Red Wings
GP: 82 | W: 40 | L: 33 | OTL: 9 | P: 89
GF: 247 | GA: 253 | PP%: 14.95% | PK%: 80.59%
DG: Martin Dufour | Morale : 43 | Moyenne d'Équipe : 81
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Zach PariseX100.006543867371859999989999979999993475860
2Patrice BergeronX100.005343997875949699999996986199992674860
3Jaromir JagrX100.0041996178979998689998979999992173830
4Ryan Nugent-HopkinsX100.006441868173839286959985908789847970810
5Mikko RantanenX100.006535768886919698759887738279628073810
6Artemi Panarin X100.005742898968919889469894767381813074810
7Elias LindholmX100.006735827688888888859688848182757971800
8Gabriel BourqueX100.006845936272949783998587979180813070790
9Kyle OkposoX100.007562707577828882588289879294996468790
10Curtis LazarX100.008556937075777896698784756984804662770
11Nino NiederreiterX100.006835767579839579747677807692846770750
12Eric FehrX100.006135726583748573848970847799942067740
13Kristopher LetangX100.008547858274979998259781939095992570850
14P.K. SubbanX100.008450728277959998259892869096993675840
15Marco ScandellaX100.006640916780949884257873986792845164790
16Sami VatanenX100.007243858172788685258677959084774070780
17Simon DesprésX100.008134997480857497258883767187825466770
18Joe Morrow (R)X100.007341846674777282307785795471617069710
Rayé
1Brent SeabrookX100.007942887580899198257981988299991520820
MOYENNE D'ÉQUIPE100.00674186757787919059908688819086466780
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Ben Bishop100.00978687989999999999969883933371930
2David Rittich (R)100.00929593859696989797929176825675900
Rayé
MOYENNE D'ÉQUIPE100.0095919092989899989894958088457392
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill42938242697965USA4621,900,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Patrice BergeronRed WingsC823468102800861662838416612.01%41168020.5012183046244257102817151.00%15433833011.2127000787
2Zach PariseRed WingsLW8251489994401651292747815918.61%30165820.2314142859242426162615247.29%5353541141.19270001185
3Jaromir JagrRed WingsRW82224062200892189579011.64%29147618.0061117332420112943251.91%1311727000.8425000036
4P.K. SubbanRed WingsD82153752129915195143146566510.27%98190023.184812212681347215210.00%04049000.5500102212
5Elias LindholmRed WingsC82192746-5500112133210651379.05%23122915.00000090000282049.74%11403615000.7500000242
6Mikko RantanenRed WingsRW82192746748013375199741409.55%25135416.52145182031012240336.84%576912100.6801000046
7Ryan Nugent-HopkinsRed WingsC8293645820011214813039806.92%32134416.40055172031012200051.77%11572122000.6712000112
8Artemi Panarin Red WingsLW82212041920109473213571129.86%28137916.834152620200014710027.14%706822000.5911011421
9Kyle OkposoRed WingsLW79141832-4133251417019142977.33%26118915.06000001013532037.66%774718000.5411211101
10Gabriel BourqueRed WingsRW82121931-81210638291396613.19%28117114.2900004000002054.69%64516010.5300002010
11Kristopher LetangRed WingsD82127281340015512611954510.84%95195923.90055212680111242000.00%03056000.2900000112
12Simon DesprésRed WingsD825111652073816934217.25%75130515.9202204000027120.00%02621000.2500000103
13Curtis LazarRed WingsLW8251015-61915765013042893.85%146768.25000000002440038.46%13217000.4400021001
14Sami VatanenRed WingsD8211112-35151131209226381.09%91153818.770114120011195000.00%02039000.1600001000
15Nino NiederreiterRed WingsRW82639-710052437326548.22%196037.3600002000000244.44%1875000.3000000012
16Marco ScandellaRed WingsD65279-2160641105818303.45%63135720.8911221360001137100.00%0638000.1300000100
17Eric FehrRed WingsC82538-932029632562520.00%175977.2900000000001054.76%25215000.2700000001
