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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Vancouver Stompers 3-8-0, 6pts · 14th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 77 | 53 | 75 | 87 | 62 | 83 | 85 | 86 | 41 | 81 | 89 | 74 | 35 | 71 | 71 | 86 | 75 | 83 | 27 | 5,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 43 | 84 | 95 | 70 | 76 | 97 | 80 | 42 | 79 | 82 | 60 | 45 | 67 | 70 | 81 | 75 | 76 | 25 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 90 | 66 | 61 | 85 | 72 | 74 | 83 | 77 | 80 | 75 | 80 | 67 | 25 | 72 | 76 | 78 | 75 | 75 | 28 | 4,425,000$/2yrs | |||
![]() | 10 | C/RW | 100.00 | 82 | 45 | 86 | 79 | 74 | 74 | 99 | 81 | 93 | 70 | 71 | 82 | 25 | 75 | 78 | 71 | 75 | 74 | 30 | 2,857,143$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 43 | 82 | 86 | 65 | 72 | 96 | 72 | 44 | 77 | 71 | 71 | 25 | 71 | 72 | 74 | 75 | 73 | 28 | 2,900,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 42 | 91 | 83 | 69 | 70 | 85 | 69 | 47 | 78 | 68 | 69 | 25 | 70 | 70 | 72 | 75 | 71 | 27 | 2,200,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 76 | 44 | 85 | 79 | 77 | 65 | 88 | 72 | 58 | 62 | 71 | 71 | 72 | 85 | 85 | 67 | 75 | 68 | 36 | 1,250,000$/1yrs | |||
![]() | 12 | C | 100.00 | 65 | 43 | 94 | 80 | 82 | 67 | 97 | 75 | 93 | 65 | 70 | 70 | 70 | 76 | 76 | 68 | 75 | 68 | 32 | 3,600,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 79 | 54 | 72 | 89 | 72 | 65 | 92 | 67 | 36 | 68 | 62 | 80 | 25 | 71 | 72 | 65 | 75 | 68 | 28 | 1,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 43 | 91 | 79 | 81 | 70 | 92 | 72 | 42 | 69 | 66 | 59 | 25 | 66 | 68 | 67 | 75 | 66 | 28 | 1,150,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 41 | 88 | 82 | 70 | 62 | 69 | 77 | 27 | 65 | 59 | 60 | 53 | 67 | 67 | 62 | 75 | 62 | 28 | 5,250,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 39 | 99 | 68 | 53 | 56 | 70 | 69 | 34 | 61 | 56 | 63 | 25 | 47 | 47 | 58 | 75 | 59 | 26 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 59 | 76 | 74 | 84 | 76 | 79 | 64 | 25 | 50 | 47 | 95 | 25 | 69 | 72 | 58 | 75 | 73 | 31 | 2,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 79 | 77 | 70 | 69 | 52 | 73 | 25 | 67 | 48 | 69 | 25 | 58 | 59 | 70 | 75 | 70 | 25 | 1,100,000$/2yrs | |||
![]() | 33 | D | 100.00 | 71 | 42 | 85 | 80 | 67 | 65 | 60 | 69 | 25 | 62 | 47 | 71 | 80 | 88 | 89 | 66 | 75 | 68 | 38 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 42 | 87 | 82 | 68 | 69 | 85 | 61 | 25 | 53 | 48 | 79 | 25 | 66 | 67 | 57 | 75 | 66 | 26 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 91 | 81 | 75 | 75 | 81 | 62 | 25 | 45 | 48 | 80 | 25 | 46 | 46 | 54 | 75 | 65 | 21 | 894,167$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 88 | 81 | 67 | 71 | 58 | 61 | 25 | 51 | 50 | 75 | 25 | 47 | 47 | 56 | 75 | 64 | 27 | 2,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 73 | 67 | 84 | 62 | 67 | 76 | 81 | 51 | 36 | 45 | 53 | 57 | 49 | 38 | 38 | 50 | 75 | 54 | 21 | 500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 63 | 87 | 65 | 62 | 67 | 72 | 51 | 25 | 45 | 42 | 51 | 40 | 35 | 35 | 56 | 75 | 55 | 22 | 525,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 73 | 48 | 84 | 80 | 70 | 70 | 81 | 69 | 42 | 63 | 61 | 70 | 37 | 64 | 65 | 66 | 75 | 68 |
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 | 83 | 71 | 70 | 80 | 83 | 83 | 82 | 84 | 86 | 83 | 95 | 63 | 64 | 89 | 75 | 84 | 28 | 5,000,000$/3yrs |
