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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Vienna Revolution 7-4-0, 14pts · 5th in World Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 10 | LW | 100.00 | 59 | 40 | 90 | 87 | 61 | 84 | 99 | 95 | 27 | 94 | 95 | 57 | 92 | 76 | 78 | 95 | 75 | 86 | 32 | 11,642,857$/5yrs | |||
![]() | 13 | C/LW | 100.00 | 67 | 42 | 94 | 85 | 65 | 81 | 93 | 93 | 98 | 85 | 87 | 78 | 25 | 69 | 70 | 86 | 75 | 84 | 25 | 7,250,000$/4yrs | |||
![]() | 71 | C/LW | 100.00 | 63 | 42 | 76 | 85 | 73 | 79 | 99 | 91 | 79 | 82 | 84 | 68 | 63 | 89 | 97 | 83 | 75 | 80 | 37 | 8,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 52 | 88 | 83 | 70 | 74 | 97 | 85 | 58 | 80 | 86 | 74 | 48 | 73 | 74 | 83 | 75 | 80 | 28 | 5,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 42 | 87 | 87 | 66 | 83 | 71 | 92 | 70 | 85 | 83 | 64 | 75 | 52 | 52 | 84 | 75 | 80 | 18 | 875,000$/2yrs | |||
![]() | 19 | C/RW | 100.00 | 77 | 44 | 85 | 84 | 76 | 78 | 99 | 88 | 41 | 81 | 85 | 63 | 80 | 66 | 66 | 83 | 75 | 78 | 26 | 4,975,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 44 | 92 | 85 | 74 | 78 | 97 | 78 | 92 | 79 | 73 | 77 | 45 | 74 | 77 | 76 | 75 | 76 | 31 | 4,100,000$/4yrs | |||
![]() | 9 | C/LW | 100.00 | 63 | 42 | 89 | 83 | 75 | 73 | 98 | 71 | 92 | 70 | 70 | 82 | 63 | 76 | 79 | 70 | 75 | 73 | 29 | 450,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 91 | 45 | 90 | 78 | 68 | 70 | 88 | 82 | 36 | 75 | 72 | 67 | 25 | 65 | 67 | 73 | 75 | 72 | 25 | 1,450,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 44 | 88 | 78 | 64 | 70 | 90 | 79 | 74 | 74 | 73 | 69 | 25 | 64 | 66 | 73 | 75 | 72 | 25 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 79 | 54 | 90 | 82 | 71 | 66 | 98 | 70 | 76 | 65 | 68 | 72 | 25 | 64 | 64 | 67 | 75 | 68 | 24 | 825,000$/1yrs | |||
![]() | 11 | RW | 100.00 | 71 | 52 | 73 | 82 | 66 | 66 | 74 | 77 | 37 | 65 | 72 | 64 | 45 | 79 | 83 | 69 | 75 | 68 | 32 | 450,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 52 | 84 | 84 | 74 | 91 | 92 | 97 | 25 | 80 | 67 | 71 | 53 | 81 | 85 | 89 | 75 | 83 | 34 | 9,059,000$/2yrs | |||
![]() | 27 | D | 100.00 | 69 | 53 | 76 | 85 | 78 | 88 | 94 | 73 | 25 | 65 | 48 | 90 | 25 | 78 | 79 | 69 | 75 | 78 | 30 | 6,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 73 | 42 | 84 | 80 | 63 | 86 | 95 | 78 | 25 | 58 | 53 | 86 | 25 | 61 | 61 | 69 | 75 | 77 | 23 | 1,600,000$/2yrs | |||
![]() | 17 | D | 100.00 | 78 | 43 | 86 | 83 | 67 | 88 | 90 | 74 | 25 | 73 | 48 | 78 | 25 | 68 | 68 | 74 | 75 | 77 | 26 | 4,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 56 | 83 | 82 | 82 | 82 | 96 | 68 | 25 | 69 | 56 | 81 | 25 | 78 | 82 | 68 | 75 | 74 | 34 | 4,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 93 | 75 | 78 | 77 | 90 | 69 | 25 | 56 | 48 | 75 | 25 | 63 | 63 | 63 | 75 | 69 | 25 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 53 | C/RW | 100.00 | 87 | 99 | 64 | 70 | 75 | 62 | 84 | 69 | 88 | 58 | 64 | 83 | 25 | 64 | 64 | 61 | 75 | 66 | 32 | 450,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 95 | 99 | 65 | 65 | 80 | 59 | 77 | 65 | 33 | 61 | 59 | 72 | 25 | 61 | 62 | 60 | 75 | 62 | 27 | 675,000$/4yrs | |||
TEAM AVERAGE | 100.00 | 75 | 52 | 84 | 81 | 71 | 77 | 91 | 80 | 53 | 73 | 70 | 74 | 42 | 70 | 72 | 75 | 75 | 75 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 79 | 86 | 83 | 75 | 79 | 80 | 74 | 80 | 82 | 79 | 87 | 63 | 65 | 85 | 75 | 84 | 28 | 5,666,667$/2yrs |
