

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW/RW | 100.00 | 78 | 34 | 86 | 82 | 88 | 89 | 86 | 78 | 63 | 71 | 89 | 74 | 83 | 78 | 79 | 0 | 82 | 32 | 6,723,000$/6yrs | |||||
![]() | C/LW/RW | 100.00 | 67 | 35 | 87 | 83 | 76 | 89 | 91 | 85 | 87 | 84 | 86 | 63 | 84 | 86 | 93 | 0 | 82 | 33 | 9,246,667$/3yrs | |||||
![]() | C | 100.00 | 58 | 36 | 94 | 75 | 79 | 91 | 93 | 78 | 94 | 80 | 78 | 85 | 73 | 83 | 90 | 0 | 81 | 32 | 7,187,500$/2yrs | |||||
![]() | LW/RW | 100.00 | 62 | 36 | 82 | 79 | 66 | 88 | 90 | 76 | 69 | 78 | 80 | 63 | 81 | 75 | 76 | 0 | 77 | 32 | 5,243,000$/3yrs | |||||
![]() | C/LW | 100.00 | 67 | 38 | 80 | 76 | 74 | 89 | 90 | 71 | 83 | 72 | 70 | 87 | 68 | 66 | 70 | 0 | 77 | 25 | 5,315,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 67 | 62 | 86 | 72 | 96 | 87 | 82 | 74 | 61 | 72 | 76 | 65 | 77 | 70 | 68 | 0 | 76 | 28 | 5,840,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 74 | 38 | 90 | 76 | 73 | 81 | 87 | 73 | 63 | 68 | 71 | 76 | 69 | 66 | 68 | 0 | 75 | 26 | 2,549,000$/5yrs | |||||
![]() | RW | 100.00 | 65 | 72 | 74 | 66 | 85 | 83 | 90 | 69 | 58 | 67 | 70 | 66 | 72 | 91 | 79 | 0 | 74 | 38 | 1,240,500$/2yrs | |||||
![]() | C | 100.00 | 81 | 37 | 84 | 62 | 74 | 81 | 87 | 63 | 81 | 61 | 62 | 79 | 58 | 73 | 72 | 0 | 72 | 32 | 2,400,000$/2yrs | |||||
![]() | C | 100.00 | 63 | 39 | 81 | 68 | 72 | 87 | 79 | 66 | 81 | 67 | 65 | 73 | 64 | 68 | 69 | 0 | 72 | 28 | 800,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 90 | 89 | 67 | 62 | 81 | 78 | 90 | 62 | 59 | 61 | 64 | 66 | 58 | 75 | 73 | 0 | 71 | 32 | 1,584,000$/5yrs | |||||
![]() | LW/RW | 100.00 | 76 | 35 | 83 | 64 | 66 | 82 | 86 | 64 | 57 | 62 | 66 | 61 | 65 | 64 | 69 | 0 | 69 | 24 | 825,000$/2yrs | |||||
![]() | D | 100.00 | 63 | 36 | 94 | 71 | 79 | 92 | 80 | 71 | 30 | 78 | 72 | 89 | 54 | 81 | 76 | 0 | 79 | 35 | 5,250,000$/3yrs | |||||
![]() | D | 100.00 | 71 | 36 | 95 | 71 | 81 | 93 | 89 | 67 | 30 | 75 | 61 | 92 | 53 | 82 | 73 | 0 | 78 | 33 | 6,407,000$/5yrs | |||||
![]() | D | 100.00 | 76 | 37 | 73 | 77 | 71 | 93 | 87 | 73 | 30 | 76 | 69 | 78 | 57 | 72 | 69 | 0 | 77 | 28 | 4,349,500$/2yrs | |||||
![]() | D | 100.00 | 88 | 60 | 74 | 67 | 89 | 90 | 86 | 63 | 30 | 75 | 60 | 87 | 52 | 66 | 65 | 0 | 77 | 26 | 4,541,100$/10yrs | |||||
![]() | D | 100.00 | 71 | 37 | 89 | 64 | 86 | 89 | 91 | 62 | 30 | 70 | 59 | 85 | 52 | 79 | 73 | 0 | 75 | 33 | 2,847,333$/3yrs | |||||
![]() | D | 100.00 | 87 | 74 | 77 | 63 | 82 | 88 | 71 | 62 | 30 | 67 | 58 | 79 | 49 | 84 | 74 | 0 | 73 | 35 | 1,200,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C/LW | 85.65 | 64 | 35 | 86 | 71 | 77 | 88 | 85 | 74 | 89 | 73 | 72 | 79 | 71 | 68 | 72 | 0 | 76 | 27 | 3,675,250$/4yrs | |||||
![]() | LW/RW | 100.00 | 73 | 34 | 92 | 73 | 69 | 84 | 87 | 68 | 63 | 67 | 71 | 82 | 68 | 70 | 69 | 0 | 75 | 27 | 3,905,000$/6yrs | |||||
![]() | D | 100.00 | 86 | 37 | 78 | 61 | 84 | 91 | 89 | 62 | 30 | 71 | 56 | 83 | 51 | 79 | 73 | 0 | 75 | 32 | 3,726,000$/4yrs | |||||
![]() | D | 100.00 | 69 | 38 | 84 | 71 | 77 | 86 | 87 | 70 | 30 | 71 | 60 | 62 | 51 | 63 | 65 | 0 | 72 | 23 | 908,628$/3yrs | |||||
