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Toronto Maple Leafs 32-19-4, 68pts · 5th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 75 | 44 | 64 | 81 | 77 | 73 | 89 | 82 | 91 | 78 | 81 | 64 | 75 | 60 | 60 | 77 | 50 | 0 | 20 | 894,167$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 42 | 86 | 82 | 68 | 81 | 97 | 83 | 81 | 79 | 76 | 81 | 25 | 71 | 75 | 78 | 50 | 0 | 28 | 5,100,000$/5yrs | |||
![]() | 0 | LW | 100.00 | 69 | 52 | 73 | 82 | 64 | 80 | 99 | 71 | 38 | 86 | 83 | 80 | 25 | 66 | 68 | 81 | 50 | 0 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 41 | 93 | 78 | 70 | 65 | 88 | 63 | 34 | 61 | 72 | 82 | 53 | 58 | 58 | 72 | 50 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 87 | 46 | 78 | 83 | 75 | 85 | 95 | 99 | 88 | 81 | 87 | 80 | 53 | 70 | 72 | 86 | 50 | 0 | 26 | 5,250,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 56 | 81 | 80 | 87 | 77 | 78 | 85 | 44 | 78 | 75 | 65 | 53 | 58 | 58 | 75 | 50 | 0 | 19 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 53 | 75 | 87 | 62 | 83 | 85 | 86 | 41 | 81 | 89 | 74 | 35 | 71 | 71 | 84 | 50 | 0 | 26 | 5,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 78 | 83 | 68 | 78 | 93 | 90 | 34 | 84 | 85 | 65 | 55 | 71 | 73 | 81 | 50 | 0 | 27 | 7,875,000$/6yrs | |||
![]() | 0 | C/RW | 100.00 | 82 | 45 | 86 | 79 | 74 | 74 | 99 | 81 | 93 | 70 | 71 | 82 | 25 | 75 | 78 | 76 | 50 | 0 | 29 | 2,875,143$/3yrs | |||
![]() | 0 | RW | 100.00 | 73 | 43 | 91 | 83 | 72 | 78 | 99 | 87 | 25 | 87 | 85 | 67 | 85 | 66 | 68 | 82 | 50 | 0 | 24 | 7,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 84 | 45 | 90 | 79 | 69 | 66 | 93 | 66 | 87 | 65 | 66 | 85 | 75 | 81 | 85 | 73 | 50 | 0 | 32 | 2,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 65 | 43 | 90 | 95 | 82 | 75 | 94 | 84 | 85 | 81 | 87 | 70 | 45 | 68 | 70 | 82 | 50 | 0 | 26 | 8,450,000$/8yrs | |||
![]() | 0 | D | 100.00 | 67 | 52 | 77 | 82 | 69 | 86 | 91 | 91 | 25 | 69 | 53 | 80 | 25 | 63 | 64 | 69 | 50 | 0 | 24 | 1,700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 88 | 83 | 72 | 76 | 69 | 77 | 25 | 68 | 48 | 76 | 25 | 51 | 51 | 66 | 50 | 0 | 19 | 918,333$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 52 | 84 | 81 | 69 | 79 | 85 | 71 | 25 | 61 | 48 | 77 | 25 | 50 | 50 | 64 | 50 | 0 | 19 | 918,333$/3yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 83 | 73 | 70 | 77 | 82 | 74 | 25 | 56 | 48 | 68 | 25 | 47 | 47 | 62 | 50 | 0 | 21 | 897,500$/2yrs | |||
![]() | 0 | D | 99.00 | 71 | 44 | 73 | 84 | 86 | 91 | 94 | 90 | 25 | 81 | 60 | 82 | 65 | 85 | 93 | 75 | 50 | 0 | 32 | 7,875,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 52 | 84 | 82 | 68 | 81 | 87 | 62 | 25 | 62 | 48 | 91 | 25 | 67 | 69 | 66 | 50 | 0 | 26 | 4,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 82 | 59 | 76 | 74 | 84 | 76 | 79 | 64 | 25 | 50 | 47 | 95 | 25 | 69 | 72 | 64 | 50 | 0 | 30 | 3,500,000$/7yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 96 | 83 | 77 | 81 | 96 | 65 | 25 | 68 | 49 | 91 | 53 | 75 | 78 | 69 | 50 | 0 | 29 | 5,300,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.95 | 74 | 47 | 82 | 82 | 73 | 78 | 90 | 79 | 47 | 72 | 68 | 78 | 44 | 66 | 68 | 74 | 50 | 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 76 | 70 | 68 | 69 | 75 | 77 | 76 | 77 | 81 | 76 | 81 | 57 | 57 | 76 | 50 | 0 | 29 | 1,100,000$/2yrs |
![]() | 0 | 100.00 | 83 | 76 | 72 | 77 | 86 | 80 | 77 | 82 | 85 | 83 | 75 | 52 | 52 | 81 | 50 | 0 | 27 | 1,200,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 69 | 65 | 66 | 80 | 78 | 59 | 69 | 70 | 69 | 68 | 90 | 70 | 71 | 69 | 50 | 0 | 33 | 875,000$/1yrs |
TEAM AVERAGE | 99.67 | 76 | 70 | 69 | 75 | 80 | 72 | 74 | 76 | 78 | 76 | 82 | 60 | 60 | 75 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 99 | 97 | 86 | 66 | 65 | 56 | 69 | 68 | 25 | 64 | 71 | 64 | 25 | 45 | 45 | 71 | 68 | 0 | 20 | 841,667$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 72 | 99 | 64 | 72 | 47 | 48 | 44 | 55 | 38 | 44 | 62 | 42 | 44 | 44 | 52 | 68 | 0 | 19 | 845,833$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 74 | 75 | 73 | 68 | 75 | 78 | 82 | 64 | 80 | 57 | 68 | 64 | 65 | 44 | 44 | 67 | 68 | 0 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 64 | 73 | 76 | 64 | 69 | 71 | 62 | 50 | 60 | 60 | 60 | 57 | 44 | 44 | 63 | 68 | 0 | 20 | 863,333$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 75 | 75 | 64 | 75 | 55 | 53 | 64 | 80 | 59 | 65 | 65 | 62 | 44 | 44 | 65 | 68 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 64 | 86 | 73 | 64 | 73 | 75 | 65 | 80 | 57 | 69 | 63 | 66 | 44 | 44 | 68 | 68 | 0 | 19 | 918,333$/3yrs | |||
