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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Toronto Freeze 4-4-3, 11pts · 10th in Canadian Conference |
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 | 67 | 43 | 88 | 80 | 76 | 81 | 67 | 94 | 25 | 88 | 80 | 81 | 47 | 74 | 78 | 83 | 75 | 82 | 32 | 9,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 42 | 88 | 90 | 61 | 76 | 95 | 85 | 35 | 83 | 87 | 68 | 85 | 64 | 64 | 85 | 75 | 81 | 22 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 69 | 52 | 84 | 86 | 70 | 78 | 99 | 89 | 86 | 85 | 85 | 64 | 42 | 81 | 84 | 85 | 75 | 80 | 33 | 7,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 57 | 41 | 91 | 80 | 76 | 77 | 99 | 84 | 94 | 82 | 84 | 63 | 48 | 71 | 71 | 83 | 75 | 78 | 27 | 5,000,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 76 | 43 | 89 | 83 | 67 | 75 | 86 | 85 | 37 | 74 | 86 | 67 | 57 | 79 | 83 | 81 | 75 | 78 | 33 | 5,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 42 | 99 | 74 | 68 | 62 | 61 | 67 | 41 | 78 | 80 | 74 | 25 | 45 | 45 | 79 | 75 | 76 | 22 | 925,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 42 | 89 | 86 | 70 | 74 | 86 | 88 | 76 | 77 | 78 | 66 | 25 | 63 | 65 | 78 | 75 | 75 | 23 | 2,900,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 41 | 87 | 83 | 72 | 76 | 98 | 80 | 84 | 82 | 74 | 65 | 69 | 67 | 67 | 77 | 75 | 74 | 25 | 2,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 69 | 43 | 84 | 81 | 81 | 70 | 76 | 67 | 34 | 61 | 77 | 84 | 38 | 70 | 73 | 70 | 75 | 73 | 31 | 450,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 42 | 89 | 84 | 79 | 69 | 57 | 85 | 55 | 63 | 84 | 64 | 85 | 69 | 69 | 75 | 75 | 72 | 26 | 8,700,000$/3yrs | |||
![]() | 0 | C | 100.00 | 83 | 54 | 78 | 81 | 69 | 65 | 98 | 75 | 86 | 74 | 72 | 70 | 79 | 65 | 68 | 73 | 75 | 72 | 27 | 4,000,000$/4yrs | |||
![]() | 76 | C/LW/RW | 100.00 | 81 | 44 | 90 | 84 | 71 | 74 | 93 | 81 | 32 | 75 | 72 | 59 | 84 | 76 | 77 | 73 | 75 | 70 | 31 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 89 | 46 | 77 | 85 | 73 | 93 | 97 | 87 | 25 | 71 | 65 | 78 | 75 | 70 | 70 | 80 | 75 | 81 | 24 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 43 | 88 | 82 | 82 | 86 | 95 | 74 | 25 | 67 | 49 | 82 | 75 | 60 | 60 | 71 | 75 | 76 | 21 | 875,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 57 | 84 | 81 | 69 | 86 | 92 | 65 | 25 | 65 | 48 | 89 | 25 | 69 | 71 | 65 | 75 | 76 | 28 | 4,025,175$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 66 | 83 | 79 | 80 | 83 | 85 | 66 | 25 | 53 | 48 | 92 | 25 | 56 | 56 | 60 | 75 | 74 | 23 | 916,667$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 76 | 73 | 76 | 76 | 69 | 79 | 64 | 25 | 52 | 49 | 92 | 25 | 78 | 79 | 59 | 75 | 72 | 35 | 550,000$/2yrs | |||
![]() | 24 | D | 100.00 | 92 | 60 | 68 | 81 | 67 | 78 | 95 | 66 | 25 | 49 | 48 | 90 | 25 | 76 | 79 | 58 | 75 | 71 | 29 | 1,950,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 86 | 99 | 70 | 83 | 74 | 70 | 71 | 71 | 66 | 59 | 66 | 80 | 25 | 67 | 68 | 63 | 75 | 67 | 26 | 2,750,000$/1yrs | |||
![]() | 25 | LW | 100.00 | 79 | 43 | 92 | 79 | 62 | 55 | 85 | 62 | 33 | 60 | 57 | 79 | 25 | 63 | 65 | 58 | 75 | 62 | 28 | 450,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 45 | 91 | 82 | 75 | 81 | 96 | 63 | 25 | 54 | 50 | 86 | 25 | 65 | 66 | 59 | 75 | 71 | 24 | 2,500,000$/2yrs | |||
![]() | 88 | D | 100.00 | 75 | 43 | 91 | 86 | 70 | 70 | 84 | 74 | 25 | 54 | 48 | 74 | 25 | 74 | 75 | 65 | 75 | 69 | 32 | 450,000$/3yrs | |||
