![]() | Orcas |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Jason Karutz | Morale : 50 | Team Overall : 79 |
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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 | Keegan Ramkema (C) | 0 | X | 100.00 | 87 | 70 | 71 | 99 | 80 | 97 | 82 | 97 | 52 | 87 | 98 | 83 | 65 | 39 | 51 | 20 | 50 | 87 | 0 | 32 | 3 | 6,166,263$ | |||||
| 2 | Srebrenko Cvitanovic | 0 | X | 100.00 | 94 | 70 | 74 | 80 | 70 | 93 | 74 | 99 | 86 | 86 | 96 | 59 | 57 | 60 | 43 | 17 | 50 | 83 | 0 | 32 | 1 | 3,694,846$ | |||||
| 3 | Justice Wang | 0 | X | 100.00 | 92 | 36 | 92 | 84 | 85 | 97 | 60 | 99 | 64 | 87 | 59 | 85 | 54 | 35 | 42 | 57 | 50 | 82 | 0 | 25 | 2 | 3,450,606$ | |||||
| 4 | David Manno | 18 | X | 100.00 | 85 | 27 | 70 | 85 | 75 | 73 | 60 | 79 | 73 | 95 | 92 | 85 | 58 | 32 | 41 | 65 | 50 | 81 | 0 | 22 | 3 | 3,295,000$ | |||||
| 5 | Jamal Gratton | 0 | X | 100.00 | 96 | 33 | 71 | 81 | 90 | 72 | 70 | 96 | 84 | 87 | 80 | 45 | 90 | 42 | 49 | 42 | 50 | 79 | 0 | 27 | 2 | 3,965,000$ | |||||
| 6 | Mikko-Matti Forsblad | 0 | X | 100.00 | 89 | 51 | 67 | 95 | 85 | 56 | 51 | 91 | 71 | 89 | 82 | 81 | 64 | 38 | 93 | 2 | 50 | 79 | 0 | 35 | 1 | 2,700,618$ | |||||
| 7 | Leonard Bjorklund | 0 | X | 100.00 | 78 | 68 | 68 | 94 | 75 | 85 | 51 | 67 | 63 | 95 | 69 | 93 | 72 | 83 | 50 | 24 | 50 | 78 | 0 | 31 | 1 | 2,000,892$ | |||||
| 8 | Alec Welsford | 9 | X | 100.00 | 74 | 38 | 62 | 77 | 25 | 92 | 73 | 89 | 98 | 92 | 95 | 43 | 96 | 37 | 60 | 23 | 50 | 75 | 0 | 32 | 1 | 2,860,266$ | |||||
| 9 | Jake Corbin | 0 | X | 100.00 | 49 | 51 | 61 | 94 | 74 | 78 | 55 | 83 | 65 | 85 | 80 | 68 | 89 | 71 | 52 | 2 | 50 | 75 | 0 | 35 | 1 | 1,972,841$ | |||||
| 10 | Antonio Macphedron | 0 | X | 100.00 | 46 | 30 | 84 | 73 | 55 | 68 | 59 | 93 | 88 | 81 | 75 | 96 | 54 | 87 | 48 | 72 | 50 | 75 | 0 | 22 | 4 | 2,250,000$ | |||||
| 11 | Reeti Tiitinen (A) | 0 | X | 100.00 | 83 | 37 | 94 | 93 | 66 | 78 | 80 | 95 | 25 | 76 | 77 | 93 | 69 | 66 | 64 | 24 | 50 | 80 | 0 | 31 | 3 | 4,986,000$ | |||||
| 12 | Sixten Angstrom | 0 | X | 100.00 | 99 | 51 | 61 | 98 | 83 | 65 | 68 | 86 | 25 | 60 | 62 | 97 | 52 | 56 | 64 | 30 | 50 | 79 | 0 | 29 | 1 | 1,829,000$ | |||||
| 13 | Carey Griffiths (A) | 0 | X | 100.00 | 35 | 94 | 77 | 84 | 87 | 80 | 78 | 96 | 25 | 84 | 38 | 98 | 80 | 39 | 85 | 56 | 50 | 79 | 0 | 25 | 4 | 2,240,924$ | |||||
| 14 | Qi Chongkun | 0 | X | 100.00 | 60 | 46 | 82 | 95 | 87 | 99 | 59 | 94 | 25 | 59 | 65 | 90 | 51 | 55 | 53 | 75 | 50 | 78 | 0 | 21 | 1 | 1,000,000$ | |||||
| 15 | Max Cooper (R) | 0 | X | 100.00 | 79 | 70 | 62 | 77 | 85 | 85 | 78 | 65 | 70 | 71 | 60 | 91 | 64 | 70 | 72 | 75 | 50 | 78 | 0 | 19 | 2 | 1,000,000$ | |||||
| 16 | Wilhelm Norden | 0 | X | 100.00 | 65 | 49 | 70 | 86 | 90 | 97 | 82 | 59 | 25 | 39 | 75 | 94 | 68 | 93 | 43 | 11 | 50 | 77 | 0 | 33 | 1 | 2,342,151$ | |||||
| Scratches | |||||||||||||||||||||||||||||||
| 1 | Carsten Kerly (R) | 0 | X | 100.00 | 86 | 64 | 73 | 86 | 70 | 67 | 60 | 97 | 98 | 45 | 99 | 74 | 66 | 90 | 69 | 60 | 50 | 75 | 0 | 24 | 4 | 1,999,600$ | |||||
