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Full Scoreboard »» |
Grand Rapids Griffins 35-39-3, 73pts · 13th in WESTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 51 | C/LW | 99.00 | 61 | 41 | 90 | 84 | 67 | 77 | 81 | 76 | 81 | 77 | 64 | 68 | 73 | 99 | 99 | 30 | 59 | 72 | 32 | 700,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 70 | 66 | 80 | 83 | 65 | 86 | 82 | 25 | 65 | 65 | 75 | 72 | 99 | 99 | 18 | 55 | 72 | 33 | 700,000$/1yrs | |||
![]() | 37 | C/LW/RW | 97.00 | 45 | 26 | 90 | 83 | 63 | 76 | 76 | 73 | 79 | 83 | 73 | 69 | 69 | 99 | 99 | 36 | 57 | 72 | 32 | 1,250,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 47 | 42 | 97 | 90 | 68 | 59 | 52 | 90 | 71 | 85 | 87 | 74 | 80 | 50 | 50 | 91 | 27 | 72 | 21 | 1,650,000$/6yrs | |||
![]() | 62 | C/LW | 100.00 | 97 | 95 | 52 | 74 | 85 | 84 | 79 | 83 | 83 | 60 | 57 | 73 | 61 | 99 | 98 | 48 | 53 | 71 | 31 | 700,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 95 | 93 | 52 | 87 | 85 | 71 | 70 | 68 | 25 | 61 | 59 | 68 | 66 | 92 | 89 | 67 | 55 | 68 | 26 | 900,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 41 | 96 | 85 | 70 | 67 | 77 | 70 | 25 | 63 | 59 | 72 | 67 | 93 | 90 | 49 | 60 | 67 | 30 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 46 | 95 | 86 | 82 | 69 | 85 | 73 | 73 | 58 | 51 | 71 | 40 | 75 | 75 | 52 | 61 | 66 | 29 | 700,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 32 | 98 | 72 | 80 | 70 | 76 | 69 | 25 | 59 | 59 | 71 | 65 | 99 | 98 | 36 | 59 | 66 | 32 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 53 | 31 | 94 | 73 | 71 | 81 | 78 | 70 | 25 | 58 | 52 | 66 | 62 | 99 | 99 | 37 | 25 | 65 | 32 | 800,000$/3yrs | |||
![]() | 46 | D | 100.00 | 70 | 37 | 86 | 70 | 84 | 68 | 75 | 78 | 25 | 56 | 53 | 74 | 57 | 99 | 99 | 3 | 50 | 71 | 35 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 90 | 84 | 56 | 65 | 99 | 73 | 72 | 74 | 33 | 54 | 49 | 71 | 52 | 96 | 93 | 49 | 53 | 71 | 29 | 700,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 75 | 63 | 77 | 80 | 71 | 70 | 70 | 25 | 58 | 55 | 72 | 57 | 95 | 99 | 58 | 60 | 71 | 29 | 700,000$/2yrs | |||
![]() | 37 | D | 100.00 | 56 | 25 | 94 | 71 | 70 | 71 | 70 | 79 | 25 | 72 | 67 | 78 | 57 | 99 | 99 | 18 | 60 | 71 | 35 | 700,000$/1yrs | |||
![]() | 82 | D | 100.00 | 80 | 68 | 67 | 80 | 74 | 72 | 70 | 70 | 25 | 66 | 59 | 74 | 59 | 92 | 90 | 64 | 60 | 71 | 27 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 92 | 81 | 55 | 64 | 95 | 66 | 70 | 74 | 25 | 54 | 48 | 69 | 56 | 99 | 99 | 20 | 38 | 70 | 33 | 700,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 24 | LW/RW | 96.00 | 55 | 34 | 98 | 84 | 69 | 78 | 82 | 77 | 25 | 71 | 69 | 77 | 74 | 99 | 97 | 35 | 44 | 72 | 31 | 700,000$/1yrs | |||
![]() | 0 | LW/RW | 95.00 | 96 | 94 | 52 | 69 | 77 | 76 | 69 | 78 | 25 | 73 | 72 | 67 | 68 | 99 | 99 | 37 | 65 | 71 | 31 | 700,000$/1yrs | |||
![]() | 0 | LW | 97.00 | 98 | 96 | 54 | 76 | 94 | 78 | 85 | 72 | 70 | 61 | 62 | 76 | 68 | 89 | 87 | 44 | 53 | 71 | 31 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 92 | 82 | 59 | 74 | 82 | 59 | 75 | 69 | 78 | 58 | 53 | 64 | 61 | 89 | 91 | 61 | 17 | 65 | 29 | 900,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 45 | 86 | 68 | 82 | 66 | 72 | 67 | 67 | 56 | 56 | 69 | 61 | 95 | 98 | 49 | 20 | 65 | 30 | 850,000$/3yrs | |||
