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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Worcester Great Whites 0-4-0, 0pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 28 | C/RW | 100.00 | 40 | 40 | 77 | 31 | 74 | 78 | 99 | 67 | 76 | 67 | 74 | 84 | 18 | 53 | 45 | 84 | 75 | 83 | 26 | 4,850,000$/2yrs | |||
![]() | 9 | C/LW | 100.00 | 45 | 40 | 78 | 29 | 78 | 62 | 98 | 70 | 80 | 70 | 74 | 82 | 47 | 54 | 49 | 86 | 75 | 83 | 26 | 2,280,000$/1yrs | |||
![]() | 36 | LW/RW | 100.00 | 33 | 40 | 81 | 29 | 63 | 50 | 75 | 72 | 57 | 79 | 73 | 64 | 90 | 72 | 63 | 85 | 75 | 77 | 33 | 4,675,000$/1yrs | |||
![]() | 13 | C | 100.00 | 44 | 40 | 77 | 37 | 86 | 54 | 98 | 67 | 71 | 66 | 72 | 75 | 61 | 61 | 57 | 79 | 75 | 76 | 29 | 7,142,857$/3yrs | |||
![]() | 6 | RW | 100.00 | 36 | 40 | 79 | 35 | 78 | 72 | 99 | 68 | 59 | 62 | 76 | 60 | 47 | 45 | 42 | 81 | 75 | 76 | 24 | 5,875,000$/2yrs | |||
![]() | 39 | C/LW/RW | 100.00 | 41 | 40 | 75 | 37 | 77 | 50 | 99 | 63 | 52 | 58 | 76 | 73 | 78 | 49 | 43 | 79 | 75 | 75 | 24 | 2,000,000$/2yrs | |||
![]() | 92 | C/LW | 100.00 | 54 | 40 | 82 | 36 | 81 | 50 | 68 | 66 | 77 | 59 | 76 | 72 | 45 | 57 | 48 | 79 | 75 | 75 | 28 | 750,000$/2yrs | |||
![]() | 71 | C/RW | 100.00 | 64 | 50 | 77 | 41 | 72 | 50 | 84 | 64 | 74 | 65 | 69 | 82 | 45 | 39 | 39 | 75 | 75 | 74 | 25 | 750,000$/2yrs | |||
![]() | 72 | C/LW/RW | 100.00 | 49 | 40 | 76 | 38 | 73 | 50 | 99 | 69 | 42 | 59 | 75 | 69 | 42 | 47 | 41 | 78 | 75 | 73 | 27 | 2,533,333$/2yrs | |||
![]() | 77 | C | 100.00 | 46 | 40 | 83 | 44 | 82 | 50 | 80 | 59 | 67 | 62 | 68 | 85 | 47 | 45 | 41 | 73 | 75 | 73 | 26 | 1,675,000$/1yrs | |||
![]() | 16 | LW/RW | 100.00 | 57 | 49 | 80 | 40 | 71 | 50 | 68 | 65 | 52 | 61 | 75 | 66 | 42 | 59 | 49 | 76 | 75 | 71 | 29 | 2,800,000$/2yrs | |||
![]() | 14 | LW | 100.00 | 57 | 74 | 72 | 40 | 88 | 50 | 98 | 69 | 38 | 69 | 71 | 61 | 47 | 82 | 64 | 76 | 75 | 70 | 33 | 725,000$/2yrs | |||
![]() | 24 | D | 100.00 | 44 | 40 | 69 | 44 | 72 | 72 | 91 | 67 | 25 | 77 | 68 | 81 | 47 | 63 | 53 | 79 | 75 | 79 | 26 | 6,000,000$/3yrs | |||
![]() | 76 | D | 100.00 | 39 | 40 | 76 | 48 | 77 | 73 | 79 | 63 | 25 | 69 | 67 | 80 | 45 | 88 | 71 | 74 | 75 | 76 | 32 | 4,500,000$/2yrs | |||
![]() | 4 | D | 100.00 | 39 | 40 | 73 | 46 | 78 | 61 | 99 | 70 | 25 | 77 | 64 | 75 | 45 | 50 | 45 | 77 | 75 | 75 | 24 | 4,550,000$/6yrs | |||
![]() | 2 | D | 100.00 | 54 | 40 | 76 | 47 | 78 | 50 | 84 | 64 | 25 | 72 | 67 | 82 | 45 | 45 | 40 | 75 | 75 | 75 | 25 | 925,000$/1yrs | |||
![]() | 5 | D | 100.00 | 49 | 40 | 77 | 49 | 84 | 50 | 79 | 63 | 25 | 70 | 64 | 82 | 45 | 49 | 42 | 73 | 75 | 74 | 24 | 575,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 41 | C/LW/RW | 100.00 | 77 | 40 | 82 | 40 | 63 | 50 | 82 | 62 | 65 | 60 | 71 | 79 | 82 | 67 | 66 | 76 | 75 | 74 | 32 | 3,000,000$/1yrs | |||
![]() | 94 | LW | 100.00 | 96 | 96 | 72 | 49 | 70 | 50 | 61 | 56 | 25 | 56 | 67 | 66 | 45 | 42 | 42 | 69 | 75 | 66 | 26 | 450,000$/1yrs | |||
![]() | 29 | D | 100.00 | 50 | 62 | 83 | 51 | 78 | 50 | 23 | 38 | 25 | 41 | 62 | 94 | 45 | 46 | 48 | 69 | 75 | 76 | 27 | 2,000,000$/1yrs | |||
![]() | 84 | D | 100.00 | 42 | 60 | 83 | 51 | 80 | 50 | 59 | 63 | 25 | 64 | 58 | 74 | 45 | 39 | 37 | 69 | 75 | 69 | 25 | 741,666$/2yrs | |||
![]() | 3 | D | 100.00 | 43 | 40 | 82 | 50 | 75 | 50 | 59 | 68 | 25 | 69 | 63 | 70 | 45 | 42 | 38 | 71 | 75 | 69 | 24 | 850,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 50 | 47 | 78 | 41 | 76 | 56 | 81 | 64 | 47 | 65 | 70 | 75 | 50 | 54 | 48 | 77 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 90 | 100.00 | 82 | 99 | 78 | 97 | 83 | 86 | 81 | 81 | 81 | 82 | 62 | 60 | 58 | 79 | 75 | 79 | 29 | 4,500,000$/4yrs |
