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Full Scoreboard »» |
Detroit Red Wings Team Overall:75 25-18-6, 56pts · 7th in Conférence Ouest |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C | 6' 1" | 198 | 23 | 69 | 46 | 71 | 90 | 77 | 86 | 89 | 83 | 88 | 80 | 78 | 67 | 83 | 67 | 74 | 0 | 40 | 79 | 100.00 | 6,100,000$/3yrs | |
0 | ![]() | LW/RW | 5' 11" | 191 | 25 | 57 | 39 | 83 | 80 | 71 | 84 | 89 | 79 | 57 | 86 | 72 | 78 | 80 | 71 | 73 | 0 | 40 | 78 | 98.00 | 5,400,000$/3yrs | |
0 | ![]() | LW/RW | 5' 11" | 179 | 30 | 57 | 39 | 89 | 83 | 68 | 85 | 88 | 77 | 66 | 78 | 73 | 62 | 80 | 79 | 74 | 0 | 40 | 77 | 100.00 | 5,500,000$/2yrs | |
0 | ![]() | RW | 5' 8" | 178 | 32 | 67 | 38 | 83 | 77 | 64 | 83 | 80 | 76 | 54 | 78 | 72 | 69 | 78 | 82 | 75 | 0 | 40 | 76 | 100.00 | 6,000,000$/3yrs | |
0 | ![]() | C | 6' 1" | 175 | 21 | 66 | 39 | 84 | 77 | 72 | 83 | 81 | 76 | 86 | 77 | 73 | 71 | 80 | 62 | 69 | 0 | 40 | 76 | 100.00 | 3,775,000$/3yrs | |
0 | ![]() | C/LW/RW | 6' 2" | 215 | 40 | 69 | 42 | 86 | 75 | 83 | 81 | 88 | 72 | 68 | 70 | 67 | 64 | 72 | 91 | 84 | 0 | 40 | 76 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C/LW/RW | 6' 0" | 183 | 27 | 83 | 42 | 75 | 73 | 71 | 79 | 86 | 72 | 58 | 69 | 71 | 82 | 73 | 75 | 67 | 0 | 40 | 76 | 98.00 | 4,000,000$/3yrs | |
0 | ![]() | RW | 6' 1" | 226 | 23 | 84 | 45 | 73 | 76 | 83 | 81 | 85 | 71 | 54 | 67 | 72 | 62 | 76 | 67 | 70 | 0 | 40 | 75 | 100.00 | 1,250,000$/3yrs | |
0 | ![]() | C | 6' 4" | 220 | 40 | 54 | 42 | 83 | 67 | 90 | 82 | 86 | 72 | 81 | 77 | 66 | 63 | 68 | 91 | 82 | 0 | 40 | 75 | 100.00 | 2,000,000$/2yrs | |
0 | ![]() | LW/RW | 6' 6" | 225 | 23 | 73 | 53 | 77 | 69 | 97 | 81 | 88 | 67 | 59 | 68 | 64 | 66 | 69 | 65 | 64 | 0 | 40 | 73 | 100.00 | 1,225,000$/3yrs | |
0 | ![]() | C | 6' 2" | 198 | 21 | 67 | 44 | 83 | 74 | 80 | 78 | 85 | 73 | 80 | 70 | 67 | 59 | 72 | 61 | 64 | 0 | 40 | 73 | 100.00 | 3,575,000$/3yrs | |
0 | ![]() | C/LW/RW | 6' 6" | 229 | 20 | 78 | 48 | 87 | 63 | 98 | 75 | 71 | 64 | 73 | 61 | 62 | 65 | 63 | 61 | 62 | 0 | 40 | 70 | 100.00 | 1,710,833$/3yrs | |
0 | ![]() | D | 6' 3" | 217 | 31 | 86 | 45 | 71 | 75 | 87 | 89 | 84 | 73 | 30 | 78 | 69 | 82 | 56 | 79 | 72 | 0 | 40 | 78 | 100.00 | 4,000,000$/3yrs | |
0 | ![]() | D | 6' 2" | 212 | 22 | 63 | 42 | 89 | 78 | 83 | 90 | 87 | 76 | 30 | 79 | 77 | 74 | 63 | 65 | 70 | 0 | 40 | 78 | 100.00 | 5,000,000$/3yrs | |
0 | ![]() | D | 6' 0" | 180 | 25 | 81 | 45 | 74 | 78 | 70 | 88 | 79 | 77 | 30 | 76 | 74 | 73 | 62 | 71 | 75 | 0 | 40 | 77 | 100.00 | 6,000,000$/3yrs | |
0 | ![]() | D | 6' 1" | 190 | 20 | 58 | 38 | 89 | 80 | 75 | 90 | 89 | 76 | 30 | 77 | 70 | 72 | 55 | 61 | 63 | 0 | 40 | 76 | 100.00 | 3,394,166$/3yrs | |
0 | ![]() | D | 6' 3" | 213 | 24 | 76 | 42 | 84 | 65 | 86 | 83 | 88 | 63 | 30 | 72 | 62 | 74 | 53 | 69 | 66 | 0 | 40 | 73 | 100.00 | 1,350,000$/3yrs | |
