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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Copper Cliff Braves 8-3-0, 16pts · 2nd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 23 | C | 100.00 | 61 | 42 | 95 | 81 | 75 | 78 | 71 | 93 | 96 | 79 | 82 | 77 | 70 | 77 | 77 | 81 | 75 | 80 | 29 | 1,985,000$/3yrs | |||
![]() | 37 | LW/RW | 100.00 | 89 | 46 | 73 | 85 | 72 | 74 | 79 | 81 | 44 | 85 | 83 | 63 | 67 | 69 | 71 | 84 | 75 | 79 | 24 | 7,750,000$/6yrs | |||
![]() | 81 | C/RW | 100.00 | 76 | 54 | 87 | 80 | 77 | 70 | 85 | 77 | 79 | 79 | 71 | 80 | 53 | 66 | 70 | 74 | 75 | 75 | 27 | 3,000,000$/4yrs | |||
![]() | 10 | C/LW/RW | 100.00 | 86 | 77 | 80 | 86 | 75 | 77 | 99 | 84 | 83 | 76 | 75 | 76 | 51 | 84 | 88 | 75 | 75 | 75 | 32 | 6,200,000$/2yrs | |||
![]() | 74 | LW | 100.00 | 78 | 44 | 92 | 82 | 68 | 74 | 89 | 77 | 34 | 71 | 75 | 77 | 63 | 70 | 74 | 73 | 75 | 74 | 27 | 4,000,000$/1yrs | |||
![]() | 82 | LW/RW | 100.00 | 98 | 99 | 71 | 77 | 85 | 67 | 77 | 68 | 36 | 67 | 71 | 83 | 25 | 78 | 80 | 69 | 75 | 72 | 32 | 3,900,000$/4yrs | |||
![]() | 77 | RW | 100.00 | 79 | 44 | 76 | 78 | 70 | 74 | 72 | 84 | 36 | 70 | 74 | 68 | 53 | 84 | 89 | 72 | 75 | 71 | 37 | 3,200,000$/1yrs | |||
![]() | 11 | C | 100.00 | 69 | 42 | 91 | 83 | 66 | 77 | 96 | 81 | 84 | 74 | 71 | 66 | 38 | 61 | 61 | 72 | 75 | 71 | 21 | 875,000$/1yrs | |||
![]() | 12 | LW/RW | 100.00 | 80 | 45 | 86 | 81 | 79 | 68 | 95 | 80 | 42 | 66 | 74 | 68 | 41 | 81 | 86 | 71 | 75 | 70 | 31 | 2,000,000$/2yrs | |||
![]() | 47 | C | 100.00 | 65 | 41 | 89 | 77 | 65 | 70 | 87 | 77 | 45 | 76 | 73 | 58 | 25 | 51 | 51 | 74 | 75 | 70 | 22 | 863,334$/2yrs | |||
![]() | 29 | C | 100.00 | 65 | 41 | 97 | 77 | 65 | 59 | 83 | 68 | 60 | 72 | 70 | 64 | 25 | 50 | 50 | 71 | 75 | 68 | 22 | 863,334$/2yrs | |||
![]() | 8 | D | 100.00 | 67 | 42 | 94 | 91 | 74 | 85 | 97 | 63 | 25 | 64 | 48 | 91 | 63 | 84 | 91 | 63 | 75 | 75 | 33 | 2,050,000$/1yrs | |||
![]() | 28 | D | 100.00 | 96 | 58 | 84 | 76 | 83 | 76 | 90 | 64 | 25 | 52 | 48 | 98 | 25 | 65 | 66 | 59 | 75 | 74 | 32 | 4,100,000$/1yrs | |||
![]() | 6 | D | 100.00 | 85 | 56 | 80 | 79 | 78 | 86 | 99 | 61 | 25 | 52 | 48 | 87 | 25 | 80 | 82 | 57 | 75 | 70 | 31 | 10,800,000$/2yrs | |||
![]() | 4 | D | 100.00 | 63 | 42 | 90 | 80 | 72 | 69 | 89 | 79 | 25 | 61 | 50 | 65 | 25 | 77 | 80 | 71 | 75 | 69 | 33 | 1,950,000$/1yrs | |||
![]() | 2 | D | 100.00 | 86 | 46 | 84 | 75 | 76 | 72 | 77 | 63 | 25 | 54 | 48 | 85 | 25 | 64 | 68 | 59 | 75 | 69 | 27 | 2,750,000$/5yrs | |||
![]() | 41 | D | 100.00 | 86 | 71 | 83 | 82 | 86 | 76 | 94 | 64 | 25 | 51 | 48 | 83 | 25 | 66 | 68 | 58 | 75 | 69 | 25 | 2,294,150$/2yrs | |||
![]() | 46 | D | 100.00 | 78 | 45 | 94 | 64 | 84 | 67 | 79 | 64 | 25 | 50 | 47 | 83 | 25 | 46 | 46 | 58 | 75 | 68 | 23 | 2,000,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 89 | 45 | 90 | 78 | 69 | 62 | 71 | 66 | 25 | 65 | 59 | 59 | 25 | 45 | 45 | 62 | 75 | 61 | 20 | 725,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 79 | 52 | 86 | 80 | 75 | 73 | 86 | 73 | 44 | 67 | 64 | 75 | 39 | 68 | 71 | 69 | 75 | 72 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 50 | 100.00 | 80 | 89 | 85 | 65 | 78 | 82 | 70 | 81 | 83 | 80 | 84 | 65 | 68 | 84 | 75 | 84 | 30 | 4,900,000$/4yrs |
