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Full Scoreboard »» |
Detroit Red Wings 4-5-0, 8pts · 8th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 14 | C | 100.00 | 62 | 42 | 83 | 80 | 86 | 91 | 89 | 78 | 88 | 81 | 79 | 83 | 77 | 75 | 78 | 0 | 81 | 89 | 28 | 4,333,333$/2yrs | |||
![]() | 28 | C/RW | 100.00 | 76 | 39 | 86 | 78 | 76 | 85 | 89 | 77 | 83 | 80 | 79 | 85 | 78 | 71 | 73 | 0 | 80 | 88 | 26 | 4,850,000$/4yrs | |||
![]() | 19 | LW/RW | 100.00 | 81 | 59 | 68 | 82 | 81 | 83 | 88 | 79 | 56 | 81 | 80 | 63 | 79 | 65 | 71 | 0 | 80 | 88 | 23 | 8,000,000$/7yrs | |||
![]() | 90 | C | 100.00 | 54 | 47 | 85 | 77 | 81 | 87 | 91 | 76 | 90 | 85 | 73 | 90 | 74 | 77 | 80 | 0 | 80 | 88 | 30 | 7,500,000$/3yrs | |||
![]() | 43 | RW | 100.00 | 97 | 75 | 56 | 72 | 90 | 83 | 84 | 71 | 58 | 73 | 77 | 84 | 69 | 71 | 76 | 0 | 78 | 86 | 27 | 5,166,666$/4yrs | |||
![]() | 91 | C | 100.00 | 74 | 49 | 60 | 76 | 76 | 82 | 85 | 78 | 92 | 74 | 79 | 60 | 79 | 79 | 72 | 0 | 77 | 85 | 30 | 4,500,000$/2yrs | |||
![]() | 7 | LW | 100.00 | 96 | 67 | 61 | 77 | 89 | 83 | 86 | 75 | 68 | 74 | 76 | 63 | 77 | 61 | 64 | 0 | 80 | 84 | 21 | 925,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 42 | 73 | 76 | 70 | 80 | 88 | 79 | 58 | 78 | 79 | 60 | 79 | 69 | 67 | 0 | 53 | 84 | 24 | 5,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 54 | 78 | 68 | 70 | 79 | 77 | 65 | 59 | 70 | 70 | 87 | 68 | 80 | 73 | 0 | 69 | 82 | 31 | 2,850,000$/1yrs | |||
![]() | 55 | C/LW/RW | 100.00 | 85 | 42 | 92 | 61 | 72 | 77 | 85 | 63 | 82 | 57 | 72 | 90 | 68 | 78 | 78 | 0 | 82 | 81 | 29 | 1,666,667$/2yrs | |||
![]() | 65 | LW/RW | 100.00 | 61 | 38 | 89 | 67 | 82 | 84 | 70 | 66 | 53 | 76 | 69 | 81 | 67 | 71 | 65 | 0 | 80 | 81 | 26 | 1,645,000$/2yrs | |||
![]() | 22 | C/LW/RW | 100.00 | 83 | 40 | 86 | 61 | 74 | 76 | 85 | 64 | 77 | 63 | 57 | 84 | 61 | 78 | 70 | 0 | 88 | 78 | 30 | 1,000,000$/2yrs | |||
![]() | 77 | D | 100.00 | 71 | 48 | 77 | 75 | 98 | 90 | 85 | 76 | 30 | 87 | 73 | 87 | 59 | 78 | 80 | 0 | 80 | 90 | 30 | 7,875,000$/5yrs | |||
![]() | 8 | D | 100.00 | 65 | 39 | 88 | 78 | 70 | 87 | 79 | 76 | 30 | 88 | 77 | 64 | 59 | 63 | 66 | 0 | 80 | 89 | 22 | 880,833$/6yrs | |||
![]() | 4 | D | 100.00 | 69 | 39 | 86 | 77 | 66 | 90 | 84 | 76 | 30 | 83 | 69 | 90 | 58 | 77 | 79 | 0 | 82 | 89 | 30 | 6,250,000$/7yrs | |||
![]() | 5 | D | 100.00 | 64 | 40 | 86 | 74 | 77 | 91 | 85 | 72 | 30 | 76 | 68 | 86 | 57 | 88 | 94 | 0 | 66 | 87 | 37 | 6,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 46 | 88 | 63 | 77 | 85 | 88 | 62 | 30 | 72 | 53 | 80 | 45 | 78 | 68 | 0 | 59 | 80 | 30 | 2,500,000$/3yrs | |||
![]() | 4 | D | 100.00 | 57 | 41 | 87 | 63 | 80 | 85 | 73 | 62 | 30 | 67 | 60 | 81 | 52 | 84 | 74 | 0 | 95 | 79 | 34 | 1,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 47 | 79 | 73 | 79 | 84 | 84 | 72 | 58 | 76 | 72 | 79 | 67 | 75 | 74 | 0 | 77 | 85 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 100.00 | 87 | 88 | 86 | 97 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 85 | 89 | 0 | 64 | 88 | 34 | 4,916,666$/3yrs |
![]() | 90 | 100.00 | 84 | 70 | 68 | 81 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 71 | 75 | 0 | 81 | 82 | 25 | 2,750,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 86 | 79 | 77 | 89 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 78 | 82 | 0 | 73 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 82 | 92 | 79 | 88 | 84 | 78 | 63 | CAN | 56 | 3 | 500,000$ |
