object(SQLite3Result)#20 (0) {
}
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Full Scoreboard »» |
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Full Scoreboard »» |
New York Islanders 0-0-0, 0pts |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Valeri Nichushkin | LW/RW | 100.00 | 64 | 45 | 90 | 80 | 84 | 81 | 74 | 88 | 47 | 78 | 73 | 78 | 71 | 70 | 64 | 0 | 75 | 29 | 5,000,000$/1yrs | |||||
Anders Lee | LW/RW | 100.00 | 70 | 47 | 73 | 79 | 88 | 72 | 86 | 90 | 50 | 62 | 79 | 62 | 68 | 77 | 93 | 0 | 72 | 34 | 4,200,000$/2yrs | |||||
Artturi Lehkonen | LW/RW | 100.00 | 65 | 45 | 75 | 82 | 67 | 78 | 80 | 92 | 48 | 71 | 71 | 72 | 65 | 71 | 65 | 0 | 72 | 29 | 7,500,000$/3yrs | |||||
Brock Nelson | C/LW/RW | 100.00 | 60 | 45 | 81 | 78 | 82 | 75 | 90 | 80 | 71 | 72 | 82 | 66 | 72 | 81 | 73 | 0 | 72 | 32 | 4,500,000$/2yrs | |||||
David Perron | LW/RW | 100.00 | 71 | 45 | 72 | 75 | 75 | 72 | 87 | 87 | 48 | 71 | 73 | 72 | 76 | 91 | 80 | 0 | 72 | 36 | 3,250,000$/2yrs | |||||
Chandler Stephenson | C/LW | 100.00 | 62 | 45 | 83 | 86 | 76 | 78 | 91 | 73 | 88 | 81 | 64 | 73 | 74 | 67 | 63 | 0 | 71 | 30 | 5,000,000$/1yrs | |||||
Nick Schmaltz | LW/RW | 100.00 | 53 | 45 | 83 | 84 | 65 | 79 | 76 | 72 | 54 | 80 | 73 | 74 | 76 | 68 | 63 | 0 | 71 | 28 | 7,000,000$/3yrs | |||||
Barrett Hayton | C | 100.00 | 65 | 45 | 76 | 79 | 72 | 72 | 85 | 75 | 79 | 63 | 68 | 70 | 70 | 52 | 54 | 0 | 67 | 24 | 1,100,000$/1yrs | |||||
Brandon Saad | LW/RW | 100.00 | 53 | 45 | 86 | 75 | 78 | 71 | 79 | 71 | 49 | 63 | 70 | 74 | 64 | 82 | 74 | 0 | 67 | 31 | 5,150,000$/2yrs | |||||
Adam Fantilli (R) | C/LW/RW | 100.00 | 60 | 35 | 60 | 75 | 80 | 60 | 60 | 80 | 77 | 72 | 72 | 50 | 85 | 45 | 45 | 0 | 66 | 19 | 750,000$/1yrs | |||||
Kyle Okposo | LW/RW | 100.00 | 64 | 45 | 74 | 76 | 81 | 67 | 76 | 62 | 61 | 62 | 58 | 64 | 61 | 89 | 96 | 0 | 65 | 36 | 1,750,000$/2yrs | |||||
Nick Bonino | C/LW/RW | 100.00 | 55 | 45 | 77 | 75 | 73 | 70 | 77 | 59 | 72 | 52 | 60 | 80 | 59 | 83 | 75 | 0 | 64 | 36 | 1,750,000$/2yrs | |||||
Brady Skjei | D | 100.00 | 62 | 45 | 75 | 84 | 83 | 84 | 94 | 70 | 46 | 59 | 62 | 76 | 62 | 72 | 67 | 0 | 69 | 30 | 6,000,000$/1yrs | |||||
Bowen Byram | D | 100.00 | 66 | 47 | 69 | 83 | 74 | 82 | 66 | 70 | 46 | 62 | 63 | 69 | 62 | 49 | 50 | 0 | 67 | 23 | 1,100,000$/1yrs | |||||
Martin Fehervary | D | 100.00 | 83 | 47 | 80 | 73 | 77 | 80 | 81 | 50 | 46 | 48 | 53 | 66 | 53 | 50 | 52 | 0 | 62 | 24 | 1,100,000$/1yrs | |||||
Patrik Nemeth | D | 100.00 | 71 | 45 | 75 | 65 | 86 | 73 | 79 | 48 | 46 | 47 | 47 | 68 | 47 | 71 | 66 | 0 | 61 | 32 | 1,100,000$/1yrs | |||||
Dysin Mayo | D | 100.00 | 67 | 46 | 71 | 73 | 71 | 61 | 57 | 47 | 46 | 46 | 47 | 64 | 47 | 48 | 49 | 0 | 57 | 27 | 1,100,000$/1yrs | |||||
Kyle Capobianco | D | 100.00 | 60 | 45 | 57 | 67 | 73 | 56 | 51 | 48 | 46 | 46 | 50 | 59 | 50 | 48 | 49 | 0 | 55 | 26 | 750,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
