Last update: 2023-09-29 16:12:27
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Michael Carcone | 0 | C/LW | 100.00 | 58 | 58 | 62 | 66 | 57 | 66 | 64 | 65 | 55 | 63 | 65 | 61 | 56 | 63 | 58 | 0 | 50 | 66 | 27 | 750,000$/3yrs | |||
 Drew O'Connor | 0 | LW | 100.00 | 68 | 48 | 76 | 62 | 71 | 59 | 63 | 58 | 58 | 64 | 60 | 67 | 54 | 58 | 56 | 0 | 50 | 65 | 25 | 750,000$/3yrs | |||
 Justin Dowling | 0 | C/RW | 100.00 | 58 | 52 | 75 | 59 | 62 | 63 | 62 | 61 | 68 | 63 | 59 | 63 | 54 | 70 | 62 | 0 | 50 | 64 | 32 | 750,000$/2yrs | |||
 Brett Murray | 0 | C/LW | 100.00 | 55 | 57 | 65 | 60 | 74 | 67 | 65 | 61 | 55 | 58 | 61 | 60 | 54 | 60 | 56 | 0 | 50 | 64 | 25 | 762,500$/2yrs | |||
 Paul Byron | 41 | C | 100.00 | 69 | 38 | 89 | 55 | 53 | 62 | 66 | 57 | 65 | 64 | 59 | 65 | 57 | 67 | 64 | 0 | 50 | 64 | 34 | 750,000$/1yrs | |||
 William Bitten | 0 | C/RW | 100.00 | 55 | 60 | 66 | 62 | 59 | 67 | 65 | 60 | 55 | 58 | 61 | 61 | 59 | 60 | 56 | 0 | 50 | 63 | 25 | 858,333$/2yrs | |||
 Brad Malone | 0 | C/RW | 100.00 | 58 | 55 | 65 | 60 | 72 | 63 | 61 | 57 | 69 | 59 | 56 | 63 | 54 | 74 | 64 | 0 | 50 | 63 | 34 | 762,500$/2yrs | |||
 Danila Klimovich (R) | 0 | RW | 100.00 | 55 | 56 | 64 | 60 | 67 | 66 | 65 | 58 | 55 | 56 | 59 | 62 | 54 | 51 | 51 | 0 | 50 | 62 | 20 | 894,167$/3yrs | |||
 Mike Hardman | 0 | LW/RW | 100.00 | 57 | 53 | 68 | 59 | 68 | 64 | 62 | 57 | 55 | 57 | 57 | 59 | 54 | 58 | 55 | 0 | 50 | 62 | 24 | 800,000$/2yrs | |||
 Elliot Desnoyers (R) | 0 | C/LW | 100.00 | 52 | 55 | 65 | 57 | 58 | 64 | 61 | 58 | 52 | 55 | 59 | 58 | 51 | 51 | 49 | 0 | 50 | 60 | 21 | 854,167$/2yrs | |||
| Tyson Kozak (R) | 0 | C | 100.00 | 52 | 52 | 62 | 54 | 53 | 62 | 60 | 53 | 67 | 52 | 53 | 57 | 51 | 51 | 49 | 0 | 50 | 57 | 20 | 850,000$/2yrs | |||
 Mark Friedman | 0 | D | 100.00 | 64 | 63 | 75 | 59 | 68 | 65 | 60 | 56 | 40 | 64 | 56 | 74 | 54 | 59 | 58 | 0 | 50 | 65 | 27 | 775,000$/2yrs | |||
 Jack Ahcan | 0 | D | 100.00 | 55 | 54 | 66 | 60 | 58 | 66 | 64 | 59 | 40 | 59 | 56 | 61 | 54 | 62 | 57 | 0 | 50 | 62 | 26 | 750,000$/3yrs | |||
 Zach Giuttari | 0 | D | 100.00 | 55 | 54 | 67 | 59 | 63 | 65 | 63 | 56 | 40 | 56 | 55 | 63 | 54 | 63 | 58 | 0 | 50 | 62 | 27 | 750,000$/1yrs | |||
| Simon Edvinsson | 0 | D | 100.00 | 54 | 50 | 60 | 56 | 69 | 63 | 59 | 55 | 38 | 56 | 55 | 58 | 51 | 49 | 49 | 0 | 50 | 60 | 20 | 1,744,167$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
 Miles Wood | 0 | LW | 100.00 | 70 | 58 | 72 | 65 | 74 | 66 | 78 | 59 | 52 | 69 | 62 | 64 | 54 | 66 | 65 | 0 | 50 | 68 | 28 | 3,200,000$/7yrs | |||
 Matthew Highmore | 0 | C/LW/RW | 100.00 | 58 | 54 | 72 | 62 | 64 | 67 | 68 | 63 | 54 | 64 | 61 | 64 | 58 | 62 | 58 | 0 | 50 | 66 | 27 | 750,000$/2yrs | |||
 Jesper Froden | 0 | RW | 100.00 | 56 | 57 | 69 | 59 | 60 | 62 | 61 | 60 | 54 | 61 | 60 | 64 | 55 | 65 | 59 | 0 | 50 | 63 | 29 | 750,000$/1yrs | |||
 Anton Stralman | 0 | D | 100.00 | 61 | 47 | 77 | 65 | 69 | 70 | 69 | 56 | 40 | 62 | 56 | 71 | 54 | 83 | 67 | 0 | 50 | 67 | 37 | 1,000,000$/1yrs | |||
 Matt Bartkowski | 0 | D | 100.00 | 56 | 54 | 65 | 59 | 64 | 67 | 65 | 56 | 40 | 56 | 55 | 59 | 54 | 77 | 66 | 0 | 50 | 62 | 35 | 750,000$/1yrs | |||
