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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/LW/RW | 96.00 | 77 | 68 | 79 | 75 | 89 | 85 | 94 | 82 | 84 | 88 | 78 | 72 | 70 | 77 | 66 | 0 | 83 | 30 | 5,250,000$/8yrs | |||||
![]() | LW/RW | 99.00 | 67 | 40 | 86 | 83 | 82 | 80 | 92 | 81 | 65 | 84 | 82 | 65 | 67 | 70 | 59 | 0 | 81 | 27 | 6,962,366$/2yrs | |||||
![]() | LW/RW | 100.00 | 78 | 57 | 79 | 82 | 90 | 82 | 93 | 77 | 60 | 79 | 81 | 70 | 63 | 69 | 59 | 0 | 81 | 27 | 6,000,000$/9yrs | |||||
![]() | LW/RW | 100.00 | 73 | 40 | 93 | 80 | 79 | 83 | 82 | 76 | 52 | 82 | 74 | 74 | 81 | 68 | 59 | 0 | 80 | 28 | 6,125,000$/8yrs | |||||
![]() | C/LW/RW | 97.00 | 68 | 64 | 85 | 72 | 74 | 82 | 89 | 69 | 79 | 77 | 68 | 77 | 54 | 67 | 59 | 0 | 76 | 28 | 3,500,000$/6yrs | |||||
![]() | LW/RW | 100.00 | 67 | 40 | 93 | 73 | 73 | 75 | 76 | 69 | 52 | 76 | 73 | 73 | 54 | 60 | 58 | 0 | 75 | 29 | 4,750,000$/4yrs | |||||
![]() | C | 100.00 | 68 | 40 | 88 | 60 | 76 | 68 | 88 | 65 | 85 | 73 | 66 | 68 | 54 | 91 | 73 | 0 | 72 | 37 | 2,000,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 66 | 40 | 93 | 63 | 78 | 73 | 86 | 65 | 62 | 76 | 65 | 66 | 58 | 88 | 70 | 0 | 72 | 34 | 5,000,000$/2yrs | |||||
![]() | LW | 100.00 | 72 | 40 | 86 | 63 | 73 | 62 | 89 | 61 | 56 | 70 | 63 | 71 | 54 | 64 | 59 | 0 | 69 | 27 | 2,500,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 68 | 41 | 86 | 66 | 75 | 67 | 76 | 59 | 54 | 69 | 61 | 68 | 58 | 60 | 58 | 0 | 68 | 24 | 1,825,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 71 | 40 | 85 | 65 | 75 | 64 | 75 | 54 | 66 | 67 | 56 | 73 | 58 | 81 | 60 | 0 | 67 | 36 | 1,250,000$/1yrs | |||||
![]() | D | 100.00 | 70 | 57 | 79 | 81 | 74 | 94 | 92 | 74 | 40 | 85 | 67 | 78 | 54 | 69 | 67 | 0 | 80 | 28 | 6,250,000$/6yrs | |||||
![]() | D | 98.00 | 78 | 65 | 72 | 76 | 94 | 79 | 93 | 61 | 40 | 70 | 65 | 83 | 54 | 72 | 59 | 0 | 76 | 28 | 3,750,000$/2yrs | |||||
![]() | D | 100.00 | 65 | 57 | 86 | 69 | 83 | 82 | 80 | 59 | 40 | 71 | 60 | 84 | 54 | 78 | 60 | 0 | 74 | 36 | 5,250,000$/2yrs | |||||
![]() | D | 100.00 | 71 | 40 | 83 | 80 | 74 | 77 | 79 | 62 | 40 | 72 | 62 | 84 | 54 | 58 | 58 | 0 | 74 | 24 | 1,400,000$/2yrs | |||||
![]() | D | 100.00 | 72 | 47 | 82 | 62 | 75 | 72 | 82 | 58 | 40 | 71 | 59 | 83 | 54 | 72 | 59 | 0 | 71 | 32 | 850,000$/2yrs | |||||
![]() | D | 100.00 | 65 | 62 | 72 | 72 | 72 | 76 | 62 | 60 | 44 | 71 | 59 | 77 | 54 | 55 | 57 | 0 | 70 | 21 | 1,283,333$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C/RW | 87.09 | 78 | 65 | 76 | 79 | 72 | 81 | 94 | 73 | 87 | 81 | 70 | 71 | 59 | 74 | 67 | 0 | 78 | 30 | 5,625,000$/7yrs | |||||
![]() | LW/RW | 100.00 | 62 | 46 | 70 | 67 | 72 | 68 | 60 | 57 | 54 | 67 | 61 | 61 | 55 | 58 | 57 | 0 | 66 | 25 | 750,000$/2yrs | |||||
![]() | D | 100.00 | 63 | 40 | 82 | 70 | 72 | 77 | 72 | 62 | 40 | 75 | 59 | 77 | 54 | 58 | 58 | 0 | 71 | 25 | 2,333,333$/2yrs | |||||
TEAM AVERAGE | 98.85 | 70 | 49 | 83 | 72 | 78 | 76 | 83 | 66 | 57 | 75 | 66 | 74 | 58 | 69 | 61 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 75 | 72 | 73 | 80 | 83 | 75 | 81 | 70 | 82 | 79 | 86 | 89 | 68 | 0 | 78 | 42 | 2,000,000$/1yrs | |
![]() | 46 | 99.00 | 81 | 65 | 65 | 85 | 77 | 72 | 81 | 72 | 75 | 70 | 77 | 56 | 54 | 0 | 75 | 23 | 925,000$/2yrs | |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 62 | 63 | 63 | 73 | 67 | 62 | 67 | 62 | 59 | 61 | 63 | 54 | 52 | 0 | 64 | 22 | 796,111$/2yrs | |
TEAM AVERAGE | 99.33 | 73 | 67 | 67 | 79 | 76 | 70 | 76 | 68 | 72 | 70 | 75 | 66 | 58 | 0 | 72 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Larry Robinson | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 68 | 4 | 0$ |
General Manager | Steve Rioux |
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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 | Josh Morrissey | ![]() | 80 | D | 28 | 4 | 23 | 27 | 0 | 22 | 0 | 50 | 47 | 19 | 47 | 8.51% | 29 | 25.57 | 3 | 8 | 11 | 0 | 0 | 0 | 93 | 1 | 0 | 0.00% | 0 | 0 | 0.96 | 0 | 0 | 0.73 | ||
2 | J.T. Miller | ![]() | 0 | C/LW/RW | 28 | 5 | 19 | 24 | -1 | 48 | 10 | 70 | 88 | 27 | 61 | 5.68% | 9 | 21.95 | 2 | 8 | 10 | 0 | 0 | 0 | 88 | 2 | 0 | 54.76% | 0 | 0 | 0.86 | 0 | 2 | 0.61 | ||
3 | Vincent Trocheck | ![]() | 21 | C/RW | 27 | 8 | 16 | 24 | 4 | 29 | 5 | 59 | 74 | 24 | 42 | 10.81% | 4 | 19.53 | 3 | 6 | 9 | 0 | 0 | 0 | 82 | 0 | 0 | 59.21% | 0 | 0 | 0.89 | 0 | 1 | 0.76 | ||
