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Full Scoreboard ยป |
Toronto Maple Leafs 1-1-0, 2pts · 6th in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 54 | 15 | 74 | 95 | 66 | 99 | 98 | 96 | 22 | 99 | 98 | 45 | 69 | 70 | 74 | 84 | 50 | 80 | 27 | 9,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 49 | 10 | 84 | 91 | 76 | 92 | 95 | 90 | 79 | 94 | 80 | 44 | 84 | 71 | 74 | 77 | 50 | 76 | 28 | 7,800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 54 | 12 | 93 | 84 | 71 | 96 | 94 | 82 | 84 | 73 | 72 | 69 | 61 | 76 | 81 | 77 | 50 | 74 | 30 | 3,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 18 | 89 | 91 | 64 | 71 | 84 | 75 | 23 | 86 | 88 | 59 | 25 | 67 | 69 | 76 | 50 | 73 | 24 | 6,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 51 | 41 | 94 | 77 | 81 | 91 | 94 | 85 | 75 | 77 | 79 | 61 | 78 | 46 | 46 | 93 | 50 | 72 | 21 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 13 | 92 | 84 | 70 | 85 | 96 | 63 | 88 | 69 | 79 | 62 | 25 | 73 | 75 | 76 | 50 | 70 | 29 | 2,150,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 52 | 11 | 89 | 86 | 63 | 88 | 98 | 71 | 68 | 68 | 86 | 53 | 25 | 68 | 72 | 78 | 50 | 70 | 30 | 5,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 22 | 89 | 86 | 74 | 83 | 95 | 69 | 33 | 74 | 81 | 40 | 75 | 65 | 67 | 70 | 50 | 69 | 24 | 2,000,000$/4yrs | |||
![]() | 36 | LW/RW | 100.00 | 72 | 39 | 82 | 71 | 81 | 78 | 93 | 59 | 38 | 59 | 68 | 64 | 57 | 79 | 84 | 72 | 54 | 66 | 35 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 15 | 91 | 71 | 80 | 80 | 60 | 66 | 77 | 59 | 59 | 72 | 45 | 76 | 79 | 5 | 54 | 65 | 32 | 775,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 27 | 93 | 72 | 75 | 82 | 73 | 63 | 51 | 65 | 58 | 66 | 25 | 73 | 77 | 66 | 54 | 65 | 33 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 30 | 56 | 74 | 92 | 99 | 73 | 84 | 25 | 73 | 48 | 78 | 25 | 81 | 84 | 69 | 50 | 74 | 35 | 3,750,000$/4yrs | |||
![]() | 0 | D | 100.00 | 83 | 49 | 71 | 83 | 89 | 87 | 91 | 59 | 25 | 49 | 49 | 85 | 25 | 69 | 70 | 58 | 50 | 74 | 25 | 4,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 88 | 30 | 71 | 73 | 76 | 88 | 93 | 60 | 25 | 56 | 50 | 98 | 25 | 58 | 59 | 62 | 50 | 74 | 25 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 14 | 76 | 76 | 70 | 93 | 79 | 58 | 25 | 62 | 49 | 91 | 25 | 58 | 60 | 65 | 50 | 70 | 29 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 13 | 93 | 77 | 88 | 80 | 80 | 57 | 25 | 51 | 49 | 89 | 25 | 55 | 55 | 59 | 50 | 69 | 27 | 1,450,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 71 | 12 | 91 | 86 | 68 | 78 | 87 | 84 | 28 | 84 | 82 | 64 | 25 | 72 | 76 | 79 | 50 | 74 | 28 | 4,250,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 59 | 40 | 65 | 78 | 68 | 75 | 86 | 70 | 63 | 61 | 67 | 52 | 70 | 47 | 47 | 87 | 52 | 63 | 22 | 809,167$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 20 | 73 | 89 | 84 | 99 | 99 | 80 | 25 | 65 | 78 | 80 | 80 | 77 | 78 | 64 | 50 | 78 | 27 | 7,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 54 | 35 | 92 | 70 | 72 | 87 | 80 | 53 | 25 | 46 | 45 | 70 | 43 | 48 | 48 | 53 | 50 | 62 | 23 | 775,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 62 | 23 | 83 | 81 | 75 | 87 | 87 | 71 | 45 | 69 | 68 | 67 | 46 | 66 | 69 | 69 | 51 | 71 |
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 | 79 | 93 | 99 | 90 | 83 | 81 | 68 | 80 | 82 | 81 | 76 | 71 | 72 | 81 | 50 | 79 | 34 | 2,750,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 87 | 85 | 81 | 81 | 83 | 91 | 90 | 85 | 89 | 81 | 85 | 57 | 57 | 71 | 50 | 80 | 27 | 3,250,000$/4yrs |
TEAM AVERAGE | 100.00 | 83 | 89 | 90 | 86 | 83 | 86 | 79 | 83 | 86 | 81 | 81 | 64 | 65 | 76 | 50 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 63 | 76 | 97 | 64 | 98 | 75 | 70 | CAN | 49 | 3 | 2,500,000$ |
General Manager | Chris Walsh |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nikita Kucherov | 0 | RW | 2 | 2 | 1 | 3 | 2 | 0 | 0 | 1 | 13 | 2 | 3 | 15.38% | 0 | 18.52 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 1 | 0 | 0 | 0 | 1.62 | 0 | 0 | |
2 | Evgeny Kuznetsov | 0 | C | 2 | 0 | 3 | 3 | 2 | 0 | 0 | 1 | 8 | 3 | 8 | 0.00% | 0 | 18.40 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 46.67% | 30 | 0 | 0 | 0 | 0 | 1.63 | 0 | 0 | |
3 | Dougie Hamilton | 0 | D | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 4 | 6 | 6 | 2 | 0.00% | 4 | 24.27 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.82 | 0 | 0 | |