![]() | 0 | 100.00 | 62 | 68 | 68 | 76 | 65 | 58 | 69 | 64 | 65 | 62 | 91 | 69 | 72 | 74 | 75 | 72 | 33 | 450,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 61 | 59 | 81 | 65 | 54 | 69 | 62 | 65 | 60 | 91 | 50 | 50 | 73 | 75 | 70 | 29 | 450,000$/2yrs |
TEAM AVERAGE | 100.00 | 67 | 72 | 70 | 77 | 70 | 64 | 71 | 69 | 71 | 67 | 90 | 61 | 62 | 77 | 75 | 75 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Mark Drebert |
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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 | Jared McCann | ![]() | 0 | C/LW/RW | 11 | 3 | 9 | 12 | 1 | 7 | 5 | 16 | 36 | 7 | 17 | 8.33% | 1 | 19.21 | 0 | 2 | 2 | 0 | 0 | 0 | 10 | 1 | 0 | 53.33% | 15 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 |
2 | Nico Hischier | ![]() | 13 | C/LW | 11 | 5 | 7 | 12 | 1 | 2 | 0 | 23 | 54 | 21 | 34 | 9.26% | 6 | 20.99 | 3 | 1 | 4 | 0 | 0 | 0 | 24 | 1 | 0 | 54.55% | 286 | 0 | 0 | 0 | 0 | 1.04 | 1 | 1 |
3 | Artemi Panarin | ![]() | 10 | LW | 11 | 6 | 5 | 11 | 1 | 0 | 0 | 3 | 39 | 11 | 27 | 15.38% | 2 | 21.14 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 1 | 0 | 22.99% | 87 | 0 | 0 | 0 | 1 | 0.95 | 1 | 1 |
4 | Hampus Lindholm | ![]() | 27 | D | 11 | 2 | 8 | 10 | 3 | 10 | 0 | 15 | 22 | 6 | 17 | 9.09% | 19 | 25.05 | 1 | 3 | 4 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 |
5 | Yevgeni Malkin | ![]() | 71 | C/LW | 11 | 5 | 4 | 9 | -1 | 2 | 0 | 7 | 26 | 11 | 26 | 19.23% | 1 | 19.54 | 1 | 2 | 3 | 0 | 0 | 0 | 12 | 1 | 0 | 56.05% | 248 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 |
6 | Roman Josi | ![]() | 0 | D | 11 | 0 | 9 | 9 | 3 | 4 | 0 | 13 | 18 | 3 | 15 | 0.00% | 9 | 25.61 | 0 | 1 | 1 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 |
7 | Filip Hronek | ![]() | 17 | D | 11 | 0 | 8 | 8 | 1 | 4 | 0 | 24 | 8 | 2 | 8 | 0.00% | 7 | 21.00 | 0 | 2 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
8 | Connor Bedard | ![]() | 0 | C/LW | 11 | 4 | 3 | 7 | -2 | 2 | 0 | 13 | 39 | 10 | 34 | 10.26% | 2 | 18.30 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | 23.08% | 13 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
9 | Cam York | ![]() | 0 | D | 11 | 1 | 5 | 6 | 1 | 2 | 0 | 6 | 16 | 10 | 14 | 6.25% | 15 | 21.41 | 0 | 2 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
10 | Andrew Copp | ![]() | 9 | C/LW | 11 | 3 | 3 | 6 | 5 | 0 | 0 | 0 | 14 | 6 | 15 | 21.43% | 0 | 9.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 |
11 | Phillip Danault | ![]() | 0 | C/LW | 11 | 2 | 3 | 5 | 5 | 0 | 0 | 7 | 22 | 7 | 18 | 9.09% | 2 | 10.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.20% | 125 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 |
12 | Morgan Geekie | ![]() | 0 | C/RW | 11 | 2 | 3 | 5 | 5 | 8 | 0 | 26 | 13 | 1 | 9 | 15.38% | 1 | 10.45 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 |
13 | Mattias Ekholm | ![]() | 0 | D | 11 | 1 | 3 | 4 | -2 | 18 | 10 | 20 | 5 | 4 | 4 | 20.00% | 8 | 13.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
14 | Drake Batherson | ![]() | 19 | C/RW | 11 | 2 | 2 | 4 | -2 | 0 | 0 | 27 | 31 | 12 | 21 | 6.45% | 0 | 18.11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11.11% | 9 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
