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Detroit Red Wings 5-1-2, 12pts · 5th 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 | 99.00 | 72 | 41 | 55 | 86 | 80 | 88 | 90 | 84 | 59 | 89 | 81 | 61 | 82 | 70 | 66 | 0 | 44 | 90 | 26 | 8,000,000$/3yrs | |||
Brady Tkachuk | 7 | C/LW | 99.00 | 90 | 55 | 50 | 83 | 89 | 87 | 90 | 79 | 79 | 78 | 83 | 60 | 81 | 67 | 77 | 0 | 44 | 88 | 25 | 6,500,000$/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 | 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$/1yrs | |||
Michael Rasmussen | 0 | C/LW | 100.00 | 76 | 38 | 76 | 65 | 88 | 81 | 85 | 68 | 76 | 68 | 66 | 78 | 67 | 68 | 65 | 0 | 32 | 78 | 25 | 3,200,000$/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$/2yrs | |||
Corey Perry | 0 | RW | 100.00 | 63 | 57 | 65 | 56 | 84 | 76 | 86 | 63 | 55 | 62 | 66 | 53 | 65 | 91 | 88 | 0 | 45 | 74 | 39 | 1,275,000$/1yrs | |||
Radek Faksa | 0 | C | 100.00 | 70 | 36 | 86 | 55 | 89 | 77 | 89 | 60 | 81 | 60 | 62 | 75 | 61 | 76 | 75 | 0 | 45 | 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 | 97.00 | 61 | 32 | 92 | 91 | 72 | 97 | 90 | 85 | 30 | 91 | 75 | 93 | 80 | 69 | 78 | 0 | 44 | 97 | 25 | 7,500,000$/2yrs | |||
Brock Faber | 0 | D | 98.00 | 64 | 33 | 89 | 72 | 79 | 97 | 78 | 72 | 30 | 75 | 61 | 81 | 66 | 62 | 61 | 0 | 44 | 84 | 22 | 925,000$/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$/2yrs | |||
Mikey Anderson | 44 | D | 99.00 | 78 | 33 | 91 | 59 | 76 | 90 | 88 | 65 | 30 | 64 | 54 | 81 | 60 | 67 | 66 | 0 | 44 | 78 | 25 | 4,125,000$/7yrs | |||
Niko Mikkola | 77 | D | 100.00 | 81 | 37 | 71 | 55 | 85 | 89 | 90 | 62 | 30 | 62 | 55 | 77 | 58 | 72 | 69 | 0 | 44 | 76 | 28 | 2,750,000$/4yrs | |||
Vincent Desharnais | 0 | D | 100.00 | 75 | 47 | 76 | 55 | 89 | 82 | 90 | 59 | 30 | 60 | 52 | 77 | 56 | 72 | 70 | 0 | 45 | 74 | 28 | 1,750,000$/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 | 32 | 86 | 40 | 1,275,000$/1yrs | |||
TEAM AVERAGE | 99.47 | 69 | 37 | 82 | 71 | 80 | 86 | 88 | 71 | 59 | 73 | 70 | 72 | 70 | 72 | 73 | 0 | 43 | 82 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cam Talbot | 0 | 100.00 | 86 | 95 | 82 | 81 | 89 | 78 | 89 | 91 | 85 | 92 | 89 | 88 | 92 | 0 | 41 | 91 | 37 | 2,250,000$/2yrs |
Juuse Saros | 0 | 99.00 | 89 | 95 | 85 | 72 | 89 | 81 | 90 | 91 | 89 | 90 | 90 | 75 | 79 | 0 | 43 | 90 | 29 | 4,250,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 88 | 95 | 84 | 77 | 89 | 80 | 90 | 91 | 87 | 91 | 90 | 82 | 86 | 0 | 42 | 91 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kris Knoblauch | 87 | 87 | 97 | 87 | 66 | 62 | 83 | CAN | 45 | 5 | 1,000,000$ |
General Manager | Jean-francois Claes |
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Priority | Type | Description |
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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 | 8 | 4 | 11 | 15 | 4 | 2 | 0 | 8 | 30 | 10 | 21 | 13.33% | 13 | 26.35 | 1 | 3 | 4 | 44 | 0 | 0 | 0 | 24 | 2 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 1.42 | 0 | 0 |
2 | Dylan Larkin | Red Wings | 71 | C/LW | 8 | 4 | 7 | 11 | 5 | 0 | 0 | 3 | 31 | 3 | 19 | 12.90% | 1 | 22.40 | 1 | 4 | 5 | 42 | 0 | 0 | 0 | 29 | 0 | 0 | 63.41% | 246 | 0 | 0 | 0 | 0 | 1.23 | 0 | 1 |
