Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Philipp Kurashev | 23 | C/LW/RW | 100.00 | 62 | 36 | 91 | 70 | 72 | 81 | 94 | 68 | 71 | 66 | 69 | 67 | 73 | 63 | 64 | 0 | 50 | 71 | 23 | 837,500$/2yrs | |||
Parker Kelly | 75 | C/LW | 100.00 | 83 | 41 | 69 | 66 | 72 | 79 | 88 | 64 | 59 | 62 | 68 | 71 | 64 | 63 | 65 | 0 | 50 | 71 | 23 | 826,667$/3yrs | |||
Michael Pezzetta | 55 | C/LW | 100.00 | 81 | 79 | 60 | 66 | 81 | 78 | 84 | 62 | 56 | 62 | 64 | 57 | 62 | 64 | 66 | 0 | 50 | 69 | 25 | 843,750$/2yrs | |||
Oskar Steen | 62 | C/RW | 100.00 | 74 | 37 | 88 | 66 | 69 | 82 | 85 | 64 | 72 | 65 | 61 | 62 | 63 | 65 | 66 | 0 | 50 | 69 | 25 | 866,667$/3yrs | |||
Ty Dellandrea | 10 | C/RW | 100.00 | 75 | 38 | 82 | 67 | 73 | 83 | 88 | 65 | 77 | 63 | 59 | 60 | 66 | 62 | 64 | 0 | 50 | 69 | 22 | 1,400,833$/2yrs | |||
Gemel Smith | 64 | C/LW/RW | 100.00 | 72 | 71 | 74 | 63 | 71 | 84 | 75 | 62 | 80 | 66 | 59 | 64 | 58 | 67 | 70 | 0 | 50 | 68 | 29 | 784,500$/2yrs | |||
Curtis Douglas | 28 | C | 100.00 | 78 | 83 | 67 | 56 | 99 | 74 | 86 | 58 | 68 | 59 | 57 | 64 | 56 | 62 | 64 | 0 | 50 | 68 | 23 | 841,667$/3yrs | |||
Trey Fix-Wolansky | 46 | RW | 100.00 | 62 | 38 | 80 | 64 | 63 | 86 | 82 | 63 | 64 | 61 | 62 | 60 | 63 | 64 | 65 | 0 | 50 | 67 | 23 | 837,500$/2yrs | |||
Eduards Tralmaks | 68 | C/LW/RW | 100.00 | 69 | 38 | 81 | 57 | 88 | 73 | 79 | 58 | 64 | 59 | 60 | 62 | 56 | 65 | 67 | 0 | 50 | 67 | 26 | 750,000$/1yrs | |||
Gabriel Bourque | 50 | LW | 100.00 | 63 | 39 | 73 | 58 | 72 | 77 | 95 | 56 | 60 | 58 | 57 | 59 | 57 | 72 | 74 | 0 | 50 | 66 | 32 | 750,000$/1yrs | |||
Givani Smith | 54 | LW/RW | 100.00 | 84 | 83 | 60 | 56 | 83 | 74 | 78 | 57 | 55 | 58 | 59 | 56 | 61 | 63 | 65 | 0 | 50 | 66 | 25 | 1,219,000$/2yrs | |||
Akil Thomas | 41 | C/RW | 100.00 | 62 | 37 | 90 | 58 | 69 | 82 | 76 | 57 | 66 | 56 | 59 | 55 | 58 | 62 | 63 | 0 | 50 | 64 | 22 | 910,833$/2yrs | |||
Nikita Okhotiuk | 82 | D | 100.00 | 79 | 36 | 70 | 61 | 76 | 81 | 85 | 62 | 30 | 63 | 62 | 60 | 55 | 62 | 64 | 0 | 50 | 69 | 22 | 905,000$/3yrs | |||
Jordan Spence | 53 | D | 100.00 | 64 | 37 | 83 | 66 | 67 | 89 | 81 | 65 | 30 | 67 | 62 | 64 | 52 | 61 | 62 | 0 | 50 | 69 | 22 | 919,167$/3yrs | |||
Reilly Walsh | 8 | D | 100.00 | 58 | 36 | 86 | 69 | 71 | 82 | 85 | 66 | 30 | 67 | 56 | 59 | 51 | 63 | 65 | 0 | 50 | 68 | 23 | 925,000$/2yrs | |||
Ryan Merkley | 6 | D | 100.00 | 62 | 39 | 81 | 68 | 72 | 83 | 86 | 65 | 30 | 66 | 57 | 58 | 50 | 62 | 64 | 0 | 50 | 68 | 22 | 1,163,333$/2yrs | |||
Vladislav Kolyachonok | 92 | D | 100.00 | 67 | 37 | 90 | 61 | 76 | 82 | 81 | 59 | 30 | 60 | 57 | 58 | 52 | 61 | 63 | 0 | 50 | 66 | 21 | 905,000$/3yrs | |||
Darren Raddysh | 43 | D | 100.00 | 67 | 39 | 83 | 56 | 76 | 81 | 83 | 57 | 30 | 59 | 56 | 63 | 49 | 66 | 68 | 0 | 50 | 66 | 27 | 1,001,667$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Jonatan Berggren | 52 | C/LW/RW | 65.68 | 62 | 37 | 84 | 69 | 71 | 89 | 85 | 68 | 73 | 67 | 62 | 56 | 69 | 62 | 64 | 0 | 50 | 69 | 22 | 925,000$/3yrs | |||
