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Toronto Maple Leafs 5-7-0, 10pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 57 | 36 | 93 | 78 | 79 | 87 | 90 | 75 | 59 | 79 | 73 | 61 | 76 | 90 | 77 | 45 | 80 | 0 | 35 | 2,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 34 | 88 | 79 | 70 | 89 | 90 | 82 | 91 | 83 | 75 | 62 | 81 | 87 | 75 | 45 | 79 | 0 | 35 | 6,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 66 | 36 | 74 | 77 | 73 | 89 | 94 | 79 | 86 | 84 | 76 | 68 | 75 | 80 | 77 | 53 | 78 | 0 | 32 | 7,000,000$/7yrs | |||
![]() | 0 | C | 100.00 | 56 | 37 | 82 | 66 | 87 | 77 | 84 | 67 | 86 | 71 | 67 | 69 | 73 | 92 | 81 | 35 | 78 | 0 | 39 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 62 | 39 | 83 | 79 | 84 | 88 | 83 | 76 | 61 | 78 | 86 | 62 | 81 | 83 | 79 | 45 | 79 | 0 | 34 | 7,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 34 | 86 | 77 | 69 | 87 | 90 | 76 | 58 | 75 | 77 | 62 | 78 | 67 | 71 | 42 | 80 | 0 | 27 | 4,750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 75 | 34 | 88 | 77 | 72 | 88 | 85 | 76 | 72 | 75 | 79 | 66 | 77 | 85 | 78 | 39 | 79 | 0 | 36 | 5,750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 37 | 84 | 70 | 87 | 88 | 82 | 71 | 86 | 72 | 73 | 76 | 71 | 90 | 79 | 38 | 76 | 0 | 38 | 3,125,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 39 | 89 | 74 | 81 | 92 | 79 | 76 | 93 | 75 | 71 | 77 | 74 | 87 | 92 | 58 | 78 | 0 | 34 | 10,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 34 | 85 | 72 | 69 | 86 | 90 | 75 | 58 | 73 | 74 | 64 | 75 | 76 | 77 | 39 | 79 | 0 | 34 | 1,100,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 58 | 36 | 89 | 83 | 79 | 86 | 90 | 78 | 63 | 79 | 74 | 61 | 80 | 79 | 73 | 71 | 81 | 0 | 31 | 5,750,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 35 | 93 | 75 | 73 | 88 | 87 | 73 | 59 | 72 | 74 | 80 | 71 | 78 | 73 | 52 | 79 | 0 | 32 | 1,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 82 | 64 | 62 | 91 | 79 | 88 | 63 | 57 | 67 | 64 | 56 | 61 | 79 | 74 | 26 | 77 | 0 | 35 | 1,510,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 47 | 68 | 59 | 91 | 88 | 85 | 57 | 30 | 70 | 58 | 87 | 50 | 73 | 71 | 67 | 78 | 0 | 31 | 875,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 36 | 91 | 71 | 80 | 94 | 91 | 65 | 30 | 77 | 69 | 88 | 55 | 76 | 71 | 70 | 77 | 0 | 29 | 1,200,000$/6yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 71 | 62 | 88 | 90 | 84 | 63 | 30 | 75 | 56 | 91 | 53 | 87 | 76 | 32 | 78 | 0 | 37 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 45 | 73 | 63 | 82 | 87 | 90 | 60 | 30 | 72 | 55 | 81 | 47 | 80 | 74 | 49 | 79 | 0 | 34 | 3,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 38 | 80 | 66 | 91 | 95 | 83 | 62 | 30 | 74 | 67 | 92 | 51 | 84 | 73 | 49 | 78 | 0 | 35 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 42 | 79 | 64 | 78 | 91 | 82 | 63 | 30 | 74 | 60 | 85 | 51 | 72 | 69 | 59 | 79 | 0 | 29 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 38 | 86 | 70 | 98 | 93 | 88 | 65 | 30 | 78 | 62 | 86 | 53 | 72 | 70 | 52 | 78 | 0 | 29 | 6,500,000$/8yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 66 | 40 | 82 | 71 | 81 | 88 | 87 | 70 | 57 | 75 | 70 | 74 | 67 | 81 | 76 | 48 | 79 | 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 | 73 | 70 | 72 | 69 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 76 | 89 | 45 | 79 | 0 | 35 | 750,000$/1yrs |
![]() | 0 | 100.00 | 96 | 94 | 89 | 77 | 95 | 94 | 96 | 95 | 94 | 96 | 95 | 97 | 92 | 47 | 78 | 0 | 38 | 3,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 82 | 81 | 73 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 87 | 91 | 46 | 79 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 82 | 91 | 87 | 83 | 95 | 89 | 49 | CAN | 64 | 1 | 500,000$ |
General Manager | Adam J Forest |
