| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Torrey Birdsell | 0 | C | 100.00 | 77 | 66 | 76 | 86 | 93 | 96 | 53 | 94 | 92 | 68 | 62 | 67 | 70 | 82 | 34 | 12 | 50 | 78 | 33 | 1,700,000$/1yrs | |||
Frederic Maidens | 55 | LW | 100.00 | 37 | 55 | 77 | 99 | 52 | 99 | 88 | 97 | 58 | 87 | 59 | 55 | 70 | 54 | 87 | 22 | 50 | 77 | 30 | 1,960,000$/3yrs | |||
Wendel Mackaness | 81 | RW | 100.00 | 99 | 35 | 71 | 73 | 72 | 89 | 69 | 85 | 63 | 57 | 71 | 99 | 92 | 80 | 52 | 52 | 50 | 76 | 25 | 1,990,999$/1yrs | |||
Tim Humonen | 28 | C | 100.00 | 57 | 58 | 94 | 94 | 70 | 67 | 61 | 86 | 90 | 58 | 63 | 89 | 77 | 40 | 60 | 6 | 50 | 74 | 34 | 1,330,000$/2yrs | |||
Victor Shier | 12 | C | 100.00 | 90 | 52 | 92 | 91 | 67 | 95 | 49 | 97 | 94 | 60 | 57 | 30 | 73 | 53 | 90 | 0 | 50 | 71 | 36 | 1,100,000$/1yrs | |||
Deric Murray (R) | 26 | LW | 100.00 | 92 | 32 | 59 | 83 | 50 | 99 | 64 | 82 | 46 | 37 | 79 | 99 | 44 | 91 | 47 | 71 | 50 | 71 | 22 | 800,000$/2yrs | |||
Kirt Legare (R) | 99 | LW | 100.00 | 85 | 59 | 78 | 89 | 48 | 88 | 63 | 85 | 82 | 63 | 50 | 59 | 43 | 49 | 45 | 66 | 50 | 70 | 22 | 800,000$/2yrs | |||
Yuvenaly Zhornyak (R) | 86 | D | 100.00 | 90 | 55 | 93 | 80 | 58 | 72 | 60 | 74 | 25 | 81 | 54 | 81 | 78 | 92 | 43 | 59 | 50 | 73 | 23 | 800,000$/1yrs | |||
Loik Lowrey | 43 | D | 100.00 | 64 | 69 | 86 | 74 | 57 | 76 | 66 | 72 | 25 | 65 | 65 | 98 | 72 | 91 | 47 | 6 | 50 | 72 | 35 | 1,850,000$/1yrs | |||
Misa Ylaja (R) | 78 | D | 100.00 | 66 | 46 | 73 | 81 | 84 | 80 | 62 | 61 | 25 | 49 | 35 | 99 | 74 | 40 | 85 | 64 | 50 | 72 | 22 | 1,950,000$/4yrs | |||
Edward Krook | 0 | D | 100.00 | 90 | 36 | 91 | 99 | 63 | 63 | 54 | 73 | 25 | 62 | 52 | 80 | 91 | 62 | 55 | 35 | 50 | 71 | 29 | 1,990,999$/1yrs | |||
Vince Varady | 6 | D | 100.00 | 54 | 53 | 57 | 82 | 47 | 86 | 60 | 85 | 25 | 80 | 35 | 98 | 54 | 76 | 90 | 64 | 50 | 69 | 23 | 1,300,000$/4yrs | |||
Teo Rutar (R) | 0 | D | 100.00 | 84 | 31 | 78 | 80 | 70 | 77 | 56 | 78 | 25 | 51 | 30 | 84 | 94 | 35 | 40 | 63 | 50 | 69 | 24 | 1,990,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Anton Lebed | 25 | RW | 100.00 | 89 | 64 | 82 | 91 | 99 | 84 | 65 | 93 | 68 | 78 | 56 | 59 | 64 | 68 | 62 | 27 | 50 | 78 | 30 | 1,450,000$/2yrs | |||
Lindon Stallworth | 23 | RW | 100.00 | 56 | 41 | 87 | 92 | 96 | 75 | 67 | 89 | 61 | 60 | 71 | 77 | 73 | 59 | 96 | 22 | 50 | 76 | 30 | 1,600,000$/5yrs | |||
Devon Guptill | 55 | C | 100.00 | 50 | 41 | 64 | 99 | 82 | 70 | 97 | 97 | 85 | 52 | 61 | 78 | 65 | 52 | 53 | 27 | 50 | 76 | 31 | 1,470,000$/3yrs | |||
Erin Corderoy (R) | 27 | LW | 100.00 | 31 | 47 | 73 | 84 | 99 | 90 | 99 | 90 | 70 | 57 | 36 | 80 | 47 | 58 | 45 | 72 | 50 | 75 | 22 | 800,000$/2yrs | |||
