![]() | Phantoms |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Alexandre Fortier | Morale : 50 | Team Overall : 62 Next Games #16 vs Crunch |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | # | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Zachary Senyshyn | 0 | X | X | X | 100.00 | 72 | 59 | 89 | 72 | 71 | 80 | 76 | 69 | 67 | 69 | 72 | 73 | 70 | 60 | 51 | 54 | 50 | 66 | 0 | 29 | 1 | 1,200,000$ | ||
| 2 | Filip Chlapik | 0 | X | 100.00 | 77 | 45 | 74 | 70 | 71 | 76 | 76 | 67 | 67 | 70 | 67 | 66 | 62 | 60 | 50 | 54 | 50 | 64 | 0 | 29 | 1 | 1,000,000$ | ||||
| 3 | Brendan Harms | 0 | X | X | 100.00 | 59 | 46 | 99 | 71 | 70 | 68 | 66 | 69 | 57 | 66 | 66 | 68 | 66 | 48 | 46 | 38 | 50 | 61 | 0 | 31 | 1 | 650,000$ | |||
| 4 | Timotej Sille | 0 | X | X | 100.00 | 54 | 46 | 95 | 71 | 74 | 66 | 63 | 67 | 58 | 60 | 61 | 66 | 59 | 48 | 45 | 42 | 50 | 59 | 0 | 31 | 1 | 650,000$ | |||
| 5 | Kale Clague | 0 | X | 100.00 | 62 | 46 | 89 | 72 | 69 | 79 | 80 | 69 | 45 | 72 | 70 | 71 | 60 | 60 | 49 | 54 | 50 | 65 | 0 | 28 | 2 | 1,200,000$ | ||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Pascal Laberge | 0 | X | 100.00 | 65 | 45 | 88 | 72 | 68 | 78 | 77 | 70 | 77 | 64 | 69 | 65 | 59 | 57 | 50 | 54 | 50 | 64 | 0 | 28 | 2 | 1,000,000$ | ||||
| 2 | Jeff Malott (R) | 0 | X | 100.00 | 75 | 55 | 82 | 80 | 74 | 69 | 84 | 71 | 50 | 70 | 66 | 72 | 60 | 50 | 45 | 40 | 50 | 64 | 0 | 30 | 1 | 900,000$ | ||||
| 3 | Mathieu Joseph | 0 | X | X | X | 100.00 | 63 | 45 | 86 | 70 | 73 | 72 | 62 | 65 | 68 | 65 | 67 | 64 | 63 | 72 | 71 | 54 | 50 | 64 | 0 | 29 | 3 | 1,000,000$ | ||
| 4 | Kailer Yamamoto | 0 | X | X | X | 100.00 | 58 | 45 | 94 | 70 | 68 | 72 | 71 | 64 | 66 | 65 | 64 | 64 | 63 | 68 | 66 | 54 | 50 | 63 | 0 | 27 | 3 | 900,000$ | ||
| 5 | Ivan Chekhovich | 0 | X | X | 100.00 | 61 | 45 | 94 | 72 | 67 | 72 | 75 | 66 | 64 | 68 | 68 | 62 | 62 | 54 | 47 | 54 | 50 | 62 | 0 | 27 | 3 | 800,000$ | |||
| 6 | Kirill Slepets | 0 | X | X | 100.00 | 59 | 45 | 95 | 72 | 65 | 76 | 76 | 65 | 70 | 65 | 61 | 68 | 60 | 54 | 48 | 58 | 50 | 62 | 0 | 27 | 3 | 800,000$ | |||
| 7 | Robin Kovacs | 0 | X | X | 100.00 | 65 | 45 | 89 | 70 | 71 | 65 | 68 | 68 | 56 | 65 | 65 | 65 | 60 | 54 | 47 | 46 | 50 | 62 | 0 | 29 | 1 | 650,000$ | |||
| 8 | Ruslan Iskhakov (R) | 0 | X | 100.00 | 56 | 46 | 78 | 74 | 65 | 70 | 70 | 69 | 70 | 67 | 68 | 70 | 65 | 49 | 51 | 70 | 50 | 62 | 0 | 26 | 3 | 750,000$ | ||||
| 9 | jake wise (R) | 0 | X | 100.00 | 64 | 47 | 85 | 71 | 69 | 60 | 60 | 66 | 71 | 67 | 65 | 68 | 62 | 52 | 52 | 60 | 50 | 61 | 0 | 26 | 3 | 750,000$ | ||||
| 10 | Karl Henriksson (R) | 0 | X | X | 100.00 | 66 | 53 | 61 | 73 | 67 | 70 | 70 | 67 | 58 | 65 | 69 | 70 | 65 | 49 | 51 | 70 | 50 | 61 | 0 | 25 | 3 | 750,000$ | |||
| 11 | Maxwell Gildon | 0 | X | 100.00 | 65 | 44 | 87 | 72 | 68 | 75 | 74 | 69 | 45 | 68 | 69 | 73 | 56 | 54 | 48 | 58 | 50 | 64 | 0 | 27 | 3 | 1,000,000$ | ||||
| 12 | Filip Westerlund | 0 | X | 100.00 | 70 | 53 | 87 | 72 | 68 | 73 | 72 | 58 | 45 | 60 | 58 | 68 | 57 | 52 | 45 | 58 | 50 | 61 | 0 | 27 | 3 | 700,000$ | ||||
