|
|
|
|
|
|
Full Scoreboard »» |
Detroit Red Wings 9-6-3, 21pts · 9th 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 | 42 | 90 | 26 | 8,000,000$/3yrs | |||
Brady Tkachuk | 7 | C/LW | 100.00 | 90 | 55 | 50 | 83 | 89 | 87 | 90 | 79 | 79 | 78 | 83 | 60 | 81 | 67 | 77 | 0 | 43 | 88 | 25 | 6,500,000$/3yrs | |||
Dylan Larkin (C) | 71 | C/LW | 99.00 | 62 | 36 | 80 | 82 | 78 | 89 | 88 | 79 | 91 | 79 | 82 | 74 | 81 | 73 | 88 | 0 | 42 | 88 | 28 | 8,500,000$/6yrs | |||
Jason Robertson | 21 | LW | 100.00 | 65 | 33 | 91 | 84 | 81 | 86 | 90 | 81 | 55 | 84 | 83 | 60 | 82 | 67 | 66 | 0 | 42 | 88 | 25 | 8,000,000$/6yrs | |||
Anze Kopitar | 0 | C | 100.00 | 60 | 34 | 90 | 73 | 89 | 88 | 90 | 76 | 92 | 79 | 76 | 81 | 76 | 88 | 99 | 0 | 42 | 87 | 37 | 7,000,000$/3yrs | |||
Jesper Bratt | 0 | LW/RW | 99.00 | 63 | 32 | 94 | 85 | 67 | 88 | 90 | 78 | 59 | 84 | 76 | 66 | 77 | 69 | 69 | 0 | 42 | 87 | 26 | 7,875,000$/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 | 42 | 83 | 21 | 894,167$/1yrs | |||
Michael Rasmussen | 0 | C/LW | 100.00 | 76 | 38 | 76 | 65 | 88 | 81 | 85 | 68 | 76 | 68 | 66 | 78 | 67 | 68 | 65 | 0 | 29 | 78 | 25 | 3,200,000$/4yrs | |||
Dawson Mercer | 0 | C/RW | 100.00 | 59 | 34 | 90 | 71 | 71 | 84 | 90 | 68 | 73 | 66 | 74 | 66 | 71 | 63 | 62 | 0 | 42 | 78 | 23 | 3,500,000$/2yrs | |||
Corey Perry | 0 | RW | 100.00 | 63 | 57 | 65 | 56 | 84 | 76 | 86 | 63 | 55 | 62 | 66 | 53 | 65 | 91 | 88 | 0 | 44 | 74 | 39 | 1,275,000$/1yrs | |||
Radek Faksa | 0 | C | 100.00 | 70 | 36 | 86 | 55 | 89 | 77 | 89 | 60 | 81 | 60 | 62 | 75 | 61 | 76 | 75 | 0 | 44 | 74 | 30 | 1,500,000$/1yrs | |||
Joe Veleno | 0 | C/RW | 100.00 | 74 | 35 | 88 | 61 | 80 | 78 | 90 | 62 | 78 | 62 | 63 | 64 | 62 | 66 | 64 | 0 | 42 | 73 | 24 | 1,400,000$/1yrs | |||
Cale Makar | 8 | D | 98.00 | 61 | 32 | 92 | 91 | 72 | 97 | 90 | 85 | 30 | 91 | 75 | 93 | 80 | 69 | 78 | 0 | 42 | 97 | 26 | 7,500,000$/2yrs | |||
Brock Faber | 0 | D | 100.00 | 64 | 33 | 89 | 72 | 79 | 97 | 78 | 72 | 30 | 75 | 61 | 81 | 66 | 62 | 61 | 0 | 42 | 84 | 22 | 925,000$/1yrs | |||
Mario Ferraro | 38 | D | 100.00 | 71 | 33 | 84 | 62 | 80 | 94 | 90 | 67 | 30 | 65 | 56 | 86 | 61 | 68 | 67 | 0 | 42 | 79 | 26 | 3,000,000$/2yrs | |||
Mikey Anderson | 44 | D | 99.00 | 74 | 33 | 82 | 58 | 76 | 93 | 90 | 62 | 30 | 61 | 64 | 84 | 63 | 68 | 66 | 0 | 42 | 77 | 25 | 4,125,000$/7yrs | |||
Simon Edvinsson (R) | 3 | D | 100.00 | 66 | 34 | 87 | 65 | 87 | 91 | 90 | 60 | 30 | 64 | 61 | 82 | 60 | 61 | 60 | 0 | 62 | 77 | 21 | 894,167$/2yrs | |||
Vincent Desharnais | 0 | D | 100.00 | 75 | 47 | 76 | 55 | 89 | 82 | 90 | 59 | 30 | 60 | 52 | 77 | 56 | 72 | 70 | 0 | 43 | 74 | 28 | 1,750,000$/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 | 22 | 86 | 40 | 1,275,000$/1yrs | |||
TEAM AVERAGE | 99.74 | 68 | 37 | 82 | 71 | 80 | 86 | 88 | 71 | 59 | 72 | 70 | 72 | 71 | 71 | 73 | 0 | 42 | 82 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cam Talbot | 0 | 99.00 | 86 | 95 | 82 | 81 | 89 | 78 | 89 | 91 | 85 | 92 | 89 | 88 | 92 | 0 | 42 | 91 | 37 | 2,250,000$/2yrs |
