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Toronto Marlies 15-4-2, 32pts · 1st in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jacob Peterson | 48 | C/LW | 100.00 | 67 | 32 | 88 | 65 | 72 | 82 | 68 | 66 | 60 | 70 | 62 | 62 | 64 | 67 | 65 | 0 | 27 | 75 | 25 | 1,250,000$/1yrs | |||
Matt Nieto | 0 | LW/RW | 97.00 | 62 | 32 | 93 | 57 | 72 | 77 | 81 | 60 | 60 | 61 | 63 | 70 | 61 | 78 | 78 | 0 | 57 | 73 | 32 | 1,200,000$/1yrs | |||
Dryden Hunt | 73 | LW | 98.00 | 85 | 41 | 91 | 57 | 75 | 74 | 74 | 61 | 59 | 62 | 61 | 60 | 61 | 73 | 72 | 0 | 47 | 72 | 29 | 850,000$/2yrs | |||
Vinnie Hinostroza | 0 | LW/RW | 97.00 | 56 | 32 | 91 | 60 | 69 | 75 | 71 | 62 | 59 | 67 | 59 | 58 | 60 | 76 | 75 | 0 | 57 | 72 | 30 | 900,000$/1yrs | |||
Michael Eyssimont | 0 | C/LW | 100.00 | 76 | 49 | 58 | 56 | 71 | 75 | 86 | 62 | 59 | 62 | 62 | 56 | 62 | 71 | 67 | 0 | 53 | 71 | 28 | 800,000$/2yrs | |||
Alex Steeves | 0 | C | 100.00 | 64 | 38 | 86 | 61 | 71 | 69 | 87 | 61 | 47 | 61 | 62 | 64 | 61 | 65 | 63 | 0 | 57 | 71 | 24 | 900,000$/2yrs | |||
Vinni Lettieri | 55 | C | 100.00 | 69 | 32 | 82 | 56 | 70 | 71 | 72 | 58 | 74 | 57 | 61 | 61 | 60 | 74 | 72 | 0 | 57 | 70 | 29 | 875,000$/2yrs | |||
Ruslan Iskhakov (R) | 0 | C | 100.00 | 66 | 38 | 80 | 60 | 61 | 67 | 89 | 61 | 65 | 61 | 58 | 64 | 59 | 63 | 61 | 0 | 27 | 70 | 24 | 900,000$/2yrs | |||
Jan Jenik | 0 | RW | 100.00 | 78 | 43 | 61 | 58 | 74 | 66 | 79 | 60 | 61 | 58 | 57 | 64 | 58 | 63 | 59 | 0 | 53 | 69 | 24 | 900,000$/2yrs | |||
Aku Raty (R) | 0 | RW | 100.00 | 63 | 38 | 86 | 59 | 73 | 66 | 74 | 60 | 45 | 61 | 57 | 63 | 59 | 61 | 60 | 0 | 57 | 69 | 23 | 896,250$/1yrs | |||
Calum Ritchie (R) | 0 | C | 100.00 | 61 | 39 | 86 | 62 | 75 | 67 | 83 | 58 | 65 | 61 | 59 | 63 | 60 | 56 | 54 | 0 | 53 | 69 | 19 | 950,000$/3yrs | |||
Gabriel Fortier (R) | 0 | C | 100.00 | 61 | 38 | 89 | 54 | 69 | 63 | 87 | 61 | 72 | 53 | 54 | 64 | 54 | 63 | 61 | 0 | 19 | 67 | 24 | 900,000$/1yrs | |||
Ryker Evans | 0 | D | 98.00 | 77 | 32 | 82 | 64 | 73 | 91 | 90 | 61 | 30 | 67 | 64 | 69 | 62 | 63 | 61 | 0 | 57 | 77 | 22 | 897,500$/1yrs | |||
Nick Perbix | 0 | D | 96.00 | 67 | 33 | 95 | 62 | 77 | 84 | 90 | 63 | 30 | 68 | 54 | 70 | 59 | 69 | 68 | 0 | 54 | 76 | 26 | 1,125,000$/1yrs | |||
Jake Christiansen (R) | 23 | D | 100.00 | 65 | 33 | 88 | 62 | 75 | 82 | 90 | 55 | 30 | 63 | 50 | 61 | 52 | 66 | 65 | 0 | 57 | 72 | 25 | 850,000$/2yrs | |||
Victor Soderstrom | 0 | D | 100.00 | 63 | 32 | 75 | 63 | 71 | 82 | 70 | 57 | 30 | 67 | 50 | 59 | 53 | 63 | 61 | 0 | 27 | 72 | 23 | 900,000$/1yrs | |||
Connor Mackey | 2 | D | 100.00 | 79 | 73 | 50 | 55 | 79 | 79 | 70 | 54 | 30 | 60 | 61 | 65 | 57 | 71 | 66 | 0 | 57 | 71 | 28 | 775,000$/2yrs | |||
Brayden Pachal | 0 | D | 98.00 | 85 | 47 | 68 | 55 | 81 | 79 | 90 | 50 | 30 | 53 | 50 | 72 | 50 | 67 | 63 | 0 | 57 | 69 | 25 | 900,000$/1yrs | |||
Drew Bavaro | 0 | D | 100.00 | 80 | 41 | 63 | 58 | 80 | 68 | 88 | 56 | 30 | 53 | 53 | 64 | 61 | 63 | 59 | 0 | 57 | 68 | 24 | 867,500$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Andrew Poturalski | 22 | C/RW | 98.00 | 64 | 38 | 84 | 59 | 69 | 71 | 82 | 66 | 70 | 66 | 58 | 69 | 62 | 74 | 72 | 0 | 59 | 73 | 30 | 800,000$/1yrs | |||
