Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marcus Sorensen | 0 | LW/RW | 100.00 | 66 | 39 | 86 | 69 | 67 | 77 | 84 | 68 | 56 | 67 | 64 | 70 | 68 | 77 | 69 | 0 | 50 | 71 | 31 | 1,000,000$/1yrs | |||
Boris Katchouk | 0 | LW | 100.00 | 78 | 39 | 86 | 64 | 83 | 77 | 85 | 61 | 64 | 62 | 61 | 65 | 63 | 64 | 65 | 0 | 50 | 70 | 24 | 821,527$/3yrs | |||
Hayden Hodgson | 0 | RW | 100.00 | 74 | 34 | 61 | 64 | 82 | 81 | 77 | 65 | 58 | 66 | 67 | 59 | 64 | 66 | 68 | 0 | 50 | 70 | 27 | 800,000$/3yrs | |||
Anders Bjork | 0 | LW | 100.00 | 58 | 35 | 93 | 66 | 74 | 81 | 86 | 63 | 55 | 61 | 64 | 67 | 62 | 67 | 66 | 0 | 50 | 69 | 26 | 1,150,000$/2yrs | |||
Byron Froese | 0 | C | 100.00 | 70 | 39 | 87 | 60 | 78 | 87 | 77 | 63 | 78 | 61 | 62 | 68 | 64 | 71 | 76 | 0 | 50 | 69 | 32 | 780,667$/3yrs | |||
Matthew Peca | 0 | C | 100.00 | 66 | 35 | 94 | 64 | 67 | 79 | 84 | 63 | 71 | 67 | 59 | 60 | 62 | 69 | 71 | 0 | 50 | 68 | 29 | 750,000$/3yrs | |||
Gregory Hofmann | 0 | C | 100.00 | 62 | 35 | 80 | 71 | 73 | 78 | 72 | 66 | 68 | 65 | 57 | 59 | 62 | 69 | 71 | 0 | 50 | 68 | 30 | 750,000$/1yrs | |||
Sean Malone | 0 | C | 100.00 | 63 | 34 | 70 | 66 | 74 | 78 | 71 | 65 | 75 | 64 | 63 | 59 | 65 | 67 | 69 | 0 | 50 | 68 | 27 | 831,000$/2yrs | |||
Kasper Bjorkqvist | 0 | RW | 100.00 | 68 | 38 | 81 | 65 | 77 | 73 | 82 | 62 | 55 | 61 | 62 | 57 | 63 | 65 | 67 | 0 | 50 | 67 | 25 | 900,000$/1yrs | |||
Mitchell Stephens | 0 | C | 100.00 | 62 | 34 | 88 | 63 | 71 | 77 | 72 | 60 | 83 | 64 | 56 | 68 | 57 | 64 | 65 | 0 | 50 | 67 | 26 | 905,500$/2yrs | |||
Gustav Lindstrom | 0 | D | 100.00 | 64 | 35 | 86 | 65 | 77 | 87 | 81 | 63 | 30 | 73 | 55 | 73 | 49 | 63 | 64 | 0 | 50 | 71 | 24 | 887,500$/2yrs | |||
Cody Franson | 0 | D | 100.00 | 83 | 70 | 86 | 55 | 94 | 78 | 87 | 56 | 30 | 64 | 57 | 63 | 45 | 75 | 77 | 0 | 50 | 70 | 35 | 750,000$/1yrs | |||
Cale Fleury | 0 | D | 100.00 | 80 | 38 | 92 | 63 | 79 | 82 | 84 | 62 | 30 | 61 | 55 | 64 | 51 | 63 | 66 | 0 | 50 | 69 | 24 | 816,666$/2yrs | |||
Will Butcher | 0 | D | 100.00 | 55 | 34 | 84 | 68 | 71 | 88 | 77 | 66 | 30 | 75 | 59 | 61 | 53 | 68 | 67 | 0 | 50 | 69 | 28 | 1,351,000$/2yrs | |||
Dillon Heatherington | 0 | D | 100.00 | 81 | 41 | 82 | 59 | 89 | 77 | 78 | 56 | 30 | 58 | 57 | 64 | 49 | 67 | 69 | 0 | 50 | 68 | 27 | 766,667$/3yrs | |||
Casey Fitzgerald | 0 | D | 100.00 | 72 | 35 | 68 | 61 | 70 | 84 | 85 | 61 | 30 | 64 | 57 | 62 | 51 | 65 | 67 | 0 | 50 | 68 | 26 | 1,937,500$/2yrs | |||
Vincent Desharnais | 0 | D | 100.00 | 86 | 77 | 73 | 56 | 95 | 72 | 93 | 54 | 30 | 59 | 53 | 62 | 46 | 66 | 68 | 0 | 50 | 68 | 26 | 775,000$/3yrs | |||
Tommy Cross | 0 | D | 100.00 | 74 | 43 | 72 | 58 | 84 | 78 | 86 | 57 | 30 | 60 | 56 | 61 | 48 | 73 | 78 | 0 | 50 | 68 | 33 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Benoit-Olivier Groulx | 0 | C | 80.81 | 69 | 39 | 81 | 65 | 80 | 79 | 83 | 64 | 80 | 63 | 61 | 68 | 62 | 64 | 69 | 0 | 50 | 70 | 23 | 910,833$/2yrs | |||
