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Full Scoreboard »» |
Toronto Maple Leafs 57-18-5, 119pts · 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 | 91 | 91 | 30 | 8,250,000$/6yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 32 | 82 | 83 | 69 | 88 | 89 | 79 | 86 | 79 | 84 | 72 | 81 | 71 | 78 | 0 | 83 | 88 | 27 | 9,750,000$/8yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 37 | 81 | 83 | 91 | 86 | 88 | 81 | 79 | 77 | 86 | 64 | 83 | 70 | 68 | 0 | 77 | 88 | 27 | 7,142,856$/6yrs | |||
![]() | 0 | C/RW | 100.00 | 77 | 35 | 77 | 75 | 71 | 91 | 90 | 78 | 93 | 82 | 75 | 83 | 76 | 78 | 76 | 0 | 92 | 87 | 31 | 6,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 64 | 35 | 87 | 78 | 82 | 89 | 90 | 77 | 92 | 73 | 83 | 70 | 80 | 75 | 91 | 0 | 91 | 86 | 30 | 8,000,000$/7yrs | |||
![]() | 0 | C/LW | 99.00 | 70 | 38 | 84 | 73 | 81 | 81 | 90 | 75 | 85 | 77 | 76 | 71 | 75 | 85 | 99 | 0 | 89 | 86 | 35 | 9,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 65 | 32 | 84 | 73 | 70 | 91 | 87 | 75 | 84 | 84 | 66 | 83 | 71 | 80 | 88 | 0 | 86 | 85 | 33 | 5,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 33 | 95 | 75 | 80 | 81 | 82 | 70 | 56 | 66 | 74 | 66 | 72 | 64 | 64 | 0 | 91 | 80 | 24 | 2,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 60 | 37 | 87 | 74 | 69 | 83 | 88 | 67 | 61 | 69 | 73 | 54 | 70 | 62 | 62 | 0 | 82 | 78 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 78 | 33 | 84 | 68 | 81 | 80 | 90 | 63 | 64 | 57 | 74 | 75 | 68 | 70 | 68 | 0 | 66 | 77 | 27 | 1,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 37 | 87 | 64 | 81 | 77 | 88 | 65 | 79 | 67 | 67 | 64 | 66 | 69 | 67 | 0 | 83 | 76 | 26 | 1,300,000$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 34 | 79 | 56 | 86 | 76 | 86 | 58 | 82 | 55 | 63 | 77 | 60 | 72 | 70 | 0 | 87 | 72 | 28 | 1,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 68 | 33 | 68 | 76 | 85 | 94 | 88 | 76 | 30 | 78 | 57 | 90 | 66 | 74 | 71 | 0 | 91 | 87 | 29 | 3,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 34 | 85 | 71 | 86 | 97 | 84 | 72 | 30 | 77 | 66 | 85 | 69 | 84 | 94 | 0 | 88 | 87 | 35 | 8,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 81 | 36 | 78 | 68 | 79 | 94 | 90 | 69 | 30 | 72 | 73 | 86 | 71 | 77 | 75 | 0 | 87 | 85 | 31 | 6,000,000$/7yrs | |||
![]() | 0 | D | 100.00 | 59 | 33 | 90 | 58 | 77 | 87 | 90 | 68 | 30 | 60 | 50 | 89 | 63 | 83 | 93 | 0 | 51 | 78 | 35 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 32 | 81 | 62 | 68 | 93 | 90 | 65 | 30 | 66 | 63 | 80 | 64 | 64 | 63 | 0 | 91 | 78 | 24 | 1,600,000$/3yrs | |||
![]() | 0 | D | 100.00 | 96 | 54 | 67 | 55 | 88 | 82 | 86 | 59 | 30 | 62 | 56 | 72 | 57 | 84 | 80 | 0 | 78 | 76 | 35 | 1,250,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 74 | 38 | 82 | 60 | 69 | 74 | 89 | 60 | 76 | 60 | 61 | 75 | 61 | 67 | 65 | 0 | 19 | 73 | 25 | 1,250,000$/1yrs | |||
TEAM AVERAGE | 99.79 | 70 | 36 | 82 | 70 | 79 | 86 | 88 | 70 | 62 | 71 | 70 | 75 | 70 | 74 | 77 | 0 | 80 | 82 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 90 | 95 | 83 | 80 | 93 | 77 | 93 | 94 | 90 | 96 | 93 | 74 | 78 | 0 | 85 | 92 | 28 | 1,200,000$/2yrs |
