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Full Scoreboard »» |
![]() | Toronto Maple Leafs 5-2-0, 10pts · 6th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW | 99.00 | 75 | 47 | 79 | 78 | 81 | 87 | 87 | 87 | 40 | 80 | 82 | 69 | 82 | 86 | 82 | 1 | 78 | 28 | 6,000,000$/2yrs | |||||
![]() | C | 99.00 | 64 | 47 | 85 | 77 | 81 | 88 | 90 | 83 | 86 | 76 | 77 | 75 | 79 | 89 | 82 | 1 | 77 | 32 | 6,500,000$/2yrs | |||||
![]() | RW | 100.00 | 78 | 61 | 70 | 75 | 73 | 86 | 92 | 80 | 70 | 75 | 75 | 69 | 77 | 90 | 82 | 1 | 76 | 36 | 5,000,000$/2yrs | |||||
![]() | C | 100.00 | 77 | 50 | 72 | 75 | 80 | 85 | 94 | 80 | 79 | 74 | 71 | 76 | 75 | 89 | 79 | 1 | 76 | 34 | 4,500,000$/2yrs | |||||
![]() | C/LW | 100.00 | 79 | 54 | 68 | 75 | 89 | 85 | 83 | 81 | 76 | 75 | 72 | 75 | 76 | 69 | 59 | 1 | 75 | 24 | 2,300,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 74 | 47 | 88 | 78 | 75 | 84 | 90 | 79 | 54 | 72 | 70 | 74 | 76 | 84 | 74 | 1 | 74 | 30 | 3,000,000$/4yrs | |||||
![]() | C/RW | 100.00 | 64 | 54 | 82 | 74 | 77 | 83 | 91 | 76 | 56 | 69 | 70 | 69 | 74 | 91 | 81 | 1 | 73 | 33 | 2,400,000$/3yrs | |||||
![]() | RW | 100.00 | 86 | 50 | 75 | 73 | 80 | 84 | 90 | 72 | 45 | 67 | 66 | 74 | 70 | 91 | 87 | 1 | 73 | 35 | 3,000,000$/2yrs | |||||
![]() | C/LW | 100.00 | 76 | 62 | 73 | 75 | 76 | 81 | 88 | 78 | 67 | 75 | 69 | 70 | 74 | 82 | 72 | 1 | 73 | 29 | 2,100,000$/1yrs | |||||
![]() | C/RW | 100.00 | 66 | 43 | 78 | 74 | 81 | 86 | 77 | 75 | 43 | 72 | 66 | 71 | 72 | 69 | 59 | 1 | 71 | 27 | 2,200,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 67 | 43 | 89 | 75 | 80 | 81 | 78 | 74 | 47 | 72 | 67 | 67 | 72 | 64 | 54 | 1 | 70 | 24 | 1,850,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 59 | 43 | 80 | 75 | 73 | 83 | 80 | 72 | 43 | 70 | 65 | 66 | 71 | 79 | 69 | 1 | 70 | 29 | 2,000,000$/4yrs | |||||
![]() | D | 100.00 | 76 | 58 | 69 | 84 | 87 | 92 | 89 | 88 | 40 | 79 | 76 | 94 | 83 | 82 | 78 | 1 | 83 | 28 | 6,400,000$/2yrs | |||||
![]() | D | 100.00 | 69 | 50 | 72 | 75 | 86 | 92 | 90 | 92 | 40 | 84 | 80 | 87 | 82 | 95 | 87 | 1 | 82 | 38 | 7,500,000$/4yrs | |||||
![]() | D | 100.00 | 74 | 50 | 79 | 74 | 90 | 94 | 88 | 83 | 40 | 78 | 67 | 90 | 75 | 79 | 75 | 1 | 80 | 30 | 6,000,000$/4yrs | |||||
![]() | D | 100.00 | 72 | 54 | 73 | 75 | 80 | 86 | 85 | 77 | 40 | 74 | 67 | 76 | 73 | 79 | 69 | 1 | 75 | 30 | 3,500,000$/4yrs | |||||
![]() | D | 100.00 | 72 | 50 | 72 | 74 | 81 | 86 | 84 | 75 | 40 | 69 | 65 | 79 | 71 | 74 | 64 | 1 | 74 | 32 | 2,900,000$/3yrs | |||||
![]() | D | 100.00 | 66 | 73 | 66 | 73 | 81 | 83 | 84 | 69 | 40 | 64 | 60 | 74 | 67 | 86 | 76 | 1 | 72 | 30 | 2,500,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.89 | 72 | 52 | 76 | 76 | 81 | 86 | 87 | 79 | 53 | 74 | 70 | 75 | 75 | 82 | 74 | 1 | 75 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 84 | 93 | 94 | 74 | 92 | 89 | 87 | 87 | 88 | 90 | 86 | 88 | 81 | 1 | 80 | 34 | 7,000,000$/3yrs | |
![]() | 0 | 100.00 | 81 | 81 | 80 | 95 | 79 | 79 | 74 | 79 | 81 | 80 | 80 | 77 | 70 | 1 | 74 | 29 | 2,700,000$/4yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 83 | 87 | 87 | 85 | 86 | 84 | 81 | 83 | 85 | 85 | 83 | 83 | 76 | 1 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 75 | 77 | 90 | 85 | 82 | 82 | 1 | USA | 55 | 3 | 1,500,000$ |
General Manager | Christian Sevigny |
---|
