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Full Scoreboard »» |
Toronto Maple Leafs 36-11-5, 77pts · 2nd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 75 | 36 | 82 | 86 | 80 | 87 | 90 | 81 | 60 | 79 | 90 | 67 | 86 | 76 | 87 | 0 | 81 | 91 | 30 | 8,250,000$/1yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 66 | 37 | 81 | 83 | 91 | 86 | 88 | 81 | 79 | 77 | 86 | 64 | 83 | 70 | 68 | 0 | 46 | 88 | 27 | 7,142,856$/6yrs | |||
![]() | 0 | C/RW | 99.00 | 77 | 35 | 77 | 75 | 71 | 91 | 90 | 78 | 93 | 82 | 75 | 83 | 76 | 78 | 76 | 0 | 81 | 87 | 31 | 6,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 64 | 35 | 87 | 78 | 82 | 89 | 90 | 77 | 92 | 73 | 83 | 70 | 80 | 75 | 91 | 0 | 81 | 86 | 29 | 8,000,000$/7yrs | |||
![]() | 0 | C/LW | 99.00 | 70 | 38 | 84 | 73 | 81 | 81 | 90 | 75 | 85 | 77 | 76 | 71 | 75 | 85 | 99 | 0 | 77 | 86 | 35 | 9,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 33 | 90 | 79 | 77 | 86 | 90 | 75 | 59 | 75 | 81 | 58 | 78 | 69 | 68 | 0 | 81 | 84 | 26 | 8,125,000$/7yrs | |||
![]() | 0 | C/RW | 100.00 | 57 | 37 | 89 | 76 | 86 | 84 | 80 | 76 | 61 | 68 | 84 | 60 | 80 | 67 | 66 | 0 | 81 | 83 | 25 | 3,400,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 33 | 95 | 75 | 80 | 81 | 82 | 70 | 56 | 66 | 74 | 66 | 72 | 64 | 64 | 0 | 81 | 80 | 24 | 2,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 33 | 92 | 64 | 76 | 86 | 90 | 65 | 85 | 67 | 64 | 85 | 64 | 76 | 75 | 0 | 81 | 78 | 30 | 3,750,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 78 | 33 | 84 | 68 | 81 | 80 | 90 | 63 | 64 | 57 | 74 | 75 | 68 | 70 | 68 | 0 | 35 | 77 | 26 | 1,500,000$/3yrs | |||
![]() | 72 | C/LW/RW | 100.00 | 61 | 32 | 90 | 62 | 74 | 81 | 80 | 64 | 80 | 66 | 66 | 67 | 65 | 77 | 76 | 0 | 81 | 76 | 31 | 900,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 34 | 79 | 56 | 86 | 76 | 86 | 58 | 82 | 55 | 63 | 77 | 60 | 72 | 70 | 0 | 78 | 72 | 28 | 1,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 68 | 33 | 68 | 76 | 85 | 94 | 88 | 76 | 30 | 78 | 57 | 90 | 66 | 74 | 71 | 0 | 81 | 87 | 28 | 3,000,000$/3yrs | |||
![]() | 0 | D | 99.00 | 81 | 36 | 78 | 68 | 79 | 94 | 90 | 69 | 30 | 72 | 73 | 86 | 71 | 77 | 75 | 0 | 81 | 85 | 31 | 6,000,000$/7yrs | |||
![]() | 0 | D | 100.00 | 71 | 34 | 64 | 74 | 75 | 95 | 88 | 68 | 30 | 79 | 67 | 65 | 67 | 76 | 73 | 0 | 53 | 84 | 30 | 6,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 60 | 34 | 87 | 68 | 93 | 93 | 90 | 68 | 30 | 75 | 67 | 74 | 68 | 92 | 91 | 0 | 81 | 84 | 39 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 32 | 81 | 62 | 68 | 93 | 90 | 65 | 30 | 66 | 63 | 80 | 64 | 64 | 63 | 0 | 81 | 78 | 24 | 1,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 32 | 82 | 64 | 73 | 91 | 90 | 61 | 30 | 67 | 64 | 69 | 62 | 63 | 61 | 0 | 79 | 77 | 23 | 897,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.72 | 68 | 34 | 83 | 72 | 80 | 87 | 88 | 71 | 60 | 71 | 73 | 73 | 71 | 74 | 75 | 0 | 74 | 82 |
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 | 90 | 94 | 80 | 80 | 89 | 72 | 89 | 91 | 79 | 93 | 89 | 73 | 77 | 0 | 78 | 89 | 28 | 1,200,000$/2yrs |
![]() | 0 | 99.00 | 83 | 83 | 75 | 73 | 78 | 72 | 79 | 82 | 79 | 81 | 79 | 80 | 84 | 0 | 82 | 83 | 33 | 1,250,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 87 | 89 | 78 | 77 | 84 | 72 | 84 | 87 | 79 | 87 | 84 | 77 | 81 | 0 | 80 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 89 | 86 | 87 | 96 | 79 | 73 | 80 | CAN | 54 | 5 | 1,000,000$ |
