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Full Scoreboard »» |
Toronto Marlies 8-10-2, 18pts · 12th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 38 | RW | 100.00 | 70 | 40 | 81 | 65 | 83 | 74 | 88 | 65 | 49 | 67 | 69 | 67 | 68 | 72 | 74 | 0 | 38 | 77 | 28 | 900,000$/2yrs | |||
![]() | 62 | LW/RW | 98.00 | 75 | 39 | 76 | 62 | 78 | 74 | 78 | 63 | 46 | 67 | 64 | 69 | 65 | 74 | 76 | 0 | 37 | 76 | 29 | 1,250,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 33 | 83 | 65 | 84 | 73 | 86 | 64 | 60 | 67 | 67 | 64 | 65 | 70 | 68 | 0 | 38 | 76 | 27 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 70 | 39 | 82 | 67 | 76 | 73 | 85 | 65 | 38 | 69 | 67 | 63 | 68 | 65 | 67 | 0 | 39 | 76 | 23 | 834,167$/1yrs | |||
![]() | 48 | C/LW | 100.00 | 64 | 35 | 88 | 67 | 72 | 74 | 76 | 66 | 66 | 67 | 69 | 62 | 68 | 65 | 65 | 0 | 38 | 76 | 24 | 1,250,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 55 | 39 | 99 | 69 | 66 | 71 | 70 | 69 | 44 | 72 | 64 | 59 | 68 | 58 | 58 | 0 | 42 | 76 | 20 | 830,833$/3yrs | |||
![]() | 0 | C | 100.00 | 61 | 36 | 89 | 62 | 80 | 71 | 74 | 61 | 74 | 62 | 62 | 65 | 62 | 68 | 68 | 0 | 39 | 73 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 37 | 95 | 63 | 69 | 64 | 70 | 63 | 65 | 67 | 61 | 65 | 64 | 67 | 66 | 0 | 39 | 73 | 26 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 69 | 38 | 84 | 63 | 69 | 71 | 87 | 61 | 39 | 64 | 63 | 64 | 64 | 63 | 64 | 0 | 39 | 73 | 23 | 900,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 83 | 40 | 66 | 63 | 68 | 70 | 87 | 61 | 54 | 64 | 63 | 63 | 63 | 63 | 66 | 0 | 39 | 73 | 23 | 850,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 70 | 39 | 76 | 67 | 73 | 70 | 88 | 63 | 36 | 67 | 64 | 61 | 66 | 56 | 54 | 0 | 42 | 73 | 19 | 850,000$/3yrs | |||
![]() | 0 | C | 100.00 | 81 | 40 | 69 | 61 | 77 | 67 | 75 | 59 | 67 | 62 | 59 | 60 | 61 | 63 | 66 | 0 | 40 | 71 | 23 | 775,000$/1yrs | |||
![]() | 73 | D | 100.00 | 71 | 41 | 71 | 59 | 89 | 78 | 76 | 65 | 30 | 67 | 50 | 82 | 57 | 70 | 68 | 0 | 23 | 79 | 27 | 775,000$/1yrs | |||
![]() | 2 | D | 100.00 | 79 | 63 | 50 | 63 | 79 | 79 | 70 | 61 | 30 | 68 | 66 | 72 | 64 | 70 | 65 | 0 | 32 | 78 | 27 | 950,000$/1yrs | |||
![]() | 23 | D | 100.00 | 74 | 38 | 78 | 64 | 72 | 74 | 81 | 61 | 30 | 69 | 63 | 65 | 65 | 65 | 67 | 0 | 33 | 76 | 24 | 850,000$/3yrs | |||
![]() | 0 | D | 100.00 | 95 | 47 | 52 | 61 | 81 | 71 | 81 | 59 | 30 | 65 | 57 | 67 | 61 | 63 | 66 | 0 | 39 | 76 | 23 | 950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 44 | 70 | 61 | 91 | 79 | 82 | 61 | 30 | 65 | 60 | 68 | 60 | 66 | 63 | 0 | 39 | 75 | 24 | 950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 42 | 66 | 62 | 79 | 71 | 82 | 59 | 30 | 66 | 61 | 65 | 63 | 61 | 64 | 0 | 39 | 75 | 22 | 859,167$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 39 | 77 | 63 | 68 | 71 | 90 | 60 | 30 | 66 | 59 | 68 | 63 | 60 | 57 | 0 | 39 | 75 | 22 | 925,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 41 | LW | 69.36 | 68 | 38 | 84 | 64 | 68 | 73 | 75 | 66 | 39 | 70 | 62 | 68 | 66 | 68 | 70 | 0 | 29 | 76 | 26 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 39 | 88 | 61 | 79 | 66 | 75 | 59 | 43 | 62 | 59 | 59 | 61 | 61 | 62 | 0 | 22 | 70 | 22 | 850,833$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 22 | 10 | 25 | 775,000$/1yrs | |||
