| Privateers |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Michael Green | Morale : 50 | Team Overall : 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 |
| # | 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 | Cameron Lodewyks (A) | 10 | X | 100.00 | 99 | 55 | 61 | 68 | 96 | 69 | 80 | 72 | 93 | 96 | 99 | 78 | 47 | 51 | 45 | 47 | 50 | 83 | 0 | 26 | 2 | 3,750,000$ | |||||
| 2 | Chris Neurauter | 87 | X | 100.00 | 47 | 49 | 83 | 97 | 99 | 72 | 62 | 78 | 99 | 99 | 87 | 74 | 46 | 95 | 48 | 23 | 50 | 83 | 0 | 30 | 4 | 4,013,000$ | |||||
| 3 | Nathanael Miller | 37 | X | 100.00 | 74 | 37 | 74 | 80 | 91 | 96 | 92 | 73 | 83 | 69 | 74 | 99 | 92 | 37 | 63 | 60 | 50 | 82 | 0 | 22 | 2 | 2,800,000$ | |||||
| 4 | Kerby Daviault | 21 | X | 100.00 | 97 | 57 | 67 | 58 | 58 | 89 | 57 | 97 | 97 | 99 | 88 | 98 | 48 | 39 | 61 | 22 | 50 | 82 | 0 | 30 | 2 | 4,250,000$ | |||||
| 5 | German Tabanov | 18 | X | 100.00 | 99 | 49 | 98 | 86 | 94 | 92 | 54 | 77 | 71 | 75 | 97 | 53 | 71 | 63 | 81 | 26 | 50 | 80 | 0 | 30 | 1 | 1,730,000$ | |||||
| 6 | Herb Edmond | 78 | X | 100.00 | 78 | 63 | 69 | 70 | 84 | 94 | 81 | 93 | 57 | 63 | 75 | 83 | 29 | 71 | 52 | 56 | 50 | 78 | 0 | 24 | 2 | 1,800,000$ | |||||
| 7 | Samuel Hammer | 0 | X | 100.00 | 76 | 52 | 81 | 90 | 92 | 66 | 55 | 85 | 25 | 85 | 37 | 89 | 33 | 89 | 48 | 64 | 50 | 77 | 0 | 23 | 3 | 2,396,056$ | |||||
| 8 | Ignaty Otlesnov (C) | 42 | X | 100.00 | 50 | 57 | 62 | 58 | 99 | 77 | 62 | 87 | 25 | 85 | 55 | 98 | 45 | 54 | 83 | 6 | 50 | 76 | 0 | 35 | 1 | 1,980,000$ | |||||
| 9 | Niel Sharib | 3 | X | 100.00 | 54 | 65 | 73 | 54 | 74 | 99 | 98 | 84 | 25 | 52 | 69 | 93 | 50 | 87 | 85 | 6 | 50 | 75 | 0 | 34 | 1 | 1,500,000$ | |||||
| 10 | Spencer Lafortune | 4 | X | 100.00 | 96 | 57 | 64 | 65 | 36 | 97 | 86 | 81 | 25 | 67 | 77 | 96 | 50 | 99 | 86 | 58 | 50 | 75 | 0 | 24 | 3 | 3,270,000$ | |||||
| 11 | Esa Pekkarinen (R) | 40 | X | 100.00 | 52 | 49 | 71 | 69 | 72 | 98 | 63 | 65 | 25 | 42 | 69 | 99 | 81 | 40 | 45 | 59 | 50 | 71 | 0 | 23 | 2 | 1,400,000$ | |||||
| Scratches | |||||||||||||||||||||||||||||||
| 1 | Rietrikki Keveri | 72 | X | 100.00 | 92 | 46 | 66 | 93 | 90 | 94 | 90 | 67 | 56 | 94 | 54 | 95 | 38 | 46 | 93 | 1 | 50 | 83 | 0 | 36 | 2 | 3,400,000$ | |||||
| 2 | Zackary Nowry | 82 | X | 100.00 | 74 | 58 | 79 | 88 | 79 | 99 | 62 | 91 | 89 | 82 | 95 | 39 | 86 | 79 | 50 | 1 | 50 | 80 | 0 | 38 | 1 | 4,300,000$ | |||||
| 3 | Rong Zilei | 34 | X | 100.00 | 59 | 58 | 84 | 92 | 77 | 92 | 67 | 89 | 87 | 66 | 84 | 87 | 85 | 78 | 86 | 62 | 50 | 80 | 0 | 22 | 5 | 3,200,000$ | |||||
| 4 | Jody Sonntag (R) | 89 | X | 100.00 | 92 | 57 | 91 | 81 | 75 | 78 | 59 | 97 | 83 | 84 | 48 | 80 | 83 | 87 | 86 | 61 | 50 | 78 | 0 | 23 | 5 | 1,875,000$ | |||||
| 5 | Woodrow Convrey (R) | 91 | X | 100.00 | 81 | 58 | 73 | 86 | 73 | 97 | 59 | 86 | 68 | 73 | 61 | 94 | 40 | 28 | 37 | 74 | 50 | 78 | 0 | 20 | 2 | 900,000$ | |||||
| 6 | Odell Kell (R) | 74 | X | 100.00 | 59 | 58 | 93 | 68 | 54 | 76 | 52 | 98 | 68 | 75 | 87 | 96 | 43 | 51 | 41 | 59 | 50 | 75 | 0 | 24 | 5 | 1,999,999$ | |||||
| 7 | Logan Getliffe | 57 | X | 100.00 | 45 | 33 | 63 | 54 | 80 | 56 | 86 | 92 | 78 | 82 | 75 | 73 | 46 | 38 | 55 | 60 | 50 | 73 | 0 | 23 | 4 | 1,410,000$ | |||||
| 8 | Alfred Rice (R) | 8 | X | 100.00 | 62 | 62 | 72 | 58 | 60 | 69 | 92 | 83 | 25 | 80 | 72 | 88 | 91 | 35 | 33 | 71 | 50 | 73 | 0 | 22 | 5 | 1,999,999$ | |||||
| TEAM AVERAGE | 100.00 | 73 | 54 | 75 | 74 | 78 | 85 | 71 | 84 | 62 | 77 | 74 | 85 | 58 | 61 | 62 | 43 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Stephane Wazasnik | 33 | 100.00 | 60 | 65 | 78 | 73 | 99 | 96 | 95 | 81 | 96 | 93 | 64 | 57 | 57 | 32 | 50 | 84 | 0 | 29 | 3 | 2,700,000$ | ||
