Red Wings | @ | Panthers | |||||||||||
2025-01-20 | Red Wings | @ | Lightning | |||||||||||
2025-01-21 | Red Wings | @ | Stars | |||||||||||
2025-01-23 | Red Wings | @ | Flyers | |||||||||||
2025-01-25 | Canadiens | @ | Red Wings | |||||||||||
2025-01-27 | Lightning | @ | Red Wings | |||||||||||
2025-01-29 | Kings | @ | Red Wings | |||||||||||
2025-02-01 | Red Wings | @ | Oilers | |||||||||||
2025-02-03 | Red Wings | @ | Flames | |||||||||||
2025-02-04 | Red Wings | @ | Canucks | |||||||||||
2025-02-06 | Red Wings | @ | Kraken | |||||||||||
2025-02-10 | Lightning | @ | Red Wings | |||||||||||
2025-02-24 | Wild | @ | Red Wings | |||||||||||
2025-02-25 | Ducks | @ | Red Wings | |||||||||||
2025-02-27 | Red Wings | @ | Wild | |||||||||||
2025-03-01 | Blue Jackets | @ | Red Wings | |||||||||||
2025-03-03 | Red Wings | @ | Blue Jackets | |||||||||||
2025-03-06 | Hurricanes | @ | Red Wings | |||||||||||
2025-03-08 | Hockey Club | @ | Red Wings | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | Red Wings | @ | Capitals | |||||||||||
2025-03-12 | Red Wings | @ | Senators | |||||||||||
2025-03-14 | Sabres | @ | Red Wings | |||||||||||
2025-03-16 | Red Wings | @ | Hurricanes | |||||||||||
2025-03-18 | Golden Knights | @ | Red Wings | |||||||||||
2025-03-20 | Red Wings | @ | Capitals | |||||||||||
2025-03-24 | Red Wings | @ | Golden Knights | |||||||||||
2025-03-26 | Red Wings | @ | Hockey Club | |||||||||||
2025-03-27 | Red Wings | @ | Avalanche | |||||||||||
2025-03-29 | Senators | @ | Red Wings | |||||||||||
2025-03-31 | Bruins | @ | Red Wings | |||||||||||
2025-04-03 | Red Wings | @ | Blues | |||||||||||
2025-04-06 | Hurricanes | @ | Red Wings | |||||||||||
2025-04-08 | Panthers | @ | Red Wings | |||||||||||
2025-04-10 | Red Wings | @ | Canadiens | |||||||||||
2025-04-12 | Red Wings | @ | Panthers | |||||||||||
2025-04-13 | Red Wings | @ | Lightning | |||||||||||
2025-04-16 | Stars | @ | Red Wings | |||||||||||
2025-04-18 | Red Wings | @ | Devils | |||||||||||
2025-04-19 | Red Wings | @ | Maple Leafs |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,338,334$ | 0$ | 82,611,926$ | 5,661,666$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Joe Louis Arena | ||
City | Detroit | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 68704 | 57634 | 22918 | 45912 | 11101 |
Attendance PCT | 95.42% | 96.06% | 95.49% | 95.65% | 92.51% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 17189 - 95.49% | 1,570,678$ | 18,848,139$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,338,334$ | 82,338,334$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,509,674$ | 420,094$ | 24,218,860$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
45,549,669$ | 139 | 425,196$ | 59,102,244$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
61,840,619$ | 82,338,334$ | 61,272,788$ | 44,981,838$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Alexander Nikishin | Red Wings | 2020 | 99 | ||
Anthony Romani | Red Wings | 2024 | 130 | ||
Damian Clara | Red Wings | 2023 | 73 | ||
Gabe Perreault | Red Wings | 2023 | 15 | ||
Igor Chernyshov | Red Wings | 2024 | 22 | ||
Ilya Nabokov | Red Wings | 2024 | 65 | ||
Jeremy Langlois | Red Wings | 2022 | 97 | ||
Landon Miller | Red Wings | 2024 | 114 | ||
Nathan Villeneuve | Red Wings | 2024 | 74 | ||
Raoul Boilard | Red Wings | 2024 | 110 | ||
Rodion Amirov | Red Wings | RIP | |||
Rudy Guimond | Red Wings | 2023 | 196 |