































![]() | Nashville Predators 18-11-2, 38pts · 3rd in Western Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 69 | 40 | 83 | 96 | 74 | 89 | 94 | 99 | 82 | 98 | 93 | 71 | 71 | 72 | 82 | 0 | 90 | 26 | 12,500,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 75 | 40 | 85 | 75 | 90 | 80 | 92 | 74 | 70 | 73 | 83 | 75 | 60 | 77 | 71 | 0 | 80 | 32 | 6,500,000$/5yrs | |||||
![]() | C | 100.00 | 73 | 57 | 88 | 73 | 81 | 81 | 92 | 74 | 77 | 80 | 75 | 74 | 68 | 84 | 79 | 0 | 79 | 34 | 8,000,000$/5yrs | |||||
![]() | C | 100.00 | 73 | 40 | 85 | 73 | 76 | 78 | 90 | 74 | 97 | 79 | 74 | 76 | 58 | 96 | 87 | 0 | 79 | 38 | 2,500,000$/1yrs | |||||
![]() | RW | 100.00 | 83 | 78 | 65 | 71 | 85 | 79 | 82 | 71 | 56 | 76 | 75 | 69 | 54 | 76 | 65 | 0 | 77 | 29 | 5,166,666$/2yrs | |||||
![]() | C/LW/RW | 99.00 | 73 | 65 | 84 | 75 | 74 | 76 | 86 | 68 | 78 | 77 | 68 | 78 | 54 | 65 | 59 | 0 | 75 | 26 | 4,800,000$/9yrs | |||||
![]() | LW | 100.00 | 75 | 57 | 68 | 67 | 74 | 73 | 88 | 71 | 54 | 79 | 72 | 65 | 76 | 59 | 58 | 0 | 73 | 28 | 950,000$/4yrs | |||||
![]() | RW | 100.00 | 70 | 74 | 82 | 67 | 79 | 65 | 92 | 63 | 52 | 71 | 65 | 73 | 58 | 94 | 74 | 0 | 72 | 38 | 1,000,000$/1yrs | |||||
![]() | C | 100.00 | 69 | 60 | 86 | 74 | 70 | 71 | 82 | 63 | 79 | 76 | 61 | 78 | 54 | 59 | 58 | 0 | 72 | 27 | 1,700,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 75 | 69 | 85 | 71 | 75 | 69 | 83 | 62 | 73 | 72 | 65 | 76 | 54 | 60 | 58 | 0 | 72 | 28 | 1,150,000$/2yrs | |||||
![]() | C/RW | 100.00 | 79 | 40 | 89 | 63 | 79 | 65 | 94 | 60 | 65 | 71 | 62 | 74 | 56 | 82 | 61 | 0 | 71 | 36 | 800,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 59 | 38 | 82 | 67 | 65 | 67 | 67 | 66 | 56 | 68 | 69 | 68 | 75 | 55 | 55 | 0 | 69 | 24 | 1,525,000$/2yrs | |||||
![]() | D | 100.00 | 74 | 40 | 82 | 95 | 74 | 99 | 85 | 83 | 40 | 91 | 73 | 86 | 66 | 61 | 65 | 0 | 85 | 25 | 9,000,000$/5yrs | |||||
![]() | D | 100.00 | 68 | 40 | 65 | 93 | 77 | 97 | 93 | 76 | 40 | 87 | 66 | 83 | 58 | 65 | 62 | 0 | 81 | 23 | 6,000,000$/10yrs | |||||
![]() | D | 100.00 | 77 | 65 | 82 | 77 | 80 | 83 | 87 | 62 | 40 | 75 | 59 | 87 | 54 | 70 | 66 | 0 | 76 | 30 | 4,000,000$/3yrs | |||||
![]() | D | 100.00 | 65 | 66 | 83 | 80 | 70 | 87 | 80 | 71 | 40 | 80 | 65 | 73 | 58 | 64 | 59 | 0 | 75 | 28 | 5,000,000$/2yrs | |||||
![]() | D | 100.00 | 75 | 65 | 76 | 68 | 83 | 85 | 89 | 62 | 40 | 73 | 60 | 90 | 54 | 67 | 65 | 0 | 75 | 31 | 1,450,000$/1yrs | |||||
![]() | D | 100.00 | 85 | 72 | 76 | 64 | 80 | 77 | 87 | 58 | 40 | 70 | 60 | 86 | 54 | 60 | 58 | 0 | 73 | 26 | 2,000,000$/4yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | D | 100.00 | 90 | 76 | 77 | 73 | 91 | 75 | 88 | 62 | 40 | 74 | 60 | 85 | 54 | 84 | 66 | 0 | 76 | 34 | 850,000$/1yrs | |||||
TEAM AVERAGE | 99.95 | 74 | 57 | 80 | 75 | 78 | 79 | 87 | 69 | 59 | 77 | 69 | 77 | 60 | 71 | 66 | 0 | 76 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 3 | 100.00 | 91 | 95 | 94 | 83 | 92 | 71 | 93 | 91 | 95 | 77 | 82 | 61 | 57 | 0 | 88 | 28 | 4,000,000$/2yrs | |
![]() | 0 | 100.00 | 78 | 68 | 69 | 86 | 86 | 78 | 80 | 71 | 83 | 74 | 84 | 84 | 63 | 0 | 78 | 41 | 2,200,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 82 | 82 | 85 | 89 | 75 | 87 | 81 | 89 | 76 | 83 | 73 | 60 | 0 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 89 | 87 | 84 | 83 | 94 | 92 | 1 | CAN | 64 | 1 | 1,000,000$ |
General Manager | Mickael Lajeunesse |
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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 | Cale Makar | ![]() | 8 | D | 31 | 5 | 18 | 23 | -6 | 18 | 0 | 45 | 71 | 18 | 39 | 7.04% | 49 | 26.00 | 4 | 6 | 10 | 0 | 1 | 1 | 95 | 2 | 0 | 0.00% | 0 | 0 | 0.74 | 0 | 0 | 0.62 | ||