0 | ![]() | D | 6' 4" | 203 | 18 | 73 | 49 | 86 | 61 | 87 | 84 | 83 | 62 | 30 | 60 | 53 | 61 | 47 | 59 | 61 | 0 | 40 | 68 | 100.00 | 1,775,000$/3yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | RW | 6' 2" | 208 | 32 | 76 | 50 | 77 | 73 | 82 | 78 | 80 | 71 | 54 | 72 | 69 | 57 | 73 | 82 | 73 | 0 | 40 | 74 | 100.00 | 7,250,000$/1yrs | |
0 | ![]() | C/LW | 5' 10" | 190 | 24 | 76 | 39 | 86 | 73 | 68 | 82 | 76 | 71 | 68 | 70 | 67 | 62 | 73 | 67 | 69 | 0 | 40 | 73 | 100.00 | 900,000$/2yrs | |
0 | ![]() | D | 6' 5" | 260 | 35 | 85 | 53 | 56 | 76 | 98 | 91 | 65 | 74 | 30 | 85 | 68 | 73 | 59 | 84 | 75 | 0 | 40 | 78 | 90.07 | 7,600,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 2" | 214 | 30 | 92 | 93 | 95 | 92 | 92 | 91 | 79 | 85 | 0 | 40 | 78 | 100.00 | 6,100,000$/3yrs | |||||||
0 | ![]() | 6' 4" | 178 | 25 | 93 | 78 | 80 | 93 | 93 | 92 | 71 | 75 | 0 | 40 | 78 | 100.00 | 3,750,000$/3yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Quenneville | 85 | 91 | 96 | 82 | 91 | 97 | 1 | CAN | 60 | 2 | 4,000,000$ |
General Manager | Robert Martens |
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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 | Dylan Larkin | 0 | C | 49 | 16 | 22 | 38 | 9 | 20 | 10 | 58 | 153 | 29 | 112 | 10.46% | 11 | 21.20 | 3 | 10 | 13 | 195 | 0 | 0 | 0 | 83 | 1 | 0 | 51.62% | 1294 | 0 | 0 | 0 | 0 | 0.73 | 3 | 4 | ||
2 | Teuvo Teravainen | 0 | LW/RW | 48 | 13 | 21 | 34 | 18 | 4 | 0 | 10 | 146 | 40 | 98 | 8.90% | 10 | 19.13 | 6 | 5 | 11 | 170 | 0 | 0 | 0 | 10 | 3 | 0 | 30.11% | 93 | 0 | 0 | 0 | 0 | 0.74 | 0 | 3 | ||
3 | Vladislav Namestnikov | 0 | C/LW/RW | 49 | 14 | 20 | 34 | 14 | 64 | 0 | 144 | 124 | 35 | 87 | 11.29% | 11 | 18.71 | 5 | 6 | 11 | 199 | 0 | 0 | 0 | 2 | 2 | 3 | 29.58% | 71 | 0 | 0 | 0 | 0 | 0.74 | 1 | 1 | ||
4 | Zach Werenski | 0 | D | 49 | 9 | 23 | 32 | 3 | 18 | 0 | 68 | 103 | 31 | 74 | 8.74% | 75 | 24.90 | 4 | 7 | 11 | 202 | 0 | 0 | 0 | 175 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 3 | ||
5 | Dustin Byfuglien | 0 | D | 42 | 5 | 23 | 28 | 2 | 58 | 0 | 124 | 44 | 13 | 31 | 11.36% | 25 | 17.05 | 2 | 6 | 8 | 117 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | ||
6 | Gustav Nyquist | 0 | LW/RW | 49 | 10 | 14 | 24 | 1 | 6 | 0 | 31 | 117 | 27 | 81 | 8.55% | 11 | 19.67 | 2 | 3 | 5 | 185 | 0 | 0 | 0 | 108 | 2 | 0 | 43.12% | 218 | 0 | 0 | 0 | 0 | 0.50 | 0 | 3 | ||
7 | Matt Dumba | 0 | D | 44 | 11 | 12 | 23 | -9 | 46 | 0 | 94 | 63 | 24 | 32 | 17.46% | 45 | 20.44 | 7 | 5 | 12 | 123 | 0 | 0 | 0 | 127 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
8 | Miro Heiskanen | 0 | D | 47 | 6 | 16 | 22 | -5 | 23 | 5 | 23 | 53 | 12 | 31 | 11.32% | 52 | 18.74 | 3 | 3 | 6 | 88 | 0 | 0 | 0 | 50 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
