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Full Scoreboard »» |
Toronto Marlies Team Overall:67 19-13-2, 40pts · 3rd in Conférence EST |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 99.00 | 26 | 67 | 48 | 87 | 70 | 84 | 78 | 87 | 68 | 53 | 67 | 67 | 71 | 68 | 73 | 69 | 0 | 40 | 73 | 99.00 | 2,275,000$/2yrs | ||
![]() | 0 | RW | 100.00 | 24 | 59 | 38 | 85 | 68 | 72 | 81 | 77 | 66 | 59 | 67 | 62 | 61 | 68 | 69 | 65 | 0 | 40 | 69 | 100.00 | 900,000$/2yrs | ||
![]() | 0 | C/LW/RW | 97.00 | 23 | 64 | 48 | 88 | 65 | 81 | 75 | 73 | 66 | 70 | 63 | 62 | 64 | 66 | 65 | 63 | 0 | 40 | 69 | 97.00 | 863,333$/2yrs | ||
![]() | 0 | C/LW | 97.00 | 25 | 66 | 48 | 87 | 63 | 84 | 74 | 73 | 62 | 64 | 61 | 60 | 62 | 63 | 71 | 66 | 0 | 40 | 68 | 97.00 | 700,000$/1yrs | ||
![]() | 0 | RW | 100.00 | 27 | 65 | 46 | 88 | 62 | 85 | 75 | 78 | 63 | 55 | 59 | 60 | 64 | 62 | 75 | 65 | 0 | 40 | 68 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | LW | 100.00 | 25 | 82 | 43 | 78 | 61 | 78 | 80 | 71 | 62 | 54 | 55 | 63 | 57 | 62 | 71 | 68 | 0 | 40 | 68 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | C | 100.00 | 24 | 54 | 39 | 87 | 68 | 64 | 74 | 73 | 67 | 78 | 66 | 62 | 61 | 67 | 69 | 65 | 0 | 40 | 68 | 100.00 | 775,000$/2yrs | ||
![]() | 0 | C | 100.00 | 26 | 67 | 46 | 83 | 62 | 91 | 69 | 71 | 63 | 75 | 59 | 61 | 64 | 62 | 73 | 67 | 0 | 40 | 68 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | C | 100.00 | 20 | 63 | 45 | 85 | 62 | 77 | 84 | 87 | 59 | 71 | 55 | 56 | 63 | 58 | 62 | 64 | 0 | 40 | 66 | 100.00 | 1,243,750$/3yrs | ||
![]() | 0 | LW | 100.00 | 24 | 64 | 43 | 86 | 61 | 80 | 72 | 69 | 58 | 53 | 57 | 59 | 60 | 62 | 69 | 65 | 0 | 40 | 66 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | C | 100.00 | 20 | 62 | 42 | 84 | 63 | 78 | 83 | 82 | 61 | 75 | 60 | 57 | 59 | 63 | 61 | 62 | 0 | 40 | 66 | 100.00 | 1,075,000$/3yrs | ||
![]() | 0 | C | 100.00 | 23 | 59 | 51 | 79 | 58 | 73 | 83 | 78 | 57 | 64 | 56 | 56 | 59 | 60 | 67 | 64 | 0 | 40 | 65 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | D | 100.00 | 26 | 81 | 45 | 83 | 64 | 78 | 83 | 80 | 63 | 30 | 71 | 59 | 62 | 53 | 71 | 66 | 0 | 40 | 70 | 100.00 | 1,850,000$/2yrs | ||
![]() | 0 | D | 100.00 | 25 | 78 | 43 | 77 | 66 | 79 | 81 | 72 | 65 | 30 | 69 | 56 | 73 | 50 | 71 | 67 | 0 | 40 | 70 | 100.00 | 925,000$/2yrs | ||
![]() | 0 | D | 100.00 | 25 | 78 | 59 | 77 | 60 | 99 | 86 | 78 | 59 | 30 | 58 | 56 | 67 | 52 | 69 | 65 | 0 | 40 | 68 | 100.00 | 725,000$/1yrs | ||
![]() | 0 | D | 100.00 | 22 | 61 | 42 | 89 | 66 | 76 | 84 | 77 | 64 | 30 | 65 | 58 | 59 | 56 | 65 | 64 | 0 | 40 | 68 | 100.00 | 815,000$/3yrs | ||
![]() | 0 | D | 100.00 | 25 | 64 | 43 | 86 | 61 | 75 | 84 | 77 | 59 | 30 | 62 | 58 | 60 | 54 | 71 | 66 | 0 | 40 | 67 | 100.00 | 750,000$/2yrs | ||
![]() | 0 | D | 100.00 | 24 | 64 | 43 | 86 | 59 | 84 | 79 | 72 | 58 | 30 | 57 | 56 | 60 | 53 | 69 | 65 | 0 | 40 | 66 | 100.00 | 700,000$/2yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 22 | 53 | 38 | 82 | 59 | 65 | 75 | 68 | 58 | 53 | 61 | 57 | 58 | 56 | 65 | 63 | 0 | 40 | 64 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | RW | 100.00 | 21 | 52 | 43 | 88 | 58 | 68 | 87 | 82 | 57 | 53 | 54 | 56 | 59 | 57 | 63 | 62 | 0 | 40 | 64 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | C | 100.00 | 22 | 63 | 45 | 89 | 56 | 79 | 77 | 76 | 58 | 62 | 54 | 54 | 57 | 56 | 63 | 62 | 0 | 40 | 64 | 100.00 | 800,000$/1yrs | ||