Tyler Johnson | C/LW/RW | 100.00 | 63 | 45 | 74 | 78 | 63 | 67 | 65 | 63 | 51 | 64 | 60 | 61 | 73 | 77 | 71 | 0 | 63 | 33 | 850,000$/2yrs | |||||
Barclay Goodrow | C/RW | 100.00 | 73 | 68 | 68 | 71 | 84 | 65 | 85 | 48 | 66 | 61 | 56 | 66 | 56 | 71 | 78 | 0 | 62 | 31 | 3,000,000$/2yrs | |||||
Lars Eller | C/LW/RW | 100.00 | 67 | 45 | 69 | 73 | 80 | 67 | 83 | 50 | 81 | 56 | 55 | 70 | 66 | 88 | 78 | 0 | 62 | 35 | 3,250,000$/2yrs | |||||
TEAM AVERAGE | 100.00 | 64 | 46 | 75 | 77 | 77 | 72 | 77 | 68 | 58 | 63 | 64 | 68 | 65 | 69 | 67 | 0 | 66 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Karel Vejmelka | 0 | 97.00 | 79 | 76 | 73 | 89 | 74 | 85 | 84 | 79 | 77 | 73 | 79 | 63 | 62 | 0 | 77 | 28 | 2,500,000$/3yrs | |
Joseph Woll | 0 | 97.00 | 59 | 58 | 60 | 78 | 59 | 57 | 59 | 59 | 56 | 58 | 56 | 57 | 57 | 0 | 60 | 25 | 1,250,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.00 | 69 | 67 | 67 | 84 | 67 | 71 | 72 | 69 | 67 | 66 | 68 | 60 | 60 | 0 | 69 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager |
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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 | PPG | PPA | PPP | 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 | $79,500,000 |
Retains And Buyout Cap Hit | $0 |
Salary Cap To Date | $0 |
Players In Salary Cap | Array0 |
Contracts | 45/50 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 13-14 | 14-15 | 15-16 | 16-17 |
---|---|---|---|---|---|---|---|
Adam Fantilli | C/LW/RW | 19 | $750,000 | $750,000 | |||
Anders Lee | LW/RW | 34 | $4,200,000 | $4,200,000 | $4,200,000 | ||
Artturi Lehkonen | LW/RW | 29 | $7,500,000 | $7,500,000 | $7,500,000 | $7,500,000 | |
Barclay Goodrow | C/RW | 31 | $3,000,000 | $3,000,000 | $3,000,000 | ||
Barrett Hayton | C | 24 | $1,100,000 | $1,100,000 | |||
Bowen Byram | D | 23 | $1,100,000 | $1,100,000 | |||
Brady Skjei | D | 30 | $6,000,000 | $6,000,000 | |||
Brandon Saad | LW/RW | 31 | $5,150,000 | $5,150,000 | $5,150,000 | ||
Brock Nelson | C/LW/RW | 32 | $4,500,000 | $4,500,000 | $4,500,000 | ||
Chandler Stephenson | C/LW | 30 | $5,000,000 | $5,000,000 | |||
David Perron | LW/RW | 36 | $3,250,000 | $3,250,000 | $3,250,000 | ||
Dysin Mayo | D | 27 | $1,100,000 | $1,100,000 | |||
Joseph Woll | G | 25 | $1,250,000 | $1,250,000 | |||
Karel Vejmelka | G | 28 | $2,500,000 | $2,500,000 | $2,500,000 | $2,500,000 | |
Kyle Capobianco | D | 26 | $750,000 | $750,000 | $750,000 | ||
Kyle Okposo | LW/RW | 36 | $1,750,000 | $1,750,000 | $1,750,000 | ||
Lars Eller | C/LW/RW | 35 | $3,250,000 | $3,250,000 | $3,250,000 | ||
Martin Fehervary | D | 24 | $1,100,000 | $1,100,000 | |||
Nick Bonino | C/LW/RW | 36 | $1,750,000 | $1,750,000 | $1,750,000 | ||
Nick Schmaltz | LW/RW | 28 | $7,000,000 | $7,000,000 | $7,000,000 | $7,000,000 | |
Patrik Nemeth | D | 32 | $1,100,000 | $1,100,000 | |||
Tyler Johnson | C/LW/RW | 33 | $850,000 | $850,000 | $850,000 | ||
Valeri Nichushkin | LW/RW | 29 | $5,000,000 | $5,000,000 |
Non-Roster | Pos | Age | Cap Hit | 13-14 | 14-15 | 15-16 | 16-17 |