![]() | 0 | 99.00 | 84 | 78 | 73 | 73 | 85 | 78 | 85 | 86 | 82 | 88 | 85 | 82 | 85 | 0 | 93 | 86 | 33 | 1,250,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 87 | 87 | 78 | 77 | 89 | 78 | 89 | 90 | 86 | 92 | 89 | 78 | 82 | 0 | 89 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 89 | 86 | 87 | 96 | 79 | 73 | 80 | CAN | 54 | 5 | 1,000,000$ |
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 | Vincent Trocheck | 0 | C/RW | 80 | 29 | 55 | 84 | 20 | 79 | 15 | 180 | 315 | 79 | 220 | 9.21% | 21 | 19.32 | 5 | 27 | 32 | 274 | 0 | 0 | 0 | 136 | 7 | 5 | 56.49% | 2050 | 0 | 0 | 0 | 0 | 1.09 | 1 | 2 | |
2 | Filip Forsberg | 0 | LW | 80 | 37 | 46 | 83 | 40 | 50 | 0 | 154 | 395 | 121 | 307 | 9.37% | 12 | 19.36 | 8 | 12 | 20 | 281 | 0 | 0 | 0 | 2 | 10 | 2 | 40.95% | 105 | 0 | 0 | 0 | 0 | 1.07 | 2 | 4 | |
3 | John Carlson | 0 | D | 80 | 17 | 59 | 76 | 21 | 77 | 5 | 111 | 174 | 53 | 114 | 9.77% | 112 | 23.09 | 14 | 18 | 32 | 302 | 0 | 0 | 0 | 186 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | |
4 | Bo Horvat | 0 | C | 80 | 36 | 38 | 74 | 23 | 32 | 0 | 65 | 306 | 92 | 219 | 11.76% | 13 | 18.58 | 8 | 7 | 15 | 238 | 0 | 0 | 0 | 0 | 9 | 2 | 56.68% | 1812 | 0 | 0 | 0 | 0 | 1.00 | 4 | 5 | |
5 | Sebastian Aho | 0 | C/LW | 78 | 34 | 40 | 74 | 32 | 24 | 0 | 86 | 349 | 95 | 245 | 9.74% | 14 | 21.32 | 4 | 10 | 14 | 270 | 0 | 1 | 1 | 36 | 7 | 2 | 53.61% | 692 | 0 | 0 | 0 | 0 | 0.89 | 3 | 6 | |
6 | Mikael Granlund | 0 | C/LW/RW | 80 | 24 | 49 | 73 | 39 | 25 | 5 | 94 | 235 | 63 | 168 | 10.21% | 24 | 21.80 | 3 | 11 | 14 | 219 | 1 | 0 | 1 | 286 | 6 | 3 | 51.63% | 767 | 0 | 0 | 0 | 0 | 0.84 | 0 | 1 | |
7 | Tage Thompson | 0 | C/LW/RW | 79 | 25 | 42 | 67 | 23 | 34 | 0 | 96 | 300 | 94 | 223 | 8.33% | 3 | 19.88 | 9 | 12 | 21 | 279 | 0 | 0 | 0 | 37 | 4 | 3 | 45.60% | 318 | 0 | 0 | 0 | 1 | 0.85 | 0 | 3 | |
8 | MacKenzie Weegar | 0 | D | 80 | 11 | 46 | 57 | 31 | 135 | 5 | 203 | 171 | 59 | 117 | 6.43% | 118 | 23.12 | 7 | 11 | 18 | 259 | 0 | 0 | 0 | 234 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
9 | Jake Walman | 0 | D | 80 | 9 | 47 | 56 | 6 | 66 | 0 | 140 | 118 | 32 | 72 | 7.63% | 136 | 21.58 | 2 | 11 | 13 | 212 | 0 | 1 | 1 | 255 | 2 | 0 | 0.00% | 0 | 0 | 0 | 2 | 0 | 0.65 | 0 | 0 | |
10 | Cam York | 0 | D | 80 | 6 | 32 | 38 | 19 | 34 | 0 | 56 | 60 | 13 | 36 | 10.00% | 91 | 18.41 | 2 | 0 | 2 | 11 | 0 | 2 | 2 | 269 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
11 | Jamie Benn | 0 | C/LW | 80 | 15 | 14 | 29 | 11 | 62 | 20 | 93 | 160 | 42 | 107 | 9.38% | 11 | 18.45 | 2 | 3 | 5 | 223 | 0 | 0 | 0 | 182 | 2 | 3 | 58.97% | 195 | 0 | 0 | 0 | 0 | 0.39 | 0 | 1 | |
12 | Yegor Chinakhov | 0 | LW/RW | 80 | 13 | 12 | 25 | 1 | 14 | 0 | 73 | 122 | 33 | 80 | 10.66% | 10 | 12.16 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 0 | 3 | 1 | 43.16% | 95 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
13 | Christopher Tanev | 0 | D | 81 | 1 | 23 | 24 | -5 | 24 | 0 | 79 | 53 | 18 | 35 | 1.89% | 137 | 20.37 | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 327 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
14 | Morgan Geekie | 0 | C/RW | 78 | 8 | 6 | 14 | 8 | 12 | 0 | 41 | 64 | 23 | 53 | 12.50% | 7 | 8.58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 51.88% | 638 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
15 | Luke Schenn | 0 | D | 32 | 3 | 5 | 8 | 6 | 42 | 0 | 77 | 9 | 5 | 7 | 33.33% | 27 | 15.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
