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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Tilburg Trappers 6-5-0, 12pts · 8th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 76 | 44 | 82 | 81 | 77 | 81 | 97 | 92 | 38 | 74 | 97 | 61 | 25 | 71 | 74 | 87 | 75 | 81 | 32 | 6,900,000$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 43 | 89 | 82 | 79 | 78 | 99 | 86 | 76 | 80 | 88 | 66 | 46 | 81 | 85 | 85 | 75 | 80 | 32 | 6,800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 86 | 46 | 85 | 82 | 76 | 84 | 80 | 85 | 96 | 67 | 87 | 78 | 70 | 78 | 78 | 78 | 75 | 79 | 31 | 2,600,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 41 | 93 | 87 | 61 | 81 | 81 | 96 | 38 | 81 | 85 | 59 | 83 | 63 | 64 | 83 | 75 | 78 | 23 | 7,850,000$/8yrs | |||
![]() | 23 | C | 100.00 | 82 | 45 | 86 | 80 | 72 | 76 | 52 | 89 | 90 | 73 | 83 | 69 | 70 | 61 | 61 | 79 | 75 | 77 | 25 | 6,200,000$/4yrs | |||
![]() | 0 | C | 100.00 | 75 | 44 | 89 | 83 | 76 | 78 | 79 | 82 | 87 | 81 | 73 | 69 | 25 | 59 | 59 | 76 | 75 | 75 | 23 | 775,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 51 | 89 | 80 | 69 | 73 | 97 | 79 | 31 | 72 | 85 | 62 | 25 | 60 | 60 | 79 | 75 | 75 | 22 | 855,834$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 57 | 81 | 81 | 77 | 69 | 92 | 72 | 38 | 79 | 78 | 66 | 25 | 64 | 66 | 78 | 75 | 75 | 29 | 3,800,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 41 | 90 | 86 | 67 | 61 | 88 | 80 | 56 | 76 | 75 | 62 | 63 | 69 | 70 | 75 | 75 | 71 | 27 | 2,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 75 | 70 | 80 | 74 | 72 | 98 | 82 | 66 | 79 | 66 | 65 | 47 | 77 | 78 | 72 | 75 | 71 | 30 | 2,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 76 | 57 | 91 | 80 | 76 | 62 | 98 | 66 | 37 | 63 | 70 | 79 | 63 | 73 | 74 | 67 | 75 | 69 | 31 | 1,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 42 | 98 | 85 | 73 | 67 | 79 | 70 | 33 | 71 | 66 | 69 | 25 | 65 | 66 | 68 | 75 | 68 | 29 | 3,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 81 | 44 | 80 | 86 | 68 | 88 | 90 | 97 | 25 | 68 | 53 | 73 | 75 | 72 | 75 | 84 | 75 | 81 | 30 | 3,500,000$/4yrs | |||
![]() | 25 | D | 100.00 | 86 | 56 | 73 | 87 | 83 | 84 | 99 | 71 | 25 | 61 | 53 | 87 | 63 | 75 | 77 | 66 | 75 | 75 | 29 | 4,800,000$/5yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 74 | 83 | 75 | 75 | 84 | 76 | 25 | 63 | 51 | 75 | 48 | 83 | 83 | 70 | 75 | 72 | 32 | 4,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 93 | 90 | 69 | 80 | 82 | 74 | 69 | 65 | 25 | 56 | 51 | 90 | 25 | 72 | 74 | 61 | 75 | 72 | 32 | 4,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 54 | 79 | 87 | 70 | 80 | 75 | 69 | 25 | 59 | 58 | 77 | 25 | 60 | 62 | 64 | 75 | 70 | 23 | 3,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 89 | 96 | 56 | 80 | 92 | 72 | 96 | 63 | 25 | 54 | 49 | 80 | 25 | 73 | 74 | 59 | 75 | 68 | 29 | 2,800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 82 | 57 | 88 | 75 | 61 | 59 | 95 | 65 | 64 | 60 | 68 | 82 | 25 | 62 | 63 | 65 | 75 | 68 | 25 | 800,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 52 | 86 | 77 | 61 | 59 | 90 | 66 | 34 | 60 | 79 | 63 | 25 | 56 | 56 | 71 | 75 | 68 | 28 | 1,400,000$/3yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 89 | 82 | 70 | 76 | 84 | 64 | 25 | 57 | 48 | 76 | 25 | 67 | 67 | 61 | 75 | 68 | 25 | 2,500,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 76 | 53 | 83 | 82 | 73 | 74 | 87 | 77 | 46 | 68 | 70 | 72 | 43 | 69 | 70 | 73 | 75 | 73 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 76 | 70 | 68 | 69 | 75 | 77 | 76 | 77 | 81 | 76 | 81 | 57 | 57 | 83 | 75 | 79 | 30 | 3,000,000$/4yrs |
