![]() | Rock |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Casey Schuhmacher | Morale : 50 | Team Overall : 71 |
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leo Panas | 0 | X | 100.00 | 54 | 39 | 99 | 86 | 59 | 99 | 71 | 78 | 69 | 49 | 97 | 73 | 78 | 85 | 69 | 9 | 50 | 75 | 0 | 32 | 1 | 1,654,865$ | |||||
2 | Billy Fonteyne | 27 | X | 100.00 | 76 | 56 | 94 | 62 | 69 | 64 | 71 | 69 | 98 | 94 | 52 | 75 | 34 | 86 | 90 | 40 | 50 | 74 | 0 | 28 | 2 | 998,354$ | |||||
3 | Benjamin Baadsvik (R) | 0 | X | 100.00 | 54 | 64 | 83 | 91 | 94 | 89 | 55 | 91 | 99 | 45 | 68 | 69 | 43 | 36 | 48 | 65 | 50 | 74 | 0 | 23 | 1 | 900,000$ | |||||
4 | Dennis Wilks | 17 | X | 100.00 | 77 | 34 | 92 | 54 | 78 | 65 | 82 | 89 | 90 | 72 | 90 | 35 | 75 | 83 | 61 | 60 | 50 | 73 | 0 | 23 | 2 | 1,250,000$ | |||||
5 | Duncan Dorowicz (R) | 0 | X | 100.00 | 74 | 59 | 77 | 92 | 80 | 84 | 66 | 62 | 90 | 43 | 53 | 67 | 59 | 69 | 79 | 57 | 50 | 69 | 0 | 24 | 5 | 1,200,000$ | |||||
6 | Kory Ellis | 0 | X | 100.00 | 77 | 53 | 59 | 81 | 96 | 60 | 72 | 68 | 25 | 65 | 60 | 80 | 80 | 91 | 68 | 65 | 50 | 74 | 0 | 24 | 3 | 1,300,000$ | |||||
7 | Carl Svensson (R) | 0 | X | 100.00 | 56 | 37 | 58 | 91 | 65 | 81 | 65 | 78 | 25 | 53 | 71 | 98 | 65 | 88 | 35 | 57 | 50 | 71 | 0 | 24 | 2 | 1,900,950$ | |||||
8 | Jean-Francois Soehner | 0 | X | 100.00 | 33 | 44 | 97 | 62 | 80 | 53 | 55 | 69 | 25 | 85 | 41 | 93 | 98 | 60 | 56 | 10 | 50 | 67 | 0 | 33 | 1 | 700,000$ | |||||
Scratches | |||||||||||||||||||||||||||||||
1 | Ignat Maksimenko (R) | 0 | X | 100.00 | 81 | 63 | 45 | 91 | 96 | 89 | 76 | 53 | 69 | 64 | 72 | 89 | 63 | 67 | 73 | 66 | 50 | 76 | 0 | 18 | 3 | 900,000$ | |||||
2 | Gino Genua | 0 | X | 100.00 | 59 | 51 | 58 | 57 | 75 | 68 | 78 | 73 | 79 | 81 | 98 | 81 | 92 | 47 | 58 | 56 | 50 | 75 | 0 | 26 | 0 | 0$ | |||||
3 | Curtis Boogard (R) | 0 | X | 100.00 | 76 | 50 | 43 | 86 | 77 | 91 | 78 | 54 | 74 | 79 | 66 | 79 | 70 | 63 | 62 | 65 | 50 | 75 | 0 | 19 | 3 | 1,000,000$ | |||||
4 | Radan Vojta (R) | 0 | X | 100.00 | 74 | 72 | 72 | 76 | 82 | 71 | 91 | 95 | 63 | 51 | 89 | 58 | 64 | 63 | 69 | 69 | 50 | 74 | 0 | 18 | 3 | 1,000,000$ | |||||
5 | Bert Schedin (R) | 0 | X | 100.00 | 65 | 50 | 89 | 87 | 52 | 99 | 60 | 69 | 79 | 49 | 84 | 52 | 55 | 88 | 49 | 63 | 50 | 69 | 0 | 21 | 3 | 800,000$ | |||||
6 | Yakov Shukayev | 0 | X | 100.00 | 59 | 41 | 82 | 58 | 57 | 53 | 58 | 81 | 65 | 80 | 94 | 39 | 35 | 77 | 46 | 53 | 50 | 66 | 0 | 25 | 1 | 700,000$ | |||||
7 | Christoffer Bauer (R) | 0 | X | 100.00 | 28 | 54 | 73 | 91 | 36 | 85 | 82 | 74 | 89 | 35 | 51 | 44 | 89 | 55 | 62 | 59 | 50 | 61 | 0 | 23 | 0 | 0$ | |||||
8 | Gregory Wieman | 5 | X | 100.00 | 70 | 64 | 54 | 57 | 90 | 61 | 83 | 73 | 25 | 96 | 66 | 58 | 46 | 92 | 72 | 47 | 50 | 72 | 0 | 25 | 0 | 0$ | |||||
9 | Marcos Pendlebury (R) | 52 | X | 100.00 | 46 | 55 | 60 | 96 | 75 | 96 | 50 | 91 | 25 | 55 | 58 | 87 | 60 | 61 | 55 | 56 | 50 | 72 | 0 | 24 | 0 | 0$ | |||||
10 | Vladimir Aleksandrov (R) | 4 | X | 100.00 | 85 | 58 | 55 | 68 | 53 | 87 | 50 | 84 | 25 | 67 | 64 | 56 | 36 | 92 | 39 | 77 | 50 | 67 | 0 | 22 | 1 | 700,000$ | |||||
11 | Konrad Turkiewicz (R) | 0 | X | 100.00 | 27 | 57 | 71 | 57 | 72 | 80 | 77 | 78 | 25 | 80 | 32 | 79 | 87 | 47 | 51 | 67 | 50 | 67 | 0 | 22 | 2 | 800,000$ | |||||
