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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 70 | 40 | 82 | 80 | 81 | 84 | 90 | 84 | 85 | 89 | 79 | 66 | 72 | 92 | 98 | 0 | 83 | 36 | 8,700,000$/3yrs | |||||
![]() | LW | 100.00 | 77 | 40 | 82 | 73 | 96 | 84 | 90 | 82 | 54 | 80 | 87 | 57 | 64 | 97 | 73 | 0 | 82 | 38 | 9,500,000$/4yrs | |||||
![]() | C/RW | 100.00 | 65 | 40 | 84 | 83 | 78 | 80 | 87 | 77 | 79 | 82 | 80 | 65 | 77 | 85 | 69 | 0 | 80 | 32 | 8,000,000$/2yrs | |||||
![]() | C/LW | 100.00 | 71 | 40 | 83 | 83 | 83 | 78 | 89 | 79 | 79 | 81 | 83 | 70 | 71 | 63 | 59 | 0 | 80 | 27 | 3,150,000$/9yrs | |||||
![]() | RW | 100.00 | 62 | 40 | 88 | 81 | 70 | 84 | 90 | 78 | 53 | 84 | 73 | 62 | 61 | 92 | 73 | 0 | 78 | 35 | 10,500,000$/1yrs | |||||
![]() | C/LW | 100.00 | 70 | 40 | 78 | 83 | 66 | 76 | 91 | 76 | 63 | 78 | 81 | 67 | 54 | 61 | 58 | 0 | 77 | 28 | 4,166,667$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 74 | 69 | 80 | 74 | 70 | 77 | 92 | 70 | 78 | 79 | 68 | 75 | 54 | 68 | 65 | 0 | 75 | 31 | 5,166,666$/3yrs | |||||
![]() | LW/RW | 100.00 | 90 | 79 | 79 | 69 | 90 | 72 | 88 | 65 | 57 | 73 | 66 | 74 | 54 | 77 | 66 | 0 | 74 | 32 | 3,100,000$/2yrs | |||||
![]() | C/LW | 100.00 | 64 | 65 | 77 | 75 | 79 | 74 | 89 | 71 | 78 | 79 | 68 | 62 | 54 | 72 | 60 | 0 | 73 | 28 | 3,000,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 81 | 49 | 78 | 70 | 88 | 68 | 85 | 61 | 54 | 70 | 64 | 73 | 54 | 64 | 59 | 0 | 71 | 26 | 3,000,000$/3yrs | |||||
![]() | C/RW | 100.00 | 68 | 40 | 77 | 62 | 77 | 69 | 64 | 59 | 62 | 71 | 72 | 64 | 54 | 56 | 58 | 0 | 69 | 30 | 975,000$/2yrs | |||||
![]() | LW | 100.00 | 62 | 46 | 70 | 67 | 72 | 68 | 60 | 57 | 54 | 67 | 61 | 61 | 55 | 58 | 57 | 0 | 65 | 25 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 70 | 47 | 80 | 73 | 79 | 81 | 89 | 61 | 40 | 73 | 60 | 87 | 57 | 82 | 60 | 0 | 75 | 33 | 850,000$/1yrs | |||||
![]() | D | 100.00 | 64 | 58 | 80 | 80 | 85 | 79 | 76 | 61 | 40 | 71 | 64 | 90 | 54 | 58 | 58 | 0 | 75 | 27 | 3,400,000$/3yrs | |||||
![]() | D | 100.00 | 68 | 40 | 82 | 73 | 75 | 91 | 86 | 62 | 40 | 73 | 60 | 89 | 54 | 77 | 60 | 0 | 75 | 30 | 6,000,000$/6yrs | |||||
![]() | D | 100.00 | 65 | 40 | 86 | 79 | 74 | 75 | 73 | 62 | 40 | 74 | 60 | 81 | 54 | 57 | 58 | 0 | 73 | 27 | 825,000$/2yrs | |||||
![]() | D | 100.00 | 78 | 66 | 74 | 66 | 79 | 77 | 84 | 58 | 40 | 69 | 59 | 88 | 54 | 59 | 58 | 0 | 72 | 27 | 1,900,000$/1yrs | |||||
![]() | D | 100.00 | 70 | 66 | 79 | 66 | 82 | 66 | 80 | 56 | 40 | 68 | 59 | 86 | 54 | 71 | 59 | 0 | 71 | 34 | 950,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C/LW | 100.00 | 73 | 40 | 81 | 64 | 79 | 65 | 80 | 64 | 76 | 72 | 67 | 70 | 78 | 86 | 66 | 0 | 71 | 36 | 750,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 75 | 67 | 77 | 62 | 78 | 66 | 74 | 65 | 68 | 71 | 66 | 69 | 55 | 65 | 59 | 0 | 70 | 30 | 762,500$/2yrs | |||||
![]() | D | 100.00 | 64 | 58 | 88 | 68 | 73 | 75 | 76 | 59 | 40 | 72 | 59 | 79 | 54 | 65 | 59 | 0 | 70 | 31 | 750,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 71 | 51 | 80 | 73 | 79 | 76 | 83 | 67 | 58 | 75 | 68 | 73 | 59 | 72 | 63 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 86 | 83 | 83 | 84 | 85 | 72 | 85 | 77 | 88 | 77 | 78 | 60 | 57 | 0 | 82 | 26 | 1,800,000$/2yrs | |
![]() | 33 | 99.00 | 80 | 81 | 80 | 87 | 80 | 79 | 83 | 68 | 83 | 81 | 90 | 75 | 64 | 0 | 80 | 36 | 3,666,667$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 83 | 82 | 82 | 86 | 83 | 76 | 84 | 73 | 86 | 79 | 84 | 68 | 61 | 0 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 83 | 85 | 89 | 81 | 86 | 93 | 1 | CAN | 56 | 1 | 1,000,000$ |
General Manager | Denis Beauchesne |
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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% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Duchene | ![]() | 95 | C/RW | 30 | 15 | 14 | 29 | 13 | 10 | 0 | 12 | 85 | 18 | 59 | 17.65% | 3 | 19.20 | 5 | 2 | 7 | 0 | 0 | 0 | 0 | 2 | 2 | 55.76% | 0 | 1 | 0.97 | 2 | 4 | 1.03 | ||