TEAM AVERAGE | 99.32 | 73 | 44 | 83 | 71 | 78 | 87 | 87 | 70 | 57 | 71 | 69 | 76 | 64 | 75 | 73 | 0 | 76 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 36 | 100.00 | 89 | 92 | 86 | 82 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 77 | 83 | 0 | 88 | 29 | 6,189,666$/6yrs | |
![]() | 1 | 100.00 | 89 | 90 | 87 | 83 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 64 | 71 | 0 | 87 | 24 | 1,050,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 89 | 91 | 87 | 83 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 71 | 77 | 0 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Emily Castonguay | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 39 | 5 | 0$ |
General Manager | Eric Henault |
---|
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 | Ryan O'Reilly | ![]() | 90 | C | 7 | 4 | 5 | 9 | -1 | 2 | 0 | 1 | 19 | 7 | 14 | 21.05% | 2 | 20.94 | 0 | 3 | 3 | 0 | 0 | 0 | 11 | 0 | 0 | 54.63% | 0 | 0 | 1.29 | 0 | 0 | 1.06 | ||
2 | Jonathan Marchessault | ![]() | 18 | LW/RW | 7 | 3 | 3 | 6 | -1 | 10 | 0 | 7 | 16 | 11 | 15 | 18.75% | 1 | 21.52 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 1 | 0 | 50.00% | 0 | 0 | 0.86 | 0 | 0 | 0.58 | ||
3 | Matt Dumba | ![]() | 24 | D | 7 | 1 | 4 | 5 | -4 | 17 | 5 | 19 | 10 | 4 | 7 | 10.00% | 5 | 24.00 | 1 | 0 | 1 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0.71 | 0 | 0 | 0.07 | ||
4 | Ryan McDonagh | ![]() | 27 | D | 7 | 1 | 3 | 4 | -3 | 6 | 0 | 7 | 22 | 3 | 5 | 4.55% | 9 | 25.00 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.39 | ||
5 | Anthony Cirelli | ![]() | 71 | C/LW | 6 | 2 | 2 | 4 | -2 | 6 | 0 | 15 | 25 | 8 | 13 | 8.00% | 2 | 21.44 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 1 | 0 | 43.95% | 0 | 0 | 0.67 | 0 | 0 | 0.53 | ||
6 | Marco Scandella | ![]() | 6 | D | 7 | 0 | 4 | 4 | 4 | 2 | 0 | 4 | 1 | 2 | 5 | 0.00% | 12 | 13.79 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.64 | ||
7 | Steven Stamkos | ![]() | 91 | C/LW/RW | 7 | 2 | 2 | 4 | -3 | 2 | 0 | 7 | 22 | 10 | 13 | 9.09% | 0 | 19.30 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 0 | 0 | 0.57 | 0 | 0 | 0.52 | ||
8 | Erik Cernak | ![]() | 81 | D | 7 | 1 | 2 | 3 | -3 | 5 | 5 | 24 | 10 | 4 | 6 | 10.00% | 12 | 23.51 | 1 | 2 | 3 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.32 | ||
9 | Mathieu Joseph | ![]() | 21 | LW/RW | 7 | 2 | 1 | 3 | -1 | 2 | 0 | 10 | 15 | 1 | 11 | 13.33% | 0 | 14.36 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 0 | 0 | 57.14% | 0 | 0 | 0.43 | 0 | 0 | 0.43 | ||
10 | Anthony Mantha | ![]() | 39 | LW/RW | 7 | 2 | 0 | 2 | -1 | 6 | 0 | 9 | 8 | 3 | 4 | 25.00% | 0 | 15.05 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 62.50% | 0 | 0 | 0.29 | 0 | 0 | 0.14 | ||
11 | Alec Martinez | ![]() | 23 | D | 7 | 0 | 2 | 2 | -1 | 0 | 0 | 1 | 5 | 2 | 3 | 0.00% | 7 | 17.36 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.23 | ||
12 | Ryan Carpenter | ![]() | 22 | C | 7 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 6 | 5 | 6 | 0.00% | 0 | 6.89 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 59.52% | 0 | 0 | 0.29 | 0 | 0 | 0.33 | ||
13 | Laurent Dauphin | ![]() | 26 | C | 7 | 0 | 2 | 2 | 0 | 2 | 0 | 2 | 7 | 4 | 3 | 0.00% | 1 | 8.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.05% | 0 | 0 | 0.29 | 0 | 0 | 0.21 | ||
