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Full Scoreboard »» |
Winnipeg Jets 3-2-0, 6pts · 6th 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 | 100.00 | 69 | 44 | 91 | 82 | 83 | 81 | 79 | 89 | 41 | 85 | 92 | 76 | 59 | 68 | 72 | 85 | 50 | 0 | 26 | 4,750,000$/4yrs | |||
![]() | 0 | C | 100.00 | 67 | 53 | 84 | 87 | 78 | 85 | 91 | 90 | 85 | 76 | 95 | 64 | 69 | 76 | 78 | 84 | 50 | 0 | 29 | 6,125,000$/2yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 98 | 82 | 67 | 76 | 81 | 76 | 79 | 80 | 81 | 69 | 25 | 55 | 55 | 79 | 53 | 0 | 20 | 897,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 44 | 86 | 86 | 67 | 85 | 86 | 92 | 31 | 82 | 84 | 72 | 25 | 71 | 74 | 83 | 50 | 0 | 27 | 4,500,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 43 | 89 | 81 | 65 | 76 | 85 | 83 | 44 | 83 | 70 | 67 | 75 | 45 | 46 | 75 | 53 | 0 | 23 | 842,500$/1yrs | |||
![]() | 0 | LW | 100.00 | 76 | 43 | 72 | 86 | 64 | 79 | 89 | 91 | 39 | 87 | 80 | 73 | 50 | 85 | 92 | 81 | 50 | 0 | 34 | 6,125,000$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 40 | 94 | 67 | 66 | 68 | 59 | 80 | 73 | 83 | 84 | 61 | 75 | 49 | 49 | 76 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 41 | 88 | 87 | 70 | 76 | 97 | 86 | 56 | 86 | 90 | 62 | 40 | 83 | 83 | 82 | 50 | 0 | 30 | 9,000,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 76 | 43 | 86 | 90 | 70 | 83 | 94 | 95 | 37 | 87 | 99 | 63 | 39 | 74 | 78 | 88 | 50 | 0 | 26 | 6,666,667$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 41 | 94 | 86 | 67 | 74 | 99 | 67 | 45 | 77 | 84 | 73 | 25 | 60 | 60 | 79 | 50 | 0 | 20 | 894,167$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 83 | 44 | 78 | 81 | 68 | 73 | 61 | 76 | 39 | 76 | 76 | 67 | 25 | 67 | 67 | 75 | 50 | 0 | 26 | 4,000,000$/3yrs | |||
![]() | 0 | C | 99.00 | 71 | 43 | 90 | 85 | 72 | 76 | 93 | 93 | 99 | 79 | 85 | 76 | 59 | 92 | 99 | 82 | 50 | 0 | 37 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 97 | 57 | 86 | 78 | 75 | 80 | 90 | 59 | 25 | 51 | 50 | 86 | 25 | 60 | 61 | 66 | 53 | 0 | 22 | 791,667$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 43 | 89 | 88 | 77 | 90 | 98 | 78 | 25 | 71 | 56 | 84 | 75 | 68 | 69 | 72 | 50 | 0 | 25 | 4,550,000$/4yrs | |||
![]() | 0 | D | 100.00 | 61 | 51 | 93 | 80 | 72 | 78 | 91 | 61 | 25 | 55 | 50 | 86 | 25 | 70 | 71 | 65 | 50 | 0 | 31 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 56 | 84 | 78 | 79 | 76 | 94 | 57 | 25 | 51 | 48 | 88 | 25 | 87 | 87 | 65 | 50 | 0 | 35 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 95 | 87 | 80 | 80 | 96 | 59 | 25 | 54 | 50 | 99 | 25 | 71 | 72 | 68 | 50 | 0 | 28 | 5,800,000$/3yrs | |||
![]() | 0 | D | 100.00 | 78 | 45 | 84 | 90 | 86 | 90 | 96 | 78 | 25 | 73 | 53 | 83 | 61 | 83 | 91 | 71 | 50 | 0 | 31 | 7,875,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 88 | 58 | 82 | 79 | 70 | 63 | 97 | 71 | 62 | 65 | 72 | 66 | 79 | 62 | 65 | 72 | 50 | 0 | 26 | 1,125,000$/1yrs | |||