![]() | 46 | D | 100.00 | 89 | 56 | 78 | 76 | 75 | 71 | 88 | 62 | 25 | 49 | 47 | 90 | 25 | 67 | 68 | 56 | 75 | 69 | 30 | 1,400,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 75 | 51 | 85 | 82 | 72 | 75 | 86 | 75 | 44 | 68 | 67 | 76 | 46 | 68 | 70 | 71 | 75 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 68 | 92 | 88 | 67 | 66 | 70 | 69 | 70 | 65 | 68 | 84 | 64 | 65 | 76 | 75 | 79 | 28 | 3,400,000$/2yrs |
![]() | 0 | 100.00 | 66 | 56 | 55 | 77 | 67 | 66 | 75 | 67 | 77 | 67 | 75 | 47 | 48 | 78 | 75 | 72 | 25 | 766,667$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 67 | 74 | 72 | 72 | 67 | 68 | 72 | 69 | 71 | 68 | 80 | 56 | 57 | 77 | 75 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Michael Couto |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dylan Strome | ![]() | 0 | C | 11 | 4 | 7 | 11 | -2 | 2 | 0 | 5 | 26 | 9 | 25 | 15.38% | 0 | 20.08 | 2 | 5 | 7 | 0 | 0 | 0 | 24 | 0 | 0 | 56.18% | 283 | 0 | 0 | 0 | 0 | 1.00 | 0 | 0 |
2 | Lucas Raymond | ![]() | 0 | RW | 11 | 3 | 8 | 11 | -2 | 4 | 0 | 18 | 55 | 9 | 29 | 5.45% | 1 | 17.83 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17.65% | 17 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 |
3 | Mark Stone | ![]() | 0 | RW | 11 | 4 | 5 | 9 | 4 | 8 | 0 | 24 | 48 | 5 | 30 | 8.33% | 2 | 17.81 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 45.83% | 24 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 |
4 | Nazem Kadri | ![]() | 0 | C | 11 | 3 | 5 | 8 | 2 | 8 | 0 | 27 | 50 | 8 | 26 | 6.00% | 0 | 21.33 | 1 | 1 | 2 | 0 | 0 | 0 | 35 | 1 | 0 | 56.99% | 365 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 |
5 | Owen Power | ![]() | 0 | D | 11 | 2 | 5 | 7 | 3 | 2 | 0 | 7 | 15 | 7 | 11 | 13.33% | 14 | 25.83 | 1 | 3 | 4 | 0 | 0 | 0 | 32 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
6 | Alex Vlasic | ![]() | 0 | D | 11 | 2 | 4 | 6 | 0 | 40 | 10 | 11 | 14 | 1 | 8 | 14.29% | 13 | 20.82 | 2 | 1 | 3 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
7 | Casey Mittelstadt | ![]() | 0 | C/LW | 11 | 2 | 3 | 5 | -2 | 2 | 0 | 11 | 27 | 8 | 17 | 7.41% | 0 | 19.17 | 0 | 3 | 3 | 0 | 0 | 0 | 16 | 0 | 0 | 70.59% | 17 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
8 | Rasmus Dahlin | ![]() | 0 | D | 11 | 1 | 4 | 5 | 3 | 20 | 0 | 39 | 24 | 9 | 18 | 4.17% | 18 | 25.39 | 1 | 0 | 1 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
9 | Kyle Palmieri | ![]() | 0 | RW | 11 | 4 | 0 | 4 | -5 | 2 | 0 | 9 | 18 | 5 | 16 | 22.22% | 1 | 9.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
10 | Patrik Laine | ![]() | 0 | LW/RW | 11 | 2 | 1 | 3 | 3 | 0 | 0 | 7 | 22 | 4 | 10 | 9.09% | 1 | 14.53 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 27.78% | 18 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
11 | Josh Doan | ![]() | 0 | C/RW | 11 | 0 | 3 | 3 | -4 | 0 | 0 | 2 | 9 | 3 | 7 | 0.00% | 3 | 10.01 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 42.50% | 120 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
12 | Marcus Pettersson | ![]() | 0 | D | 11 | 1 | 2 | 3 | 0 | 10 | 0 | 21 | 11 | 3 | 8 | 9.09% | 12 | 21.86 | 1 | 2 | 3 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
13 | Alex Newhook | ![]() | 0 | C/LW | 11 | 1 | 1 | 2 | 1 | 0 | 0 | 9 | 31 | 9 | 22 | 3.23% | 3 | 16.62 | 0 | 1 | 1 | 0 | 0 | 0 | 36 | 0 | 0 | 75.00% | 24 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 |
14 | Matt Dumba | ![]() | 24 | D | 11 | 0 | 2 | 2 | -5 | 6 | 0 | 17 | 6 | 4 | 3 | 0.00% | 7 | 12.86 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
15 | Joel Armia | ![]() | 0 | RW | 11 | 1 | 1 | 2 | 1 | 2 | 0 | 1 | 21 | 4 | 14 | 4.76% | 0 | 9.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
