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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Worcester Great Whites 5-6-0, 10pts · 10th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 9 | C/LW/RW | 100.00 | 80 | 45 | 74 | 92 | 75 | 79 | 97 | 90 | 32 | 86 | 86 | 75 | 75 | 71 | 72 | 86 | 75 | 83 | 27 | 5,500,000$/3yrs | |||
![]() | 6 | RW | 100.00 | 69 | 43 | 94 | 80 | 75 | 79 | 95 | 98 | 49 | 80 | 92 | 63 | 57 | 73 | 73 | 87 | 75 | 81 | 27 | 6,650,000$/2yrs | |||
![]() | 57 | LW/RW | 100.00 | 80 | 44 | 79 | 80 | 73 | 70 | 96 | 88 | 41 | 79 | 73 | 65 | 63 | 89 | 90 | 76 | 75 | 73 | 36 | 3,500,000$/1yrs | |||
![]() | 90 | C | 100.00 | 69 | 42 | 88 | 83 | 63 | 70 | 79 | 84 | 62 | 66 | 76 | 66 | 59 | 76 | 82 | 72 | 75 | 71 | 33 | 2,500,000$/1yrs | |||
![]() | 15 | LW | 100.00 | 63 | 41 | 93 | 84 | 70 | 62 | 76 | 68 | 25 | 63 | 82 | 64 | 53 | 64 | 64 | 74 | 75 | 71 | 28 | 1,500,000$/1yrs | |||
![]() | 23 | C | 100.00 | 63 | 51 | 83 | 80 | 64 | 74 | 93 | 78 | 75 | 68 | 77 | 62 | 25 | 56 | 56 | 73 | 75 | 71 | 22 | 863,334$/2yrs | |||
![]() | 19 | C/LW/RW | 100.00 | 76 | 43 | 89 | 80 | 68 | 70 | 80 | 72 | 53 | 66 | 71 | 72 | 63 | 77 | 81 | 69 | 75 | 70 | 32 | 2,050,000$/1yrs | |||
![]() | 53 | C | 100.00 | 84 | 45 | 90 | 79 | 69 | 66 | 93 | 66 | 87 | 65 | 66 | 85 | 75 | 81 | 85 | 66 | 75 | 70 | 33 | 1,250,000$/1yrs | |||
![]() | 28 | C/LW | 100.00 | 65 | 42 | 95 | 87 | 74 | 70 | 64 | 68 | 94 | 61 | 70 | 81 | 57 | 70 | 70 | 66 | 75 | 69 | 28 | 2,250,000$/1yrs | |||
![]() | 7 | C/LW | 100.00 | 90 | 46 | 81 | 76 | 78 | 65 | 84 | 66 | 77 | 62 | 68 | 82 | 25 | 69 | 72 | 65 | 75 | 68 | 31 | 2,250,000$/2yrs | |||
![]() | 95 | LW/RW | 100.00 | 61 | 42 | 90 | 84 | 76 | 68 | 66 | 81 | 44 | 64 | 66 | 66 | 38 | 76 | 80 | 65 | 75 | 66 | 29 | 2,800,000$/1yrs | |||
![]() | 56 | RW | 100.00 | 65 | 40 | 90 | 81 | 54 | 61 | 76 | 78 | 42 | 62 | 66 | 65 | 75 | 66 | 68 | 64 | 75 | 64 | 25 | 3,100,000$/1yrs | |||
![]() | 4 | D | 100.00 | 65 | 52 | 82 | 82 | 77 | 89 | 96 | 80 | 25 | 68 | 53 | 86 | 75 | 70 | 71 | 75 | 75 | 80 | 27 | 4,550,000$/3yrs | |||
![]() | 2 | D | 100.00 | 85 | 45 | 86 | 82 | 75 | 82 | 78 | 63 | 25 | 63 | 49 | 90 | 25 | 64 | 64 | 63 | 75 | 74 | 28 | 4,600,000$/3yrs | |||
![]() | 22 | D | 100.00 | 95 | 61 | 78 | 83 | 76 | 81 | 92 | 64 | 25 | 61 | 51 | 86 | 25 | 73 | 74 | 63 | 75 | 73 | 30 | 4,000,000$/2yrs | |||
![]() | 75 | D | 100.00 | 91 | 77 | 70 | 76 | 64 | 70 | 96 | 63 | 25 | 53 | 48 | 86 | 45 | 66 | 69 | 58 | 75 | 69 | 29 | 1,700,000$/1yrs | |||
![]() | 44 | D | 100.00 | 97 | 71 | 73 | 69 | 72 | 77 | 78 | 66 | 25 | 47 | 48 | 84 | 25 | 61 | 61 | 57 | 75 | 68 | 28 | 550,000$/1yrs | |||
![]() | 73 | D | 100.00 | 73 | 43 | 91 | 74 | 70 | 66 | 82 | 63 | 25 | 52 | 48 | 74 | 25 | 60 | 60 | 58 | 75 | 64 | 24 | 825,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 72 | C/RW | 100.00 | 67 | 42 | 95 | 70 | 68 | 54 | 66 | 64 | 61 | 79 | 64 | 65 | 25 | 65 | 65 | 70 | 75 | 67 | 30 | 875,000$/1yrs | |||
![]() | 77 | C | 100.00 | 77 | 45 | 94 | 77 | 80 | 63 | 93 | 78 | 82 | 56 | 68 | 79 | 61 | 95 | 99 | 63 | 75 | 66 | 39 | 1,600,000$/1yrs | |||