9 | Mats Zuccarello | 0 | RW | 47 | 6 | 15 | 21 | -1 | 28 | 0 | 79 | 105 | 25 | 75 | 5.71% | 5 | 16.95 | 3 | 7 | 10 | 168 | 0 | 0 | 0 | 0 | 0 | 1 | 46.77% | 62 | 0 | 0 | 0 | 0 | 0.53 | 1 | 2 | ||
10 | Nico Hischier | 0 | C | 45 | 10 | 9 | 19 | 0 | 14 | 0 | 60 | 102 | 23 | 75 | 9.80% | 7 | 17.10 | 1 | 5 | 6 | 149 | 0 | 0 | 0 | 11 | 4 | 0 | 51.87% | 856 | 0 | 0 | 0 | 0 | 0.49 | 0 | 3 | ||
11 | Jake Muzzin | 0 | D | 43 | 3 | 13 | 16 | -5 | 70 | 0 | 114 | 33 | 15 | 33 | 9.09% | 53 | 16.85 | 2 | 0 | 2 | 38 | 0 | 0 | 0 | 59 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
12 | Robby Fabbri | 0 | C/LW | 32 | 3 | 10 | 13 | 6 | 10 | 0 | 36 | 27 | 12 | 30 | 11.11% | 7 | 10.96 | 0 | 1 | 1 | 19 | 0 | 1 | 1 | 70 | 1 | 0 | 44.00% | 75 | 0 | 0 | 0 | 0 | 0.74 | 1 | 2 | ||
13 | Jake Virtanen | 0 | RW | 50 | 4 | 6 | 10 | -13 | 22 | 0 | 80 | 61 | 16 | 40 | 6.56% | 2 | 12.70 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 0 | 1 | 0 | 48.21% | 56 | 0 | 0 | 0 | 0 | 0.31 | 0 | 2 | ||
14 | Jordan Greenway | 0 | LW/RW | 49 | 5 | 4 | 9 | -8 | 23 | 5 | 54 | 47 | 17 | 20 | 10.64% | 3 | 11.76 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 101 | 0 | 0 | 35.29% | 34 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
15 | Nolan Patrick | 0 | C | 46 | 4 | 5 | 9 | -3 | 8 | 0 | 15 | 37 | 11 | 37 | 10.81% | 4 | 12.31 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 106 | 0 | 1 | 50.31% | 648 | 0 | 0 | 0 | 0 | 0.32 | 0 | 1 | ||
16 | Vladislav Gavrikov | 0 | D | 43 | 1 | 6 | 7 | 2 | 8 | 0 | 35 | 12 | 6 | 12 | 8.33% | 35 | 16.28 | 0 | 1 | 1 | 15 | 0 | 1 | 1 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
17 | Bobby Ryan | 0 | RW | 35 | 3 | 2 | 5 | 3 | 20 | 0 | 22 | 28 | 11 | 18 | 10.71% | 1 | 8.42 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 14 | 1 | 1 | 46.34% | 41 | 0 | 0 | 0 | 0 | 0.34 | 1 | 1 | ||
18 | Joe Thornton | 0 | C | 49 | 2 | 3 | 5 | -13 | 0 | 0 | 8 | 40 | 13 | 37 | 5.00% | 3 | 11.64 | 0 | 2 | 2 | 33 | 1 | 1 | 2 | 143 | 1 | 0 | 55.06% | 741 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
19 | Moritz Seider | 0 | D | 13 | 0 | 3 | 3 | 4 | 0 | 0 | 7 | 4 | 1 | 1 | 0.00% | 10 | 15.40 | 0 | 1 | 1 | 29 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
20 | Patrick Marleau | 0 | C/LW/RW | 49 | 1 | 1 | 2 | -12 | 10 | 0 | 24 | 56 | 11 | 32 | 1.79% | 3 | 8.84 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 46.30% | 54 | 0 | 0 | 0 | 0 | 0.09 | 1 | 1 | ||
21 | Michael Rasmussen | 0 | C/LW/RW | 14 | 0 | 1 | 1 | -2 | 4 | 0 | 15 | 8 | 2 | 3 | 0.00% | 1 | 9.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 76.92% | 13 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
Team Total or Average | 892 | 126 | 229 | 355 | -9 | 456 | 20 | 1101 | 1363 | 374 | 959 | 9.24% | 374 | 16.03 | 38 | 62 | 100 | 1772 | 1 | 3 | 4 | 1234 | 22 | 9 | 50.38% | 4256 | 0 | 0 | 0 | 0 | 0.50 | 8 | 26 |
