Full Scoreboard ยป |
Henderson Silver Knights 0-0-0, 0pts · 2nd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tyler Boucher (R) | 51 | LW/RW | 100.00 | 69 | 48 | 61 | 58 | 78 | 79 | 63 | 57 | 55 | 56 | 56 | 53 | 57 | 61 | 63 | 86 | 75 | 0 | 21 | 897,167$/1yrs | |||
Josh Doan (R) | 42 | RW | 100.00 | 64 | 37 | 88 | 69 | 74 | 86 | 76 | 67 | 60 | 66 | 72 | 63 | 69 | 62 | 68 | 76 | 75 | 0 | 22 | 925,000$/2yrs | |||
Mackie Samoskevich (R) | 20 | RW | 100.00 | 62 | 36 | 89 | 66 | 69 | 89 | 72 | 64 | 67 | 65 | 58 | 59 | 66 | 63 | 64 | 81 | 75 | 0 | 21 | 925,000$/1yrs | |||
Sean Farrell (R) | 6 | C/LW | 100.00 | 55 | 35 | 94 | 64 | 66 | 83 | 69 | 63 | 66 | 61 | 62 | 60 | 64 | 63 | 65 | 58 | 75 | 0 | 22 | 897,500$/1yrs | |||
Marco Rossi (R) (C) | 82 | C | 100.00 | 60 | 38 | 79 | 72 | 68 | 91 | 89 | 73 | 75 | 70 | 69 | 66 | 74 | 63 | 67 | 85 | 75 | 0 | 22 | 1,000,000$/1yrs | |||
Tyson Hinds (R) | 5 | D | 100.00 | 72 | 40 | 81 | 55 | 81 | 63 | 72 | 54 | 30 | 53 | 52 | 56 | 45 | 61 | 63 | 66 | 75 | 0 | 21 | 829,444$/2yrs | |||
Jacob Bernard-Docker (R) | 3 | D | 100.00 | 68 | 41 | 84 | 67 | 72 | 83 | 85 | 64 | 30 | 66 | 60 | 74 | 51 | 64 | 66 | 78 | 75 | 0 | 23 | 805,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Brock Caufield | 66 | RW | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 75 | 0 | 25 | ||||
Luke Evangelista | 50 | RW | 100.00 | 62 | 36 | 92 | 71 | 73 | 85 | 89 | 72 | 70 | 71 | 68 | 65 | 73 | 62 | 63 | 74 | 75 | 0 | 22 | 797,500$/1yrs | |||
Karl Henriksson (R) | 71 | C/LW | 100.00 | 57 | 36 | 93 | 59 | 65 | 73 | 85 | 58 | 61 | 56 | 57 | 53 | 58 | 63 | 65 | 69 | 75 | 0 | 23 | ||||
Filip Cederqvist (R) (A) | 45 | LW | 100.00 | 74 | 40 | 84 | 58 | 83 | 78 | 80 | 57 | 54 | 56 | 56 | 59 | 55 | 64 | 66 | 53 | 75 | 0 | 23 | ||||
Glenn Gawdin | 11 | C | 100.00 | 69 | 39 | 75 | 63 | 76 | 87 | 84 | 62 | 69 | 61 | 59 | 66 | 62 | 67 | 69 | 51 | 75 | 0 | 27 | ||||
Antti Saarela (R) | 0 | C | 100.00 | 60 | 37 | 93 | 56 | 69 | 67 | 64 | 53 | 58 | 54 | 55 | 52 | 57 | 63 | 65 | 58 | 75 | 0 | 23 | 925,000$/1yrs | |||
Jan Jenik | 14 | RW | 100.00 | 67 | 40 | 68 | 63 | 74 | 84 | 77 | 61 | 67 | 62 | 58 | 64 | 63 | 65 | 67 | 66 | 75 | 0 | 23 | ||||
Jakub Lauko | 76 | C/LW | 100.00 | 79 | 45 | 74 | 66 | 76 | 78 | 82 | 64 | 67 | 62 | 60 | 63 | 66 | 64 | 65 | 62 | 75 | 0 | 24 | 787,500$/1yrs | |||
Josiah Slavin | 22 | LW | 100.00 | 72 | 40 | 85 | 59 | 81 | 69 | 86 | 58 | 55 | 56 | 57 | 60 | 58 | 66 | 68 | 47 | 75 | 0 | 25 | ||||
Matthew Poitras (R) | 0 | C | 100.00 | 62 | 34 | 95 | 72 | 68 | 82 | 66 | 69 | 75 | 67 | 63 | 65 | 64 | 59 | 63 | 72 | 75 | 0 | 20 | 950,000$/2yrs | |||
Nathan Legare (R) | 2 | RW | 100.00 | 66 | 42 | 69 | 58 | 75 | 80 | 83 | 57 | 53 | 54 | 56 | 59 | 55 | 63 | 65 | 67 | 75 | 0 | 23 | 775,000$/1yrs | |||
Stephen Halliday (R) | 0 | C | 100.00 | 77 | 39 | 94 | 62 | 86 | 71 | 60 | 58 | 74 | 65 | 50 | 61 | 54 | 63 | 64 | 62 | 75 | 0 | 21 | 950,000$/2yrs | |||
Declan Chisholm | 20 | D | 100.00 | 64 | 39 | 85 | 66 | 75 | 84 | 78 | 65 | 30 | 69 | 61 | 64 | 52 | 64 | 66 | 48 | 75 | 0 | 24 | ||||
Donovan Sebrango | 39 | D | 100.00 | 66 | 44 | 69 | 54 | 75 | 62 | 73 | 53 | 30 | 55 | 52 | 56 | 45 | 62 | 64 | 68 | 75 | 0 | 22 | 902,500$/1yrs | |||
Jett Woo | 9 | D | 100.00 | 66 | 44 | 64 | 61 | 75 | 72 | 84 | 57 | 30 | 60 | 55 | 56 | 48 | 64 | 66 | 74 | 75 | 0 | 23 | ||||
Lassi Thomson | 23 | D | 100.00 | 65 | 38 | 78 | 63 | 72 | 77 | 83 | 62 | 30 | 60 | 57 | 59 | 47 | 64 | 66 | 81 | 75 | 0 | 23 |
Priority | Type | Description |
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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 |
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Scratches | ||||||||||||||||||||
Evan Fitzpatrick | 1 | 100.00 | 67 | 66 | 66 | 86 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 65 | 73 | 47 | 75 | 0 | 26 | |