18Brent SeabrookRed WingsD46178-2412073614011142.50%5595420.740551107011294000.00%01329000.1700000000
19Joe MorrowRed WingsD53156718051542815143.57%5090317.0600000000051010.00%0827000.1300000000
20Kyle CliffordRed Wings (DET)LW3000020912210.00%1248.020000000001000.00%101000.0000000000
Stats d'équipe Total ou en Moyenne1476243424667126288018041820256282514499.48%8402430716.4742751172482264101424501723361450.00%5058508483260.55924348313441
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1David RittichRed Wings46231750.9102.892634421271407606010.625164537680
2Ben BishopRed Wings41171640.8973.142333001221189505000.66793745214
Stats d'équipe Total ou en Moyenne87403390.9043.0149684224925961111010.640258282894


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Artemi Panarin Red WingsLW291991-10-30 19:53:08No173 Lbs5 ft11NoNoNo7Pro & Farm5,000,000$5,000,000$0$No5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$
Ben BishopRed WingsG341986-11-21 17:11:14No215 Lbs6 ft7NoNoNo2Pro & Farm6,000,000$6,000,000$0$No6,000,000$
Brent SeabrookRed WingsD361985-04-20 11:11:13No230 Lbs6 ft3NoNoNo3Pro & Farm4,250,000$4,250,000$0$No4,250,000$4,250,000$
Curtis LazarRed WingsLW261995-02-02 23:11:13No195 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$2,000,000$0$No
David RittichRed WingsG281992-08-19 04:21:53Yes206 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$No
Elias LindholmRed WingsC261994-12-02 17:11:13No195 Lbs6 ft1NoNoNo3Pro & Farm3,250,000$3,250,000$0$No3,250,000$3,250,000$
Eric FehrRed WingsC351985-09-07 11:11:13No209 Lbs6 ft4NoNoNo2Pro & Farm2,000,000$2,000,000$0$No2,000,000$
Gabriel BourqueRed WingsRW301990-09-23 11:11:13No200 Lbs5 ft10NoNoNo1Pro & Farm3,000,000$3,000,000$0$No
Jaromir JagrRed WingsRW491972-02-15 05:11:13No229 Lbs6 ft3NoNoNo3Pro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$
Joe MorrowRed WingsD281992-12-09 05:11:13Yes196 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$No700,000$
Kristopher LetangRed WingsD341987-04-24 23:11:13No201 Lbs6 ft0NoNoNo2Pro & Farm5,500,000$5,500,000$0$No5,500,000$
Kyle OkposoRed WingsLW331988-04-16 23:11:13No212 Lbs6 ft1NoNoNo1Pro & Farm4,000,000$4,000,000$0$No
Marco ScandellaRed WingsD301990-11-23 17:11:13No220 Lbs6 ft3NoNoNo1Pro & Farm3,500,000$3,500,000$0$No
Mikko RantanenRed WingsRW241996-10-29 12:45:34No215 Lbs6 ft4NoNoNo2Pro & Farm4,000,000$4,000,000$0$No4,000,000$
Nino NiederreiterRed WingsRW281992-09-08 05:11:13No218 Lbs6 ft2NoNoNo2Pro & Farm1,850,000$1,850,000$0$No1,850,000$
P.K. SubbanRed WingsD321989-05-13 11:11:13No210 Lbs6 ft0NoNoNo4Pro & Farm5,000,000$5,000,000$0$No5,000,000$5,000,000$5,000,000$
Patrice BergeronRed WingsC351985-07-24 11:11:13No205 Lbs6 ft0NoNoNo1Pro & Farm5,000,000$5,000,000$0$No
Ryan Nugent-HopkinsRed WingsC281993-04-12 23:11:13No191 Lbs6 ft0NoNoNo1Pro & Farm4,000,000$4,000,000$0$No
Sami VatanenRed WingsD291991-06-03 23:11:13No189 Lbs5 ft10NoNoNo1Pro & Farm3,000,000$3,000,000$0$No
Simon DesprésRed WingsD291991-07-27 17:11:13No214 Lbs6 ft4NoNoNo1Pro & Farm2,950,000$2,950,000$0$No
Zach PariseRed WingsLW361984-07-28 05:11:13No196 Lbs5 ft11NoNoNo3Pro & Farm6,000,000$6,000,000$0$No6,000,000$6,000,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2131.38206 Lbs6 ft12.103,633,333$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
76,300,000$48,050,000$28,000,000$10,000,000$5,000,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach ParisePatrice BergeronJaromir Jagr30122
2Artemi Panarin Ryan Nugent-HopkinsMikko Rantanen30122
3Kyle OkposoElias LindholmGabriel Bourque30122
