Player Stats

Filter Tips
PriorityTypeDescription
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
10textAny 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
1Kevin FialaChicago (WPG)0LW/RW35142640-3251520129347210.85%2022.7812203294000933056.79%1622250101.0024
2Jacob de la RoseChicago (WPG)0C35132134-235152657224522.81%820.0512183095000874162.02%5451040010.9714
3Denis MalginChicago (WPG)0C3514173101602199335614.14%1118.48914239600014263.75%802733010.9600
4Nicolas Aube-KubelNorfolk (TBL)0RW28161531-335159132428812.12%319.841482261011638239.39%332910011.1203
5Michael AmadioNorfolk (TBL)0C28111829-33210814059727.86%420.098142260000702156.83%556129001.0313
6Jayce HawrylukChicago (WPG)0C35101727-1034101868223114.71%1017.907142175000390156.90%3481244000.8601
7Austin WagnerChicago (WPG)0LW35121224-91002872154816.67%1519.849112076000644252.08%482246000.6944
8Joseph GambardellaChicago (WPG)0C3561117-9100956154310.71%1315.7068147500002252.38%21838000.6200
9Ben HarpurChicago (WPG)0D353912-757251927121111.11%2224.09371010900092200.00%0877000.2800
10Dalton ProutChicago (WPG)0D35088-556209191180.00%1523.2706610700094000.00%0564000.2000
11Jaycob MegnaNorfolk (TBL)0D2824643515729696.90%1925.371128300058200.00%0347000.1701
12Henrik BorgstromChicago (WPG)0C35145-611513409212.50%1013.351232200021061.20%1831318000.2111
13Kyle RauChicago (WPG)0C35224011591921010.53%17.4111224000140057.14%4938100.3100
14Cal O'ReillyChicago (WPG)0C35303-68345104712386.38%714.4010118000431150.00%241433000.1200
15Rinat ValievChicago (WPG)0D35123-5138901012548.33%1517.251236200066000.00%0144000.1000
16Max McCormickChicago (WPG)0LW35213-3404122516.67%46.3411220004000.00%369000.2700
17Josh MahuraChicago (WPG)0D35022-713542220.00%713.47000250002000.00%1237000.0800
18Gabriel CarlssonChicago (WPG)0D35011-20030110.00%46.4100020000000.00%008000.0900
19Gavin BayreutherChicago (WPG)0D35011-5155713960.00%1519.05011720007300100.00%1435000.0300
20Scott WilsonChicago (WPG)0LW35011-68013257100.00%513.1600010000240023.08%13419000.0400
21Jakub ZborilChicago (WPG)0D35000-715515010.00%611.99000400028000.00%1022000.0000
22Mark FriedmanChicago (WPG)0D35000-38041010.00%510.130002200016000.00%0012000.0000