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Full Scoreboard »» |
Detroit Red Wings 12-10-3, 27pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 65 | 33 | 86 | 91 | 82 | 92 | 90 | 89 | 92 | 91 | 94 | 73 | 91 | 73 | 80 | 0 | 45 | 97 | 28 | 8,500,000$/2yrs | |||
![]() | 96 | C/LW/RW | 98.00 | 64 | 34 | 73 | 95 | 87 | 90 | 90 | 92 | 63 | 89 | 94 | 67 | 93 | 71 | 78 | 0 | 45 | 97 | 27 | 9,500,000$/4yrs | |||
![]() | 19 | LW/RW | 100.00 | 68 | 38 | 60 | 91 | 80 | 87 | 90 | 87 | 60 | 91 | 88 | 65 | 87 | 69 | 65 | 0 | 45 | 93 | 25 | 8,000,000$/4yrs | |||
![]() | 71 | C/LW | 100.00 | 63 | 49 | 50 | 86 | 78 | 88 | 90 | 85 | 89 | 90 | 80 | 79 | 83 | 72 | 82 | 0 | 45 | 92 | 27 | 8,500,000$/7yrs | |||
![]() | 7 | C/LW | 100.00 | 88 | 67 | 50 | 86 | 89 | 88 | 90 | 85 | 77 | 73 | 94 | 68 | 89 | 66 | 74 | 0 | 46 | 91 | 24 | 6,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 32 | 95 | 88 | 65 | 85 | 90 | 82 | 58 | 76 | 94 | 64 | 88 | 69 | 68 | 0 | 45 | 90 | 25 | 6,500,000$/2yrs | |||
![]() | 25 | LW/RW | 100.00 | 64 | 65 | 59 | 79 | 69 | 77 | 90 | 73 | 63 | 73 | 73 | 90 | 73 | 71 | 67 | 0 | 46 | 85 | 27 | 1,050,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 95 | 44 | 74 | 66 | 81 | 79 | 79 | 67 | 78 | 68 | 70 | 85 | 68 | 65 | 62 | 0 | 45 | 82 | 23 | 1,850,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 33 | 91 | 72 | 75 | 78 | 76 | 70 | 60 | 70 | 74 | 61 | 72 | 63 | 62 | 0 | 45 | 79 | 23 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 78 | 37 | 85 | 57 | 73 | 77 | 89 | 63 | 84 | 62 | 64 | 84 | 63 | 83 | 82 | 0 | 46 | 78 | 34 | 800,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 38 | 67 | 69 | 71 | 73 | 70 | 67 | 69 | 70 | 68 | 59 | 68 | 60 | 62 | 0 | 44 | 77 | 21 | 863,333$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 33 | 86 | 57 | 80 | 77 | 85 | 54 | 78 | 62 | 50 | 78 | 52 | 64 | 63 | 0 | 51 | 72 | 23 | 900,000$/2yrs | |||
![]() | 8 | D | 98.00 | 62 | 32 | 81 | 97 | 72 | 95 | 90 | 90 | 30 | 98 | 79 | 97 | 85 | 68 | 75 | 0 | 45 | 99 | 25 | 7,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 33 | 86 | 73 | 79 | 94 | 90 | 72 | 30 | 76 | 64 | 86 | 68 | 61 | 59 | 0 | 47 | 85 | 21 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 35 | 75 | 61 | 79 | 87 | 84 | 68 | 30 | 69 | 65 | 89 | 66 | 81 | 79 | 0 | 45 | 84 | 33 | 1,100,000$/2yrs | |||
![]() | 38 | D | 100.00 | 79 | 33 | 89 | 65 | 80 | 93 | 86 | 69 | 30 | 67 | 61 | 92 | 65 | 67 | 66 | 0 | 45 | 84 | 25 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 32 | 68 | 70 | 68 | 92 | 90 | 68 | 30 | 71 | 72 | 81 | 70 | 64 | 60 | 0 | 45 | 82 | 22 | 1,600,000$/2yrs | |||
![]() | 4 | D | 100.00 | 71 | 33 | 90 | 64 | 84 | 82 | 90 | 67 | 30 | 70 | 64 | 79 | 65 | 62 | 61 | 0 | 41 | 81 | 22 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.78 | 71 | 39 | 76 | 76 | 77 | 85 | 87 | 75 | 58 | 76 | 75 | 78 | 75 | 68 | 69 | 0 | 45 | 86 |
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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 88 | 95 | 82 | 91 | 93 | 90 | 93 | 94 | 93 | 95 | 93 | 67 | 71 | 0 | 31 | 93 | 24 | 5,000,000$/2yrs |
![]() | 52 | 98.00 | 72 | 77 | 73 | 84 | 84 | 85 | 84 | 87 | 89 | 86 | 84 | 65 | 69 | 0 | 52 | 85 | 24 | 2,000,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 80 | 86 | 78 | 88 | 89 | 88 | 89 | 91 | 91 | 91 | 89 | 66 | 70 | 0 | 42 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 83 | 73 | 87 | 87 | 67 | 63 | 73 | USA | 48 | 5 | 1,000,000$ |