General Manager | Dominic Dubé |
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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 | Filip Forsberg | 0 | LW | 52 | 27 | 32 | 59 | 28 | 38 | 0 | 98 | 265 | 71 | 222 | 10.19% | 11 | 19.66 | 6 | 7 | 13 | 180 | 0 | 0 | 0 | 0 | 6 | 1 | 36.25% | 80 | 0 | 0 | 0 | 0 | 1.15 | 2 | 4 | |
2 | Bo Horvat | 0 | C | 52 | 26 | 31 | 57 | 27 | 18 | 0 | 43 | 220 | 64 | 137 | 11.82% | 12 | 19.07 | 5 | 5 | 10 | 157 | 0 | 0 | 0 | 0 | 7 | 2 | 55.18% | 1236 | 0 | 0 | 0 | 0 | 1.15 | 4 | 5 | |
3 | Vincent Trocheck | 0 | C/RW | 52 | 14 | 41 | 55 | 4 | 45 | 5 | 124 | 201 | 52 | 156 | 6.97% | 14 | 20.28 | 3 | 21 | 24 | 176 | 0 | 0 | 0 | 86 | 2 | 3 | 56.29% | 1400 | 0 | 0 | 0 | 0 | 1.04 | 1 | 2 | |
4 | Tage Thompson | 0 | C/LW/RW | 51 | 19 | 32 | 51 | 26 | 22 | 0 | 70 | 195 | 65 | 143 | 9.74% | 3 | 20.42 | 6 | 10 | 16 | 181 | 0 | 0 | 0 | 37 | 3 | 2 | 46.76% | 278 | 0 | 0 | 0 | 1 | 0.98 | 0 | 3 | |
5 | MacKenzie Weegar | 0 | D | 52 | 7 | 35 | 42 | 24 | 78 | 0 | 130 | 123 | 40 | 80 | 5.69% | 84 | 23.89 | 4 | 8 | 12 | 181 | 0 | 0 | 0 | 157 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
6 | Jake Walman | 0 | D | 52 | 5 | 32 | 37 | -1 | 38 | 0 | 77 | 80 | 23 | 40 | 6.25% | 93 | 21.10 | 1 | 8 | 9 | 133 | 0 | 1 | 1 | 170 | 2 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.67 | 0 | 0 | |
7 | Brent Burns | 0 | D | 52 | 8 | 28 | 36 | 27 | 18 | 0 | 31 | 68 | 11 | 33 | 11.76% | 57 | 20.76 | 2 | 3 | 5 | 65 | 0 | 0 | 0 | 152 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
8 | Jordan Kyrou | 0 | LW/RW | 52 | 16 | 14 | 30 | 1 | 2 | 0 | 16 | 141 | 46 | 110 | 11.35% | 6 | 18.53 | 4 | 5 | 9 | 176 | 0 | 0 | 0 | 6 | 1 | 0 | 42.05% | 88 | 0 | 0 | 0 | 0 | 0.62 | 2 | 5 | |
9 | Cam York | 0 | D | 52 | 4 | 21 | 25 | 13 | 30 | 0 | 37 | 36 | 8 | 22 | 11.11% | 62 | 18.16 | 1 | 0 | 1 | 5 | 0 | 1 | 1 | 169 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
10 | Jamie Benn | 0 | C/LW | 52 | 11 | 7 | 18 | 2 | 53 | 15 | 64 | 115 | 25 | 80 | 9.57% | 9 | 19.50 | 2 | 1 | 3 | 150 | 0 | 0 | 0 | 115 | 2 | 2 | 60.47% | 86 | 0 | 0 | 0 | 0 | 0.35 | 0 | 1 | |
11 | Alex Wennberg | 0 | C | 52 | 9 | 8 | 17 | 2 | 12 | 0 | 35 | 79 | 25 | 51 | 11.39% | 23 | 15.51 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 224 | 2 | 1 | 54.30% | 1186 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
12 | Brandon Montour | 0 | D | 52 | 2 | 15 | 17 | -7 | 41 | 5 | 91 | 53 | 16 | 28 | 3.77% | 51 | 20.99 | 0 | 4 | 4 | 159 | 0 | 0 | 0 | 85 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
13 | Gabriel Vilardi | 0 | C/RW | 52 | 10 | 6 | 16 | 0 | 2 | 0 | 16 | 102 | 19 | 64 | 9.80% | 6 | 15.68 | 3 | 2 | 5 | 160 | 0 | 0 | 0 | 0 | 1 | 0 | 53.85% | 52 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
14 | Yegor Chinakhov | 0 | LW/RW | 52 | 10 | 6 | 16 | 2 | 12 | 0 | 53 | 84 | 19 | 50 | 11.90% | 7 | 11.09 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 0 | 2 | 1 | 40.00% | 60 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
15 | Travis Boyd | 72 | C/LW/RW | 52 | 4 | 3 | 7 | 4 | 10 | 0 | 6 | 43 | 9 | 21 | 9.30% | 3 | 5.64 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 30 | 0 | 0 | 45.68% | 81 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
16 | Ryker Evans | 0 | D | 33 | 1 | 6 | 7 | 0 | 38 | 0 | 49 | 17 | 1 | 7 | 5.88% | 20 | 14.61 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