![]() | 0 | C | 100.00 | 20 | 73 | 43 | 86 | 55 | 88 | 73 | 72 | 53 | 65 | 54 | 52 | 57 | 53 | 61 | 62 | 0 | 40 | 64 | 100.00 | 894,167$/3yrs | ||
![]() | 0 | C | 100.00 | 21 | 52 | 46 | 88 | 59 | 56 | 87 | 89 | 58 | 66 | 57 | 54 | 53 | 58 | 63 | 61 | 0 | 40 | 63 | 100.00 | 910,833$/1yrs | ||
![]() | 0 | C | 100.00 | 21 | 51 | 50 | 82 | 58 | 67 | 86 | 88 | 57 | 65 | 56 | 54 | 53 | 58 | 63 | 62 | 0 | 40 | 63 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | D | 100.00 | 22 | 72 | 51 | 83 | 57 | 88 | 81 | 79 | 56 | 30 | 54 | 54 | 58 | 46 | 65 | 64 | 0 | 40 | 65 | 100.00 | 925,000$/3yrs | ||
TEAM AVERAGE | 99.72 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 28 | 79 | 82 | 84 | 79 | 79 | 78 | 77 | 83 | 0 | 40 | 69 | 1,250,000$/2yrs | ||||||||
![]() | 0 | 100.00 | 25 | 76 | 68 | 70 | 76 | 76 | 75 | 71 | 75 | 0 | 40 | 67 | 675,000$/2yrs | ||||||||
Scratches | |||||||||||||||||||||||
![]() | 0 | 100.00 | 22 | 71 | 80 | 82 | 71 | 71 | 70 | 65 | 69 | 0 | 40 | 64 | 925,000$/2yrs | ||||||||
![]() | 0 | 100.00 | 21 | 61 | 52 | 54 | 61 | 61 | 60 | 63 | 67 | 0 | 40 | 59 | 925,000$/3yrs | ||||||||
TEAM AVERAGE | 100.00 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Eric Veilleux | 43 | 49 | 58 | 46 | 61 | 62 | 1 | CAN | 46 | 1 | 525,000$ |
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jimmy Vesey | LW/RW | 31 | 16 | 15 | 31 | 18 | 6 | 0 | 47 | 113 | 30 | 100 | 14.16% | 7 | 22.38 | 2 | 4 | 6 | 76 | 0 | 0 | 0 | 31 | 2 | 2 | 46.13% | 297 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | |||
2 | Brendan Gaunce | C/LW | 33 | 10 | 16 | 26 | 8 | 11 | 5 | 54 | 75 | 26 | 48 | 13.33% | 6 | 19.79 | 5 | 2 | 7 | 74 | 0 | 0 | 0 | 76 | 3 | 0 | 48.27% | 404 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |||
3 | Yakov Trenin | C/LW/RW | 31 | 5 | 20 | 25 | 7 | 12 | 0 | 36 | 92 | 43 | 74 | 5.43% | 8 | 21.38 | 1 | 6 | 7 | 74 | 0 | 0 | 0 | 48 | 2 | 0 | 59.26% | 81 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |||
4 | Ben Harpur | D | 34 | 9 | 15 | 24 | 6 | 48 | 0 | 98 | 65 | 15 | 33 | 13.85% | 41 | 23.81 | 5 | 7 | 12 | 76 | 1 | 0 | 1 | 58 | 2 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |||
5 | Caleb Jones | D | 34 | 7 | 13 | 20 | 7 | 6 | 0 | 19 | 61 | 16 | 26 | 11.48% | 50 | 23.81 | 5 | 4 | 9 | 77 | 0 | 0 | 0 | 85 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |||
6 | Nic Petan | C | 33 | 6 | 13 | 19 | -4 | 2 | 0 | 14 | 77 | 26 | 58 | 7.79% | 4 | 19.38 | 2 | 5 | 7 | 65 | 0 | 0 | 0 | 32 | 0 | 2 | 51.08% | 554 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |||
7 | Slater Koekkoek | D | 34 | 4 | 13 | 17 | -9 | 30 | 0 | 69 | 60 | 23 | 46 | 6.67% | 47 | 24.31 | 1 | 2 | 3 | 86 | 0 | 1 | 1 | 56 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |||
8 | Brett Kulak | D | 34 | 3 | 13 | 16 | -1 | 28 | 0 | 47 | 43 | 13 | 28 | 6.98% | 38 | 24.03 | 0 | 1 | 1 | 87 | 0 | 1 | 1 | 75 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |||
9 | Tyler Graovac | C | 34 | 5 | 11 | 16 | 5 | 18 | 0 | 32 | 46 | 10 | 38 | 10.87% | 8 | 15.74 | 0 | 5 | 5 | 29 | 0 | 0 | 0 | 15 | 0 | 0 | 52.40% | 458 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |||
