Maple Leafs | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Ross | Morale : 50 | Team Overall : 64 |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alexander Kerfoot | X | X | 100.00 | 63 | 46 | 80 | 82 | 60 | 71 | 91 | 67 | 66 | 69 | 61 | 70 | 67 | 73 | 70 | 0 | 50 | 66 | 0 | 29 | 2 | 2,000,000$ | |||
2 | David Kampf | X | X | 100.00 | 66 | 46 | 82 | 71 | 71 | 63 | 76 | 51 | 79 | 56 | 52 | 61 | 55 | 72 | 67 | 0 | 50 | 58 | 0 | 29 | 2 | 1,750,000$ | |||
3 | Darnell Nurse | X | 100.00 | 72 | 50 | 64 | 87 | 85 | 85 | 93 | 70 | 47 | 65 | 61 | 77 | 60 | 77 | 83 | 0 | 50 | 71 | 0 | 29 | 2 | 7,000,000$ | ||||
4 | Sean Durzi | X | 100.00 | 52 | 49 | 69 | 81 | 66 | 83 | 88 | 77 | 47 | 69 | 61 | 74 | 61 | 60 | 59 | 0 | 50 | 68 | 0 | 25 | 1 | 1,250,000$ | ||||
5 | Jared Spurgeon (A) | X | 100.00 | 51 | 46 | 79 | 82 | 46 | 80 | 63 | 75 | 46 | 56 | 56 | 79 | 56 | 85 | 95 | 0 | 50 | 66 | 0 | 34 | 1 | 7,770,000$ | ||||
6 | Ethan Bear | X | 100.00 | 58 | 47 | 70 | 72 | 64 | 67 | 54 | 52 | 47 | 49 | 49 | 63 | 48 | 63 | 61 | 0 | 50 | 57 | 0 | 26 | 1 | 2,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | William Nylander | X | X | 100.00 | 52 | 46 | 84 | 89 | 71 | 80 | 94 | 85 | 51 | 84 | 85 | 64 | 80 | 76 | 71 | 0 | 50 | 76 | 0 | 28 | 0 | 0$ | |||
2 | Mitch Marner (C) | X | 100.00 | 61 | 46 | 86 | 77 | 60 | 86 | 82 | 81 | 48 | 90 | 74 | 72 | 76 | 75 | 81 | 0 | 50 | 74 | 0 | 27 | 0 | 0$ | ||||
3 | Claude Giroux (A) | X | X | 100.00 | 56 | 45 | 83 | 82 | 61 | 81 | 94 | 92 | 94 | 80 | 74 | 64 | 74 | 95 | 93 | 0 | 50 | 73 | 0 | 36 | 0 | 0$ | |||
4 | Dylan Strome | X | X | 100.00 | 48 | 46 | 79 | 79 | 78 | 73 | 92 | 86 | 80 | 77 | 77 | 70 | 76 | 71 | 65 | 0 | 50 | 72 | 0 | 27 | 0 | 0$ | |||
5 | Sammy Blais | X | X | 100.00 | 85 | 48 | 67 | 73 | 77 | 52 | 54 | 46 | 48 | 53 | 51 | 60 | 51 | 62 | 61 | 0 | 50 | 58 | 0 | 27 | 0 | 0$ | |||
6 | Matt Luff | X | 100.00 | 51 | 45 | 55 | 50 | 70 | 46 | 45 | 46 | 46 | 46 | 46 | 50 | 46 | 52 | 53 | 0 | 50 | 48 | 0 | 27 | 0 | 0$ | ||||
7 | Mattias Norlinder | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 24 | 0 | 0$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Riley Kidney (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 21 | 2 | 1,000,000$ | ||||
2 | Olivier Nadeau (R) | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 21 | 2 | 1,000,000$ | |||
3 | Victor Stjernborg (R) | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 20 | 2 | 1,000,000$ | |||
4 | Kale Clague | X | 100.00 | 50 | 48 | 51 | 63 | 63 | 54 | 48 | 50 | 46 | 48 | 47 | 50 | 47 | 51 | 53 | 0 | 50 | 51 | 0 | 25 | 1 | 1,250,000$ | ||||
5 | Peter Diliberatore | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 24 | 1 | 1,250,000$ | ||||
6 | Pontus Holmberg | X | X | 100.00 | 65 | 46 | 72 | 62 | 62 | 53 | 58 | 46 | 63 | 55 | 58 | 68 | 58 | 50 | 53 | 0 | 50 | 57 | 0 | 25 | 0 | 0$ | |||