![]() | 1 | 100.00 | 79 | 99 | 83 | 93 | 79 | 92 | 80 | 80 | 79 | 79 | 77 | 71 | 58 | 69 | 75 | 72 | 32 | 1,250,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 82 | 100.00 | 81 | 56 | 70 | 58 | 81 | 88 | 81 | 85 | 81 | 81 | 74 | 44 | 39 | 56 | 75 | 60 | 26 | 500,000$/1yrs |
TEAM AVERAGE | 100.00 | 81 | 85 | 77 | 83 | 81 | 89 | 81 | 82 | 80 | 81 | 71 | 58 | 52 | 68 | 75 | 70 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Claude Julien | 87 | 86 | 85 | 84 | 89 | 83 | 57 | CAN | 60 | 3 | 0$ |
General Manager | Felix Julien |
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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 | Jake Evans | ![]() | 71 | C/RW | 4 | 1 | 2 | 3 | 2 | 0 | 0 | 12 | 11 | 4 | 8 | 9.09% | 4 | 12.20 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 5 | 3 | 1 | 0 | 0 | 1.23 | 0 | 0 |
2 | Mats Zuccarello | ![]() | 36 | LW/RW | 4 | 0 | 2 | 2 | -7 | 0 | 0 | 6 | 11 | 2 | 10 | 0.00% | 1 | 17.87 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 2 | 0 | 0 | 0 | 0.56 | 0 | 0 |
3 | Paul Byron | ![]() | 41 | C/LW/RW | 4 | 0 | 2 | 2 | 2 | 0 | 0 | 5 | 7 | 0 | 4 | 0.00% | 1 | 11.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 2 | 2 | 0 | 0 | 0.88 | 0 | 0 |
4 | Tomas Nosek | ![]() | 92 | C/LW | 4 | 2 | 0 | 2 | 2 | 2 | 0 | 2 | 5 | 2 | 2 | 40.00% | 0 | 11.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.52% | 33 | 4 | 0 | 0 | 0 | 0.87 | 0 | 0 |
5 | Andrew Copp | ![]() | 9 | C/LW | 4 | 2 | 0 | 2 | -6 | 2 | 0 | 16 | 8 | 2 | 5 | 25.00% | 3 | 20.65 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 49.35% | 77 | 0 | 2 | 0 | 0 | 0.48 | 0 | 0 |
6 | Adrian Kempe | ![]() | 39 | C/LW/RW | 4 | 0 | 1 | 1 | -2 | 0 | 0 | 4 | 7 | 3 | 1 | 0.00% | 4 | 17.00 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 3 | 3 | 1 | 0 | 0 | 0.29 | 0 | 0 |
7 | Kevin Hayes | ![]() | 13 | C | 4 | 1 | 0 | 1 | -2 | 0 | 0 | 8 | 9 | 5 | 3 | 11.11% | 2 | 16.42 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 46.94% | 49 | 3 | 1 | 0 | 0 | 0.30 | 0 | 0 |
8 | Rasmus Andersson | ![]() | 4 | D | 4 | 0 | 1 | 1 | -4 | 0 | 0 | 3 | 6 | 2 | 3 | 0.00% | 3 | 22.51 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.22 | 0 | 0 |
9 | Elias Lindholm | ![]() | 28 | C/RW | 4 | 0 | 1 | 1 | -6 | 2 | 0 | 6 | 7 | 4 | 5 | 0.00% | 3 | 20.62 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 33.33% | 3 | 3 | 2 | 0 | 0 | 0.24 | 0 | 0 |
10 | Philippe Myers | ![]() | 5 | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 3 | 1 | 0.00% | 5 | 12.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.40 | 0 | 0 |
11 | Artyom Zub | ![]() | 2 | D | 4 | 0 | 1 | 1 | -4 | 4 | 0 | 6 | 5 | 3 | 1 | 0.00% | 8 | 21.48 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 2 | 1 | 0 | 0 | 0.23 | 0 | 0 |
12 | Frank Vatrano | ![]() | 72 | C/LW/RW | 4 | 0 | 0 | 0 | -3 | 2 | 0 | 3 | 5 | 1 | 3 | 0.00% | 0 | 10.45 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 4 | 1 | 0 | 0 | 0.00 | 0 | 0 |
13 | Pat Maroon | ![]() | 14 | LW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 2 | 1 | 0 | 0.00% | 0 | 3.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
14 | P.K. Subban | ![]() | 76 | D | 4 | 0 | 0 | 0 | -6 | 2 | 0 | 3 | 5 | 2 | 1 | 0.00% | 4 | 26.41 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.00 | 0 | 0 |