| TEAM AVERAGE | 100.00 | 76 | 52 | 73 | 87 | 75 | 81 | 67 | 87 | 61 | 78 | 77 | 81 | 68 | 58 | 58 | 39 | 50 | 79 | ||||||||||||
| 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 | Mangjeol Su-Cheol | 0 | 100.00 | 73 | 69 | 69 | 83 | 99 | 80 | 98 | 83 | 95 | 53 | 75 | 85 | 51 | 9 | 50 | 80 | 0 | 34 | 2 | 4,200,571$ | ||
| 2 | Jessey Tarasuk | 0 | 100.00 | 50 | 83 | 84 | 95 | 70 | 61 | 96 | 91 | 87 | 52 | 86 | 52 | 69 | 52 | 50 | 77 | 0 | 24 | 2 | 3,335,600$ | ||
| Scratches | |||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 62 | 76 | 77 | 89 | 85 | 71 | 97 | 87 | 91 | 53 | 81 | 69 | 60 | 31 | 50 | 79 | ||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Tadeas Spryner | 72 | 91 | 99 | 59 | 80 | 57 | 47 | CAN | 40 | 2 | 1,000,000$ |
| 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 |
|---|
| 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 |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alec Welsford | Orcas | C | 32 | 1996-09-11 | CAN | No | 180 Lbs | 5 ft7 | No | No | Assign Manually | No | No | 1 | 2026-05-02 | False | False | Pro & Farm | 2,860,266$ | 2,860,266$ | 2,860,266$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Antonio Macphedron | Orcas | C | 22 | 2006-06-26 | USA | No | 179 Lbs | 5 ft6 | No | No | Trade | 2025-10-02 | No | No | 4 | 2025-09-28 | False | False | Pro & Farm | 2,250,000$ | 2,250,000$ | 2,250,000$ | No | 2,250,000$ | 2,250,000$ | 2,250,000$ | - | - | - | - | - | - | 2,250,000$ | 2,250,000$ | 2,250,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Carey Griffiths | Orcas | D | 25 | 2003-11-15 | CAN | No | 209 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 4 | 2025-09-28 | False | False | Pro & Farm | 2,240,924$ | 2,240,924$ | 2,240,924$ | No | 2,240,924$ | 2,240,924$ | 2,240,924$ | - | - | - | - | - | - | 2,240,924$ | 2,240,924$ | 2,240,924$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Carsten Kerly | Orcas | C | 24 | 2004-11-05 | USA | Yes | 177 Lbs | 5 ft7 | No | No | Draft | No | No | 4 | 2026-05-03 | False | False | Pro & Farm | 1,999,600$ | 1,999,600$ | 1,999,600$ | No | 1,999,600$ | 1,999,600$ | 1,999,600$ | - | - | - | - | - | - | 1,999,600$ | 1,999,600$ | 1,999,600$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| David Manno | Orcas | LW | 22 | 2006-02-03 | CAN | No | 179 Lbs | 5 ft5 | No | No | Trade | 2026-02-20 | No | No | 3 | 2025-09-28 | False | False | Pro & Farm | 3,295,000$ | 3,295,000$ | 3,295,000$ | No | 3,295,000$ | 3,295,000$ | - | - | - | - | - | - | - | 3,295,000$ | 3,295,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Jake Corbin | Orcas | RW | 35 | 1993-08-23 | CAN | No | 205 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2026-05-02 | False | False | Pro & Farm | 1,972,841$ | 1,972,841$ | 1,972,841$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jamal Gratton | Orcas | LW | 27 | 2001-07-25 | CAN | No | 188 Lbs | 5 ft8 | No | No | Assign