Please rotate your device to landscape mode for a better experience.
Connexion

Detroit Red Wings
GP: 35 | W: 18 | L: 10 | OTL: 7 | P: 58
GF: 95 | GA: 91 | PP%: 18.44% | PK%: 79.82%
DG: Eric G | Morale : 40 | Moyenne d’équipe : 74
Prochains matchs #498 vs California Golden Seals

Centre de jeu
Detroit Red Wings
18-10-7, 58pts
3
1 Vancouver Canucks
11-17-7, 35pts
Team Stats
L1SéquenceW1
8-5-4Fiche domicile6-10-3
10-5-3Fiche visiteur5-7-4
5-3-2Derniers 10 matchs3-6-1
2.71Buts par match 2.17
2.60Buts contre par match 3.00
18.44%Pourcentage en avantage numérique24.42%
79.82%Pourcentage en désavantage numérique77.78%
Seattle Kraken
16-18-1, 43pts
4
2 Detroit Red Wings
18-10-7, 58pts
Team Stats
W7SéquenceL1
9-6-0Fiche domicile8-5-4
7-12-1Fiche visiteur10-5-3
9-1-0Derniers 10 matchs5-3-2
2.40Buts par match 2.71
2.80Buts contre par match 2.60
16.22%Pourcentage en avantage numérique18.44%
82.24%Pourcentage en désavantage numérique79.82%
California Golden Seals
16-14-5, 49pts
Jour 89
Detroit Red Wings
18-10-7, 58pts
Statistiques d’équipe
OTL1SéquenceL1
7-7-4Fiche domicile8-5-4
9-7-1Fiche visiteur10-5-3
8-1-110 derniers matchs5-3-2
2.51Buts par match 2.71
2.57Buts contre par match 2.71
24.41%Pourcentage en avantage numérique18.44%
80.16%Pourcentage en désavantage numérique79.82%
Detroit Red Wings
18-10-7, 58pts
Jour 91
Tampa Bay Lightning
19-11-6, 59pts
Statistiques d’équipe
L1SéquenceW1
8-5-4Fiche domicile12-4-2
10-5-3Fiche visiteur7-7-4
5-3-210 derniers matchs6-2-2
2.71Buts par match 2.86
2.60Buts contre par match 2.86
18.44%Pourcentage en avantage numérique21.17%
79.82%Pourcentage en désavantage numérique84.42%
Tampa Bay Lightning
19-11-6, 59pts
Jour 94
Detroit Red Wings
18-10-7, 58pts
Statistiques d’équipe
W1SéquenceL1
12-4-2Fiche domicile8-5-4
7-7-4Fiche visiteur10-5-3
6-2-210 derniers matchs5-3-2
2.86Buts par match 2.71
2.39Buts contre par match 2.71
21.17%Pourcentage en avantage numérique18.44%
84.42%Pourcentage en désavantage numérique79.82%
Meneurs d'équipe
Buts
Dylan Larkin
18
Ryan O'ReillyPasses
Ryan O'Reilly
22
Points
Dylan Larkin
38
Plus/Moins
Matt Duchene
11
Victoires
Pyotr Kochetkov
15
Pourcentage d’arrêts
Pyotr Kochetkov
0.923

Statistiques d’équipe
Buts pour
95
2.71 GFG
Tirs pour
1172
33.49 Avg
Pourcentage en avantage numérique
18.4%
26 GF
Début de zone offensive
42.6%
Buts contre
91
2.60 GAA
Tirs contre
1028
29.37 Avg
Pourcentage en désavantage numérique
79.8%%
23 GA
Début de la zone défensive
34.9%
Informations de l'équipe

Directeur généralEric G
DivisionCentral Division
ConférenceWestern Conference
CapitaineDylan Larkin
Assistant #1John Marino
Assistant #2