![]() | 32 | 100.00 | 73 | 53 | 54 | 73 | 80 | 66 | 69 | 75 | 78 | 73 | 95 | 57 | 57 | 81 | 75 | 74 | 29 | 2,450,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 79 | 100.00 | 67 | 70 | 69 | 70 | 67 | 68 | 70 | 69 | 77 | 68 | 80 | 64 | 65 | 78 | 75 | 76 | 25 | 3,979,000$/1yrs |
TEAM AVERAGE | 100.00 | 73 | 71 | 69 | 69 | 75 | 72 | 70 | 75 | 79 | 74 | 86 | 62 | 63 | 81 | 75 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Gerald Tessier |
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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 | Brayden Schenn | ![]() | 10 | C/LW/RW | 11 | 6 | 8 | 14 | 8 | 0 | 0 | 15 | 44 | 11 | 25 | 13.64% | 1 | 19.76 | 2 | 1 | 3 | 1 | 0 | 1 | 20 | 0 | 0 | 58.96% | 212 | 0 | 0 | 0 | 0 | 1.29 | 0 | 0 |
2 | Andrei Svechnikov | ![]() | 37 | LW/RW | 11 | 6 | 6 | 12 | 2 | 11 | 5 | 51 | 34 | 17 | 21 | 17.65% | 4 | 24.40 | 0 | 2 | 2 | 0 | 0 | 0 | 39 | 3 | 0 | 51.28% | 39 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 |
3 | Matty Beniers | ![]() | 11 | C | 11 | 2 | 9 | 11 | 5 | 0 | 0 | 3 | 25 | 4 | 24 | 8.00% | 3 | 15.28 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 56.34% | 213 | 0 | 0 | 0 | 0 | 1.31 | 0 | 0 |
4 | Sean Monahan | ![]() | 23 | C | 11 | 5 | 6 | 11 | 0 | 0 | 0 | 0 | 35 | 16 | 32 | 14.29% | 1 | 18.97 | 2 | 1 | 3 | 0 | 0 | 0 | 35 | 0 | 0 | 53.09% | 324 | 0 | 0 | 0 | 0 | 1.05 | 0 | 0 |
5 | Jake DeBrusk | ![]() | 74 | LW | 11 | 5 | 5 | 10 | 4 | 0 | 0 | 11 | 31 | 4 | 24 | 16.13% | 1 | 19.12 | 0 | 2 | 2 | 0 | 0 | 0 | 10 | 0 | 0 | 25.00% | 12 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 |
6 | Nick Leddy | ![]() | 8 | D | 11 | 0 | 7 | 7 | -1 | 2 | 0 | 3 | 20 | 5 | 13 | 0.00% | 26 | 25.04 | 0 | 0 | 0 | 0 | 1 | 1 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
7 | T.J. Oshie | ![]() | 77 | RW | 11 | 3 | 3 | 6 | 5 | 0 | 0 | 13 | 19 | 6 | 15 | 15.79% | 0 | 12.50 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 0 | 25.00% | 12 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 |
8 | Marcus Foligno | ![]() | 82 | LW/RW | 11 | 2 | 4 | 6 | 5 | 18 | 0 | 31 | 26 | 9 | 18 | 7.69% | 0 | 16.92 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 |
9 | Adam Larsson | ![]() | 6 | D | 11 | 1 | 4 | 5 | 7 | 15 | 5 | 37 | 10 | 4 | 8 | 10.00% | 14 | 21.95 | 0 | 1 | 1 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
10 | Jani Hakanpaa | ![]() | 28 | D | 11 | 0 | 4 | 4 | -1 | 14 | 0 | 28 | 11 | 2 | 8 | 0.00% | 14 | 17.06 | 0 | 2 | 2 | 0 | 1 | 1 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
11 | Justin Schultz | ![]() | 4 | D | 11 | 1 | 3 | 4 | 9 | 4 | 0 | 2 | 6 | 1 | 2 | 16.67% | 6 | 18.09 | 0 | 1 | 1 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
12 | Nicolas Roy | ![]() | 81 | C/RW | 11 | 2 | 1 | 3 | 0 | 0 | 0 | 4 | 23 | 8 | 16 | 8.70% | 5 | 17.18 | 1 | 1 | 2 | 0 | 0 | 0 | 16 | 0 | 0 | 59.38% | 32 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