17 | Kevin Stenlund | 0 | C/RW | 38 | 1 | 0 | 1 | 2 | 8 | 0 | 18 | 13 | 6 | 10 | 7.69% | 8 | 9.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 54.88% | 215 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | |
18 | Brett Howden | 0 | C/LW/RW | 18 | 0 | 0 | 0 | -1 | 2 | 0 | 13 | 10 | 4 | 14 | 0.00% | 2 | 6.79 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 13 | 0 | 0 | 12.50% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 868 | 174 | 317 | 491 | 153 | 467 | 25 | 971 | 1845 | 504 | 1268 | 9.43% | 471 | 17.27 | 37 | 74 | 111 | 1750 | 1 | 2 | 3 | 1409 | 33 | 14 | 53.88% | 4770 | 0 | 0 | 1 | 1 | 0.66 | 9 | 20 |
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 | Joey Daccord | 43 | 27 | 11 | 5 | 0.911 | 2.71 | 2593 | 6 | 1 | 117 | 1309 | 0 | 1 | 0 | 0.611 | 18 | 43 | 9 | 2 | 1 | 3 | |
2 | Casey DeSmith | 10 | 9 | 0 | 0 | 0.922 | 2.20 | 572 | 0 | 0 | 21 | 268 | 0 | 1 | 0 | 0.000 | 0 | 9 | 43 | 0 | 1 | 1 | |
Team Total or Average | 53 | 36 | 11 | 5 | 0.912 | 2.62 | 3166 | 6 | 1 | 138 | 1577 | 0 | 2 | 0 | 0.611 | 18 | 52 | 52 | 2 | 2 | 4 |
Projected Total Cap Hit | 87,321,019$ |
Projected Cap Space | 678,981$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 53,641,669$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Wennberg ![]() | C | 30 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Bo Horvat ![]() | C | 29 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA |
Brandon Montour ![]() | D | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Brent Burns ![]() | D | 39 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Brett Howden ![]() | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Cam York ![]() | D | 24 | 1,600,000$ | 1,600,000$ | RFA | ||||||
Casey DeSmith ![]() | G | 33 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Filip Forsberg ![]() | LW | 30 | 8,250,000$ | 8,250,000$ | UFA | ||||||
Gabriel Vilardi ![]() | C/RW | 25 | 3,400,000$ | 3,400,000$ | |||||||
Jake Walman ![]() | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Jamie Benn ![]() | C/LW | 35 | 9,500,000$ | 9,500,000$ | UFA | ||||||
Joey Daccord ![]() | G | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Jordan Kyrou ![]() | LW/RW | 26 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | UFA |
Kevin Stenlund ![]() | C/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
MacKenzie Weegar ![]() | D | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Ryker Evans ![]() | D | 23 | 897,500$ | 897,500$ | RFA | ||||||
Tage Thompson ![]() | C/LW/RW | 27 | 7,142,856$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | |
Travis Boyd ![]() | C/LW/RW | 31 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Vincent Trocheck ![]() | C/RW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Yegor Chinakhov ![]() | LW/RW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka ![]() | C | 25 | 0$ | ![]() | |||||||
Aku Raty ![]() | RW | 23 | 896,250$ | 896,250$ | RFA | ||||||
Albert Johansson ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Aleksi Heponiemi ![]() | C/RW | 26 | 0$ | ![]() | |||||||
Alex Steeves ![]() | C | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Andrew Poturalski ![]() | C/RW | 31 | 800,000$ | 800,000$ | UFA | ||||||
Brandon Coe ![]() | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ![]() | ||||
Brayden Pachal ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Caedan Bankier ![]() | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Cal Foote ![]() | D | 26 | 950,000$ | 950,000$ | ![]() | ||||||