Informations de l’aréna

NomLittle Caesars Arena
Capacité18,000
Assistance14,550
Billets de saison7,200


Informations de la formation

Équipe Pro21
Équipe Mineure31
Limite contact 52 / 250
Espoirs35


Finance

Revenu annuel à ce jour18,109,073$
Dépenses annuelles à ce jour34,654,648$
Revenus de la saison estimés24,500,511$
Dépenses de la saison estimées33,222,000$
Compte bancaire actuel44,796,988$
Compte bancaire projeté36,085,741$


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 SPÂgeContratSalaire
1Dylan Larkin (C)0X100.0076509190759498828787847383777555408002815,944,444$
2Marko Dano0X100.0096498589708987806980837478797455407803026,100,000$
3Ryan O'Reilly0X100.0072478175758896819482806876817840407603418,750,000$
4Aliaksei Protas (R)0X100.0052508569958585805679857577708055407502443,600,000$
5Matt Duchene0X100.0064428179658890779481817274816555407503425,500,000$
6Dmitrij Jaskin0X100.0092488173858480716869747172807555407203222,183,999$
7Zach Aston-Reese0X100.0099527775788082707073707471797555407203022,183,999$
8Blake Lizotte0X100.0057388788508077647265677871746655406902711,000,000$
9Shane Gersich0X100.005845839060757763646968767177625540690284750,000$
10Valtteri Puustinen0X100.005940828057777865587265746975725540680262600,000$
11Vladislav Kamenev0X100.006520787470727260766565716468635540660281700,000$
12John Marino (A)0X100.0081479495789495805085728478778455408102813,870,000$
13Mikhail Sergachev0X100.0083578278909295775084698271747755407802723,870,000$
14Morgan Rielly0X100.0058539176928690755285727869808355407603122,000,000$
15Artem Zub0X100.009049777485818371527564746378755540740294750,000$
16Brent Burns0X100.0052508957998693745077677861998855407404013,600,000$
17Travis Sanheim0X100.005942878975868673527870707178785540730294750,000$
18Tim Erixon0X100.0057458875798084745076657666828155407203421,200,000$
Rayé
1Jyrki Jokipakka0X100.0062458674858485715076627363808155407203321,500,000$
Équipe Mineure
1Matty Beniers (R)0X100.0078409199719399849091847288657955408102212,000,000$
2Lucas Raymond0X100.0060438291658889856684886985687355407702321,750,000$
3Alex Laferriere (R)0X100.008135849063867971627470707468785540720233600,000$
4Dmitri Voronkov (R)0X100.007363705898849075837178726970765540720242600,000$
5William Eklund (R)0X100.0058458291609292765981696076657555407202232,000,000$
6Matt Nieto0X100.0053458481638181696672706971806955407003211,060,000$
7Mason Appleton0X100.005846727476767664676766716678655540670292500,000$
8Anton Blidh0X100.005742806980737260636163746279725540660301500,000$
9Brendan Gaunce0X100.007448756189707860786264716179745540660311700,000$
10Radim Zohorna0X100.005955706096727260696262725978805540650294625,000$
11Clark Bishop0X100.007442756872686860716461706375625540640294625,000$
12Tyler Graovac0X100.005720716490676760676162736168634540640321625,000$
13Moritz Seider0X100.0096529091909899825090708375698855408302413,690,000$
14Jordan Harris (R)0X100.007047849172879679548072807368805540770241800,000$
15Simon Edvinsson (R)0X100.0071508078958787685076667764656555407402231,750,000$
16Carson Soucy0X100.0075578268997984725072667562797855407303031,500,000$
17Zac Jones (R)0X100.005738809175748274507667807070655540730242700,000$
18Mattias Ekholm0X100.0054478263978081705073647360838355407103511,274,999$
19Quinton Byfield (R)0X97.3266518176949094826885787978657255407702222,000,000$
20Michael Sgarbossa0X100.0073397778667978678472696470806555406903211,250,000$
21Austin Wagner0X100.009240758174767663676464706873665540680283500,000$
