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Full Scoreboard ยป |
Buffalo Sabres 1-0-0, 2pts · 3rd in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 74 | 29 | 72 | 86 | 81 | 97 | 93 | 99 | 86 | 93 | 96 | 52 | 53 | 77 | 78 | 81 | 52 | 81 | 27 | 8,433,333$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 87 | 15 | 76 | 89 | 80 | 82 | 89 | 99 | 95 | 94 | 89 | 62 | 84 | 75 | 78 | 80 | 52 | 81 | 27 | 5,250,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 41 | 9 | 92 | 92 | 77 | 94 | 83 | 95 | 41 | 86 | 91 | 43 | 53 | 68 | 68 | 74 | 52 | 76 | 23 | 5,875,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 48 | 11 | 96 | 85 | 67 | 93 | 95 | 89 | 35 | 85 | 85 | 39 | 25 | 63 | 63 | 81 | 52 | 72 | 31 | 4,000,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 55 | 13 | 90 | 72 | 70 | 95 | 96 | 79 | 93 | 74 | 91 | 44 | 68 | 83 | 89 | 83 | 52 | 72 | 36 | 7,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 70 | 34 | 95 | 89 | 79 | 67 | 87 | 76 | 71 | 70 | 85 | 67 | 25 | 59 | 60 | 76 | 52 | 72 | 23 | 2,900,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 24 | 69 | 81 | 64 | 88 | 74 | 74 | 67 | 82 | 81 | 57 | 59 | 72 | 76 | 78 | 52 | 71 | 30 | 3,900,000$/1yrs | |||
![]() | 0 | C | 100.00 | 50 | 31 | 79 | 81 | 63 | 83 | 95 | 86 | 71 | 80 | 79 | 58 | 81 | 42 | 42 | 93 | 52 | 71 | 18 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 68 | 15 | 85 | 81 | 72 | 82 | 86 | 61 | 86 | 64 | 78 | 77 | 75 | 71 | 73 | 77 | 52 | 70 | 29 | 2,900,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 15 | 83 | 81 | 75 | 89 | 91 | 76 | 33 | 70 | 71 | 62 | 45 | 67 | 68 | 74 | 52 | 70 | 29 | 2,750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 50 | 12 | 84 | 67 | 69 | 91 | 99 | 78 | 48 | 74 | 75 | 44 | 59 | 91 | 98 | 75 | 52 | 69 | 38 | 1,100,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 69 | 74 | 81 | 80 | 80 | 91 | 74 | 36 | 77 | 76 | 38 | 25 | 67 | 68 | 71 | 52 | 68 | 28 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 30 | 72 | 95 | 79 | 99 | 76 | 74 | 25 | 71 | 56 | 81 | 25 | 64 | 65 | 66 | 52 | 75 | 22 | 4,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 40 | 77 | 77 | 74 | 90 | 95 | 62 | 25 | 56 | 48 | 99 | 25 | 67 | 68 | 67 | 52 | 75 | 30 | 6,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 55 | 12 | 99 | 92 | 81 | 91 | 97 | 68 | 25 | 69 | 50 | 86 | 63 | 68 | 68 | 62 | 52 | 75 | 23 | 4,950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 15 | 87 | 88 | 78 | 91 | 88 | 59 | 25 | 52 | 49 | 82 | 69 | 70 | 72 | 64 | 52 | 72 | 29 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 16 | 91 | 84 | 72 | 91 | 71 | 60 | 25 | 54 | 47 | 82 | 75 | 69 | 70 | 64 | 52 | 71 | 29 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 23 | 91 | 74 | 70 | 95 | 98 | 60 | 25 | 58 | 48 | 86 | 25 | 59 | 59 | 65 | 52 | 70 | 29 | 2,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 65 | 23 | 84 | 83 | 74 | 89 | 89 | 76 | 51 | 73 | 72 | 64 | 52 | 68 | 70 | 74 | 52 | 73 |
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 | 86 | 79 | 92 | 95 | 89 | 86 | 80 | 86 | 91 | 90 | 60 | 65 | 66 | 88 | 52 | 82 | 29 | 6,500,000$/3yrs |
![]() | 0 | 100.00 | 86 | 72 | 84 | 88 | 87 | 86 | 88 | 83 | 82 | 74 | 78 | 49 | 49 | 72 | 52 | 77 | 32 | 4,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 86 | 76 | 88 | 92 | 88 | 86 | 84 | 85 | 87 | 82 | 69 | 57 | 58 | 80 | 52 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rob Brind'Amour | 94 | 94 | 85 | 93 | 71 | 69 | 75 | CAN | 47 | 3 | 2,500,000$ |
General Manager | Tyler Shepler |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrew Shaw | 0 | C/RW | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 3 | 1 | 3 | 33.33% | 0 | 14.57 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 1 | 0 | 0 | 0 | 2.75 | 0 | 0 | |
2 | John Moore | 0 | D | 1 | 0 | 2 | 2 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 20.52 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 1.95 | 0 | 0 | |