Manually | No | No | 2 | 2025-09-28 | False | False | Pro & Farm | 3,965,000$ | 3,965,000$ | 3,965,000$ | No | 3,965,000$ | - | - | - | - | - | - | - | - | 3,965,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jessey Tarasuk | Orcas | G | 24 | 2004-11-02 | CAN | No | 207 Lbs | 6 ft8 | No | No | Assign Manually | No | No | 2 | 2025-09-28 | False | False | Pro & Farm | 3,335,600$ | 3,335,600$ | 3,335,600$ | No | 3,335,600$ | - | - | - | - | - | - | - | - | 3,335,600$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Justice Wang | Orcas | RW | 25 | 2003-04-23 | CAN | No | 225 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 2 | 2025-09-28 | False | False | Pro & Farm | 3,450,606$ | 3,450,606$ | 3,450,606$ | No | 3,450,606$ | - | - | - | - | - | - | - | - | 3,450,606$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Keegan Ramkema | Orcas | RW | 32 | 1996-11-13 | CAN | No | 195 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2026-05-03 | False | False | Pro & Farm | 6,166,263$ | 6,166,263$ | 6,166,263$ | No | 6,166,263$ | 6,166,263$ | - | - | - | - | - | - | - | 6,166,263$ | 6,166,263$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Leonard Bjorklund | Orcas | LW | 31 | 1997-09-23 | SWE | No | 219 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 1 | 2025-02-01 | False | False | Pro & Farm | 2,000,892$ | 2,000,892$ | 2,000,892$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Mangjeol Su-Cheol | Orcas | G | 34 | 1994-08-28 | KOR | No | 217 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2026-05-02 | False | False | Pro & Farm | 4,200,571$ | 4,200,571$ | 4,200,571$ | No | 4,200,571$ | - | - | - | - | - | - | - | - | 4,200,571$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Max Cooper | Orcas | D | 19 | 2009-07-18 | GER | Yes | 226 Lbs | 6 ft8 | No | No | Assign Manually | No | No | 2 | 2025-10-09 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Mikko-Matti Forsblad | Orcas | C | 35 | 1993-07-21 | FIN | No | 188 Lbs | 5 ft7 | No | No | Assign Manually | No | No | 1 | 2026-05-03 | False | False | Pro & Farm | 2,700,618$ | 2,700,618$ | 2,700,618$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Qi Chongkun | Orcas | D | 21 | 2007-05-23 | CHN | No | 183 Lbs | 5 ft11 | No | No | Draft | No | No | 1 | 2025-02-25 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Reeti Tiitinen | Orcas | D | 31 | 1997-12-25 | FIN | No | 198 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 3 | 2025-09-28 | False | False | Pro & Farm | 4,986,000$ | 4,986,000$ | 4,986,000$ | No | 4,986,000$ | 4,986,000$ | - | - | - | - | - | - | - | 4,986,000$ | 4,986,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Sixten Angstrom | Orcas | D | 29 | 1999-06-16 | SWE | No | 169 Lbs | 5 ft8 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,829,000$ | 1,829,000$ | 1,829,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Srebrenko Cvitanovic | Orcas | C | 32 | 1996-10-18 | CRO | No | 184 Lbs | 5 