PenguinsPittsburgh Penguins
3-4-0, 6pts · 7th in Eastern Conference
Player Stats
Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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 PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Matt DuchenePenguinsPenguins93C/RW7661262032291727.27%320.:.5711200001051.87%18700001.6400
2Ryan Nugent-HopkinsPenguinsPenguins93C/LW76612520132731922.22%022.:.0611200000067.86%2800001.5500
3Tage ThompsonPenguinsPenguins72C/LW/RW738115115213513218.57%122.:.3212300040062.50%1600001.3900
4Cale MakarPenguinsPenguins8D506630046240.00%719.:.210220000000.00%000001.2400
5Jake McCabePenguinsPenguins19D714502152763516.67%1424.:.570000009000.00%000000.5700
6Nick SuzukiPenguinsPenguins14C7235-10072061510.00%218.:.5010100001050.88%17100000.7600
7Dylan StromePenguinsPenguins17C/RW7224-100528477.14%018.:.3502200000038.46%1300000.6100
8Alex KillornPenguinsPenguins0LW/RW722404081661412.50%017.:.5410100000040.00%1000000.6400
9Noah HanifinPenguinsPenguins5D7033-14098340.00%522.:.5401100019000.00%000000.3700
10Travis SanheimPenguinsPenguins6D703314064640.00%1124.:.2201100014000.00%000000.3500
11Yanni GourdePenguinsPenguins37C/LW/RW7033160910790.00%318.:.16000000280052.89%12100000.4700
12Troy StecherPenguinsPenguins51D3112120130033.33%211.:.580000002100.00%000001.1100
13Andrew CoppPenguinsPenguins18C/LW/RW7202-2003151713.33%115.:.15000000310038.16%7600000.3700
14Connor ZaryPenguinsPenguins (PIT)47C/LW202220026010.00%017.:.5300000000050.00%600001.1200
15Scott LaughtonPenguinsPenguins21C/LW71121401313497.69%015.:.0700000060031.25%1600000.3800
16Jonas BrodinPenguinsPenguins4D701124046440.00%721.:.4900000023000.00%000000.1300
17Jake EvansPenguinsPenguins20C7000-20020110.00%104.:.0100000012000.00%400000.0000
18Jack McBainPenguinsPenguins20C/LW5000-20021010.00%002.:.150000000000.00%000000.0000
19Mattias JanmarkPenguinsPenguins39C/LW/RW100000000000.00%000.:.000000000000.00%000000.0000
20Casey CizikasPenguinsPenguins53C6000-20000030.00%004.:.30000000100064.00%2500000.0000
21Ben ChiarotPenguinsPenguins7D6000080103100.00%417.:.1600000023000.00%000000.0000
Team Total or Average1242649751472101472237314411.66%6117:19510150001903050.37%66700000.7000
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Semyon VarlamovPenguinsPenguins321093.1%2.311820071020000.0%025101
2Logan ThompsonPenguinsPenguins513089.0%3.8926200171540000.0%052010
Team Total or Average834090.6%3.2444400242560000.000077111
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
# 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
1PenguinsBlue Jackets734000002624260.429265177001285122978726316256617214923521.74%28678.57%013225651.56%14129747.47%6612055.00%177120170551005053.8%11.4%90.6%102.0FUN
_Vs Division734000002624260.429265177001285122978726316256617214923521.74%28678.57%013225651.56%14129747.47%6612055.00%177120170551005053.8%11.4%90.6%102.0FUN
_Vs Conference734000002624260.429265177001285122978726316256617214923521.74%28678.57%013225651.56%14129747.47%6612055.00%177120170551005053.8%11.4%90.6%102.0FUN
_Since Last GM Reset734000002624260.429265177001285122978726316256617214923521.74%28678.57%013225651.56%14129747.47%6612055.00%177120170551005053.8%11.4%90.6%102.0FUN
Total734000002624260.429265177001285122978726316256617214923521.74%28678.57%013225651.56%14129747.47%6612055.00%177120170551005053.8%11.4%90.6%102.0FUN

Puck Time
Offensive Zone 25
Neutral Zone 14
Defensive Zone 24
Puck Time
Offensive Zone Start 256
Neutral Zone Start 120
Defensive Zone Start 297
Puck Time
With Puck 32
Without Puck 31
Faceoffs
Faceoffs Won 339
Faceoffs Lost 334
Team Average Shots after League Average Shots after
1st Period 11.110.69
2nd Period 21.421.35
3rd Period 30.432.03
Overtime 32.732.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.71.08
2nd Period 2.92.13
3rd Period 3.62.97
Overtime 3.73.07
Even Strenght Goal 21
PP Goal 5
PK Goal 0
Empty Net Goal 0
Home Away
Win 21
Lost 13
Overtime Lost 00
PP Attempt 23
PP Goal 5
PK Attempt 28
PK Goal Against 6
Home
Shots For 32.7
Shots Against 36.6
Goals For 3.7
Goals Against 3.4
Hits 21.3
Shots Blocked 8.7
Pim 10.3