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Full Scoreboard »» |
Nashville Predators 7-12-2, 16pts · 15th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 99.00 | 80 | 55 | 81 | 90 | 75 | 79 | 97 | 83 | 35 | 76 | 93 | 73 | 75 | 68 | 69 | 85 | 50 | 0 | 26 | 5,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 50 | 82 | 89 | 62 | 85 | 92 | 88 | 37 | 86 | 90 | 72 | 38 | 71 | 71 | 84 | 50 | 0 | 24 | 7,150,000$/6yrs | |||
![]() | 0 | LW | 100.00 | 82 | 43 | 90 | 70 | 61 | 76 | 90 | 75 | 25 | 64 | 88 | 77 | 25 | 47 | 47 | 80 | 50 | 0 | 23 | 825,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 91 | 46 | 73 | 76 | 78 | 70 | 91 | 60 | 88 | 61 | 68 | 86 | 25 | 67 | 70 | 72 | 50 | 0 | 29 | 2,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 85 | 55 | 84 | 88 | 76 | 81 | 95 | 83 | 38 | 76 | 94 | 64 | 45 | 68 | 68 | 85 | 50 | 0 | 25 | 6,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 53 | 90 | 80 | 83 | 77 | 82 | 82 | 78 | 81 | 73 | 63 | 70 | 73 | 73 | 75 | 50 | 0 | 30 | 7,142,857$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 57 | 86 | 80 | 72 | 59 | 94 | 55 | 84 | 61 | 57 | 83 | 25 | 74 | 78 | 66 | 50 | 0 | 37 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 81 | 45 | 89 | 91 | 80 | 79 | 97 | 91 | 43 | 68 | 91 | 75 | 63 | 79 | 80 | 84 | 50 | 0 | 31 | 6,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 55 | 89 | 77 | 73 | 59 | 90 | 59 | 44 | 55 | 64 | 75 | 25 | 65 | 67 | 68 | 50 | 0 | 28 | 840,630$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 59 | 41 | 90 | 86 | 68 | 81 | 90 | 83 | 94 | 87 | 76 | 76 | 53 | 66 | 69 | 79 | 50 | 0 | 23 | 2,800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 55 | 39 | 92 | 81 | 61 | 64 | 67 | 61 | 32 | 77 | 58 | 70 | 75 | 66 | 66 | 66 | 50 | 0 | 28 | 1,700,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 75 | 74 | 81 | 62 | 76 | 94 | 65 | 85 | 80 | 70 | 82 | 25 | 68 | 72 | 75 | 50 | 0 | 30 | 5,166,666$/3yrs | |||
![]() | 0 | D | 100.00 | 90 | 46 | 85 | 86 | 77 | 88 | 99 | 88 | 25 | 70 | 48 | 91 | 25 | 60 | 60 | 72 | 50 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 54 | 85 | 63 | 79 | 72 | 89 | 63 | 25 | 52 | 48 | 86 | 25 | 55 | 55 | 63 | 50 | 0 | 25 | 766,667$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 54 | 89 | 92 | 79 | 84 | 91 | 83 | 25 | 74 | 48 | 74 | 25 | 76 | 78 | 69 | 50 | 0 | 28 | 7,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 85 | 86 | 79 | 85 | 99 | 64 | 25 | 59 | 62 | 82 | 25 | 72 | 74 | 71 | 50 | 0 | 28 | 5,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 45 | 88 | 82 | 69 | 65 | 80 | 56 | 25 | 48 | 47 | 82 | 36 | 65 | 66 | 63 | 50 | 0 | 32 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 60 | 76 | 74 | 81 | 69 | 88 | 59 | 25 | 52 | 48 | 81 | 25 | 66 | 67 | 63 | 50 | 0 | 28 | 2,750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 67 | 99 | 68 | 77 | 80 | 61 | 99 | 73 | 25 | 63 | 68 | 61 | 61 | 93 | 99 | 68 | 50 | 0 | 37 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 55 | 87 | 84 | 81 | 73 | 97 | 67 | 91 | 65 | 72 | 74 | 25 | 67 | 69 | 74 | 50 | 0 | 27 | 3,150,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 99 | 99 | 44 | 67 | 82 | 59 | 65 | 58 | 33 | 62 | 57 | 74 | 25 | 58 | 58 | 64 | 50 | 0 | 28 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 85 | 76 | 77 | 61 | 55 | 58 | 25 | 42 | 47 | 76 | 75 | 64 | 64 | 59 | 50 | 0 | 26 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 78 | 32 | 74 | 78 | 50 | 53 | 51 | 57 | 45 | 45 | 78 | 37 | 69 | 70 | 52 | 50 | 0 | 33 | 900,000$/1yrs | |||
