
































Last 10 Games | ||
W | L | OTL |
5 | 3 | 2 |
New York Rangers
| |||
![]() | |||
GM: Jean-Michel Fortin | Head Coach: Andrew Brunette | ||
Captain: Nicklas Backstrom | Team Morale:
Good |
||
Division: Metropolitan | Conference: Eastern Conference | ||
Arena: Madison Square Garden | Capacity: 18,006 | ||
Team Popularity:
Low |
Avg. Attendance: 17,368 | ||
Last File: 4 décembre 2023 at 14:16 | Current Lineup: Complete | ||
Highlights: 2 Playoff Appearances | All-Time Record: 184W - 164L - 54OTL |
# | Player | POS | CON | HT | WT | Age | BIRTHDATE | COUNTRY | Draft | Contract | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
28 | ![]() | C/RW | 99% | 5' 11" | 190 | 35 | January 12, 1988 | 2006 | 7,000,000$/2yrs | |||||||||||||||||
- | ![]() | C/LW | 100% | 6' 2" | 203 | 30 | June 15, 1993 | 2011 | 4,125,000$/3yrs | |||||||||||||||||
95 | ![]() | C/RW | 100% | 5' 11" | 185 | 28 | February 06, 1995 | - | 775,000$/2yrs | |||||||||||||||||
57 | ![]() | LW/RW | 100% | 6' 1" | 196 | 35 | May 28, 1988 | 2007 | 4,750,000$/1yrs | |||||||||||||||||
20 | ![]() | C | 100% | 6' 2" | 205 | 34 | May 08, 1989 | 2007 | 2,450,000$/2yrs | |||||||||||||||||
13 | ![]() | C/LW | 100% | 6' 1" | 195 | 35 | April 20, 1988 | 2007 | 800,000$/1yrs | |||||||||||||||||
18 | ![]() | RW | 100% | 6' 2" | 200 | 32 | November 01, 1991 | 2010 | 775,000$/1yrs | |||||||||||||||||
41 | ![]() | C/W | 100% | 5' 11" | 190 | 34 | April 28, 1989 | - | 800,000$/2yrs | |||||||||||||||||
81 | ![]() | LW | 100% | 6' 3" | 206 | 27 | May 15, 1996 | 2014 | 825,000$/1yrs | |||||||||||||||||
10 | ![]() | LW | 99% | 6' 0" | 173 | 32 | October 30, 1991 | - | 11,500,000$/3yrs | |||||||||||||||||
34 | ![]() | C | 99% | 6' 3" | 208 | 26 | September 17, 1997 | 2016 | 11,634,000$/1yrs | |||||||||||||||||
- | ![]() | C/LW | 100% | 6' 2" | 203 | 22 | February 01, 2001 | 2019 | 850,000$/2yrs | |||||||||||||||||
8 | ![]() | D | 100% | 6' 2" | 193 | 29 | February 27, 1994 | 2012 | 4,875,000$/3yrs | |||||||||||||||||
58 | ![]() | D | 100% | 6' 1" | 235 | 33 | October 22, 1990 | 2009 | 3,500,000$/2yrs | |||||||||||||||||
5 | ![]() | D | 100% | 6' 6" | 231 | 28 | January 12, 1995 | 2013 | 787,500$/2yrs | |||||||||||||||||
55 | ![]() | D | 100% | 6' 0" | 190 | 25 | February 11, 1998 | 2016 | 3,000,000$/1yrs | |||||||||||||||||
43 | ![]() | D | 100% | 6' 1" | 201 | 27 | February 28, 1996 | - | 775,000$/1yrs | |||||||||||||||||
4 | ![]() | D | 100% | 6' 1" | 202 | 27 | October 27, 1996 | 2015 | 4,550,000$/3yrs | |||||||||||||||||
Scratches | ||||||||||||||||||||||||||
19 | ![]() | C | 0% | 6' 1" | 202 | 36 | November 23, 1987 | 2006 | 9,200,000$/2yrs | |||||||||||||||||
19 | ![]() | RW | 94% | 6' 2" | 201 | 25 | December 11, 1997 | 2016 | 9,500,000$/7yrs |
# | Goalie | Pos | Condition | HT | WT | Age | BIRTHDATE | COUNTRY | Draft | Contract | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35 | ![]() | G | 97% | 6' 3" | 214 | 26 | February 22, 1997 | 2015 | 3,550,000$/1yrs | |||||||||||
36 | ![]() | G | 100% | 6' 4" | 205 | 26 | February 25, 1997 | - | 766,667$/2yrs | |||||||||||
Scratches |
Players Information | |||||||||
Total Pro Players | AVG Age | AVG Height | AVG Weight | AVG Contract | AVG Salary | ||||
22 | 29.6 | 73.55 inches | 201.27 lbs | 2.05 | 3,945,295$ |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Brunette | 65 | 80 | 82 | 78 | 60 | 55 | 1 | CAN | 49 | 3 | 2,150,000$ |
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 | Auston Matthews | ![]() | 34 | C | 23 | 20 | 20 | 40 | 17 | 12 | 0 | 22 | 123 | 40 | 95 | 16.26% | 7 | 20.13 | 3 | 6 | 9 | 0 | 0 | 0 | 4 | 5 | 0 | 54.29% | 0 | 1 | 1.74 | 0 | 1 | 1.90 | ||
2 | Artemi Panarin | ![]() | 10 | LW | 23 | 8 | 21 | 29 | 17 | 12 | 0 | 14 | 82 | 18 | 57 | 9.76% | 1 | 19.75 | 1 | 5 | 6 | 0 | 0 | 0 | 1 | 3 | 1 | 41.67% | 0 | 0 | 1.26 | 0 | 1 | 1.34 | ||
3 | Matthew Tkachuk | ![]() | 19 | RW | 23 | 10 | 16 | 26 | 17 | 8 | 0 | 57 | 89 | 24 | 70 | 11.24% | 2 | 19.66 | 3 | 2 | 5 | 0 | 0 | 0 | 4 | 2 | 0 | 55.56% | 0 | 0 | 1.13 | 0 | 1 | 1.39 | ||
4 | Boone Jenner | ![]() | 0 | C/LW | 24 | 9 | 11 | 20 | -8 | 6 | 0 | 44 | 68 | 26 | 47 | 13.24% | 7 | 19.11 | 1 | 4 | 5 | 0 | 0 | 0 | 73 | 1 | 1 | 57.95% | 0 | 1 | 0.83 | 0 | 0 | 0.74 | ||