![]() | 0 | RW | 100.00 | 68 | 63 | 78 | 78 | 63 | 83 | 88 | 64 | 50 | 63 | 61 | 62 | 58 | 46 | 47 | 65 | 68 | 0 | 23 | 775,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 70 | 80 | 77 | 70 | 64 | 70 | 45 | 58 | 56 | 53 | 59 | 42 | 60 | 61 | 54 | 68 | 0 | 23 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 57 | 84 | 76 | 67 | 63 | 79 | 64 | 61 | 63 | 57 | 78 | 25 | 60 | 61 | 66 | 68 | 0 | 23 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 77 | 80 | 66 | 77 | 73 | 80 | 48 | 25 | 38 | 42 | 62 | 40 | 44 | 44 | 54 | 68 | 0 | 23 | 828,333$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 73 | 99 | 67 | 73 | 33 | 31 | 41 | 25 | 28 | 39 | 62 | 37 | 44 | 44 | 49 | 68 | 0 | 20 | 916,667$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 64 | 69 | 65 | 64 | 56 | 57 | 53 | 25 | 51 | 41 | 57 | 39 | 44 | 44 | 52 | 68 | 0 | 21 | 903,333$/3yrs | |||
![]() | 0 | D | 100.00 | 74 | 69 | 86 | 69 | 69 | 56 | 56 | 56 | 25 | 52 | 46 | 62 | 44 | 44 | 44 | 57 | 68 | 0 | 20 | 894,167$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 61 | 56 | 55 | 84 | 65 | 56 | 69 | 62 | 65 | 61 | 78 | 48 | 48 | 62 | 68 | 0 | 22 | 850,833$/1yrs | ||||||
![]() | 0 | 100.00 | 52 | 52 | 65 | 80 | 52 | 52 | 50 | 56 | 51 | 51 | 30 | 44 | 44 | 52 | 68 | 0 | 24 | 775,000$/1yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Francois Beaulieu |
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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 | Joel Eriksson Ek | 0 | C | 55 | 20 | 39 | 59 | 5 | 49 | 5 | 101 | 191 | 63 | 122 | 10.47% | 23 | 19.78 | 1 | 7 | 8 | 104 | 0 | 0 | 0 | 11 | 3 | 0 | 51.15% | 1306 | 38 | 22 | 0 | 0 | 1.08 | 0 | 0 | ||
2 | Kevin Fiala | 0 | LW/RW | 55 | 21 | 28 | 49 | 4 | 38 | 10 | 91 | 172 | 59 | 110 | 12.21% | 21 | 19.48 | 4 | 3 | 7 | 104 | 0 | 0 | 0 | 0 | 2 | 2 | 37.33% | 75 | 33 | 18 | 0 | 0 | 0.91 | 1 | 2 | ||
3 | Roope Hintz | 0 | C | 55 | 16 | 31 | 47 | -11 | 2 | 0 | 54 | 169 | 51 | 107 | 9.47% | 17 | 15.83 | 7 | 17 | 24 | 124 | 0 | 0 | 0 | 0 | 5 | 2 | 55.05% | 792 | 57 | 13 | 0 | 0 | 1.08 | 0 | 0 | ||
4 | Jason Robertson | 0 | RW | 55 | 20 | 26 | 46 | 5 | 6 | 0 | 74 | 160 | 53 | 83 | 12.50% | 31 | 19.41 | 3 | 2 | 5 | 104 | 0 | 0 | 0 | 0 | 3 | 0 | 26.67% | 60 | 34 | 18 | 0 | 0 | 0.86 | 1 | 7 | ||
5 | Travis Konecny | 0 | LW/RW | 55 | 17 | 23 | 40 | -12 | 57 | 15 | 96 | 155 | 74 | 96 | 10.97% | 14 | 15.90 | 8 | 11 | 19 | 122 | 0 | 0 | 0 | 0 | 3 | 2 | 37.78% | 45 | 45 | 17 | 0 | 0 | 0.91 | 0 | 0 | ||
6 | Victor Hedman | 0 | D | 55 | 8 | 25 | 33 | 1 | 85 | 15 | 88 | 95 | 35 | 31 | 8.42% | 83 | 26.10 | 6 | 7 | 13 | 140 | 0 | 2 | 2 | 105 | 1 | 0 | 0.00% | 0 | 20 | 41 | 0 | 0 | 0.46 | 1 | 3 | ||
7 | J.T Compher | 0 | C/RW | 55 | 15 | 12 | 27 | 7 | 8 | 0 | 54 | 136 | 29 | 77 | 11.03% | 19 | 14.58 | 1 | 0 | 1 | 9 | 1 | 0 | 1 | 166 | 3 | 0 | 66.67% | 36 | 27 | 15 | 1 | 1 | 0.67 | 0 | 0 | ||
8 | Mason McTavish | 0 | C/LW | 55 | 6 | 19 | 25 | 5 | 45 | 5 | 66 | 116 | 40 | 61 | 5.17% | 13 | 12.47 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 60 | 1 | 1 | 39.53% | 43 | 28 | 11 | 0 | 0 | 0.73 | 1 | 7 | ||
9 | Juraj Slafkovsky | 0 | LW/RW | 55 | 8 | 16 | 24 | 1 | 15 | 5 | 59 | 82 | 23 | 42 | 9.76% | 6 | 8.19 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 7 | 2 | 0 | 33.33% | 3 | 23 | 6 | 0 | 0 | 1.07 | 0 | 0 | ||
10 | Brandon Hagel | 0 | LW | 55 | 13 | 10 | 23 | -8 | 42 | 0 | 80 | 64 | 21 | 37 | 20.31% | 21 | 17.19 | 6 | 3 | 9 | 124 | 0 | 0 | 0 | 40 | 2 | 0 | 40.43% | 47 | 14 | 11 | 0 | 0 | 0.49 | 0 | 0 | ||
11 | Colton Sissons | 0 | C/RW | 55 | 10 | 9 | 19 | 5 | 17 | 5 | 66 | 64 | 30 | 43 | 15.63% | 24 | 14.11 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 167 | 1 | 0 | 56.81% | 558 | 6 | 17 | 0 | 0 | 0.49 | 0 | 0 | ||
12 | Casey Cizikas | 0 | C | 55 | 7 | 7 | 14 | 2 | 0 | 0 | 55 | 60 | 25 | 39 | 11.67% | 8 | 9.22 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 78 | 2 | 0 | 59.06% | 149 | 14 | 8 | 0 | 0 | 0.55 | 0 | 7 | ||
13 | Sean Durzi | 0 | D | 55 | 1 | 11 | 12 | -2 | 54 | 10 | 76 | 84 | 29 | 32 | 1.19% | 78 | 24.85 | 0 | 3 | 3 | 143 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 17 | 45 | 0 | 0 | 0.18 | 0 | 0 | ||
14 | Jaccob Slavin | 0 | D | 55 | 2 | 10 | 12 | 0 | 0 | 0 | 45 | 51 | 23 | 15 | 3.92% | 65 | 21.46 | 1 | 0 | 1 | 93 | 0 | 0 | 0 | 187 | 0 | 0 | 0.00% | 0 | 7 | 41 | 0 | 0 | 0.20 | 0 | 0 | ||
15 | John Marino | 0 | D | 55 | 0 | 8 | 8 | 4 | 18 | 0 | 38 | 32 | 15 | 19 | 0.00% | 74 | 19.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 176 | 0 | 0 | 0.00% | 0 | 4 | 44 | 0 | 0 | 0.15 | 0 | 0 | ||
16 | Simon Holmstrom | 0 | RW | 55 | 5 | 2 | 7 | 2 | 0 | 0 | 17 | 51 | 8 | 21 | 9.80% | 10 | 9.21 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 75 | 1 | 1 | 15.38% | 13 | 5 | 8 | 0 | 0 | 0.28 | 0 | 0 | ||