![]() | 48 | D | 100.00 | 71 | 52 | 83 | 83 | 61 | 72 | 86 | 62 | 25 | 51 | 48 | 75 | 25 | 68 | 72 | 57 | 75 | 65 | 30 | 3,687,500$/1yrs | |||
TEAM AVERAGE | 100.00 | 76 | 48 | 86 | 80 | 71 | 71 | 84 | 73 | 48 | 64 | 65 | 75 | 47 | 71 | 73 | 68 | 75 | 71 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 72 | 79 | 77 | 76 | 73 | 71 | 69 | 70 | 71 | 72 | 57 | 65 | 66 | 80 | 75 | 79 | 29 | 4,500,000$/1yrs |
![]() | 33 | 100.00 | 66 | 81 | 77 | 68 | 65 | 66 | 69 | 67 | 65 | 66 | 75 | 51 | 51 | 74 | 75 | 75 | 24 | 859,167$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 80 | 77 | 72 | 69 | 69 | 69 | 69 | 68 | 69 | 66 | 58 | 59 | 77 | 75 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | UHL |
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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 | Adrian Kempe | ![]() | 9 | C/LW/RW | 11 | 4 | 11 | 15 | 2 | 10 | 0 | 39 | 49 | 12 | 46 | 8.16% | 0 | 19.35 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 1 | 0 | 36.00% | 25 | 0 | 0 | 0 | 0 | 1.41 | 0 | 0 |
2 | Rasmus Andersson | ![]() | 4 | D | 11 | 2 | 13 | 15 | 5 | 0 | 0 | 1 | 28 | 10 | 13 | 7.14% | 16 | 24.15 | 1 | 3 | 4 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 |
3 | Brock Boeser | ![]() | 6 | RW | 11 | 6 | 7 | 13 | 2 | 2 | 0 | 3 | 54 | 10 | 36 | 11.11% | 1 | 18.59 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 15.79% | 19 | 0 | 0 | 0 | 0 | 1.27 | 0 | 0 |
4 | David Perron | ![]() | 57 | LW/RW | 11 | 4 | 8 | 12 | -2 | 11 | 5 | 29 | 42 | 11 | 32 | 9.52% | 3 | 17.08 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 56.25% | 16 | 0 | 0 | 0 | 0 | 1.28 | 0 | 0 |
5 | Tyler Johnson | ![]() | 90 | C | 11 | 6 | 5 | 11 | -4 | 4 | 0 | 8 | 38 | 9 | 24 | 15.79% | 0 | 16.41 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 43.20% | 250 | 0 | 0 | 0 | 0 | 1.22 | 0 | 0 |
6 | Sonny Milano | ![]() | 15 | LW | 11 | 3 | 5 | 8 | -4 | 4 | 0 | 2 | 28 | 12 | 19 | 10.71% | 0 | 16.40 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6.67% | 15 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 |
7 | Jake McCabe | ![]() | 22 | D | 11 | 4 | 3 | 7 | 5 | 19 | 5 | 31 | 19 | 9 | 7 | 21.05% | 17 | 21.83 | 1 | 2 | 3 | 0 | 0 | 0 | 32 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 |
8 | Connor Clifton | ![]() | 75 | D | 11 | 0 | 7 | 7 | 2 | 24 | 0 | 36 | 5 | 3 | 8 | 0.00% | 14 | 17.25 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
9 | Marco Rossi | ![]() | 23 | C | 11 | 2 | 3 | 5 | 3 | 4 | 0 | 4 | 19 | 7 | 8 | 10.53% | 0 | 18.33 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 44.85% | 272 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
10 | Christian Dvorak | ![]() | 28 | C/LW | 11 | 2 | 3 | 5 | -4 | 0 | 0 | 2 | 32 | 8 | 21 | 6.25% | 1 | 14.70 | 1 | 0 | 1 | 0 | 0 | 0 | 19 | 0 | 1 | 75.00% | 8 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 |
11 | Andre Burakovsky | ![]() | 95 | LW/RW | 11 | 0 | 5 | 5 | -3 | 0 | 0 | 1 | 18 | 7 | 15 | 0.00% | 0 | 10.72 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 |
12 | Kyle Burroughs | ![]() | 44 | D | 11 | 2 | 2 | 4 | -14 | 34 | 10 | 34 | 6 | 2 | 9 | 33.33% | 13 | 16.92 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
