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Full Scoreboard »» |
Iowa Wild 26-18-12, 64pts · 6th in Conference 2 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Derick Brassard | 0 | C/LW | 98.00 | 68 | 44 | 65 | 65 | 69 | 74 | 81 | 67 | 66 | 62 | 64 | 61 | 66 | 91 | 78 | 1 | 50 | 66 | 36 | 4,000,000$/3yrs | |||
Austin Czarnik | 0 | C/RW | 99.00 | 61 | 44 | 79 | 74 | 67 | 77 | 76 | 66 | 71 | 62 | 61 | 65 | 67 | 77 | 67 | 1 | 50 | 66 | 31 | 1,200,000$/3yrs | |||
Jonatan Berggren | 0 | LW/RW | 99.00 | 62 | 46 | 70 | 73 | 69 | 70 | 65 | 70 | 45 | 68 | 66 | 61 | 70 | 52 | 50 | 1 | 50 | 65 | 23 | 975,000$/1yrs | |||
Seth Griffith | 0 | C/RW | 100.00 | 54 | 44 | 68 | 69 | 59 | 72 | 71 | 66 | 46 | 67 | 59 | 60 | 64 | 65 | 58 | 1 | 50 | 63 | 31 | 1,100,000$/2yrs | |||
Alex Limoges | 0 | C/LW | 99.00 | 65 | 42 | 73 | 69 | 65 | 67 | 66 | 65 | 45 | 64 | 62 | 64 | 66 | 54 | 50 | 1 | 50 | 63 | 26 | 1,100,000$/2yrs | |||
Dylan Sikura | 0 | C/LW/RW | 99.00 | 54 | 44 | 72 | 71 | 56 | 68 | 68 | 67 | 44 | 64 | 62 | 56 | 66 | 57 | 51 | 1 | 50 | 62 | 29 | 1,100,000$/2yrs | |||
Cooper Marody | 0 | C/RW | 100.00 | 56 | 45 | 66 | 67 | 63 | 68 | 66 | 64 | 44 | 64 | 60 | 56 | 64 | 55 | 50 | 1 | 50 | 61 | 27 | 1,500,000$/4yrs | |||
Brad Malone | 0 | C/LW | 100.00 | 60 | 47 | 61 | 61 | 66 | 68 | 68 | 61 | 56 | 62 | 54 | 61 | 59 | 70 | 66 | 1 | 50 | 61 | 35 | 1,400,000$/1yrs | |||
Mathias Emilio Pettersen (R) | 0 | C | 100.00 | 62 | 44 | 68 | 72 | 57 | 63 | 63 | 63 | 42 | 62 | 59 | 66 | 65 | 51 | 50 | 1 | 50 | 61 | 24 | 975,000$/3yrs | |||
Shane Gersich | 0 | LW | 100.00 | 58 | 47 | 69 | 70 | 61 | 67 | 66 | 62 | 42 | 60 | 55 | 60 | 62 | 54 | 51 | 1 | 50 | 60 | 27 | 1,000,000$/3yrs | |||
Joakim Kemell | 0 | RW | 100.00 | 61 | 41 | 70 | 67 | 63 | 57 | 55 | 62 | 42 | 60 | 57 | 57 | 62 | 50 | 50 | 1 | 50 | 58 | 20 | 975,000$/2yrs | |||
Jack Rathbone | 0 | D | 99.00 | 60 | 43 | 71 | 72 | 60 | 65 | 63 | 64 | 40 | 59 | 58 | 68 | 65 | 53 | 50 | 1 | 50 | 62 | 25 | 1,150,000$/2yrs | |||
Brandon Davidson | 0 | D | 100.00 | 59 | 49 | 65 | 63 | 65 | 69 | 67 | 58 | 40 | 51 | 53 | 64 | 58 | 65 | 55 | 1 | 50 | 60 | 32 | 1,100,000$/2yrs | |||
Luke Martin (R) | 0 | D | 100.00 | 66 | 40 | 69 | 62 | 68 | 61 | 60 | 59 | 40 | 56 | 54 | 66 | 59 | 51 | 50 | 1 | 50 | 60 | 25 | 1,550,000$/3yrs | |||
Adam Karashik | 0 | D | 100.00 | 61 | 46 | 68 | 65 | 64 | 64 | 62 | 56 | 40 | 52 | 52 | 65 | 58 | 53 | 50 | 1 | 50 | 59 | 26 | 1,000,000$/3yrs | |||
Ryan Mast (R) | 0 | D | 100.00 | 65 | 40 | 67 | 59 | 70 | 59 | 57 | 55 | 40 | 54 | 54 | 61 | 56 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/3yrs | |||
Andrew Peski | 0 | D | 100.00 | 61 | 40 | 64 | 62 | 64 | 62 | 60 | 54 | 40 | 53 | 53 | 62 | 57 | 53 | 50 | 1 | 50 | 58 | 27 | 1,000,000$/3yrs | |||
Topi Niemelä (R) | 0 | D | 100.00 | 56 | 40 | 68 | 69 | 56 | 58 | 57 | 56 | 40 | 54 | 54 | 60 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Jakub Demek (R) | 0 | C/RW | 100.00 | 63 | 41 | 68 | 59 | 67 | 62 | 61 | 60 | 41 | 56 | 56 | 55 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/3yrs | |||
Evan Polei | 0 | LW | 100.00 | 65 | 51 | 61 | 58 | 71 | 67 | 65 | 58 | 41 | 53 | 52 | 59 | 56 | 57 | 50 | 1 | 50 | 57 | 28 | 1,550,000$/3yrs | |||
Ty Ronning | 0 | RW | 100.00 | 52 | 43 | 71 | 69 | 53 | 64 | 62 | 61 | 41 | 54 | 56 | 51 | 62 | 53 | 50 | 1 | 50 | 57 | 26 | 1,500,000$/4yrs | |||
