![]() | Harfang |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Gabriel Bossé | Morale : 50 | Team Overall : 78 |
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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 | Dillon Salerno (C) | 11 | X | 100.00 | 79 | 32 | 61 | 99 | 99 | 67 | 81 | 90 | 90 | 69 | 98 | 97 | 59 | 58 | 46 | 45 | 50 | 85 | 0 | 26 | 4 | 3,345,641$ | |||||
2 | Brentt Bing (A) | 24 | X | 100.00 | 70 | 67 | 65 | 87 | 94 | 84 | 61 | 93 | 73 | 83 | 92 | 82 | 89 | 54 | 95 | 29 | 50 | 82 | 0 | 30 | 3 | 3,500,000$ | |||||
3 | Juha-Pekka Kaukola | 78 | X | 100.00 | 80 | 47 | 81 | 95 | 76 | 86 | 81 | 91 | 55 | 46 | 91 | 87 | 95 | 52 | 82 | 1 | 50 | 78 | 0 | 36 | 1 | 2,700,000$ | |||||
4 | Anton Lebed | 0 | X | 100.00 | 87 | 64 | 83 | 90 | 99 | 81 | 64 | 91 | 68 | 76 | 55 | 59 | 64 | 68 | 62 | 31 | 50 | 77 | 0 | 29 | 1 | 735,000$ | |||||
5 | Abram Korolyuk | 21 | X | 100.00 | 50 | 67 | 67 | 93 | 83 | 79 | 90 | 94 | 52 | 79 | 47 | 84 | 39 | 52 | 63 | 28 | 50 | 77 | 0 | 30 | 2 | 1,380,000$ | |||||
6 | Piers Grinlee (R) | 0 | X | 100.00 | 68 | 59 | 85 | 88 | 77 | 64 | 84 | 89 | 45 | 61 | 46 | 53 | 55 | 77 | 32 | 54 | 50 | 69 | 0 | 23 | 3 | 1,500,000$ | |||||
7 | Ty Godfrey (R) | 0 | X | 100.00 | 68 | 61 | 66 | 80 | 61 | 77 | 58 | 82 | 61 | 68 | 73 | 28 | 83 | 77 | 76 | 79 | 50 | 66 | 0 | 20 | 2 | 800,000$ | |||||
8 | Elijah Sanner (A) | 77 | X | 100.00 | 89 | 51 | 99 | 98 | 99 | 97 | 86 | 99 | 25 | 94 | 45 | 94 | 91 | 37 | 56 | 29 | 50 | 90 | 0 | 29 | 1 | 1,250,000$ | |||||
9 | Ikki Miyamae | 2 | X | 100.00 | 95 | 56 | 70 | 95 | 99 | 99 | 62 | 71 | 25 | 64 | 45 | 99 | 89 | 81 | 41 | 31 | 50 | 83 | 0 | 30 | 2 | 3,000,000$ | |||||
10 | Quinn Mccann | 0 | X | 100.00 | 72 | 56 | 60 | 99 | 99 | 93 | 78 | 89 | 25 | 68 | 39 | 89 | 97 | 92 | 42 | 36 | 50 | 81 | 0 | 29 | 1 | 1,040,000$ | |||||
Scratches | |||||||||||||||||||||||||||||||
1 | Jordie Daley | 22 | X | 100.00 | 97 | 50 | 87 | 90 | 88 | 69 | 84 | 93 | 93 | 64 | 82 | 96 | 60 | 63 | 50 | 7 | 50 | 84 | 0 | 35 | 1 | 4,680,000$ | |||||
2 | Austen Hollman | 16 | X | 100.00 | 67 | 41 | 93 | 91 | 97 | 67 | 68 | 98 | 54 | 65 | 78 | 90 | 86 | 42 | 80 | 64 | 50 | 79 | 0 | 24 | 5 | 3,070,000$ | |||||
3 | Isiah Bruton (R) | 18 | X | 100.00 | 54 | 56 | 90 | 99 | 92 | 98 | 75 | 92 | 93 | 83 | 47 | 44 | 51 | 51 | 44 | 69 | 50 | 79 | 0 | 22 | 5 | 2,900,000$ | |||||
4 | Conrad Montebruno (R) | 29 | X | 100.00 | 40 | 46 | 62 | 94 | 76 | 67 | 76 | 93 | 47 | 96 | 72 | 81 | 61 | 81 | 29 | 63 | 50 | 78 | 0 | 24 | 5 | 2,090,000$ | |||||
5 | Devon Guptill | 55 | X | 100.00 | 50 | 41 | 65 | 98 | 80 | 68 | 96 | 98 | 86 | 52 | 60 | 78 | 65 | 52 | 53 | 33 | 50 | 76 | 0 | 30 | 1 | 1,150,000$ | |||||
6 | Tim Humonen | 28 | X | 100.00 | 58 | 58 | 95 | 95 | 71 | 66 | 60 | 86 | 91 | 58 | 63 | 88 | 77 | 40 | 60 | 9 | 50 | 74 | 0 | 33 | 3 | 1,330,000$ | |||||
7 | Paeng Jeong-U | 27 | X | 100.00 | 39 | 58 | 66 | 86 | 94 | 83 | 67 | 93 | 57 | 66 | 80 | 50 | 71 | 61 | 75 | 1 | 50 | 73 | 0 | 37 | 1 | 1,605,000$ | |||||
8 | Jesse Podloski | 95 | X | 100.00 | 93 | 60 | 55 | 96 | 60 | 60 | 66 | 90 | 68 | 65 | 85 | 60 | 70 | 56 | 37 | 58 | 50 | 72 | 0 | 24 | 1 | 2,000,000$ | |||||
9 | Durham Hopley | 4 | X | 100.00 | 50 | 62 | 74 | 89 | 96 | 92 | 71 | 86 | 25 | 82 | 34 | 99 | 91 | 62 | 27 | 74 | 50 | 80 | 0 | 21 | 5 | 2,650,000$ | |||||
10 | Onni Tuomanen | 0 | X | 100.00 | 89 | 66 | 88 | 78 | 68 | 97 | 94 | 98 | 25 | 54 | 52 | 80 | 87 | 37 | 96 | 25 | 50 | 79 | 0 | 30 | 2 | 2,550,000$ | |||||