TEAM AVERAGE | 99.91 | 78 | 56 | 80 | 80 | 74 | 72 | 87 | 70 | 46 | 65 | 66 | 76 | 40 | 68 | 69 | 71 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 76 | 57 | 58 | 71 | 81 | 70 | 91 | 73 | 80 | 75 | 60 | 64 | 65 | 75 | 50 | 0 | 33 | 2,000,000$/1yrs |
![]() | 0 | 100.00 | 60 | 51 | 51 | 65 | 65 | 54 | 80 | 61 | 65 | 60 | 78 | 48 | 48 | 62 | 50 | 0 | 27 | 1,800,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 68 | 54 | 55 | 68 | 73 | 62 | 86 | 67 | 73 | 68 | 69 | 56 | 57 | 69 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 75 | 65 | 83 | 73 | 65 | 51 | 53 | 59 | 65 | 53 | 66 | 63 | 42 | 49 | 49 | 52 | 57 | 0 | 29 | 975,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 79 | 81 | 68 | 79 | 68 | 72 | 58 | 73 | 61 | 46 | 71 | 44 | 65 | 66 | 59 | 57 | 0 | 33 | 762,500$/2yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 90 | 63 | 70 | 55 | 84 | 59 | 59 | 62 | 60 | 60 | 25 | 46 | 46 | 63 | 57 | 0 | 22 | 880,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 45 | 95 | 63 | 72 | 53 | 85 | 54 | 25 | 50 | 57 | 64 | 25 | 45 | 45 | 61 | 57 | 0 | 24 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 57 | 85 | 85 | 68 | 65 | 93 | 58 | 64 | 70 | 59 | 75 | 75 | 68 | 71 | 68 | 57 | 0 | 24 | 2,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 60 | 83 | 63 | 60 | 79 | 84 | 62 | 78 | 58 | 62 | 60 | 59 | 44 | 44 | 64 | 57 | 0 | 24 | 762,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 67 | 86 | 66 | 67 | 77 | 81 | 63 | 50 | 62 | 60 | 63 | 57 | 44 | 44 | 65 | 57 | 0 | 22 | 834,167$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 78 | 43 | 89 | 80 | 65 | 57 | 69 | 59 | 55 | 58 | 58 | 73 | 25 | 55 | 55 | 65 | 57 | 0 | 23 | 762,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 41 | 99 | 66 | 69 | 65 | 88 | 68 | 44 | 72 | 70 | 65 | 75 | 47 | 47 | 71 | 57 | 0 | 22 | 880,833$/1yrs | |||
![]() | 0 | C | 100.00 | 90 | 92 | 73 | 71 | 72 | 62 | 67 | 63 | 72 | 60 | 60 | 64 | 25 | 54 | 54 | 65 | 57 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 44 | 91 | 73 | 85 | 57 | 63 | 62 | 60 | 61 | 58 | 58 | 75 | 56 | 56 | 62 | 57 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 97 | 57 | 86 | 78 | 75 | 80 | 90 | 59 | 25 | 51 | 50 | 86 | 25 | 60 | 61 | 66 | 57 | 0 | 22 | 791,667$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 93 | 80 | 76 | 75 | 65 | 68 | 60 | 25 | 51 | 47 | 74 | 25 | 60 | 60 | 61 | 57 | 0 | 24 | 1,350,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 91 | 78 | 70 | 68 | 73 | 66 | 25 | 54 | 47 | 63 | 25 | 60 | 60 | 59 | 57 | 0 | 27 | 750,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 61 | 52 | 55 | 80 | 66 | 56 | 74 | 62 | 65 | 61 | 79 | 73 | 75 | 63 | 57 | 0 | 37 | 900,000$/1yrs | ||||||
![]() | 0 | 100.00 | 49 | 50 | 63 | 65 | 49 | 51 | 50 | 55 | 51 | 51 | 30 | 44 | 44 | 51 | 57 | 0 | 21 | 758,333$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Andrew Beer |
---|
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Robert Thomas | 0 | C/RW | 21 | 10 | 14 | 24 | -7 | 4 | 0 | 21 | 64 | 13 | 43 | 15.63% | 14 | 21.27 | 5 | 7 | 12 | 70 | 0 | 0 | 0 | 13 | 0 | 0 | 56.97% | 588 | 9 | 7 | 0 | 1 | 1.07 | 0 | 1 | ||
2 | Clayton Keller | 0 | LW/RW | 21 | 8 | 14 | 22 | -6 | 10 | 0 | 26 | 82 | 29 | 55 | 9.76% | 11 | 20.47 | 3 | 7 | 10 | 71 | 0 | 0 | 0 | 0 | 0 | 0 | 23.08% | 26 | 15 | 7 | 0 | 0 | 1.02 | 0 | 1 | ||