13 | Zach Whitecloud | ![]() | 2 | D | 11 | 0 | 3 | 3 | 5 | 2 | 0 | 13 | 9 | 2 | 8 | 0.00% | 11 | 14.72 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
14 | Nicolas Hague | ![]() | 41 | D | 11 | 0 | 3 | 3 | 5 | 14 | 0 | 20 | 10 | 5 | 4 | 0.00% | 10 | 15.36 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
15 | Nino Niederreiter | ![]() | 12 | LW/RW | 11 | 1 | 1 | 2 | 3 | 8 | 0 | 16 | 24 | 5 | 17 | 4.17% | 2 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
16 | Hendrix Lapierre | ![]() | 29 | C | 9 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 7 | 0 | 2 | 14.29% | 0 | 6.01 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
17 | Connor Zary | ![]() | 47 | C | 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 | 2 | 0 | 16.67% | 2 | 5.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 20.34% | 59 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
18 | Louis Crevier | ![]() | 46 | D | 9 | 1 | 0 | 1 | -1 | 4 | 0 | 5 | 2 | 0 | 1 | 50.00% | 2 | 7.31 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
Team Total or Average | 192 | 37 | 67 | 104 | 55 | 92 | 10 | 254 | 342 | 101 | 238 | 10.82% | 102 | 16.39 | 6 | 12 | 18 | 357 | 1 | 2 | 3 | 293 | 8 | 1 | 51.72% | 961 | 0 | 0 | 0 | 0 | 0.66 | 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 | Jordan Binnington | ![]() | 11 | 8 | 3 | 0 | 0.920 | 2.65 | 635 | 4 | 0 | 28 | 352 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 0 | 2 | 0 |
2 | Kevin Lankinen | ![]() | 1 | 0 | 0 | 0 | 0.944 | 2.50 | 24 | 0 | 0 | 1 | 18 | 0 | 0 | 0 | 0.000 | 0 | 0 | 9 | 0 | 0 | 0 |
Team Total or Average | 12 | 8 | 3 | 0 | 0.922 | 2.64 | 659 | 4 | 0 | 29 | 370 | 0 | 0 | 0 | 0.000 | 0 | 11 | 9 | 0 | 2 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 4 | 1.000 | 3.5 | 6.5 | 10.0 | 0 | 0 | 4 | 2 | 0 | 1 | 28.5 | 18 | 21 | 16 | 2 | 41.5 | 9.5 | 15.00 | 24.0 | 3.50 | 0.50 | 14.29% | 5.00 | 1.00 | 80.00% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 22.50 | 15.50 | 24.50 | 7.50 | 12.50 | 6.00 | 66.7% | 12.3% | 94.0% | 106.3 | LUCKY |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 4 | 3 | 0 | 0 | 30.5 | 22 | 29 | 10 | 0 | 31.5 | 7.5 | 8.00 | 24.5 | 4.50 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 24.00 | 16.50 | 23.00 | 7.00 | 12.50 | 6.50 | 77.8% | 11.5% | 95.2% | 106.7 | LUCKY |
3 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0.50 | 5.00 | -4.50 | 0 | 0.000 | 0.5 | 1.0 | 1.5 | 0 | 0 | 1 | 0 | 0 | 0 | 20.0 | 19 | 10 | 11 | 0 | 40.0 | 11.0 | 11.00 | 22.0 | 1.50 | 0.50 | 33.33% | 5.50 | 1.00 | 81.82% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 19.50 | 13.00 | 27.00 | 7.50 | 12.50 | 5.50 | 0.0% | 2.5% | 87.5% | 90.0 | Unlucky |