12 | Tristen Mailloux (R) | 0 | X | 100.00 | 78 | 48 | 56 | 79 | 36 | 99 | 96 | 83 | 25 | 40 | 63 | 52 | 68 | 71 | 57 | 69 | 50 | 67 | 0 | 21 | 3 | 800,000$ | |||||
13 | Beauregard Pantall | 0 | X | 100.00 | 50 | 64 | 57 | 74 | 88 | 56 | 53 | 68 | 25 | 60 | 71 | 60 | 66 | 34 | 65 | 48 | 50 | 65 | 0 | 26 | 1 | 700,000$ | |||||
TEAM AVERAGE | 100.00 | 62 | 53 | 70 | 76 | 72 | 78 | 70 | 75 | 57 | 64 | 69 | 68 | 65 | 69 | 60 | 55 | 50 | 71 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | # | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Magnus Pimm | 33 | 100.00 | 64 | 92 | 81 | 83 | 96 | 56 | 81 | 55 | 92 | 72 | 88 | 50 | 47 | 31 | 50 | 77 | 0 | 30 | 1 | 1,540,000$ | ||
2 | Marc-Etienne Hansey (R) | 0 | 100.00 | 97 | 78 | 95 | 79 | 67 | 60 | 78 | 63 | 70 | 76 | 91 | 76 | 41 | 61 | 50 | 76 | 0 | 22 | 5 | 1,700,000$ | ||
Scratches | |||||||||||||||||||||||||
1 | Feliks Pirttijarvi | 0 | 100.00 | 72 | 84 | 78 | 70 | 81 | 75 | 66 | 61 | 50 | 61 | 62 | 64 | 98 | 34 | 50 | 70 | 0 | 28 | 1 | 1,267,500$ | ||
TEAM AVERAGE | 100.00 | 78 | 85 | 85 | 77 | 81 | 64 | 75 | 60 | 71 | 70 | 80 | 63 | 62 | 42 | 50 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Wesley Gillis | 62 | 61 | 39 | 72 | 52 | 96 | 57 | CAN | 45 | 2 | 200,000$ |
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 |
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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 |
# | 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 |
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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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | 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 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Beauregard Pantall | ![]() | D | 26 | 2001-04-19 | USA | No | 189 Lbs | 6 ft3 | No | No | Trade | 2024-02-20 | No | No | 1 | False | False | Pro & Farm | 700,000$ | 70,000$ | 70,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Benjamin Baadsvik | ![]() | C | 23 | 2004-11-09 | CAN | Yes | 185 Lbs | 6 ft1 | No | No | Free Agent | No | No | 1 | 2024-07-04 | False | False | Pro & Farm | 900,000$ | 90,000$ | 90,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Bert Schedin | ![]() | LW | 21 | 2006-08-12 | SWE | Yes | 171 Lbs | 5 ft7 | No | No | Draft | No | No | 3 | 2025-10-05 | False | False | Pro & Farm | 800,000$ | 80,000$ | 80,000$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Billy Fonteyne | ![]() | LW | 28 | 1999-12-18 | CAN | No | 215 Lbs | 6 ft0 | No | No | Trade | 2024-02-16 | No | No | 2 | False | False | Pro & Farm | 998,354$ | 99,835$ | 99,835$ | No | 998,354$ | - | - | - | - | - | - | - | - | 998,354$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Carl Svensson | ![]() | D | 24 | 2003-11-04 | SWE | Yes | 211 Lbs | 6 ft3 | No | No | Trade | 2025-06-21 | No | No | 2 | False | False | Pro & Farm | 1,900,950$ | 190,095$ | 190,095$ | No | 1,900,950$ | - | - | - | - | - | - | - | - | 1,900,950$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Christoffer Bauer | ![]() | LW | 23 | 2004-04-15 | SWE | Yes | 204 Lbs | 6 ft0 | No | No | Free Agent | No | No | 0 | 2025-04-09 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Curtis Boogard | ![]() | RW | 19 | 2008-12-27 | CAN | Yes | 192 Lbs | 6 ft2 | No | No | Draft | No | No | 3 | 2025-10-09 | False | False | Pro & Farm | 1,000,000$ | 100,000$ | 100,000$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Dennis Wilks | ![]() | RW | 23 | 2004-01-15 | CAN | No | 219 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 2 | 2025-02-01 | False | False | Pro & Farm | 1,250,000$ | 125,000$ | 125,000$ | No | 1,250,000$ | - | - | - | - | - | - | - | - | 1,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Duncan Dorowicz | ![]() | RW | 24 | 2003-11-27 | CAN | Yes | 192 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 1,200,000$ | 120,000$ | 120,000$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Feliks Pirttijarvi | ![]() | G | 28 | 1999-12-13 | FIN | No | 184 Lbs | 5 ft5 | No | No | Trade | 2024-03-17 | No | No | 1 | False | False | Pro & Farm | 1,267,500$ | 126,750$ | 126,750$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Gino Genua | ![]() | LW | 26 | 2001-03-17 | CAN | No | 179 Lbs | 5 ft8 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Gregory Wieman | ![]() | D | 25 | 2002-03-21 | USA | No | 211 Lbs | 6 ft5 | No | No | Trade | 2024-02-17 | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ignat Maksimenko | ![]() | RW | 18 | 2009-07-24 | BLR | Yes | 195 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 3 | 2025-10-09 | False | False | Pro & Farm | 900,000$ | 90,000$ | 90,000$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Jean-Francois Soehner | ![]() | D | 33 | 1994-06-18 | CAN | No | 243 Lbs | 6 ft8 | No | No | Assign Manually | 2024-07-18 | No | No | 1 | 2025-09-28 | False | False | Pro & Farm | 700,000$ | 70,000$ | 70,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Konrad Turkiewicz | ![]() | D | 22 | 2005-06-20 | CAN | Yes | 214 Lbs | 6 ft7 | No | No | Free Agent | No | No | 2 | 2025-02-17 | False | False | Pro & Farm | 800,000$ | 80,000$ | 80,000$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Kory Ellis | ![]() | D | 24 | 2003-07-12 | USA | No | 181 Lbs | 6 ft3 | No | No | Trade | 2024-06-15 | No | No | 3 | 2024-06-03 | False | False | Pro & Farm | 1,300,000$ | 130,000$ | 130,000$ | No | 1,300,000$ | 1,300,000$ | - | - | - | - | - | - | - | 1,300,000$ | 1,300,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
Leo Panas | ![]() | C | 32 | 1995-10-02 | CAN | No | 229 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | 2024-06-04 | False | False | Pro & Farm | 1,654,865$ | 165,486$ | 165,486$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Magnus Pimm | ![]() | G | 30 | 1997-02-07 | CAN | No | 217 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,540,000$ | 154,000$ | 154,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Marc-Etienne Hansey | ![]() | G | 22 | 2005-10-20 | CAN | Yes | 182 Lbs | 5 ft5 | No | No | Assign Manually | 2025-06-03 | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 1,700,000$ | 170,000$ | 170,000$ | No | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | - | - | - | - | - | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