5 | David Perron | ![]() | 57 | LW/RW | 23 | 10 | 10 | 20 | 4 | 4 | 0 | 36 | 72 | 20 | 49 | 13.89% | 0 | 17.27 | 2 | 2 | 4 | 1 | 0 | 1 | 3 | 0 | 0 | 48.48% | 0 | 0 | 0.87 | 0 | 1 | 0.94 | ||
6 | Claude Giroux | ![]() | 28 | C/RW | 23 | 6 | 11 | 17 | 0 | 20 | 0 | 27 | 87 | 27 | 86 | 6.90% | 6 | 20.13 | 1 | 6 | 7 | 0 | 0 | 0 | 50 | 2 | 0 | 60.95% | 0 | 0 | 0.74 | 0 | 1 | 0.77 | ||
7 | Rasmus Andersson | ![]() | 4 | D | 23 | 4 | 8 | 12 | 7 | 8 | 0 | 41 | 29 | 15 | 24 | 13.79% | 26 | 22.66 | 2 | 2 | 4 | 0 | 0 | 0 | 29 | 1 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.62 | ||
8 | Lars Eller | ![]() | 20 | C | 23 | 6 | 5 | 11 | 1 | 2 | 0 | 15 | 36 | 8 | 31 | 16.67% | 3 | 14.36 | 0 | 2 | 2 | 0 | 0 | 0 | 80 | 0 | 0 | 51.38% | 0 | 0 | 0.48 | 0 | 0 | 0.47 | ||
9 | Mike Matheson | ![]() | 8 | D | 23 | 0 | 10 | 10 | 4 | 8 | 0 | 51 | 37 | 6 | 17 | 0.00% | 27 | 23.40 | 0 | 2 | 2 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.52 | ||
10 | Juuso Parssinen | ![]() | 0 | C/LW | 24 | 6 | 4 | 10 | 6 | 4 | 0 | 49 | 34 | 11 | 25 | 17.65% | 2 | 16.68 | 3 | 0 | 3 | 0 | 0 | 0 | 25 | 1 | 0 | 51.72% | 0 | 0 | 0.42 | 0 | 0 | 0.53 | ||
11 | Ryan Lindgren | ![]() | 55 | D | 23 | 2 | 7 | 9 | 11 | 23 | 5 | 67 | 21 | 8 | 11 | 9.52% | 28 | 20.73 | 1 | 2 | 3 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0.39 | 0 | 0 | 0.44 | ||
12 | Nick Bonino | ![]() | 13 | C/LW | 23 | 2 | 6 | 8 | 0 | 0 | 0 | 9 | 42 | 11 | 24 | 4.76% | 3 | 9.60 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 47.06% | 0 | 0 | 0.35 | 0 | 0 | 0.40 | ||
13 | David Savard | ![]() | 58 | D | 23 | 0 | 6 | 6 | 7 | 22 | 0 | 58 | 8 | 2 | 15 | 0.00% | 27 | 19.86 | 0 | 0 | 0 | 0 | 1 | 1 | 58 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.25 | ||
14 | Nicklas Backstrom | ![]() | 19 | C | 9 | 1 | 4 | 5 | 6 | 0 | 0 | 1 | 20 | 9 | 16 | 5.00% | 1 | 17.49 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 51.71% | 0 | 0 | 0.56 | 0 | 0 | 0.77 | ||
15 | Tyler Pitlick | ![]() | 18 | RW | 23 | 0 | 5 | 5 | 0 | 4 | 0 | 11 | 23 | 9 | 18 | 0.00% | 2 | 9.79 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 35.00% | 0 | 0 | 0.22 | 0 | 0 | 0.21 | ||
16 | Luke Glendening | ![]() | 41 | C/LW/RW | 23 | 3 | 1 | 4 | -4 | 12 | 0 | 18 | 22 | 5 | 9 | 13.64% | 2 | 9.52 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 59.90% | 0 | 0 | 0.17 | 0 | 0 | 0.06 | ||
17 | Darren Raddysh | ![]() | 43 | D | 22 | 0 | 3 | 3 | 5 | 10 | 0 | 34 | 1 | 2 | 4 | 0.00% | 17 | 16.78 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.17 | ||
18 | Ben Harpur | ![]() | 5 | D | 23 | 0 | 2 | 2 | 4 | 14 | 0 | 47 | 6 | 3 | 3 | 0.00% | 19 | 16.25 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.12 | ||
19 | Dakota Joshua | ![]() | 81 | LW | 19 | 1 | 1 | 2 | -1 | 4 | 0 | 16 | 24 | 6 | 23 | 4.17% | 2 | 7.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 0 | 0 | 0.11 | 0 | 0 | 0.16 | ||
20 | Vinni Lettieri | ![]() | 95 | C/RW | 10 | 0 | 1 | 1 | -3 | 4 | 0 | 2 | 5 | 1 | 2 | 0.00% | 1 | 6.96 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 60.00% | 0 | 0 | 0.10 | 0 | 0 | -0.06 | ||
Team Total or Average | 430 | 88 | 152 | 240 | 90 | 177 | 5 | 619 | 829 | 251 | 626 | 10.62% | 183 | 16.71 | 17 | 34 | 51 | 648 | 1 | 1 | 2 | 572 | 15 | 2 | 54.88% | 2367 | 0 | 0 | 0 | 2 | 0.67 | 0 | 5 |
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 | PS % | ST | BG | S1 | S2 | S3 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ilya Samsonov | ![]() | 17 | 11 | 5 | 1 | 0.924 | 2.22 | 1001 | 0 | 3 | 37 | 487 | 0 | 0 | 0.800 | 16 | 7 | 1 | 1 | 1 | |
2 | Logan Thompson | ![]() | 7 | 3 | 1 | 2 | 0.915 | 3.11 | 386 | 0 | 0 | 20 | 236 | 0 | 0 | 0.000 | 7 | 16 | 2 | 0 | 0 | |
Team Total or Average | 24 | 14 | 6 | 3 | 0.921 | 2.47 | 1387 | 0 | 3 | 57 | 723 | 0 | 0 | 0 | 0.800 | 5 | 23 | 23 | 3 | 1 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 37 | 10 | 13 | 14 | 0 | 37 | 6 | 4 | 21 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 23 | 15 | 23 | 6 | 13 | 6 | 33.3% | 13.5% | 83.8% | 97.3 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 33 | 11 | 8 | 14 | 0 | 33 | 8 | 8 | 31 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 24 | 16 | 23 | 7 | 11 | 6 | 83.3% | 15.2% | 90.9% | 106.1 | FUN |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 36 | 15 | 9 | 12 | 0 | 21 | 7 | 10 | 26 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 24 | 17 | 24 | 7 | 11 | 5 | 0.0% | 5.6% | 95.2% | 100.8 | DULL |