2 | Sidney Crosby | ![]() | 87 | C | 30 | 11 | 16 | 27 | 7 | 12 | 0 | 46 | 119 | 29 | 72 | 9.24% | 3 | 19.83 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 3 | 2 | 56.04% | 0 | 0 | 0.90 | 1 | 4 | 1.03 | ||
3 | Carter Verhaeghe | ![]() | 23 | C/LW | 30 | 9 | 16 | 25 | 11 | 2 | 0 | 40 | 79 | 21 | 65 | 11.39% | 4 | 18.64 | 1 | 4 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 51.28% | 0 | 0 | 0.83 | 0 | 0 | 0.97 | ||
4 | Jake Walman | ![]() | 96 | D | 30 | 6 | 17 | 23 | 17 | 14 | 0 | 39 | 24 | 7 | 15 | 25.00% | 39 | 20.10 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 3 | 0 | 0.00% | 0 | 0 | 0.77 | 0 | 0 | 0.78 | ||
5 | Dmitry Kulikov | ![]() | 7 | D | 30 | 5 | 14 | 19 | 4 | 12 | 0 | 36 | 36 | 17 | 32 | 13.89% | 36 | 22.03 | 2 | 5 | 7 | 0 | 0 | 0 | 10 | 0 | 1 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.60 | ||
6 | Sebastian AhoD | ![]() | 44 | D | 30 | 0 | 17 | 17 | 18 | 16 | 0 | 36 | 25 | 4 | 8 | 0.00% | 39 | 19.96 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.63 | ||
7 | Patrick Kane | ![]() | 88 | RW | 30 | 4 | 13 | 17 | 10 | 6 | 0 | 16 | 72 | 16 | 63 | 5.56% | 1 | 18.86 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 0 | 0 | 0.57 | 1 | 1 | 0.69 | ||
8 | Alex Ovechkin | ![]() | 8 | LW | 30 | 10 | 6 | 16 | 11 | 20 | 0 | 63 | 67 | 19 | 43 | 14.93% | 1 | 19.93 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 3 | 1 | 54.05% | 0 | 0 | 0.53 | 0 | 1 | 0.65 | ||
9 | Jonas Brodin | ![]() | 25 | D | 30 | 2 | 13 | 15 | 5 | 12 | 0 | 38 | 43 | 10 | 29 | 4.65% | 38 | 22.18 | 0 | 2 | 2 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.53 | ||
10 | Yanni Gourde | ![]() | 37 | C/LW/RW | 29 | 6 | 4 | 10 | 1 | 19 | 5 | 55 | 47 | 14 | 38 | 12.77% | 10 | 20.06 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 2 | 0 | 46.60% | 0 | 0 | 0.34 | 0 | 1 | 0.31 | ||
11 | Roope Hintz | ![]() | 24 | C/LW | 29 | 4 | 5 | 9 | -6 | 4 | 0 | 45 | 93 | 23 | 55 | 4.30% | 1 | 20.09 | 1 | 1 | 2 | 0 | 0 | 0 | 62 | 0 | 0 | 47.50% | 0 | 0 | 0.31 | 0 | 1 | 0.42 | ||
12 | Robert Bortuzzo | ![]() | 41 | D | 30 | 3 | 5 | 8 | 2 | 31 | 5 | 23 | 13 | 5 | 13 | 23.08% | 31 | 15.30 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.13 | ||
13 | Marcus Foligno | ![]() | 82 | LW/RW | 30 | 5 | 3 | 8 | 0 | 12 | 0 | 30 | 21 | 5 | 16 | 23.81% | 1 | 8.80 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0 | 1 | 50.00% | 0 | 0 | 0.27 | 0 | 0 | 0.20 | ||
14 | Justin Danforth | ![]() | 17 | C/RW | 30 | 4 | 2 | 6 | -1 | 0 | 0 | 5 | 14 | 3 | 13 | 28.57% | 3 | 7.21 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 1 | 0 | 36.84% | 0 | 0 | 0.20 | 0 | 0 | 0.17 | ||
15 | Niko Mikkola | ![]() | 76 | D | 27 | 3 | 3 | 6 | 5 | 27 | 5 | 53 | 10 | 6 | 11 | 30.00% | 34 | 15.49 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 1 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.18 | ||
16 | Max Domi | ![]() | 11 | C/LW | 30 | 3 | 2 | 5 | 0 | 17 | 5 | 20 | 38 | 10 | 39 | 7.89% | 0 | 14.59 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 52.00% | 0 | 0 | 0.17 | 0 | 0 | 0.16 | ||
17 | Jordan Greenway | ![]() | 12 | LW/RW | 29 | 1 | 3 | 4 | -4 | 12 | 0 | 38 | 23 | 11 | 19 | 4.35% | 2 | 10.00 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 47.62% | 0 | 0 | 0.14 | 0 | 0 | 0.08 | ||
18 | Derick Brassard | ![]() | 61 | C/LW | 18 | 1 | 2 | 3 | -1 | 0 | 0 | 6 | 16 | 2 | 4 | 6.25% | 2 | 7.11 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 47.89% | 0 | 0 | 0.17 | 0 | 0 | 0.16 | ||
19 | Jordan Oesterle | ![]() | 55 | D | 3 | 0 | 0 | 0 | -4 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 15.52 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.49 | ||