13 | Calle Jarnkrok | ![]() | 19 | C/LW/RW | 11 | 2 | 1 | 3 | -3 | 2 | 0 | 7 | 17 | 3 | 10 | 11.76% | 0 | 11.14 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
14 | Jeff Carter | ![]() | 77 | C | 11 | 2 | 0 | 2 | -3 | 2 | 0 | 6 | 17 | 2 | 6 | 11.76% | 1 | 9.82 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 52.08% | 144 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
15 | Artyom Zub | ![]() | 2 | D | 11 | 1 | 1 | 2 | -13 | 21 | 5 | 14 | 9 | 2 | 7 | 11.11% | 25 | 17.91 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
16 | Casey Cizikas | ![]() | 53 | C | 11 | 0 | 1 | 1 | -3 | 0 | 0 | 18 | 16 | 6 | 15 | 0.00% | 4 | 14.46 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 0 | 49.38% | 241 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
17 | Sean Kuraly | ![]() | 7 | C/LW | 11 | 0 | 0 | 0 | -3 | 4 | 0 | 19 | 15 | 4 | 3 | 0.00% | 2 | 11.95 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 0 | 63.64% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Matt Grzelcyk | ![]() | 48 | D | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 5 | 2 | 3 | 0.00% | 8 | 15.24 | 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 | 75 | 115 | -35 | 143 | 25 | 256 | 417 | 119 | 282 | 9.59% | 105 | 16.24 | 9 | 16 | 25 | 362 | 0 | 0 | 0 | 302 | 5 | 3 | 45.79% | 1022 | 0 | 0 | 0 | 0 | 0.72 | 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 | Tristan Jarry | ![]() | 7 | 4 | 3 | 0 | 0.913 | 3.16 | 399 | 0 | 0 | 21 | 241 | 0 | 0 | 0 | 0.000 | 0 | 7 | 4 | 1 | 1 | 0 |
2 | Samuel Ersson | ![]() | 5 | 1 | 3 | 0 | 0.875 | 5.08 | 260 | 0 | 0 | 22 | 176 | 0 | 0 | 0 | 0.000 | 0 | 4 | 7 | 0 | 0 | 0 |
Team Total or Average | 12 | 5 | 6 | 0 | 0.897 | 3.92 | 659 | 0 | 0 | 43 | 417 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 1 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 2 | 2 | 1 | 41.0 | 24 | 20 | 37 | 1 | 41.5 | 9.5 | 17.50 | 25.5 | 6.00 | 0.50 | 8.33% | 7.50 | 0.50 | 93.33% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 22.00 | 15.00 | 25.50 | 7.50 | 12.00 | 6.00 | 50.0% | 8.5% | 91.6% | 100.1 | DULL |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 2 | 0 | 1 | 0 | 34.5 | 28 | 16 | 25 | 0 | 35.0 | 10.0 | 9.00 | 22.5 | 2.50 | 0.00 | 0.00% | 4.50 | 0.00 | 100.00% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.50 | 16.00 | 24.00 | 6.50 | 12.00 | 5.50 | 30.0% | 4.3% | 90.0% | 94.3 | Unlucky |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.50 | 0.00 | 2 | 0.500 | 4.5 | 8.0 | 12.5 | 0 | 0 | 5 | 3 | 1 | 0 | 33.5 | 23 | 14 | 30 | 0 | 35.5 | 10.5 | 10.50 | 26.5 | 5.00 | 1.50 | 30.00% | 1.50 | 0.00 | 100.00% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 24.50 | 16.50 | 22.00 | 7.00 | 13.00 | 6.50 | 40.0% | 13.4% | 87.3% | 100.8 | FUN |
4 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5.00 | 2.50 | 2.50 | 4 | 1.000 | 5.0 | 9.5 | 14.5 | 0 | 0 | 5 | 3 | 1 | 1 | 43.0 | 30 | 27 | 28 | 1 | 28.5 | 4.5 | 20.50 | 21.0 | 2.50 | 1.50 | 60.00% | 3.00 | 0.50 | 83.33% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 24.50 | 17.00 | 23.00 | 7.00 | 12.00 | 6.00 | 63.6% | 11.6% | 91.2% | 102.9 | LUCKY |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.00 | 0.50 | 2 | 0.500 | 4.5 | 8.5 | 13.0 | 0 | 0 | 2 | 5 | 2 | 0 | 39.5 | 27 | 20 | 32 | 0 | 40.0 | 10.0 | 10.00 | 20.5 | 3.00 | 0.50 | 16.67% | 4.50 | 1.00 | 77.78% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 21.50 | 14.50 | 25.50 | 7.00 | 12.00 | 6.00 | 57.1% | 11.4% | 90.0% | 101.4 | FUN |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 7.00 | -5.