Lias Andersson | 0 | C | 100.00 | 67 | 39 | 80 | 62 | 71 | 70 | 86 | 63 | 66 | 59 | 66 | 65 | 63 | 66 | 64 | 0 | 24 | 72 | 26 | 1,000,000$/1yrs | |||
Adam Ruzicka | 0 | C | 100.00 | 60 | 34 | 91 | 62 | 87 | 73 | 78 | 61 | 75 | 65 | 61 | 54 | 61 | 67 | 66 | 0 | 20 | 72 | 25 | ||||
Aleksi Heponiemi | 0 | C/RW | 100.00 | 58 | 36 | 93 | 58 | 60 | 66 | 75 | 62 | 71 | 60 | 55 | 63 | 57 | 65 | 64 | 0 | 20 | 69 | 25 | ||||
Eetu Tuulola | 0 | RW | 100.00 | 69 | 41 | 76 | 62 | 88 | 63 | 60 | 60 | 65 | 54 | 55 | 64 | 62 | 65 | 62 | 0 | 20 | 69 | 26 | ||||
Lauri Pajuniemi | 0 | RW | 100.00 | 64 | 39 | 83 | 55 | 76 | 65 | 77 | 62 | 45 | 53 | 58 | 65 | 56 | 64 | 63 | 0 | 20 | 68 | 25 | 875,000$/2yrs | |||
Laurent Dauphin | 0 | LW/RW | 100.00 | 66 | 32 | 83 | 55 | 73 | 73 | 68 | 52 | 80 | 50 | 56 | 60 | 54 | 74 | 72 | 0 | 50 | 66 | 29 | 780,000$/2yrs | |||
Ivan Lodnia (R) | 91 | RW | 100.00 | 58 | 38 | 94 | 60 | 77 | 61 | 60 | 57 | 65 | 51 | 52 | 64 | 59 | 63 | 62 | 0 | 20 | 66 | 25 | 800,000$/2yrs | |||
Brandon Coe (R) | 0 | RW | 100.00 | 66 | 39 | 81 | 52 | 79 | 61 | 85 | 61 | 40 | 50 | 52 | 64 | 51 | 61 | 59 | 0 | 30 | 66 | 22 | 900,000$/3yrs | |||
Maxim Groshev (R) | 0 | LW | 100.00 | 62 | 39 | 87 | 54 | 76 | 62 | 77 | 60 | 35 | 54 | 52 | 64 | 53 | 61 | 59 | 0 | 20 | 66 | 22 | 867,500$/2yrs | |||
Caedan Bankier (R) | 0 | C | 100.00 | 64 | 39 | 85 | 55 | 77 | 62 | 74 | 58 | 66 | 51 | 56 | 62 | 53 | 57 | 56 | 0 | 20 | 66 | 21 | 775,000$/1yrs | |||
William Stromgren (R) | 0 | LW | 100.00 | 60 | 38 | 91 | 53 | 72 | 60 | 77 | 59 | 50 | 54 | 50 | 62 | 52 | 57 | 56 | 0 | 20 | 65 | 21 | 990,833$/2yrs | |||
Matthew Seminoff (R) | 0 | RW | 100.00 | 59 | 38 | 92 | 51 | 71 | 58 | 77 | 59 | 47 | 50 | 48 | 62 | 49 | 57 | 56 | 0 | 20 | 63 | 20 | 850,000$/2yrs | |||
Cal Foote | 0 | D | 100.00 | 70 | 48 | 51 | 55 | 91 | 81 | 73 | 55 | 30 | 59 | 55 | 63 | 55 | 67 | 62 | 0 | 20 | 70 | 25 | 950,000$/1yrs | |||
Philip Kemp | 0 | D | 100.00 | 70 | 40 | 74 | 47 | 82 | 61 | 88 | 46 | 30 | 52 | 48 | 66 | 50 | 64 | 62 | 0 | 20 | 65 | 25 | ||||
Michael Benning (R) | 0 | D | 100.00 | 69 | 39 | 76 | 47 | 66 | 61 | 78 | 47 | 30 | 52 | 51 | 63 | 51 | 59 | 57 | 0 | 20 | 64 | 22 | 916,667$/1yrs | |||
Albert Johansson (R) | 0 | D | 100.00 | 69 | 39 | 76 | 47 | 72 | 61 | 86 | 46 | 30 | 52 | 50 | 64 | 51 | 61 | 58 | 0 | 20 | 64 | 23 | 925,000$/2yrs | |||
Michael Vukojevic (R) | 0 | D | 100.00 | 66 | 40 | 80 | 43 | 86 | 59 | 80 | 43 | 30 | 48 | 48 | 64 | 48 | 61 | 59 | 0 | 20 | 62 | 23 | 875,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trent Miner | 0 | 100.00 | 78 | 70 | 74 | 74 | 82 | 78 | 78 | 78 | 78 | 78 | 78 | 62 | 62 | 0 | 59 | 79 | 23 | 900,000$/2yrs |
Cooper Black | 0 | 97.00 | 72 | 84 | 69 | 99 | 46 | 73 | 73 | 72 | 73 | 72 | 73 | 64 | 72 | 0 | 63 | 77 | 23 | 950,000$/2yrs |
Scratches | ||||||||||||||||||||
Cal Petersen | 0 | 100.00 | 72 | 65 | 67 | 76 | 62 | 61 | 66 | 67 | 66 | 68 | 66 | 74 | 77 | 0 | 32 | 72 | 30 | 850,000$/2yrs |