4Curtis LazarEric FehrNino Niederreiter10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kristopher LetangP.K. Subban34122
2Marco ScandellaSami Vatanen34122
3Simon DesprésJoe Morrow32122
4Kristopher LetangP.K. Subban0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach ParisePatrice BergeronJaromir Jagr60122
2Artemi Panarin Ryan Nugent-HopkinsMikko Rantanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kristopher LetangP.K. Subban60122
2Marco ScandellaSami Vatanen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zach ParisePatrice Bergeron60122
2Jaromir JagrArtemi Panarin 40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kristopher LetangP.K. Subban60122
2Marco ScandellaSami Vatanen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Parise60122Kristopher LetangP.K. Subban60122
2Patrice Bergeron40122Marco ScandellaSami Vatanen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zach ParisePatrice Bergeron60122
2Jaromir JagrArtemi Panarin 40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kristopher LetangP.K. Subban60122
2Marco ScandellaSami Vatanen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach ParisePatrice BergeronJaromir JagrKristopher LetangP.K. Subban
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach ParisePatrice BergeronJaromir JagrKristopher LetangP.K. Subban
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Elias Lindholm, Gabriel Bourque, Kyle OkposoElias Lindholm, Gabriel BourqueKyle Okposo
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Simon Després, Joe Morrow, Marco ScandellaSimon DesprésJoe Morrow, Marco Scandella
Tirs de Pénalité
Zach Parise, Patrice Bergeron, Jaromir Jagr, Artemi Panarin , Mikko Rantanen
Gardien
#1 : David Rittich, #2 : Ben Bishop
Lignes d'Attaque Perso. en Prol.
Zach Parise, Patrice Bergeron, Jaromir Jagr, Artemi Panarin , Mikko Rantanen, Ryan Nugent-Hopkins, Ryan Nugent-Hopkins, Elias Lindholm, Gabriel Bourque, Kyle Okposo, Curtis Lazar
Lignes de Défense Perso. en Prol.
Kristopher Letang, P.K. Subban, Marco Scandella, Sami Vatanen, Simon Després


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Avalanche3120000046-22110000045-11010000001-120.3334711010220881931380842814666116.67%7185.71%01003194551.57%972192150.60%554113848.68%664164244824
2Blackhawks30300000310-71010000023-12020000017-600.00036910210088352825089351453400.00%7271.43%01003194551.57%972192150.60%554113848.68%694563224723
3Blues31101000141042110000012931000100021140.6671423370047211063844222105381470500.00%7271.43%01003194551.57%972192150.60%554113848.68%694364234725
4Bruins6320000121201312000001011-132000001119270.5832138590078601695863483185527515036513.89%30390.00%01003194551.57%972192150.60%554113848.68%14795127499045
5Canadiens521010011816220001001660321000001210270.7001829470057521645856493164575010423521.74%20290.00%11003194551.57%972192150.60%554113848.68%11372116427637
6Canucks30200100610-41010000013-22010010057-210.167691500222085332823110531064100.00%000.00%01003194551.57%972192150.60%554113848.68%694464224825
7Capitals3110001014951000001021121100000128440.66714253900454210435284039729336310330.00%14471.43%01003194551.57%972192150.60%554113848.68%734965244622
8Devils302000011013-32010000179-21010000034-110.1671019290055009646242461133137599222.22%16381.25%21003194551.57%972192150.60%554113848.68%644073254722
9Ducks320000101358110000008262100001053261.0001324370045321063931337105431857700.00%90100.00%01003194551.57%972192150.60%554113848.68%674169254823
10Flames3200100016972100100011831100000051461.000162945005911106353929399378628112.50%4175.00%11003194551.57%972192150.60%554113848.68%674468244623