11 | Chipper Sammons | 90 | X | 100.00 | 44 | 42 | 65 | 88 | 60 | 97 | 70 | 98 | 25 | 91 | 68 | 99 | 80 | 97 | 64 | 1 | 50 | 76 | 0 | 39 | 1 | 2,650,000$ | |||||
TEAM AVERAGE | 100.00 | 69 | 54 | 75 | 92 | 84 | 81 | 75 | 91 | 56 | 71 | 64 | 78 | 74 | 61 | 58 | 37 | 50 | 78 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | |||||||||||||||||||||||||
1 | Leon Campaner | 31 | 100.00 | 82 | 89 | 75 | 83 | 95 | 89 | 89 | 80 | 94 | 69 | 90 | 66 | 51 | 53 | 50 | 84 | 0 | 24 | 5 | 3,300,000$ | ||
TEAM AVERAGE | 100.00 | 82 | 89 | 75 | 83 | 95 | 89 | 89 | 80 | 94 | 69 | 90 | 66 | 51 | 53 | 50 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Matt Binns | 55 | 74 | 83 | 87 | 50 | 76 | 76 | USA | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Abram Korolyuk | ![]() | LW | 30 | 1997-05-13 | RUS | No | 176 Lbs | 5 ft5 | No | No | Assign Manually | No | No | 2 | 2025-02-01 | False | False | Pro & Farm | 1,380,000$ | 1,380,000$ | 1,380,000$ | No | 1,380,000$ | - | - | - | - | - | - | - | - | 1,380,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Anton Lebed | ![]() | RW | 29 | 1998-03-14 | RUS | No | 213 Lbs | 6 ft2 | No | No | Trade | 2025-05-26 | No | No | 1 | False | False | Pro & Farm | 735,000$ | 735,000$ | 735,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Austen Hollman | ![]() | LW | 24 | 2003-10-11 | CAN | No | 208 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 3,070,000$ | 3,070,000$ | 3,070,000$ | No | 3,070,000$ | 3,070,000$ | 3,070,000$ | 3,070,000$ | - | - | - | - | - | 3,070,000$ | 3,070,000$ | 3,070,000$ | 3,070,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Brentt Bing | ![]() | RW | 30 | 1997-05-04 | USA | No | 185 Lbs | 5 ft9 | No | No | N/A | No | No | 3 | 2024-06-03 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Chipper Sammons | ![]() | D | 39 | 1988-04-01 | USA | No | 210 Lbs | 6 ft0 | No | No | Assign Manually | 2024-11-17 | No | No | 1 | 2025-09-28 | False | False | Pro & Farm | 2,650,000$ | 2,650,000$ | 2,650,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Conrad Montebruno | ![]() | LW | 24 | 2003-09-03 | CAN | Yes | 165 Lbs | 5 ft9 | No | No | Assign Manually | 2024-11-13 | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 2,090,000$ | 2,090,000$ | 2,090,000$ | No | 2,090,000$ | 2,090,000$ | 2,090,000$ | 2,090,000$ | - | - | - | - | - | 2,090,000$ | 2,090,000$ | 2,090,000$ | 2,090,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
Devon Guptill | ![]() | C | 30 | 1997-01-28 | CAN | No | 232 Lbs | 6 ft7 | No | No | Trade | 2025-02-25 | No | No | 1 | 2025-02-01 | False | False | Pro & Farm | 1,150,000$ | 1,150,000$ | 1,150,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Dillon Salerno | ![]() | C | 26 | 2001-08-07 | CAN | No | 203 Lbs | 6 ft8 | No | No | Assign Manually | No | No | 4 | 2025-02-01 | False | False | Pro & Farm | 3,345,641$ | 3,345,641$ | 3,345,641$ | No | 3,345,641$ | 3,345,641$ | 3,345,641$ | - | - | - | - | - | - | 3,345,641$ | 3,345,641$ | 3,345,641$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Durham Hopley | ![]() | D | 21 | 2006-03-24 | USA | No | 195 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 2,650,000$ | 2,650,000$ | 2,650,000$ | No | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | - | - | - | - | - | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Elijah Sanner | ![]() | D | 29 | 1998-08-23 | USA | No | 167 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ikki Miyamae | ![]() | D | 30 | 1997-05-08 | JPN | No | 188 Lbs | 5 ft8 | No | No | Trade | 2025-03-10 | No | No | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Isiah Bruton | ![]() | C | 22 | 2005-05-13 | USA | Yes | 184 Lbs | 6 ft1 | No | No | Assign Manually | 2024-02-12 | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 2,900,000$ | 2,900,000$ | 2,900,000$ | No | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | - | - | - | - | - | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
Jesse Podloski | ![]() | RW | 24 | 2003-10-25 | CAN | No | 188 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jordie Daley | ![]() | RW | 35 | 1992-07-15 | CAN | No | 244 Lbs | 6 ft6 | No | No | Assign Manually | 2024-11-13 | No | No | 1 | 2025-09-28 | False | False | Pro & Farm | 4,680,000$ | 4,680,000$ | 4,680,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Juha-Pekka Kaukola | ![]() | LW | 36 | 1991-07-19 | FIN | No | 233 Lbs | 6 ft7 | No | No | Assign Manually | 2024-11-17 | No | No | 1 | 2025-02-01 | False | False | Pro & Farm | 2,700,000$ | 2,700,000$ | 2,700,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Leon Campaner | ![]() | G | 24 | 2003-03-06 | CAN | No | 180 Lbs | 5 ft9 | No | No | Assign Manually | 2024-10-31 | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 3,300,000$ | 3,300,000$ | 3,300,000$ | No | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | - | - | - | - | - | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
Onni Tuomanen | ![]() | D | 30 | 1997-09-08 | FIN | No | 190 Lbs | 5 ft8 | No | No | Assign Manually | 2025-06-29 | No | No | 2 | 2025-09-28 | False | False | Pro & Farm | 2,550,000$ | 2,550,000$ | 2,550,000$ | No | 2,550,000$ | - | - | - | - | - | - | - | - | 2,550,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Paeng Jeong-U | ![]() | LW | 37 | 1990-05-01 | KOR | No | 242 Lbs | 6 ft8 | No | No | Assign Manually | No | No | 1 | 2025-09-28 | False | False | Pro & Farm | 1,605,000$ | 1,605,000$ | 1,605,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Piers Grinlee | ![]() | LW | 23 | 2004-05-16 | USA | Yes | 206 Lbs | 6 ft5 | No | No | Free Agent | No | No | 3 | 2024-07-10 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Quinn Mccann | ![]() | D | 29 | 1998-03-12 | CAN | No | 219 Lbs | 6 ft2 | No | No | Trade | 2025-06-29 | No | No | 1 | False | False | Pro & Farm | 1,040,000$ | 1,040,000$ | 1,040,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Tim Humonen | ![]() | C | 33 | 1994-01-10 | FIN | No | 191 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 3 | 2025-09-28 | False | False | Pro & Farm | 1,330,000$ | 1,330,000$ | 1,330,000$ | No | 1,330,000$ | 1,330,000$ | - | - | - | - | - | - | - | 1,330,000$ | 1,330,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Ty Godfrey | ![]() | RW | 20 | 2007-01-08 | USA | Yes | 250 Lbs | 6 ft5 | No | No | Free Agent | No | No | 2 | 2025-02-21 | False | False | Pro & Farm | 800,000$ | 800,000$ | 800,000$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 28.41 | 203 Lbs | 6 ft1 | 2.50 | 2,237,529$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
49,225,641$ | 31,415,641$ | 23,685,641$ | 17,355,641$ | 14,010,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Juha-Pekka Kaukola | Dillon Salerno | 32 | 0 | 2 | 3 | |