![]() | 0 | C | 100.00 | 80 | 74 | 93 | 75 | 74 | 67 | 71 | 56 | 70 | 52 | 54 | 66 | 51 | 49 | 49 | 61 | 50 | 0 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 56 | 86 | 72 | 83 | 65 | 80 | 61 | 39 | 65 | 60 | 79 | 75 | 52 | 52 | 68 | 56 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 97 | 68 | 82 | 76 | 77 | 64 | 63 | 62 | 29 | 60 | 68 | 66 | 25 | 50 | 50 | 69 | 56 | 0 | 24 | 785,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 69 | 63 | 62 | 69 | 61 | 62 | 59 | 50 | 46 | 65 | 63 | 62 | 59 | 59 | 61 | 50 | 0 | 25 | 1,133,333$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 75 | 80 | 78 | 75 | 64 | 69 | 49 | 25 | 41 | 39 | 65 | 37 | 58 | 58 | 54 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 58 | 77 | 68 | 84 | 64 | 75 | 60 | 25 | 51 | 48 | 72 | 25 | 52 | 52 | 60 | 56 | 0 | 22 | 795,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 92 | 76 | 64 | 69 | 70 | 65 | 25 | 54 | 48 | 66 | 25 | 47 | 47 | 60 | 56 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 91 | 77 | 73 | 62 | 43 | 55 | 25 | 51 | 48 | 78 | 75 | 58 | 58 | 61 | 50 | 0 | 25 | 1,137,500$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 74 | 78 | 58 | 74 | 73 | 78 | 56 | 25 | 42 | 55 | 63 | 52 | 44 | 44 | 59 | 56 | 0 | 22 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 83 | 71 | 70 | 64 | 77 | 61 | 25 | 51 | 48 | 69 | 25 | 60 | 60 | 60 | 56 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 75 | 81 | 73 | 69 | 65 | 58 | 61 | 25 | 48 | 48 | 74 | 25 | 52 | 53 | 61 | 50 | 0 | 26 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 99 | 98 | 67 | 72 | 85 | 70 | 85 | 58 | 25 | 60 | 48 | 83 | 25 | 82 | 84 | 65 | 50 | 0 | 32 | 850,000$/1yrs | |||
TEAM AVERAGE | 99.97 | 76 | 53 | 85 | 79 | 73 | 73 | 81 | 70 | 41 | 65 | 65 | 73 | 45 | 64 | 66 | 71 | 51 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 87 | 95 | 91 | 84 | 86 | 88 | 90 | 86 | 87 | 87 | 77 | 70 | 71 | 88 | 50 | 0 | 29 | 6,166,666$/2yrs |
![]() | 0 | 100.00 | 63 | 66 | 65 | 81 | 65 | 60 | 69 | 60 | 65 | 63 | 43 | 56 | 56 | 64 | 50 | 0 | 26 | 2,750,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 61 | 53 | 66 | 77 | 64 | 64 | 61 | 67 | 66 | 65 | 95 | 45 | 45 | 63 | 50 | 0 | 26 | 750,000$/1yrs |
![]() | 0 | 100.00 | 49 | 50 | 63 | 65 | 49 | 51 | 50 | 55 | 51 | 51 | 30 | 44 | 44 | 51 | 56 | 0 | 21 | 758,333$/2yrs |
TEAM AVERAGE | 99.75 | 65 | 66 | 71 | 77 | 66 | 66 | 68 | 67 | 67 | 67 | 61 | 54 | 54 | 67 | 52 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Pascal Simoneau |
---|
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 | Mark Scheifele | 0 | C | 5 | 3 | 4 | 7 | 3 | 0 | 0 | 6 | 9 | 1 | 6 | 33.33% | 1 | 18.35 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 4 | 1 | 0 | 44.78% | 67 | 3 | 1 | 0 | 0 | 1.53 | 0 | 0 | ||
2 | David Pastrnak | 0 | RW | 5 | 2 | 5 | 7 | 5 | 2 | 0 | 12 | 14 | 5 | 9 | 14.29% | 3 | 20.56 | 0 | 1 | 1 | 8 | 1 | 0 | 1 | 8 | 0 | 0 | 20.83% | 24 | 3 | 5 | 0 | 0 | 1.36 | 0 | 0 | ||
3 | Patrice Bergeron | 0 | C | 5 | 3 | 3 | 6 | 5 | 2 | 0 | 8 | 16 | 6 | 10 | 18.75% | 4 | 20.26 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 7 | 0 | 1 | 61.90% | 105 | 3 | 1 | 0 | 0 | 1.18 | 0 | 0 | ||
4 | Alex Tuch | 0 | LW/RW | 5 | 2 | 3 | 5 | 6 | 0 | 0 | 5 | 20 | 7 | 1 | 10.00% | 1 | 19.37 | 0 | 0 | 0 | 7 | 1 | 1 | 2 | 5 | 0 | 0 | 60.00% | 5 | 4 | 1 | 0 | 0 | 1.03 | 0 | 0 | ||
5 | Brad Marchand | 0 | LW | 5 | 3 | 2 | 5 | 4 | 2 | 0 | 15 | 24 | 6 | 14 | 12.50% | 2 | 19.57 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 2 | 0 | 0 | 27.27% | 11 | 6 | 1 | 0 | 0 | 1.02 | 0 | 0 | ||
