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Full Scoreboard ยป |
Detroit Red Wings 41-26-13, 95pts · 4th in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 55 | 10 | 95 | 93 | 75 | 98 | 99 | 87 | 97 | 93 | 93 | 59 | 87 | 76 | 79 | 82 | 70 | 80 | 28 | 9,850,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 68 | 17 | 85 | 87 | 76 | 94 | 83 | 88 | 28 | 79 | 92 | 57 | 57 | 69 | 71 | 81 | 70 | 76 | 26 | 6,000,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 57 | 13 | 78 | 84 | 75 | 99 | 93 | 85 | 36 | 89 | 87 | 47 | 85 | 68 | 69 | 82 | 57 | 75 | 34 | 6,250,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 70 | 26 | 79 | 91 | 82 | 91 | 86 | 83 | 39 | 75 | 85 | 52 | 63 | 71 | 75 | 80 | 70 | 74 | 29 | 5,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 47 | 13 | 87 | 75 | 78 | 93 | 99 | 81 | 91 | 75 | 75 | 46 | 53 | 90 | 93 | 76 | 70 | 72 | 35 | 3,250,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 48 | 11 | 94 | 84 | 66 | 92 | 99 | 79 | 45 | 83 | 78 | 50 | 61 | 71 | 73 | 77 | 70 | 72 | 30 | 5,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 56 | 40 | 74 | 80 | 68 | 83 | 95 | 86 | 74 | 79 | 79 | 59 | 79 | 43 | 43 | 89 | 70 | 71 | 21 | 863,333$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 30 | 91 | 84 | 67 | 67 | 76 | 76 | 35 | 69 | 90 | 67 | 25 | 52 | 52 | 80 | 70 | 70 | 24 | 2,560,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 26 | 75 | 85 | 72 | 90 | 96 | 67 | 51 | 64 | 79 | 65 | 45 | 61 | 62 | 80 | 70 | 70 | 28 | 1,800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 59 | 80 | 78 | 70 | 82 | 93 | 62 | 42 | 64 | 64 | 64 | 35 | 69 | 70 | 71 | 70 | 66 | 30 | 850,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 27 | 93 | 72 | 75 | 82 | 73 | 63 | 51 | 65 | 58 | 66 | 25 | 73 | 77 | 66 | 58 | 65 | 33 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 43 | 84 | 64 | 73 | 95 | 83 | 70 | 80 | 64 | 71 | 48 | 68 | 54 | 54 | 71 | 50 | 64 | 34 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 15 | 87 | 86 | 87 | 99 | 99 | 87 | 25 | 87 | 59 | 76 | 66 | 87 | 91 | 76 | 70 | 78 | 35 | 8,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 68 | 18 | 76 | 88 | 77 | 99 | 86 | 78 | 25 | 76 | 51 | 87 | 25 | 71 | 73 | 69 | 69 | 77 | 26 | 8,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 56 | 12 | 94 | 90 | 78 | 99 | 99 | 75 | 25 | 65 | 52 | 95 | 53 | 69 | 69 | 64 | 69 | 77 | 26 | 5,300,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 13 | 92 | 79 | 67 | 97 | 94 | 72 | 25 | 64 | 46 | 79 | 80 | 80 | 82 | 67 | 55 | 72 | 35 | 685,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 14 | 81 | 81 | 73 | 99 | 72 | 73 | 25 | 72 | 51 | 75 | 25 | 79 | 83 | 68 | 54 | 72 | 34 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 53 | 9 | 97 | 78 | 68 | 92 | 80 | 72 | 25 | 55 | 49 | 87 | 25 | 60 | 60 | 62 | 70 | 70 | 28 | 1,400,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 52 | 31 | 90 | 63 | 66 | 95 | 91 | 64 | 79 | 65 | 58 | 56 | 59 | 57 | 57 | 65 | 20 | 63 | 26 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 26 | 77 | 80 | 69 | 91 | 73 | 62 | 25 | 50 | 47 | 80 | 75 | 68 | 69 | 63 | 19 | 68 | 31 | 2,500,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 61 | 23 | 85 | 81 | 73 | 92 | 88 | 76 | 46 | 72 | 68 | 66 | 55 | 68 | 70 | 73 | 61 | 72 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 79 | 75 | 75 | 81 | 80 | 85 | 85 | 87 | 85 | 82 | 82 | 52 | 52 | 70 | 70 | 77 | 27 | 2,200,000$/2yrs |
