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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | RW | 100.00 | 65 | 40 | 94 | 79 | 71 | 78 | 73 | 72 | 52 | 73 | 84 | 63 | 79 | 57 | 58 | 0 | 76 | 22 | 880,833$/9yrs | |||||
![]() | LW/RW | 100.00 | 70 | 40 | 85 | 75 | 69 | 78 | 80 | 69 | 58 | 78 | 70 | 71 | 73 | 76 | 65 | 0 | 75 | 34 | 5,500,000$/1yrs | |||||
![]() | C | 100.00 | 65 | 65 | 79 | 73 | 77 | 78 | 77 | 68 | 95 | 77 | 69 | 69 | 73 | 88 | 98 | 0 | 75 | 35 | 10,500,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 72 | 40 | 87 | 76 | 76 | 75 | 90 | 70 | 71 | 79 | 70 | 71 | 56 | 68 | 59 | 0 | 75 | 26 | 3,500,000$/5yrs | |||||
![]() | LW/RW | 100.00 | 67 | 47 | 82 | 68 | 79 | 73 | 88 | 66 | 56 | 74 | 70 | 70 | 79 | 84 | 61 | 0 | 73 | 34 | 7,000,000$/1yrs | |||||
![]() | RW | 100.00 | 69 | 66 | 71 | 72 | 76 | 70 | 73 | 64 | 55 | 72 | 67 | 70 | 57 | 75 | 72 | 0 | 72 | 31 | 6,500,000$/5yrs | |||||
![]() | LW/RW | 100.00 | 80 | 40 | 91 | 64 | 78 | 66 | 80 | 61 | 60 | 72 | 64 | 75 | 54 | 64 | 59 | 0 | 71 | 28 | 1,350,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 75 | 40 | 88 | 68 | 72 | 63 | 87 | 64 | 53 | 73 | 66 | 72 | 54 | 67 | 59 | 0 | 71 | 28 | 1,000,000$/2yrs | |||||
![]() | C/LW | 100.00 | 73 | 58 | 81 | 68 | 73 | 69 | 79 | 63 | 66 | 74 | 64 | 70 | 54 | 57 | 58 | 0 | 70 | 22 | 894,167$/1yrs | |||||
![]() | LW/RW | 100.00 | 94 | 81 | 78 | 65 | 85 | 56 | 77 | 60 | 55 | 70 | 63 | 71 | 81 | 57 | 58 | 0 | 70 | 25 | 750,000$/2yrs | |||||
![]() | RW | 100.00 | 84 | 74 | 88 | 60 | 91 | 58 | 88 | 59 | 54 | 71 | 61 | 70 | 54 | 80 | 60 | 0 | 69 | 36 | 1,750,000$/1yrs | |||||
![]() | C | 100.00 | 77 | 66 | 78 | 61 | 75 | 62 | 75 | 60 | 66 | 67 | 63 | 69 | 54 | 59 | 58 | 0 | 68 | 27 | 825,000$/2yrs | |||||
![]() | D | 100.00 | 80 | 72 | 78 | 75 | 78 | 87 | 93 | 65 | 40 | 75 | 63 | 84 | 54 | 75 | 68 | 0 | 77 | 29 | 8,000,000$/4yrs | |||||
![]() | D | 100.00 | 73 | 40 | 84 | 72 | 83 | 84 | 92 | 63 | 40 | 74 | 62 | 86 | 54 | 63 | 59 | 0 | 75 | 28 | 3,166,667$/7yrs | |||||
![]() | D | 100.00 | 71 | 47 | 79 | 65 | 77 | 76 | 83 | 59 | 40 | 70 | 60 | 89 | 54 | 63 | 59 | 0 | 72 | 33 | 2,750,000$/3yrs | |||||
![]() | D | 100.00 | 76 | 58 | 81 | 82 | 82 | 69 | 73 | 55 | 40 | 67 | 57 | 85 | 54 | 60 | 58 | 0 | 72 | 31 | 2,250,000$/2yrs | |||||
![]() | D | 100.00 | 64 | 40 | 78 | 70 | 73 | 78 | 68 | 58 | 40 | 70 | 60 | 83 | 54 | 55 | 58 | 0 | 71 | 23 | 842,500$/1yrs | |||||
![]() | D | 100.00 | 64 | 65 | 73 | 65 | 72 | 68 | 74 | 59 | 40 | 72 | 57 | 72 | 54 | 63 | 59 | 0 | 68 | 33 | 762,500$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW | 100.00 | 61 | 38 | 81 | 60 | 64 | 66 | 79 | 59 | 50 | 67 | 57 | 69 | 51 | 73 | 57 | 0 | 65 | 35 | 2,750,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 73 | 54 | 82 | 69 | 76 | 71 | 80 | 63 | 54 | 72 | 65 | 74 | 60 | 68 | 62 | 0 | 72 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 69 | 80 | 81 | 84 | 86 | 73 | 81 | 70 | 87 | 76 | 79 | 59 | 55 | 0 | 78 | 27 | 1,000,000$/5yrs | |
![]() | 0 | 100.00 | 72 | 71 | 71 | 79 | 74 | 69 | 76 | 68 | 72 | 70 | 76 | 65 | 59 | 0 | 72 | 31 | 1,500,000$/1yrs | |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 73 | 52 | 55 | 81 | 57 | 71 | 59 | 64 | 61 | 59 | 85 | 86 | 75 | 0 | 65 | 36 | 10,500,000$/4yrs | |
TEAM AVERAGE | 100.00 | 71 | 68 | 69 | 81 | 72 | 71 | 72 | 67 | 73 | 68 | 80 | 70 | 63 | 0 | 72 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 91 | 82 | 77 | 89 | 95 | 91 | 1 | USA | 64 | 1 | 1,000,000$ |
General Manager | Mathieu Desjardins |
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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 | Jacob Trouba | ![]() | 0 | D | 29 | 4 | 14 | 18 | 7 | 34 | 0 | 70 | 33 | 8 | 28 | 12.12% | 31 | 24.79 | 2 | 2 | 4 | 0 | 0 | 0 | 92 | 0 | 1 | 0.00% | 0 | 0 | 0.62 | 0 | 0 | 0.48 | ||