| 13 | arvid bergstrom (R) | 0 | X | 100.00 | 53 | 46 | 84 | 71 | 64 | 67 | 67 | 64 | 45 | 63 | 64 | 67 | 61 | 45 | 45 | 80 | 50 | 60 | 0 | 21 | 3 | 750,000$ | ||||
| 14 | Ben Thomas | 0 | X | 100.00 | 66 | 47 | 89 | 70 | 69 | 68 | 69 | 57 | 45 | 60 | 62 | 64 | 57 | 53 | 46 | 50 | 50 | 60 | 0 | 30 | 1 | 700,000$ | ||||
| TEAM AVERAGE | 100.00 | 64 | 48 | 87 | 72 | 69 | 71 | 71 | 66 | 59 | 66 | 66 | 68 | 61 | 55 | 50 | 55 | 50 | 62 | |||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jon Gillies | 0 | 100.00 | 75 | 76 | 78 | 85 | 79 | 76 | 79 | 77 | 78 | 77 | 81 | 54 | 55 | 34 | 50 | 63 | 0 | 32 | 2 | 1,200,000$ | |
| Scratches | ||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 75 | 76 | 78 | 85 | 79 | 76 | 79 | 77 | 78 | 77 | 81 | 54 | 55 | 34 | 50 | 63 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mike Sullivan | 86 | 61 | 93 | 77 | 99 | 99 | 47 | USA | 57 | 2 | 100,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ben Thomas | Phantoms (Phi) | D | 30 | 1996-05-28 | CAN | No | 187 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2024-05-29 | False | False | Pro & Farm | 700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Brendan Harms | Phantoms (Phi) | LW/RW | 31 | 1994-12-02 | CAN | No | 183 Lbs | 6 ft0 | No | No | Free Agent | 2024-09-20 | No | No | 1 | 2025-08-22 | False | False | Pro & Farm | 650,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
| Filip Chlapik | Phantoms (Phi) | C | 29 | 1997-06-03 | CZE | No | 207 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | 2024-05-29 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Filip Westerlund | Phantoms (Phi) | D | 27 | 1999-04-17 | SWE | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | 2026-05-12 | False | False | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | - | - | - | - | - | - | - | 700,000$ | 700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Ivan Chekhovich | Phantoms (Phi) | LW/RW | 27 | 1999-01-04 | RUS | No | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | 2026-05-12 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Jeff Malott | Phantoms (Phi) | RW | 30 | 1996-08-07 | CAN | Yes | 215 Lbs | 6 ft5 | No | No | Free Agent | No | No | 1 | 2026-05-11 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Jon Gillies | Phantoms (Phi) | G | 32 | 1994-01-22 | USA | No | 223 Lbs | 6 ft6 | No | No | Free Agent | No | No | 2 | 2025-07-03 | False | False | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | 1,200,000$ | - | - | - | - | - | - | - | - | 1,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Kailer Yamamoto | Phantoms (Phi) | C/LW/RW | 27 | 1998-09-29 | USA | No | 178 Lbs | 5 ft9 | No | No | Free Agent | No | No | 3 | 2026-05-12 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Kale Clague | Phantoms (Phi) | D | 28 | 1998-06-05 | CAN | No | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2025-05-28 | False | False | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | 1,200,000$ | - | - | - | - | - | - | - | - | 1,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Karl