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Grand Rapids Griffins 53-20-9, 115pts · 3rd in Conference 2 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zack Kassian | 44 | RW | 100.00 | 73 | 63 | 64 | 69 | 83 | 79 | 88 | 69 | 40 | 64 | 63 | 62 | 67 | 87 | 77 | 1 | 50 | 68 | 32 | 2,700,000$/2yrs | |||
Jakob Pelletier | 49 | LW | 100.00 | 64 | 45 | 78 | 75 | 69 | 79 | 64 | 68 | 42 | 64 | 63 | 65 | 69 | 51 | 50 | 1 | 50 | 65 | 22 | 975,000$/2yrs | |||
T.J. Tynan | 0 | C | 100.00 | 51 | 43 | 68 | 70 | 52 | 72 | 72 | 67 | 65 | 70 | 55 | 58 | 64 | 65 | 59 | 1 | 50 | 62 | 31 | 1,200,000$/2yrs | |||
Cole Schwindt | 0 | C/RW | 100.00 | 64 | 49 | 71 | 71 | 64 | 64 | 64 | 63 | 54 | 61 | 58 | 62 | 64 | 50 | 50 | 1 | 50 | 61 | 22 | 700,000$/1yrs | |||
Tim Gettinger | 0 | LW/RW | 100.00 | 68 | 54 | 67 | 61 | 73 | 65 | 64 | 63 | 42 | 61 | 56 | 62 | 60 | 53 | 51 | 1 | 50 | 60 | 25 | 1,200,000$/3yrs | |||
Jiri Kulich (R) | 20 | C/LW | 100.00 | 59 | 40 | 70 | 68 | 61 | 57 | 57 | 64 | 42 | 62 | 62 | 55 | 65 | 50 | 50 | 1 | 50 | 60 | 19 | 975,000$/3yrs | |||
Joseph LaBate | 62 | LW | 100.00 | 62 | 56 | 55 | 60 | 68 | 67 | 67 | 61 | 41 | 57 | 57 | 60 | 59 | 61 | 54 | 1 | 50 | 59 | 30 | 1,200,000$/1yrs | |||
Jeff Kubiak | 0 | C | 100.00 | 61 | 49 | 67 | 59 | 68 | 70 | 70 | 61 | 56 | 59 | 54 | 56 | 58 | 59 | 50 | 1 | 50 | 59 | 29 | 975,000$/2yrs | |||
Mason Geertsen | 0 | LW | 100.00 | 69 | 68 | 52 | 59 | 77 | 69 | 67 | 61 | 40 | 54 | 54 | 57 | 58 | 56 | 50 | 1 | 50 | 58 | 28 | 2,000,000$/2yrs | |||
Markus Nurmi (R) | 0 | LW/RW | 100.00 | 61 | 40 | 70 | 62 | 65 | 63 | 63 | 61 | 41 | 58 | 57 | 57 | 60 | 52 | 50 | 1 | 50 | 58 | 25 | 975,000$/3yrs | |||
Jacob Perreault | 0 | RW | 100.00 | 58 | 47 | 64 | 64 | 64 | 60 | 59 | 61 | 41 | 58 | 55 | 51 | 60 | 50 | 50 | 1 | 50 | 57 | 21 | 900,000$/1yrs | |||
Emil Heineman (R) | 0 | LW | 100.00 | 62 | 40 | 68 | 66 | 63 | 58 | 57 | 58 | 40 | 54 | 55 | 59 | 59 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/3yrs | |||
Chris Wideman | 0 | D | 100.00 | 65 | 56 | 59 | 74 | 72 | 83 | 84 | 71 | 40 | 69 | 62 | 65 | 69 | 79 | 69 | 1 | 50 | 69 | 33 | 3,500,000$/3yrs | |||
Logan Stanley | 64 | D | 100.00 | 69 | 61 | 66 | 69 | 95 | 83 | 68 | 69 | 40 | 65 | 62 | 73 | 66 | 59 | 52 | 1 | 50 | 69 | 25 | 2,000,000$/3yrs | |||
Jacob MacDonald | 0 | D | 100.00 | 71 | 55 | 73 | 72 | 75 | 77 | 78 | 70 | 40 | 65 | 61 | 68 | 68 | 67 | 57 | 1 | 50 | 68 | 30 | 1,500,000$/3yrs | |||
Jordan Spence | 88 | D | 100.00 | 56 | 43 | 72 | 73 | 61 | 70 | 63 | 68 | 40 | 66 | 57 | 67 | 66 | 51 | 50 | 1 | 50 | 63 | 22 | 1,500,000$/4yrs | |||
Matthew Kessel | 0 | D | 100.00 | 64 | 50 | 60 | 68 | 67 | 63 | 62 | 62 | 40 | 60 | 54 | 68 | 61 | 51 | 50 | 1 | 50 | 62 | 23 | 975,000$/2yrs | |||
Jack Thompson (R) | 0 | D | 100.00 | 60 | 40 | 71 | 69 | 62 | 62 | 62 | 64 | 40 | 60 | 59 | 66 | 64 | 50 | 50 | 1 | 50 | 62 | 21 | 975,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Keean Washkurak | 0 | C | 100.00 | 59 | 53 | 65 | 68 | 62 | 61 | 59 | 60 | 55 | 52 | 56 | 53 | 61 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/2yrs | |||
Brandon Coe | 0 | RW | 100.00 | 57 | 40 | 70 | 61 | 64 | 61 | 61 | 59 | 41 | 57 | 54 | 53 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/1yrs | |||
Reece Newkirk | 0 | C | 100.00 | 56 | 47 | 65 | 67 | 58 | 59 | 56 | 55 | 50 | 51 | 51 | 53 | 58 | 50 | 50 | 1 | 50 | 55 | 22 | 975,000$/2yrs | |||