![]() | 0 | C | 100.00 | 50 | 44 | 82 | 80 | 65 | 78 | 95 | 67 | 83 | 77 | 45 | 65 | 47 | 50 | 50 | 90 | 20 | 63 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 72 | 64 | 76 | 69 | 74 | 69 | 79 | 25 | 71 | 65 | 61 | 58 | 89 | 94 | 58 | 22 | 70 | 28 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 55 | 68 | 68 | 77 | 72 | 68 | 73 | 25 | 60 | 54 | 70 | 58 | 93 | 91 | 50 | 20 | 68 | 30 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 26 | 89 | 68 | 72 | 68 | 70 | 70 | 25 | 60 | 56 | 74 | 58 | 91 | 94 | 52 | 20 | 67 | 29 | 900,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 34 | 100.00 | 72 | 71 | 73 | 69 | 71 | 95 | 94 | 94 | 95 | 72 | 74 | 98 | 99 | 39 | 79 | 82 | 30 | 1,300,000$/3yrs |
![]() | 35 | 100.00 | 75 | 72 | 75 | 66 | 72 | 90 | 91 | 90 | 91 | 74 | 72 | 91 | 89 | 50 | 52 | 80 | 29 | 750,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 66 | 69 | 67 | 76 | 70 | 84 | 81 | 88 | 85 | 73 | 75 | 73 | 73 | 64 | 20 | 75 | 26 | 875,000$/5yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager |
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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 | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tobias Rieder | LW/RW | 66 | 22 | 31 | 53 | 9 | 4 | 0 | 6 | 193 | 63 | 158 | 11.40% | 23 | 18.87 | 2 | 4 | 6 | 99 | 0 | 0 | 0 | 127 | 3 | 0 | 32.23% | 903 | 0 | 0 | 0 | 0 | 0.85 | 0 | 2 | ||
2 | Brent Regner | D | 77 | 10 | 33 | 43 | 1 | 4 | 0 | 5 | 132 | 46 | 80 | 7.58% | 114 | 22.06 | 5 | 3 | 8 | 150 | 0 | 0 | 0 | 244 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
3 | Ryan Spooner | C/LW | 63 | 15 | 27 | 42 | 10 | 0 | 0 | 21 | 168 | 44 | 110 | 8.93% | 10 | 20.91 | 3 | 4 | 7 | 127 | 0 | 0 | 0 | 145 | 2 | 0 | 56.98% | 946 | 0 | 0 | 1 | 0 | 0.64 | 0 | 2 | ||
4 | Alex Chiasson | LW/RW | 64 | 20 | 22 | 42 | 7 | 38 | 0 | 149 | 173 | 48 | 114 | 11.56% | 23 | 18.85 | 3 | 2 | 5 | 96 | 0 | 0 | 0 | 111 | 5 | 0 | 29.44% | 479 | 0 | 0 | 0 | 0 | 0.70 | 0 | 2 | ||
5 | Yanni Gourde | C/LW/RW | 74 | 19 | 19 | 38 | -14 | 0 | 0 | 7 | 195 | 42 | 127 | 9.74% | 13 | 18.10 | 2 | 2 | 4 | 117 | 0 | 0 | 0 | 179 | 1 | 3 | 56.93% | 606 | 0 | 0 | 1 | 0 | 0.57 | 0 | 0 | ||
6 | Michael Mersch | LW/RW | 76 | 14 | 23 | 37 | -3 | 86 | 20 | 250 | 176 | 49 | 139 | 7.95% | 16 | 16.02 | 1 | 5 | 6 | 95 | 0 | 0 | 0 | 87 | 0 | 2 | 31.30% | 377 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | ||
7 | Caleb Jones | D | 77 | 5 | 32 | 37 | -12 | 30 | 0 | 127 | 100 | 35 | 75 | 5.00% | 112 | 21.94 | 2 | 9 | 11 | 155 | 0 | 0 | 0 | 256 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
8 | Dylan Guenther | RW | 60 | 15 | 16 | 31 | -6 | 2 | 0 | 10 | 181 | 44 | 114 | 8.29% | 4 | 13.06 | 1 | 2 | 3 | 42 | 0 | 0 | 0 | 45 | 3 | 1 | 49.43% | 435 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | ||