2 | Cole Caufield | ![]() | 0 | RW | 29 | 10 | 8 | 18 | 3 | 4 | 0 | 14 | 71 | 19 | 44 | 14.08% | 5 | 16.69 | 3 | 4 | 7 | 0 | 0 | 0 | 16 | 1 | 0 | 37.93% | 0 | 0 | 0.62 | 0 | 3 | 0.67 | ||
3 | James Van Riemsdyk | ![]() | 0 | LW/RW | 29 | 7 | 6 | 13 | -1 | 6 | 0 | 44 | 53 | 9 | 29 | 13.21% | 8 | 22.27 | 1 | 3 | 4 | 0 | 0 | 0 | 107 | 1 | 1 | 33.33% | 0 | 0 | 0.45 | 0 | 3 | 0.47 | ||
4 | Jonathan Toews | ![]() | 0 | C | 29 | 7 | 5 | 12 | 3 | 4 | 0 | 18 | 57 | 13 | 34 | 12.28% | 3 | 17.18 | 1 | 0 | 1 | 0 | 1 | 1 | 62 | 1 | 2 | 58.62% | 0 | 0 | 0.41 | 1 | 1 | 0.50 | ||
5 | Gustav Nyquist | ![]() | 0 | LW/RW | 29 | 4 | 6 | 10 | 1 | 10 | 0 | 30 | 76 | 26 | 55 | 5.26% | 9 | 18.85 | 0 | 2 | 2 | 0 | 0 | 0 | 73 | 0 | 0 | 39.62% | 0 | 0 | 0.34 | 0 | 3 | 0.44 | ||
6 | Pavel Zacha | ![]() | 0 | C/LW/RW | 29 | 4 | 6 | 10 | -1 | 12 | 0 | 45 | 71 | 25 | 49 | 5.63% | 5 | 20.99 | 1 | 2 | 3 | 1 | 0 | 1 | 70 | 1 | 0 | 49.29% | 0 | 0 | 0.34 | 1 | 3 | 0.39 | ||
7 | Jordan Harris | ![]() | 0 | D | 29 | 2 | 8 | 10 | 1 | 16 | 0 | 19 | 27 | 7 | 19 | 7.41% | 31 | 19.76 | 0 | 3 | 3 | 0 | 0 | 0 | 27 | 0 | 1 | 0.00% | 0 | 0 | 0.34 | 0 | 0 | 0.28 | ||
8 | Danton Heinen | ![]() | 0 | LW/RW | 29 | 4 | 2 | 6 | -2 | 14 | 0 | 30 | 25 | 11 | 21 | 16.00% | 1 | 11.41 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 35.00% | 0 | 0 | 0.21 | 0 | 0 | 0.14 | ||
9 | Peyton Krebs | ![]() | 0 | C/LW | 29 | 1 | 4 | 5 | -2 | 4 | 0 | 27 | 21 | 9 | 23 | 4.76% | 2 | 9.63 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 43.70% | 0 | 0 | 0.17 | 0 | 0 | 0.15 | ||
10 | Ryan Graves | ![]() | 0 | D | 29 | 1 | 4 | 5 | -1 | 22 | 0 | 49 | 28 | 10 | 20 | 3.57% | 20 | 16.65 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.12 | ||
11 | Jan Rutta | ![]() | 0 | D | 29 | 0 | 4 | 4 | -7 | 26 | 0 | 38 | 31 | 8 | 24 | 0.00% | 36 | 20.10 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.03 | ||
12 | Tyler Motte | ![]() | 0 | LW/RW | 29 | 2 | 2 | 4 | -2 | 12 | 0 | 40 | 37 | 7 | 26 | 5.41% | 3 | 13.34 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 38.46% | 0 | 0 | 0.14 | 0 | 0 | 0.14 | ||
13 | Brendan Gallagher | ![]() | 0 | RW | 29 | 3 | 1 | 4 | -2 | 14 | 0 | 43 | 48 | 14 | 32 | 6.25% | 5 | 18.34 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 1 | 0 | 50.00% | 0 | 0 | 0.14 | 0 | 1 | 0.18 | ||
14 | Radim Simek | ![]() | 0 | D | 29 | 0 | 4 | 4 | -14 | 26 | 0 | 50 | 20 | 14 | 19 | 0.00% | 30 | 18.55 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | -0.08 | ||
15 | Michael Pezzetta | ![]() | 0 | LW/RW | 29 | 2 | 2 | 4 | -8 | 14 | 0 | 38 | 15 | 4 | 16 | 13.33% | 0 | 9.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 71.43% | 0 | 0 | 0.14 | 0 | 0 | -0.01 | ||
16 | Ryan Reaves | ![]() | 0 | RW | 29 | 2 | 1 | 3 | -7 | 4 | 0 | 19 | 25 | 4 | 19 | 8.00% | 3 | 9.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 18.75% | 0 | 0 | 0.10 | 0 | 0 | 0.06 | ||
17 | Dakota Joshua | ![]() | 0 | C | 29 | 0 | 2 | 2 | -7 | 4 | 0 | 10 | 20 | 8 | 11 | 0.00% | 0 | 9.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.09% | 0 | 0 | 0.07 | 0 | 0 | -0.02 | ||
18 | Chris Wideman | ![]() | 0 | D | 14 | 0 | 0 | 0 | -10 | 6 | 0 | 11 | 5 | 4 | 2 | 0.00% | 21 | 18.12 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.21 | ||
Team Total or Average | 507 | 53 | 79 | 132 | -49 | 232 | 0 | 595 | 663 | 200 | 471 | 7.99% | 213 | 16.35 | 9 | 16 | 25 | 605 | 1 | 1 | 2 | 728 | 10 | 7 | 48.38% | 2185 | 0 | 0 | 0 | 0 | 0.32 | 2 | 14 |
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 | Sam Montembeault | ![]() | 29 | 11 | 14 | 4 | 0.914 | 2.18 | 1680 | 0 | 3 | 61 | 710 | 0 | 1 | 0 | 0.769 | 13 | 29 | 0 | 7 | 3 | 0 |
2 | Pheonix Copley | ![]() | 3 | 0 | 0 | 0 | 0.951 | 1.54 | 78 | 0 | 0 | 2 | 41 | 0 | 0 | 0 | 0.000 | 0 | 0 | 29 | 0 | 0 | 0 |