---|---|---|---|---|---|---|---|
Andrew Strathmann | D | 19 | $750,000 | $750,000 | |||
Bode Wilde | D | 24 | $1,100,000 | $1,100,000 | |||
Callan Foote | D | 25 | $1,100,000 | $1,100,000 | |||
David Gustafsson | C | 24 | $750,000 | $750,000 | $750,000 | ||
Dmitri Voronkov | C/LW | 23 | $750,000 | $750,000 | |||
Filip Kral | D | 24 | $1,100,000 | $1,100,000 | |||
Filip Mesar | C | 20 | $750,000 | $750,000 | $750,000 | ||
Gavin McCarthy | D | 19 | $750,000 | $750,000 | |||
Jagger Firkus | C | 20 | $750,000 | $750,000 | $750,000 | ||
Jesse Pulkkinen | D | 19 | $750,000 | $750,000 | |||
Jiri Kulich | C | 20 | $750,000 | $750,000 | $750,000 | ||
Julian Lutz | C | 20 | $750,000 | $750,000 | $750,000 | ||
Mark Kastelic | C | 25 | $750,000 | $750,000 | |||
Matthew Rempe | C | 22 | $750,000 | $750,000 | |||
Michael DeAngelo | LW | 19 | $750,000 | $750,000 | |||
Ryan Suzuki | C | 23 | $750,000 | $750,000 | $750,000 | ||
Samuel Fagemo | RW | 24 | $750,000 | $750,000 | $750,000 | ||
Scott Perunovich | D | 25 | $1,100,000 | $1,100,000 | |||
Sebastian Cossa | G | 21 | $1,250,000 | $1,250,000 | $1,250,000 | ||
Tanner Ludtke | C | 19 | $750,000 | $750,000 | |||
Tucker Robertson | C | 21 | $750,000 | $750,000 | $750,000 | ||
Victor Berglund | D | 24 | $1,100,000 | $1,100,000 |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Valeri Nichushkin | Brock Nelson | David Perron | |||||
Artturi Lehkonen | Adam Fantilli | Anders Lee | |||||
Nick Schmaltz | Chandler Stephenson | Brandon Saad | |||||
Kyle Okposo | Barrett Hayton | Nick Bonino |
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
Brady Skjei | Bowen Byram | ||||||
Martin Fehervary | Patrik Nemeth | ||||||
Dysin Mayo | Kyle Capobianco |
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Valeri Nichushkin | Brock Nelson | David Perron | |||||
Brady Skjei | Bowen Byram |
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Artturi Lehkonen | Adam Fantilli | Anders Lee | |||||
Martin Fehervary | Kyle Capobianco |
Goalies | |||||||
---|---|---|---|---|---|---|---|
Joseph Woll | Karel Vejmelka |
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 |
$68,950,000 | $0 | $0 | $79,500,000 |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | UBS Arena | ||
City | New York | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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 | |||||
---|---|---|---|---|---|
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 |
$68,950,000 | $68,950,000 | $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 | $70,000,000 | $70,000,000 |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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4 | ||||
5 | ||||
6 | ||||
7 | ||||
8 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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4 | ||||
5 | ||||
6 | ||||
7 | ||||
8 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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