16 | Ross Colton | ![]() | 0 | C | 11 | 1 | 1 | 2 | 1 | 4 | 0 | 27 | 12 | 7 | 9 | 8.33% | 0 | 9.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 59.84% | 127 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
17 | Brendan Smith | ![]() | 0 | D | 11 | 0 | 1 | 1 | -5 | 12 | 10 | 2 | 9 | 1 | 4 | 0.00% | 12 | 13.66 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
18 | Rickard Rakell | ![]() | 76 | C/LW/RW | 11 | 0 | 1 | 1 | -3 | 2 | 0 | 12 | 12 | 3 | 3 | 0.00% | 1 | 9.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
Team Total or Average | 198 | 31 | 54 | 85 | -10 | 124 | 20 | 249 | 410 | 99 | 260 | 7.56% | 88 | 16.39 | 11 | 20 | 31 | 360 | 0 | 0 | 0 | 244 | 4 | 1 | 54.20% | 1013 | 0 | 0 | 0 | 0 | 0.52 | 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 | Alexandar Georgiyev | ![]() | 11 | 4 | 4 | 3 | 0.908 | 2.89 | 664 | 0 | 0 | 32 | 346 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 2 | 0 | 0 |
Team Total or Average | 11 | 4 | 4 | 3 | 0.908 | 2.89 | 664 | 0 | 0 | 32 | 346 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 2 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 3.50 | -1.00 | 1 | 0.250 | 2.5 | 4.5 | 7.0 | 0 | 0 | 3 | 1 | 1 | 0 | 35.5 | 26 | 25 | 20 | 0 | 35.5 | 12.0 | 6.00 | 21.5 | 3.50 | 1.00 | 28.57% | 3.00 | 1.50 | 50.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 25.00 | 17.50 | 23.00 | 7.00 | 12.00 | 6.00 | 42.9% | 7.0% | 90.1% | 97.2 | Unlucky |
2 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 3.50 | -1.00 | 1 | 0.250 | 2.5 | 4.5 | 7.0 | 0 | 0 | 4 | 0 | 1 | 0 | 41.5 | 32 | 27 | 24 | 0 | 28.5 | 8.0 | 17.00 | 18.5 | 5.00 | 1.00 | 20.00% | 3.50 | 0.50 | 85.71% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.50 | 17.00 | 22.50 | 7.00 | 12.50 | 6.50 | 33.3% | 6.0% | 87.7% | 93.7 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 0 | 1 | 0 | 35.0 | 6 | 15 | 14 | 0 | 22.0 | 8.0 | 17.00 | 19.0 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 23.00 | 15.00 | 23.00 | 7.00 | 13.00 | 6.00 | 40.0% | 5.7% | 81.8% | 87.5 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.0 | 6.5 | 0 | 0 | 3 | 2 | 0 | 0 | 34.0 | 22 | 26 | 20 | 0 | 37.0 | 9.0 | 9.00 | 20.5 | 2.00 | 0.00 | 0.00% | 4.00 | 0.00 | 100.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.50 | 17.50 | 22.50 | 6.50 | 12.00 | 6.00 | 50.0% | 7.4% | 93.2% | 100.6 | DULL |
5 | ![]() | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2.50 | 2.50 | 0.00 | 3 | 0.750 | 2.5 | 4.5 | 7.0 | 0 | 0 | 3 | 0 | 1 | 1 | 38.0 | 21 | 30 | 23 | 2 | 26.0 | 6.5 | 12.50 | 30.0 | 3.50 | 0.50 | 14.29% | 2.50 | 1.00 | 60.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 25.00 | 17.50 | 23.00 | 7.50 | 13.00 | 6.50 | 57.1% | 6.6% | 90.4% | 97.0 | Unlucky |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 4 | 1.000 | 4.5 | 7.5 | 12.0 | 0 | 0 | 3 | 4 | 2 | 0 | 38.5 | 25 | 32 | 20 | 0 | 35.0 | 4.5 | 9.00 | 24.5 | 7.50 | 3.00 | 40.00% | 4.50 | 1.00 | 77.78% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.00 | 16.50 | 23.50 | 7.50 | 12.00 | 5.50 | 60.0% | 11.7% | 94.3% | 106.0 | LUCKY |
_Vs Division | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky | |
_Vs Conference | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky | |
_Since Last GM Reset | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky | |
Total | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 454 |
Neutral Zone Start | 173 |
Defensive Zone Start | 375 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 549 |