![]() | 0 | 100.00 | 56 | 46 | 73 | 75 | 63 | 56 | 52 | 59 | 56 | 55 | 30 | 46 | 46 | 53 | 47 | 57 | 24 | 685,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 88 | 86 | 98 | 80 | 87 | 86 | 84 | 88 | 86 | 88 | 86 | 69 | 72 | 79 | 62 | 82 | 30 | 7,400,000$/4yrs |
TEAM AVERAGE | 99.33 | 74 | 69 | 82 | 79 | 77 | 76 | 74 | 78 | 76 | 75 | 66 | 56 | 57 | 67 | 60 | 72 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Marc Crawford | 77 | 53 | 71 | 77 | 99 | 85 | 75 | CAN | 59 | 4 | 2,500,000$ |
General Manager | Nick Caughell |
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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 | Tyler Seguin | 0 | C/RW | 80 | 35 | 54 | 89 | 17 | 10 | 0 | 86 | 320 | 100 | 216 | 10.94% | 44 | 21.57 | 3 | 14 | 17 | 185 | 0 | 3 | 3 | 210 | 8 | 2 | 56.65% | 2300 | 96 | 17 | 0 | 0 | 1.03 | 0 | 9 | |
2 | Filip Forsberg | 0 | LW | 80 | 23 | 42 | 65 | 15 | 59 | 5 | 124 | 273 | 85 | 144 | 8.42% | 36 | 21.22 | 4 | 8 | 12 | 184 | 0 | 0 | 0 | 196 | 3 | 1 | 25.19% | 131 | 60 | 25 | 0 | 0 | 0.77 | 0 | 7 | |
3 | Chris Kreider | 0 | LW | 80 | 19 | 44 | 63 | 11 | 54 | 0 | 134 | 304 | 77 | 165 | 6.25% | 33 | 16.75 | 2 | 12 | 14 | 182 | 0 | 0 | 0 | 46 | 2 | 6 | 30.99% | 71 | 53 | 22 | 0 | 0 | 0.94 | 0 | 2 | |
4 | Alexander Radulov | 0 | RW | 79 | 30 | 30 | 60 | 16 | 65 | 5 | 110 | 252 | 88 | 175 | 11.90% | 39 | 21.12 | 9 | 4 | 13 | 179 | 2 | 1 | 3 | 187 | 7 | 2 | 35.90% | 117 | 57 | 30 | 1 | 1 | 0.72 | 1 | 9 | |
5 | Gustav Nyquist | 0 | RW | 80 | 27 | 28 | 55 | 8 | 4 | 0 | 59 | 197 | 60 | 108 | 13.71% | 22 | 15.93 | 4 | 7 | 11 | 182 | 0 | 0 | 0 | 0 | 4 | 1 | 44.93% | 69 | 42 | 17 | 0 | 0 | 0.86 | 0 | 2 | |
6 | Morgan Frost | 0 | C | 80 | 18 | 27 | 45 | 9 | 68 | 0 | 134 | 171 | 63 | 127 | 10.53% | 34 | 18.51 | 7 | 5 | 12 | 181 | 1 | 0 | 1 | 194 | 0 | 1 | 45.88% | 1397 | 39 | 30 | 0 | 0 | 0.61 | 0 | 2 | |
7 | Jacob Trouba | 0 | D | 80 | 10 | 31 | 41 | 20 | 98 | 0 | 142 | 141 | 71 | 57 | 7.09% | 121 | 24.30 | 0 | 5 | 5 | 139 | 0 | 0 | 0 | 142 | 1 | 0 | 0.00% | 0 | 32 | 83 | 0 | 0 | 0.42 | 0 | 0 | |
8 | Eric Staal | 0 | C | 80 | 18 | 22 | 40 | 3 | 10 | 0 | 38 | 179 | 50 | 107 | 10.06% | 25 | 13.30 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 45 | 5 | 2 | 55.49% | 811 | 21 | 16 | 0 | 0 | 0.75 | 0 | 0 | |
9 | Dominik Kubalik | 0 | LW/RW | 80 | 16 | 24 | 40 | 0 | 6 | 0 | 95 | 254 | 91 | 150 | 6.30% | 26 | 12.37 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 2 | 29.41% | 34 | 57 | 20 | 0 | 0 | 0.81 | 0 | 0 | |
10 | Jaccob Slavin | 0 | D | 80 | 6 | 23 | 29 | 18 | 18 | 0 | 60 | 138 | 71 | 53 | 4.35% | 124 | 24.52 | 2 | 2 | 4 | 138 | 0 | 0 | 0 | 170 | 1 | 0 | 0.00% | 0 | 14 | 78 | 0 | 0 | 0.30 | 0 | 1 | |
11 | Brent Burns | 0 | D | 80 | 4 | 21 | 25 | 8 | 16 | 0 | 65 | 131 | 54 | 55 | 3.05% | 101 | 21.41 | 2 | 5 | 7 | 185 | 0 | 0 | 0 | 221 | 1 | 0 | 0.00% | 0 | 36 | 51 | 0 | 0 | 0.29 | 0 | 0 | |
12 | Blake Coleman | 0 | C/LW/RW | 80 | 9 | 13 | 22 | -1 | 50 | 0 | 129 | 135 | 39 | 74 | 6.67% | 23 | 12.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 38.24% | 34 | 24 | 19 | 0 | 0 | 0.45 | 0 | 0 | |