11Flyers4300010013103210001006602200000074370.8751324370074201124245250124393411214428.57%17382.35%01003194551.57%972192150.60%554113848.68%875186346633
12Islanders321000001514111000000321211000001212040.667152843005460100452629010638226411327.27%11463.64%21003194551.57%972192150.60%554113848.68%664167254622
13Kings30101100610-4100010003212010010038-530.500610160031111033033355113221063300.00%5180.00%01003194551.57%972192150.60%554113848.68%674267244723
14Maple Leafs5220100016151211000007613110100099060.6001628440065411464643552154447111930620.00%33778.79%01003194551.57%972192150.60%554113848.68%11165107448141
15Oilers3120000047-3110000002112020000026-420.33347110011209233263308828874200.00%4250.00%01003194551.57%972192150.60%554113848.68%684461234924
16Penguins42100100111011000010023-13210000097250.625111324003260137425044113033226515320.00%11281.82%21003194551.57%972192150.60%554113848.68%946084326332
17Predators321000001284211000004311100000085340.66712223401615098383129095218624125.00%4175.00%11003194551.57%972192150.60%554113848.68%664164224925
18Rangers32001000954210010007431100000021161.00091322004311982344301833231571417.14%10190.00%01003194551.57%972192150.60%554113848.68%684163264824
19Sabres51400000924-1531200000810-220200000114-1320.20091423003420158505355014153651013113.23%20575.00%11003194551.57%972192150.60%554113848.68%11977107397237
20Senateurs513001001116-53020010059-42110000067-130.300111829004250132434841014553601363139.68%25772.00%01003194551.57%972192150.60%554113848.68%11466106458342
21Sharks3110001078-1210000105321010000025-340.66771219001232853129244943112657228.57%6183.33%01003194551.57%972192150.60%554113848.68%684266275024
22Stars30200010810-2201000107701010000013-220.33381422002232922928347993812734125.00%6183.33%01003194551.57%972192150.60%554113848.68%664068245025
23Wild3110010078-1211000005501000010023-130.5007121900241097384217079271465600.00%70100.00%01003194551.57%972192150.60%554113848.68%694264264924
Total82303306643247253-641141504332127118941161802311120135-15890.5432474246711285866615256288687078248259784063218042814214.95%2735380.59%101003194551.57%972192150.60%554113848.68%1876117917946831306656
_Since Last GM Reset82303306643247253-641141504332127118941161802311120135-15890.5432474246711285866615256288687078248259784063218042814214.95%2735380.59%101003194551.57%972192150.60%554113848.68%1876117917946831306656
_Vs Conference46191703313147152-52268023126367-424139010018485-1520.565147249396005349416141648848044019144246150010302243616.07%2074180.19%81003194551.57%972192150.60%554113848.68%10606611007391722362
_Vs Division26912021027591-161337011013642-61365010013949-10250.4817512720200252622376925526324887892593216101512013.25%1282481.25%21003194551.57%972192150.60%554113848.68%606377566221404204

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8289SOL124742467125622597840632180412
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8230336643247253
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114154332127118
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4116182311120135
Derniers 10 Matchs
WLOTWOTL SOWSOL
340201
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2814214.95%2735380.59%10
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
8868707824885866615
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
1003194551.57%972192150.60%554113848.68%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1876117917946831306656


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2020-12-189Sabres4Red Wings5WSommaire du Match
3 - 2020-12-1919Red Wings4Penguins2WSommaire du Match