General Manager | Jean-francois Claes |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leon Draisaitl | 0 | C/LW/RW | 25 | 7 | 20 | 27 | 1 | 8 | 0 | 34 | 107 | 40 | 82 | 6.54% | 4 | 21.11 | 1 | 4 | 5 | 97 | 0 | 0 | 0 | 26 | 1 | 1 | 49.67% | 604 | 0 | 0 | 0 | 0 | 1.02 | 2 | 4 | |
2 | Dylan Larkin | 71 | C/LW | 25 | 11 | 13 | 24 | 10 | 2 | 0 | 13 | 84 | 26 | 49 | 13.10% | 2 | 18.79 | 1 | 1 | 2 | 87 | 0 | 0 | 0 | 8 | 1 | 0 | 54.05% | 618 | 0 | 0 | 0 | 0 | 1.02 | 0 | 1 | |
3 | Mikko Rantanen | 96 | C/LW/RW | 25 | 12 | 11 | 23 | 0 | 20 | 0 | 33 | 99 | 21 | 90 | 12.12% | 2 | 20.29 | 1 | 4 | 5 | 97 | 0 | 0 | 0 | 9 | 0 | 1 | 48.94% | 94 | 0 | 0 | 1 | 1 | 0.91 | 3 | 3 | |
4 | Matthew Tkachuk | 19 | LW/RW | 25 | 9 | 11 | 20 | 3 | 12 | 0 | 35 | 84 | 15 | 46 | 10.71% | 0 | 19.31 | 2 | 2 | 4 | 95 | 0 | 0 | 0 | 3 | 0 | 0 | 43.59% | 39 | 0 | 0 | 0 | 0 | 0.83 | 0 | 3 | |
5 | Alex DeBrincat | 0 | C/LW/RW | 25 | 8 | 11 | 19 | 7 | 0 | 0 | 22 | 74 | 18 | 44 | 10.81% | 1 | 18.38 | 0 | 0 | 0 | 77 | 0 | 0 | 0 | 3 | 2 | 2 | 38.71% | 31 | 0 | 0 | 0 | 1 | 0.83 | 0 | 0 | |
6 | Cale Makar | 8 | D | 25 | 6 | 13 | 19 | 0 | 28 | 0 | 48 | 77 | 17 | 33 | 7.79% | 41 | 24.01 | 2 | 0 | 2 | 95 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
7 | Brady Tkachuk | 7 | C/LW | 25 | 9 | 9 | 18 | 11 | 33 | 5 | 90 | 65 | 16 | 47 | 13.85% | 4 | 18.93 | 1 | 1 | 2 | 80 | 1 | 0 | 1 | 14 | 2 | 1 | 50.00% | 52 | 0 | 0 | 0 | 0 | 0.76 | 1 | 2 | |
8 | Travis Hamonic | 0 | D | 25 | 1 | 9 | 10 | 9 | 10 | 0 | 38 | 19 | 6 | 19 | 5.26% | 28 | 17.74 | 0 | 2 | 2 | 30 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
9 | Mario Ferraro | 38 | D | 25 | 3 | 5 | 8 | 1 | 12 | 0 | 33 | 24 | 6 | 18 | 12.50% | 33 | 21.84 | 2 | 0 | 2 | 59 | 0 | 1 | 1 | 70 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
10 | Brock Faber | 0 | D | 15 | 0 | 8 | 8 | 4 | 15 | 5 | 5 | 12 | 4 | 8 | 0.00% | 14 | 18.77 | 0 | 1 | 1 | 28 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
11 | Jack McBain | 0 | C/LW | 25 | 1 | 6 | 7 | -4 | 24 | 0 | 57 | 30 | 6 | 33 | 3.33% | 9 | 13.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 1 | 0 | 46.78% | 171 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
12 | Logan O'Connor | 25 | LW/RW | 25 | 5 | 0 | 5 | -2 | 7 | 5 | 6 | 20 | 7 | 12 | 25.00% | 4 | 11.37 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 82 | 0 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
13 | Cam York | 0 | D | 25 | 1 | 3 | 4 | 5 | 10 | 0 | 29 | 14 | 4 | 10 | 7.14% | 15 | 19.50 | 0 | 0 | 0 | 54 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
14 | Braden Schneider | 4 | D | 8 | 0 | 3 | 3 | 0 | 0 | 0 | 9 | 4 | 3 | 5 | 0.00% | 7 | 14.94 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
15 | Jonatan Berggren | 0 | C/RW | 25 | 2 | 1 | 3 | -1 | 2 | 0 | 0 | 29 | 4 | 14 | 6.90% | 0 | 9.47 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 16 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
16 | Luke Glendening | 0 | C/LW/RW | 25 | 0 | 1 | 1 | 1 | 7 | 5 | 15 | 17 | 4 | 11 | 0.00% | 1 | 7.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 53.64% | 151 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
17 | Benoit-Olivier Groulx | 0 | C/LW | 5 | 0 | 1 | 1 | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 5.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
18 | Ridly Greig | 0 | C/LW | 15 | 0 | 0 | 0 | -1 | 23 | 5 | 15 | 5 | 0 | 6 | 0.00% | 0 | 7.92 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 20 | 0 | 0 | 83.33% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 393 | 75 | 125 | 200 | 45 | 215 | 25 | 482 | 766 | 197 | 527 | 9.79% | 165 | 16.74 | 10 | 15 | 25 | 823 | 1 | 1 | 2 | 501 | 9 | 5 | 50.69% | 1805 | 0 | 0 | 1 | 2 | 0.61 | 6 | 13 |