3 | Timo Meier | 0 | LW/RW | 21 | 4 | 12 | 16 | -2 | 11 | 5 | 30 | 77 | 22 | 36 | 5.19% | 13 | 17.04 | 2 | 5 | 7 | 56 | 0 | 0 | 0 | 1 | 1 | 0 | 41.18% | 17 | 15 | 7 | 0 | 0 | 0.89 | 0 | 2 | ||
4 | Chris Kreider | 0 | LW | 21 | 8 | 7 | 15 | -3 | 9 | 5 | 27 | 71 | 20 | 45 | 11.27% | 3 | 17.05 | 1 | 4 | 5 | 57 | 0 | 0 | 0 | 0 | 2 | 0 | 29.41% | 17 | 30 | 7 | 0 | 0 | 0.84 | 0 | 2 | ||
5 | Yanni Gourde | 0 | C/LW/RW | 21 | 8 | 5 | 13 | -1 | 15 | 5 | 30 | 28 | 6 | 15 | 28.57% | 9 | 17.67 | 4 | 1 | 5 | 56 | 0 | 0 | 0 | 13 | 2 | 2 | 52.96% | 253 | 2 | 4 | 1 | 1 | 0.70 | 0 | 0 | ||
6 | Adrian Kempe | 0 | LW/RW | 21 | 6 | 6 | 12 | -8 | 11 | 5 | 48 | 75 | 24 | 34 | 8.00% | 4 | 21.27 | 4 | 3 | 7 | 70 | 0 | 0 | 0 | 10 | 0 | 0 | 37.93% | 29 | 25 | 8 | 0 | 0 | 0.54 | 0 | 2 | ||
7 | Moritz Seider | 0 | D | 21 | 1 | 10 | 11 | -10 | 14 | 0 | 47 | 36 | 15 | 15 | 2.78% | 35 | 26.78 | 0 | 3 | 3 | 81 | 0 | 0 | 0 | 34 | 0 | 1 | 0.00% | 0 | 9 | 15 | 0 | 0 | 0.39 | 0 | 1 | ||
8 | Kevin Hayes | 0 | C | 21 | 5 | 2 | 7 | -1 | 2 | 0 | 12 | 36 | 12 | 12 | 13.89% | 5 | 10.17 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 1 | 1 | 53.09% | 81 | 8 | 2 | 0 | 0 | 0.66 | 1 | 1 | ||
9 | Morgan Rielly | 0 | D | 21 | 2 | 4 | 6 | -11 | 0 | 0 | 32 | 39 | 13 | 15 | 5.13% | 35 | 25.16 | 2 | 2 | 4 | 81 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 5 | 14 | 0 | 0 | 0.23 | 0 | 0 | ||
10 | Pierre-edouard Bellemare | 0 | C/LW | 21 | 2 | 3 | 5 | -5 | 6 | 0 | 14 | 20 | 10 | 13 | 10.00% | 6 | 10.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 66.67% | 3 | 5 | 2 | 0 | 0 | 0.46 | 0 | 0 | ||
11 | Brady Skjei | 0 | D | 21 | 0 | 4 | 4 | -1 | 5 | 5 | 22 | 30 | 5 | 14 | 0.00% | 23 | 20.39 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 5 | 15 | 0 | 0 | 0.19 | 0 | 0 | ||
12 | Chad Ruhwedel | 0 | D | 21 | 0 | 4 | 4 | -4 | 4 | 0 | 24 | 6 | 3 | 5 | 0.00% | 11 | 14.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 1 | 12 | 0 | 0 | 0.27 | 0 | 1 | ||
13 | Rafael Harvey-Pinard | 0 | LW | 21 | 1 | 2 | 3 | -1 | 0 | 0 | 18 | 25 | 14 | 15 | 4.00% | 7 | 11.73 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 37 | 0 | 0 | 38.46% | 13 | 5 | 2 | 0 | 0 | 0.24 | 1 | 1 | ||
14 | Sean Kuraly | 0 | C/LW | 21 | 2 | 1 | 3 | -5 | 6 | 0 | 27 | 26 | 8 | 24 | 7.69% | 9 | 11.56 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 1 | 0 | 54.27% | 164 | 7 | 6 | 0 | 0 | 0.25 | 0 | 0 | ||
15 | Zach Aston-Reese | 0 | LW/RW | 20 | 2 | 1 | 3 | -2 | 2 | 0 | 13 | 22 | 9 | 11 | 9.09% | 7 | 9.29 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 6 | 3 | 0 | 0 | 0.32 | 0 | 0 | ||
16 | Vinnie Hinostroza | 0 | LW/RW | 20 | 0 | 2 | 2 | -2 | 0 | 0 | 11 | 10 | 7 | 9 | 0.00% | 7 | 9.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 4 | 8 | 0 | 0 | 0.20 | 1 | 1 | ||
17 | Carson Soucy | 0 | D | 21 | 1 | 1 | 2 | -1 | 8 | 0 | 34 | 17 | 9 | 4 | 5.88% | 25 | 18.99 | 1 | 0 | 1 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 4 | 14 | 0 | 0 | 0.10 | 0 | 0 | ||
18 | Johnathan Kovacevic | 0 | D | 21 | 0 | 1 | 1 | -3 | 7 | 5 | 20 | 8 | 5 | 4 | 0.00% | 21 | 14.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 1 | 10 | 0 | 0 | 0.06 | 0 | 1 | ||