4 | Ilya Mikheyev | ![]() | 23 | LW/RW | 25 | 10 | 8 | 18 | 1 | 4 | 0 | 15 | 57 | 12 | 41 | 17.54% | 4 | 18.01 | 2 | 3 | 5 | 0 | 0 | 0 | 73 | 3 | 2 | 43.59% | 0 | 1 | 0.72 | 0 | 0 | 0.71 | ||
5 | William Nylander | ![]() | 96 | LW/RW | 28 | 7 | 10 | 17 | 0 | 4 | 0 | 15 | 83 | 24 | 78 | 8.43% | 2 | 21.45 | 3 | 4 | 7 | 0 | 0 | 0 | 85 | 1 | 0 | 50.91% | 0 | 0 | 0.61 | 0 | 2 | 0.69 | ||
6 | Timo Meier | ![]() | 0 | LW/RW | 26 | 9 | 7 | 16 | -1 | 18 | 0 | 40 | 72 | 25 | 41 | 12.50% | 5 | 20.62 | 2 | 1 | 3 | 0 | 0 | 0 | 78 | 2 | 1 | 48.94% | 0 | 0 | 0.62 | 1 | 2 | 0.58 | ||
7 | Timothy Liljegren | ![]() | 51 | D | 28 | 5 | 9 | 14 | -4 | 24 | 0 | 35 | 44 | 14 | 24 | 11.36% | 32 | 20.13 | 4 | 4 | 8 | 0 | 0 | 0 | 92 | 1 | 1 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.35 | ||
8 | J.T. Compher | ![]() | 74 | C/LW/RW | 28 | 4 | 9 | 13 | -4 | 8 | 0 | 20 | 55 | 21 | 45 | 7.27% | 4 | 18.82 | 1 | 4 | 5 | 0 | 0 | 0 | 23 | 0 | 0 | 49.00% | 0 | 0 | 0.46 | 1 | 1 | 0.42 | ||
9 | Valeri Nichushkin | ![]() | 0 | LW/RW | 25 | 7 | 5 | 12 | -7 | 8 | 0 | 33 | 71 | 19 | 40 | 9.86% | 2 | 18.44 | 3 | 2 | 5 | 0 | 0 | 0 | 26 | 0 | 1 | 41.82% | 0 | 0 | 0.48 | 1 | 1 | 0.45 | ||
10 | Josh Bailey | ![]() | 28 | C/LW/RW | 28 | 2 | 7 | 9 | 5 | 0 | 0 | 18 | 32 | 9 | 21 | 6.25% | 4 | 13.10 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 40.00% | 0 | 0 | 0.32 | 0 | 0 | 0.40 | ||
11 | Nikita Zadorov | ![]() | 7 | D | 28 | 3 | 6 | 9 | -4 | 46 | 0 | 79 | 45 | 12 | 21 | 6.67% | 33 | 22.91 | 2 | 6 | 8 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0.32 | 0 | 0 | 0.13 | ||
12 | Alec Martinez | ![]() | 0 | D | 26 | 4 | 3 | 7 | -2 | 14 | 0 | 27 | 33 | 9 | 19 | 12.12% | 27 | 20.28 | 1 | 0 | 1 | 0 | 0 | 0 | 74 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.24 | ||
13 | Oskar Lindblom | ![]() | 25 | LW | 28 | 4 | 3 | 7 | 1 | 2 | 0 | 33 | 33 | 4 | 23 | 12.12% | 2 | 11.70 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 3 | 1 | 32.14% | 0 | 0 | 0.25 | 0 | 0 | 0.29 | ||
14 | Filip Zadina | ![]() | 16 | LW/RW | 28 | 3 | 2 | 5 | -5 | 8 | 0 | 14 | 17 | 3 | 14 | 17.65% | 4 | 10.55 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 0 | 1 | 54.55% | 0 | 0 | 0.18 | 0 | 0 | 0.08 | ||
15 | Paul Stastny | ![]() | 0 | C | 28 | 3 | 2 | 5 | -2 | 12 | 0 | 17 | 36 | 12 | 19 | 8.33% | 3 | 12.28 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 1 | 54.72% | 0 | 0 | 0.18 | 0 | 0 | 0.15 | ||
16 | Calvin De Haan | ![]() | 0 | D | 24 | 0 | 5 | 5 | -9 | 18 | 0 | 33 | 23 | 10 | 18 | 0.00% | 29 | 21.42 | 0 | 2 | 2 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.05 | ||
17 | Alex Nylander | ![]() | 36 | LW/RW | 26 | 1 | 2 | 3 | 1 | 10 | 0 | 15 | 20 | 3 | 13 | 5.00% | 0 | 10.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27.59% | 0 | 0 | 0.12 | 0 | 0 | 0.10 | ||
18 | Jake Bean | ![]() | 12 | D | 10 | 0 | 2 | 2 | 0 | 8 | 0 | 4 | 7 | 4 | 5 | 0.00% | 5 | 14.18 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.07 | ||
19 | Darren Helm | ![]() | 44 | C/LW/RW | 28 | 0 | 1 | 1 | -6 | 10 | 0 | 15 | 12 | 5 | 12 | 0.00% | 2 | 7.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.71% | 0 | 0 | 0.04 | 0 | 0 | -0.07 | ||
20 | Kaiden Guhle | ![]() | 0 | D | 2 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 1 | 1 | 0 | 0.00% | 3 | 21.35 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.36 | ||
Team Total or Average | 499 | 79 | 139 | 218 | -35 | 295 | 15 | 595 | 850 | 257 | 584 | 9.29% | 203 | 17.42 | 27 | 51 | 78 | 1254 | 0 | 0 | 0 | 917 | 14 | 9 | 53.44% | 2341 | 0 | 0 | 0 | 1 | 0.50 | 3 | 9 |
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 | Craig Anderson | ![]() | 19 | 11 | 6 | 1 | 0.903 | 2.50 | 962 | 0 | 1 | 40 | 414 | 0 | 0 | 0 | 1.000 | 4 | 15 | 11 | 0 | 1 | 2 |
2 | Arturs Silovs | ![]() | 4 | 2 | 1 | 0 | 0.884 | 3.19 | 188 | 4 | 0 | 10 | 86 | 0 | 0 | 0 | 0.000 | 0 | 4 | 5 | 0 | 0 | 0 |
3 | Akira Schmid | ![]() | 10 | 2 | 2 | 3 | 0.884 | 2.85 | 548 | 0 | 0 | 26 | 224 | 0 | 1 | 1 | 0.000 | 2 | 9 | 12 | 1 | 0 | 0 |