![]() | 45 | LW/RW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 20 | 10 | 25 | 775,000$/1yrs | |||
![]() | 13 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 22 | 10 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 40 | 82 | 58 | 83 | 68 | 85 | 57 | 30 | 61 | 57 | 67 | 59 | 63 | 65 | 0 | 19 | 73 | 23 | 850,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 39 | 75 | 59 | 72 | 67 | 74 | 56 | 30 | 62 | 59 | 63 | 61 | 61 | 64 | 0 | 24 | 72 | 22 | 775,000$/1yrs | |||
![]() | 25 | D | 100.00 | 64 | 37 | 86 | 53 | 73 | 64 | 60 | 52 | 30 | 53 | 54 | 52 | 45 | 64 | 66 | 0 | 20 | 65 | 25 | 775,000$/1yrs | |||
![]() | 71 | D | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 20 | 10 | 25 | 775,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 76 | 64 | 73 | 81 | 73 | 78 | 76 | 76 | 78 | 78 | 77 | 62 | 66 | 0 | 44 | 79 | 22 | 836,667$/2yrs |
![]() | 50 | 99.00 | 60 | 63 | 67 | 82 | 65 | 74 | 70 | 80 | 81 | 78 | 70 | 65 | 68 | 0 | 34 | 76 | 24 | 950,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 65 | 59 | 65 | 77 | 63 | 70 | 66 | 65 | 71 | 70 | 67 | 65 | 69 | 0 | 35 | 72 | 24 | 850,000$/2yrs |
![]() | 0 | 100.00 | 69 | 67 | 66 | 74 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 61 | 65 | 0 | 30 | 72 | 22 | 828,333$/1yrs |
![]() | 82 | 100.00 | 62 | 73 | 75 | 74 | 61 | 60 | 62 | 61 | 60 | 62 | 61 | 67 | 71 | 0 | 30 | 70 | 26 | 775,000$/1yrs |
![]() | 0 | 100.00 | 60 | 65 | 63 | 77 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 63 | 67 | 0 | 30 | 67 | 24 | 900,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Steve Ott | 65 | 70 | 73 | 68 | 59 | 55 | 86 | CAN | 41 | 5 | 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 | Alex Steeves | C | 20 | 4 | 12 | 16 | 2 | 2 | 0 | 31 | 55 | 12 | 33 | 7.27% | 4 | 21.38 | 1 | 3 | 4 | 68 | 0 | 0 | 0 | 76 | 0 | 0 | 36.42% | 604 | 0 | 0 | 0 | 0 | 0.75 | 0 | 1 | ||
2 | Jacob Peterson | C/LW | 20 | 7 | 5 | 12 | 3 | 0 | 0 | 10 | 32 | 11 | 24 | 21.88% | 0 | 11.25 | 1 | 0 | 1 | 17 | 0 | 0 | 0 | 15 | 5 | 0 | 48.09% | 183 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | ||
3 | Mackenzie MacEachern | LW/RW | 20 | 7 | 4 | 11 | -2 | 12 | 0 | 55 | 52 | 17 | 38 | 13.46% | 8 | 20.44 | 1 | 1 | 2 | 69 | 0 | 0 | 0 | 37 | 0 | 0 | 41.94% | 31 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
4 | Cal Foote | D | 20 | 1 | 10 | 11 | -6 | 4 | 0 | 14 | 20 | 5 | 23 | 5.00% | 19 | 22.82 | 1 | 1 | 2 | 65 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
5 | Jake Christiansen | D | 18 | 3 | 8 | 11 | 2 | 6 | 0 | 32 | 28 | 11 | 24 | 10.71% | 24 | 23.41 | 0 | 3 | 3 | 68 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
6 | Evgeny Svechnikov | LW/RW | 20 | 3 | 7 | 10 | -6 | 14 | 0 | 37 | 42 | 8 | 28 | 7.14% | 3 | 17.93 | 1 | 2 | 3 | 63 | 0 | 0 | 0 | 30 | 1 | 1 | 56.41% | 39 | 0 | 0 | 0 | 0 | 0.56 | 0 | 1 | ||
7 | Joel L'Esperance | RW | 18 | 4 | 5 | 9 | -1 | 6 | 0 | 19 | 38 | 8 | 44 | 10.53% | 6 | 15.71 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 29 | 0 | 0 | 23.81% | 21 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