19 | Corey Perry | 0 | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 0 | 8.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Nicholas Paul | 0 | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 11.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 378 | 60 | 93 | 153 | -75 | 114 | 30 | 457 | 672 | 225 | 371 | 8.93% | 245 | 16.57 | 22 | 32 | 54 | 666 | 0 | 0 | 0 | 259 | 7 | 4 | 53.23% | 1208 | 158 | 143 | 1 | 2 | 0.49 | 3 | 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 | Antti Raanta | 19 | 6 | 11 | 2 | 0.910 | 3.04 | 1027 | 0 | 0 | 52 | 579 | 317 | 3 | 1 | 0.643 | 14 | 18 | 3 | 2 | 2 | 1 | |
2 | Eric Comrie | 7 | 1 | 1 | 0 | 0.915 | 2.50 | 240 | 0 | 0 | 10 | 117 | 79 | 0 | 0 | 0.000 | 0 | 3 | 18 | 0 | 1 | 0 | |
Team Total or Average | 26 | 7 | 12 | 2 | 0.911 | 2.94 | 1267 | 0 | 0 | 62 | 696 | 396 | 3 | 1 | 0.643 | 14 | 21 | 21 | 2 | 3 | 1 |
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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 2 | 0 | 0 | 33 | 12 | 11 | 10 | 0 | 31 | 5 | 6 | 23 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 22 | 13 | 22 | 8 | 14 | 8 | 33.3% | 9.1% | 83.9% | 93.0 | FUN | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 4 | 0 | 1 | 0 | 29 | 15 | 2 | 12 | 0 | 38 | 10 | 0 | 15 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 21 | 13 | 20 | 8 | 17 | 9 | 66.7% | 17.2% | 94.7% | 112.0 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 32 | 9 | 4 | 19 | 0 | 29 | 6 | 4 | 26 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 19 | 10 | 22 | 9 | 18 | 8 | 75.0% | 12.5% | 96.6% | 109.1 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 13 | 6 | 7 | 0 | 28 | 10 | 2 | 16 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 20 | 11 | 21 | 9 | 17 | 8 | 33.3% | 7.7% | 85.7% | 93.4 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 9 | 10 | 8 | 0 | 33 | 7 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 21 | 12 | 21 | 9 | 17 | 8 | 16.7% | 7.4% | 84.8% | 92.3 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 13 | 9 | 8 | 0 | 34 | 10 | 8 | 26 | 1 | 1 | 100.00% | 4 | 3 | 25.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 22 | 13 | 20 | 8 | 17 | 8 | 50.0% | 6.7% | 88.2% | 94.9 | Unlucky | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 2 | 0.500 | 11 | 16 | 27 | 0 | 0 | 4 | 3 | 4 | 0 | 75 | 22 | 29 | 24 | 0 | 73 | 30 | 11 | 41 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 43 | 26 | 43 | 17 | 33 | 17 | 64.3% | 14.7% | 91.8% | 106.4 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 42 | 11 | 17 | 14 | 0 | 31 | 18 | 4 | 16 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 22 | 14 | 22 | 8 | 15 | 7 | 80.0% | 9.5% | 93.5% | 103.1 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 29 | 13 | 9 | 7 | 0 | 30 | 12 | 4 | 16 | 6 | 3 | 50.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 20 | 11 | 22 | 9 | 17 | 8 | 0.0% | 10.3% | 96.7% | 107.0 | LUCKY | |
10 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 67 | 30 | 19 | 18 | 3 | 65 | 26 | 10 | 43 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 46 | 27 | 42 | 17 | 35 | 17 | 28.6% | 4.5% | 90.8% | 95.2 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 2 | 0 | 1 | 0 | 72 | 21 | 27 | 24 | 0 | 59 | 21 | 19 | 59 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 47 | 27 | 35 | 17 | 37 | 19 | 12.5% | 4.2% | 88.1% | 92.3 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 13 | 8 | 8 | 0 | 25 | 5 | 7 | 26 | 9 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 25 | 13 | 15 | 9 | 18 | 11 | 25.0% | 3.4% | 88.0% | 91.4 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 12 | 8 | 15 | 0 | 38 | 6 | 4 | 13 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 20 | 13 | 23 | 8 | 15 | 7 | 25.0% | 5.7% | 92.1% | 97.8 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 28 | 12 | 7 | 9 | 0 | 29 | 12 | 8 | 23 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 21 | 12 | 20 | 9 | 17 | 8 | 66.7% | 14.3% | 96.6% | 110.8 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 1 | 3 | 3 | 0 | 62 | 15 | 24 | 23 | 0 | 77 | 37 | 13 | 51 | 7 | 3 | 42.86% | 4 | 2 | 50.