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Full Scoreboard »» |
San Jose Sharks 0-0-0, 0pts · 9th 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 | LW/RW | 100.00 | 76 | 44 | 76 | 79 | 72 | 79 | 90 | 82 | 37 | 74 | 80 | 74 | 53 | 82 | 89 | 78 | 50 | 0 | 34 | 6,250,000$/4yrs | |||
![]() | 0 | C | 100.00 | 67 | 42 | 97 | 79 | 68 | 57 | 61 | 67 | 61 | 61 | 70 | 70 | 25 | 47 | 47 | 69 | 50 | 0 | 31 | 775,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 90 | 60 | 82 | 80 | 76 | 62 | 77 | 64 | 65 | 70 | 59 | 76 | 25 | 72 | 74 | 69 | 50 | 0 | 28 | 1,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 42 | 88 | 76 | 72 | 56 | 63 | 69 | 59 | 64 | 71 | 61 | 61 | 85 | 85 | 68 | 50 | 0 | 34 | 775,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 61 | 86 | 70 | 61 | 76 | 79 | 66 | 80 | 64 | 61 | 66 | 58 | 61 | 61 | 66 | 50 | 0 | 28 | 762,500$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 43 | 84 | 81 | 81 | 70 | 76 | 67 | 34 | 61 | 77 | 84 | 38 | 70 | 73 | 75 | 50 | 0 | 30 | 3,400,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 42 | 88 | 83 | 63 | 70 | 79 | 84 | 62 | 66 | 76 | 66 | 59 | 76 | 82 | 74 | 50 | 0 | 33 | 5,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 43 | 94 | 80 | 82 | 67 | 97 | 75 | 93 | 65 | 70 | 70 | 70 | 76 | 76 | 71 | 50 | 0 | 31 | 7,142,857$/3yrs | |||
![]() | 0 | C | 100.00 | 81 | 55 | 92 | 80 | 74 | 81 | 97 | 48 | 84 | 78 | 76 | 80 | 75 | 82 | 82 | 55 | 50 | 0 | 34 | 8,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 55 | 76 | 80 | 70 | 70 | 97 | 74 | 83 | 76 | 70 | 75 | 25 | 72 | 72 | 75 | 50 | 0 | 29 | 3,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 42 | 91 | 80 | 64 | 70 | 90 | 75 | 68 | 67 | 72 | 75 | 75 | 65 | 65 | 73 | 50 | 0 | 27 | 1,600,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 52 | 88 | 83 | 70 | 74 | 97 | 85 | 58 | 80 | 86 | 74 | 48 | 73 | 74 | 82 | 50 | 0 | 27 | 5,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 43 | 93 | 80 | 71 | 74 | 98 | 88 | 39 | 73 | 89 | 60 | 39 | 78 | 83 | 81 | 50 | 0 | 31 | 4,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 89 | 81 | 73 | 78 | 87 | 63 | 25 | 57 | 48 | 92 | 25 | 80 | 83 | 66 | 50 | 0 | 33 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 97 | 71 | 73 | 69 | 72 | 77 | 78 | 66 | 25 | 47 | 48 | 84 | 25 | 61 | 61 | 63 | 50 | 0 | 28 | 1,100,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 43 | 86 | 79 | 75 | 69 | 85 | 65 | 25 | 49 | 51 | 87 | 46 | 92 | 92 | 64 | 50 | 0 | 36 | 7,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 77 | 77 | 74 | 78 | 84 | 78 | 91 | 63 | 25 | 60 | 49 | 92 | 75 | 80 | 82 | 67 | 50 | 0 | 31 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 56 | 87 | 78 | 84 | 70 | 74 | 63 | 25 | 48 | 47 | 82 | 25 | 71 | 75 | 62 | 50 | 0 | 30 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 46 | 84 | 75 | 76 | 72 | 77 | 63 | 25 | 54 | 48 | 85 | 25 | 64 | 68 | 65 | 50 | 0 | 26 | 2,750,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 83 | 45 | 91 | 80 | 77 | 53 | 72 | 66 | 31 | 55 | 66 | 65 | 25 | 63 | 65 | 66 | 50 | 0 | 25 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 43 | 91 | 79 | 81 | 70 | 92 | 72 | 42 | 69 | 66 | 59 | 25 | 66 | 68 | 69 | 50 | 0 | 27 | 3,000,000$/7yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 77 | 79 | 76 | 65 | 79 | 62 | 25 | 47 | 48 | 80 | 25 | 79 | 79 | 62 | 50 | 0 | 33 | 1,100,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 75 | 50 | 86 | 79 | 74 | 70 | 83 | 69 | 49 | 63 | 65 | 75 | 43 | 73 | 74 | 69 | 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 | 61 | 55 | 57 | 71 | 65 | 56 | 69 | 60 | 65 | 61 | 60 | 65 | 67 | 62 | 50 | 0 | 34 | 1,500,000$/1yrs |
![]() | 0 | 100.00 | 76 | 55 | 58 | 79 | 81 | 71 | 73 | 77 | 81 | 76 | 92 | 75 | 78 | 74 | 50 | 0 | 35 | 2,750,000$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 61 | 59 | 81 | 65 | 54 | 69 | 62 | 65 | 60 | 91 | 50 | 50 | 62 | 50 | 0 | 28 | 762,500$/1yrs |