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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan O'Reilly | ![]() | 0 | C | 7 | 3 | 5 | 8 | 0 | 0 | 0 | 16 | 22 | 11 | 10 | 13.64% | 1 | 20.09 | 0 | 1 | 1 | 1 | 0 | 1 | 16 | 1 | 0 | 61.38% | 0 | 0 | 1.14 | 0 | 0 | 1.18 | ||
2 | Michael Rasmussen | ![]() | 0 | C/LW | 7 | 3 | 3 | 6 | 4 | 0 | 0 | 18 | 25 | 6 | 5 | 12.00% | 0 | 15.83 | 1 | 0 | 1 | 0 | 1 | 1 | 16 | 1 | 0 | 56.94% | 0 | 0 | 0.86 | 0 | 0 | 1.16 | ||
3 | T.J. Oshie | ![]() | 0 | RW | 7 | 2 | 4 | 6 | -1 | 32 | 10 | 13 | 11 | 3 | 10 | 18.18% | 3 | 16.65 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 0 | 0 | 0.86 | 0 | 0 | -0.06 | ||
4 | Matt Nieto | ![]() | 0 | LW/RW | 7 | 2 | 3 | 5 | 3 | 2 | 0 | 2 | 17 | 3 | 7 | 11.76% | 2 | 15.92 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 50.00% | 0 | 0 | 0.71 | 0 | 0 | 0.81 | ||
5 | Filip Forsberg | ![]() | 0 | LW | 7 | 4 | 1 | 5 | -1 | 0 | 0 | 7 | 26 | 10 | 19 | 15.38% | 4 | 17.29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.71 | 0 | 0 | 0.89 | ||
6 | Lars Eller | ![]() | 0 | C | 7 | 1 | 3 | 4 | 1 | 2 | 0 | 11 | 24 | 4 | 9 | 4.17% | 4 | 15.77 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 49.54% | 0 | 0 | 0.57 | 0 | 0 | 0.72 | ||
7 | Sam Gagner | ![]() | 0 | C/RW | 7 | 2 | 1 | 3 | 3 | 2 | 0 | 9 | 15 | 2 | 4 | 13.33% | 2 | 12.53 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 53.33% | 0 | 0 | 0.43 | 0 | 0 | 0.62 | ||
8 | Cal Clutterbuck | ![]() | 0 | RW | 7 | 2 | 1 | 3 | 1 | 2 | 0 | 7 | 9 | 3 | 5 | 22.22% | 0 | 12.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.43 | ||
9 | Brent Burns | ![]() | 0 | D | 7 | 0 | 3 | 3 | -1 | 11 | 5 | 11 | 20 | 4 | 8 | 0.00% | 9 | 22.58 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.28 | ||
10 | Colin Miller | ![]() | 0 | D | 7 | 0 | 3 | 3 | 4 | 14 | 10 | 8 | 3 | 2 | 3 | 0.00% | 3 | 17.24 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.19 | ||
11 | Nick Cousins | ![]() | 0 | C/LW | 7 | 0 | 3 | 3 | 3 | 2 | 0 | 11 | 11 | 4 | 3 | 0.00% | 1 | 11.77 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.43 | 0 | 0 | 0.56 | ||
12 | Emil Bemstrom | ![]() | 0 | LW/RW | 7 | 1 | 1 | 2 | 3 | 0 | 0 | 4 | 12 | 5 | 6 | 8.33% | 1 | 11.08 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 40.00% | 0 | 0 | 0.29 | 0 | 0 | 0.53 | ||
13 | Jan Rutta | ![]() | 0 | D | 7 | 0 | 2 | 2 | 5 | 6 | 0 | 5 | 6 | 2 | 1 | 0.00% | 7 | 18.84 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.41 | ||
14 | Mason Appleton | ![]() | 0 | C/RW | 7 | 1 | 1 | 2 | 3 | 0 | 0 | 2 | 14 | 3 | 5 | 7.14% | 4 | 11.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71.43% | 0 | 0 | 0.29 | 0 | 0 | 0.55 | ||
15 | Darnell Nurse | ![]() | 0 | D | 7 | 0 | 1 | 1 | -3 | 6 | 0 | 8 | 8 | 7 | 3 | 0.00% | 6 | 23.92 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | -0.05 | ||
16 | Vinnie Hinostroza | ![]() | 0 | LW/RW | 7 | 1 | 0 | 1 | 1 | 0 | 0 | 6 | 13 | 5 | 6 | 7.69% | 0 | 11.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.34 | ||
17 | Nathan Beaulieu | ![]() | 0 | D | 7 | 0 | 1 | 1 | 3 | 10 | 0 | 10 | 4 | 2 | 2 | 0.00% | 7 | 15.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.11 | ||
18 | Colton Parayko | ![]() | 0 | D | 7 | 0 | 0 | 0 | 6 | 5 | 5 | 5 | 8 | 2 | 5 | 0.00% | 14 | 22.28 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.37 | ||