 Matt Tennyson | 0 | D | 100.00 | 56 | 54 | 64 | 58 | 67 | 67 | 65 | 57 | 40 | 57 | 54 | 63 | 54 | 74 | 64 | 0 | 50 | 62 | 33 | 750,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Eric Comrie | 0 | 100.00 | 69 | 64 | 66 | 75 | 78 | 69 | 78 | 66 | 77 | 68 | 82 | 58 | 56 | 0 | 50 | 72 | 28 | 1,800,000$/2yrs |
 Michael Hutchinson | 0 | 100.00 | 57 | 61 | 61 | 76 | 70 | 67 | 69 | 61 | 69 | 64 | 59 | 70 | 61 | 0 | 50 | 67 | 33 | 750,000$/1yrs |
| Scratches | ||||||||||||||||||||
 Victor Brattstrom | 0 | 100.00 | 57 | 60 | 60 | 72 | 65 | 55 | 65 | 60 | 59 | 58 | 59 | 62 | 56 | 0 | 50 | 62 | 26 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Wayne Gretzky | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 62 | 5 | 0$ |
| 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% | EG | HT | P/GP | PSG | PSS | GSAVG |
|---|
| 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 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Stralman  | D | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Brad Malone | C/RW | 34 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
| Brett Murray | C/LW | 25 | 762,500$ | 762,500$ | 775,000$ |  RFA | |||||
Danila Klimovich  | RW | 20 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
| Drew O'Connor | LW | 25 | 750,000$ | 750,000$ | 925,000$ | 925,000$ | UFA | ||||
| Elliot Desnoyers | C/LW | 21 | 854,167$ | 854,167$ | 854,167$ | RFA | |||||
| Eric Comrie | G | 28 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
| Jack Ahcan | D | 26 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
| Jesper Froden | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
| Justin Dowling | C/RW | 32 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
| Mark Friedman | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
| Matt Bartkowski | D | 35 | 750,000$ | 775,000$ | UFA | ||||||
| Matt Tennyson | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
| Matthew Highmore | C/LW/RW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
| Michael Carcone | C/LW | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
| Michael Hutchinson | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
| Mike Hardman | LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
| Miles Wood | LW | 28 | 3,200,000$ | 3,200,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA |
| Paul Byron | C | 34 | 750,000$ | 3,400,000$ | UFA | ||||||
| Simon Edvinsson | D | 20 | 1,744,167$ | 1,744,167$ | 1,744,167$ | 1,744,167$ | RFA | ||||
| Tyson Kozak | C | 20 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
| Victor Brattstrom | G | 26 | 750,000$ | 750,000$ | UFA | ||||||
| William Bitten | C/RW | 25 | 858,333$ | 762,500$ | 762,500$ | RFA | |||||
| Zach Giuttari | D | 27 | 750,000$ | 775,000$ | UFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
| 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 | 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 |
| 0$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Coachella Valley | |
| Capacity | 4000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
| Arena Capacity | 2000 | 2000 | |||
| 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 4000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 0$ | 0$ | 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 |
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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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