9 | Riley Tufte | LW | 76 | 12 | 19 | 31 | 3 | 61 | 5 | 189 | 134 | 35 | 115 | 8.96% | 11 | 17.61 | 3 | 5 | 8 | 125 | 0 | 0 | 0 | 188 | 2 | 1 | 57.40% | 169 | 0 | 0 | 0 | 0 | 0.46 | 1 | 4 | ||
10 | Michael Downing | D | 77 | 3 | 27 | 30 | 1 | 118 | 0 | 334 | 62 | 24 | 51 | 4.84% | 114 | 22.86 | 1 | 3 | 4 | 145 | 0 | 0 | 0 | 204 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
11 | Joseph LaBate | C/LW | 76 | 14 | 14 | 28 | 1 | 57 | 5 | 123 | 130 | 41 | 105 | 10.77% | 8 | 13.98 | 0 | 3 | 3 | 86 | 0 | 0 | 0 | 45 | 1 | 1 | 61.90% | 441 | 0 | 0 | 0 | 0 | 0.53 | 0 | 1 | ||
12 | Borna Rendulic | LW/RW | 77 | 12 | 15 | 27 | -2 | 0 | 0 | 5 | 95 | 27 | 70 | 12.63% | 16 | 16.20 | 2 | 1 | 3 | 55 | 0 | 0 | 0 | 59 | 0 | 1 | 33.55% | 1222 | 0 | 0 | 0 | 0 | 0.43 | 0 | 2 | ||
13 | Erik Burgdoerfer | D | 77 | 6 | 21 | 27 | 5 | 22 | 0 | 36 | 64 | 19 | 31 | 9.38% | 114 | 18.64 | 0 | 0 | 0 | 97 | 0 | 0 | 0 | 189 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
14 | Bogdan Yakimov | C | 76 | 10 | 12 | 22 | -3 | 8 | 0 | 21 | 95 | 24 | 64 | 10.53% | 7 | 10.12 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 47 | 3 | 1 | 51.91% | 890 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
15 | Charles Hudon | LW/RW | 77 | 6 | 13 | 19 | 0 | 0 | 0 | 1 | 120 | 29 | 81 | 5.00% | 7 | 10.72 | 0 | 2 | 2 | 36 | 0 | 0 | 0 | 21 | 3 | 0 | 35.23% | 88 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | ||
16 | Keegan Kanzig | D | 73 | 2 | 12 | 14 | -5 | 108 | 0 | 251 | 39 | 8 | 26 | 5.13% | 76 | 18.44 | 0 | 1 | 1 | 62 | 0 | 0 | 0 | 143 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Max Jones | LW/RW | 49 | 5 | 9 | 14 | -2 | 43 | 5 | 79 | 71 | 14 | 70 | 7.04% | 3 | 12.56 | 2 | 1 | 3 | 31 | 0 | 0 | 0 | 16 | 1 | 0 | 36.84% | 76 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
18 | Oleg Yevenko | D | 54 | 0 | 9 | 9 | 0 | 92 | 0 | 190 | 23 | 8 | 13 | 0.00% | 36 | 14.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
19 | Mark Friedman | D | 21 | 1 | 6 | 7 | 8 | 45 | 5 | 54 | 10 | 7 | 5 | 10.00% | 8 | 15.83 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 13 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
20 | Joel Vermin | RW | 52 | 4 | 2 | 6 | -8 | 2 | 0 | 16 | 27 | 5 | 23 | 14.81% | 3 | 6.35 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 33.33% | 21 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
21 | Sam Vigneault | C | 15 | 0 | 0 | 0 | -1 | 6 | 0 | 7 | 2 | 0 | 4 | 0.00% | 4 | 5.67 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 16 | 0 | 0 | 48.98% | 49 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Hampus Gustafsson | C/LW | 19 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 2 | 0.00% | 0 | 0.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
23 | Matthew Poitras | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 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 | 1380 | 195 | 362 | 557 | -12 | 726 | 40 | 1881 | 2190 | 612 | 1577 | 8.90% | 722 | 16.27 | 27 | 47 | 74 | 1563 | 0 | 0 | 0 | 2157 | 34 | 13 | 44.48% | 6702 | 0 | 0 | 2 | 0 | 0.50 | 1 | 17 |