7 | Shane Wright (R) | X | 100.00 | 46 | 49 | 59 | 60 | 64 | 49 | 50 | 50 | 48 | 47 | 47 | 50 | 47 | 47 | 48 | 0 | 50 | 50 | 0 | 20 | 3 | 1,000,000$ | ||||
8 | Matthew Highmore | X | 100.00 | 49 | 48 | 53 | 62 | 61 | 47 | 47 | 46 | 47 | 50 | 46 | 48 | 46 | 54 | 55 | 0 | 50 | 49 | 0 | 28 | 0 | 0$ | ||||
9 | Elliot Desnoyers | X | 100.00 | 48 | 45 | 48 | 50 | 52 | 46 | 45 | 45 | 46 | 46 | 45 | 46 | 45 | 46 | 47 | 0 | 50 | 46 | 0 | 22 | 0 | 0$ | ||||
10 | Fabian Wagner (R) | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 20 | 0 | 0$ | |||
11 | Josh Lawrence | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | |||
12 | Brandon Lisowsky (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 20 | 3 | 1,000,000$ | ||||
13 | Cedrick Guindon (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 20 | 3 | 1,000,000$ | ||||
14 | Jordan Gustafson (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 20 | 3 | 1,000,000$ | ||||
15 | Nicholas Moldenhauer (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 19 | 3 | 1,000,000$ | ||||
16 | Alex Beaucage | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | |||
17 | Ryan Tverberg (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | ||||
18 | Blake Biondi (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | ||||
19 | Brandon Coe (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | ||||
20 | Alex Jefferies (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | ||||
21 | Justin Barron (R) | X | 100.00 | 64 | 46 | 75 | 72 | 76 | 73 | 70 | 58 | 47 | 55 | 59 | 61 | 58 | 51 | 53 | 0 | 50 | 61 | 0 | 22 | 0 | 0$ | ||||
22 | Jared McIsaac | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 24 | 0 | 0$ | ||||
23 | William Villeneuve (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | ||||
TEAM AVERAGE | 100.00 | 51 | 46 | 57 | 58 | 55 | 56 | 57 | 54 | 50 | 53 | 52 | 54 | 52 | 55 | 55 | 0 | 50 | 53 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Murray | 100.00 | 76 | 58 | 67 | 86 | 75 | 87 | 73 | 73 | 66 | 83 | 76 | 73 | 73 | 0 | 50 | 72 | 0 | 29 | 1 | 1,790,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Dennis Hildeby (R) | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 22 | 1 | 620,000$ | |
2 | Mathis Rousseau (R) | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 19 | 0 | 0$ | |
3 | Hugo Havelid (R) | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 20 | 3 | 1,000,000$ | |
4 | Evan Fitzpatrick | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 26 | 0 | 0$ | |
5 | Keith Petruzzelli (R) | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 25 | 0 | 0$ | |
TEAM AVERAGE | 100.00 | 59 | 56 | 57 | 60 | 58 | 60 | 58 | 58 | 57 | 60 | 59 | 58 | 58 | 0 | 50 | 57 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 |