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,694,846$ | 3,694,846$ | 3,694,846$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Wilhelm Norden | Orcas | D | 33 | 1995-10-03 | SWE | No | 169 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 1 | 2026-05-03 | False | False | Pro & Farm | 2,342,151$ | 2,342,151$ | 2,342,151$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 19 | 28.05 | 195 Lbs | 6 ft0 | 2.05 | 2,910,009$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 55,290,178$ | 36,889,564$ | 20,937,787$ | 6,490,524$ | 0$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | David Manno | Srebrenko Cvitanovic | Keegan Ramkema | 35 | 0 | 2 | 3 |
| 2 | Jamal Gratton | Antonio Macphedron | Justice Wang | 25 | 1 | 2 | 2 |
| 3 | Mikko-Matti Forsblad | Leonard Bjorklund | 22 | 1 | 2 | 2 | |
| 4 | Alec Welsford | Srebrenko Cvitanovic | Keegan Ramkema | 18 | 0 | 3 | 2 |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Reeti Tiitinen | Sixten Angstrom | 38 | 0 | 4 | 1 | |
| 2 | Carey Griffiths | Qi Chongkun | 35 | 0 | 4 | 1 | |
| 3 | Max Cooper | Wilhelm Norden | 22 | 0 | 5 | 0 | |
| 4 | Qi Chongkun | Reeti Tiitinen | 5 | 0 | 4 | 1 | |
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Jamal Gratton | Srebrenko Cvitanovic | Keegan Ramkema | 50 | 0 | 0 | 5 |
| 2 | David Manno | Alec Welsford | Justice Wang | 50 | 0 | 0 | 5 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Reeti Tiitinen | Sixten Angstrom | 50 | 0 | 1 | 4 | |
| 2 | Qi Chongkun | Carey Griffiths | 50 | 0 | 1 | 4 | |
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Srebrenko Cvitanovic | David Manno | 50 | 1 | 4 | 0 |
| 2 | Alec Welsford | Justice Wang | 50 | 1 | 4 | 0 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Qi Chongkun | Reeti Tiitinen | 50 | 1 | 4 | 0 |
| 2 | Carey Griffiths | Max Cooper | 50 | 1 | 4 | 0 |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Mikko-Matti Forsblad | 50 | 1 | 4 | 0 | Sixten Angstrom | Carey Griffiths | 50 | 1 | 4 | 0 |
| 2 | Srebrenko Cvitanovic | 50 | 1 | 4 | 0 | Reeti Tiitinen | Qi Chongkun | 50 | 1 | 4 | 0 |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Srebrenko Cvitanovic | Keegan Ramkema | 50 | 0 | 2 | 3 |
| 2 | Justice Wang | Jamal Gratton | 50 | 0 | 2 | 3 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Reeti Tiitinen | Carey Griffiths | 52 | 0 | 3 | 2 |
| 2 | Sixten Angstrom | Max Cooper | 48 | 0 | 3 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Jamal Gratton | Srebrenko Cvitanovic | Keegan Ramkema | Reeti Tiitinen | Carey Griffiths |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Justice Wang | Srebrenko Cvitanovic | Keegan Ramkema | Reeti Tiitinen | Sixten Angstrom |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Keegan Ramkema, Srebrenko Cvitanovic, Jamal Gratton | Keegan Ramkema, Srebrenko Cvitanovic | Mikko-Matti Forsblad |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Reeti Tiitinen, Sixten Angstrom, Carey Griffiths | Reeti Tiitinen | Reeti Tiitinen, Carey Griffiths |