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 34.0 | 11 | 15 | 8 | 0 | 56.0 | 16.0 | 8.00 | 24.0 | 4.00 | 1.00 | 25.00% | 4.00 | 2.00 | 50.00% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 20.00 | 13.00 | 27.00 | 7.00 | 12.00 | 5.00 | 16.7% | 5.9% | 87.5% | 93.4 | Unlucky |
_Vs Division | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN | |
_Vs Conference | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN | |
_Since Last GM Reset | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN | |
Total | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 405 |
Neutral Zone Start | 195 |
Defensive Zone Start | 419 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 468 |
Faceoffs Lost | 551 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 23.2 | 20.31 |
3rd Period | 37.7 | 30.68 |
Overtime | 37.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.8 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 31 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 4 |
Lost | 4 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 42 |
---|---|
PP Goal | 9 |
PK Attempt | 46 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 37.9 |
Shots Against | 37.9 |
Goals For | 3.6 |
Goals Against | 3.9 |
Hits | 23.3 |
Shots Blocked | 9.5 |
Pim | 13.0 |
![]() | |
Total Salaries | 67,510,001$ |
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) | 58 |
Goalies Signed (min. 6) | 8 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Great Whites Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | C/LW/RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Andre Burakovsky | LW/RW | 29 | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | ||||||
Artyom Zub | D | 28 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | ||||
Brock Boeser | RW | 27 | 6,650,000$ | 6,650,000$ | 6,650,000$ | 6,650,000$ | UFA | |||||
Calle Jarnkrok | C/LW/RW | 32 | 2,050,000$ | 2,050,000$ | 2,050,000$ | UFA | ||||||
Casey Cizikas | C | 33 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||||
Christian Dvorak | C/LW | 28 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||||
Connor Clifton | D | 29 | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||||
David Perron | LW/RW | 36 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||||
Jake McCabe | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Jeff Carter | C | 39 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | ||||||
Kailer Yamamoto | RW | 25 | 3,100,000$ | 3,100,000$ | 3,100,000$ | RFA | ||||||
Kyle Burroughs | D | 28 | 550,000$ | 550,000$ | 550,000$ | UFA | ||||||
Marco Rossi | C | 22 | 863,334$ | 863,334$ | 863,334$ | 863,334$ | RFA | |||||
Matt Grzelcyk | D | 30 | 3,687,500$ | 3,687,500$ | 3,687,500$ | UFA | ||||||
Pierre-Olivier Joseph | D | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | ||||||