# | 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 |
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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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kerfoot | Maple Leafs | C/LW | 29 | 8/11/94 | No | 186 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Claude Giroux | Maple Leafs | C/RW | 36 | 1/12/88 | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Darnell Nurse | Maple Leafs | D | 29 | 2/04/95 | No | 221 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 7,000,000$ | 0$ | 0$ | No | 7,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
David Kampf | Maple Leafs | C/RW | 29 | 1/12/95 | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,750,000$ | 0$ | 0$ | No | 1,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Dylan Strome | Maple Leafs | C/LW | 27 | 3/07/97 | No | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Ethan Bear | Maple Leafs | D | 26 | 6/26/97 | No | 197 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,000,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Jared Spurgeon | Maple Leafs | D | 34 | 11/29/89 | No | 166 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 7,770,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Matt Luff | Maple Leafs | RW | 27 | 5/05/97 | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Matt Murray | Maple Leafs | G | 29 | 5/25/94 | No | 203 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,790,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Mattias Norlinder | Maple Leafs | D | 24 | 4/12/00 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Mitch Marner | Maple Leafs | RW | 27 | 5/05/97 | No | 175 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Sammy Blais | Maple Leafs | LW/RW | 27 | 6/17/96 | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Sean Durzi | Maple Leafs | D | 25 | 10/21/98 | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,250,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
William Nylander | Maple Leafs | C/RW | 28 | 5/01/96 | No | 204 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
14 | 28.36 | 195 Lbs | 6 ft1 | 0.71 | 1,682,857$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
23,560,000$ | 10,750,000$ | 0$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 33 | 1 | 2 | 2 | |||
2 | 33 | 1 | 2 | 2 | |||
3 | Alexander Kerfoot | 22 | 1 | 3 | 1 | ||
4 | David Kampf | 12 | 2 | 2 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jared Spurgeon | Darnell Nurse | 40 | 1 | 2 | 2 | |
2 | Sean Durzi | 35 | 0 | 3 | 2 | ||
3 | Ethan Bear | 25 | 1 | 3 | 1 | ||
4 | Jared Spurgeon | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 50 | 0 | 1 | 4 | |||
2 | 50 | 1 | 1 | 3 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jared Spurgeon | Darnell Nurse | 55 | 0 | 1 | 4 | |
2 | Sean Durzi | 45 | 0 | 2 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 50 | 0 | 3 | 2 | ||