22Calvin de Haan0X100.0086477876838087685070617660818655407403411,274,999$
23Sami Vatanen0X100.0079407788668182715073647265816955407303411,274,999$
24Darren Raddysh0X100.0054478673776371615058617459757855406702911,000,000$
MOYENNE D’ÉQUIPE99.94694582787882847163747074697674544072
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 SPÂgeContratSalaire
1Pyotr Kochetkov0100.007975818483828385858279756255407802611,000,000$
2Lukas Dostal0100.00908085828077788080777973615540770252800,000$
Rayé
Équipe Mineure
1ARVID HOLM0100.00526060848079818181807971615240730261500,000$
2JAKUB MALEK099.00766060827977788080777865565240730231350,000$
3OSKARI SALMINEN0100.00716060827877788080777769625240730251500,000$
4ADAM AHMAN0100.00676060747975767878757569585240710251250,000$
5MASI HARKONEN0100.00906060708074757878757657525240710181250,000$
6MATT VILLALTA0100.00756060777775777777767668585040710261265,000$
7Josef Korenar0100.00855975807371727474717254558540700273500,000$
MOYENNE D’ÉQUIPE99.8976646779797678797977776758564073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Dylan LarkinDetroit Red WingsLW351820381018105144174588310.34%1474621.33459271291011205146.15%525213001.0205002521
2Ryan O'ReillyDetroit Red WingsC3582230323547688619529.30%1266819.1135811107000190055.80%914915100.9001010320
3Matt DucheneDetroit Red WingsC3512172911120375796306512.50%1163418.14358111030001371156.34%584139100.9101000130
4Marko DanoDetroit Red WingsRW3571623-4155983611223706.25%1462617.90371015990000260156.52%462310000.7324001031
5John MarinoDetroit Red WingsD3521820-31210507510228441.96%4382723.661562114300004100%02721000.4800011102
6Morgan RiellyDetroit Red WingsD35213153181016534722184.26%2875521.5725713139000022000%01325000.4000011001
7Mikhail SergachevDetroit Red WingsD3549136541072624819208.33%5083323.83044489011160020%01321000.3100002021
8Blake LizotteDetroit Red WingsC353811-39514405317335.66%1139711.35000010002770140.12%162711000.5500100100
9Brent BurnsDetroit Red WingsD35099108012593318150%3779922.830220890002107000%0417000.2300000001
10Dmitrij JaskinDetroit Red WingsLW35628-610079213992515.38%1143312.38202318000061159.09%2297100.3700000211
11Shane GersichDetroit Red WingsLW35628620202144203013.64%63219.18000110004691035.71%14137000.5000000021
12Travis SanheimDetroit Red WingsD11145-400411159126.67%112911.8000000000001042.86%760000.7700000000
13Artem ZubDetroit Red WingsD35044-11406436146100%2553215.21000050003106000%0615000.1500000001
14Valtteri PuustinenDetroit Red WingsLW35404-38012205011228.00%83459.87000000000241033.33%973000.2300000001
15Tim ErixonDetroit Red WingsD21123-2161042211779.09%1328113.4210113011136100%0514000.2100002000
16Zach Aston-ReeseDetroit Red WingsC23123-91604838457182.22%428912.59000090000210045.45%13247000.2100000000
17Aliaksei ProtasDetroit Red WingsRW810100021095811.11%415619.501013220001200066.67%636000.1300000000
18Dmitri VoronkovGrand Rapids Griffins (DET)C3000-100142010%13612.1300012000030075.00%162100000000000
19Jyrki JokipakkaDetroit Red WingsD15000-2007138220%1021914.6000000000036000%041000000000000
20Vladislav KamenevDetroit Red WingsC13000220689360%0947.2300000000000029.63%273000000000000
Statistiques d’équipe totales ou en moyenne5497614822413237656446989973135417.62%303912916.632038581119711231769312753.34%1991223212300.49211139131511
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
1Pyotr KochetkovDetroit Red Wings2515360.9232.1814894054703356300.583122410315
Statistiques d’équipe totales ou en moyenne2515360.9232.181489405470335630122410315


