| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| GM: Matt Spenrath | League Rank:13rd | Arena: Nanaimo Arena |
| Conference: Western Conference | Conference Rank:7th | Capacity:3,000 |
| Division: Southwest | Division Rank:3rd | Total Player Salaries:3,459,718$ |
| Captain: Kuno Watter | Last 10: 0-0-0 | |
| Coach: Arvid Persson | Home: 0-0-0 | |
| All-Time Record: 202 W - 160 L - 38 OTL | Away: 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kuno Watter (C) | 87 | RW | 100.00 | 90 | 44 | 55 | 86 | 93 | 88 | 79 | 95 | 75 | 53 | 84 | 84 | 71 | 54 | 66 | 66 | 50 | 80 | 24 | 1,999,999$/3yrs | |||
Brantt Mackaness (R) (A) | 88 | RW | 100.00 | 43 | 49 | 64 | 61 | 92 | 97 | 79 | 88 | 88 | 84 | 58 | 90 | 28 | 57 | 63 | 75 | 50 | 79 | 22 | 800,000$/1yrs | |||
Velijussi Ahopelto (R) | 11 | C | 100.00 | 99 | 51 | 73 | 72 | 47 | 99 | 99 | 69 | 91 | 59 | 65 | 91 | 87 | 56 | 70 | 70 | 50 | 76 | 22 | 900,000$/1yrs | |||
Sebastien Poplawski (R) (A) | 22 | LW | 100.00 | 55 | 59 | 86 | 72 | 63 | 79 | 58 | 55 | 61 | 85 | 94 | 99 | 32 | 88 | 69 | 70 | 50 | 75 | 22 | 800,000$/2yrs | |||
Jochen Mock (R) | 90 | LW | 100.00 | 86 | 71 | 64 | 75 | 84 | 89 | 74 | 89 | 68 | 48 | 91 | 69 | 79 | 79 | 67 | 75 | 50 | 75 | 19 | 900,000$/3yrs | |||
Aro Joki (R) | 92 | LW | 100.00 | 85 | 63 | 51 | 87 | 88 | 73 | 69 | 56 | 74 | 70 | 78 | 90 | 71 | 76 | 72 | 84 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
Arne Culliton (R) | 16 | C | 100.00 | 66 | 44 | 87 | 84 | 56 | 99 | 63 | 61 | 76 | 57 | 80 | 99 | 74 | 30 | 29 | 70 | 50 | 74 | 21 | 900,000$/3yrs | |||
Dillon Gellert (R) | 63 | LW | 100.00 | 69 | 44 | 61 | 86 | 78 | 77 | 93 | 60 | 66 | 56 | 78 | 83 | 78 | 63 | 30 | 74 | 50 | 74 | 21 | 800,000$/3yrs | |||
Urban Kielevainen (R) | 21 | RW | 100.00 | 45 | 33 | 56 | 71 | 84 | 84 | 87 | 64 | 88 | 57 | 70 | 86 | 72 | 32 | 67 | 70 | 50 | 73 | 21 | 800,000$/3yrs | |||
Davin Opitz (R) | 10 | C | 100.00 | 66 | 47 | 76 | 73 | 61 | 73 | 76 | 88 | 99 | 63 | 67 | 69 | 35 | 37 | 46 | 74 | 50 | 72 | 21 | 800,000$/3yrs | |||
Dawson Albert (R) | 50 | C | 100.00 | 65 | 55 | 84 | 57 | 80 | 85 | 72 | 95 | 99 | 56 | 43 | 64 | 90 | 55 | 62 | 66 | 50 | 70 | 23 | 1,000,000$/1yrs | |||
Berthold Jansch (R) | 12 | RW | 100.00 | 86 | 26 | 89 | 88 | 76 | 99 | 65 | 60 | 64 | 31 | 41 | 92 | 63 | 87 | 88 | 73 | 50 | 69 | 21 | 1,660,000$/1yrs | |||
Braden Dodd | 65 | D | 100.00 | 99 | 48 | 81 | 69 | 96 | 77 | 76 | 89 | 25 | 70 | 51 | 68 | 38 | 40 | 53 | 19 | 50 | 77 | 32 | 1,634,175$/1yrs | |||
Horst Horcic (R) | 3 | D | 100.00 | 84 | 37 | 98 | 97 | 94 | 77 | 53 | 69 | 25 | 58 | 74 | 79 | 34 | 53 | 44 | 55 | 50 | 77 | 25 | 1,313,000$/1yrs | |||
Max Pirie (R) | 4 | D | 100.00 | 75 | 63 | 68 | 80 | 85 | 79 | 75 | 37 | 79 | 67 | 56 | 93 | 64 | 58 | 70 | 60 | 50 | 76 | 20 | 1,000,000$/2yrs | |||