3 | Matthew Tkachuk | Red Wings | 19 | LW/RW | 8 | 3 | 7 | 10 | 4 | 8 | 0 | 24 | 29 | 7 | 23 | 10.34% | 0 | 21.82 | 3 | 2 | 5 | 42 | 0 | 0 | 0 | 25 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 1.15 | 0 | 1 |
4 | Anze Kopitar | Red Wings | 0 | C | 8 | 2 | 7 | 9 | 2 | 0 | 0 | 0 | 38 | 7 | 18 | 5.26% | 1 | 19.16 | 0 | 3 | 3 | 38 | 0 | 0 | 0 | 15 | 0 | 0 | 58.93% | 224 | 0 | 0 | 0 | 0 | 1.17 | 0 | 0 |
5 | Dylan Guenther | Red Wings | 0 | LW/RW | 8 | 3 | 6 | 9 | 0 | 0 | 0 | 6 | 35 | 8 | 13 | 8.57% | 1 | 17.81 | 1 | 3 | 4 | 42 | 0 | 0 | 0 | 0 | 2 | 0 | 57.14% | 7 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 |
6 | Mario Ferraro | Red Wings | 38 | D | 8 | 1 | 7 | 8 | 2 | 8 | 0 | 13 | 17 | 1 | 10 | 5.88% | 15 | 22.10 | 0 | 2 | 2 | 38 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 |
7 | Brock Faber | Red Wings | 0 | D | 8 | 3 | 4 | 7 | 5 | 6 | 0 | 14 | 14 | 1 | 7 | 21.43% | 7 | 25.73 | 3 | 1 | 4 | 44 | 0 | 0 | 0 | 22 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 |
8 | Brady Tkachuk | Red Wings | 7 | C/LW | 8 | 4 | 2 | 6 | 1 | 6 | 0 | 33 | 39 | 9 | 18 | 10.26% | 0 | 19.98 | 2 | 0 | 2 | 38 | 0 | 0 | 0 | 16 | 0 | 0 | 60.00% | 20 | 0 | 0 | 0 | 0 | 0.75 | 1 | 1 |
9 | Jason Robertson | Red Wings | 21 | LW | 8 | 3 | 2 | 5 | 4 | 0 | 0 | 3 | 18 | 5 | 16 | 16.67% | 0 | 12.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 7 | 0 | 0 | 0 | 0 | 0.98 | 0 | 1 |
10 | Corey Perry | Red Wings | 0 | RW | 8 | 4 | 0 | 4 | 3 | 2 | 0 | 4 | 9 | 0 | 6 | 44.44% | 0 | 6.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 1.67 | 0 | 0 |
11 | Jesper Bratt | Red Wings | 0 | LW/RW | 8 | 1 | 3 | 4 | 3 | 0 | 0 | 0 | 22 | 10 | 16 | 4.55% | 0 | 14.00 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
12 | Michael Rasmussen | Red Wings | 0 | C/LW | 7 | 2 | 1 | 3 | 1 | 0 | 0 | 10 | 16 | 0 | 6 | 12.50% | 0 | 12.30 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
13 | Radek Faksa | Red Wings | 0 | C | 8 | 1 | 2 | 3 | 3 | 2 | 0 | 3 | 7 | 1 | 8 | 14.29% | 1 | 5.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.00% | 50 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 |
14 | Dawson Mercer | Red Wings | 0 | C/RW | 8 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 21 | 6 | 10 | 4.76% | 1 | 17.34 | 0 | 0 | 0 | 38 | 0 | 0 | 0 | 0 | 0 | 0 | 47.52% | 141 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
15 | Mikey Anderson | Red Wings | 44 | D | 8 | 0 | 2 | 2 | 2 | 4 | 0 | 15 | 7 | 1 | 2 | 0.00% | 4 | 22.74 | 0 | 1 | 1 | 38 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 |
16 | Vincent Desharnais | Red Wings | 0 | D | 8 | 0 | 2 | 2 | 3 | 7 | 5 | 7 | 3 | 1 | 7 | 0.00% | 3 | 11.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 |
17 | Niko Mikkola | Red Wings | 77 | D | 8 | 0 | 1 | 1 | 3 | 6 | 0 | 13 | 6 | 2 | 3 | 0.00% | 5 | 12.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
18 | Joe Veleno | Red Wings | 0 | C/RW | 8 | 0 | 1 | 1 | 3 | 2 | 0 | 7 | 1 | 0 | 2 | 0.00% | 0 | 5.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
Team Total or Average | 143 | 36 | 67 | 103 | 48 | 53 | 5 | 167 | 343 | 72 | 205 | 10.50% | 52 | 16.49 | 11 | 20 | 31 | 411 | 0 | 0 | 0 | 194 | 5 | 1 | 56.93% | 722 | 0 | 0 | 1 | 0 | 0.87 | 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 | 8 | 5 | 1 | 1 | 0.907 | 2.02 | 445 | 4 | 1 | 15 | 161 | 0 | 1 | 1 | 0.000 | 0 | 8 | 0 | 0 | 0 | 0 |