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aliaksei Protas (contrat à 1 volet)Detroit Red WingsRW242001-01-06BELYes225 Lbs6 ft6NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm3,600,000$1,914,894$0$0$No3,600,000$3,600,000$3,600,000$------3,600,000$3,600,000$3,600,000$------NoNoNo------Lien
Artem ZubDetroit Red WingsD291995-10-03RUSNo203 Lbs6 ft2NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm750,000$398,936$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien
Blake LizotteDetroit Red WingsC271997-12-13USANo170 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$531,915$0$0$No---------------------------Lien
Brent Burns (contrat à 1 volet)Detroit Red WingsD401985-03-09CANNo229 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$1,914,894$0$0$No---------------------------Lien
Dmitrij JaskinDetroit Red WingsLW321993-03-23RUSNo216 Lbs6 ft2NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm2,183,999$1,161,702$0$0$No2,183,999$--------2,183,999$--------No--------Lien
Dylan Larkin (contrat à 1 volet)Detroit Red WingsLW281996-07-30USANo198 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,944,444$3,161,938$0$0$No---------------------------Lien
John Marino (contrat à 1 volet)Detroit Red WingsD281997-05-21USANo181 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,870,000$2,058,511$0$0$No---------------------------Lien
Jyrki Jokipakka (contrat à 1 volet)Detroit Red WingsD331991-08-20FINNo198 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm1,500,000$797,872$0$0$No1,500,000$--------1,500,000$--------No--------
Lukas DostalDetroit Red WingsG252000-06-22CZENo174 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm800,000$425,532$0$0$No800,000$--------800,000$--------No--------Lien
Marko Dano (contrat à 1 volet)Detroit Red WingsRW301994-11-30SVKNo201 Lbs5 ft11NoNoTrade2026-02-25NoNo22025-09-30FalseFalsePro & Farm6,100,000$3,244,681$0$0$No6,100,000$--------6,100,000$--------No--------Lien
Matt Duchene (contrat à 1 volet)Detroit Red WingsC341991-01-16CANNo194 Lbs5 ft11NoNoFree AgentNoNo22025-10-04FalseFalsePro & Farm5,500,000$2,925,532$0$0$No5,500,000$--------5,500,000$--------No--------Lien
Mikhail Sergachev (contrat à 1 volet)Detroit Red WingsD271998-06-25RUSNo216 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,870,000$2,058,511$0$0$No3,870,000$--------3,870,000$--------No--------Lien
Morgan Rielly (contrat à 1 volet)Detroit Red WingsD311994-03-09CANNo225 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,000,000$1,063,830$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Pyotr KochetkovDetroit Red WingsG261999-06-25RUSNo179 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$531,915$0$0$No---------------------------Lien
Ryan O'Reilly (contrat à 1 volet)Detroit Red WingsC341991-02-07CANNo216 Lbs6 ft1NoNoTrade2026-02-06NoNo12025-09-30FalseFalsePro & Farm8,750,000$4,654,255$0$0$No---------------------------Lien / Lien NHL