Tanner Dickinson (R) | 0 | C | 100.00 | 59 | 40 | 67 | 63 | 62 | 59 | 58 | 56 | 46 | 55 | 55 | 55 | 58 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/3yrs | |||
Cristiano DiGiacinto | 0 | C/LW/RW | 100.00 | 56 | 43 | 67 | 63 | 61 | 64 | 62 | 56 | 40 | 53 | 52 | 55 | 57 | 56 | 50 | 1 | 50 | 56 | 28 | 1,000,000$/3yrs | |||
Timur Ibragimov | 0 | LW | 100.00 | 61 | 41 | 70 | 66 | 63 | 61 | 58 | 56 | 41 | 52 | 53 | 56 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs | |||
Anthony Vincent | 0 | C/LW/RW | 100.00 | 58 | 41 | 68 | 63 | 63 | 63 | 61 | 56 | 41 | 52 | 52 | 54 | 57 | 53 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/3yrs | |||
Logan Day | 0 | D | 88.66 | 62 | 43 | 70 | 65 | 66 | 69 | 67 | 61 | 40 | 60 | 55 | 68 | 60 | 59 | 50 | 1 | 50 | 62 | 29 | 1,000,000$/3yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joel Hofer | 0 | 100.00 | 79 | 74 | 76 | 70 | 79 | 79 | 78 | 79 | 79 | 78 | 71 | 56 | 52 | 1 | 50 | 70 | 23 | 1,500,000$/4yrs |
Yaroslav Askarov | 0 | 98.00 | 73 | 63 | 68 | 65 | 70 | 72 | 74 | 72 | 74 | 71 | 63 | 50 | 50 | 1 | 50 | 64 | 22 | 975,000$/2yrs |
Scratches | ||||||||||||||||||||
Dylan Ferguson | 0 | 100.00 | 70 | 58 | 54 | 64 | 64 | 65 | 68 | 66 | 66 | 63 | 52 | 52 | 50 | 1 | 50 | 59 | 25 | 1,000,000$/3yrs |
Dryden McKay | 0 | 100.00 | 63 | 57 | 57 | 62 | 60 | 59 | 59 | 56 | 60 | 60 | 53 | 52 | 50 | 1 | 50 | 55 | 26 | 1,000,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Brett McLean | 64 | 62 | 61 | 69 | 56 | 53 | 1 | CAN | 45 | 2 | 500,000$ |
General Manager |
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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 | Dylan Sikura | Wild (MIN) | C/LW/RW | 56 | 14 | 20 | 34 | 7 | 8 | 0 | 86 | 109 | 40 | 66 | 12.84% | 27 | 22.82 | 2 | 5 | 7 | 0 | 0 | 0 | 66 | 3 | 1 | 37.74% | 0 | 0 | 0.61 | 2 | 5 | 0.65 | |||
2 | Mathias Emilio Pettersen | Wild (MIN) | C | 56 | 9 | 17 | 26 | -1 | 24 | 10 | 90 | 70 | 24 | 49 | 12.86% | 15 | 20.67 | 1 | 4 | 5 | 0 | 0 | 0 | 62 | 1 | 0 | 41.23% | 0 | 0 | 0.46 | 3 | 10 | 0.36 | |||
3 | Austin Czarnik | Wild (MIN) | C/RW | 52 | 12 | 11 | 23 | -2 | 19 | 15 | 83 | 74 | 25 | 40 | 16.22% | 9 | 17.05 | 2 | 5 | 7 | 0 | 0 | 0 | 18 | 2 | 0 | 46.67% | 0 | 1 | 0.44 | 0 | 1 | 0.38 | |||
4 | Derick Brassard | Wild (MIN) | C/LW | 52 | 2 | 19 | 21 | -3 | 33 | 15 | 112 | 66 | 19 | 31 | 3.03% | 28 | 19.22 | 0 | 3 | 3 | 0 | 0 | 0 | 20 | 0 | 1 | 59.29% | 0 | 0 | 0.40 | 2 | 2 | 0.31 | |||
5 | Brad Malone | Wild (MIN) | C/LW | 56 | 7 | 10 | 17 | -2 | 30 | 10 | 97 | 50 | 15 | 22 | 14.00% | 20 | 19.29 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 0 | 1 | 49.20% | 0 | 0 | 0.30 | 0 | 3 | 0.19 | |||
6 | Jonatan Berggren | Wild (MIN) | LW/RW | 52 | 8 | 8 | 16 | 6 | 4 | 0 | 10 | 45 | 11 | 29 | 17.78% | 4 | 3.51 | 2 | 3 | 5 | 0 | 0 | 0 | 7 | 1 | 0 | 28.57% | 0 | 0 | 0.31 | 1 | 1 | 0.33 | |||
7 | Logan Day | Wild (MIN) | D | 45 | 2 | 9 | 11 | -2 | 22 | 0 | 86 | 28 | 12 | 16 | 7.14% | 53 | 27.87 | 1 | 1 | 2 | 0 | 0 | 0 | 57 | 0 | 1 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.18 | |||
8 | Jack Rathbone | Wild (MIN) | D | 38 | 4 | 6 | 10 | 11 | 13 | 5 | 52 | 39 | 23 | 24 | 10.26% | 36 | 25.05 | 2 | 0 | 2 | 0 | 0 | 0 | 53 | 2 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.37 | |||