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 | Matt Murray | 36 | 18 | 11 | 5 | 0.910 | 2.48 | 2060 | 6 | 2 | 85 | 941 | 0 | 3 | 0 | 0.750 | 16 | 35 | 14 | 5 | 2 | 1 | |
2 | Braden Holtby | 17 | 7 | 7 | 1 | 0.909 | 2.63 | 912 | 0 | 1 | 40 | 439 | 0 | 0 | 0 | 0.556 | 9 | 14 | 35 | 1 | 2 | 1 | |
Team Total or Average | 53 | 25 | 18 | 6 | 0.909 | 2.52 | 2973 | 6 | 3 | 125 | 1380 | 0 | 3 | 0 | 0.680 | 25 | 49 | 49 | 6 | 4 | 2 |
Projected Total Cap Hit | 80,754,999$ |
Projected Cap Space | 10,745,001$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 |
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Bobby Ryan ![]() | RW | 32 | 7,250,000$ | 7,250,000$ | |||||||
Braden Holtby ![]() | D | 30 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | |||||
Dustin Byfuglien ![]() | D | 35 | 7,600,000$ | 7,600,000$ | |||||||
Dylan Larkin ![]() | C | 23 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | |||||
Gustav Nyquist ![]() | LW/RW | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
Jake Muzzin ![]() | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Jake Virtanen ![]() | RW | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | |||||
Joe Thornton ![]() | C | 40 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Jordan Greenway ![]() | LW/RW | 23 | 1,225,000$ | 1,225,000$ | 1,225,000$ | 1,225,000$ | |||||
Mats Zuccarello ![]() | RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Matt Dumba ![]() | D | 25 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Matt Murray ![]() | RW | 25 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | |||||
Michael Rasmussen ![]() | C/LW/RW | 20 | 1,710,833$ | 1,710,833$ | 1,710,833$ | 1,710,833$ | |||||
Miro Heiskanen ![]() | D | 20 | 3,394,166$ | 3,394,166$ | 3,394,166$ | 3,394,166$ | |||||
Moritz Seider ![]() | D | 18 | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | |||||
Nico Hischier ![]() | C | 21 | 3,775,000$ | 3,775,000$ | 3,775,000$ | 3,775,000$ | |||||
Nolan Patrick ![]() | C | 21 | 3,575,000$ | 3,575,000$ | 3,575,000$ | 3,575,000$ | |||||
Patrick Marleau ![]() | C/LW/RW | 40 | 700,000$ | 700,000$ | |||||||
Robby Fabbri ![]() | C/LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Teuvo Teravainen ![]() | LW/RW | 25 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | |||||
Vladislav Gavrikov ![]() | D | 24 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | |||||
Vladislav Namestnikov ![]() | C/LW/RW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Zach Werenski ![]() | D | 22 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 62 | 13 | 25 | 24 | 0 | 58 | 11 | 24 | 36 | 10 | 0 | 0.00% | 12 | 7 | 41.67% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 54 | 39 | 41 | 13 | 23 | 11 | 57.1% | 6.5% | 82.8% | 89.2 | Unlucky | |