Drew Commesso | 32 | 100.00 | 77 | 78 | 73 | 77 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 62 | 69 | 74 | 75 | 0 | 21 | 925,000$/2yrs |
Aaron Dell | 0 | 100.00 | 75 | 80 | 74 | 77 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 76 | 89 | 43 | 75 | 0 | 35 | |
Ken Appleby | 97 | 100.00 | 63 | 56 | 57 | 88 | 62 | 61 | 63 | 62 | 61 | 63 | 62 | 68 | 81 | 36 | 75 | 0 | 29 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Manny Viveiros | 71 | 67 | 64 | 68 | 91 | 85 | 58 | CAN | 59 | 1 | 500,000$ |
General Manager |
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Priority | Type | Description |
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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 |
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Priority | Type | Description |
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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 |
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Player Name | POS | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Aaron Dell | G | 35 | 0$ | UFA | |||||||
Antti Saarela | C | 23 | 925,000$ | 925,000$ | RFA | ||||||
Brock Caufield | RW | 25 | 0$ | RFA | |||||||
Declan Chisholm | D | 24 | 0$ | RFA | |||||||
Donovan Sebrango | D | 22 | 902,500$ | 902,500$ | RFA | ||||||
Drew Commesso | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Evan Fitzpatrick | G | 26 | 0$ | RFA | |||||||
Filip Cederqvist | LW | 23 | 0$ | RFA | |||||||
Glenn Gawdin | C | 27 | 0$ | UFA | |||||||
Jacob Bernard-Docker | D | 23 | 805,000$ | 805,000$ | RFA | ||||||
Jakub Lauko | C/LW | 24 | 787,500$ | 787,500$ | RFA | ||||||
Jan Jenik | RW | 23 | 0$ | RFA | |||||||
Jett Woo | D | 23 | 0$ | RFA | |||||||
Josh Doan | RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Josiah Slavin | LW | 25 | 0$ | RFA | |||||||
Karl Henriksson | C/LW | 23 | 0$ | RFA | |||||||
Ken Appleby | G | 29 | 0$ | UFA | |||||||
Lassi Thomson | D | 23 | 0$ | RFA | |||||||
Luke Evangelista | RW | 22 | 797,500$ | 797,500$ | RFA | ||||||
Mackie Samoskevich | RW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Marco Rossi | C | 22 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Matthew Poitras | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Nathan Legare | RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Sean Farrell | C/LW | 22 | 897,500$ | 897,500$ | RFA | ||||||
Stephen Halliday | C | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Tyler Boucher | LW/RW | 21 | 897,167$ | 897,167$ | RFA | ||||||
Tyson Hinds | D | 21 | 829,444$ | 829,444$ | 829,444$ | RFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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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 |
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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 | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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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 |
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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 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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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 | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,169,911$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Henderson | |
Capacity | 11000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | |||
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$ | 11000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,169,911$ | 1,169,911$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 6,000$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 8,564$ | 1,669,980$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,669,980$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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