Cal Petersen ![]() | G | 30 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Calum Ritchie ![]() | C | 20 | 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$ | ![]() | |||||
Drew Bavaro ![]() | D | 24 | 867,500$ | 867,500$ | 867,500$ | ![]() | |||||
Dryden Hunt ![]() | LW | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Eetu Tuulola ![]() | RW | 26 | 0$ | ![]() | |||||||
Gabriel Fortier ![]() | C | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Ivan Lodnia ![]() | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Jacob Peterson ![]() | C/LW | 25 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Jake Christiansen ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Jan Jenik ![]() | RW | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Laurent Dauphin ![]() | LW/RW | 29 | 780,000$ | 780,000$ | 780,000$ | UFA | |||||
Lauri Pajuniemi ![]() | RW | 25 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Lias Andersson ![]() | C | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Matt Nieto ![]() | LW/RW | 32 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Matthew Seminoff ![]() | RW | 21 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Maxim Groshev ![]() | LW | 23 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Michael Benning ![]() | D | 23 | 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$ | ![]() | |||||
Nick Perbix ![]() | D | 26 | 1,125,000$ | 1,125,000$ | ![]() | ||||||
Olle Eriksson Ek ![]() | G | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Philip Kemp ![]() | D | 26 | 0$ | ![]() | |||||||
Ruslan Iskhakov ![]() | C | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Trent Miner ![]() | G | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Victor Soderstrom ![]() | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Vinni Lettieri ![]() | C | 30 | 875,000$ | 875,000$ | 875,000$ | UFA | |||||
William Stromgren ![]() | LW | 21 | 990,833$ | 990,833$ | 990,833$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 5 | 4 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 1 | 2 | 6 | 0 | 77 | 23 | 29 | 24 | 1 | 59 | 16 | 14 | 36 | 11 | 4 | 36.36% | 7 | 2 | 71.43% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 49 | 34 | 47 | 16 | 24 | 13 | 62.5% | 11.7% | 91.5% | 103.2 | LUCKY | |
2 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 21 | 34 | 0 | 0 | 4 | 5 | 3 | 3 | 119 | 37 | 45 | 34 | 6 | 105 | 34 | 38 | 53 | 12 | 1 | 8.33% | 18 | 1 | 94.44% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 74 | 50 | 68 | 23 | 41 | 20 | 70.6% | 10.9% | 94.3% | 105.2 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 1 | 6 | 2 | 0 | 83 | 18 | 44 | 21 | 0 | 57 | 15 | 12 | 33 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 1 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 55 | 41 | 39 | 13 | 25 | 13 | 63.6% | 10.8% | 89.5% | 100.3 | FUN | |
4 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 8 | 5 | 6 | 1.000 | 13 | 22 | 35 | 0 | 0 | 3 | 4 | 5 | 1 | 114 | 42 | 32 | 34 | 6 | 76 | 24 | 29 | 59 | 10 | 2 | 20.00% | 12 | 2 | 83.33% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 86 | 63 | 61 | 20 | 36 | 19 | 64.7% | 11.4% | 89.5% | 100.9 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 40 | 18 | 10 | 12 | 0 | 35 | 10 | 10 | 22 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 23 | 16 | 24 | 7 | 11 | 5 | 40.0% | 7.5% | 88.6% | 96.1 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 33 | 9 | 9 | 15 | 0 | 27 | 3 | 12 | 18 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 21 | 14 | 26 | 7 | 12 | 6 | 50.0% | 12.1% | 88.9% | 101.0 | FUN | |