Team Total or Average | 33 | 15 | 9 | 4 | 0.895 | 2.68 | 1699 | 4 | 1 | 76 | 724 | 0 | 1 | 1 | 0.667 | 6 | 28 | 28 | 1 | 1 | 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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 29 | 5 | 9 | 15 | 0 | 22 | 8 | 12 | 14 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 14 | 23 | 8 | 13 | 6 | 60.0% | 13.8% | 86.4% | 100.2 | FUN |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 1 | 6 | 2 | 0 | 55 | 17 | 16 | 22 | 0 | 49 | 16 | 20 | 59 | 15 | 3 | 20.00% | 9 | 3 | 66.67% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 52 | 34 | 42 | 16 | 25 | 13 | 85.7% | 16.4% | 91.8% | 108.2 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 4 | 4 | 10 | 0 | 30 | 10 | 12 | 30 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 18 | 11 | 27 | 7 | 13 | 6 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
4 | ![]() | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 1 | 2 | 58 | 22 | 16 | 18 | 6 | 49 | 17 | 20 | 46 | 6 | 2 | 33.33% | 9 | 1 | 88.89% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 55 | 37 | 47 | 14 | 26 | 14 | 54.5% | 13.8% | 87.8% | 101.5 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 29 | 15 | 3 | 11 | 0 | 26 | 9 | 17 | 21 | 6 | 3 | 50.00% | 4 | 1 | 75.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 21 | 13 | 23 | 8 | 14 | 6 | 40.0% | 17.2% | 84.6% | 101.9 | FUN |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 25 | 7 | 11 | 7 | 0 | 25 | 3 | 10 | 12 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 15 | 23 | 8 | 12 | 5 | 40.0% | 12.0% | 80.0% | 92.0 | FUN |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 1 | 6 | 14 | 0 | 22 | 8 | 10 | 18 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 15 | 23 | 8 | 12 | 5 | 66.7% | 9.5% | 95.5% | 105.0 | LUCKY |
8 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 34 | 11 | 11 | 12 | 0 | 62 | 19 | 22 | 37 | 6 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 45 | 29 | 50 | 14 | 24 | 12 | 42.9% | 8.8% | 90.3% | 99.1 | Unlucky |
9 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 21 | 10 | 4 | 7 | 0 | 28 | 7 | 2 | 22 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 15 | 22 | 8 | 13 | 7 | 25.0% | 9.5% | 89.3% | 98.8 | FUN |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 6 | 7 | 8 | 4 | 27 | 5 | 8 | 25 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 25 | 17 | 26 | 8 | 13 | 6 | 33.3% | 4.3% | 92.6% | 96.9 | DULL |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 20 | 4 | 7 | 9 | 0 | 21 | 6 | 4 | 16 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 15 | 23 | 7 | 13 | 6 | 75.0% | 15.0% | 95.2% | 110.2 | LUCKY |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 28 | 17 | 5 | 6 | 0 | 24 | 8 | 6 | 18 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 15 | 26 | 7 | 11 | 5 | 60.0% | 10.7% | 91.7% | 102.4 | LUCKY |
13 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 19 | 10 | 3 | 6 | 0 | 28 | 7 | 6 | 15 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 15 | 25 | 6 | 12 | 6 | 33.3% | 5.3% | 85.7% | 91.0 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 2 | 1 | 0 | 0 | 41 | 18 | 14 | 9 | 0 | 18 | 7 | 10 | 25 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 26 | 18 | 21 | 7 | 12 | 5 | 100.0% | 7.3% | 100.0% | 107.3 | DULL |
15 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 3 | 1 | 0 | 56 | 23 | 21 | 12 | 0 | 58 | 10 | 24 | 40 | 12 | 3 | 25.00% | 8 | 3 | 62.50% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 45 | 31 | 50 | 15 | 24 | 12 | 62.5% | 14.3% | 89.7% | 103.9 | FUN |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 6 | 7 | 7 | 0 | 30 | 8 | 15 | 13 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 21 | 13 | 25 | 8 | 13 | 6 | 0.0% | 5.0% | 90.0% | 95.0 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 9 | 7 | 10 | 0 | 31 | 16 | 12 | 18 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 17 | 23 | 6 | 12 | 5 | 0.0% | 3.8% | 90.3% | 94.2 | Unlucky |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 10 | 11 | 8 | 0 | 26 | 9 | 8 | 18 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 27 | 19 | 21 | 7 | 11 | 5 | 25.0% | 3.4% | 88.5% | 91.9 | Unlucky |
19 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 6 | 10 | 9 | 0 | 33 | 6 | 12 | 30 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 21 | 14 | 26 | 7 | 11 | 5 | 0.0% | 0.0% | 81.8% | 81.8 | Unlucky |
20 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 1 | 5 | 1 | 0 | 76 | 19 | 34 | 20 | 3 | 47 | 15 | 22 | 37 | 11 | 3 | 27.27% | 10 | 1 | 90.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 53 | 36 | 45 | 15 | 25 | 13 | 44.4% | 9.2% | 87.2% | 96.4 | FUN |
21 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 56 | 22 | 16 | 18 | 0 | 51 | 14 | 33 | 40 | 14 | 2 | 14.29% | 12 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 48 | 32 | 45 | 16 | 25 | 13 | 60.0% | 8.9% | 96.1% | 105.0 | Unlucky |
