|  | London Assassins 0-0-0, 0pts · 2nd in Orr Conference | 
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Mavrik Bourque (R) | 22 | C/RW | 100.00 | 67 | 40 | 94 | 71 | 66 | 56 | 88 | 64 | 74 | 66 | 67 | 73 | 54 | 56 | 58 | 72 | 75 | 72 | 22 | 894,167$/1yrs | |||
|  Matias Mantykivi (R) | 32 | C | 100.00 | 64 | 64 | 83 | 67 | 64 | 58 | 88 | 62 | 70 | 60 | 60 | 61 | 57 | 41 | 41 | 67 | 75 | 67 | 23 | ||||
|  Isaac Howard (R) | 10 | LW | 100.00 | 66 | 66 | 91 | 63 | 66 | 56 | 80 | 61 | 57 | 56 | 61 | 59 | 58 | 33 | 33 | 65 | 75 | 65 | 20 | 875,000$/1yrs | |||
|  Justin Hryckowian (R) | 9 | C/LW | 100.00 | 65 | 67 | 89 | 63 | 67 | 55 | 76 | 60 | 59 | 56 | 60 | 59 | 57 | 37 | 37 | 64 | 75 | 64 | 23 | 1,000,000$/4yrs | |||
|  Cooper Marody | 65 | C/RW | 100.00 | 65 | 67 | 85 | 67 | 66 | 57 | 65 | 62 | 66 | 60 | 61 | 44 | 58 | 43 | 43 | 63 | 75 | 63 | 27 | ||||
|  Graeme Clarke (R) | 95 | LW/RW | 100.00 | 65 | 64 | 86 | 63 | 64 | 56 | 83 | 58 | 45 | 53 | 60 | 47 | 57 | 41 | 41 | 63 | 75 | 63 | 23 | ||||
|  Brandon Lisowsky (R) | 96 | LW | 100.00 | 65 | 63 | 87 | 64 | 64 | 55 | 75 | 55 | 32 | 47 | 58 | 51 | 55 | 40 | 40 | 61 | 75 | 61 | 20 | ||||
|  Jan Jenik (R) | 41 | C/LW/RW | 100.00 | 65 | 70 | 73 | 63 | 70 | 54 | 74 | 56 | 50 | 49 | 57 | 53 | 54 | 37 | 37 | 61 | 75 | 61 | 23 | ||||
|  Isak Walther (R) | 62 | RW | 100.00 | 67 | 76 | 87 | 63 | 76 | 53 | 71 | 48 | 52 | 44 | 47 | 46 | 45 | 32 | 32 | 58 | 75 | 58 | 22 | ||||
|  Raphael Lavoie (R) (C) | 50 | C/RW | 100.00 | 58 | 54 | 70 | 62 | 82 | 65 | 11 | 60 | 56 | 58 | 61 | 63 | 55 | 61 | 57 | 57 | 75 | 57 | 23 | ||||
|  Dmitri Ovchinnikov (R) | 97 | C/LW | 100.00 | 65 | 62 | 92 | 62 | 62 | 52 | 55 | 50 | 25 | 45 | 50 | 48 | 48 | 37 | 37 | 56 | 75 | 56 | 21 | ||||
|  Daniil Gushchin (R) | 75 | LW/RW | 100.00 | 58 | 40 | 81 | 63 | 61 | 55 | 14 | 54 | 51 | 61 | 55 | 65 | 54 | 55 | 58 | 55 | 75 | 55 | 22 | 828,334$/1yrs | |||
|  Jordan Oesterle | 82 | D | 100.00 | 60 | 44 | 89 | 78 | 67 | 66 | 45 | 59 | 41 | 64 | 61 | 76 | 55 | 69 | 61 | 66 | 75 | 66 | 32 | ||||
|  Andreas Englund (A) | 39 | D | 100.00 | 68 | 89 | 88 | 67 | 77 | 58 | 42 | 53 | 40 | 60 | 56 | 84 | 54 | 60 | 58 | 65 | 75 | 65 | 28 | ||||
|  Spencer Stastney (R) | 81 | D | 100.00 | 57 | 48 | 81 | 83 | 68 | 63 | 28 | 57 | 41 | 62 | 56 | 71 | 55 | 59 | 58 | 61 | 75 | 61 | 24 | ||||
|  William Lagesson | 84 | D | 100.00 | 65 | 74 | 80 | 64 | 74 | 54 | 58 | 50 | 25 | 43 | 41 | 76 | 39 | 43 | 43 | 61 | 75 | 61 | 28 | ||||
|  Topi Niemela (R) | 49 | D | 100.00 | 65 | 66 | 85 | 65 | 66 | 56 | 83 | 50 | 25 | 43 | 40 | 53 | 38 | 38 | 38 | 59 | 75 | 59 | 22 | 856,667$/1yrs | |||
|  John Ludvig (R) | 7 | D | 100.00 | 58 | 52 | 70 | 66 | 77 | 64 | 10 | 57 | 41 | 61 | 55 | 65 | 55 | 61 | 58 | 56 | 75 | 56 | 23 | 450,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
|  Rafael Harvey-Pinard | 49 | LW/RW | 100.00 | 65 | 64 | 88 | 63 | 64 | 55 | 66 | 55 | 50 | 55 | 52 | 56 | 49 | 47 | 47 | 60 | 75 | 60 | 25 | 1,100,000$/1yrs | |||
|  Roni Hirvonen (R) | 52 | C/LW/RW | 100.00 | 65 | 63 | 89 | 63 | 64 | 54 | 72 | 54 | 32 | 47 | 57 | 52 | 54 | 37 | 37 | 60 | 75 | 60 | 22 | 856,667$/1yrs | |||
|  Tuukka Tieksola (R) | 80 | RW | 100.00 | 65 | 64 | 89 | 63 | 64 | 55 | 76 | 52 | 34 | 48 | 50 | 43 | 48 | 35 | 35 | 59 | 75 | 59 | 23 | ||||
|  Matthew Seminoff (R) | 42 | C/RW | 100.00 | 65 | 66 | 87 | 63 | 65 | 51 | 81 | 48 | 27 | 44 | 47 | 56 | 45 | 41 | 41 | 59 | 75 | 59 | 20 | ||||