5 - 2020-12-2131Red Wings0Blackhawks4LSommaire du Match
7 - 2020-12-2344Bruins3Red Wings6WSommaire du Match
9 - 2020-12-2554Senateurs4Red Wings3LXSommaire du Match
11 - 2020-12-2766Red Wings0Sabres6LSommaire du Match
13 - 2020-12-2981Stars5Red Wings6WXXSommaire du Match
15 - 2020-12-3192Red Wings6Bruins4WSommaire du Match
17 - 2021-01-02104Devils5Red Wings4LSommaire du Match
19 - 2021-01-04116Red Wings3Canadiens5LR5Sommaire du Match
21 - 2021-01-06132Bruins6Red Wings3LSommaire du Match
23 - 2021-01-08142Red Wings5Senateurs4WSommaire du Match
25 - 2021-01-10152Sabres3Red Wings2LSommaire du Match
27 - 2021-01-12166Sharks2Red Wings3WSommaire du Match
29 - 2021-01-14179Red Wings4Maple Leafs2WSommaire du Match
32 - 2021-01-17194Rangers1Red Wings2WXSommaire du Match
33 - 2021-01-18206Red Wings0Avalanche1LSommaire du Match
35 - 2021-01-20218Avalanche0Red Wings1WSommaire du Match
37 - 2021-01-22230Red Wings1Oilers2LSommaire du Match
38 - 2021-01-23238Red Wings1Capitals2LSommaire du Match
40 - 2021-01-25251Oilers1Red Wings2WSommaire du Match
42 - 2021-01-27266Rangers3Red Wings5WSommaire du Match
44 - 2021-01-29279Red Wings2Islanders3LSommaire du Match
45 - 2021-01-30289Penguins3Red Wings2LXSommaire du Match
47 - 2021-02-01299Red Wings1Maple Leafs4LSommaire du Match
49 - 2021-02-03315Capitals1Red Wings2WXXSommaire du Match
51 - 2021-02-05325Red Wings4Penguins1WSommaire du Match
53 - 2021-02-07339Red Wings3Devils4LSommaire du Match
55 - 2021-02-09348Red Wings1Penguins4LSommaire du Match
56 - 2021-02-10356Sabres3Red Wings1LSommaire du Match
58 - 2021-02-12372Islanders2Red Wings3WSommaire du Match
60 - 2021-02-14385Red Wings4Maple Leafs3WXSommaire du Match
62 - 2021-02-16395Wild2Red Wings3WSommaire du Match
63 - 2021-02-17408Red Wings2Wild3LXSommaire du Match
65 - 2021-02-19417Devils4Red Wings3LXXSommaire du Match
67 - 2021-02-21433Red Wings2Sharks5LSommaire du Match
68 - 2021-02-22441Wild3Red Wings2LSommaire du Match
70 - 2021-02-24453Red Wings2Blues1WXSommaire du Match
71 - 2021-02-25465Red Wings1Senateurs3LSommaire du Match
73 - 2021-02-27476Maple Leafs3Red Wings2LSommaire du Match
75 - 2021-03-01489Red Wings1Stars3LSommaire du Match
77 - 2021-03-03497Senateurs2Red Wings0LSommaire du Match
78 - 2021-03-04510Red Wings1Oilers4LSommaire du Match
80 - 2021-03-06521Blackhawks3Red Wings2LSommaire du Match
81 - 2021-03-07531Red Wings2Rangers1WSommaire du Match
83 - 2021-03-09543Red Wings3Flyers1WSommaire du Match
85 - 2021-03-11555Senateurs3Red Wings2LSommaire du Match
86 - 2021-03-12567Stars2Red Wings1LSommaire du Match
88 - 2021-03-14583Flames7Red Wings9WSommaire du Match
90 - 2021-03-16591Red Wings8Predators5WSommaire du Match
92 - 2021-03-18608Ducks2Red Wings8WSommaire du Match
93 - 2021-03-19613Red Wings1Sabres8LSommaire du Match
95 - 2021-03-21628Red Wings11Capitals6WSommaire du Match
96 - 2021-03-22638Canadiens4Red Wings5WXR5Sommaire du Match
98 - 2021-03-24654Red Wings10Islanders9WSommaire du Match
100 - 2021-03-26664Maple Leafs3Red Wings5WSommaire du Match
101 - 2021-03-27675Red Wings1Kings5LSommaire du Match
103 - 2021-03-29689Kings2Red Wings3WXSommaire du Match
105 - 2021-03-31700Red Wings2Kings3LXSommaire du Match
107 - 2021-04-02708Red Wings2Bruins3LXXSommaire du Match
108 - 2021-04-03718Avalanche5Red Wings3LSommaire du Match
110 - 2021-04-05733Red Wings3Ducks2WXXSommaire du Match
112 - 2021-04-07743Bruins2Red Wings1LSommaire du Match
113 - 2021-04-08757Predators0Red Wings2WSommaire du Match
115 - 2021-04-10766Red Wings3Bruins2WSommaire du Match
117 - 2021-04-12779Red Wings1Blackhawks3LSommaire du Match
118 - 2021-04-13789Red Wings4Flyers3WSommaire du Match