Shane GersichDetroit Red WingsLW281996-07-10USANo180 Lbs5 ft11NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm750,000$398,936$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Tim ErixonDetroit Red WingsD341991-02-24USANo198 Lbs6 ft2NoNoTrade2025-12-17NoNo22025-10-10FalseFalsePro & Farm1,200,000$638,298$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Travis SanheimDetroit Red WingsD291996-03-29CANNo181 Lbs6 ft3NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm750,000$398,936$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien
Valtteri PuustinenDetroit Red WingsLW261999-06-04FINNo183 Lbs5 ft9NoNoTrade2026-02-25NoNo22025-09-30FalseFalsePro & Farm600,000$319,149$0$0$No600,000$--------600,000$--------No--------Lien
Vladislav KamenevDetroit Red WingsC281996-08-12RUSNo194 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm700,000$372,340$0$0$No---------------------------
Zach Aston-ReeseDetroit Red WingsC301994-08-10USANo205 Lbs6 ft1NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm2,183,999$1,161,702$0$0$No2,183,999$--------2,183,999$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.67198 Lbs6 ft12.052,697,735$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
56,652,442$31,787,998$5,850,000$5,850,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan LarkinRyan O'ReillyAliaksei Protas40023
2Dmitrij JaskinMatt DucheneMarko Dano30023
3Travis SanheimZach Aston-ReeseBlake Lizotte20023
4Shane GersichVladislav KamenevValtteri Puustinen10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoMikhail Sergachev40032
2Brent BurnsMorgan Rielly30032
3Artem ZubTim Erixon20041
4Brent BurnsMorgan Rielly10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan LarkinRyan O'ReillyAliaksei Protas60005
2Dmitrij JaskinMatt DucheneMarko Dano40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoMorgan Rielly60014
2Brent BurnsMikhail Sergachev40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matt DucheneMarko Dano60140
2Blake LizotteShane Gersich40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsArtem Zub60140
2Tim ErixonMikhail Sergachev40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Duchene60140Brent BurnsArtem Zub60140
2Blake Lizotte40131Tim ErixonMikhail Sergachev40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan O'ReillyDylan Larkin60023
2Matt DucheneMarko Dano40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoMikhail Sergachev60032
2Brent BurnsMorgan Rielly40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan LarkinRyan O'ReillyAliaksei ProtasJohn MarinoMikhail Sergachev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan LarkinMatt DucheneAliaksei ProtasJohn MarinoMikhail Sergachev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Aston-Reese, Blake Lizotte, Shane GersichZach Aston-Reese, Blake LizotteDylan Larkin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Artem Zub, Tim Erixon, Travis SanheimTravis SanheimMorgan Rielly, John Marino
Tirs de pénalité
Dylan Larkin, Marko Dano, Aliaksei Protas, Matt Duchene, Ryan O'Reilly
Gardien
#1 : Pyotr Kochetkov, #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
Ryan O'Reilly, Dylan Larkin, Aliaksei Protas, Matt Duchene, Marko Dano, Zach Aston-Reese, , , ,
Lignes de défense personnalisées en prolongation
John Marino, Morgan Rielly, Mikhail Sergachev, Brent Burns, Travis Sanheim