4 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 2.00 | 3.50 | 4 | 1.000 | 5.5 | 10.0 | 15.5 | 0 | 0 | 3 | 5 | 3 | 0 | 50.0 | 30 | 43 | 27 | 0 | 31.0 | 6.5 | 6.00 | 24.0 | 6.50 | 1.50 | 23.08% | 3.00 | 0.50 | 83.33% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 26.00 | 18.50 | 21.00 | 6.50 | 12.50 | 6.50 | 72.7% | 11.0% | 93.5% | 104.5 | LUCKY |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 2 | 1 | 2 | 0 | 36.0 | 11 | 11 | 14 | 0 | 23.0 | 9.0 | 8.00 | 21.0 | 3.00 | 0.00 | 0.00% | 4.00 | 2.00 | 50.00% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 22.00 | 14.00 | 25.00 | 7.00 | 12.00 | 6.00 | 100.0% | 13.9% | 91.3% | 105.2 | LUCKY |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.50 | 0.50 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 3 | 1 | 2 | 0 | 27.0 | 17 | 20 | 17 | 0 | 29.5 | 13.0 | 5.00 | 24.0 | 4.00 | 0.50 | 12.50% | 2.50 | 0.50 | 80.00% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 24.50 | 17.00 | 22.00 | 6.50 | 13.00 | 6.50 | 55.6% | 11.1% | 91.5% | 102.6 | LUCKY |
_Vs Division | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY | |
_Vs Conference | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY | |
_Since Last GM Reset | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY | |
Total | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 376 |
Neutral Zone Start | 194 |
Defensive Zone Start | 415 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 508 |
Faceoffs Lost | 477 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 30 |
---|---|
PP Goal | 6 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 5 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 6 |
PK Attempt | 44 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 33.6 |
Goals For | 3.4 |
Goals Against | 2.6 |
Hits | 23.5 |
Shots Blocked | 9.5 |
Pim | 8.9 |
![]() | |
Total Salaries | 75,134,818$ |
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) | 59 |
Goalies Signed (min. 6) | 10 |
Defensemen Signed (min. 16) | 22 |
LTIR Players | 0 |
Braves Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson | D | 31 | 10,800,000$ | 10,800,000$ | 10,800,000$ | 10,800,000$ | UFA | |||||
Andrei Svechnikov | LW/RW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | |
Brayden Schenn | C/LW/RW | 32 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | |||||
Carter Hart | G | 25 | 3,979,000$ | 3,979,000$ | 3,979,000$ | RFA | ||||||
Connor Zary | C | 22 | 863,334$ | 863,334$ | 863,334$ | 863,334$ | RFA | |||||
Hendrix Lapierre | C | 22 | 863,334$ | 863,334$ | 863,334$ | 863,334$ | RFA | |||||
Ivan Miroshnichenko | LW | 20 | 725,000$ | 725,000$ | 725,000$ | 725,000$ | RFA | |||||
Jake DeBrusk | LW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jani Hakanpaa | D | 32 | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | ||||||
Jordan Binnington | G | 30 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | |||
Justin Schultz | D | 33 | 1,950,000$ | 1,950,000$ | 1,950,000$ | UFA | ||||||
Kevin Lankinen | G | 29 | 2,450,000$ | 2,450,000$ | 2,450,000$ | 2,450,000$ | UFA | |||||
Louis Crevier | D | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||
Marcus Foligno | LW/RW | 32 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | UFA | |||
Matty Beniers | C | 21 | 875,000$ | 875,000$ | 875,000$ | RFA | ||||||
Nick Leddy | D | 33 | 2,050,000$ | 2,050,000$ | 2,050,000$ | UFA | ||||||