13 | Jordan Oesterle | 0 | D | 80 | 4 | 14 | 18 | 1 | 0 | 0 | 30 | 90 | 31 | 41 | 4.44% | 92 | 20.09 | 3 | 2 | 5 | 186 | 0 | 0 | 0 | 221 | 1 | 0 | 0.00% | 0 | 8 | 68 | 0 | 0 | 0.22 | 0 | 0 | |
14 | Mike Green | 0 | D | 75 | 1 | 10 | 11 | -6 | 42 | 0 | 54 | 64 | 29 | 42 | 1.56% | 81 | 15.73 | 0 | 0 | 0 | 48 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 8 | 48 | 0 | 0 | 0.19 | 0 | 0 | |
15 | Matt Calvert | 0 | LW/RW | 80 | 6 | 4 | 10 | -9 | 10 | 0 | 49 | 73 | 31 | 48 | 8.22% | 8 | 7.66 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 7 | 2 | 2 | 32.00% | 75 | 27 | 5 | 0 | 0 | 0.33 | 0 | 0 | |
16 | Alex Goligoski | 0 | D | 63 | 2 | 6 | 8 | -7 | 6 | 0 | 23 | 59 | 16 | 20 | 3.39% | 38 | 15.41 | 1 | 0 | 1 | 47 | 0 | 0 | 0 | 91 | 0 | 0 | 0.00% | 0 | 8 | 47 | 0 | 0 | 0.16 | 0 | 2 | |
17 | Trevor Lewis | 0 | C/RW | 78 | 0 | 6 | 6 | -11 | 2 | 0 | 41 | 44 | 6 | 37 | 0.00% | 6 | 7.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 41.67% | 12 | 4 | 7 | 0 | 0 | 0.21 | 0 | 0 | |
18 | Chris Mueller | 0 | C/RW | 47 | 3 | 1 | 4 | -7 | 15 | 5 | 20 | 42 | 16 | 25 | 7.14% | 3 | 7.74 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 4 | 0 | 1 | 51.35% | 111 | 7 | 2 | 0 | 0 | 0.22 | 0 | 2 | |
19 | Andrew Poturalski | 0 | C | 5 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 9 | 0 | 3 | 0.00% | 0 | 9.82 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
20 | Thomas Hickey | 0 | D | 17 | 0 | 0 | 0 | -3 | 6 | 0 | 13 | 6 | 6 | 6 | 0.00% | 16 | 13.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 4 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1404 | 231 | 401 | 632 | 82 | 541 | 15 | 1406 | 2882 | 984 | 1653 | 8.02% | 872 | 16.69 | 37 | 64 | 101 | 1866 | 3 | 4 | 7 | 1793 | 40 | 21 | 50.95% | 5172 | 595 | 589 | 1 | 1 | 0.54 | 1 | 36 |
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 | Braden Holtby | Red Wings | 68 | 37 | 19 | 12 | 0.918 | 2.71 | 4034 | 6 | 2 | 182 | 2215 | 1019 | 3 | 2 | 0.706 | 34 | 68 | 1 | 7 | 3 | 7 |
2 | Laurent Brossoit | Red Wings | 12 | 3 | 5 | 1 | 0.908 | 3.24 | 649 | 4 | 0 | 35 | 380 | 184 | 1 | 0 | 0.000 | 0 | 9 | 71 | 1 | 1 | 0 |
3 | Angus Redmond | Red Wings | 3 | 1 | 2 | 0 | 0.886 | 3.33 | 180 | 0 | 0 | 10 | 88 | 55 | 0 | 1 | 0.000 | 0 | 3 | 8 | 0 | 0 | 0 |
Team Total or Average | 83 | 41 | 26 | 13 | 0.915 | 2.80 | 4863 | 10 | 2 | 227 | 2683 | 1258 | 4 | 3 | 0.706 | 34 | 80 | 80 | 8 | 4 | 7 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 72 | 30 | 24 | 18 | 2 | 73 | 28 | 4 | 42 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 46 | 29 | 43 | 17 | 35 | 17 | 57.1% | 5.6% | 95.9% | 101.4 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 82 | 26 | 30 | 26 | 0 | 72 | 29 | 10 | 40 | 2 | 2 | 100.00% | 5 | 1 | 80.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 41 | 26 | 44 | 17 | 33 | 15 | 45.5% | 8.5% | 90.3% | 98.8 | Unlucky | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 70 | 25 | 22 | 23 | 0 | 78 | 26 | 24 | 39 | 3 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 43 | 25 | 44 | 17 | 32 | 14 | 33.3% | 2.9% | 91.0% | 93.9 | Unlucky | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 77 | 20 | 26 | 31 | 0 | 59 | 16 | 14 | 32 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 1 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 41 | 25 | 43 | 18 | 34 | 16 | 60.0% | 9.1% | 91.5% | 100.6 | LUCKY | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 2 | 0 | 68 | 28 | 24 | 16 | 0 | 65 | 23 | 10 | 44 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 1 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 43 | 25 | 41 | 17 | 34 | 16 | 57.1% | 7.4% | 95.4% | 102.7 | DULL | |
