![]() | Rockford IceHogs |
GP: 5 | W: 2 | L: 2 | OTL: 1 | P: 5 GF: 21 | GA: 23 | PP%: 22.22% | PK%: 71.43% GM : Matt Swackhammer | Morale : 60 | Team Overall : 46 Next Games #94 vs Wilkes-Barre/Scranton Penguins |
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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 | # | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Blake Biondi (R) | 51 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 22 | 4 | 750,000$ | ||||
2 | Josh Pillar (R) | 56 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 21 | 4 | 750,000$ | ||||
3 | Cole Huckins (R) | 64 | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | |||
4 | Rieger Lorenz (R) | 78 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
5 | Olivier Nadeau (R) | 81 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 3 | 750,000$ | ||||
6 | Arseny Gritsyuk (R) | 70 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 22 | 3 | 750,000$ | ||||
7 | Noah Ostlund (R) | 92 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
8 | Mattias Havelid (R) | 77 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
9 | Tomas Hamara (R) | 80 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Brett Berard | 52 | X | 90.46 | 51 | 51 | 65 | 51 | 52 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 60 | 52 | 0 | 21 | 1 | 750,000$ | ||||
2 | Alex Cotton (R) | 41 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 22 | 4 | 750,000$ | ||||
3 | Shai Buium (R) | 44 | X | 95.33 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
TEAM AVERAGE | 98.82 | 46 | 46 | 47 | 46 | 46 | 46 | 46 | 46 | 46 | 46 | 46 | 46 | 46 | 46 | 45 | 0 | 60 | 46 |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
1 | Calle Clang | 38 | 100.00 | 51 | 52 | 52 | 64 | 62 | 51 | 64 | 52 | 54 | 52 | 63 | 49 | 48 | 0 | 60 | 55 | 0 | 21 | 1 | 750,000$ | |
2 | Niklas Kokko (R) | 39 | 93.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | |
TEAM AVERAGE | 96.50 | 48 | 49 | 49 | 55 | 54 | 48 | 55 | 49 | 50 | 49 | 54 | 47 | 47 | 0 | 60 | 50 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd Reirden | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 52 | 3 | 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 |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Shai Buium | ![]() | D | 5 | 2 | 2 | 4 | 6 | 2 | 0 | 12 | 3 | 8 | 0 | 3 | 25.00% | 8 | 92 | 18.50 | 0 | 1 | 1 | 0 | 5 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
2 | Blake Biondi | ![]() | C | 5 | 1 | 2 | 3 | 4 | 0 | 0 | 7 | 12 | 9 | 2 | 6 | 11.11% | 1 | 80 | 16.16 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 48.51% | 101 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Olivier Nadeau | ![]() | RW | 5 | 3 | 0 | 3 | -1 | 0 | 0 | 8 | 3 | 11 | 2 | 10 | 27.27% | 0 | 82 | 16.52 | 0 | 0 | 0 | 1 | 10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
4 | Mattias Havelid | ![]() | D | 5 | 2 | 0 | 2 | -3 | 4 | 0 | 10 | 4 | 6 | 0 | 2 | 33.33% | 9 | 103 | 20.64 | 1 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Cole Huckins | ![]() | C/LW | 5 | 0 | 2 | 2 | -3 | 2 | 0 | 9 | 16 | 2 | 3 | 6 | 0.00% | 0 | 83 | 16.78 | 0 | 1 | 1 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 110 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6 | Arseny Gritsyuk | ![]() | RW | 5 | 0 | 2 | 2 | 3 | 2 | 0 | 11 | 1 | 4 | 4 | 5 | 0.00% | 0 | 82 | 16.47 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Josh Pillar | ![]() | C | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 100.00% | 0 | 20 | 20.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.48% | 23 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Tomas Hamara | ![]() | D | 5 | 0 | 1 | 1 | 0 | 4 | 0 | 14 | 3 | 3 | 0 | 1 | 0.00% | 5 | 84 | 16.97 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Brett Berard | ![]() | LW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 5 | 4 | 4 | 2 | 0.00% | 1 | 39 | 13.20 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Rieger Lorenz | ![]() | C | 5 | 0 | 0 | 0 | -2 | 2 | 0 | 2 | 8 | 4 | 3 | 4 | 0.00% | 1 | 74 | 14.