Henriksson | Phantoms (Phi) | LW/RW | 25 | 2001-02-05 | SWE | Yes | 174 Lbs | 5 ft9 | No | No | Prospect | No | No | 3 | 2026-06-18 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Kirill Slepets | Phantoms (Phi) | LW/RW | 27 | 1999-04-06 | RUS | No | 165 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | 2026-05-12 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Mathieu Joseph | Phantoms (Phi) | C/LW/RW | 29 | 1997-02-09 | CAN | No | 190 Lbs | 6 ft2 | No | No | Free Agent | 2025-05-01 | No | No | 3 | 2026-05-12 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link |
| Maxwell Gildon | Phantoms (Phi) | D | 27 | 1999-05-17 | USA | No | 194 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | 2026-05-12 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Pascal Laberge | Phantoms (Phi) | C | 28 | 1998-04-09 | CAN | No | 172 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2025-05-28 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Robin Kovacs | Phantoms (Phi) | LW/RW | 29 | 1996-11-16 | SWE | No | 192 Lbs | 6 ft0 | No | No | Free Agent | No | No | 1 | 2025-08-22 | False | False | Pro & Farm | 650,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Ruslan Iskhakov | Phantoms (Phi) | C | 26 | 2000-07-22 | RUS | Yes | 152 Lbs | 5 ft8 | No | No | Prospect | No | No | 3 | 2026-05-15 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Timotej Sille | Phantoms (Phi) | LW/RW | 31 | 1995-06-22 | SVK | No | 209 Lbs | 6 ft3 | No | No | Free Agent | No | No | 1 | 2025-08-22 | False | False | Pro & Farm | 650,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Zachary Senyshyn | Phantoms (Phi) | C/LW/RW | 29 | 1997-03-30 | CAN | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2024-05-29 | False | False | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| arvid bergstrom | Phantoms (Phi) | D | 21 | 2005-06-12 | SWE | Yes | 154 Lbs | 5 ft10 | No | No | Prospect | No | No | 3 | 2026-05-15 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| jake wise | Phantoms (Phi) | C | 26 | 2000-02-28 | USA | Yes | 190 Lbs | 5 ft10 | No | No | Prospect | No | No | 3 | 2026-05-15 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 20 | 27.95 | 187 Lbs | 6 ft0 | 2.15 | 867,500$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 25 | 1 | 2 | 2 | |||
| 2 | Timotej Sille | Filip Chlapik | 25 | 1 | 2 | 2 | |
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | Filip Chlapik | Timotej Sille | 25 | 1 | 2 | 2 | |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 25 | 1 | 2 | 2 | |||
| 2 | 25 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 25 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | |||
| 2 | Zachary Senyshyn | 50 | 1 | 2 | 2 | ||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 50 | 1 | 2 | 2 | |||
| 2 | 50 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | Zachary Senyshyn | 50 | 1 | 2 | 2 | |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | 50 | 1 | 2 | 2 | |||