6 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 2 | 3 | 2 | 0 | 67 | 23 | 29 | 15 | 3 | 75 | 15 | 8 | 37 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 45 | 28 | 44 | 18 | 34 | 17 | 50.0% | 10.4% | 93.3% | 103.8 | LUCKY | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 3 | 4 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 4 | 0 | 87 | 24 | 27 | 30 | 14 | 59 | 22 | 10 | 36 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 54 | 34 | 37 | 16 | 33 | 17 | 70.0% | 8.0% | 94.9% | 103.0 | DULL | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 2 | 4 | 2 | 0 | 71 | 24 | 31 | 14 | 5 | 71 | 17 | 10 | 37 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 44 | 27 | 47 | 17 | 33 | 16 | 54.5% | 11.3% | 93.0% | 104.2 | LUCKY | |
9 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 17 | 27 | 0 | 0 | 4 | 4 | 2 | 0 | 107 | 46 | 27 | 30 | 12 | 94 | 35 | 14 | 38 | 5 | 2 | 40.00% | 7 | 0 | 100.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 66 | 41 | 69 | 25 | 49 | 25 | 50.0% | 9.3% | 91.5% | 100.8 | LUCKY | |
10 | 6 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 17 | 17 | 0 | 6 | 0.500 | 17 | 31 | 48 | 1 | 0 | 5 | 2 | 9 | 1 | 205 | 89 | 60 | 51 | 8 | 193 | 50 | 62 | 105 | 20 | 2 | 10.00% | 29 | 4 | 86.21% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 130 | 76 | 133 | 56 | 106 | 51 | 53.6% | 8.3% | 91.2% | 99.5 | DULL | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 82 | 35 | 22 | 25 | 0 | 60 | 14 | 12 | 33 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 50 | 34 | 38 | 15 | 30 | 16 | 66.7% | 7.3% | 93.3% | 100.7 | DULL | |
12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 0 | 1 | 77 | 25 | 25 | 24 | 3 | 73 | 24 | 21 | 26 | 4 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 43 | 26 | 46 | 18 | 34 | 16 | 44.4% | 5.2% | 89.0% | 94.2 | Unlucky | |
13 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 23 | -7 | 6 | 0.500 | 16 | 24 | 40 | 0 | 0 | 5 | 5 | 6 | 0 | 205 | 67 | 62 | 76 | 0 | 198 | 55 | 55 | 115 | 22 | 2 | 9.09% | 25 | 5 | 80.00% | 1 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 131 | 75 | 128 | 53 | 100 | 49 | 43.8% | 7.8% | 88.4% | 96.2 | Unlucky | |
14 | 6 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 23 | 18 | 5 | 8 | 0.667 | 23 | 41 | 64 | 0 | 0 | 5 | 9 | 8 | 1 | 212 | 63 | 71 | 76 | 2 | 201 | 71 | 40 | 93 | 21 | 5 | 23.81% | 20 | 3 | 85.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 128 | 76 | 130 | 53 | 101 | 49 | 54.5% | 10.8% | 91.0% | 101.9 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 33 | 14 | 10 | 9 | 0 | 33 | 20 | 10 | 18 | 1 | 1 | 100.00% | 5 | 2 | 60.00% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 19 | 12 | 23 | 8 | 16 | 7 | 40.0% | 9.1% | 84.8% | 93.9 | FUN | |
