 | Tucson Roadrunners 0-0-0, 0pts · 6th in Conference Ouest |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Owen Beck (R) | 0 | C | 100.00 | 50 | 34 | 83 | 60 | 72 | 75 | 60 | 62 | 56 | 50 | 50 | 62 | 56 | 59 | 60 | 79 | 75 | 0 | 20 | 885,000$/2yrs | |||
 Jiri Kulich (R) | 0 | RW | 100.00 | 68 | 38 | 88 | 67 | 75 | 91 | 82 | 65 | 63 | 58 | 64 | 62 | 66 | 61 | 67 | 82 | 75 | 0 | 20 | 918,333$/2yrs | |||
| Joakim Kemell (R) | 0 | RW | 100.00 | 60 | 37 | 89 | 65 | 69 | 88 | 74 | 63 | 66 | 64 | 62 | 60 | 65 | 61 | 62 | 85 | 75 | 0 | 20 | 918,333$/2yrs | |||
| William Dufour (R) | 0 | RW | 100.00 | 72 | 40 | 78 | 59 | 85 | 86 | 83 | 57 | 55 | 56 | 58 | 59 | 54 | 63 | 64 | 56 | 75 | 0 | 22 | 859,167$/1yrs | |||
| Caedan Bankier (R) | 0 | C | 100.00 | 70 | 39 | 86 | 61 | 79 | 85 | 69 | 58 | 62 | 56 | 60 | 57 | 59 | 61 | 63 | 64 | 75 | 0 | 21 | 867,500$/2yrs | |||
 Dryden Hunt | 73 | LW | 100.00 | 78 | 53 | 80 | 66 | 73 | 84 | 82 | 63 | 69 | 65 | 61 | 62 | 64 | 70 | 72 | 36 | 75 | 0 | 28 | 775,000$/1yrs | |||
 Nathan Staios (R) | 0 | D | 100.00 | 66 | 54 | 74 | 56 | 70 | 69 | 80 | 56 | 30 | 56 | 54 | 55 | 47 | 63 | 63 | 55 | 75 | 0 | 23 | 859,167$/1yrs | |||
 Pavel Mintyukov (R) | 0 | D | 100.00 | 68 | 35 | 88 | 71 | 76 | 89 | 72 | 67 | 30 | 73 | 59 | 68 | 53 | 60 | 65 | 86 | 75 | 0 | 20 | 918,333$/2yrs | |||
 Jacob Moverare | 30 | D | 100.00 | 72 | 39 | 86 | 63 | 85 | 75 | 83 | 58 | 30 | 61 | 59 | 64 | 50 | 66 | 68 | 58 | 75 | 0 | 25 | 775,000$/2yrs | |||
| Logan Mailloux (R) | 0 | D | 100.00 | 75 | 42 | 67 | 65 | 87 | 89 | 73 | 64 | 30 | 66 | 58 | 62 | 50 | 61 | 63 | 78 | 75 | 0 | 21 | 875,000$/2yrs | |||
 Parker Wotherspoon | 37 | D | 100.00 | 69 | 54 | 74 | 65 | 76 | 85 | 78 | 63 | 30 | 66 | 58 | 70 | 50 | 67 | 69 | 51 | 75 | 0 | 26 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
 Samu Tuomaala (R) | 0 | RW | 100.00 | 58 | 36 | 95 | 62 | 67 | 81 | 72 | 61 | 65 | 63 | 59 | 56 | 60 | 61 | 63 | 74 | 75 | 0 | 21 | 830,833$/2yrs | |||
 Karel Plasek (R) | 0 | LW | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 80 | 75 | 0 | 23 | ||||
| Kevin Wall (R) | 0 | C | 100.00 | 63 | 37 | 91 | 57 | 72 | 79 | 68 | 56 | 53 | 54 | 55 | 52 | 56 | 64 | 66 | 48 | 75 | 0 | 24 | ||||
| Ivan Ivan (R) | 0 | C | 100.00 | 63 | 37 | 91 | 58 | 72 | 79 | 72 | 56 | 66 | 59 | 57 | 55 | 58 | 62 | 64 | 46 | 75 | 0 | 21 | 845,000$/2yrs | |||
| Ryan Suzuki | 39 | C | 100.00 | 61 | 37 | 91 | 63 | 70 | 75 | 78 | 62 | 68 | 61 | 60 | 64 | 62 | 63 | 65 | 80 | 75 | 0 | 23 | 775,000$/1yrs | |||
| Mike Hardman | 0 | C/LW/RW | 100.00 | 77 | 38 | 85 | 63 | 81 | 79 | 84 | 62 | 58 | 56 | 60 | 61 | 59 | 65 | 67 | 42 | 75 | 0 | 25 | ||||
 Gerry Mayhew | 7 | C/RW | 100.00 | 62 | 38 | 75 | 61 | 63 | 84 | 86 | 60 | 65 | 58 | 62 | 56 | 61 | 72 | 74 | 27 | 75 | 0 | 31 | ||||
| Nick Swaney (R) | 0 | RW | 100.00 | 76 | 33 | 83 | 62 | 66 | 75 | 60 | 62 | 50 | 52 | 50 | 57 | 56 | 66 | 67 | 42 | 75 | 0 | 26 | ||||
 Mitchell Stephens | 36 | C | 100.00 | 65 | 38 | 84 | 63 | 75 | 82 | 86 | 61 | 70 | 62 | 60 | 66 | 63 | 67 | 69 | 66 | 75 | 0 | 27 | ||||
| Mikael Diotte (R) | 0 | D | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 75 | 75 | 0 | 21 | 762,500$/2yrs | |||
| Santeri Hatakka (R) | 0 | D | 100.00 | 67 | 38 | 82 | 63 | 76 | 81 | 72 | 58 | 30 | 64 | 55 | 66 | 48 | 63 | 65 | 49 | 75 | 0 | 23 | ||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Devon Levi | 0 | 100.00 | 82 | 80 | 76 | 73 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 63 | 70 | 59 | 75 | 0 | 22 | 925,000$/1yrs |