| Penalty Shots |
|---|
| Alec Welsford, Justice Wang, , Jamal Gratton, Jake Corbin |
| Goalie |
|---|
| #1 : Mangjeol Su-Cheol, #2 : Jessey Tarasuk |
| Custom OT Lines Forwards |
|---|
| Keegan Ramkema, Justice Wang, Jamal Gratton, Srebrenko Cvitanovic, Antonio Macphedron, David Manno, Mikko-Matti Forsblad, Alec Welsford, , Jake Corbin |
| Custom OT Lines Defensemen |
|---|
| Reeti Tiitinen, Sixten Angstrom, Carey Griffiths, Qi Chongkun, Max Cooper |
| 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | 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 | RI |
| 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 |
|---|
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 110 | 65 | 40 | 30 | 200 |
| Attendance | 0% | 0% | 0% | 0% | 0% |
| Attendance PCT | 0% | 0% | 0% | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 40 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
| Expenses | ||||
|---|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
| 0$ | 55,290,178$ | 55,290,178$ | 1,000,000$0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 0$ | 0$ | 0$ | 19 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| Team Total Estimate | ||
|---|---|---|
| Estimated Season Expenses | Current Bank Account | Projected Bank Account |
| 0$ | 116,366,143$ | 116,366,143$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 0$ | 59,000,000$ | 59,000,000$ | -26,000,000$ |
| Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
|---|---|---|---|---|---|---|
| Ben Heidrich | Orcas | 5 | 95 | |||
| Denis Baranov | Orcas | 5 | 119 | |||
| Jan Kriselnden | Orcas | 5 | 116 | |||
| Kai Boutet | Orcas | 4 | 30 | |||
| Richard Kocka | Orcas | 5 | 71 |
| Year | R1 | R2 | R3 | R4 | R5 |
|---|---|---|---|---|---|
| 6 | | | | | |
| 7 | | | | | |
| 8 | | | | | |
| 9 | | | | | |
| 10 | | | | | |
| Conditional Draft Picks | |||||
| # | 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 | Keegan Ramkema | 393 | 202 | 197 | 399 | 9 | 377 | 730 | 492 | 1577 | 12.81% | 216 | 7605 | 19.35 | 26 | 37 | 63 | 117 | 0 | 0 | 0 | 0 | 39 | 14 | 36.49% | 5 | 1.05 | 8 | 35 |
| 2 | Srebrenko Cvitanovic | 376 | 130 | 214 | 344 | 39 | 248 | 745 | 638 | 1200 | 10.83% | 166 | 7296 | 19.41 | 15 | 47 | 62 | 89 | 6 | 3 | 9 | 28 | 17 | 12 | 50.56% | 1 | 0.94 | 3 | 5 |
| 3 | Mikko-Matti Forsblad | 346 | 111 | 137 | 248 | 13 | 153 | 654 | 472 | 955 | 11.62% | 143 | 5225 | 15.10 | 3 | 15 | 18 | 28 | 2 | 1 | 3 | 8 | 16 | 9 | 43.09% | 1 | 0.95 | 1 | 5 |
| 4 | Justice Wang | 315 | 89 | 125 | 214 | -14 | 24 | 518 | 469 | 862 | 10.32% | 141 | 5526 | 17.54 | 13 | 24 | 37 | 53 | 4 | 0 | 4 | 20 | 9 | 8 | 37.13% | 1 | 0.77 | 0 | 6 |
| 5 | Jamal Gratton | 350 | 85 | 109 | 194 | -2 | 141 | 699 | 269 | 878 | 9.68% | 108 | 5590 | 15.97 | 9 | 10 | 19 | 35 | 1 | 0 | 1 | 5 | 12 | 6 | 48.15% | 3 | 0.69 | 2 | 8 |
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mangjeol Su-Cheol | 238 | 121 | 88 | 26 | 0.919 | 2.85 | 13937 | 34 | 4 | 663 | 8234 | 3832 | 11 | 6 | 0.600 | 65 |