6 | Jeff Skinner | 0 | LW/RW | 5 | 1 | 3 | 4 | 2 | 2 | 0 | 8 | 12 | 7 | 3 | 8.33% | 2 | 17.56 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 5 | 2 | 2 | 0 | 0 | 0.91 | 0 | 0 | ||
7 | Esa Lindell | 0 | D | 5 | 0 | 3 | 3 | 3 | 0 | 0 | 4 | 7 | 3 | 1 | 0.00% | 4 | 23.48 | 0 | 0 | 0 | 7 | 0 | 2 | 2 | 7 | 0 | 0 | 0.00% | 0 | 0 | 7 | 0 | 0 | 0.51 | 0 | 0 | ||
8 | Rasmus Andersson | 0 | D | 5 | 1 | 1 | 2 | 0 | 2 | 0 | 5 | 7 | 5 | 5 | 14.29% | 6 | 22.49 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.36 | 0 | 0 | ||
9 | Artturi Lehkonen | 0 | LW/RW | 5 | 0 | 1 | 1 | -1 | 0 | 0 | 3 | 15 | 6 | 11 | 0.00% | 1 | 13.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 28.57% | 14 | 4 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
10 | Jacob Peterson | 0 | C/LW | 5 | 1 | 0 | 1 | -4 | 2 | 0 | 4 | 6 | 0 | 5 | 16.67% | 0 | 9.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
11 | Dawson Mercer | 0 | C/RW | 5 | 1 | 0 | 1 | -1 | 0 | 0 | 4 | 9 | 3 | 1 | 11.11% | 0 | 10.89 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 3 | 1 | 0 | 0 | 0.37 | 0 | 0 | ||
12 | Trevor van Riemsdyk | 0 | D | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 6 | 2 | 2 | 0.00% | 6 | 15.83 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
13 | Luke Schenn | 0 | D | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 14.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.39 | 0 | 0 | ||
14 | Marc Staal | 0 | D | 5 | 0 | 1 | 1 | 3 | 4 | 0 | 9 | 4 | 1 | 1 | 0.00% | 2 | 19.53 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.20 | 0 | 0 | ||
15 | Matthew Beniers | 0 | C | 5 | 0 | 0 | 0 | -4 | 0 | 0 | 5 | 4 | 2 | 2 | 0.00% | 1 | 9.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Thomas Novak | 0 | C | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 4 | 7 | 2 | 4 | 0.00% | 0 | 11.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 24 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Martin Fehervary | 0 | D | 5 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 1 | 1 | 0 | 0.00% | 4 | 11.38 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Robby Fabbri | 0 | C/LW | 5 | 0 | 0 | 0 | -4 | 0 | 0 | 5 | 6 | 0 | 2 | 0.00% | 2 | 8.07 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Victor Hedman | 0 | D | 5 | 0 | 0 | 0 | 1 | 4 | 0 | 6 | 4 | 5 | 6 | 0.00% | 6 | 24.57 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 90 | 17 | 28 | 45 | 18 | 24 | 0 | 109 | 172 | 62 | 83 | 9.88% | 45 | 16.48 | 2 | 4 | 6 | 94 | 2 | 4 | 6 | 66 | 3 | 1 | 47.96% | 269 | 37 | 32 | 0 | 0 | 0.61 | 0 | 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 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 | Connor Hellebuyck | 5 | 3 | 2 | 0 | 0.895 | 3.10 | 271 | 0 | 0 | 14 | 133 | 60 | 0 | 0 | 0.000 | 0 | 5 | 0 | 0 | 1 | 0 | |
2 | Kaapo Kahkonen | 1 | 0 | 0 | 0 | 0.929 | 2.14 | 28 | 0 | 0 | 1 | 14 | 8 | 0 | 0 | 0.000 | 0 | 0 | 5 | 0 | 0 | 0 | |