4 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 5 | 5 | 3 | 0.750 | 10 | 19 | 29 | 0 | 1 | 5 | 3 | 2 | 0 | 84 | 30 | 25 | 20 | 14 | 61 | 15 | 14 | 38 | 6 | 3 | 50.00% | 6 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 52 | 39 | 46 | 14 | 25 | 13 | 58.3% | 11.9% | 91.8% | 103.7 | LUCKY |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 7 | 11 | 15 | 0 | 34 | 4 | 6 | 35 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 23 | 15 | 23 | 7 | 13 | 6 | 0.0% | 3.0% | 94.1% | 97.1 | DULL |
6 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 2 | 8 | 5 | 2 | 48 | 10 | 12 | 21 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 19 | 13 | 31 | 7 | 11 | 5 | 33.3% | 5.9% | 95.8% | 101.7 | DULL |
7 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 11 | 7 | 12 | 2 | 40 | 15 | 6 | 27 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 21 | 15 | 28 | 7 | 13 | 6 | 50.0% | 6.3% | 92.5% | 98.8 | DULL |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 4 | 2 | 2 | 0 | 68 | 19 | 19 | 30 | 0 | 44 | 11 | 19 | 47 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 50 | 37 | 44 | 13 | 24 | 12 | 80.0% | 11.8% | 95.5% | 107.2 | LUCKY |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 10 | 5 | 11 | 0 | 29 | 10 | 6 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 22 | 15 | 25 | 7 | 12 | 5 | 0.0% | 0.0% | 86.2% | 86.2 | Unlucky |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 11 | 7 | 6 | 0 | 26 | 1 | 8 | 25 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 20 | 13 | 25 | 7 | 13 | 5 | 0.0% | 4.2% | 84.6% | 88.8 | Unlucky |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 39 | 11 | 20 | 8 | 0 | 22 | 8 | 4 | 18 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 25 | 18 | 22 | 7 | 12 | 5 | 66.7% | 10.3% | 90.9% | 101.2 | FUN |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 27 | 10 | 9 | 8 | 0 | 42 | 14 | 6 | 23 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 23 | 16 | 24 | 6 | 12 | 5 | 33.3% | 11.1% | 88.1% | 99.2 | FUN |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 6 | 4 | 0 | 0 | 70 | 27 | 23 | 20 | 0 | 72 | 20 | 22 | 64 | 7 | 1 | 14.29% | 10 | 3 | 70.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 49 | 34 | 45 | 14 | 25 | 12 | 90.0% | 14.3% | 94.4% | 108.7 | LUCKY |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 28 | 10 | 13 | 5 | 0 | 32 | 10 | 8 | 17 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 27 | 20 | 20 | 6 | 11 | 6 | 75.0% | 10.7% | 96.9% | 107.6 | LUCKY |
15 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 3 | 2 | 1 | 0 | 80 | 24 | 26 | 30 | 0 | 54 | 6 | 18 | 45 | 9 | 1 | 11.11% | 8 | 2 | 75.00% | 1 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 52 | 38 | 42 | 14 | 25 | 12 | 62.5% | 7.5% | 90.7% | 98.2 | Unlucky |
16 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 1 | 3 | 2 | 0 | 63 | 14 | 25 | 24 | 0 | 56 | 20 | 12 | 51 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 48 | 33 | 45 | 14 | 26 | 13 | 66.7% | 9.5% | 94.6% | 104.2 | LUCKY |
17 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 2 | 0 | 42 | 11 | 14 | 17 | 0 | 39 | 6 | 6 | 38 | 5 | 2 | 40.00% | 3 | 2 | 33.33% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 26 | 20 | 20 | 6 | 12 | 6 | 66.7% | 14.3% | 89.7% | 104.0 | FUN |
18 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 28 | 9 | 11 | 8 | 0 | 33 | 7 | 4 | 19 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 22 | 16 | 25 | 7 | 11 | 5 | 66.7% | 21.4% | 93.9% | 115.4 | LUCKY |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 8 | 0.667 | 18 | 29 | 47 | 0 | 0 | 10 | 7 | 1 | 0 | 202 | 71 | 70 | 61 | 0 | 175 | 40 | 50 | 168 | 25 | 5 | 20.00% | 22 | 3 | 86.36% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 143 | 99 | 141 | 44 | 74 | 36 | 56.5% | 8.9% | 92.6% | 101.5 | Unlucky | |
_Vs Conference | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 37 | 24 | 13 | 16 | 0.727 | 37 | 62 | 99 | 0 | 2 | 17 | 14 | 6 | 0 | 370 | 114 | 127 | 129 | 0 | 312 | 77 | 85 | 287 | 35 | 7 | 20.00% | 34 | 3 | 91.18% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 266 | 186 | 254 | 77 | 139 | 68 | 58.8% | 10.0% | 92.3% | 102.3 | LUCKY | |
