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Vancouver Canucks 0-0-0, 0pts · 14th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 67 | 42 | 92 | 85 | 66 | 72 | 78 | 80 | 72 | 74 | 75 | 68 | 25 | 55 | 55 | 75 | 50 | 0 | 19 | 950,000$/3yrs | |||
![]() | 0 | C | 100.00 | 67 | 42 | 86 | 85 | 66 | 74 | 99 | 79 | 79 | 79 | 87 | 75 | 25 | 60 | 61 | 82 | 50 | 0 | 20 | 894,167$/2yrs | |||
![]() | 0 | RW | 100.00 | 97 | 70 | 70 | 85 | 77 | 74 | 76 | 74 | 44 | 71 | 82 | 65 | 37 | 83 | 85 | 77 | 50 | 0 | 32 | 5,125,000$/3yrs | |||
![]() | 0 | C | 100.00 | 71 | 42 | 87 | 87 | 66 | 83 | 71 | 92 | 70 | 85 | 83 | 64 | 75 | 52 | 52 | 81 | 50 | 0 | 18 | 950,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 87 | 91 | 78 | 90 | 69 | 68 | 91 | 64 | 35 | 62 | 60 | 86 | 75 | 71 | 74 | 70 | 50 | 0 | 31 | 3,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 55 | 39 | 91 | 88 | 59 | 79 | 98 | 85 | 25 | 86 | 68 | 61 | 51 | 77 | 78 | 73 | 50 | 0 | 30 | 9,750,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 98 | 47 | 88 | 77 | 76 | 61 | 83 | 65 | 36 | 62 | 59 | 83 | 45 | 88 | 92 | 69 | 50 | 0 | 35 | 1,750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 81 | 44 | 89 | 81 | 70 | 72 | 99 | 66 | 59 | 64 | 68 | 83 | 25 | 66 | 68 | 73 | 50 | 0 | 25 | 1,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 91 | 70 | 78 | 78 | 75 | 77 | 84 | 84 | 75 | 72 | 74 | 77 | 25 | 88 | 92 | 77 | 50 | 0 | 35 | 4,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 53 | 86 | 82 | 67 | 67 | 95 | 70 | 63 | 76 | 66 | 69 | 25 | 75 | 76 | 72 | 50 | 0 | 30 | 2,000,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 69 | 42 | 91 | 78 | 68 | 73 | 94 | 78 | 32 | 78 | 70 | 70 | 49 | 79 | 85 | 74 | 50 | 0 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 41 | 97 | 78 | 62 | 59 | 57 | 69 | 33 | 68 | 76 | 65 | 25 | 55 | 55 | 71 | 50 | 0 | 22 | 796,667$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 99 | 61 | 65 | 85 | 65 | 77 | 63 | 25 | 51 | 48 | 87 | 25 | 65 | 66 | 62 | 50 | 0 | 29 | 1,275,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 89 | 78 | 67 | 66 | 72 | 67 | 64 | 25 | 54 | 47 | 88 | 25 | 49 | 49 | 64 | 50 | 0 | 26 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 87 | 83 | 77 | 84 | 90 | 68 | 25 | 68 | 48 | 89 | 25 | 82 | 91 | 67 | 50 | 0 | 34 | 6,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 43 | 83 | 82 | 66 | 75 | 85 | 63 | 25 | 49 | 47 | 85 | 25 | 69 | 70 | 63 | 50 | 0 | 29 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 71 | 83 | 82 | 86 | 76 | 94 | 64 | 25 | 51 | 48 | 83 | 25 | 66 | 68 | 65 | 50 | 0 | 24 | 2,294,150$/2yrs | |||
![]() | 0 | D | 100.00 | 99 | 90 | 75 | 72 | 79 | 71 | 88 | 64 | 25 | 45 | 47 | 86 | 25 | 62 | 62 | 63 | 50 | 0 | 25 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 81 | 56 | 86 | 69 | 68 | 51 | 79 | 66 | 25 | 59 | 55 | 70 | 75 | 64 | 65 | 63 | 50 | 0 | 26 | 850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 69 | 53 | 86 | 79 | 76 | 56 | 87 | 66 | 31 | 61 | 68 | 70 | 53 | 83 | 86 | 69 | 50 | 0 | 34 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 42 | 95 | 70 | 68 | 54 | 66 | 64 | 61 | 79 | 64 | 65 | 25 | 65 | 65 | 68 | 50 | 0 | 30 | 1,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 99 | 82 | 64 | 75 | 60 | 77 | 25 | 60 | 48 | 67 | 25 | 63 | 63 | 62 | 53 | 0 | 23 | 2,600,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 88 | 70 | 67 | 72 | 78 | 62 | 25 | 54 | 48 | 83 | 25 | 59 | 59 | 62 | 54 | 0 | 23 | 1,400,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 77 | 56 | 85 | 79 | 71 | 70 | 82 | 71 | 41 | 66 | 62 | 76 | 36 | 69 | 70 | 70 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 63 | 74 | 72 | 81 | 65 | 60 | 69 | 64 | 65 | 63 | 75 | 59 | 59 | 65 | 50 | 0 | 27 | 2,725,000$/2yrs |