![]() | 0 | 100.00 | 74 | 75 | 72 | 81 | 73 | 75 | 87 | 74 | 81 | 74 | 75 | 52 | 53 | 84 | 75 | 81 | 25 | 2,000,000$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 65 | 56 | 55 | 67 | 73 | 56 | 69 | 65 | 65 | 64 | 75 | 46 | 46 | 74 | 75 | 69 | 22 | 925,000$/2yrs |
TEAM AVERAGE | 100.00 | 74 | 67 | 66 | 76 | 76 | 71 | 79 | 74 | 77 | 74 | 82 | 54 | 54 | 82 | 75 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | UHL (Stamm) |
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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 | Sam Bennett | ![]() | 0 | C/LW | 11 | 3 | 9 | 12 | 3 | 22 | 10 | 25 | 24 | 4 | 18 | 12.50% | 1 | 17.31 | 0 | 4 | 4 | 1 | 2 | 3 | 33 | 0 | 0 | 53.45% | 290 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 |
2 | Travis Konecny | ![]() | 0 | LW/RW | 11 | 6 | 5 | 11 | 2 | 2 | 0 | 13 | 58 | 11 | 34 | 10.34% | 2 | 24.99 | 0 | 2 | 2 | 2 | 1 | 3 | 37 | 1 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
3 | Jakub Vrana | ![]() | 0 | LW/RW | 11 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 15 | 4 | 13 | 13.33% | 0 | 16.31 | 1 | 2 | 3 | 0 | 0 | 0 | 16 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 |
4 | Jack Roslovic | ![]() | 0 | C/RW | 11 | 0 | 6 | 6 | -4 | 0 | 0 | 7 | 23 | 5 | 14 | 0.00% | 1 | 18.43 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 18 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 |
5 | Scott Mayfield | ![]() | 0 | D | 11 | 0 | 4 | 4 | -7 | 18 | 0 | 42 | 12 | 5 | 8 | 0.00% | 19 | 23.53 | 0 | 1 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 |
6 | Pierre Engvall | ![]() | 0 | LW/RW | 11 | 2 | 2 | 4 | -4 | 2 | 0 | 5 | 18 | 3 | 7 | 11.11% | 0 | 15.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
7 | Dante Fabbro | ![]() | 0 | D | 11 | 1 | 3 | 4 | -2 | 2 | 0 | 9 | 15 | 2 | 3 | 6.67% | 15 | 22.53 | 1 | 0 | 1 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
8 | Conor Timmins | ![]() | 0 | D | 11 | 2 | 2 | 4 | 3 | 4 | 0 | 28 | 7 | 0 | 4 | 28.57% | 10 | 19.08 | 1 | 0 | 1 | 0 | 1 | 1 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
9 | Andrew Mangiapane | ![]() | 0 | C/LW/RW | 11 | 3 | 0 | 3 | -5 | 8 | 0 | 25 | 17 | 6 | 12 | 17.65% | 2 | 17.86 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 1 | 0 | 30.84% | 214 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 |
10 | Martin Necas | ![]() | 0 | C/RW | 11 | 2 | 1 | 3 | -7 | 6 | 0 | 18 | 17 | 4 | 15 | 11.76% | 1 | 16.20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 29.79% | 47 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 |
11 | Alex Goligoski | ![]() | 33 | D | 11 | 1 | 1 | 2 | -6 | 4 | 0 | 23 | 6 | 5 | 10 | 16.67% | 17 | 19.37 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
12 | Kevin Hayes | ![]() | 12 | C | 11 | 1 | 1 | 2 | -7 | 0 | 0 | 3 | 8 | 8 | 11 | 12.50% | 1 | 14.38 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 70.00% | 10 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
13 | Simon Edvinsson | ![]() | 0 | D | 11 | 1 | 1 | 2 | -2 | 4 | 0 | 16 | 10 | 0 | 2 | 10.00% | 11 | 18.94 | 1 | 0 | 1 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
14 | Oliver Kylington | ![]() | 0 | D | 11 | 0 | 2 | 2 | -6 | 2 | 0 | 11 | 4 | 2 | 2 | 0.00% | 11 | 16.33 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 |
15 | Miles Wood | ![]() | 0 | LW | 11 | 1 | 1 | 2 | -7 | 4 | 0 | 24 | 17 | 2 | 11 | 5.88% | 1 | 13.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32.02% | 178 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