9 | Cooper Marody | Wild (MIN) | C/RW | 54 | 3 | 6 | 9 | -6 | 6 | 0 | 62 | 36 | 14 | 14 | 8.33% | 13 | 15.17 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 1 | 0 | 35.34% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | |||
10 | Shane Gersich | Wild (MIN) | LW | 56 | 4 | 4 | 8 | -5 | 21 | 5 | 93 | 41 | 12 | 25 | 9.76% | 19 | 19.22 | 2 | 0 | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 41.37% | 0 | 0 | 0.14 | 2 | 10 | 0.09 | |||
11 | Alex Limoges | Wild (MIN) | C/LW | 52 | 5 | 2 | 7 | 4 | 2 | 0 | 33 | 30 | 4 | 16 | 16.67% | 5 | 6.58 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 1 | 0 | 43.21% | 1 | 0 | 0.13 | 0 | 0 | 0.18 | |||
12 | Seth Griffith | Wild (MIN) | C/RW | 52 | 3 | 3 | 6 | 4 | 4 | 0 | 30 | 26 | 7 | 17 | 11.54% | 3 | 7.64 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 55.00% | 0 | 0 | 0.12 | 0 | 0 | 0.14 | |||
13 | Brandon Davidson | Wild (MIN) | D | 56 | 1 | 2 | 3 | -2 | 26 | 10 | 55 | 19 | 7 | 13 | 5.26% | 41 | 21.16 | 1 | 0 | 1 | 0 | 0 | 0 | 65 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.00 | |||
14 | Evan Polei | Wild (MIN) | LW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 1 | 2 | 3 | 0.00% | 0 | 18.83 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 0 | 0 | 0.25 | 0 | 0 | 0.21 | |||
15 | Ryan Mast | Wild (MIN) | D | 13 | 0 | 1 | 1 | -2 | 5 | 5 | 9 | 6 | 1 | 2 | 0.00% | 3 | 14.31 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | -0.02 | |||
16 | Adam Karashik | Wild (MIN) | D | 35 | 0 | 1 | 1 | -1 | 14 | 10 | 12 | 5 | 0 | 1 | 0.00% | 10 | 10.11 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.05 | |||
17 | Andrew Peski | Wild (MIN) | D | 13 | 0 | 1 | 1 | 1 | 5 | 5 | 8 | 7 | 4 | 2 | 0.00% | 4 | 15.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.08 | |||
18 | Joakim Kemell | Wild (MIN) | RW | 11 | 1 | 0 | 1 | -2 | 2 | 0 | 10 | 10 | 3 | 9 | 10.00% | 0 | 9.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.09 | 0 | 0 | 0.08 | |||
19 | Luke Martin | Wild (MIN) | D | 13 | 0 | 1 | 1 | 1 | 0 | 0 | 12 | 2 | 2 | 3 | 0.00% | 6 | 16.76 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.13 | |||
20 | Jakub Demek | Wild (MIN) | C/RW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0.00% | 1 | 15.70 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 18.18% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
21 | Ty Ronning | Wild (MIN) | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
22 | Cristiano DiGiacinto | Wild (MIN) | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0.00% | 0 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
23 | Anthony Vincent | Wild (MIN) | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0.00% | 0 | 6.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | |||
24 | Topi Niemelä | Wild (MIN) | D | 13 | 0 | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 4.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.07 | |||
Team Total or Average | 789 | 75 | 122 | 197 | 10 | 240 | 90 | 948 | 667 | 227 | 382 | 11.24% | 297 | 16.36 | 15 | 22 | 37 | 696 | 0 | 0 | 0 | 485 | 13 | 4 | 47.16% | 2116 | 171 | 223 | 1 | 1 | 0.31 | 10 | 32 |
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 | Joel Hofer | Wild (MIN) | 38 | 17 | 12 | 9 | 0.924 | 1.55 | 2326 | 0 | 7 | 60 | 788 | 402 | 1 | 1 | 0.767 | 30 | 38 | 5 | 7 | 4 | 3 |
2 | Yaroslav Askarov | Wild (MIN) | 16 | 8 | 5 | 3 | 0.914 | 1.87 | 965 | 0 | 3 | 30 | 347 | 186 | 0 | 0 | 0.800 | 5 | 16 | 38 | 1 | 2 | 1 |