| Scratches | |||||||||||||||||||||||||
| 1 | Jean-Daniel Dhaliwal (R) | 32 | 100.00 | 66 | 63 | 75 | 99 | 96 | 85 | 69 | 70 | 79 | 94 | 85 | 78 | 78 | 64 | 50 | 80 | 0 | 23 | 2 | 2,800,000$ | ||
| TEAM AVERAGE | 100.00 | 63 | 64 | 77 | 86 | 98 | 91 | 82 | 76 | 88 | 94 | 75 | 68 | 68 | 48 | 50 | 82 | ||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ryan Laplante | 36 | 52 | 99 | 96 | 78 | 93 | 22 | CAN | 54 | 1 | 800,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alfred Rice | Privateers | D | 22 | 2005-07-16 | USA | Yes | 180 Lbs | 5 ft6 | No | No | Assign Manually | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 1,999,999$ | 1,999,999$ | 1,999,999$ | No | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Cameron Lodewyks | Privateers | C | 26 | 2001-01-18 | CAN | No | 204 Lbs | 6 ft7 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,750,000$ | 3,750,000$ | 3,750,000$ | No | 3,750,000$ | - | - | - | - | - | - | - | - | 3,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Chris Neurauter | Privateers | C | 30 | 1997-02-16 | CAN | No | 191 Lbs | 6 ft2 | No | No | Trade | 2025-02-24 | No | No | 4 | 2025-02-01 | False | False | Pro & Farm | 4,013,000$ | 4,013,000$ | 4,013,000$ | No | 4,013,000$ | 4,013,000$ | 4,013,000$ | - | - | - | - | - | - | 4,013,000$ | 4,013,000$ | 4,013,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Esa Pekkarinen | Privateers | D | 23 | 2004-06-20 | FIN | Yes | 243 Lbs | 6 ft8 | No | No | Trade | 2025-03-03 | No | No | 2 | 2024-07-09 | False | False | Pro & Farm | 1,400,000$ | 1,400,000$ | 1,400,000$ | No | 1,400,000$ | - | - | - | - | - | - | - | - | 1,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| German Tabanov | Privateers | RW | 30 | 1997-08-01 | RUS | No | 235 Lbs | 6 ft6 | No | No | Trade | 2025-02-25 | No | No | 1 | False | False | Pro & Farm | 1,730,000$ | 1,730,000$ | 1,730,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Herb Edmond | Privateers | RW | 24 | 2003-04-09 | USA | No | 232 Lbs | 6 ft7 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,800,000$ | 1,800,000$ | 1,800,000$ | No | 1,800,000$ | - | - | - | - | - | - | - | - | 1,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Ignaty Otlesnov | Privateers | D | 35 | 1992-04-05 | RUS | No | 187 Lbs | 5 ft7 | No | No | N/A | No | No | 1 | 2024-06-04 | False | False | Pro & Farm | 1,980,000$ | 1,980,000$ | 1,980,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jean-Daniel Dhaliwal | Privateers | G | 23 | 2004-11-07 | CAN | Yes | 232 Lbs | 6 ft8 | No | No | Assign Manually | No | No | 2 | 2025-09-28 | False | False | Pro & Farm | 2,800,000$ | 2,800,000$ | 2,800,000$ | No | 2,800,000$ | - | - | - | - | - | - | - | - | 2,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jody Sonntag | Privateers | C | 23 | 2004-10-09 | CAN | Yes | 187 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 1,875,000$ | 1,875,000$ | 1,875,000$ | No | 1,875,000$ | 1,875,000$ | 1,875,000$ | 1,875,000$ | - | - | - | - | - | 1,875,000$ | 1,875,000$ | 1,875,000$ | 1,875,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Kerby Daviault | Privateers | RW | 30 | 1997-09-21 | CAN | No | 185 Lbs | 5 ft7 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,250,000$ | 4,250,000$ | 4,250,000$ | No | 4,250,000$ | - | - | - | - | - | - | - | - | 4,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Logan Getliffe | Privateers | LW | 23 | 2004-04-14 | CAN | No | 