17 | Scott Mayfield | 0 | D | 55 | 1 | 6 | 7 | 5 | 21 | 5 | 62 | 33 | 9 | 17 | 3.03% | 36 | 14.26 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 110 | 0 | 0 | 0.00% | 0 | 1 | 25 | 0 | 0 | 0.18 | 0 | 0 | ||
18 | Pavel Mintyukov | 0 | D | 55 | 1 | 5 | 6 | -3 | 14 | 0 | 41 | 25 | 8 | 11 | 4.00% | 36 | 14.43 | 0 | 2 | 2 | 90 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 4 | 22 | 0 | 0 | 0.15 | 0 | 0 | ||
19 | Simon Nemec | 0 | D | 55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0.50 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Ryker Evans | 0 | D | 55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.10 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1100 | 171 | 287 | 458 | 10 | 471 | 75 | 1163 | 1740 | 595 | 963 | 9.83% | 580 | 14.81 | 37 | 56 | 93 | 1186 | 3 | 5 | 8 | 1222 | 29 | 8 | 52.22% | 3127 | 377 | 382 | 1 | 1 | 0.56 | 4 | 26 |
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 | Charlie Lindgren | 31 | 18 | 7 | 1 | 0.910 | 2.76 | 1652 | 0 | 0 | 76 | 845 | 422 | 3 | 0 | 0.882 | 17 | 26 | 29 | 3 | 1 | 3 | |
2 | Joey Daccord | 30 | 14 | 12 | 3 | 0.900 | 2.96 | 1682 | 2 | 1 | 83 | 831 | 396 | 4 | 1 | 0.429 | 7 | 29 | 26 | 4 | 2 | 0 | |
Team Total or Average | 61 | 32 | 19 | 4 | 0.905 | 2.86 | 3334 | 2 | 1 | 159 | 1676 | 818 | 7 | 1 | 0.750 | 24 | 55 | 55 | 7 | 3 | 3 |
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 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 6 | 1.000 | 8 | 14 | 22 | 0 | 1 | 2 | 3 | 3 | 0 | 90 | 34 | 31 | 25 | 0 | 86 | 21 | 24 | 71 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 65 | 38 | 62 | 27 | 52 | 25 | 80.0% | 8.9% | 97.7% | 106.6 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 4 | 13 | 9 | 0 | 31 | 11 | 10 | 21 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 19 | 11 | 22 | 8 | 17 | 7 | 25.0% | 3.8% | 87.1% | 90.9 | Unlucky | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 3 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 101 | 41 | 38 | 22 | 3 | 106 | 29 | 24 | 73 | 6 | 2 | 33.33% | 12 | 1 | 91.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 67 | 40 | 65 | 27 | 52 | 24 | 30.0% | 5.0% | 92.5% | 97.4 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 11 | 16 | 10 | 0 | 27 | 9 | 8 | 30 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 23 | 15 | 19 | 9 | 16 | 7 | 33.3% | 2.7% | 92.6% | 95.3 | DULL | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 4 | 0 | 94 | 33 | 20 | 41 | 0 | 94 | 25 | 8 | 57 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 67 | 40 | 63 | 24 | 49 | 25 | 47.4% | 10.6% | 88.3% | 98.9 | FUN | |
6 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 10 | 2 | 5 | 0.833 | 12 | 19 | 31 | 0 | 0 | 5 | 4 | 3 | 0 | 97 | 27 | 29 | 41 | 3 | 101 | 35 | 28 | 58 | 10 | 3 | 30.00% | 13 | 2 | 84.62% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 66 | 39 | 64 | 28 | 53 | 25 | 52.9% | 12.4% | 90.1% | 102.5 | FUN | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 3 | 2 | 56 | 19 | 15 | 21 | 5 | 62 | 25 | 25 | 36 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 45 | 26 | 43 | 18 | 35 | 17 | 66.7% | 12.5% | 93.5% | 106.0 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 65 | 15 | 16 | 34 | 0 | 50 | 23 | 12 | 37 | 3 | 2 | 66.67% | 6 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 42 | 24 | 41 | 18 | 36 | 16 | 60.0% | 12.3% | 92.0% | 104.3 | LUCKY | |
9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 4 | 0.667 | 14 | 24 | 38 | 0 | 0 | 5 | 8 | 1 | 0 | 98 | 30 | 41 | 27 | 0 | 98 | 30 | 30 | 71 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 68 | 42 | 61 | 24 | 50 | 25 | 68.4% | 14.3% | 91.8% | 106.1 | LUCKY | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 13 | 21 | 1 | 0 | 3 | 4 | 1 | 0 | 96 | 33 | 34 | 29 | 0 | 86 | 43 | 31 | 54 | 12 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 70 | 41 | 60 | 26 | 49 | 25 | 53.3% | 8.3% | 88.4% | 96.7 | Unlucky | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 73 | 22 | 21 | 30 | 0 | 51 | 17 | 15 | 45 | 13 | 3 | 23.08% | 5 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 46 | 26 | 37 | 17 | 35 | 19 | 62.5% | 11.0% | 94.1% | 105.1 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.750 | 9 | 14 | 23 | 0 | 0 | 1 | 5 | 3 | 0 | 56 | 10 | 29 | 17 | 5 | 70 | 32 | 16 | 53 | 7 | 3 | 42.86% | 8 | 2 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 46 | 27 | 42 | 17 | 35 | 18 | 46.2% | 16.1% | 87.1% | 103.2 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 55 | 18 | 18 | 19 | 0 | 59 | 21 | 24 | 38 | 3 | 0 | 0.00% | 12 | 2 | 83.33% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 41 | 24 | 42 | 19 | 35 | 16 | 41.7% | 9.1% | 84.7% | 93.8 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 35 | 12 | 6 | 17 | 0 | 29 | 8 | 4 | 26 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 20 | 11 | 22 | 8 | 16 | 7 | 66.7% | 11.4% | 93.1% | 104.5 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 3 | 2 | 4 | 0 | 74 | 31 | 18 | 25 | 0 | 64 | 14 | 21 | 42 | 9 | 3 | 33.33% | 8 | 2 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 45 | 26 | 41 | 17 | 33 | 16 | 50.0% | 12.2% | 87.5% | 99.7 | FUN | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 68 | 16 | 26 | 26 | 0 | 60 | 22 | 39 | 51 | 5 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 50 | 31 | 35 | 17 | 34 | 17 | 36.4% | 5.9% | 88.3% | 94.2 | Unlucky | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 63 | 16 | 30 | 17 | 0 | 60 | 25 | 13 | 35 | 9 | 2 | 22.22% | 4 | 1 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 46 | 27 | 39 | 15 | 34 | 19 | 50.0% | 9.5% | 91.7% | 101.2 | LUCKY | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 13 | 8 | 13 | 0 | 36 | 16 | 8 | 17 | 4 | 2 | 50.00% | 4 | 2 | 50.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 21 | 12 | 23 | 8 | 15 | 7 | 12.5% | 8.8% | 75.0% | 83.8 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 4 | 1 | 3 | 0 | 61 | 22 | 17 | 22 | 0 | 75 | 23 | 6 | 42 | 6 | 3 | 50.00% | 3 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 41 | 22 | 44 | 17 | 34 | 17 | 45.5% | 13.1% | 92.0% | 105.1 | LUCKY | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 25 | 14 | 9 | 2 | 0 | 23 | 13 | 21 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 22 | 12 | 20 | 9 | 17 | 8 | 100.0% | 12.0% | 95.7% | 107.7 | LUCKY | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 23 | 21 | 8 | 0 | 48 | 21 | 29 | 44 | 6 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 39 | 21 | 45 | 19 | 35 | 16 | 57.1% | 7.7% | 87.5% | 95.2 | Unlucky | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 59 | 24 | 20 | 14 | 4 | 56 | 23 | 15 | 41 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 48 | 29 | 41 | 17 | 35 | 18 | 25.0% | 3.4% | 87.5% | 90.9 | Unlucky | |
23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 0 | 1 | 36 | 18 | 11 | 6 | 1 | 33 | 9 | 6 | 26 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 23 | 16 | 21 | 7 | 15 | 7 | 60.0% | 11.1% | 90.9% | 102.0 | FUN | |
24 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 1.000 | 13 | 21 | 34 | 0 | 0 | 3 | 4 | 6 | 0 | 86 | 28 | 27 | 31 | 0 | 80 | 29 | 24 | 64 | 14 | 5 | 35.71% | 12 | 1 | 91.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 67 | 38 | 58 | 28 | 54 | 27 | 66.7% | 15.1% | 93.8% | 108.9 | LUCKY | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 37 | 6 | 14 | 17 | 0 | 28 | 12 | 6 | 14 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 22 | 14 | 21 | 8 | 16 | 7 | 66.7% | 8.1% | 96.4% | 104.5 | DULL | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 29 | 5 | 11 | 13 | 5 | 27 | 10 | 10 | 15 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 20 | 10 | 24 | 11 | 19 | 9 | 60.0% | 13.8% | 88.9% | 102.7 | FUN | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 9 | 10 | 16 | 0 | 32 | 7 | 4 | 18 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 5.7% | 87.5% | 93.2 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 8 | 14 | 8 | 0 | 38 | 8 | 2 | 17 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 23 | 14 | 21 | 8 | 15 | 8 | 20.0% | 3.3% | 89.5% | 92.8 | Unlucky | |
29 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 10 | 18 | 0 | 0 | 1 | 2 | 4 | 1 | 72 | 33 | 23 | 16 | 3 | 67 | 19 | 10 | 45 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 49 | 29 | 41 | 17 | 34 | 18 | 40.0% | 11.1% | 86.6% | 97.7 | FUN | |
_Vs Division | 17 | 10 | 4 | 0 | 0 | 0 | 0 | 3 | 50 | 41 | 9 | 23 | 0.676 | 50 | 85 | 135 | 0 | 1 | 18 | 23 | 9 | 0 | 533 | 186 | 198 | 148 | 10 | 530 | 176 | 155 | 371 | 40 | 8 | 20.00% | 49 | 8 | 83.67% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 383 | 230 | 356 | 150 | 294 | 147 | 56.0% | 9.4% | 92.3% | 101.6 | LUCKY | |
_Vs Conference | 34 | 18 | 11 | 0 | 0 | 0 | 2 | 3 | 108 | 98 | 10 | 43 | 0.632 | 108 | 181 | 289 | 1 | 1 | 35 | 42 | 29 | 3 | 1044 | 357 | 348 | 337 | 20 | 1049 | 368 | 291 | 694 | 92 | 21 | 22.83% | 108 | 19 | 82.41% | 2 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 757 | 448 | 717 | 304 | 589 | 293 | 52.4% | 10.3% | 90.7% | 101.0 | FUN | |
_Since Last GM Reset | 55 | 28 | 19 | 0 | 1 | 0 | 3 | 4 | 174 | 164 | 10 | 68 | 0.618 | 174 | 287 | 461 | 1 | 1 | 50 | 67 | 53 | 5 | 1740 | 575 | 586 | 576 | 29 | 1677 | 580 | 473 | 1163 | 152 | 37 | 24.34% | 179 | 29 | 83.80% | 3 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 1233 | 731 | 1151 | 490 | 951 | 472 | 50.4% | 10.0% | 90.2% | 100.2 | FUN | |