2 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 15 | 23 | 0 | 0 | 1 | 1 | 6 | 0 | 77 | 10 | 32 | 32 | 3 | 95 | 24 | 30 | 53 | 15 | 4 | 26.67% | 14 | 1 | 92.86% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 71 | 48 | 75 | 23 | 39 | 19 | 36.4% | 10.4% | 91.6% | 102.0 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 2 | 0 | 0 | 46 | 15 | 13 | 18 | 0 | 62 | 11 | 18 | 38 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 44 | 29 | 50 | 14 | 24 | 12 | 40.0% | 10.9% | 88.7% | 99.6 | FUN | |
4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 0.500 | 12 | 19 | 31 | 0 | 0 | 6 | 4 | 2 | 0 | 109 | 39 | 37 | 33 | 0 | 103 | 32 | 33 | 88 | 19 | 3 | 15.79% | 14 | 2 | 85.71% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 102 | 70 | 88 | 28 | 49 | 26 | 64.3% | 11.0% | 93.2% | 104.2 | LUCKY | |
5 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.500 | 10 | 18 | 28 | 0 | 0 | 4 | 2 | 4 | 0 | 109 | 38 | 30 | 41 | 0 | 95 | 32 | 24 | 107 | 21 | 5 | 23.81% | 10 | 4 | 60.00% | 1 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 101 | 71 | 90 | 26 | 48 | 24 | 50.0% | 9.2% | 90.5% | 99.7 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 26 | 8 | 4 | 14 | 0 | 36 | 11 | 11 | 22 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 22 | 15 | 25 | 7 | 11 | 6 | 25.0% | 15.4% | 83.3% | 98.7 | FUN | |
7 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 6 | 12 | 8 | 1.000 | 18 | 33 | 51 | 0 | 1 | 5 | 6 | 7 | 0 | 126 | 43 | 41 | 42 | 0 | 98 | 29 | 36 | 84 | 30 | 5 | 16.67% | 18 | 2 | 88.89% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 92 | 62 | 99 | 31 | 47 | 24 | 76.5% | 14.3% | 93.9% | 108.2 | LUCKY | |
8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 1 | 3 | 1 | 40 | 9 | 17 | 12 | 2 | 49 | 13 | 28 | 52 | 6 | 3 | 50.00% | 12 | 1 | 91.67% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 48 | 32 | 48 | 15 | 24 | 12 | 60.0% | 15.0% | 93.9% | 108.9 | LUCKY | |
9 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 11 | 9 | 2 | 5 | 0.833 | 11 | 17 | 28 | 0 | 0 | 4 | 2 | 4 | 1 | 100 | 26 | 30 | 39 | 12 | 79 | 24 | 31 | 62 | 22 | 3 | 13.64% | 11 | 2 | 81.82% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 81 | 56 | 68 | 22 | 39 | 21 | 53.3% | 11.0% | 88.6% | 99.6 | FUN | |
10 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 1 | 1 | 67 | 18 | 10 | 38 | 1 | 45 | 11 | 24 | 39 | 11 | 2 | 18.18% | 10 | 1 | 90.00% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 49 | 34 | 48 | 15 | 24 | 12 | 44.4% | 9.0% | 86.7% | 95.6 | FUN | |