22 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 31 | 9 | 5 | 17 | 0 | 18 | 4 | 8 | 16 | 6 | 2 | 33.33% | 4 | 2 | 50.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 27 | 19 | 17 | 7 | 14 | 7 | 0.0% | 6.5% | 77.8% | 84.2 | Unlucky |
_Vs Division | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 17 | 19 | -2 | 8 | 0.571 | 17 | 32 | 49 | 0 | 0 | 7 | 4 | 6 | 0 | 188 | 73 | 52 | 63 | 0 | 186 | 51 | 83 | 129 | 39 | 8 | 20.51% | 32 | 9 | 71.88% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 168 | 117 | 163 | 53 | 88 | 44 | 47.4% | 9.0% | 89.8% | 98.8 | FUN | |
_Vs Conference | 13 | 7 | 4 | 0 | 0 | 1 | 0 | 1 | 32 | 32 | 0 | 16 | 0.615 | 32 | 59 | 91 | 0 | 1 | 12 | 10 | 10 | 0 | 376 | 139 | 119 | 113 | 7 | 332 | 94 | 144 | 247 | 65 | 13 | 20.00% | 58 | 12 | 79.31% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 316 | 219 | 308 | 100 | 164 | 82 | 48.7% | 8.5% | 90.4% | 98.9 | Unlucky | |
_Since Last GM Reset | 28 | 13 | 9 | 0 | 1 | 3 | 1 | 1 | 72 | 78 | -6 | 34 | 0.607 | 72 | 133 | 205 | 1 | 1 | 22 | 25 | 23 | 2 | 740 | 251 | 227 | 255 | 13 | 725 | 212 | 293 | 570 | 126 | 24 | 19.05% | 123 | 27 | 78.05% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 674 | 458 | 666 | 217 | 359 | 179 | 48.5% | 9.7% | 89.2% | 99.0 | FUN | |
Total | 28 | 13 | 9 | 0 | 1 | 3 | 1 | 1 | 72 | 78 | -6 | 34 | 0.607 | 72 | 133 | 205 | 1 | 1 | 22 | 25 | 23 | 2 | 740 | 251 | 227 | 255 | 13 | 725 | 212 | 293 | 570 | 126 | 24 | 19.05% | 123 | 27 | 78.05% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 674 | 458 | 666 | 217 | 359 | 179 | 48.5% | 9.7% | 89.2% | 99.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 918 |
Neutral Zone Start | 422 |
Defensive Zone Start | 925 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1226 |
Faceoffs Lost | 1039 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 17.1 | 20.31 |
3rd Period | 26.2 | 30.68 |
Overtime | 26.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 47 |
---|---|
PP Goal | 24 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 7 |
Lost | 5 | 4 |
Overtime Lost | 1 | 3 |
PP Attempt | 126 |
---|---|
PP Goal | 24 |
PK Attempt | 123 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 26.4 |
Shots Against | 25.9 |
Goals For | 2.6 |
Goals Against | 2.8 |
Hits | 20.4 |
Shots Blocked | 7.6 |
Pim | 10.5 |
![]() | |
Projected Total Cap Hit | 76,375,143$ |
Projected Cap Space | 6,124,857$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,202,721$ |
Players In Salary Cap | 23 |
Contracts | 50/50 |
LTIR Players | 0 |
Sharks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid ![]() | G | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Alec Martinez ![]() | D | 36 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Alex Nylander ![]() | LW/RW | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Arturs Silovs ![]() | G | 22 | 796,111$ | 796,111$ | 796,111$ | RFA | |||||
Calvin De Haan ![]() | D | 32 | 850,000$ | 850,000$ | 775,000$ | UFA | |||||
Craig Anderson ![]() | G | 42 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Darren Helm ![]() | C/LW/RW | 36 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Filip Zadina ![]() | LW/RW | 24 | 1,825,000$ | 1,825,000$ | 1,100,000$ | ![]() | |||||
Ilya Mikheyev ![]() | LW/RW | 29 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
J.T. Compher ![]() | C/LW/RW | 28 | 3,500,000$ | 3,500,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | UFA | |
J.T. Miller ![]() | C/LW/RW | 30 | 5,250,000$ | 5,250,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ |
Jake Bean ![]() | D | 25 | 2,333,333$ | 2,333,333$ | 2,333,333$ | ![]() | |||||
Josh Bailey ![]() | C/LW/RW | 34 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Josh Morrissey ![]() | D | 28 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |
Kaiden Guhle ![]() | D | 21 | 1,283,333$ | 1,283,333$ | 1,283,333$ | RFA | |||||
Nikita Zadorov ![]() | D | 28 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Oskar Lindblom ![]() | LW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Paul Stastny ![]() | C | 37 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Timo Meier ![]() | LW/RW | 27 | 6,000,000$ | 6,000,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ |
Timothy Liljegren ![]() | D | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ![]() | |||||
Valeri Nichushkin ![]() | LW/RW | 28 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ |
Vincent Trocheck ![]() | C/RW | 30 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA |
William Nylander ![]() | LW/RW | 27 | 6,962,366$ | 6,962,366$ | 6,962,366$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Amir Miftakhov ![]() | G | 23 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | ![]() | ||||
Cole Krygier ![]() | D | 23 | 837,500$ | 837,500$ | 837,500$ | ![]() | |||||
Cole Schwindt ![]() | C | 22 | 910,833$ | 910,833$ | 910,833$ | RFA | |||||
Corey Andonovski ![]() | RW | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
David Gustafsson ![]() | C/LW | 23 | 775,000$ | 775,000$ | 825,000$ | ![]() | |||||
Dennis Hildeby ![]() | G | 22 | 750,000$ | 843,333$ | 843,333$ | 843,333$ | RFA | ||||
Eemil Viro ![]() | D | 21 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Gage Quinney ![]() | C/LW | 28 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Helge Grans ![]() | D | 21 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | RFA | ||||
Jan Jenik ![]() | RW | 23 | 902,500$ | 902,500$ | 775,000$ | RFA | |||||
Jasper Weatherby ![]() | C | 25 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Jon Gillies ![]() | G | 29 | 750,000$ | 750,000$ | UFA | ||||||
Josh Melnick ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Leon Gawanke ![]() | D | 24 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Marc Johnstone ![]() | RW | 27 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Markus Nurmi ![]() | RW | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Mason Morelli ![]() | C/LW | 27 | 750,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Mason Primeau ![]() | C | 22 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Nicolas Beaudin ![]() | D | 24 | 1,105,000$ | 1,105,000$ | 775,000$ | ![]() | |||||
Nicolas Meloche ![]() | D | 26 | 950,000$ | 950,000$ | ![]() | ||||||
Philip Broberg ![]() | D | 22 | 1,713,333$ | 1,713,333$ | 1,713,333$ | RFA | |||||
Ryan Wagner ![]() | C/LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Simon Ryfors ![]() | C/LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Turner Elson ![]() | C/LW | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Tyler Benson ![]() | LW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Victor Berglund ![]() | D | 24 | 850,333$ | 850,333$ | RFA | ||||||
Zane Mcintyre ![]() | G | 31 | 750,000$ | 750,000$ | 775,000$ | 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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 29 | 5 | 9 | 15 | 0 | 22 | 8 | 12 | 14 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 14 | 23 | 8 | 13 | 6 | 60.0% | 13.8% | 86.4% | 100.2 | FUN |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 1 | 6 | 2 | 0 | 55 | 17 | 16 | 22 | 0 | 49 | 16 | 20 | 59 | 15 | 3 | 20.00% | 9 | 3 | 66.67% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 52 | 34 | 42 | 16 | 25 | 13 | 85.7% | 16.4% | 91.8% | 108.2 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 4 | 4 | 10 | 0 | 30 | 10 | 12 | 30 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 18 | 11 | 27 | 7 | 13 | 6 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
4 | ![]() | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 1 | 2 | 58 | 22 | 16 | 18 | 6 | 49 | 17 | 20 | 46 | 6 | 2 | 33.33% | 9 | 1 | 88.89% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 55 | 37 | 47 | 14 | 26 | 14 | 54.5% | 13.8% | 87.8% | 101.5 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 29 | 15 | 3 | 11 | 0 | 26 | 9 | 17 | 21 | 6 | 3 | 50.00% | 4 | 1 | 75.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 21 | 13 | 23 | 8 | 14 | 6 | 40.0% | 17.2% | 84.6% | 101.9 | FUN |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 25 | 7 | 11 | 7 | 0 | 25 | 3 | 10 | 12 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 15 | 23 | 8 | 12 | 5 | 40.0% | 12.0% | 80.0% | 92.0 | FUN |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 1 | 6 | 14 | 0 | 22 | 8 | 10 | 18 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 15 | 23 | 8 | 12 | 5 | 66.7% | 9.5% | 95.5% | 105.0 | LUCKY |
8 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 34 | 11 | 11 | 12 | 0 | 62 | 19 | 22 | 37 | 6 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 45 | 29 | 50 | 14 | 24 | 12 | 42.9% | 8.8% | 90.3% | 99.1 | Unlucky |
