Red WingsDetroit Red Wings
31-47-4, 66pts · 14th 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
1Jonathan DrouinRed WingsRed Wings27C/LW/RW82243559-1726101142266514310.62%1518.:.4361117000433144.68%28200000.7703
2Christian DvorakRed WingsRed Wings81C/LW58252550-5100671743610614.37%2519.:.29107170001010153.14%145100000.8811
3Kyle PalmieriRed WingsRed Wings21RW82232548-1646101512307919910.00%1318.:.504711000702436.88%14100110.6213
4Colin WhiteRed WingsRed Wings96C/RW82143044-262351011324510510.61%1417.:.225914000342146.64%180100000.6201
5P.K. SubbanRed WingsRed Wings76D7883543-744101128333559.64%11921.:.0731114000169200.00%000000.5200
6Nikita ZaitsevRed WingsRed Wings22D8291726-135601699929669.09%13821.:.26112000200220.00%000000.3000
7Joel EdmundsonRed WingsRed Wings44D8222426-1491152446229413.23%10919.:.53033000162000.00%000000.3200
8Carl HagelinRed WingsRed Wings0LW80131225-146057138351079.42%1215.:.000000002092136.14%8300000.4201
9Warren FoegeleRed WingsRed Wings0LW84101525-12540113129351027.75%413.:.5102200010056.86%10200000.4301
10Joonas DonskoiRed WingsRed Wings72LW/RW82101323-131203713145857.63%1512.:.560111122233035.53%7600100.4302
11Mike MathesonRed WingsRed Wings5D6581523-232751048631529.30%11022.:.13448000150100.00%000000.3200
12Cody EakinRed WingsRed Wings21C82101323-1214046160351246.25%1316.:.370000002253051.41%191200000.3411
13Givani SmithRed WingsRed Wings54RW716713-46030596415489.38%408.:.4600000001141.03%3900000.4200
14Jake WalmanRed WingsRed Wings0D743912-2724046388337.89%8416.:.1700000088000.00%000000.2000
15Mark KastelicRed WingsRed Wings85C764812-6380984410409.09%108.:.0500000000048.29%79100000.3900
16Brendan PerliniRed WingsRed Wings29LW825510-1280297221566.94%307.:.1200000041028.12%3200000.3401
17Ben HarpurRed WingsRed Wings0D41279-14415981541913.33%5615.:.1300000016010.00%000000.2900
18Nathan BeaulieuRed WingsRed Wings28D41189-14341079112129.09%4012.:.0700000016010.00%000000.3600
19Jonas RondbjergRed WingsRed Wings81RW27022-340627990.00%106.:.3100000000033.33%1800000.2301
20Matthew PecaRed WingsRed Wings0C24000-22017119130.00%607.:.53000000360041.35%23700000.0000
Team Total or Average1375177305482-2546201001747193257514159.16%78215.583356891121755221348.79%696500210.45315
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
1John GibsonRed WingsRed Wings632334491.1%3.20340942182203701068.7%1661211142
2Maxime LagaceRed WingsRed Wings29813090.2%3.44153601888950000.0%02161300
Team Total or Average92314740.9083.2849454327029320100.6871682821442
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 WingsPenguins3120000079-220.33371320001420841835310116332257300.00%11190.91%01320271648.60%1649329949.98%660134249.18%61407923391846.7%8.3%92.2%100.6DULL
2Red WingsIslanders3110000199030.50091726012341822721334813230684125.00%14285.71%01320271648.60%1649329949.98%660134249.18%67427224452253.3%11.0%88.9%99.9FUN
3Red WingsRangers321000001010040.66710203000442086363020010125187113215.38%8187.50%01320271648.60%1649329949.98%660134249.18%65437425401947.1%11.6%90.1%101.7FUN
4Red WingsDevils32100000148640.66714213500824097343528090232956200.00%7185.71%01320271648.60%1649329949.98%660134249.18%69466724422166.7%14.4%91.1%105.5Unlucky
5Red WingsFlyers30200001612-610.1676121800312292343419149328305510110.00%100100.00%01320271648.60%1649329949.98%660134249.18%62397926432029.4%6.5%87.1%93.6Unlucky
6Red WingsHurricanes3210000086240.667814220032308933183801093710807114.29%4175.00%01320271648.60%1649329949.98%660134249.18%66437024432158.3%9.0%94.5%103.5LUCKY
7Red WingsLightning431000001110160.750112031005240126523440012735368115320.00%13192.31%01320271648.60%1649329949.98%660134249.18%93639330522547.1%8.7%92.1%100.9DULL
8Red WingsJets2010100025-320.500246000101511820121782616495120.00%7271.43%01320271648.60%1649329949.98%660134249.18%39255515261225.0%3.9%93.6%97.5DULL
9Red WingsCapitals31200000710-320.33371421003310802621330131393870900.00%8275.00%01320271648.60%1649329949.98%660134249.18%61397724401946.7%8.8%92.4%101.1DULL
10Red WingsPanthers3110010088030.500815230023308634242711262938767114.29%80100.00%01320271648.60%1649329949.98%660134249.18%66437523401946.7%9.3%93.7%103.0LUCKY
11Red WingsBruins32000100108250.833101929005230912530342130382989400.00%12283.33%01320271648.60%1649329949.98%660134249.18%61398024401862.5%11.0%93.8%104.8LUCKY
12Red WingsSenators40400000816-800.000813210033201023435330153363896500.00%9366.67%01320271648.60%1649329949.98%660134249.18%815110233552638.1%7.8%89.5%97.4Unlucky