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 | Jake Oettinger | 20 | 9 | 8 | 2 | 0.883 | 3.45 | 1077 | 0 | 1 | 62 | 529 | 0 | 0 | 0 | 0.857 | 7 | 20 | 5 | 1 | 0 | 0 | |
2 | Pyotr Kochetkov | 9 | 3 | 2 | 1 | 0.905 | 2.57 | 443 | 2 | 0 | 19 | 200 | 0 | 0 | 2 | 0.714 | 7 | 5 | 20 | 0 | 0 | 0 | |
Team Total or Average | 29 | 12 | 10 | 3 | 0.889 | 3.20 | 1521 | 2 | 1 | 81 | 729 | 0 | 0 | 2 | 0.786 | 14 | 25 | 25 | 1 | 0 | 0 |
Projected Total Cap Hit | 77,275,648$ |
Projected Cap Space | 6,224,352$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 25,068,064$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Red Wings Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat | C/LW/RW | 25 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Benoit-Olivier Groulx ![]() | C/LW | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
Braden Schneider ![]() | D | 22 | 925,000$ | 925,000$ | RFA | ||||||
Brady Tkachuk | C/LW | 24 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Brock Faber ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Cale Makar | D | 25 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||||
Cam York ![]() | D | 22 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Dylan Larkin | C/LW | 27 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Jack McBain | C/LW | 23 | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | |||||
Jake Oettinger | G | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Jonatan Berggren ![]() | C/RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Leon Draisaitl | C/LW/RW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||||
Logan O'Connor ![]() | LW/RW | 27 | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | |||||
Luke Glendening ![]() | C/LW/RW | 34 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mario Ferraro | D | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Matthew Tkachuk | LW/RW | 25 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Mikko Rantanen | C/LW/RW | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Pyotr Kochetkov | G | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Ridly Greig ![]() | C/LW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Travis Hamonic | D | 33 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Laferriere ![]() | RW | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Antti Tuomisto ![]() | D | 22 | 867,500$ | 867,500$ | 867,500$ | ![]() | |||||
Brady Stonehouse ![]() | RW | 19 | 845,000$ | 845,000$ | 845,000$ | 845,000$ | RFA | ||||
Brennan Othmann ![]() | LW | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Carson Lambos ![]() | D | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Christian Kyrou ![]() | D | 20 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Colby Barlow ![]() | LW | 18 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Dalibor Dvorsky ![]() | C | 18 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
David Goyette ![]() | C | 19 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Djibril Toure ![]() | D | 20 | 805,000$ | 805,000$ | 805,000$ | 805,000$ | RFA | ||||