2 | Juuse Saros | Red Wings | 4 | 2 | 1 | 1 | 0.883 | 3.84 | 219 | 2 | 0 | 14 | 120 | 0 | 0 | 1 | 0.500 | 4 | 3 | 6 | 0 | 0 | 1 |
Team Total or Average | 12 | 7 | 2 | 2 | 0.897 | 2.62 | 665 | 6 | 1 | 29 | 281 | 0 | 1 | 2 | 0.500 | 4 | 11 | 6 | 0 | 0 | 1 |
Projected Total Cap Hit | 84,069,998$ |
Projected Cap Space | 3,930,002$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 9,755,772$ |
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 | 25 | 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 |
Niko Mikkola | D | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
Radek Faksa | C | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
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 | ||||
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 | ||||||
Joel Hofer | G | 24 | 775,000$ | 775,000$ | 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 | ||||||
Kevin Mandolese | G | 24 | 800,000$ | 800,000$ | 800,000$ | 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 | ||||||
Mikael Diotte | D | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Nathan Gaucher | C | 20 | 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 | 21 | 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 | |||||
Simon Edvinsson | D | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
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 |
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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 | 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 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 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 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 28 | 20 | 19 | 7 | 12 | 6 | 60.0% | 11.1% | 91.7% | 102.8 | LUCKY |
3 | Rangers | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 1 | 0 | 76 | 25 | 24 | 24 | 3 | 46 | 16 | 16 | 37 | 10 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 58 | 43 | 40 | 14 | 23 | 12 | 57.1% | 5.3% | 91.3% | 96.6 | DULL |
4 | 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 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 57 | 41 | 36 | 14 | 26 | 14 | 88.9% | 14.7% | 93.8% | 108.5 | LUCKY |
5 | Sabres | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | -1 | 1 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 1 | 47 | 22 | 13 | 7 | 9 | 32 | 10 | 4 | 19 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 26 | 18 | 25 | 7 | 13 | 6 | 41.7% | 12.8% | 78.1% | 90.9 | FUN |
6 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 2 | 1 | 0 | 0 | 47 | 8 | 21 | 18 | 0 | 37 | 7 | 6 | 19 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 26 | 18 | 22 | 6 | 11 | 5 | 33.3% | 6.4% | 86.5% | 92.9 | Unlucky |
_Vs Division | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | -1 | 1 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 1 | 47 | 22 | 13 | 7 | 9 | 32 | 10 | 4 | 19 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 26 | 18 | 25 | 7 | 13 | 6 | 41.7% | 12.8% | 78.1% | 90.9 | FUN | |