Team Total or Average | 32 | 11 | 14 | 4 | 0.916 | 2.15 | 1759 | 0 | 3 | 63 | 751 | 0 | 1 | 0 | 0.769 | 13 | 29 | 29 | 7 | 3 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 4 | 11 | 11 | 1 | 36 | 10 | 12 | 23 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 14 | 27 | 9 | 12 | 6 | 40.0% | 7.4% | 91.7% | 99.1 | DULL |
2 | ![]() | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 6 | 0.750 | 9 | 15 | 24 | 0 | 0 | 2 | 0 | 6 | 1 | 96 | 31 | 20 | 45 | 5 | 86 | 24 | 26 | 80 | 13 | 2 | 15.38% | 12 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 102 | 70 | 90 | 29 | 52 | 26 | 53.8% | 9.4% | 93.0% | 102.4 | LUCKY |
3 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 1 | 0 | 57 | 21 | 23 | 13 | 0 | 77 | 26 | 24 | 82 | 6 | 2 | 33.33% | 12 | 2 | 83.33% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 64 | 40 | 74 | 23 | 41 | 19 | 50.0% | 12.3% | 90.9% | 103.2 | FUN |
4 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 74 | 26 | 29 | 19 | 0 | 94 | 18 | 28 | 67 | 7 | 1 | 14.29% | 14 | 2 | 85.71% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 70 | 46 | 68 | 22 | 41 | 20 | 27.3% | 5.4% | 89.4% | 94.8 | Unlucky |
5 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 53 | 18 | 10 | 25 | 0 | 57 | 17 | 14 | 40 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 49 | 34 | 47 | 14 | 26 | 12 | 40.0% | 3.8% | 93.0% | 96.8 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 20 | 3 | 9 | 8 | 0 | 18 | 3 | 6 | 21 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 21 | 13 | 23 | 8 | 14 | 6 | 40.0% | 10.0% | 77.8% | 87.8 | FUN |
7 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 24 | 4 | 8 | 11 | 5 | 25 | 5 | 8 | 21 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 24 | 17 | 26 | 8 | 13 | 6 | 0.0% | 4.2% | 92.0% | 96.2 | DULL |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 13 | 5 | 9 | 0 | 21 | 4 | 6 | 21 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 15 | 23 | 6 | 13 | 7 | 16.7% | 3.7% | 76.2% | 79.9 | Unlucky |
9 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 8 | 1.000 | 11 | 20 | 31 | 0 | 2 | 2 | 6 | 3 | 0 | 85 | 20 | 39 | 26 | 0 | 99 | 28 | 40 | 81 | 11 | 1 | 9.09% | 17 | 1 | 94.12% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 93 | 62 | 92 | 30 | 54 | 26 | 83.3% | 12.9% | 97.0% | 109.9 | LUCKY |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 8 | 10 | 8 | 0 | 31 | 12 | 4 | 12 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 14 | 23 | 6 | 14 | 7 | 66.7% | 7.7% | 96.8% | 104.5 | DULL |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 19 | 6 | 4 | 9 | 0 | 22 | 5 | 10 | 26 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 15 | 24 | 7 | 13 | 6 | 100.0% | 15.8% | 100.0% | 115.8 | LUCKY |
12 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 16 | 4 | 6 | 3 | 3 | 24 | 7 | 8 | 27 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 21 | 13 | 29 | 9 | 13 | 6 | 100.0% | 12.5% | 95.8% | 108.3 | LUCKY |
13 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 20 | 7 | 5 | 8 | 0 | 31 | 11 | 6 | 19 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 14 | 23 | 8 | 14 | 7 | 50.0% | 5.0% | 93.5% | 98.5 | DULL |
14 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | -6 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 11 | 15 | 9 | 5 | 60 | 19 | 24 | 29 | 7 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 45 | 28 | 52 | 15 | 26 | 13 | 16.7% | 2.8% | 88.3% | 91.1 | Unlucky |
15 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 40 | 12 | 12 | 16 | 0 | 48 | 25 | 18 | 39 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 41 | 26 | 53 | 15 | 25 | 12 | 16.7% | 2.5% | 85.4% | 87.9 | Unlucky |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 6 | 9 | 8 | 0 | 22 | 7 | 2 | 21 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 24 | 17 | 23 | 7 | 12 | 6 | 0.0% | 0.0% | 86.4% | 86.4 | Unlucky |