15 | Jason Zucker | ![]() | 16 | LW/RW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 5 | 7 | 5 | 5 | 0.00% | 0 | 9.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Brock Boeser | ![]() | 6 | RW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 14 | 5 | 2 | 0.00% | 1 | 17.40 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 8 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Matt Dumba | ![]() | 24 | D | 4 | 0 | 0 | 0 | -7 | 6 | 0 | 10 | 9 | 2 | 2 | 0.00% | 6 | 25.79 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 |
18 | Mark Jankowski | ![]() | 77 | C | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 2 | 2 | 1 | 0.00% | 4 | 17.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83.33% | 12 | 0 | 4 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 72 | 6 | 11 | 17 | -50 | 22 | 0 | 103 | 122 | 48 | 57 | 4.92% | 49 | 16.39 | 1 | 1 | 2 | 109 | 0 | 0 | 0 | 79 | 0 | 0 | 50.24% | 205 | 36 | 25 | 0 | 0 | 0.29 | 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 | Robin Lehner | ![]() | 4 | 0 | 4 | 0 | 0.871 | 4.00 | 240 | 0 | 0 | 16 | 124 | 63 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Team Total or Average | 4 | 0 | 4 | 0 | 0.871 | 4.00 | 240 | 0 | 0 | 16 | 124 | 63 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky | |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 88 |
Neutral Zone Start | 43 |
Defensive Zone Start | 74 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 103 |
Faceoffs Lost | 102 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 30.5 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.5 | 2.67 |
Overtime | 1.5 | 2.83 |
Even Strenght Goal | 5 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
---|---|
PP Goal | 1 |
PK Attempt | 11 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 30.5 |
Shots Against | 31.0 |
Goals For | 1.5 |
Goals Against | 4.0 |
Hits | 25.8 |
Shots Blocked | 12.3 |
Pim | 5.5 |
![]() | |
Total Salaries | 68,167,689$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 81,500,000$ |
Retains And Buyout Cap Hit | 325,000$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 56 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Great Whites Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | C/LW/RW | 24 | 2,000,000$ | 357,143$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Andrew Copp | C/LW | 26 | 2,280,000$ | 407,143$ | 2,280,000$ | RFA | ||||||
Artyom Zub | D | 25 | 925,000$ | 165,179$ | 925,000$ | RFA | ||||||
Brock Boeser | RW | 24 | 5,875,000$ | 1,049,107$ | 5,875,000$ | 5,875,000$ | RFA | |||||
Caleb Jones | D | 24 | 850,000$ | 151,786$ | 850,000$ | 850,000$ | RFA | |||||
Elias Lindholm | C/RW | 26 | 4,850,000$ | 866,071$ | 4,850,000$ | 4,850,000$ | UFA | |||||
Frank Vatrano | C/LW/RW | 27 | 2,533,333$ | 452,381$ | 2,533,333$ | 2,533,333$ | UFA | |||||
Jake Evans | C/RW | 25 | 750,000$ | 133,929$ | 750,000$ | 750,000$ | RFA | |||||
Jake McCabe | D | 27 | 2,000,000$ | 357,143$ | 2,000,000$ | UFA | ||||||
Jason Zucker | LW/RW | 29 | 2,800,000$ | 500,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Kevin Hayes | C | 29 | 7,142,857$ | 1,275,510$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | ||||
Mark Jankowski | C | 26 | 1,675,000$ | 299,107$ | 1,675,000$ | RFA | ||||||
Mats Zuccarello | LW/RW | 33 | 4,675,000$ | 834,821$ | 4,675,000$ | UFA | ||||||
Matt Dumba | D | 26 | 6,000,000$ | 1,071,429$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Mikko Koskinen | G | 32 | 1,250,000$ | 223,214$ | 1,250,000$ | UFA | ||||||
