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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Halifax Wolves 7-4-0, 14pts · 4th in Canadian Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 16 | C | 100.00 | 79 | 45 | 89 | 86 | 77 | 81 | 88 | 95 | 98 | 91 | 83 | 81 | 87 | 76 | 79 | 86 | 75 | 84 | 28 | 10,000,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 41 | 78 | 84 | 64 | 74 | 65 | 89 | 36 | 83 | 84 | 64 | 63 | 71 | 74 | 84 | 75 | 79 | 31 | 4,250,000$/2yrs | |||
![]() | 71 | C | 100.00 | 71 | 43 | 85 | 86 | 70 | 79 | 86 | 73 | 83 | 76 | 76 | 83 | 75 | 71 | 76 | 76 | 75 | 78 | 26 | 6,250,000$/8yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 41 | 90 | 79 | 70 | 74 | 72 | 91 | 44 | 75 | 91 | 60 | 57 | 62 | 63 | 84 | 75 | 78 | 24 | 3,437,500$/2yrs | |||
![]() | 0 | C | 100.00 | 73 | 43 | 90 | 87 | 73 | 80 | 99 | 80 | 90 | 74 | 71 | 86 | 30 | 83 | 84 | 72 | 75 | 76 | 35 | 2,800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 54 | 80 | 86 | 70 | 73 | 81 | 68 | 38 | 76 | 68 | 85 | 75 | 67 | 68 | 71 | 75 | 74 | 27 | 2,950,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 76 | 65 | 82 | 77 | 65 | 68 | 87 | 65 | 43 | 66 | 74 | 89 | 25 | 65 | 67 | 71 | 75 | 74 | 27 | 1,050,000$/2yrs | |||
![]() | 62 | C/RW | 100.00 | 83 | 55 | 79 | 77 | 71 | 69 | 82 | 65 | 85 | 63 | 71 | 92 | 25 | 70 | 72 | 68 | 75 | 73 | 34 | 1,400,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 55 | 76 | 80 | 70 | 70 | 97 | 74 | 83 | 76 | 70 | 75 | 25 | 72 | 72 | 73 | 75 | 73 | 30 | 2,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 69 | 42 | 88 | 83 | 66 | 73 | 84 | 82 | 65 | 72 | 72 | 68 | 25 | 78 | 83 | 72 | 75 | 71 | 32 | 3,800,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 43 | 92 | 73 | 75 | 65 | 87 | 69 | 55 | 64 | 71 | 66 | 25 | 67 | 68 | 68 | 75 | 67 | 28 | 762,500$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 86 | 87 | 71 | 91 | 96 | 85 | 25 | 80 | 54 | 80 | 25 | 66 | 68 | 83 | 75 | 83 | 24 | 4,000,000$/2yrs | |||
![]() | 4 | D | 100.00 | 65 | 43 | 90 | 82 | 78 | 90 | 99 | 80 | 25 | 69 | 48 | 89 | 61 | 85 | 85 | 75 | 75 | 81 | 32 | 8,000,000$/2yrs | |||
![]() | 2 | D | 100.00 | 86 | 56 | 84 | 81 | 78 | 76 | 84 | 63 | 25 | 63 | 48 | 85 | 25 | 83 | 86 | 63 | 75 | 72 | 36 | 3,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 88 | 80 | 79 | 81 | 92 | 63 | 25 | 56 | 49 | 86 | 25 | 67 | 68 | 60 | 75 | 71 | 28 | 3,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 84 | 81 | 74 | 72 | 54 | 63 | 25 | 49 | 48 | 89 | 25 | 66 | 68 | 57 | 75 | 70 | 27 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 86 | 83 | 66 | 70 | 92 | 66 | 25 | 56 | 48 | 79 | 25 | 65 | 65 | 61 | 75 | 68 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 92 | 76 | 65 | 65 | 70 | 63 | 25 | 54 | 48 | 80 | 25 | 63 | 63 | 59 | 75 | 67 | 26 | 1,450,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 22 | D | 100.00 | 63 | 41 | 86 | 80 | 69 | 69 | 62 | 63 | 25 | 50 | 48 | 80 | 75 | 62 | 63 | 57 | 75 | 66 | 26 | 2,333,333$/1yrs | |||
TEAM AVERAGE | 100.00 | 72 | 46 | 86 | 81 | 71 | 75 | 83 | 74 | 48 | 68 | 64 | 80 | 42 | 70 | 72 | 71 | 75 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 69 | 64 | 66 | 79 | 68 | 71 | 75 | 72 | 81 | 70 | 95 | 79 | 80 | 81 | 75 | 77 | 38 | 2,900,000$/1yrs |
![]() | 0 | 100.00 | 62 | 75 | 74 | 89 | 65 | 58 | 69 | 61 | 65 | 62 | 60 | 68 | 70 | 74 | 75 | 74 | 34 | 2,800,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 66 | 70 | 70 | 84 | 67 | 65 | 72 | 67 | 73 | 66 | 78 | 74 | 75 | 78 | 75 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Zac Ryan |