_Vs Division | 15 | 3 | 9 | 0 | 0 | 1 | 1 | 1 | 26 | 39 | -13 | 10 | 0.333 | 26 | 42 | 68 | 0 | 0 | 10 | 5 | 10 | 1 | 330 | 103 | 112 | 113 | 11 | 402 | 111 | 126 | 321 | 40 | 5 | 12.50% | 61 | 8 | 86.89% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 348 | 228 | 361 | 116 | 203 | 100 | 40.4% | 7.9% | 90.3% | 98.2 | Unlucky | |
_Vs Conference | 17 | 3 | 10 | 0 | 0 | 2 | 1 | 1 | 28 | 43 | -15 | 11 | 0.324 | 28 | 45 | 73 | 0 | 0 | 11 | 5 | 11 | 1 | 383 | 121 | 122 | 138 | 11 | 459 | 128 | 140 | 361 | 43 | 5 | 11.63% | 68 | 9 | 86.76% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 397 | 263 | 408 | 131 | 229 | 113 | 40.4% | 7.3% | 90.6% | 97.9 | Unlucky | |
_Since Last GM Reset | 29 | 9 | 14 | 0 | 1 | 2 | 1 | 2 | 49 | 65 | -16 | 26 | 0.448 | 49 | 83 | 132 | 0 | 3 | 15 | 17 | 15 | 3 | 643 | 194 | 215 | 228 | 19 | 751 | 221 | 236 | 609 | 73 | 8 | 10.96% | 111 | 13 | 88.29% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 671 | 445 | 704 | 223 | 388 | 192 | 44.1% | 7.6% | 91.3% | 99.0 | DULL | |
Total | 29 | 9 | 14 | 0 | 1 | 2 | 1 | 2 | 49 | 65 | -16 | 26 | 0.448 | 49 | 83 | 132 | 0 | 3 | 15 | 17 | 15 | 3 | 643 | 194 | 215 | 228 | 19 | 751 | 221 | 236 | 609 | 73 | 8 | 10.96% | 111 | 13 | 88.29% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 671 | 445 | 704 | 223 | 388 | 192 | 44.1% | 7.6% | 91.3% | 99.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 872 |
Neutral Zone Start | 406 |
Defensive Zone Start | 955 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1078 |
Faceoffs Lost | 1155 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.7 | 9.57 |
2nd Period | 14.1 | 20.31 |
3rd Period | 22.0 | 30.68 |
Overtime | 22.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.1 | 1.65 |
3rd Period | 1.6 | 2.67 |
Overtime | 1.7 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 7 |
Lost | 8 | 6 |
Overtime Lost | 3 | 1 |
PP Attempt | 73 |
---|---|
PP Goal | 8 |
PK Attempt | 111 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 22.2 |
Shots Against | 25.9 |
Goals For | 1.7 |
Goals Against | 2.2 |
Hits | 21.0 |
Shots Blocked | 7.6 |
Pim | 8.1 |
![]() | |
Projected Total Cap Hit | 73,971,667$ |
Projected Cap Space | 14,028,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 26,080,734$ |
Players In Salary Cap | 22 |
Contracts | 50/50 |
LTIR Players | 0 |
Panthers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brendan Gallagher ![]() | RW | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Carey Price ![]() | G | 36 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |||
Carl Hagelin ![]() | LW | 35 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Chris Wideman ![]() | D | 33 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Cole Caufield ![]() | RW | 22 | 880,833$ | 880,833$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ |
Dakota Joshua ![]() | C | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Danton Heinen ![]() | LW/RW | 28 | 1,000,000$ | 1,000,000$ | 775,000$ | UFA | |||||
Gustav Nyquist ![]() | LW/RW | 34 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Jacob Trouba ![]() | D | 29 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
James Van Riemsdyk ![]() | LW/RW | 34 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Jan Rutta ![]() | D | 33 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Jonathan Toews ![]() | C | 35 | 10,500,000$ | 10,500,000$ | UFA | ||||||
Jordan Harris ![]() | D | 23 | 842,500$ | 842,500$ | RFA | ||||||
Michael Pezzetta ![]() | LW/RW | 25 | 750,000$ | 750,000$ | 812,500$ | ![]() | |||||
Pavel Zacha ![]() | C/LW/RW | 26 | 3,500,000$ | 3,500,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||