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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 | Claude Giroux | 0 | C/RW | 12 | 6 | 4 | 10 | 4 | 4 | 0 | 12 | 41 | 18 | 18 | 14.63% | 3 | 18.73 | 0 | 2 | 2 | 28 | 0 | 0 | 0 | 4 | 1 | 0 | 59.41% | 239 | 9 | 2 | 0 | 0 | 0.89 | 0 | 0 | ||
2 | Nazem Kadri | 0 | C | 12 | 3 | 6 | 9 | -1 | 2 | 0 | 26 | 38 | 12 | 17 | 7.89% | 5 | 19.52 | 2 | 0 | 2 | 26 | 0 | 0 | 0 | 15 | 0 | 1 | 50.18% | 281 | 11 | 4 | 0 | 0 | 0.77 | 0 | 0 | ||
3 | Taylor Hall | 0 | LW | 12 | 5 | 4 | 9 | 2 | 2 | 0 | 14 | 46 | 16 | 22 | 10.87% | 3 | 17.40 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 0 | 2 | 0 | 45.45% | 11 | 14 | 1 | 0 | 1 | 0.86 | 0 | 0 | ||
4 | Max Pacioretty | 0 | LW | 12 | 3 | 5 | 8 | 2 | 2 | 0 | 16 | 40 | 11 | 20 | 7.50% | 6 | 19.42 | 0 | 1 | 1 | 26 | 0 | 0 | 0 | 3 | 0 | 0 | 50.00% | 18 | 8 | 4 | 0 | 0 | 0.69 | 0 | 0 | ||
5 | Jonathan Toews | 0 | C | 12 | 3 | 3 | 6 | -2 | 2 | 0 | 16 | 25 | 7 | 10 | 12.00% | 2 | 14.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 54.62% | 130 | 5 | 2 | 0 | 0 | 0.70 | 0 | 0 | ||
6 | Jonas Brodin | 0 | D | 12 | 2 | 3 | 5 | 0 | 0 | 0 | 3 | 15 | 4 | 6 | 13.33% | 18 | 20.68 | 1 | 0 | 1 | 26 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 5 | 10 | 0 | 0 | 0.40 | 0 | 0 | ||
7 | Alexander Edler | 0 | D | 12 | 2 | 3 | 5 | 3 | 2 | 0 | 19 | 11 | 2 | 6 | 18.18% | 7 | 20.66 | 1 | 0 | 1 | 26 | 0 | 0 | 0 | 14 | 1 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.40 | 0 | 0 | ||
8 | Reilly Smith | 0 | LW/RW | 12 | 1 | 4 | 5 | -3 | 0 | 0 | 5 | 13 | 8 | 11 | 7.69% | 7 | 13.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 5 | 5 | 9 | 0 | 0 | 0.62 | 0 | 0 | ||
9 | Victor Olofsson | 0 | LW/RW | 12 | 1 | 3 | 4 | -4 | 0 | 0 | 12 | 24 | 10 | 14 | 4.17% | 0 | 14.97 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 7 | 5 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
10 | T.J. Oshie | 0 | RW | 12 | 0 | 4 | 4 | 4 | 2 | 0 | 16 | 22 | 9 | 14 | 0.00% | 3 | 17.21 | 0 | 2 | 2 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 14 | 10 | 4 | 0 | 0 | 0.39 | 0 | 1 | ||
11 | Phil Kessel | 0 | RW | 12 | 1 | 2 | 3 | 2 | 0 | 0 | 10 | 28 | 6 | 14 | 3.57% | 6 | 16.99 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 3 | 1 | 0 | 0 | 0.29 | 0 | 0 | ||
12 | Ian Cole | 0 | D | 12 | 1 | 2 | 3 | 0 | 10 | 0 | 9 | 10 | 4 | 3 | 10.00% | 14 | 17.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.28 | 0 | 0 | ||
13 | Erik Johnson | 0 | D | 12 | 1 | 2 | 3 | -6 | 8 | 0 | 25 | 8 | 4 | 7 | 12.50% | 15 | 23.30 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 5 | 5 | 0 | 0 | 0.21 | 0 | 0 | ||
14 | Evgenii Dadonov | 0 | LW/RW | 12 | 2 | 1 | 3 | -4 | 0 | 0 | 11 | 18 | 5 | 12 | 11.11% | 0 | 8.44 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 6 | 1 | 0 | 0 | 0.59 | 0 | 0 | ||
15 | Jake McCabe | 0 | D | 12 | 0 | 3 | 3 | -3 | 12 | 0 | 30 | 12 | 3 | 6 | 0.00% | 13 | 22.61 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 2 | 11 | 0 | 0 | 0.22 | 0 | 0 | ||
16 | Colton Parayko | 0 | D | 12 | 1 | 2 | 3 | 0 | 0 | 0 | 6 | 10 | 4 | 6 | 10.00% | 14 | 16.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 15 | 0 | 0 | 0.31 | 0 | 0 | ||
17 | Derek Forbort | 0 | D | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Jason Spezza | 0 | C | 12 | 0 | 0 | 0 | -4 | 0 | 0 | 7 | 8 | 1 | 8 | 0.00% | 4 | 8.49 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 26 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Jeff Carter | 0 | C/RW | 12 | 0 | 0 | 0 | -5 | 0 | 0 | 10 | 9 | 6 | 8 | 0.00% | 2 | 10.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 33.33% | 3 | 5 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Pat Maroon | 0 | LW/RW | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 240 | 32 | 51 | 83 | -15 | 46 | 0 | 248 | 378 | 130 | 202 | 8.47% | 123 | 15.07 | 4 | 6 | 10 | 275 | 0 | 0 | 0 | 166 | 5 | 1 | 52.47% | 749 | 98 | 87 | 0 | 1 | 0.46 | 0 | 1 |