204 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 4 | 2025-09-28 | False | False | Pro & Farm | 1,410,000$ | 1,410,000$ | 1,410,000$ | No | 1,410,000$ | 1,410,000$ | 1,410,000$ | - | - | - | - | - | - | 1,410,000$ | 1,410,000$ | 1,410,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Nathanael Miller | Privateers | LW | 22 | 2005-09-14 | USA | No | 208 Lbs | 6 ft8 | No | No | Trade | 2025-02-15 | No | No | 2 | False | False | Pro & Farm | 2,800,000$ | 2,800,000$ | 2,800,000$ | No | 2,800,000$ | - | - | - | - | - | - | - | - | 2,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Niel Sharib | Privateers | D | 34 | 1993-02-12 | USA | No | 190 Lbs | 5 ft9 | No | No | Trade | 2024-07-04 | No | No | 1 | 2024-06-04 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Odell Kell | Privateers | LW | 24 | 2003-08-27 | USA | Yes | 190 Lbs | 6 ft1 | No | No | Trade | 2025-09-29 | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 1,999,999$ | 1,999,999$ | 1,999,999$ | No | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
| Rietrikki Keveri | Privateers | RW | 36 | 1991-11-22 | FIN | No | 188 Lbs | 5 ft5 | No | No | Assign Manually | 2025-05-14 | No | No | 2 | 2025-09-28 | False | False | Pro & Farm | 3,400,000$ | 3,400,000$ | 3,400,000$ | No | 3,400,000$ | - | - | - | - | - | - | - | - | 3,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Rong Zilei | Privateers | LW | 22 | 2005-04-11 | CHN | No | 175 Lbs | 5 ft5 | No | No | Assign Manually | No | No | 5 | 2025-09-28 | False | False | Pro & Farm | 3,200,000$ | 3,200,000$ | 3,200,000$ | No | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | - | - | - | - | - | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Samuel Hammer | Privateers | D | 23 | 2004-10-27 | SWE | No | 180 Lbs | 5 ft6 | No | No | Trade | 2025-10-02 | No | No | 3 | 2025-09-28 | False | False | Pro & Farm | 2,396,056$ | 2,396,056$ | 2,396,056$ | No | 2,396,056$ | 2,396,056$ | - | - | - | - | - | - | - | 2,396,056$ | 2,396,056$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Spencer Lafortune | Privateers | D | 24 | 2003-07-19 | CAN | No | 177 Lbs | 5 ft6 | No | No | N/A | No | No | 3 | 2024-06-04 | False | False | Pro & Farm | 3,270,000$ | 3,270,000$ | 3,270,000$ | No | 3,270,000$ | 3,270,000$ | - | - | - | - | - | - | - | 3,270,000$ | 3,270,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Stephane Wazasnik | Privateers | G | 29 | 1998-08-28 | CAN | No | 190 Lbs | 5 ft5 | No | No | Trade | 2025-09-26 | No | No | 3 | 2024-06-03 | False | False | Pro & Farm | 2,700,000$ | 2,700,000$ | 2,700,000$ | No | 2,700,000$ | 2,700,000$ | - | - | - | - | - | - | - | 2,700,000$ | 2,700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Woodrow Convrey | Privateers | LW | 20 | 2007-10-07 | USA | Yes | 204 Lbs | 5 ft11 | No | No | Free Agent | No | No | 2 | 2025-02-21 | False | False | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Zackary Nowry | Privateers | C | 38 | 1989-07-19 | CAN | No | 209 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2025-09-28 | False | False | Pro & Farm | 4,300,000$ | 4,300,000$ | 4,300,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 21 | 26.71 | 200 Lbs | 6 ft0 | 2.71 | 2,546,384$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 53,474,054$ | 43,964,054$ | 22,864,054$ | 14,497,998$ | 9,074,998$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Nathanael Miller | Chris Neurauter | German Tabanov | 32 | 0 | 0 | 5 |
| 2 | Kerby Daviault | 32 | 0 | 1 | 4 | ||
| 3 | Cameron Lodewyks | 28 | 0 | 2 | 3 | ||