10 | Mackenzie MacEachern | LW | 34 | 6 | 9 | 15 | -4 | 16 | 0 | 77 | 57 | 15 | 43 | 10.53% | 2 | 17.05 | 2 | 2 | 4 | 56 | 0 | 0 | 0 | 37 | 1 | 2 | 45.00% | 60 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |||
11 | Logan Shaw | RW | 33 | 5 | 8 | 13 | -1 | 12 | 0 | 21 | 69 | 21 | 45 | 7.25% | 2 | 16.01 | 0 | 4 | 4 | 37 | 0 | 0 | 0 | 14 | 3 | 0 | 44.44% | 126 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |||
12 | Nikolay Goldobin | RW | 27 | 7 | 6 | 13 | -9 | 2 | 0 | 21 | 68 | 23 | 37 | 10.29% | 3 | 18.45 | 1 | 2 | 3 | 35 | 0 | 0 | 0 | 15 | 2 | 0 | 41.07% | 56 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |||
13 | Joe Veleno | C | 34 | 5 | 7 | 12 | 12 | 4 | 0 | 36 | 46 | 14 | 42 | 10.87% | 8 | 13.63 | 0 | 0 | 0 | 19 | 1 | 1 | 2 | 31 | 3 | 0 | 51.02% | 488 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |||
14 | Calle Rosen | D | 34 | 1 | 8 | 9 | 11 | 12 | 0 | 31 | 14 | 9 | 11 | 7.14% | 20 | 16.34 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |||
15 | Daniel Brickley | D | 30 | 2 | 4 | 6 | 5 | 6 | 0 | 20 | 4 | 3 | 4 | 50.00% | 10 | 7.45 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |||
16 | Remi Elie | LW | 34 | 3 | 3 | 6 | -2 | 6 | 0 | 35 | 27 | 14 | 29 | 11.11% | 4 | 12.75 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 11 | 0 | 1 | 40.32% | 124 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |||
17 | Danil Yurtaykin | LW | 17 | 1 | 1 | 2 | 1 | 0 | 0 | 2 | 4 | 0 | 3 | 25.00% | 0 | 3.34 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |||
18 | Shane Bowers | C | 34 | 1 | 1 | 2 | 1 | 2 | 0 | 4 | 10 | 3 | 13 | 10.00% | 2 | 3.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.22% | 108 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |||
19 | Kristian Reichel | RW | 9 | 1 | 0 | 1 | -1 | 0 | 0 | 2 | 3 | 1 | 4 | 33.33% | 0 | 7.31 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |||
20 | Jonathan Kovacevic | D | 4 | 0 | 0 | 0 | 3 | 4 | 0 | 10 | 2 | 0 | 0 | 0.00% | 1 | 14.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
21 | Otto Somppi | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
22 | Reid Duke | C | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
23 | Riley Sutter | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 0 | 6.68 | 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 | 612 | 97 | 176 | 273 | 53 | 225 | 5 | 677 | 937 | 305 | 683 | 10.35% | 261 | 16.43 | 25 | 45 | 70 | 832 | 2 | 3 | 5 | 665 | 19 | 10 | 49.26% | 2761 | 0 | 0 | 0 | 0 | 0.54 | 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 | Casey DeSmith | 34 | 18 | 11 | 2 | 0.910 | 2.48 | 1914 | 0 | 3 | 79 | 880 | 0 | 0 | 0 | 0.000 | 0 | 34 | 0 | 4 | 2 | 3 | |
2 | Oscar Dansk | 4 | 1 | 2 | 0 | 0.958 | 1.29 | 140 | 0 | 0 | 3 | 71 | 0 | 0 | 0 | 0.000 | 0 | 0 | 34 | 0 | 0 | 0 | |
Team Total or Average | 38 | 19 | 13 | 2 | 0.914 | 2.39 | 2055 | 0 | 3 | 82 | 951 | 0 | 0 | 0 | 0.000 | 0 | 34 | 34 | 4 | 2 | 3 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Harpur | D | 25 | 725,000$ | 725,000$ | |||||||
Brendan Gaunce | C/LW | 25 | 700,000$ | 700,000$ | |||||||
Brett Kulak | D | 26 | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||||
Caleb Jones | D | 22 | 815,000$ | 815,000$ | 815,000$ | 815,000$ | |||||
Calle Rosen | D | 25 | 750,000$ | 750,000$ | 750,000$ | ||||||
| 0$ | 0$ | |||||||||
| 0$ | 0$ | |||||||||