Olle Eriksson Ek | 0 | 100.00 | 65 | 60 | 65 | 78 | 58 | 62 | 65 | 66 | 62 | 66 | 65 | 66 | 69 | 0 | 30 | 69 | 25 | 850,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jacques Martin | 57 | 61 | 60 | 58 | 99 | 97 | 37 | CAN | 72 | 4 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrew Poturalski | Marlies (TOR) | C/RW | 19 | 12 | 12 | 24 | 6 | 2 | 0 | 20 | 70 | 23 | 55 | 17.14% | 1 | 20.98 | 4 | 3 | 7 | 52 | 0 | 0 | 0 | 14 | 3 | 0 | 54.97% | 473 | 0 | 0 | 0 | 2 | 1.20 | 0 | 0 | |
2 | Vinnie Hinostroza | Marlies (TOR) | LW/RW | 21 | 8 | 11 | 19 | 3 | 2 | 0 | 9 | 45 | 19 | 43 | 17.78% | 1 | 19.18 | 2 | 6 | 8 | 54 | 0 | 0 | 0 | 8 | 2 | 0 | 64.00% | 25 | 0 | 0 | 0 | 1 | 0.94 | 0 | 1 | |
3 | Dryden Hunt | Marlies (TOR) | LW | 21 | 6 | 12 | 18 | 5 | 10 | 0 | 41 | 63 | 20 | 40 | 9.52% | 2 | 17.67 | 1 | 3 | 4 | 55 | 0 | 0 | 0 | 12 | 1 | 0 | 73.68% | 38 | 0 | 0 | 0 | 0 | 0.97 | 0 | 2 | |
4 | Matt Nieto | Marlies (TOR) | LW/RW | 21 | 7 | 9 | 16 | 3 | 6 | 0 | 26 | 56 | 16 | 44 | 12.50% | 3 | 17.43 | 3 | 3 | 6 | 56 | 0 | 0 | 0 | 42 | 0 | 0 | 59.09% | 22 | 0 | 0 | 0 | 0 | 0.87 | 1 | 2 | |
5 | Connor Mackey | Marlies (TOR) | D | 21 | 2 | 14 | 16 | 10 | 28 | 0 | 39 | 30 | 5 | 15 | 6.67% | 17 | 17.93 | 0 | 4 | 4 | 61 | 0 | 1 | 1 | 43 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
6 | Ryker Evans | Marlies (TOR) | D | 21 | 2 | 11 | 13 | 6 | 22 | 0 | 51 | 24 | 13 | 26 | 8.33% | 28 | 22.74 | 1 | 3 | 4 | 56 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
7 | Vinni Lettieri | Marlies (TOR) | C | 21 | 4 | 8 | 12 | 6 | 0 | 0 | 19 | 31 | 8 | 28 | 12.90% | 2 | 16.96 | 1 | 2 | 3 | 38 | 0 | 0 | 0 | 41 | 0 | 0 | 61.09% | 442 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
8 | Alex Steeves | Marlies (TOR) | C | 21 | 6 | 5 | 11 | 2 | 6 | 0 | 20 | 36 | 14 | 36 | 16.67% | 3 | 14.23 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 45 | 0 | 0 | 45.60% | 386 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
9 | Nick Perbix | Marlies (TOR) | D | 21 | 0 | 11 | 11 | 7 | 2 | 0 | 16 | 27 | 5 | 15 | 0.00% | 30 | 22.62 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
10 | Brayden Pachal | Marlies (TOR) | D | 21 | 3 | 7 | 10 | 4 | 16 | 0 | 64 | 30 | 19 | 24 | 10.00% | 22 | 23.11 | 1 | 2 | 3 | 56 | 0 | 0 | 0 | 52 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
11 | Drew Bavaro | Marlies (TOR) | D | 21 | 0 | 9 | 9 | 10 | 10 | 0 | 31 | 12 | 7 | 7 | 0.00% | 14 | 15.95 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
12 | Aku Raty | Marlies (TOR) | RW | 21 | 1 | 7 | 8 | 1 | 2 | 0 | 20 | 38 | 12 | 18 | 2.63% | 3 | 13.85 | 0 | 1 | 1 | 37 | 0 | 0 | 0 | 1 | 1 | 0 | 20.00% | 15 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
13 | Michael Eyssimont | Marlies (TOR) | C/LW | 20 | 2 | 5 | 7 | 6 | 21 | 5 | 60 | 25 | 15 | 27 | 8.00% | 3 | 16.71 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 3 | 1 | 0 | 53.06% | 147 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
14 | Jake Christiansen | Marlies (TOR) | D | 21 | 1 | 5 | 6 | -3 | 2 | 0 | 4 | 15 | 8 | 11 | 6.67% | 19 | 18.30 | 1 | 0 | 1 | 39 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
15 | Laurent Dauphin | Marlies (TOR) | LW/RW | 16 | 2 | 2 | 4 | 3 | 4 | 0 | 12 | 17 | 4 | 18 | 11.76% | 1 | 11.39 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 9 | 0 | 1 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