8 | Henrik Borgstrom | C | 20 | 4 | 4 | 8 | -3 | 4 | 0 | 2 | 54 | 18 | 45 | 7.41% | 7 | 18.90 | 2 | 2 | 4 | 71 | 0 | 0 | 0 | 40 | 0 | 1 | 61.94% | 423 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
9 | Vincent Desharnais | D | 11 | 1 | 7 | 8 | -4 | 4 | 0 | 12 | 14 | 1 | 10 | 7.14% | 17 | 19.48 | 1 | 3 | 4 | 28 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
10 | Samu Tuomaala | RW | 8 | 2 | 6 | 8 | 1 | 2 | 0 | 0 | 15 | 5 | 10 | 13.33% | 1 | 14.94 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 20.00% | 5 | 0 | 0 | 0 | 0 | 1.34 | 0 | 0 | ||
11 | Connor Mackey | D | 16 | 3 | 4 | 7 | 5 | 20 | 0 | 25 | 10 | 8 | 8 | 30.00% | 21 | 15.15 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 17 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
12 | Jordan Kawaguchi | C | 20 | 3 | 4 | 7 | -1 | 0 | 0 | 2 | 25 | 13 | 23 | 12.00% | 1 | 8.73 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 1 | 1 | 0 | 53.33% | 90 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
13 | Isaak Phillips | D | 20 | 5 | 1 | 6 | 1 | 6 | 0 | 29 | 34 | 7 | 18 | 14.71% | 26 | 18.66 | 2 | 0 | 2 | 80 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
14 | Tyler Tucker | D | 20 | 0 | 5 | 5 | -7 | 26 | 0 | 53 | 18 | 5 | 15 | 0.00% | 23 | 17.11 | 0 | 1 | 1 | 39 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
15 | Jonathan Gruden | LW | 20 | 2 | 2 | 4 | -4 | 16 | 0 | 41 | 41 | 14 | 32 | 4.88% | 4 | 13.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.11% | 18 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
16 | Nathan Staios | D | 20 | 2 | 2 | 4 | -1 | 2 | 0 | 5 | 11 | 1 | 7 | 18.18% | 11 | 11.61 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
17 | Matthew Seminoff | RW | 8 | 0 | 4 | 4 | 0 | 6 | 0 | 22 | 20 | 6 | 13 | 0.00% | 1 | 18.40 | 0 | 2 | 2 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 34.12% | 85 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
18 | Gabriel Fortier | C | 20 | 2 | 1 | 3 | -3 | 4 | 0 | 17 | 34 | 6 | 16 | 5.88% | 2 | 10.91 | 0 | 1 | 1 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 37.57% | 189 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
19 | Brayden Burke | LW | 6 | 1 | 1 | 2 | -2 | 2 | 0 | 5 | 12 | 6 | 7 | 8.33% | 1 | 14.67 | 1 | 0 | 1 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
20 | Ivan Morozov | C | 13 | 1 | 1 | 2 | -1 | 12 | 0 | 13 | 18 | 9 | 9 | 5.56% | 0 | 14.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63.64% | 11 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
21 | Ilya Solovyov | D | 5 | 0 | 1 | 1 | 2 | 6 | 0 | 4 | 1 | 1 | 0 | 0.00% | 5 | 12.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
22 | Tyler Steenbergen | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.71 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
23 | Kirill Maksimov | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
24 | Brandon Coe | RW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.33 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
25 | Albert Johansson | D | 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 | ||