2 | Connor McDavid | ![]() | 97 | C | 31 | 14 | 8 | 22 | 3 | 4 | 0 | 25 | 116 | 29 | 80 | 12.07% | 0 | 20.13 | 2 | 4 | 6 | 0 | 0 | 0 | 21 | 1 | 3 | 55.20% | 0 | 1 | 0.71 | 1 | 4 | 0.86 | ||
3 | Chris Kreider | ![]() | 29 | LW/RW | 31 | 7 | 13 | 20 | 3 | 24 | 0 | 50 | 51 | 19 | 47 | 13.73% | 2 | 19.31 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 52.63% | 0 | 0 | 0.65 | 1 | 1 | 0.55 | ||
4 | Rasmus Dahlin | ![]() | 17 | D | 31 | 5 | 14 | 19 | -8 | 18 | 0 | 40 | 60 | 15 | 25 | 8.33% | 30 | 24.89 | 3 | 5 | 8 | 0 | 0 | 0 | 80 | 2 | 0 | 0.00% | 0 | 0 | 0.61 | 0 | 0 | 0.44 | ||
5 | Jake McCabe | ![]() | 0 | D | 31 | 3 | 15 | 18 | 1 | 18 | 0 | 66 | 41 | 15 | 19 | 7.32% | 30 | 20.99 | 1 | 3 | 4 | 0 | 0 | 0 | 74 | 0 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.50 | ||
6 | Anthony DeAngelo | ![]() | 0 | D | 31 | 4 | 10 | 14 | 3 | 6 | 0 | 25 | 31 | 12 | 17 | 12.90% | 12 | 18.88 | 2 | 2 | 4 | 0 | 0 | 0 | 23 | 1 | 2 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.41 | ||
7 | Anthony Cirelli | ![]() | 71 | C/LW/RW | 31 | 7 | 6 | 13 | 2 | 6 | 0 | 45 | 46 | 23 | 34 | 15.22% | 9 | 21.44 | 2 | 0 | 2 | 1 | 0 | 1 | 97 | 0 | 1 | 55.56% | 0 | 0 | 0.42 | 0 | 0 | 0.47 | ||
8 | Logan Couture | ![]() | 77 | C | 31 | 6 | 4 | 10 | 5 | 2 | 0 | 14 | 63 | 18 | 51 | 9.52% | 5 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 1 | 1 | 46.97% | 1 | 0 | 0.32 | 1 | 2 | 0.45 | ||
9 | Patrice Bergeron | ![]() | 0 | C | 31 | 3 | 6 | 9 | -3 | 12 | 0 | 36 | 74 | 20 | 47 | 4.05% | 5 | 17.69 | 0 | 1 | 1 | 0 | 1 | 1 | 97 | 1 | 0 | 57.36% | 0 | 0 | 0.29 | 0 | 0 | 0.35 | ||
10 | Luke Schenn | ![]() | 15 | D | 27 | 0 | 8 | 8 | 0 | 41 | 5 | 58 | 10 | 4 | 9 | 0.00% | 30 | 15.72 | 0 | 1 | 1 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.06 | ||
11 | Tom Wilson | ![]() | 35 | RW | 31 | 4 | 3 | 7 | 5 | 22 | 0 | 66 | 62 | 17 | 42 | 6.45% | 1 | 15.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 46.88% | 0 | 0 | 0.23 | 0 | 0 | 0.32 | ||
12 | Michael Bunting | ![]() | 76 | LW | 31 | 3 | 4 | 7 | 7 | 8 | 0 | 45 | 36 | 13 | 43 | 8.33% | 2 | 16.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 44.68% | 0 | 0 | 0.23 | 2 | 4 | 0.34 | ||
13 | Corey Perry | ![]() | 11 | RW | 31 | 3 | 4 | 7 | -5 | 10 | 0 | 30 | 31 | 11 | 18 | 9.68% | 0 | 13.15 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 50.00% | 0 | 0 | 0.23 | 0 | 0 | 0.15 | ||
14 | Scott Mayfield | ![]() | 0 | D | 31 | 1 | 4 | 5 | -3 | 4 | 0 | 36 | 15 | 8 | 10 | 6.67% | 22 | 14.38 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.15 | ||
15 | Sam Lafferty | ![]() | 4 | C/LW/RW | 31 | 1 | 2 | 3 | -5 | 10 | 0 | 34 | 42 | 13 | 25 | 2.38% | 7 | 12.84 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0 | 0 | 44.83% | 0 | 0 | 0.10 | 0 | 0 | 0.11 | ||
16 | Trevor Lewis | ![]() | 23 | C/RW | 31 | 2 | 1 | 3 | -8 | 2 | 0 | 26 | 18 | 4 | 11 | 11.11% | 0 | 7.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 37.66% | 0 | 0 | 0.10 | 0 | 0 | 0.03 | ||
17 | Alexandre Texier | ![]() | 26 | C/LW/RW | 31 | 1 | 1 | 2 | -9 | 2 | 0 | 10 | 25 | 2 | 12 | 4.00% | 3 | 8.08 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 1 | 44.44% | 0 | 0 | 0.06 | 0 | 0 | 0.01 | ||
18 | Jeremy Lauzon | ![]() | 85 | D | 12 | 0 | 2 | 2 | 0 | 8 | 0 | 19 | 9 | 0 | 6 | 0.00% | 9 | 13.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | ||
19 | Jake Evans | ![]() | 46 | C | 31 | 0 | 1 | 1 | -8 | 2 | 0 | 19 | 24 | 8 | 19 | 0.00% | 3 | 10.01 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 48.28% | 0 | 0 | 0.03 | 0 | 0 | -0.02 | ||