_Since Last GM Reset | 23 | 14 | 6 | 0 | 0 | 2 | 0 | 1 | 79 | 58 | 21 | 31 | 0.674 | 79 | 139 | 218 | 0 | 3 | 36 | 28 | 15 | 0 | 767 | 242 | 253 | 259 | 18 | 723 | 178 | 173 | 573 | 72 | 16 | 22.22% | 71 | 11 | 84.51% | 1 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 557 | 397 | 545 | 162 | 287 | 142 | 57.3% | 10.3% | 92.0% | 102.3 | LUCKY | |
Total | 23 | 14 | 6 | 0 | 0 | 2 | 0 | 1 | 79 | 58 | 21 | 31 | 0.674 | 79 | 139 | 218 | 0 | 3 | 36 | 28 | 15 | 0 | 767 | 242 | 253 | 259 | 18 | 723 | 178 | 173 | 573 | 72 | 16 | 22.22% | 71 | 11 | 84.51% | 1 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 557 | 397 | 545 | 162 | 287 | 142 | 57.3% | 10.3% | 92.0% | 102.3 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 867 |
Neutral Zone Start | 378 |
Defensive Zone Start | 801 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1127 |
Faceoffs Lost | 919 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 33.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.8 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 62 |
---|---|
PP Goal | 16 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 5 |
Lost | 1 | 5 |
Overtime Lost | 0 | 3 |
PP Attempt | 72 |
---|---|
PP Goal | 16 |
PK Attempt | 71 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 33.3 |
Shots Against | 31.4 |
Goals For | 3.4 |
Goals Against | 2.5 |
Hits | 24.9 |
Shots Blocked | 7.7 |
Pim | 7.5 |
![]() | |||||||||
Roster | Contracts | Upper Limit | Salary Cap To Date | Projected Cap Hit | Projected Cap Space | Retains And Buyout | Buried Contract | LTIR Players | |
22/23 | 48/50 | 83,500,000$ | 23,258,339$ | 78,262,043$ | 5,237,957$ | 612,000$ | 5 | 1 |
Rangers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artemi Panarin ![]() | LW | 32 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | Unrestricted | ||||
Auston Matthews ![]() | C | 26 | 11,634,000$ | 11,634,000$ | |||||||
Ben Harpur | D | 28 | 787,500$ | 787,500$ | 787,500$ | Unrestricted | |||||
Boone Jenner ![]() | C/LW | 30 | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | Unrestricted | ||||
Claude Giroux ![]() | C/RW | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | Unrestricted | |||||
Dakota Joshua | LW | 27 | 825,000$ | 825,000$ | Unrestricted | ||||||
Darren Raddysh ![]() | D | 27 | 775,000$ | 775,000$ | Unrestricted | ||||||
David Perron ![]() | LW/RW | 35 | 4,750,000$ | 4,750,000$ | Unrestricted | ||||||
David Savard | D | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | Unrestricted | |||||
Ilya Samsonov | G | 26 | 3,550,000$ | 3,550,000$ | Unrestricted | ||||||
Juuso Parssinen ![]() | C/LW | 22 | 850,000$ | 850,000$ | 850,000$ | ||||||
Lars Eller | C | 34 | 2,450,000$ | 2,450,000$ | 2,450,000$ | Unrestricted | |||||
Logan Thompson | G | 26 | 766,667$ | 775,000$ | 775,000$ | Unrestricted | |||||
Luke Glendening | C/LW/RW | 34 | 800,000$ | 800,000$ | 800,000$ | Unrestricted | |||||
Matthew Tkachuk ![]() | RW | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | Unrestricted |
Mike Matheson | D | 29 | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | Unrestricted | ||||
Nick Bonino | C/LW | 35 | 800,000$ | 800,000$ | Unrestricted | ||||||
Nicklas Backstrom ![]() ![]() | C | 36 | 9,200,000$ | 9,200,000$ | 9,200,000$ | Unrestricted | |||||
Rasmus Andersson | D | 27 | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | Unrestricted | ||||
Ryan Lindgren | D | 25 | 3,000,000$ | 3,000,000$ | |||||||
Tyler Pitlick | RW | 32 | 775,000$ | 775,000$ | Unrestricted | ||||||
Vinni Lettieri ![]() | C/RW | 28 | 775,000$ | 775,000$ | 775,000$ | Unrestricted |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 28 | 775,000$ | 775,000$ | Unrestricted | ||||||
Ben McCartney ![]() | LW | 22 | 810,000$ | 810,000$ | Restricted | ||||||
Brady Lyle ![]() | D | 24 | 775,000$ | 775,000$ | |||||||
Carl Lindbom ![]() | G | 20 | 840,000$ | 840,000$ | 840,000$ | 840,000$ | Restricted | ||||
Connor Mackey ![]() | D | 27 | 0$ | 775,000$ | Unrestricted | ||||||
David Hrenak ![]() | G | 25 | 0$ | ||||||||
Dennis Cholowski ![]() | D | 25 | 0$ | 775,000$ | |||||||
Dominic Divincentis ![]() ![]() | G | 19 | 858,333$ | 858,333$ | 858,333$ | 858,333$ | Restricted | ||||
Easton Cowan ![]() ![]() | C/RW | 18 | 935,833$ | 935,833$ | 935,833$ | 935,833$ | Restricted | ||||
Felix Robert ![]() | C/LW | 24 | 857,500$ | 857,500$ | |||||||
Hardy Häman Aktell ![]() | D | 25 | 870,000$ | 870,000$ | |||||||
Ilya Usau ![]() | C | 22 | 850,000$ | 850,000$ | 850,000$ | Restricted | |||||