16 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 24 | 15 | 9 | 10 | 0.833 | 24 | 41 | 65 | 0 | 1 | 5 | 9 | 10 | 0 | 219 | 66 | 89 | 64 | 0 | 200 | 64 | 36 | 125 | 14 | 3 | 21.43% | 18 | 3 | 83.33% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 136 | 82 | 120 | 51 | 102 | 53 | 63.6% | 11.0% | 92.5% | 103.5 | LUCKY | |
17 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 16 | -10 | 0 | 0.000 | 6 | 11 | 17 | 1 | 0 | 0 | 6 | 0 | 0 | 141 | 39 | 60 | 42 | 0 | 130 | 46 | 45 | 70 | 16 | 1 | 6.25% | 16 | 6 | 62.50% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 93 | 57 | 81 | 33 | 65 | 33 | 33.3% | 4.3% | 87.7% | 91.9 | Unlucky | |
18 | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 15 | 21 | -6 | 5 | 0.417 | 15 | 27 | 42 | 0 | 0 | 5 | 4 | 5 | 1 | 220 | 77 | 81 | 59 | 3 | 204 | 64 | 28 | 98 | 12 | 2 | 16.67% | 15 | 2 | 86.67% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 137 | 86 | 130 | 52 | 99 | 49 | 40.6% | 6.8% | 89.7% | 96.5 | Unlucky | |
19 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 9 | 15 | -6 | 3 | 0.375 | 9 | 16 | 25 | 0 | 0 | 1 | 3 | 5 | 0 | 151 | 49 | 61 | 39 | 5 | 130 | 41 | 22 | 80 | 10 | 1 | 10.00% | 11 | 5 | 54.55% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 91 | 57 | 86 | 34 | 66 | 33 | 44.4% | 6.0% | 88.5% | 94.4 | Unlucky | |
20 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 9 | 0 | 6 | 0.750 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 4 | 0 | 141 | 55 | 33 | 52 | 4 | 142 | 37 | 32 | 81 | 14 | 2 | 14.29% | 16 | 1 | 93.75% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 86 | 51 | 88 | 36 | 70 | 34 | 46.7% | 6.4% | 93.7% | 100.0 | DULL | |
21 | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 14 | 15 | -1 | 4 | 0.500 | 14 | 24 | 38 | 1 | 0 | 3 | 5 | 4 | 2 | 141 | 60 | 42 | 37 | 2 | 134 | 52 | 30 | 69 | 2 | 1 | 50.00% | 15 | 5 | 66.67% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 86 | 53 | 87 | 32 | 67 | 32 | 56.5% | 9.9% | 88.8% | 98.7 | FUN | |
22 | 5 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 12 | 14 | -2 | 7 | 0.700 | 12 | 18 | 30 | 0 | 0 | 2 | 7 | 1 | 2 | 191 | 61 | 76 | 48 | 8 | 189 | 72 | 34 | 93 | 12 | 1 | 8.33% | 17 | 2 | 88.24% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 112 | 66 | 112 | 44 | 86 | 42 | 47.8% | 6.3% | 92.6% | 98.9 | DULL | |
23 | 5 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 20 | 12 | 8 | 9 | 0.900 | 20 | 34 | 54 | 0 | 1 | 3 | 8 | 8 | 1 | 183 | 44 | 74 | 62 | 3 | 153 | 60 | 32 | 83 | 22 | 4 | 18.18% | 16 | 5 | 68.75% | 0 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 116 | 71 | 100 | 41 | 84 | 44 | 69.6% | 10.9% | 92.2% | 103.1 | LUCKY | |
_Vs Division | 30 | 13 | 11 | 0 | 3 | 2 | 0 | 1 | 95 | 94 | 1 | 35 | 0.583 | 95 | 164 | 259 | 1 | 1 | 25 | 29 | 38 | 3 | 1061 | 362 | 363 | 326 | 13 | 996 | 304 | 221 | 536 | 89 | 14 | 15.73% | 107 | 17 | 84.11% | 1 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 663 | 398 | 643 | 266 | 510 | 252 | 51.3% | 9.0% | 90.6% | 99.5 | FUN | |
_Vs Conference | 56 | 20 | 20 | 0 | 7 | 5 | 1 | 3 | 165 | 175 | -10 | 64 | 0.571 | 165 | 281 | 446 | 3 | 2 | 36 | 61 | 60 | 8 | 2009 | 670 | 709 | 606 | 35 | 1874 | 612 | 416 | 1012 | 165 | 24 | 14.55% | 198 | 41 | 79.29% | 1 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 1250 | 754 | 1200 | 489 | 951 | 472 | 51.3% | 8.2% | 90.7% | 98.9 | Unlucky | |