| 2 | Jessey Tarasuk | 107 | 56 | 35 | 11 | 0.913 | 3.07 | 6279 | 2 | 0 | 321 | 3709 | 2192 | 6 | 0 | 0.780 | 41 |
| 3 | Yefim Rogozhkin | 39 | 15 | 13 | 5 | 0.909 | 3.31 | 2175 | 2 | 0 | 120 | 1315 | 799 | 3 | 1 | 0.571 | 14 |
| 4 | Vladislav Stasenko | 28 | 9 | 10 | 7 | 0.903 | 3.63 | 1603 | 2 | 1 | 97 | 1000 | 590 | 1 | 0 | 0.529 | 17 |
| 5 | Ferdinand Godbey | 5 | 2 | 2 | 0 | 0.914 | 2.93 | 266 | 0 | 0 | 13 | 151 | 70 | 2 | 0 | 0 | 0 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 27 | 30 | 0 | 5 | 6 | 6 | 6 | 262 | 258 | 4 | 40 | 16 | 11 | 0 | 3 | 2 | 3 | 5 | 138 | 122 | 16 | 40 | 11 | 19 | 0 | 2 | 4 | 3 | 1 | 124 | 136 | -12 | 88 | 262 | 416 | 678 | 0 | 0 | 79 | 82 | 90 | 19 | 2758 | 904 | 914 | 894 | 88 | 2956 | 972 | 486 | 1760 | 158 | 34 | 21.52% | 117 | 22 | 81.20% | 2 | 881 | 1783 | 49.41% | 860 | 1776 | 48.42% | 635 | 1243 | 51.09% | 1729 | 1033 | 1775 | 691 | 1379 | 694 |
| 2 | 80 | 38 | 26 | 0 | 6 | 3 | 3 | 4 | 284 | 246 | 38 | 40 | 16 | 14 | 0 | 4 | 1 | 2 | 3 | 142 | 126 | 16 | 40 | 22 | 12 | 0 | 2 | 2 | 1 | 1 | 142 | 120 | 22 | 101 | 284 | 476 | 760 | 5 | 1 | 71 | 104 | 100 | 12 | 2676 | 909 | 915 | 826 | 49 | 2848 | 1001 | 573 | 1895 | 159 | 33 | 20.75% | 113 | 23 | 79.65% | 7 | 826 | 1774 | 46.56% | 845 | 1855 | 45.55% | 586 | 1274 | 46.00% | 1722 | 1015 | 1742 | 686 | 1388 | 712 |
| 3 | 80 | 26 | 32 | 0 | 5 | 8 | 1 | 8 | 228 | 252 | -24 | 40 | 17 | 13 | 0 | 2 | 3 | 1 | 4 | 122 | 118 | 4 | 40 | 9 | 19 | 0 | 3 | 5 | 0 | 4 | 106 | 134 | -28 | 80 | 228 | 368 | 596 | 1 | 2 | 54 | 86 | 82 | 8 | 2542 | 834 | 854 | 816 | 65 | 2902 | 949 | 662 | 1741 | 156 | 28 | 17.95% | 160 | 19 | 88.13% | 1 | 769 | 1717 | 44.79% | 859 | 1868 | 45.99% | 537 | 1168 | 45.98% | 1667 | 957 | 1792 | 707 | 1413 | 716 |
| 4 | 80 | 35 | 31 | 0 | 4 | 4 | 4 | 2 | 246 | 244 | 2 | 40 | 17 | 16 | 0 | 2 | 2 | 3 | 0 | 112 | 116 | -4 | 40 | 18 | 15 | 0 | 2 | 2 | 1 | 2 | 134 | 128 | 6 | 92 | 246 | 400 | 646 | 1 | 1 | 60 | 86 | 92 | 13 | 2492 | 757 | 859 | 855 | 44 | 2881 | 908 | 664 | 1806 | 145 | 37 | 25.52% | 194 | 31 | 84.02% | 2 | 731 | 1682 | 43.46% | 831 | 1853 | 44.85% | 507 | 1146 | 44.24% | 1656 | 961 | 1816 | 706 | 1371 | 682 |
| 5 | 80 | 33 | 29 | 0 | 8 | 4 | 2 | 4 | 261 | 245 | 16 | 40 | 14 | 16 | 0 | 4 | 2 | 1 | 3 | 128 | 122 | 6 | 40 | 19 | 13 | 0 | 4 | 2 | 1 | 1 | 133 | 123 | 10 | 94 | 261 | 422 | 683 | 0 | 1 | 70 | 92 | 89 | 13 | 2677 | 883 | 886 | 884 | 48 | 2829 | 917 | 680 | 1771 | 134 | 21 | 15.67% | 196 | 40 | 79.59% | 4 | 890 | 1790 | 49.72% | 871 | 1804 | 48.28% | 594 | 1173 | 50.64% | 1710 | 1016 | 1760 | 699 | 1376 | 683 |