Marcos Pendlebury | ![]() | D | 24 | 2003-02-14 | USA | Yes | 209 Lbs | 6 ft5 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Radan Vojta | ![]() | RW | 18 | 2009-09-11 | CZE | Yes | 202 Lbs | 6 ft8 | No | No | Assign Manually | No | No | 3 | 2025-10-09 | False | False | Pro & Farm | 1,000,000$ | 100,000$ | 100,000$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Tristen Mailloux | ![]() | D | 21 | 2006-03-08 | CAN | Yes | 218 Lbs | 6 ft3 | No | No | Draft | No | No | 3 | 2025-10-05 | False | False | Pro & Farm | 800,000$ | 80,000$ | 80,000$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Vladimir Aleksandrov | ![]() | D | 22 | 2005-02-08 | RUS | Yes | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 70,000$ | 70,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Yakov Shukayev | ![]() | C | 25 | 2002-08-25 | RUS | No | 173 Lbs | 5 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 70,000$ | 70,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 24.21 | 201 Lbs | 6 ft2 | 1.83 | 908,820$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Leo Panas | Duncan Dorowicz | 35 | 1 | 1 | 3 | |
2 | Benjamin Baadsvik | 35 | 1 | 1 | 3 | ||
3 | Dennis Wilks | 20 | 1 | 2 | 2 | ||
4 | Billy Fonteyne | Duncan Dorowicz | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Kory Ellis | 35 | 1 | 2 | 2 | ||
2 | 35 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Benjamin Baadsvik | Leo Panas | Duncan Dorowicz | 50 | 1 | 1 | 3 |
2 | Benjamin Baadsvik | Dennis Wilks | 50 | 1 | 1 | 3 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 50 | 1 | 2 | 2 | |||
2 | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Benjamin Baadsvik | 50 | 1 | 2 | 2 | |
2 | Leo Panas | Dennis Wilks | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Kory Ellis | 50 | 1 | 2 | 2 | |
2 | 50 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Leo Panas | 50 | 1 | 2 | 2 | 50 | 1 | 2 | 2 | ||
2 | 50 | 1 | 2 | 2 | Kory Ellis | 50 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Dennis Wilks | 50 | 1 | 2 | 2 | |
2 | Leo Panas | Duncan Dorowicz | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 50 | 1 | 2 | 2 | ||
2 | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Dennis Wilks | Leo Panas |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Benjamin Baadsvik |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Duncan Dorowicz, Leo Panas | Dennis Wilks, Duncan Dorowicz |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Kory Ellis | , |
Penalty Shots |
---|
Dennis Wilks, Duncan Dorowicz, Leo Panas, Benjamin Baadsvik, |
Goalie |
---|
#1 : Marc-Etienne Hansey, #2 : Magnus Pimm |
Custom OT Lines Forwards |
---|
, , Dennis Wilks, Billy Fonteyne, Duncan Dorowicz, Benjamin Baadsvik, Leo Panas, , , |
Custom OT Lines Defensemen |
---|
Kory Ellis, , , , |
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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0% | 0% |
Attendance PCT | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
40 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
0$ | 2,181,166$ | 2,181,166$ | 200,000$0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 20 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leo Panas | 293 | 82 | 101 | 183 | -36 | 22 | 292 | 578 | 675 | 12.15% | 137 | 5739 | 19.59 | 17 | 26 | 43 | 46 | 3 | 2 | 5 | 26 | 10 | 3 | 48.66% | 1 | 0.64 | 0 | 4 |
2 | Dunmore Heckman | 239 | 54 | 88 | 142 | -43 | 190 | 398 | 247 | 488 | 11.07% | 88 | 4009 | 16.78 | 14 | 14 | 28 | 36 | 0 | 1 | 1 | 15 | 10 | 2 | 43.73% | 0 | 0.71 | 0 | 3 |
3 | Geordie Mcgee | 298 | 46 | 44 | 90 | -40 | 25 | 250 | 342 | 428 | 10.75% | 91 | 4488 | 15.06 | 3 | 7 | 10 | 7 | 0 | 0 | 0 | 6 | 5 | 1 | 52.74% | 0 | 0.40 | 1 | 2 |