Reinhold Asp | 55 | D | 100.00 | 57 | 69 | 67 | 89 | 96 | 58 | 52 | 61 | 25 | 79 | 35 | 97 | 41 | 67 | 81 | 0 | 50 | 74 | 37 | 1,999,999$/1yrs | |||
Urs Peter Bachmeier (R) | 59 | D | 100.00 | 43 | 65 | 54 | 84 | 75 | 83 | 84 | 67 | 74 | 73 | 88 | 54 | 59 | 69 | 59 | 70 | 50 | 74 | 20 | 800,000$/3yrs | |||
Benjamin Haab (R) | 74 | D | 100.00 | 83 | 60 | 70 | 68 | 74 | 75 | 77 | 63 | 81 | 75 | 69 | 83 | 77 | 69 | 65 | 65 | 50 | 74 | 18 | 900,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Andrew Granfelt | 15 | C | 100.00 | 75 | 50 | 95 | 53 | 67 | 85 | 62 | 85 | 96 | 81 | 84 | 71 | 59 | 71 | 62 | 0 | 50 | 76 | 38 | 1,850,000$/1yrs | |||
Hannes Klenk (R) | 18 | LW | 100.00 | 63 | 69 | 82 | 82 | 81 | 92 | 62 | 59 | 66 | 77 | 72 | 77 | 57 | 79 | 75 | 57 | 50 | 75 | 19 | 800,000$/2yrs | |||
Grant Giliati | 23 | RW | 100.00 | 29 | 68 | 94 | 63 | 68 | 79 | 70 | 91 | 74 | 41 | 95 | 94 | 40 | 59 | 55 | 1 | 50 | 72 | 36 | 750,000$/1yrs | |||
Troy Carnaghan (R) | 9 | LW | 100.00 | 65 | 49 | 65 | 64 | 82 | 68 | 90 | 83 | 56 | 44 | 91 | 87 | 34 | 50 | 84 | 53 | 50 | 72 | 25 | 900,000$/1yrs | |||
Nils Almkvist (R) | 13 | C | 100.00 | 74 | 55 | 79 | 57 | 50 | 67 | 58 | 66 | 99 | 96 | 95 | 44 | 38 | 87 | 62 | 70 | 50 | 71 | 23 | 800,000$/1yrs | |||
Tomas Lauckner | 41 | LW | 100.00 | 84 | 39 | 62 | 55 | 55 | 67 | 49 | 60 | 89 | 73 | 85 | 90 | 71 | 80 | 46 | 42 | 50 | 69 | 28 | 890,000$/1yrs | |||
Kalervo Kivonen | 5 | D | 100.00 | 99 | 66 | 69 | 92 | 64 | 98 | 89 | 78 | 25 | 66 | 70 | 64 | 37 | 84 | 89 | 3 | 50 | 78 | 34 | 1,500,000$/1yrs | |||
Liam Casselman | 25 | D | 100.00 | 39 | 36 | 82 | 85 | 69 | 64 | 88 | 71 | 25 | 92 | 75 | 69 | 87 | 58 | 61 | 4 | 50 | 76 | 34 | 1,400,000$/1yrs | |||
Shannon Debrusk | 48 | D | 100.00 | 95 | 46 | 61 | 63 | 92 | 57 | 76 | 89 | 25 | 52 | 62 | 87 | 71 | 44 | 54 | 0 | 50 | 74 | 35 | 1,999,997$/2yrs | |||
Pauli-Johannes Ponniainen | 62 | D | 100.00 | 35 | 38 | 94 | 93 | 38 | 63 | 59 | 94 | 25 | 67 | 50 | 96 | 94 | 97 | 42 | 45 | 50 | 66 | 27 | 1,200,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alain Crawford | 40 | 100.00 | 70 | 62 | 99 | 80 | 85 | 96 | 52 | 56 | 99 | 85 | 97 | 30 | 76 | 68 | 50 | 78 | 23 | 800,000$/1yrs |
Teo Ramstadius | 80 | 100.00 | 70 | 88 | 99 | 90 | 90 | 67 | 65 | 48 | 57 | 71 | 45 | 40 | 38 | 79 | 50 | 74 | 21 | 900,000$/2yrs |
| Scratches | ||||||||||||||||||||
Alcott Tindall | 30 | 100.00 | 62 | 90 | 71 | 76 | 54 | 93 | 49 | 79 | 64 | 48 | 69 | 70 | 89 | 77 | 50 | 69 | 21 | 800,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Arvid Persson | 53 | 85 | 80 | 85 | 43 | 78 | 49 | SWE | 40 | 1 | 350,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Matt Spenrath |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alain Crawford | G | 23 | 800,000$ | 800,000$ | |||||||