15 | Joe Veleno | ![]() | 0 | C | 11 | 2 | 0 | 2 | -2 | 2 | 0 | 5 | 13 | 3 | 9 | 15.38% | 1 | 9.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.79% | 136 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
16 | Eeli Tolvanen | ![]() | 0 | LW/RW | 11 | 2 | 0 | 2 | -2 | 8 | 0 | 14 | 18 | 2 | 12 | 11.11% | 0 | 9.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
17 | Brendan Gallagher | ![]() | 11 | RW | 11 | 0 | 1 | 1 | -2 | 0 | 0 | 2 | 11 | 2 | 12 | 0.00% | 0 | 9.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
18 | Juuso Valimaki | ![]() | 0 | D | 11 | 0 | 0 | 0 | -2 | 2 | 0 | 9 | 1 | 1 | 1 | 0.00% | 8 | 14.17 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 40 | 73 | 113 | 11 | 71 | 15 | 230 | 386 | 119 | 293 | 10.36% | 82 | 16.56 | 8 | 15 | 23 | 361 | 0 | 0 | 0 | 162 | 6 | 2 | 49.89% | 948 | 0 | 0 | 0 | 1 | 0.69 | 2 | 2 |
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 | Igor Shestyorkin | ![]() | 11 | 7 | 4 | 0 | 0.895 | 3.33 | 667 | 0 | 0 | 37 | 354 | 0 | 0 | 1 | 0.667 | 3 | 11 | 0 | 1 | 0 | 0 |
Team Total or Average | 11 | 7 | 4 | 0 | 0.895 | 3.33 | 667 | 0 | 0 | 37 | 354 | 0 | 0 | 1 | 0.667 | 3 | 11 | 0 | 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 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4.50 | 2.50 | 2.00 | 4 | 1.000 | 4.5 | 6.5 | 11.0 | 0 | 0 | 2 | 3 | 3 | 2 | 36.0 | 20 | 30 | 19 | 5 | 25.5 | 7.5 | 5.00 | 20.0 | 4.50 | 1.00 | 22.22% | 2.50 | 0.50 | 80.00% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 29.00 | 21.00 | 21.00 | 6.00 | 12.00 | 6.50 | 63.6% | 12.5% | 90.2% | 102.7 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.00 | -2.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 2 | 1 | 0 | 33.0 | 9 | 10 | 14 | 0 | 37.0 | 11.0 | 6.00 | 24.0 | 3.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.00 | 19.00 | 21.00 | 5.00 | 12.00 | 6.00 | 42.9% | 9.1% | 86.5% | 95.6 | FUN |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 1 | 3 | 0 | 35.5 | 21 | 25 | 25 | 0 | 37.0 | 10.0 | 11.50 | 22.5 | 3.50 | 1.50 | 42.86% | 4.00 | 1.50 | 62.50% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 24.00 | 16.50 | 23.00 | 6.50 | 12.50 | 6.50 | 50.0% | 9.9% | 90.5% | 100.4 | FUN |
4 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 7.0 | 10.5 | 0 | 0 | 3 | 0 | 3 | 1 | 38.5 | 24 | 25 | 27 | 1 | 30.0 | 6.0 | 7.00 | 20.5 | 4.50 | 1.00 | 22.22% | 3.50 | 2.00 | 42.86% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 26.00 | 18.00 | 22.50 | 6.50 | 11.50 | 6.00 | 55.6% | 9.1% | 86.7% | 95.8 | FUN |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.00 | 1.50 | 4 | 1.000 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 2 | 3 | 0 | 32.0 | 16 | 25 | 23 | 0 | 33.0 | 5.0 | 3.00 | 21.0 | 3.50 | 0.50 | 14.29% | 1.50 | 0.00 | 100.00% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.00 | 18.00 | 22.00 | 6.50 | 12.50 | 6.00 | 60.0% | 10.9% | 93.9% | 104.9 | LUCKY |
6 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4.00 | 4.50 | -0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 1 | 0 | 2 | 3 | 2 | 1 | 34.5 | 23 | 18 | 26 | 2 | 33.5 | 7.0 | 6.00 | 19.0 | 3.00 | 0.00 | 0.00% | 0.50 | 0.00 | 100.00% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 21.50 | 15.00 | 25.50 | 7.50 | 13.00 | 6.50 | 47.1% | 11.6% | 86.6% | 98.2 | FUN |
_Vs Division | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN | |
_Vs Conference | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN | |
_Since Last GM Reset | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN | |
Total | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 408 |
Neutral Zone Start | 171 |
Defensive Zone Start | 361 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 473 |
Faceoffs Lost | 467 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 34.5 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 32 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 4 |
Lost | 3 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 41 |
---|---|
PP Goal | 8 |
PK Attempt | 27 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 35.1 |
Shots Against | 32.3 |
Goals For | 3.7 |
Goals Against | 3.5 |
Hits | 20.9 |
Shots Blocked | 7.5 |
Pim | 6.5 |
![]() | |
Total Salaries | 82,268,524$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 600,000$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 52 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Revolution Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Copp | C/LW | 29 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Artemi Panarin | LW | 32 | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | UFA | ||
Brendan Gallagher | RW | 32 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Cam York | D | 23 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | RFA | |||||
Connor Bedard | C/LW | 18 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Drake Batherson | C/RW | 26 | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | UFA | |||
Eeli Tolvanen | LW/RW | 25 | 1,450,000$ | 1,450,000$ | 1,450,000$ | RFA | ||||||
Filip Hronek | D | 26 | 4,400,000$ | 4,400,000$ | 4,400,000$ | RFA | ||||||
Hampus Lindholm | D | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Igor Shestyorkin | G | 28 | 5,666,667$ | 5,666,667$ | 5,666,667$ | 5,666,667$ | UFA | |||||
Jake Allen | G | 33 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Jared McCann | C/LW/RW | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Joe Veleno | C | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | ||||||
Juuso Valimaki | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||||
Mathieu Olivier | LW/RW | 27 | 675,000$ | 675,000$ | 675,000$ | 675,000$ | 675,000$ | 675,000$ | UFA | |||
Mattias Ekholm | D | 34 | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | ||||||
Morgan Geekie | C/RW | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Nico Hischier | C/LW | 25 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | |||
Phillip Danault | C/LW | 31 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | |||
Roman Josi | D | 34 | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | UFA | |||||
Sam Carrick | C/RW | 32 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Spencer Martin | G | 29 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Yevgeni Malkin | C/LW | 37 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula | D | 23 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Artur Akhtyamov | G | 22 | 851,667$ | 85,167$ | 85,167$ | 85,167$ | 85,167$ | RFA | ||||
Cole Spicer | C | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Connor Brown | RW | 30 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | ||||