Graeme Hampshire | 0 | RW | 100.00 | 81 | 36 | 78 | 76 | 94 | 59 | 50 | 80 | 86 | 84 | 44 | 91 | 93 | 53 | 52 | 20 | 50 | 74 | 32 | 900,000$/1yrs | |||
Coy Hillis | 20 | C | 100.00 | 28 | 36 | 95 | 74 | 66 | 64 | 95 | 87 | 99 | 72 | 84 | 37 | 56 | 74 | 97 | 35 | 50 | 73 | 27 | 1,456,817$/3yrs | |||
Clayton Ferriero (R) | 71 | RW | 100.00 | 99 | 44 | 87 | 95 | 97 | 70 | 55 | 89 | 77 | 49 | 69 | 53 | 86 | 51 | 35 | 73 | 50 | 73 | 23 | 800,000$/1yrs | |||
Matus Pietor (R) | 0 | RW | 100.00 | 85 | 32 | 55 | 97 | 50 | 74 | 91 | 81 | 68 | 54 | 53 | 89 | 44 | 63 | 87 | 57 | 50 | 72 | 24 | 1,723,786$/5yrs | |||
Codey Ainsworth | 15 | LW | 100.00 | 97 | 50 | 73 | 94 | 92 | 61 | 47 | 95 | 51 | 52 | 46 | 91 | 74 | 76 | 78 | 1 | 50 | 71 | 36 | 1,770,000$/1yrs | |||
Jacobus Adriaanse (R) | 0 | C | 100.00 | 98 | 50 | 56 | 91 | 96 | 82 | 53 | 80 | 60 | 58 | 90 | 24 | 58 | 82 | 60 | 64 | 50 | 71 | 22 | 1,852,000$/4yrs | |||
Piers Grinlee (R) | 0 | LW | 100.00 | 68 | 59 | 85 | 88 | 77 | 64 | 84 | 89 | 45 | 61 | 46 | 53 | 55 | 77 | 32 | 54 | 50 | 69 | 24 | 1,500,000$/2yrs | |||
Rainar Lamminsivu (R) | 0 | LW | 100.00 | 94 | 54 | 91 | 89 | 58 | 69 | 62 | 78 | 74 | 54 | 67 | 61 | 34 | 45 | 43 | 69 | 50 | 69 | 24 | 990,000$/2yrs | |||
Fernando Langlois (R) | 0 | D | 100.00 | 71 | 54 | 97 | 79 | 55 | 66 | 67 | 99 | 25 | 86 | 61 | 71 | 55 | 47 | 61 | 50 | 50 | 71 | 25 | 1,998,999$/1yrs | |||
Yaroslav Kalyayev | 8 | D | 100.00 | 66 | 58 | 79 | 66 | 79 | 71 | 50 | 92 | 25 | 37 | 48 | 89 | 87 | 74 | 79 | 54 | 50 | 68 | 25 | ||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hansjurgen Thom | 33 | 100.00 | 89 | 73 | 76 | 67 | 81 | 81 | 87 | 83 | 71 | 72 | 69 | 77 | 86 | 55 | 50 | 78 | 19 | 900,000$/2yrs |
Fabio-Luca Aebischer | 30 | 100.00 | 73 | 85 | 86 | 68 | 64 | 77 | 83 | 78 | 74 | 64 | 80 | 75 | 66 | 65 | 50 | 75 | 20 | 1,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Carl-Johan Paakkala | 0 | 100.00 | 79 | 88 | 75 | 73 | 99 | 65 | 88 | 69 | 56 | 65 | 69 | 54 | 59 | 59 | 50 | 76 | 24 | 1,684,690$/3yrs |
Jindrich Bojko | 0 | 100.00 | 87 | 59 | 50 | 75 | 84 | 53 | 60 | 48 | 91 | 91 | 68 | 75 | 63 | 58 | 50 | 70 | 25 | 1,600,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Tosha Sotnikov | 86 | 56 | 90 | 95 | 39 | 54 | 71 | RUS | 58 | 3 | 500,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Gabriel Bossé |
|---|
| 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 | MPG | 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 | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Lebed ![]() | RW | 30 | 1,450,000$ | 1,450,000$ | 1,450,000$ | ||||||
Carl-Johan Paakkala | G | 24 | 1,684,690$ | 1,684,690$ | 1,684,690$ | 1,684,690$ | |||||