| Samuel Ersson | 0 | 100.00 | 86 | 90 | 86 | 82 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 65 | 73 | 54 | 75 | 0 | 24 | 1,450,000$/2yrs |
| Scratches | ||||||||||||||||||||
| Hugo Alnefelt | 0 | 100.00 | 76 | 82 | 78 | 77 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 63 | 72 | 65 | 75 | 0 | 23 | |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ian Laperriere | 77 | 68 | 67 | 66 | 77 | 72 | 76 | CAN | 50 | 1 | 500,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | 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 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Caedan Bankier  | C | 21 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
| Devon Levi | G | 22 | 925,000$ | 925,000$ | RFA | ||||||
| Dryden Hunt | LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
| Gerry Mayhew | C/RW | 31 | 0$ | UFA | |||||||
| Hugo Alnefelt | G | 23 | 0$ | RFA | |||||||
| Ivan Ivan | C | 21 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
| Jacob Moverare | D | 25 | 775,000$ | 775,000$ | 775,000$ |  RFA | |||||
| Jiri Kulich | RW | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
| Joakim Kemell | RW | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
| Karel Plasek | LW | 23 | 0$ | RFA | |||||||
| Kevin Wall | C | 24 | 0$ | RFA | |||||||
| Logan Mailloux | D | 21 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
| Mikael Diotte | D | 21 | 762,500$ | 762,500$ | 762,500$ | RFA | |||||
| Mike Hardman | C/LW/RW | 25 | 0$ | RFA | |||||||
| Mitchell Stephens | C | 27 | 0$ | UFA | |||||||
| Nathan Staios | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
| Nick Swaney | RW | 26 | 0$ | RFA | |||||||
| Owen Beck | C | 20 | 885,000$ | 885,000$ | 885,000$ | RFA | |||||
| Parker Wotherspoon | D | 26 | 800,000$ | 800,000$ | RFA | ||||||
| Pavel Mintyukov | D | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
| Ryan Suzuki | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Samu Tuomaala | RW | 21 | 830,833$ | 830,833$ | 830,833$ | RFA | |||||
| Samuel Ersson | G | 24 | 1,450,000$ | 1,450,000$ | 1,450,000$ | RFA | |||||
| Santeri Hatakka | D | 23 | 0$ | RFA | |||||||
| William Dufour | RW | 22 | 859,167$ | 859,167$ | RFA |
| Forward Lines | |||||||
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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 | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 0.0 | 9.57 |
| 2nd Period | 0.0 | 20.31 |
| 3rd Period | 0.0 | 30.68 |
| Overtime | 0.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 0.0 | 2.67 |
| Overtime | 0.0 | 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 | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,201,416$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Tucson | |
| Capacity | 8000 | |
| Season Ticket Holders | 20% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 5000 | 3000 | |||
| 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 | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 36 | 0 - 0.00% | 0$ | 0$ | 8000 | 110 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,201,416$ | 1,201,416$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 6,161$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 192 | 8,725$ | 1,701,375$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,701,375$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
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Rookie
Injured 
Cold Streak 
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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