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$/2yrs | |||
Parker Kelly | 75 | C/LW | 100.00 | 83 | 41 | 69 | 66 | 72 | 79 | 88 | 64 | 59 | 62 | 68 | 71 | 64 | 63 | 65 | 0 | 50 | 71 | 24 | 826,667$/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$/3yrs | |||
Trey Fix-Wolansky | 46 | RW | 100.00 | 62 | 38 | 80 | 64 | 63 | 86 | 82 | 63 | 64 | 61 | 62 | 60 | 63 | 64 | 65 | 0 | 50 | 67 | 24 | 837,500$/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 | 24 | 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 | |||
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$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Jonatan Berggren | 52 | C/LW/RW | 100.00 | 62 | 37 | 84 | 69 | 71 | 89 | 85 | 68 | 73 | 67 | 62 | 56 | 69 | 62 | 64 | 0 | 50 | 69 | 22 | 925,000$/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 | 23 | 802,500$/2yrs | |||
Curtis Hall | 20 | C | 100.00 | 64 | 38 | 91 | 52 | 83 | 72 | 74 | 53 | 58 | 54 | 55 | 51 | 53 | 62 | 64 | 0 | 50 | 62 | 23 | 925,000$/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 | 23 | 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 | |||
Vladislav Kolyachonok | 92 | D | 100.00 | 67 | 37 | 90 | 61 | 76 | 82 | 81 | 59 | 30 | 60 | 57 | 58 | 52 | 61 | 63 | 0 | 50 | 66 | 22 | 905,000$/3yrs | |||
Nick Cicek | 59 | D | 100.00 | 75 | 43 | 68 | 58 | 84 | 68 | 81 | 57 | 30 | 62 | 54 | 59 | 47 | 62 | 64 | 0 | 50 | 66 | 23 | 840,000$/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 | 24 | 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 | Philipp Kurashev | Marlies (TOR) | C/LW/RW | 6 | 3 | 8 | 11 | 0 | 2 | 0 | 3 | 27 | 7 | 24 | 11.11% | 2 | 22.29 | 1 | 3 | 4 | 0 | 0 | 0 | 23 | 1 | 0 | 50.00% | 0 | 0 | 1.83 | 0 | 0 | 1.63 | |||
2 | Oskar Steen | Marlies (TOR) | C/RW | 6 | 4 | 5 | 9 | 0 | 2 | 0 | 6 | 18 | 5 | 13 | 22.22% | 3 | 22.31 | 0 | 2 | 2 | 0 | 0 | 0 | 23 | 0 | 0 | 48.84% | 0 | 0 | 1.50 | 0 | 0 | 1.29 | |||
3 | Jordan Spence | Marlies (TOR) | D | 6 | 2 | 5 | 7 | 0 | 2 | 0 | 5 | 12 | 2 | 10 | 16.67% | 12 | 24.78 | 2 | 0 | 2 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 1.17 | 0 | 0 | 1.00 | |||
4 | Parker Kelly | Marlies (TOR) | C/LW | 6 | 3 | 3 | 6 | 0 | 2 | 0 | 22 | 24 | 5 | 15 | 12.50% | 1 | 22.37 | 0 | 1 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 38.31% | 0 | 0 | 1.00 | 0 | 0 | 0.97 | |||
5 | Reilly Walsh | Marlies (TOR) | D | 6 | 1 | 4 | 5 | -1 | 8 | 0 | 5 | 14 | 0 | 4 | 7.14% | 9 | 22.11 | 1 | 1 | 2 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0.83 | 0 | 0 | 0.52 | |||
6 | Ty Dellandrea | Marlies (TOR) | C/RW | 6 | 1 | 4 | 5 | 1 | 0 | 0 | 5 | 11 | 7 | 14 | 9.09% | 1 | 17.04 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 49.52% | 0 | 0 | 0.83 | 0 | 0 | 0.81 | |||
7 | Gemel Smith | Marlies (TOR) | C/LW/RW | 6 | 2 | 2 | 4 | -1 | 0 | 0 | 8 | 16 | 4 | 9 | 12.50% | 0 | 15.94 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 59.42% | 0 | 0 | 0.67 | 0 | 0 | 0.65 | |||
8 | Ryan Merkley | Marlies (TOR) | D | 6 | 2 | 2 | 4 | -1 | 8 | 0 | 8 | 6 | 4 | 8 | 33.33% | 8 | 23.24 | 1 | 0 | 1 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.36 | |||
9 | Eduards Tralmaks | Marlies (TOR) | C/LW/RW | 6 | 1 | 3 | 4 | 1 | 0 | 0 | 2 | 7 | 1 | 5 | 14.29% | 0 | 10.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.67 | 0 | 0 | 0.61 | |||