11 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 20 | 31 | 0 | 1 | 2 | 5 | 4 | 0 | 118 | 34 | 45 | 39 | 0 | 106 | 33 | 26 | 89 | 18 | 2 | 11.11% | 12 | 4 | 66.67% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 102 | 73 | 88 | 28 | 49 | 25 | 64.3% | 9.3% | 91.5% | 100.8 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 43 | 14 | 16 | 13 | 0 | 72 | 15 | 28 | 43 | 4 | 0 | 0.00% | 14 | 2 | 85.71% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 43 | 29 | 52 | 15 | 23 | 11 | 33.3% | 2.3% | 94.4% | 96.8 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 55 | 20 | 18 | 17 | 0 | 51 | 13 | 12 | 47 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 48 | 33 | 46 | 15 | 24 | 12 | 62.5% | 9.1% | 92.2% | 101.2 | LUCKY | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 2 | 30 | 9 | 7 | 9 | 13 | 35 | 13 | 8 | 17 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 24 | 16 | 27 | 6 | 13 | 6 | 44.4% | 13.3% | 85.7% | 99.0 | FUN | |
15 | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 8 | 12 | -4 | 4 | 0.500 | 8 | 12 | 20 | 0 | 0 | 1 | 3 | 2 | 6 | 114 | 45 | 32 | 34 | 12 | 107 | 25 | 28 | 96 | 17 | 1 | 5.88% | 13 | 2 | 84.62% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 96 | 67 | 97 | 31 | 53 | 25 | 41.2% | 7.0% | 88.8% | 95.8 | Unlucky | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 53 | 16 | 18 | 19 | 0 | 48 | 12 | 12 | 55 | 11 | 1 | 9.09% | 6 | 1 | 83.33% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 47 | 33 | 49 | 15 | 22 | 11 | 33.3% | 5.7% | 89.6% | 95.2 | Unlucky | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 0.667 | 8 | 13 | 21 | 0 | 1 | 3 | 3 | 2 | 0 | 68 | 19 | 21 | 28 | 0 | 106 | 31 | 24 | 72 | 12 | 3 | 25.00% | 12 | 1 | 91.67% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 68 | 47 | 75 | 22 | 36 | 17 | 71.4% | 11.8% | 97.2% | 108.9 | LUCKY | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 12 | 10 | 9 | 0 | 35 | 16 | 14 | 22 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 23 | 15 | 23 | 6 | 12 | 6 | 0.0% | 3.2% | 85.7% | 88.9 | Unlucky | |
19 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 3 | 0.500 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 57 | 22 | 17 | 16 | 2 | 100 | 24 | 24 | 65 | 10 | 0 | 0.00% | 12 | 2 | 83.33% | 1 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 63 | 41 | 82 | 23 | 39 | 18 | 46.2% | 10.5% | 91.0% | 101.5 | FUN | |
_Vs Division | 13 | 5 | 4 | 0 | 1 | 0 | 2 | 1 | 38 | 31 | 7 | 17 | 0.654 | 38 | 64 | 102 | 0 | 1 | 10 | 11 | 14 | 7 | 383 | 128 | 119 | 128 | 24 | 356 | 93 | 123 | 285 | 73 | 9 | 12.33% | 56 | 8 | 85.71% | 0 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 314 | 215 | 318 | 101 | 164 | 82 | 55.8% | 9.9% | 91.3% | 101.2 | LUCKY | |
_Vs Conference | 27 | 9 | 9 | 0 | 2 | 4 | 2 | 1 | 74 | 71 | 3 | 31 | 0.574 | 74 | 126 | 200 | 0 | 1 | 21 | 22 | 27 | 8 | 755 | 230 | 240 | 271 | 30 | 757 | 195 | 258 | 566 | 138 | 18 | 13.04% | 118 | 21 | 82.20% | 1 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 654 | 449 | 654 | 205 | 342 | 171 | 52.8% | 9.8% | 90.6% | 100.4 | FUN | |