16 | Matthew Coronato | 0 | RW | 65 | 2 | 5 | 7 | 2 | 8 | 0 | 15 | 54 | 11 | 51 | 3.70% | 1 | 8.13 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 37.14% | 35 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
17 | Connor Dewar | 0 | LW | 55 | 4 | 1 | 5 | 1 | 4 | 0 | 26 | 33 | 3 | 27 | 12.12% | 2 | 6.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 46.43% | 28 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
18 | Brett Howden | 0 | C/LW/RW | 46 | 2 | 2 | 4 | -2 | 14 | 0 | 25 | 34 | 13 | 34 | 5.88% | 5 | 6.35 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 30 | 1 | 0 | 35.48% | 31 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
19 | Kevin Stenlund | 0 | C/RW | 66 | 1 | 0 | 1 | 2 | 31 | 5 | 29 | 30 | 8 | 26 | 3.33% | 11 | 9.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 269 | 0 | 0 | 52.33% | 386 | 0 | 0 | 0 | 0 | 0.03 | 0 | 0 | |
Team Total or Average | 1380 | 277 | 522 | 799 | 278 | 767 | 55 | 1643 | 2982 | 857 | 2141 | 9.29% | 755 | 17.01 | 64 | 123 | 187 | 2622 | 1 | 4 | 5 | 2306 | 61 | 23 | 54.05% | 7152 | 0 | 0 | 2 | 1 | 0.68 | 10 | 22 |
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 | 67 | 44 | 18 | 5 | 0.914 | 2.50 | 4002 | 12 | 1 | 167 | 1942 | 0 | 2 | 0 | 0.611 | 18 | 67 | 13 | 4 | 2 | 5 | |
2 | Casey DeSmith | 15 | 13 | 0 | 0 | 0.923 | 2.11 | 853 | 0 | 1 | 30 | 390 | 0 | 2 | 0 | 0.000 | 0 | 13 | 67 | 1 | 1 | 1 | |
Team Total or Average | 82 | 57 | 18 | 5 | 0.916 | 2.44 | 4855 | 12 | 2 | 197 | 2332 | 0 | 4 | 0 | 0.611 | 18 | 80 | 80 | 5 | 3 | 6 |
Projected Total Cap Hit | 87,645,359$ |
Projected Cap Space | 354,641$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 86,284,370$ |
Players In Salary Cap | 22 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bo Horvat ![]() | C | 30 | 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 |
Brett Howden ![]() | C/LW/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Cam York ![]() | D | 24 | 1,600,000$ | 1,600,000$ | 4,500,000$ | 4,500,000$ | |||||
Casey DeSmith ![]() | G | 33 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Christopher Tanev ![]() | D | 35 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Connor Dewar ![]() | LW | 25 | 1,250,000$ | 1,250,000$ | |||||||
Filip Forsberg ![]() | LW | 30 | 8,250,000$ | 8,250,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |
Jake Walman ![]() | D | 29 | 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 | |||||
John Carlson ![]() | D | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Kevin Stenlund ![]() | C/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Luke Schenn ![]() | D | 35 | 1,250,000$ | 1,250,000$ | 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 |
Matthew Coronato ![]() | RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Mikael Granlund ![]() | C/LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||
Morgan Geekie ![]() | C/RW | 26 | 1,300,000$ | 1,300,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||
Sebastian Aho ![]() | C/LW | 27 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ |
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 | |
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$ | ![]() | ||||||
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 | 27 | 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$ | ![]() | ||||||