Jordie Benn | 0 | D | 100.00 | 57 | 43 | 74 | 65 | 67 | 73 | 71 | 61 | 40 | 56 | 55 | 63 | 60 | 78 | 68 | 1 | 50 | 63 | 35 | 2,500,000$/2yrs | |||
Egor Zamula | 5 | D | 100.00 | 59 | 44 | 72 | 70 | 63 | 63 | 62 | 62 | 40 | 62 | 53 | 64 | 62 | 51 | 50 | 1 | 50 | 61 | 23 | 500,000$/1yrs | |||
Simon Edvinsson (R) | 54 | D | 100.00 | 63 | 41 | 62 | 67 | 66 | 57 | 57 | 62 | 40 | 62 | 57 | 66 | 62 | 50 | 50 | 1 | 50 | 61 | 20 | 975,000$/3yrs | |||
Ronan Seeley (R) | 0 | D | 100.00 | 56 | 40 | 71 | 68 | 61 | 58 | 59 | 62 | 40 | 62 | 56 | 60 | 62 | 50 | 50 | 1 | 50 | 59 | 20 | 975,000$/3yrs | |||
Tyrel Bauer | 0 | D | 100.00 | 64 | 66 | 55 | 63 | 66 | 60 | 60 | 59 | 40 | 54 | 54 | 62 | 59 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/4yrs | |||
Xavier Bernard | 0 | D | 100.00 | 62 | 40 | 68 | 62 | 68 | 60 | 59 | 57 | 40 | 54 | 54 | 60 | 58 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mads Sogaard | 0 | 100.00 | 76 | 71 | 71 | 82 | 74 | 74 | 73 | 75 | 74 | 74 | 73 | 56 | 51 | 1 | 50 | 68 | 22 | 850,000$/1yrs |
Jakub Skarek | 0 | 100.00 | 69 | 63 | 67 | 68 | 68 | 68 | 70 | 67 | 69 | 68 | 57 | 51 | 50 | 1 | 50 | 62 | 23 | 1,500,000$/3yrs |
Scratches | ||||||||||||||||||||
Christopher Gibson | 33 | 100.00 | 71 | 66 | 63 | 69 | 67 | 66 | 67 | 65 | 66 | 68 | 66 | 64 | 57 | 1 | 50 | 62 | 30 | 2,200,000$/2yrs |
Sebastian Cossa | 0 | 100.00 | 58 | 57 | 57 | 69 | 61 | 57 | 57 | 53 | 59 | 59 | 53 | 50 | 50 | 1 | 50 | 54 | 20 | 975,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Luke Richardson | 85 | 77 | 75 | 84 | 80 | 77 | 1 | CAN | 54 | 4 | 600,000$ |
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 | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jakob Pelletier | Griffins (DET) | LW | 82 | 38 | 46 | 84 | 35 | 69 | 45 | 130 | 298 | 96 | 177 | 12.75% | 33 | 20.50 | 10 | 14 | 24 | 1 | 0 | 1 | 190 | 8 | 3 | 45.16% | 1 | 0 | 1.02 | 6 | 14 | 1.10 | |||
2 | T.J. Tynan | Griffins (DET) | C | 80 | 32 | 50 | 82 | 33 | 51 | 25 | 120 | 212 | 66 | 136 | 15.09% | 24 | 18.24 | 6 | 18 | 24 | 0 | 0 | 0 | 14 | 8 | 2 | 55.95% | 0 | 1 | 1.03 | 4 | 11 | 1.04 | |||
3 | Zack Kassian | Griffins (DET) | RW | 82 | 34 | 42 | 76 | 29 | 132 | 70 | 180 | 242 | 70 | 142 | 14.05% | 25 | 19.74 | 9 | 8 | 17 | 0 | 1 | 1 | 103 | 5 | 3 | 42.22% | 0 | 1 | 0.93 | 3 | 14 | 0.80 | |||
4 | Cole Schwindt | Griffins (DET) | C/RW | 82 | 29 | 30 | 59 | 12 | 38 | 20 | 157 | 236 | 80 | 123 | 12.29% | 29 | 19.58 | 6 | 12 | 18 | 1 | 0 | 1 | 186 | 2 | 1 | 50.64% | 1 | 0 | 0.72 | 1 | 3 | 0.77 | |||
5 | Chris Wideman | Griffins (DET) | D | 82 | 6 | 41 | 47 | 23 | 111 | 65 | 152 | 167 | 69 | 72 | 3.59% | 62 | 21.33 | 3 | 9 | 12 | 0 | 0 | 0 | 39 | 1 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.48 | |||
6 | Jiri Kulich | Griffins (DET) | C/LW | 75 | 24 | 19 | 43 | 11 | 49 | 15 | 111 | 208 | 68 | 104 | 11.54% | 16 | 16.50 | 6 | 4 | 10 | 0 | 0 | 0 | 1 | 5 | 2 | 32.35% | 0 | 0 | 0.57 | 1 | 1 | 0.63 | |||
7 | Jacob MacDonald | Griffins (DET) | D | 82 | 6 | 27 | 33 | 11 | 77 | 55 | 94 | 134 | 48 | 61 | 4.48% | 75 | 20.65 | 2 | 7 | 9 | 0 | 0 | 0 | 165 | 0 | 1 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.35 | |||
8 | Logan Stanley | Griffins (DET) | D | 82 | 5 | 24 | 29 | 7 | 134 | 80 | 161 | 149 | 55 | 73 | 3.36% | 98 | 24.10 | 4 | 5 | 9 | 0 | 1 | 1 | 181 | 1 | 1 | 0.00% | 0 | 0 | 0.35 | 0 | 0 | 0.22 | |||