Daniel Brickley | D | 24 | 700,000$ | 700,000$ | 700,000$ | ||||||
Danil Yurtaykin | LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jimmy Vesey | LW/RW | 26 | 2,275,000$ | 2,275,000$ | 2,275,000$ | ||||||
Joe Veleno | C | 20 | 1,243,750$ | 1,243,750$ | 1,243,750$ | 1,243,750$ | |||||
Jonathan Ang | C | 21 | 910,833$ | 910,833$ | |||||||
Jonathan Kovacevic | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Kristian Reichel | RW | 21 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Logan Shaw | RW | 27 | 700,000$ | 700,000$ | |||||||
Mackenzie MacEachern | LW | 25 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Nic Petan | C | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Nikolay Goldobin | RW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| 0$ | 0$ | |||||||||
Oskar Steen | C | 21 | 925,000$ | 925,000$ | |||||||
Otto Somppi | C | 22 | 800,000$ | 800,000$ | |||||||
Reid Duke | C | 23 | 925,000$ | 925,000$ | |||||||
Remi Elie | LW | 24 | 700,000$ | 700,000$ | |||||||
Riley Sutter | C | 20 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Shane Bowers | C | 20 | 1,075,000$ | 1,075,000$ | 1,075,000$ | 1,075,000$ | |||||
Slater Koekkoek | D | 25 | 925,000$ | 925,000$ | 925,000$ | ||||||
Tyler Graovac | C | 26 | 700,000$ | 700,000$ | |||||||
| 0$ | 0$ | |||||||||
Yakov Trenin | C/LW/RW | 23 | 863,333$ | 863,333$ | 863,333$ |
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Goalies | |||||||
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 39 | 24 | 30 | 4 | 34 | 321 | 296 | 298 | 22 | 32 | 7 | 8 | 24 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 50.0% | 8.8% | 87.5% | 96.3 | Unlucky | |
2 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 3 | 0.500 | 5 | 10 | 15 | 0 | 0 | 39 | 24 | 30 | 4 | 75 | 321 | 296 | 298 | 22 | 81 | 26 | 18 | 68 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 50.0% | 6.7% | 92.6% | 99.3 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 39 | 24 | 30 | 4 | 31 | 321 | 296 | 298 | 22 | 19 | 9 | 8 | 18 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 75.0% | 9.7% | 94.7% | 104.4 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 39 | 24 | 30 | 4 | 23 | 321 | 296 | 298 | 22 | 28 | 15 | 8 | 22 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 33.3% | 17.4% | 82.1% | 99.5 | FUN | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 39 | 24 | 30 | 4 | 33 | 321 | 296 | 298 | 22 | 40 | 9 | 12 | 10 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 60.0% | 12.1% | 92.5% | 104.6 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 39 | 24 | 30 | 4 | 15 | 321 | 296 | 298 | 22 | 27 | 3 | 2 | 19 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 0.0% | 0.0% | 88.9% | 88.9 | Unlucky | |
7 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 17 | 26 | 0 | 1 | 39 | 24 | 30 | 4 | 101 | 321 | 296 | 298 | 22 | 82 | 26 | 18 | 50 | 10 | 2 | 20.00% | 8 | 1 | 87.50% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 50.0% | 8.9% | 90.2% | 99.2 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 39 | 24 | 30 | 4 | 17 | 321 | 296 | 298 | 22 | 31 | 9 | 4 | 21 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 33.3% | 5.9% | 90.3% | 96.2 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 39 | 24 | 30 | 4 | 26 | 321 | 296 | 298 | 22 | 28 | 4 | 8 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | nan% | 0.0% | 96.4% | 96.4 | DULL | |