Juuse Saros | 0 | 100.00 | 89 | 95 | 85 | 72 | 89 | 81 | 90 | 91 | 89 | 90 | 90 | 75 | 79 | 0 | 39 | 90 | 29 | 4,250,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 88 | 95 | 84 | 77 | 89 | 80 | 90 | 91 | 87 | 91 | 90 | 82 | 86 | 0 | 41 | 91 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kris Knoblauch | 87 | 87 | 97 | 87 | 66 | 62 | 83 | CAN | 45 | 5 | 1,000,000$ |
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 | 18 | 6 | 18 | 24 | -4 | 6 | 0 | 17 | 48 | 20 | 41 | 12.50% | 27 | 25.32 | 3 | 5 | 8 | 71 | 0 | 0 | 0 | 49 | 3 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 1.05 | 0 | 0 |
2 | Dylan Larkin | Red Wings | 71 | C/LW | 18 | 8 | 12 | 20 | 4 | 0 | 0 | 6 | 63 | 11 | 42 | 12.70% | 2 | 20.96 | 2 | 6 | 8 | 71 | 0 | 0 | 0 | 47 | 0 | 0 | 59.46% | 518 | 0 | 0 | 0 | 0 | 1.06 | 0 | 1 |
3 | Dylan Guenther | Red Wings | 0 | LW/RW | 18 | 9 | 9 | 18 | -1 | 4 | 0 | 10 | 82 | 14 | 45 | 10.98% | 2 | 17.48 | 1 | 4 | 5 | 70 | 0 | 0 | 0 | 0 | 3 | 0 | 56.25% | 16 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 |
4 | Matthew Tkachuk | Red Wings | 19 | LW/RW | 18 | 5 | 12 | 17 | 3 | 10 | 0 | 57 | 60 | 13 | 40 | 8.33% | 0 | 19.72 | 4 | 3 | 7 | 71 | 0 | 0 | 0 | 28 | 1 | 0 | 38.46% | 26 | 0 | 0 | 0 | 0 | 0.96 | 0 | 1 |
5 | Anze Kopitar | Red Wings | 0 | C | 18 | 4 | 12 | 16 | 3 | 0 | 0 | 0 | 82 | 21 | 34 | 4.88% | 4 | 19.40 | 0 | 6 | 6 | 60 | 0 | 0 | 0 | 48 | 0 | 0 | 56.55% | 481 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 |
6 | Brady Tkachuk | Red Wings | 7 | C/LW | 18 | 9 | 5 | 14 | 4 | 25 | 5 | 68 | 56 | 10 | 35 | 16.07% | 0 | 18.37 | 2 | 1 | 3 | 60 | 0 | 0 | 0 | 22 | 0 | 0 | 63.16% | 38 | 0 | 0 | 0 | 0 | 0.85 | 1 | 1 |
7 | Brock Faber | Red Wings | 0 | D | 18 | 5 | 9 | 14 | 6 | 14 | 0 | 22 | 28 | 8 | 15 | 17.86% | 26 | 23.96 | 4 | 2 | 6 | 68 | 0 | 0 | 0 | 51 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 |
8 | Mario Ferraro | Red Wings | 38 | D | 18 | 1 | 11 | 12 | 4 | 12 | 0 | 34 | 21 | 4 | 18 | 4.76% | 33 | 21.03 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 |
9 | Jesper Bratt | Red Wings | 0 | LW/RW | 18 | 2 | 9 | 11 | 2 | 0 | 0 | 1 | 51 | 15 | 35 | 3.92% | 1 | 16.04 | 0 | 2 | 2 | 24 | 0 | 0 | 0 | 19 | 0 | 0 | 47.83% | 23 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
10 | Michael Rasmussen | Red Wings | 0 | C/LW | 17 | 4 | 5 | 9 | 1 | 25 | 5 | 34 | 32 | 1 | 18 | 12.50% | 2 | 14.38 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 1 | 0 | 53.89% | 180 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
11 | Jason Robertson | Red Wings | 21 | LW | 18 | 5 | 3 | 8 | 3 | 0 | 0 | 6 | 36 | 16 | 32 | 13.89% | 0 | 15.14 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 18 | 0 | 0 | 1 | 0 | 0.59 | 0 | 1 |
12 | Dawson Mercer | Red Wings | 0 | C/RW | 18 | 2 | 4 | 6 | -1 | 0 | 0 | 9 | 40 | 9 | 21 | 5.00% | 1 | 16.89 | 1 | 0 | 1 | 61 | 0 | 0 | 0 | 0 | 0 | 0 | 47.26% | 146 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
13 | Mikey Anderson | Red Wings | 44 | D | 18 | 0 | 4 | 4 | -6 | 8 | 0 | 47 | 12 | 7 | 8 | 0.00% | 16 | 21.95 | 0 | 1 | 1 | 40 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