2 | David Kampf | 50 | 0 | 3 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jared Spurgeon | 55 | 1 | 3 | 1 | |
2 | Darnell Nurse | 45 | 1 | 3 | 1 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 3 | 1 | Jared Spurgeon | 55 | 1 | 3 | 1 | ||
2 | 45 | 0 | 3 | 2 | Darnell Nurse | 45 | 1 | 3 | 1 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jared Spurgeon | 55 | 1 | 2 | 2 | |
2 | Sean Durzi | Ethan Bear | 45 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jared Spurgeon |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jared Spurgeon |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | David Kampf, |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Darnell Nurse, , Jared Spurgeon | Ethan Bear, Sean Durzi |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#1 : Matt Murray, #2 : |
Custom OT Lines Forwards |
---|
, , , , , , , , Alexander Kerfoot, David Kampf, |
Custom OT Lines Defensemen |
---|
Jared Spurgeon, , Sean Durzi, Ethan Bear, Darnell Nurse |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 23,560,000$ | 10,560,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 100,000,000$ | 100,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Mathieu Cataford | Maple Leafs | 2023 | 77 |
Year | R1 | R2 | R3 | R4 |
---|---|---|---|---|
26 | ||||
27 | ||||
28 | ||||
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mitchell Marner | 1476 | 805 | 1234 | 2039 | 345 | 422 | 2745 | 1960 | 6046 | 13.31% | 745 | 29265 | 19.83 | 211 | 312 | 523 | 769 | 1 | 0 | 1 | 41 | 105 | 120 | 44.29% | 53 | 1.39 | 82 | 190 |
2 | Claude Giroux | 1475 | 911 | 1088 | 1999 | 223 | 1217 | 2611 | 3190 | 6134 | 14.85% | 615 | 28500 | 19.32 | 231 | 300 | 531 | 719 | 0 | 1 | 1 | 3 | 117 | 55 | 58.78% | 49 | 1.40 | 69 | 185 |
3 | William Nylander | 1344 | 608 | 704 | 1312 | -176 | 368 | 1760 | 1840 | 5312 | 11.45% | 512 | 23934 | 17.81 | 160 | 208 | 368 | 608 | 0 | 0 | 0 | 0 | 112 | 16 | 47.75% | 0 | 1.10 | 32 | 112 |
4 | Dylan Strome | 1384 | 524 | 643 | 1167 | 347 | 394 | 1934 | 2027 | 3424 | 15.30% | 503 | 22461 | 16.23 | 149 | 184 | 333 | 423 | 0 | 0 | 0 | 0 | 51 | 48 | 46.45% | 16 | 1.04 | 64 | 145 |
5 | James van Riemsdyk | 1312 | 496 | 560 | 1056 | 240 | 1072 | 2400 | 1712 | 3600 | 13.78% | 368 | 23038 | 17.56 | 96 | 64 | 160 | 288 | 0 | 0 | 0 | 64 | 128 | 16 | 49.40% | 0 | 0.92 | 0 | 32 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Antti Raanta | 896 | 496 | 304 | 64 | 0.907 | 2.80 | 52731 | 0 | 16 | 2464 | 26576 | 12384 | 64 | 0 | 0.667 | 336 |
2 | Matt Murray | 547 | 322 | 151 | 24 | 0.904 | 2.93 | 29804 | 4 | 0 | 1456 | 15093 | 7176 | 20 | 0 | 0.830 | 194 |
3 | Mackenzie Blackwood | 77 | 41 | 24 | 11 | 0.916 | 2.62 | 4624 | 6 | 1 | 202 | 2408 | 1095 | 9 | 0 | 0.764 | 55 |