20 | Stefan Noesen | ![]() | 32 | LW/RW | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 2 | 3 | 0 | 0.00% | 2 | 6.80 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | ||
21 | Alex Nylander | ![]() | 11 | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 8.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | ||
Team Total or Average | 537 | 92 | 155 | 247 | 89 | 228 | 20 | 603 | 828 | 223 | 594 | 11.11% | 250 | 16.63 | 13 | 19 | 32 | 897 | 0 | 0 | 0 | 685 | 17 | 7 | 51.52% | 2595 | 0 | 0 | 0 | 1 | 0.55 | 4 | 12 |
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 | Ilya Samsonov | ![]() | 22 | 10 | 7 | 5 | 0.904 | 2.65 | 1338 | 4 | 1 | 59 | 616 | 0 | 0 | 0 | 0.611 | 18 | 22 | 8 | 1 | 1 | 1 |
2 | Cam Talbot | ![]() | 9 | 7 | 0 | 1 | 0.934 | 1.81 | 497 | 0 | 0 | 15 | 226 | 0 | 0 | 0 | 0.000 | 0 | 8 | 22 | 0 | 1 | 1 |
Team Total or Average | 31 | 17 | 7 | 6 | 0.912 | 2.42 | 1835 | 4 | 1 | 74 | 842 | 0 | 0 | 0 | 0.611 | 18 | 30 | 30 | 1 | 2 | 2 |
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 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 2 | 2 | 3 | 1 | 62 | 17 | 21 | 20 | 4 | 64 | 20 | 4 | 34 | 9 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 47 | 31 | 48 | 15 | 28 | 14 | 72.7% | 12.9% | 93.8% | 106.7 | LUCKY |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 13 | 13 | 7 | 0 | 18 | 10 | 10 | 15 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 24 | 15 | 21 | 8 | 14 | 7 | 66.7% | 9.1% | 77.8% | 86.9 | FUN |
3 | ![]() | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 9 | 4 | 5 | 0.833 | 13 | 23 | 36 | 0 | 0 | 4 | 4 | 5 | 0 | 81 | 27 | 26 | 27 | 1 | 80 | 27 | 22 | 49 | 11 | 3 | 27.27% | 9 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 67 | 44 | 73 | 23 | 40 | 19 | 52.6% | 16.0% | 88.8% | 104.8 | FUN |
4 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 28 | 8 | 10 | 8 | 2 | 26 | 9 | 12 | 20 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 25 | 18 | 23 | 6 | 13 | 6 | 60.0% | 10.7% | 92.3% | 103.0 | LUCKY |
5 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 1.000 | 10 | 18 | 28 | 0 | 0 | 4 | 3 | 3 | 0 | 94 | 32 | 32 | 30 | 0 | 74 | 23 | 14 | 62 | 14 | 2 | 14.29% | 7 | 1 | 85.71% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 68 | 45 | 70 | 23 | 41 | 20 | 72.7% | 10.6% | 94.6% | 105.2 | LUCKY |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 11 | 3 | 6 | 0 | 26 | 7 | 10 | 27 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 22 | 14 | 24 | 6 | 13 | 6 | 25.0% | 5.0% | 84.6% | 89.6 | Unlucky |
7 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 49 | 19 | 16 | 14 | 0 | 56 | 8 | 18 | 34 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 47 | 32 | 47 | 15 | 25 | 12 | 42.9% | 10.2% | 91.1% | 101.3 | Unlucky |
8 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 60 | 16 | 21 | 19 | 4 | 51 | 18 | 6 | 34 | 11 | 2 | 18.18% | 3 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 50 | 34 | 45 | 16 | 28 | 14 | 50.0% | 10.0% | 92.2% | 102.2 | LUCKY |
9 | ![]() | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 10 | 12 | -2 | 4 | 0.500 | 10 | 16 | 26 | 0 | 0 | 2 | 4 | 2 | 2 | 101 | 31 | 36 | 29 | 12 | 132 | 45 | 26 | 70 | 13 | 1 | 7.69% | 13 | 1 | 92.31% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 91 | 58 | 97 | 33 | 57 | 28 | 45.0% | 9.9% | 90.9% | 100.8 | FUN |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 29 | 8 | 12 | 7 | 2 | 27 | 7 | 6 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 30 | 22 | 19 | 6 | 13 | 6 | 37.5% | 13.8% | 81.5% | 95.3 | FUN |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 33 | 9 | 15 | 9 | 0 | 25 | 7 | 2 | 23 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 25 | 18 | 21 | 7 | 12 | 6 | 83.3% | 15.2% | 96.0% | 111.2 | LUCKY |