Team Total or Average | 355 | 55 | 94 | 149 | -25 | 154 | 0 | 429 | 574 | 172 | 427 | 9.58% | 184 | 15.90 | 12 | 19 | 31 | 709 | 0 | 0 | 0 | 470 | 8 | 3 | 45.63% | 1705 | 0 | 0 | 0 | 0 | 0.53 | 0 | 2 |
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 | Ivan Prosvetov | 12 | 5 | 6 | 1 | 0.891 | 3.16 | 683 | 0 | 0 | 36 | 331 | 0 | 1 | 0 | 0.000 | 0 | 12 | 5 | 0 | 0 | 0 | |
2 | Remi Poirier | 5 | 2 | 2 | 1 | 0.901 | 2.75 | 305 | 0 | 0 | 14 | 142 | 0 | 3 | 0 | 0.000 | 2 | 5 | 3 | 0 | 0 | 0 | |
3 | Olle Eriksson Ek | 1 | 0 | 0 | 0 | 0.935 | 2.93 | 41 | 0 | 0 | 2 | 31 | 0 | 0 | 0 | 0.000 | 0 | 0 | 6 | 0 | 0 | 0 | |
4 | Trent Miner | 1 | 0 | 1 | 0 | 0.900 | 3.00 | 60 | 0 | 0 | 3 | 30 | 0 | 0 | 0 | 0.000 | 0 | 1 | 4 | 0 | 0 | 0 | |
Team Total or Average | 19 | 7 | 9 | 2 | 0.897 | 3.03 | 1089 | 0 | 0 | 55 | 534 | 0 | 4 | 0 | 0.000 | 2 | 18 | 18 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Albert Johansson | D | 22 | 775,000$ | 775,000$ | RFA | ||||||
Alex Steeves | C | 23 | 834,167$ | 834,167$ | RFA | ||||||
Brandon Coe | RW | 22 | 850,833$ | 850,833$ | RFA | ||||||
Brayden Burke | LW | 26 | 775,000$ | 775,000$ | |||||||
Cal Foote | D | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Colby Sissons | D | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
Connor Mackey | D | 27 | 950,000$ | 950,000$ | UFA | ||||||
Evgeny Svechnikov | LW/RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Gabriel Fortier | C | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
Henrik Borgstrom | C | 26 | 775,000$ | 775,000$ | |||||||
Ian Scott | G | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Ilya Solovyov | D | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Isaak Phillips | D | 22 | 859,167$ | 859,167$ | RFA | ||||||
Ivan Morozov | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Ivan Prosvetov | G | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Jacob Peterson | C/LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Jake Christiansen | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Joel L'Esperance | RW | 28 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Jonathan Gruden | LW | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Jordan Kawaguchi | C | 26 | 850,000$ | 850,000$ | |||||||
Kirill Maksimov | LW | 24 | 775,000$ | 775,000$ | |||||||
Lean Bergmann | LW/RW | 25 | 775,000$ | 775,000$ | |||||||
Mackenzie MacEachern | LW/RW | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Matthew Seminoff | RW | 19 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Nathan Staios | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Niclas Almari | D | 25 | 775,000$ | 775,000$ | |||||||
Olle Eriksson Ek | G | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Remi Poirier | G | 22 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Samu Tuomaala | RW | 20 | 830,833$ | 830,833$ | 830,833$ | 830,833$ | RFA | ||||
Trent Miner | G | 22 | 828,333$ | 828,333$ | RFA | ||||||
Tyler Parsons | G | 26 | 775,000$ | 775,000$ | |||||||
Tyler Steenbergen | LW/RW | 25 | 775,000$ | 775,000$ | |||||||
Tyler Tucker | D | 23 | 950,000$ | 950,000$ | 950,000$ | ||||||