Jonathan Gruden | 45 | LW | 100.00 | 61 | 34 | 74 | 57 | 69 | 72 | 81 | 56 | 59 | 57 | 58 | 53 | 57 | 62 | 64 | 0 | 50 | 63 | 22 | 802,500$/2yrs | |||
Curtis Hall | 20 | C | 100.00 | 64 | 38 | 91 | 52 | 83 | 72 | 74 | 53 | 58 | 54 | 55 | 51 | 53 | 62 | 64 | 0 | 50 | 62 | 22 | 925,000$/3yrs | |||
Ryan Chyzowski | 13 | C | 100.00 | 64 | 37 | 91 | 58 | 72 | 68 | 62 | 56 | 63 | 52 | 59 | 53 | 57 | 62 | 64 | 0 | 50 | 62 | 22 | 750,000$/1yrs | |||
Dmitry Zavgorodniy | 89 | RW | 100.00 | 56 | 36 | 92 | 57 | 64 | 66 | 67 | 56 | 51 | 54 | 53 | 52 | 59 | 62 | 64 | 0 | 50 | 60 | 22 | 780,000$/1yrs | |||
Nick Cicek | 59 | D | 100.00 | 75 | 43 | 68 | 58 | 84 | 68 | 81 | 57 | 30 | 62 | 54 | 59 | 47 | 62 | 64 | 0 | 50 | 66 | 22 | 840,000$/3yrs | |||
Alexander Peters | 14 | D | 100.00 | 71 | 43 | 65 | 56 | 90 | 68 | 63 | 59 | 30 | 58 | 54 | 61 | 45 | 66 | 68 | 0 | 50 | 65 | 26 | 750,000$/1yrs | |||
Will Reilly | 44 | D | 100.00 | 71 | 39 | 78 | 53 | 80 | 68 | 71 | 52 | 30 | 54 | 53 | 56 | 45 | 65 | 67 | 0 | 50 | 62 | 25 | 816,250$/1yrs | |||
Dawson Barteaux | 56 | D | 100.00 | 65 | 38 | 92 | 53 | 74 | 62 | 66 | 55 | 30 | 53 | 52 | 54 | 45 | 62 | 64 | 0 | 50 | 60 | 23 | 783,333$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Felix Sandstrom | 32 | 100.00 | 74 | 77 | 76 | 79 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 65 | 73 | 0 | 50 | 75 | 26 | 963,333$/3yrs |
Alex D'Orio | 33 | 100.00 | 70 | 72 | 73 | 82 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 63 | 69 | 0 | 50 | 72 | 23 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
Kevin Mandolese | 70 | 100.00 | 68 | 70 | 69 | 82 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 62 | 67 | 0 | 50 | 70 | 22 | 861,667$/2yrs |
Filip Lindberg | 31 | 100.00 | 68 | 66 | 67 | 72 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 63 | 69 | 0 | 50 | 69 | 24 | 925,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Félix Potvin | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 51 | 5 | 0$ |
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 | Ty Dellandrea | Marlies (TOR) | C/RW | 82 | 20 | 48 | 68 | 16 | 30 | 0 | 69 | 245 | 73 | 212 | 8.16% | 11 | 16.15 | 5 | 17 | 22 | 0 | 1 | 1 | 7 | 1 | 2 | 51.82% | 0 | 0 | 0.83 | 0 | 2 | 0.87 | |||
2 | Oskar Steen | Marlies (TOR) | C/RW | 82 | 31 | 35 | 66 | 5 | 26 | 0 | 113 | 283 | 67 | 175 | 10.95% | 14 | 16.51 | 8 | 14 | 22 | 1 | 1 | 2 | 47 | 5 | 1 | 50.75% | 0 | 0 | 0.80 | 0 | 1 | 0.86 | |||
3 | Jonatan Berggren | Marlies (TOR) | C/LW/RW | 76 | 32 | 34 | 66 | -5 | 14 | 0 | 53 | 243 | 59 | 181 | 13.17% | 12 | 17.30 | 6 | 12 | 18 | 0 | 0 | 0 | 20 | 6 | 2 | 58.06% | 1 | 1 | 0.87 | 0 | 1 | 0.87 | |||
4 | Ryan Merkley | Marlies (TOR) | D | 82 | 9 | 52 | 61 | 20 | 36 | 0 | 102 | 118 | 39 | 81 | 7.63% | 81 | 19.23 | 5 | 17 | 22 | 0 | 1 | 1 | 142 | 1 | 0 | 0.00% | 0 | 0 | 0.74 | 0 | 0 | 0.70 | |||