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
TotalDomicileVisiteur
# 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
1Anaheim Mighty Ducks11000000321000000000001100000032131.0003580001203310111203336236116.67%3166.67%047389852.67%40773655.30%26247255.51%2314198168
2California Golden Seals200010016601000000112-11000100054130.500611170021227531132695019246510220.00%7442.86%047389852.67%40773655.30%26247255.51%482742193920
3Carolina Hurricanes1000000123-1000000000001000000123-110.333235000201439141762181720300.00%6183.33%047389852.67%40773655.30%26247255.51%26151910199
4Chicago Blackhawks211000006601010000024-21100000042230.50061117100060811232370622635426350.00%50100.00%047389852.67%40773655.30%26247255.51%412544183316
5Colorado Avalanche1010000024-21010000024-20000000000000.0002351011003511177031641911100.00%20100.00%047389852.67%40773655.30%26247255.51%2214228157
6Columbus Blue Jackets21000100651110000003121000010034-140.66761016003210642918170532316413133.33%8187.50%047389852.67%40773655.30%26247255.51%422543163316
7Edmonton Oilers2110000045-1000000000002110000045-130.5004711001210752630190541118418225.00%9188.89%147389852.67%40773655.30%26247255.51%442641173317
8Florida Panthers11000000312110000003120000000000031.000369000120321561103015227200.00%10100.00%047389852.67%40773655.30%26247255.51%2214208167
9Hamilton Mustangs1000010034-1000000000001000010034-110.33335800111034116161274432100.00%20100.00%047389852.67%40773655.30%26247255.51%23142210189
10Los Angeles Kings200010016601000000134-11000100032130.5006101600212155171915768251250600.00%6350.00%047389852.67%40773655.30%26247255.51%432445183719
11Montreal Canadiens1010000025-3000000000001010000025-300.00024600110032910130396816500.00%4250.00%047389852.67%40773655.30%26247255.51%1911238167
12New York Islanders11000000413110000004130000000000031.000471100013027107100371213222150.00%40100.00%047389852.67%40773655.30%26247255.51%1911239178
13Ottawa Senators1010000024-2000000000001010000024-200.000246002000379171102813418500.00%2150.00%047389852.67%40773655.30%26247255.51%2415198168
14Philadelphia Flyers1010000002-2000000000001010000002-200.000000000000257108031111324400.00%4175.00%047389852.67%40773655.30%26247255.51%18102310178
15Pittsburgh Penguins11000000321110000003210000000000031.000358001110361115100291614254250.00%20100.00%047389852.67%40773655.30%26247255.51%2214218168
16Quebec Nordiques1010000024-21010000024-20000000000000.000246100020296419036922175120.00%60100.00%047389852.67%40773655.30%26247255.51%19102311178
17San Jose Sharks22000000734110000003121100000042261.000713200003407816392306520424914321.43%6183.33%047389852.67%40773655.30%26247255.51%503134173517
18Seattle Kraken31200000981211000007521010000023-130.333917260024309033282907126238115213.33%9366.67%047389852.67%40773655.30%26247255.51%663760275325
19St Louis Blues1000000134-11000000134-10000000000010.333347001020249395341214273133.33%7271.43%047389852.67%40773655.30%26247255.51%20102511198
20Toronto Maple Leafs11000000312110000003120000000000031.00036900003037134200294623500.00%30100.00%047389852.67%40773655.30%26247255.51%2313199168
21Vancouver Canucks320001008531000010023-12200000062470.77881220003500993932262771586721419.05%40100.00%047389852.67%40773655.30%26247255.51%724255275329
22Vegas Golden Knights22000000633110000003211100000031261.00061016002310661823250491018507114.29%9188.89%047389852.67%40773655.30%26247255.51%422339193718
23Winnipeg Jets2010001057-21010000014-31000001043120.3335813000131651421285741615375120.00%5180.00%047389852.67%40773655.30%26247255.51%432647183416
Total35151002314959141785001034543218750221150482580.5529516526030223139511723653794083510283103388161412618.44%1142379.82%147389852.67%40773655.30%26247255.51%782459739323615307
_Since Last GM Reset35151002314959141785001034543218750221150482580.5529516526030223139511723653794083510283103388161412618.44%1142379.82%147389852.67%40773655.30%26247255.51%782459739323615307
_Vs Conference2511602213716471244001033034-4137202110413011440.58771121192201724274840265286273287212122355921052220.95%801877.50%147389852.67%40773655.30%26247255.51%563329522228442222
_Vs Division1034001112631-5513000011117-65210011015141130.4332643692066131344101121117103089410220726934.62%36586.11%147389852.67%40773655.30%26247255.51%2151272259016982

