Red WingsDetroit Red Wings
6-9-3, 15pts · 13th 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.
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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
1Warren FoegeleRed WingsRed Wings13LW1851419-63410465620528.93%521.:.41325000222141.38%2900000.9700
2Kevin HayesRed WingsRed Wings12C/LW/RW188917-7601550213816.00%221.:.30224000101054.31%54500010.8800
3Jonathan DrouinRed WingsRed Wings11C/LW/RW188715-7202157193114.04%621.:.1903300021251.85%2700000.7802
4Christian DvorakRed WingsRed Wings22C/LW184812640134118239.76%417.:.09000000661054.10%32900000.7802
5Dmitri VoronkovRed WingsRed Wings23C/LW186393752655193210.91%218.:.08101000230055.36%5600010.5500
6Nate SchmidtRed WingsRed Wings88D16088-4402919590.00%2523.:.2000000041000.00%000000.4300
7Jon MerrillRed WingsRed Wings3D17178-22032234154.35%2821.:.2711200042000.00%000000.4400
8Kailer YamamotoRed WingsRed Wings21LW/RW1824632094911354.08%216.:.1302200000042.31%2600000.4102
9Logan StanleyRed WingsRed Wings6D18066-3371557111110.00%2517.:.4702200037000.00%000000.3700
10Michael McCarronRed WingsRed Wings71C/RW18415-524102827142614.81%316.:.25202000540151.64%42600100.3400
11Nathan WalkerRed WingsRed Wings72LW18145-36013245134.17%011.:.57011000271042.86%3500000.4600
12Jake BeanRed WingsRed Wings5D18224-1120361671712.50%3124.:.5001100049000.00%000000.1800
13Nick DeSimoneRed WingsRed Wings7D18314-44016114527.27%1114.:.5001100011000.00%000000.3000
14Nikita ZaitsevRed WingsRed Wings4D18033-316031109140.00%1421.:.2800000024000.00%000000.1600
15Ryan ReavesRed WingsRed Wings53RW18022-21410711130.00%106.:.5600000000057.14%700000.3200
16Matt MartinRed WingsRed Wings52LW18112-220915566.67%207.:.0200000000033.33%300000.3200
17Pat MaroonRed WingsRed Wings73LW18011-46021196210.00%110.:.0000000000062.50%800000.1100
18Mark KastelicRed WingsRed Wings51C18101-2207110119.09%107.:.0200000000057.04%14200000.1600
19Kyle MarinoRed WingsGriffins (DET)85D300000000000.00%002.:.220000000000.00%000000.0000
Team Total or Average3214681127-43184504165051693629.11%16316:33915240004156453.15%163300120.4806
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 ThompsonRed WingsRed Wings1458189.6%3.37819004644202166.7%3144010
2John GibsonRed WingsRed Wings511294.9%1.7827020815700066.7%3414111
Team Total or Average1969391.0%2.98108920545990210.66761818121
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
1Red WingsPenguins20200000410-600.000471100121049101722080191740500.00%6433.33%030961750.08%39770756.15%16228956.06%40265116271240.0%8.2%87.5%95.7Unlucky
2Red WingsIslanders1010000003-300.0000000000003261610032142816500.00%40100.00%030961750.08%39770756.15%16228956.06%23162281360.0%0.0%90.6%90.6Unlucky
3Red WingsRangers31100001711-430.500712190043008318382559120277810220.00%11281.82%030961750.08%39770756.15%16228956.06%65397626431935.7%8.4%87.9%96.3Unlucky
4Red WingsDevils1100000051421.0005813002300381116110325626200.00%30100.00%030961750.08%39770756.15%16228956.06%221423713683.3%13.2%96.9%110.0LUCKY
5Red WingsJets1010000025-300.0002350001102871290346111811100.00%3166.67%030961750.08%39770756.15%16228956.06%221422815720.0%7.1%85.3%92.4Unlucky
6Red WingsSabres2100010076130.75071421003130411315130772114578112.50%7185.71%030961750.08%39770756.15%16228956.06%42275316251254.5%17.1%92.2%109.3LUCKY
7Red WingsMaple Leafs1010000024-200.000235002000199730361628195120.00%7185.71%030961750.08%39770756.15%16228956.06%181028912525.0%10.5%88.9%99.4FUN
8Red WingsBlackhawks1100000021121.00024600011029581603044205120.00%20100.00%030961750.08%39770756.15%16228956.06%221422814750.0%6.9%96.7%103.6DULL
9Red WingsPredators2100000185330.750813210032307420153210671814545120.00%70100.00%030961750.08%39770756.15%16228956.06%44295216271358.3%10.8%92.5%103.3LUCKY
10Red WingsOilers1100000052321.000591400131028111250301317183266.67%60100.00%030961750.08%39770756.15%16228956.06%211424813660.0%17.9%93.3%111.2LUCKY
11Red WingsKings1010000001-100.00000000000037119170359720200.00%10100.00%030961750.08%39770756.15%16228956.06%21152671250.0%0.0%97.1%97.1DULL
12Red WingsDucks1010000024-200.0002461000202276902911919300.00%20100.00%030961750.08%39770756.15%16228956.06%221524712533.3%9.1%86.2%95.3FUN
13Red WingsSharks1010000024-200.0002460020002511770277431000.00%20100.00%030961750.08%39770756.15%16228956.06%221423714633.3%8.0%85.2%93.2Unlucky
_Vs Division31100100910-130.5009172600513060222216011337427613215.38%14285.71%030961750.08%39770756.15%16228956.06%60378225381746.7%15.0%91.2%106.2LUCKY
_Vs Conference1035001012535-1080.4002544690012940262671098453489512023635411.43%38878.95%030961750.08%39770756.15%16228956.06%213134256841366243.8%9.5%89.9%99.5FUN
_Since Last GM Reset1869001024657-11150.41746811271018161205051391781791560016318641654916.67%61985.25%030961750.08%39770756.15%16228956.06%39125245314724511543.5%9.1%90.5%99.6FUN
Total1869001024657-11150.41746811271018161205051391781791560016318641654916.67%61985.25%030961750.08%39770756.15%16228956.06%39125245314724511543.5%9.1%90.5%99.6FUN

Puck Time
Offensive Zone 21
Neutral Zone 13
Defensive Zone 25
Puck Time
Offensive Zone Start 617
Neutral Zone Start 289
Defensive Zone Start 707
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 868
Faceoffs Lost 745
Team Average Shots after League Average Shots after
1st Period 7.710.69
2nd Period 17.621.35
3rd Period 27.632.03
Overtime 28.432.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 1.92.13
3rd Period 2.62.97
Overtime 2.63.07
Even Strenght Goal 36
PP Goal 9
PK Goal 0
Empty Net Goal 1
Home Away
Win 51
Lost 27
Overtime Lost 12
PP Attempt 54
PP Goal 9
PK Attempt 61
PK Goal Against 9
Home
Shots For 28.1
Shots Against 33.3
Goals For 2.6
Goals Against 3.2
Hits 23.1
Shots Blocked 9.1
Pim 10.3