Team Total or Average | 54 | 25 | 17 | 12 | 0.921 | 1.64 | 3291 | 0 | 10 | 90 | 1135 | 588 | 1 | 1 | 0.771 | 35 | 54 | 43 | 8 | 6 | 4 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Karashik | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Alex Limoges | C/LW | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Andrew Peski | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Anthony Vincent | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Austin Czarnik | C/RW | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Brad Malone | C/LW | 35 | 1,400,000$ | 1,400,000$ | UFA | ||||||
Brandon Davidson | D | 32 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Cooper Marody | C/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Cristiano DiGiacinto | C/LW/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Derick Brassard | C/LW | 36 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Dryden McKay | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dylan Ferguson | G | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dylan Sikura | C/LW/RW | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Evan Polei | LW | 28 | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | UFA | ||||
Jack Rathbone | D | 25 | 1,150,000$ | 1,150,000$ | 1,150,000$ | RFA | |||||
Jakub Demek | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Joakim Kemell | RW | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Joel Hofer | G | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Jonatan Berggren | LW/RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Logan Day | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Luke Martin | D | 25 | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | UFA | ||||
Mathias Emilio Pettersen | C | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ryan Mast | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Seth Griffith | C/RW | 31 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Shane Gersich | LW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Tanner Dickinson | C | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Timur Ibragimov | LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Topi Niemelä | D | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ty Ronning | RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Yaroslav Askarov | G | 22 | 975,000$ | 975,000$ | 975,000$ | 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 | Gulls | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 0 | 2 | 0 | 0 | 11 | 33 | 44 | 14 | 9 | 193 | 251 | 340 | 56 | 13 | 0 | 4 | 17 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 100.0% | 22.2% | 92.3% | 114.5 | LUCKY |
2 | Moose | 6 | 2 | 1 | 0 | 0 | 3 | 0 | 0 | 4 | 7 | -3 | 7 | 0.583 | 4 | 4 | 8 | 0 | 1 | 11 | 33 | 44 | 14 | 60 | 193 | 251 | 340 | 56 | 94 | 39 | 21 | 115 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 33.3% | 6.7% | 92.6% | 99.2 | DULL |
3 | Bruins | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 1 | 5 | 6 | 1.000 | 6 | 8 | 14 | 0 | 2 | 11 | 33 | 44 | 14 | 38 | 193 | 251 | 340 | 56 | 44 | 13 | 6 | 54 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 80.0% | 15.8% | 97.7% | 113.5 | LUCKY |