Peyton Krebs ![]() | C/LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Pheonix Copley ![]() | G | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Radim Simek ![]() | D | 31 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Ryan Graves ![]() | D | 28 | 3,166,667$ | 3,166,667$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA |
Ryan Reaves ![]() | RW | 36 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Sam Montembeault ![]() | G | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | UFA | ||
Tyler Motte ![]() | LW/RW | 28 | 1,350,000$ | 1,350,000$ | 800,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alan Quine ![]() | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Andrew D'Agostini ![]() ![]() | G | 30 | 750,000$ | 750,000$ | UFA | ||||||
Brendan Brisson ![]() | C/LW/RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Chase De Leo ![]() | LW/RW | 28 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Clark Bishop ![]() | C | 27 | 800,000$ | 800,000$ | 775,000$ | 775,000$ | UFA | ||||
Cole Maier ![]() ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Connor Hvidston ![]() | C/LW | 19 | 750,000$ | 750,000$ | |||||||
Corson Ceulemans ![]() | D | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Danny O'Regan ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
David Goyette ![]() | C | 19 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | |||
Devon Levi ![]() | G | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Gage Alexander ![]() | G | 21 | 810,000$ | 810,000$ | 810,000$ | 810,000$ | RFA | ||||
Haydn Fleury ![]() | D | 27 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Isaak Phillips ![]() | D | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Jack Drury ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jacob Moverare ![]() | D | 25 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Jarred Tinordi ![]() | D | 31 | 900,000$ | 900,000$ | UFA | ||||||
John Hayden ![]() | C/RW | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Jonathan Aspirot ![]() ![]() | D | 24 | 768,333$ | 768,333$ | RFA | ||||||
Josh Doan ![]() | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||
Ken Appleby ![]() | G | 28 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Louie Belpedio ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Macoy Erkamps ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Martin Chromiak ![]() | RW | 21 | 820,000$ | 820,000$ | 820,000$ | 820,000$ | RFA | ||||
Martin Frk ![]() | RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Martin Kaut ![]() | RW | 24 | 863,333$ | 863,333$ | RFA | ||||||
Matthew Murray ![]() | G | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Nelson Nogier ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Nicholas Robertson ![]() | LW | 22 | 796,667$ | 796,667$ | 796,667$ | RFA | |||||
Tyler Lewington ![]() | D | 29 | 750,000$ | 750,000$ | UFA | ||||||
Ville Ottavainen ![]() | D | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA |
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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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 4 | 11 | 11 | 1 | 36 | 10 | 12 | 23 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 14 | 27 | 9 | 12 | 6 | 40.0% | 7.4% | 91.7% | 99.1 | DULL |
2 | ![]() | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 6 | 0.750 | 9 | 15 | 24 | 0 | 0 | 2 | 0 | 6 | 1 | 96 | 31 | 20 | 45 | 5 | 86 | 24 | 26 | 80 | 13 | 2 | 15.38% | 12 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 102 | 70 | 90 | 29 | 52 | 26 | 53.8% | 9.4% | 93.0% | 102.4 | LUCKY |