2 | Brentt Bing | 32 | 0 | 2 | 3 | ||
3 | Abram Korolyuk | 31 | 0 | 2 | 3 | ||
4 | Piers Grinlee | Dillon Salerno | Anton Lebed | 5 | 0 | 2 | 3 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Elijah Sanner | Ikki Miyamae | 35 | 0 | 3 | 2 | |
2 | Quinn Mccann | 35 | 0 | 3 | 2 | ||
3 | 25 | 0 | 3 | 2 | |||
4 | Elijah Sanner | Ikki Miyamae | 5 | 0 | 3 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Juha-Pekka Kaukola | Dillon Salerno | 50 | 1 | 0 | 4 | |
2 | Brentt Bing | 50 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Elijah Sanner | Ikki Miyamae | 50 | 0 | 0 | 5 | |
2 | Quinn Mccann | 50 | 0 | 0 | 5 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Dillon Salerno | Juha-Pekka Kaukola | 50 | 1 | 4 | 0 |
2 | 50 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Elijah Sanner | Ikki Miyamae | 50 | 1 | 4 | 0 |
2 | Quinn Mccann | 50 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Dillon Salerno | 50 | 2 | 3 | 0 | Elijah Sanner | Ikki Miyamae | 50 | 2 | 3 | 0 |
2 | 50 | 2 | 3 | 0 | Quinn Mccann | 50 | 2 | 3 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Dillon Salerno | Juha-Pekka Kaukola | 50 | 1 | 2 | 2 |
2 | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Elijah Sanner | Ikki Miyamae | 50 | 1 | 2 | 2 |
2 | Quinn Mccann | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Juha-Pekka Kaukola | Dillon Salerno | Elijah Sanner | Ikki Miyamae |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Juha-Pekka Kaukola | Dillon Salerno | Elijah Sanner | Ikki Miyamae |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Juha-Pekka Kaukola, , | Juha-Pekka Kaukola, | Juha-Pekka Kaukola |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
---|
, Dillon Salerno, Brentt Bing, , Juha-Pekka Kaukola |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, Dillon Salerno, Brentt Bing, , Juha-Pekka Kaukola, , , Anton Lebed, Abram Korolyuk, |
Custom OT Lines Defensemen |
---|
Elijah Sanner, Ikki Miyamae, Quinn Mccann, , |
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 ) |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
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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 |
---|
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 | 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$ | 49,225,641$ | 49,225,641$ | 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$ | 22 | 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$ | 74,175,777$ | 74,175,777$ |
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 |
---|---|---|---|---|---|---|
Dalen Latour | ![]() | 5 | 101 | |||
Fabian Schroer | ![]() | 5 | 113 | |||
Hans Knudsen | ![]() | 5 | 66 | |||
Havard Evenrud | ![]() | 5 | 50 | |||
Kalle Winter | ![]() | 5 | 84 | |||
Maksim Zadoyanny | ![]() | 5 | 32 | |||
Timotej Mahkovic | ![]() | 5 | 42 |
Year | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
5 | ![]() | ![]() ![]() ![]() | ![]() ![]() | ![]() | ![]() ![]() |
6 | ![]() | ![]() ![]() | ![]() | ![]() | |
7 | ![]() | ![]() | ![]() | ||
8 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
9 | ![]() | ![]() | ![]() | ![]() | ![]() |
Conditional Draft Picks |
Le grand jour est arrivé, ce matin se met en marche le premier camp d’entraînement de la nouvelle équipe des Harfang de Québec. Le repêchage inaugural c’est terminé hier soir et les jours sont en ville pour donner leurs premiers coups de patin et pour les tests physiques.