14 | Chris Kreider | ![]() | 20 | LW/RW | 7 | 0 | 2 | 2 | -2 | 10 | 0 | 26 | 20 | 9 | 16 | 0.00% | 2 | 22.25 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 48.78% | 0 | 0 | 0.29 | 0 | 0 | 0.21 | ||
15 | Nicolas Deslauriers | ![]() | 44 | LW/RW | 7 | 2 | 0 | 2 | 1 | 4 | 0 | 8 | 4 | 1 | 7 | 50.00% | 1 | 6.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 100.00% | 0 | 0 | 0.29 | 0 | 0 | 0.27 | ||
16 | Corey Perry | ![]() | 10 | RW | 7 | 0 | 1 | 1 | 0 | 5 | 5 | 6 | 8 | 3 | 5 | 0.00% | 0 | 10.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.14 | 0 | 0 | 0.08 | ||
17 | Kevan Miller | ![]() | 86 | D | 7 | 0 | 1 | 1 | 1 | 10 | 0 | 16 | 14 | 2 | 5 | 0.00% | 3 | 15.52 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.13 | ||
18 | David Savard | ![]() | 58 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 5.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | ||
19 | Christian Dvorak | ![]() | 28 | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 5.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | -0.26 | ||
20 | Rafael Harvey-Pinard | ![]() | 49 | LW/RW | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 1 | 6.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | ||
Team Total or Average | 126 | 20 | 36 | 56 | -15 | 89 | 15 | 162 | 215 | 79 | 140 | 9.30% | 60 | 16.14 | 4 | 7 | 11 | 200 | 0 | 0 | 0 | 223 | 3 | 1 | 50.85% | 588 | 0 | 0 | 0 | 0 | 0.55 | 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 | Jeremy Swayman | ![]() | 4 | 2 | 2 | 0 | 0.901 | 3.01 | 239 | 0 | 0 | 12 | 121 | 0 | 0 | 0 | 0.000 | 0 | 4 | 3 | 0 | 0 | 0 |
2 | John Gibson | ![]() | 3 | 1 | 2 | 0 | 0.841 | 4.33 | 180 | 0 | 0 | 13 | 82 | 0 | 1 | 0 | 0.000 | 0 | 3 | 4 | 0 | 0 | 0 |
Team Total or Average | 7 | 3 | 4 | 0 | 0.877 | 3.58 | 419 | 0 | 0 | 25 | 203 | 0 | 1 | 0 | 0.000 | 0 | 7 | 7 | 0 | 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 |
# | 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 | ![]() | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 240 |
Neutral Zone Start | 113 |
Defensive Zone Start | 235 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 299 |
Faceoffs Lost | 289 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 19.4 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 24 |
---|---|
PP Goal | 4 |
PK Attempt | 34 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 30.7 |
Shots Against | 29.0 |
Goals For | 2.9 |
Goals Against | 3.6 |
Hits | 23.1 |
Shots Blocked | 8.6 |
Pim | 12.7 |
![]() | |
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 | 23 |
Contracts | 51/50 |
LTIR Players | 1 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez ![]() | D | 35 | 5,250,000$ | 2,335,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Anthony Cirelli ![]() | C/LW | 25 | 5,315,000$ | 5,830,000$ | 4,800,000$ | ![]() | |||||
Anthony Mantha ![]() | LW/RW | 28 | 5,840,000$ | 6,120,000$ | 5,700,000$ | 5,700,000$ | UFA | ||||
Artturi Lehkonen ![]() | LW/RW | 27 | 3,905,000$ | 930,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |
Chris Kreider ![]() | LW/RW | 32 | 6,723,000$ | 7,838,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |
Christian Dvorak ![]() ![]() | C/LW | 27 | 3,675,250$ | 1,351,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | UFA | |||