13Red WingsCanadiens41201000910-140.50091524012151124393252115943369413323.08%18194.44%01320271648.60%1649329949.98%660134249.18%875710131542540.0%7.3%93.7%101.0DULL
14Red WingsSabres41300000813-520.2508142200143011932483901495026801417.14%12191.67%01320271648.60%1649329949.98%660134249.18%86569931532536.8%6.7%91.3%98.0DULL
15Red WingsMaple Leafs404000001019-900.000101828004330109402742014845228210110.00%10280.00%01320271648.60%1649329949.98%660134249.18%85569932552634.6%9.2%87.2%96.3FUN
16Red WingsBlues2010100014-320.50012301000155191320385241046500.00%50100.00%01320271648.60%1649329949.98%660134249.18%45285016291420.0%1.8%95.3%97.1DULL
17Red WingsBlackhawks2200000074341.00071118002140722723220751712406233.33%6266.67%01320271648.60%1649329949.98%660134249.18%51354214261371.4%9.7%94.7%104.4LUCKY
18Red WingsBlue Jackets30300000918-900.0009162500441079273121010931186811436.36%7185.71%01320271648.60%1649329949.98%660134249.18%63427523411922.7%11.4%83.5%94.9FUN
19Red WingsPredators2110000074320.500713200002505316152206398327114.29%30100.00%01320271648.60%1649329949.98%660134249.18%48324315271460.0%13.2%93.7%106.9LUCKY
20Red WingsWild2020000038-500.00036900201036111411066252247300.00%10550.00%01320271648.60%1649329949.98%660134249.18%42254816281450.0%8.3%87.9%96.2Unlucky
21Red WingsOilers2020000038-500.000358003000492018110672018535240.00%8187.50%01320271648.60%1649329949.98%660134249.18%40265316251212.5%6.1%88.1%94.2Unlucky
22Red WingsFlames2010100088020.50081523003221471815131793014355240.00%7357.14%01320271648.60%1649329949.98%660134249.18%41275016281354.5%17.0%89.9%106.9FUN
23Red WingsCanucks2200000053241.0005101500500056192215069222940600.00%7185.71%01320271648.60%1649329949.98%660134249.18%43274916271371.4%8.9%95.7%104.6Unlucky
24Red WingsAvalanche2010001069-320.5006814000321572121145862214606350.00%7271.43%01320271648.60%1649329949.98%660134249.18%41265517281330.0%10.5%89.5%100.1FUN
25Red WingsKings2010100056-120.500591400022151161714461168409222.22%40100.00%01320271648.60%1649329949.98%660134249.18%43284817281333.3%9.8%90.2%100.0FUN
26Red WingsCoyotes2110000067-120.50061218002040552010250551913599333.33%40100.00%01320271648.60%1649329949.98%660134249.18%45314617281230.0%10.9%87.3%98.2FUN
27Red WingsStars2020000029-700.0002460000205615202106223858700.00%4325.00%01320271648.60%1649329949.98%660134249.18%48334514251225.0%3.6%85.5%89.1Unlucky
28Red WingsDucks2020000036-300.00035800210056182117068158398225.00%4250.00%01320271648.60%1649329949.98%660134249.18%51354114261320.0%5.4%91.2%96.5DULL
29Red WingsSharks20200000410-600.0004812002020502119100652716354125.00%7185.71%01320271648.60%1649329949.98%660134249.18%43294915261225.0%8.0%84.6%92.6Unlucky
30Red WingsKraken2200000083541.00081321003230662523180521425657114.29%10280.00%01320271648.60%1649329949.98%660134249.18%49314315271487.5%12.1%94.2%106.4LUCKY
31Red WingsGolden Knights20200000512-700.0005813002210601915260791933436233.33%12558.33%01320271648.60%1649329949.98%660134249.18%42284915271330.0%8.3%84.8%93.1Unlucky
_Vs Division26815012006484-20200.38564114178012218231757256230267499227622559868913.24%821087.80%01320271648.60%1649329949.98%660134249.18%56236865220735216842.6%8.5%91.5%100.0DULL
_Vs Conference50172801202134166-32400.400134241375025041424144649145549022182252442011231271814.17%1511987.42%01320271648.60%1649329949.98%660134249.18%1079706124740469033044.1%9.3%90.9%100.2FUN
_Since Last GM Reset82254705212209272-63660.402209374583037657709231679474176136293285267418642254017.78%2564881.25%01320271648.60%1649329949.98%660134249.18%179811802021661113154643.0%9.0%90.7%99.7FUN
Total82254705212209272-63660.402209374583037657709231679474176136293285267418642254017.78%2564881.25%01320271648.60%1649329949.98%660134249.18%179811802021661113154643.0%9.0%90.7%99.7FUN

Puck Time
Offensive Zone 21
Neutral Zone 13
Defensive Zone 24
Puck Time
Offensive Zone Start 2716
Neutral Zone Start 1342
Defensive Zone Start 3299
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 3629
Faceoffs Lost 3728
Team Average Shots after League Average Shots after
1st Period 9.710.69
2nd Period 18.721.35
3rd Period 28.032.03
Overtime 28.432.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.91.08
2nd Period 1.62.13
3rd Period 2.52.97
Overtime 2.63.07
Even Strenght Goal 169
PP Goal 40
PK Goal 0
Empty Net Goal 0
Home Away
Win 1714
Lost 2423
Overtime Lost 04
PP Attempt 225
PP Goal 40
PK Attempt 256
PK Goal Against 48
Home
Shots For 28.2
Shots Against 35.8
Goals For 2.5
Goals Against 3.3
Hits 22.7
Shots Blocked 10.4
Pim 8.2