9 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 21 | 10 | 4 | 7 | 0 | 28 | 7 | 2 | 22 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 15 | 22 | 8 | 13 | 7 | 25.0% | 9.5% | 89.3% | 98.8 | FUN |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 6 | 7 | 8 | 4 | 27 | 5 | 8 | 25 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 25 | 17 | 26 | 8 | 13 | 6 | 33.3% | 4.3% | 92.6% | 96.9 | DULL |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 20 | 4 | 7 | 9 | 0 | 21 | 6 | 4 | 16 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 15 | 23 | 7 | 13 | 6 | 75.0% | 15.0% | 95.2% | 110.2 | LUCKY |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 28 | 17 | 5 | 6 | 0 | 24 | 8 | 6 | 18 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 15 | 26 | 7 | 11 | 5 | 60.0% | 10.7% | 91.7% | 102.4 | LUCKY |
13 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 19 | 10 | 3 | 6 | 0 | 28 | 7 | 6 | 15 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 22 | 15 | 25 | 6 | 12 | 6 | 33.3% | 5.3% | 85.7% | 91.0 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 2 | 1 | 0 | 0 | 41 | 18 | 14 | 9 | 0 | 18 | 7 | 10 | 25 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 26 | 18 | 21 | 7 | 12 | 5 | 100.0% | 7.3% | 100.0% | 107.3 | DULL |
15 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 3 | 1 | 0 | 56 | 23 | 21 | 12 | 0 | 58 | 10 | 24 | 40 | 12 | 3 | 25.00% | 8 | 3 | 62.50% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 45 | 31 | 50 | 15 | 24 | 12 | 62.5% | 14.3% | 89.7% | 103.9 | FUN |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 6 | 7 | 7 | 0 | 30 | 8 | 15 | 13 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 21 | 13 | 25 | 8 | 13 | 6 | 0.0% | 5.0% | 90.0% | 95.0 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 9 | 7 | 10 | 0 | 31 | 16 | 12 | 18 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 23 | 17 | 23 | 6 | 12 | 5 | 0.0% | 3.8% | 90.3% | 94.2 | Unlucky |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 10 | 11 | 8 | 0 | 26 | 9 | 8 | 18 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 27 | 19 | 21 | 7 | 11 | 5 | 25.0% | 3.4% | 88.5% | 91.9 | Unlucky |
19 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 6 | 10 | 9 | 0 | 33 | 6 | 12 | 30 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 21 | 14 | 26 | 7 | 11 | 5 | 0.0% | 0.0% | 81.8% | 81.8 | Unlucky |
20 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 1 | 5 | 1 | 0 | 76 | 19 | 34 | 20 | 3 | 47 | 15 | 22 | 37 | 11 | 3 | 27.27% | 10 | 1 | 90.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 53 | 36 | 45 | 15 | 25 | 13 | 44.4% | 9.2% | 87.2% | 96.4 | FUN |
21 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 56 | 22 | 16 | 18 | 0 | 51 | 14 | 33 | 40 | 14 | 2 | 14.29% | 12 | 0 | 100.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 48 | 32 | 45 | 16 | 25 | 13 | 60.0% | 8.9% | 96.1% | 105.0 | Unlucky |
22 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 31 | 9 | 5 | 17 | 0 | 18 | 4 | 8 | 16 | 6 | 2 | 33.33% | 4 | 2 | 50.00% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 27 | 19 | 17 | 7 | 14 | 7 | 0.0% | 6.5% | 77.8% | 84.2 | Unlucky |
_Vs Division | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 17 | 19 | -2 | 8 | 0.571 | 17 | 32 | 49 | 0 | 0 | 7 | 4 | 6 | 0 | 188 | 73 | 52 | 63 | 0 | 186 | 51 | 83 | 129 | 39 | 8 | 20.51% | 32 | 9 | 71.88% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 168 | 117 | 163 | 53 | 88 | 44 | 47.4% | 9.0% | 89.8% | 98.8 | FUN | |
_Vs Conference | 13 | 7 | 4 | 0 | 0 | 1 | 0 | 1 | 32 | 32 | 0 | 16 | 0.615 | 32 | 59 | 91 | 0 | 1 | 12 | 10 | 10 | 0 | 376 | 139 | 119 | 113 | 7 | 332 | 94 | 144 | 247 | 65 | 13 | 20.00% | 58 | 12 | 79.31% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 316 | 219 | 308 | 100 | 164 | 82 | 48.7% | 8.5% | 90.4% | 98.9 | Unlucky | |
_Since Last GM Reset | 28 | 13 | 9 | 0 | 1 | 3 | 1 | 1 | 72 | 78 | -6 | 34 | 0.607 | 72 | 133 | 205 | 1 | 1 | 22 | 25 | 23 | 2 | 740 | 251 | 227 | 255 | 13 | 725 | 212 | 293 | 570 | 126 | 24 | 19.05% | 123 | 27 | 78.05% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 674 | 458 | 666 | 217 | 359 | 179 | 48.5% | 9.7% | 89.2% | 99.0 | FUN | |