Corey Perry ![]() | RW | 38 | 1,240,500$ | 1,481,000$ | 1,000,000$ | UFA | |||||
David Savard ![]() | D | 32 | 3,726,000$ | 4,404,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Erik Cernak ![]() | D | 26 | 4,541,100$ | 861,000$ | 2,950,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ |
Jeremy Swayman ![]() | G | 24 | 1,050,000$ | 1,050,000$ | 1,050,000$ | ![]() | |||||
John Gibson ![]() | G | 29 | 6,189,666$ | 5,138,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | |
Jonathan Marchessault ![]() | LW/RW | 32 | 5,243,000$ | 5,729,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Kevan Miller ![]() | D | 35 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Laurent Dauphin ![]() | C | 28 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Marco Scandella ![]() | D | 33 | 2,847,333$ | 1,992,000$ | 3,275,000$ | 3,275,000$ | UFA | ||||
Mathieu Joseph ![]() | LW/RW | 26 | 2,549,000$ | 945,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | UFA | ||
Matt Dumba ![]() | D | 28 | 4,349,500$ | 2,699,000$ | 6,000,000$ | UFA | |||||
Nicolas Deslauriers ![]() | LW/RW | 32 | 1,584,000$ | 920,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||
Pierre-Olivier Joseph ![]() | D | 23 | 908,628$ | 1,075,883$ | 825,000$ | 825,000$ | ![]() | ||||
Rafael Harvey-Pinard ![]() | LW/RW | 24 | 825,000$ | 825,000$ | 825,000$ | ![]() | |||||
Ryan Carpenter ![]() | C | 32 | 2,400,000$ | 4,050,000$ | 750,000$ | UFA | |||||
Ryan McDonagh ![]() | D | 33 | 6,407,000$ | 5,035,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||
Ryan O'Reilly ![]() | C | 32 | 7,187,500$ | 6,875,000$ | 7,500,000$ | UFA | |||||
Steven Stamkos ![]() | C/LW/RW | 33 | 9,246,667$ | 10,740,000$ | 8,500,000$ | 8,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Mascherin ![]() | LW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Alex Limoges ![]() | LW | 25 | 1,140,000$ | 1,500,000$ | 780,000$ | ![]() | |||||
Andreas Borgman ![]() | D | 27 | 750,000$ | 700,000$ | UFA | ||||||
Bokondji Imama ![]() | LW | 26 | 980,500$ | 1,211,000$ | 750,000$ | UFA | |||||
Brady Keeper ![]() | D | 26 | 858,250$ | 954,000$ | 762,500$ | UFA | |||||
Brian Lashoff ![]() | D | 32 | 977,000$ | 977,000$ | UFA | ||||||
Cedric Paquette ![]() | C | 29 | 4,332,000$ | 4,332,000$ | UFA | ||||||
Dominic Turgeon ![]() | C | 27 | 999,000$ | 999,000$ | UFA | ||||||
Erik Kallgren ![]() | G | 26 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Garrett Pilon ![]() | C | 25 | 869,500$ | 989,000$ | 750,000$ | ![]() | |||||
Greg Pateryn ![]() | D | 32 | 750,000$ | 750,000$ | UFA | ||||||
Isaak Phillips ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Ivan Chekhovich ![]() | LW/RW | 24 | 903,333$ | 903,333$ | ![]() | ||||||
Jack Dugan ![]() | LW | 25 | 1,156,250$ | 1,562,500$ | 750,000$ | ![]() | |||||
Joel Hanley ![]() | D | 31 | 950,000$ | 1,150,000$ | 750,000$ | UFA | |||||
Lukas Parik ![]() | G | 22 | 750,000$ | 750,000$ | RFA | ||||||
Marian Studenic ![]() | LW/RW | 24 | 953,125$ | 1,156,250$ | 750,000$ | ![]() | |||||
Mark Kastelic ![]() | C | 24 | 821,667$ | 821,667$ | 821,667$ | ![]() | |||||
Nathan Legare ![]() | RW | 22 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | ![]() | ||||