Team Total or Average | 126 | 22 | 36 | 58 | 34 | 94 | 30 | 153 | 248 | 78 | 111 | 8.87% | 68 | 16.29 | 2 | 3 | 5 | 120 | 1 | 1 | 2 | 173 | 5 | 0 | 54.71% | 446 | 43 | 49 | 0 | 0 | 0.57 | 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 | Sergei Bobrovsky | ![]() | 6 | 4 | 2 | 0 | 0.920 | 2.34 | 359 | 0 | 0 | 14 | 176 | 69 | 0 | 0 | 0.000 | 0 | 6 | 1 | 1 | 0 | 0 |
2 | Anthony Stolarz | ![]() | 1 | 1 | 0 | 0 | 0.929 | 2.00 | 60 | 0 | 0 | 2 | 28 | 14 | 0 | 0 | 0.000 | 0 | 1 | 6 | 0 | 0 | 0 |
Team Total or Average | 7 | 5 | 2 | 0 | 0.922 | 2.29 | 419 | 0 | 0 | 16 | 204 | 83 | 0 | 0 | 0.000 | 0 | 7 | 7 | 1 | 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 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 7 | 14 | 7 | 0 | 33 | 8 | 11 | 26 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 18 | 9 | 22 | 8 | 18 | 8 | 66.7% | 7.1% | 97.0% | 104.1 | DULL |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 12 | 11 | 9 | 0 | 29 | 13 | 4 | 24 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 20 | 10 | 20 | 9 | 18 | 9 | 25.0% | 3.1% | 89.7% | 92.8 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 35 | 23 | 7 | 5 | 0 | 35 | 7 | 15 | 29 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 21 | 13 | 20 | 8 | 17 | 8 | 42.9% | 8.6% | 88.6% | 97.1 | Unlucky |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 36 | 9 | 15 | 12 | 0 | 19 | 9 | 23 | 14 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 24 | 14 | 17 | 8 | 18 | 9 | 100.0% | 11.1% | 94.7% | 105.8 | LUCKY |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 41 | 9 | 18 | 14 | 0 | 28 | 13 | 18 | 19 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 23 | 15 | 20 | 8 | 15 | 8 | 71.4% | 12.2% | 89.3% | 101.5 | FUN |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 39 | 13 | 15 | 11 | 0 | 28 | 7 | 17 | 21 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 23 | 13 | 17 | 8 | 18 | 9 | 66.7% | 7.7% | 92.9% | 100.5 | DULL |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 37 | 8 | 15 | 14 | 0 | 32 | 11 | 6 | 20 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 21 | 13 | 22 | 8 | 16 | 8 | 66.7% | 10.8% | 93.8% | 104.6 | LUCKY |
_Vs Division | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 3 | 5 | 3 | 0 | 115 | 45 | 40 | 30 | 0 | 91 | 27 | 50 | 69 | 10 | 1 | 10.00% | 15 | 2 | 86.67% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 69 | 41 | 58 | 25 | 51 | 26 | 58.8% | 9.6% | 90.1% | 99.7 | FUN | |
_Vs Conference | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 6 | 0.750 | 15 | 25 | 40 | 0 | 0 | 3 | 8 | 4 | 0 | 152 | 53 | 55 | 44 | 0 | 123 | 38 | 56 | 89 | 10 | 1 | 10.00% | 18 | 2 | 88.89% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 90 | 54 | 80 | 33 | 68 | 34 | 60.9% | 9.9% | 91.1% | 100.9 | Unlucky | |
_Since Last GM Reset | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 16 | 6 | 10 | 0.714 | 22 | 36 | 58 | 0 | 0 | 3 | 13 | 6 | 0 | 248 | 81 | 95 | 72 | 0 | 204 | 68 | 94 | 153 | 16 | 2 | 12.50% | 27 | 3 | 88.89% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 154 | 89 | 141 | 60 | 123 | 61 | 60.6% | 8.9% | 92.2% | 101.0 | Unlucky | |
Total | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 16 | 6 | 10 | 0.714 | 22 | 36 | 58 | 0 | 0 | 3 | 13 | 6 | 0 | 248 | 81 | 95 | 72 | 0 | 204 | 68 | 94 | 153 | 16 | 2 | 12.50% | 27 | 3 | 88.89% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 154 | 89 | 141 | 60 | 123 | 61 | 60.6% | 8.9% | 92.2% | 101.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 180 |