Team Total or Average | 566 | 69 | 124 | 193 | -26 | 217 | 5 | 689 | 825 | 249 | 554 | 8.36% | 219 | 16.58 | 17 | 28 | 45 | 850 | 1 | 2 | 3 | 691 | 15 | 9 | 52.23% | 2646 | 0 | 0 | 1 | 1 | 0.41 | 5 | 11 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ilya Sorokin | ![]() | 26 | 13 | 11 | 2 | 0.915 | 2.14 | 1567 | 2 | 4 | 56 | 655 | 0 | 1 | 0 | 0.875 | 8 | 26 | 5 | 2 | 2 | 2 |
2 | Mike Smith | ![]() | 6 | 5 | 0 | 0 | 0.914 | 2.08 | 318 | 0 | 0 | 11 | 128 | 0 | 0 | 0 | 0.750 | 4 | 5 | 26 | 1 | 0 | 0 |
Team Total or Average | 32 | 18 | 11 | 2 | 0.914 | 2.13 | 1885 | 2 | 4 | 67 | 783 | 0 | 1 | 0 | 0.833 | 12 | 31 | 31 | 3 | 2 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 7 | -5 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 37 | 13 | 15 | 9 | 0 | 45 | 11 | 21 | 38 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 51 | 35 | 42 | 14 | 26 | 13 | 25.0% | 5.4% | 84.4% | 89.8 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 35 | 11 | 4 | 14 | 9 | 23 | 5 | 4 | 21 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 28 | 19 | 23 | 7 | 12 | 7 | 25.0% | 8.6% | 82.6% | 91.2 | Unlucky |
3 | ![]() | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.500 | 12 | 20 | 32 | 0 | 1 | 6 | 4 | 2 | 0 | 100 | 36 | 28 | 36 | 0 | 97 | 24 | 34 | 81 | 16 | 4 | 25.00% | 17 | 4 | 76.47% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 93 | 62 | 92 | 30 | 53 | 27 | 61.5% | 12.0% | 90.7% | 102.7 | FUN |
4 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 3 | 4 | 6 | 0 | 98 | 34 | 30 | 34 | 0 | 81 | 17 | 12 | 68 | 13 | 2 | 15.38% | 6 | 1 | 83.33% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 83 | 60 | 60 | 19 | 36 | 19 | 68.8% | 13.3% | 92.6% | 105.9 | LUCKY |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 35 | 15 | 7 | 13 | 0 | 27 | 9 | 8 | 18 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 25 | 17 | 21 | 6 | 12 | 6 | 25.0% | 2.9% | 88.9% | 91.7 | Unlucky |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 21 | 9 | 6 | 6 | 0 | 24 | 4 | 8 | 24 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 21 | 14 | 24 | 8 | 13 | 6 | 60.0% | 19.0% | 91.7% | 110.7 | LUCKY |
7 | ![]() | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 6 | 1.000 | 4 | 5 | 9 | 0 | 2 | 0 | 1 | 2 | 2 | 88 | 28 | 32 | 23 | 9 | 54 | 24 | 20 | 58 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 79 | 55 | 64 | 21 | 41 | 22 | 75.0% | 4.5% | 98.1% | 102.7 | DULL |
8 | ![]() | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 7 | 10 | -3 | 4 | 0.500 | 7 | 11 | 18 | 0 | 1 | 1 | 1 | 3 | 3 | 73 | 19 | 24 | 25 | 7 | 101 | 25 | 26 | 99 | 10 | 0 | 0.00% | 13 | 2 | 84.62% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 96 | 66 | 95 | 31 | 53 | 26 | 46.7% | 9.6% | 90.1% | 99.7 | FUN |
9 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 61 | 20 | 17 | 23 | 1 | 41 | 9 | 12 | 37 | 7 | 3 | 42.86% | 6 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 53 | 37 | 43 | 15 | 25 | 13 | 50.0% | 8.2% | 95.1% | 103.3 | DULL |
10 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 64 | 22 | 18 | 24 | 0 | 56 | 14 | 20 | 40 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 51 | 37 | 45 | 14 | 23 | 11 | 25.0% | 3.1% | 92.9% | 96.0 | DULL |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 3 | 6 | 8 | 0 | 38 | 15 | 8 | 26 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 23 | 15 | 22 | 7 | 13 | 7 | 20.0% | 5.9% | 86.8% | 92.7 | Unlucky |
12 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 0 | 1 | 30 | 4 | 10 | 14 | 2 | 22 | 5 | 6 | 23 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 24 | 17 | 23 | 6 | 12 | 6 | 75.0% | 10.0% | 90.9% | 100.9 | FUN |