TEAM AVERAGE | 100.00 | 66 | 57 | 58 | 77 | 70 | 60 | 70 | 66 | 70 | 66 | 81 | 63 | 65 | 66 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 84 | 64 | 89 | 63 | 68 | 56 | 87 | 62 | 71 | 63 | 64 | 63 | 25 | 46 | 46 | 67 | 70 | 0 | 24 | 800,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 77 | 74 | 83 | 67 | 74 | 63 | 63 | 65 | 50 | 55 | 71 | 66 | 67 | 44 | 44 | 68 | 70 | 0 | 24 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 44 | 95 | 65 | 76 | 62 | 75 | 64 | 44 | 67 | 59 | 71 | 75 | 61 | 62 | 65 | 70 | 0 | 28 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 94 | 70 | 71 | 61 | 73 | 61 | 25 | 52 | 47 | 67 | 25 | 45 | 45 | 59 | 70 | 0 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 70 | 89 | 76 | 70 | 50 | 51 | 50 | 25 | 47 | 39 | 62 | 37 | 44 | 44 | 53 | 70 | 0 | 19 | 896,667$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 70 | 66 | 76 | 70 | 62 | 64 | 55 | 25 | 52 | 41 | 62 | 39 | 56 | 56 | 55 | 70 | 0 | 25 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 72 | 66 | 85 | 73 | 66 | 66 | 67 | 66 | 80 | 65 | 60 | 66 | 57 | 55 | 55 | 65 | 24 | 0 | 29 | 762,500$/1yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 46 | 48 | 60 | 68 | 45 | 91 | 45 | 50 | 90 | 81 | 45 | 44 | 44 | 62 | 70 | 0 | 23 | 805,000$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Yes Martel |
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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 |
Sharks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Killorn ![]() | LW/RW | 34 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||
Antti Raanta ![]() | G | 34 | 1,500,000$ | 1,500,000$ | |||||||
Christopher Tanev ![]() | D | 33 | 4,500,000$ | 4,500,000$ | |||||||
Curtis Lazar ![]() | C/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Erik Gudbranson ![]() | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Jared McCann ![]() | C/LW | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||
Jesse Puljujarvi ![]() | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Joel Armia ![]() | LW/RW | 30 | 3,400,000$ | 3,400,000$ | 3,400,000$ | ||||||
Joel Edmundson ![]() | D | 30 | 3,500,000$ | 3,500,000$ | |||||||
Kevin Hayes ![]() | C | 31 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | |||||
Kyle Burroughs ![]() | D | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Logan Couture ![]() | C | 34 | 8,000,000$ | 8,000,000$ | |||||||
Marc-edouard Vlasic ![]() | D | 36 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |||||
Michael Sgarbossa ![]() | C | 31 | 775,000$ | 775,000$ | 775,000$ | ||||||
Nicolas Petan ![]() | C/LW/RW | 28 | 762,500$ | 762,500$ | |||||||
Pierre Engvall ![]() | LW/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |
Pius Suter ![]() | C/LW | 27 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Sam Gagner ![]() | C/RW | 34 | 775,000$ | 775,000$ | |||||||
Scott Laughton ![]() | C/LW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Semyon Varlamov ![]() | G | 35 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||
Spencer Martin ![]() | G | 28 | 762,500$ | 762,500$ | |||||||
Travis Hamonic ![]() | D | 33 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Tyler Johnson ![]() | C/LW/RW | 33 | 5,000,000$ | 5,000,000$ | |||||||
Tyler Toffoli ![]() | LW/RW | 31 | 4,250,000$ | 4,250,000$ | |||||||
Zach Whitecloud ![]() | D | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ |
Forward Lines | |||||||
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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 |
79,717,857$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center | |
City | San Jose | ||
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 |
79,717,857$ | 79,717,857$ | 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$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | -614,889,474$ | -614,889,474$ |
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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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 min 2024 | |||||
1 ballo sj 2024 | |||||
1 ballo tor 2024 | |||||
Axel Bergkvist | 2019 | 206 | |||
Axel Rindell | 2020 | 179 | |||
Ben Brinkman | 2019 | 184 | |||
David Hrenak | 2018 | 145 | |||
Joel Teasdale | Link | ||||
Joshua Dunne | Link | ||||
Linus Lindstrom | 2016 | 94 | |||
Luke Green | 2016 | 64 | |||
Marshall Warren | 2019 | 175 | |||
Nicolas Meloche | Link | ||||
Olivier Nadeau | 2021 | 84 | |||
Owen Lindmark | 2019 | 153 | |||
Owen McLaughlin | 2021 | 211 | |||
Philip Nyberg | 2016 | 132 | |||
Quinn Schmiemann | 2019 | 189 | |||
Rhett Pitlick | 2019 | 144 | |||
Sheldon Dries | Link | ||||
Wyatt Schingoethe | 2020 | 197 | |||
Zachary Bouthillier | 2018 | 207 |