10 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 10 | -2 | 3 | 0.500 | 8 | 14 | 22 | 0 | 0 | 39 | 24 | 30 | 4 | 82 | 321 | 296 | 298 | 22 | 97 | 24 | 29 | 58 | 8 | 3 | 37.50% | 10 | 2 | 80.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 38.5% | 9.8% | 89.7% | 99.4 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 39 | 24 | 30 | 4 | 44 | 321 | 296 | 298 | 22 | 57 | 15 | 12 | 40 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 71.4% | 11.4% | 93.0% | 104.3 | LUCKY | |
12 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 8 | 7 | 6 | 0.750 | 15 | 25 | 40 | 0 | 1 | 39 | 24 | 30 | 4 | 131 | 321 | 296 | 298 | 22 | 100 | 24 | 32 | 82 | 12 | 3 | 25.00% | 15 | 4 | 73.33% | 1 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 75.0% | 11.5% | 92.0% | 103.5 | LUCKY | |
13 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 24 | 37 | 0 | 0 | 39 | 24 | 30 | 4 | 87 | 321 | 296 | 298 | 22 | 75 | 23 | 22 | 64 | 9 | 4 | 44.44% | 7 | 1 | 85.71% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 64.3% | 14.9% | 92.0% | 106.9 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 39 | 24 | 30 | 4 | 32 | 321 | 296 | 298 | 22 | 20 | 2 | 8 | 11 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 66.7% | 18.8% | 85.0% | 103.8 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 39 | 24 | 30 | 4 | 19 | 321 | 296 | 298 | 22 | 24 | 15 | 2 | 16 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 1 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 40.0% | 10.5% | 87.5% | 98.0 | FUN | |
16 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 15 | 23 | 0 | 0 | 39 | 24 | 30 | 4 | 95 | 321 | 296 | 298 | 22 | 82 | 16 | 8 | 70 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 54.5% | 8.4% | 92.7% | 101.1 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 39 | 24 | 30 | 4 | 37 | 321 | 296 | 298 | 22 | 69 | 13 | 20 | 42 | 8 | 2 | 25.00% | 10 | 3 | 70.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 33.3% | 10.8% | 89.9% | 100.7 | FUN | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 39 | 24 | 30 | 4 | 55 | 321 | 296 | 298 | 22 | 59 | 21 | 6 | 38 | 11 | 4 | 36.36% | 3 | 0 | 100.00% | 0 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 75.0% | 12.7% | 98.3% | 111.0 | LUCKY | |
_Vs Division | 9 | 3 | 3 | 0 | 3 | 0 | 0 | 0 | 31 | 22 | 9 | 12 | 0.667 | 31 | 55 | 86 | 0 | 1 | 39 | 24 | 30 | 4 | 282 | 321 | 296 | 298 | 22 | 250 | 64 | 60 | 184 | 29 | 8 | 27.59% | 29 | 7 | 75.86% | 1 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 60.5% | 11.0% | 91.2% | 102.2 | LUCKY | |
_Vs Conference | 21 | 9 | 7 | 0 | 3 | 2 | 0 | 0 | 63 | 54 | 9 | 26 | 0.619 | 63 | 113 | 176 | 0 | 1 | 39 | 24 | 30 | 4 | 582 | 321 | 296 | 298 | 22 | 596 | 165 | 151 | 432 | 59 | 17 | 28.81% | 65 | 14 | 78.46% | 2 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 53.5% | 10.8% | 90.9% | 101.8 | FUN | |
_Since Last GM Reset | 34 | 15 | 13 | 0 | 4 | 2 | 0 | 0 | 97 | 82 | 15 | 40 | 0.588 | 97 | 176 | 273 | 0 | 3 | 39 | 24 | 30 | 4 | 937 | 321 | 296 | 298 | 22 | 951 | 261 | 225 | 677 | 99 | 25 | 25.25% | 100 | 22 | 78.00% | 2 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 54.5% | 10.4% | 91.4% | 101.7 | LUCKY | |