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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 | Anthony Cirelli | ![]() | 71 | C | 11 | 5 | 8 | 13 | -1 | 6 | 0 | 8 | 28 | 6 | 20 | 17.86% | 1 | 19.86 | 2 | 1 | 3 | 0 | 0 | 0 | 15 | 2 | 0 | 52.74% | 237 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 |
2 | Aleksander Barkov | ![]() | 16 | C | 11 | 7 | 5 | 12 | 6 | 10 | 0 | 35 | 38 | 9 | 41 | 18.42% | 3 | 24.33 | 1 | 0 | 1 | 0 | 0 | 0 | 37 | 3 | 0 | 63.45% | 290 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 |
3 | Mathieu Joseph | ![]() | 0 | LW/RW | 11 | 3 | 7 | 10 | -1 | 4 | 0 | 21 | 34 | 8 | 19 | 8.82% | 0 | 18.29 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 |
4 | Mikael Backlund | ![]() | 0 | C | 11 | 4 | 5 | 9 | 3 | 0 | 0 | 2 | 36 | 8 | 15 | 11.11% | 2 | 14.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 60.98% | 164 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 |
5 | Nic Dowd | ![]() | 62 | C/RW | 11 | 3 | 5 | 8 | 3 | 2 | 0 | 13 | 26 | 8 | 20 | 11.54% | 4 | 15.47 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 40.00% | 20 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 |
6 | Scott Laughton | ![]() | 0 | C/LW | 11 | 3 | 5 | 8 | 2 | 12 | 0 | 14 | 24 | 9 | 15 | 12.50% | 1 | 14.43 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 12.50% | 8 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 |
7 | Logan O'Connor | ![]() | 0 | RW | 11 | 6 | 2 | 8 | -1 | 5 | 5 | 15 | 26 | 9 | 14 | 23.08% | 2 | 18.10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
8 | Gabriel Vilardi | ![]() | 0 | C/RW | 11 | 3 | 4 | 7 | 6 | 2 | 0 | 6 | 25 | 4 | 21 | 12.00% | 1 | 15.51 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 |
9 | Noah Dobson | ![]() | 0 | D | 11 | 0 | 6 | 6 | 4 | 12 | 0 | 39 | 9 | 3 | 11 | 0.00% | 11 | 25.23 | 0 | 1 | 1 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
10 | Vladislav Gavrikov | ![]() | 0 | D | 11 | 0 | 5 | 5 | 2 | 4 | 0 | 9 | 7 | 2 | 6 | 0.00% | 7 | 20.30 | 0 | 1 | 1 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 |
11 | Viktor Arvidsson | ![]() | 0 | LW/RW | 11 | 3 | 2 | 5 | 6 | 2 | 0 | 5 | 24 | 13 | 18 | 12.50% | 2 | 18.20 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 12.50% | 24 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
12 | Jaden Schwartz | ![]() | 0 | LW | 11 | 3 | 1 | 4 | 1 | 0 | 0 | 4 | 8 | 5 | 5 | 37.50% | 0 | 7.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 |
13 | Travis Dermott | ![]() | 0 | D | 11 | 0 | 4 | 4 | 3 | 4 | 0 | 18 | 5 | 2 | 2 | 0.00% | 6 | 13.67 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
14 | Jeff Petry | ![]() | 2 | D | 11 | 0 | 3 | 3 | 2 | 18 | 0 | 33 | 4 | 4 | 9 | 0.00% | 17 | 19.96 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 |
15 | Cam Fowler | ![]() | 4 | D | 11 | 0 | 2 | 2 | 1 | 0 | 0 | 8 | 14 | 2 | 8 | 0.00% | 14 | 19.10 | 0 | 1 | 1 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
16 | Jacob Bryson | ![]() | 0 | D | 11 | 0 | 2 | 2 | 3 | 4 | 0 | 5 | 2 | 0 | 0 | 0.00% | 4 | 7.56 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 |
17 | Michael Amadio | ![]() | 0 | C/LW/RW | 11 | 0 | 1 | 1 | 1 | 2 | 0 | 4 | 8 | 3 | 0 | 0.00% | 0 | 7.36 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 42.70% | 89 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