Filip Bystedt ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Jacob Perreault ![]() | C/RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Jonathan Toews ![]() | C | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Justus Annunen ![]() | G | 23 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Marco Kasper ![]() | C | 19 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Matthew Samoskevich ![]() | C/RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Maveric Lamoureux ![]() | D | 19 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Michael Buchinger ![]() | D | 19 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Nathan Gaucher ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Nikita Nesterenko ![]() | C/LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Raphael Lavoie ![]() | RW | 23 | 870,000$ | 870,000$ | RFA | ||||||
Rodion Amirov ![]() | LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Saige Weinstein ![]() | D | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | RFA | ||||
Samuel Laberge ![]() | LW | 26 | 775,000$ | 775,000$ | UFA | ||||||
Sebastian Cossa ![]() | G | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Simon Edvinsson ![]() | D | 20 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Valtteri Puustinen ![]() | LW/RW | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Vyacheslav Peksa ![]() | G | 21 | 851,667$ | 851,667$ | 851,667$ | 851,667$ | RFA | ||||
William Dufour ![]() | RW | 21 | 857,667$ | 856,167$ | 859,167$ | RFA | |||||
William Wallinder ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Zachary Bolduc ![]() | C | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Zachary L'Heureux ![]() | LW | 20 | 894,167$ | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 21 | 10 | 2 | 9 | 0 | 49 | 8 | 6 | 15 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 19 | 12 | 28 | 6 | 12 | 5 | 25.0% | 9.5% | 87.8% | 97.3 | FUN | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 10 | 16 | 0 | 1 | 1 | 3 | 2 | 0 | 54 | 19 | 14 | 21 | 0 | 55 | 5 | 14 | 46 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 52 | 37 | 42 | 13 | 25 | 12 | 66.7% | 11.1% | 92.7% | 103.8 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 2 | 0 | 2 | 0 | 63 | 23 | 19 | 21 | 0 | 47 | 12 | 16 | 37 | 11 | 1 | 9.09% | 8 | 2 | 75.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 56 | 40 | 38 | 13 | 25 | 13 | 50.0% | 6.3% | 89.4% | 95.7 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 12 | 8 | 11 | 0 | 29 | 11 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 24 | 17 | 22 | 6 | 12 | 6 | 33.3% | 6.5% | 86.2% | 92.7 | Unlucky | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 5 | 3 | 3 | 0 | 68 | 17 | 21 | 30 | 0 | 57 | 13 | 14 | 42 | 12 | 2 | 16.67% | 7 | 2 | 71.43% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 50 | 35 | 45 | 14 | 24 | 12 | 64.3% | 16.2% | 87.7% | 103.9 | FUN | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 3 | 0.750 | 9 | 14 | 23 | 0 | 0 | 4 | 2 | 3 | 0 | 83 | 24 | 26 | 32 | 1 | 47 | 12 | 21 | 40 | 12 | 0 | 0.00% | 8 | 4 | 50.00% | 1 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 50 | 35 | 46 | 15 | 25 | 13 | 75.0% | 10.8% | 85.1% | 95.9 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 11 | 13 | 8 | 0 | 23 | 10 | 16 | 21 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 27 | 19 | 20 | 6 | 12 | 6 | 25.0% | 3.1% | 82.6% | 85.7 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 37 | 9 | 22 | 6 | 0 | 28 | 7 | 4 | 26 | 7 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 25 | 17 | 21 | 7 | 12 | 7 | 60.0% | 8.1% | 92.9% | 101.0 | DULL | |