Total | 28 | 13 | 9 | 0 | 1 | 3 | 1 | 1 | 72 | 78 | -6 | 34 | 0.607 | 72 | 133 | 205 | 1 | 1 | 22 | 25 | 23 | 2 | 740 | 251 | 227 | 255 | 13 | 725 | 212 | 293 | 570 | 126 | 24 | 19.05% | 123 | 27 | 78.05% | 0 | 494 | 918 | 53.81% | 504 | 925 | 54.49% | 228 | 422 | 54.03% | 674 | 458 | 666 | 217 | 359 | 179 | 48.5% | 9.7% | 89.2% | 99.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 918 |
Neutral Zone Start | 422 |
Defensive Zone Start | 925 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1226 |
Faceoffs Lost | 1039 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 17.1 | 20.31 |
3rd Period | 26.2 | 30.68 |
Overtime | 26.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 47 |
---|---|
PP Goal | 24 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 7 |
Lost | 5 | 4 |
Overtime Lost | 1 | 3 |
PP Attempt | 126 |
---|---|
PP Goal | 24 |
PK Attempt | 123 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 26.4 |
Shots Against | 25.9 |
Goals For | 2.6 |
Goals Against | 2.8 |
Hits | 20.4 |
Shots Blocked | 7.6 |
Pim | 10.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Oct 13 | ![]() | @ | ![]() | SAN3,NAS4 (OT) | RECAP | |||||||||
Sat, Oct 14 | ![]() | @ | ![]() | NAS2,SAN4 | RECAP | |||||||||
Fri, Oct 20 | ![]() | @ | ![]() | CAR5,SAN3 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | CHI2,SAN1 (SO) | RECAP | |||||||||
Tue, Oct 24 | ![]() | @ | ![]() | SAN2,NYI3 (OT) | RECAP | |||||||||
Thu, Oct 26 | ![]() | @ | ![]() | SAN1,NYR2 (OT) | RECAP | |||||||||
Sat, Oct 28 | ![]() | @ | ![]() | SAN1,NJD3 | RECAP | |||||||||
Sun, Oct 29 | ![]() | @ | ![]() | SAN2,PHI1 | RECAP | |||||||||
Tue, Oct 31 | ![]() | @ | ![]() | VGK1,SAN3 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | TOR1,SAN5 | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | TAM6,SAN0 | RECAP | |||||||||
Tue, Nov 7 | ![]() | @ | ![]() | ANA2,SAN3 | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | FLO3,SAN4 | RECAP | |||||||||
Sat, Nov 11 | ![]() | @ | ![]() | ANA4,SAN5 | RECAP | |||||||||
Thu, Nov 16 | ![]() | @ | ![]() | SAN3,STL0 | RECAP | |||||||||
Fri, Nov 17 | ![]() | @ | ![]() | SAN1,DAL3 | RECAP | |||||||||
Sun, Nov 19 | ![]() | @ | ![]() | SAN3,MIN2 | RECAP | |||||||||
Tue, Nov 21 | ![]() | @ | ![]() | SAN2,VGK1 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | DET1,SAN3 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | NYR4,SAN2 | RECAP | |||||||||
Mon, Nov 27 | ![]() | @ | ![]() | OTT2,SAN3 (SO) | RECAP | |||||||||
Wed, Nov 29 | ![]() | @ | ![]() | SAN2,KRA4 | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | LAK4,SAN1 | RECAP | |||||||||
Sun, Dec 3 | ![]() | @ | ![]() | VAN3,SAN1 | RECAP | |||||||||
Tue, Dec 5 | ![]() | @ | ![]() | SAN5,MON4 | RECAP | |||||||||
Wed, Dec 6 | ![]() | @ | ![]() | SAN4,TOR3 | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | SAN5,OTT4 (OT) | RECAP | |||||||||
Sun, Dec 10 | ![]() | @ | ![]() | SAN0,BUF4 | RECAP | |||||||||
Wed, Dec 13 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 15 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 19 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 23 | ![]() | @ | ![]() | |||||||||||
Sun, Dec 24 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 26 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 28 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 2 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 4 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 6 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 7 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 12 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 13 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 16 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 17 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 19 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 22 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 24 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 27 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 28 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 30 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 2 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 3 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 13 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 15 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 18 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 20 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 22 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 24 