7 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.333 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 90 | 30 | 32 | 24 | 4 | 81 | 34 | 30 | 54 | 9 | 0 | 0.00% | 15 | 1 | 93.33% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 67 | 44 | 76 | 24 | 37 | 18 | 42.9% | 3.3% | 93.8% | 97.2 | DULL | |
8 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 6 | 1.000 | 12 | 23 | 35 | 0 | 1 | 6 | 4 | 2 | 0 | 99 | 33 | 44 | 22 | 0 | 88 | 31 | 24 | 65 | 7 | 3 | 42.86% | 12 | 2 | 83.33% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 68 | 46 | 72 | 22 | 39 | 19 | 75.0% | 12.1% | 94.3% | 106.4 | LUCKY | |
9 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 10 | 7 | 3 | 6 | 1.000 | 10 | 17 | 27 | 0 | 0 | 6 | 1 | 1 | 2 | 128 | 45 | 35 | 41 | 9 | 78 | 23 | 19 | 64 | 13 | 4 | 30.77% | 6 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 88 | 64 | 61 | 21 | 36 | 20 | 46.2% | 7.8% | 91.0% | 98.8 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 3 | 2 | 3 | 1 | 54 | 15 | 18 | 16 | 11 | 71 | 25 | 14 | 38 | 11 | 2 | 18.18% | 6 | 2 | 66.67% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 47 | 32 | 51 | 15 | 26 | 13 | 66.7% | 14.8% | 93.0% | 107.8 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 48 | 17 | 12 | 13 | 6 | 22 | 7 | 4 | 19 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 32 | 25 | 18 | 6 | 12 | 6 | 57.1% | 8.3% | 86.4% | 94.7 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 13 | 10 | 10 | 0 | 34 | 6 | 25 | 15 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 25 | 17 | 21 | 7 | 13 | 6 | 66.7% | 6.1% | 91.2% | 97.2 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 31 | 13 | 9 | 9 | 0 | 21 | 9 | 4 | 21 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 31 | 24 | 16 | 5 | 11 | 6 | 66.7% | 9.7% | 90.5% | 100.2 | FUN | |
14 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 1.000 | 12 | 23 | 35 | 0 | 0 | 5 | 3 | 4 | 0 | 97 | 43 | 32 | 22 | 0 | 84 | 22 | 34 | 49 | 12 | 2 | 16.67% | 16 | 3 | 81.25% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 71 | 48 | 69 | 23 | 39 | 19 | 71.4% | 12.4% | 91.7% | 104.0 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 44 | 15 | 16 | 13 | 0 | 64 | 22 | 20 | 33 | 9 | 2 | 22.22% | 9 | 3 | 66.67% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 40 | 26 | 54 | 15 | 25 | 11 | 33.3% | 11.4% | 85.9% | 97.3 | FUN | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 3 | 3 | 2 | 3 | 76 | 27 | 24 | 22 | 7 | 75 | 23 | 16 | 40 | 6 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 47 | 32 | 52 | 14 | 25 | 12 | 64.3% | 11.8% | 90.7% | 102.5 | FUN | |
17 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 7 | 16 | 11 | 1 | 23 | 9 | 4 | 12 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 26 | 19 | 22 | 7 | 12 | 5 | 40.0% | 5.7% | 87.0% | 92.7 | Unlucky | |