5 | Michael Pezzetta | Marlies (TOR) | C/LW | 82 | 25 | 32 | 57 | -2 | 54 | 0 | 228 | 272 | 52 | 167 | 9.19% | 13 | 17.62 | 5 | 12 | 17 | 0 | 0 | 0 | 1 | 3 | 1 | 37.17% | 0 | 0 | 0.70 | 1 | 1 | 0.73 | |||
6 | Gemel Smith | Marlies (TOR) | C/LW/RW | 82 | 28 | 24 | 52 | 16 | 30 | 0 | 68 | 213 | 56 | 150 | 13.15% | 22 | 13.86 | 11 | 10 | 21 | 1 | 2 | 3 | 156 | 6 | 1 | 54.82% | 0 | 0 | 0.63 | 0 | 0 | 0.71 | |||
7 | Eduards Tralmaks | Marlies (TOR) | C/LW/RW | 82 | 21 | 28 | 49 | 6 | 24 | 0 | 80 | 146 | 25 | 86 | 14.38% | 7 | 12.72 | 7 | 9 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 48.78% | 1 | 0 | 0.60 | 0 | 0 | 0.57 | |||
8 | Jordan Spence | Marlies (TOR) | D | 82 | 11 | 38 | 49 | 12 | 94 | 0 | 179 | 108 | 26 | 53 | 10.19% | 132 | 20.71 | 0 | 2 | 2 | 0 | 0 | 0 | 218 | 3 | 1 | 0.00% | 0 | 0 | 0.60 | 0 | 0 | 0.48 | |||
9 | Nikita Okhotiuk | Marlies (TOR) | D | 79 | 9 | 38 | 47 | 2 | 122 | 0 | 281 | 75 | 26 | 38 | 12.00% | 118 | 21.46 | 3 | 2 | 5 | 0 | 1 | 1 | 223 | 0 | 0 | 0.00% | 0 | 0 | 0.59 | 0 | 0 | 0.37 | |||
10 | Reilly Walsh | Marlies (TOR) | D | 82 | 10 | 36 | 46 | -7 | 50 | 0 | 89 | 122 | 33 | 84 | 8.20% | 82 | 19.19 | 6 | 11 | 17 | 0 | 2 | 2 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0.56 | 0 | 0 | 0.44 | |||
11 | Philipp Kurashev | Marlies (TOR) | C/LW/RW | 32 | 13 | 27 | 40 | -1 | 0 | 0 | 9 | 134 | 41 | 108 | 9.70% | 11 | 20.81 | 3 | 9 | 12 | 0 | 0 | 0 | 51 | 2 | 0 | 51.06% | 0 | 1 | 1.25 | 1 | 2 | 1.23 | |||
12 | Trey Fix-Wolansky | Marlies (TOR) | RW | 83 | 17 | 21 | 38 | -3 | 16 | 0 | 57 | 184 | 66 | 130 | 9.24% | 28 | 14.54 | 4 | 3 | 7 | 0 | 0 | 0 | 28 | 2 | 0 | 46.93% | 0 | 0 | 0.46 | 1 | 3 | 0.50 | |||
13 | Vladislav Kolyachonok | Marlies (TOR) | D | 80 | 9 | 27 | 36 | 7 | 14 | 0 | 48 | 52 | 18 | 42 | 17.31% | 103 | 18.88 | 0 | 2 | 2 | 1 | 1 | 2 | 259 | 1 | 1 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.43 | |||
14 | Curtis Douglas | Marlies (TOR) | C | 82 | 11 | 21 | 32 | 7 | 45 | 5 | 115 | 101 | 37 | 85 | 10.89% | 16 | 13.40 | 0 | 1 | 1 | 1 | 0 | 1 | 254 | 2 | 0 | 50.33% | 0 | 0 | 0.39 | 0 | 2 | 0.33 | |||
15 | Parker Kelly | Marlies (TOR) | C/LW | 32 | 11 | 15 | 26 | -3 | 16 | 0 | 127 | 122 | 37 | 87 | 9.02% | 9 | 18.62 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 3 | 0 | 48.98% | 0 | 0 | 0.81 | 0 | 2 | 0.89 | |||
16 | Givani Smith | Marlies (TOR) | LW/RW | 82 | 9 | 9 | 18 | 5 | 36 | 0 | 130 | 99 | 38 | 56 | 9.09% | 9 | 10.60 | 4 | 5 | 9 | 0 | 0 | 0 | 91 | 0 | 0 | 52.17% | 0 | 0 | 0.22 | 1 | 1 | 0.26 | |||
17 | Darren Raddysh | Marlies (TOR) | D | 73 | 2 | 16 | 18 | 6 | 48 | 0 | 143 | 51 | 20 | 24 | 3.92% | 105 | 16.50 | 0 | 0 | 0 | 0 | 0 | 0 | 232 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.25 | |||
18 | Akil Thomas | Marlies (TOR) | C/RW | 50 | 2 | 8 | 10 | 4 | 2 | 0 | 2 | 38 | 12 | 20 | 5.26% | 7 | 10.14 | 0 | 2 | 2 | 0 | 0 | 0 | 142 | 0 | 1 | 40.82% | 0 | 0 | 0.20 | 0 | 0 | 0.22 | |||