Jagger Firkus ![]() | RW | 20 | 891,667$ | 891,667$ | 891,667$ | 891,667$ | RFA | ||||
Jake Christiansen ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Jan Jenik ![]() | RW | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Josh Doan ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Laurent Dauphin ![]() | LW/RW | 30 | 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$ | ![]() | |||||
Oliver Kapanen ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Olle Eriksson Ek ![]() | G | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Philip Kemp ![]() | D | 26 | 0$ | ![]() | |||||||
Ruslan Iskhakov ![]() | C | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Ryker Evans ![]() | D | 23 | 897,500$ | 897,500$ | RFA | ||||||
Travis Boyd ![]() | C/LW/RW | 31 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Trent Miner ![]() | G | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Victor Soderstrom ![]() | D | 24 | 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 | |||||
Zack Ostapchuk ![]() | C | 21 | 825,000$ | 825,000$ | 825,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 5 | 1 | 1 | 0 | 56 | 24 | 20 | 12 | 0 | 55 | 16 | 16 | 32 | 6 | 2 | 33.33% | 7 | 0 | 100.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 52 | 38 | 43 | 15 | 24 | 12 | 62.5% | 12.5% | 94.5% | 107.0 | LUCKY | |
2 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 6 | 7 | 5 | 0.833 | 13 | 25 | 38 | 0 | 0 | 1 | 4 | 8 | 0 | 118 | 39 | 45 | 33 | 1 | 84 | 22 | 18 | 58 | 17 | 4 | 23.53% | 9 | 3 | 66.67% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 77 | 54 | 67 | 23 | 37 | 19 | 75.0% | 11.0% | 92.9% | 103.9 | LUCKY | |
3 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 74 | 50 | 68 | 23 | 41 | 20 | 70.6% | 10.9% | 94.3% | 105.2 | LUCKY | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 1 | 6 | 3 | 0 | 119 | 28 | 59 | 32 | 0 | 87 | 31 | 22 | 46 | 12 | 2 | 16.67% | 11 | 3 | 72.73% | 1 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 79 | 58 | 62 | 20 | 37 | 20 | 61.5% | 8.4% | 90.8% | 99.2 | Unlucky | |
5 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 86 | 63 | 61 | 20 | 36 | 19 | 64.7% | 11.4% | 89.5% | 100.9 | FUN | |
6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 16 | 25 | 0 | 0 | 5 | 3 | 1 | 0 | 99 | 39 | 30 | 30 | 0 | 93 | 20 | 33 | 59 | 10 | 3 | 30.00% | 13 | 3 | 76.92% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 71 | 50 | 72 | 22 | 36 | 17 | 46.2% | 9.1% | 89.2% | 98.3 | FUN | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 4 | 1 | 0 | 74 | 30 | 14 | 30 | 0 | 33 | 10 | 26 | 34 | 10 | 2 | 20.00% | 12 | 3 | 75.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 56 | 41 | 41 | 13 | 22 | 12 | 66.7% | 8.1% | 84.8% | 93.0 | Unlucky | |
8 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 6 | 1.000 | 12 | 23 | 35 | 0 | 0 | 4 | 4 | 4 | 0 | 100 | 30 | 34 | 36 | 0 | 87 | 18 | 20 | 80 | 14 | 6 | 42.86% | 10 | 1 | 90.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 71 | 51 | 73 | 21 | 34 | 17 | 54.5% | 12.0% | 93.1% | 105.1 | LUCKY | |
9 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 67 | 44 | 76 | 24 | 37 | 18 | 42.9% | 3.3% | 93.8% | 97.2 | DULL | |