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 62.50% | 24 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Noah Ostlund | ![]() | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 2 | 19 | 3.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 56.52% | 23 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 49 | 9 | 9 | 18 | 2 | 16 | 0 | 74 | 61 | 52 | 18 | 39 | 17.31% | 27 | 763 | 15.59 | 1 | 2 | 3 | 4 | 52 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 46.60% | 294 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 |
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 | Calle Clang | ![]() | 2 | 1 | 1 | 0 | 0.921 | 4.00 | 120 | 0 | 0 | 8 | 101 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0 | 1 | 0 | 0 |
2 | Niklas Kokko | ![]() | 3 | 1 | 1 | 1 | 0.880 | 4.92 | 183 | 0 | 0 | 15 | 125 | 0 | 0 | 0 | 0.00% | 0 | 3 | 3 | 0 | 0 | 0 |
Team Total or Average | 5 | 2 | 2 | 1 | 0.898 | 4.55 | 303 | 0 | 0 | 23 | 226 | 0 | 0 | 0 | 0 | 5 | 3 | 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 |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Waiver Possible | Contract | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Cotton | ![]() | D | 22 | 5/12/2001 7:50:29 AM | Yes | 183 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Arseny Gritsyuk | ![]() | RW | 22 | 3/15/2001 | Yes | 168 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Blake Biondi | ![]() | C | 22 | 9/17/2001 8:29:08 AM | Yes | 190 Lbs | 6 ft0 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Brett Berard (Out of Payroll) | ![]() | LW | 21 | 9/9/2002 | No | 165 Lbs | 5 ft9 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Calle Clang | ![]() | G | 21 | 5/20/2002 | No | 194 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Cole Huckins | ![]() | C/LW | 20 | 5/14/2003 3:16:27 AM | Yes | 201 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Josh Pillar | ![]() | C | 21 | 2/14/2002 7:20:15 AM | Yes | 174 Lbs | 6 ft0 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Mattias Havelid | ![]() | D | 19 | 1/1/2004 3:10:32 AM | Yes | 172 Lbs | 5 ft10 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Niklas Kokko (Out of Payroll) | ![]() | G | 19 | 3/14/2004 3:37:51 AM | Yes | 185 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Noah Ostlund | ![]() | C | 19 | 3/11/2004 3:13:21 AM | Yes | 163 Lbs | 5 ft11 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Olivier Nadeau | ![]() | RW | 20 | 1/15/2003 3:57:26 AM | Yes | 205 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Rieger Lorenz | ![]() | C | 19 | 3/30/2004 3:25:59 AM | Yes | 194 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Shai Buium | ![]() | D | 20 | 3/26/2003 2:36:54 AM | Yes | 214 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Tomas Hamara | ![]() | D | 19 | 3/9/2004 8:11:18 AM | Yes | 185 Lbs | 6 ft0 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
14 | 20.29 | 185 Lbs | 6 ft1 | 3.43 | 750,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Cole Huckins | Olivier Nadeau | 30 | 1 | 2 | 2 | |
2 | Blake Biondi | Arseny Gritsyuk | 30 | 1 | 2 | 2 | |
3 | Rieger Lorenz | 25 | 1 | 2 | 2 | ||
4 | 15 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mattias Havelid | 30 | 1 | 2 | 2 | ||
2 | 30 | 1 | 2 | 2 | |||
3 | Tomas Hamara | 25 | 1 | 2 | 2 | ||
4 | Mattias Havelid | 15 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Cole Huckins | Olivier Nadeau | 60 | 1 | 2 | 2 | |
2 | Blake Biondi | Arseny Gritsyuk | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mattias Havelid | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Rieger Lorenz | 60 | 1 | 2 | 2 | |