|  Marcus Kallionkieli (R) | 53 | LW | 100.00 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 75 | 11 | 23 | ||||
|  Jett Woo (R) | 4 | D | 100.00 | 65 | 73 | 66 | 64 | 73 | 54 | 83 | 48 | 25 | 41 | 40 | 68 | 38 | 45 | 45 | 62 | 75 | 62 | 23 | 650,000$/1yrs | |||
|  Ben Hutton (A) | 15 | D | 100.00 | 62 | 40 | 93 | 70 | 79 | 58 | 13 | 52 | 40 | 65 | 53 | 75 | 54 | 69 | 59 | 59 | 75 | 59 | 31 | ||||
|  Tomas Hamara (R) | 98 | D | 100.00 | 65 | 69 | 81 | 64 | 69 | 54 | 68 | 49 | 25 | 42 | 41 | 58 | 39 | 35 | 35 | 58 | 75 | 58 | 20 | 625,000$/1yrs | |||
|  Anttoni Honka (R) | 60 | D | 100.00 | 65 | 65 | 85 | 66 | 65 | 58 | 79 | 53 | 25 | 43 | 48 | 47 | 46 | 40 | 40 | 58 | 75 | 58 | 23 | ||||
|  Joni Jurmo (R) | 68 | D | 100.00 | 65 | 77 | 83 | 63 | 77 | 53 | 55 | 46 | 25 | 35 | 40 | 59 | 38 | 34 | 34 | 55 | 75 | 55 | 22 | ||||
| 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Daniil Tarasov | 40 | 100.00 | 65 | 58 | 67 | 89 | 90 | 61 | 72 | 64 | 80 | 69 | 86 | 59 | 55 | 68 | 75 | 68 | 25 | 1,050,000$/1yrs | 
|  Pheonix Copley | 59 | 100.00 | 49 | 56 | 67 | 69 | 49 | 56 | 49 | 49 | 49 | 49 | 42 | 48 | 48 | 49 | 75 | 49 | 32 | 550,000$/2yrs | 
| Scratches | ||||||||||||||||||||
|  Daniil Isayev | 92 | 100.00 | 66 | 55 | 66 | 58 | 66 | 73 | 66 | 66 | 66 | 66 | 59 | 46 | 46 | 60 | 75 | 60 | 24 | |
|  Roman Will | 92 | 100.00 | 55 | 55 | 65 | 59 | 55 | 62 | 55 | 55 | 55 | 55 | 48 | 61 | 61 | 52 | 75 | 52 | 32 | |
|  Vadim Zherenko | 1 | 100.00 | 51 | 53 | 63 | 68 | 51 | 58 | 51 | 51 | 51 | 51 | 44 | 39 | 39 | 50 | 75 | 50 | 23 | |
|  Henrik Tikkanen | 70 | 100.00 | 44 | 50 | 65 | 78 | 44 | 51 | 44 | 44 | 44 | 44 | 37 | 34 | 34 | 47 | 75 | 47 | 23 | |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | 
|---|
| General Manager | 
|---|
| 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 | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | 
|---|
| 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 | 
|---|
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| Andreas Englund | D | 28 | 0$ | RFA | |||||||
| Anttoni Honka | D | 23 | 0$ | RFA | |||||||
| Ben Hutton | D | 31 | 0$ | ||||||||
| Brandon Lisowsky | LW | 20 | 0$ | ||||||||
| Cooper Marody | C/RW | 27 | 0$ | RFA | |||||||
| Daniil Gushchin | LW/RW | 22 | 828,334$ | 828,334$ | |||||||
| Daniil Isayev | G | 24 | 0$ | RFA | |||||||
| Daniil Tarasov | G | 25 | 1,050,000$ | 1,050,000$ | RFA | ||||||
| Dmitri Ovchinnikov | C/LW | 21 | 0$ | ||||||||
| Graeme Clarke | LW/RW | 23 | 0$ | RFA | |||||||
| Henrik Tikkanen | G | 23 | 0$ | RFA | |||||||
| Isaac Howard | LW | 20 | 875,000$ | 875,000$ | |||||||
| Isak Walther | RW | 22 | 0$ | RFA | |||||||
| Jan Jenik | C/LW/RW | 23 | 0$ | RFA | |||||||
| Jett Woo | D | 23 | 650,000$ | 650,000$ | RFA | ||||||
| John Ludvig | D | 23 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | |||
| Joni Jurmo | D | 22 | 0$ | ||||||||
| Jordan Oesterle | D | 32 | 0$ | UFA | |||||||
| Justin Hryckowian | C/LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||
| Marcus Kallionkieli | LW | 23 | 0$ | RFA | |||||||
| Matias Mantykivi | C | 23 | 0$ | RFA | |||||||
| Matthew Seminoff | C/RW | 20 | 0$ | ||||||||
| Mavrik Bourque | C/RW | 22 | 894,167$ | 894,167$ | |||||||
| Pheonix Copley | G | 32 | 550,000$ | 550,000$ | 550,000$ | UFA | |||||