_Since Last GM Reset | 80 | 32 | 26 | 0 | 8 | 5 | 1 | 8 | 235 | 238 | -3 | 95 | 0.594 | 235 | 403 | 638 | 3 | 2 | 56 | 91 | 79 | 9 | 2902 | 990 | 1006 | 867 | 74 | 2686 | 881 | 563 | 1434 | 222 | 37 | 16.67% | 271 | 53 | 80.44% | 3 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 1791 | 1091 | 1727 | 698 | 1353 | 670 | 51.7% | 8.1% | 91.1% | 99.2 | Unlucky | |
Total | 80 | 32 | 26 | 0 | 8 | 5 | 1 | 8 | 235 | 238 | -3 | 95 | 0.594 | 235 | 403 | 638 | 3 | 2 | 56 | 91 | 79 | 9 | 2902 | 990 | 1006 | 867 | 74 | 2686 | 881 | 563 | 1434 | 222 | 37 | 16.67% | 271 | 53 | 80.44% | 3 | 1013 | 2023 | 50.07% | 1022 | 1919 | 53.26% | 605 | 1174 | 51.53% | 1791 | 1091 | 1727 | 698 | 1353 | 670 | 51.7% | 8.1% | 91.1% | 99.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 2023 |
Neutral Zone Start | 1174 |
Defensive Zone Start | 1919 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2640 |
Faceoffs Lost | 2476 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.4 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 35.8 | 30.68 |
Overtime | 36.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 192 |
---|---|
PP Goal | 37 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 19 | 22 |
Lost | 13 | 13 |
Overtime Lost | 8 | 5 |
PP Attempt | 222 |
---|---|
PP Goal | 37 |
PK Attempt | 271 |
PK Goal Against | 53 |
Home | |
---|---|
Shots For | 36.3 |
Shots Against | 33.6 |
Goals For | 2.9 |
Goals Against | 3.0 |
Hits | 17.9 |
Shots Blocked | 11.0 |
Pim | 7.0 |
Projected Total Cap Hit | 74,228,333$ |
Projected Cap Space | 7,271,667$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 75,079,222$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2012-2013 | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Goligoski ![]() | D | 35 | 685,000$ | 685,000$ | 685,000$ | ||||||
Alexander Radulov | RW | 34 | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||||
Andrew Poturalski ![]() | C | 26 | 685,000$ | 685,000$ | |||||||
Angus Redmond ![]() | LW/RW | 24 | 685,000$ | 685,000$ | |||||||
Blake Coleman ![]() | C/LW/RW | 28 | 1,800,000$ | 1,800,000$ | |||||||
Braden Holtby ![]() | C/LW | 30 | 7,400,000$ | 7,400,000$ | 7,400,000$ | 7,400,000$ | 7,400,000$ | ||||
Brent Burns | D | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||||
Chris Kreider | LW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Chris Mueller ![]() | C/RW | 34 | 700,000$ | 700,000$ | 700,000$ | ||||||
Dominik Kubalik ![]() | LW/RW | 24 | 2,560,000$ | 2,560,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||
Eric Staal ![]() | C | 35 | 3,250,000$ | 3,250,000$ | |||||||
Filip Forsberg | LW | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Gustav Nyquist | RW | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Jaccob Slavin | D | 26 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | |||||
Jacob Trouba | D | 26 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||||
Jordan Oesterle ![]() | D | 28 | 1,400,000$ | 1,400,000$ | |||||||
Laurent Brossoit ![]() | D | 27 | 2,200,000$ | 2,200,000$ | 2,200,000$ | ||||||
Matt Calvert ![]() | LW/RW | 30 | 850,000$ | 850,000$ | 850,000$ | ||||||