119 - 2021-04-14793Flames1Red Wings2WXSommaire du Match
121 - 2021-04-16812Blues7Red Wings11WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
123 - 2021-04-18827Flyers3Red Wings4WSommaire du Match
125 - 2021-04-20839Red Wings5Canadiens2WR5Sommaire du Match
128 - 2021-04-23855Sharks1Red Wings2WXXSommaire du Match
130 - 2021-04-25866Red Wings4Canadiens3WR5Sommaire du Match
132 - 2021-04-27876Flyers3Red Wings2LXSommaire du Match
133 - 2021-04-28884Red Wings2Ducks1WSommaire du Match
135 - 2021-04-30902Blues2Red Wings1LSommaire du Match
136 - 2021-05-01908Red Wings3Canucks4LXSommaire du Match
138 - 2021-05-03920Red Wings2Canucks3LSommaire du Match
141 - 2021-05-06932Canucks3Red Wings1LSommaire du Match
142 - 2021-05-07942Red Wings5Flames1WSommaire du Match
145 - 2021-05-10959Predators3Red Wings2LSommaire du Match
151 - 2021-05-16984Canadiens2Red Wings1LXXR5Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005500450020001500
Prix des Billets97887461140
Assistance233,700214,225175,27581,78259,136
Attendance PCT95.00%95.00%95.00%99.73%96.16%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 18637 - 95.57% 2,264,135$92,829,553$19500100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
77,153,939$ 76,300,000$ 1,950,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
501,974$ 75,253,939$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 514,474$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
52,384$ 19,015,839$ 18,963,455$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
75,253,939$ 14,746,061$ 90,000,000$ 30,253,939$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Zach PariseAGE:36PO:34OV:86
Artemi Panarin AGE:29PO:30OV:81
Kyle OkposoAGE:33PO:64OV:79
Curtis LazarAGE:26PO:46OV:77
Brady Tkachuk (R)AGE:21PO:89OV:74
Kyle Clifford (R)AGE:30PO:46OV:72
Oskar Lindblom (R)AGE:24PO:56OV:71
Tomas Nosek (R)AGE:28PO:36OV:70
Jason Robertson (R)AGE:21PO:76OV:66
Scott Wilson (R)AGE:29PO:52OV:65
Par Lindholm (R)AGE:29PO:36OV:64
Patrice BergeronAGE:35PO:26OV:86
Ryan Nugent-HopkinsAGE:28PO:79OV:81
Elias LindholmAGE:26PO:79OV:80
Alexander Kerfoot (R)AGE:26PO:44OV:76
Eric FehrAGE:35PO:20OV:74
Nick Suzuki (R)AGE:21PO:85OV:72
Teddy Blueger (R)AGE:26PO:66OV:71
Logan Brown (R)AGE:23PO:85OV:69
Ryan MacInnis (R)AGE:25PO:72OV:65
Ryan Poehling (R)AGE:22PO:82OV:64
Eetu Luostarinen (R)AGE:22PO:74OV:63
Connor Bunnaman (R)AGE:23PO:61OV:63
Joseph Gambardella (R)AGE:27PO:40OV:63
Jaromir JagrAGE:49PO:21OV:83
Mikko RantanenAGE:24PO:80OV:81
Gabriel BourqueAGE:30PO:30OV:79
Justin Fontaine (R)AGE:33PO:12OV:77
Ryan Hartman (R)AGE:26PO:73OV:76
Nino NiederreiterAGE:28PO:67OV:75
John Hayden (R)AGE:26PO:63OV:67
Kevin Roy (R)AGE:28PO:55OV:66
Zach Senyshyn (R)AGE:24PO:83OV:63
Logan O'Connor (R)AGE:24PO:56OV:63

Défense #1Défense #2Gardien
Kristopher LetangAGE:34PO:25OV:85
P.K. SubbanAGE:32PO:36OV:84
Brent SeabrookAGE:36PO:15OV:82
Marco ScandellaAGE:30PO:51OV:79
Sami VatanenAGE:29PO:40OV:78
Simon DesprésAGE:29PO:54OV:77
Jarred Tinordi (R)AGE:29PO:68OV:73
Joe Morrow (R)AGE:28PO:70OV:71
Will Butcher (R)AGE:26PO:53OV:71
Madison Bowey (R)AGE:26PO:71OV:70
Nicolas Hague (R)AGE:22PO:77OV:69
Tyler Wotherspoon (R)AGE:28PO:57OV:68
Taylor Chorney (R)AGE:34PO:53OV:67
Urho Vaakanainen (R)AGE:22PO:83OV:65
Sami Niku (R)AGE:24PO:56OV:65
Guillaume Brisebois (R)AGE:23PO:64OV:56
Ben BishopAGE:34PO:33OV:93
David Rittich (R)AGE:28PO:56OV:90
Justin PetersAGE:34PO:26OV:84
Jeff Glass (R)AGE:35PO:30OV:82
Dustin Tokarski (R)AGE:31PO:55OV:79

Éspoirs

Astuces sur les Filtres (Anglais seulement)
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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Albin GreweRed Wings