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 43 | 26 | 44 | 15 | 31 | 16 | 40.0% | 11.3% | 89.6% | 100.9 | FUN | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 3 | 56 | 8 | 21 | 27 | 11 | 77 | 30 | 10 | 42 | 7 | 3 | 42.86% | 5 | 1 | 80.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 42 | 24 | 47 | 19 | 35 | 17 | 14.3% | 7.1% | 90.9% | 98.1 | Unlucky | |
_Vs Division | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 15 | 16 | -1 | 5 | 0.417 | 15 | 26 | 41 | 0 | 0 | 7 | 2 | 6 | 0 | 183 | 77 | 45 | 61 | 3 | 185 | 64 | 32 | 134 | 20 | 5 | 25.00% | 16 | 4 | 75.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 130 | 74 | 128 | 54 | 105 | 52 | 45.5% | 8.2% | 91.4% | 99.5 | DULL | |
_Vs Conference | 16 | 5 | 9 | 0 | 0 | 0 | 0 | 2 | 46 | 49 | -3 | 12 | 0.375 | 46 | 70 | 116 | 0 | 0 | 19 | 9 | 18 | 3 | 506 | 171 | 156 | 179 | 14 | 534 | 197 | 92 | 368 | 63 | 16 | 25.40% | 31 | 8 | 74.19% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 354 | 206 | 335 | 142 | 280 | 144 | 42.3% | 9.1% | 90.8% | 99.9 | FUN | |
_Since Last GM Reset | 21 | 7 | 12 | 0 | 0 | 0 | 0 | 2 | 60 | 65 | -5 | 16 | 0.381 | 60 | 93 | 153 | 1 | 0 | 23 | 16 | 21 | 3 | 672 | 228 | 211 | 233 | 14 | 697 | 245 | 114 | 457 | 83 | 22 | 26.51% | 42 | 10 | 76.19% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 461 | 270 | 446 | 186 | 362 | 184 | 40.9% | 8.9% | 90.7% | 99.6 | Unlucky | |
Total | 21 | 7 | 12 | 0 | 0 | 0 | 0 | 2 | 60 | 65 | -5 | 16 | 0.381 | 60 | 93 | 153 | 1 | 0 | 23 | 16 | 21 | 3 | 672 | 228 | 211 | 233 | 14 | 697 | 245 | 114 | 457 | 83 | 22 | 26.51% | 42 | 10 | 76.19% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 461 | 270 | 446 | 186 | 362 | 184 | 40.9% | 8.9% | 90.7% | 99.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 468 |
Neutral Zone Start | 305 |
Defensive Zone Start | 431 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 643 |
Faceoffs Lost | 561 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 37 |
---|---|
PP Goal | 22 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 1 |
Lost | 6 | 6 |
Overtime Lost | 0 | 2 |
PP Attempt | 83 |
---|---|
PP Goal | 22 |
PK Attempt | 42 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 33.2 |
Goals For | 2.9 |
Goals Against | 3.1 |
Hits | 21.8 |
Shots Blocked | 11.7 |
Pim | 5.4 |
Projected Total Cap Hit | 75,442,653$ |
Projected Cap Space | 7,057,347$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 19,646,500$ |
Players In Salary Cap | 25 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe ![]() | LW/RW | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||
Antti Raanta ![]() | G | 33 | 2,000,000$ | 2,000,000$ | |||||||
Brady Skjei ![]() | D | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Carson Soucy ![]() | D | 28 | 2,750,000$ | 2,750,000$ | |||||||
Chad Ruhwedel ![]() | D | 32 | 800,000$ | 800,000$ | 800,000$ | ||||||
Chris Kreider ![]() | LW | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||