| 2 | Zachary Senyshyn | 50 | 1 | 2 | 2 | 50 | 1 | 2 | 2 | ||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | Zachary Senyshyn | 50 | 1 | 2 | 2 | |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , Filip Chlapik, | , Filip Chlapik | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , , Zachary Senyshyn, , |
| Goalie |
|---|
| #1 : Jon Gillies, #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 - 2025-08-25 | 16 | Crunch | - | Phantoms | - | |||||
| 3 - 2025-08-26 | 23 | Condors | - | Phantoms | - | |||||
| 6 - 2025-08-29 | 44 | Islanders | - | Phantoms | - | |||||
| 8 - 2025-08-31 | 71 | Phantoms | - | StarsF | - | |||||
| 10 - 2025-09-02 | 86 | Wolf Pack | - | Phantoms | - | |||||
| 11 - 2025-09-03 | 90 | Phantoms | - | PenguinsF | - | |||||
| 14 - 2025-09-06 | 112 | Bears | - | Phantoms | - | |||||
| 17 - 2025-09-09 | 136 | Phantoms | - | Firebirds | - | |||||
| 19 - 2025-09-11 | 152 | BruinsF | - | Phantoms | - | |||||
| 21 - 2025-09-13 | 163 | Phantoms | - | BruinsF | - | |||||
| 23 - 2025-09-15 | 174 | Phantoms | - | Comets | - | |||||
| 25 - 2025-09-17 | 190 | Monsters | - | Phantoms | - | |||||
| 28 - 2025-09-20 | 214 | Wolves | - | Phantoms | - | |||||
| 30 - 2025-09-22 | 232 | Phantoms | - | Americans | - | |||||
| 32 - 2025-09-24 | 247 | Phantoms | - | SenatorsF | - | |||||
| 33 - 2025-09-25 | 257 | Checkers | - | Phantoms | - | |||||
| 36 - 2025-09-28 | 271 | Phantoms | - | Wolf Pack | - | |||||
| 38 - 2025-09-30 | 285 | Phantoms | - | Roadrunners | - | |||||
| 39 - 2025-10-01 | 294 | BruinsF | - | Phantoms | - | |||||
| 43 - 2025-10-05 | 320 | Eagles | - | Phantoms | - | |||||
| 45 - 2025-10-07 | 337 | Phantoms | - | Iowa Wild | - | |||||
| 47 - 2025-10-09 | 350 | Moose | - | Phantoms | - | |||||
| 49 - 2025-10-11 | 365 | Phantoms | - | Canucks | - | |||||
| 51 - 2025-10-13 | 380 | Moose | - | Phantoms | - | |||||
| 53 - 2025-10-15 | 392 | Phantoms | - | Islanders | - | |||||
| 55 - 2025-10-17 | 412 | Phantoms | - | Gulls | - | |||||
| 56 - 2025-10-18 | 418 | Wolf Pack | - | Phantoms | - | |||||
| 59 - 2025-10-21 | 439 | Phantoms | - | Firebirds | - | |||||
| 61 - 2025-10-23 | 451 | Islanders | - | Phantoms | - | |||||
| 64 - 2025-10-26 | 477 | Canucks | - | Phantoms | - | |||||
| 66 - 2025-10-28 | 486 | Phantoms | - | Wolves | - | |||||
| 68 - 2025-10-30 | 502 | Phantoms | - | PenguinsF | - | |||||
| 69 - 2025-10-31 | 517 | Wolves | - | Phantoms | - | |||||
| 72 - 2025-11-03 | 535 | Phantoms | - | Checkers | - | |||||
| 74 - 2025-11-05 | 549 | Checkers | - | Phantoms | - | |||||
| 76 - 2025-11-07 | 566 | Phantoms | - | Checkers | - | |||||
| 78 - 2025-11-09 | 580 | Rocket | - | Phantoms | - | |||||
| 80 - 2025-11-11 | 600 | Phantoms | - | PenguinsF | - | |||||
| 81 - 2025-11-12 | 610 | Phantoms | - | BruinsF | - | |||||
| 83 - 2025-11-14 | 620 | Bears | - | Phantoms | - | |||||
| 86 - 2025-11-17 | 640 | Reign | - | Phantoms | - | |||||
| 87 - 2025-11-18 | 654 | Phantoms | - | Rocket | - | |||||
| 91 - 2025-11-22 | 673 | Phantoms | - | Wolves | - | |||||
| 92 - 2025-11-23 | 682 | Islanders | - | Phantoms | - | |||||
| 95 - 2025-11-26 | 704 | Griffins | - | Phantoms | - | |||||