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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Hunter Miska | 61 | 61 | 25 | 32 | 3 | 0.912 | 3.01 | -6.1 | 3548 | 4 | 2 | 178 | 2022 | 0 | 1 | 3 | 0.786 | 14 | 61 | 16 | 7 | 4 | 3 | |
2 | Nick Ellis | 21 | 16 | 10 | 7 | 0 | 0.921 | 2.74 | 3.7 | 1097 | 0 | 0 | 50 | 632 | 0 | 0 | 0 | 1.000 | 3 | 16 | 60 | 1 | 1 | 0 | |
Team Total or Average | 82 | 35 | 39 | 3 | 0.914 | 2.95 | 4645 | 4 | 2 | 228 | 2654 | 0 | 1 | 3 | 0.824 | 17 | 77 | 76 | 8 | 5 | 3 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Alex Chiasson | LW/RW | 33 | $700,000 | |||||||
Bogdan Yakimov | C | 29 | $700,000 | |||||||
Borna Rendulic | LW/RW | 32 | $750,000 | |||||||
Brent Regner | D | 35 | $700,000 | |||||||
Caleb Jones | D | 27 | $1,000,000 | $1,000,000 | $1,000,000 | |||||
Charles Hudon | LW/RW | 30 | $700,000 | |||||||
Dylan Guenther | RW | 21 | $1,650,000 | $1,650,000 | $1,650,000 | $1,650,000 | $1,650,000 | $1,650,000 | ||
Erik Burgdoerfer | D | 35 | $700,000 | |||||||
Hampus Gustafsson | C/LW | 30 | $850,000 | $850,000 | $850,000 | |||||
Hunter Miska | G | 29 | $750,000 | $750,000 | $750,000 | |||||
Jack Lafontaine | G | 26 | $875,000 | $875,000 | $875,000 | $875,000 | $875,000 | |||
Joel Vermin | RW | 32 | $800,000 | $800,000 | $800,000 | |||||
Joseph LaBate | C/LW | 31 | $700,000 | |||||||
Josh Healey | D | 30 | $700,000 | |||||||
Keegan Kanzig | D | 29 | $700,000 | $700,000 | $700,000 | |||||
Mark Friedman | D | 28 | $700,000 | |||||||
Matthew Poitras | C | 20 | $925,000 | $925,000 | $925,000 | |||||
Max Jones | LW/RW | 26 | $900,000 | $900,000 | $900,000 | |||||
Michael Downing | D | 29 | $700,000 | $700,000 | ||||||
Michael Mersch | LW/RW | 31 | $700,000 | |||||||
Nick DeSimone | D | 29 | $900,000 | $900,000 | $900,000 | |||||
Nick Ellis | G | 30 | $1,300,000 | $1,300,000 | $1,300,000 | |||||
Oleg Yevenko | D | 33 | $700,000 | |||||||
Riley Tufte | LW | 31 | $700,000 | |||||||
Ryan Spooner | C/LW | 32 | $700,000 | |||||||
Sam Vigneault | C | 29 | $900,000 | $900,000 | $900,000 | |||||
Tobias Rieder | LW/RW | 31 | $700,000 | |||||||
Yanni Gourde | C/LW/RW | 32 | $1,250,000 | $1,250,000 | $1,250,000 |
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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 |
# | 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 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 70 | 69 | 52 | 7 | 57 | 779 | 738 | 668 | 36 | 75 | 18 | 22 | 44 | 5 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 14.3% | 1.8% | 89.3% | 91.1 | Unlucky | |
2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 70 | 69 | 52 | 7 | 87 | 779 | 738 | 668 | 36 | 101 | 33 | 20 | 83 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 53.3% | 10.3% | 91.1% | 101.4 | Unlucky | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 70 | 69 | 52 | 7 | 57 | 779 | 738 | 668 | 36 | 69 | 26 | 18 | 55 | 3 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 54.5% | 10.5% | 89.9% | 100.4 | FUN | |
4 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 70 | 69 | 52 | 7 | 89 | 779 | 738 | 668 | 36 | 104 | 26 | 42 | 64 | 4 | 0 | 0.00% | 21 | 4 | 80.95% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 41.7% | 5.6% | 89.4% | 95.0 | Unlucky | |