18 | Erik Brannstrom | ![]() | 0 | D | 11 | 0 | 1 | 1 | 3 | 6 | 0 | 15 | 5 | 1 | 0 | 0.00% | 12 | 14.44 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
Team Total or Average | 198 | 40 | 68 | 108 | 43 | 93 | 5 | 254 | 323 | 96 | 224 | 12.38% | 87 | 16.28 | 4 | 6 | 10 | 271 | 0 | 0 | 0 | 287 | 7 | 1 | 54.26% | 868 | 0 | 0 | 0 | 0 | 0.67 | 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 | Jonathan Quick | ![]() | 11 | 7 | 4 | 0 | 0.895 | 2.99 | 622 | 2 | 0 | 31 | 296 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 2 | 0 | 0 |
2 | Darcy Kuemper | ![]() | 2 | 0 | 0 | 0 | 0.926 | 3.16 | 38 | 0 | 0 | 2 | 27 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 13 | 7 | 4 | 0 | 0.898 | 3.00 | 661 | 2 | 0 | 33 | 323 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 2 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 2 | 3 | 0 | 25.0 | 20 | 17 | 13 | 0 | 29.5 | 7.5 | 10.00 | 19.0 | 1.50 | 0.00 | 0.00% | 5.00 | 0.50 | 90.00% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 21.00 | 14.00 | 25.50 | 7.00 | 12.50 | 6.00 | 66.7% | 12.0% | 93.2% | 105.2 | LUCKY |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 1 | 3 | 0 | 32.5 | 20 | 21 | 24 | 0 | 33.5 | 8.5 | 8.00 | 26.5 | 1.50 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 24.00 | 16.00 | 21.50 | 7.00 | 14.00 | 7.00 | 50.0% | 10.8% | 88.1% | 98.8 | FUN |
3 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4.50 | 3.00 | 1.50 | 4 | 1.000 | 4.5 | 7.5 | 12.0 | 0 | 0 | 3 | 3 | 2 | 1 | 24.0 | 13 | 18 | 16 | 1 | 22.5 | 7.0 | 7.50 | 15.5 | 2.00 | 1.50 | 75.00% | 2.50 | 0.00 | 100.00% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 25.00 | 17.50 | 22.00 | 7.00 | 13.50 | 7.00 | 50.0% | 18.8% | 86.7% | 105.4 | FUN |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 0 | 3 | 0 | 31.0 | 9 | 8 | 14 | 0 | 31.0 | 13.0 | 6.00 | 33.0 | 7.00 | 1.00 | 14.29% | 3.00 | 2.00 | 33.33% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 24.00 | 17.00 | 24.00 | 7.00 | 11.00 | 6.00 | 42.9% | 12.9% | 80.6% | 93.5 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.00 | 0.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 3 | 1 | 0 | 35.0 | 22 | 27 | 21 | 0 | 37.0 | 8.5 | 9.00 | 22.0 | 3.50 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.50 | 16.00 | 23.00 | 7.00 | 12.50 | 6.00 | 58.3% | 10.0% | 91.9% | 101.9 | LUCKY |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 1 | 3 | 3 | 0 | 29.5 | 16 | 22 | 21 | 0 | 23.5 | 5.5 | 10.00 | 27.5 | 3.50 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 24.50 | 16.50 | 22.00 | 7.50 | 13.00 | 6.50 | 77.8% | 11.9% | 93.6% | 105.5 | LUCKY |
_Vs Division | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN | |
_Vs Conference | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN | |
_Since Last GM Reset | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN | |
Total | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 346 |
Neutral Zone Start | 175 |
Defensive Zone Start | 347 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 471 |
Faceoffs Lost | 397 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 19.4 | 20.31 |
3rd Period | 29.3 | 30.68 |
Overtime | 29.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 36 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 2 |
Lost | 0 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 31 |
---|---|
PP Goal | 4 |
PK Attempt | 41 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 29.4 |