Mike Green ![]() | D | 34 | 800,000$ | 800,000$ | |||||||
Morgan Frost ![]() | C | 21 | 863,333$ | 863,333$ | 863,333$ | ||||||
Thomas Hickey ![]() | D | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Trevor Lewis ![]() | C/RW | 33 | 850,000$ | 850,000$ | |||||||
Tyler Seguin ![]() | C/RW | 28 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Daniel Baker | 2 | 41 | |||
Filip Hallander | 1 | ||||
Gille Senn | 1 | ||||
Jakub Konecny | 2 | 68 | |||
James Hardie | 2 | 44 | |||
Tyrel Bauer | 2 | 92 | |||
Zayde Wisdom | 2 | 20 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-08-18 | @ | Red Wings3,Canadiens2 | RECAP | |||||||||||
2020-08-19 | @ | Devils2,Red Wings3 | RECAP | |||||||||||
2020-08-21 | @ | Devils2,Red Wings3 (SO) | RECAP | |||||||||||
2020-08-24 | @ | Red Wings3,Blue Jackets4 (OT) | RECAP | |||||||||||
2020-08-26 | @ | Maple Leafs2,Red Wings7 | RECAP | |||||||||||
2020-08-27 | @ | Red Wings4,Maple Leafs3 | RECAP | |||||||||||
2020-08-29 | @ | Red Wings3,Wild5 | RECAP | |||||||||||
2020-08-31 | @ | Maple Leafs4,Red Wings1 | RECAP | |||||||||||
2020-09-02 | @ | Red Wings4,Devils3 (OT) | RECAP | |||||||||||
2020-09-04 | @ | Sabres1,Red Wings4 | RECAP | |||||||||||
2020-09-06 | @ | Red Wings2,Sabres3 (OT) | RECAP | |||||||||||
2020-09-09 | @ | Senators5,Red Wings3 | RECAP | |||||||||||
2020-09-10 | @ | Flyers1,Red Wings2 | RECAP | |||||||||||
2020-09-12 | @ | Red Wings3,Panthers2 (OT) | RECAP | |||||||||||
2020-09-15 | @ | Red Wings4,Senators2 | RECAP | |||||||||||
2020-09-16 | @ | Lightning3,Red Wings4 | RECAP | |||||||||||
2020-09-19 | @ | Red Wings6,Avalanche3 | RECAP | |||||||||||
2020-09-20 | @ | Flyers4,Red Wings3 (SO) | RECAP | |||||||||||
2020-09-22 | @ | Senators3,Red Wings5 | RECAP | |||||||||||
2020-09-24 | @ | Red Wings0,Oilers4 | RECAP | |||||||||||
2020-09-26 | @ | Flames2,Red Wings1 (SO) | RECAP | |||||||||||
2020-09-28 | @ | Red Wings3,Lightning2 | RECAP | |||||||||||
2020-09-29 | @ | Devils5,Red Wings1 | RECAP | |||||||||||
2020-10-01 | @ | Red Wings1,Lightning2 (SO) | RECAP | |||||||||||
2020-10-03 | @ | Jets3,Red Wings4 | RECAP | |||||||||||
2020-10-07 | @ | Red Wings1,Sabres6 | RECAP | |||||||||||
2020-10-10 | @ | Blue Jackets2,Red Wings4 | RECAP | |||||||||||
2020-10-11 | @ | Blues1,Red Wings5 | RECAP | |||||||||||
2020-10-13 | @ | Red Wings4,Blue Jackets0 | RECAP | |||||||||||
2020-10-15 | @ | Red Wings3,Bruins2 (OT) | RECAP | |||||||||||
2020-10-17 | @ | Panthers4,Red Wings2 | RECAP | |||||||||||
2020-10-19 | @ | Bruins4,Red Wings3 (SO) | RECAP | |||||||||||
2020-10-21 | @ | Red Wings4,Panthers5 | RECAP | |||||||||||
2020-10-23 | @ | Red Wings6,Stars1 | RECAP | |||||||||||
2020-10-25 | @ | Oilers3,Red Wings2 | RECAP | |||||||||||
2020-10-27 | @ | Red Wings4,Coyotes1 | RECAP | |||||||||||
2020-10-29 | @ | Red Wings3,Ducks2 (OT) | RECAP | |||||||||||
2020-10-30 | @ | Coyotes3,Red Wings2 | RECAP | |||||||||||
2020-11-02 | @ | Maple Leafs0,Red Wings3 | RECAP | |||||||||||
2020-11-05 | @ | Red Wings4,Maple Leafs3 | RECAP | |||||||||||
2020-11-07 | @ | Ducks6,Red Wings1 | RECAP | |||||||||||
2020-11-08 | @ | Red Wings2,Sabres3 | RECAP | |||||||||||
2020-11-10 | @ | Red Wings1,Devils2 (OT) | RECAP | |||||||||||