Mackenzie MacEachern | 0 | LW | 100.00 | 73 | 41 | 84 | 57 | 79 | 77 | 86 | 58 | 63 | 59 | 60 | 57 | 61 | 68 | 70 | 0 | 50 | 66 | 29 | 750,000$/2yrs | |||
Semyon Der-Arguchintsev | 0 | C | 100.00 | 56 | 36 | 89 | 64 | 68 | 77 | 79 | 64 | 70 | 62 | 59 | 57 | 64 | 62 | 65 | 0 | 50 | 66 | 22 | 766,677$/2yrs | |||
Matej Pekar | 0 | LW | 100.00 | 65 | 53 | 62 | 51 | 74 | 73 | 76 | 52 | 56 | 53 | 54 | 55 | 51 | 62 | 64 | 0 | 50 | 61 | 23 | 913,333$/2yrs | |||
Devante Stephens | 0 | D | 100.00 | 69 | 42 | 71 | 58 | 80 | 64 | 85 | 56 | 30 | 56 | 55 | 59 | 47 | 65 | 67 | 0 | 50 | 65 | 26 | 1,278,000$/1yrs | |||
Luke Witkowski | 0 | D | 100.00 | 63 | 34 | 87 | 58 | 82 | 71 | 78 | 57 | 30 | 56 | 55 | 59 | 48 | 72 | 74 | 0 | 50 | 65 | 33 | 889,500$/2yrs | |||
Ashton Sautner | 0 | D | 100.00 | 67 | 39 | 75 | 59 | 76 | 67 | 69 | 58 | 30 | 57 | 54 | 56 | 45 | 68 | 70 | 0 | 50 | 64 | 28 | 750,000$/2yrs | |||
Jeremy Groleau | 0 | D | 100.00 | 73 | 39 | 75 | 53 | 82 | 64 | 72 | 51 | 30 | 53 | 52 | 56 | 45 | 63 | 65 | 0 | 50 | 62 | 23 | 822,334$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Louis Domingue | 0 | 100.00 | 73 | 75 | 77 | 85 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 72 | 84 | 0 | 50 | 76 | 31 | 1,066,667$/3yrs |
Michael Houser | 0 | 100.00 | 75 | 71 | 72 | 76 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 84 | 0 | 50 | 76 | 30 | 775,000$/2yrs |
Scratches | ||||||||||||||||||||
Callum Booth | 0 | 100.00 | 69 | 64 | 65 | 83 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 65 | 73 | 0 | 50 | 71 | 25 | 928,000$/1yrs |
Jeremy Brodeur | 0 | 100.00 | 66 | 64 | 65 | 71 | 65 | 64 | 66 | 65 | 64 | 66 | 65 | 67 | 75 | 0 | 50 | 68 | 26 | 875,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Chantal Machabée | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 58 | 5 | 0$ |
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 | Marcus Sorensen | Americans (BUF) | LW/RW | 78 | 37 | 49 | 86 | -1 | 12 | 0 | 86 | 384 | 103 | 276 | 9.64% | 23 | 19.91 | 7 | 14 | 21 | 1 | 0 | 1 | 71 | 4 | 1 | 45.33% | 0 | 1 | 1.10 | 2 | 3 | 1.20 | |||
2 | Benoit-Olivier Groulx | Americans (BUF) | C | 81 | 36 | 44 | 80 | 11 | 33 | 5 | 100 | 294 | 68 | 223 | 12.24% | 29 | 20.15 | 12 | 12 | 24 | 0 | 0 | 0 | 122 | 4 | 2 | 56.04% | 0 | 0 | 0.99 | 0 | 4 | 1.04 | |||
3 | Will Butcher | Americans (BUF) | D | 82 | 11 | 61 | 72 | -17 | 22 | 0 | 58 | 133 | 59 | 98 | 8.27% | 128 | 23.70 | 5 | 18 | 23 | 0 | 0 | 0 | 221 | 0 | 3 | 0.00% | 0 | 0 | 0.88 | 0 | 0 | 0.69 | |||
4 | Hayden Hodgson | Americans (BUF) | RW | 75 | 24 | 43 | 67 | 12 | 64 | 0 | 211 | 265 | 67 | 183 | 9.06% | 14 | 17.66 | 4 | 10 | 14 | 0 | 0 | 0 | 47 | 5 | 1 | 36.17% | 0 | 1 | 0.89 | 1 | 1 | 0.91 | |||
5 | Boris Katchouk | Americans (BUF) | LW | 82 | 27 | 32 | 59 | 24 | 52 | 10 | 156 | 222 | 73 | 163 | 12.16% | 21 | 19.48 | 3 | 7 | 10 | 0 | 0 | 0 | 179 | 5 | 1 | 43.53% | 0 | 0 | 0.72 | 1 | 2 | 0.79 | |||
6 | Byron Froese | Americans (BUF) | C | 82 | 30 | 26 | 56 | -1 | 28 | 0 | 133 | 291 | 69 | 184 | 10.31% | 29 | 18.02 | 6 | 7 | 13 | 0 | 0 | 0 | 229 | 3 | 3 | 50.63% | 0 | 2 | 0.68 | 0 | 2 | 0.77 | |||