Shots Against | 29.4 |
Goals For | 3.6 |
Goals Against | 3.0 |
Hits | 23.1 |
Shots Blocked | 7.9 |
Pim | 8.6 |
![]() | |
Total Salaries | 70,233,333$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 1,150,000$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 52 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 19 |
LTIR Players | 0 |
Wolves Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksander Barkov | C | 28 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA |
Anthony Cirelli | C | 26 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |
Cam Fowler | D | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Darcy Kuemper | G | 34 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Erik Brannstrom | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Gabriel Vilardi | C/RW | 24 | 3,437,500$ | 3,437,500$ | 3,437,500$ | 3,437,500$ | RFA | |||||
Jacob Bryson | D | 26 | 1,450,000$ | 1,450,000$ | 1,450,000$ | RFA | ||||||
Jaden Schwartz | LW | 32 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | ||||
Jake Bean | D | 26 | 2,333,333$ | 2,333,333$ | 2,333,333$ | RFA | ||||||
Jeff Petry | D | 36 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||||
Jonathan Quick | G | 38 | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||||
Logan O'Connor | RW | 27 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | |||||
Mathieu Joseph | LW/RW | 27 | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | UFA | ||||
Michael Amadio | C/LW/RW | 28 | 762,500$ | 762,500$ | 762,500$ | UFA | ||||||
Mikael Backlund | C | 35 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Nic Dowd | C/RW | 34 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||||
Noah Dobson | D | 24 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||||
Scott Laughton | C/LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||||
Travis Dermott | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||||
Viktor Arvidsson | LW/RW | 31 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Vladislav Gavrikov | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Beaucage | LW/RW | 22 | 878,333$ | 87,833$ | 87,833$ | RFA | ||||||
Braden Schneider | D | 22 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Connor Hvidston | C/LW/RW | 19 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Dennis Gilbert | D | 27 | 762,500$ | 76,250$ | 76,250$ | UFA | ||||||
Filip Nordberg | D | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Hannibal Weitzmann | G | 28 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Hugo Gabrielson | D | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jack Malone | C/RW | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jayden Grubbe | C | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Jean-Luc Foudy | C | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jiri Patera | G | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Kole Lind | RW | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Lane Pederson | C | 26 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
MacKenzie Entwistle | C/RW | 24 | 800,000$ | 80,000$ | 80,000$ | RFA | ||||||
Marek Alscher | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Mike Sgarbossa | C | 31 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Nathan Gaucher | C | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Nikolai Kovalenko | LW/RW | 24 | 896,250$ | 89,625$ | 89,625$ | 89,625$ | RFA | |||||