3 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 1 | 0 | 57 | 21 | 23 | 13 | 0 | 77 | 26 | 24 | 82 | 6 | 2 | 33.33% | 12 | 2 | 83.33% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 64 | 40 | 74 | 23 | 41 | 19 | 50.0% | 12.3% | 90.9% | 103.2 | FUN |
4 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 74 | 26 | 29 | 19 | 0 | 94 | 18 | 28 | 67 | 7 | 1 | 14.29% | 14 | 2 | 85.71% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 70 | 46 | 68 | 22 | 41 | 20 | 27.3% | 5.4% | 89.4% | 94.8 | Unlucky |
5 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 53 | 18 | 10 | 25 | 0 | 57 | 17 | 14 | 40 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 49 | 34 | 47 | 14 | 26 | 12 | 40.0% | 3.8% | 93.0% | 96.8 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 20 | 3 | 9 | 8 | 0 | 18 | 3 | 6 | 21 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 21 | 13 | 23 | 8 | 14 | 6 | 40.0% | 10.0% | 77.8% | 87.8 | FUN |
7 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 24 | 4 | 8 | 11 | 5 | 25 | 5 | 8 | 21 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 24 | 17 | 26 | 8 | 13 | 6 | 0.0% | 4.2% | 92.0% | 96.2 | DULL |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 13 | 5 | 9 | 0 | 21 | 4 | 6 | 21 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 15 | 23 | 6 | 13 | 7 | 16.7% | 3.7% | 76.2% | 79.9 | Unlucky |
9 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 8 | 1.000 | 11 | 20 | 31 | 0 | 2 | 2 | 6 | 3 | 0 | 85 | 20 | 39 | 26 | 0 | 99 | 28 | 40 | 81 | 11 | 1 | 9.09% | 17 | 1 | 94.12% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 93 | 62 | 92 | 30 | 54 | 26 | 83.3% | 12.9% | 97.0% | 109.9 | LUCKY |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 8 | 10 | 8 | 0 | 31 | 12 | 4 | 12 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 14 | 23 | 6 | 14 | 7 | 66.7% | 7.7% | 96.8% | 104.5 | DULL |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 19 | 6 | 4 | 9 | 0 | 22 | 5 | 10 | 26 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 15 | 24 | 7 | 13 | 6 | 100.0% | 15.8% | 100.0% | 115.8 | LUCKY |
12 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 16 | 4 | 6 | 3 | 3 | 24 | 7 | 8 | 27 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 21 | 13 | 29 | 9 | 13 | 6 | 100.0% | 12.5% | 95.8% | 108.3 | LUCKY |
13 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 20 | 7 | 5 | 8 | 0 | 31 | 11 | 6 | 19 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 22 | 14 | 23 | 8 | 14 | 7 | 50.0% | 5.0% | 93.5% | 98.5 | DULL |
14 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | -6 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 11 | 15 | 9 | 5 | 60 | 19 | 24 | 29 | 7 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 45 | 28 | 52 | 15 | 26 | 13 | 16.7% | 2.8% | 88.3% | 91.1 | Unlucky |
15 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 40 | 12 | 12 | 16 | 0 | 48 | 25 | 18 | 39 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 41 | 26 | 53 | 15 | 25 | 12 | 16.7% | 2.5% | 85.4% | 87.9 | Unlucky |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 6 | 9 | 8 | 0 | 22 | 7 | 2 | 21 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 24 | 17 | 23 | 7 | 12 | 6 | 0.0% | 0.0% | 86.4% | 86.4 | Unlucky |
_Vs Division | 15 | 3 | 9 | 0 | 0 | 1 | 1 | 1 | 26 | 39 | -13 | 10 | 0.333 | 26 | 42 | 68 | 0 | 0 | 10 | 5 | 10 | 1 | 330 | 103 | 112 | 113 | 11 | 402 | 111 | 126 | 321 | 40 | 5 | 12.50% | 61 | 8 | 86.89% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 348 | 228 | 361 | 116 | 203 | 100 | 40.4% | 7.9% | 90.3% | 98.2 | Unlucky | |
_Vs Conference | 17 | 3 | 10 | 0 | 0 | 2 | 1 | 1 | 28 | 43 | -15 | 11 | 0.324 | 28 | 45 | 73 | 0 | 0 | 11 | 5 | 11 | 1 | 383 | 121 | 122 | 138 | 11 | 459 | 128 | 140 | 361 | 43 | 5 | 11.63% | 68 | 9 | 86.76% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 397 | 263 | 408 | 131 | 229 | 113 | 40.4% | 7.3% | 90.6% | 97.9 | Unlucky | |