18 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 20 | 31 | 0 | 0 | 3 | 3 | 4 | 1 | 99 | 30 | 34 | 34 | 1 | 105 | 36 | 34 | 44 | 7 | 2 | 28.57% | 17 | 1 | 94.12% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 68 | 46 | 74 | 21 | 37 | 18 | 60.0% | 11.1% | 93.3% | 104.4 | LUCKY | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 57 | 22 | 19 | 16 | 0 | 74 | 16 | 12 | 31 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 47 | 32 | 45 | 14 | 27 | 13 | 37.5% | 8.8% | 91.9% | 100.7 | DULL | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 23 | 7 | 6 | 10 | 0 | 39 | 8 | 4 | 22 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 23 | 16 | 24 | 7 | 12 | 6 | 57.1% | 17.4% | 92.3% | 109.7 | LUCKY | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 30 | 14 | 5 | 11 | 0 | 17 | 5 | 8 | 22 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 26 | 17 | 21 | 7 | 12 | 5 | 33.3% | 6.7% | 82.4% | 89.0 | Unlucky | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 2 | 0 | 57 | 15 | 19 | 23 | 0 | 76 | 14 | 18 | 46 | 4 | 1 | 25.00% | 9 | 3 | 66.67% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 43 | 29 | 50 | 14 | 25 | 12 | 50.0% | 10.5% | 89.5% | 100.0 | FUN | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 2 | 5 | 3 | 0 | 64 | 26 | 16 | 22 | 0 | 55 | 17 | 18 | 33 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 48 | 34 | 46 | 15 | 25 | 12 | 66.7% | 15.6% | 90.9% | 106.5 | FUN | |
24 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 1 | 44 | 13 | 12 | 12 | 10 | 34 | 6 | 23 | 19 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 28 | 19 | 24 | 8 | 12 | 6 | 33.3% | 6.8% | 88.2% | 95.1 | Unlucky | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 4 | 1 | 0 | 76 | 17 | 33 | 26 | 0 | 54 | 18 | 10 | 42 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 45 | 31 | 50 | 13 | 24 | 12 | 60.0% | 7.9% | 92.6% | 100.5 | DULL | |
26 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 2 | 1 | 90 | 24 | 28 | 36 | 2 | 66 | 21 | 20 | 40 | 11 | 2 | 18.18% | 10 | 3 | 70.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 53 | 38 | 45 | 15 | 26 | 12 | 50.0% | 6.7% | 89.4% | 96.1 | Unlucky | |
27 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 37 | 11 | 6 | 16 | 4 | 36 | 8 | 10 | 25 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 26 | 18 | 23 | 7 | 13 | 6 | 25.0% | 5.4% | 91.7% | 97.1 | DULL | |
28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 45 | 17 | 16 | 12 | 0 | 21 | 12 | 2 | 25 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 28 | 20 | 18 | 7 | 13 | 6 | 60.0% | 8.9% | 90.5% | 99.4 | Unlucky | |
_Vs Division | 17 | 11 | 4 | 0 | 2 | 0 | 0 | 0 | 54 | 39 | 15 | 26 | 0.765 | 54 | 103 | 157 | 0 | 1 | 18 | 18 | 16 | 2 | 555 | 190 | 210 | 150 | 5 | 506 | 159 | 154 | 298 | 58 | 12 | 20.69% | 75 | 11 | 85.33% | 1 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 404 | 277 | 400 | 128 | 217 | 109 | 60.0% | 9.7% | 92.3% | 102.0 | LUCKY | |
_Vs Conference | 34 | 18 | 8 | 0 | 5 | 1 | 2 | 0 | 118 | 87 | 31 | 51 | 0.750 | 118 | 213 | 331 | 0 | 1 | 39 | 35 | 37 | 9 | 1213 | 403 | 417 | 369 | 29 | 1028 | 304 | 314 | 636 | 130 | 28 | 21.54% | 147 | 23 | 84.35% | 1 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 845 | 589 | 786 | 254 | 433 | 219 | 58.4% | 9.7% | 91.5% | 101.3 | LUCKY | |
_Since Last GM Reset | 52 | 27 | 11 | 0 | 6 | 3 | 3 | 2 | 180 | 140 | 40 | 77 | 0.740 | 180 | 315 | 495 | 0 | 1 | 61 | 53 | 57 | 15 | 1823 | 601 | 611 | 561 | 68 | 1577 | 474 | 468 | 980 | 204 | 38 | 18.63% | 205 | 34 | 83.41% | 1 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 1297 | 908 | 1210 | 388 | 661 | 334 | 57.3% | 9.9% | 91.1% | 101.0 | Unlucky | |