Vincent Desharnais | D | 27 | 775,000$ | 775,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 28 | 18 | 10 | 1 | 26 | 208 | 186 | 198 | 8 | 31 | 15 | 8 | 23 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 20.0% | 7.7% | 87.1% | 94.8 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 28 | 18 | 10 | 1 | 26 | 208 | 186 | 198 | 8 | 36 | 15 | 6 | 14 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 14.3% | 7.7% | 83.3% | 91.0 | Unlucky | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 28 | 18 | 10 | 1 | 60 | 208 | 186 | 198 | 8 | 32 | 14 | 10 | 48 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 50.0% | 6.7% | 87.5% | 94.2 | Unlucky | |
4 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 28 | 18 | 10 | 1 | 105 | 208 | 186 | 198 | 8 | 85 | 15 | 16 | 79 | 13 | 1 | 7.69% | 7 | 2 | 71.43% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 50.0% | 7.6% | 89.4% | 97.0 | Unlucky | |
5 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.750 | 9 | 14 | 23 | 0 | 0 | 28 | 18 | 10 | 1 | 59 | 208 | 186 | 198 | 8 | 70 | 15 | 12 | 44 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 46.7% | 15.3% | 88.6% | 103.8 | FUN | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 28 | 18 | 10 | 1 | 58 | 208 | 186 | 198 | 8 | 70 | 21 | 28 | 41 | 8 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 28.6% | 3.4% | 91.4% | 94.9 | DULL | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 28 | 18 | 10 | 1 | 50 | 208 | 186 | 198 | 8 | 60 | 13 | 10 | 46 | 10 | 1 | 10.00% | 4 | 2 | 50.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 55.6% | 12.0% | 90.0% | 102.0 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 28 | 18 | 10 | 1 | 42 | 208 | 186 | 198 | 8 | 37 | 10 | 8 | 16 | 4 | 2 | 50.00% | 4 | 2 | 50.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 66.7% | 9.5% | 91.9% | 101.4 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 28 | 18 | 10 | 1 | 56 | 208 | 186 | 198 | 8 | 75 | 34 | 28 | 46 | 8 | 0 | 0.00% | 14 | 2 | 85.71% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 50.0% | 10.7% | 89.3% | 100.0 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 28 | 18 | 10 | 1 | 45 | 208 | 186 | 198 | 8 | 66 | 24 | 24 | 35 | 8 | 1 | 12.50% | 12 | 3 | 75.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 66.7% | 15.6% | 90.9% | 106.5 | FUN | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 28 | 18 | 10 | 1 | 71 | 208 | 186 | 198 | 8 | 45 | 10 | 18 | 55 | 10 | 2 | 20.00% | 8 | 0 | 100.00% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 50.0% | 9.9% | 88.9% | 98.7 | FUN | |
_Vs Division | 4 | 5 | 6 | 0 | 1 | 1 | 0 | 0 | 11 | 16 | -5 | 13 | 1.625 | 11 | 20 | 31 | 0 | 0 | 28 | 18 | 10 | 1 | 97 | 208 | 186 | 198 | 8 | 133 | 54 | 38 | 72 | 16 | 3 | 18.75% | 18 | 3 | 83.33% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 38.1% | 11.3% | 88.0% | 99.3 | FUN | |
_Vs Conference | 16 | 6 | 8 | 0 | 1 | 1 | 0 | 0 | 48 | 54 | -6 | 15 | 0.469 | 48 | 85 | 133 | 0 | 0 | 28 | 18 | 10 | 1 | 469 | 208 | 186 | 198 | 8 | 492 | 155 | 122 | 351 | 67 | 10 | 14.93% | 57 | 12 | 78.95% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 47.5% | 10.2% | 89.0% | 99.3 | FUN | |