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan O'Reilly | 90 | C | 9 | 6 | 7 | 13 | 3 | 5 | 5 | 4 | 26 | 12 | 20 | 23.08% | 1 | 23.01 | 1 | 4 | 5 | 34 | 0 | 0 | 0 | 41 | 1 | 0 | 55.90% | 288 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 | ||
2 | Elias Lindholm | 28 | C/RW | 9 | 4 | 5 | 9 | 1 | 6 | 0 | 23 | 34 | 8 | 22 | 11.76% | 3 | 22.09 | 1 | 2 | 3 | 30 | 0 | 0 | 0 | 37 | 1 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | ||
3 | Matthew Tkachuk | 19 | LW/RW | 9 | 5 | 4 | 9 | 0 | 10 | 0 | 7 | 22 | 6 | 23 | 22.73% | 1 | 18.72 | 3 | 2 | 5 | 33 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 12 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | ||
4 | Sean Couturier | 14 | C | 9 | 2 | 7 | 9 | 0 | 0 | 0 | 0 | 29 | 15 | 21 | 6.90% | 1 | 19.27 | 0 | 5 | 5 | 33 | 0 | 0 | 0 | 0 | 1 | 0 | 51.56% | 256 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 | ||
5 | Ryan Ellis | 4 | D | 9 | 2 | 6 | 8 | 4 | 4 | 0 | 13 | 13 | 2 | 6 | 15.38% | 16 | 20.28 | 1 | 0 | 1 | 13 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | ||
6 | Kevin Fiala | 0 | LW/RW | 9 | 3 | 3 | 6 | 1 | 2 | 0 | 7 | 19 | 1 | 8 | 15.79% | 0 | 17.61 | 2 | 0 | 2 | 29 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
7 | Tom Wilson | 43 | RW | 9 | 2 | 3 | 5 | -1 | 13 | 5 | 32 | 25 | 7 | 18 | 8.00% | 1 | 18.97 | 2 | 2 | 4 | 33 | 0 | 0 | 0 | 0 | 0 | 0 | 53.85% | 13 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
8 | Victor Hedman | 77 | D | 9 | 1 | 4 | 5 | -5 | 16 | 0 | 27 | 18 | 10 | 11 | 5.56% | 3 | 24.78 | 1 | 3 | 4 | 33 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
9 | Brady Tkachuk | 7 | LW | 9 | 0 | 1 | 1 | -3 | 6 | 0 | 20 | 14 | 4 | 14 | 0.00% | 1 | 11.82 | 0 | 1 | 1 | 11 | 0 | 0 | 0 | 11 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
10 | Cale Makar | 8 | D | 9 | 0 | 1 | 1 | -5 | 0 | 0 | 8 | 11 | 5 | 8 | 0.00% | 6 | 23.81 | 0 | 1 | 1 | 37 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | ||
11 | Mark Giordano | 5 | D | 9 | 0 | 1 | 1 | 3 | 10 | 0 | 12 | 5 | 4 | 2 | 0.00% | 12 | 20.42 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | ||
12 | Matt Calvert | 0 | LW/RW | 9 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 7 | 1 | 5 | 0.00% | 0 | 10.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 35.00% | 20 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
13 | Nazem Kadri | 91 | C | 9 | 1 | 0 | 1 | -6 | 6 | 0 | 8 | 13 | 4 | 7 | 7.69% | 1 | 11.09 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 2 | 0 | 0 | 57.14% | 126 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
14 | Nick Jensen | 0 | D | 8 | 0 | 1 | 1 | -3 | 5 | 5 | 6 | 3 | 1 | 0 | 0.00% | 5 | 16.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
15 | Ilya Mikheyev | 65 | LW/RW | 8 | 0 | 1 | 1 | -5 | 0 | 0 | 0 | 8 | 3 | 9 | 0.00% | 1 | 8.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
16 | Carl Gunnarsson | 4 | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 12.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Noel Acciari | 55 | C/LW/RW | 9 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 9 | 4 | 7 | 0.00% | 0 | 8.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Ryan Carpenter | 22 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 144 | 26 | 45 | 71 | -18 | 85 | 15 | 171 | 256 | 87 | 181 | 10.16% | 53 | 17.17 | 11 | 20 | 31 | 316 | 0 | 0 | 0 | 229 | 4 | 0 | 52.69% | 744 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