| 4 | Herb Edmond | 8 | 0 | 4 | 1 | ||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Spencer Lafortune | 34 | 0 | 3 | 2 | ||
| 2 | Ignaty Otlesnov | Esa Pekkarinen | 31 | 0 | 3 | 2 | |
| 3 | Niel Sharib | 27 | 0 | 3 | 2 | ||
| 4 | Esa Pekkarinen | 8 | 0 | 4 | 1 | ||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Nathanael Miller | Chris Neurauter | German Tabanov | 50 | 0 | 0 | 5 |
| 2 | Kerby Daviault | 50 | 0 | 0 | 5 | ||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Spencer Lafortune | 50 | 0 | 0 | 5 | ||
| 2 | Niel Sharib | Esa Pekkarinen | 50 | 0 | 1 | 4 | |
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 0 | 4 | 1 | ||
| 2 | Cameron Lodewyks | Nathanael Miller | 50 | 0 | 4 | 1 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Ignaty Otlesnov | Spencer Lafortune | 50 | 0 | 5 | 0 |
| 2 | Esa Pekkarinen | 50 | 0 | 5 | 0 | |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 0 | 5 | 0 | Spencer Lafortune | Ignaty Otlesnov | 50 | 0 | 5 | 0 | |
| 2 | 50 | 0 | 5 | 0 | Niel Sharib | 50 | 0 | 5 | 0 | ||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | German Tabanov | 50 | 0 | 2 | 3 | |
| 2 | Nathanael Miller | 50 | 0 | 2 | 3 | |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Spencer Lafortune | 50 | 0 | 3 | 2 | |
| 2 | Niel Sharib | Ignaty Otlesnov | 50 | 0 | 3 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Nathanael Miller | Chris Neurauter | German Tabanov | Niel Sharib | |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Cameron Lodewyks | Ignaty Otlesnov | Spencer Lafortune | ||
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , Cameron Lodewyks, | Cameron Lodewyks, | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , Niel Sharib, Ignaty Otlesnov | Niel Sharib | Niel Sharib, |
| Penalty Shots |
|---|
| Nathanael Miller, , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Custom OT Lines Forwards |
|---|
| , Nathanael Miller, , Kerby Daviault, , Chris Neurauter, , Herb Edmond, , Cameron Lodewyks |
| Custom OT Lines Defensemen |
|---|
| Esa Pekkarinen, , Ignaty Otlesnov, Spencer Lafortune, Niel Sharib |
| 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 |
| 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$ | 53,474,054$ | 53,474,054$ | 800,000$0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 0$ | 0$ | 0$ | 21 | 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$ | 103,602,427$ | 103,602,427$ |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| 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 |
|---|---|---|---|---|---|---|
| Alex Bryngelsson | Privateers | 5 | 68 | |||
| Anton Pokrovsky | Privateers | 3 | 86 | |||
| Denny Brega | Privateers | 5 | 40 | |||
| Gal Roblek | Privateers | 5 | 20 | |||
| Gerald Shapland | Privateers | 4 | 29 | |||
| Harold McCormick | Privateers | 4 | 47 | |||
| Jere-Matti Happo | Privateers | 3 | 45 | |||
| Landan Pettinger | Privateers | 4 | 63 | |||
| Maurus Butler | Privateers | 4 | 94 | |||
| Per Thomsen | Privateers | 5 | 90 | |||
| Peter Komel | Privateers | 5 | 67 | |||
| Thosten Eichhorn | Privateers | 4 | 26 | |||
| Tommy Pitcairn | Privateers | 4 | 85 | |||
| Vladislav Tarantov | Privateers | 4 | 71 | |||
| Yakov Kudinov | Privateers | 5 | 98 |
| Year | R1 | R2 | R3 | R4 | R5 |
|---|---|---|---|---|---|
| 5 | | | | | |
| 6 | | | | ||
| 7 | | | | | |
| 8 | | | | | |
| 9 | | | | | |
| Conditional Draft Picks | |||||
Privateers) On Saturday 2nd September 2023 / 11:36am Today's games will be run first thing Sunday morning. As I previoulsy mentioned I will be at a wedding today so I can't sim.