Clayton Keller ![]() | LW/RW | 24 | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | ||
Corey Perry ![]() | RW | 37 | 1,000,000$ | 1,000,000$ | |||||||
Eric Comrie ![]() | G | 27 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Haydn Fleury ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ | ||||||
Johnathan Kovacevic ![]() | D | 25 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | |||||
Kevin Hayes ![]() | C | 30 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | ||||
Liam O'Brien ![]() | LW | 28 | 775,000$ | 775,000$ | 775,000$ | ||||||
Mark Borowiecki ![]() | D | 33 | 900,000$ | 900,000$ | |||||||
Morgan Rielly ![]() | D | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ |
Moritz Seider ![]() | D | 21 | 863,333$ | 863,333$ | 863,333$ | ||||||
Nicholas Paul ![]() | C/LW | 27 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | |
Pierre-edouard Bellemare ![]() | C/LW | 37 | 1,000,000$ | 1,000,000$ | |||||||
Rafael Harvey-Pinard ![]() | LW | 23 | 825,000$ | 825,000$ | |||||||
Robert Thomas ![]() | C/RW | 23 | 2,800,000$ | 2,800,000$ | |||||||
Sean Kuraly ![]() | C/LW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Timo Meier ![]() | LW/RW | 25 | 6,000,000$ | 6,000,000$ | |||||||
Vinnie Hinostroza ![]() | LW/RW | 28 | 1,700,000$ | 1,700,000$ | |||||||
Yanni Gourde ![]() | C/LW/RW | 30 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | |||||
Zach Aston-Reese ![]() | LW/RW | 28 | 840,630$ | 840,630$ |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 2 | 0 | 0 | 33 | 12 | 11 | 10 | 0 | 31 | 5 | 6 | 23 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 22 | 13 | 22 | 8 | 14 | 8 | 33.3% | 9.1% | 83.9% | 93.0 | FUN | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 4 | 0 | 1 | 0 | 29 | 15 | 2 | 12 | 0 | 38 | 10 | 0 | 15 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 21 | 13 | 20 | 8 | 17 | 9 | 66.7% | 17.2% | 94.7% | 112.0 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 32 | 9 | 4 | 19 | 0 | 29 | 6 | 4 | 26 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 19 | 10 | 22 | 9 | 18 | 8 | 75.0% | 12.5% | 96.6% | 109.1 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 13 | 6 | 7 | 0 | 28 | 10 | 2 | 16 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 20 | 11 | 21 | 9 | 17 | 8 | 33.3% | 7.7% | 85.7% | 93.4 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 9 | 10 | 8 | 0 | 33 | 7 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 21 | 12 | 21 | 9 | 17 | 8 | 16.7% | 7.4% | 84.8% | 92.3 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 13 | 9 | 8 | 0 | 34 | 10 | 8 | 26 | 1 | 1 | 100.00% | 4 | 3 | 25.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 22 | 13 | 20 | 8 | 17 | 8 | 50.0% | 6.7% | 88.2% | 94.9 | Unlucky | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 2 | 0.500 | 11 | 16 | 27 | 0 | 0 | 4 | 3 | 4 | 0 | 75 | 22 | 29 | 24 | 0 | 73 | 30 | 11 | 41 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 43 | 26 | 43 | 17 | 33 | 17 | 64.3% | 14.7% | 91.8% | 106.4 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 42 | 11 | 17 | 14 | 0 | 31 | 18 | 4 | 16 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 22 | 14 | 22 | 8 | 15 | 7 | 80.0% | 9.5% | 93.5% | 103.1 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 29 | 13 | 9 | 7 | 0 | 30 | 12 | 4 | 16 | 6 | 3 | 50.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 20 | 11 | 22 | 9 | 17 | 8 | 0.0% | 10.3% | 96.7% | 107.0 | LUCKY | |