Nicolas Hague | D | 25 | 2,294,150$ | 2,294,150$ | 2,294,150$ | 2,294,150$ | RFA | |||||
Nicolas Roy | C/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Nino Niederreiter | LW/RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Sean Monahan | C | 29 | 1,985,000$ | 1,985,000$ | 1,985,000$ | 1,985,000$ | 1,985,000$ | UFA | ||||
T.J. Oshie | RW | 37 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||||
Zach Whitecloud | D | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kisakov | C/LW | 21 | 859,176$ | 85,918$ | 85,918$ | 85,918$ | RFA | |||||
Alexander Perevalov | LW | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Andre Lee | C/LW | 23 | 883,750$ | 88,375$ | 88,375$ | RFA | ||||||
Artem Guryev | D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Artyom Grushnikov | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Bear Hughes | C | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Brent Johnson | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Charlie Leddy | D | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Cody Glass | C | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Daniil Chechelev | G | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Dustin Wolf | G | 23 | 813,333$ | 81,333$ | 81,333$ | RFA | ||||||
Ethan Del Mastro | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Hunter Haight | C/RW | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Jack Thompson | D | 22 | 828,333$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
Jacob Bernard-Docker | D | 24 | 805,000$ | 80,500$ | 80,500$ | 80,500$ | RFA | |||||
Jakob Pelletier | C/LW | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Kasper Kulonummi | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Keith Petruzzelli | G | 25 | 817,500$ | 81,750$ | 81,750$ | RFA | ||||||
Kevin Reidler | G | 19 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Kyle Kukkonen | C | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Libor Hajek | D | 26 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||
Maxim Beryozkin | RW | 22 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | ||
Maximilian Kilpinen | C/LW/RW | 20 | 47,500$ | 4,750$ | 4,750$ | RFA | ||||||
Michael Pezzetta | C/LW | 26 | 812,500$ | 81,250$ | 81,250$ | 81,250$ | UFA | |||||
Nate Benoit | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Noah Warren | D | 19 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Petr Kvaca | G | 26 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | 50,000$ | UFA | ||||
Raivis Ansons | LW/RW | 22 | 844,167$ | 84,417$ | 84,417$ | 84,417$ | RFA | |||||
Samuel Bolduc | D | 23 | 800,000$ | 80,000$ | 80,000$ | 80,000$ | RFA | |||||
Shane Wright | C | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Tarmo Reunanen | D | 26 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||
Taylor Ward | RW | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Trent Miner | G | 23 | 828,333$ | 82,833$ | 82,833$ | RFA | ||||||