14 | Corey Perry | Red Wings | 0 | RW | 18 | 4 | 0 | 4 | 2 | 4 | 0 | 8 | 11 | 1 | 9 | 36.36% | 0 | 6.19 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 |
15 | Vincent Desharnais | Red Wings | 0 | D | 18 | 0 | 4 | 4 | 8 | 17 | 5 | 19 | 9 | 1 | 8 | 0.00% | 7 | 12.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
16 | Radek Faksa | Red Wings | 0 | C | 18 | 1 | 2 | 3 | 2 | 2 | 0 | 4 | 19 | 3 | 12 | 5.26% | 1 | 6.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 52.07% | 121 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
17 | Joe Veleno | Red Wings | 0 | C/RW | 18 | 0 | 1 | 1 | 2 | 4 | 0 | 14 | 4 | 0 | 8 | 0.00% | 0 | 6.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
18 | Simon Edvinsson | Red Wings | 3 | D | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 3 | 13.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
Team Total or Average | 308 | 65 | 121 | 186 | 33 | 131 | 15 | 356 | 655 | 154 | 423 | 9.92% | 125 | 16.57 | 17 | 32 | 49 | 670 | 0 | 0 | 0 | 404 | 9 | 1 | 55.55% | 1577 | 0 | 0 | 2 | 0 | 0.73 | 1 | 4 |
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 | 14 | 8 | 2 | 2 | 0.921 | 1.93 | 776 | 6 | 1 | 25 | 317 | 0 | 1 | 1 | 0.000 | 0 | 13 | 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 | 11 | 0 | 0 | 1 |
Team Total or Average | 23 | 11 | 7 | 3 | 0.896 | 2.90 | 1264 | 10 | 1 | 61 | 585 | 0 | 1 | 2 | 0.500 | 4 | 21 | 16 | 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 | 19,597,826$ |
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 | Devils | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 2 | 1.000 | 5 | 10 | 15 | 0 | 1 | 2 | 1 | 2 | 0 | 42 | 9 | 17 | 16 | 0 | 13 | 1 | 6 | 17 | 10 | 2 | 20.00% | 3 | 0 | 100.00% | 0 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 28 | 19 | 18 | 8 | 12 | 7 | 100.0% | 11.9% | 100.0% | 111.9 | LUCKY |
2 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 36 | 16 | 11 | 9 | 0 | 24 | 5 | 13 | 24 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 28 | 20 | 19 | 7 | 12 | 6 | 60.0% | 11.1% | 91.7% | 102.8 | LUCKY |
3 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 81 | 59 | 64 | 21 | 36 | 18 | 53.8% | 6.7% | 90.4% | 97.0 | Unlucky |
4 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 23 | 16 | 23 | 7 | 12 | 6 | 50.0% | 9.7% | 92.6% | 102.3 | LUCKY |
5 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 57 | 41 | 36 | 14 | 26 | 14 | 88.9% | 14.7% | 93.8% | 108.5 | LUCKY |
6 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 23 | 16 | 24 | 6 | 11 | 5 | 50.0% | 8.6% | 88.6% | 97.1 | Unlucky |
7 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 48 | 34 | 48 | 15 | 27 | 13 | 43.8% | 11.8% | 83.9% | 95.6 | FUN |
8 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 27 | 20 | 19 | 6 | 12 | 6 | 40.0% | 9.1% | 83.9% | 93.0 | FUN |
9 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 27 | 20 | 20 | 6 | 12 | 7 | 44.4% | 12.2% | 81.3% | 93.4 | FUN |
10 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 24 | 17 | 23 | 6 | 11 | 6 | 66.7% | 12.5% | 94.1% | 106.6 | LUCKY |
11 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 25 | 16 | 22 | 7 | 11 | 5 | 66.7% | 6.5% | 96.4% | 102.9 | DULL |