Game 4 will run early Sunday so please get your lines in on schedule tonight.
Game 5 will run Monday around the normal time.
After this disruption we will run playoff games 7 days a week straight through until they are complete. The sim handles rest days in between so we don't need the off day each week.
Privateers) On Wednesday 30th August 2023 / 8:09am Both Pro and Farm league playoffs begin today. Good luck to everyone involved. Please get your lines set.
Privateers) On Tuesday 29th August 2023 / 1:05pm The regular season has concluded, year 1 is in the books.
The playoffs will begin tomorrow Wednesday August 30.
Both pro and farm brackets will run on this schedule. Please make sure you have your teams lines ready to go.
Privateers) On Saturday 24th June 2023 / 1:30pm The New York Knights have a new GM running things. Craig Gorman has taken over the Knights effectively immediately. Craig is a veteran GM.
All of the site contact information is updated for Craig and he should be joining the Slack group shortly. Please welcome Craig to the league
Privateers) On Thursday 8th June 2023 / 2:30pm Southern Conference All Stars Selections
On June 11th the leagues best will match up in the first annual All-Star Game in Edmonton.
The following players have been chosen to represent the Southern Conference.
Centers -
From the Tucson Muertos, Center Zackary Nowry - Nowry is the conference’s best at Center. Currently he has 41 points in just 36 games.
From the St Paul Razorbacks, Center Randy Meritie - Meritie runs the show for St Paul leading the team in scoring and on the ice. His knack for scoring in the clutch has earned him top star honors 6 times already.
From the Atlanta Royals, Center Joe McKinlay - McKinlay leads the Royals in goals scored with 18. This veteran has been instrumental in keeping the Royals at the top of the division.
From the Motor City Mustangs, Center Ugo Talawant - The Motor City faithful love Ugo and his flashy style. Among the leagues fastest skaters despite is age, Ugo has highlight reel skills.
Right Wing -
From the Memphis Blues, Right Wing Duma Dodrescu - Highly coveted in the draft Dodrescu the 25 year old Romanian has a lot of GMs wishing they had the chance to go back and draft him. Over a point a game and leading the league with 6 game winning goals this young man is a lock to be in the discussion for the end of year awards.
From the Minnesota Dockheads, Right Wing Rawley Boney - The first round selection in Minnesota Boney has lived up to the hype for sure. With 40 points in 34 games he has almost doubled the teams second leading scorer. It’s clear that he is the one that makes this team go offensively.
From the Rochester NorthStars, Right Wing Derrell Hults - Hults leads the North Stars in goals and assists at this point. He is a fan favorite in Rochester and for good reason. At just 26 years old he continues to get better and should be a fixture here for Rochester.
From the Miami Trident, Right Wing Marc-Andre Larochelle - Larochelle has surprised in Miami as an unheralded rookie he’s quickly become the clubs go to performer on the ice. Logging top line minutes over his older teammates and making the most of his opportunity. Miami found a gem here.
Left Wing -
From the Memphis Blues, Left Wing Wes Pushka - Pushka leads the Conference in scoring with 42 points in 37 games. Pushka is outstanding with the puck on his stick and has one of the best shots in the league.
From the San Francisco Orcas, Left Wing Aston Critchley - Critchley is a power play specialist leading the Orcas in points on the advantage. He’s been in the mix for more than half the teams tallies on the power play. A natural scorer but even more deals when his team is up.
From the Atlanta Royals, Left Wing Anton Vekselberg - Vekselberg is a gifted playmaker getting two assists for every goal he scores himself. With outstanding skating and a great ability to control the puck he’s the kind of guy that makes lines successful.
From the Los Angeles Dynasty, Left Wing Josef Dolnicek - This Czech is made for the end to end game. His speed is unmatched and his willingness to fire pucks on net makes him someone to watch every time he’s on the ice. His style was made for an All Star exhibition.