Clayton Ferriero | RW | 23 | 800,000$ | 800,000$ | |||||||
Codey Ainsworth ![]() | LW | 36 | 1,770,000$ | 1,770,000$ | |||||||
Coy Hillis ![]() | C | 27 | 1,456,817$ | 1,456,817$ | 1,456,817$ | 1,456,817$ | |||||
Deric Murray | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Devon Guptill ![]() | C | 31 | 1,470,000$ | 1,470,000$ | 1,470,000$ | 1,470,000$ | |||||
Edward Krook ![]() | D | 29 | 1,990,999$ | 1,990,999$ | |||||||
Erin Corderoy | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Fabio-Luca Aebischer | G | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Fernando Langlois ![]() | D | 25 | 1,998,999$ | 1,998,999$ | |||||||
Frederic Maidens ![]() | LW | 30 | 1,960,000$ | 1,960,000$ | 1,960,000$ | 1,960,000$ | |||||
Graeme Hampshire ![]() | RW | 32 | 900,000$ | 900,000$ | |||||||
Hansjurgen Thom | G | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Jacobus Adriaanse | C | 22 | 1,852,000$ | 1,852,000$ | 1,852,000$ | 1,852,000$ | 1,852,000$ | ||||
Jindrich Bojko ![]() | G | 25 | 1,600,000$ | 1,600,000$ | |||||||
Kirt Legare | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Lindon Stallworth ![]() | RW | 30 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||
Loik Lowrey ![]() | D | 35 | 1,850,000$ | 1,850,000$ | |||||||
Matus Pietor | RW | 24 | 1,723,786$ | 1,723,786$ | 1,723,786$ | 1,723,786$ | 1,723,786$ | 1,723,786$ | |||
Misa Ylaja | D | 22 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | ||||
Piers Grinlee | LW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Rainar Lamminsivu | LW | 24 | 990,000$ | 990,000$ | 990,000$ | ||||||
Teo Rutar | D | 24 | 1,990,000$ | 1,990,000$ | 1,990,000$ | ||||||
Tim Humonen ![]() | C | 34 | 1,330,000$ | 1,330,000$ | 1,330,000$ | ||||||
Torrey Birdsell ![]() | C | 33 | 1,700,000$ | 1,700,000$ | |||||||
Victor Shier ![]() | C | 36 | 1,100,000$ | 1,100,000$ | |||||||
Vince Varady | D | 23 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||
Wendel Mackaness ![]() | RW | 25 | 1,990,999$ | 1,990,999$ | |||||||
Yaroslav Kalyayev ![]() | D | 25 | 0$ | 0$ | |||||||
Yuvenaly Zhornyak | D | 23 | 800,000$ | 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 |
| # | 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 |
| 4,305,829$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Rimouski | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| 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 | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,305,829$ | 4,305,829$ | 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
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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