_Since Last GM Reset | 29 | 9 | 14 | 0 | 1 | 2 | 1 | 2 | 49 | 65 | -16 | 26 | 0.448 | 49 | 83 | 132 | 0 | 3 | 15 | 17 | 15 | 3 | 643 | 194 | 215 | 228 | 19 | 751 | 221 | 236 | 609 | 73 | 8 | 10.96% | 111 | 13 | 88.29% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 671 | 445 | 704 | 223 | 388 | 192 | 44.1% | 7.6% | 91.3% | 99.0 | DULL | |
Total | 29 | 9 | 14 | 0 | 1 | 2 | 1 | 2 | 49 | 65 | -16 | 26 | 0.448 | 49 | 83 | 132 | 0 | 3 | 15 | 17 | 15 | 3 | 643 | 194 | 215 | 228 | 19 | 751 | 221 | 236 | 609 | 73 | 8 | 10.96% | 111 | 13 | 88.29% | 1 | 415 | 872 | 47.59% | 470 | 955 | 49.21% | 193 | 406 | 47.54% | 671 | 445 | 704 | 223 | 388 | 192 | 44.1% | 7.6% | 91.3% | 99.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 872 |
Neutral Zone Start | 406 |
Defensive Zone Start | 955 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1078 |
Faceoffs Lost | 1155 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.7 | 9.57 |
2nd Period | 14.1 | 20.31 |
3rd Period | 22.0 | 30.68 |
Overtime | 22.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.1 | 1.65 |
3rd Period | 1.6 | 2.67 |
Overtime | 1.7 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 7 |
Lost | 8 | 6 |
Overtime Lost | 3 | 1 |
PP Attempt | 73 |
---|---|
PP Goal | 8 |
PK Attempt | 111 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 22.2 |
Shots Against | 25.9 |
Goals For | 1.7 |
Goals Against | 2.2 |
Hits | 21.0 |
Shots Blocked | 7.6 |
Pim | 8.1 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sun, Oct 8 | ![]() | @ | ![]() | OTT2,FLA4 | RECAP |
Mon, Oct 9 | ![]() | @ | ![]() | FLA2,COL1 | RECAP |
Wed, Oct 11 | ![]() | @ | ![]() | FLA2,COL0 | RECAP |
Fri, Oct 13 | ![]() | @ | ![]() | TOR2,FLA1 | RECAP |
Mon, Oct 16 | ![]() | @ | ![]() | TBL2,FLA1 (SO) | RECAP |
Wed, Oct 18 | ![]() | @ | ![]() | FLA4,COL0 | RECAP |
Fri, Oct 20 | ![]() | @ | ![]() | FLA2,BOS3 (OT) | RECAP |
Sat, Oct 21 | ![]() | @ | ![]() | DAL0,FLA3 | RECAP |
Tue, Oct 24 | ![]() | @ | ![]() | MTL4,FLA2 | RECAP |
Thu, Oct 26 | ![]() | @ | ![]() | FLA0,TBL5 | RECAP |
Sat, Oct 28 | ![]() | @ | ![]() | MIN5,FLA1 | RECAP |
Mon, Oct 30 | ![]() | @ | ![]() | FLA1,BUF3 | RECAP |
Wed, Nov 1 | ![]() | @ | ![]() | NYI3,FLA2 | RECAP |
Thu, Nov 2 | ![]() | @ | ![]() | FLA3,COL2 | RECAP |
Sat, Nov 4 | ![]() | @ | ![]() | FLA3,DET1 | RECAP |
Tue, Nov 7 | ![]() | @ | ![]() | DET1,FLA0 | RECAP |
Wed, Nov 8 | ![]() | @ | ![]() | FLA2,OTT3 | RECAP |
Fri, Nov 10 | ![]() | @ | ![]() | FLA1,BUF3 | RECAP |
Sun, Nov 12 | ![]() | @ | ![]() | VGK2,FLA1 | RECAP |
Tue, Nov 14 | ![]() | @ | ![]() | FLA0,VGK5 | RECAP |
Thu, Nov 16 | ![]() | @ | ![]() | SEA3,FLA0 | RECAP |
Sun, Nov 19 | ![]() | @ | ![]() | FLA1,OTT2 | RECAP |
Mon, Nov 20 | ![]() | @ | ![]() | CHI2,FLA1 (SO) | RECAP |
Thu, Nov 23 | ![]() | @ | ![]() | NYI1,FLA0 (OT) | RECAP |
Sat, Nov 25 | ![]() | @ | ![]() | FLA2,DET1 (SO) | RECAP |
Mon, Nov 27 | ![]() | @ | ![]() | DET3,FLA4 | RECAP |
Thu, Nov 30 | ![]() | @ | ![]() | ANA1,FLA2 (OT) | RECAP |
Mon, Dec 4 | ![]() | @ | ![]() | BUF4,FLA2 | RECAP |
Tue, Dec 5 | ![]() | @ | ![]() | FLA2,SJS1 | RECAP |
Sat, Dec 9 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
Sat, Dec 16 | ![]() | @ | ![]() | ||
Mon, Dec 18 | ![]() | @ | ![]() | ||
Thu, Dec 21 | ![]() | @ | ![]() | ||
Fri, Dec 22 | ![]() | @ | ![]() | ||
Mon, Dec 25 | ![]() | @ | ![]() | ||
Wed, Dec 27 | ![]() | @ | ![]() | ||
Fri, Dec 29 | ![]() | @ | ![]() | ||
Sun, Dec 31 | ![]() | @ | ![]() | ||
Tue, Jan 2 | ![]() | @ | ![]() | ||
Thu, Jan 4 | ![]() | @ | ![]() | ||
Fri, Jan 5 | ![]() | @ | ![]() | ||
Sun, Jan 7 | ![]() | @ | ![]() | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,971,667$ | 0$ | 73,971,667$ | 14,028,333$ |
Arena | Goal Horn | About us | |