16 | Jan Jenik | Marlies (TOR) | RW | 19 | 3 | 0 | 3 | 2 | 11 | 5 | 33 | 36 | 6 | 20 | 8.33% | 0 | 10.81 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
17 | Lias Andersson | Marlies (TOR) | C | 2 | 1 | 1 | 2 | 2 | 0 | 0 | 1 | 4 | 1 | 1 | 25.00% | 0 | 6.58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 3.04 | 0 | 0 | |
18 | Calum Ritchie | Marlies (TOR) | C | 17 | 1 | 1 | 2 | 1 | 0 | 0 | 3 | 16 | 3 | 12 | 6.25% | 1 | 6.64 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 7 | 0 | 0 | 49.63% | 135 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
19 | Jacob Peterson | Marlies (TOR) | C/LW | 5 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 9 | 4 | 8 | 11.11% | 0 | 8.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.00% | 20 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
20 | Brandon Coe | Marlies (TOR) | RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 33.33% | 0 | 4.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | |
21 | Ivan Lodnia | Marlies (TOR) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
22 | Gabriel Fortier | Marlies (TOR) | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
23 | Victor Soderstrom | Marlies (TOR) | D | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
24 | Ruslan Iskhakov | Marlies (TOR) | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
25 | William Stromgren | Marlies (TOR) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 7.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
26 | Maxim Groshev | Marlies (TOR) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 2 | 0.00% | 0 | 9.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
27 | Caedan Bankier | Marlies (TOR) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0.00% | 0 | 9.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 370 | 63 | 130 | 193 | 76 | 144 | 10 | 473 | 589 | 204 | 451 | 10.70% | 150 | 16.10 | 14 | 28 | 42 | 573 | 0 | 2 | 2 | 420 | 12 | 1 | 54.05% | 1739 | 0 | 0 | 0 | 3 | 0.65 | 1 | 5 |
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 | Trent Miner | Marlies (TOR) | 15 | 11 | 2 | 2 | 0.924 | 2.17 | 911 | 4 | 1 | 33 | 432 | 0 | 0 | 0 | 0.500 | 2 | 15 | 5 | 2 | 0 | 1 |
2 | Cooper Black | Marlies (TOR) | 6 | 4 | 2 | 0 | 0.930 | 2.14 | 365 | 0 | 1 | 13 | 187 | 0 | 0 | 0 | 1.000 | 3 | 6 | 15 | 1 | 1 | 0 |
Team Total or Average | 21 | 15 | 4 | 2 | 0.926 | 2.16 | 1276 | 4 | 2 | 46 | 619 | 0 | 0 | 0 | 0.800 | 5 | 21 | 20 | 3 | 1 | 1 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka | C | 25 | 0$ | RFA | |||||||
Aku Raty | RW | 23 | 896,250$ | 896,250$ | RFA | ||||||
Albert Johansson | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Aleksi Heponiemi | C/RW | 25 | 0$ | RFA | |||||||
Alex Steeves | C | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Andrew Poturalski | C/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Brandon Coe | RW | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Brayden Pachal | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Caedan Bankier | C | 21 | 775,000$ | 775,000$ | RFA | ||||||