Neutral Zone Start | 102 |
Defensive Zone Start | 164 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 244 |
Faceoffs Lost | 202 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 25.1 | 20.31 |
3rd Period | 35.4 | 30.68 |
Overtime | 35.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 19 |
---|---|
PP Goal | 2 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 2 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 2 |
PK Attempt | 27 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 35.4 |
Shots Against | 29.1 |
Goals For | 3.1 |
Goals Against | 2.3 |
Hits | 21.9 |
Shots Blocked | 9.7 |
Pim | 13.4 |
![]() | |
Projected Total Cap Hit | 79,350,000$ |
Projected Cap Space | 4,150,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 7,025,777$ |
Players In Salary Cap | 20 |
Contracts | 52/50 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Stolarz ![]() | G | 29 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||
Brent Burns ![]() | D | 38 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
Cal Clutterbuck ![]() | RW | 35 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Colin Miller ![]() | D | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Colton Parayko ![]() | D | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Darnell Nurse ![]() | D | 28 | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | |||||
Emil Bemstrom ![]() | LW/RW | 24 | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | UFA | |||
Filip Forsberg ![]() | LW | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Jan Rutta ![]() | D | 32 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||
Lars Eller ![]() | C | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Mason Appleton ![]() | C/RW | 27 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | ||||
Matt Nieto ![]() | LW/RW | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Michael Rasmussen ![]() | C/LW | 24 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | ![]() | ||||
Nathan Beaulieu ![]() | D | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Nick Cousins ![]() | C/LW | 29 | 2,100,000$ | 2,100,000$ | UFA | ||||||
Ryan O'Reilly ![]() | C | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Sam Gagner ![]() | C/RW | 33 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | ||||
Sergei Bobrovsky ![]() | G | 34 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
T.J. Oshie ![]() | RW | 36 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Vinnie Hinostroza ![]() | LW/RW | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula ![]() | D | 22 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | ![]() | ||||
Andy Welinski ![]() | D | 30 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Arturs Silovs ![]() | G | 22 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | |||
Brad Richardson ![]() | C | 38 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Brett Seney ![]() | C/LW | 27 | 975,000$ | 975,000$ | UFA | ||||||
Brett Sutter ![]() | LW | 36 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
C.J. Smith ![]() | LW | 28 | 0$ | UFA | |||||||
Dillon Heatherington ![]() | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Dominic Toninato ![]() | C/LW | 29 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Filip Cederqvist ![]() | LW/RW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ![]() | |||