Faceoffs Lost | 453 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 26.1 | 20.31 |
3rd Period | 37.1 | 30.68 |
Overtime | 37.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 2 |
Lost | 1 | 3 |
Overtime Lost | 2 | 1 |
PP Attempt | 45 |
---|---|
PP Goal | 11 |
PK Attempt | 39 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 37.3 |
Shots Against | 31.5 |
Goals For | 2.8 |
Goals Against | 2.9 |
Hits | 22.6 |
Shots Blocked | 8.0 |
Pim | 11.3 |
![]() | |
Total Salaries | 79,608,509$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 56 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 19 |
LTIR Players | 0 |
Freeze Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook | C/LW | 23 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | RFA | |||
Alex Vlasic | D | 23 | 916,667$ | 916,667$ | 916,667$ | RFA | ||||||
Alexandar Georgiyev | G | 28 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||||
Alexander Romanov | D | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Brendan Smith | D | 35 | 550,000$ | 550,000$ | 550,000$ | 550,000$ | UFA | |||||
Casey Mittelstadt | C/LW | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | ||||||
Dylan Strome | C | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Ilya Lyubushkin | D | 30 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||||
Joel Armia | RW | 31 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Joel Kiviranta | LW | 28 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Joseph Woll | G | 25 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | RFA | |||||
Josh Doan | C/RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Kyle Palmieri | RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Lucas Raymond | RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | ||||||
Luke Kunin | C/LW/RW | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | RFA | ||||||
Marcus Pettersson | D | 28 | 4,025,175$ | 4,025,175$ | 4,025,175$ | 4,025,175$ | UFA | |||||
Mark Stone | RW | 32 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||||
Matt Dumba | D | 29 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | UFA | ||||
Nate Schmidt | D | 32 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Nazem Kadri | C | 33 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Owen Power | D | 21 | 875,000$ | 875,000$ | 875,000$ | RFA | ||||||
Patrik Laine | LW/RW | 26 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | ||||
Rasmus Dahlin | D | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | RFA | ||||||
Rickard Rakell | C/LW/RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Ross Colton | C | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Johannesson | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Anton Olsson | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Axel Rindell | D | 24 | 838,750$ | 83,875$ | 83,875$ | RFA | ||||||
Benjamin Gaudreau | G | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Blake Lizotte | C | 26 | 1,675,000$ | 1,675,000$ | 1,675,000$ | RFA | ||||||
Cole Brady | G | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Cole Koepke | LW | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Dans Locmelis | C | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Dennis Hildeby | G | 22 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Elvis Merzlikins | G | 30 | 1,350,000$ | 135,000$ | 135,000$ | 135,000$ | 135,000$ | UFA | ||||
Fabian Wagner | C/RW | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Fraser Minten | C | 19 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Frederick Gaudreau | C | 31 | 600,000$ | 600,000$ | 600,000$ | UFA | ||||||