16 | Kyle Okposo | ![]() | 0 | C/RW | 11 | 0 | 1 | 1 | -2 | 2 | 0 | 4 | 10 | 2 | 4 | 0.00% | 1 | 9.11 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 45.45% | 121 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
17 | Colton Sissons | ![]() | 10 | C/RW | 11 | 1 | 0 | 1 | -2 | 0 | 0 | 15 | 17 | 2 | 16 | 5.88% | 2 | 10.20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
18 | Matthew Phillips | ![]() | 0 | RW | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 26 | 43 | 69 | -53 | 80 | 10 | 268 | 278 | 65 | 184 | 9.35% | 95 | 16.34 | 6 | 11 | 17 | 337 | 3 | 4 | 7 | 237 | 3 | 1 | 40.82% | 926 | 0 | 0 | 0 | 0 | 0.43 | 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 | Thatcher Demko | ![]() | 11 | 3 | 8 | 0 | 0.903 | 3.14 | 631 | 0 | 1 | 33 | 341 | 0 | 1 | 0 | 0.000 | 0 | 11 | 0 | 1 | 0 | 0 |
2 | Pyotr Kochetkov | ![]() | 1 | 0 | 0 | 0 | 0.950 | 2.40 | 25 | 0 | 0 | 1 | 20 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 12 | 3 | 8 | 0 | 0.906 | 3.11 | 657 | 0 | 1 | 34 | 361 | 0 | 1 | 0 | 0.000 | 0 | 11 | 11 | 1 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 2 | 5 | 1 | 0 | 33.5 | 9 | 31 | 27 | 0 | 32.5 | 7.0 | 3.00 | 27.5 | 4.00 | 0.50 | 12.50% | 1.50 | 0.00 | 100.00% | 0 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.50 | 14.00 | 24.00 | 8.00 | 14.00 | 6.50 | 50.0% | 11.9% | 89.2% | 101.2 | FUN |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.50 | 0.50 | 2 | 0.500 | 2.0 | 3.0 | 5.0 | 0 | 1 | 2 | 1 | 1 | 0 | 21.0 | 13 | 14 | 15 | 0 | 27.0 | 7.0 | 8.00 | 22.0 | 5.00 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 1 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.50 | 13.50 | 24.50 | 8.00 | 13.50 | 6.00 | 66.7% | 9.5% | 94.4% | 104.0 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.00 | 3.00 | -3.00 | 0 | 0.000 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.0 | 4 | 5 | 7 | 0 | 35.0 | 14.0 | 11.00 | 17.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 20.00 | 13.00 | 27.00 | 7.00 | 12.00 | 5.00 | 0.0% | 0.0% | 91.4% | 91.4 | DULL |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.50 | -2.50 | 0 | 0.000 | 3.0 | 5.5 | 8.5 | 0 | 0 | 2 | 1 | 3 | 0 | 40.0 | 26 | 27 | 27 | 0 | 43.0 | 8.5 | 8.50 | 29.0 | 3.00 | 1.00 | 33.33% | 2.00 | 1.00 | 50.00% | 0 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 22.50 | 15.00 | 24.50 | 7.50 | 12.50 | 5.50 | 30.8% | 7.5% | 87.2% | 94.7 | Unlucky |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.50 | -1.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 1 | 1 | 1 | 0 | 20.0 | 18 | 12 | 10 | 0 | 34.0 | 9.0 | 9.00 | 21.5 | 3.50 | 1.00 | 28.57% | 4.50 | 0.50 | 88.89% | 1 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 19.00 | 12.00 | 28.00 | 8.50 | 12.50 | 5.50 | 20.0% | 7.5% | 92.6% | 100.1 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 3.0 | 5.5 | 0 | 0 | 2 | 1 | 2 | 0 | 16.5 | 12 | 12 | 9 | 0 | 26.5 | 9.0 | 6.00 | 25.5 | 2.00 | 0.50 | 25.00% | 2.50 | 0.00 | 100.00% | 1 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 20.50 | 13.50 | 26.00 | 7.00 | 12.50 | 6.00 | 44.4% | 15.2% | 90.6% | 105.7 | FUN |
_Vs Division | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN | |
_Vs Conference | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN | |
_Since Last GM Reset | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN | |
Total | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 13 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 347 |