Total | 55 | 28 | 19 | 0 | 1 | 0 | 3 | 4 | 174 | 164 | 10 | 68 | 0.618 | 174 | 287 | 461 | 1 | 1 | 50 | 67 | 53 | 5 | 1740 | 575 | 586 | 576 | 29 | 1677 | 580 | 473 | 1163 | 152 | 37 | 24.34% | 179 | 29 | 83.80% | 3 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 1233 | 731 | 1151 | 490 | 951 | 472 | 50.4% | 10.0% | 90.2% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1144 |
Neutral Zone Start | 787 |
Defensive Zone Start | 1181 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1633 |
Faceoffs Lost | 1479 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 32.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 133 |
---|---|
PP Goal | 37 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 17 | 15 |
Lost | 12 | 7 |
Overtime Lost | 1 | 3 |
PP Attempt | 152 |
---|---|
PP Goal | 37 |
PK Attempt | 179 |
PK Goal Against | 29 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 30.5 |
Goals For | 3.2 |
Goals Against | 3.0 |
Hits | 21.1 |
Shots Blocked | 10.5 |
Pim | 8.6 |
Projected Total Cap Hit | 78,191,809$ |
Projected Cap Space | 5,308,191$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 51,064,064$ |
Players In Salary Cap | 23 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Hagel ![]() | LW | 25 | 1,500,000$ | 1,500,000$ | |||||||
Casey Cizikas ![]() | C | 32 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
Charlie Lindgren ![]() | G | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Colton Sissons ![]() | C/RW | 29 | 2,875,143$ | 2,875,143$ | 2,875,143$ | 2,875,143$ | |||||
J.T Compher ![]() | C/RW | 28 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | |||
Jaccob Slavin ![]() | D | 29 | 5,300,000$ | 5,300,000$ | 5,300,000$ | ||||||
Jason Robertson ![]() | RW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | |||||
Joel Eriksson Ek ![]() | C | 26 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||
Joey Daccord ![]() | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
John Marino ![]() | D | 26 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | ||||
Juraj Slafkovsky ![]() | LW/RW | 19 | 950,000$ | 950,000$ | 950,000$ | ||||||
Kevin Fiala ![]() | LW/RW | 27 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | ||
Martin Jones ![]() | G | 33 | 875,000$ | 875,000$ | |||||||
Mason McTavish ![]() | C/LW | 20 | 894,167$ | 894,167$ | 894,167$ | ||||||
Pavel Mintyukov ![]() | D | 19 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | |||||
Roope Hintz ![]() | C | 26 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ |
Ryker Evans ![]() | D | 21 | 897,500$ | 897,500$ | 897,500$ | ||||||
Scott Mayfield ![]() | D | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |
Sean Durzi ![]() | D | 24 | 1,700,000$ | 1,700,000$ | |||||||
Simon Holmstrom ![]() | RW | 22 | 863,333$ | 863,333$ | |||||||
Simon Nemec ![]() | D | 19 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | |||||
Travis Konecny ![]() | LW/RW | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
Victor Hedman ![]() | D | 32 | 7,875,000$ | 7,875,000$ | 7,875,000$ |
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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 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 6 | 1.000 | 8 | 14 | 22 | 0 | 1 | 2 | 3 | 3 | 0 | 90 | 34 | 31 | 25 | 0 | 86 | 21 | 24 | 71 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 65 | 38 | 62 | 27 | 52 | 25 | 80.0% | 8.9% | 97.7% | 106.6 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 4 | 13 | 9 | 0 | 31 | 11 | 10 | 21 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 19 | 11 | 22 | 8 | 17 | 7 | 25.0% | 3.8% | 87.1% | 90.9 | Unlucky | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 3 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 101 | 41 | 38 | 22 | 3 | 106 | 29 | 24 | 73 | 6 | 2 | 33.33% | 12 | 1 | 91.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 67 | 40 | 65 | 27 | 52 | 24 | 30.0% | 5.0% | 92.5% | 97.4 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 11 | 16 | 10 | 0 | 27 | 9 | 8 | 30 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 23 | 15 | 19 | 9 | 16 | 7 | 33.3% | 2.7% | 92.6% | 95.3 | DULL | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 4 | 0 | 94 | 33 | 20 | 41 | 0 | 94 | 25 | 8 | 57 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 67 | 40 | 63 | 24 | 49 | 25 | 47.4% | 10.6% | 88.3% | 98.9 | FUN | |