4 | Bruno-Carl Young | 147 | 37 | 43 | 80 | -24 | 117 | 187 | 253 | 360 | 10.28% | 78 | 2767 | 18.83 | 6 | 7 | 13 | 19 | 0 | 0 | 0 | 14 | 8 | 3 | 38.64% | 0 | 0.58 | 1 | 12 |
5 | Timothee Braun | 298 | 7 | 69 | 76 | -100 | 254 | 522 | 506 | 274 | 2.55% | 347 | 6906 | 23.18 | 4 | 11 | 15 | 15 | 0 | 2 | 2 | 4 | 1 | 2 | 33.33% | 0 | 0.22 | 2 | 2 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Magnus Pimm | 155 | 46 | 77 | 23 | 0.909 | 2.77 | 8803 | 8 | 4 | 407 | 4461 | 2551 | 10 | 5 | 0.617 | 47 |
2 | Nigel Hagen | 85 | 27 | 38 | 11 | 0.903 | 3.01 | 4623 | 8 | 2 | 232 | 2389 | 1181 | 4 | 2 | 0.500 | 12 |
3 | Marc-Etienne Hansey | 36 | 9 | 21 | 4 | 0.898 | 3.26 | 1987 | 2 | 0 | 108 | 1060 | 612 | 1 | 1 | 0.700 | 10 |
4 | Brodie Helyar | 38 | 9 | 19 | 7 | 0.910 | 3.05 | 2143 | 17 | 0 | 109 | 1211 | 740 | 0 | 1 | 0.571 | 7 |
5 | Ethan Fernhout | 10 | 3 | 3 | 3 | 0.876 | 3.24 | 537 | 0 | 0 | 29 | 233 | 125 | 0 | 1 | 0 | 0 |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 80 | 26 | 33 | 0 | 4 | 10 | 1 | 6 | 192 | 222 | -30 | 40 | 12 | 16 | 0 | 2 | 5 | 1 | 4 | 99 | 119 | -20 | 40 | 14 | 17 | 0 | 2 | 5 | 0 | 2 | 93 | 103 | -10 | 78 | 192 | 328 | 520 | 3 | 2 | 35 | 79 | 73 | 5 | 2200 | 604 | 777 | 793 | 45 | 2236 | 744 | 934 | 2083 | 143 | 29 | 20.28% | 229 | 59 | 74.24% | 1 | 762 | 1493 | 51.04% | 749 | 1504 | 49.80% | 508 | 1011 | 50.25% | 1716 | 965 | 1629 | 756 | 1510 | 742 |
2 | 80 | 16 | 48 | 0 | 5 | 3 | 2 | 6 | 143 | 230 | -87 | 40 | 7 | 25 | 0 | 3 | 3 | 0 | 2 | 66 | 111 | -45 | 40 | 9 | 23 | 0 | 2 | 0 | 2 | 4 | 77 | 119 | -42 | 55 | 143 | 232 | 375 | 2 | 2 | 25 | 50 | 61 | 8 | 1498 | 373 | 490 | 611 | 50 | 2437 | 843 | 870 | 1630 | 133 | 34 | 25.56% | 206 | 43 | 79.13% | 3 | 565 | 1187 | 47.60% | 791 | 1635 | 48.38% | 452 | 951 | 47.53% | 1435 | 653 | 1791 | 787 | 1627 | 832 |
3 | 80 | 18 | 41 | 0 | 3 | 11 | 1 | 6 | 203 | 270 | -67 | 40 | 11 | 17 | 0 | 1 | 9 | 1 | 1 | 118 | 141 | -23 | 40 | 7 | 24 | 0 | 2 | 2 | 0 | 5 | 85 | 129 | -44 | 61 | 203 | 336 | 539 | 3 | 0 | 51 | 70 | 78 | 5 | 2233 | 697 | 773 | 746 | 37 | 2694 | 869 | 830 | 2161 | 143 | 32 | 22.38% | 236 | 58 | 75.42% | 1 | 736 | 1537 | 47.89% | 792 | 1670 | 47.43% | 518 | 1120 | 46.25% | 1622 | 885 | 1767 | 740 | 1462 | 720 |
4 | 80 | 18 | 49 | 0 | 1 | 6 | 3 | 3 | 183 | 271 | -88 | 40 | 10 | 23 | 0 | 1 | 1 | 2 | 3 | 96 | 137 | -41 | 40 | 8 | 26 | 0 | 0 | 5 | 1 | 0 | 87 | 134 | -47 | 53 | 183 | 298 | 481 | 1 | 3 | 51 | 63 | 65 | 6 | 1999 | 617 | 673 | 685 | 42 | 2616 | 901 | 1066 | 1636 | 133 | 41 | 30.83% | 239 | 58 | 75.73% | 6 | 683 | 1443 | 47.33% | 804 | 1634 | 49.20% | 512 | 1056 | 48.48% | 1508 | 773 | 1820 | 758 | 1517 | 763 |
Total Regular Season | 320 | 78 | 171 | 0 | 13 | 30 | 7 | 21 | 721 | 993 | -272 | 160 | 40 | 81 | 0 | 7 | 18 | 4 | 10 | 379 | 508 | -129 | 160 | 38 | 90 | 0 | 6 | 12 | 3 | 11 | 342 | 485 | -143 | 247 | 721 | 1194 | 1915 | 9 | 7 | 162 | 262 | 277 | 24 | 7930 | 2291 | 2713 | 2835 | 174 | 9983 | 3357 | 3700 | 7510 | 552 | 136 | 24.64% | 910 | 218 | 76.04% | 11 | 2746 | 5660 | 48.52% | 3136 | 6443 | 48.67% | 1990 | 4138 | 48.09% | 6283 | 3277 | 7008 | 3042 | 6118 | 3059 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 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 |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|