![]() | 0 | 100.00 | 64 | 64 | 65 | 83 | 65 | 62 | 75 | 65 | 73 | 64 | 78 | 71 | 72 | 77 | 75 | 74 | 36 | 450,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 67 | 67 | 76 | 70 | 70 | 76 | 71 | 77 | 70 | 80 | 64 | 65 | 80 | 75 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Joeri Loonen |
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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 | Brandon Montour | ![]() | 0 | D | 11 | 0 | 12 | 12 | 4 | 8 | 0 | 19 | 24 | 6 | 9 | 0.00% | 11 | 25.84 | 0 | 2 | 2 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 |
2 | Cole Caufield | ![]() | 0 | LW/RW | 11 | 3 | 6 | 9 | 3 | 0 | 0 | 10 | 38 | 12 | 23 | 7.89% | 1 | 19.20 | 0 | 4 | 4 | 0 | 0 | 0 | 23 | 0 | 0 | 47.06% | 17 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 |
3 | Zach Hyman | ![]() | 0 | C/LW/RW | 11 | 4 | 5 | 9 | 3 | 12 | 0 | 32 | 37 | 11 | 33 | 10.81% | 6 | 21.58 | 1 | 2 | 3 | 0 | 0 | 0 | 47 | 0 | 0 | 29.05% | 148 | 0 | 0 | 0 | 0 | 0.76 | 1 | 1 |
4 | JJ Peterka | ![]() | 0 | C/LW/RW | 9 | 3 | 5 | 8 | 6 | 0 | 0 | 2 | 16 | 6 | 20 | 18.75% | 0 | 16.67 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 |
5 | Boone Jenner | ![]() | 0 | C | 11 | 5 | 2 | 7 | 8 | 10 | 0 | 25 | 29 | 6 | 15 | 17.24% | 2 | 15.18 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 56.00% | 200 | 0 | 0 | 0 | 0 | 0.84 | 1 | 1 |
6 | Darnell Nurse | ![]() | 25 | D | 11 | 3 | 4 | 7 | 7 | 12 | 0 | 39 | 15 | 4 | 7 | 20.00% | 16 | 23.20 | 2 | 1 | 3 | 0 | 0 | 0 | 33 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
7 | Mason Marchment | ![]() | 0 | C/LW | 11 | 4 | 2 | 6 | 6 | 32 | 10 | 8 | 27 | 5 | 14 | 14.81% | 0 | 13.66 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
8 | Bowen Byram | ![]() | 0 | D | 11 | 0 | 5 | 5 | 4 | 0 | 0 | 5 | 7 | 0 | 5 | 0.00% | 8 | 15.43 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 |
9 | Brock Nelson | ![]() | 0 | C | 11 | 3 | 2 | 5 | 3 | 0 | 0 | 7 | 31 | 9 | 26 | 9.68% | 2 | 21.36 | 2 | 1 | 3 | 0 | 0 | 0 | 51 | 1 | 0 | 52.71% | 277 | 0 | 0 | 0 | 0 | 0.43 | 0 | 1 |
10 | Daniel Sprong | ![]() | 0 | LW/RW | 11 | 1 | 4 | 5 | 0 | 2 | 0 | 3 | 15 | 5 | 17 | 6.67% | 0 | 12.10 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
11 | Josh Norris | ![]() | 23 | C | 11 | 4 | 1 | 5 | 0 | 8 | 0 | 15 | 24 | 2 | 17 | 16.67% | 1 | 10.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59.31% | 145 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 |
12 | Oliver Ekman Larsson | ![]() | 0 | D | 11 | 0 | 4 | 4 | 3 | 12 | 0 | 6 | 8 | 1 | 6 | 0.00% | 12 | 19.03 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
13 | Jimmy Vesey | ![]() | 0 | LW | 11 | 2 | 2 | 4 | 2 | 0 | 0 | 6 | 12 | 5 | 7 | 16.67% | 3 | 9.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
14 | Shane Pinto | ![]() | 0 | C | 11 | 1 | 2 | 3 | -1 | 2 | 0 | 14 | 19 | 4 | 16 | 5.26% | 0 | 13.13 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 51.45% | 138 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
15 | Ryan Strome | ![]() | 0 | C/RW | 11 | 2 | 1 | 3 | 2 | 8 | 0 | 15 | 20 | 7 | 9 | 10.00% | 1 | 11.07 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
16 | Ilya Mikheyev | ![]() | 0 | LW/RW | 11 | 1 | 2 | 3 | 0 | 0 | 0 | 2 | 14 | 3 | 7 | 7.14% | 0 | 10.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
17 | Josh Manson | ![]() | 0 | D | 11 | 0 | 2 | 2 | 2 | 31 | 15 | 46 | 4 | 2 | 5 | 0.00% | 23 | 19.25 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