7 | Matthew Peca | Americans (BUF) | C | 81 | 17 | 29 | 46 | 1 | 20 | 0 | 41 | 165 | 41 | 129 | 10.30% | 14 | 12.30 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 2 | 2 | 45.87% | 0 | 0 | 0.57 | 0 | 0 | 0.55 | |||
8 | Kasper Bjorkqvist | Americans (BUF) | RW | 76 | 18 | 26 | 44 | -4 | 34 | 0 | 148 | 194 | 75 | 134 | 9.28% | 17 | 18.80 | 6 | 7 | 13 | 0 | 0 | 0 | 160 | 6 | 0 | 38.67% | 0 | 0 | 0.58 | 2 | 4 | 0.58 | |||
9 | Sean Malone | Americans (BUF) | C | 82 | 10 | 33 | 43 | 3 | 30 | 0 | 117 | 161 | 36 | 127 | 6.21% | 12 | 12.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 51.71% | 0 | 0 | 0.52 | 1 | 2 | 0.51 | |||
10 | Cale Fleury | Americans (BUF) | D | 82 | 7 | 33 | 40 | 9 | 58 | 0 | 161 | 87 | 30 | 78 | 8.05% | 125 | 20.77 | 2 | 2 | 4 | 0 | 0 | 0 | 170 | 0 | 0 | 0.00% | 0 | 0 | 0.49 | 0 | 0 | 0.45 | |||
11 | Dillon Heatherington | Americans (BUF) | D | 73 | 7 | 30 | 37 | 5 | 42 | 0 | 66 | 107 | 33 | 83 | 6.54% | 85 | 18.67 | 2 | 5 | 7 | 0 | 0 | 0 | 186 | 0 | 0 | 0.00% | 1 | 0 | 0.51 | 0 | 0 | 0.47 | |||
12 | Cody Franson | Americans (BUF) | D | 82 | 8 | 22 | 30 | -10 | 98 | 0 | 248 | 116 | 31 | 72 | 6.90% | 150 | 22.92 | 3 | 6 | 9 | 0 | 0 | 0 | 205 | 0 | 0 | 0.00% | 0 | 0 | 0.37 | 0 | 0 | 0.27 | |||
13 | Casey Fitzgerald | Americans (BUF) | D | 82 | 9 | 20 | 29 | 1 | 42 | 0 | 126 | 55 | 16 | 32 | 16.36% | 58 | 14.03 | 1 | 1 | 2 | 0 | 0 | 0 | 18 | 2 | 1 | 0.00% | 0 | 1 | 0.35 | 0 | 0 | 0.27 | |||
14 | Vincent Desharnais | Americans (BUF) | D | 82 | 7 | 20 | 27 | 15 | 106 | 10 | 202 | 74 | 28 | 55 | 9.46% | 122 | 20.98 | 2 | 7 | 9 | 0 | 1 | 1 | 210 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.27 | |||
15 | Anders Bjork | Americans (BUF) | LW | 32 | 10 | 15 | 25 | 0 | 4 | 0 | 6 | 101 | 28 | 58 | 9.90% | 8 | 14.82 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 2 | 37.25% | 0 | 0 | 0.78 | 0 | 0 | 0.80 | |||
16 | Mitchell Stephens | Americans (BUF) | C | 77 | 16 | 9 | 25 | 2 | 6 | 0 | 42 | 134 | 43 | 110 | 11.94% | 16 | 9.74 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 2 | 2 | 54.55% | 0 | 0 | 0.32 | 0 | 1 | 0.40 | |||
17 | Gregory Hofmann | Americans (BUF) | C | 59 | 9 | 11 | 20 | 9 | 0 | 0 | 18 | 82 | 17 | 57 | 10.98% | 4 | 7.74 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 52.05% | 0 | 0 | 0.34 | 0 | 1 | 0.41 | |||
18 | Semyon Der-Arguchintsev | Americans (BUF) | C | 72 | 5 | 12 | 17 | -5 | 0 | 0 | 17 | 87 | 31 | 55 | 5.75% | 9 | 7.99 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 48.33% | 0 | 0 | 0.24 | 0 | 1 | 0.25 | |||
19 | Mackenzie MacEachern | Americans (BUF) | LW | 66 | 5 | 8 | 13 | 2 | 20 | 0 | 83 | 80 | 22 | 71 | 6.25% | 10 | 11.79 | 0 | 1 | 1 | 0 | 0 | 0 | 112 | 1 | 0 | 50.00% | 0 | 0 | 0.20 | 0 | 0 | 0.25 | |||
20 | Gustav Lindstrom | Americans (BUF) | D | 19 | 1 | 11 | 12 | -2 | 8 | 0 | 27 | 28 | 10 | 14 | 3.57% | 22 | 19.80 | 1 | 6 | 7 | 0 | 0 | 0 | 46 | 1 | 0 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.51 | |||