Isaac Ratcliffe ![]() | LW | 24 | 0$ | ||||||||
Jacob Moverare ![]() | D | 25 | 0$ | 825,000$ | |||||||
Jeffrey Viel ![]() | LW | 26 | 0$ | 775,000$ | Unrestricted | ||||||
Jonny Brodzinski ![]() | C | 30 | 762,500$ | 775,000$ | Unrestricted | ||||||
Jordan Spence ![]() | D | 22 | 820,000$ | 820,000$ | Restricted | ||||||
Libor Hajek ![]() | D | 25 | 0$ | ||||||||
Lukas Svejkovsky ![]() | C | 22 | 850,000$ | 850,000$ | 850,000$ | Restricted | |||||
Mackenzie MacEachern ![]() | LW/RW | 29 | 0$ | 775,000$ | 775,000$ | Unrestricted | |||||
Matt Rempe ![]() | C | 21 | 775,000$ | 775,000$ | Restricted | ||||||
Matthew Kessel ![]() | D | 23 | 850,000$ | 850,000$ | |||||||
Maxim Marushev ![]() | C | 24 | 0$ | ||||||||
Mikhail Abramov ![]() | C | 22 | 810,000$ | 810,000$ | Restricted | ||||||
Nikita Tolopilo ![]() | G | 23 | 950,000$ | 950,000$ | 950,000$ | ||||||
Nikolas Brouillard ![]() | D | 28 | 775,000$ | 775,000$ | Unrestricted | ||||||
Patrik Puistola ![]() | LW/RW | 22 | 775,000$ | 775,000$ | Restricted | ||||||
Riley Nash ![]() | C/RW | 34 | 0$ | 775,000$ | 775,000$ | Unrestricted | |||||
Samuel Ersson ![]() | G | 24 | 850,000$ | 850,000$ | |||||||
Tory Dello ![]() ![]() | D | 26 | 0$ | Unrestricted | |||||||
Tucker Robertson ![]() | C | 20 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | Restricted | ||||
Vadim Zherenko ![]() | G | 22 | 850,000$ | 850,000$ | 850,000$ | ||||||
Ville Ottavainen ![]() | D | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | Restricted |
Left Wing | Center | Right Wing |
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Left Defenseman | Right Defenseman |
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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 | 5 | 6 | -1 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 37 | 10 | 13 | 14 | 0 | 37 | 6 | 4 | 21 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 23 | 15 | 23 | 6 | 13 | 6 | 33.3% | 13.5% | 83.8% | 97.3 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 33 | 11 | 8 | 14 | 0 | 33 | 8 | 8 | 31 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 24 | 16 | 23 | 7 | 11 | 6 | 83.3% | 15.2% | 90.9% | 106.1 | FUN |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 36 | 15 | 9 | 12 | 0 | 21 | 7 | 10 | 26 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 24 | 17 | 24 | 7 | 11 | 5 | 0.0% | 5.6% | 95.2% | 100.8 | DULL |
4 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 5 | 5 | 3 | 0.750 | 10 | 19 | 29 | 0 | 1 | 5 | 3 | 2 | 0 | 84 | 30 | 25 | 20 | 14 | 61 | 15 | 14 | 38 | 6 | 3 | 50.00% | 6 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 52 | 39 | 46 | 14 | 25 | 13 | 58.3% | 11.9% | 91.8% | 103.7 | LUCKY |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 7 | 11 | 15 | 0 | 34 | 4 | 6 | 35 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 23 | 15 | 23 | 7 | 13 | 6 | 0.0% | 3.0% | 94.1% | 97.1 | DULL |
6 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 2 | 8 | 5 | 2 | 48 | 10 | 12 | 21 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 19 | 13 | 31 | 7 | 11 | 5 | 33.3% | 5.9% | 95.8% | 101.7 | DULL |
7 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 11 | 7 | 12 | 2 | 40 | 15 | 6 | 27 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 21 | 15 | 28 | 7 | 13 | 6 | 50.0% | 6.3% | 92.5% | 98.8 | DULL |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 4 | 2 | 2 | 0 | 68 | 19 | 19 | 30 | 0 | 44 | 11 | 19 | 47 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 50 | 37 | 44 | 13 | 24 | 12 | 80.0% | 11.8% | 95.5% | 107.2 | LUCKY |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 10 | 5 | 11 | 0 | 29 | 10 | 6 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 22 | 15 | 25 | 7 | 12 | 5 | 0.0% | 0.0% | 86.2% | 86.2 | Unlucky |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 11 | 7 | 6 | 0 | 26 | 1 | 8 | 25 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 20 | 13 | 25 | 7 | 13 | 5 | 0.0% | 4.2% | 84.6% | 88.8 | Unlucky |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 39 | 11 | 20 | 8 | 0 | 22 | 8 | 4 | 18 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 25 | 18 | 22 | 7 | 12 | 5 | 66.7% | 10.3% | 90.9% | 101.2 | FUN |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 27 | 10 | 9 | 8 | 0 | 42 | 14 | 6 | 23 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 23 | 16 | 24 | 6 | 12 | 5 | 33.3% | 11.1% | 88.1% | 99.2 | FUN |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 6 | 4 | 0 | 0 | 70 | 27 | 23 | 20 | 0 | 72 | 20 | 22 | 64 | 7 | 1 | 14.29% | 10 | 3 | 70.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 49 | 34 | 45 | 14 | 25 | 12 | 90.0% | 14.3% | 94.4% | 108.7 | LUCKY |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 28 | 10 | 13 | 5 | 0 | 32 | 10 | 8 | 17 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 27 | 20 | 20 | 6 | 11 | 6 | 75.0% | 10.7% | 96.9% | 107.6 | LUCKY |