12 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 45 | 19 | 10 | 16 | 0 | 50 | 15 | 45 | 43 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 41 | 26 | 53 | 14 | 25 | 12 | 42.9% | 6.7% | 90.0% | 96.7 | Unlucky |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 6 | 4 | 0 | 0 | 62 | 21 | 27 | 14 | 0 | 65 | 12 | 24 | 31 | 6 | 0 | 0.00% | 11 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 44 | 30 | 51 | 15 | 24 | 11 | 76.9% | 16.1% | 95.4% | 111.5 | LUCKY |
14 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 1 | 30 | 16 | 5 | 8 | 5 | 18 | 5 | 8 | 24 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 29 | 21 | 21 | 7 | 14 | 7 | 50.0% | 10.0% | 77.8% | 87.8 | FUN |
15 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 2 | 4 | 2 | 1 | 59 | 19 | 17 | 19 | 7 | 64 | 15 | 20 | 59 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 47 | 32 | 51 | 16 | 26 | 12 | 70.0% | 13.6% | 92.2% | 105.7 | LUCKY |
16 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 2 | 59 | 13 | 15 | 29 | 6 | 66 | 21 | 8 | 28 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 44 | 30 | 53 | 15 | 26 | 13 | 54.5% | 10.2% | 90.9% | 101.1 | FUN |
_Vs Division | 15 | 9 | 4 | 0 | 1 | 1 | 0 | 0 | 52 | 34 | 18 | 21 | 0.700 | 52 | 94 | 146 | 0 | 1 | 19 | 16 | 16 | 1 | 426 | 148 | 145 | 128 | 5 | 407 | 115 | 137 | 268 | 56 | 8 | 14.29% | 48 | 7 | 85.42% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 341 | 226 | 364 | 116 | 199 | 97 | 62.0% | 12.2% | 91.6% | 103.9 | LUCKY | |
_Vs Conference | 17 | 9 | 5 | 0 | 2 | 1 | 0 | 0 | 56 | 40 | 16 | 23 | 0.676 | 56 | 101 | 157 | 0 | 1 | 20 | 17 | 17 | 2 | 474 | 167 | 158 | 142 | 7 | 459 | 131 | 159 | 315 | 59 | 8 | 13.56% | 57 | 8 | 85.96% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 389 | 259 | 412 | 130 | 226 | 111 | 60.0% | 11.8% | 91.3% | 103.1 | LUCKY | |
_Since Last GM Reset | 30 | 13 | 7 | 0 | 3 | 3 | 1 | 3 | 98 | 77 | 21 | 40 | 0.667 | 98 | 173 | 271 | 0 | 1 | 35 | 33 | 26 | 8 | 845 | 279 | 279 | 262 | 43 | 842 | 249 | 235 | 568 | 106 | 13 | 12.26% | 93 | 13 | 86.02% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 708 | 477 | 723 | 233 | 406 | 200 | 57.0% | 11.6% | 90.9% | 102.5 | FUN | |
Total | 30 | 13 | 7 | 0 | 3 | 3 | 1 | 3 | 98 | 77 | 21 | 40 | 0.667 | 98 | 173 | 271 | 0 | 1 | 35 | 33 | 26 | 8 | 845 | 279 | 279 | 262 | 43 | 842 | 249 | 235 | 568 | 106 | 13 | 12.26% | 93 | 13 | 86.02% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 708 | 477 | 723 | 233 | 406 | 200 | 57.0% | 11.6% | 90.9% | 102.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1025 |
Neutral Zone Start | 480 |
Defensive Zone Start | 979 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1344 |
Faceoffs Lost | 1140 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 18.6 | 20.31 |
3rd Period | 27.3 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 85 |
---|---|
PP Goal | 13 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 6 |
Lost | 3 | 4 |
Overtime Lost | 1 | 5 |
PP Attempt | 106 |
---|---|
PP Goal | 13 |
PK Attempt | 93 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 28.2 |
Shots Against | 28.1 |
Goals For | 3.3 |
Goals Against | 2.6 |
Hits | 18.9 |
Shots Blocked | 8.3 |
Pim | 7.8 |
![]() | |
Projected Total Cap Hit | 81,662,500$ |
Projected Cap Space | 6,337,500$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 30,184,690$ |
Players In Salary Cap | 23 |
Contracts | 54/50 |
LTIR Players | 0 |
Sabres Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Nylander ![]() ![]() | LW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Alex Ovechkin ![]() | LW | 38 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Cam Talbot ![]() | G | 36 | 3,666,667$ | 3,666,667$ | UFA | ||||||
Carter Verhaeghe ![]() | C/LW | 28 | 4,166,667$ | 4,166,667$ | 4,166,667$ | 4,166,667$ | UFA | ||||
Derick Brassard ![]() | C/LW | 36 | 750,000$ | 750,000$ | UFA | ||||||
Dmitry Kulikov ![]() | D | 33 | 850,000$ | 850,000$ | UFA | ||||||
Ilya Samsonov ![]() | G | 26 | 1,800,000$ | 1,800,000$ | 3,550,000$ | ![]() | |||||