_Since Last GM Reset | 49 | 20 | 18 | 0 | 3 | 4 | 2 | 2 | 131 | 127 | 4 | 56 | 0.571 | 131 | 229 | 360 | 0 | 3 | 40 | 43 | 43 | 11 | 1331 | 410 | 423 | 477 | 45 | 1380 | 380 | 435 | 1087 | 226 | 36 | 15.93% | 197 | 36 | 81.73% | 2 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 1185 | 821 | 1181 | 365 | 610 | 306 | 51.1% | 9.8% | 90.8% | 100.6 | FUN | |
Total | 49 | 20 | 18 | 0 | 3 | 4 | 2 | 2 | 131 | 127 | 4 | 56 | 0.571 | 131 | 229 | 360 | 0 | 3 | 40 | 43 | 43 | 11 | 1331 | 410 | 423 | 477 | 45 | 1380 | 380 | 435 | 1087 | 226 | 36 | 15.93% | 197 | 36 | 81.73% | 2 | 867 | 1642 | 52.80% | 803 | 1687 | 47.60% | 354 | 696 | 50.86% | 1185 | 821 | 1181 | 365 | 610 | 306 | 51.1% | 9.8% | 90.8% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1642 |
Neutral Zone Start | 696 |
Defensive Zone Start | 1687 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2024 |
Faceoffs Lost | 2001 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 17.0 | 20.31 |
3rd Period | 26.7 | 30.68 |
Overtime | 27.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 93 |
---|---|
PP Goal | 36 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 15 | 10 |
Lost | 8 | 10 |
Overtime Lost | 2 | 4 |
PP Attempt | 226 |
---|---|
PP Goal | 36 |
PK Attempt | 197 |
PK Goal Against | 36 |
Home | |
---|---|
Shots For | 27.2 |
Shots Against | 28.2 |
Goals For | 2.7 |
Goals Against | 2.6 |
Hits | 22.2 |
Shots Blocked | 7.8 |
Pim | 8.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-21 | @ | Capitals2,Red Wings1 (OT) | RECAP | ||
2020-11-23 | @ | Red Wings1,Blackhawks2 | RECAP | ||
2020-11-24 | @ | Avalanche3,Red Wings6 | RECAP | ||
2020-11-26 | @ | Red Wings2,Bruins0 | RECAP | ||
2020-11-28 | @ | Blackhawks2,Red Wings0 | RECAP | ||
2020-12-01 | @ | Red Wings2,Senators5 | RECAP | ||
2020-12-03 | @ | Predators4,Red Wings5 (SO) | RECAP | ||
2020-12-04 | @ | Red Wings1,Jets3 | RECAP | ||
2020-12-07 | @ | Jets4,Red Wings0 | RECAP | ||
2020-12-09 | @ | Red Wings4,Hurricanes2 | RECAP | ||
2020-12-10 | @ | Islanders3,Red Wings2 | RECAP | ||
2020-12-12 | @ | Maple Leafs1,Red Wings2 (OT) | RECAP | ||
2020-12-14 | @ | Red Wings4,Predators2 | RECAP | ||
2020-12-16 | @ | Red Wings3,Flames5 | RECAP | ||
2020-12-18 | @ | Red Wings5,Penguins1 | RECAP | ||
2020-12-20 | @ | Kings1,Red Wings4 | RECAP | ||
2020-12-21 | @ | Red Wings5,Avalanche2 | RECAP | ||
2020-12-23 | @ | Golden Knights1,Red Wings3 | RECAP | ||
2020-12-25 | @ | Red Wings1,Penguins2 | RECAP | ||
2020-12-27 | @ | Red Wings2,Hurricanes3 | RECAP | ||
2020-12-28 | @ | Hurricanes2,Red Wings3 | RECAP | ||
2021-01-01 | @ | Oilers3,Red Wings4 (OT) | RECAP | ||
2021-01-04 | @ | Red Wings1,Flames5 | RECAP | ||
2021-01-06 | @ | Oilers3,Red Wings2 (OT) | RECAP | ||
2021-01-08 | @ | Hurricanes2,Red Wings1 | RECAP | ||
2021-01-09 | @ | Red Wings2,Predators3 (SO) | RECAP | ||
2021-01-11 | @ | Red Wings3,Bruins5 | RECAP | ||