6 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 10 | 2 | 5 | 0.833 | 12 | 19 | 31 | 0 | 0 | 5 | 4 | 3 | 0 | 97 | 27 | 29 | 41 | 3 | 101 | 35 | 28 | 58 | 10 | 3 | 30.00% | 13 | 2 | 84.62% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 66 | 39 | 64 | 28 | 53 | 25 | 52.9% | 12.4% | 90.1% | 102.5 | FUN | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 3 | 2 | 56 | 19 | 15 | 21 | 5 | 62 | 25 | 25 | 36 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 45 | 26 | 43 | 18 | 35 | 17 | 66.7% | 12.5% | 93.5% | 106.0 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 65 | 15 | 16 | 34 | 0 | 50 | 23 | 12 | 37 | 3 | 2 | 66.67% | 6 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 42 | 24 | 41 | 18 | 36 | 16 | 60.0% | 12.3% | 92.0% | 104.3 | LUCKY | |
9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 4 | 0.667 | 14 | 24 | 38 | 0 | 0 | 5 | 8 | 1 | 0 | 98 | 30 | 41 | 27 | 0 | 98 | 30 | 30 | 71 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 68 | 42 | 61 | 24 | 50 | 25 | 68.4% | 14.3% | 91.8% | 106.1 | LUCKY | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 13 | 21 | 1 | 0 | 3 | 4 | 1 | 0 | 96 | 33 | 34 | 29 | 0 | 86 | 43 | 31 | 54 | 12 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 70 | 41 | 60 | 26 | 49 | 25 | 53.3% | 8.3% | 88.4% | 96.7 | Unlucky | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 73 | 22 | 21 | 30 | 0 | 51 | 17 | 15 | 45 | 13 | 3 | 23.08% | 5 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 46 | 26 | 37 | 17 | 35 | 19 | 62.5% | 11.0% | 94.1% | 105.1 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.750 | 9 | 14 | 23 | 0 | 0 | 1 | 5 | 3 | 0 | 56 | 10 | 29 | 17 | 5 | 70 | 32 | 16 | 53 | 7 | 3 | 42.86% | 8 | 2 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 46 | 27 | 42 | 17 | 35 | 18 | 46.2% | 16.1% | 87.1% | 103.2 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 55 | 18 | 18 | 19 | 0 | 59 | 21 | 24 | 38 | 3 | 0 | 0.00% | 12 | 2 | 83.33% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 41 | 24 | 42 | 19 | 35 | 16 | 41.7% | 9.1% | 84.7% | 93.8 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 35 | 12 | 6 | 17 | 0 | 29 | 8 | 4 | 26 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 20 | 11 | 22 | 8 | 16 | 7 | 66.7% | 11.4% | 93.1% | 104.5 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 3 | 2 | 4 | 0 | 74 | 31 | 18 | 25 | 0 | 64 | 14 | 21 | 42 | 9 | 3 | 33.33% | 8 | 2 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 45 | 26 | 41 | 17 | 33 | 16 | 50.0% | 12.2% | 87.5% | 99.7 | FUN | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 68 | 16 | 26 | 26 | 0 | 60 | 22 | 39 | 51 | 5 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 50 | 31 | 35 | 17 | 34 | 17 | 36.4% | 5.9% | 88.3% | 94.2 | Unlucky | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 63 | 16 | 30 | 17 | 0 | 60 | 25 | 13 | 35 | 9 | 2 | 22.22% | 4 | 1 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 46 | 27 | 39 | 15 | 34 | 19 | 50.0% | 9.5% | 91.7% | 101.2 | LUCKY | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 13 | 8 | 13 | 0 | 36 | 16 | 8 | 17 | 4 | 2 | 50.00% | 4 | 2 | 50.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 21 | 12 | 23 | 8 | 15 | 7 | 12.5% | 8.8% | 75.0% | 83.8 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 4 | 1 | 3 | 0 | 61 | 22 | 17 | 22 | 0 | 75 | 23 | 6 | 42 | 6 | 3 | 50.00% | 3 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 41 | 22 | 44 | 17 | 34 | 17 | 45.5% | 13.1% | 92.0% | 105.1 | LUCKY | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 25 | 14 | 9 | 2 | 0 | 23 | 13 | 21 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 22 | 12 | 20 | 9 | 17 | 8 | 100.0% | 12.0% | 95.7% | 107.7 | LUCKY | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 23 | 21 | 8 | 0 | 48 | 21 | 29 | 44 | 6 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 39 | 21 | 45 | 19 | 35 | 16 | 57.1% | 7.7% | 87.5% | 95.2 | Unlucky | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 59 | 24 | 20 | 14 | 4 | 56 | 23 | 15 | 41 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 48 | 29 | 41 | 17 | 35 | 18 | 25.0% | 3.4% | 87.5% | 90.9 | Unlucky | |
23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 0 | 1 | 36 | 18 | 11 | 6 | 1 | 33 | 9 | 6 | 26 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 23 | 16 | 21 | 7 | 15 | 7 | 60.0% | 11.1% | 90.9% | 102.0 | FUN | |