Cal Foote | D | 25 | 950,000$ | 950,000$ | RFA | ||||||
Cal Petersen | G | 30 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Calum Ritchie | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Connor Mackey | D | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Cooper Black | G | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Drew Bavaro | D | 24 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Dryden Hunt | LW | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Eetu Tuulola | RW | 26 | 0$ | RFA | |||||||
Gabriel Fortier | C | 24 | 900,000$ | 900,000$ | RFA | ||||||
Ivan Lodnia | RW | 25 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Jacob Peterson | C/LW | 25 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Jake Christiansen | D | 25 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Jan Jenik | RW | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Laurent Dauphin | LW/RW | 29 | 780,000$ | 780,000$ | 780,000$ | UFA | |||||
Lauri Pajuniemi | RW | 25 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Lias Andersson | C | 26 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Matt Nieto | LW/RW | 32 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Matthew Seminoff | RW | 20 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Maxim Groshev | LW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Michael Benning | D | 22 | 916,667$ | 916,667$ | RFA | ||||||
Michael Eyssimont | C/LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Michael Vukojevic | D | 23 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Nick Perbix | D | 26 | 1,125,000$ | 1,125,000$ | RFA | ||||||
Olle Eriksson Ek | G | 25 | 850,000$ | 850,000$ | RFA | ||||||
Philip Kemp | D | 25 | 0$ | RFA | |||||||
Ruslan Iskhakov | C | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Ryker Evans | D | 22 | 897,500$ | 897,500$ | RFA | ||||||
Trent Miner | G | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Victor Soderstrom | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Vinni Lettieri | C | 29 | 875,000$ | 875,000$ | 875,000$ | UFA | |||||
Vinnie Hinostroza | LW/RW | 30 | 900,000$ | 900,000$ | UFA | ||||||
William Stromgren | LW | 21 | 990,833$ | 990,833$ | 990,833$ | RFA |
Forward Lines | |||||||
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Priority | Type | Description |
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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 | Wranglers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 20 | 27 | 22 | 2 | 33 | 194 | 222 | 211 | 14 | 28 | 11 | 15 | 25 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 50.0% | 15.2% | 85.7% | 100.9 | FUN |
2 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 20 | 27 | 22 | 2 | 26 | 194 | 222 | 211 | 14 | 22 | 6 | 12 | 21 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 100.0% | 7.7% | 95.5% | 103.1 | DULL |
3 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 20 | 27 | 22 | 2 | 64 | 194 | 222 | 211 | 14 | 45 | 16 | 10 | 42 | 11 | 4 | 36.36% | 5 | 0 | 100.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 50.0% | 10.9% | 93.3% | 104.3 | LUCKY |