21 | Devante Stephens | Americans (BUF) | D | 29 | 1 | 5 | 6 | -1 | 12 | 0 | 25 | 13 | 3 | 6 | 7.69% | 30 | 13.87 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 1 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.16 | |||
22 | Tommy Cross | Americans (BUF) | D | 42 | 1 | 5 | 6 | 4 | 21 | 5 | 19 | 7 | 5 | 4 | 14.29% | 6 | 3.78 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.07 | |||
23 | Luke Witkowski | Americans (BUF) | D | 34 | 2 | 3 | 5 | -1 | 6 | 0 | 28 | 31 | 10 | 17 | 6.45% | 37 | 18.31 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0 | 1 | 29.35% | 0 | 0 | 0.15 | 0 | 0 | 0.20 | |||
24 | Matej Pekar | Americans (BUF) | LW | 32 | 0 | 1 | 1 | -15 | 18 | 0 | 50 | 18 | 7 | 15 | 0.00% | 3 | 10.91 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 34.62% | 0 | 0 | 0.03 | 0 | 0 | -0.15 | |||
25 | Ashton Sautner | Americans (BUF) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 7.38 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
Team Total or Average | 1583 | 298 | 548 | 846 | 41 | 736 | 30 | 2169 | 3129 | 905 | 2245 | 9.52% | 972 | 16.24 | 56 | 106 | 162 | 2467 | 1 | 1 | 2 | 2119 | 42 | 19 | 50.56% | 6582 | 0 | 0 | 1 | 5 | 0.66 | 7 | 21 |
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 | Michael Houser | Americans (BUF) | 61 | 34 | 19 | 5 | 0.906 | 3.37 | 3505 | 8 | 1 | 197 | 2089 | 0 | 2 | 0 | 0.818 | 22 | 59 | 23 | 4 | 4 | 1 |
2 | Louis Domingue | Americans (BUF) | 27 | 9 | 13 | 2 | 0.897 | 3.96 | 1455 | 4 | 0 | 96 | 929 | 0 | 0 | 1 | 0.000 | 0 | 23 | 59 | 1 | 0 | 0 |
Team Total or Average | 88 | 43 | 32 | 7 | 0.903 | 3.54 | 4961 | 12 | 1 | 293 | 3018 | 0 | 2 | 1 | 0.818 | 22 | 82 | 82 | 5 | 4 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork | LW | 26 | 1,150,000$ | 700,000$ | 1,600,000$ | UFA | |||||
Ashton Sautner | D | 28 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Benoit-Olivier Groulx | C | 23 | 910,833$ | 910,833$ | 910,833$ | RFA | |||||
Boris Katchouk | LW | 24 | 821,527$ | 947,916$ | 758,333$ | 758,333$ | UFA | ||||
Byron Froese | C | 32 | 780,667$ | 817,000$ | 762,500$ | 762,500$ | UFA | ||||
Cale Fleury | D | 24 | 816,666$ | 883,333$ | 750,000$ | RFA | |||||
Callum Booth | G | 25 | 928,000$ | 928,000$ | RFA | ||||||
Casey Fitzgerald | D | 26 | 1,937,500$ | 3,125,000$ | 750,000$ | UFA | |||||
Cody Franson | D | 35 | 750,000$ | 750,000$ | UFA | ||||||
Devante Stephens | D | 26 | 1,278,000$ | 1,278,000$ | UFA | ||||||
Dillon Heatherington | D | 27 | 766,667$ | 775,000$ | 762,500$ | 762,500$ | UFA | ||||
Gregory Hofmann | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Gustav Lindstrom | D | 24 | 887,500$ | 925,000$ | 850,000$ | RFA | |||||
Hayden Hodgson | RW | 27 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Jeremy Brodeur | G | 26 | 875,000$ | 875,000$ | UFA | ||||||
Jeremy Groleau | D | 23 | 822,334$ | 898,000$ | 746,667$ | RFA | |||||
Kasper Bjorkqvist | RW | 25 | 900,000$ | 900,000$ | RFA | ||||||