Dru Krebs | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Fyodor Svechkov | C/LW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Hunter McDonald | D | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jack Devine | RW | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Jakub Dvorak | D | 19 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Jared Wright | RW | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Joaquim Lemay | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Josh Bloom | LW | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Lars Johansson | G | 36 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Layton Ahac | D | 23 | 897,500$ | 89,750$ | 89,750$ | RFA | ||||||
Liam O'Brien | C/LW | 29 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | ||||
Lucas Mercuri | C | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Luke Prokop | D | 22 | 793,333$ | 79,333$ | 79,333$ | 79,333$ | RFA | |||||
Mattias Janmark | C/LW/RW | 31 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | UFA | |||||
Mikko Kokkonen | D | 23 | 846,667$ | 84,667$ | 84,667$ | 84,667$ | RFA | |||||
Oskar Steen | C/RW | 26 | 800,000$ | 80,000$ | 80,000$ | RFA | ||||||
Otto Salin | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Pasquale Zito | C/LW/RW | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Remi Poirier | G | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ryan Suzuki | C | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Ryder Rolston | C/LW/RW | 22 | 895,000$ | 89,500$ | 89,500$ | 89,500$ | 89,500$ | RFA | ||||
Scott Morrow | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Simon Hrubec | G | 33 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Tyrel Bauer | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Vladislav Firstov | LW | 23 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | 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 | 0 | 0 | 1 | 0 | 4.50 | 2.50 | 2.00 | 4 | 1.000 | 4.5 | 6.5 | 11.0 | 0 | 0 | 2 | 3 | 3 | 2 | 36.0 | 20 | 30 | 19 | 5 | 25.5 | 7.5 | 5.00 | 20.0 | 4.50 | 1.00 | 22.22% | 2.50 | 0.50 | 80.00% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 29.00 | 21.00 | 21.00 | 6.00 | 12.00 | 6.50 | 63.6% | 12.5% | 90.2% | 102.7 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.00 | -2.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 2 | 1 | 0 | 33.0 | 9 | 10 | 14 | 0 | 37.0 | 11.0 | 6.00 | 24.0 | 3.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.00 | 19.00 | 21.00 | 5.00 | 12.00 | 6.00 | 42.9% | 9.1% | 86.5% | 95.6 | FUN |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 1 | 3 | 0 | 35.5 | 21 | 25 | 25 | 0 | 37.0 | 10.0 | 11.50 | 22.5 | 3.50 | 1.50 | 42.86% | 4.00 | 1.50 | 62.50% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 24.00 | 16.50 | 23.00 | 6.50 | 12.50 | 6.50 | 50.0% | 9.9% | 90.5% | 100.4 | FUN |
4 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 7.0 | 10.5 | 0 | 0 | 3 | 0 | 3 | 1 | 38.5 | 24 | 25 | 27 | 1 | 30.0 | 6.0 | 7.00 | 20.5 | 4.50 | 1.00 | 22.22% | 3.50 | 2.00 | 42.86% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 26.00 | 18.00 | 22.50 | 6.50 | 11.50 | 6.00 | 55.6% | 9.1% | 86.7% | 95.8 | FUN |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.00 | 1.50 | 4 | 1.000 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 2 | 3 | 0 | 32.0 | 16 | 25 | 23 | 0 | 33.0 | 5.0 | 3.00 | 21.0 | 3.50 | 0.50 | 14.29% | 1.50 | 0.00 | 100.00% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.00 | 18.00 | 22.00 | 6.50 | 12.50 | 6.00 | 60.0% | 10.9% | 93.9% | 104.9 | LUCKY |