9 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 11 | 11 | 0 | 3 | 0.500 | 11 | 21 | 32 | 0 | 0 | 4 | 3 | 4 | 1 | 99 | 35 | 28 | 35 | 6 | 78 | 26 | 26 | 71 | 11 | 2 | 18.18% | 12 | 2 | 83.33% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 73 | 53 | 72 | 22 | 38 | 18 | 50.0% | 11.1% | 85.9% | 97.0 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 0 | 1 | 1 | 0 | 29 | 6 | 11 | 12 | 0 | 41 | 7 | 10 | 23 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 25 | 18 | 22 | 6 | 11 | 5 | 40.0% | 6.9% | 90.2% | 97.1 | Unlucky | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 7 | 13 | 0 | 0 | 1 | 3 | 1 | 2 | 31 | 9 | 9 | 10 | 5 | 26 | 13 | 19 | 22 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 27 | 20 | 23 | 7 | 13 | 6 | 55.6% | 19.4% | 80.8% | 100.1 | FUN | |
12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 14 | 6 | 11 | 1 | 33 | 11 | 10 | 29 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 22 | 14 | 25 | 7 | 13 | 6 | 50.0% | 6.3% | 90.9% | 97.2 | Unlucky | |
13 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 74 | 29 | 24 | 20 | 1 | 67 | 12 | 22 | 37 | 8 | 1 | 12.50% | 11 | 4 | 63.64% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 44 | 30 | 52 | 17 | 26 | 12 | 80.0% | 6.8% | 92.5% | 99.3 | DULL | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 11 | 13 | 13 | 0 | 29 | 14 | 8 | 25 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 22 | 15 | 24 | 6 | 12 | 6 | 33.3% | 2.7% | 86.2% | 88.9 | Unlucky | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 1 | 1 | 40 | 11 | 14 | 9 | 8 | 33 | 4 | 36 | 25 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 26 | 18 | 24 | 7 | 13 | 7 | 66.7% | 10.0% | 90.9% | 100.9 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 9 | 16 | 0 | 0 | 30 | 10 | 10 | 19 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 18 | 12 | 29 | 7 | 11 | 5 | 0.0% | 4.0% | 93.3% | 97.3 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 32 | 9 | 9 | 14 | 0 | 29 | 17 | 2 | 19 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 25 | 18 | 21 | 7 | 12 | 6 | 50.0% | 18.8% | 82.8% | 101.5 | FUN | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 2 | 38 | 14 | 15 | 8 | 5 | 30 | 11 | 8 | 21 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 24 | 17 | 26 | 7 | 13 | 6 | 60.0% | 10.5% | 90.0% | 100.5 | FUN | |
_Vs Division | 11 | 4 | 3 | 0 | 0 | 2 | 1 | 1 | 35 | 35 | 0 | 13 | 0.591 | 35 | 59 | 94 | 2 | 0 | 12 | 9 | 13 | 2 | 383 | 122 | 126 | 126 | 16 | 307 | 79 | 123 | 251 | 48 | 3 | 6.25% | 44 | 11 | 75.00% | 1 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 281 | 197 | 251 | 81 | 140 | 72 | 57.1% | 9.1% | 88.6% | 97.7 | FUN | |
_Vs Conference | 19 | 7 | 7 | 0 | 1 | 2 | 1 | 1 | 60 | 57 | 3 | 21 | 0.553 | 60 | 102 | 162 | 2 | 1 | 21 | 17 | 20 | 3 | 635 | 208 | 209 | 208 | 17 | 545 | 130 | 189 | 416 | 81 | 7 | 8.64% | 77 | 19 | 75.32% | 1 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 471 | 331 | 443 | 141 | 241 | 121 | 58.2% | 9.4% | 89.5% | 99.0 | FUN | |
_Since Last GM Reset | 25 | 8 | 10 | 0 | 1 | 2 | 3 | 1 | 80 | 84 | -4 | 27 | 0.540 | 80 | 132 | 212 | 2 | 1 | 25 | 28 | 23 | 7 | 826 | 272 | 270 | 270 | 27 | 731 | 203 | 248 | 539 | 101 | 10 | 9.90% | 95 | 24 | 74.74% | 1 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 619 | 435 | 590 | 183 | 317 | 159 | 53.8% | 9.7% | 88.5% | 98.2 | FUN | |
Total | 25 | 8 | 10 | 0 | 1 | 2 | 3 | 1 | 80 | 84 | -4 | 27 | 0.540 | 80 | 132 | 212 | 2 | 1 | 25 | 28 | 23 | 7 | 826 | 272 | 270 | 270 | 27 | 731 | 203 | 248 | 539 | 101 | 10 | 9.90% | 95 | 24 | 74.74% | 1 | 473 | 906 | 52.21% | 435 | 873 | 49.83% | 207 | 411 | 50.36% | 619 | 435 | 590 | 183 | 317 | 159 | 53.8% | 9.7% | 88.5% | 98.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 906 |
Neutral Zone Start | 411 |