10 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 67 | 30 | 19 | 18 | 3 | 65 | 26 | 10 | 43 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 46 | 27 | 42 | 17 | 35 | 17 | 28.6% | 4.5% | 90.8% | 95.2 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 2 | 0 | 1 | 0 | 72 | 21 | 27 | 24 | 0 | 59 | 21 | 19 | 59 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 47 | 27 | 35 | 17 | 37 | 19 | 12.5% | 4.2% | 88.1% | 92.3 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 13 | 8 | 8 | 0 | 25 | 5 | 7 | 26 | 9 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 25 | 13 | 15 | 9 | 18 | 11 | 25.0% | 3.4% | 88.0% | 91.4 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 12 | 8 | 15 | 0 | 38 | 6 | 4 | 13 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 20 | 13 | 23 | 8 | 15 | 7 | 25.0% | 5.7% | 92.1% | 97.8 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 28 | 12 | 7 | 9 | 0 | 29 | 12 | 8 | 23 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 21 | 12 | 20 | 9 | 17 | 8 | 66.7% | 14.3% | 96.6% | 110.8 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 1 | 3 | 3 | 0 | 62 | 15 | 24 | 23 | 0 | 77 | 37 | 13 | 51 | 7 | 3 | 42.86% | 4 | 2 | 50.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 43 | 26 | 44 | 15 | 31 | 16 | 40.0% | 11.3% | 89.6% | 100.9 | FUN | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 3 | 56 | 8 | 21 | 27 | 11 | 77 | 30 | 10 | 42 | 7 | 3 | 42.86% | 5 | 1 | 80.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 42 | 24 | 47 | 19 | 35 | 17 | 14.3% | 7.1% | 90.9% | 98.1 | Unlucky | |
_Vs Division | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 15 | 16 | -1 | 5 | 0.417 | 15 | 26 | 41 | 0 | 0 | 7 | 2 | 6 | 0 | 183 | 77 | 45 | 61 | 3 | 185 | 64 | 32 | 134 | 20 | 5 | 25.00% | 16 | 4 | 75.00% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 130 | 74 | 128 | 54 | 105 | 52 | 45.5% | 8.2% | 91.4% | 99.5 | DULL | |
_Vs Conference | 16 | 5 | 9 | 0 | 0 | 0 | 0 | 2 | 46 | 49 | -3 | 12 | 0.375 | 46 | 70 | 116 | 0 | 0 | 19 | 9 | 18 | 3 | 506 | 171 | 156 | 179 | 14 | 534 | 197 | 92 | 368 | 63 | 16 | 25.40% | 31 | 8 | 74.19% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 354 | 206 | 335 | 142 | 280 | 144 | 42.3% | 9.1% | 90.8% | 99.9 | FUN | |
_Since Last GM Reset | 21 | 7 | 12 | 0 | 0 | 0 | 0 | 2 | 60 | 65 | -5 | 16 | 0.381 | 60 | 93 | 153 | 1 | 0 | 23 | 16 | 21 | 3 | 672 | 228 | 211 | 233 | 14 | 697 | 245 | 114 | 457 | 83 | 22 | 26.51% | 42 | 10 | 76.19% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 461 | 270 | 446 | 186 | 362 | 184 | 40.9% | 8.9% | 90.7% | 99.6 | Unlucky | |
Total | 21 | 7 | 12 | 0 | 0 | 0 | 0 | 2 | 60 | 65 | -5 | 16 | 0.381 | 60 | 93 | 153 | 1 | 0 | 23 | 16 | 21 | 3 | 672 | 228 | 211 | 233 | 14 | 697 | 245 | 114 | 457 | 83 | 22 | 26.51% | 42 | 10 | 76.19% | 0 | 256 | 468 | 54.70% | 216 | 431 | 50.12% | 171 | 305 | 56.07% | 461 | 270 | 446 | 186 | 362 | 184 | 40.9% | 8.9% | 90.7% | 99.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 468 |
Neutral Zone Start | 305 |
Defensive Zone Start | 431 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 643 |
Faceoffs Lost | 561 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 37 |
---|---|
PP Goal | 22 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 1 |
Lost | 6 | 6 |
Overtime Lost | 0 | 2 |
PP Attempt | 83 |
---|---|
PP Goal | 22 |