4 | Americans | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 11 | 33 | 44 | 14 | 5 | 193 | 251 | 340 | 56 | 13 | 4 | 5 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 33.3% | 20.0% | 84.6% | 104.6 | FUN |
5 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 33 | 44 | 14 | 9 | 193 | 251 | 340 | 56 | 41 | 14 | 2 | 19 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 0.0% | 0.0% | 95.1% | 95.1 | DULL |
6 | IceHogs | 3 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 5 | -4 | 2 | 0.333 | 1 | 1 | 2 | 0 | 0 | 11 | 33 | 44 | 14 | 26 | 193 | 251 | 340 | 56 | 32 | 9 | 11 | 57 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 20.0% | 3.8% | 84.4% | 88.2 | Unlucky |
7 | Eagles | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 11 | 33 | 44 | 14 | 19 | 193 | 251 | 340 | 56 | 29 | 8 | 12 | 38 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 50.0% | 15.8% | 89.7% | 105.4 | FUN |
8 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 11 | 33 | 44 | 14 | 26 | 193 | 251 | 340 | 56 | 31 | 13 | 8 | 43 | 2 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 40.0% | 7.7% | 80.6% | 88.3 | Unlucky |
9 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 11 | 33 | 44 | 14 | 11 | 193 | 251 | 340 | 56 | 10 | 4 | 2 | 22 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 0.0% | 9.1% | 70.0% | 79.1 | FUN |
10 | Griffins | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 6 | 7 | -1 | 3 | 0.500 | 6 | 7 | 13 | 0 | 0 | 11 | 33 | 44 | 14 | 57 | 193 | 251 | 340 | 56 | 99 | 36 | 20 | 52 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 41.7% | 10.5% | 92.9% | 103.5 | LUCKY |
11 | Checkers 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 6 | 11 | 0 | 1 | 11 | 33 | 44 | 14 | 45 | 193 | 251 | 340 | 56 | 26 | 12 | 6 | 45 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 80.0% | 11.1% | 96.2% | 107.3 | LUCKY |
12 | Reign | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 4 | 6 | 0 | 1 | 11 | 33 | 44 | 14 | 16 | 193 | 251 | 340 | 56 | 26 | 10 | 4 | 40 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 50.0% | 12.5% | 92.3% | 104.8 | LUCKY |
13 | Rocket | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 11 | 33 | 44 | 14 | 11 | 193 | 251 | 340 | 56 | 17 | 4 | 2 | 27 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 100.0% | 18.2% | 100.0% | 118.2 | LUCKY |
14 | Admirals | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.333 | 2 | 4 | 6 | 0 | 1 | 11 | 33 | 44 | 14 | 30 | 193 | 251 | 340 | 56 | 75 | 23 | 11 | 51 | 10 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 33.3% | 6.7% | 94.7% | 101.3 | DULL |
15 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 11 | 33 | 44 | 14 | 47 | 193 | 251 | 340 | 56 | 51 | 19 | 17 | 37 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 50.0% | 12.8% | 88.2% | 101.0 | FUN |
16 | Islanders | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 5 | -3 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 11 | 33 | 44 | 14 | 21 | 193 | 251 | 340 | 56 | 24 | 9 | 10 | 34 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 33.3% | 9.5% | 79.2% | 88.7 | FUN |
17 | Wolf Pack | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 11 | 33 | 44 | 14 | 24 | 193 | 251 | 340 | 56 | 58 | 23 | 5 | 44 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 50.0% | 12.5% | 94.8% | 107.3 | LUCKY |