Greg McKegg ![]() | C/LW | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jaydon Dureau ![]() | LW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ![]() | |||
Jermaine Loewen ![]() | RW | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Jiri Patera ![]() | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Joel Blomqvist ![]() | G | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jonah Gadjovich ![]() | LW/RW | 24 | 1,150,000$ | 1,150,000$ | 1,150,000$ | ![]() | |||||
Kyle Criscuolo ![]() | C | 31 | 975,000$ | 975,000$ | UFA | ||||||
Lassi Thomson ![]() | D | 22 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | ![]() | ||||
Michael Vukojevic ![]() | D | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | ||||
Mitchell Heard ![]() | C | 31 | 975,000$ | 975,000$ | UFA | ||||||
Nick Albano ![]() | D | 26 | 975,000$ | 975,000$ | ![]() | ||||||
Nikita Alexandrov ![]() | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Nolan Yaremko ![]() | LW | 25 | 975,000$ | 975,000$ | ![]() | ||||||
Pat Nagle ![]() | G | 35 | 975,000$ | 975,000$ | UFA | ||||||
Ronnie Attard ![]() | D | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Ryan Merkley ![]() | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Saku Maenalanen ![]() | LW/RW | 29 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Sean Josling ![]() | RW | 24 | 975,000$ | 975,000$ | ![]() | ||||||
Tommy Miller ![]() | D | 24 | 975,000$ | 975,000$ | ![]() | ||||||
Ty Glover ![]() | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
Tyson Feist ![]() | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
Victor Brattstrom ![]() | G | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Ville Koivunen ![]() | RW | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 7 | 14 | 7 | 0 | 33 | 8 | 11 | 26 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 18 | 9 | 22 | 8 | 18 | 8 | 66.7% | 7.1% | 97.0% | 104.1 | DULL |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 12 | 11 | 9 | 0 | 29 | 13 | 4 | 24 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 20 | 10 | 20 | 9 | 18 | 9 | 25.0% | 3.1% | 89.7% | 92.8 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 35 | 23 | 7 | 5 | 0 | 35 | 7 | 15 | 29 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 21 | 13 | 20 | 8 | 17 | 8 | 42.9% | 8.6% | 88.6% | 97.1 | Unlucky |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 36 | 9 | 15 | 12 | 0 | 19 | 9 | 23 | 14 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 24 | 14 | 17 | 8 | 18 | 9 | 100.0% | 11.1% | 94.7% | 105.8 | LUCKY |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 41 | 9 | 18 | 14 | 0 | 28 | 13 | 18 | 19 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 23 | 15 | 20 | 8 | 15 | 8 | 71.4% | 12.2% | 89.3% | 101.5 | FUN |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 39 | 13 | 15 | 11 | 0 | 28 | 7 | 17 | 21 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 23 | 13 | 17 | 8 | 18 | 9 | 66.7% | 7.7% | 92.9% | 100.5 | DULL |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 37 | 8 | 15 | 14 | 0 | 32 | 11 | 6 | 20 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 21 | 13 | 22 | 8 | 16 | 8 | 66.7% | 10.8% | 93.8% | 104.6 | LUCKY |