P.K. Subban | D | 32 | 4,500,000$ | 803,571$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Pat Maroon | LW | 33 | 725,000$ | 129,464$ | 725,000$ | 725,000$ | UFA | |||||
Paul Byron | C/LW/RW | 32 | 3,000,000$ | 535,714$ | 3,000,000$ | UFA | ||||||
Philippe Myers | D | 24 | 575,000$ | 102,679$ | 575,000$ | RFA | ||||||
Rasmus Andersson | D | 24 | 4,550,000$ | 812,500$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | UFA | |
Robin Lehner | G | 29 | 4,500,000$ | 803,571$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Ryan Lomberg | LW | 26 | 450,000$ | 80,357$ | 450,000$ | RFA | ||||||
Timur Bilyalov | G | 26 | 500,000$ | 89,286$ | 500,000$ | RFA | ||||||
Tomas Nosek | C/LW | 28 | 750,000$ | 133,929$ | 750,000$ | 750,000$ | UFA | |||||
William Lagesson | D | 25 | 741,666$ | 132,440$ | 741,666$ | 741,666$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
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Alex Green | D | 23 | 500,000$ | 8,929$ | 50,000$ | RFA | ||||||
Anatoli Golyshev | LW/RW | 26 | 600,000$ | 10,714$ | 60,000$ | RFA | ||||||
Ben Thomas | D | 25 | 500,000$ | 8,929$ | 50,000$ | RFA | ||||||
Bokondji Imama | LW | 24 | 735,000$ | 13,125$ | 73,500$ | RFA | ||||||
Carl Dahlstrom | D | 26 | 500,000$ | 8,929$ | 50,000$ | 50,000$ | UFA | |||||
Cooper Marody | C | 24 | 925,000$ | 16,518$ | 92,500$ | 92,500$ | RFA | |||||
Dawson Barteaux | D | 21 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Dmytro Timashov | LW/RW | 24 | 700,000$ | 12,500$ | 70,000$ | RFA | ||||||
Gabriel Fontaine | C | 24 | 700,000$ | 12,500$ | 70,000$ | RFA | ||||||
Henri Nikkanen | C | 20 | 500,000$ | 8,929$ | 50,000$ | RFA | ||||||
Ilya Lyubushkin | D | 27 | 575,000$ | 10,268$ | 57,500$ | 57,500$ | UFA | |||||
Ilya Nikolayev | C | 20 | 550,000$ | 9,821$ | 55,000$ | RFA | ||||||
Joe Snively | LW | 25 | 925,000$ | 16,518$ | 92,500$ | 92,500$ | RFA | |||||
John Quenneville | C/LW/RW | 25 | 750,000$ | 13,393$ | 75,000$ | 75,000$ | RFA | |||||
Joseph Blandisi | C/LW | 26 | 625,000$ | 11,161$ | 62,500$ | RFA | ||||||
Karl Henriksson | C/LW | 20 | 625,000$ | 11,161$ | 62,500$ | RFA | ||||||
Laurent Dauphin | C/LW | 26 | 700,000$ | 12,500$ | 70,000$ | RFA | ||||||
Lucas Ekestahl Jonsson | D | 25 | 475,000$ | 8,482$ | 47,500$ | 47,500$ | RFA | |||||
Martin Kaut | RW | 21 | 875,000$ | 15,625$ | 87,500$ | RFA | ||||||
Mathias Brome | LW/RW | 26 | 525,000$ | 9,375$ | 52,500$ | RFA | ||||||
Pierre-Olivier Joseph | D | 21 | 863,333$ | 15,417$ | 86,333$ | 86,333$ | RFA | |||||
Rem Pitlick | C/RW | 24 | 650,000$ | 11,607$ | 65,000$ | RFA | ||||||
Robin Press | D | 26 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Ruslan Iskhakov | C | 20 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Ryan Johnson | D | 19 | 725,000$ | 12,946$ | 72,500$ | 72,500$ | RFA | |||||
Samuel Ersson | G | 21 | 500,000$ | 8,929$ | 50,000$ | 50,000$ | RFA | |||||
Taylor Raddysh | RW | 23 | 700,000$ | 12,500$ | 70,000$ | RFA | ||||||
Timur Ibragimov | LW | 20 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Vasili Koshechkin | G | 38 | 1,000,000$ | 17,857$ | 100,000$ | UFA | ||||||
Veini Vehvilainen | G | 24 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Vitali Abramov | LW/RW | 23 | 475,000$ | 8,482$ | 47,500$ | RFA |