9 | Tim Gettinger | Griffins (DET) | LW/RW | 64 | 9 | 18 | 27 | 12 | 94 | 40 | 117 | 103 | 28 | 67 | 8.74% | 17 | 17.61 | 4 | 0 | 4 | 0 | 0 | 0 | 34 | 1 | 0 | 43.84% | 1 | 0 | 0.42 | 0 | 1 | 0.29 | |||
10 | Jacob Perreault | Griffins (DET) | RW | 75 | 10 | 13 | 23 | 7 | 16 | 0 | 59 | 119 | 46 | 77 | 8.40% | 5 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 58.82% | 0 | 0 | 0.31 | 0 | 0 | 0.38 | |||
11 | Jordan Spence | Griffins (DET) | D | 72 | 1 | 22 | 23 | 10 | 48 | 10 | 71 | 117 | 48 | 49 | 0.85% | 70 | 22.11 | 0 | 4 | 4 | 0 | 1 | 1 | 117 | 0 | 0 | 0.00% | 0 | 0 | 0.32 | 1 | 1 | 0.33 | |||
12 | Markus Nurmi | Griffins (DET) | LW/RW | 76 | 17 | 6 | 23 | 8 | 34 | 10 | 55 | 125 | 52 | 87 | 13.60% | 18 | 10.88 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 2 | 41.94% | 0 | 0 | 0.30 | 0 | 0 | 0.36 | |||
13 | Jeff Kubiak | Griffins (DET) | C | 82 | 9 | 13 | 22 | 5 | 56 | 10 | 93 | 125 | 50 | 86 | 7.20% | 24 | 14.76 | 0 | 1 | 1 | 0 | 0 | 0 | 76 | 4 | 1 | 52.21% | 0 | 0 | 0.27 | 0 | 0 | 0.26 | |||
14 | Jack Thompson | Griffins (DET) | D | 73 | 3 | 16 | 19 | 24 | 36 | 20 | 60 | 78 | 39 | 27 | 3.85% | 71 | 19.13 | 1 | 2 | 3 | 0 | 0 | 0 | 80 | 0 | 1 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.34 | |||
15 | Emil Heineman | Griffins (DET) | LW | 62 | 8 | 7 | 15 | 4 | 29 | 5 | 87 | 106 | 19 | 74 | 7.55% | 14 | 12.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.31% | 0 | 0 | 0.24 | 0 | 0 | 0.30 | |||
16 | Brandon Coe | Griffins (DET) | RW | 55 | 3 | 9 | 12 | -2 | 12 | 0 | 57 | 64 | 22 | 45 | 4.69% | 13 | 11.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 43.75% | 0 | 0 | 0.22 | 0 | 0 | 0.24 | |||
17 | Joseph LaBate | Griffins (DET) | LW | 82 | 5 | 5 | 10 | 5 | 52 | 20 | 97 | 58 | 18 | 31 | 8.62% | 13 | 11.20 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 1 | 0 | 46.03% | 0 | 0 | 0.12 | 0 | 0 | 0.08 | |||
18 | Matthew Kessel | Griffins (DET) | D | 72 | 1 | 8 | 9 | 18 | 35 | 15 | 76 | 45 | 30 | 22 | 2.22% | 39 | 14.69 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 1 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.18 | |||
19 | Mason Geertsen | Griffins (DET) | LW | 58 | 6 | 2 | 8 | -2 | 30 | 20 | 69 | 44 | 15 | 35 | 13.64% | 3 | 8.98 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 1 | 25.00% | 0 | 0 | 0.14 | 0 | 0 | 0.10 | |||
20 | Simon Edvinsson | Griffins (DET) | D | 13 | 0 | 3 | 3 | 4 | 2 | 0 | 6 | 3 | 3 | 1 | 0.00% | 3 | 9.19 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.26 | |||
21 | Egor Zamula | Griffins (DET) | D | 27 | 0 | 2 | 2 | 3 | 7 | 5 | 16 | 12 | 8 | 5 | 0.00% | 7 | 11.17 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.10 | |||
22 | Jordie Benn | Griffins (DET) | D | 12 | 0 | 1 | 1 | 4 | 2 | 0 | 5 | 2 | 1 | 5 | 0.00% | 2 | 11.85 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.17 | |||
23 | Keean Washkurak | Griffins (DET) | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0.00% | 0 | 8.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.00 | 0 | 0 | 0.07 | |||
24 | Ronan Seeley | Griffins (DET) | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 1476 | 246 | 404 | 650 | 261 | 1114 | 530 | 1974 | 2649 | 931 | 1499 | 9.29% | 661 | 16.57 | 53 | 84 | 137 | 1840 | 2 | 3 | 5 | 1428 | 44 | 19 | 51.47% | 4533 | 635 | 412 | 3 | 2 | 0.53 | 16 | 45 |