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3558L1951652601172102831033881630
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
35151023149591
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
178501034543
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187522115048
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1412618.44%1142379.82%1
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
365379408352231395
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
47389852.67%40773655.30%26247255.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
782459739323615307


Derniers matchs 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
28Colorado Avalanche4Detroit Red Wings2LSommaire du match
428Detroit Red Wings3Anaheim Mighty Ducks2WSommaire du match
636Detroit Red Wings1Edmonton Oilers4LSommaire du match
850Winnipeg Jets4Detroit Red Wings1LSommaire du match
1066Columbus Blue Jackets1Detroit Red Wings3WSommaire du match
1278Detroit Red Wings4Chicago Blackhawks2WSommaire du match
1492St Louis Blues4Detroit Red Wings3LXXSommaire du match
1599Toronto Maple Leafs1Detroit Red Wings3WSommaire du match
18123Detroit Red Wings0Philadelphia Flyers2LSommaire du match
20136Detroit Red Wings2Montreal Canadiens5LSommaire du match
22143Vegas Golden Knights2Detroit Red Wings3WSommaire du match
25156Los Angeles Kings4Detroit Red Wings3LXXSommaire du match
29175Detroit Red Wings4San Jose Sharks2WSommaire du match
32191Detroit Red Wings3Vancouver Canucks1WSommaire du match
35205Detroit Red Wings2Seattle Kraken3LSommaire du match
39221California Golden Seals2Detroit Red Wings1LXXSommaire du match
42235Detroit Red Wings5California Golden Seals4WXSommaire du match
45249Seattle Kraken1Detroit Red Wings5WSommaire du match
48262Vancouver Canucks3Detroit Red Wings2LXSommaire du match
51275San Jose Sharks1Detroit Red Wings3WSommaire du match
53288Detroit Red Wings3Los Angeles Kings2WXSommaire du match
56299Detroit Red Wings3Vegas Golden Knights1WSommaire du match
59313Detroit Red Wings2Ottawa Senators4LSommaire du match
61324New York Islanders1Detroit Red Wings4WSommaire du match
63338Detroit Red Wings2Carolina Hurricanes3LXXSommaire du match
66359Florida Panthers1Detroit Red Wings3WSommaire du match
68369Chicago Blackhawks4Detroit Red Wings2LSommaire du match
70390Detroit Red Wings3Columbus Blue Jackets4LXSommaire du match
72398Detroit Red Wings4Winnipeg Jets3WXXSommaire du match
74413Detroit Red Wings3Edmonton Oilers1WSommaire du match
75421Quebec Nordiques4Detroit Red Wings2LSommaire du match
79448Detroit Red Wings3Hamilton Mustangs4LXSommaire du match
81461Pittsburgh Penguins2Detroit Red Wings3WSommaire du match
84470Detroit Red Wings3Vancouver Canucks1WSommaire du match
86484Seattle Kraken4Detroit Red Wings2LSommaire du match
89498California Golden Seals-Detroit Red Wings-
91510Detroit Red Wings-Tampa Bay Lightning-
94531Tampa Bay Lightning-Detroit Red Wings-
96542Detroit Red Wings-New Jersey Devils-
97549New Jersey Devils-Detroit Red Wings-
99565Detroit Red Wings-New York Rangers-
101581Detroit Red Wings-Boston Bruins-
104598Anaheim Mighty Ducks-Detroit Red Wings-
106606Detroit Red Wings-Colorado Avalanche-
109618Detroit Red Wings-St Louis Blues-
113634Vegas Golden Knights-Detroit Red Wings-
115645Los Angeles Kings-Detroit Red Wings-
118659Detroit Red Wings-San Jose Sharks-
122681Carolina Hurricanes-Detroit Red Wings-
123687Detroit Red Wings-New York Islanders-
125705Ottawa Senators-Detroit Red Wings-
127717Montreal Canadiens-Detroit Red Wings-
129731Philadelphia Flyers-Detroit Red Wings-
131743Detroit Red Wings-Toronto Maple Leafs-
135764Detroit Red Wings-Chicago Blackhawks-
137780Columbus Blue Jackets-Detroit Red Wings-
139792Winnipeg Jets-Detroit Red Wings-
141806Edmonton Oilers-Detroit Red Wings-
143814Detroit Red Wings-Florida Panthers-
145827Detroit Red Wings-Quebec Nordiques-
148842Hamilton Mustangs-Detroit Red Wings-
151859Detroit Red Wings-Pittsburgh Penguins-
153871New York Rangers-Detroit Red Wings-
156890Boston Bruins-Detroit Red Wings-
158897Vancouver Canucks-Detroit Red Wings-
160911Detroit Red Wings-Seattle Kraken-
162925Detroit Red Wings-California Golden Seals-
164939San Jose Sharks-Detroit Red Wings-
166953Detroit Red Wings-Los Angeles Kings-
168967Detroit Red Wings-Vegas Golden Knights-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171981Chicago Blackhawks-Detroit Red Wings-
173999Detroit Red Wings-Columbus Blue Jackets-
1751009Detroit Red Wings-Winnipeg Jets-
1771023Edmonton Oilers-Detroit Red Wings-
1801050Anaheim Mighty Ducks-Detroit Red Wings-
1811064Detroit Red Wings-Anaheim Mighty Ducks-
1831072Detroit Red Wings-Colorado Avalanche-
1841086Colorado Avalanche-Detroit Red Wings-
1861100St Louis Blues-Detroit Red Wings-
1871109Detroit Red Wings-St Louis Blues-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance82,83866,76728,59851,72417,423
Attendance PCT82.03%80.81%84.96%76.83%81.34%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 14550 - 80.83% 1,065,240$18,109,073$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
34,654,648$ 62,457,442$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 34,654,648$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
24,500,511$ 100 332,220$ 33,222,000$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
34,573,600$ 44,796,988$ 36,085,741$