18 | Nikita Zadorov | ![]() | 0 | D | 11 | 0 | 2 | 2 | 3 | 27 | 5 | 49 | 6 | 6 | 3 | 0.00% | 15 | 16.68 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 |
19 | Michael Carcone | ![]() | 0 | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 8.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 36 | 63 | 99 | 55 | 164 | 30 | 303 | 346 | 94 | 240 | 10.40% | 101 | 16.27 | 6 | 12 | 18 | 311 | 0 | 0 | 0 | 336 | 5 | 0 | 49.65% | 987 | 0 | 0 | 0 | 0 | 0.61 | 2 | 3 |
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 | Charlie Lindgren | ![]() | 11 | 6 | 5 | 0 | 0.903 | 3.44 | 646 | 2 | 0 | 37 | 381 | 0 | 0 | 0 | 0.667 | 3 | 11 | 0 | 1 | 0 | 0 |
2 | James Reimer | ![]() | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 18 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 12 | 6 | 5 | 0 | 0.904 | 3.34 | 665 | 2 | 0 | 37 | 387 | 0 | 0 | 0 | 0.667 | 3 | 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 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 1 | 4 | 2 | 0 | 37.0 | 23 | 27 | 24 | 0 | 35.5 | 8.5 | 10.50 | 27.0 | 4.00 | 1.50 | 37.50% | 3.50 | 1.50 | 57.14% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.00 | 16.00 | 24.00 | 7.00 | 12.50 | 6.00 | 50.0% | 9.5% | 90.1% | 99.6 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 1 | 1 | 0 | 37.0 | 21 | 6 | 10 | 0 | 41.0 | 12.0 | 12.00 | 18.0 | 5.00 | 1.00 | 20.00% | 6.00 | 0.00 | 100.00% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 21.00 | 14.00 | 27.00 | 7.00 | 11.00 | 5.00 | 66.7% | 8.1% | 97.6% | 105.7 | DULL |
3 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5.00 | 3.00 | 2.00 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 5 | 3 | 1 | 2 | 41.0 | 22 | 27 | 26 | 10 | 41.5 | 9.0 | 5.00 | 33.0 | 4.50 | 0.00 | 0.00% | 2.50 | 1.00 | 60.00% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 25.00 | 17.50 | 23.50 | 7.50 | 13.00 | 6.50 | 71.4% | 12.2% | 92.8% | 105.0 | LUCKY |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.00 | -3.50 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 1 | 2 | 0 | 0 | 21.0 | 14 | 17 | 11 | 0 | 31.0 | 10.0 | 25.00 | 24.5 | 3.50 | 0.50 | 14.29% | 7.00 | 3.00 | 57.14% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 22.00 | 14.00 | 24.50 | 7.00 | 12.50 | 6.00 | 33.3% | 7.1% | 83.9% | 91.0 | Unlucky |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.50 | 5.00 | -1.50 | 0 | 0.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 2 | 2 | 0 | 26.5 | 21 | 16 | 16 | 0 | 39.0 | 11.5 | 13.00 | 32.5 | 2.50 | 0.00 | 0.00% | 6.50 | 2.00 | 69.23% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.00 | 15.00 | 24.00 | 6.50 | 12.50 | 6.00 | 53.8% | 13.2% | 87.2% | 100.4 | FUN |
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 | 3 | 1 | 3 | 0 | 29.0 | 15 | 20 | 23 | 0 | 26.0 | 5.5 | 23.50 | 25.5 | 2.00 | 0.50 | 25.00% | 5.50 | 1.50 | 72.73% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.50 | 16.50 | 23.50 | 7.00 | 12.00 | 6.00 | 100.0% | 12.1% | 94.2% | 106.3 | LUCKY |
_Vs Division | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN | |
_Vs Conference | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN | |
_Since Last GM Reset | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN | |
Total | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 378 |
Neutral Zone Start | 184 |
Defensive Zone Start | 415 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 490 |
Faceoffs Lost | 487 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 31 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 3 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 38 |