Avec un repêchage axé sur la jeunesse, beaucoup de jeunes voudront prouver qu’ils sont prêts pour la grande ligue. Certains vétérans invités au camp tenteront de brouiller les cartes et de se mériter un poste.
Le groupe d’entraîneur sera complété sous peu et les nouveaux chandails seront également révélés cette semaine.
Today is the day, this morning is the first day of training camp for the new team; Les Harfang de Québec. The inaugural draft is now over, and all the players are in town for their physical and to jump on the ice.
With a draft focusing on young players, they will try to prove that they belong to the big league. The team also invited some veterans for a try-out during the camp and they will try to earn a spot with the Harfang.
The training staff will be completed shortly, and the new jerseys will be revealed soon.
# | 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 | Brentt Bing | 308 | 107 | 149 | 256 | 37 | 354 | 476 | 359 | 1017 | 10.52% | 115 | 5456 | 17.72 | 17 | 28 | 45 | 88 | 0 | 0 | 0 | 0 | 11 | 10 | 43.55% | 1 | 0.94 | 8 | 14 |
2 | Dillon Salerno | 291 | 116 | 119 | 235 | 39 | 117 | 626 | 512 | 844 | 13.74% | 118 | 5104 | 17.54 | 17 | 25 | 42 | 65 | 0 | 0 | 0 | 0 | 22 | 6 | 50.19% | 4 | 0.92 | 0 | 8 |
3 | Elijah Sanner | 309 | 43 | 176 | 219 | 11 | 57 | 616 | 604 | 699 | 6.15% | 502 | 7750 | 25.08 | 12 | 21 | 33 | 58 | 0 | 3 | 3 | 4 | 9 | 5 | 0% | 0 | 0.57 | 11 | 22 |
4 | Abram Korolyuk | 287 | 55 | 110 | 165 | -2 | 155 | 218 | 336 | 732 | 7.51% | 122 | 4619 | 16.10 | 3 | 9 | 12 | 24 | 0 | 0 | 0 | 5 | 7 | 4 | 33.46% | 0 | 0.71 | 0 | 0 |
5 | Josef Dolnicek | 160 | 64 | 79 | 143 | 0 | 56 | 209 | 135 | 558 | 11.47% | 46 | 2821 | 17.64 | 7 | 17 | 24 | 35 | 1 | 1 | 2 | 1 | 12 | 6 | 44.29% | 1 | 1.01 | 3 | 8 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leon Campaner | 92 | 48 | 33 | 5 | 0.920 | 2.83 | 5157 | 2 | 1 | 243 | 3052 | 1407 | 5 | 4 | 0.800 | 30 |
2 | Stephane Wazasnik | 93 | 47 | 29 | 9 | 0.922 | 2.66 | 5379 | 2 | 0 | 238 | 3058 | 1323 | 4 | 0 | 0.676 | 34 |
3 | Ludvik Lyngmo | 62 | 31 | 18 | 9 | 0.911 | 3.08 | 3541 | 2 | 0 | 182 | 2053 | 989 | 6 | 1 | 0.636 | 22 |
4 | Rylee Hak | 37 | 17 | 13 | 4 | 0.910 | 3.12 | 2020 | 0 | 0 | 105 | 1165 | 558 | 0 | 0 | 0.714 | 14 |
5 | Volmar Tarvainen | 28 | 12 | 10 | 5 | 0.921 | 2.76 | 1652 | 17 | 0 | 76 | 959 | 464 | 2 | 0 | 0.375 | 8 |