5 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 70 | 69 | 52 | 7 | 51 | 779 | 738 | 668 | 36 | 56 | 21 | 17 | 47 | 9 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 55.6% | 9.8% | 91.1% | 100.9 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 70 | 69 | 52 | 7 | 68 | 779 | 738 | 668 | 36 | 47 | 12 | 12 | 35 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 53.8% | 11.8% | 87.2% | 99.0 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 70 | 69 | 52 | 7 | 25 | 779 | 738 | 668 | 36 | 47 | 9 | 20 | 15 | 4 | 2 | 50.00% | 10 | 1 | 90.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 50.0% | 12.0% | 95.7% | 107.7 | LUCKY | |
8 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 7 | -5 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 70 | 69 | 52 | 7 | 37 | 779 | 738 | 668 | 36 | 56 | 16 | 16 | 40 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 12.5% | 5.4% | 87.5% | 92.9 | Unlucky | |
9 | 7 | 3 | 2 | 0 | 1 | 0 | 0 | 1 | 15 | 15 | 0 | 9 | 0.643 | 15 | 29 | 44 | 1 | 0 | 70 | 69 | 52 | 7 | 206 | 779 | 738 | 668 | 36 | 266 | 65 | 65 | 193 | 19 | 0 | 0.00% | 29 | 5 | 82.76% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 60.0% | 7.3% | 94.4% | 101.6 | DULL | |
10 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 70 | 69 | 52 | 7 | 52 | 779 | 738 | 668 | 36 | 57 | 17 | 39 | 60 | 7 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 57.1% | 7.7% | 91.2% | 98.9 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 70 | 69 | 52 | 7 | 21 | 779 | 738 | 668 | 36 | 39 | 7 | 6 | 30 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 33.3% | 14.3% | 84.6% | 98.9 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 70 | 69 | 52 | 7 | 31 | 779 | 738 | 668 | 36 | 36 | 12 | 12 | 23 | 2 | 2 | 100.00% | 5 | 1 | 80.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 100.0% | 9.7% | 97.2% | 106.9 | LUCKY | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 70 | 69 | 52 | 7 | 23 | 779 | 738 | 668 | 36 | 29 | 8 | 6 | 27 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 60.0% | 13.0% | 93.1% | 106.1 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 70 | 69 | 52 | 7 | 42 | 779 | 738 | 668 | 36 | 30 | 12 | 4 | 32 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 66.7% | 11.9% | 90.0% | 101.9 | FUN | |
15 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 21 | -8 | 2 | 0.200 | 13 | 24 | 37 | 0 | 0 | 70 | 69 | 52 | 7 | 146 | 779 | 738 | 668 | 36 | 165 | 52 | 66 | 122 | 11 | 1 | 9.09% | 31 | 11 | 64.52% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 54.5% | 8.9% | 87.3% | 96.2 | Unlucky | |
16 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 70 | 69 | 52 | 7 | 33 | 779 | 738 | 668 | 36 | 28 | 6 | 6 | 24 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 50.0% | 12.1% | 89.3% | 101.4 | FUN | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 70 | 69 | 52 | 7 | 54 | 779 | 738 | 668 | 36 | 63 | 19 | 29 | 50 | 6 | 2 | 33.33% | 12 | 4 | 66.67% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 54.5% | 14.8% | 85.7% | 100.5 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 70 | 69 | 52 | 7 | 26 | 779 | 738 | 668 | 36 | 24 | 9 | 8 | 17 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 60.0% | 11.5% | 91.7% | 103.2 | LUCKY | |
