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Full Scoreboard »» |
Toronto Maple Leafs 1-1-0, 2pts · 6th 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/RW | 100.00 | 81 | 59 | 73 | 85 | 74 | 75 | 97 | 72 | 42 | 75 | 87 | 82 | 45 | 73 | 77 | 82 | 50 | 0 | 31 | 4,900,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 69 | 52 | 73 | 82 | 64 | 80 | 99 | 71 | 38 | 86 | 83 | 80 | 25 | 66 | 68 | 81 | 50 | 0 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | 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$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 53 | 75 | 87 | 62 | 83 | 85 | 86 | 41 | 81 | 89 | 74 | 35 | 71 | 71 | 84 | 50 | 0 | 26 | 5,500,000$/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$/8yrs | |||
![]() | 0 | RW | 100.00 | 80 | 57 | 84 | 76 | 67 | 63 | 79 | 64 | 61 | 63 | 57 | 78 | 25 | 60 | 61 | 66 | 72 | 0 | 23 | 900,000$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 66 | 88 | 77 | 84 | 64 | 82 | 60 | 25 | 40 | 49 | 86 | 25 | 85 | 87 | 63 | 50 | 0 | 35 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 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 | ||||||||||||||||||||||||||
![]() | 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$/1yrs | |||
TEAM AVERAGE | 100.00 | 74 | 49 | 82 | 82 | 73 | 77 | 91 | 77 | 50 | 72 | 70 | 80 | 44 | 70 | 73 | 75 | 51 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 76 | 70 | 68 | 69 | 75 | 77 | 76 | 77 | 81 | 76 | 81 | 57 | 57 | 76 | 50 | 0 | 29 | 1,100,000$/2yrs |
![]() | 0 | 100.00 | 83 | 76 | 72 | 77 | 86 | 80 | 77 | 82 | 85 | 83 | 75 | 52 | 52 | 81 | 50 | 0 | 27 | 1,200,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 73 | 70 | 73 | 81 | 79 | 77 | 80 | 83 | 80 | 78 | 55 | 55 | 79 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 84 | 56 | 81 | 80 | 87 | 77 | 78 | 85 | 44 | 78 | 75 | 65 | 53 | 58 | 58 | 75 | 55 | 0 | 19 | 950,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 99 | 97 | 86 | 66 | 65 | 56 | 69 | 68 | 25 | 64 | 71 | 64 | 25 | 45 | 45 | 71 | 74 | 0 | 20 | 841,667$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 72 | 99 | 64 | 72 | 47 | 48 | 44 | 55 | 38 | 44 | 62 | 42 | 44 | 44 | 52 | 74 | 0 | 19 | 845,833$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 74 | 75 | 73 | 68 | 75 | 78 | 82 | 64 | 80 | 57 | 68 | 64 | 65 | 44 | 44 | 67 | 74 | 0 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 64 | 73 | 76 | 64 | 69 | 71 | 62 | 50 | 60 | 60 | 60 | 57 | 44 | 44 | 63 | 74 | 0 | 20 | 863,333$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 75 | 75 | 64 | 75 | 55 | 53 | 64 | 80 | 59 | 65 | 65 | 62 | 44 | 44 | 65 | 74 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 64 | 86 | 73 | 64 | 73 | 75 | 65 | 80 | 57 | 69 | 63 | 66 | 44 | 44 | 68 | 74 | 0 | 19 | 918,333$/3yrs | |||
![]() | 0 | RW | 100.00 | 68 | 63 | 78 | 78 | 63 | 83 | 88 | 64 | 50 | 63 | 61 | 62 | 58 | 46 | 47 | 65 | 74 | 0 | 23 | 775,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 70 | 80 | 77 | 70 | 64 | 70 | 45 | 58 | 56 | 53 | 59 | 42 | 60 | 61 | 54 | 74 | 0 | 23 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 88 | 83 | 72 | 76 | 69 | 77 | 25 | 68 | 48 | 76 | 25 | 51 | 51 | 66 | 55 | 0 | 19 | 918,333$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 52 | 84 | 81 | 69 | 79 | 85 | 71 | 25 | 61 | 48 | 77 | 25 | 50 | 50 | 64 | 55 | 0 | 19 | 918,333$/3yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 83 | 73 | 70 | 77 | 82 | 74 | 25 | 56 | 48 | 68 | 25 | 47 | 47 | 62 | 55 | 0 | 21 | 897,500$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 77 | 80 | 66 | 77 | 73 | 80 | 48 | 25 | 38 | 42 | 62 | 40 | 44 | 44 | 54 | 74 | 0 | 23 | 828,333$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 73 | 99 | 67 | 73 | 33 | 31 | 41 | 25 | 28 | 39 | 62 | 37 | 44 | 44 | 49 | 74 | 0 | 20 | 916,667$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 64 | 69 | 65 | 64 | 56 | 57 | 53 | 25 | 51 | 41 | 57 | 39 | 44 | 44 | 52 | 74 | 0 | 21 | 903,333$/3yrs | |||