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 | 32 | 29 | 0 | 7 | 1 | 6 | 5 | 263 | 245 | 18 | 40 | 15 | 15 | 0 | 4 | 1 | 2 | 3 | 128 | 125 | 3 | 40 | 17 | 14 | 0 | 3 | 0 | 4 | 2 | 135 | 120 | 15 | 96 | 263 | 445 | 708 | 0 | 0 | 67 | 94 | 89 | 19 | 3000 | 955 | 1065 | 939 | 78 | 2868 | 948 | 381 | 1797 | 165 | 27 | 16.36% | 52 | 11 | 78.85% | 1 | 975 | 1960 | 49.74% | 949 | 1902 | 49.89% | 622 | 1230 | 50.57% | 1785 | 1083 | 1700 | 674 | 1374 | 710 |
2 | 80 | 32 | 29 | 0 | 4 | 8 | 4 | 3 | 257 | 236 | 21 | 40 | 18 | 12 | 0 | 2 | 5 | 1 | 2 | 129 | 107 | 22 | 40 | 14 | 17 | 0 | 2 | 3 | 3 | 1 | 128 | 129 | -1 | 91 | 257 | 428 | 685 | 0 | 0 | 69 | 96 | 84 | 11 | 2862 | 978 | 937 | 916 | 50 | 2731 | 899 | 541 | 1833 | 152 | 29 | 19.08% | 129 | 23 | 82.17% | 1 | 918 | 1821 | 50.41% | 943 | 1877 | 50.24% | 604 | 1162 | 51.98% | 1791 | 1083 | 1689 | 681 | 1370 | 701 |
3 | 80 | 34 | 24 | 0 | 5 | 9 | 6 | 2 | 273 | 248 | 25 | 40 | 16 | 16 | 0 | 1 | 3 | 4 | 0 | 130 | 126 | 4 | 40 | 18 | 8 | 0 | 4 | 6 | 2 | 2 | 143 | 122 | 21 | 101 | 273 | 445 | 718 | 3 | 1 | 63 | 97 | 102 | 18 | 2764 | 886 | 975 | 867 | 66 | 2759 | 913 | 583 | 1763 | 168 | 32 | 19.05% | 118 | 20 | 83.05% | 3 | 932 | 1823 | 51.12% | 928 | 1893 | 49.02% | 582 | 1169 | 49.79% | 1754 | 1059 | 1742 | 687 | 1368 | 692 |
4 | 80 | 30 | 31 | 0 | 7 | 3 | 3 | 6 | 260 | 247 | 13 | 40 | 17 | 14 | 0 | 4 | 1 | 3 | 1 | 138 | 114 | 24 | 40 | 13 | 17 | 0 | 3 | 2 | 0 | 5 | 122 | 133 | -11 | 89 | 260 | 425 | 685 | 3 | 0 | 79 | 83 | 88 | 14 | 2812 | 906 | 990 | 888 | 57 | 2855 | 917 | 455 | 1726 | 170 | 35 | 20.59% | 82 | 14 | 82.93% | 0 | 978 | 1986 | 49.24% | 875 | 1798 | 48.67% | 586 | 1172 | 50.00% | 1785 | 1092 | 1724 | 666 | 1341 | 688 |
Total Regular Season | 320 | 128 | 113 | 0 | 23 | 21 | 19 | 16 | 1053 | 976 | 77 | 160 | 66 | 57 | 0 | 11 | 10 | 10 | 6 | 525 | 472 | 53 | 160 | 62 | 56 | 0 | 12 | 11 | 9 | 10 | 528 | 504 | 24 | 377 | 1053 | 1743 | 2796 | 6 | 1 | 278 | 370 | 363 | 62 | 11438 | 3725 | 3967 | 3610 | 251 | 11213 | 3677 | 1960 | 7119 | 655 | 123 | 18.78% | 381 | 68 | 82.15% | 5 | 3803 | 7590 | 50.11% | 3695 | 7470 | 49.46% | 2394 | 4733 | 50.58% | 7117 | 4318 | 6856 | 2708 | 5455 | 2793 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 11 | 14 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 11 | 17 | 28 | 0 | 0 | 4 | 3 | 4 | 0 | 216 | 59 | 71 | 68 | 18 | 221 | 66 | 19 | 117 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 76 | 140 | 54.29% | 81 | 167 | 48.50% | 40 | 82 | 48.78% | 125 | 78 | 126 | 44 | 93 | 48 |