19 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 11 | 6 | 8 | 0.667 | 17 | 32 | 49 | 0 | 0 | 70 | 69 | 52 | 7 | 163 | 779 | 738 | 668 | 36 | 200 | 50 | 32 | 143 | 19 | 4 | 21.05% | 16 | 1 | 93.75% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 56.5% | 10.4% | 94.5% | 104.9 | LUCKY | |
20 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 19 | 5 | 8 | 0.571 | 24 | 45 | 69 | 0 | 0 | 70 | 69 | 52 | 7 | 217 | 779 | 738 | 668 | 36 | 255 | 69 | 78 | 159 | 18 | 3 | 16.67% | 32 | 5 | 84.38% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 60.0% | 11.1% | 92.5% | 103.6 | LUCKY | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 70 | 69 | 52 | 7 | 31 | 779 | 738 | 668 | 36 | 46 | 4 | 14 | 27 | 1 | 1 | 100.00% | 7 | 2 | 71.43% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 40.0% | 9.7% | 89.1% | 98.8 | FUN | |
22 | 7 | 1 | 4 | 0 | 1 | 0 | 0 | 1 | 14 | 27 | -13 | 5 | 0.357 | 14 | 24 | 38 | 0 | 0 | 70 | 69 | 52 | 7 | 190 | 779 | 738 | 668 | 36 | 278 | 66 | 68 | 161 | 12 | 2 | 16.67% | 33 | 7 | 78.79% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 37.5% | 7.4% | 90.3% | 97.7 | Unlucky | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 70 | 69 | 52 | 7 | 33 | 779 | 738 | 668 | 36 | 31 | 6 | 4 | 21 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 50.0% | 15.2% | 90.3% | 105.5 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 70 | 69 | 52 | 7 | 26 | 779 | 738 | 668 | 36 | 54 | 12 | 14 | 19 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 20.0% | 7.7% | 92.6% | 100.3 | DULL | |
25 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 70 | 69 | 52 | 7 | 28 | 779 | 738 | 668 | 36 | 28 | 14 | 2 | 25 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 50.0% | 10.7% | 92.9% | 103.6 | LUCKY | |
26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 70 | 69 | 52 | 7 | 29 | 779 | 738 | 668 | 36 | 21 | 7 | 4 | 31 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 50.0% | 3.4% | 90.5% | 93.9 | Unlucky | |
27 | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 12 | 13 | -1 | 5 | 0.417 | 12 | 22 | 34 | 1 | 1 | 70 | 69 | 52 | 7 | 174 | 779 | 738 | 668 | 36 | 203 | 64 | 46 | 145 | 9 | 1 | 11.11% | 22 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 45.8% | 6.9% | 93.6% | 100.5 | DULL | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 70 | 69 | 52 | 7 | 55 | 779 | 738 | 668 | 36 | 73 | 18 | 8 | 53 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 33.3% | 5.5% | 89.0% | 94.5 | Unlucky | |
29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 70 | 69 | 52 | 7 | 40 | 779 | 738 | 668 | 36 | 28 | 12 | 12 | 29 | 5 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 50.0% | 2.5% | 85.7% | 88.2 | Unlucky | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 70 | 69 | 52 | 7 | 50 | 779 | 738 | 668 | 36 | 69 | 31 | 20 | 51 | 1 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 62.5% | 20.0% | 91.3% | 111.3 | LUCKY | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 70 | 69 | 52 | 7 | 63 | 779 | 738 | 668 | 36 | 79 | 17 | 22 | 56 | 3 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 37.5% | 4.8% | 89.9% | 94.6 | Unlucky | |