_Vs Division | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 3 | 5 | 3 | 0 | 115 | 45 | 40 | 30 | 0 | 91 | 27 | 50 | 69 | 10 | 1 | 10.00% | 15 | 2 | 86.67% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 69 | 41 | 58 | 25 | 51 | 26 | 58.8% | 9.6% | 90.1% | 99.7 | FUN | |
_Vs Conference | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 6 | 0.750 | 15 | 25 | 40 | 0 | 0 | 3 | 8 | 4 | 0 | 152 | 53 | 55 | 44 | 0 | 123 | 38 | 56 | 89 | 10 | 1 | 10.00% | 18 | 2 | 88.89% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 90 | 54 | 80 | 33 | 68 | 34 | 60.9% | 9.9% | 91.1% | 100.9 | Unlucky | |
_Since Last GM Reset | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 16 | 6 | 10 | 0.714 | 22 | 36 | 58 | 0 | 0 | 3 | 13 | 6 | 0 | 248 | 81 | 95 | 72 | 0 | 204 | 68 | 94 | 153 | 16 | 2 | 12.50% | 27 | 3 | 88.89% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 154 | 89 | 141 | 60 | 123 | 61 | 60.6% | 8.9% | 92.2% | 101.0 | Unlucky | |
Total | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 16 | 6 | 10 | 0.714 | 22 | 36 | 58 | 0 | 0 | 3 | 13 | 6 | 0 | 248 | 81 | 95 | 72 | 0 | 204 | 68 | 94 | 153 | 16 | 2 | 12.50% | 27 | 3 | 88.89% | 1 | 95 | 180 | 52.78% | 86 | 164 | 52.44% | 63 | 102 | 61.76% | 154 | 89 | 141 | 60 | 123 | 61 | 60.6% | 8.9% | 92.2% | 101.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 180 |
Neutral Zone Start | 102 |
Defensive Zone Start | 164 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 244 |
Faceoffs Lost | 202 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 25.1 | 20.31 |
3rd Period | 35.4 | 30.68 |
Overtime | 35.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 19 |
---|---|
PP Goal | 2 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 2 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 2 |
PK Attempt | 27 |
PK Goal Against | 3 |
Home | |
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Shots For | 35.4 |
Shots Against | 29.1 |
Goals For | 3.1 |
Goals Against | 2.3 |
Hits | 21.9 |
Shots Blocked | 9.7 |
Pim | 13.4 |
Date | Matchup | Result | Detail | |||||||||||
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Mon, Sep 11 | ![]() | @ | ![]() | MTL3,TOR5 | RECAP | |||||||||
Thu, Sep 14 | ![]() | @ | ![]() | MIN1,TOR4 | RECAP | |||||||||
Sat, Sep 16 | ![]() | @ | ![]() | CHI1,TOR2 | RECAP | |||||||||
Tue, Sep 19 | ![]() | @ | ![]() | TOR3,FLO4 | RECAP | |||||||||
Thu, Sep 21 | ![]() | @ | ![]() | TOR3,TAM2 | RECAP | |||||||||
Sun, Sep 24 | ![]() | @ | ![]() | TOR4,WAS2 | RECAP | |||||||||
Tue, Sep 26 | ![]() | @ | ![]() | TOR1,DAL3 | RECAP | |||||||||
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Mon, Feb 5 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Tue, Feb 6 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 8 | ![]() | @ | ![]() | |||||||||||
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Mon, Mar 18 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,350,000$ | 0$ | 79,350,000$ | 4,150,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Air Canada Centre | |
City | Toronto | ||
Capacity | 18819 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2819 | 4000 | 1000 |
Ticket Price | 90$ | 52$ | 33$ | 16$ | 200$ |
Attendance | 16725 | 14457 | 7817 | 12000 | 2979 |
Attendance PCT | 92.92% | 96.38% | 92.43% | 100.00% | 99.30% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 17993 - 95.61% | 1,431,203$ | 4,293,608$ | 18819 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,350,000$ | 79,350,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