19 | Gabriel Bourque | Marlies (TOR) | LW | 31 | 1 | 1 | 2 | 2 | 2 | 0 | 16 | 11 | 1 | 12 | 9.09% | 2 | 5.42 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 40.00% | 0 | 0 | 0.06 | 0 | 0 | 0.10 | |||
20 | Nick Cicek | Marlies (TOR) | D | 34 | 0 | 2 | 2 | -2 | 26 | 0 | 49 | 4 | 3 | 2 | 0.00% | 12 | 6.88 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | -0.06 | |||
21 | Alexander Peters | Marlies (TOR) | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 4 | 17.70 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
Team Total or Average | 1391 | 271 | 512 | 783 | 84 | 685 | 5 | 1960 | 2622 | 729 | 1793 | 10.34% | 798 | 15.99 | 68 | 128 | 196 | 2190 | 4 | 9 | 13 | 2008 | 36 | 11 | 51.26% | 5293 | 0 | 0 | 2 | 2 | 0.70 | 4 | 15 |
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 | Felix Sandstrom | Marlies (TOR) | 59 | 33 | 21 | 3 | 0.910 | 3.34 | 3340 | 4 | 1 | 186 | 2071 | 0 | 1 | 0 | 0.842 | 19 | 53 | 29 | 1 | 1 | 6 |
2 | Alex D'Orio | Marlies (TOR) | 10 | 4 | 2 | 1 | 0.895 | 3.50 | 532 | 2 | 0 | 31 | 296 | 0 | 0 | 1 | 0.000 | 0 | 10 | 16 | 0 | 1 | 1 |
Team Total or Average | 69 | 37 | 23 | 4 | 0.908 | 3.36 | 3872 | 6 | 1 | 217 | 2367 | 0 | 1 | 1 | 0.842 | 19 | 63 | 45 | 1 | 2 | 7 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas | C/RW | 22 | 910,833$ | 910,833$ | 910,833$ | RFA | |||||
Alex D'Orio | G | 23 | 750,000$ | 750,000$ | RFA | ||||||
Alexander Peters | D | 26 | 750,000$ | 750,000$ | UFA | ||||||
Curtis Douglas | C | 23 | 841,667$ | 850,000$ | 837,500$ | 837,500$ | RFA | ||||
Curtis Hall | C | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Darren Raddysh | D | 27 | 1,001,667$ | 1,480,000$ | 762,500$ | 762,500$ | UFA | ||||
Dawson Barteaux | D | 23 | 783,333$ | 783,333$ | 783,333$ | RFA | |||||
Dmitry Zavgorodniy | RW | 22 | 780,000$ | 780,000$ | RFA | ||||||
Eduards Tralmaks | C/LW/RW | 26 | 750,000$ | 750,000$ | UFA | ||||||
Felix Sandstrom | G | 26 | 963,333$ | 1,340,000$ | 775,000$ | 775,000$ | UFA | ||||
Filip Lindberg | G | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Gabriel Bourque | LW | 32 | 750,000$ | 700,000$ | UFA | ||||||
Gemel Smith | C/LW/RW | 29 | 784,500$ | 819,000$ | 750,000$ | UFA | |||||
Givani Smith | LW/RW | 25 | 1,219,000$ | 1,688,000$ | 750,000$ | UFA | |||||
Jonatan Berggren | C/LW/RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jonathan Gruden | LW | 22 | 802,500$ | 802,500$ | 802,500$ | RFA | |||||
Jordan Spence | D | 22 | 919,167$ | 919,167$ | 919,167$ | 919,167$ | RFA | ||||
Kevin Mandolese | G | 22 | 861,667$ | 861,667$ | 861,667$ | RFA | |||||
Michael Pezzetta | C/LW | 25 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Nick Cicek | D | 22 | 840,000$ | 850,000$ | 835,000$ | 835,000$ | RFA | ||||
Nikita Okhotiuk | D | 22 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | RFA | ||||
Oskar Steen | C/RW | 25 | 866,667$ | 1,000,000$ | 800,000$ | 800,000$ | UFA | ||||
Parker Kelly | C/LW | 23 | 826,667$ | 955,000$ | 762,500$ | 762,500$ | RFA | ||||