Louis Domingue | G | 31 | 1,066,667$ | 1,650,000$ | 775,000$ | 775,000$ | UFA | ||||
Luke Witkowski | D | 33 | 889,500$ | 1,029,000$ | 750,000$ | UFA | |||||
Mackenzie MacEachern | LW | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Marcus Sorensen | LW/RW | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Matej Pekar | LW | 23 | 913,333$ | 913,333$ | 913,333$ | RFA | |||||
Matthew Peca | C | 29 | 750,000$ | 700,000$ | 762,500$ | 762,500$ | UFA | ||||
Michael Houser | G | 30 | 775,000$ | 800,000$ | 750,000$ | UFA | |||||
Mitchell Stephens | C | 26 | 905,500$ | 1,061,000$ | 750,000$ | UFA | |||||
Sean Malone | C | 27 | 831,000$ | 912,000$ | 750,000$ | UFA | |||||
Semyon Der-Arguchintsev | C | 22 | 766,677$ | 766,677$ | 766,677$ | RFA | |||||
Tommy Cross | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Vincent Desharnais | D | 26 | 775,000$ | 800,000$ | 762,500$ | 762,500$ | UFA | ||||
Will Butcher | D | 28 | 1,351,000$ | 1,952,000$ | 750,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Checkers | 6 | 2 | 2 | 0 | 0 | 2 | 0 | 0 | 15 | 19 | -4 | 6 | 0.500 | 15 | 26 | 41 | 0 | 0 | 111 | 85 | 91 | 12 | 227 | 1035 | 969 | 1072 | 61 | 205 | 73 | 55 | 149 | 24 | 5 | 20.83% | 24 | 1 | 95.83% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 35.7% | 6.6% | 90.7% | 97.3 | Unlucky |
2 | Marlies | 6 | 1 | 3 | 0 | 1 | 0 | 0 | 1 | 22 | 26 | -4 | 5 | 0.417 | 22 | 38 | 60 | 0 | 0 | 111 | 85 | 91 | 12 | 224 | 1035 | 969 | 1072 | 61 | 243 | 69 | 32 | 137 | 26 | 5 | 19.23% | 15 | 7 | 53.33% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 47.2% | 9.8% | 89.3% | 99.1 | FUN |
3 | Binghamton Senateurs | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 27 | 25 | 2 | 7 | 0.583 | 27 | 52 | 79 | 0 | 0 | 111 | 85 | 91 | 12 | 218 | 1035 | 969 | 1072 | 61 | 258 | 53 | 66 | 135 | 17 | 4 | 23.53% | 32 | 6 | 81.25% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 54.8% | 12.4% | 90.3% | 102.7 | FUN |
4 | Bears | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 111 | 85 | 91 | 12 | 91 | 1035 | 969 | 1072 | 61 | 74 | 12 | 18 | 59 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 80.0% | 8.8% | 93.2% | 102.0 | DULL |
5 | Rockets | 6 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 23 | 30 | -7 | 4 | 0.333 | 23 | 38 | 61 | 0 | 0 | 111 | 85 | 91 | 12 | 245 | 1035 | 969 | 1072 | 61 | 273 | 77 | 48 | 149 | 32 | 6 | 18.75% | 24 | 8 | 66.67% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 43.6% | 9.4% | 89.0% | 98.4 | FUN |
6 | Providence Bruins | 6 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 25 | 22 | 3 | 8 | 0.667 | 25 | 46 | 71 | 0 | 0 | 111 | 85 | 91 | 12 | 226 | 1035 | 969 | 1072 | 61 | 213 | 55 | 44 | 149 | 14 | 3 | 21.43% | 21 | 3 | 85.71% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 53.7% | 11.1% | 89.7% | 100.7 | FUN |
7 | Wolves | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 111 | 85 | 91 | 12 | 84 | 1035 | 969 | 1072 | 61 | 91 | 28 | 21 | 50 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 71.4% | 8.3% | 95.6% | 103.9 | DULL |