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 | Ben Bishop | 9 | 4 | 4 | 1 | 0.888 | 3.13 | 480 | 0 | 1 | 25 | 224 | 0 | 0 | 0 | 0.000 | 0 | 9 | 0 | 0 | 1 | 0 | |
2 | Ilya Sorokin | 2 | 0 | 0 | 0 | 0.939 | 1.79 | 67 | 0 | 0 | 2 | 33 | 0 | 0 | 0 | 0.000 | 0 | 0 | 9 | 0 | 0 | 0 | |
Team Total or Average | 11 | 4 | 4 | 1 | 0.895 | 2.96 | 547 | 0 | 1 | 27 | 257 | 0 | 0 | 0 | 0.000 | 0 | 9 | 9 | 0 | 1 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 81,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Red Wings Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Bishop | G | 34 | 4,916,666$ | 4,916,666$ | 4,916,666$ | 4,916,666$ | UFA | ||||
Brady Tkachuk ![]() | LW | 21 | 925,000$ | 925,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA |
Cale Makar ![]() | D | 22 | 880,833$ | 880,833$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |
Carl Gunnarsson ![]() | D | 34 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Elias Lindholm | C/RW | 26 | 4,850,000$ | 4,850,000$ | 4,850,000$ | 4,850,000$ | 4,850,000$ | UFA | |||
Ilya Mikheyev | LW/RW | 26 | 1,645,000$ | 1,645,000$ | 1,645,000$ | UFA | |||||
Ilya Sorokin ![]() | G | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Kevin Fiala | LW/RW | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Mark Giordano | D | 37 | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
Matt Calvert | LW/RW | 31 | 2,850,000$ | 2,850,000$ | UFA | ||||||
Matthew Tkachuk | LW/RW | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA |
Nazem Kadri | C | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Nick Jensen | D | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Noel Acciari | C/LW/RW | 29 | 1,666,667$ | 1,666,667$ | 1,666,667$ | UFA | |||||
Ryan Carpenter ![]() | C/LW/RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Ryan Ellis | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA |
Ryan O'Reilly | C | 30 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||||
Sean Couturier | C | 28 | 4,333,333$ | 4,333,333$ | 4,333,333$ | UFA | |||||
Tom Wilson | RW | 27 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | |||
Victor Hedman | D | 30 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Greco ![]() | LW/RW | 27 | 700,000$ | 700,000$ | 700,000$ | UFA | |||||
Arttu Ruotsalainen ![]() | C/LW | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Brayden Tracey ![]() | LW | 19 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Bryce Kindopp ![]() | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Cooper Zech ![]() | D | 22 | 700,000$ | 700,000$ | RFA | ||||||
Curtis Hall ![]() | C | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Damien Riat ![]() | C/LW/RW | 24 | 817,500$ | 817,500$ | 817,500$ | ![]() | |||||
Ethan Prow ![]() | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Filip Hallander ![]() | C | 20 | 778,333$ | 778,333$ | 778,333$ | RFA | |||||
Filip Larsson ![]() | G | 22 | 836,666$ | 836,666$ | 836,666$ | RFA | |||||
Gilles Senn ![]() | G | 25 | 817,500$ | 817,500$ | ![]() | ||||||
Jacob Bryson ![]() | D | 23 | 700,000$ | 700,000$ | RFA | ||||||
Jacob Perreault ![]() | C | 19 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jeremy Brodeur ![]() | G | 22 | 700,000$ | 700,000$ | RFA | ||||||
Jesper Sellgren ![]() | D | 22 | 803,333$ | 803,333$ | 803,333$ | ![]() | |||||