Alex GreenRed Wings
Alexander KhovanovRed Wings
Anttoni HonkaRed Wings
Bode WildeRed Wings
Cam MorrisonRed Wings
Cam YorkRed Wings
Cross HanasRed Wings
Daniel TorgerssonRed Wings
Danil GushchinRed Wings
Filip JohanssonRed Wings
Fredrik KarlstromRed Wings
Gabriel FortierRed Wings
Hunter JonesRed Wings
James De HaasRed Wings
Jamie DrysdaleRed Wings
Jay O'BrienRed Wings
Jeremy GregoireRed Wings
Joel HoferRed Wings
Josh BrookRed Wings
Julien NantelRed Wings
Justus AnnunenRed Wings
Kaedan KorczakRed Wings
Kirill KaprizovRed Wings
Kristopher FoucaultRed Wings
Lane ZablockiRed Wings
Lassi ThomsonRed Wings
Mattias BackmanRed Wings
Maxime MacenauerRed Wings
Michael KrutilRed Wings
Patrik PuistolaRed Wings
Sam StangeRed Wings
Scott PerunovichRed Wings
Scott ReedyRed Wings
Sebastian CollbergRed Wings
Sergey ZborovskiyRed Wings
Simon LundmarkRed Wings
Thimo NicklRed Wings
Vladislav KaraRed Wings
Wade AllisonRed Wings
William BittenRed Wings
Xavier BernardRed Wings
Yann SauveRed Wings
Yannick VeilleuxRed Wings

Choix au Repêchage

Année R1R2R3R4R5R6
16DET DET DET DET DET DET
17DET DET DET DET DET DET
18DET DET DET DET DET DET
19DET DET DET DET DET DET
20DET DET DET DET DET DET






[2021-03-16 20:00:20] - New Record for Team's Most Points (32) in 1 Game for Red Wings!
[2021-03-16 20:00:20] - New Record for Team's Most Assists (21) in 1 Game for Red Wings!
[2021-03-16 20:00:20] - New Record for Team's Most Goals (11) in 1 Game for Red Wings!
[2021-02-06 13:13:26] - TRADE : From Red Wings to Blues : Eric Comrie (74).
[2021-02-06 13:13:26] - TRADE : From Blues to Red Wings : Jeff Glass (82).
[2021-02-02 20:56:50] - Eric Comrie was added to Red Wings.
[2020-12-21 17:35:15] - Hunter Smith has been deleted from Red Wings.
[2020-12-17 08:46:48] - Red Wings hired Dallas Eakins for 900 000 $ for 2 year(s).
[2020-10-31 17:22:08] - Michael Krutil has been added to Red Wings.
[2020-10-31 17:20:38] - Thimo Nickl has been added to Red Wings.
[2020-10-31 17:18:23] - Sam Stange has been added to Red Wings.
[2020-10-31 08:32:27] - Danil Gushchin has been added to Red Wings.
[2020-10-30 16:36:03] - Cross Hanas has been added to Red Wings.
[2020-10-30 16:31:56] - Daniel Torgersson has been added to Red Wings.
[2020-10-24 17:35:39] - Jamie Drysdale has been added to Red Wings.
[2020-10-18 10:14:49] - Par Lindholm was added to Red Wings.
[2020-10-16 18:25:24] - Logan O'Connor was added to Red Wings.
[2020-10-10 18:38:27] - Drew Stafford was released.
[2020-10-10 18:38:27] - Drew Stafford retired from Red Wings
[2020-08-09 10:15:32] - TRADE : From Red Wings to Avalanche : Kristers Gudlevskis (75).
[2020-08-09 09:54:14] - Julius Honka was released.
[2020-08-09 09:54:14] - Red Wings paid 0 $ to release Julius Honka.
[2020-08-09 09:52:45] - TRADE : From Avalanche to Red Wings : Kristers Gudlevskis (75).
[2020-08-01 09:19:00] - Eddie Lack was released.
[2020-08-01 09:19:00] - Eddie Lack retired from Red Wings
[2020-07-17 10:22:58] - Hannu Toivonen was released.
[2020-07-17 10:22:58] - Hannu Toivonen retired from Red Wings
[2020-07-11 19:46:23] - Ryan MacInnis was added to Red Wings.
[2020-07-11 19:46:16] - Nicolas Hague was added to Red Wings.
[2020-07-11 19:46:13] - Nick Suzuki was added to Red Wings.
[2020-07-11 19:46:06] - Jason Robertson was added to Red Wings.
[2020-07-11 19:46:01] - Eetu Luostarinen was added to Red Wings.
[2020-07-11 19:45:57] - Connor Bunnaman was added to Red Wings.
[2020-07-11 19:45:37] - Nick Suzuki has been deleted from Red Wings.
[2020-07-11 19:45:31] - Nicolas Hague has been deleted from Red Wings.