![]() | 0 | 100.00 | 64 | 64 | 64 | 89 | 66 | 62 | 69 | 64 | 65 | 64 | 65 | 62 | 62 | 65 | 50 | 0 | 27 | 2,350,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 64 | 69 | 68 | 85 | 66 | 61 | 69 | 64 | 65 | 64 | 70 | 61 | 61 | 65 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 71 | 43 | 95 | 81 | 69 | 54 | 76 | 64 | 55 | 50 | 55 | 75 | 53 | 69 | 71 | 63 | 70 | 0 | 26 | 4,750,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 99 | 47 | 87 | 79 | 69 | 57 | 62 | 67 | 37 | 60 | 55 | 63 | 25 | 59 | 59 | 63 | 72 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 43 | 96 | 76 | 85 | 65 | 89 | 66 | 41 | 74 | 58 | 79 | 25 | 61 | 61 | 68 | 70 | 0 | 22 | 789,167$/1yrs | |||
![]() | 0 | RW | 100.00 | 96 | 46 | 84 | 73 | 68 | 63 | 83 | 68 | 45 | 69 | 59 | 66 | 41 | 59 | 59 | 67 | 70 | 0 | 23 | 760,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 85 | 45 | 88 | 82 | 71 | 63 | 95 | 65 | 25 | 59 | 70 | 75 | 25 | 60 | 61 | 72 | 68 | 0 | 24 | 1,250,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 72 | 99 | 72 | 72 | 32 | 30 | 44 | 55 | 38 | 44 | 62 | 42 | 44 | 44 | 51 | 72 | 0 | 19 | 950,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 72 | 68 | 82 | 66 | 68 | 67 | 69 | 59 | 50 | 51 | 63 | 62 | 60 | 44 | 44 | 62 | 70 | 0 | 20 | 894,167$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 41 | 94 | 81 | 64 | 55 | 69 | 65 | 25 | 68 | 55 | 69 | 25 | 56 | 56 | 64 | 70 | 0 | 23 | 762,500$/1yrs | |||
![]() | 0 | LW | 100.00 | 86 | 45 | 88 | 74 | 68 | 59 | 85 | 63 | 33 | 61 | 59 | 81 | 25 | 61 | 61 | 68 | 70 | 0 | 24 | 762,500$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 91 | 81 | 75 | 75 | 81 | 62 | 25 | 45 | 48 | 80 | 25 | 46 | 46 | 62 | 70 | 0 | 20 | 894,167$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 82 | 45 | 92 | 70 | 73 | 55 | 73 | 65 | 32 | 50 | 57 | 73 | 25 | 45 | 45 | 63 | 25 | 0 | 25 | 870,000$/1yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Dany Renaud |
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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 |
# | 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 |
---|---|---|
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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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 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Canucks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist ![]() | D | 23 | 2,600,000$ | 2,600,000$ | 2,600,000$ | ||||||
Brandon Tanev ![]() | LW/RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||||
Cal Clutterbuck ![]() | RW | 35 | 1,750,000$ | 1,750,000$ | |||||||
Connor Bedard ![]() | C | 18 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Craig Smith ![]() | RW | 34 | 1,000,000$ | 1,000,000$ | |||||||
Eetu Luostarinen ![]() | C/LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Evander Kane ![]() | RW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | |||||