Joe Veleno ![]() | C/RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Joey Daccord ![]() | G | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Justin Richards ![]() | C/RW | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Justus Annunen ![]() | G | 21 | 880,833$ | 880,833$ | 880,833$ | 880,833$ | RFA | ||||
Marc Michaelis ![]() | C/LW | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Mario Ferraro ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Mathias Bromé ![]() | LW/RW | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Matthew Robertson ![]() | D | 20 | 825,833$ | 825,833$ | 825,833$ | RFA | |||||
Mattias Samuelsson ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Mitchell Chaffee ![]() | RW | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Nathan Beaulieu ![]() | D | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Nathan Clurman ![]() | D | 22 | 842,500$ | 842,500$ | 842,500$ | 842,500$ | ![]() | ||||
Nic Dowd ![]() | C/RW | 30 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Nico Sturm ![]() | C/LW | 25 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Owen Tippett ![]() | LW/RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Peter Diliberatore ![]() | D | 21 | 880,833$ | 880,833$ | 880,833$ | 880,833$ | RFA | ||||
Tarmo Reunanen ![]() | D | 23 | 809,167$ | 809,167$ | 809,167$ | ![]() | |||||
Tim Berni ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Timothy Liljegren ![]() | D | 21 | 894,166$ | 894,166$ | RFA | ||||||
Victor Mete ![]() | D | 22 | 735,000$ | 735,000$ | RFA | ||||||
Wyatt Kalynuk ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Zach Aston-Reese ![]() | LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,350,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 3 | 2 | 0 | 0 | 51 | 21 | 18 | 12 | 0 | 61 | 18 | 25 | 34 | 12 | 4 | 33.33% | 9 | 3 | 66.67% | 0 | 172 | 337 | 51.04% | 183 | 337 | 54.30% | 77 | 153 | 50.33% | 46 | 31 | 48 | 15 | 25 | 12 | 12.5% | 9.8% | 83.6% | 93.4 | FUN | |
2 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 21 | 17 | 4 | 8 | 0.571 | 21 | 36 | 57 | 0 | 1 | 7 | 6 | 8 | 0 | 216 | 66 | 73 | 75 | 2 | 196 | 44 | 74 | 169 | 30 | 7 | 23.33% | 30 | 5 | 83.33% | 0 | 172 | 337 | 51.04% | 183 | 337 | 54.30% | 77 | 153 | 50.33% | 183 | 127 | 155 | 53 | 89 | 45 | 53.8% | 9.7% | 91.3% | 101.0 | LUCKY | |
_Vs Division | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 26 | 27 | -1 | 8 | 0.444 | 26 | 46 | 72 | 0 | 1 | 10 | 8 | 8 | 0 | 267 | 87 | 91 | 87 | 2 | 257 | 62 | 99 | 203 | 42 | 11 | 26.19% | 39 | 8 | 79.49% | 0 | 172 | 337 | 51.04% | 183 | 337 | 54.30% | 77 | 153 | 50.33% | 229 | 158 | 203 | 69 | 114 | 58 | 44.1% | 9.7% | 89.5% | 99.2 | FUN | |
_Vs Conference | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 26 | 27 | -1 | 8 | 0.444 | 26 | 46 | 72 | 0 | 1 | 10 | 8 | 8 | 0 | 267 | 87 | 91 | 87 | 2 | 257 | 62 | 99 | 203 | 42 | 11 | 26.19% | 39 | 8 | 79.49% | 0 | 172 | 337 | 51.04% | 183 | 337 | 54.30% | 77 | 153 | 50.33% | 229 | 158 | 203 | 69 | 114 | 58 | 44.1% | 9.7% | 89.5% | 99.2 | FUN | |
_Since Last GM Reset | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 26 | 27 | -1 | 8 | 0.444 | 26 | 46 | 72 | 0 | 1 | 10 | 8 | 8 | 0 | 267 | 87 | 91 | 87 | 2 | 257 | 62 | 99 | 203 | 42 | 11 | 26.19% | 39 | 8 | 79.49% | 0 | 172 | 337 | 51.04% | 183 | 337 | 54.30% | 77 | 153 | 50.33% | 229 | 158 | 203 | 69 | 114 | 58 | 44.1% | 9.7% | 89.5% | 99.2 | FUN | |