Ty Young | G | 19 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Tyson Jugnauth | D | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Yan Kuznetsov | D | 22 | 870,000$ | 87,000$ | 87,000$ | RFA | ||||||
Zach Dean | C | 21 | 725,000$ | 72,500$ | 72,500$ | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 4 | 1.000 | 3.5 | 6.5 | 10.0 | 0 | 0 | 4 | 2 | 0 | 1 | 28.5 | 18 | 21 | 16 | 2 | 41.5 | 9.5 | 15.00 | 24.0 | 3.50 | 0.50 | 14.29% | 5.00 | 1.00 | 80.00% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 22.50 | 15.50 | 24.50 | 7.50 | 12.50 | 6.00 | 66.7% | 12.3% | 94.0% | 106.3 | LUCKY |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 4 | 3 | 0 | 0 | 30.5 | 22 | 29 | 10 | 0 | 31.5 | 7.5 | 8.00 | 24.5 | 4.50 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 24.00 | 16.50 | 23.00 | 7.00 | 12.50 | 6.50 | 77.8% | 11.5% | 95.2% | 106.7 | LUCKY |
3 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0.50 | 5.00 | -4.50 | 0 | 0.000 | 0.5 | 1.0 | 1.5 | 0 | 0 | 1 | 0 | 0 | 0 | 20.0 | 19 | 10 | 11 | 0 | 40.0 | 11.0 | 11.00 | 22.0 | 1.50 | 0.50 | 33.33% | 5.50 | 1.00 | 81.82% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 19.50 | 13.00 | 27.00 | 7.50 | 12.50 | 5.50 | 0.0% | 2.5% | 87.5% | 90.0 | Unlucky |
4 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 2.00 | 3.50 | 4 | 1.000 | 5.5 | 10.0 | 15.5 | 0 | 0 | 3 | 5 | 3 | 0 | 50.0 | 30 | 43 | 27 | 0 | 31.0 | 6.5 | 6.00 | 24.0 | 6.50 | 1.50 | 23.08% | 3.00 | 0.50 | 83.33% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 26.00 | 18.50 | 21.00 | 6.50 | 12.50 | 6.50 | 72.7% | 11.0% | 93.5% | 104.5 | LUCKY |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 2 | 1 | 2 | 0 | 36.0 | 11 | 11 | 14 | 0 | 23.0 | 9.0 | 8.00 | 21.0 | 3.00 | 0.00 | 0.00% | 4.00 | 2.00 | 50.00% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 22.00 | 14.00 | 25.00 | 7.00 | 12.00 | 6.00 | 100.0% | 13.9% | 91.3% | 105.2 | LUCKY |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.50 | 0.50 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 3 | 1 | 2 | 0 | 27.0 | 17 | 20 | 17 | 0 | 29.5 | 13.0 | 5.00 | 24.0 | 4.00 | 0.50 | 12.50% | 2.50 | 0.50 | 80.00% | 0 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 24.50 | 17.00 | 22.00 | 6.50 | 13.00 | 6.50 | 55.6% | 11.1% | 91.5% | 102.6 | LUCKY |
_Vs Division | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY | |
_Vs Conference | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY | |
_Since Last GM Reset | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY | |
Total | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 3.36 | 2.64 | 0.73 | 16 | 0.727 | 3.4 | 6.1 | 9.5 | 0 | 0 | 17 | 12 | 7 | 1 | 31.6 | 117 | 134 | 95 | 2 | 33.6 | 9.5 | 8.91 | 23.5 | 3.91 | 0.55 | 13.95% | 4.00 | 0.82 | 79.55% | 1 | 206 | 376 | 54.79% | 200 | 415 | 48.19% | 102 | 194 | 52.58% | 23.36 | 16.09 | 23.91 | 7.18 | 12.73 | 6.36 | 60.8% | 10.6% | 92.2% | 102.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 376 |
Neutral Zone Start | 194 |
Defensive Zone Start | 415 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 508 |