Total | 52 | 27 | 11 | 0 | 6 | 3 | 3 | 2 | 180 | 140 | 40 | 77 | 0.740 | 180 | 315 | 495 | 0 | 1 | 61 | 53 | 57 | 15 | 1823 | 601 | 611 | 561 | 68 | 1577 | 474 | 468 | 980 | 204 | 38 | 18.63% | 205 | 34 | 83.41% | 1 | 1093 | 1970 | 55.48% | 978 | 1777 | 55.04% | 428 | 790 | 54.18% | 1297 | 908 | 1210 | 388 | 661 | 334 | 57.3% | 9.9% | 91.1% | 101.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1970 |
Neutral Zone Start | 790 |
Defensive Zone Start | 1777 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2499 |
Faceoffs Lost | 2038 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 23.3 | 20.31 |
3rd Period | 34.1 | 30.68 |
Overtime | 35.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 141 |
---|---|
PP Goal | 38 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 21 | 15 |
Lost | 4 | 7 |
Overtime Lost | 5 | 0 |
PP Attempt | 204 |
---|---|
PP Goal | 38 |
PK Attempt | 205 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 35.1 |
Shots Against | 30.3 |
Goals For | 3.5 |
Goals Against | 2.7 |
Hits | 18.8 |
Shots Blocked | 9.1 |
Pim | 9.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Maple Leafs3,Canadiens0 | RECAP | |||||||||||
2024-10-12 | @ | Maple Leafs4,Devils3 (SO) | RECAP | |||||||||||
2024-10-14 | @ | Penguins4,Maple Leafs5 (OT) | RECAP | |||||||||||
2024-10-18 | @ | Kings3,Maple Leafs2 | RECAP | |||||||||||
2024-10-21 | @ | Rangers3,Maple Leafs4 | RECAP | |||||||||||
2024-10-23 | @ | Lightning3,Maple Leafs4 | RECAP | |||||||||||
2024-10-24 | @ | Maple Leafs2,Blue Jackets3 | RECAP | |||||||||||
2024-10-26 | @ | Blues3,Maple Leafs4 | RECAP | |||||||||||
2024-10-28 | @ | Maple Leafs5,Bruins4 (OT) | RECAP | |||||||||||
2024-10-30 | @ | Maple Leafs4,Jets2 | RECAP | |||||||||||
2024-11-02 | @ | Kraken2,Maple Leafs4 | RECAP | |||||||||||
2024-11-04 | @ | Maple Leafs5,Blues4 (SO) | RECAP | |||||||||||
2024-11-05 | @ | Maple Leafs5,Wild1 | RECAP | |||||||||||
2024-11-07 | @ | Bruins2,Maple Leafs3 | RECAP | |||||||||||
2024-11-10 | @ | Red Wings2,Maple Leafs1 | RECAP | |||||||||||
2024-11-11 | @ | Canadiens2,Maple Leafs5 | RECAP | |||||||||||
2024-11-14 | @ | Senators5,Maple Leafs6 | RECAP | |||||||||||
2024-11-15 | @ | Maple Leafs5,Capitals4 | RECAP | |||||||||||
2024-11-18 | @ | Oilers4,Maple Leafs3 | RECAP | |||||||||||
2024-11-22 | @ | Golden Knights3,Maple Leafs2 (OT) | RECAP | |||||||||||
2024-11-26 | @ | Hockey Club3,Maple Leafs2 (OT) | RECAP | |||||||||||
2024-11-29 | @ | Maple Leafs2,Panthers3 | RECAP | |||||||||||
2024-12-02 | @ | Maple Leafs4,Lightning2 | RECAP | |||||||||||
2024-12-04 | @ | Blackhawks3,Maple Leafs4 | RECAP | |||||||||||
2024-12-06 | @ | Predators2,Maple Leafs3 | RECAP | |||||||||||
2024-12-08 | @ | Capitals1,Maple Leafs2 (SO) | RECAP | |||||||||||
2024-12-09 | @ | Maple Leafs1,Penguins3 | RECAP | |||||||||||
2024-12-12 | @ | Maple Leafs5,Devils2 | RECAP | |||||||||||
2024-12-14 | @ | Ducks4,Maple Leafs3 (SO) | RECAP | |||||||||||
2024-12-16 | @ | Maple Leafs2,Red Wings1 (OT) | RECAP | |||||||||||
2024-12-17 | @ | Sabres2,Maple Leafs3 | RECAP | |||||||||||
2024-12-20 | @ | Maple Leafs3,Stars2 | RECAP | |||||||||||
2024-12-22 | @ | Maple Leafs2,Sabres4 | RECAP | |||||||||||
2024-12-23 | @ | Islanders1,Maple Leafs4 | RECAP | |||||||||||
2024-12-25 | @ | Jets3,Maple Leafs6 | RECAP | |||||||||||
2024-12-29 | @ | Maple Leafs0,Red Wings2 | RECAP | |||||||||||
2024-12-30 | @ | Capitals2,Maple Leafs3 (OT) | RECAP | |||||||||||