Rasmus Andersson | D | 27 | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | UFA | ||||
Samuel Ersson | G | 24 | 859,167$ | 859,167$ | 859,167$ | RFA | ||||||
Sean Kuraly | C/LW | 31 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Sonny Milano | LW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||||
Travis Boyd | C/RW | 30 | 875,000$ | 875,000$ | 875,000$ | UFA | ||||||
Tristan Jarry | G | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||||
Tyler Johnson | C | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | C | 21 | 836,667$ | 83,667$ | 83,667$ | 83,667$ | RFA | |||||
Cameron O'Neill | RW | 20 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Chris Driedger | G | 30 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||
Cole McWard | D | 23 | 1,150,000$ | 115,000$ | 115,000$ | 115,000$ | 115,000$ | 115,000$ | RFA | |||
Cooper Marody | C/RW | 27 | 762,500$ | 76,250$ | 76,250$ | UFA | ||||||
Curtis Hall | C | 24 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Dmitri Buchelnikov | LW | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Drew Commesso | G | 21 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | 92,500$ | RFA | ||||
Dylan James | LW | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Francesco Arcuri | C | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Gavin White | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Henri Nikkanen | C | 23 | 859,167$ | 85,917$ | 85,917$ | 85,917$ | RFA | |||||
Ilya Nikolayev | C | 23 | 836,667$ | 83,667$ | 83,667$ | 83,667$ | RFA | |||||
Jake Livingstone | D | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jasper Weatherby | C/LW | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Joe Snively | LW | 28 | 800,000$ | 80,000$ | 80,000$ | UFA | ||||||
Juha Jaaska | LW/RW | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Justin Robidas | C | 21 | 825,000$ | 82,500$ | 82,500$ | 82,500$ | 82,500$ | RFA | ||||
Kale Clague | D | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Karl Henriksson | C/LW | 23 | 870,000$ | 87,000$ | 87,000$ | RFA | ||||||
Lian Bichsel | D | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Maksymilian Szuber | D | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Miko Matikka | RW | 20 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Oskar Olausson | C/LW/RW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Peetro Seppala | D | 23 | 855,000$ | 85,500$ | 85,500$ | RFA | ||||||
Rem Pitlick | C/RW | 27 | 1,100,000$ | 110,000$ | 110,000$ | UFA | ||||||
Robin Lehner | G | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||||
Roby Jarventie | LW | 21 | 894,167$ | 89,417$ | 89,417$ | 89,417$ | RFA | |||||
Roman Will | G | 32 | 500,000$ | 50,000$ | 50,000$ | UFA | ||||||
Ruslan Iskhakov | C/LW | 23 | 855,000$ | 85,500$ | 85,500$ | RFA | ||||||
Ryan Johnson | D | 22 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA | |||||
Theo Wallberg | D | 20 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Timur Bilyalov | G | 29 | 900,000$ | 90,000$ | 90,000$ | UFA | ||||||
Tristan Lennox | G | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Zayde Wisdom | RW | 21 | 797,500$ | 79,750$ | 79,750$ | 79,750$ | RFA |