Defense -
From the Las Vegas High Rollers, Defenseman Rhyse Andison - Andison may end the season leading all blue liners in scoring. With 30 points and a +13 rating already he will be a favorite for some year end awards.
From the Memphis Blues, Defenseman Ikki Miyamae - The Blues got a good one in Miyamae. Fast, smart ,responsible with the puck and logging over 23 minutes per game. This young man is a prototype for what all teams want in a defenseman.
From the Las Vegas High Rollers, Defenseman Glynn Simpson - Simpson is a very smart player, always positioned well and making the right reads. He keeps his club out of bad situations and is just outstanding getting the breakout going. He won’t light up the scoreboard but you probably won’t light it either when he’s on the ice.
From the Port City Privateers, Defenseman Chris Touhey - With 10 assists and a +11 rating he’s the kind of blue liner every team wants. More than just helpful in the offensive zone but always with a focus on his defensive responsibilities.
From the St Paul Razorbacks, Defenseman Montgomery Faulkner - Faulkner is a classic defenseman. Good skating, smart moving the puck and loves to make opponents pay for every inch of real estate in the zone.
From the Minnesota Dockheads, Defenseman Harper Frick - Frick just eats up ice time for Minnesota. Not the biggest, not the fastest but always ready to go over the boards and give you another quality shift. At just 25 years old we are looking at a guy who will continue to grow which is scary considering the player he already is.
Goalie -
From the St Paul Razorbacks, Goalie Barron Dowler - No surprise here seeing this 20 year olds name. He leads the conference in wins and goals against average and sits near the top in save percentage. St Paul hit the lottery with this kid. He’ll be a fan favorite for a long time.
From the Minnesota Dockheads, Goalie Cooper Fornataro - Fornataro is a goalie every team would love to have. 15 Wins already with a save percentage among the best in the league. He has outperformed almost every net minder in the league so far.
This team will be led by Noah Dawson GM Atlanta Royals
| # | 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 | Kerby Daviault | 316 | 107 | 137 | 244 | 12 | 169 | 766 | 381 | 931 | 11.49% | 116 | 5780 | 18.29 | 20 | 23 | 43 | 69 | 1 | 2 | 3 | 8 | 20 | 5 | 53.90% | 0 | 0.84 | 0 | 0 |
| 2 | Zackary Nowry | 240 | 100 | 135 | 235 | -13 | 71 | 388 | 283 | 994 | 10.06% | 58 | 4355 | 18.15 | 16 | 23 | 39 | 74 | 0 | 0 | 0 | 0 | 15 | 5 | 55.41% | 1 | 1.08 | 5 | 6 |
| 3 | Guillaume Hanley | 214 | 82 | 119 | 201 | 10 | 9 | 149 | 404 | 786 | 10.43% | 92 | 3834 | 17.92 | 8 | 13 | 21 | 46 | 1 | 4 | 5 | 7 | 8 | 5 | 53.85% | 0 | 1.05 | 0 | 0 |
| 4 | Cameron Lodewyks | 299 | 68 | 131 | 199 | 24 | 145 | 770 | 473 | 605 | 11.24% | 100 | 4967 | 16.61 | 5 | 13 | 18 | 26 | 0 | 1 | 1 | 3 | 10 | 7 | 51.64% | 0 | 0.80 | 1 | 1 |