4 | Tyler Johnson | 0 | C/LW/RW | 2 | 1 | 1 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 100.00% | 0 | 18.40 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 1 | 2 | 0 | 0 | 1.09 | 0 | 0 | |
5 | Cody Eakin | 0 | C | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 7 | 1 | 0 | 0.00% | 2 | 16.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.22% | 45 | 0 | 1 | 0 | 0 | 0.61 | 0 | 0 | |
6 | Dustin Byfuglien | 0 | D | 2 | 0 | 1 | 1 | 0 | 2 | 0 | 3 | 6 | 2 | 3 | 0.00% | 5 | 25.00 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.40 | 0 | 0 | |
7 | Patrik Berglund | 0 | C/LW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 1 | 1 | 0 | 100.00% | 0 | 7.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 1.28 | 0 | 0 | |
8 | Jaden Schwartz | 0 | LW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 3 | 2 | 4 | 33.33% | 0 | 17.42 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 1 | 1 | 0 | 0 | 0.57 | 0 | 0 | |
9 | Owen Tippett | 0 | LW/RW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 10 | 3 | 3 | 0.00% | 0 | 16.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 1 | 0 | 0 | 0.61 | 0 | 0 | |
10 | Trevor Lewis | 0 | C/RW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 2 | 7.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 1.32 | 0 | 0 | |
11 | Troy Brouwer | 36 | LW/RW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 3 | 0 | 2 | 33.33% | 3 | 7.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 1.42 | 0 | 0 | |
12 | Michal Kempny | 0 | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 3 | 13.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
13 | Jakub Vrana | 0 | LW/RW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 4 | 8 | 1 | 5 | 12.50% | 1 | 17.94 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 3 | 4 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
14 | Jaycob Megna | 0 | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 2 | 13.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.73 | 0 | 0 | |
15 | Robert Hagg | 0 | D | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 0.00% | 1 | 19.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.52 | 0 | 0 | |
16 | Derek Stepan | 0 | C | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 1 | 1 | 0.00% | 1 | 17.50 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 50 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Nikolaj Ehlers | 0 | LW/RW | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 11 | 2 | 5 | 0.00% | 0 | 17.34 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Nikita Zadorov | 0 | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 4 | 1 | 0 | 0.00% | 4 | 21.74 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 36 | 7 | 14 | 21 | 5 | 4 | 0 | 37 | 90 | 25 | 39 | 7.78% | 28 | 16.61 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 8 | 1 | 0 | 43.15% | 146 | 16 | 15 | 0 | 0 | 0.70 | 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 | David Rittich | Maple Leafs | 2 | 1 | 1 | 0 | 0.875 | 3.50 | 120 | 0 | 0 | 7 | 56 | 16 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Team Total or Average | 2 | 1 | 1 | 0 | 0.875 | 3.50 | 120 | 0 | 0 | 7 | 56 | 16 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 43 | 17 | 13 | 13 | 0 | 29 | 17 | 2 | 15 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 27 | 66 | 40.91% | 23 | 53 | 43.40% | 13 | 27 | 48.15% | 23 | 15 | 20 | 8 | 15 | 7 | 71.4% | 11.6% | 89.7% | 101.3 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 47 | 19 | 10 | 18 | 0 | 27 | 11 | 2 | 22 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 27 | 66 | 40.91% | 23 | 53 | 43.40% | 13 | 27 | 48.15% | 23 | 15 | 19 | 7 | 16 | 8 | 33.3% | 4.3% | 85.2% | 89.4 | Unlucky | |
_Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 43 | 17 | 13 | 13 | 0 | 29 | 17 | 2 | 15 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 27 | 66 | 40.91% | 23 | 53 | 43.40% | 13 | 27 | 48.15% | 23 | 15 | 20 | 8 | 15 | 7 | 71.4% | 11.6% | 89.7% | 101.3 | FUN | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 90 | 36 | 23 | 31 | 0 | 56 | 28 | 4 | 37 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 27 | 66 | 40.91% | 23 | 53 | 43.40% | 13 | 27 | 48.15% | 47 | 31 | 40 | 15 | 32 | 15 | 53.8% | 7.8% | 87.5% | 95.3 | Unlucky | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 90 | 36 | 23 | 31 | 0 | 56 | 28 | 4 | 37 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 27 | 66 | 40.91% | 23 | 53 | 43.40% | 13 | 27 | 48.15% | 47 | 31 | 40 | 15 | 32 | 15 | 53.8% | 7.8% | 87.5% | 95.3 | Unlucky | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 90 | 36 | 23 | 31 | 0 | 56 | 28 | 4 | 37 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 27 | 66 | 40.91% | 23 | 53 | 43.40% | 13 | 27 | 48.15% | 47 | 31 | 40 | 15 | 32 | 15 | 53.8% | 7.8% | 87.5% | 95.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 66 |