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 | Mads Sogaard | Griffins (DET) | 71 | 44 | 19 | 8 | 0.902 | 2.28 | 4244 | 2 | 9 | 161 | 1637 | 833 | 6 | 2 | 0.795 | 39 | 71 | 11 | 8 | 3 | 1 |
2 | Jakub Skarek | Griffins (DET) | 14 | 9 | 1 | 1 | 0.903 | 2.26 | 742 | 0 | 1 | 28 | 290 | 150 | 0 | 0 | 0.667 | 3 | 11 | 71 | 0 | 1 | 0 |
Team Total or Average | 85 | 53 | 20 | 9 | 0.902 | 2.27 | 4986 | 2 | 10 | 189 | 1927 | 983 | 6 | 2 | 0.786 | 42 | 82 | 82 | 8 | 4 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Coe | RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
Chris Wideman | D | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Christopher Gibson | G | 30 | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||||
Cole Schwindt | C/RW | 22 | 700,000$ | 700,000$ | RFA | ||||||
Egor Zamula | D | 23 | 500,000$ | 900,000$ | RFA | ||||||
Emil Heineman | LW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jack Thompson | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jacob MacDonald | D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Jacob Perreault | RW | 21 | 900,000$ | 900,000$ | RFA | ||||||
Jakob Pelletier | LW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jakub Skarek | G | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||
Jeff Kubiak | C | 29 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Jiri Kulich | C/LW | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jordan Spence | D | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||
Jordie Benn | D | 35 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Joseph LaBate | LW | 30 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Keean Washkurak | C | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Logan Stanley | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Mads Sogaard | G | 22 | 850,000$ | 850,000$ | RFA | ||||||
Markus Nurmi | LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Mason Geertsen | LW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Matthew Kessel | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Reece Newkirk | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ronan Seeley | D | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Sebastian Cossa | G | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Simon Edvinsson | D | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
T.J. Tynan | C | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Tim Gettinger | LW/RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Tyrel Bauer | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | |||
Xavier Bernard | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Zack Kassian | RW | 32 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Gulls | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 55 | 100 | 89 | 18 | 82 | 828 | 929 | 873 | 63 | 56 | 14 | 25 | 56 | 6 | 0 | 0.00% | 10 | 3 | 70.00% | 1 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 46.7% | 8.5% | 80.4% | 88.9 | Unlucky |
2 | Moose | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 4 | 12 | 8 | 1.000 | 16 | 28 | 44 | 0 | 2 | 55 | 100 | 89 | 18 | 136 | 828 | 929 | 873 | 63 | 80 | 25 | 57 | 126 | 12 | 3 | 25.00% | 11 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 76.5% | 11.8% | 95.0% | 106.8 | LUCKY |