Team Total or Average | 6 | 3 | 2 | 0 | 0.898 | 3.00 | 300 | 0 | 0 | 15 | 147 | 68 | 0 | 0 | 0.000 | 0 | 5 | 5 | 0 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 30 | 5 | 19 | 6 | 0 | 26 | 6 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 21 | 12 | 20 | 8 | 17 | 8 | 37.5% | 10.0% | 80.8% | 90.8 | FUN | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 67 | 19 | 22 | 26 | 0 | 56 | 18 | 8 | 43 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 43 | 25 | 36 | 18 | 39 | 19 | 57.1% | 7.5% | 92.9% | 100.3 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 35 | 18 | 11 | 6 | 0 | 33 | 11 | 10 | 31 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 24 | 15 | 17 | 8 | 17 | 8 | 66.7% | 14.3% | 87.9% | 102.2 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 40 | 11 | 10 | 19 | 0 | 32 | 10 | 4 | 15 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 23 | 14 | 19 | 9 | 17 | 8 | 80.0% | 10.0% | 93.8% | 103.8 | LUCKY | |
_Vs Division | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN | |
_Vs Conference | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN | |
_Since Last GM Reset | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN | |
Total | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 97 |
Neutral Zone Start | 70 |
Defensive Zone Start | 102 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 129 |
Faceoffs Lost | 140 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 34.4 | 30.68 |
Overtime | 34.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 13 |
---|---|
PP Goal | 2 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 0 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
---|---|
PP Goal | 2 |
PK Attempt | 11 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 34.4 |
Shots Against | 29.4 |
Goals For | 3.4 |
Goals Against | 3.0 |
Hits | 21.8 |
Shots Blocked | 9.0 |
Pim | 4.8 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 35 |
LTIR Players | 0 |
Jets Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch ![]() | LW/RW | 26 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||
Artturi Lehkonen ![]() | LW/RW | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||
Austin Wagner ![]() | LW/RW | 25 | 1,133,333$ | 1,133,333$ | |||||||
Brad Marchand ![]() | LW | 34 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | |||||
Connor Hellebuyck ![]() | G | 29 | 6,166,666$ | 6,166,666$ | 6,166,666$ | ||||||
David Pastrnak ![]() | RW | 26 | 6,666,667$ | 6,666,667$ | |||||||
Dawson Mercer ![]() | C/RW | 20 | 894,167$ | 894,167$ | 894,167$ | ||||||
Esa Lindell ![]() | D | 28 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | |||||
Gabriel Carlsson ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Henrik Borgstrom ![]() | C | 25 | 1,000,000$ | 1,000,000$ | |||||||
Ian Mitchell ![]() | D | 23 | 925,000$ | 925,000$ | |||||||
Jacob Peterson ![]() | C/LW | 23 | 842,500$ | 842,500$ | |||||||
Jakub Zboril ![]() | D | 25 | 1,137,500$ | 1,137,500$ | 1,137,500$ | ||||||
Jeff Skinner ![]() | LW/RW | 30 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | |||
Jet Greaves ![]() | G | 21 | 758,333$ | 758,333$ | 758,333$ | ||||||
Joey Daccord ![]() | G | 26 | 750,000$ | 750,000$ | |||||||
Josh Mahura ![]() | D | 24 | 750,000$ | 750,000$ | |||||||
Kaapo Kahkonen ![]() | G | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Kevin Bahl ![]() | D | 22 | 795,000$ | 795,000$ | |||||||
Luke Schenn ![]() | D | 32 | 850,000$ | 850,000$ | |||||||
Marc Staal ![]() | D | 35 | 750,000$ | 750,000$ | |||||||
Mark Friedman ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | ||||||