10 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 5 | 9 | 8 | 1.000 | 14 | 27 | 41 | 0 | 2 | 6 | 5 | 3 | 0 | 136 | 41 | 56 | 39 | 0 | 111 | 37 | 30 | 85 | 9 | 3 | 33.33% | 15 | 2 | 86.67% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 92 | 63 | 95 | 29 | 52 | 26 | 78.6% | 10.3% | 95.5% | 105.8 | LUCKY | |
11 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 88 | 64 | 61 | 21 | 36 | 20 | 46.2% | 7.8% | 91.0% | 98.8 | Unlucky | |
12 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 47 | 32 | 51 | 15 | 26 | 13 | 66.7% | 14.8% | 93.0% | 107.8 | LUCKY | |
13 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 2 | 1 | 93 | 29 | 29 | 29 | 6 | 40 | 15 | 6 | 45 | 11 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 63 | 47 | 35 | 13 | 25 | 13 | 66.7% | 8.6% | 90.0% | 98.6 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 66 | 22 | 17 | 27 | 0 | 53 | 11 | 35 | 42 | 7 | 1 | 14.29% | 10 | 4 | 60.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 49 | 34 | 44 | 15 | 26 | 13 | 80.0% | 7.6% | 90.6% | 98.1 | Unlucky | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 0 | 5 | 0 | 64 | 22 | 18 | 24 | 0 | 47 | 16 | 16 | 35 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 1 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 56 | 41 | 39 | 12 | 24 | 12 | 87.5% | 12.5% | 93.6% | 106.1 | LUCKY | |
16 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 9 | 7 | 8 | 1.000 | 16 | 31 | 47 | 0 | 0 | 5 | 5 | 6 | 0 | 133 | 58 | 40 | 35 | 0 | 114 | 25 | 40 | 71 | 18 | 3 | 16.67% | 19 | 4 | 78.95% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 97 | 66 | 90 | 30 | 51 | 26 | 72.2% | 12.0% | 92.1% | 104.1 | LUCKY | |
17 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 40 | 26 | 54 | 15 | 25 | 11 | 33.3% | 11.4% | 85.9% | 97.3 | FUN | |
18 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 47 | 32 | 52 | 14 | 25 | 12 | 64.3% | 11.8% | 90.7% | 102.5 | FUN | |
19 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 61 | 16 | 28 | 16 | 1 | 62 | 13 | 10 | 22 | 8 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 50 | 35 | 46 | 15 | 25 | 12 | 37.5% | 4.9% | 90.3% | 95.2 | Unlucky | |
20 | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 15 | 10 | 5 | 8 | 1.000 | 15 | 28 | 43 | 0 | 0 | 3 | 5 | 5 | 2 | 136 | 38 | 47 | 49 | 2 | 128 | 42 | 36 | 61 | 11 | 2 | 18.18% | 17 | 1 | 94.12% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 94 | 65 | 95 | 27 | 50 | 25 | 59.1% | 11.0% | 92.2% | 103.2 | LUCKY | |
21 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 47 | 32 | 45 | 14 | 27 | 13 | 37.5% | 8.8% | 91.9% | 100.7 | DULL | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 0 | 3 | 0 | 58 | 16 | 21 | 21 | 0 | 70 | 14 | 14 | 44 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 49 | 34 | 44 | 13 | 26 | 13 | 60.0% | 12.1% | 94.3% | 106.4 | LUCKY | |
23 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.500 | 12 | 22 | 34 | 0 | 0 | 0 | 8 | 4 | 0 | 121 | 38 | 45 | 38 | 0 | 84 | 31 | 43 | 76 | 20 | 3 | 15.00% | 18 | 1 | 94.44% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 109 | 77 | 83 | 29 | 47 | 23 | 56.3% | 9.9% | 90.5% | 100.4 | FUN | |
24 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 4 | 1 | 2 | 0 | 80 | 30 | 24 | 26 | 0 | 113 | 28 | 28 | 70 | 5 | 1 | 20.00% | 14 | 4 | 71.43% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 63 | 42 | 78 | 21 | 38 | 18 | 35.3% | 8.8% | 86.7% | 95.5 | Unlucky | |