2 | Arseny Gritsyuk | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mattias Havelid | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | Mattias Havelid | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Cole Huckins | 60 | 1 | 2 | 2 | |
2 | Blake Biondi | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mattias Havelid | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Cole Huckins | Olivier Nadeau | Mattias Havelid |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Cole Huckins | Olivier Nadeau | Mattias Havelid |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Noah Ostlund, | , Noah Ostlund |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Tomas Hamara, , | , Tomas Hamara |
Penalty Shots |
---|
Cole Huckins, , Blake Biondi, , |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
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Cole Huckins, , Blake Biondi, , , , , Rieger Lorenz, Olivier Nadeau, Arseny Gritsyuk, |
Custom OT Lines Defensemen |
---|
, Mattias Havelid, , , |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 8 | 10 | 3 | 0 | 85 | 56 | 66 | 64 | 1 | 75 | 32 | 12 | 44 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 68 | 162 | 41.98% | 90 | 187 | 48.13% | 40 | 93 | 43.01% | 102 | 72 | 139 | 36 | 62 | 28 |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 8 | 10 | 3 | 0 | 55 | 56 | 66 | 64 | 1 | 101 | 30 | 15 | 49 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 68 | 162 | 41.98% | 90 | 187 | 48.13% | 40 | 93 | 43.01% | 102 | 72 | 139 | 36 | 62 | 28 |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 6 | 11 | 17 | 0 | 0 | 8 | 10 | 3 | 0 | 47 | 56 | 66 | 64 | 1 | 50 | 14 | 8 | 30 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 68 | 162 | 41.98% | 90 | 187 | 48.13% | 40 | 93 | 43.01% | 102 | 72 | 139 | 36 | 62 | 28 |
Total | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 21 | 23 | -2 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 15 | 15 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 5 | 0.500 | 21 | 41 | 62 | 0 | 0 | 8 | 10 | 3 | 0 | 187 | 56 | 66 | 64 | 1 | 226 | 76 | 35 | 123 | 9 | 2 | 22.22% | 14 | 4 | 71.43% | 0 | 68 | 162 | 41.98% | 90 | 187 | 48.13% | 40 | 93 | 43.01% | 102 | 72 | 139 | 36 | 62 | 28 | |
_Since Last GM Reset | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 21 | 23 | -2 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 15 | 15 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 5 | 0.500 | 21 | 41 | 62 | 0 | 0 | 8 | 10 | 3 | 0 | 187 | 56 | 66 | 64 | 1 | 226 | 76 | 35 | 123 | 9 | 2 | 22.22% | 14 | 4 | 71.43% | 0 | 68 | 162 | 41.98% | 90 | 187 | 48.13% | 40 | 93 | 43.01% | 102 | 72 | 139 | 36 | 62 | 28 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
5 | 5 | OTL1 | 21 | 41 | 62 | 187 | 226 | 76 | 35 | 123 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 2 | 2 | 0 | 1 | 0 | 0 | 21 | 23 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 1 | 0 | 1 | 0 | 0 | 15 | 15 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 6 | 8 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 2 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
9 | 2 | 22.22% | 14 | 4 | 71.43% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
56 | 66 | 64 | 1 | 8 | 10 | 3 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
68 | 162 | 41.98% | 90 | 187 | 48.13% | 40 | 93 | 43.01% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
102 | 72 | 139 | 36 | 62 | 28 |
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 |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 4500 | 3500 |
Ticket Price | 35 | 0 |
Attendance | 0 | 0 |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
13 | 0 - 0.00% | 0$ | 0$ | 8000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 900,000$ | 75,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 41 | 0$ | 0$ |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|