12 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 51 | 36 | 47 | 15 | 23 | 11 | 28.6% | 4.2% | 89.5% | 93.6 | Unlucky |
13 | 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 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 21 | 13 | 26 | 6 | 11 | 5 | 25.0% | 6.7% | 86.7% | 93.3 | Unlucky |
_Vs Division | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 11 | 1 | 5 | 0.833 | 12 | 23 | 35 | 0 | 0 | 3 | 3 | 6 | 1 | 116 | 49 | 32 | 30 | 9 | 90 | 36 | 16 | 66 | 10 | 3 | 30.00% | 8 | 1 | 87.50% | 0 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 74 | 51 | 71 | 22 | 39 | 19 | 47.4% | 10.3% | 87.8% | 98.1 | FUN | |
_Vs Conference | 10 | 5 | 2 | 0 | 0 | 2 | 0 | 1 | 31 | 27 | 4 | 13 | 0.650 | 31 | 59 | 90 | 1 | 1 | 14 | 5 | 12 | 1 | 371 | 136 | 110 | 117 | 12 | 267 | 84 | 75 | 207 | 46 | 7 | 15.22% | 34 | 4 | 88.24% | 0 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 264 | 187 | 220 | 75 | 124 | 63 | 51.1% | 8.4% | 89.9% | 98.2 | Unlucky | |
_Since Last GM Reset | 18 | 9 | 6 | 0 | 0 | 2 | 0 | 1 | 65 | 52 | 13 | 21 | 0.583 | 65 | 122 | 187 | 1 | 1 | 28 | 17 | 20 | 1 | 664 | 236 | 192 | 228 | 12 | 488 | 141 | 147 | 379 | 81 | 17 | 20.99% | 60 | 10 | 83.33% | 0 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 470 | 334 | 395 | 130 | 223 | 115 | 53.3% | 9.8% | 89.3% | 99.1 | FUN | |
Total | 18 | 9 | 6 | 0 | 0 | 2 | 0 | 1 | 65 | 52 | 13 | 21 | 0.583 | 65 | 122 | 187 | 1 | 1 | 28 | 17 | 20 | 1 | 664 | 236 | 192 | 228 | 12 | 488 | 141 | 147 | 379 | 81 | 17 | 20.99% | 60 | 10 | 83.33% | 0 | 398 | 717 | 55.51% | 316 | 564 | 56.03% | 163 | 284 | 57.39% | 470 | 334 | 395 | 130 | 223 | 115 | 53.3% | 9.8% | 89.3% | 99.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 26 |
Neutral Zone | 12 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 717 |
Neutral Zone Start | 284 |
Defensive Zone Start | 564 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 877 |
Faceoffs Lost | 688 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.1 | 9.57 |
2nd Period | 23.8 | 20.31 |
3rd Period | 36.4 | 30.68 |
Overtime | 37.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 47 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 6 |
Lost | 4 | 2 |
Overtime Lost | 1 | 2 |
PP Attempt | 81 |
---|---|
PP Goal | 17 |
PK Attempt | 60 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 36.9 |
Shots Against | 27.1 |
Goals For | 3.6 |
Goals Against | 2.9 |
Hits | 21.1 |
Shots Blocked | 7.8 |
Pim | 8.2 |
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 | 46319 | 38811 | 15172 | 30881 | 7534 |
Attendance PCT | 96.50% | 97.03% | 94.83% | 96.50% | 94.18% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 17340 - 96.33% | 1,587,691$ | 12,701,524$ | 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 |
---|---|---|---|
19,832,518$ | 420,094$ | 19,597,826$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
52,393,786$ | 150 | 425,196$ | 63,779,400$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
66,758,752$ | 82,338,334$ | 60,042,915$ | 45,677,949$ |
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 |
|