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 | Marc-Andre Fleury | 11 | 5 | 6 | 0 | 0.920 | 2.54 | 661 | 2 | 0 | 28 | 348 | 151 | 1 | 1 | 0.000 | 0 | 11 | 1 | 1 | 0 | 1 | |
Team Total or Average | 11 | 5 | 6 | 0 | 0.920 | 2.54 | 661 | 2 | 0 | 28 | 348 | 151 | 1 | 1 | 0.000 | 0 | 11 | 1 | 1 | 0 | 1 |
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 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 19 | 5 | 8 | 0.571 | 24 | 38 | 62 | 0 | 0 | 4 | 10 | 9 | 1 | 233 | 89 | 59 | 78 | 7 | 235 | 78 | 26 | 144 | 18 | 4 | 22.22% | 13 | 1 | 92.31% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 158 | 96 | 153 | 61 | 120 | 61 | 52.6% | 10.3% | 91.9% | 102.2 | LUCKY | |
2 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 0.200 | 8 | 13 | 21 | 1 | 0 | 4 | 3 | 1 | 0 | 145 | 47 | 50 | 48 | 0 | 159 | 45 | 22 | 104 | 14 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 104 | 61 | 112 | 44 | 83 | 42 | 38.1% | 5.5% | 91.2% | 96.7 | DULL | |
_Vs Division | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL | |
_Vs Conference | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL | |
_Since Last GM Reset | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL | |
Total | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 263 |
Neutral Zone Start | 192 |
Defensive Zone Start | 294 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 393 |
Faceoffs Lost | 356 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 30.9 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 27 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 1 |
Lost | 2 | 5 |
Overtime Lost | 0 | 0 |
PP Attempt | 32 |
---|---|
PP Goal | 4 |
PK Attempt | 25 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 32.8 |
Goals For | 2.7 |
Goals Against | 2.8 |
Hits | 20.7 |
Shots Blocked | 10.3 |
Pim | 4.0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Stalock ![]() | G | 35 | 750,000$ | 750,000$ | UFA | ||||||
Alexander Edler | D | 37 | 750,000$ | 750,000$ | UFA | ||||||
Claude Giroux | C/RW | 35 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Colton Parayko | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Derek Forbort ![]() | D | 31 | 875,000$ | 875,000$ | UFA | ||||||
Erik Johnson | D | 35 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Evgenii Dadonov ![]() | LW/RW | 34 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Ian Cole | D | 34 | 3,800,000$ | 3,800,000$ | UFA | ||||||
Jake McCabe | D | 29 | 3,500,000$ | 3,500,000$ | |||||||
Jason Spezza ![]() | C | 39 | 750,000$ | 750,000$ | UFA | ||||||
Jeff Carter | C/RW | 38 | 3,125,000$ | 3,125,000$ | 3,125,000$ | UFA | |||||
Jonas Brodin | D | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |
Jonathan Toews | C | 34 | 10,500,000$ | 10,500,000$ | UFA | ||||||
Marc-Andre Fleury | G | 38 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Max Pacioretty | LW | 34 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Nazem Kadri | C | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Pat Maroon ![]() | LW/RW | 35 | 1,510,000$ | 1,510,000$ | 1,510,000$ | UFA | |||||
Phil Kessel | RW | 35 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Reilly Smith | LW/RW | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
T.J. Oshie | RW | 36 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||||
Taylor Hall ![]() | LW | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||||
Victor Olofsson ![]() | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brad Richardson ![]() | RW | 38 | 750,000$ | 750,000$ | UFA | ||||||
Brian Elliott ![]() | G | 38 | 750,000$ | 750,000$ | UFA | ||||||
Cory Schneider ![]() | G | 37 | 750,000$ | 750,000$ | UFA | ||||||
German Rubtsov ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Joachim Blichfeld ![]() | LW/RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Nick Caamano ![]() | LW/RW | 24 | 750,000$ | 750,000$ | RFA |