Jake Walman ![]() | D | 27 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
Jonas Brodin ![]() | D | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Jordan Greenway ![]() | LW/RW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Jordan Oesterle ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Justin Danforth ![]() | C/RW | 30 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Marcus Foligno ![]() | LW/RW | 32 | 3,100,000$ | 3,100,000$ | 3,100,000$ | UFA | |||||
Matt Duchene ![]() | C/RW | 32 | 8,000,000$ | 8,000,000$ | 3,000,000$ | UFA | |||||
Max Domi ![]() | C/LW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Niko Mikkola ![]() | D | 27 | 1,900,000$ | 1,900,000$ | ![]() | ||||||
Patrick Kane ![]() | RW | 35 | 10,500,000$ | 10,500,000$ | UFA | ||||||
Robert Bortuzzo ![]() | D | 34 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Roope Hintz ![]() | C/LW | 27 | 3,150,000$ | 3,150,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ |
Sebastian AhoD ![]() | D | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Sidney Crosby ![]() | C | 36 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | ||||
Stefan Noesen ![]() | LW/RW | 30 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Yanni Gourde ![]() | C/LW/RW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie ![]() | C | 24 | 842,500$ | 842,500$ | RFA | ||||||
Anton Levtchi ![]() | LW | 28 | 842,500$ | 842,500$ | ![]() | ||||||
Ben Harpur ![]() | D | 28 | 750,000$ | 750,000$ | 787,500$ | 787,500$ | UFA | ||||
Buddy Robinson ![]() | RW | 32 | 750,000$ | 750,000$ | UFA | ||||||
Calvin Pickard ![]() | G | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Carl Dahlstrom ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Chris Terry ![]() ![]() | C | 34 | 750,000$ | 750,000$ | UFA | ||||||
Cooper Marody ![]() ![]() ![]() | C/RW | 26 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Dakota Mermis ![]() ![]() | D | 29 | 750,000$ | 750,000$ | UFA | ||||||
Drake Caggiula ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Dylan McLaughlin ![]() ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Dylan Sikura ![]() | C/RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Filip Roos ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Fredrik Olofsson ![]() | C/LW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Garret Sparks ![]() | G | 30 | 750,000$ | 750,000$ | UFA | ||||||
Hudson Elynuik ![]() | C/LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Hugh McGing ![]() | LW | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Kai Wissmann ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Kevin Poulin ![]() | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
Lukas Klok ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Marcus Bjork ![]() | D | 26 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Max Veronneau ![]() | C | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Mike Sgarbossa ![]() | C | 31 | 750,000$ | 750,000$ | UFA | ||||||
Nic Petan ![]() | C/LW/RW | 28 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Nick Desimone ![]() | D | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Peetro Seppala ![]() | D | 23 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
Pontus Andreasson ![]() | C/LW/RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Rocco Grimaldi ![]() | C/LW/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Saku Maenalanen ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Seth Griffith ![]() | C/RW | 30 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
T.J. Tynan ![]() ![]() | C | 31 | 787,500$ | 787,500$ | 787,500$ | UFA | |||||
Trevor Carrick ![]() ![]() | D | 29 | 750,000$ | 750,000$ | UFA | ||||||