7,158,598$ | 79,350,000$ | 7,025,777$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
54,385,701$ | 175 | 421,094$ | 73,691,450$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
77,369,366$ | 79,350,000$ | 49,885,616$ | 26,901,951$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() ![]() | ![]() ![]() | ![]() | |||
2025 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Parsells | ![]() | 2015 | 191 | ||
Adam Werner | ![]() | Link | |||
Ales Stezka | ![]() | 2015 | 115 | ||
Alex Biega | ![]() | Link | |||
Andrew Gibson | ![]() | 2023 | 55 | ||
Anton Andersson | ![]() | 2017 | 207 | ||
David Hrenak | ![]() | 2018 | 182 | ||
Domenic Divincentiis | ![]() | 2022 | 217 | ||
Dru Krebs | ![]() | 2021 | 220 | ||
Henry Rybinski | ![]() | 2019 | 197 | ||
Jakub Malek | ![]() | 2021 | 92 | ||
Jani Nyman | ![]() | 2022 | 57 | ||
Joaquim Lemay | ![]() | 2021 | 159 | ||
Joseph Duszak | ![]() | 2019 | 165 | Link | |
Leevi Aaltonen | ![]() | 2019 | 147 | ||
Magnus Chrona | ![]() | 2018 | 135 | ||
Maksim Sushko | ![]() | 2017 | 158 | Link | |
Maksim Zhukov | ![]() | 2017 | 145 | ||
Malte Setkov | ![]() | 2017 | 144 | ||
Markus Ruusu | ![]() | 2015 | 203 | ||
Matt Lorito | ![]() | Link | |||
Miko Matikka | ![]() | 2022 | 89 | ||
Niklas Kokko | ![]() | 2022 | 64 | ||
Nolan Collins | ![]() | 2022 | 199 | ||
Olof Glifford | ![]() | 2023 | 151 | ||
Owen Beck | ![]() | 2022 | 25 | ||
Remi Elie | ![]() | Link | |||
Rich Clune | ![]() | Link | |||
Samuel Honzek | ![]() | 2023 | 23 | ||
Scott Wilson | ![]() | Link | |||
Sven Baertschi | ![]() | Link | |||
Victor Rask | ![]() | Link | |||
Vladimir Bobylev | ![]() | 2016 | 110 | ||
William Wallinder | ![]() | 2020 | 26 | ||
William von Barnekow-Lofberg | ![]() | 2021 | 188 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() ![]() | ![]() ![]() | ![]() | |||
2025 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Parsells | ![]() | 2015 | 191 | ||
Adam Werner | ![]() | Link | |||
Ales Stezka | ![]() | 2015 | 115 | ||
Alex Biega | ![]() | Link | |||
Andrew Gibson | ![]() | 2023 | 55 | ||
Anton Andersson | ![]() | 2017 | 207 | ||
David Hrenak | ![]() | 2018 | 182 | ||
Domenic Divincentiis | ![]() | 2022 | 217 | ||
Dru Krebs | ![]() | 2021 | 220 | ||
Henry Rybinski | ![]() | 2019 | 197 | ||
Jakub Malek | ![]() | 2021 | 92 | ||
Jani Nyman | ![]() | 2022 | 57 | ||
Joaquim Lemay | ![]() | 2021 | 159 | ||
Joseph Duszak | ![]() | 2019 | 165 | Link | |
Leevi Aaltonen | ![]() | 2019 | 147 | ||
Magnus Chrona | ![]() | 2018 | 135 | ||
Maksim Sushko | ![]() | 2017 | 158 | Link | |
Maksim Zhukov | ![]() | 2017 | 145 | ||
Malte Setkov | ![]() | 2017 | 144 | ||
Markus Ruusu | ![]() | 2015 | 203 | ||
Matt Lorito | ![]() | Link | |||
Miko Matikka | ![]() | 2022 | 89 | ||
Niklas Kokko | ![]() | 2022 | 64 | ||
Nolan Collins | ![]() | 2022 | 199 | ||
Olof Glifford | ![]() | 2023 | 151 | ||
Owen Beck | ![]() | 2022 | 25 | ||
Remi Elie | ![]() | Link | |||
Rich Clune | ![]() | Link | |||
Samuel Honzek | ![]() | 2023 | 23 | ||
Scott Wilson | ![]() | Link | |||
Sven Baertschi | ![]() | Link | |||
Victor Rask | ![]() | Link | |||
Vladimir Bobylev | ![]() | 2016 | 110 | ||
William Wallinder | ![]() | 2020 | 26 | ||
William von Barnekow-Lofberg | ![]() | 2021 | 188 |
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