8 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 111 | 85 | 91 | 12 | 34 | 1035 | 969 | 1072 | 61 | 32 | 9 | 10 | 26 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 80.0% | 11.8% | 93.8% | 105.5 | LUCKY |
9 | Phantoms | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 13 | -1 | 2 | 0.333 | 12 | 22 | 34 | 0 | 0 | 111 | 85 | 91 | 12 | 98 | 1035 | 969 | 1072 | 61 | 121 | 35 | 30 | 67 | 8 | 1 | 12.50% | 14 | 4 | 71.43% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 55.0% | 12.2% | 89.3% | 101.5 | FUN |
10 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 111 | 85 | 91 | 12 | 67 | 1035 | 969 | 1072 | 61 | 74 | 18 | 29 | 38 | 8 | 4 | 50.00% | 11 | 5 | 54.55% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 36.4% | 11.9% | 83.8% | 95.7 | FUN |
11 | islanders | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 8 | 3 | 6 | 1.000 | 11 | 18 | 29 | 0 | 0 | 111 | 85 | 91 | 12 | 116 | 1035 | 969 | 1072 | 61 | 129 | 36 | 22 | 69 | 9 | 1 | 11.11% | 11 | 3 | 72.73% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 66.7% | 9.5% | 93.8% | 103.3 | LUCKY |
12 | IceHogs | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 4 | 0.500 | 13 | 21 | 34 | 0 | 0 | 111 | 85 | 91 | 12 | 162 | 1035 | 969 | 1072 | 61 | 160 | 36 | 24 | 85 | 14 | 2 | 14.29% | 10 | 3 | 70.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 47.8% | 8.0% | 90.6% | 98.6 | Unlucky |
13 | Griffins | 6 | 1 | 4 | 0 | 0 | 1 | 0 | 0 | 11 | 17 | -6 | 3 | 0.250 | 11 | 21 | 32 | 0 | 0 | 111 | 85 | 91 | 12 | 214 | 1035 | 969 | 1072 | 61 | 184 | 60 | 34 | 114 | 26 | 3 | 11.54% | 17 | 2 | 88.24% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 34.8% | 5.1% | 90.8% | 95.9 | Unlucky |
14 | Monsters | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 111 | 85 | 91 | 12 | 69 | 1035 | 969 | 1072 | 61 | 63 | 30 | 18 | 42 | 13 | 4 | 30.77% | 9 | 2 | 77.78% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 55.6% | 13.0% | 90.5% | 103.5 | FUN |
15 | Barracuda | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 111 | 85 | 91 | 12 | 79 | 1035 | 969 | 1072 | 61 | 83 | 17 | 20 | 47 | 3 | 2 | 66.67% | 10 | 2 | 80.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 36.4% | 7.6% | 89.2% | 96.8 | Unlucky |
16 | Condors | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 111 | 85 | 91 | 12 | 62 | 1035 | 969 | 1072 | 61 | 69 | 16 | 16 | 48 | 5 | 1 | 20.00% | 8 | 3 | 62.50% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 50.0% | 8.1% | 89.9% | 97.9 | Unlucky |
17 | Iowa Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 111 | 85 | 91 | 12 | 54 | 1035 | 969 | 1072 | 61 | 29 | 11 | 6 | 25 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 50.0% | 9.3% | 86.2% | 95.5 | FUN |
18 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 111 | 85 | 91 | 12 | 28 | 1035 | 969 | 1072 | 61 | 19 | 5 | 4 | 25 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 100.0% | 7.1% | 100.0% | 107.1 | DULL |