15 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 3 | 2 | 1 | 0 | 80 | 24 | 26 | 30 | 0 | 54 | 6 | 18 | 45 | 9 | 1 | 11.11% | 8 | 2 | 75.00% | 1 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 52 | 38 | 42 | 14 | 25 | 12 | 62.5% | 7.5% | 90.7% | 98.2 | Unlucky |
16 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 1 | 3 | 2 | 0 | 63 | 14 | 25 | 24 | 0 | 56 | 20 | 12 | 51 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 48 | 33 | 45 | 14 | 26 | 13 | 66.7% | 9.5% | 94.6% | 104.2 | LUCKY |
17 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 2 | 0 | 42 | 11 | 14 | 17 | 0 | 39 | 6 | 6 | 38 | 5 | 2 | 40.00% | 3 | 2 | 33.33% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 26 | 20 | 20 | 6 | 12 | 6 | 66.7% | 14.3% | 89.7% | 104.0 | FUN |
18 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 28 | 9 | 11 | 8 | 0 | 33 | 7 | 4 | 19 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 22 | 16 | 25 | 7 | 11 | 5 | 66.7% | 21.4% | 93.9% | 115.4 | LUCKY |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 8 | 0.667 | 18 | 29 | 47 | 0 | 0 | 10 | 7 | 1 | 0 | 202 | 71 | 70 | 61 | 0 | 175 | 40 | 50 | 168 | 25 | 5 | 20.00% | 22 | 3 | 86.36% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 143 | 99 | 141 | 44 | 74 | 36 | 56.5% | 8.9% | 92.6% | 101.5 | Unlucky | |
_Vs Conference | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 37 | 24 | 13 | 16 | 0.727 | 37 | 62 | 99 | 0 | 2 | 17 | 14 | 6 | 0 | 370 | 114 | 127 | 129 | 0 | 312 | 77 | 85 | 287 | 35 | 7 | 20.00% | 34 | 3 | 91.18% | 0 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 266 | 186 | 254 | 77 | 139 | 68 | 58.8% | 10.0% | 92.3% | 102.3 | LUCKY | |
_Since Last GM Reset | 23 | 14 | 6 | 0 | 0 | 2 | 0 | 1 | 79 | 58 | 21 | 31 | 0.674 | 79 | 139 | 218 | 0 | 3 | 36 | 28 | 15 | 0 | 767 | 242 | 253 | 259 | 18 | 723 | 178 | 173 | 573 | 72 | 16 | 22.22% | 71 | 11 | 84.51% | 1 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 557 | 397 | 545 | 162 | 287 | 142 | 57.3% | 10.3% | 92.0% | 102.3 | LUCKY | |
Total | 23 | 14 | 6 | 0 | 0 | 2 | 0 | 1 | 79 | 58 | 21 | 31 | 0.674 | 79 | 139 | 218 | 0 | 3 | 36 | 28 | 15 | 0 | 767 | 242 | 253 | 259 | 18 | 723 | 178 | 173 | 573 | 72 | 16 | 22.22% | 71 | 11 | 84.51% | 1 | 465 | 867 | 53.63% | 432 | 801 | 53.93% | 230 | 378 | 60.85% | 557 | 397 | 545 | 162 | 287 | 142 | 57.3% | 10.3% | 92.0% | 102.3 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 867 |
Neutral Zone Start | 378 |
Defensive Zone Start | 801 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1127 |
Faceoffs Lost | 919 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 33.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.8 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 62 |
---|---|
PP Goal | 16 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 5 |
Lost | 1 | 5 |
Overtime Lost | 0 | 3 |
PP Attempt | 72 |
---|---|
PP Goal | 16 |
PK Attempt | 71 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 33.3 |
Shots Against | 31.4 |
Goals For | 3.4 |
Goals Against | 2.5 |
Hits | 24.9 |
Shots Blocked | 7.7 |
Pim | 7.5 |
Date | Visitor Team | Home Team | Detail | Arena | Boxscore | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thu, Oct 12 | ![]() | 5 | ![]() | 0 | KeyBank Center | RECAP | ||||||||
Sat, Oct 14 | ![]() | 5 | ![]() | 2 | Nationwide Arena | RECAP | ||||||||
Mon, Oct 16 | ![]() | 1 | ![]() | 3 | Madison Square Garden | RECAP | ||||||||
Thu, Oct 19 | ![]() | 0 | ![]() | 6 | Madison Square Garden | RECAP | ||||||||
Sat, Oct 21 | ![]() | 6 | ![]() | 2 | Climate Pledge Arena | RECAP | ||||||||
Tue, Oct 24 | ![]() | 0 | ![]() | 4 | Scotiabank Saddledome | RECAP | ||||||||
Thu, Oct 26 | ![]() | 3 | ![]() | 5 | Rogers Place | RECAP | ||||||||