Philipp Kurashev | C/LW/RW | 23 | 837,500$ | 925,000$ | 750,000$ | RFA | |||||
Reilly Walsh | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Ryan Chyzowski | C | 22 | 750,000$ | 750,000$ | RFA | ||||||
Ryan Merkley | D | 22 | 1,163,333$ | 1,163,333$ | 1,163,333$ | RFA | |||||
Trey Fix-Wolansky | RW | 23 | 837,500$ | 925,000$ | 750,000$ | RFA | |||||
Ty Dellandrea | C/RW | 22 | 1,400,833$ | 1,400,833$ | 1,400,833$ | RFA | |||||
Vladislav Kolyachonok | D | 21 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | RFA | ||||
Will Reilly | D | 25 | 816,250$ | 816,250$ | RFA |
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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 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 26 | 16 | 10 | 8 | 0.667 | 26 | 50 | 76 | 0 | 1 | 121 | 91 | 95 | 10 | 201 | 975 | 956 | 1028 | 60 | 199 | 61 | 52 | 162 | 22 | 5 | 22.73% | 26 | 4 | 84.62% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 63.6% | 12.9% | 92.0% | 104.9 | LUCKY |
2 | Americans | 6 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 26 | 22 | 4 | 9 | 0.750 | 26 | 46 | 72 | 0 | 0 | 121 | 91 | 95 | 10 | 243 | 975 | 956 | 1028 | 60 | 224 | 64 | 54 | 162 | 15 | 7 | 46.67% | 26 | 5 | 80.77% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 52.8% | 10.7% | 90.2% | 100.9 | FUN |
3 | Binghamton Senateurs | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 25 | 25 | 0 | 6 | 0.500 | 25 | 44 | 69 | 0 | 0 | 121 | 91 | 95 | 10 | 226 | 975 | 956 | 1028 | 60 | 253 | 88 | 42 | 159 | 12 | 3 | 25.00% | 21 | 8 | 61.90% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 56.4% | 11.1% | 90.1% | 101.2 | FUN |
4 | Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 2 | 0.500 | 13 | 24 | 37 | 0 | 0 | 121 | 91 | 95 | 10 | 95 | 975 | 956 | 1028 | 60 | 65 | 21 | 12 | 65 | 9 | 1 | 11.11% | 6 | 1 | 83.33% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 63.2% | 13.7% | 87.7% | 101.4 | FUN |
5 | Rockets | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 14 | 21 | -7 | 2 | 0.167 | 14 | 24 | 38 | 0 | 0 | 121 | 91 | 95 | 10 | 191 | 975 | 956 | 1028 | 60 | 218 | 66 | 70 | 147 | 13 | 1 | 7.69% | 33 | 6 | 81.82% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 46.4% | 7.3% | 90.4% | 97.7 | Unlucky |
6 | Providence Bruins | 6 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 21 | 23 | -2 | 5 | 0.417 | 21 | 37 | 58 | 0 | 0 | 121 | 91 | 95 | 10 | 238 | 975 | 956 | 1028 | 60 | 231 | 51 | 44 | 126 | 25 | 5 | 20.00% | 20 | 4 | 80.00% | 2 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 45.7% | 8.8% | 90.0% | 98.9 | Unlucky |
7 | Wolves | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 19 | -4 | 4 | 0.500 | 15 | 27 | 42 | 0 | 0 | 121 | 91 | 95 | 10 | 163 | 975 | 956 | 1028 | 60 | 140 | 41 | 36 | 109 | 24 | 9 | 37.50% | 18 | 5 | 72.22% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 30.0% | 9.2% | 86.4% | 95.6 | FUN |
