May
18
Monday, May 18
FLA
CBJ
Monday, May 18
MIN
VGK
PenguinsPittsburgh Penguins
6-6-0, 12pts · 6th in Eastern Conference
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 PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Nick SuzukiPenguinsPenguins14C1261117720537143316.22%420.:.3622400000151.00%35100001.3700
2Tage ThompsonPenguinsPenguins72C/LW/RW1289177201657133814.04%120.:.3311200002150.00%1400001.3800
3Andrei SvechnikovPenguinsPenguins37LW/RW1286146120303762321.62%319.:.0012300002046.67%1500001.2300
4Matt DuchenePenguinsPenguins93C/RW12448-400335113711.43%017.:.2500000000052.03%29600000.7700
5Mathew BarzalPenguinsPenguins13C/RW1225740082611227.69%115.:.3301100030043.75%1600000.7500
6Boone JennerPenguinsPenguins38C/LW1216740012229154.55%013.:.48000000160037.85%21400000.8500
7Noah DobsonPenguinsPenguins53D1216708015122128.33%924.:.330110009000.00%000000.4700
8Jamie BennPenguinsPenguins15C/LW12347-220182591112.00%216.:.4900000000146.67%1500000.6900
9Travis SanheimPenguinsPenguins6D122574601882625.00%1520.:.0400000031100.00%000000.5800
10Jake McCabePenguinsPenguins19D1205511202912390.00%1322.:.2400000023000.00%000000.3700
11Jonas BrodinPenguinsPenguins4D12145-11001791311.11%2316.:.4500000029000.00%000000.5000
12Noah HanifinPenguinsPenguins55D121345201512458.33%1721.:.2600000027000.00%000000.3100
13Brad MarchandPenguinsPenguins63C/LW/RW11134220152511284.00%216.:.1900000070033.33%1200000.4500
14Dylan HollowayPenguinsPenguins55C/LW/RW12314-520162442712.50%116.:.3800000001026.32%1900000.4000
15Jared SpurgeonPenguinsPenguins5D9022-440163110.00%914.:.480000001000.00%000000.3000
16Jake EvansPenguinsPenguins20C12112-3201124108.33%109.:.22000000400050.00%18200000.3600
17Michael McCarronPenguinsPenguins19C/RW12101-312101612368.33%109.:.01000000370075.00%800000.1800
18Brandt ClarkePenguinsPenguins (PIT)92D3101120331033.33%212.:.560000000000.00%000000.5200
19Nick FolignoPenguinsPenguins36LW/RW12011-3758113110.00%008.:.12000000190066.67%1200000.2000
20Mattias JanmarkPenguinsPenguins39C/LW/RW100000001110.00%004.:.470000000000.00%000000.0000
Team Total or Average213437611915851525838011229811.32%10216:4947110002466348.18%115400000.6600
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
1Logan ThompsonPenguinsPenguins1052189.6%3.5853621323090010.0%0102100
2Adin HillPenguinsPenguins413093.1%2.692010091300000.0%0210010
Team Total or Average1465190.7%3.3473721414390010.00001212110
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
1PenguinsLightning642000002419580.66724396311910411966961624208454013318316.67%19289.47%021643649.54%24349648.99%9722243.69%1379014745814055.3%12.2%90.9%103.1FUN
2PenguinsBlue Jackets624000002023-340.333203757005861187616159623259491281119.09%16381.25%021643649.54%24349648.99%9722243.69%1379215349824048.7%10.7%90.1%100.8FUN
_Vs Division624000002023-340.333203757005861187616159623259491281119.09%16381.25%021643649.54%24349648.99%9722243.69%1379215349824048.7%10.7%90.1%100.8FUN
_Vs Conference12660000044422120.5004476120111418102383130122121104401048926129413.79%35585.71%021643649.54%24349648.99%9722243.69%274182300941638051.9%11.5%90.5%101.9FUN
_Since Last GM Reset12660000044422120.5004476120111418102383130122121104401048926129413.79%35585.71%021643649.54%24349648.99%9722243.69%274182300941638051.9%11.5%90.5%101.9FUN
Total12660000044422120.5004476120111418102383130122121104401048926129413.79%35585.71%021643649.54%24349648.99%9722243.69%274182300941638051.9%11.5%90.5%101.9FUN

Puck Time
Offensive Zone 22
Neutral Zone 13
Defensive Zone 25
Puck Time
Offensive Zone Start 436
Neutral Zone Start 222
Defensive Zone Start 496
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 556
Faceoffs Lost 598
Team Average Shots after League Average Shots after
1st Period 10.810.69
2nd Period 21.021.35
3rd Period 31.132.03
Overtime 31.932.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.21.08
2nd Period 2.72.13
3rd Period 3.52.97
Overtime 3.73.07
Even Strenght Goal 39
PP Goal 4
PK Goal 0
Empty Net Goal 1
Home Away
Win 42
Lost 24
Overtime Lost 00
PP Attempt 29
PP Goal 4
PK Attempt 35
PK Goal Against 5
Home
Shots For 31.9
Shots Against 36.7
Goals For 3.7
Goals Against 3.5
Hits 21.8
Shots Blocked 8.7
Pim 7.4