Alcott Tindall | G | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Andrew Granfelt ![]() | C | 38 | 1,850,000$ | 1,850,000$ | |||||||
Arne Culliton | C | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Aro Joki | LW | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Benjamin Haab | D | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Berthold Jansch | RW | 21 | 1,660,000$ | 1,660,000$ | |||||||
Braden Dodd ![]() | D | 32 | 1,634,175$ | 1,634,175$ | |||||||
Brantt Mackaness | RW | 22 | 800,000$ | 800,000$ | |||||||
Davin Opitz | C | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Dawson Albert | C | 23 | 1,000,000$ | 1,000,000$ | |||||||
Dillon Gellert | LW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Grant Giliati ![]() | RW | 36 | 750,000$ | 750,000$ | |||||||
Hannes Klenk | LW | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Horst Horcic ![]() | D | 25 | 1,313,000$ | 1,313,000$ | |||||||
Jochen Mock | LW | 19 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Kalervo Kivonen ![]() | D | 34 | 1,500,000$ | 1,500,000$ | |||||||
Kuno Watter | RW | 24 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Liam Casselman ![]() | D | 34 | 1,400,000$ | 1,400,000$ | |||||||
Max Pirie | D | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Nils Almkvist | C | 23 | 800,000$ | 800,000$ | |||||||
Pauli-Johannes Ponniainen ![]() | D | 27 | 1,200,000$ | 1,200,000$ | |||||||
Reinhold Asp ![]() | D | 37 | 1,999,999$ | 1,999,999$ | |||||||
Sebastien Poplawski | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Shannon Debrusk ![]() | D | 35 | 1,999,997$ | 1,999,997$ | 1,999,997$ | ||||||
Teo Ramstadius | G | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Tomas Lauckner ![]() | LW | 28 | 890,000$ | 890,000$ | |||||||
Troy Carnaghan ![]() | LW | 25 | 900,000$ | 900,000$ | |||||||
Urban Kielevainen | RW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Urs Peter Bachmeier | D | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Velijussi Ahopelto | C | 22 | 900,000$ | 900,000$ |
| 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 |
| 3,459,718$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Nanaimo | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 27$ | 17$ | $ | $ | $ |
| 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 |
| 3,459,718$ | 3,459,718$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 3,459,718$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 147 | 25,916$ | 3,809,652$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,809,652$ | 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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