Ty Ronning ![]() | RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Tyson Kozak ![]() | C | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Vincent Desharnais ![]() | D | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Zack Kassian ![]() | RW | 32 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 2 | 2 | 3 | 1 | 62 | 17 | 21 | 20 | 4 | 64 | 20 | 4 | 34 | 9 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 47 | 31 | 48 | 15 | 28 | 14 | 72.7% | 12.9% | 93.8% | 106.7 | LUCKY |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 13 | 13 | 7 | 0 | 18 | 10 | 10 | 15 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 24 | 15 | 21 | 8 | 14 | 7 | 66.7% | 9.1% | 77.8% | 86.9 | FUN |
3 | ![]() | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 9 | 4 | 5 | 0.833 | 13 | 23 | 36 | 0 | 0 | 4 | 4 | 5 | 0 | 81 | 27 | 26 | 27 | 1 | 80 | 27 | 22 | 49 | 11 | 3 | 27.27% | 9 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 67 | 44 | 73 | 23 | 40 | 19 | 52.6% | 16.0% | 88.8% | 104.8 | FUN |
4 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 28 | 8 | 10 | 8 | 2 | 26 | 9 | 12 | 20 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 25 | 18 | 23 | 6 | 13 | 6 | 60.0% | 10.7% | 92.3% | 103.0 | LUCKY |
5 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 1.000 | 10 | 18 | 28 | 0 | 0 | 4 | 3 | 3 | 0 | 94 | 32 | 32 | 30 | 0 | 74 | 23 | 14 | 62 | 14 | 2 | 14.29% | 7 | 1 | 85.71% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 68 | 45 | 70 | 23 | 41 | 20 | 72.7% | 10.6% | 94.6% | 105.2 | LUCKY |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 11 | 3 | 6 | 0 | 26 | 7 | 10 | 27 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 22 | 14 | 24 | 6 | 13 | 6 | 25.0% | 5.0% | 84.6% | 89.6 | Unlucky |
7 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 49 | 19 | 16 | 14 | 0 | 56 | 8 | 18 | 34 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 47 | 32 | 47 | 15 | 25 | 12 | 42.9% | 10.2% | 91.1% | 101.3 | Unlucky |
8 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 60 | 16 | 21 | 19 | 4 | 51 | 18 | 6 | 34 | 11 | 2 | 18.18% | 3 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 50 | 34 | 45 | 16 | 28 | 14 | 50.0% | 10.0% | 92.2% | 102.2 | LUCKY |
9 | ![]() | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 10 | 12 | -2 | 4 | 0.500 | 10 | 16 | 26 | 0 | 0 | 2 | 4 | 2 | 2 | 101 | 31 | 36 | 29 | 12 | 132 | 45 | 26 | 70 | 13 | 1 | 7.69% | 13 | 1 | 92.31% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 91 | 58 | 97 | 33 | 57 | 28 | 45.0% | 9.9% | 90.9% | 100.8 | FUN |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 29 | 8 | 12 | 7 | 2 | 27 | 7 | 6 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 30 | 22 | 19 | 6 | 13 | 6 | 37.5% | 13.8% | 81.5% | 95.3 | FUN |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 33 | 9 | 15 | 9 | 0 | 25 | 7 | 2 | 23 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 25 | 18 | 21 | 7 | 12 | 6 | 83.3% | 15.2% | 96.0% | 111.2 | LUCKY |
12 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 45 | 19 | 10 | 16 | 0 | 50 | 15 | 45 | 43 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 41 | 26 | 53 | 14 | 25 | 12 | 42.9% | 6.7% | 90.0% | 96.7 | Unlucky |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 6 | 4 | 0 | 0 | 62 | 21 | 27 | 14 | 0 | 65 | 12 | 24 | 31 | 6 | 0 | 0.00% | 11 | 0 | 100.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 44 | 30 | 51 | 15 | 24 | 11 | 76.9% | 16.1% | 95.4% | 111.5 | LUCKY |
14 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 1 | 30 | 16 | 5 | 8 | 5 | 18 | 5 | 8 | 24 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 29 | 21 | 21 | 7 | 14 | 7 | 50.0% | 10.0% | 77.8% | 87.8 | FUN |
15 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 2 | 4 | 2 | 1 | 59 | 19 | 17 | 19 | 7 | 64 | 15 | 20 | 59 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 47 | 32 | 51 | 16 | 26 | 12 | 70.0% | 13.6% | 92.2% | 105.7 | LUCKY |