Defensive Zone Start | 873 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1115 |
Faceoffs Lost | 1075 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 67 |
---|---|
PP Goal | 10 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 5 | 7 |
Lost | 7 | 3 |
Overtime Lost | 2 | 1 |
PP Attempt | 101 |
---|---|
PP Goal | 10 |
PK Attempt | 95 |
PK Goal Against | 24 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 29.2 |
Goals For | 3.2 |
Goals Against | 3.4 |
Hits | 21.6 |
Shots Blocked | 8.1 |
Pim | 9.9 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-12 | @ | Red Wings3,Devils0 | RECAP | |||||||||||
2023-10-14 | @ | Lightning2,Red Wings3 | RECAP | |||||||||||
2023-10-16 | @ | Red Wings4,Blue Jackets3 (OT) | RECAP | |||||||||||
2023-10-18 | @ | Penguins2,Red Wings1 | RECAP | |||||||||||
2023-10-21 | @ | Red Wings1,Senators4 | RECAP | |||||||||||
2023-10-22 | @ | Flames6,Red Wings2 | RECAP | |||||||||||
2023-10-24 | @ | Kraken3,Red Wings4 (SO) | RECAP | |||||||||||
2023-10-26 | @ | Jets4,Red Wings1 | RECAP | |||||||||||
2023-10-28 | @ | Red Wings3,Bruins4 (SO) | RECAP | |||||||||||
2023-10-30 | @ | Red Wings2,Islanders4 | RECAP | |||||||||||
2023-11-02 | @ | Panthers3,Red Wings2 (OT) | RECAP | |||||||||||
2023-11-04 | @ | Bruins3,Red Wings2 | RECAP | |||||||||||
2023-11-07 | @ | Red Wings7,Rangers5 | RECAP | |||||||||||
2023-11-09 | @ | Canadiens6,Red Wings5 (OT) | RECAP | |||||||||||
2023-11-11 | @ | Blue Jackets2,Red Wings1 | RECAP | |||||||||||
2023-11-16 | @ | Red Wings3,Senators1 | RECAP | |||||||||||
2023-11-17 | @ | Maple Leafs3,Red Wings4 (SO) | RECAP | |||||||||||
2023-11-22 | @ | Devils4,Red Wings3 | RECAP | |||||||||||
2023-11-24 | @ | Red Wings6,Bruins4 | RECAP | |||||||||||
2023-11-26 | @ | Wild4,Red Wings1 | RECAP | |||||||||||
2023-11-29 | @ | Red Wings4,Rangers2 | RECAP | |||||||||||
2023-11-30 | @ | Blackhawks5,Red Wings6 (SO) | RECAP | |||||||||||
2023-12-02 | @ | Red Wings4,Canadiens1 | RECAP | |||||||||||
2023-12-05 | @ | Red Wings2,Sabres4 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,938,333$ | 0$ | 77,275,648$ | 7,561,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Joe Louis Arena | |
City | Detroit | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 78642 | 66343 | 26712 | 53740 | 13170 |
Attendance PCT | 93.62% | 94.78% | 95.40% | 95.96% | 94.07% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 17043 - 94.69% | 1,496,179$ | 20,946,501$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,938,333$ | 75,938,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
25,380,565$ | 395,512$ | 25,068,064$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
40,396,823$ | 132 | 400,720$ | 52,895,040$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,143,735$ | 75,938,333$ | 31,924,143$ | 17,177,231$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2024 | ||||||||
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Priority | Type | Description |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
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8 | * | Wildcard for zero or more non-space characters. |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Andrew Gibson | 2023 | 69 | |||
Axel Sandin Pellikka | 2023 | 9 | |||
Brady Cleveland | 2023 | 71 | |||
Ethan Gauthier | 2023 | 25 | |||
Gabe Perreault | 2023 | 15 | |||
Isaac Howard | 2022 | 19 | |||
Josh Davies | 2022 | 215 | |||
Mathieu Cataford | 2023 | 64 | |||
Matthew Wood | 2023 | 14 | |||
Rudy Guimond | 2023 | 196 | |||
Tristan Bertucci | 2023 | 75 |