| 5 | Rong Zilei | 240 | 66 | 82 | 148 | -20 | 74 | 161 | 268 | 686 | 9.62% | 98 | 3887 | 16.20 | 8 | 12 | 20 | 33 | 0 | 0 | 0 | 3 | 8 | 5 | 54.50% | 2 | 0.76 | 5 | 13 |
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Andrew Dumont | 149 | 84 | 49 | 10 | 0.912 | 2.98 | 8565 | 8 | 2 | 426 | 4865 | 2113 | 2 | 3 | 0.739 | 23 |
| 2 | Pierre-Anthony Back | 75 | 38 | 26 | 6 | 0.910 | 3.08 | 4190 | 2 | 1 | 215 | 2397 | 1087 | 7 | 5 | 0.611 | 18 |
| 3 | Dillon Valenzuela | 49 | 29 | 14 | 4 | 0.911 | 3.17 | 2875 | 4 | 0 | 152 | 1705 | 856 | 5 | 4 | 1.000 | 6 |
| 4 | Jean-Daniel Dhaliwal | 29 | 14 | 10 | 4 | 0.909 | 3.02 | 1651 | 2 | 0 | 83 | 911 | 394 | 2 | 2 | 0.750 | 8 |
| 5 | Olaf Patalong | 33 | 11 | 13 | 3 | 0.907 | 3.28 | 1721 | 4 | 0 | 94 | 1016 | 514 | 1 | 1 | 0.714 | 7 |
| 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 | 37 | 28 | 0 | 4 | 7 | 2 | 2 | 254 | 229 | 25 | 40 | 20 | 13 | 0 | 2 | 3 | 1 | 1 | 137 | 120 | 17 | 40 | 17 | 15 | 0 | 2 | 4 | 1 | 1 | 117 | 109 | 8 | 95 | 254 | 415 | 669 | 6 | 2 | 81 | 97 | 70 | 12 | 2842 | 944 | 967 | 920 | 31 | 2697 | 898 | 415 | 1788 | 183 | 34 | 18.58% | 94 | 21 | 77.66% | 4 | 975 | 1870 | 52.14% | 961 | 1882 | 51.06% | 665 | 1219 | 54.55% | 1759 | 1052 | 1685 | 679 | 1387 | 714 |
| 2 | 80 | 37 | 32 | 0 | 4 | 2 | 5 | 0 | 279 | 269 | 10 | 40 | 19 | 16 | 0 | 3 | 0 | 2 | 0 | 139 | 133 | 6 | 40 | 18 | 16 | 0 | 1 | 2 | 3 | 0 | 140 | 136 | 4 | 94 | 279 | 447 | 726 | 3 | 0 | 93 | 86 | 91 | 13 | 2858 | 1033 | 900 | 904 | 35 | 2817 | 908 | 351 | 1729 | 148 | 28 | 18.92% | 104 | 24 | 76.92% | 6 | 955 | 1831 | 52.16% | 1013 | 1890 | 53.60% | 709 | 1272 | 55.74% | 1791 | 1085 | 1674 | 670 | 1370 | 706 |
| 3 | 80 | 37 | 28 | 0 | 5 | 5 | 2 | 3 | 265 | 251 | 14 | 40 | 21 | 11 | 0 | 1 | 3 | 1 | 3 | 133 | 116 | 17 | 40 | 16 | 17 | 0 | 4 | 2 | 1 | 0 | 132 | 135 | -3 | 96 | 265 | 439 | 704 | 0 | 1 | 101 | 79 | 78 | 9 | 2876 | 1066 | 965 | 824 | 35 | 2773 | 903 | 354 | 1767 | 188 | 26 | 13.83% | 82 | 13 | 84.15% | 1 | 1022 | 1880 | 54.36% | 960 | 1841 | 52.15% | 654 | 1243 | 52.61% | 1795 | 1095 | 1681 | 670 | 1360 | 697 |
| 4 | 80 | 34 | 27 | 0 | 7 | 7 | 4 | 1 | 288 | 263 | 25 | 40 | 18 | 11 | 0 | 4 | 4 | 2 | 1 | 149 | 128 | 21 | 40 | 16 | 16 | 0 | 3 | 3 | 2 | 0 | 139 | 135 | 4 | 98 | 288 | 464 | 752 | 7 | 0 | 73 | 96 | 108 | 14 | 3008 | 1040 | 1004 | 929 | 53 | 2793 | 855 | 419 | 1637 | 170 | 34 | 20.00% | 82 | 16 | 80.49% | 1 | 1083 | 1957 | 55.34% | 967 | 1796 | 53.84% | 665 | 1254 | 53.03% | 1773 | 1092 | 1715 | 673 | 1356 | 682 |
| Total Regular Season | 320 | 145 | 115 | 0 | 20 | 21 | 13 | 6 | 1086 | 1012 | 74 | 160 | 78 | 51 | 0 | 10 | 10 | 6 | 5 | 558 | 497 | 61 | 160 | 67 | 64 | 0 | 10 | 11 | 7 | 1 | 528 | 515 | 13 | 383 | 1086 | 1765 | 2851 | 16 | 3 | 348 | 358 | 347 | 48 | 11584 | 4083 | 3836 | 3577 | 154 | 11080 | 3564 | 1539 | 6921 | 689 | 122 | 17.71% | 362 | 74 | 79.56% | 12 | 4035 | 7538 | 53.53% | 3901 | 7409 | 52.65% | 2693 | 4988 | 53.99% | 7119 | 4325 | 6757 | 2693 | 5475 | 2801 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 1 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 23 | -6 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 6 | 17 | 29 | 46 | 0 | 0 | 8 | 4 | 5 | 0 | 251 | 109 | 73 | 69 | 0 | 283 | 82 | 34 | 149 | 15 | 5 | 33.33% | 7 | 1 | 85.71% | 0 | 112 | 191 | 58.64% | 104 | 206 | 50.49% | 61 | 101 | 60.40% | 156 | 95 | 149 | 56 | 114 | 58 |