![]() | 0 | D | 100.00 | 74 | 69 | 86 | 69 | 69 | 56 | 56 | 56 | 25 | 52 | 46 | 62 | 44 | 44 | 44 | 57 | 74 | 0 | 20 | 894,167$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 61 | 56 | 55 | 84 | 65 | 56 | 69 | 62 | 65 | 61 | 78 | 48 | 48 | 62 | 74 | 0 | 22 | 850,833$/1yrs | ||||||
![]() | 0 | 100.00 | 52 | 52 | 65 | 80 | 52 | 52 | 50 | 56 | 51 | 51 | 30 | 44 | 44 | 52 | 74 | 0 | 24 | 775,000$/1yrs | ||||||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | 100.00 | 69 | 65 | 66 | 80 | 78 | 59 | 69 | 70 | 69 | 68 | 90 | 70 | 71 | 69 | 50 | 0 | 33 | 875,000$/1yrs |
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 | Colton Sissons | 0 | C/RW | 2 | 2 | 0 | 2 | 2 | 2 | 0 | 2 | 6 | 2 | 1 | 33.33% | 0 | 12.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 57.14% | 7 | 2 | 2 | 0 | 0 | 1.64 | 0 | 0 | ||
2 | Victor Hedman | 0 | D | 2 | 0 | 2 | 2 | 1 | 2 | 0 | 1 | 4 | 3 | 0 | 0.00% | 4 | 26.57 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.75 | 0 | 0 | ||
3 | Erik Johnson | 0 | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 2 | 14.22 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
4 | Joel Eriksson Ek | 0 | C | 2 | 1 | 0 | 1 | -1 | 2 | 0 | 2 | 4 | 5 | 4 | 25.00% | 1 | 19.95 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 56.10% | 41 | 2 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
5 | Travis Konecny | 0 | LW/RW | 2 | 0 | 1 | 1 | -2 | 2 | 0 | 2 | 6 | 1 | 7 | 0.00% | 0 | 15.89 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 3 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
6 | Jason Robertson | 0 | RW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 8 | 2 | 5 | 0.00% | 0 | 19.66 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 4 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
7 | Casey Cizikas | 0 | C | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 0 | 4 | 0.00% | 0 | 10.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 9 | 1 | 0 | 0 | 0 | 0.93 | 0 | 0 | ||
8 | Roope Hintz | 0 | C | 2 | 1 | 0 | 1 | -2 | 0 | 0 | 4 | 10 | 5 | 5 | 10.00% | 0 | 15.77 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 62.96% | 27 | 3 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
9 | Mason McTavish | 0 | C/LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 6 | 1 | 0 | 2 | 0.00% | 0 | 11.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 45.00% | 20 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Sean Durzi | 0 | D | 2 | 0 | 0 | 0 | 1 | 4 | 0 | 1 | 0 | 0 | 2 | 0.00% | 2 | 24.59 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | J.T Compher | 0 | C/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 2 | 2 | 0.00% | 1 | 13.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Blake Coleman | 0 | LW/RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 6 | 0 | 1 | 1 | 0.00% | 0 | 14.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Brandon Hagel | 0 | LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 11.53 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Kevin Fiala | 0 | LW/RW | 2 | 0 | 0 | 0 | -1 | 2 | 0 | 5 | 3 | 1 | 6 | 0.00% | 0 | 21.32 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | John Marino | 0 | D | 2 | 0 | 0 | 0 | -3 | 2 | 0 | 1 | 2 | 1 | 1 | 0.00% | 3 | 20.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Scott Mayfield | 0 | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 1 | 13.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Jaccob Slavin | 0 | D | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 5 | 1 | 1 | 0.00% | 3 | 22.77 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Ty Dellandrea | 0 | RW | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 2 | 0 | 0 | 0.00% | 0 | 8.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 36 | 4 | 6 | 10 | -10 | 16 | 0 | 39 | 66 | 24 | 44 | 6.06% | 17 | 16.48 | 0 | 0 | 0 | 59 | 0 | 0 | 0 | 56 | 1 | 1 | 54.39% | 114 | 19 | 12 | 0 | 0 | 0.34 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Charlie Lindgren | 2 | 1 | 1 | 0 | 0.870 | 3.47 | 121 | 0 | 0 | 7 | 54 | 25 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 | |