---|---|
PP Goal | 6 |
PK Attempt | 56 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 35.2 |
Goals For | 3.4 |
Goals Against | 3.4 |
Hits | 27.5 |
Shots Blocked | 9.2 |
Pim | 15.1 |
![]() | |
Total Salaries | 76,730,834$ |
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) | 55 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Trappers Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Boone Jenner | C | 31 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | ||||
Bowen Byram | D | 23 | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | RFA | |||||
Brandon Montour | D | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Brock Nelson | C | 32 | 6,800,000$ | 6,800,000$ | 6,800,000$ | 6,800,000$ | UFA | |||||
Charlie Lindgren | G | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Cole Caufield | LW/RW | 23 | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | |
Connor Dewar | C | 25 | 800,000$ | 800,000$ | 800,000$ | RFA | ||||||
Daniel Sprong | LW/RW | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||||
Darnell Nurse | D | 29 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | ||
Henri Jokiharju | D | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | ||||||
Ilya Mikheyev | LW/RW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
JJ Peterka | C/LW/RW | 22 | 855,834$ | 855,834$ | 855,834$ | 855,834$ | RFA | |||||
James Reimer | G | 36 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Jimmy Vesey | LW | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Josh Manson | D | 32 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | |||||
Josh Norris | C | 25 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | |||
Mason Marchment | C/LW | 29 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |||
Michael Carcone | C/LW/RW | 28 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | ||||
Nikita Zadorov | D | 29 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Oliver Ekman Larsson | D | 32 | 4,200,000$ | 4,200,000$ | 4,200,000$ | UFA | ||||||
Ryan Strome | C/RW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Shane Pinto | C | 23 | 775,000$ | 775,000$ | 775,000$ | RFA | ||||||
Zach Hyman | C/LW/RW | 32 | 6,900,000$ | 6,900,000$ | 6,900,000$ | 6,900,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Albert Johansson | D | 23 | 820,000$ | 82,000$ | 82,000$ | RFA | ||||||
Alex Barre-Boulet | C/LW/RW | 27 | 758,333$ | 75,833$ | 75,833$ | UFA | ||||||
Alexis Gendron | C/RW | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Ayrton Martino | LW | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Brandt Clarke | D | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Brendan Brisson | LW/RW | 22 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA | |||||
Caedan Bankier | C | 21 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | 86,750$ | RFA | ||||
Cruz Lucius | RW | 20 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Danila Yurov | C/RW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Dyllan Gill | D | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Emil Andrae | D | 22 | 903,333$ | 90,333$ | 90,333$ | 90,333$ | 90,333$ | RFA | ||||
Emil Larmi | G | 27 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Ivan Prosvetov | G | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Jeremie Poirier | D | 22 | 823,333$ | 82,333$ | 82,333$ | 82,333$ | RFA | |||||
Jerry Turkulainen | RW | 25 | 850,000$ | 85,000$ | 85,000$ | RFA | ||||||
John Beecher | C/LW | 23 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA | |||||
