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
1Michael AmadioNorfolk (TBL)0C67384886-175352333812220211.24%1319.8330437316200016710455.30%13965124021.29110
2Nicolas Aube-KubelNorfolk (TBL)0RW67434386-18430213529820212.22%919.8139317016001114116346.88%966724031.30210
3Jacob de la RoseChicago (WPG)0C75294069-117420442306914112.61%2220.552632582060001697260.04%10913594020.90212
4Denis MalginCoyotes0C75244367-9522047257751709.34%2219.4018385620000025360.80%1765981010.9200
5Kevin FialaBridgeport (NYI)0LW/RW55253560-53725312106611911.90%2923.112029491440001384159.68%2484378110.94510
6Jayce HawrylukChicago (WPG)0C75193049-16712549153518512.42%1816.93112334151000792155.63%8523174100.7702
7Austin WagnerChicago (WPG)0LW75162642-164115531414410911.35%3418.281120311560001344250.00%1304983000.61911
8Joseph GambardellaChicago (WPG)0C75131932-1451251613137899.92%2415.1111102115200004249.09%552263000.5600
9Ben HarpurChicago (WPG)0D7562127-11210130499829316.12%4523.2661420213000176200.00%019157000.3100
10Jaycob MegnaNorfolk (TBL)0D6781220873352370232711.43%3626.086511217000146300.00%0895100.2301
11Dalton ProutChicago (WPG)0D7541418-97935216620196.06%3823.593811219000191210.00%013160000.2000
12Henrik BorgstromChicago (WPG)0C7541317-726103410328583.88%1713.082465800041060.00%4852941000.3511
13Cal O'ReillyChicago (WPG)0C758513-62001401710627787.55%1413.8412336000963150.94%533353000.2500
14Gavin BayreutherChicago (WPG)0D757512-1245151343162016.28%3019.12641017700015230100.00%11399000.1700
15Rinat ValievChicago (WPG)0D753811-12223145213211139.38%3217.863811163000138000.00%0392000.1600
16Kyle RauChicago (WPG)0C754610-12315165412227.41%37.6323569000271059.05%1051214100.3500
17Scott WilsonChicago (WPG)0LW75325-7155236012375.00%1612.8600018000490041.38%29947100.1000
18Josh MahuraChicago (WPG)0D75134-164315696511.11%2113.311125200011000.00%1366000.0800
19Mark FriedmanChicago (WPG)0D75123-33610762416.67%139.661124000044000.00%2036000.0800
20Max McCormickChicago (WPG)0LW75213-61009258158.00%87.13112400090033.33%6816000.1100
21Jakub ZborilChicago (WPG)0D75022-16291577440.00%1212.14011700070000.00%1148000.0400
22Gabriel CarlssonChicago (WPG)0D7501104081220.00%66.4000030003000.00%0013000.0400