13 | ![]() | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 11 | -1 | 4 | 0.500 | 10 | 17 | 27 | 0 | 0 | 3 | 2 | 4 | 1 | 102 | 38 | 21 | 39 | 6 | 123 | 35 | 22 | 80 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 92 | 62 | 98 | 30 | 54 | 26 | 47.1% | 9.8% | 91.1% | 100.9 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 25 | 3 | 14 | 8 | 0 | 30 | 8 | 8 | 29 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 22 | 15 | 24 | 7 | 12 | 6 | 50.0% | 8.0% | 96.7% | 104.7 | DULL |
15 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 19 | 7 | 7 | 4 | 1 | 21 | 3 | 0 | 18 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 25 | 18 | 22 | 7 | 13 | 6 | 66.7% | 10.5% | 95.2% | 105.8 | LUCKY |
_Vs Division | 13 | 7 | 4 | 0 | 1 | 0 | 1 | 0 | 40 | 28 | 12 | 18 | 0.692 | 40 | 68 | 108 | 0 | 1 | 14 | 11 | 13 | 2 | 361 | 128 | 96 | 132 | 7 | 342 | 85 | 80 | 266 | 43 | 11 | 25.58% | 38 | 7 | 81.58% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 322 | 223 | 294 | 95 | 170 | 86 | 58.0% | 11.1% | 91.8% | 102.9 | LUCKY | |
_Vs Conference | 25 | 10 | 9 | 0 | 3 | 0 | 3 | 0 | 60 | 49 | 11 | 32 | 0.640 | 60 | 101 | 161 | 0 | 4 | 15 | 18 | 21 | 8 | 661 | 228 | 190 | 227 | 24 | 625 | 164 | 162 | 523 | 78 | 14 | 17.95% | 73 | 10 | 86.30% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 623 | 433 | 569 | 185 | 328 | 166 | 54.1% | 9.1% | 92.2% | 101.2 | LUCKY | |
_Since Last GM Reset | 31 | 11 | 11 | 0 | 4 | 1 | 3 | 1 | 71 | 68 | 3 | 38 | 0.613 | 71 | 122 | 193 | 0 | 4 | 18 | 21 | 25 | 9 | 805 | 262 | 239 | 280 | 35 | 783 | 208 | 209 | 660 | 98 | 17 | 17.35% | 90 | 14 | 84.44% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 773 | 536 | 706 | 229 | 407 | 206 | 50.0% | 8.8% | 91.3% | 100.1 | DULL | |
Total | 31 | 11 | 11 | 0 | 4 | 1 | 3 | 1 | 71 | 68 | 3 | 38 | 0.613 | 71 | 122 | 193 | 0 | 4 | 18 | 21 | 25 | 9 | 805 | 262 | 239 | 280 | 35 | 783 | 208 | 209 | 660 | 98 | 17 | 17.35% | 90 | 14 | 84.44% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 773 | 536 | 706 | 229 | 407 | 206 | 50.0% | 8.8% | 91.3% | 100.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 998 |
Neutral Zone Start | 454 |
Defensive Zone Start | 958 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1260 |
Faceoffs Lost | 1150 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 16.2 | 20.31 |
3rd Period | 25.2 | 30.68 |
Overtime | 26.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 53 |
---|---|
PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 8 |
Lost | 4 | 7 |
Overtime Lost | 1 | 1 |
PP Attempt | 98 |
---|---|
PP Goal | 17 |
PK Attempt | 90 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 26.0 |
Shots Against | 25.3 |
Goals For | 2.3 |
Goals Against | 2.2 |
Hits | 21.3 |
Shots Blocked | 6.7 |
Pim | 6.7 |
![]() | |
Projected Total Cap Hit | 81,091,666$ |
Projected Cap Space | 6,908,334$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 28,361,912$ |
Players In Salary Cap | 21 |
Contracts | 59/50 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Texier ![]() | C/LW/RW | 24 | 1,525,000$ | 1,525,000$ | 1,525,000$ | RFA | |||||
Anthony Cirelli | C/LW/RW | 26 | 4,800,000$ | 4,800,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ |
Anthony DeAngelo ![]() | D | 28 | 5,000,000$ | 5,000,000$ | 1,675,000$ | UFA | |||||
Cale Makar ![]() | D | 25 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||
Chris Kreider ![]() | LW/RW | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Connor McDavid ![]() | C | 26 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | UFA | |||
Corey Perry ![]() | RW | 38 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Ilya Sorokin ![]() | G | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Jake Evans ![]() | C | 27 | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||||