PK Attempt | 42 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 33.2 |
Goals For | 2.9 |
Goals Against | 3.1 |
Hits | 21.8 |
Shots Blocked | 11.7 |
Pim | 5.4 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,442,653$ | 0$ | 75,442,653$ | 7,057,347$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 120$ | 80$ | 50$ | 35$ | 300$ |
Attendance | 46932 | 36792 | 13346 | 27127 | 6505 |
Attendance PCT | 65.18% | 61.32% | 55.61% | 56.51% | 54.21% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 10892 - 60.51% | 516,097$ | 6,193,158$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,442,653$ | 75,442,653$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
19,646,500$ | 75,442,653$ | 19,646,500$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
14,966,798$ | 142 | 392,930$ | 55,796,060$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
64,879,559$ | 75,442,653$ | -541,643,440$ | -591,556,201$ |
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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 |
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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 |
---|---|---|---|---|---|
1 ballo nas 2023 | |||||
1 ballo sj 2023 | |||||
1 ballo tor 2023 | |||||
Alex Jefferies | 2020 | 128 | |||
Alexey Marchenko | |||||
Amir Miftakhov | 2020 | 190 | |||
Andre Gasseau | 2021 | 208 | |||
Andreas Soderberg | |||||
Andrei Loshko | 2023 | 116 | |||
Andrei Mironov | |||||
Avery Peterson | |||||
Ben King | 2022 | 81 | |||
Blake Speers | Link | ||||
Brett Hyland | 2023 | 180 | |||
Carson McMillan | |||||
Chase Clark | 2021 | 176 | |||
Christopher Paquette | 2016 | 160 | |||
Clark Bishop | Link | ||||
Colten Ellis | 2019 | 70 | |||
Corey Tropp | |||||
Curtis Hall | 2018 | 127 | |||
Danila Klimovich | 2021 | 48 | |||
Daylan Kuefler | 2022 | 176 | |||
Denver Barkey | 2023 | 79 | |||
Ethan Phillips | 2019 | 101 | |||
Evan Cormier | 2016 | 100 | |||
Fedor Svechkov | 2021 | 16 | |||
Gabriel Paquin-Boudreau | |||||
Gavin White | 2022 | 112 | |||
Giorgio Estephan | |||||
Gracyn Sawchyn | 2023 | 52 | |||
Ivan Nalimov | |||||
Ivan Zhigalov | 2022 | 208 | |||
Jack Bar | 2021 | 80 | |||
Jacob Golden | |||||
Jared Davidson | 2022 | 144 | |||
Jeremy Smith | |||||
Jesse Kiiskinen | 2023 | 84 | |||
Joakim Nygard | Link | ||||
Joakim Ryan | Link | ||||
John Gilmour | |||||
John Piccinich | |||||
Jordan Dumais | 2022 | 80 | |||
Luca Cagnoni | 2023 | 93 | |||
Magnus Chrona | 2018 | 158 | |||
Mason Lohrei | 2020 | 66 | |||
Matej Paulovic | |||||
Matthew Wedman | 2019 | 194 | |||
Matvey Petrov | 2021 | 144 | |||
Matyas Sapovaliv | 2022 | 48 | |||
Maxim Groshev | 2020 | 97 | |||
Maxime Lagace | Link | ||||
Mikhail Shalagin | 2019 | 163 | |||
Miles Gendron | |||||
Mitchell Stephens | Link | ||||
Nail Yakupov | |||||
Nathan Gaucher | 2022 | 16 | |||
Nicolas Mattinen | 2016 | 190 | |||
Philippe Cornet | |||||
Philippe Daoust | 2020 | 159 | |||
Ryan Dzingel | Link | ||||
Santeri Virtanen | |||||
Scott Kosmachuk | |||||
Shakir Mukhamadullin | 2020 | 35 | |||
Slater Koekkoek | Link | ||||
Steve Oleksy | |||||
Talyn Boyko | 2021 | 79 | |||
Taylor Beck | |||||
Tomas Vincour | |||||
Tyler Steenbergen | |||||
Victor Bartley | |||||
Victor Stjernborg | 2021 | 112 | |||
Vladislav Kara | |||||
Zaccharya Wisdom | 2023 | 212 | |||
joey laleggia | |||||
jonatan nielsen |
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