3 | Bruins | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 12 | 20 | 0 | 0 | 55 | 100 | 89 | 18 | 70 | 828 | 929 | 873 | 63 | 44 | 18 | 25 | 45 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 58.3% | 11.4% | 84.1% | 95.5 | FUN |
4 | Americans | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 6 | 1.000 | 10 | 16 | 26 | 0 | 0 | 55 | 100 | 89 | 18 | 107 | 828 | 929 | 873 | 63 | 60 | 18 | 19 | 63 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 72.7% | 9.3% | 91.7% | 101.0 | LUCKY |
5 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 4 | 1.000 | 6 | 11 | 17 | 0 | 2 | 55 | 100 | 89 | 18 | 46 | 828 | 929 | 873 | 63 | 19 | 4 | 18 | 47 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 100.0% | 13.0% | 100.0% | 113.0 | LUCKY |
6 | Wolves | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 55 | 100 | 89 | 18 | 75 | 828 | 929 | 873 | 63 | 64 | 19 | 59 | 45 | 9 | 2 | 22.22% | 7 | 3 | 57.14% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 22.2% | 5.3% | 84.4% | 89.7 | Unlucky |
7 | IceHogs | 5 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 11 | 11 | 0 | 7 | 0.700 | 11 | 14 | 25 | 1 | 1 | 55 | 100 | 89 | 18 | 154 | 828 | 929 | 873 | 63 | 103 | 32 | 96 | 137 | 15 | 2 | 13.33% | 8 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 45.0% | 7.1% | 89.3% | 96.5 | Unlucky |
8 | Eagles | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 6 | 11 | 0 | 0 | 55 | 100 | 89 | 18 | 42 | 828 | 929 | 873 | 63 | 44 | 20 | 19 | 39 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 75.0% | 11.9% | 95.5% | 107.4 | LUCKY |
9 | Monsters | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 55 | 100 | 89 | 18 | 73 | 828 | 929 | 873 | 63 | 48 | 18 | 30 | 50 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 57.1% | 5.5% | 93.8% | 99.2 | DULL |
10 | Stars | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 6 | 0.750 | 12 | 22 | 34 | 0 | 0 | 55 | 100 | 89 | 18 | 102 | 828 | 929 | 873 | 63 | 126 | 26 | 52 | 94 | 10 | 1 | 10.00% | 11 | 3 | 72.73% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 64.7% | 11.8% | 92.9% | 104.6 | LUCKY |
11 | Condors | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 12 | 21 | 0 | 0 | 55 | 100 | 89 | 18 | 109 | 828 | 929 | 873 | 63 | 74 | 22 | 27 | 66 | 14 | 2 | 14.29% | 11 | 4 | 63.64% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 63.6% | 8.3% | 89.2% | 97.4 | Unlucky |
12 | Checkers 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 55 | 100 | 89 | 18 | 84 | 828 | 929 | 873 | 63 | 52 | 18 | 34 | 44 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 46.7% | 9.5% | 82.7% | 92.2 | FUN |
13 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 0.500 | 7 | 12 | 19 | 0 | 1 | 55 | 100 | 89 | 18 | 70 | 828 | 929 | 873 | 63 | 36 | 13 | 13 | 49 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 77.8% | 10.0% | 91.7% | 101.7 | LUCKY |
14 | Wild | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 12 | 8 | 4 | 7 | 0.875 | 12 | 17 | 29 | 0 | 0 | 55 | 100 | 89 | 18 | 140 | 828 | 929 | 873 | 63 | 71 | 30 | 32 | 105 | 10 | 4 | 40.00% | 11 | 1 | 90.91% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 53.3% | 8.6% | 88.7% | 97.3 | Unlucky |
15 | Rocket | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 55 | 100 | 89 | 18 | 51 | 828 | 929 | 873 | 63 | 35 | 12 | 30 | 45 | 4 | 1 | 25.00% | 10 | 1 | 90.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 83.3% | 11.8% | 94.3% | 106.1 | LUCKY |