25 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 48 | 34 | 46 | 15 | 25 | 12 | 66.7% | 15.6% | 90.9% | 106.5 | FUN | |
26 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 3 | 2 | 77 | 21 | 27 | 21 | 11 | 58 | 14 | 30 | 38 | 14 | 3 | 21.43% | 5 | 1 | 80.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 51 | 35 | 51 | 15 | 24 | 12 | 41.7% | 10.4% | 86.2% | 96.6 | FUN | |
27 | 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 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 45 | 31 | 50 | 13 | 24 | 12 | 60.0% | 7.9% | 92.6% | 100.5 | DULL | |
28 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 4 | 3 | 4 | 1 | 123 | 37 | 33 | 51 | 2 | 92 | 32 | 24 | 59 | 16 | 3 | 18.75% | 12 | 3 | 75.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 77 | 55 | 69 | 22 | 38 | 18 | 56.3% | 9.8% | 89.1% | 98.9 | FUN | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 63 | 14 | 24 | 25 | 0 | 58 | 12 | 47 | 31 | 11 | 2 | 18.18% | 13 | 1 | 92.31% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 47 | 32 | 47 | 14 | 24 | 11 | 33.3% | 4.8% | 94.8% | 99.6 | DULL | |
30 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 6 | 11 | 0 | 0 | 1 | 1 | 2 | 1 | 72 | 22 | 13 | 27 | 10 | 69 | 16 | 18 | 53 | 5 | 1 | 20.00% | 8 | 0 | 100.00% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 53 | 36 | 47 | 15 | 26 | 12 | 44.4% | 6.9% | 92.8% | 99.7 | DULL | |
31 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 2 | 1 | 91 | 31 | 31 | 26 | 3 | 61 | 23 | 36 | 39 | 9 | 2 | 22.22% | 8 | 1 | 87.50% | 0 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 54 | 37 | 44 | 16 | 26 | 13 | 62.5% | 7.7% | 93.4% | 101.1 | DULL | |
_Vs Division | 24 | 15 | 6 | 0 | 3 | 0 | 0 | 0 | 75 | 51 | 24 | 36 | 0.750 | 75 | 143 | 218 | 0 | 2 | 18 | 31 | 23 | 3 | 792 | 255 | 298 | 233 | 6 | 679 | 216 | 213 | 424 | 89 | 15 | 16.85% | 100 | 13 | 87.00% | 1 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 588 | 408 | 550 | 177 | 303 | 154 | 61.2% | 9.5% | 92.5% | 102.0 | LUCKY | |
_Vs Conference | 48 | 27 | 12 | 0 | 6 | 1 | 2 | 0 | 164 | 119 | 45 | 71 | 0.740 | 164 | 299 | 463 | 0 | 2 | 49 | 56 | 51 | 10 | 1673 | 554 | 576 | 518 | 30 | 1407 | 417 | 422 | 926 | 186 | 39 | 20.97% | 194 | 30 | 84.54% | 1 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 1200 | 841 | 1103 | 353 | 603 | 305 | 58.4% | 9.8% | 91.5% | 101.3 | LUCKY | |
_Since Last GM Reset | 80 | 44 | 18 | 0 | 10 | 3 | 3 | 2 | 269 | 199 | 70 | 119 | 0.744 | 269 | 473 | 742 | 0 | 2 | 83 | 88 | 85 | 19 | 2762 | 901 | 925 | 875 | 79 | 2332 | 682 | 754 | 1527 | 318 | 60 | 18.87% | 313 | 51 | 83.71% | 2 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 2012 | 1413 | 1842 | 590 | 1006 | 509 | 58.5% | 9.7% | 91.5% | 101.2 | LUCKY | |
Total | 80 | 44 | 18 | 0 | 10 | 3 | 3 | 2 | 269 | 199 | 70 | 119 | 0.744 | 269 | 473 | 742 | 0 | 2 | 83 | 88 | 85 | 19 | 2762 | 901 | 925 | 875 | 79 | 2332 | 682 | 754 | 1527 | 318 | 60 | 18.87% | 313 | 51 | 83.71% | 2 | 1715 | 3050 | 56.23% | 1462 | 2650 | 55.17% | 643 | 1212 | 53.05% | 2012 | 1413 | 1842 | 590 | 1006 | 509 | 58.5% | 9.7% | 91.5% | 101.2 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3050 |
Neutral Zone Start | 1212 |
Defensive Zone Start | 2650 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3820 |