4 | Kevin Lankinen | 45 | 15 | 19 | 4 | 0.901 | 3.08 | 2359 | 2 | 0 | 121 | 1223 | 670 | 1 | 0 | 0 | 0 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 82 | 34 | 27 | 0 | 4 | 4 | 5 | 8 | 253 | 227 | 26 | 41 | 15 | 14 | 0 | 3 | 2 | 4 | 3 | 129 | 125 | 4 | 41 | 19 | 13 | 0 | 1 | 2 | 1 | 5 | 124 | 102 | 22 | 98 | 253 | 409 | 662 | 0 | 1 | 46 | 103 | 95 | 14 | 2660 | 805 | 939 | 893 | 78 | 2593 | 865 | 717 | 2297 | 217 | 56 | 25.81% | 266 | 52 | 80.45% | 3 | 953 | 1903 | 50.08% | 939 | 1943 | 48.33% | 563 | 1158 | 48.62% | 1804 | 1051 | 1748 | 756 | 1447 | 712 |
22 | 82 | 27 | 40 | 0 | 4 | 10 | 0 | 1 | 215 | 253 | -38 | 41 | 11 | 24 | 0 | 2 | 4 | 0 | 0 | 105 | 131 | -26 | 41 | 16 | 16 | 0 | 2 | 6 | 0 | 1 | 110 | 122 | -12 | 73 | 215 | 335 | 550 | 0 | 0 | 40 | 89 | 82 | 4 | 2520 | 719 | 921 | 863 | 20 | 2659 | 939 | 444 | 2251 | 216 | 51 | 23.61% | 223 | 51 | 77.13% | 0 | 956 | 1822 | 52.47% | 871 | 1619 | 53.80% | 612 | 1162 | 52.67% | 1724 | 982 | 1782 | 754 | 1439 | 713 |
23 | 82 | 39 | 27 | 0 | 4 | 1 | 7 | 4 | 288 | 240 | 48 | 41 | 18 | 14 | 0 | 2 | 0 | 4 | 3 | 143 | 124 | 19 | 41 | 21 | 13 | 0 | 2 | 1 | 3 | 1 | 145 | 116 | 29 | 105 | 288 | 438 | 726 | 0 | 1 | 70 | 101 | 106 | 17 | 2699 | 849 | 868 | 954 | 60 | 2505 | 807 | 791 | 2042 | 264 | 57 | 21.59% | 287 | 51 | 82.23% | 5 | 1019 | 1862 | 54.73% | 978 | 1889 | 51.77% | 652 | 1197 | 54.47% | 1807 | 1042 | 1722 | 757 | 1452 | 729 |
23 | 82 | 39 | 27 | 0 | 4 | 1 | 7 | 4 | 288 | 240 | 48 | 41 | 18 | 14 | 0 | 2 | 0 | 4 | 3 | 143 | 124 | 19 | 41 | 21 | 13 | 0 | 2 | 1 | 3 | 1 | 145 | 116 | 29 | 105 | 288 | 438 | 726 | 0 | 1 | 70 | 101 | 106 | 17 | 2699 | 849 | 868 | 954 | 60 | 2505 | 807 | 791 | 2042 | 264 | 57 | 21.59% | 287 | 51 | 82.23% | 5 | 1019 | 1862 | 54.73% | 978 | 1889 | 51.77% | 652 | 1197 | 54.47% | 1807 | 1042 | 1722 | 757 | 1452 | 729 |
23 | 82 | 39 | 27 | 0 | 4 | 1 | 7 | 4 | 288 | 240 | 48 | 41 | 18 | 14 | 0 | 2 | 0 | 4 | 3 | 143 | 124 | 19 | 41 | 21 | 13 | 0 | 2 | 1 | 3 | 1 | 145 | 116 | 29 | 105 | 288 | 438 | 726 | 0 | 1 | 70 | 101 | 106 | 17 | 2699 | 849 | 868 | 954 | 60 | 2505 | 807 | 791 | 2042 | 264 | 57 | 21.59% | 287 | 51 | 82.23% | 5 | 1019 | 1862 | 54.73% | 978 | 1889 | 51.77% | 652 | 1197 | 54.47% | 1807 | 1042 | 1722 | 757 | 1452 | 729 |
23 | 82 | 39 | 27 | 0 | 4 | 1 | 7 | 4 | 288 | 240 | 48 | 41 | 18 | 14 | 0 | 2 | 0 | 4 | 3 | 143 | 124 | 19 | 41 | 21 | 13 | 0 | 2 | 1 | 3 | 1 | 145 | 116 | 29 | 105 | 288 | 438 | 726 | 0 | 1 | 70 | 101 | 106 | 17 | 2699 | 849 | 868 | 954 | 60 | 2505 | 807 | 791 | 2042 | 264 | 57 | 21.59% | 287 | 51 | 82.23% | 5 | 1019 | 1862 | 54.73% | 978 | 1889 | 51.77% | 652 | 1197 | 54.47% | 1807 | 1042 | 1722 | 757 | 1452 | 729 |