8 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 121 | 91 | 95 | 10 | 79 | 975 | 956 | 1028 | 60 | 74 | 9 | 12 | 52 | 8 | 2 | 25.00% | 6 | 0 | 100.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 37.5% | 6.3% | 93.2% | 99.6 | DULL |
9 | Phantoms | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 121 | 91 | 95 | 10 | 69 | 975 | 956 | 1028 | 60 | 68 | 13 | 12 | 46 | 11 | 5 | 45.45% | 6 | 1 | 83.33% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 36.4% | 13.0% | 88.2% | 101.3 | FUN |
10 | Wolf Pack | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 13 | -3 | 2 | 0.333 | 10 | 16 | 26 | 0 | 0 | 121 | 91 | 95 | 10 | 106 | 975 | 956 | 1028 | 60 | 125 | 28 | 24 | 94 | 9 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 47.6% | 9.4% | 89.6% | 99.0 | FUN |
11 | islanders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 121 | 91 | 95 | 10 | 73 | 975 | 956 | 1028 | 60 | 74 | 22 | 18 | 67 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 1 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 53.8% | 12.3% | 89.2% | 101.5 | FUN |
12 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 121 | 91 | 95 | 10 | 38 | 975 | 956 | 1028 | 60 | 46 | 7 | 10 | 32 | 5 | 3 | 60.00% | 5 | 3 | 40.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 16.7% | 10.5% | 82.6% | 93.1 | FUN |
13 | Griffins | 6 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 24 | 23 | 1 | 6 | 0.500 | 24 | 41 | 65 | 0 | 0 | 121 | 91 | 95 | 10 | 226 | 975 | 956 | 1028 | 60 | 217 | 61 | 68 | 136 | 20 | 5 | 25.00% | 32 | 9 | 71.88% | 1 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 57.6% | 10.6% | 89.4% | 100.0 | FUN |
14 | Monsters | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 15 | 8 | 7 | 6 | 1.000 | 15 | 25 | 40 | 0 | 0 | 121 | 91 | 95 | 10 | 98 | 975 | 956 | 1028 | 60 | 101 | 17 | 27 | 78 | 14 | 4 | 28.57% | 10 | 1 | 90.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 61.1% | 15.3% | 92.1% | 107.4 | LUCKY |
15 | Barracuda | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 121 | 91 | 95 | 10 | 32 | 975 | 956 | 1028 | 60 | 33 | 11 | 10 | 31 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 66.7% | 12.5% | 90.9% | 103.4 | FUN |
16 | Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 121 | 91 | 95 | 10 | 21 | 975 | 956 | 1028 | 60 | 49 | 19 | 12 | 22 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 66.7% | 9.5% | 93.9% | 103.4 | LUCKY |
17 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 121 | 91 | 95 | 10 | 29 | 975 | 956 | 1028 | 60 | 36 | 12 | 12 | 29 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 25.0% | 6.9% | 88.9% | 95.8 | Unlucky |
18 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 121 | 91 | 95 | 10 | 54 | 975 | 956 | 1028 | 60 | 65 | 21 | 16 | 52 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 72.7% | 16.7% | 92.3% | 109.0 | LUCKY |