| 2 | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 27 | 29 | -2 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 16 | 0 | 10 | 27 | 45 | 72 | 0 | 0 | 12 | 9 | 4 | 2 | 387 | 147 | 117 | 112 | 11 | 421 | 136 | 47 | 222 | 18 | 2 | 11.11% | 12 | 1 | 91.67% | 0 | 140 | 263 | 53.23% | 162 | 286 | 56.64% | 78 | 146 | 53.42% | 242 | 144 | 239 | 96 | 193 | 98 |
| 3 | 25 | 15 | 10 | 0 | 0 | 0 | 0 | 0 | 82 | 73 | 9 | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 37 | 43 | -6 | 13 | 10 | 3 | 0 | 0 | 0 | 0 | 0 | 45 | 30 | 15 | 30 | 82 | 135 | 217 | 2 | 0 | 23 | 32 | 26 | 1 | 1022 | 355 | 343 | 300 | 24 | 952 | 334 | 205 | 540 | 36 | 4 | 11.11% | 31 | 4 | 87.10% | 0 | 310 | 623 | 49.76% | 329 | 663 | 49.62% | 183 | 389 | 47.04% | 596 | 380 | 532 | 205 | 416 | 213 |
| Total Playoff | 43 | 23 | 20 | 0 | 0 | 0 | 0 | 0 | 126 | 125 | 1 | 21 | 9 | 12 | 0 | 0 | 0 | 0 | 0 | 56 | 66 | -10 | 22 | 14 | 8 | 0 | 0 | 0 | 0 | 0 | 70 | 59 | 11 | 46 | 126 | 209 | 335 | 2 | 0 | 43 | 45 | 35 | 3 | 1660 | 611 | 533 | 481 | 35 | 1656 | 552 | 286 | 911 | 69 | 11 | 15.94% | 50 | 6 | 88.00% | 0 | 562 | 1077 | 52.18% | 595 | 1155 | 51.52% | 322 | 636 | 50.63% | 995 | 619 | 920 | 358 | 724 | 369 |
| # | 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 | Guillaume Hanley | 43 | 15 | 24 | 39 | 2 | 14 | 16 | 69 | 142 | 10.56% | 26 | 804 | 18.72 | 0 | 5 | 5 | 5 | 0 | 0 | 0 | 2 | 2 | 1 | 51.18% | 0 | 0.97 | 0 | 0 |
| 2 | Zackary Nowry | 28 | 11 | 16 | 27 | 3 | 16 | 46 | 26 | 135 | 8.15% | 16 | 496 | 17.75 | 1 | 1 | 2 | 10 | 0 | 0 | 0 | 0 | 1 | 1 | 67.39% | 0 | 1.09 | 0 | 0 |
| 3 | Cameron Lodewyks | 43 | 9 | 15 | 24 | -3 | 57 | 104 | 79 | 86 | 10.47% | 25 | 769 | 17.91 | 0 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 51.65% | 0 | 0.62 | 0 | 0 |
| 4 | Rong Zilei | 36 | 12 | 11 | 23 | 3 | 32 | 26 | 50 | 145 | 8.28% | 15 | 601 | 16.71 | 2 | 1 | 3 | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 54.05% | 0 | 0.76 | 0 | 0 |
| 5 | Maksim Lalancette | 25 | 8 | 14 | 22 | 8 | 2 | 43 | 21 | 98 | 8.16% | 4 | 453 | 18.16 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | 41.67% | 0 | 0.97 | 0 | 0 |
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Andrew Dumont | 35 | 19 | 11 | 4 | 0.929 | 2.67 | 2113 | 2 | 0 | 94 | 1321 | 576 | 2 | 0 | 0 | 0 |
| 2 | Pierre-Anthony Back | 4 | 2 | 1 | 1 | 0.919 | 3.18 | 245 | 0 | 0 | 13 | 161 | 81 | 0 | 0 | 0 | 0 |
| 3 | Olaf Patalong | 5 | 2 | 3 | 0 | 0.907 | 3.49 | 275 | 0 | 0 | 16 | 172 | 97 | 0 | 2 | 0 | 0 |
Auroras
Devils
Guppies
Hornets
Jacks
Jazz
Kings
Outlaws
Vipers
Wolfpack
Wolverines
Yeti
Bulldogs
Comets
Crusaders
Hydra
Northmen
Phantoms
Rampage
Rock
Schooners
Spartans
Stingers
Wild Wings