Faceoffs Lost | 3092 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 33.8 | 30.68 |
Overtime | 34.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 207 |
---|---|
PP Goal | 60 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 27 | 30 |
Lost | 8 | 10 |
Overtime Lost | 5 | 0 |
PP Attempt | 318 |
---|---|
PP Goal | 60 |
PK Attempt | 313 |
PK Goal Against | 51 |
Home | |
---|---|
Shots For | 34.5 |
Shots Against | 29.2 |
Goals For | 3.4 |
Goals Against | 2.5 |
Hits | 19.1 |
Shots Blocked | 8.5 |
Pim | 9.4 |
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 | @ | Maple Leafs4,Flames1 | RECAP | |||||||||||
2025-02-08 | @ | Maple Leafs3,Kraken2 (OT) | RECAP | |||||||||||
2025-02-10 | @ | Maple Leafs4,Canucks1 | RECAP | |||||||||||
2025-02-24 | @ | Hurricanes5,Maple Leafs4 | RECAP | |||||||||||
2025-02-25 | @ | Maple Leafs3,Blackhawks1 | RECAP | |||||||||||
2025-02-27 | @ | Maple Leafs4,Bruins3 (OT) | RECAP | |||||||||||
2025-03-02 | @ | Maple Leafs5,Rangers1 | RECAP | |||||||||||
2025-03-04 | @ | Maple Leafs6,Penguins3 | RECAP | |||||||||||
2025-03-05 | @ | Sharks1,Maple Leafs2 | RECAP | |||||||||||
2025-03-07 | @ | Maple Leafs3,Golden Knights2 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Maple Leafs4,Avalanche2 | RECAP | |||||||||||
2025-03-12 | @ | Maple Leafs1,Hockey Club3 | RECAP | |||||||||||
2025-03-15 | @ | Panthers2,Maple Leafs4 | RECAP | |||||||||||
2025-03-17 | @ | Senators2,Maple Leafs1 | RECAP | |||||||||||
2025-03-19 | @ | Flames2,Maple Leafs3 | RECAP | |||||||||||
2025-03-21 | @ | Avalanche3,Maple Leafs2 | RECAP | |||||||||||
2025-03-22 | @ | Maple Leafs3,Rangers2 | RECAP | |||||||||||
2025-03-24 | @ | Maple Leafs5,Predators1 | RECAP | |||||||||||
2025-03-27 | @ | Flyers1,Maple Leafs4 | RECAP | |||||||||||
2025-03-29 | @ | Maple Leafs1,Sharks2 | RECAP | |||||||||||
2025-03-31 | @ | Maple Leafs3,Kings2 | RECAP | |||||||||||
2025-04-01 | @ | Maple Leafs5,Ducks4 (OT) | RECAP | |||||||||||
2025-04-04 | @ | Panthers1,Maple Leafs6 | RECAP | |||||||||||
2025-04-07 | @ | Blue Jackets7,Maple Leafs1 | RECAP | |||||||||||
2025-04-10 | @ | Maple Leafs0,Panthers2 | RECAP | |||||||||||
2025-04-11 | @ | Maple Leafs4,Lightning2 | RECAP | |||||||||||
2025-04-14 | @ | Canadiens0,Maple Leafs2 | RECAP | |||||||||||
2025-04-15 | @ | Maple Leafs2,Hurricanes1 | RECAP | |||||||||||
2025-04-17 | @ | |||||||||||||
2025-04-19 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
89,767,857$ | 0$ | 87,645,359$ | -1,767,857$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 231451 | 195416 | 78014 | 155627 | 38209 |
Attendance PCT | 96.44% | 97.71% | 97.52% | 97.27% | 95.52% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 17468 - 97.04% | 1,596,823$ | 63,872,929$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
89,767,857$ | 89,767,856$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
88,106,010$ | 453,663$ | 86,284,370$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,596,823$ | 3 | 463,101$ | 1,389,303$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,389,303$ | 89,767,857$ | 64,330,684$ | 64,538,204$ |
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 |
---|---|---|---|---|---|
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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