Total | 34 | 15 | 13 | 0 | 4 | 2 | 0 | 0 | 97 | 82 | 15 | 40 | 0.588 | 97 | 176 | 273 | 0 | 3 | 39 | 24 | 30 | 4 | 937 | 321 | 296 | 298 | 22 | 951 | 261 | 225 | 677 | 99 | 25 | 25.25% | 100 | 22 | 78.00% | 2 | 535 | 1060 | 50.47% | 557 | 1139 | 48.90% | 268 | 540 | 49.63% | 798 | 545 | 812 | 255 | 445 | 220 | 54.5% | 10.4% | 91.4% | 101.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1060 |
Neutral Zone Start | 540 |
Defensive Zone Start | 1139 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1360 |
Faceoffs Lost | 1379 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 18.1 | 20.31 |
3rd Period | 26.9 | 30.68 |
Overtime | 27.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 70 |
---|---|
PP Goal | 25 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 9 |
Lost | 4 | 9 |
Overtime Lost | 2 | 0 |
PP Attempt | 99 |
---|---|
PP Goal | 25 |
PK Attempt | 100 |
PK Goal Against | 22 |
Home | |
---|---|
Shots For | 27.6 |
Shots Against | 28.0 |
Goals For | 2.9 |
Goals Against | 2.4 |
Hits | 19.9 |
Shots Blocked | 7.7 |
Pim | 6.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-21 | @ | Marlies3,Sound Tigers1 | RECAP | ||
2020-11-23 | @ | Sound Tigers4,Marlies5 (OT) | RECAP | ||
2020-11-24 | @ | Marlies4,Checkers5 | RECAP | ||
2020-11-26 | @ | Sound Tigers0,Marlies6 | RECAP | ||
2020-11-28 | @ | Marlies5,Rocherster Americans3 | RECAP | ||
2020-11-30 | @ | Marlies1,Admirals3 | RECAP | ||
2020-12-02 | @ | Wolf Pack3,Marlies4 (OT) | RECAP | ||
2020-12-04 | @ | Marlies2,Scranton Penguins3 | RECAP | ||
2020-12-06 | @ | Rampage0,Marlies2 | RECAP | ||
2020-12-08 | @ | Senators2,Marlies1 (OT) | RECAP | ||
2020-12-11 | @ | Bruins1,Marlies0 (OT) | RECAP | ||
2020-12-12 | @ | Marlies0,Griffins3 | RECAP | ||
2020-12-15 | @ | Marlies2,Rocket3 | RECAP | ||
2020-12-17 | @ | Condors1,Marlies0 | RECAP | ||
2020-12-19 | @ | Marlies3,Thunderbirds2 | RECAP | ||
2020-12-20 | @ | Marlies4,Bruins6 | RECAP | ||
2020-12-22 | @ | Sound Tigers3,Marlies1 | RECAP | ||
2020-12-24 | @ | Scranton Penguins1,Marlies2 (OT) | RECAP | ||
2020-12-26 | @ | Rampage4,Marlies5 (OT) | RECAP | ||
2020-12-28 | @ | Marlies3,Rocherster Americans2 | RECAP | ||
2020-12-29 | @ | Marlies2,IceHogs3 | RECAP | ||
2021-01-01 | @ | Marlies6,Manitoba Moose3 | RECAP | ||
2021-01-02 | @ | Heat4,Marlies3 | RECAP | ||
2021-01-05 | @ | Scranton Penguins2,Marlies4 | RECAP | ||
2021-01-07 | @ | Marlies1,Thunderbirds5 | RECAP | ||
2021-01-08 | @ | Marlies4,Wolves 0 | RECAP | ||
2021-01-10 | @ | Bruins3,Marlies4 | RECAP | ||
2021-01-12 | @ | Marlies2,Senators1 | RECAP | ||
2021-01-13 | @ | Reign1,Marlies3 | RECAP | ||
2021-01-15 | @ | Marlies3,IceHogs1 | RECAP | ||
2021-01-17 | @ | Rocherster Americans1,Marlies5 | RECAP | ||
2021-01-19 | @ | Senators3,Marlies2 | RECAP | ||
2021-01-21 | @ | Marlies2,Rampage4 | RECAP | ||
2021-01-23 | @ | Marlies3,Wolves 1 | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
27,227,084$ | 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$ | 15$ | $ | $ | $ |
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 |
27,227,084$ | 27,227,084$ | 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$ | 99 | 163,248$ | 16,161,552$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
16,161,552$ | 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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