Jake McCabe ![]() | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Jeremy Lauzon ![]() | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Logan Couture ![]() | C | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Luke Schenn ![]() | D | 34 | 850,000$ | 850,000$ | UFA | ||||||
Michael Bunting ![]() ![]() | LW | 28 | 950,000$ | 950,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Mike Smith ![]() | G | 41 | 2,200,000$ | 2,200,000$ | UFA | ||||||
Patrice Bergeron ![]() | C | 38 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Rasmus Dahlin ![]() | D | 23 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ |
Sam Lafferty ![]() | C/LW/RW | 28 | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | |||||
Scott Mayfield ![]() | D | 31 | 1,450,000$ | 1,450,000$ | UFA | ||||||
Tom Wilson ![]() | RW | 29 | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | |||||
Trevor Lewis ![]() | C/RW | 36 | 800,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Dell ![]() | G | 34 | 750,000$ | 750,000$ | UFA | ||||||
Aidan Mcdonough ![]() | LW | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Alexander Volkov ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Antonio Stranges ![]() | C/LW | 21 | 846,667$ | 846,667$ | 846,667$ | 846,667$ | RFA | ||||
Brett Seney ![]() | C/LW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Brinson Pasichnuk ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Charles-Edouard D'Astous ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Chaz Reddekopp ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Cole Guttman ![]() | C | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Darren Raddysh ![]() | D | 27 | 762,500$ | 762,500$ | 762,500$ | 975,000$ | 975,000$ | UFA | |||
David Jiricek ![]() | D | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
David Quenneville ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Dryden Mckay ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Evan Barratt ![]() | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
Grant Mismash ![]() | LW | 24 | 842,500$ | 842,500$ | RFA | ||||||
Jake McGrew ![]() | C | 24 | 773,333$ | 773,333$ | RFA | ||||||
Jakub Lauko ![]() | LW/RW | 23 | 764,167$ | 764,167$ | 787,500$ | 787,500$ | ![]() | ||||
Jimmy Huntington ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Joe Snively ![]() | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jordan Kawaguchi ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Josh Davies ![]() | C/LW | 19 | 750,000$ | 750,000$ | RFA | ||||||
Josh Filmon ![]() | C | 19 | 750,000$ | 750,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | |||
Keeghan Howdeshell ![]() | C | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Keith Kinkaid ![]() | G | 34 | 825,000$ | 825,000$ | UFA | ||||||
Matteo Gennaro ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Nikolai Knyzhov ![]() | D | 25 | 850,000$ | 850,000$ | 1,250,000$ | 1,250,000$ | ![]() | ||||
Odeen Tufto ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Oskar Olausson ![]() | RW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Pavel Dorofeyev ![]() | LW/RW | 23 | 925,000$ | 925,000$ | 825,000$ | RFA | |||||
Reilly Walsh ![]() | D | 24 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Ronan Seeley ![]() | D | 21 | 810,000$ | 810,000$ | 810,000$ | 810,000$ | RFA | ||||
Samu Tuomaala ![]() | C | 20 | 861,667$ | 861,667$ | 830,833$ | 830,833$ | 830,833$ | RFA | |||
Samuel Asselin ![]() | C | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Simon Johansson ![]() | D | 24 | 750,000$ | 855,000$ | 855,000$ | ![]() | |||||