Sat, Oct 28 | ![]() | 5 | ![]() | 3 | Rogers Arena | RECAP | ||||||||
Mon, Oct 30 | ![]() | 1 | ![]() | 2 | End in Overtime | Bell MTS Place | RECAP | |||||||
Thu, Nov 2 | ![]() | 2 | ![]() | 4 | Madison Square Garden | RECAP | ||||||||
Sat, Nov 4 | ![]() | 1 | ![]() | 2 | Xcel Energy Center | RECAP | ||||||||
Tue, Nov 7 | ![]() | 0 | ![]() | 2 | Madison Square Garden | RECAP | ||||||||
Thu, Nov 9 | ![]() | 3 | ![]() | 5 | Madison Square Garden | RECAP | ||||||||
Sun, Nov 12 | ![]() | 2 | ![]() | 5 | Madison Square Garden | RECAP | ||||||||
Sat, Nov 18 | ![]() | 1 | ![]() | 4 | Prudential Center | RECAP | ||||||||
Mon, Nov 20 | ![]() | 2 | ![]() | 3 | End in Overtime | American Airlines Center | RECAP | |||||||
Wed, Nov 22 | ![]() | 1 | ![]() | 2 | PPG Paints Arena | RECAP | ||||||||
Fri, Nov 24 | ![]() | 2 | ![]() | 1 | Wells Fargo Center | RECAP | ||||||||
Sat, Nov 25 | ![]() | 6 | ![]() | 5 | Madison Square Garden | RECAP | ||||||||
Mon, Nov 27 | ![]() | 2 | ![]() | 3 | Madison Square Garden | RECAP | ||||||||
Wed, Nov 29 | ![]() | 3 | ![]() | 4 | Madison Square Garden | RECAP | ||||||||
Sat, Dec 2 | ![]() | 4 | ![]() | 5 | End in Shootout | Bridgestone Arena | RECAP | |||||||
Sun, Dec 3 | ![]() | 4 | ![]() | 6 | Madison Square Garden | RECAP | ||||||||
Tue, Dec 5 | ![]() | ![]() | Canadian Tire Centre | |||||||||||
Sat, Dec 9 | ![]() | ![]() | Capital One Arena | |||||||||||
Sun, Dec 10 | ![]() | ![]() | Madison Square Garden | |||||||||||
Tue, Dec 12 | ![]() | ![]() | Madison Square Garden | |||||||||||
Fri, Dec 15 | ![]() | ![]() | Madison Square Garden | |||||||||||
Sat, Dec 16 | ![]() | ![]() | TD Garden | |||||||||||
Tue, Dec 19 | ![]() | ![]() | Scotiabank Arena | |||||||||||
Fri, Dec 22 | ![]() | ![]() | Madison Square Garden | |||||||||||
Sat, Dec 23 | ![]() | ![]() | Madison Square Garden | |||||||||||
Wed, Dec 27 | ![]() | ![]() | Madison Square Garden | |||||||||||
Fri, Dec 29 | ![]() | ![]() | FLA Live Arena | |||||||||||
Sat, Dec 30 | ![]() | ![]() | Amalie Arena | |||||||||||
Tue, Jan 2 | ![]() | ![]() | Madison Square Garden | |||||||||||
Thu, Jan 4 | ![]() | ![]() | Madison Square Garden | |||||||||||
Sat, Jan 6 | ![]() | ![]() | Centre Bell | |||||||||||
Mon, Jan 8 | ![]() | ![]() | Madison Square Garden | |||||||||||
Thu, Jan 11 | ![]() | ![]() | Enterprise Center | |||||||||||
Sat, Jan 13 | ![]() | ![]() | Capital One Arena | |||||||||||
Sun, Jan 14 | ![]() | ![]() | Madison Square Garden | |||||||||||
Tue, Jan 16 | ![]() | ![]() | Madison Square Garden | |||||||||||
Thu, Jan 18 | ![]() | ![]() | T-Mobile Arena | |||||||||||
Sat, Jan 20 | ![]() | ![]() | Crypto.com Arena | |||||||||||
Sun, Jan 21 | ![]() | ![]() | Honda Center | |||||||||||
Tue, Jan 23 | ![]() | ![]() | SAP Center at San Jose | |||||||||||
Fri, Jan 26 | ![]() | ![]() | Madison Square Garden | |||||||||||
Sat, Jan 27 | ![]() | ![]() | Canadian Tire Centre | |||||||||||
Mon, Feb 5 | ![]() | ![]() | Madison Square Garden | |||||||||||
Wed, Feb 7 | ![]() | ![]() | Madison Square Garden | |||||||||||
Fri, Feb 9 | ![]() | ![]() | United Center | |||||||||||
Mon, Feb 12 | ![]() | ![]() | Madison Square Garden | |||||||||||
Thu, Feb 15 | ![]() | ![]() | Madison Square Garden | |||||||||||
Sun, Feb 18 | ![]() | ![]() | UBS Arena | |||||||||||
Tue, Feb 20 | ![]() | ![]() | Madison Square Garden | |||||||||||
Thu, Feb 22 | ![]() | ![]() | Prudential Center | |||||||||||
Sat, Feb 24 | ![]() | ![]() | Wells Fargo Center | |||||||||||
Sun, Feb 25 | ![]() | ![]() | Nationwide Arena | |||||||||||
Wed, Feb 28 | ![]() | ![]() | Madison Square Garden | |||||||||||
Sat, Mar 2 | ![]() | ![]() | Scotiabank Arena | |||||||||||
Mon, Mar 4 | ![]() | ![]() | Madison Square Garden | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sat, Mar 9 | ![]() | ![]() | Madison Square Garden | |||||||||||
Mon, Mar 11 | ![]() | ![]() | Madison Square Garden | |||||||||||
Tue, Mar 12 | ![]() | ![]() | PNC Arena | |||||||||||
Thu, Mar 14 | ![]() | ![]() | Amalie Arena | |||||||||||
Sat, Mar 16 | ![]() | ![]() | PPG Paints Arena | |||||||||||
Sun, Mar 17 | ![]() | ![]() | Madison Square Garden | |||||||||||
Tue, Mar 19 | ![]() | ![]() | Madison Square Garden | |||||||||||
Thu, Mar 21 | ![]() | ![]() | TD Garden | |||||||||||
Sat, Mar 23 | ![]() | ![]() | Madison Square Garden | |||||||||||