16 | Admirals | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0.500 | 7 | 11 | 18 | 0 | 1 | 55 | 100 | 89 | 18 | 92 | 828 | 929 | 873 | 63 | 51 | 22 | 71 | 98 | 5 | 2 | 40.00% | 19 | 2 | 89.47% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 62.5% | 7.6% | 90.2% | 97.8 | Unlucky |
17 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 4 | 10 | 4 | 1.000 | 14 | 24 | 38 | 0 | 0 | 55 | 100 | 89 | 18 | 77 | 828 | 929 | 873 | 63 | 38 | 15 | 13 | 44 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 75.0% | 18.2% | 89.5% | 107.7 | FUN |
18 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 4 | 1.000 | 4 | 7 | 11 | 0 | 2 | 55 | 100 | 89 | 18 | 54 | 828 | 929 | 873 | 63 | 20 | 11 | 11 | 40 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 100.0% | 7.4% | 100.0% | 107.4 | DULL |
19 | Wolf Pack | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 13 | 22 | 0 | 0 | 55 | 100 | 89 | 18 | 104 | 828 | 929 | 873 | 63 | 91 | 30 | 22 | 76 | 11 | 2 | 18.18% | 6 | 3 | 50.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 63.6% | 8.7% | 92.3% | 101.0 | DULL |
20 | Belleville Senators | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 5 | 10 | 0 | 0 | 55 | 100 | 89 | 18 | 47 | 828 | 929 | 873 | 63 | 31 | 11 | 57 | 44 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 44.4% | 10.6% | 83.9% | 94.5 | FUN |
21 | Phantoms | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 55 | 100 | 89 | 18 | 63 | 828 | 929 | 873 | 63 | 52 | 21 | 12 | 54 | 9 | 3 | 33.33% | 1 | 1 | 0.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 23.1% | 9.5% | 78.8% | 88.4 | FUN |
22 | Roadrunners | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 55 | 100 | 89 | 18 | 98 | 828 | 929 | 873 | 63 | 76 | 36 | 55 | 75 | 5 | 3 | 60.00% | 10 | 4 | 60.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 40.0% | 7.1% | 86.8% | 94.0 | Unlucky |
23 | Penguins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 55 | 100 | 89 | 18 | 57 | 828 | 929 | 873 | 63 | 60 | 21 | 8 | 60 | 8 | 3 | 37.50% | 4 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 60.0% | 10.5% | 96.7% | 107.2 | LUCKY |
24 | Barracuda | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 8 | 15 | 0 | 0 | 55 | 100 | 89 | 18 | 71 | 828 | 929 | 873 | 63 | 49 | 10 | 29 | 43 | 11 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 77.8% | 9.9% | 89.8% | 99.7 | FUN |
25 | Thunderbirds | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 18 | -3 | 4 | 0.400 | 15 | 23 | 38 | 1 | 0 | 55 | 100 | 89 | 18 | 171 | 828 | 929 | 873 | 63 | 171 | 61 | 81 | 87 | 18 | 4 | 22.22% | 13 | 5 | 61.54% | 1 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 45.8% | 8.8% | 89.5% | 98.2 | Unlucky |
26 | Crunch | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 55 | 100 | 89 | 18 | 72 | 828 | 929 | 873 | 63 | 67 | 14 | 24 | 43 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 36.4% | 6.9% | 88.1% | 95.0 | Unlucky |
27 | Marlies | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 19 | 31 | 0 | 0 | 55 | 100 | 89 | 18 | 67 | 828 | 929 | 873 | 63 | 63 | 20 | 47 | 51 | 5 | 4 | 80.00% | 6 | 0 | 100.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 72.7% | 17.9% | 95.2% | 113.1 | LUCKY |
28 | Canucks | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 9 | 16 | 0 | 0 | 55 | 100 | 89 | 18 | 77 | 828 | 929 | 873 | 63 | 61 | 23 | 35 | 48 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 53.8% | 9.1% | 88.5% | 97.6 | FUN |