Faceoffs Lost | 477 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 30 |
---|---|
PP Goal | 6 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 5 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 6 |
PK Attempt | 44 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 33.6 |
Goals For | 3.4 |
Goals Against | 2.6 |
Hits | 23.5 |
Shots Blocked | 9.5 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | BRA0,ROC4 | RECAP | |||||||||
4 | ![]() | @ | ![]() | KNI2,BRA4 | RECAP | |||||||||
6 | ![]() | @ | ![]() | BRA4,HIT2 | RECAP | |||||||||
8 | ![]() | @ | ![]() | BRA3,THU2 | RECAP | |||||||||
10 | ![]() | @ | ![]() | HIT3,BRA2 | RECAP | |||||||||
15 | ![]() | @ | ![]() | THU1,BRA4 | RECAP | |||||||||
18 | ![]() | @ | ![]() | FRE2,BRA3 | RECAP | |||||||||
20 | ![]() | @ | ![]() | BRA4,FRE3 (OT) | RECAP | |||||||||
22 | ![]() | @ | ![]() | BRA5,GRI2 | RECAP | |||||||||
25 | ![]() | @ | ![]() | ROC6,BRA1 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | BRA7,KNI2 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,134,818$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Stanley Stadium | |
City | Copper Cliff | ||
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 |
75,134,818$ | 75,134,818$ | 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$ | -18,623,556$ | -18,623,556$ |
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 |
---|---|---|
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 |
---|---|---|---|---|---|
Axel Landen | ![]() | 2023 | 143 | - | Link |
Blake Montgomery | ![]() | 2024 | 123 | 0 | |
Carter George | ![]() | 2024 | 46 | 0 | |
Chase Cheslock | ![]() | 2023 | 171 | - | Link |
Dmitri Simashev | ![]() | 2023 | 5 | - | Link |
Florian Xhekaj | ![]() | 2023 | 115 | - | Link |
Jake Fisher | ![]() | 2024 | 151 | 0 | |
Kirill Zarubin | ![]() | 2024 | 95 | 0 | |
Konnor Smith | ![]() | 2023 | 106 | - | Link |
Leon Muggli | ![]() | 2024 | 67 | 0 | |
Michael Brandsegg-Nygard | ![]() | 2024 | 11 | 0 | |
Nico Myatovic | ![]() | 2023 | 31 | - | Link |
Nikita Artamonov | ![]() | 2024 | 39 | 0 | |
Quinton Burns | ![]() | 2023 | 87 | - | Link |
Rudy Guimond | ![]() | 2023 | 187 | - | Link |
Viktor Norringer | ![]() | 2024 | 179 | 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 |
---|---|---|---|---|---|
Axel Landen | ![]() | 2023 | 143 | - | Link |
Blake Montgomery | ![]() | 2024 | 123 | 0 | |
Carter George | ![]() | 2024 | 46 | 0 | |
Chase Cheslock | ![]() | 2023 | 171 | - | Link |
Dmitri Simashev | ![]() | 2023 | 5 | - | Link |
Florian Xhekaj | ![]() | 2023 | 115 | - | Link |
Jake Fisher | ![]() | 2024 | 151 | 0 | |
Kirill Zarubin | ![]() | 2024 | 95 | 0 | |
Konnor Smith | ![]() | 2023 | 106 | - | Link |
Leon Muggli | ![]() | 2024 | 67 | 0 | |
Michael Brandsegg-Nygard | ![]() | 2024 | 11 | 0 | |
Nico Myatovic | ![]() | 2023 | 31 | - | Link |
Nikita Artamonov | ![]() | 2024 | 39 | 0 | |
Quinton Burns | ![]() | 2023 | 87 | - | Link |
Rudy Guimond | ![]() | 2023 | 187 | - | Link |
Viktor Norringer | ![]() | 2024 | 179 | 0 |
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