Thomas Bordeleau ![]() | C | 21 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Tyler Tucker ![]() | D | 23 | 808,333$ | 808,333$ | 800,000$ | 800,000$ | ![]() | ||||
Tyler Tullio ![]() | RW | 21 | 823,833$ | 823,333$ | 823,333$ | 823,333$ | RFA | ||||
Zach Sawchenko ![]() | G | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 7 | -5 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 37 | 13 | 15 | 9 | 0 | 45 | 11 | 21 | 38 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 51 | 35 | 42 | 14 | 26 | 13 | 25.0% | 5.4% | 84.4% | 89.8 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 35 | 11 | 4 | 14 | 9 | 23 | 5 | 4 | 21 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 28 | 19 | 23 | 7 | 12 | 7 | 25.0% | 8.6% | 82.6% | 91.2 | Unlucky |
3 | ![]() | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.500 | 12 | 20 | 32 | 0 | 1 | 6 | 4 | 2 | 0 | 100 | 36 | 28 | 36 | 0 | 97 | 24 | 34 | 81 | 16 | 4 | 25.00% | 17 | 4 | 76.47% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 93 | 62 | 92 | 30 | 53 | 27 | 61.5% | 12.0% | 90.7% | 102.7 | FUN |
4 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 3 | 4 | 6 | 0 | 98 | 34 | 30 | 34 | 0 | 81 | 17 | 12 | 68 | 13 | 2 | 15.38% | 6 | 1 | 83.33% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 83 | 60 | 60 | 19 | 36 | 19 | 68.8% | 13.3% | 92.6% | 105.9 | LUCKY |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 35 | 15 | 7 | 13 | 0 | 27 | 9 | 8 | 18 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 25 | 17 | 21 | 6 | 12 | 6 | 25.0% | 2.9% | 88.9% | 91.7 | Unlucky |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 21 | 9 | 6 | 6 | 0 | 24 | 4 | 8 | 24 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 21 | 14 | 24 | 8 | 13 | 6 | 60.0% | 19.0% | 91.7% | 110.7 | LUCKY |
7 | ![]() | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 6 | 1.000 | 4 | 5 | 9 | 0 | 2 | 0 | 1 | 2 | 2 | 88 | 28 | 32 | 23 | 9 | 54 | 24 | 20 | 58 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 79 | 55 | 64 | 21 | 41 | 22 | 75.0% | 4.5% | 98.1% | 102.7 | DULL |
8 | ![]() | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 7 | 10 | -3 | 4 | 0.500 | 7 | 11 | 18 | 0 | 1 | 1 | 1 | 3 | 3 | 73 | 19 | 24 | 25 | 7 | 101 | 25 | 26 | 99 | 10 | 0 | 0.00% | 13 | 2 | 84.62% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 96 | 66 | 95 | 31 | 53 | 26 | 46.7% | 9.6% | 90.1% | 99.7 | FUN |
9 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 61 | 20 | 17 | 23 | 1 | 41 | 9 | 12 | 37 | 7 | 3 | 42.86% | 6 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 53 | 37 | 43 | 15 | 25 | 13 | 50.0% | 8.2% | 95.1% | 103.3 | DULL |
10 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 64 | 22 | 18 | 24 | 0 | 56 | 14 | 20 | 40 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 51 | 37 | 45 | 14 | 23 | 11 | 25.0% | 3.1% | 92.9% | 96.0 | DULL |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 3 | 6 | 8 | 0 | 38 | 15 | 8 | 26 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 23 | 15 | 22 | 7 | 13 | 7 | 20.0% | 5.9% | 86.8% | 92.7 | Unlucky |
12 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 0 | 1 | 30 | 4 | 10 | 14 | 2 | 22 | 5 | 6 | 23 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 24 | 17 | 23 | 6 | 12 | 6 | 75.0% | 10.0% | 90.9% | 100.9 | FUN |
13 | ![]() | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 11 | -1 | 4 | 0.500 | 10 | 17 | 27 | 0 | 0 | 3 | 2 | 4 | 1 | 102 | 38 | 21 | 39 | 6 | 123 | 35 | 22 | 80 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 92 | 62 | 98 | 30 | 54 | 26 | 47.1% | 9.8% | 91.1% | 100.9 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 25 | 3 | 14 | 8 | 0 | 30 | 8 | 8 | 29 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 22 | 15 | 24 | 7 | 12 | 6 | 50.0% | 8.0% | 96.7% | 104.7 | DULL |