6 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4.00 | 4.50 | -0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 1 | 0 | 2 | 3 | 2 | 1 | 34.5 | 23 | 18 | 26 | 2 | 33.5 | 7.0 | 6.00 | 19.0 | 3.00 | 0.00 | 0.00% | 0.50 | 0.00 | 100.00% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 21.50 | 15.00 | 25.50 | 7.50 | 13.00 | 6.50 | 47.1% | 11.6% | 86.6% | 98.2 | FUN |
_Vs Division | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN | |
_Vs Conference | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN | |
_Since Last GM Reset | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN | |
Total | 11 | 4 | 4 | 0 | 2 | 0 | 1 | 0 | 3.73 | 3.45 | 0.27 | 14 | 0.636 | 3.7 | 6.6 | 10.4 | 1 | 0 | 12 | 11 | 15 | 4 | 35.1 | 113 | 133 | 134 | 8 | 32.3 | 7.5 | 6.45 | 20.9 | 3.73 | 0.73 | 19.51% | 2.45 | 0.82 | 66.67% | 0 | 209 | 408 | 51.23% | 168 | 361 | 46.54% | 96 | 171 | 56.14% | 25.27 | 18.00 | 22.82 | 6.73 | 12.45 | 6.36 | 53.2% | 10.6% | 89.3% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 408 |
Neutral Zone Start | 171 |
Defensive Zone Start | 361 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 473 |
Faceoffs Lost | 467 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 34.5 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 32 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 4 |
Lost | 3 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 41 |
---|---|
PP Goal | 8 |
PK Attempt | 27 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 35.1 |
Shots Against | 32.3 |
Goals For | 3.7 |
Goals Against | 3.5 |
Hits | 20.9 |
Shots Blocked | 7.5 |
Pim | 6.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | @ | ![]() | REV2,BFT4 | RECAP | |||||||||
4 | ![]() | @ | ![]() | TRA5,REV3 | RECAP | |||||||||
7 | ![]() | @ | ![]() | MUS5,REV3 | RECAP | |||||||||
10 | ![]() | @ | ![]() | REV4,TRA2 | RECAP | |||||||||
11 | ![]() | @ | ![]() | REV5,HEL2 | RECAP | |||||||||
15 | ![]() | @ | ![]() | BIS5,REV3 | RECAP | |||||||||
18 | ![]() | @ | ![]() | BFT5,REV6 (OT) | RECAP | |||||||||
19 | ![]() | @ | ![]() | REV4,BIS3 (OT) | RECAP | |||||||||
22 | ![]() | @ | ![]() | REV3,DRA1 | RECAP | |||||||||
25 | ![]() | @ | ![]() | DRA3,REV4 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
28 | ![]() | @ | ![]() | HEL3,REV4 (SO) | RECAP | |||||||||
31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,668,524$ | 600,000$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Vienna | ||
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 |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,668,524$ | 81,668,524$ | 0$ | 600,000$ |
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$ | 116,780,703$ | 116,780,703$ |
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 |
---|---|---|---|---|---|
Marcus Gidlof | ![]() | 2024 | 80 | 0 | |
Maxmilian Curran | ![]() | 2024 | 183 | 0 | |
Sam McCue | ![]() | 2024 | 174 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Marcus Gidlof | ![]() | 2024 | 80 | 0 | |
Maxmilian Curran | ![]() | 2024 | 183 | 0 | |
Sam McCue | ![]() | 2024 | 174 | 0 |
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