| 97 - 2025-11-28 | 720 | Phantoms | - | Rocket | - | |||||
| 100 - 2025-12-01 | 740 | PenguinsF | - | Phantoms | - | |||||
| 102 - 2025-12-03 | 752 | Phantoms | - | StarsF | - | |||||
| 104 - 2025-12-05 | 769 | Condors | - | Phantoms | - | |||||
| 107 - 2025-12-08 | 791 | Phantoms | - | Crunch | - | |||||
| 109 - 2025-12-10 | 803 | Admirals | - | Phantoms | - | |||||
| 112 - 2025-12-13 | 828 | Rocket | - | Phantoms | - | |||||
| 114 - 2025-12-15 | 845 | Phantoms | - | Wolf Pack | - | |||||
| 116 - 2025-12-17 | 860 | Americans | - | Phantoms | - | |||||
| 118 - 2025-12-19 | 872 | Phantoms | - | Barracuda | - | |||||
| 120 - 2025-12-21 | 890 | Phantoms | - | SenatorsF | - | |||||
| 121 - 2025-12-22 | 898 | Wranglers | - | Phantoms | - | |||||
| 125 - 2025-12-26 | 925 | Phantoms | - | Marlies | - | |||||
| 126 - 2025-12-27 | 931 | Firebirds | - | Phantoms | - | |||||
| 130 - 2025-12-31 | 958 | Monsters | - | Phantoms | - | |||||
| 132 - 2026-01-02 | 978 | Phantoms | - | Silver Knights | - | |||||
| 134 - 2026-01-04 | 991 | Gulls | - | Phantoms | - | |||||
| 137 - 2026-01-07 | 1016 | Marlies | - | Phantoms | - | |||||
| 139 - 2026-01-09 | 1031 | Phantoms | - | Comets | - | |||||
| 142 - 2026-01-12 | 1049 | PenguinsF | - | Phantoms | - | |||||
| 143 - 2026-01-13 | 1054 | Phantoms | - | Americans | - | |||||
| 146 - 2026-01-16 | 1075 | Phantoms | - | Marlies | - | |||||
| 147 - 2026-01-17 | 1087 | Comets | - | Phantoms | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 149 - 2026-01-19 | 1103 | Phantoms | - | Moose | - | |||||
| 152 - 2026-01-22 | 1119 | Firebirds | - | Phantoms | - | |||||
| 154 - 2026-01-24 | 1134 | Phantoms | - | Moose | - | |||||
| 156 - 2026-01-26 | 1149 | Marlies | - | Phantoms | - | |||||
| 158 - 2026-01-28 | 1162 | Phantoms | - | Icehogs | - | |||||
| 160 - 2026-01-30 | 1182 | Comets | - | Phantoms | - | |||||
| 164 - 2026-02-03 | 1208 | SenatorsF | - | Phantoms | - | |||||
| 166 - 2026-02-05 | 1220 | Phantoms | - | Thunderbirds | - | |||||
| 168 - 2026-02-07 | 1228 | Phantoms | - | Islanders | - | |||||
| 170 - 2026-02-09 | 1239 | Phantoms | - | Crunch | - | |||||
| 172 - 2026-02-11 | 1254 | SenatorsF | - | Phantoms | - | |||||
| 175 - 2026-02-14 | 1280 | Phantoms | - | Bears | - | |||||
| 176 - 2026-02-15 | 1291 | Americans | - | Phantoms | - | |||||
| 180 - 2026-02-19 | 1313 | Crunch | - | Phantoms | - | |||||
| 181 - 2026-02-20 | 1323 | Phantoms | - | Bears | - | |||||
| 183 - 2026-02-22 | 1343 | Phantoms | - | Admirals | - | |||||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 45 | 30 |
| Attendance | 0% | 0% |
| Attendance PCT | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 42 | 0 - 0% | 0$ | 0$ | 3000 | 125 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 0$ | 1,735,000$ | 1,735,000$ | 100,000$0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 184 | 9,973$ | 1,835,032$ |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| 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 |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|