Neutral Zone Start | 158 |
Defensive Zone Start | 421 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 378 |
Faceoffs Lost | 548 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.5 | 9.57 |
2nd Period | 16.6 | 20.31 |
3rd Period | 25.3 | 30.68 |
Overtime | 25.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 17 |
---|---|
PP Goal | 6 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 3 | 5 |
Overtime Lost | 0 | 0 |
PP Attempt | 37 |
---|---|
PP Goal | 6 |
PK Attempt | 32 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 25.3 |
Shots Against | 32.8 |
Goals For | 2.4 |
Goals Against | 3.1 |
Hits | 24.4 |
Shots Blocked | 8.6 |
Pim | 7.3 |
![]() | |
Total Salaries | 57,176,310$ |
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) | 45 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Stompers 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 Goligoski | D | 38 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||||
Andrew Mangiapane | C/LW/RW | 28 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||
Colton Sissons | C/RW | 30 | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | ||||
Conor Timmins | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Dante Fabbro | D | 26 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | ||||||
Devon Levi | G | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Domenick Fensore | D | 22 | 525,000$ | 525,000$ | 525,000$ | RFA | ||||||
Jack Roslovic | C/RW | 27 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | ||||
Jakub Vrana | LW/RW | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||||
Kevin Hayes | C | 32 | 3,600,000$ | 3,600,000$ | 3,600,000$ | UFA | ||||||
Kyle Okposo | C/RW | 36 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||||
Martin Necas | C/RW | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | ||||||
Matthew Phillips | RW | 26 | 775,000$ | 775,000$ | 775,000$ | RFA | ||||||
Matvei Petrov | LW/RW | 21 | 500,000$ | 500,000$ | 500,000$ | RFA | ||||||
Miles Wood | LW | 28 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||||
Oliver Kylington | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||||
Pierre Engvall | LW/RW | 28 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | |||
Pyotr Kochetkov | G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Sam Bennett | C/LW | 28 | 4,425,000$ | 4,425,000$ | 4,425,000$ | 4,425,000$ | UFA | |||||
Scott Mayfield | D | 31 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Simon Edvinsson | D | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Thatcher Demko | G | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Travis Konecny | LW/RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Texier | C/LW | 24 | 1,525,000$ | 1,525,000$ | 1,525,000$ | RFA | ||||||
Cale Fleury | D | 25 | 800,000$ | 80,000$ | 80,000$ | 80,000$ | RFA | |||||
Carter Savoie | LW | 22 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Colten Ellis | G | 23 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Conner Roulette | C/LW | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Daniil Misyul | D | 23 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | RFA | |||||
Daniil Pylenkov | D | 23 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Graham Sward | D | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Jackson Dorrington | D | 20 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jake Martin | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jamie Drysdale | D | 22 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | RFA | ||||