18 | Belleville Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 11 | 33 | 44 | 14 | 51 | 193 | 251 | 340 | 56 | 56 | 23 | 28 | 54 | 8 | 4 | 50.00% | 4 | 1 | 75.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 57.1% | 15.7% | 92.9% | 108.5 | LUCKY |
19 | Phantoms | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 11 | 33 | 44 | 14 | 21 | 193 | 251 | 340 | 56 | 30 | 5 | 6 | 31 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 40.0% | 9.5% | 90.0% | 99.5 | FUN |
20 | Roadrunners | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 11 | 33 | 44 | 14 | 29 | 193 | 251 | 340 | 56 | 53 | 15 | 4 | 38 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 75.0% | 20.7% | 96.2% | 116.9 | LUCKY |
21 | Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 11 | 33 | 44 | 14 | 28 | 193 | 251 | 340 | 56 | 10 | 4 | 2 | 29 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 100.0% | 3.6% | 100.0% | 103.6 | DULL |
22 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 33 | 44 | 14 | 8 | 193 | 251 | 340 | 56 | 12 | 5 | 4 | 16 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 0.0% | 0.0% | 75.0% | 75.0 | Unlucky |
23 | Thunderbirds | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 11 | 33 | 44 | 14 | 14 | 193 | 251 | 340 | 56 | 30 | 6 | 15 | 18 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 75.0% | 21.4% | 93.3% | 114.8 | LUCKY |
24 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 11 | 33 | 44 | 14 | 16 | 193 | 251 | 340 | 56 | 49 | 17 | 10 | 31 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 20.0% | 6.3% | 89.8% | 96.0 | Unlucky |
25 | Marlies | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 11 | 33 | 44 | 14 | 53 | 193 | 251 | 340 | 56 | 64 | 19 | 37 | 39 | 4 | 3 | 75.00% | 6 | 1 | 83.33% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 70.0% | 18.9% | 93.8% | 112.6 | LUCKY |
26 | Canucks | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 11 | 19 | 0 | 0 | 11 | 33 | 44 | 14 | 54 | 193 | 251 | 340 | 56 | 52 | 19 | 8 | 59 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 53.3% | 14.8% | 84.6% | 99.4 | FUN |
27 | Hershey Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 33 | 44 | 14 | 25 | 193 | 251 | 340 | 56 | 84 | 32 | 10 | 42 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 0.0% | 0.0% | 92.9% | 92.9 | DULL |
28 | Silver Knights | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 4 | 1.000 | 5 | 7 | 12 | 0 | 2 | 11 | 33 | 44 | 14 | 27 | 193 | 251 | 340 | 56 | 17 | 5 | 4 | 38 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 100.0% | 18.5% | 100.0% | 118.5 | LUCKY |
29 | Checkers 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 11 | 33 | 44 | 14 | 19 | 193 | 251 | 340 | 56 | 25 | 7 | 6 | 24 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 60.0% | 21.1% | 92.0% | 113.1 | LUCKY |
_Vs Division | 9 | 5 | 6 | 0 | 0 | 5 | 2 | 1 | 21 | 16 | 5 | 20 | 1.111 | 21 | 29 | 50 | 0 | 3 | 11 | 33 | 44 | 14 | 133 | 193 | 251 | 340 | 56 | 145 | 46 | 30 | 194 | 12 | 2 | 16.67% | 15 | 4 | 73.33% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 61.3% | 15.8% | 89.0% | 104.8 | FUN | |
_Vs Conference | 28 | 8 | 7 | 0 | 1 | 6 | 4 | 2 | 39 | 41 | -2 | 34 | 0.607 | 39 | 53 | 92 | 1 | 5 | 11 | 33 | 44 | 14 | 325 | 193 | 251 | 340 | 56 | 515 | 167 | 118 | 526 | 53 | 6 | 11.32% | 44 | 7 | 84.09% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 49.3% | 12.0% | 92.0% | 104.0 | LUCKY | |