19 | Thunderbirds | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 121 | 91 | 95 | 10 | 63 | 975 | 956 | 1028 | 60 | 66 | 26 | 24 | 40 | 9 | 2 | 22.22% | 12 | 1 | 91.67% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 45.5% | 11.1% | 89.4% | 100.5 | FUN |
20 | Wranglers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 121 | 91 | 95 | 10 | 41 | 975 | 956 | 1028 | 60 | 38 | 18 | 10 | 25 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 40.0% | 9.8% | 92.1% | 101.9 | LUCKY |
21 | Gulls | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 121 | 91 | 95 | 10 | 33 | 975 | 956 | 1028 | 60 | 45 | 17 | 12 | 28 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 50.0% | 12.1% | 88.9% | 101.0 | FUN |
22 | Texas Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 121 | 91 | 95 | 10 | 40 | 975 | 956 | 1028 | 60 | 36 | 15 | 8 | 22 | 6 | 2 | 33.33% | 4 | 2 | 50.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 57.1% | 15.0% | 86.1% | 101.1 | FUN |
23 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 121 | 91 | 95 | 10 | 45 | 975 | 956 | 1028 | 60 | 29 | 9 | 8 | 28 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 33.3% | 4.4% | 82.8% | 87.2 | Unlucky |
24 | Comets | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 121 | 91 | 95 | 10 | 131 | 975 | 956 | 1028 | 60 | 121 | 28 | 28 | 69 | 6 | 1 | 16.67% | 13 | 3 | 76.92% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 52.9% | 7.6% | 90.9% | 98.5 | Unlucky |
25 | W-B/Scranton Penguins | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 121 | 91 | 95 | 10 | 82 | 975 | 956 | 1028 | 60 | 67 | 19 | 8 | 68 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 57.1% | 11.0% | 91.0% | 102.0 | FUN |
26 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 121 | 91 | 95 | 10 | 41 | 975 | 956 | 1028 | 60 | 52 | 14 | 15 | 19 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 100.0% | 7.3% | 96.2% | 103.5 | DULL |
27 | Crunch | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 19 | 4 | 8 | 0.667 | 23 | 45 | 68 | 1 | 0 | 121 | 91 | 95 | 10 | 214 | 975 | 956 | 1028 | 60 | 209 | 53 | 46 | 131 | 12 | 5 | 41.67% | 23 | 5 | 78.26% | 1 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 56.3% | 10.7% | 90.9% | 101.7 | FUN |
28 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 121 | 91 | 95 | 10 | 31 | 975 | 956 | 1028 | 60 | 35 | 4 | 14 | 21 | 1 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 25.0% | 3.2% | 88.6% | 91.8 | Unlucky |
29 | Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 121 | 91 | 95 | 10 | 28 | 975 | 956 | 1028 | 60 | 36 | 13 | 16 | 27 | 1 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 50.0% | 7.1% | 88.9% | 96.0 | Unlucky |
30 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 121 | 91 | 95 | 10 | 34 | 975 | 956 | 1028 | 60 | 48 | 10 | 8 | 20 | 7 | 2 | 28.57% | 4 | 1 | 75.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 57.1% | 17.6% | 91.7% | 109.3 | LUCKY |