19 | Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 111 | 85 | 91 | 12 | 31 | 1035 | 969 | 1072 | 61 | 31 | 7 | 4 | 21 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 25.0% | 3.2% | 87.1% | 90.3 | Unlucky |
20 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 111 | 85 | 91 | 12 | 36 | 1035 | 969 | 1072 | 61 | 41 | 15 | 12 | 19 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 60.0% | 11.1% | 95.1% | 106.2 | LUCKY |
21 | Gulls | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 111 | 85 | 91 | 12 | 31 | 1035 | 969 | 1072 | 61 | 31 | 8 | 2 | 24 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 33.3% | 9.7% | 80.6% | 90.3 | FUN |
22 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 111 | 85 | 91 | 12 | 31 | 1035 | 969 | 1072 | 61 | 30 | 7 | 19 | 25 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 42.9% | 9.7% | 86.7% | 96.3 | FUN |
23 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 111 | 85 | 91 | 12 | 40 | 1035 | 969 | 1072 | 61 | 26 | 10 | 8 | 34 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 60.0% | 10.0% | 92.3% | 102.3 | LUCKY |
24 | Comets | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 8 | 2 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 111 | 85 | 91 | 12 | 83 | 1035 | 969 | 1072 | 61 | 65 | 13 | 14 | 40 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 60.0% | 12.0% | 87.7% | 99.7 | FUN |
25 | W-B/Scranton Penguins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 111 | 85 | 91 | 12 | 107 | 1035 | 969 | 1072 | 61 | 92 | 37 | 18 | 57 | 8 | 3 | 37.50% | 8 | 0 | 100.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 46.7% | 9.3% | 91.3% | 100.7 | LUCKY |
26 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 111 | 85 | 91 | 12 | 38 | 1035 | 969 | 1072 | 61 | 18 | 6 | 4 | 23 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 80.0% | 13.2% | 94.4% | 107.6 | LUCKY |
27 | Crunch | 6 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 27 | 20 | 7 | 8 | 0.667 | 27 | 48 | 75 | 1 | 0 | 111 | 85 | 91 | 12 | 247 | 1035 | 969 | 1072 | 61 | 198 | 57 | 50 | 157 | 21 | 7 | 33.33% | 24 | 2 | 91.67% | 1 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 52.6% | 10.9% | 89.9% | 100.8 | FUN |
28 | Admirals | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 111 | 85 | 91 | 12 | 49 | 1035 | 969 | 1072 | 61 | 40 | 12 | 2 | 23 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 57.1% | 8.2% | 92.5% | 100.7 | DULL |
29 | Moose | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 111 | 85 | 91 | 12 | 33 | 1035 | 969 | 1072 | 61 | 41 | 19 | 10 | 25 | 6 | 2 | 33.33% | 5 | 2 | 60.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 33.3% | 9.1% | 90.2% | 99.3 | FUN |
30 | Silver Knights | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 111 | 85 | 91 | 12 | 45 | 1035 | 969 | 1072 | 61 | 41 | 17 | 10 | 26 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 42.9% | 8.9% | 87.8% | 96.7 | Unlucky |