_Vs Conference | 6 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 22 | 18 | 4 | 8 | 0.667 | 22 | 41 | 63 | 1 | 1 | 10 | 4 | 8 | 1 | 248 | 80 | 86 | 74 | 12 | 152 | 39 | 45 | 116 | 35 | 5 | 14.29% | 19 | 2 | 89.47% | 0 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 167 | 120 | 125 | 44 | 73 | 38 | 51.5% | 8.9% | 88.2% | 97.0 | Unlucky | |
_Since Last GM Reset | 8 | 5 | 1 | 0 | 0 | 1 | 0 | 1 | 36 | 20 | 16 | 12 | 0.750 | 36 | 67 | 103 | 1 | 1 | 17 | 8 | 11 | 1 | 343 | 123 | 105 | 107 | 12 | 184 | 52 | 57 | 169 | 47 | 11 | 23.40% | 25 | 3 | 88.00% | 0 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 225 | 162 | 162 | 58 | 99 | 52 | 59.5% | 10.5% | 89.1% | 99.6 | FUN | |
Total | 8 | 5 | 1 | 0 | 0 | 1 | 0 | 1 | 36 | 20 | 16 | 12 | 0.750 | 36 | 67 | 103 | 1 | 1 | 17 | 8 | 11 | 1 | 343 | 123 | 105 | 107 | 12 | 184 | 52 | 57 | 169 | 47 | 11 | 23.40% | 25 | 3 | 88.00% | 0 | 217 | 363 | 59.78% | 124 | 220 | 56.36% | 71 | 128 | 55.47% | 225 | 162 | 162 | 58 | 99 | 52 | 59.5% | 10.5% | 89.1% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 28 |
Neutral Zone | 12 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 363 |
Neutral Zone Start | 128 |
Defensive Zone Start | 220 |
Puck Time | |
---|---|
With Puck | 34 |
Without Puck | 26 |
Faceoffs | |
---|---|
Faceoffs Won | 412 |
Faceoffs Lost | 299 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 15.4 | 9.57 |
2nd Period | 28.5 | 20.31 |
3rd Period | 41.9 | 30.68 |
Overtime | 43.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.1 | 0.64 |
2nd Period | 3.1 | 1.65 |
3rd Period | 4.5 | 2.67 |
Overtime | 4.6 | 2.83 |
Even Strenght Goal | 24 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 3 |
Lost | 1 | 0 |
Overtime Lost | 1 | 1 |
PP Attempt | 47 |
---|---|
PP Goal | 11 |
PK Attempt | 25 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 42.9 |
Shots Against | 23.0 |
Goals For | 4.5 |
Goals Against | 2.5 |
Hits | 21.1 |
Shots Blocked | 6.5 |
Pim | 7.1 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,194,167$ | 0$ | 84,069,998$ | 3,805,833$ |
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 | 23328 | 19494 | 7643 | 15531 | 3900 |
Attendance PCT | 97.20% | 97.47% | 95.54% | 97.07% | 97.50% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
37 | 17474 - 97.08% | 1,604,921$ | 6,419,685$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,194,167$ | 84,194,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
9,873,118$ | 429,562$ | 9,755,772$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
59,382,086$ | 173 | 434,664$ | 75,196,872$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
78,390,864$ | 84,194,167$ | 64,171,368$ | 45,162,590$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
---|---|---|
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Nikishin | Red Wings | 2020 | 99 | ||
Anthony Romani | Red Wings | 2024 | 130 | ||
Axel Sandin Pellikka | Red Wings | 2023 | 9 | ||
Beckett Sennecke | Red Wings | 2024 | 14 | ||
Damian Clara | Red Wings | 2023 | 73 | ||
Etienne Morin | Red Wings | 2023 | 41 | ||
Gabe Perreault | Red Wings | 2023 | 15 | ||
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 | ||
Stian Solberg | Red Wings | 2024 | 21 | ||
Terik Parascak | Red Wings | 2024 | 26 | ||
Tij Iginla | Red Wings | 2024 | 5 | ||
Zayne Parekh | Red Wings | 2024 | 13 |
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