10 | Darren Raddysh | Marlies (TOR) | D | 6 | 2 | 1 | 3 | -2 | 6 | 0 | 11 | 6 | 0 | 5 | 33.33% | 11 | 14.86 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.28 | |||
11 | Michael Pezzetta | Marlies (TOR) | C/LW | 6 | 1 | 1 | 2 | 1 | 0 | 0 | 9 | 14 | 1 | 14 | 7.14% | 1 | 11.22 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 71.43% | 0 | 0 | 0.33 | 0 | 0 | 0.56 | |||
12 | Trey Fix-Wolansky | Marlies (TOR) | RW | 6 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 7 | 2 | 2 | 0.00% | 0 | 6.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.33 | 0 | 0 | 0.35 | |||
13 | Gabriel Bourque | Marlies (TOR) | LW | 6 | 1 | 0 | 1 | -5 | 0 | 0 | 0 | 8 | 2 | 4 | 12.50% | 0 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.17 | 0 | 0 | -0.07 | |||
14 | Curtis Douglas | Marlies (TOR) | C | 6 | 0 | 1 | 1 | -5 | 6 | 0 | 16 | 11 | 5 | 9 | 0.00% | 1 | 14.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.37% | 0 | 0 | 0.17 | 0 | 0 | -0.13 | |||
15 | Nick Cicek | Marlies (TOR) | D | 3 | 0 | 1 | 1 | 1 | 2 | 0 | 9 | 3 | 1 | 1 | 0.00% | 4 | 13.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.43 | |||
16 | Akil Thomas | Marlies (TOR) | C/RW | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 6 | 1 | 4 | 0.00% | 0 | 15.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | -0.17 | |||
17 | Givani Smith | Marlies (TOR) | LW/RW | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 2 | 2 | 0 | 0.00% | 0 | 9.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | |||
18 | Alexander Peters | Marlies (TOR) | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.70 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.16 | |||
19 | Nikita Okhotiuk | Marlies (TOR) | D | 6 | 0 | 0 | 0 | -1 | 18 | 0 | 20 | 9 | 2 | 4 | 0.00% | 14 | 24.10 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.26 | |||
20 | Vladislav Kolyachonok | Marlies (TOR) | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 1 | 1 | 0 | 0.00% | 5 | 9.22 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
Team Total or Average | 108 | 23 | 42 | 65 | -15 | 58 | 0 | 141 | 202 | 52 | 145 | 11.39% | 72 | 16.49 | 5 | 8 | 13 | 163 | 0 | 0 | 0 | 194 | 2 | 0 | 47.42% | 561 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 |
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) | 6 | 2 | 4 | 0 | 0.890 | 4.27 | 365 | 0 | 0 | 26 | 236 | 0 | 1 | 0 | 0.000 | 0 | 6 | 0 | 0 | 0 | 0 |
Team Total or Average | 6 | 2 | 4 | 0 | 0.890 | 4.27 | 365 | 0 | 0 | 26 | 236 | 0 | 1 | 0 | 0.000 | 0 | 6 | 0 | 0 | 0 | 0 |
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 | 24 | 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 | 23 | 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 | 23 | 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 | 23 | 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 | 24 | 826,667$ | 955,000$ | 762,500$ | 762,500$ | UFA | ||||
Philipp Kurashev | C/LW/RW | 23 | 837,500$ | 925,000$ | 750,000$ | RFA | |||||
Reilly Walsh | D | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Ryan Chyzowski | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Ryan Merkley | D | 22 | 1,163,333$ | 1,163,333$ | 1,163,333$ | RFA | |||||
Trey Fix-Wolansky | RW | 24 | 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 | 22 | 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 |