Nick Seeler ![]() | D | 29 | 942,667$ | 1,278,000$ | 775,000$ | 775,000$ | UFA | ||||
Nikolas Brouillard ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Ole Bjorgvik-Holm ![]() | D | 21 | 901,875$ | 917,500$ | 896,667$ | 896,667$ | 896,667$ | ![]() | |||
Otto Somppi ![]() | C | 25 | 1,049,000$ | 1,049,000$ | ![]() | ||||||
Steven Lorentz ![]() | C/LW/RW | 27 | 1,099,667$ | 1,199,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||
Tyler Angle ![]() | LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Vasily Demchenko ![]() | G | 29 | 750,000$ | 750,000$ | UFA | ||||||
Yanni Kaldis ![]() | D | 27 | 750,000$ | 750,000$ | UFA |
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 |
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1 | ![]() | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 25 | -5 | 6 | 0.429 | 20 | 36 | 56 | 0 | 0 | 5 | 9 | 6 | 0 | 215 | 70 | 66 | 79 | 0 | 203 | 60 | 89 | 162 | 24 | 4 | 16.67% | 34 | 6 | 82.35% | 0 | 118 | 240 | 49.17% | 126 | 235 | 53.62% | 55 | 113 | 48.67% | 161 | 109 | 169 | 53 | 88 | 43 | 45.7% | 9.3% | 87.7% | 97.0 | FUN |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 240 |
Neutral Zone Start | 113 |
Defensive Zone Start | 235 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 299 |
Faceoffs Lost | 289 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 19.4 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 24 |
---|---|
PP Goal | 4 |
PK Attempt | 34 |
PK Goal Against | 6 |
Home | |
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Shots For | 30.7 |
Shots Against | 29.0 |
Goals For | 2.9 |
Goals Against | 3.6 |
Hits | 23.1 |
Shots Blocked | 8.6 |
Pim | 12.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Apr 19 | ![]() | @ | ![]() | CLB5,PIT3 | RECAP | |||||||||
Fri, Apr 21 | ![]() | @ | ![]() | CLB1,PIT4 | RECAP | |||||||||
Sun, Apr 23 | ![]() | @ | ![]() | PIT6,CLB2 | RECAP | |||||||||
Tue, Apr 25 | ![]() | @ | ![]() | PIT4,CLB2 | RECAP | |||||||||
Thu, Apr 27 | ![]() | @ | ![]() | CLB4,PIT2 | RECAP | |||||||||
Sat, Apr 29 | ![]() | @ | ![]() | PIT2,CLB3 | RECAP | |||||||||
Mon, May 1 | ![]() | @ | ![]() | CLB3,PIT4 | RECAP |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,273,883$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nationwide Arena | |
City | Columbus | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 87$ | 55$ | 34$ | 21$ | 163$ |
Attendance | 15000 | 12000 | 9000 | 12000 | 3000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 17000 - 100.00% | 1,495,960$ | 4,487,880$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,273,883$ | 93,003,144$ | 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$ | 7 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 62,919,862$ | 62,919,862$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | ![]() | ![]() | ![]() ![]() | ![]() ![]() ![]() | ![]() ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() ![]() |
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 |
---|---|---|---|---|---|
Alex Laferriere | ![]() | 2021 | 46 | Link | |
Alexis Gravel | ![]() | 2019 | 100 | Link | |
Arseni Sergeev | ![]() | 2022 | 130 | Link | |
Brady Gilmour | ![]() | 2018 | 181 | Link | |