Josef Korenar | G | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Julian Lutz | LW | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Justin Sourdif | C/RW | 22 | 847,500$ | 84,750$ | 84,750$ | 84,750$ | RFA | |||||
Kenny Connors | C | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Liam Dower-Nilsson | C/LW/RW | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Liam Foudy | C/RW | 24 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Logan Stankoven | C/RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Marc Del Gaizo | D | 24 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Mattias Norlinder | D | 24 | 859,167$ | 85,917$ | 85,917$ | RFA | ||||||
Nicholas Moldenhauer | C/RW | 20 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Nikita Chibrikov | LW/RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Sasha Pastujov | LW/RW | 20 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Seamus Casey | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Semyon Chistyakov | D | 22 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Sergei Ivanov | G | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Zach Metsa | D | 25 | 550,000$ | 550,000$ | 550,000$ | 550,000$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 1 | 4 | 2 | 0 | 37.0 | 23 | 27 | 24 | 0 | 35.5 | 8.5 | 10.50 | 27.0 | 4.00 | 1.50 | 37.50% | 3.50 | 1.50 | 57.14% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.00 | 16.00 | 24.00 | 7.00 | 12.50 | 6.00 | 50.0% | 9.5% | 90.1% | 99.6 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 1 | 1 | 0 | 37.0 | 21 | 6 | 10 | 0 | 41.0 | 12.0 | 12.00 | 18.0 | 5.00 | 1.00 | 20.00% | 6.00 | 0.00 | 100.00% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 21.00 | 14.00 | 27.00 | 7.00 | 11.00 | 5.00 | 66.7% | 8.1% | 97.6% | 105.7 | DULL |
3 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5.00 | 3.00 | 2.00 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 5 | 3 | 1 | 2 | 41.0 | 22 | 27 | 26 | 10 | 41.5 | 9.0 | 5.00 | 33.0 | 4.50 | 0.00 | 0.00% | 2.50 | 1.00 | 60.00% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 25.00 | 17.50 | 23.50 | 7.50 | 13.00 | 6.50 | 71.4% | 12.2% | 92.8% | 105.0 | LUCKY |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.00 | -3.50 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 1 | 2 | 0 | 0 | 21.0 | 14 | 17 | 11 | 0 | 31.0 | 10.0 | 25.00 | 24.5 | 3.50 | 0.50 | 14.29% | 7.00 | 3.00 | 57.14% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 22.00 | 14.00 | 24.50 | 7.00 | 12.50 | 6.00 | 33.3% | 7.1% | 83.9% | 91.0 | Unlucky |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.50 | 5.00 | -1.50 | 0 | 0.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 2 | 2 | 0 | 26.5 | 21 | 16 | 16 | 0 | 39.0 | 11.5 | 13.00 | 32.5 | 2.50 | 0.00 | 0.00% | 6.50 | 2.00 | 69.23% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.00 | 15.00 | 24.00 | 6.50 | 12.50 | 6.00 | 53.8% | 13.2% | 87.2% | 100.4 | FUN |
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 | 3 | 1 | 3 | 0 | 29.0 | 15 | 20 | 23 | 0 | 26.0 | 5.5 | 23.50 | 25.5 | 2.00 | 0.50 | 25.00% | 5.50 | 1.50 | 72.73% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.50 | 16.50 | 23.50 | 7.00 | 12.00 | 6.00 | 100.0% | 12.1% | 94.2% | 106.3 | LUCKY |
_Vs Division | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN | |
_Vs Conference | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN | |
_Since Last GM Reset | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN | |
Total | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 3.36 | 3.36 | 0.00 | 12 | 0.545 | 3.4 | 5.7 | 9.1 | 0 | 0 | 14 | 13 | 9 | 2 | 31.5 | 116 | 113 | 110 | 10 | 35.2 | 9.2 | 15.09 | 27.5 | 3.45 | 0.55 | 15.79% | 5.09 | 1.64 | 67.86% | 0 | 206 | 378 | 54.50% | 186 | 415 | 44.82% | 98 | 184 | 53.26% | 23.27 | 15.91 | 24.45 | 7.27 | 12.55 | 6.18 | 62.0% | 10.7% | 90.4% | 101.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 378 |
Neutral Zone Start | 184 |
Defensive Zone Start | 415 |
Puck Time | |
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With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 490 |
Faceoffs Lost | 487 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 31 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 3 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 38 |
---|---|
PP Goal | 6 |
PK Attempt | 56 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 35.2 |
Goals For | 3.4 |
Goals Against | 3.4 |
Hits | 27.5 |
Shots Blocked | 9.2 |
Pim | 15.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | DRA5,TRA3 | RECAP | |||||||||
4 | ![]() | @ | ![]() | TRA5,REV3 | RECAP | |||||||||
7 | ![]() | @ | ![]() | TRA4,DRA5 | RECAP | |||||||||
10 | ![]() | @ | ![]() | REV4,TRA2 | RECAP | |||||||||
12 | ![]() | @ | ![]() | BFT2,TRA3 | RECAP | |||||||||
16 | ![]() | @ | ![]() | TRA4,BFT1 | RECAP | |||||||||
19 | ![]() | @ | ![]() | TRA5,MUS4 (SO) | RECAP | |||||||||
21 | ![]() | @ | ![]() | MUS2,TRA5 | RECAP | |||||||||
23 | ![]() | @ | ![]() | BIS5,TRA1 | RECAP | |||||||||
25 | ![]() | @ | ![]() | TRA2,BIS5 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | TRA3,HEL1 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,730,834$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Tilburg | ||
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 |
76,730,834$ | 76,730,834$ | 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 | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 189,365,471$ | 189,365,471$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Andrew Cristall | ![]() | 2023 | 32 | - | Link |
Arno Tiefensee | ![]() | 2023 | 144 | - | Link |
Arttu Karki | ![]() | 2023 | 59 | - | Link |
Bogdan Konyushkov | ![]() | 2023 | 88 | - | Link |
Cam Allen | ![]() | 2023 | 116 | - | Link |
David Granberg | ![]() | 2024 | 160 | 0 | |
Lenni Hameenaho | ![]() | 2023 | 60 | - | Link |
Luca Marrelli | ![]() | 2024 | 68 | 0 | |
Matvei Michkov | ![]() | 2023 | 6 | - | Link |
Maxim Motorygin | ![]() | 2024 | 176 | 0 | |
Miroslav Holinka | ![]() | 2024 | 137 | 0 | |
Nicholas Kempf | ![]() | 2024 | 124 | 0 | |
Stepan Gorbunov | ![]() | 2024 | 180 | 0 | |
Teddy Stiga | ![]() | 2024 | 40 | 0 | |
Tomas Mrsic | ![]() | 2024 | 96 | 0 | |
Zeev Buium | ![]() | 2024 | 12 | 0 |
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 Cristall | ![]() | 2023 | 32 | - | Link |
Arno Tiefensee | ![]() | 2023 | 144 | - | Link |
Arttu Karki | ![]() | 2023 | 59 | - | Link |
Bogdan Konyushkov | ![]() | 2023 | 88 | - | Link |
Cam Allen | ![]() | 2023 | 116 | - | Link |
David Granberg | ![]() | 2024 | 160 | 0 | |
Lenni Hameenaho | ![]() | 2023 | 60 | - | Link |
Luca Marrelli | ![]() | 2024 | 68 | 0 | |
Matvei Michkov | ![]() | 2023 | 6 | - | Link |
Maxim Motorygin | ![]() | 2024 | 176 | 0 | |
Miroslav Holinka | ![]() | 2024 | 137 | 0 | |
Nicholas Kempf | ![]() | 2024 | 124 | 0 | |
Stepan Gorbunov | ![]() | 2024 | 180 | 0 | |
Teddy Stiga | ![]() | 2024 | 40 | 0 | |
Tomas Mrsic | ![]() | 2024 | 96 | 0 | |
Zeev Buium | ![]() | 2024 | 12 | 0 |
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