4 | Senators | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 20 | 27 | 22 | 2 | 57 | 194 | 222 | 211 | 14 | 55 | 11 | 4 | 46 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 60.0% | 12.3% | 92.7% | 105.0 | LUCKY |
5 | Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 27 | 22 | 2 | 27 | 194 | 222 | 211 | 14 | 46 | 8 | 17 | 24 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 33.3% | 7.4% | 89.1% | 96.5 | Unlucky |
6 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 20 | 27 | 22 | 2 | 30 | 194 | 222 | 211 | 14 | 27 | 7 | 4 | 19 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 20.0% | 3.3% | 85.2% | 88.5 | Unlucky |
7 | Rocket | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 4 | 11 | 6 | 1.000 | 15 | 30 | 45 | 0 | 1 | 20 | 27 | 22 | 2 | 88 | 194 | 222 | 211 | 14 | 89 | 23 | 22 | 58 | 12 | 2 | 16.67% | 10 | 0 | 100.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 76.5% | 17.0% | 95.5% | 112.6 | LUCKY |
8 | Admirals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 20 | 27 | 22 | 2 | 68 | 194 | 222 | 211 | 14 | 58 | 13 | 10 | 68 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 72.7% | 13.2% | 94.8% | 108.1 | LUCKY |
9 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 20 | 27 | 22 | 2 | 30 | 194 | 222 | 211 | 14 | 22 | 8 | 4 | 18 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 66.7% | 6.7% | 95.5% | 102.1 | DULL |
10 | Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 20 | 27 | 22 | 2 | 22 | 194 | 222 | 211 | 14 | 33 | 4 | 8 | 28 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 33.3% | 4.5% | 90.9% | 95.5 | Unlucky |
11 | Americans | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 1 | 20 | 27 | 22 | 2 | 72 | 194 | 222 | 211 | 14 | 57 | 14 | 18 | 40 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 66.7% | 11.1% | 93.0% | 104.1 | LUCKY |
12 | Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 20 | 27 | 22 | 2 | 37 | 194 | 222 | 211 | 14 | 23 | 7 | 4 | 28 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 100.0% | 13.5% | 95.7% | 109.2 | LUCKY |
13 | Monsters | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 20 | 27 | 22 | 2 | 31 | 194 | 222 | 211 | 14 | 44 | 9 | 10 | 15 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 40.0% | 6.5% | 93.2% | 99.6 | DULL |
14 | Firebirds | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 20 | 27 | 22 | 2 | 51 | 194 | 222 | 211 | 14 | 70 | 20 | 18 | 53 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 45.5% | 9.8% | 90.0% | 99.8 | FUN |
_Vs Division | 4 | 9 | 1 | 0 | 0 | 0 | 1 | 1 | 11 | 7 | 4 | 21 | 2.625 | 11 | 21 | 32 | 0 | 0 | 20 | 27 | 22 | 2 | 121 | 194 | 222 | 211 | 14 | 111 | 31 | 32 | 78 | 19 | 5 | 26.32% | 15 | 1 | 93.33% | 0 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 50.0% | 9.1% | 93.7% | 102.8 | LUCKY | |
_Vs Conference | 14 | 11 | 1 | 0 | 0 | 0 | 1 | 1 | 49 | 25 | 24 | 25 | 0.893 | 49 | 93 | 142 | 0 | 2 | 20 | 27 | 22 | 2 | 435 | 194 | 222 | 211 | 14 | 384 | 101 | 88 | 287 | 49 | 11 | 22.45% | 40 | 3 | 92.50% | 1 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 63.3% | 11.3% | 93.5% | 104.8 | LUCKY | |