Forward Lines | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 2 | 2 | 1 | 41.0 | 24 | 20 | 37 | 1 | 41.5 | 9.5 | 17.50 | 25.5 | 6.00 | 0.50 | 8.33% | 7.50 | 0.50 | 93.33% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 22.00 | 15.00 | 25.50 | 7.50 | 12.00 | 6.00 | 50.0% | 8.5% | 91.6% | 100.1 | DULL |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 2 | 0 | 1 | 0 | 34.5 | 28 | 16 | 25 | 0 | 35.0 | 10.0 | 9.00 | 22.5 | 2.50 | 0.00 | 0.00% | 4.50 | 0.00 | 100.00% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.50 | 16.00 | 24.00 | 6.50 | 12.00 | 5.50 | 30.0% | 4.3% | 90.0% | 94.3 | Unlucky |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.50 | 0.00 | 2 | 0.500 | 4.5 | 8.0 | 12.5 | 0 | 0 | 5 | 3 | 1 | 0 | 33.5 | 23 | 14 | 30 | 0 | 35.5 | 10.5 | 10.50 | 26.5 | 5.00 | 1.50 | 30.00% | 1.50 | 0.00 | 100.00% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 24.50 | 16.50 | 22.00 | 7.00 | 13.00 | 6.50 | 40.0% | 13.4% | 87.3% | 100.8 | FUN |
4 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5.00 | 2.50 | 2.50 | 4 | 1.000 | 5.0 | 9.5 | 14.5 | 0 | 0 | 5 | 3 | 1 | 1 | 43.0 | 30 | 27 | 28 | 1 | 28.5 | 4.5 | 20.50 | 21.0 | 2.50 | 1.50 | 60.00% | 3.00 | 0.50 | 83.33% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 24.50 | 17.00 | 23.00 | 7.00 | 12.00 | 6.00 | 63.6% | 11.6% | 91.2% | 102.9 | LUCKY |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.00 | 0.50 | 2 | 0.500 | 4.5 | 8.5 | 13.0 | 0 | 0 | 2 | 5 | 2 | 0 | 39.5 | 27 | 20 | 32 | 0 | 40.0 | 10.0 | 10.00 | 20.5 | 3.00 | 0.50 | 16.67% | 4.50 | 1.00 | 77.78% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 21.50 | 14.50 | 25.50 | 7.00 | 12.00 | 6.00 | 57.1% | 11.4% | 90.0% | 101.4 | FUN |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 7.00 | -5.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 34.0 | 11 | 15 | 8 | 0 | 56.0 | 16.0 | 8.00 | 24.0 | 4.00 | 1.00 | 25.00% | 4.00 | 2.00 | 50.00% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 20.00 | 13.00 | 27.00 | 7.00 | 12.00 | 5.00 | 16.7% | 5.9% | 87.5% | 93.4 | Unlucky |
_Vs Division | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN | |
_Vs Conference | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN | |
_Since Last GM Reset | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN | |
Total | 11 | 3 | 6 | 0 | 2 | 0 | 0 | 0 | 3.64 | 3.91 | -0.27 | 10 | 0.455 | 3.6 | 6.8 | 10.5 | 0 | 0 | 17 | 14 | 7 | 2 | 37.9 | 143 | 112 | 160 | 2 | 37.9 | 9.5 | 13.00 | 23.3 | 3.82 | 0.82 | 21.43% | 4.18 | 0.55 | 86.96% | 0 | 183 | 405 | 45.19% | 199 | 419 | 47.49% | 86 | 195 | 44.10% | 23.09 | 15.82 | 24.45 | 7.18 | 12.45 | 6.18 | 45.6% | 9.6% | 89.7% | 99.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 405 |
Neutral Zone Start | 195 |
Defensive Zone Start | 419 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 468 |
Faceoffs Lost | 551 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 23.2 | 20.31 |
3rd Period | 37.7 | 30.68 |
Overtime | 37.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.8 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 31 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 4 |