Neutral Zone Start | 27 |
Defensive Zone Start | 53 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 63 |
Faceoffs Lost | 83 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 18.0 | 9.57 |
2nd Period | 29.5 | 20.31 |
3rd Period | 45.0 | 30.68 |
Overtime | 45.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 7 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 0 |
PK Attempt | 2 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 45.0 |
Shots Against | 28.0 |
Goals For | 3.5 |
Goals Against | 3.5 |
Hits | 18.5 |
Shots Blocked | 14.0 |
Pim | 2.0 |
Projected Total Cap Hit | 74,734,167$ |
Projected Cap Space | 11,765,833$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 2,153,270$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 | 2020-2021 |
---|---|---|---|---|---|---|---|---|---|---|---|
Cody Eakin ![]() | C | 29 | 2,150,000$ | 2,150,000$ | |||||||
David Rittich | D | 27 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Derek Stepan | C | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
Devan Dubnyk | D | 34 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Dougie Hamilton | D | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||
Dustin Byfuglien | D | 35 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||
Evgeny Kuznetsov | C | 28 | 7,800,000$ | 7,800,000$ | 7,800,000$ | ||||||
Jaden Schwartz | LW | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||
Jakub Vrana ![]() | LW/RW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
Jaycob Megna ![]() | D | 27 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | |||||
Michal Kempny ![]() | D | 29 | 2,500,000$ | 2,500,000$ | |||||||
Mitchell Vande Sompel ![]() | D | 23 | 775,000$ | 775,000$ | 775,000$ | ||||||
Nikita Kucherov | RW | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | ||||||
Nikita Zadorov | D | 25 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Nikolaj Ehlers | LW/RW | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Oskar Steen ![]() | RW | 22 | 809,167$ | 809,167$ | |||||||
Owen Tippett ![]() | LW/RW | 21 | 925,000$ | 925,000$ | |||||||
Patrik Berglund ![]() | C/LW | 32 | 775,000$ | 775,000$ | |||||||
Robert Hagg | D | 25 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Trevor Lewis ![]() | C/RW | 33 | 775,000$ | 775,000$ | |||||||
Troy Brouwer ![]() | LW/RW | 35 | 775,000$ | 775,000$ | |||||||
Tyler Johnson | C/LW/RW | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ |
Forward Lines | |||||||
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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 | Lien |
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Alexander Pashin | 3 | 45 | |||
Charles Beaudoin | 2 | 64 | |||
Colby Ambrosio | 3 | 77 | |||
Dawson Mercer | 2 | 7 | |||
Dylan Peterson | 3 | 55 | |||
Ilya Solovyov | 3 | 79 | |||
Kyle Capobianco | 1 | ||||
Mikhail Berdin | 1 | ||||
Ostap Safin | 1 | ||||
Zachary Uens | 2 | 81 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
74,734,167$ | 0$ | 74,734,167$ | 11,765,833$ |
Arena | Goal Horn | About us | |
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![]() | Name | Scotiabank Arena | |
City | Toronto | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 250$ | 125$ | 90$ | 75$ | 400$ |
Attendance | 6000 | 5000 | 1834 | 3415 | 1000 |
Attendance PCT | 100.00% | 100.00% | 91.70% | 85.38% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 17249 - 95.83% | 4,389,816$ | 4,389,816$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
74,734,167$ | 74,734,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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2,222,235$ | 74,734,167$ | 2,153,270$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
175,592,640$ | 141 | 532,649$ | 75,103,509$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
79,713,113$ | 74,734,167$ | 209,205,442$ | 315,164,969$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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4 | ||||
5 | ||||
6 | ||||
7 | ||||
8 |
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