24 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 1.000 | 13 | 21 | 34 | 0 | 0 | 3 | 4 | 6 | 0 | 86 | 28 | 27 | 31 | 0 | 80 | 29 | 24 | 64 | 14 | 5 | 35.71% | 12 | 1 | 91.67% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 67 | 38 | 58 | 28 | 54 | 27 | 66.7% | 15.1% | 93.8% | 108.9 | LUCKY | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 37 | 6 | 14 | 17 | 0 | 28 | 12 | 6 | 14 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 22 | 14 | 21 | 8 | 16 | 7 | 66.7% | 8.1% | 96.4% | 104.5 | DULL | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 29 | 5 | 11 | 13 | 5 | 27 | 10 | 10 | 15 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 20 | 10 | 24 | 11 | 19 | 9 | 60.0% | 13.8% | 88.9% | 102.7 | FUN | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 9 | 10 | 16 | 0 | 32 | 7 | 4 | 18 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 5.7% | 87.5% | 93.2 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 8 | 14 | 8 | 0 | 38 | 8 | 2 | 17 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 23 | 14 | 21 | 8 | 15 | 8 | 20.0% | 3.3% | 89.5% | 92.8 | Unlucky | |
29 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 10 | 18 | 0 | 0 | 1 | 2 | 4 | 1 | 72 | 33 | 23 | 16 | 3 | 67 | 19 | 10 | 45 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 0 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 49 | 29 | 41 | 17 | 34 | 18 | 40.0% | 11.1% | 86.6% | 97.7 | FUN | |
_Vs Division | 17 | 10 | 4 | 0 | 0 | 0 | 0 | 3 | 50 | 41 | 9 | 23 | 0.676 | 50 | 85 | 135 | 0 | 1 | 18 | 23 | 9 | 0 | 533 | 186 | 198 | 148 | 10 | 530 | 176 | 155 | 371 | 40 | 8 | 20.00% | 49 | 8 | 83.67% | 1 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 383 | 230 | 356 | 150 | 294 | 147 | 56.0% | 9.4% | 92.3% | 101.6 | LUCKY | |
_Vs Conference | 34 | 18 | 11 | 0 | 0 | 0 | 2 | 3 | 108 | 98 | 10 | 43 | 0.632 | 108 | 181 | 289 | 1 | 1 | 35 | 42 | 29 | 3 | 1044 | 357 | 348 | 337 | 20 | 1049 | 368 | 291 | 694 | 92 | 21 | 22.83% | 108 | 19 | 82.41% | 2 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 757 | 448 | 717 | 304 | 589 | 293 | 52.4% | 10.3% | 90.7% | 101.0 | FUN | |
_Since Last GM Reset | 55 | 28 | 19 | 0 | 1 | 0 | 3 | 4 | 174 | 164 | 10 | 68 | 0.618 | 174 | 287 | 461 | 1 | 1 | 50 | 67 | 53 | 5 | 1740 | 575 | 586 | 576 | 29 | 1677 | 580 | 473 | 1163 | 152 | 37 | 24.34% | 179 | 29 | 83.80% | 3 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 1233 | 731 | 1151 | 490 | 951 | 472 | 50.4% | 10.0% | 90.2% | 100.2 | FUN | |
Total | 55 | 28 | 19 | 0 | 1 | 0 | 3 | 4 | 174 | 164 | 10 | 68 | 0.618 | 174 | 287 | 461 | 1 | 1 | 50 | 67 | 53 | 5 | 1740 | 575 | 586 | 576 | 29 | 1677 | 580 | 473 | 1163 | 152 | 37 | 24.34% | 179 | 29 | 83.80% | 3 | 599 | 1144 | 52.36% | 625 | 1181 | 52.92% | 409 | 787 | 51.97% | 1233 | 731 | 1151 | 490 | 951 | 472 | 50.4% | 10.0% | 90.2% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1144 |
Neutral Zone Start | 787 |
Defensive Zone Start | 1181 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1633 |
Faceoffs Lost | 1479 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 32.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 133 |
---|---|
PP Goal | 37 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 17 | 15 |
Lost | 12 | 7 |
Overtime Lost | 1 | 3 |
PP Attempt | 152 |
---|---|
PP Goal | 37 |
PK Attempt | 179 |
PK Goal Against | 29 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 30.5 |
Goals For | 3.2 |
Goals Against | 3.0 |
Hits | 21.1 |
Shots Blocked | 10.5 |
Pim | 8.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-06 | @ | Maple Leafs2,Canadiens3 (SO) | RECAP | ||
2024-10-07 | @ | Maple Leafs3,Devils2 | RECAP | ||
2024-10-09 | @ | Penguins3,Maple Leafs4 | RECAP | ||
2024-10-13 | @ | Kings3,Maple Leafs4 (OT) | RECAP | ||
2024-10-16 | @ | Rangers9,Maple Leafs3 | RECAP | ||
2024-10-18 | @ | Lightning2,Maple Leafs6 | RECAP | ||
2024-10-19 | @ | Maple Leafs5,Blue Jackets2 | RECAP | ||
2024-10-21 | @ | Blues3,Maple Leafs5 | RECAP | ||
2024-10-23 | @ | Maple Leafs3,Bruins1 | RECAP | ||
2024-10-25 | @ | Maple Leafs7,Jets2 | RECAP | ||
2024-10-28 | @ | Kraken5,Maple Leafs3 | RECAP | ||
2024-10-30 | @ | Maple Leafs3,Blues1 | RECAP | ||
2024-10-31 | @ | Maple Leafs1,Wild5 | RECAP | ||
2024-11-02 | @ | Bruins0,Maple Leafs2 | RECAP | ||
2024-11-05 | @ | Red Wings1,Maple Leafs3 | RECAP | ||
2024-11-06 | @ | Canadiens4,Maple Leafs1 | RECAP | ||
2024-11-09 | @ | Senators2,Maple Leafs1 (SO) | RECAP | ||
2024-11-10 | @ | Maple Leafs4,Capitals5 | RECAP | ||
2024-11-13 | @ | Oilers2,Maple Leafs3 | RECAP | ||
2024-11-17 | @ | Golden Knights4,Maple Leafs1 | RECAP | ||
2024-11-21 | @ | Utah Hockey Club2,Maple Leafs1 | RECAP | ||
2024-11-24 | @ | Maple Leafs3,Panthers1 | RECAP | ||
2024-11-27 | @ | Maple Leafs5,Lightning1 | RECAP | ||
2024-11-29 | @ | Blackhawks1,Maple Leafs3 | RECAP | ||
2024-12-01 | @ | Predators2,Maple Leafs4 | RECAP | ||
2024-12-03 | @ | Capitals3,Maple Leafs1 | RECAP | ||
2024-12-04 | @ | Maple Leafs1,Penguins6 | RECAP | ||
2024-12-07 | @ | Maple Leafs6,Devils2 | RECAP | ||
2024-12-09 | @ | Ducks4,Maple Leafs1 | RECAP | ||
2024-12-11 | @ | Maple Leafs5,Red Wings6 (SO) | RECAP | ||