Jack Johnson | D | 37 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||||
Jack Peart | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Josh Anderson | LW/RW | 30 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | ||||
Kalle Loponen | D | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Kalle Vaisanen | LW | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Kasper Simontaival | RW | 22 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Matt Nieto | LW/RW | 31 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Matthew Savoie | C | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Nicolas Meloche | D | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Oskar Pettersson | RW | 20 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Petr Hauser | RW | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Philippe Myers | D | 27 | 700,000$ | 70,000$ | 70,000$ | 70,000$ | UFA | |||||
Pierre-Edouard Bellemare | C/LW | 39 | 500,000$ | 50,000$ | 50,000$ | UFA | ||||||
Rasmus Korhonen | G | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Sam Colangelo | C/RW | 22 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA | |||||
Sandis Vilmanis | LW/RW | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Tyler Tucker | D | 24 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
William Villeneuve | D | 22 | 817,778$ | 81,778$ | 81,778$ | 81,778$ | 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 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 3.50 | -1.00 | 1 | 0.250 | 2.5 | 4.5 | 7.0 | 0 | 0 | 3 | 1 | 1 | 0 | 35.5 | 26 | 25 | 20 | 0 | 35.5 | 12.0 | 6.00 | 21.5 | 3.50 | 1.00 | 28.57% | 3.00 | 1.50 | 50.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 25.00 | 17.50 | 23.00 | 7.00 | 12.00 | 6.00 | 42.9% | 7.0% | 90.1% | 97.2 | Unlucky |
2 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 3.50 | -1.00 | 1 | 0.250 | 2.5 | 4.5 | 7.0 | 0 | 0 | 4 | 0 | 1 | 0 | 41.5 | 32 | 27 | 24 | 0 | 28.5 | 8.0 | 17.00 | 18.5 | 5.00 | 1.00 | 20.00% | 3.50 | 0.50 | 85.71% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.50 | 17.00 | 22.50 | 7.00 | 12.50 | 6.50 | 33.3% | 6.0% | 87.7% | 93.7 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 0 | 1 | 0 | 35.0 | 6 | 15 | 14 | 0 | 22.0 | 8.0 | 17.00 | 19.0 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 23.00 | 15.00 | 23.00 | 7.00 | 13.00 | 6.00 | 40.0% | 5.7% | 81.8% | 87.5 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.0 | 6.5 | 0 | 0 | 3 | 2 | 0 | 0 | 34.0 | 22 | 26 | 20 | 0 | 37.0 | 9.0 | 9.00 | 20.5 | 2.00 | 0.00 | 0.00% | 4.00 | 0.00 | 100.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.50 | 17.50 | 22.50 | 6.50 | 12.00 | 6.00 | 50.0% | 7.4% | 93.2% | 100.6 | DULL |
5 | ![]() | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2.50 | 2.50 | 0.00 | 3 | 0.750 | 2.5 | 4.5 | 7.0 | 0 | 0 | 3 | 0 | 1 | 1 | 38.0 | 21 | 30 | 23 | 2 | 26.0 | 6.5 | 12.50 | 30.0 | 3.50 | 0.50 | 14.29% | 2.50 | 1.00 | 60.00% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 25.00 | 17.50 | 23.00 | 7.50 | 13.00 | 6.50 | 57.1% | 6.6% | 90.4% | 97.0 | Unlucky |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 4 | 1.000 | 4.5 | 7.5 | 12.0 | 0 | 0 | 3 | 4 | 2 | 0 | 38.5 | 25 | 32 | 20 | 0 | 35.0 | 4.5 | 9.00 | 24.5 | 7.50 | 3.00 | 40.00% | 4.50 | 1.00 | 77.78% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.00 | 16.50 | 23.50 | 7.50 | 12.00 | 5.50 | 60.0% | 11.7% | 94.3% | 106.0 | LUCKY |