31 | Firebirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 111 | 85 | 91 | 12 | 47 | 1035 | 969 | 1072 | 61 | 45 | 14 | 6 | 32 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 62.5% | 10.6% | 91.1% | 101.7 | Unlucky |
_Vs Division | 42 | 14 | 19 | 0 | 2 | 4 | 2 | 1 | 150 | 159 | -9 | 41 | 0.488 | 150 | 269 | 419 | 1 | 0 | 111 | 85 | 91 | 12 | 1601 | 1035 | 969 | 1072 | 61 | 1574 | 444 | 329 | 990 | 160 | 33 | 20.63% | 157 | 29 | 81.53% | 1 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 47.4% | 9.4% | 89.9% | 99.3 | FUN | |
_Vs Conference | 61 | 24 | 24 | 0 | 4 | 4 | 4 | 1 | 225 | 223 | 2 | 69 | 0.566 | 225 | 405 | 630 | 1 | 0 | 111 | 85 | 91 | 12 | 2316 | 1035 | 969 | 1072 | 61 | 2283 | 653 | 499 | 1412 | 227 | 49 | 21.59% | 234 | 50 | 78.63% | 1 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 50.4% | 9.7% | 90.2% | 99.9 | FUN | |
_Since Last GM Reset | 82 | 34 | 32 | 0 | 5 | 6 | 4 | 1 | 296 | 295 | 1 | 93 | 0.567 | 296 | 534 | 830 | 1 | 1 | 111 | 85 | 91 | 12 | 3116 | 1035 | 969 | 1072 | 61 | 3019 | 862 | 656 | 1920 | 296 | 63 | 21.28% | 301 | 65 | 78.41% | 1 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 50.3% | 9.5% | 90.2% | 99.7 | FUN | |
Total | 82 | 34 | 32 | 0 | 5 | 6 | 4 | 1 | 296 | 295 | 1 | 93 | 0.567 | 296 | 534 | 830 | 1 | 1 | 111 | 85 | 91 | 12 | 3116 | 1035 | 969 | 1072 | 61 | 3019 | 862 | 656 | 1920 | 296 | 63 | 21.28% | 301 | 65 | 78.41% | 1 | 1729 | 3280 | 52.71% | 1613 | 3145 | 51.29% | 694 | 1380 | 50.29% | 1976 | 1360 | 1925 | 609 | 1066 | 528 | 50.3% | 9.5% | 90.2% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3280 |
Neutral Zone Start | 1380 |
Defensive Zone Start | 3145 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 4036 |
Faceoffs Lost | 3769 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.6 | 9.57 |
2nd Period | 24.4 | 20.31 |
3rd Period | 37.5 | 30.68 |
Overtime | 38.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 231 |
---|---|
PP Goal | 63 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 24 | 19 |
Lost | 13 | 19 |
Overtime Lost | 4 | 3 |
PP Attempt | 296 |
---|---|
PP Goal | 63 |
PK Attempt | 301 |
PK Goal Against | 65 |
Home | |
---|---|
Shots For | 38.0 |
Shots Against | 36.8 |
Goals For | 3.6 |
Goals Against | 3.6 |
Hits | 23.4 |
Shots Blocked | 10.5 |
Pim | 8.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,004,709$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Rochester | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 24$ | 14$ | $ | $ | $ |
Attendance | 80137 | 39341 | |||
Attendance PCT | 97.73% | 95.95% | 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 | 2914 - 97.14% | 89,911$ | 3,686,354$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,004,709$ | 2,744,838$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
498,329$ | 0$ | 497,351$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 16,154$ | 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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