Team Total or Average | 2 | 1 | 1 | 0 | 0.870 | 3.47 | 121 | 0 | 0 | 7 | 54 | 25 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 43 |
Neutral Zone Start | 29 |
Defensive Zone Start | 42 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 62 |
Faceoffs Lost | 52 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 33.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 0.5 | 1.65 |
3rd Period | 1.5 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
---|---|
PP Goal | 0 |
PK Attempt | 8 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 27.0 |
Goals For | 2.0 |
Goals Against | 3.5 |
Hits | 19.5 |
Shots Blocked | 8.5 |
Pim | 8.0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Blake Coleman ![]() | LW/RW | 31 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | ||||
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$ | |||||
Erik Johnson ![]() | D | 35 | 3,250,000$ | 3,250,000$ | |||||||
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$ | ||||
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$ | ||
Mason McTavish ![]() | C/LW | 20 | 894,167$ | 894,167$ | 894,167$ | ||||||
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$ |
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$ | |||||||
Travis Konecny ![]() | LW/RW | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
Ty Dellandrea ![]() | RW | 23 | 900,000$ | 900,000$ | |||||||
Victor Hedman ![]() | D | 32 | 7,875,000$ | 7,875,000$ | 7,875,000$ |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 66 | 19 | 23 | 21 | 3 | 54 | 17 | 16 | 39 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 20 | 43 | 46.51% | 23 | 42 | 54.76% | 19 | 29 | 65.52% | 47 | 29 | 40 | 17 | 33 | 16 | 40.0% | 6.1% | 87.0% | 93.1 | Unlucky |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
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Offensive Zone Start | 43 |
Neutral Zone Start | 29 |
Defensive Zone Start | 42 |
Puck Time | |
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With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
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Faceoffs Won | 62 |
Faceoffs Lost | 52 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 33.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 0.5 | 1.65 |
3rd Period | 1.5 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 4 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
---|---|
PP Goal | 0 |
PK Attempt | 8 |
PK Goal Against | 1 |
Home | |
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Shots For | 33.0 |
Shots Against | 27.0 |
Goals For | 2.0 |
Goals Against | 3.5 |
Hits | 19.5 |
Shots Blocked | 8.5 |
Pim | 8.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-01 | @ | Maple Leafs3,Canadiens2 (OT) | RECAP | ||
2024-10-03 | @ | Maple Leafs1,Canadiens5 | RECAP | ||
2024-10-05 | @ | ||||
2024-10-07 | @ | ||||
2024-10-09 | @ | ||||
2024-10-11 | @ | ||||
2024-10-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,682,643$ | 0$ | 0$ | 83,500,000$ |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,682,643$ | 82,682,643$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | -666,936,573$ | -666,936,573$ |
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 | |||||||
2026 | |||||||
2027 | |||||||
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 | |||
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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