_Since Last GM Reset | 21 | 13 | 4 | 0 | 1 | 1 | 1 | 1 | 71 | 47 | 24 | 32 | 0.762 | 71 | 135 | 206 | 0 | 2 | 20 | 27 | 22 | 2 | 636 | 194 | 222 | 211 | 14 | 619 | 157 | 156 | 485 | 68 | 14 | 20.59% | 64 | 7 | 89.06% | 1 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 58.8% | 11.2% | 92.4% | 103.6 | LUCKY | |
Total | 21 | 13 | 4 | 0 | 1 | 1 | 1 | 1 | 71 | 47 | 24 | 32 | 0.762 | 71 | 135 | 206 | 0 | 2 | 20 | 27 | 22 | 2 | 636 | 194 | 222 | 211 | 14 | 619 | 157 | 156 | 485 | 68 | 14 | 20.59% | 64 | 7 | 89.06% | 1 | 391 | 715 | 54.69% | 394 | 723 | 54.50% | 172 | 302 | 56.95% | 518 | 354 | 474 | 161 | 283 | 144 | 58.8% | 11.2% | 92.4% | 103.6 | LUCKY |
Puck Time | |
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Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 715 |
Neutral Zone Start | 302 |
Defensive Zone Start | 723 |
Puck Time | |
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With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 957 |
Faceoffs Lost | 783 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 29.9 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 56 |
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PP Goal | 14 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 8 | 7 |
Lost | 2 | 2 |
Overtime Lost | 0 | 2 |
PP Attempt | 68 |
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PP Goal | 14 |
PK Attempt | 64 |
PK Goal Against | 7 |
Home | |
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Shots For | 30.3 |
Shots Against | 29.5 |
Goals For | 3.4 |
Goals Against | 2.2 |
Hits | 23.1 |
Shots Blocked | 7.5 |
Pim | 7.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | Firebirds | @ | Marlies | Firebirds3,Marlies2 | RECAP | |||||||||
2024-10-10 | Marlies | @ | Rocket | Marlies6,Rocket3 | RECAP | |||||||||
2024-10-12 | Marlies | @ | Rocket | Marlies6,Rocket1 | RECAP | |||||||||
2024-10-14 | Crunch | @ | Marlies | Crunch1,Marlies2 | RECAP | |||||||||
2024-10-16 | Marlies | @ | Firebirds | Marlies3,Firebirds4 (OT) | RECAP | |||||||||
2024-10-18 | Admirals | @ | Marlies | Admirals2,Marlies5 | RECAP | |||||||||
2024-10-21 | Rocket | @ | Marlies | Rocket0,Marlies3 | RECAP | |||||||||
2024-10-24 | Marlies | @ | Griffins | Marlies1,Griffins4 | RECAP | |||||||||
2024-10-27 | Marlies | @ | Senators | Marlies4,Senators2 | RECAP | |||||||||
2024-10-29 | Americans | @ | Marlies | Americans4,Marlies6 | RECAP | |||||||||
2024-10-31 | Comets | @ | Marlies | Comets2,Marlies5 | RECAP | |||||||||
2024-11-02 | Marlies | @ | Americans | Marlies2,Americans0 | RECAP | |||||||||
2024-11-03 | Marlies | @ | Monsters | Marlies2,Monsters3 (SO) | RECAP | |||||||||
2024-11-04 | Marlies | @ | Comets | Marlies2,Comets1 | RECAP | |||||||||
2024-11-07 | Senators | @ | Marlies | Senators2,Marlies3 (SO) | RECAP | |||||||||
2024-11-11 | Checkers | @ | Marlies | Checkers1,Marlies5 | RECAP | |||||||||
2024-11-13 | Marlies | @ | Admirals | Marlies4,Admirals1 | RECAP | |||||||||
2024-11-14 | Marlies | @ | Wranglers | Marlies5,Wranglers4 (OT) | RECAP | |||||||||
2024-11-15 | Phantoms | @ | Marlies | Phantoms1,Marlies2 | RECAP | |||||||||
2024-11-17 | Marlies | @ | Condors | Marlies1,Condors3 | RECAP | |||||||||