_Since Last GM Reset | 56 | 18 | 18 | 0 | 1 | 8 | 7 | 4 | 96 | 97 | -1 | 64 | 0.571 | 96 | 138 | 234 | 1 | 10 | 11 | 33 | 44 | 14 | 799 | 193 | 251 | 340 | 56 | 1165 | 397 | 280 | 1137 | 106 | 17 | 16.04% | 95 | 18 | 81.05% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 50.0% | 12.0% | 91.7% | 103.7 | LUCKY | |
Total | 56 | 18 | 18 | 0 | 1 | 8 | 7 | 4 | 96 | 97 | -1 | 64 | 0.571 | 96 | 138 | 234 | 1 | 10 | 11 | 33 | 44 | 14 | 799 | 193 | 251 | 340 | 56 | 1165 | 397 | 280 | 1137 | 106 | 17 | 16.04% | 95 | 18 | 81.05% | 0 | 344 | 737 | 46.68% | 453 | 912 | 49.67% | 239 | 499 | 47.90% | 962 | 352 | 1086 | 617 | 1371 | 691 | 50.0% | 12.0% | 91.7% | 103.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 17 |
Neutral Zone | 24 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 737 |
Neutral Zone Start | 499 |
Defensive Zone Start | 912 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1036 |
Faceoffs Lost | 1112 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 3.4 | 9.57 |
2nd Period | 7.9 | 20.31 |
3rd Period | 14.0 | 30.68 |
Overtime | 15.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.2 | 0.64 |
2nd Period | 0.8 | 1.65 |
3rd Period | 1.6 | 2.67 |
Overtime | 1.8 | 2.83 |
Even Strenght Goal | 78 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 12 | 14 |
Lost | 9 | 9 |
Overtime Lost | 6 | 6 |
PP Attempt | 106 |
---|---|
PP Goal | 17 |
PK Attempt | 95 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 14.3 |
Shots Against | 20.8 |
Goals For | 1.7 |
Goals Against | 1.7 |
Hits | 20.3 |
Shots Blocked | 7.1 |
Pim | 5.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Oct 12 | MIN | @ | WPG | MIN1,WPG2 (OT) | RECAP | |||||||||
Mon, Oct 14 | CHI | @ | MIN | CHI0,MIN2 | RECAP | |||||||||
Wed, Oct 16 | MIN | @ | TAM | MIN1,TAM2 | RECAP | |||||||||
Thu, Oct 17 | BOS | @ | MIN | BOS0,MIN1 (SO) | RECAP | |||||||||
Sat, Oct 19 | MIN | @ | WPG | MIN0,WPG2 | RECAP | |||||||||
Mon, Oct 21 | CHI | @ | MIN | CHI0,MIN3 | RECAP | |||||||||
Wed, Oct 23 | WPG | @ | MIN | WPG1,MIN0 (OT) | RECAP | |||||||||
Fri, Oct 25 | MIN | @ | DET | MIN1,DET2 (SO) | RECAP | |||||||||
Sun, Oct 27 | MIN | @ | CHI | MIN0,CHI1 (OT) | RECAP | |||||||||
Tue, Oct 29 | DAL | @ | MIN | DAL3,MIN1 | RECAP | |||||||||
Fri, Nov 1 | MIN | @ | WPG | MIN2,WPG1 | RECAP | |||||||||
Sun, Nov 3 | NAS | @ | MIN | NAS3,MIN0 | RECAP | |||||||||
Mon, Nov 4 | MIN | @ | NAS | MIN2,NAS0 | RECAP | |||||||||
Thu, Nov 7 | BUF | @ | MIN | BUF2,MIN1 (OT) | RECAP | |||||||||
Sat, Nov 9 | CHI | @ | MIN | CHI1,MIN0 (OT) | RECAP | |||||||||
Sun, Nov 10 | MIN | @ | MTL | MIN2,MTL0 | RECAP | |||||||||
Wed, Nov 13 | MIN | @ | STL | MIN3,STL2 (SO) | RECAP | |||||||||
Thu, Nov 14 | LOS | @ | MIN | LOS0,MIN1 | RECAP | |||||||||
Sat, Nov 16 | MIN | @ | WAS | MIN0,WAS2 | RECAP | |||||||||
Mon, Nov 18 | NYR | @ | MIN | NYR2,MIN1 (OT) | RECAP | |||||||||
Wed, Nov 20 | PHO | @ | MIN | PHO1,MIN4 | RECAP | |||||||||
Fri, Nov 22 | MIN | @ | PHI | MIN2,PHI3 (SO) | RECAP | |||||||||
Sun, Nov 24 | FLO | @ | MIN | FLO0,MIN1 (SO) | RECAP | |||||||||
Wed, Nov 27 | MIN | @ | CHI | MIN1,CHI3 | RECAP | |||||||||
Thu, Nov 28 | MIN | @ | BOS | MIN3,BOS1 | RECAP | |||||||||
Sat, Nov 30 | S J | @ | MIN | S J3,MIN0 | RECAP | |||||||||
Mon, Dec 2 | NAS | @ | MIN | NAS1,MIN0 | RECAP | |||||||||
Thu, Dec 5 | MIN | @ | LOS | MIN1,LOS2 (OT) | RECAP | |||||||||