3 | Evgenii Dadonov | 0 | LW/RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 0.00% | 0 | 17.97 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.11 | 0 | 0 | |
4 | Gabriel Landeskog | 0 | LW | 1 | 0 | 1 | 1 | -1 | 2 | 0 | 3 | 2 | 1 | 1 | 0.00% | 0 | 20.95 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | |
5 | Charlie McAvoy | 0 | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 2 | 2 | 1 | 0.00% | 0 | 21.37 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.94 | 0 | 0 | |
6 | Brock Boeser | 0 | RW | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 1 | 2 | 3 | 100.00% | 0 | 21.65 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
7 | Roope Hintz | 0 | LW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 4 | 3 | 5 | 25.00% | 0 | 11.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.80 | 0 | 0 | |
8 | Calvin de Haan | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 3 | 13.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
9 | Casey Cizikas | 0 | C | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 0.00% | 0 | 12.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83.33% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
10 | J.T. Miller | 0 | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 1 | 5 | 0.00% | 0 | 21.30 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 64.00% | 25 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
11 | Joe Pavelski | 0 | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 1 | 19.40 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Justin Williams | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 7.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Radko Gudas | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 2 | 1 | 0 | 0.00% | 1 | 24.83 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Richard Panik | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 2 | 2 | 0.00% | 1 | 7.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Marco Rossi | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 2 | 0.00% | 0 | 14.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.54% | 13 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Micheal Ferland | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 7.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Noah Hanifin | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 2 | 24.83 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Nick Jensen | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 2 | 14.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 18 | 3 | 6 | 9 | 0 | 4 | 0 | 22 | 28 | 17 | 26 | 10.71% | 10 | 16.44 | 2 | 4 | 6 | 34 | 0 | 0 | 0 | 15 | 1 | 1 | 57.97% | 69 | 5 | 6 | 0 | 0 | 0.61 | 0 | 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 Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Robin Lehner | Sabres | 1 | 1 | 0 | 0 | 0.976 | 1.00 | 60 | 0 | 0 | 1 | 41 | 20 | 0 | 0 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 |
Team Total or Average | 1 | 1 | 0 | 0 | 0.976 | 1.00 | 60 | 0 | 0 | 1 | 41 | 20 | 0 | 0 | 0.000 | 0 | 1 | 0 | 1 | 0 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 10 | 7 | 11 | 0 | 41 | 10 | 4 | 22 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 14 | 29 | 48.28% | 17 | 28 | 60.71% | 9 | 12 | 75.00% | 23 | 14 | 20 | 8 | 15 | 8 | 50.0% | 10.7% | 97.6% | 108.3 | LUCKY | |
_Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 10 | 7 | 11 | 0 | 41 | 10 | 4 | 22 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 14 | 29 | 48.28% | 17 | 28 | 60.71% | 9 | 12 | 75.00% | 23 | 14 | 20 | 8 | 15 | 8 | 50.0% | 10.7% | 97.6% | 108.3 | LUCKY | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 10 | 7 | 11 | 0 | 41 | 10 | 4 | 22 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 14 | 29 | 48.28% | 17 | 28 | 60.71% | 9 | 12 | 75.00% | 23 | 14 | 20 | 8 | 15 | 8 | 50.0% | 10.7% | 97.6% | 108.3 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 10 | 7 | 11 | 0 | 41 | 10 | 4 | 22 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 14 | 29 | 48.28% | 17 | 28 | 60.71% | 9 | 12 | 75.00% | 23 | 14 | 20 | 8 | 15 | 8 | 50.0% | 10.7% | 97.6% | 108.3 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 10 | 7 | 11 | 0 | 41 | 10 | 4 | 22 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 14 | 29 | 48.28% | 17 | 28 | 60.71% | 9 | 12 | 75.00% | 23 | 14 | 20 | 8 | 15 | 8 | 50.0% | 10.7% | 97.6% | 108.3 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 15 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 29 |
Neutral Zone Start | 12 |
Defensive Zone Start | 28 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 40 |
Faceoffs Lost | 29 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 17.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 1 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
---|---|
PP Goal | 2 |
PK Attempt | 2 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 41.0 |
Goals For | 3.0 |
Goals Against | 1.0 |
Hits | 22.0 |
Shots Blocked | 10.0 |
Pim | 4.0 |
Projected Total Cap Hit | 82,633,333$ |
Projected Cap Space | 3,866,667$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 569,885$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 | 2020-2021 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Shaw ![]() | C/RW | 30 | 3,900,000$ | 3,900,000$ | |||||||
Brock Boeser ![]() | RW | 23 | 5,875,000$ | 5,875,000$ | |||||||
Calvin de Haan ![]() | D | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Casey Cizikas ![]() | C | 29 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | ||||
Charlie McAvoy ![]() | D | 22 | 4,900,000$ | 4,900,000$ | |||||||
Evgenii Dadonov | LW/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Gabriel Landeskog | LW | 27 | 8,433,333$ | 8,433,333$ | 8,433,333$ | 8,433,333$ | 8,433,333$ | ||||
J.T. Miller | C/LW/RW | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Joe Pavelski | C/RW | 36 | 7,000,000$ | 7,000,000$ | |||||||
John Moore ![]() | D | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Justin Williams ![]() | RW | 38 | 1,100,000$ | 1,100,000$ | |||||||
Marco Rossi ![]() | C | 18 | 925,000$ | 925,000$ | 925,000$ | ||||||
Micheal Ferland ![]() | LW/RW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||||
Mikko Koskinen | LW/RW | 32 | 4,500,000$ | 4,500,000$ | |||||||
Nick Jensen ![]() | D | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Noah Hanifin ![]() | D | 23 | 4,950,000$ | 4,950,000$ | 4,950,000$ | ||||||
Radko Gudas | D | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Richard Panik ![]() | LW/RW | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Robin Lehner ![]() | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||||
Roope Hintz ![]() | LW | 23 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Antonio Stranges | 3 | 68 | |||
Ben Jones | 1 | ||||
Cade McNelly | 2 | 79 | |||
Daemon Hunt | 3 | 44 | |||
Daniel Ljungman | 3 | 92 | |||
Drew Commesso | 2 | 55 | |||
Ivan Chekhovich | 1 | ||||
Joachim Blichfeld | 1 | ||||
Ronan Seeley | 2 | 31 | |||
Sasha Chmelevski | 1 | ||||
William Villeneuve | 3 | 20 | |||
Zachary Emond | 1 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,633,333$ | 0$ | 82,633,333$ | 3,866,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | KeyBank Center | |
City | Buffalo | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
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 |
82,633,333$ | 82,633,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
587,126$ | 82,633,333$ | 569,885$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 144 | 587,126$ | 84,546,144$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
88,468,104$ | 82,633,333$ | 221,283,609$ | 132,815,505$ |
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 |
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