2024-11-19 | Eagles | @ | Marlies | Eagles5,Marlies2 | RECAP | |||||||||
2024-11-22 | Marlies | @ | Wild | |||||||||||
2024-11-24 | Monsters | @ | Marlies | |||||||||||
2024-11-26 | Marlies | @ | Moose | |||||||||||
2024-11-27 | Wranglers | @ | Marlies | |||||||||||
2024-11-30 | Marlies | @ | Canucks | |||||||||||
2024-12-04 | Islanders | @ | Marlies | |||||||||||
2024-12-05 | Marlies | @ | Rocket | |||||||||||
2024-12-10 | Bruins | @ | Marlies | |||||||||||
2024-12-13 | Marlies | @ | Firebirds | |||||||||||
2024-12-14 | Rocket | @ | Marlies | |||||||||||
2024-12-21 | Penguins | @ | Marlies | |||||||||||
2024-12-26 | Marlies | @ | Rocket | |||||||||||
2024-12-27 | Comets | @ | Marlies | |||||||||||
2024-12-29 | Senators | @ | Marlies | |||||||||||
2025-01-02 | Marlies | @ | Penguins | |||||||||||
2025-01-04 | Griffins | @ | Marlies | |||||||||||
2025-01-06 | Marlies | @ | Monsters | |||||||||||
2025-01-08 | Thunderbirds | @ | Marlies | |||||||||||
2025-01-09 | Marlies | @ | Phantoms | |||||||||||
2025-01-13 | Marlies | @ | Comets | |||||||||||
2025-01-14 | Reign | @ | Marlies | |||||||||||
2025-01-17 | Marlies | @ | Stars | |||||||||||
2025-01-20 | Americans | @ | Marlies | |||||||||||
2025-01-23 | Marlies | @ | Islanders | |||||||||||
2025-01-24 | Barracuda | @ | Marlies | |||||||||||
2025-01-26 | Marlies | @ | Griffins | |||||||||||
2025-01-29 | Griffins | @ | Marlies | |||||||||||
2025-01-31 | Marlies | @ | Checkers | |||||||||||
2025-02-01 | Bruins | @ | Marlies | |||||||||||
2025-02-05 | Marlies | @ | Bruins | |||||||||||
2025-02-06 | Crunch | @ | Marlies | |||||||||||
2025-02-09 | Marlies | @ | Wolves | |||||||||||
2025-02-11 | Marlies | @ | Roadrunners | |||||||||||
2025-02-12 | Admirals | @ | Marlies | |||||||||||
2025-02-16 | Marlies | @ | Senators | |||||||||||
2025-02-17 | Marlies | @ | Thunderbirds | |||||||||||
2025-02-18 | Monsters | @ | Marlies | |||||||||||
2025-02-22 | Marlies | @ | Wolf Pack | |||||||||||
2025-02-25 | Wolf Pack | @ | Marlies | |||||||||||
2025-02-27 | IceHogs | @ | Marlies | |||||||||||
2025-02-28 | Marlies | @ | Americans | |||||||||||
2025-03-03 | Firebirds | @ | Marlies | |||||||||||
2025-03-05 | Marlies | @ | Crunch | |||||||||||
2025-03-07 | Marlies | @ | Bears | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | Marlies | @ | Gulls | |||||||||||
2025-03-11 | Bears | @ | Marlies | |||||||||||
2025-03-14 | Marlies | @ | Crunch | |||||||||||
2025-03-16 | Condors | @ | Marlies | |||||||||||
2025-03-21 | Firebirds | @ | Marlies | |||||||||||
2025-03-27 | Crunch | @ | Marlies | |||||||||||
2025-03-30 | Silver Knights | @ | Marlies |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,896,625$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Toronto | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,896,625$ | 2,896,625$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
874,475$ | 15,916$ | 748,105$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 150 | 18,663$ | 2,538,168$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,538,168$ | 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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