2025-01-02 | @ | Islanders3,Maple Leafs4 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Maple Leafs5,Islanders4 | RECAP | |||||||||||
2025-01-06 | @ | Bruins1,Maple Leafs3 | RECAP | |||||||||||
2025-01-07 | @ | Flyers4,Maple Leafs3 (OT) | RECAP | |||||||||||
2025-01-09 | @ | Maple Leafs6,Flyers1 | RECAP | |||||||||||
2025-01-11 | @ | Maple Leafs3,Hurricanes4 | RECAP | |||||||||||
2025-01-13 | @ | Canucks3,Maple Leafs4 (OT) | RECAP | |||||||||||
2025-01-16 | @ | Stars2,Maple Leafs3 | RECAP | |||||||||||
2025-01-18 | @ | Devils1,Maple Leafs4 | RECAP | |||||||||||
2025-01-20 | @ | Maple Leafs4,Canadiens3 | RECAP | |||||||||||
2025-01-22 | @ | Lightning2,Maple Leafs4 | RECAP | |||||||||||
2025-01-24 | @ | Blue Jackets5,Maple Leafs4 | RECAP | |||||||||||
2025-01-27 | @ | Maple Leafs3,Senators1 | RECAP | |||||||||||
2025-01-31 | @ | Wild4,Maple Leafs3 (SO) | RECAP | |||||||||||
2025-02-03 | @ | Maple Leafs2,Oilers5 | RECAP | |||||||||||
2025-02-06 | @ | |||||||||||||
2025-02-08 | @ | |||||||||||||
2025-02-10 | @ | |||||||||||||
2025-02-24 | @ | |||||||||||||
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2025-03-04 | @ | |||||||||||||
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2025-03-07 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-03-12 | @ | |||||||||||||
2025-03-15 | @ | |||||||||||||
2025-03-17 | @ | |||||||||||||
2025-03-19 | @ | |||||||||||||
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2025-04-07 | @ | |||||||||||||
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2025-04-11 | @ | |||||||||||||
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2025-04-19 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
88,865,357$ | 0$ | 87,321,019$ | -865,357$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Scotiabank Arena | |
City | Toronto | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 173721 | 145842 | 58157 | 116121 | 28538 |
Attendance PCT | 96.51% | 97.23% | 96.93% | 96.77% | 95.13% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
11 | 17413 - 96.74% | 1,593,312$ | 47,799,360$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
88,865,357$ | 88,865,356$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
54,783,745$ | 449,058$ | 53,641,669$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
17,526,432$ | 75 | 458,497$ | 34,387,275$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
35,523,278$ | 88,865,357$ | 82,805,707$ | 64,808,861$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Antonin Verreault | 2022 | 87 | |||
Ayrton Martino | 2021 | 43 | |||
Blake Montgomery | 2024 | 127 | |||
Brent Johnson | 2021 | 62 | |||
Carter George | 2024 | 71 | |||
Gabriel Eliasson | 2024 | 67 | |||
Gavin Hodnett | 2024 | 217 | |||
Heikki Ruohonen | 2024 | 123 | |||
Hugo Zetterlund | 2024 | 218 | |||
Ian Moore | 2020 | 139 | |||
Ilya Nazarov | 2021 | 197 | |||
Jack Pridham | 2024 | 101 | |||
Jackson Hallum | 2020 | 117 | |||
Jacob Cederholm | |||||
Jeremy Hanzel | 2023 | 176 | |||
John Whipple | 2024 | 124 | |||
Kaden Hammell | 2023 | 168 | |||
Kirill Slepets | 2019 | 108 | |||
Leon Muggli | 2024 | 75 | |||
Ludwig Persson | 2022 | 93 | |||
Mats Lindgren | 2022 | 41 | |||
Max Plante | 2024 | 66 | |||
Mikhail Ilyin | 2023 | 165 | |||
Noah Beck | |||||
Radovan Bondra | 3.5 - 2.5 | ||||
Ruben Rafkin | 2020 | 92 | |||
Spencer Sova | 2022 | 221 | |||
Tyler Muszelik | 2022 | 161 |
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