2024-12-12 | @ | Sabres4,Maple Leafs2 | RECAP | ||
2024-12-15 | @ | Maple Leafs4,Stars5 (SO) | RECAP | ||
2024-12-17 | @ | Maple Leafs4,Sabres1 | RECAP | ||
2024-12-18 | @ | Islanders4,Maple Leafs1 | RECAP | ||
2024-12-20 | @ | Jets6,Maple Leafs2 | RECAP | ||
2024-12-24 | @ | Maple Leafs4,Red Wings3 | RECAP | ||
2024-12-25 | @ | Capitals2,Maple Leafs3 | RECAP | ||
2024-12-28 | @ | Islanders2,Maple Leafs6 | RECAP | ||
2024-12-30 | @ | Maple Leafs3,Islanders5 | RECAP | ||
2025-01-01 | @ | Bruins1,Maple Leafs3 | RECAP | ||
2025-01-02 | @ | Flyers2,Maple Leafs3 (SO) | RECAP | ||
2025-01-04 | @ | Maple Leafs4,Flyers2 | RECAP | ||
2025-01-06 | @ | Maple Leafs4,Hurricanes3 (SO) | RECAP | ||
2025-01-08 | @ | Canucks2,Maple Leafs6 | RECAP | ||
2025-01-11 | @ | Stars4,Maple Leafs5 | RECAP | ||
2025-01-13 | @ | Devils1,Maple Leafs4 | RECAP | ||
2025-01-15 | @ | Maple Leafs2,Canadiens1 | RECAP | ||
2025-01-17 | @ | Lightning5,Maple Leafs3 | RECAP | ||
2025-01-19 | @ | Blue Jackets4,Maple Leafs3 | RECAP | ||
2025-01-22 | @ | Maple Leafs1,Senators5 | RECAP | ||
2025-01-26 | @ | Wild1,Maple Leafs3 | RECAP | ||
2025-01-29 | @ | Maple Leafs1,Oilers5 | RECAP | ||
2025-02-01 | @ | Maple Leafs2,Flames4 | RECAP | ||
2025-02-03 | @ | Maple Leafs5,Kraken4 (SO) | RECAP | ||
2025-02-05 | @ | Maple Leafs2,Canucks1 | RECAP | ||
2025-02-19 | @ | ||||
2025-02-20 | @ | ||||
2025-02-22 | @ | ||||
2025-02-25 | @ | ||||
2025-02-27 | @ | ||||
2025-02-28 | @ | ||||
2025-03-02 | @ | ||||
2025-03-05 | @ | ||||
2025-03-07 | @ | ||||
2025-03-10 | @ | ||||
2025-03-12 | @ | ||||
2025-03-14 | @ | ||||
2025-03-16 | @ | ||||
2025-03-17 | @ | ||||
2025-03-19 | @ | ||||
2025-03-22 | @ | ||||
2025-03-24 | @ | ||||
2025-03-26 | @ | ||||
2025-03-27 | @ | ||||
2025-03-30 | @ | ||||
2025-04-02 | @ | ||||
2025-04-05 | @ | ||||
2025-04-06 | @ | ||||
2025-04-09 | @ | ||||
2025-04-10 | @ | ||||
2025-04-12 | @ | ||||
2025-04-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,191,809$ | 0$ | 78,191,809$ | 5,308,191$ |
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 | 169095 | 140333 | 56228 | 114393 | 28174 |
Attendance PCT | 93.94% | 93.56% | 93.71% | 95.33% | 93.91% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
11 | 16941 - 94.12% | 608,465$ | 18,253,962$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,191,809$ | 78,191,809$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
51,064,064$ | 78,191,809$ | 51,064,064$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,693,119$ | 68 | 398,938$ | 27,127,784$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
28,073,434$ | 78,191,809$ | -644,288,828$ | -665,669,143$ |
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 |
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2025 | |||||||
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2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alex Young | 2020 | 182 | |||
Axel Sandin Pellikka | 2023 | 15 | |||
Beau Akey | 2023 | 47 | |||
Beckett Sennecke | 2024 | 3 | |||
Brayden Yager | 2023 | 20 | |||
Cameron Berg | 2021 | 121 | |||
Carson Bjarnason | 2023 | 28 | |||
Carter George | 2024 | 42 | |||
Chaz Lucius | 2021 | 14 | |||
Cole Eiserman | 2024 | 16 | |||
Conor Geekie | 2022 | 9 | |||
Daimon Gardner | 2022 | 102 | |||
Dean Letourneau | 2024 | 39 | |||
Declan McDonnell | 2020 | 213 | |||
Dmitri Buchelnikov | 2022 | 61 | |||
Eric Florchuk | 2018 | 182 | |||
Hunter Brzustewicz | 2023 | 76 | |||
Jack Malone | 2019 | 132 | |||
Jalen Luypen | 2021 | 185 | |||
Jeremy Michel | 2019 | 217 | |||
Joey Muldowney | 2022 | 166 | |||
Kasper Simontaival | 2020 | 55 | |||
Koehn Ziemmer | 2023 | 62 | |||
Leo Sahlin Wallenius | 2024 | 40 | |||
Luca Marrelli | 2024 | 64 | |||
Marco Kasper | 2022 | 10 | |||
Matthew Maggio | |||||
Matthew Wood | 2023 | 14 | |||
Maveric Lamoureux | 2022 | 23 | |||
Michael Milne | 2022 | 72 | |||
Nate Danielson | 2023 | 12 | |||
Nick Malik | 2022 | 150 | |||
Niko Huuhtanen | 2021 | 217 | |||
Noah Dower Nilsson | 2023 | 81 | |||
Olivier Rodrigue | 2018 | 36 | |||
Otto Stenberg | 2023 | 22 | |||
Owen Pickering | 2022 | 25 | |||
Ozzy Wiesblatt | 2020 | 27 | |||
Patrick Moynihan | 2019 | 155 | |||
Quentin Musty | 2023 | 25 | |||
Rieger Lorenz | 2022 | 44 | |||
Rodwin Dionicio | 2023 | 124 | |||
Sasha Pastujov | 2021 | 64 | |||
Sean Farrell | 2020 | 89 | |||
Simon Knak | 2021 | 153 | |||
Topias Leinonen | 2022 | 40 | |||
Tristan Bertucci | 2023 | 54 | |||
Tyler Brennan | 2022 | 64 | |||
Veeti Miettinen | 2020 | 125 | |||
Xavier Bourgault | 2021 | 19 | |||
Yegor Surin | 2024 | 36 | |||
Zeev Buium | 2024 | 10 |
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