15 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 19 | 7 | 7 | 4 | 1 | 21 | 3 | 0 | 18 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 25 | 18 | 22 | 7 | 13 | 6 | 66.7% | 10.5% | 95.2% | 105.8 | LUCKY |
_Vs Division | 13 | 7 | 4 | 0 | 1 | 0 | 1 | 0 | 40 | 28 | 12 | 18 | 0.692 | 40 | 68 | 108 | 0 | 1 | 14 | 11 | 13 | 2 | 361 | 128 | 96 | 132 | 7 | 342 | 85 | 80 | 266 | 43 | 11 | 25.58% | 38 | 7 | 81.58% | 0 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 322 | 223 | 294 | 95 | 170 | 86 | 58.0% | 11.1% | 91.8% | 102.9 | LUCKY | |
_Vs Conference | 25 | 10 | 9 | 0 | 3 | 0 | 3 | 0 | 60 | 49 | 11 | 32 | 0.640 | 60 | 101 | 161 | 0 | 4 | 15 | 18 | 21 | 8 | 661 | 228 | 190 | 227 | 24 | 625 | 164 | 162 | 523 | 78 | 14 | 17.95% | 73 | 10 | 86.30% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 623 | 433 | 569 | 185 | 328 | 166 | 54.1% | 9.1% | 92.2% | 101.2 | LUCKY | |
_Since Last GM Reset | 31 | 11 | 11 | 0 | 4 | 1 | 3 | 1 | 71 | 68 | 3 | 38 | 0.613 | 71 | 122 | 193 | 0 | 4 | 18 | 21 | 25 | 9 | 805 | 262 | 239 | 280 | 35 | 783 | 208 | 209 | 660 | 98 | 17 | 17.35% | 90 | 14 | 84.44% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 773 | 536 | 706 | 229 | 407 | 206 | 50.0% | 8.8% | 91.3% | 100.1 | DULL | |
Total | 31 | 11 | 11 | 0 | 4 | 1 | 3 | 1 | 71 | 68 | 3 | 38 | 0.613 | 71 | 122 | 193 | 0 | 4 | 18 | 21 | 25 | 9 | 805 | 262 | 239 | 280 | 35 | 783 | 208 | 209 | 660 | 98 | 17 | 17.35% | 90 | 14 | 84.44% | 1 | 508 | 998 | 50.90% | 503 | 958 | 52.51% | 249 | 454 | 54.85% | 773 | 536 | 706 | 229 | 407 | 206 | 50.0% | 8.8% | 91.3% | 100.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 998 |
Neutral Zone Start | 454 |
Defensive Zone Start | 958 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1260 |
Faceoffs Lost | 1150 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 16.2 | 20.31 |
3rd Period | 25.2 | 30.68 |
Overtime | 26.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 53 |
---|---|
PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 8 |
Lost | 4 | 7 |
Overtime Lost | 1 | 1 |
PP Attempt | 98 |
---|---|
PP Goal | 17 |
PK Attempt | 90 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 26.0 |
Shots Against | 25.3 |
Goals For | 2.3 |
Goals Against | 2.2 |
Hits | 21.3 |
Shots Blocked | 6.7 |
Pim | 6.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Oct 7 | ![]() | @ | ![]() | NAS2,CHI3 | RECAP |
Sun, Oct 8 | ![]() | @ | ![]() | NAS2,STL4 | RECAP |
Tue, Oct 10 | ![]() | @ | ![]() | STL1,NAS3 | RECAP |
Fri, Oct 13 | ![]() | @ | ![]() | SJS0,NAS1 (SO) | RECAP |
Mon, Oct 16 | ![]() | @ | ![]() | NAS2,SEA1 (OT) | RECAP |
Wed, Oct 18 | ![]() | @ | ![]() | DAL1,NAS3 | RECAP |
Fri, Oct 20 | ![]() | @ | ![]() | NAS5,MIN4 | RECAP |
Sun, Oct 22 | ![]() | @ | ![]() | MIN1,NAS4 | RECAP |
Tue, Oct 24 | ![]() | @ | ![]() | NAS5,CHI0 | RECAP |
Wed, Oct 25 | ![]() | @ | ![]() | CHI2,NAS3 | RECAP |
Sat, Oct 28 | ![]() | @ | ![]() | EDM1,NAS2 (SO) | RECAP |
Tue, Oct 31 | ![]() | @ | ![]() | NAS1,EDM0 | RECAP |
Wed, Nov 1 | ![]() | @ | ![]() | NAS2,DAL1 (OT) | RECAP |
Fri, Nov 3 | ![]() | @ | ![]() | VAN3,NAS1 | RECAP |
Mon, Nov 6 | ![]() | @ | ![]() | SJS4,NAS1 | RECAP |
Wed, Nov 8 | ![]() | @ | ![]() | STL3,NAS4 (SO) | RECAP |
Fri, Nov 10 | ![]() | @ | ![]() | NAS4,CGY2 | RECAP |
Sun, Nov 12 | ![]() | @ | ![]() | NAS1,EDM0 | RECAP |
Tue, Nov 14 | ![]() | @ | ![]() | TBL2,NAS3 (OT) | RECAP |
Wed, Nov 15 | ![]() | @ | ![]() | NAS3,MTL4 (SO) | RECAP |
Fri, Nov 17 | ![]() | @ | ![]() | NAS1,SJS3 | RECAP |
Sun, Nov 19 | ![]() | @ | ![]() | SJS3,NAS4 (OT) | RECAP |
Tue, Nov 21 | ![]() | @ | ![]() | LAK2,NAS1 | RECAP |