Total Regular Season | 492 | 217 | 175 | 0 | 24 | 18 | 33 | 25 | 1620 | 1440 | 180 | 246 | 98 | 94 | 0 | 13 | 6 | 20 | 15 | 806 | 752 | 54 | 246 | 119 | 81 | 0 | 11 | 12 | 13 | 10 | 814 | 688 | 126 | 591 | 1620 | 2496 | 4116 | 0 | 5 | 366 | 596 | 601 | 86 | 15976 | 4920 | 5332 | 5572 | 338 | 15272 | 5032 | 4325 | 12716 | 1489 | 335 | 22.50% | 1637 | 307 | 81.25% | 23 | 5985 | 11173 | 53.57% | 5722 | 11118 | 51.47% | 3783 | 7108 | 53.22% | 10758 | 6202 | 10419 | 4539 | 8697 | 4342 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 18 | 11 | 7 | 0 | 0 | 0 | 0 | 0 | 51 | 48 | 3 | 9 | 7 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 21 | 4 | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 26 | 27 | -1 | 22 | 51 | 80 | 131 | 0 | 0 | 10 | 19 | 18 | 4 | 635 | 199 | 216 | 207 | 13 | 588 | 205 | 89 | 477 | 52 | 15 | 28.85% | 42 | 7 | 83.33% | 1 | 240 | 460 | 52.17% | 217 | 405 | 53.58% | 123 | 256 | 48.05% | 400 | 240 | 400 | 165 | 310 | 153 |
23 | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 37 | 41 | -4 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 19 | 28 | -9 | 14 | 37 | 61 | 98 | 0 | 1 | 10 | 15 | 12 | 0 | 452 | 109 | 192 | 150 | 1 | 448 | 142 | 106 | 324 | 28 | 8 | 28.57% | 43 | 11 | 74.42% | 1 | 154 | 311 | 49.52% | 163 | 322 | 50.62% | 90 | 187 | 48.13% | 290 | 167 | 305 | 132 | 246 | 115 |
Total Playoff | 32 | 18 | 14 | 0 | 0 | 0 | 0 | 0 | 88 | 89 | -1 | 15 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 43 | 34 | 9 | 17 | 7 | 10 | 0 | 0 | 0 | 0 | 0 | 45 | 55 | -10 | 36 | 88 | 141 | 229 | 0 | 1 | 20 | 34 | 30 | 4 | 1087 | 308 | 408 | 357 | 14 | 1036 | 347 | 195 | 801 | 80 | 23 | 28.75% | 85 | 18 | 78.82% | 2 | 394 | 771 | 51.10% | 380 | 727 | 52.27% | 213 | 443 | 48.08% | 690 | 407 | 705 | 298 | 556 | 269 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mitch Marner | 32 | 13 | 20 | 33 | -10 | 6 | 47 | 54 | 128 | 10.16% | 15 | 624 | 19.52 | 6 | 8 | 14 | 14 | 0 | 1 | 1 | 1 | 3 | 1 | 20.00% | 1 | 1.06 | 0 | 0 |
2 | Claude Giroux | 32 | 14 | 18 | 32 | -10 | 6 | 49 | 65 | 131 | 10.69% | 15 | 610 | 19.09 | 5 | 8 | 13 | 15 | 0 | 0 | 0 | 1 | 2 | 2 | 58.25% | 1 | 1.05 | 0 | 0 |
3 | Jeff Petry | 18 | 4 | 10 | 14 | -4 | 8 | 38 | 28 | 57 | 7.02% | 24 | 470 | 26.15 | 3 | 2 | 5 | 5 | 0 | 0 | 0 | 1 | 1 | 1 | 0% | 0 | 0.59 | 0 | 0 |
4 | Nick Suzuki | 18 | 2 | 10 | 12 | -4 | 4 | 33 | 28 | 59 | 3.39% | 6 | 304 | 16.94 | 1 | 3 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 47.13% | 0 | 0.79 | 0 | 0 |
5 | William Nylander | 14 | 5 | 5 | 10 | 0 | 15 | 15 | 17 | 50 | 10.00% | 4 | 216 | 15.43 | 2 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 35.29% | 0 | 0.93 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mackenzie Blackwood | 18 | 11 | 6 | 1 | 0.916 | 2.65 | 1086 | 4 | 0 | 48 | 571 | 279 | 1 | 0 | 0 | 0 |
2 | Matt Murray | 12 | 6 | 3 | 1 | 0.926 | 2.34 | 616 | 0 | 1 | 24 | 323 | 141 | 0 | 0 | 0 | 0 |
3 | Antti Raanta | 5 | 1 | 3 | 0 | 0.864 | 4.55 | 224 | 0 | 0 | 17 | 125 | 52 | 0 | 0 | 0 | 0 |
4 | Kevin Lankinen | 1 | 0 | 0 | 0 | 1.000 | 0 | 23 | 0 | 0 | 0 | 17 | 12 | 0 | 0 | 0 | 0 |