29 | Hershey Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 55 | 100 | 89 | 18 | 72 | 828 | 929 | 873 | 63 | 67 | 31 | 49 | 46 | 3 | 2 | 66.67% | 7 | 2 | 71.43% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 50.0% | 9.7% | 89.6% | 99.3 | FUN |
30 | Silver Knights | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 13 | 9 | 4 | 7 | 0.875 | 13 | 19 | 32 | 0 | 0 | 55 | 100 | 89 | 18 | 127 | 828 | 929 | 873 | 63 | 73 | 28 | 41 | 105 | 14 | 4 | 28.57% | 12 | 5 | 58.33% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 69.2% | 10.2% | 87.7% | 97.9 | FUN |
31 | Checkers 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 55 | 100 | 89 | 18 | 59 | 828 | 929 | 873 | 63 | 47 | 18 | 25 | 49 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 75.0% | 10.2% | 93.6% | 103.8 | LUCKY |
_Vs Division | 19 | 16 | 7 | 0 | 0 | 2 | 4 | 1 | 62 | 46 | 16 | 43 | 1.132 | 62 | 93 | 155 | 0 | 3 | 55 | 100 | 89 | 18 | 641 | 828 | 929 | 873 | 63 | 415 | 132 | 213 | 463 | 62 | 6 | 9.68% | 59 | 18 | 69.49% | 1 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 66.7% | 9.7% | 88.9% | 98.6 | FUN | |
_Vs Conference | 48 | 24 | 13 | 0 | 2 | 2 | 6 | 1 | 140 | 106 | 34 | 67 | 0.698 | 140 | 218 | 358 | 2 | 7 | 55 | 100 | 89 | 18 | 1499 | 828 | 929 | 873 | 63 | 1076 | 361 | 641 | 1176 | 136 | 27 | 19.85% | 139 | 33 | 76.26% | 2 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 60.8% | 9.3% | 90.1% | 99.5 | FUN | |
_Since Last GM Reset | 82 | 42 | 20 | 0 | 2 | 4 | 9 | 5 | 255 | 196 | 59 | 115 | 0.701 | 255 | 404 | 659 | 2 | 10 | 55 | 100 | 89 | 18 | 2649 | 828 | 929 | 873 | 63 | 1929 | 661 | 1116 | 1974 | 241 | 53 | 21.99% | 229 | 50 | 78.17% | 2 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 58.0% | 9.6% | 89.8% | 99.5 | FUN | |
Total | 82 | 42 | 20 | 0 | 2 | 4 | 9 | 5 | 255 | 196 | 59 | 115 | 0.701 | 255 | 404 | 659 | 2 | 10 | 55 | 100 | 89 | 18 | 2649 | 828 | 929 | 873 | 63 | 1929 | 661 | 1116 | 1974 | 241 | 53 | 21.99% | 229 | 50 | 78.17% | 2 | 960 | 1882 | 51.01% | 796 | 1545 | 51.52% | 577 | 1062 | 54.33% | 1785 | 955 | 1497 | 827 | 1711 | 827 | 58.0% | 9.6% | 89.8% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 20 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 1882 |
Neutral Zone Start | 1062 |
Defensive Zone Start | 1545 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2333 |
Faceoffs Lost | 2156 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 198 |
---|---|
PP Goal | 53 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 29 | 24 |
Lost | 9 | 11 |
Overtime Lost | 3 | 6 |
PP Attempt | 241 |
---|---|
PP Goal | 53 |
PK Attempt | 229 |
PK Goal Against | 50 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 23.5 |
Goals For | 3.1 |
Goals Against | 2.4 |
Hits | 24.1 |
Shots Blocked | 8.1 |
Pim | 13.6 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,097,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Grand Rapids | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 33$ | 12$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
4,097,500$ | 4,057,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
4,690,708$ | 0$ | 4,090,777$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 28,298$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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