Jansen Harkins ![]() | LW | 26 | 850,000$ | 850,000$ | |||||||
Johnny Gaudreau ![]() | LW | 30 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | ||
Jordan Harris ![]() | D | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Joshua Brown ![]() | D | 29 | 1,275,000$ | 1,275,000$ | |||||||
Karel Vejmelka ![]() | G | 27 | 2,725,000$ | 2,725,000$ | 2,725,000$ | ||||||
Logan Cooley ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Mackenzie Blackwood ![]() | G | 27 | 2,350,000$ | 2,350,000$ | 2,350,000$ | ||||||
Nicholas Robertson ![]() | LW/RW | 22 | 796,667$ | 796,667$ | |||||||
Nick Foligno ![]() | C/RW | 35 | 4,000,000$ | 4,000,000$ | |||||||
Nicolas Hague ![]() | D | 24 | 2,294,150$ | 2,294,150$ | 2,294,150$ | ||||||
Parker Wotherspoon ![]() | D | 26 | 775,000$ | 775,000$ | |||||||
Reilly Smith ![]() | RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Ryan McDonagh ![]() | D | 34 | 6,750,000$ | 6,750,000$ | 6,750,000$ | ||||||
Simon Benoit ![]() | D | 25 | 775,000$ | 775,000$ | |||||||
Travis Boyd ![]() | C/RW | 30 | 1,750,000$ | 1,750,000$ | |||||||
Troy Stecher ![]() | D | 29 | 1,100,000$ | 1,100,000$ | |||||||
Vladislav Namestnikov ![]() | C/LW/RW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Wyatt Johnston ![]() | C | 20 | 894,167$ | 894,167$ | 894,167$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
61,859,984$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rogers Arena | |
City | Vancouver | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
61,859,984$ | 61,859,984$ | 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$ | 14 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | -571,805,651$ | -571,805,651$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo van 2024 | |||||
Albin Sundin | 2024 | 203 | |||
Alex Cotton | 2020 | 134 | |||
Anthony Angello | Link | ||||
Blake Biondi | 2020 | 83 | |||
Brandon Svoboda | 2023 | 75 | |||
Brent Johnson | 2021 | 94 | |||
Carey Terrance | 2023 | 66 | |||
Carter Yakemchuk | 2024 | 11 | |||
Chase Cheslock | 2023 | 163 | |||
Chase Pietila | 2024 | 132 | |||
Christopher Pelosi | 2023 | 94 | |||
Curtis Douglas | |||||
Dmitri Zlodeyev | 2020 | 176 | |||
Dylan Mackinnon | 2023 | 67 | |||
Eetu Tuulola | |||||
Garret Sparks | Link | ||||
Ilya Nikolaev | 2019 | 95 | |||
Ivan Morosov | |||||
Jack LaFontaine | Link | ||||
Jack Pridham | 2024 | 102 | |||
James Greenway | |||||
Jared Moe | |||||
Joey Willis | 2023 | 125 | |||
Jonathan Castagna | 2023 | 88 | |||
Kyle Aucoin | 2020 | 158 | |||
Kyle Capobianco | Link | ||||
Kyle Clifford | Link | ||||
Ludvig Jansson | 2022 | 137 | |||
Luke Reid | 2020 | 165 | |||
Martin Misiak | 2023 | 74 | |||
Mason Primeau | 2019 | 151 | |||
Matvey Guskov | 2019 | 157 | |||
Michael Hrabal | 2023 | 24 | |||
Nate Misskey | 2024 | 159 | |||
Noah Beck | 2020 | 196 | |||
Otto Koivula | 2016 | 120 | Link | ||
Petteri Nurmi | 2022 | 201 | |||
Quentin Miller | 2023 | 61 | |||
Ryan Mast | 2021 | 190 | |||
Ryan Merkley | 2018 | 19 | Link | ||
Sam Rinzel | 2022 | 32 | |||
Samuel Savoie | 2022 | 73 | |||
Sergey Murashov | 2022 | 131 | |||
Seth Helgeson | |||||
Ty Smith | Link | ||||
Vadim Moroz | 2023 | 108 | |||
Vittorio Mancini | 2022 | 169 | |||
Wyatt Kalynuk | Link | ||||
Zayde Wisdom | 2020 | 106 |