Mark Scheifele ![]() | C | 29 | 6,125,000$ | 6,125,000$ | 6,125,000$ | ||||||
Martin Fehervary ![]() | D | 22 | 791,667$ | 791,667$ | |||||||
Matthew Beniers ![]() | C | 20 | 897,500$ | 897,500$ | 897,500$ | ||||||
Michael Kesselring ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Morgan Barron ![]() | C/LW/RW | 23 | 925,000$ | 925,000$ | |||||||
Patrice Bergeron ![]() | C | 37 | 2,500,000$ | 2,500,000$ | |||||||
Rasmus Andersson ![]() | D | 25 | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | ||||
Robby Fabbri ![]() | C/LW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Ross Colton ![]() | C/LW | 26 | 1,125,000$ | 1,125,000$ | |||||||
Thomas Novak ![]() | C | 25 | 750,000$ | 750,000$ | |||||||
Trevor van Riemsdyk ![]() | D | 31 | 950,000$ | 950,000$ | |||||||
Victor Hedman ![]() | D | 31 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | |||||
Wade Allison ![]() | RW | 24 | 785,000$ | 785,000$ | 785,000$ |
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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 30 | 5 | 19 | 6 | 0 | 26 | 6 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 21 | 12 | 20 | 8 | 17 | 8 | 37.5% | 10.0% | 80.8% | 90.8 | FUN | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 67 | 19 | 22 | 26 | 0 | 56 | 18 | 8 | 43 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 43 | 25 | 36 | 18 | 39 | 19 | 57.1% | 7.5% | 92.9% | 100.3 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 35 | 18 | 11 | 6 | 0 | 33 | 11 | 10 | 31 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 24 | 15 | 17 | 8 | 17 | 8 | 66.7% | 14.3% | 87.9% | 102.2 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 40 | 11 | 10 | 19 | 0 | 32 | 10 | 4 | 15 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 23 | 14 | 19 | 9 | 17 | 8 | 80.0% | 10.0% | 93.8% | 103.8 | LUCKY | |
_Vs Division | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN | |
_Vs Conference | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN | |
_Since Last GM Reset | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN | |
Total | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 6 | 0.600 | 17 | 28 | 45 | 0 | 0 | 2 | 6 | 9 | 0 | 172 | 53 | 62 | 57 | 0 | 147 | 45 | 24 | 109 | 12 | 2 | 16.67% | 11 | 4 | 63.64% | 2 | 44 | 97 | 45.36% | 48 | 102 | 47.06% | 37 | 70 | 52.86% | 112 | 67 | 94 | 44 | 92 | 44 | 57.7% | 9.9% | 89.8% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 97 |
Neutral Zone Start | 70 |
Defensive Zone Start | 102 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
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Faceoffs Won | 129 |
Faceoffs Lost | 140 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 34.4 | 30.68 |
Overtime | 34.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 13 |
---|---|
PP Goal | 2 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 0 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
---|---|
PP Goal | 2 |
PK Attempt | 11 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 34.4 |
Shots Against | 29.4 |
Goals For | 3.4 |
Goals Against | 3.0 |
Hits | 21.8 |
Shots Blocked | 9.0 |
Pim | 4.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-08-12 | @ | Predators1,Jets4 | RECAP | ||