[2020-07-11 19:45:25] - Ryan MacInnis has been deleted from Red Wings.
[2020-07-11 19:45:13] - Jason Robertson has been deleted from Red Wings.
[2020-07-11 19:45:08] - Eetu Luostarinen has been deleted from Red Wings.
[2020-07-11 19:45:00] - Connor Bunnaman has been deleted from Red Wings.
[2020-07-11 09:37:01] - Hudson Fasching was released.
[2020-07-11 09:37:01] - Red Wings paid 0 $ to release Hudson Fasching.
[2020-07-11 09:36:41] - Chase De Leo was released.
[2020-07-11 09:36:41] - Red Wings paid 0 $ to release Chase De Leo.
[2020-06-20 09:49:10] - Zachary Lauzon has been deleted from Red Wings.
[2020-06-15 00:46:07] - TRADE : From Red Wings to Wild : Mackenzie Blackwood (85), Jacob Josefson (76).
[2020-06-15 00:46:07] - TRADE : From Wild to Red Wings : Gabriel Bourque (79), David Rittich (87).
[2020-06-10 00:43:37] - TRADE : From Wild to Red Wings : 65 000 000 $ (Money).
[2020-06-10 00:43:37] - TRADE : From Red Wings to Wild : Y:15-RND:3-OTT.
[2020-06-10 00:43:09] - TRADE : From Penguins to Red Wings : Justin Peters (82).
[2020-06-10 00:43:09] - TRADE : From Red Wings to Penguins : Michael Hutchinson (83), Y:15-RND:2-DET.
[2020-06-10 00:39:21] - Joe Sacco contract with Red Wings has ended.
[2020-06-06 23:43:00] - Red Wings was eliminated at round 4 of year 14.
[2020-05-07 22:25:14] - Red Wings didn't make playoff for year 14.
[2019-12-01 10:46:17] - TRADE : From Kings to Red Wings : Sami Niku (59), Will Butcher (67).
[2019-12-01 10:46:17] - TRADE : From Red Wings to Kings : Brandon Montour (71).
[2019-10-16 18:06:49] - New Record for Team's Most Hits (46) in 1 Game for Red Wings!



[2021-05-13 17:03:45] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-05-12 19:01:59] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-05-08 16:04:33] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-05-07 13:51:08] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-05-07 13:51:04] Justin Fontaine from Red Wings has scored a Hat Trick!
[2021-05-06 18:14:54] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-05-05 17:39:38] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-05-03 18:06:19] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-05-02 07:48:18] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-30 13:47:38] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-29 20:47:43] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-27 16:10:25] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-26 18:27:01] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-26 18:26:57] Kevin Roy from Red Wings has scored a Hat Trick!
[2021-04-25 08:34:58] Sami Niku from Red Wings is back from Sprained Right Knee Injury.
[2021-04-25 08:34:58] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-24 17:41:37] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-23 16:12:26] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-21 20:44:45] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-19 20:53:47] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-17 09:20:36] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-16 20:13:56] Auto Lines Function has been run for Red Wings.
[2021-04-16 20:13:21] Red Wings roster errors : Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-04-16 19:58:40] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-16 19:58:34] Game 807 - Sami Niku from Red Wings is injured (Sprained Right Knee) and is out for 2 weeks.
[2021-04-14 19:51:57] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-13 21:07:22] Auto Lines Function has been run for Red Wings.
[2021-04-12 19:43:36] Both Red Wings and Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2021-04-11 09:52:27] Red Wings lines for next game are empty. Current rosters/lines are not erased.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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
Saison Régulière
1282342802594245224214117140135112210715411714012431231176682454016460274709022269993485488581275687575720963385516.27%3375284.57%41115222350.16%1113229048.60%592118749.87%1828107717867361380696
1582303306643247253-641141504332127118941161802311120135-15892474246711285866615256288687078248259784063218042814214.95%2735380.59%101003194551.57%972192150.60%554113848.68%1876117917946831306656
1582303306643247253-641141504332127118941161802311120135-15892474246711285866615256288687078248259784063218042814214.95%2735380.59%101003194551.57%972192150.60%554113848.68%1876117917946831306656
Total Saison Régulière24694940141717107397309123454409911537634333123495005865363387-242467391249198826244242222527823270625942449177795025552021570490013915.44%88315882.11%243121611351.06%3057613249.85%1700346349.09%558234365375210339932010