_Since Last GM Reset | 20 | 7 | 10 | 0 | 1 | 1 | 0 | 1 | 57 | 65 | -8 | 18 | 0.450 | 57 | 99 | 156 | 0 | 0 | 28 | 18 | 10 | 1 | 598 | 208 | 186 | 198 | 8 | 607 | 186 | 168 | 447 | 85 | 12 | 14.12% | 77 | 13 | 83.12% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 46.4% | 9.5% | 89.3% | 98.8 | FUN | |
Total | 20 | 7 | 10 | 0 | 1 | 1 | 0 | 1 | 57 | 65 | -8 | 18 | 0.450 | 57 | 99 | 156 | 0 | 0 | 28 | 18 | 10 | 1 | 598 | 208 | 186 | 198 | 8 | 607 | 186 | 168 | 447 | 85 | 12 | 14.12% | 77 | 13 | 83.12% | 0 | 335 | 701 | 47.79% | 290 | 668 | 43.41% | 161 | 340 | 47.35% | 470 | 314 | 474 | 152 | 265 | 132 | 46.4% | 9.5% | 89.3% | 98.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 701 |
Neutral Zone Start | 340 |
Defensive Zone Start | 668 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 786 |
Faceoffs Lost | 923 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 19.7 | 20.31 |
3rd Period | 29.6 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 45 |
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PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 2 |
Lost | 4 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 85 |
---|---|
PP Goal | 12 |
PK Attempt | 77 |
PK Goal Against | 13 |
Home | |
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Shots For | 29.9 |
Shots Against | 30.4 |
Goals For | 2.9 |
Goals Against | 3.3 |
Hits | 22.4 |
Shots Blocked | 9.3 |
Pim | 8.4 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-14 | @ | Americans3,Marlies4 | RECAP | |||||||||||
2023-10-15 | @ | Comets6,Marlies2 | RECAP | |||||||||||
2023-10-21 | @ | Checkers6,Marlies3 | RECAP | |||||||||||
2023-10-22 | @ | Checkers2,Marlies3 | RECAP | |||||||||||
2023-10-24 | @ | Admirals2,Marlies0 | RECAP | |||||||||||
2023-10-27 | @ | Marlies1,Senators2 | RECAP | |||||||||||
2023-10-28 | @ | Marlies3,Senators2 | RECAP | |||||||||||
2023-11-03 | @ | Marlies5,Rocket6 (OT) | RECAP | |||||||||||
2023-11-04 | @ | Marlies4,Rocket2 | RECAP | |||||||||||
2023-11-08 | @ | Marlies2,Admirals4 | RECAP | |||||||||||
2023-11-10 | @ | Marlies2,Griffins3 | RECAP | |||||||||||
2023-11-11 | @ | Marlies2,Griffins3 | RECAP | |||||||||||
2023-11-18 | @ | Moose3,Marlies2 (SO) | RECAP | |||||||||||
2023-11-19 | @ | Moose2,Marlies5 | RECAP | |||||||||||
2023-11-21 | @ | Phantoms4,Marlies2 | RECAP | |||||||||||
2023-11-24 | @ | Marlies2,Monsters5 | RECAP | |||||||||||
2023-11-26 | @ | Monsters1,Marlies5 | RECAP | |||||||||||
2023-12-01 | @ | Marlies3,Crunch5 | RECAP | |||||||||||
2023-12-02 | @ | Crunch1,Marlies3 | RECAP | |||||||||||
2023-12-05 | @ | Griffins3,Marlies4 (OT) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,859,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Toronto | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,859,000$ | 2,859,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
954,101$ | 14,662$ | 800,237$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 132 | 17,226$ | 2,325,510$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,325,510$ | 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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