Oscar Plandowski | D | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Paul Ludwinski | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Philip Svedeback | G | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Robert Orr | C/RW | 20 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Roman Schmidt | D | 21 | 805,833$ | 80,583$ | 80,583$ | 80,583$ | 80,583$ | RFA | ||||
Stanislav Svozil | D | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Taige Harding | D | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Theodor Niederbach | C/RW | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Ty Dellandrea | C/RW | 23 | 900,000$ | 90,000$ | 90,000$ | RFA | ||||||
Tyler Muszelik | G | 19 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ville Heinola | D | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Wyatt Kaiser | D | 21 | 916,667$ | 91,667$ | 91,667$ | 91,667$ | RFA | |||||
Zion Nybeck | C/LW/RW | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 2 | 3 | 0 | 25.0 | 20 | 17 | 13 | 0 | 29.5 | 7.5 | 10.00 | 19.0 | 1.50 | 0.00 | 0.00% | 5.00 | 0.50 | 90.00% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 21.00 | 14.00 | 25.50 | 7.00 | 12.50 | 6.00 | 66.7% | 12.0% | 93.2% | 105.2 | LUCKY |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 1 | 3 | 0 | 32.5 | 20 | 21 | 24 | 0 | 33.5 | 8.5 | 8.00 | 26.5 | 1.50 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 24.00 | 16.00 | 21.50 | 7.00 | 14.00 | 7.00 | 50.0% | 10.8% | 88.1% | 98.8 | FUN |
3 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4.50 | 3.00 | 1.50 | 4 | 1.000 | 4.5 | 7.5 | 12.0 | 0 | 0 | 3 | 3 | 2 | 1 | 24.0 | 13 | 18 | 16 | 1 | 22.5 | 7.0 | 7.50 | 15.5 | 2.00 | 1.50 | 75.00% | 2.50 | 0.00 | 100.00% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 25.00 | 17.50 | 22.00 | 7.00 | 13.50 | 7.00 | 50.0% | 18.8% | 86.7% | 105.4 | FUN |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 0 | 3 | 0 | 31.0 | 9 | 8 | 14 | 0 | 31.0 | 13.0 | 6.00 | 33.0 | 7.00 | 1.00 | 14.29% | 3.00 | 2.00 | 33.33% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 24.00 | 17.00 | 24.00 | 7.00 | 11.00 | 6.00 | 42.9% | 12.9% | 80.6% | 93.5 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.00 | 0.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 3 | 1 | 0 | 35.0 | 22 | 27 | 21 | 0 | 37.0 | 8.5 | 9.00 | 22.0 | 3.50 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.50 | 16.00 | 23.00 | 7.00 | 12.50 | 6.00 | 58.3% | 10.0% | 91.9% | 101.9 | LUCKY |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 1 | 3 | 3 | 0 | 29.5 | 16 | 22 | 21 | 0 | 23.5 | 5.5 | 10.00 | 27.5 | 3.50 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 24.50 | 16.50 | 22.00 | 7.50 | 13.00 | 6.50 | 77.8% | 11.9% | 93.6% | 105.5 | LUCKY |
_Vs Division | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN | |
_Vs Conference | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN | |
_Since Last GM Reset | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN | |
Total | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 3.64 | 3.00 | 0.64 | 14 | 0.636 | 3.6 | 6.2 | 9.8 | 0 | 0 | 12 | 12 | 15 | 1 | 29.4 | 100 | 113 | 109 | 1 | 29.4 | 7.9 | 8.64 | 23.1 | 2.82 | 0.36 | 12.90% | 3.73 | 0.55 | 85.37% | 0 | 176 | 346 | 50.87% | 194 | 347 | 55.91% | 101 | 175 | 57.71% | 23.91 | 16.27 | 23.09 | 7.27 | 13.00 | 6.64 | 57.1% | 12.4% | 89.8% | 102.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 346 |