Total | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 26 | 27 | -1 | 8 | 0.444 | 26 | 46 | 72 | 0 | 1 | 10 | 8 | 8 | 0 | 267 | 87 | 91 | 87 | 2 | 257 | 62 | 99 | 203 | 42 | 11 | 26.19% | 39 | 8 | 79.49% | 0 | 172 | 337 | 51.04% | 183 | 337 | 54.30% | 77 | 153 | 50.33% | 229 | 158 | 203 | 69 | 114 | 58 | 44.1% | 9.7% | 89.5% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 337 |
Neutral Zone Start | 153 |
Defensive Zone Start | 337 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 432 |
Faceoffs Lost | 395 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 29.4 | 30.68 |
Overtime | 29.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 3 |
Lost | 2 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 42 |
---|---|
PP Goal | 11 |
PK Attempt | 39 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 29.7 |
Shots Against | 28.6 |
Goals For | 2.9 |
Goals Against | 3.0 |
Hits | 22.6 |
Shots Blocked | 6.9 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2021-03-31 | @ | Red Wings3,Bruins1 | RECAP | |||||||||||
2021-04-02 | @ | Red Wings2,Bruins3 (OT) | RECAP | |||||||||||
2021-04-04 | @ | Bruins5,Red Wings2 | RECAP | |||||||||||
2021-04-06 | @ | Bruins4,Red Wings2 | RECAP | |||||||||||
2021-04-08 | @ | Red Wings4,Bruins3 | RECAP | |||||||||||
2021-04-10 | @ | Bruins0,Red Wings4 | RECAP | |||||||||||
2021-04-12 | @ | Red Wings4,Bruins1 | RECAP | |||||||||||
2021-04-14 | @ | Red Wings2,Lightning5 | RECAP | |||||||||||
2021-04-16 | @ | Red Wings3,Lightning5 | RECAP | |||||||||||
2021-04-18 | @ | |||||||||||||
2021-04-20 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-04-22 | @ | |||||||||||||
2021-04-24 | @ | |||||||||||||
2021-04-26 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,309,165$ | 0$ | 0$ | 1,190,835$ |
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 | 18000 | 15000 | 6000 | 12000 | 3000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 18000 - 100.00% | 1,587,500$ | 4,762,500$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,309,165$ | 80,309,165$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 80,309,165$ | 47,417,427$ | 47,417,427$ |
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 |
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2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
---|---|---|---|---|---|
Aidan McDonough | 2019 | 184 | 6.0 - 6.0 | ||
Albin Eriksson | 6.5 - 6.0 | ||||
Alex Laferriere | 2020 | 152 | |||
Anttoni Honka | 2019 | 68 | |||
Artem Shlaine | 2020 | 202 | |||
Braden Schneider | 2020 | 23 | 6.0 - 7.0 | ||
Bryan Thomson | 2020 | 207 | |||
Carson Focht | 2019 | 152 | 5.0 - 5.0 | ||
Dmitri Zlodeyev | 2020 | 129 | |||
Domenick Fensore | 2019 | 95 | |||
Ethan Cardwell | 2020 | 161 | |||
Harrison Blaisdell | 2019 | 48 | |||
Hayden Fowler | 2020 | 192 | |||
Ian Moore | 2020 | 139 | |||
Igor Chibrikov | 2020 | 212 | |||
Ivan Didkovsky | 2020 | 167 | |||
Jeremie Poirier | 2020 | 35 | |||
Maksim Beryozkin | 2020 | 104 | |||
Oliver Suni | 2020 | 103 | |||
Oliver Tarnstrom | 2020 | 148 | |||
Rodion Amirov | 2020 | 19 | |||
Ronan Seeley | 2020 | 102 | |||
Ryan O'Rourke | 2020 | 18 | |||
Semyon Chistyakov | 2019 | 134 | 3.5 - 5.0 | ||
Simon Lundmark | 2019 | 72 | 4.0 - 6.0 | ||
William Wallinder | 2020 | 31 | |||
Yevgeni Oksentyuk | 2020 | 116 | |||
Zachary Uens | 2020 | 198 |
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