2021-01-13 | @ | Islanders1,Red Wings3 | RECAP | ||
2021-01-14 | @ | Red Wings6,Kings2 | RECAP | ||
2021-01-16 | @ | Bruins2,Red Wings3 | RECAP | ||
2021-01-18 | @ | Red Wings0,Kings1 | RECAP | ||
2021-01-20 | @ | Canadiens1,Red Wings2 | RECAP | ||
2021-01-22 | @ | Red Wings1,Canadiens4 | RECAP | ||
2021-01-24 | @ | Penguins0,Red Wings2 | RECAP | ||
2021-01-26 | @ | Jets4,Red Wings5 (OT) | RECAP | ||
2021-01-28 | @ | Red Wings2,Jets1 (SO) | RECAP | ||
2021-01-29 | @ | Red Wings3,Golden Knights4 (OT) | RECAP | ||
2021-01-31 | @ | Golden Knights4,Red Wings0 | RECAP | ||
2021-02-03 | @ | Panthers5,Red Wings1 | RECAP | ||
2021-02-05 | @ | Red Wings3,Capitals4 (OT) | RECAP | ||
2021-02-07 | @ | Bruins2,Red Wings3 | RECAP | ||
2021-02-10 | @ | Red Wings4,Sabres5 (SO) | RECAP | ||
2021-02-13 | @ | Maple Leafs2,Red Wings4 | RECAP | ||
2021-02-14 | @ | Red Wings3,Senators2 | RECAP | ||
2021-02-16 | @ | Red Wings4,Avalanche0 | RECAP | ||
2021-02-18 | @ | Rangers6,Red Wings4 | RECAP | ||
2021-02-20 | @ | Kings3,Red Wings2 | RECAP | ||
2021-02-23 | @ | Avalanche1,Red Wings3 | RECAP | ||
2021-02-24 | @ | Red Wings4,Capitals2 | RECAP | ||
2021-02-26 | @ | ||||
2021-02-28 | @ | ||||
2021-03-02 | @ | ||||
2021-03-03 | @ | ||||
2021-03-05 | @ | ||||
2021-03-07 | @ | ||||
2021-03-09 | @ | ||||
2021-03-11 | @ | ||||
2021-03-14 | @ | ||||
2021-03-16 | @ | ||||
2021-03-17 | @ | ||||
2021-03-19 | @ | ||||
2021-03-20 | @ | ||||
2021-03-23 | @ | ||||
2021-03-25 | @ | ||||
2021-03-26 | @ | ||||
2021-03-27 | @ | ||||
2021-03-30 | @ | ||||
2021-03-31 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-05 | @ | ||||
2021-04-08 | @ | ||||
2021-04-10 | @ | ||||
2021-04-11 | @ | ||||
2021-04-13 | @ | ||||
2021-04-15 | @ | ||||
2021-04-17 | @ | ||||
2021-04-18 | @ | ||||
2021-04-20 | @ | ||||
2021-04-21 | @ | ||||
2021-04-25 | @ | ||||
2021-05-01 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,754,999$ | 0$ | 80,754,999$ | 10,745,001$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Little Caesars 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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
16 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,754,999$ | 80,754,999$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 80,754,999$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 68 | 498,559$ | 33,902,012$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
47,358,328$ | 80,754,999$ | 9,999,997$ | -37,358,331$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Carter Gylander | |||||
Greg Meireles | |||||
Jonatan Berggren | |||||
Nils Hoglander | |||||
Patrick Moynihan | |||||
Ville Heinola |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Carter Gylander | |||||
Greg Meireles | |||||
Jonatan Berggren | |||||
Nils Hoglander | |||||
Patrick Moynihan | |||||
Ville Heinola |
|