16 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 2 | 59 | 13 | 15 | 29 | 6 | 66 | 21 | 8 | 28 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 44 | 30 | 53 | 15 | 26 | 13 | 54.5% | 10.2% | 90.9% | 101.1 | FUN |
_Vs Division | 15 | 9 | 4 | 0 | 1 | 1 | 0 | 0 | 52 | 34 | 18 | 21 | 0.700 | 52 | 94 | 146 | 0 | 1 | 19 | 16 | 16 | 1 | 426 | 148 | 145 | 128 | 5 | 407 | 115 | 137 | 268 | 56 | 8 | 14.29% | 48 | 7 | 85.42% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 341 | 226 | 364 | 116 | 199 | 97 | 62.0% | 12.2% | 91.6% | 103.9 | LUCKY | |
_Vs Conference | 17 | 9 | 5 | 0 | 2 | 1 | 0 | 0 | 56 | 40 | 16 | 23 | 0.676 | 56 | 101 | 157 | 0 | 1 | 20 | 17 | 17 | 2 | 474 | 167 | 158 | 142 | 7 | 459 | 131 | 159 | 315 | 59 | 8 | 13.56% | 57 | 8 | 85.96% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 389 | 259 | 412 | 130 | 226 | 111 | 60.0% | 11.8% | 91.3% | 103.1 | LUCKY | |
_Since Last GM Reset | 30 | 13 | 7 | 0 | 3 | 3 | 1 | 3 | 98 | 77 | 21 | 40 | 0.667 | 98 | 173 | 271 | 0 | 1 | 35 | 33 | 26 | 8 | 845 | 279 | 279 | 262 | 43 | 842 | 249 | 235 | 568 | 106 | 13 | 12.26% | 93 | 13 | 86.02% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 708 | 477 | 723 | 233 | 406 | 200 | 57.0% | 11.6% | 90.9% | 102.5 | FUN | |
Total | 30 | 13 | 7 | 0 | 3 | 3 | 1 | 3 | 98 | 77 | 21 | 40 | 0.667 | 98 | 173 | 271 | 0 | 1 | 35 | 33 | 26 | 8 | 845 | 279 | 279 | 262 | 43 | 842 | 249 | 235 | 568 | 106 | 13 | 12.26% | 93 | 13 | 86.02% | 0 | 550 | 1025 | 53.66% | 528 | 979 | 53.93% | 266 | 480 | 55.42% | 708 | 477 | 723 | 233 | 406 | 200 | 57.0% | 11.6% | 90.9% | 102.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1025 |
Neutral Zone Start | 480 |
Defensive Zone Start | 979 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1344 |
Faceoffs Lost | 1140 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 18.6 | 20.31 |
3rd Period | 27.3 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 85 |
---|---|
PP Goal | 13 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 6 |
Lost | 3 | 4 |
Overtime Lost | 1 | 5 |
PP Attempt | 106 |
---|---|
PP Goal | 13 |
PK Attempt | 93 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 28.2 |
Shots Against | 28.1 |
Goals For | 3.3 |
Goals Against | 2.6 |
Hits | 18.9 |
Shots Blocked | 8.3 |
Pim | 7.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Oct 7 | ![]() | @ | ![]() | BUF3,BOS0 | RECAP |
Sun, Oct 8 | ![]() | @ | ![]() | BUF4,CGY1 | RECAP |
Mon, Oct 9 | ![]() | @ | ![]() | BOS4,BUF5 (OT) | RECAP |
Fri, Oct 13 | ![]() | @ | ![]() | TBL2,BUF5 | RECAP |
Sat, Oct 14 | ![]() | @ | ![]() | BUF2,OTT3 (OT) | RECAP |
Tue, Oct 17 | ![]() | @ | ![]() | MTL3,BUF2 | RECAP |
Fri, Oct 20 | ![]() | @ | ![]() | SJS3,BUF1 | RECAP |
Sun, Oct 22 | ![]() | @ | ![]() | BUF1,SJS3 | RECAP |
Tue, Oct 24 | ![]() | @ | ![]() | BUF2,TOR3 | RECAP |
Thu, Oct 26 | ![]() | @ | ![]() | TOR2,BUF1 | RECAP |
Fri, Oct 27 | ![]() | @ | ![]() | BUF3,DET4 | RECAP |
Mon, Oct 30 | ![]() | @ | ![]() | FLA1,BUF3 | RECAP |
Wed, Nov 1 | ![]() | @ | ![]() | BUF6,OTT4 | RECAP |
Fri, Nov 3 | ![]() | @ | ![]() | OTT2,BUF5 | RECAP |
Sun, Nov 5 | ![]() | @ | ![]() | TBL1,BUF5 | RECAP |
Tue, Nov 7 | ![]() | @ | ![]() | BUF2,CGY3 (OT) | RECAP |
Wed, Nov 8 | ![]() | @ | ![]() | BUF5,LAK1 | RECAP |
Fri, Nov 10 | ![]() | @ | ![]() | FLA1,BUF3 | RECAP |
Mon, Nov 13 | ![]() | @ | ![]() | BUF2,SEA3 (SO) | RECAP |
Wed, Nov 15 | ![]() | @ | ![]() | WSH2,BUF3 (OT) | RECAP |
Thu, Nov 16 | ![]() | @ | ![]() | BUF1,PIT4 | RECAP |
Sat, Nov 18 | ![]() | @ | ![]() | MTL2,BUF3 | RECAP |
Mon, Nov 20 | ![]() | @ | ![]() | BUF4,DAL5 (OT) | RECAP |
Wed, Nov 22 | ![]() | @ | ![]() | BUF3,VGK4 (SO) | RECAP |
Fri, Nov 24 | ![]() | @ | ![]() | STL4,BUF3 (SO) | RECAP |
Sun, Nov 26 | ![]() | @ | ![]() | BUF3,SJS2 (OT) | RECAP |
Tue, Nov 28 | ![]() | @ | ![]() | SJS4,BUF5 (SO) | RECAP |
Sat, Dec 2 | ![]() | @ | ![]() | VGK1,BUF5 | RECAP |