_Vs Division | 9 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 32 | -4 | 8 | 0.444 | 28 | 51 | 79 | 0 | 0 | 70 | 69 | 52 | 7 | 260 | 779 | 738 | 668 | 36 | 313 | 82 | 91 | 229 | 20 | 7 | 35.00% | 41 | 9 | 78.05% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 47.7% | 10.8% | 89.8% | 100.5 | FUN | |
_Vs Conference | 18 | 8 | 8 | 0 | 2 | 0 | 0 | 0 | 55 | 60 | -5 | 20 | 0.556 | 55 | 100 | 155 | 0 | 0 | 70 | 69 | 52 | 7 | 524 | 779 | 738 | 668 | 36 | 601 | 177 | 163 | 450 | 42 | 11 | 26.19% | 75 | 14 | 81.33% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 48.9% | 10.5% | 90.0% | 100.5 | FUN | |
_Since Last GM Reset | 77 | 28 | 39 | 0 | 6 | 0 | 1 | 3 | 198 | 234 | -36 | 73 | 0.474 | 198 | 363 | 561 | 3 | 1 | 70 | 69 | 52 | 7 | 2204 | 779 | 738 | 668 | 36 | 2657 | 738 | 732 | 1881 | 180 | 27 | 15.00% | 324 | 60 | 81.48% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 49.6% | 9.0% | 91.2% | 100.2 | LUCKY | |
Total | 77 | 28 | 39 | 0 | 6 | 0 | 1 | 3 | 198 | 234 | -36 | 73 | 0.474 | 198 | 363 | 561 | 3 | 1 | 70 | 69 | 52 | 7 | 2204 | 779 | 738 | 668 | 36 | 2657 | 738 | 732 | 1881 | 180 | 27 | 15.00% | 324 | 60 | 81.48% | 0 | 1138 | 2542 | 44.77% | 1296 | 2975 | 43.56% | 547 | 1155 | 47.36% | 1751 | 1199 | 1925 | 565 | 973 | 474 | 49.6% | 9.0% | 91.2% | 100.2 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 2542 |
Neutral Zone Start | 1155 |
Defensive Zone Start | 2975 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2981 |
Faceoffs Lost | 3691 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 19.7 | 20.31 |
3rd Period | 28.4 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 168 |
---|---|
PP Goal | 27 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 22 | 13 |
Lost | 15 | 24 |
Overtime Lost | 1 | 2 |
PP Attempt | 180 |
---|---|
PP Goal | 27 |
PK Attempt | 324 |
PK Goal Against | 60 |
Home | |
---|---|
Shots For | 28.6 |
Shots Against | 34.5 |
Goals For | 2.6 |
Goals Against | 3.0 |
Hits | 24.4 |
Shots Blocked | 9.6 |
Pim | 9.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,335,000 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | Little Caesars Arena |
City | Grand Rapids | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 174743 | 88422 | |||
Attendance PCT | 76.64% | 77.56% | 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 |
3 | 6925 - 76.95% | $171,462 | $6,515,567 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,335,000 | $2,335,000 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$2,050,257 | $0 | $2,050,257 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$514,387 | 12 | $14,414 | $172,968 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$172,968 | $0 | $0 | $0 |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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