2020-11-12 | @ | Canadiens9,Red Wings1 | RECAP | |||||||||||
2020-11-14 | @ | Red Wings5,Blue Jackets3 | RECAP | |||||||||||
2020-11-16 | @ | Red Wings6,Kings3 | RECAP | |||||||||||
2020-11-17 | @ | Panthers4,Red Wings5 (OT) | RECAP | |||||||||||
2020-11-20 | @ | Golden Knights2,Red Wings3 | RECAP | |||||||||||
2020-11-23 | @ | Lightning2,Red Wings1 (OT) | RECAP | |||||||||||
2020-11-25 | @ | Red Wings1,Flyers6 | RECAP | |||||||||||
2020-11-26 | @ | Sabres3,Red Wings4 (OT) | RECAP | |||||||||||
2020-11-28 | @ | Red Wings3,Blues4 (SO) | RECAP | |||||||||||
2020-11-30 | @ | Kings4,Red Wings1 | RECAP | |||||||||||
2020-12-03 | @ | Red Wings5,Maple Leafs3 | RECAP | |||||||||||
2020-12-04 | @ | Red Wings5,Bruins1 | RECAP | |||||||||||
2020-12-06 | @ | Red Wings5,Senators2 | RECAP | |||||||||||
2020-12-07 | @ | Sabres5,Red Wings2 | RECAP | |||||||||||
2020-12-08 | @ | Red Wings2,Golden Knights1 | RECAP | |||||||||||
2020-12-09 | @ | Red Wings3,Flames1 | RECAP | |||||||||||
2020-12-10 | @ | Stars2,Red Wings1 (SO) | RECAP | |||||||||||
2020-12-12 | @ | Red Wings1,Rangers3 | RECAP | |||||||||||
2020-12-13 | @ | Avalanche2,Red Wings1 (SO) | RECAP | |||||||||||
2020-12-14 | @ | Canadiens2,Red Wings3 | RECAP | |||||||||||
2020-12-17 | @ | Red Wings4,Canucks3 | RECAP | |||||||||||
2020-12-18 | @ | Canucks2,Red Wings3 | RECAP | |||||||||||
2020-12-22 | @ | Red Wings3,Flyers4 | RECAP | |||||||||||
2020-12-23 | @ | Bruins4,Red Wings2 | RECAP | |||||||||||
2020-12-25 | @ | Canadiens3,Red Wings5 | RECAP | |||||||||||
2020-12-26 | @ | Jets4,Red Wings3 (SO) | RECAP | |||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2021-01-01 | @ | Red Wings1,Canadiens3 | RECAP | |||||||||||
2021-01-02 | @ | Rangers5,Red Wings3 | RECAP | |||||||||||
2021-01-03 | @ | Blue Jackets3,Red Wings4 (OT) | RECAP | |||||||||||
2021-01-04 | @ | Red Wings2,Senators3 | RECAP | |||||||||||
2021-01-06 | @ | Red Wings3,Canadiens4 | RECAP | |||||||||||
2021-01-08 | @ | Red Wings2,Bruins3 | RECAP | |||||||||||
2021-01-10 | @ | Bruins3,Red Wings2 (OT) | RECAP | |||||||||||
2021-01-14 | @ | Red Wings3,Jets1 | RECAP | |||||||||||
2021-01-16 | @ | Rangers3,Red Wings1 | RECAP | |||||||||||
2021-01-17 | @ | Red Wings1,Rangers5 | RECAP | |||||||||||
2021-01-21 | @ | Senators3,Red Wings4 (OT) | RECAP | |||||||||||
2021-01-23 | @ | |||||||||||||
2021-01-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
74,228,333$ | 0$ | 74,228,333$ | 7,271,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Little Caesars Arena | |
City | Detroit | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 187087 | 156023 | 64417 | 127763 | 38248 |
Attendance PCT | 77.95% | 78.01% | 80.52% | 79.85% | 95.62% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 14338 - 79.66% | 4,129,262$ | 165,170,485$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
74,228,333$ | 74,228,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
77,548,972$ | 74,228,333$ | 75,079,222$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
4,129,262$ | 9 | 459,451$ | 4,135,059$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,135,059$ | 74,228,333$ | 228,249,489$ | 228,243,692$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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