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![]() | Name | BBT Center | |
City | Florida | ||
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 | 82948 | 70939 | 28547 | 55402 | 13734 |
Attendance PCT | 92.16% | 94.59% | 95.16% | 92.34% | 91.56% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 16771 - 93.17% | 1,756,425$ | 26,346,381$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,971,667$ | 73,971,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
26,431,003$ | 73,971,667$ | 26,080,734$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
45,667,060$ | 115 | 423,569$ | 48,710,435$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
50,664,975$ | 73,971,667$ | 41,119,989$ | 38,215,299$ |
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 |
---|---|---|---|---|---|
Andrew Cristall | ![]() | 2023 | |||
Artyom Galimov | ![]() | 2020 | |||
Brad Gardiner | ![]() | 2023 | |||
Caden Price | ![]() | 2023 | |||
Christian Kyrou | ![]() | 2022 | |||
Colby Barlow | ![]() | 2023 | |||
Connor Roulette | ![]() | 2021 | |||
Cruz Lucius | ![]() | 2022 | |||
Dmitry Zlodeyev | ![]() | 2020 | |||
Dylan Duke | ![]() | 2021 | |||
Eduard Sale | ![]() | 2023 | |||
Eetu Liukas | ![]() | 2021 | |||
Filip Cerderqvist | ![]() | 2019 | |||
Fraser Minten | ![]() | 2022 | |||
Jack Beck | ![]() | 2021 | |||
Jesper Eliasson | ![]() | 2018 | |||
Julian Lutz | ![]() | 2022 | |||
Kalle Vaisanen | ![]() | 2021 | |||
Kasper Puutio | ![]() | 2020 | |||
Koehn Ziemmer | ![]() | 2023 | |||
Kyle Kukkonen | ![]() | 2021 | |||
Landon Slaggert | ![]() | 2020 | |||
Lian Bichsel | ![]() | 2022 | |||
Matvey Petrov | ![]() | 2021 | |||
Miguel Tourigny | ![]() | 2022 | 216 | Link | |
Oskar Jellvik | ![]() | 2021 | |||
Pavel Novak | ![]() | 2020 | |||
Quentin Musty | ![]() | 2023 | |||
Riley Heidt | ![]() | 2023 | |||
Sasha Pastujov | ![]() | 2021 | |||
Sean Tschigerl | ![]() | 2021 | |||
Tanner Molendyk | ![]() | 2023 | |||
Thomas Milic | ![]() | 2023 | |||
Timur Mukhanov | ![]() | 2023 | |||
Ty Voit | ![]() | 2021 | |||
Tyler Peddle | ![]() | 2023 | |||
Vinzenz Rohrer | ![]() | 2022 | |||
Will Smith | ![]() | 2023 | |||
Yegor Sidorov | ![]() | 2023 | |||
Zack Ostapchuk | ![]() | 2021 | 39 | Link |
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 |
---|---|---|---|---|---|
Andrew Cristall | ![]() | 2023 | |||
Artyom Galimov | ![]() | 2020 | |||
Brad Gardiner | ![]() | 2023 | |||
Caden Price | ![]() | 2023 | |||
Christian Kyrou | ![]() | 2022 | |||
Colby Barlow | ![]() | 2023 | |||
Connor Roulette | ![]() | 2021 | |||
Cruz Lucius | ![]() | 2022 | |||
Dmitry Zlodeyev | ![]() | 2020 | |||
Dylan Duke | ![]() | 2021 | |||
Eduard Sale | ![]() | 2023 | |||
Eetu Liukas | ![]() | 2021 | |||
Filip Cerderqvist | ![]() | 2019 | |||
Fraser Minten | ![]() | 2022 | |||
Jack Beck | ![]() | 2021 | |||
Jesper Eliasson | ![]() | 2018 | |||
Julian Lutz | ![]() | 2022 | |||
Kalle Vaisanen | ![]() | 2021 | |||
Kasper Puutio | ![]() | 2020 | |||
Koehn Ziemmer | ![]() | 2023 | |||
Kyle Kukkonen | ![]() | 2021 | |||
Landon Slaggert | ![]() | 2020 | |||
Lian Bichsel | ![]() | 2022 | |||
Matvey Petrov | ![]() | 2021 | |||
Miguel Tourigny | ![]() | 2022 | 216 | Link | |
Oskar Jellvik | ![]() | 2021 | |||
Pavel Novak | ![]() | 2020 | |||
Quentin Musty | ![]() | 2023 | |||
Riley Heidt | ![]() | 2023 | |||
Sasha Pastujov | ![]() | 2021 | |||
Sean Tschigerl | ![]() | 2021 | |||
Tanner Molendyk | ![]() | 2023 | |||
Thomas Milic | ![]() | 2023 | |||
Timur Mukhanov | ![]() | 2023 | |||
Ty Voit | ![]() | 2021 | |||
Tyler Peddle | ![]() | 2023 | |||
Vinzenz Rohrer | ![]() | 2022 | |||
Will Smith | ![]() | 2023 | |||
Yegor Sidorov | ![]() | 2023 | |||
Zack Ostapchuk | ![]() | 2021 | 39 | Link |
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