Sat, Dec 7 | MIN | @ | PHO | MIN2,PHO1 (SO) | RECAP | |||||||||
Sun, Dec 8 | CLB | @ | MIN | CLB3,MIN2 | RECAP | |||||||||
Wed, Dec 11 | BOS | @ | MIN | BOS0,MIN2 | RECAP | |||||||||
Fri, Dec 13 | MIN | @ | ANA | MIN2,ANA1 (SO) | RECAP | |||||||||
Sun, Dec 15 | MIN | @ | OTT | MIN1,OTT2 | RECAP | |||||||||
Tue, Dec 17 | WPG | @ | MIN | WPG1,MIN0 (OT) | RECAP | |||||||||
Thu, Dec 19 | COL | @ | MIN | COL2,MIN3 (OT) | RECAP | |||||||||
Sat, Dec 21 | MIN | @ | DET | MIN3,DET2 (SO) | RECAP | |||||||||
Mon, Dec 23 | MIN | @ | COL | MIN0,COL1 (SO) | RECAP | |||||||||
Wed, Dec 25 | MIN | @ | CLB | MIN0,CLB3 | RECAP | |||||||||
Fri, Dec 27 | CAR | @ | MIN | CAR2,MIN0 | RECAP | |||||||||
Sun, Dec 29 | SEA | @ | MIN | SEA2,MIN4 | RECAP | |||||||||
Tue, Dec 31 | MIN | @ | NYR | MIN2,NYR1 | RECAP | |||||||||
Thu, Jan 2 | MIN | @ | NYI | MIN0,NYI2 | RECAP | |||||||||
Fri, Jan 3 | WAS | @ | MIN | WAS4,MIN0 | RECAP | |||||||||
Sun, Jan 5 | MIN | @ | WPG | MIN1,WPG0 | RECAP | |||||||||
Tue, Jan 7 | NYI | @ | MIN | NYI3,MIN2 (SO) | RECAP | |||||||||
Thu, Jan 9 | MIN | @ | TAM | MIN0,TAM3 | RECAP | |||||||||
Sat, Jan 11 | TOR | @ | MIN | TOR2,MIN4 | RECAP | |||||||||
Mon, Jan 13 | MIN | @ | VAN | MIN6,VAN5 (SO) | RECAP | |||||||||
Wed, Jan 15 | OTT | @ | MIN | OTT2,MIN7 | RECAP | |||||||||
Fri, Jan 17 | DET | @ | MIN | DET3,MIN2 | RECAP | |||||||||
Sat, Jan 18 | MIN | @ | TOR | MIN6,TOR2 | RECAP | |||||||||
Mon, Jan 20 | MIN | @ | PIT | MIN1,PIT0 | RECAP | |||||||||
Wed, Jan 22 | NJD | @ | MIN | NJD2,MIN4 | RECAP | |||||||||
Fri, Jan 24 | MIN | @ | FLO | MIN4,FLO1 | RECAP | |||||||||
Sun, Jan 26 | VAN | @ | MIN | VAN3,MIN2 | RECAP | |||||||||
Mon, Jan 27 | MIN | @ | NJD | MIN2,NJD4 | RECAP | |||||||||
Wed, Jan 29 | CHI | @ | MIN | |||||||||||
Fri, Jan 31 | MIN | @ | CAL | |||||||||||
Mon, Feb 3 | TAM | @ | MIN | |||||||||||
Wed, Feb 5 | MIN | @ | CAR | |||||||||||
Thu, Feb 6 | NYR | @ | MIN | |||||||||||
Sat, Feb 8 | MIN | @ | DAL | |||||||||||
Tue, Feb 11 | STL | @ | MIN | |||||||||||
Thu, Feb 13 | MIN | @ | EDM | |||||||||||
Sat, Feb 15 | DAL | @ | MIN | |||||||||||
Mon, Feb 17 | ANA | @ | MIN | |||||||||||
Tue, Feb 18 | MIN | @ | CHI | |||||||||||
Fri, Feb 21 | MIN | @ | S J | |||||||||||
Sat, Feb 22 | STL | @ | MIN | |||||||||||
Tue, Feb 25 | MIN | @ | SEA | |||||||||||
Thu, Feb 27 | PIT | @ | MIN | |||||||||||
Sat, Mar 1 | MIN | @ | CHI | |||||||||||
Mon, Mar 3 | MIN | @ | STL | |||||||||||
Tue, Mar 4 | EDM | @ | MIN | |||||||||||
Fri, Mar 7 | CAL | @ | MIN | |||||||||||
Tue, Mar 11 | BUF | @ | MIN | |||||||||||
Thu, Mar 13 | MIN | @ | NAS | |||||||||||
Sun, Mar 16 | MIN | @ | BUF | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Mar 17 | MTL | @ | MIN | |||||||||||
Thu, Mar 20 | MIN | @ | DAL | |||||||||||
Sat, Mar 22 | PHI | @ | MIN | |||||||||||
Wed, Mar 26 | DET | @ | MIN |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,652,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Iowa | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,652,500$ | 3,652,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,963,157$ | 0$ | 2,640,693$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 87 | 24,571$ | 1,474,260$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,474,260$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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