2 | 20 | 10 | 10 | 0 | 0 | 0 | 0 | 0 | 67 | 62 | 5 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 34 | 28 | 6 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 33 | 34 | -1 | 20 | 67 | 109 | 176 | 1 | 0 | 27 | 17 | 22 | 1 | 692 | 224 | 220 | 238 | 10 | 766 | 251 | 157 | 453 | 37 | 9 | 24.32% | 31 | 8 | 74.19% | 2 | 233 | 454 | 51.32% | 277 | 526 | 52.66% | 161 | 310 | 51.94% | 442 | 267 | 437 | 170 | 341 | 172 |
3 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 26 | 25 | 1 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 6 | 26 | 45 | 71 | 1 | 0 | 9 | 8 | 9 | 0 | 238 | 105 | 77 | 56 | 0 | 241 | 81 | 22 | 158 | 15 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 69 | 155 | 44.52% | 70 | 163 | 42.94% | 55 | 107 | 51.40% | 149 | 88 | 153 | 59 | 117 | 60 |
Total Playoff | 32 | 14 | 18 | 0 | 0 | 0 | 0 | 0 | 104 | 101 | 3 | 17 | 10 | 7 | 0 | 0 | 0 | 0 | 0 | 60 | 50 | 10 | 15 | 4 | 11 | 0 | 0 | 0 | 0 | 0 | 44 | 51 | -7 | 28 | 104 | 171 | 275 | 2 | 0 | 40 | 28 | 35 | 1 | 1146 | 388 | 368 | 362 | 28 | 1228 | 398 | 198 | 728 | 57 | 10 | 17.54% | 45 | 11 | 75.56% | 2 | 378 | 749 | 50.47% | 428 | 856 | 50.00% | 256 | 499 | 51.30% | 717 | 434 | 716 | 274 | 552 | 280 |
# | 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 | Elijah Sanner | 32 | 3 | 25 | 28 | 13 | 10 | 63 | 60 | 63 | 4.76% | 47 | 850 | 26.56 | 1 | 1 | 2 | 10 | 0 | 2 | 2 | 0 | 2 | 0 | 0% | 0 | 0.66 | 0 | 0 |
2 | Abram Korolyuk | 32 | 9 | 16 | 25 | 4 | 47 | 20 | 26 | 69 | 13.04% | 15 | 497 | 15.56 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 27.27% | 0 | 1.00 | 0 | 0 |
3 | Wil Garland | 25 | 9 | 10 | 19 | -1 | 2 | 38 | 21 | 99 | 9.09% | 8 | 443 | 17.74 | 0 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 0 | 0.86 | 0 | 0 |
4 | Josef Dolnicek | 27 | 10 | 9 | 19 | -4 | 2 | 24 | 21 | 99 | 10.10% | 8 | 489 | 18.12 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 1 | 1 | 61.76% | 0 | 0.78 | 0 | 0 |
5 | Dillon Salerno | 29 | 10 | 9 | 19 | -2 | 6 | 59 | 57 | 86 | 11.63% | 17 | 534 | 18.42 | 4 | 2 | 6 | 9 | 0 | 0 | 0 | 1 | 0 | 1 | 50.15% | 0 | 0.71 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Stephane Wazasnik | 18 | 9 | 6 | 3 | 0.929 | 2.71 | 1086 | 0 | 0 | 49 | 686 | 292 | 1 | 0 | 0 | 0 |
2 | Leon Campaner | 6 | 3 | 3 | 0 | 0.909 | 3.01 | 359 | 0 | 0 | 18 | 197 | 94 | 0 | 1 | 0 | 0 |
3 | Ludvik Lyngmo | 8 | 2 | 3 | 2 | 0.900 | 3.87 | 465 | 0 | 0 | 30 | 299 | 158 | 0 | 1 | 0 | 0 |
4 | Rylee Hak | 1 | 0 | 0 | 1 | 0.955 | 1.64 | 73 | 0 | 0 | 2 | 44 | 16 | 0 | 0 | 0 | 0 |