31 | Firebirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 121 | 91 | 95 | 10 | 35 | 975 | 956 | 1028 | 60 | 35 | 5 | 10 | 17 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 100.0% | 14.3% | 97.1% | 111.4 | LUCKY |
_Vs Division | 42 | 19 | 19 | 0 | 0 | 2 | 2 | 0 | 159 | 149 | 10 | 44 | 0.524 | 159 | 287 | 446 | 1 | 1 | 121 | 91 | 95 | 10 | 1539 | 975 | 956 | 1028 | 60 | 1551 | 444 | 376 | 1023 | 119 | 31 | 26.05% | 181 | 41 | 77.35% | 4 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 54.2% | 10.3% | 90.4% | 100.7 | FUN | |
_Vs Conference | 63 | 28 | 26 | 0 | 3 | 3 | 3 | 0 | 249 | 230 | 19 | 71 | 0.563 | 249 | 443 | 692 | 1 | 1 | 121 | 91 | 95 | 10 | 2356 | 975 | 956 | 1028 | 60 | 2312 | 633 | 541 | 1619 | 205 | 54 | 26.34% | 259 | 56 | 78.38% | 5 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 52.8% | 10.6% | 90.1% | 100.6 | FUN | |
_Since Last GM Reset | 82 | 36 | 33 | 0 | 5 | 4 | 3 | 1 | 315 | 298 | 17 | 93 | 0.567 | 315 | 570 | 885 | 1 | 1 | 121 | 91 | 95 | 10 | 3000 | 975 | 956 | 1028 | 60 | 3035 | 843 | 738 | 2084 | 279 | 73 | 26.16% | 352 | 77 | 78.13% | 5 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 52.3% | 10.5% | 90.2% | 100.7 | FUN | |
Total | 82 | 36 | 33 | 0 | 5 | 4 | 3 | 1 | 315 | 298 | 17 | 93 | 0.567 | 315 | 570 | 885 | 1 | 1 | 121 | 91 | 95 | 10 | 3000 | 975 | 956 | 1028 | 60 | 3035 | 843 | 738 | 2084 | 279 | 73 | 26.16% | 352 | 77 | 78.13% | 5 | 1635 | 3084 | 53.02% | 1670 | 3200 | 52.19% | 718 | 1416 | 50.71% | 1925 | 1305 | 1967 | 620 | 1072 | 534 | 52.3% | 10.5% | 90.2% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3084 |
Neutral Zone Start | 1416 |
Defensive Zone Start | 3200 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 4023 |
Faceoffs Lost | 3677 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.9 | 9.57 |
2nd Period | 23.5 | 20.31 |
3rd Period | 36.1 | 30.68 |
Overtime | 36.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.9 | 2.83 |
Even Strenght Goal | 236 |
---|---|
PP Goal | 73 |
PK Goal | 5 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 22 | 22 |
Lost | 16 | 17 |
Overtime Lost | 3 | 2 |
PP Attempt | 279 |
---|---|
PP Goal | 73 |
PK Attempt | 352 |
PK Goal Against | 77 |
Home | |
---|---|
Shots For | 36.6 |
Shots Against | 37.0 |
Goals For | 3.8 |
Goals Against | 3.6 |
Hits | 25.4 |
Shots Blocked | 10.3 |
Pim | 9.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,849,241$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Toronto | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 59785 | 39383 | |||
Attendance PCT | 72.91% | 96.06% | 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 | 2419 - 80.62% | 97,512$ | 3,997,996$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,849,241$ | 2,663,517$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
483,822$ | 0$ | 483,822$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 15,318$ | 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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