2023-08-13 | @ | Blues2,Jets4 | RECAP | ||
2023-08-15 | @ | Jets1,Predators3 | RECAP | ||
2023-08-17 | @ | Jets3,Stars5 | RECAP | ||
2023-08-19 | @ | Blackhawks4,Jets5 | RECAP | ||
2023-08-21 | @ | ||||
2023-08-23 | @ | ||||
2023-08-24 | @ | ||||
2023-08-26 | @ | ||||
2023-08-27 | @ | ||||
2023-08-28 | @ | ||||
2023-08-30 | @ | ||||
2023-09-01 | @ | ||||
2023-09-03 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
90,068,333$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Canada Life Center | |
City | Winnipeg | ||
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$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
4 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
90,068,333$ | 90,068,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 16 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | -525,583,532$ | -525,583,532$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo win 2023 | |||||
Adam Werner | Link | ||||
Aleksi Saarela | Link | ||||
Alexei Melnichuk | Link | ||||
Andrei Chibisov | Link | ||||
Andy Greene | Link | ||||
Anthony Bitetto | Link | ||||
Anthony Louis | |||||
Arvid Costmar | 2019 | 195 | |||
Beau Bennett | |||||
Ben Jones | Link | ||||
Bill Arnold | |||||
Brad Morrison | |||||
Brett Stapley | 2018 | 205 | |||
Cal O'Reilly | Link | ||||
Cedric Pare | 2017 | 168 | |||
Cole Moberg | 2019 | 187 | |||
Dalton Prout | Link | ||||
Denis Yann | |||||
Eamon McAdam | |||||
Emmitt Finnie | 2023 | 210 | |||
Filip Nordberg | 2022 | 67 | |||
German Rubtsov | Link | ||||
Gregory Hofmann | Link | ||||
Iiro Pakarinen | |||||
Jack Gorniak | 2018 | 143 | |||
Jacob Olofsson | 2018 | 50 | |||
Jaden Lindo | |||||
Jake Wise | 2018 | 63 | |||
Jani Nyman | 2022 | 61 | |||
Jayce Hawryluk | Link | ||||
Jaydon Dureau | 2020 | 153 | |||
Jedd Soleway | |||||
Jeremiah Addison | |||||
Joseph Gambardella | Link | ||||
Joshua Lopina | 2021 | 112 | |||
Kris Russell | Link | ||||
Kyle Rau | Link | ||||
Larry Keenan | 2023 | 125 | |||
Liam Arnsby | 2022 | 221 | |||
Logan Shaw | Link | ||||
Lukas Vejdemo | Link | ||||
Luke Henman | 2018 | 112 | |||
Marek Mazanec | Link | ||||
Markus Ruusu | |||||
Massimo Rizzo | 2019 | 211 | |||
Matt Calvert | Link | ||||
Matthew Seminoff | 2022 | 189 | |||
Max McCormick | Link | ||||
Maxim Groshev | 2020 | 91 | |||
Michal Teply | 2019 | 95 | |||
Miguel Fidler | |||||
Nick Sorensen | |||||
Nikita Nesterov | Link | ||||
Noah Laba | 2022 | 125 | |||
Noel Nordh | 2023 | 87 | |||
Oskar Pettersson | 2022 | 83 | |||
Quentin Musty | 2023 | 18 | |||
Quinton Burns | 2023 | 82 | |||
Raphael Bussières | |||||
Riley Damiani | Link | ||||
Rinat Valiev | Link | ||||
Roman Bychkov | 2019 | 149 | |||
Ryan Segalla | |||||
Ryan Tverberg | 2020 | 215 | |||
Ryder Donovan | 2019 | 118 | |||
Scott Kosmachuk | |||||
Scott Reedy | Link | ||||
Scott Wilson | Link | ||||
Simon Robertsson | 2021 | 65 | |||
Spencer Foo | |||||
Stephon Williams | |||||
Tomas Kubalik | |||||
Troy Grosenick | Link | ||||
Tyler Inamoto | 2017 | 143 | |||
Tyler Parsons | |||||
Valentin Nussbaumer | 2019 | 180 | |||
Vasili Ponomarev | 2020 | 51 | |||
Viktor Neuchev | 2022 | 86 | |||
Xavier Simoneau | 2021 | 223 |
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