Lost | 4 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 42 |
---|---|
PP Goal | 9 |
PK Attempt | 46 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 37.9 |
Shots Against | 37.9 |
Goals For | 3.6 |
Goals Against | 3.9 |
Hits | 23.3 |
Shots Blocked | 9.5 |
Pim | 13.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | @ | ![]() | MOU4,GWS1 | RECAP | |||||||||
5 | ![]() | @ | ![]() | GWS6,CRU2 | RECAP | |||||||||
9 | ![]() | @ | ![]() | SLA2,GWS6 | RECAP | |||||||||
11 | ![]() | @ | ![]() | GWS2,MOU3 | RECAP | |||||||||
13 | ![]() | @ | ![]() | LYN5,GWS4 | RECAP | |||||||||
15 | ![]() | @ | ![]() | GWS3,LYN2 (OT) | RECAP | |||||||||
17 | ![]() | @ | ![]() | GWS2,RIN7 | RECAP | |||||||||
18 | ![]() | @ | ![]() | GWS4,SLA3 (OT) | RECAP | |||||||||
21 | ![]() | @ | ![]() | JAG4,GWS3 | RECAP | |||||||||
25 | ![]() | @ | ![]() | CRU6,GWS3 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | GWS6,JAG5 | RECAP | |||||||||
32 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,510,001$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 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 |
67,510,001$ | 67,510,001$ | 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$ | 123,130,884$ | 123,130,884$ |
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 |
---|---|---|---|---|---|
Alexander Rykov | ![]() | 2023 | 114 | - | Link |
Alfons Freij | ![]() | 2024 | 33 | 0 | |
Christopher Pelosi | ![]() | 2023 | 103 | - | Link |
Clarke Caswell | ![]() | 2024 | 89 | 0 | |
Fyodor Avramov | ![]() | 2024 | 152 | 0 | |
Hoyt Stanley | ![]() | 2023 | 127 | - | Link |
Ilya Pautov | ![]() | 2024 | 173 | 0 | |
Ivan Demidov | ![]() | 2024 | 3 | 0 | |
Justin Poirier | ![]() | 2024 | 85 | 0 | |
Kalan Lind | ![]() | 2023 | 58 | - | Link |
Luke Misa | ![]() | 2024 | 61 | 0 | |
Matvei Shuravin | ![]() | 2024 | 99 | 0 | |
Noel Nordh | ![]() | 2023 | 86 | - | Link |
Otto Stenberg | ![]() | 2023 | 30 | - | Link |
Rasmus Larsson | ![]() | 2023 | 170 | - | Link |
Roman Shokhrin | ![]() | 2024 | 167 | 0 | |
Simon Zether | ![]() | 2024 | 145 | 0 | |
Veeti Vaisanen | ![]() | 2024 | 117 | 0 | |
Will Smith | ![]() | 2023 | 4 | - | Link |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() ![]() | ![]() ![]() | ![]() ![]() | ![]() ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Rykov | ![]() | 2023 | 114 | - | Link |
Alfons Freij | ![]() | 2024 | 33 | 0 | |
Christopher Pelosi | ![]() | 2023 | 103 | - | Link |
Clarke Caswell | ![]() | 2024 | 89 | 0 | |
Fyodor Avramov | ![]() | 2024 | 152 | 0 | |
Hoyt Stanley | ![]() | 2023 | 127 | - | Link |
Ilya Pautov | ![]() | 2024 | 173 | 0 | |
Ivan Demidov | ![]() | 2024 | 3 | 0 | |
Justin Poirier | ![]() | 2024 | 85 | 0 | |
Kalan Lind | ![]() | 2023 | 58 | - | Link |
Luke Misa | ![]() | 2024 | 61 | 0 | |
Matvei Shuravin | ![]() | 2024 | 99 | 0 | |
Noel Nordh | ![]() | 2023 | 86 | - | Link |
Otto Stenberg | ![]() | 2023 | 30 | - | Link |
Rasmus Larsson | ![]() | 2023 | 170 | - | Link |
Roman Shokhrin | ![]() | 2024 | 167 | 0 | |
Simon Zether | ![]() | 2024 | 145 | 0 | |
Veeti Vaisanen | ![]() | 2024 | 117 | 0 | |
Will Smith | ![]() | 2023 | 4 | - | Link |
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