Mon, Dec 4 | ![]() | @ | ![]() | BUF4,FLA2 | RECAP |
Wed, Dec 6 | ![]() | @ | ![]() | SEA3,BUF4 | RECAP |
Fri, Dec 8 | ![]() | @ | ![]() | ||
Mon, Dec 11 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Fri, Dec 15 | ![]() | @ | ![]() | ||
Sun, Dec 17 | ![]() | @ | ![]() | ||
Tue, Dec 19 | ![]() | @ | ![]() | ||
Thu, Dec 21 | ![]() | @ | ![]() | ||
Sat, Dec 23 | ![]() | @ | ![]() | ||
Mon, Dec 25 | ![]() | @ | ![]() | ||
Wed, Dec 27 | ![]() | @ | ![]() | ||
Mon, Jan 1 | ![]() | @ | ![]() | ||
Thu, Jan 4 | ![]() | @ | ![]() | ||
Sat, Jan 6 | ![]() | @ | ![]() | ||
Sun, Jan 7 | ![]() | @ | ![]() | ||
Tue, Jan 9 | ![]() | @ | ![]() | ||
Fri, Jan 12 | ![]() | @ | ![]() | ||
Sat, Jan 13 | ![]() | @ | ![]() | ||
Tue, Jan 16 | ![]() | @ | ![]() | ||
Thu, Jan 18 | ![]() | @ | ![]() | ||
Sat, Jan 20 | ![]() | @ | ![]() | ||
Sun, Jan 21 | ![]() | @ | ![]() | ||
Mon, Jan 22 | ![]() | @ | ![]() | ||
Thu, Jan 25 | ![]() | @ | ![]() | ||
Sat, Jan 27 | ![]() | @ | ![]() | ||
Mon, Jan 29 | ![]() | @ | ![]() | ||
Tue, Jan 30 | ![]() | @ | ![]() | ||
Fri, Feb 2 | ![]() | @ | ![]() | ||
Sun, Feb 4 | ![]() | @ | ![]() | ||
Tue, Feb 6 | ![]() | @ | ![]() | ||
Wed, Feb 7 | ![]() | @ | ![]() | ||
Fri, Feb 9 | ![]() | @ | ![]() | ||
Sun, Feb 11 | ![]() | @ | ![]() | ||
Tue, Feb 13 | ![]() | @ | ![]() | ||
Fri, Feb 16 | ![]() | @ | ![]() | ||
Sun, Feb 18 | ![]() | @ | ![]() | ||
Mon, Feb 19 | ![]() | @ | ![]() | ||
Wed, Feb 21 | ![]() | @ | ![]() | ||
Sat, Feb 24 | ![]() | @ | ![]() | ||
Mon, Feb 26 | ![]() | @ | ![]() | ||
Tue, Feb 27 | ![]() | @ | ![]() | ||
Fri, Mar 1 | ![]() | @ | ![]() | ||
Sat, Mar 2 | ![]() | @ | ![]() | ||
Wed, Mar 6 | ![]() | @ | ![]() | ||
Sat, Mar 9 | ![]() | @ | ![]() | ||
Mon, Mar 11 | ![]() | @ | ![]() | ||
Wed, Mar 13 | ![]() | @ | ![]() | ||
Thu, Mar 14 | ![]() | @ | ![]() | ||
Tue, Mar 19 | ![]() | @ | ![]() | ||
Thu, Mar 21 | ![]() | @ | ![]() | ||
Sun, Mar 24 | ![]() | @ | ![]() | ||
Thu, Mar 28 | ![]() | @ | ![]() | ||
Fri, Mar 29 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,662,500$ | 0$ | 81,662,500$ | 6,337,500$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | KeyBank Center | |
City | Buffalo | ||
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 | 84714 | 70596 | 28523 | 58239 | 14289 |
Attendance PCT | 94.13% | 94.13% | 95.08% | 97.07% | 95.26% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 17091 - 94.95% | 1,789,911$ | 26,848,670$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,662,500$ | 81,662,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
30,534,989$ | 81,662,500$ | 30,184,690$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
46,537,695$ | 115 | 467,020$ | 53,707,300$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
56,004,195$ | 81,662,500$ | 7,652,450$ | 249,371$ |
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 |
---|---|---|---|---|---|---|
2024 | ![]() ![]() ![]() ![]() | |||||
2025 | ![]() ![]() ![]() ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Ales Stezka | ![]() | 2015 | 111 | Link | |
Austin Roest | ![]() | 2023 | |||
Liam Dower-Nilsson | ![]() | 2021 | |||
Logan Stankoven | ![]() | 2021 | |||
Matthew Seminoff | ![]() | 2022 | 179 | Link | |
Nikita Quapp | ![]() | 2021 | |||
Roman Kantserov | ![]() | 2023 | 44 | Link | |
Rutger McGroarty | ![]() | 2022 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
2024 | ![]() ![]() ![]() ![]() | |||||
2025 | ![]() ![]() ![]() ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Ales Stezka | ![]() | 2015 | 111 | Link | |
Austin Roest | ![]() | 2023 | |||
Liam Dower-Nilsson | ![]() | 2021 | |||
Logan Stankoven | ![]() | 2021 | |||
Matthew Seminoff | ![]() | 2022 | 179 | Link | |
Nikita Quapp | ![]() | 2021 | |||
Roman Kantserov | ![]() | 2023 | 44 | Link | |
Rutger McGroarty | ![]() | 2022 |
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