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 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 19 | 5 | 8 | 0.571 | 24 | 38 | 62 | 0 | 0 | 4 | 10 | 9 | 1 | 233 | 89 | 59 | 78 | 7 | 235 | 78 | 26 | 144 | 18 | 4 | 22.22% | 13 | 1 | 92.31% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 158 | 96 | 153 | 61 | 120 | 61 | 52.6% | 10.3% | 91.9% | 102.2 | LUCKY | |
2 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 0.200 | 8 | 13 | 21 | 1 | 0 | 4 | 3 | 1 | 0 | 145 | 47 | 50 | 48 | 0 | 159 | 45 | 22 | 104 | 14 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 104 | 61 | 112 | 44 | 83 | 42 | 38.1% | 5.5% | 91.2% | 96.7 | DULL | |
_Vs Division | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL | |
_Vs Conference | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL | |
_Since Last GM Reset | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL | |
Total | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 32 | 33 | -1 | 10 | 0.417 | 32 | 51 | 83 | 1 | 0 | 8 | 13 | 10 | 1 | 378 | 136 | 109 | 126 | 7 | 394 | 123 | 48 | 248 | 32 | 4 | 12.50% | 25 | 2 | 92.00% | 0 | 133 | 263 | 50.57% | 159 | 294 | 54.08% | 101 | 192 | 52.60% | 262 | 158 | 265 | 106 | 203 | 103 | 47.5% | 8.5% | 91.6% | 100.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 263 |
Neutral Zone Start | 192 |
Defensive Zone Start | 294 |
Puck Time | |
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With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 393 |
Faceoffs Lost | 356 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 30.9 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 27 |
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PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
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Win | 4 | 1 |
Lost | 2 | 5 |
Overtime Lost | 0 | 0 |
PP Attempt | 32 |
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PP Goal | 4 |
PK Attempt | 25 |
PK Goal Against | 2 |
Home | |
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Shots For | 31.5 |
Shots Against | 32.8 |
Goals For | 2.7 |
Goals Against | 2.8 |
Hits | 20.7 |
Shots Blocked | 10.3 |
Pim | 4.0 |
Date | Matchup | Result | Detail | ||
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2023-04-07 | VS | BOS4,TOR3 (OT) | RECAP | ||
2023-04-09 | VS | BOS2,TOR7 | RECAP | ||
2023-04-11 | VS | TOR2,BOS3 | RECAP | ||
2023-04-13 | VS | TOR3,BOS5 | RECAP | ||
2023-04-15 | VS | BOS1,TOR2 (OT) | RECAP | ||
2023-04-17 | VS | TOR4,BOS2 | RECAP | ||
2023-04-19 | VS | BOS2,TOR3 | RECAP | ||
2023-04-21 | VS | TOR1,OTT3 | RECAP | ||
2023-04-23 | VS | TOR2,OTT4 | RECAP | ||
2023-04-25 | VS | OTT2,TOR1 | RECAP | ||
2023-04-27 | VS | OTT2,TOR3 | RECAP | ||
2023-04-29 | VS | TOR1,OTT3 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,610,000$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Scotiabank Arena | |
City | Toronto | ||
Capacity | 18819 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2046 | 4600 | 1173 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 34305 | 28872 | 12276 | 23046 | 7038 |
Attendance PCT | 95.29% | 96.24% | 100.00% | 83.50% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
35 | 17590 - 93.47% | 2,219,985$ | 13,319,907$ | 18819 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,610,000$ | 83,610,000$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 114,445,136$ | 114,445,136$ |
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 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
---|---|---|---|---|---|
Jake Virtanen | |||||
Lukas Elvenes | 0 | Link | |||
Mikhail Vorobyov | 2015 | 104 | 0 | Link | |
Nykolay Goldobin |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
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Jake Virtanen | |||||
Lukas Elvenes | 0 | Link | |||
Mikhail Vorobyov | 2015 | 104 | 0 | Link | |
Nykolay Goldobin |
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