| Rafael Harvey-Pinard | LW/RW | 25 | 1,100,000$ | 1,100,000$ | RFA | ||||||
| Raphael Lavoie | C/RW | 23 | 0$ | RFA | |||||||
| Roman Will | G | 32 | 0$ | UFA | |||||||
| Roni Hirvonen | C/LW/RW | 22 | 856,667$ | 856,667$ | |||||||
| Spencer Stastney | D | 24 | 0$ | RFA | |||||||
| Tomas Hamara | D | 20 | 625,000$ | 625,000$ | |||||||
| Topi Niemela | D | 22 | 856,667$ | 856,667$ | |||||||
| Tuukka Tieksola | RW | 23 | 0$ | RFA | |||||||
| Vadim Zherenko | G | 23 | 0$ | RFA | |||||||
| William Lagesson | D | 28 | 0$ | RFA | 
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| Goalies | |||||||
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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 | 
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | nan | nan | nan | 0 | 0.000 | nan | nan | nan | 0 | 0 | 0 | 0 | 0 | 0 | nan | 0 | 0 | 0 | 0 | nan | nan | nan | nan | nan | nan | 0.00% | nan | nan | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | nan | nan | nan | nan | nan | nan | nan% | nan% | nan% | nan | Unlucky | 
| Puck Time | |
|---|---|
| Offensive Zone | NAN | 
| Neutral Zone | NAN | 
| Defensive Zone | NAN | 
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 | 
| Neutral Zone Start | 0 | 
| Defensive Zone Start | 0 | 
| Puck Time | |
|---|---|
| With Puck | NAN | 
| Without Puck | NAN | 
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 | 
| Faceoffs Lost | 0 | 
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | nan | 9.57 | 
| 2nd Period | nan | 20.31 | 
| 3rd Period | nan | 30.68 | 
| Overtime | nan | 31.4 | 
| Goals in | Team Average Goals after | League Average Goals after | 
|---|---|---|
| 1st Period | nan | 0.64 | 
| 2nd Period | nan | 1.65 | 
| 3rd Period | nan | 2.67 | 
| Overtime | nan | 2.83 | 
| Even Strenght Goal | 0 | 
|---|---|
| PP Goal | 0 | 
| PK Goal | 0 | 
| Empty Net Goal | 0 | 
| Home | Away | |
|---|---|---|
| Win | 0 | 0 | 
| Lost | 0 | 0 | 
| Overtime Lost | 0 | 0 | 
| PP Attempt | 0 | 
|---|---|
| PP Goal | 0 | 
| PK Attempt | 0 | 
| PK Goal Against | 0 | 
| Home | |
|---|---|
| Shots For | nan | 
| Shots Against | nan | 
| Goals For | nan | 
| Goals Against | nan | 
| Hits | nan | 
| Shots Blocked | nan | 
| Pim | nan | 
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space | 
| 973,584$ | 0$ | 0$ | 75,000,000$ | 
| Arena | About us | |
|---|---|---|
|   | Name | |
| City | London | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |  | 
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ | 
| Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 
| Income | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |   | 
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity | 
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value | 
| 973,584$ | 973,584$ | 0$ | 0$ | 
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | 
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ | 
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses | 
| 0$ | 0 | 0$ | 0$ | 
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account | 
| 0$ | 0$ | 0$ | 0$ | 
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor | 
 Rookie
 Rookie Injured
Injured  Cold Streak
Cold Streak  Hot Streak
Hot Streak | Left Wing | Center | Right Wing | 
|---|---|---|
|  |  |  | 
| Defense #1 | Defense #2 | Goalie | 
|---|---|---|
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