Kirill Kirsanov | D | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Lorenzo Canonica | C | 20 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Matthew Poitras | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Otto Koivula | C/LW | 25 | 800,000$ | 80,000$ | 80,000$ | RFA | ||||||
Ronan Seeley | D | 21 | 810,000$ | 81,000$ | 81,000$ | 81,000$ | RFA | |||||
Sean Tschigerl | LW | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Sebastian Cossa | G | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Thomas Milic | G | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Tristen Robins | C | 22 | 797,500$ | 79,750$ | 79,750$ | 79,750$ | RFA | |||||
Ty Emberson | D | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Ville Koivunen | C/LW/RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 2 | 5 | 1 | 0 | 33.5 | 9 | 31 | 27 | 0 | 32.5 | 7.0 | 3.00 | 27.5 | 4.00 | 0.50 | 12.50% | 1.50 | 0.00 | 100.00% | 0 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.50 | 14.00 | 24.00 | 8.00 | 14.00 | 6.50 | 50.0% | 11.9% | 89.2% | 101.2 | FUN |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.50 | 0.50 | 2 | 0.500 | 2.0 | 3.0 | 5.0 | 0 | 1 | 2 | 1 | 1 | 0 | 21.0 | 13 | 14 | 15 | 0 | 27.0 | 7.0 | 8.00 | 22.0 | 5.00 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 1 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.50 | 13.50 | 24.50 | 8.00 | 13.50 | 6.00 | 66.7% | 9.5% | 94.4% | 104.0 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.00 | 3.00 | -3.00 | 0 | 0.000 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.0 | 4 | 5 | 7 | 0 | 35.0 | 14.0 | 11.00 | 17.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 20.00 | 13.00 | 27.00 | 7.00 | 12.00 | 5.00 | 0.0% | 0.0% | 91.4% | 91.4 | DULL |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.50 | -2.50 | 0 | 0.000 | 3.0 | 5.5 | 8.5 | 0 | 0 | 2 | 1 | 3 | 0 | 40.0 | 26 | 27 | 27 | 0 | 43.0 | 8.5 | 8.50 | 29.0 | 3.00 | 1.00 | 33.33% | 2.00 | 1.00 | 50.00% | 0 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 22.50 | 15.00 | 24.50 | 7.50 | 12.50 | 5.50 | 30.8% | 7.5% | 87.2% | 94.7 | Unlucky |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.50 | -1.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 1 | 1 | 1 | 0 | 20.0 | 18 | 12 | 10 | 0 | 34.0 | 9.0 | 9.00 | 21.5 | 3.50 | 1.00 | 28.57% | 4.50 | 0.50 | 88.89% | 1 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 19.00 | 12.00 | 28.00 | 8.50 | 12.50 | 5.50 | 20.0% | 7.5% | 92.6% | 100.1 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 3.0 | 5.5 | 0 | 0 | 2 | 1 | 2 | 0 | 16.5 | 12 | 12 | 9 | 0 | 26.5 | 9.0 | 6.00 | 25.5 | 2.00 | 0.50 | 25.00% | 2.50 | 0.00 | 100.00% | 1 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 20.50 | 13.50 | 26.00 | 7.00 | 12.50 | 6.00 | 44.4% | 15.2% | 90.6% | 105.7 | FUN |
_Vs Division | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN | |
_Vs Conference | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN | |
_Since Last GM Reset | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN | |
Total | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 2.36 | 3.09 | -0.73 | 6 | 0.273 | 2.4 | 3.9 | 6.3 | 0 | 1 | 9 | 9 | 8 | 0 | 25.3 | 82 | 101 | 95 | 0 | 32.8 | 8.6 | 7.27 | 24.4 | 3.36 | 0.55 | 16.22% | 2.91 | 0.36 | 87.50% | 3 | 135 | 347 | 38.90% | 180 | 421 | 42.76% | 63 | 158 | 39.87% | 21.09 | 13.82 | 25.82 | 7.91 | 13.00 | 6.09 | 40.0% | 9.4% | 90.6% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 13 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 347 |