_Vs Division | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky | |
_Vs Conference | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky | |
_Since Last GM Reset | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky | |
Total | 11 | 3 | 4 | 0 | 1 | 3 | 0 | 0 | 2.82 | 2.91 | -0.09 | 11 | 0.500 | 2.8 | 4.9 | 7.7 | 0 | 0 | 17 | 7 | 6 | 1 | 37.3 | 132 | 155 | 121 | 2 | 31.5 | 8.0 | 11.27 | 22.6 | 4.09 | 1.00 | 24.44% | 3.55 | 0.82 | 76.92% | 0 | 247 | 454 | 54.41% | 213 | 375 | 56.80% | 89 | 173 | 51.45% | 24.73 | 17.27 | 23.09 | 7.18 | 12.64 | 6.36 | 46.5% | 7.6% | 90.8% | 98.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 454 |
Neutral Zone Start | 173 |
Defensive Zone Start | 375 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 549 |
Faceoffs Lost | 453 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 26.1 | 20.31 |
3rd Period | 37.1 | 30.68 |
Overtime | 37.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 2 |
Lost | 1 | 3 |
Overtime Lost | 2 | 1 |
PP Attempt | 45 |
---|---|
PP Goal | 11 |
PK Attempt | 39 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 37.3 |
Shots Against | 31.5 |
Goals For | 2.8 |
Goals Against | 2.9 |
Hits | 22.6 |
Shots Blocked | 8.0 |
Pim | 11.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | FRE5,HIT2 | RECAP | |||||||||
5 | ![]() | @ | ![]() | THU4,FRE3 (OT) | RECAP | |||||||||
7 | ![]() | @ | ![]() | FRE2,GRI3 (OT) | RECAP | |||||||||
9 | ![]() | @ | ![]() | KNI3,FRE2 | RECAP | |||||||||
14 | ![]() | @ | ![]() | GRI2,FRE3 (OT) | RECAP | |||||||||
16 | ![]() | @ | ![]() | FRE3,KNI2 | RECAP | |||||||||
18 | ![]() | @ | ![]() | FRE2,BRA3 | RECAP | |||||||||
20 | ![]() | @ | ![]() | BRA4,FRE3 (OT) | RECAP | |||||||||
22 | ![]() | @ | ![]() | FRE2,ROC4 | RECAP | |||||||||
24 | ![]() | @ | ![]() | HIT2,FRE4 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | FRE2,THU3 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,608,509$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Toronto | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,608,509$ | 79,608,509$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 58,662,700$ | 58,662,700$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alexander Plesovskikh | ![]() | 2024 | 184 | 0 | |
Ben Danford | ![]() | 2024 | 44 | 0 | |
Brady Cleveland | ![]() | 2023 | 65 | - | Link |
Easton Cowan | ![]() | 2023 | 37 | - | Link |
Jack Phelan | ![]() | 2023 | 149 | - | Link |
Kevin He | ![]() | 2024 | 72 | 0 | |
Liam Greentree | ![]() | 2024 | 16 | 0 | |
Martin Misiak | ![]() | 2023 | 48 | - | Link |
Patrick Thomas | ![]() | 2023 | 121 | - | Link |
Tanner Ludtke | ![]() | 2023 | 93 | - | Link |
Trent Swick | ![]() | 2024 | 190 | 0 | |
Tristan Bertucci | ![]() | 2023 | 77 | - | Link |
Victor Johansson | ![]() | 2024 | 100 | 0 | |
William Nicholl | ![]() | 2024 | 128 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Plesovskikh | ![]() | 2024 | 184 | 0 | |
Ben Danford | ![]() | 2024 | 44 | 0 | |
Brady Cleveland | ![]() | 2023 | 65 | - | Link |
Easton Cowan | ![]() | 2023 | 37 | - | Link |
Jack Phelan | ![]() | 2023 | 149 | - | Link |
Kevin He | ![]() | 2024 | 72 | 0 | |
Liam Greentree | ![]() | 2024 | 16 | 0 | |
Martin Misiak | ![]() | 2023 | 48 | - | Link |
Patrick Thomas | ![]() | 2023 | 121 | - | Link |
Tanner Ludtke | ![]() | 2023 | 93 | - | Link |
Trent Swick | ![]() | 2024 | 190 | 0 | |
Tristan Bertucci | ![]() | 2023 | 77 | - | Link |
Victor Johansson | ![]() | 2024 | 100 | 0 | |
William Nicholl | ![]() | 2024 | 128 | 0 |
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