Thu, Nov 23 | ![]() | @ | ![]() | NAS1,LAK2 | RECAP |
Sat, Nov 25 | ![]() | @ | ![]() | NAS1,PIT5 | RECAP |
Mon, Nov 27 | ![]() | @ | ![]() | NAS2,CAR1 | RECAP |
Wed, Nov 29 | ![]() | @ | ![]() | PIT2,NAS1 (OT) | RECAP |
Fri, Dec 1 | ![]() | @ | ![]() | NAS1,TOR5 | RECAP |
Sun, Dec 3 | ![]() | @ | ![]() | MIN1,NAS4 | RECAP |
Tue, Dec 5 | ![]() | @ | ![]() | CHI4,NAS2 | RECAP |
Thu, Dec 7 | ![]() | @ | ![]() | NAS1,STL3 | RECAP |
Fri, Dec 8 | ![]() | @ | ![]() | ||
Mon, Dec 11 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Sat, Dec 16 | ![]() | @ | ![]() | ||
Sun, Dec 17 | ![]() | @ | ![]() | ||
Wed, Dec 20 | ![]() | @ | ![]() | ||
Fri, Dec 22 | ![]() | @ | ![]() | ||
Sun, Dec 24 | ![]() | @ | ![]() | ||
Tue, Dec 26 | ![]() | @ | ![]() | ||
Thu, Dec 28 | ![]() | @ | ![]() | ||
Sat, Dec 30 | ![]() | @ | ![]() | ||
Tue, Jan 2 | ![]() | @ | ![]() | ||
Wed, Jan 3 | ![]() | @ | ![]() | ||
Sat, Jan 6 | ![]() | @ | ![]() | ||
Sun, Jan 7 | ![]() | @ | ![]() | ||
Wed, Jan 10 | ![]() | @ | ![]() | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,091,666$ | 0$ | 81,091,666$ | 6,908,334$ |
Arena | Goal Horn | About us | |
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![]() | Name | Bridgestone Arena | |
City | Nashville | ||
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 | 86645 | 72033 | 29113 | 57882 | 14471 |
Attendance PCT | 96.27% | 96.04% | 97.04% | 96.47% | 96.47% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 17343 - 96.35% | 1,822,437$ | 27,336,562$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,091,666$ | 81,091,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
28,712,210$ | 81,091,666$ | 28,361,912$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
47,383,374$ | 115 | 463,795$ | 53,336,425$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,982,575$ | 81,091,666$ | 57,553,252$ | 51,092,525$ |
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 |
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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 |
---|---|---|---|---|---|
Alexander Perevalov | ![]() | 2022 | 71 | Link | |
Alexei Lipanov | ![]() | 2017 | 76 | Link | |
Bryce McConnell-Barker | ![]() | 2022 | 97 | Link | |
Carl Lindbom | ![]() | 2021 | 222 | Link | |
Colby Ambrosio | ![]() | 2020 | 118 | Link | |
Dmitri Buchelnikov | ![]() | 2022 | 52 | Link | |
Evan Vierling | ![]() | 2020 | 127 | Link | |
Jakub Vondras | ![]() | 2022 | 171 | Link | |
Jonathan Tychonick | ![]() | 2018 | 48 | Link | |
Nick Abruzzese | ![]() | 2019 | 124 | Link | |
Semyon Vyazovoi | ![]() | 2021 | 163 | Link | |
Tucker Robertson | ![]() | 2022 | 123 | Link | |
Vladimir Grudinin | ![]() | 2022 | 156 | Link | |
Yegor Spiridonov | ![]() | 2019 | 108 | Link | |
Zion Nybeck | ![]() | 2020 | 115 | 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 |
---|---|---|---|---|---|
Alexander Perevalov | ![]() | 2022 | 71 | Link | |
Alexei Lipanov | ![]() | 2017 | 76 | Link | |
Bryce McConnell-Barker | ![]() | 2022 | 97 | Link | |
Carl Lindbom | ![]() | 2021 | 222 | Link | |
Colby Ambrosio | ![]() | 2020 | 118 | Link | |
Dmitri Buchelnikov | ![]() | 2022 | 52 | Link | |
Evan Vierling | ![]() | 2020 | 127 | Link | |
Jakub Vondras | ![]() | 2022 | 171 | Link | |
Jonathan Tychonick | ![]() | 2018 | 48 | Link | |
Nick Abruzzese | ![]() | 2019 | 124 | Link | |
Semyon Vyazovoi | ![]() | 2021 | 163 | Link | |
Tucker Robertson | ![]() | 2022 | 123 | Link | |
Vladimir Grudinin | ![]() | 2022 | 156 | Link | |
Yegor Spiridonov | ![]() | 2019 | 108 | Link | |
Zion Nybeck | ![]() | 2020 | 115 | Link |
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