Neutral Zone Start | 158 |
Defensive Zone Start | 421 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 378 |
Faceoffs Lost | 548 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.5 | 9.57 |
2nd Period | 16.6 | 20.31 |
3rd Period | 25.3 | 30.68 |
Overtime | 25.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 17 |
---|---|
PP Goal | 6 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 3 | 5 |
Overtime Lost | 0 | 0 |
PP Attempt | 37 |
---|---|
PP Goal | 6 |
PK Attempt | 32 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 25.3 |
Shots Against | 32.8 |
Goals For | 2.4 |
Goals Against | 3.1 |
Hits | 24.4 |
Shots Blocked | 8.6 |
Pim | 7.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | BUT6,STO4 | RECAP | |||||||||
5 | ![]() | @ | ![]() | STO2,BUT5 | RECAP | |||||||||
7 | ![]() | @ | ![]() | AVG3,STO2 | RECAP | |||||||||
9 | ![]() | @ | ![]() | STO1,AVG2 | RECAP | |||||||||
13 | ![]() | @ | ![]() | TIT2,STO4 | RECAP | |||||||||
15 | ![]() | @ | ![]() | STO2,WOL5 | RECAP | |||||||||
19 | ![]() | @ | ![]() | STO0,MET3 | RECAP | |||||||||
20 | ![]() | @ | ![]() | MAV3,STO2 | RECAP | |||||||||
24 | ![]() | @ | ![]() | WOL2,STO6 | RECAP | |||||||||
25 | ![]() | @ | ![]() | STO1,TIT3 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
28 | ![]() | @ | ![]() | STO2,MAV0 | RECAP | |||||||||
31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
57,176,310$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Vancouver | ||
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 |
57,176,310$ | 57,176,310$ | 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$ | 123,605,014$ | 123,605,014$ |
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 |
---|---|---|---|---|---|
Andrew Strathmann | ![]() | 2023 | 109 | - | Link |
Carter Yakemchuk | ![]() | 2024 | 6 | 0 | |
Eduard Sale | ![]() | 2023 | 25 | - | Link |
Eemil Vinni | ![]() | 2024 | 83 | 0 | |
Elliott Groenewold | ![]() | 2024 | 144 | 0 | |
Felix Nilsson | ![]() | 2023 | 53 | - | Link |
Gabe Smith | ![]() | 2024 | 130 | 0 | |
Jesse Kiiskinen | ![]() | 2023 | 81 | - | Link |
Julius Miettinen | ![]() | 2024 | 60 | 0 | |
Kaden Hammell | ![]() | 2023 | 165 | - | Link |
Kasper Pikkarainen | ![]() | 2024 | 116 | 0 | |
Marek Vanacker | ![]() | 2024 | 32 | 0 | |
Noel Fransen | ![]() | 2024 | 88 | 0 | |
Sean Keohane | ![]() | 2023 | 193 | - | Link |
Stanislav Yarovoy | ![]() | 2023 | 137 | - | 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 |
---|---|---|---|---|---|
Andrew Strathmann | ![]() | 2023 | 109 | - | Link |
Carter Yakemchuk | ![]() | 2024 | 6 | 0 | |
Eduard Sale | ![]() | 2023 | 25 | - | Link |
Eemil Vinni | ![]() | 2024 | 83 | 0 | |
Elliott Groenewold | ![]() | 2024 | 144 | 0 | |
Felix Nilsson | ![]() | 2023 | 53 | - | Link |
Gabe Smith | ![]() | 2024 | 130 | 0 | |
Jesse Kiiskinen | ![]() | 2023 | 81 | - | Link |
Julius Miettinen | ![]() | 2024 | 60 | 0 | |
Kaden Hammell | ![]() | 2023 | 165 | - | Link |
Kasper Pikkarainen | ![]() | 2024 | 116 | 0 | |
Marek Vanacker | ![]() | 2024 | 32 | 0 | |
Noel Fransen | ![]() | 2024 | 88 | 0 | |
Sean Keohane | ![]() | 2023 | 193 | - | Link |
Stanislav Yarovoy | ![]() | 2023 | 137 | - | Link |
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