| Total Regular Season | 400 | 159 | 148 | 0 | 28 | 25 | 16 | 24 | 1281 | 1245 | 36 | 200 | 80 | 70 | 0 | 15 | 10 | 10 | 15 | 642 | 604 | 38 | 200 | 79 | 78 | 0 | 13 | 15 | 6 | 9 | 639 | 641 | -2 | 455 | 1281 | 2082 | 3363 | 7 | 5 | 334 | 450 | 453 | 65 | 13145 | 4287 | 4428 | 4275 | 294 | 14416 | 4747 | 3065 | 8973 | 752 | 153 | 20.35% | 780 | 135 | 82.69% | 16 | 4097 | 8746 | 46.84% | 4266 | 9156 | 46.59% | 2859 | 6004 | 47.62% | 8486 | 4985 | 8886 | 3491 | 6929 | 3489 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2 | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 30 | 44 | -14 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 17 | 23 | -6 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 21 | -8 | 10 | 30 | 52 | 82 | 0 | 0 | 7 | 11 | 9 | 3 | 415 | 142 | 123 | 130 | 20 | 482 | 170 | 73 | 311 | 32 | 5 | 15.63% | 14 | 3 | 78.57% | 0 | 119 | 296 | 40.20% | 109 | 304 | 35.86% | 54 | 165 | 32.73% | 268 | 162 | 278 | 104 | 209 | 105 |
| 4 | 27 | 15 | 12 | 0 | 0 | 0 | 0 | 0 | 88 | 85 | 3 | 13 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 44 | 35 | 9 | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 44 | 50 | -6 | 30 | 88 | 148 | 236 | 1 | 1 | 22 | 36 | 25 | 5 | 839 | 249 | 287 | 263 | 40 | 980 | 376 | 221 | 581 | 33 | 6 | 18.18% | 78 | 10 | 87.18% | 1 | 232 | 563 | 41.21% | 296 | 700 | 42.29% | 196 | 412 | 47.57% | 566 | 322 | 626 | 246 | 488 | 243 |
| 5 | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 29 | 29 | 0 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 12 | 29 | 48 | 77 | 0 | 1 | 10 | 10 | 8 | 1 | 336 | 119 | 118 | 94 | 5 | 390 | 126 | 83 | 228 | 15 | 4 | 26.67% | 29 | 5 | 82.76% | 3 | 135 | 254 | 53.15% | 148 | 288 | 51.39% | 80 | 164 | 48.78% | 228 | 135 | 252 | 100 | 187 | 91 |
| Total Playoff | 50 | 26 | 24 | 0 | 0 | 0 | 0 | 0 | 147 | 158 | -11 | 25 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | 76 | 68 | 8 | 25 | 10 | 15 | 0 | 0 | 0 | 0 | 0 | 71 | 90 | -19 | 52 | 147 | 248 | 395 | 1 | 2 | 39 | 57 | 42 | 9 | 1590 | 510 | 528 | 487 | 65 | 1852 | 672 | 377 | 1120 | 80 | 15 | 18.75% | 121 | 18 | 85.12% | 4 | 486 | 1113 | 43.67% | 553 | 1292 | 42.80% | 330 | 741 | 44.53% | 1064 | 619 | 1157 | 450 | 886 | 440 |
| # | 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 | Keegan Ramkema | 50 | 29 | 26 | 55 | 0 | 29 | 103 | 72 | 225 | 12.89% | 28 | 1023 | 20.47 | 6 | 1 | 7 | 10 | 0 | 0 | 0 | 0 | 2 | 0 | 32.14% | 0 | 1.07 | 0 | 0 |
| 2 | Justice Wang | 50 | 16 | 25 | 41 | -1 | 2 | 93 | 65 | 118 | 13.56% | 33 | 986 | 19.73 | 1 | 4 | 5 | 3 | 1 | 0 | 1 | 4 | 2 | 1 | 35.17% | 0 | 0.83 | 0 | 0 |
| 3 | Srebrenko Cvitanovic | 50 | 15 | 22 | 37 | 2 | 24 | 116 | 86 | 137 | 10.95% | 19 | 1024 | 20.49 | 0 | 6 | 6 | 7 | 0 | 0 | 0 | 5 | 2 | 1 | 46.52% | 0 | 0.72 | 0 | 0 |
| 4 | Mikko-Matti Forsblad | 50 | 16 | 15 | 31 | -7 | 24 | 90 | 69 | 130 | 12.31% | 31 | 786 | 15.74 | 1 | 2 | 3 | 1 | 1 | 0 | 1 | 3 | 2 | 2 | 39.50% | 1 | 0.79 | 0 | 0 |
| 5 | Leonard Bjorklund | 50 | 11 | 16 | 27 | -12 | 50 | 85 | 61 | 104 | 10.58% | 13 | 767 | 15.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 36.67% | 0 | 0.70 | 0 | 0 |
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mangjeol Su-Cheol | 43 | 21 | 17 | 4 | 0.913 | 3.08 | 2594 | 2 | 1 | 133 | 1537 | 709 | 1 | 1 | 0 | 0 |
| 2 | Jessey Tarasuk | 10 | 5 | 3 | 0 | 0.924 | 2.83 | 509 | 0 | 1 | 24 | 314 | 184 | 1 | 0 | 0 | 0 |