Brandon Saigeon | ![]() | 2019 | 89 | Link | |
Brendan De Jong | ![]() | 2018 | 160 | Link | |
Brett Berard | ![]() | 2021 | 115 | Link | |
David Noel | ![]() | 2018 | 118 | Link | |
Dmitry Voronkov | ![]() | 2020 | 86 | Link | |
Jacob Paquette | ![]() | 2018 | 197 | Link | |
Jocktan Chainey | ![]() | 2018 | 87 | Link | |
Jordan Hollett | ![]() | 2018 | 190 | Link | |
Justin Robidas | ![]() | 2022 | 86 | Link | |
Logan Cockerill | ![]() | 2018 | 212 | Link | |
Manix Landry | ![]() | 2022 | 149 | Link | |
Matej Blumel | ![]() | 2020 | 132 | Link | |
Matt Brassard | ![]() | 2018 | 95 | Link | |
Mikhail Shalagin | ![]() | 2020 | 175 | Link | |
Milos Roman | ![]() | 2019 | 124 | Link | |
Olivier Nadeau | ![]() | 2022 | 56 | Link | |
Owen Lindmark | ![]() | 2020 | 174 | Link | |
Pavel Koltygin | ![]() | 2018 | 74 | Link | |
Pavel Novak | ![]() | 2021 | 148 | Link | |
Radim Salda | ![]() | 2019 | 163 | Link | |
Semyon Kizimov | ![]() | 2019 | 200 | Link | |
Shawn Boudrias | ![]() | 2019 | 126 | Link | |
Skyler Brind'Amour | ![]() | 2018 | 194 | Link | |
Valentin Nussbaumer | ![]() | 2020 | 206 | Link | |
Ville Koivunen | ![]() | 2022 | 41 | Link | |
Vladislav Yeryomenko | ![]() | 2019 | 169 | Link | |
Xavier Bouchard | ![]() | 2019 | 132 | Link | |
Zachary Bouthillier | ![]() | 2019 | 191 | Link | |
Zachary L'Heureux | ![]() | 2022 | 28 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | ![]() ![]() | ![]() ![]() ![]() | ![]() ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() ![]() |
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 |
---|---|---|---|---|---|
Alex Laferriere | ![]() | 2021 | 46 | Link | |
Alexis Gravel | ![]() | 2019 | 100 | Link | |
Arseni Sergeev | ![]() | 2022 | 130 | Link | |
Brady Gilmour | ![]() | 2018 | 181 | Link | |
Brandon Saigeon | ![]() | 2019 | 89 | Link | |
Brendan De Jong | ![]() | 2018 | 160 | Link | |
Brett Berard | ![]() | 2021 | 115 | Link | |
David Noel | ![]() | 2018 | 118 | Link | |
Dmitry Voronkov | ![]() | 2020 | 86 | Link | |
Jacob Paquette | ![]() | 2018 | 197 | Link | |
Jocktan Chainey | ![]() | 2018 | 87 | Link | |
Jordan Hollett | ![]() | 2018 | 190 | Link | |
Justin Robidas | ![]() | 2022 | 86 | Link | |
Logan Cockerill | ![]() | 2018 | 212 | Link | |
Manix Landry | ![]() | 2022 | 149 | Link | |
Matej Blumel | ![]() | 2020 | 132 | Link | |
Matt Brassard | ![]() | 2018 | 95 | Link | |
Mikhail Shalagin | ![]() | 2020 | 175 | Link | |
Milos Roman | ![]() | 2019 | 124 | Link | |
Olivier Nadeau | ![]() | 2022 | 56 | Link | |
Owen Lindmark | ![]() | 2020 | 174 | Link | |
Pavel Koltygin | ![]() | 2018 | 74 | Link | |
Pavel Novak | ![]() | 2021 | 148 | Link | |
Radim Salda | ![]() | 2019 | 163 | Link | |
Semyon Kizimov | ![]() | 2019 | 200 | Link | |
Shawn Boudrias | ![]() | 2019 | 126 | Link | |
Skyler Brind'Amour | ![]() | 2018 | 194 | Link | |
Valentin Nussbaumer | ![]() | 2020 | 206 | Link | |
Ville Koivunen | ![]() | 2022 | 41 | Link | |
Vladislav Yeryomenko | ![]() | 2019 | 169 | Link | |
Xavier Bouchard | ![]() | 2019 | 132 | Link | |
Zachary Bouthillier | ![]() | 2019 | 191 | Link | |
Zachary L'Heureux | ![]() | 2022 | 28 | Link |
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