Neutral Zone Start | 175 |
Defensive Zone Start | 347 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 471 |
Faceoffs Lost | 397 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 19.4 | 20.31 |
3rd Period | 29.3 | 30.68 |
Overtime | 29.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 36 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 2 |
Lost | 0 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 31 |
---|---|
PP Goal | 4 |
PK Attempt | 41 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 29.4 |
Shots Against | 29.4 |
Goals For | 3.6 |
Goals Against | 3.0 |
Hits | 23.1 |
Shots Blocked | 7.9 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | WOL4,AVG5 | RECAP | |||||||||
4 | ![]() | @ | ![]() | WOL4,MET3 (OT) | RECAP | |||||||||
5 | ![]() | @ | ![]() | AVG1,WOL3 | RECAP | |||||||||
9 | ![]() | @ | ![]() | MAV1,WOL4 | RECAP | |||||||||
12 | ![]() | @ | ![]() | WOL2,MAV3 | RECAP | |||||||||
15 | ![]() | @ | ![]() | STO2,WOL5 | RECAP | |||||||||
16 | ![]() | @ | ![]() | WOL5,TIT2 | RECAP | |||||||||
18 | ![]() | @ | ![]() | WOL4,BUT6 | RECAP | |||||||||
21 | ![]() | @ | ![]() | MET3,WOL5 | RECAP | |||||||||
24 | ![]() | @ | ![]() | WOL2,STO6 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | TIT1,WOL2 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
69,083,333$ | 1,150,000$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Were Center | |
City | Halifax | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 97$ | 58$ | 34$ | 18$ | 195$ |
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 |
69,083,333$ | 69,083,333$ | 0$ | 1,150,000$ |
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$ | 129,600,295$ | 129,600,295$ |
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 |
---|---|---|---|---|---|
Alex Pharand | ![]() | 2023 | 111 | - | Link |
Cam Squires | ![]() | 2023 | 136 | - | Link |
Carson Wetsch | ![]() | 2024 | 107 | 0 | |
Charlie Stramel | ![]() | 2023 | 27 | - | Link |
Christian Kirsch | ![]() | 2024 | 135 | 0 | |
Colton Roberts | ![]() | 2024 | 163 | 0 | |
Ivan Yunin | ![]() | 2024 | 191 | 0 | |
Jiri Felcman | ![]() | 2023 | 104 | - | Link |
Jonathan Castagna | ![]() | 2023 | 83 | - | Link |
Nathan Villeneuve | ![]() | 2024 | 69 | 0 | |
Quentin Miller | ![]() | 2023 | 139 | - | Link |
Roman Kantserov | ![]() | 2023 | 55 | - | Link |
Sacha Boisvert | ![]() | 2024 | 23 | 0 | |
Tanner Howe | ![]() | 2024 | 51 | 0 | |
William Zellers | ![]() | 2024 | 90 | 0 | |
Zach Schulz | ![]() | 2023 | 195 | - | Link |
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 |
---|---|---|---|---|---|
Alex Pharand | ![]() | 2023 | 111 | - | Link |
Cam Squires | ![]() | 2023 | 136 | - | Link |
Carson Wetsch | ![]() | 2024 | 107 | 0 | |
Charlie Stramel | ![]() | 2023 | 27 | - | Link |
Christian Kirsch | ![]() | 2024 | 135 | 0 | |
Colton Roberts | ![]() | 2024 | 163 | 0 | |
Ivan Yunin | ![]() | 2024 | 191 | 0 | |
Jiri Felcman | ![]() | 2023 | 104 | - | Link |
Jonathan Castagna | ![]() | 2023 | 83 | - | Link |
Nathan Villeneuve | ![]() | 2024 | 69 | 0 | |
Quentin Miller | ![]() | 2023 | 139 | - | Link |
Roman Kantserov | ![]() | 2023 | 55 | - | Link |
Sacha Boisvert | ![]() | 2024 | 23 | 0 | |
Tanner Howe | ![]() | 2024 | 51 | 0 | |
William Zellers | ![]() | 2024 | 90 | 0 | |
Zach Schulz | ![]() | 2023 | 195 | - | Link |
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