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1st Power Play Unit | |||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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1 | ![]() | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky | |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 2.8 | 4.3 | 0 | 0 | 2 | 2 | 2 | 0 | 30.5 | 38 | 41 | 43 | 0 | 31.0 | 12.3 | 5.50 | 25.8 | 3.00 | 0.25 | 8.33% | 2.75 | 0.25 | 90.91% | 0 | 43 | 88 | 48.86% | 33 | 74 | 44.59% | 27 | 43 | 62.79% | 21.50 | 12.50 | 22.75 | 8.75 | 15.50 | 7.50 | 25.0% | 4.9% | 87.1% | 92.0 | Unlucky |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 88 |
Neutral Zone Start | 43 |
Defensive Zone Start | 74 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 103 |
Faceoffs Lost | 102 |
Team Average Shots after | League Average Shots after | |
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1st Period | 9.5 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 30.5 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.5 | 2.67 |
Overtime | 1.5 | 2.83 |
Even Strenght Goal | 5 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
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PP Goal | 1 |
PK Attempt | 11 |
PK Goal Against | 1 |
Home | |
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Shots For | 30.5 |
Shots Against | 31.0 |
Goals For | 1.5 |
Goals Against | 4.0 |
Hits | 25.8 |
Shots Blocked | 12.3 |
Pim | 5.5 |
Date | Matchup | Result | Detail | ||
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Fri, Jul 8 | ![]() | @ | ![]() | GWS3,MUS6 | RECAP |
Sun, Jul 10 | ![]() | @ | ![]() | GWS2,MUS3 | RECAP |
Tue, Jul 12 | ![]() | @ | ![]() | MUS3,GWS1 | RECAP |
Thu, Jul 14 | ![]() | @ | ![]() | MUS4,GWS0 | RECAP |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
65,897,856$ | 325,000$ | 0$ | 81,500,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Carcharadon Center | |
City | Worcester | ||
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 | 10188 | 9629 | 3429 | 7553 | 1717 |
Attendance PCT | 84.90% | 96.29% | 85.73% | 94.41% | 85.85% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 16258 - 90.32% | 1,105,508$ | 2,211,015$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
65,897,856$ | 65,897,856$ | 0$ | 325,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 162,711,415$ | 162,711,415$ |
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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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2022 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() ![]() | |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
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Aatu Raty | ![]() | 2021 | 54 | ||
Artyom Galimov | ![]() | 2020 | 145 | ||
Drew Commesso | ![]() | 2020 | 59 | ||
Francesco Arcuri | ![]() | 2021 | 173 | ||
Luke Tuch | ![]() | 2020 | 58 | ||
Marco Rossi | ![]() | 2020 | 7 | ||
Oskar Olausson | ![]() | 2021 | 26 | ||
Roby Jarventie | ![]() | 2020 | 33 | ||
Tristan Lennox | ![]() | 2021 | 82 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2022 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() ![]() | |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
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Aatu Raty | ![]() | 2021 | 54 | ||
Artyom Galimov | ![]() | 2020 | 145 | ||
Drew Commesso | ![]() | 2020 | 59 | ||
Francesco Arcuri | ![]() | 2021 | 173 | ||
Luke Tuch | ![]() | 2020 | 58 | ||
Marco Rossi | ![]() | 2020 | 7 | ||
Oskar Olausson | ![]() | 2021 | 26 | ||
Roby Jarventie | ![]() | 2020 | 33 | ||
Tristan Lennox | ![]() | 2021 | 82 |
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