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1 | Providence Bruins | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 26 | -3 | 4 | 0.333 | 23 | 42 | 65 | 0 | 0 | 12 | 6 | 4 | 1 | 202 | 77 | 58 | 60 | 7 | 236 | 72 | 58 | 141 | 23 | 5 | 21.74% | 28 | 5 | 82.14% | 0 | 103 | 219 | 47.03% | 114 | 235 | 48.51% | 49 | 107 | 45.79% | 130 | 86 | 156 | 46 | 79 | 38 | 46.2% | 11.4% | 89.0% | 100.4 | FUN |
_Vs Division | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 26 | -3 | 4 | 0.333 | 23 | 42 | 65 | 0 | 0 | 12 | 6 | 4 | 1 | 202 | 77 | 58 | 60 | 7 | 236 | 72 | 58 | 141 | 23 | 5 | 21.74% | 28 | 5 | 82.14% | 0 | 103 | 219 | 47.03% | 114 | 235 | 48.51% | 49 | 107 | 45.79% | 130 | 86 | 156 | 46 | 79 | 38 | 46.2% | 11.4% | 89.0% | 100.4 | FUN | |
_Vs Conference | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 26 | -3 | 4 | 0.333 | 23 | 42 | 65 | 0 | 0 | 12 | 6 | 4 | 1 | 202 | 77 | 58 | 60 | 7 | 236 | 72 | 58 | 141 | 23 | 5 | 21.74% | 28 | 5 | 82.14% | 0 | 103 | 219 | 47.03% | 114 | 235 | 48.51% | 49 | 107 | 45.79% | 130 | 86 | 156 | 46 | 79 | 38 | 46.2% | 11.4% | 89.0% | 100.4 | FUN | |
_Since Last GM Reset | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 26 | -3 | 4 | 0.333 | 23 | 42 | 65 | 0 | 0 | 12 | 6 | 4 | 1 | 202 | 77 | 58 | 60 | 7 | 236 | 72 | 58 | 141 | 23 | 5 | 21.74% | 28 | 5 | 82.14% | 0 | 103 | 219 | 47.03% | 114 | 235 | 48.51% | 49 | 107 | 45.79% | 130 | 86 | 156 | 46 | 79 | 38 | 46.2% | 11.4% | 89.0% | 100.4 | FUN | |
Total | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 26 | -3 | 4 | 0.333 | 23 | 42 | 65 | 0 | 0 | 12 | 6 | 4 | 1 | 202 | 77 | 58 | 60 | 7 | 236 | 72 | 58 | 141 | 23 | 5 | 21.74% | 28 | 5 | 82.14% | 0 | 103 | 219 | 47.03% | 114 | 235 | 48.51% | 49 | 107 | 45.79% | 130 | 86 | 156 | 46 | 79 | 38 | 46.2% | 11.4% | 89.0% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 13 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 219 |
Neutral Zone Start | 107 |
Defensive Zone Start | 235 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 266 |
Faceoffs Lost | 295 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 3.0 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 18 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 2 |
Lost | 3 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 23 |
---|---|
PP Goal | 5 |
PK Attempt | 28 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 33.7 |
Shots Against | 39.3 |
Goals For | 3.8 |
Goals Against | 4.3 |
Hits | 23.5 |
Shots Blocked | 12.0 |
Pim | 9.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Apr 19 | MAR | @ | PRO | MAR3,PRO6 | RECAP | |||||||||
Fri, Apr 21 | MAR | @ | PRO | MAR3,PRO2 (OT) | RECAP | |||||||||
Sun, Apr 23 | PRO | @ | MAR | PRO6,MAR3 | RECAP | |||||||||
Tue, Apr 25 | PRO | @ | MAR | PRO5,MAR4 | RECAP | |||||||||
Thu, Apr 27 | MAR | @ | PRO | MAR6,PRO2 | RECAP | |||||||||
Sat, Apr 29 | PRO | @ | MAR | PRO5,MAR4 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,941,741$ | 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 | 4748 | 3000 | |||
Attendance PCT | 79.13% | 100.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 2583 - 86.09% | 104,886$ | 314,659$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,941,741$ | 2,756,017$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 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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