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 26 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 29 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sat, Mar 2 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 5 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 7 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 9 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 11 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 12 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 14 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 16 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 19 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 21 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 23 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 25 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 28 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 30 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 2 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 4 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 6 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 9 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 11 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 13 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 15 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 17 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 18 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,375,143$ | 0$ | 76,375,143$ | 6,124,857$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center | |
City | San Jose | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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![]() |
![]() |
![]() |
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 100$ | 50$ | 40$ | 20$ | 200$ |
Attendance | 51371 | 52703 | 30156 | 54471 | 10269 |
Attendance PCT | 73.39% | 94.11% | 71.80% | 97.27% | 73.35% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 14212 - 83.60% | 1,290,096$ | 18,061,349$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
76,375,143$ | 76,375,143$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,202,721$ | 76,375,143$ | 21,202,721$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
34,832,602$ | 130 | 404,101$ | 52,533,130$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
54,150,850$ | 76,375,143$ | 50,087,062$ | 33,330,890$ |
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 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Artem Guryev | ![]() | 2022 | 171 | Link | |
Ben Meehan | ![]() | 2021 | 155 | Link | |
Benjamin Gaudreau | ![]() | 2022 | 35 | Link | |
Brennan Othmann | ![]() | 2022 | 25 | Link | |
Chase Clark | ![]() | 2022 | 129 | Link | |
Connor Kelley | ![]() | 2022 | 218 | Link | |
Demetrios Koumontzis | ![]() | 2019 | 118 | Link | |
Dru Krebs | ![]() | 2022 | 197 | Link | |
Hugo Gabrielson | ![]() | 2022 | 193 | Link | |
Jack Matier | ![]() | 2022 | 157 | Link | |
Jakob Ragnarsson | ![]() | 2019 | 91 | Link | |
Jaroslav Chmelar | ![]() | 2022 | 177 | Link | |
Martin Rysavy | ![]() | 2022 | 209 | Link | |
Mathew Hill | ![]() | 2020 | 212 | Link | |
Nikita Quapp | ![]() | 2022 | 203 | Link | |
Oliver Tarnstrom | ![]() | 2021 | 86 | Link | |
Tomas Machu | ![]() | 2022 | 223 | Link | |
Victor Stjernborg | ![]() | 2022 | 156 | Link | |
Viktor Hurtig | ![]() | 2022 | 189 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Artem Guryev | ![]() | 2022 | 171 | Link | |
Ben Meehan | ![]() | 2021 | 155 | Link | |
Benjamin Gaudreau | ![]() | 2022 | 35 | Link | |
Brennan Othmann | ![]() | 2022 | 25 | Link | |
Chase Clark | ![]() | 2022 | 129 | Link | |
Connor Kelley | ![]() | 2022 | 218 | Link | |
Demetrios Koumontzis | ![]() | 2019 | 118 | Link | |
Dru Krebs | ![]() | 2022 | 197 | Link | |
Hugo Gabrielson | ![]() | 2022 | 193 | Link | |
Jack Matier | ![]() | 2022 | 157 | Link | |
Jakob Ragnarsson | ![]() | 2019 | 91 | Link | |
Jaroslav Chmelar | ![]() | 2022 | 177 | Link | |
Martin Rysavy | ![]() | 2022 | 209 | Link | |
Mathew Hill | ![]() | 2020 | 212 | Link | |
Nikita Quapp | ![]() | 2022 | 203 | Link | |
Oliver Tarnstrom | ![]() | 2021 | 86 | Link | |
Tomas Machu | ![]() | 2022 | 223 | Link | |
Victor Stjernborg | ![]() | 2022 | 156 | Link | |
Viktor Hurtig | ![]() | 2022 | 189 | Link |
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