Tue, Mar 26 | ![]() | ![]() | Madison Square Garden | |||||||||||
Thu, Mar 28 | ![]() | ![]() | Ball Arena | |||||||||||
Sat, Mar 30 | ![]() | ![]() | Gila River Arena | |||||||||||
Mon, Apr 1 | ![]() | ![]() | Madison Square Garden | |||||||||||
Wed, Apr 3 | ![]() | ![]() | Madison Square Garden | |||||||||||
Fri, Apr 5 | ![]() | ![]() | Little Caesars Arena | |||||||||||
Sun, Apr 7 | ![]() | ![]() | Madison Square Garden | |||||||||||
Tue, Apr 9 | ![]() | ![]() | UBS Arena | |||||||||||
Thu, Apr 11 | ![]() | ![]() | Madison Square Garden | |||||||||||
Sat, Apr 13 | ![]() | ![]() | Madison Square Garden | |||||||||||
Mon, Apr 15 | ![]() | ![]() | Madison Square Garden |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,296,500$ | 612,000$ | 78,262,043$ | 5,237,957$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Madison Square Garden | |
City | New York | ||
Capacity | 18006 | ||
Season Ticket Holders | 70% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Capacity | 6000 | 5000 | 2000 | 4000 | 1006 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 60000 | 50000 | 20000 | 33620 | 10060 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 84.05% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
31 | 17368 - 96.46% | 2,149,756$ | 21,497,562$ | 18006 | 110 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,296,500$ | 82,288,167$ | 0$ | 612,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
25,617,665$ | 399,939$ | 23,258,339$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
66,642,442$ | 136 | 435,291$ | 59,199,576$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
60,417,077$ | 78,262,043$ | 83,529,385$ | 96,652,368$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() ![]() | ![]() | ![]() ![]() | ![]() | |||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Player | Team | Draft Year | Round | Overall Pick |
---|---|---|---|---|
Alexander Campbell | ![]() | 2019 | 3 | 66 |
Alexander Ljungkrantz | ![]() | 2020 | 7 | 204 |
Andre Gasseau | ![]() | 2023 | 7 | 200 |
Arvid Costmar | ![]() | 2020 | 6 | 160 |
Bulat Shafigullin | ![]() | 2018 | 3 | 78 |
Cole Spicer | ![]() | 2022 | 3 | 94 |
Daniil Gutik | ![]() | 2019 | 8 | 218 |
Denver Barkey | ![]() | 2023 | 4 | 99 |
Devin Kaplan | ![]() | 2022 | 3 | 70 |
Eric Ciccolini | ![]() | 2019 | 8 | 231 |
Erik Pahlsson | ![]() | 2023 | 8 | 229 |
Jack Devine | ![]() | 2022 | 5 | 129 |
Jake Livanavage | ![]() | 2022 | 8 | 229 |
Josh Nodler | ![]() | 2019 | 6 | 159 |
Joël Nystrom | ![]() | 2022 | 7 | 210 |
Lenni Hameenaho | ![]() | 2023 | 2 | 55 |
Matej Kaslik | ![]() | 2020 | 6 | 156 |
Maxim Mayorov | ![]() | 2022 | 4 | 114 |
Michael Mastrodomenico | ![]() | 2022 | 8 | 245 |
Mitch Miller | ![]() | 2020 | 2 | 60 |
Nikita Guslistov | ![]() | 2022 | 6 | 178 |
Otto Salin | ![]() | 2022 | 4 | 115 |
Paul Fischer | ![]() | 2023 | 5 | 139 |
Quinton Burns | ![]() | 2023 | 3 | 83 |
Sam Lipkin | ![]() | 2022 | 7 | 197 |
Santeri Airola | ![]() | 2019 | 7 | 210 |
Simon Forsmark | ![]() | 2022 | 3 | 85 |
Tomas Chlubna | ![]() | 2020 | 8 | 237 |
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 |
Player | Team | Draft Year | Round | Overall Pick |
---|---|---|---|---|
Alexander Campbell | ![]() | 2019 | 3 | 66 |
Alexander Ljungkrantz | ![]() | 2020 | 7 | 204 |
Andre Gasseau | ![]() | 2023 | 7 | 200 |
Arvid Costmar | ![]() | 2020 | 6 | 160 |
Bulat Shafigullin | ![]() | 2018 | 3 | 78 |
Cole Spicer | ![]() | 2022 | 3 | 94 |
Daniil Gutik | ![]() | 2019 | 8 | 218 |
Denver Barkey | ![]() | 2023 | 4 | 99 |
Devin Kaplan | ![]() | 2022 | 3 | 70 |
Eric Ciccolini | ![]() | 2019 | 8 | 231 |
Erik Pahlsson | ![]() | 2023 | 8 | 229 |
Jack Devine | ![]() | 2022 | 5 | 129 |
Jake Livanavage | ![]() | 2022 | 8 | 229 |
Josh Nodler | ![]() | 2019 | 6 | 159 |
Joël Nystrom | ![]() | 2022 | 7 | 210 |
Lenni Hameenaho | ![]() | 2023 | 2 | 55 |
Matej Kaslik | ![]() | 2020 | 6 | 156 |
Maxim Mayorov | ![]() | 2022 | 4 | 114 |
Michael Mastrodomenico | ![]() | 2022 | 8 | 245 |
Mitch Miller | ![]() | 2020 | 2 | 60 |
Nikita Guslistov | ![]() | 2022 | 6 | 178 |
Otto Salin | ![]() | 2022 | 4 | 115 |
Paul Fischer | ![]() | 2023 | 5 | 139 |
Quinton Burns | ![]() | 2023 | 3 | 83 |
Sam Lipkin | ![]() | 2022 | 7 | 197 |
Santeri Airola | ![]() | 2019 | 7 | 210 |
Simon Forsmark | ![]() | 2022 | 3 | 85 |
Tomas Chlubna | ![]() | 2020 | 8 | 237 |