Charte de profondeur

Ailier gaucheCentreAilier droit
Dylan LarkinAGE:28PO:55OV:80
Quinton Byfield (R)AGE:22PO:55OV:77
Dmitrij JaskinAGE:32PO:55OV:72
William Eklund (R)AGE:22PO:55OV:72
Shane GersichAGE:28PO:55OV:69
Valtteri PuustinenAGE:26PO:55OV:68
Mason AppletonAGE:29PO:55OV:67
Anton BlidhAGE:30PO:55OV:66
Matty Beniers (R)AGE:22PO:55OV:81
Ryan O'ReillyAGE:34PO:40OV:76
Matt DucheneAGE:34PO:55OV:75
Dmitri Voronkov (R)AGE:24PO:55OV:72
Zach Aston-ReeseAGE:30PO:55OV:72
Blake LizotteAGE:27PO:55OV:69
Michael SgarbossaAGE:32PO:55OV:69
Brendan GaunceAGE:31PO:55OV:66
Vladislav KamenevAGE:28PO:55OV:66
Clark BishopAGE:29PO:55OV:64
Marko DanoAGE:30PO:55OV:78
Lucas RaymondAGE:23PO:55OV:77
Aliaksei Protas (R)AGE:24PO:55OV:75
Alex Laferriere (R)AGE:23PO:55OV:72
Matt NietoAGE:32PO:55OV:70
Austin WagnerAGE:28PO:55OV:68
Radim ZohornaAGE:29PO:55OV:65
Tyler GraovacAGE:32PO:45OV:64

Défense #1Défense #2Gardien
Moritz SeiderAGE:24PO:55OV:83
John MarinoAGE:28PO:55OV:81
Mikhail SergachevAGE:27PO:55OV:78
Jordan Harris (R)AGE:24PO:55OV:77
Morgan RiellyAGE:31PO:55OV:76
Artem ZubAGE:29PO:55OV:74
Brent BurnsAGE:40PO:55OV:74
Calvin de HaanAGE:34PO:55OV:74
Simon Edvinsson (R)AGE:22PO:55OV:74
Carson SoucyAGE:30PO:55OV:73
Sami VatanenAGE:34PO:55OV:73
Travis SanheimAGE:29PO:55OV:73
Zac Jones (R)AGE:24PO:55OV:73
Jyrki JokipakkaAGE:33PO:55OV:72
Tim ErixonAGE:34PO:55OV:72
Mattias EkholmAGE:35PO:55OV:71
Darren RaddyshAGE:29PO:55OV:67
Pyotr KochetkovAGE:26PO:55OV:78
Lukas DostalAGE:25PO:55OV:77
ARVID HOLMAGE:26PO:52OV:73
JAKUB MALEKAGE:23PO:52OV:73
OSKARI SALMINENAGE:25PO:52OV:73
ADAM AHMANAGE:25PO:52OV:71
MASI HARKONENAGE:18PO:52OV:71
MATT VILLALTAAGE:26PO:50OV:71
Josef KorenarAGE:27PO:85OV:70

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
0x LTCsDetroit Red Wings00
0x RFA Tag (Dylan Larkin Y26)Detroit Red Wings00
0x TC PTSDetroit Red Wings00
1 000 000 NSHL25 Waiver BucksDetroit Red Wings00
1x NSHL26 ODW ClaimDetroit Red Wings00
Albin ErikssonDetroit Red Wings18730Lien
Anton SilayevDetroit Red Wings24110Lien
Benjamin KindelDetroit Red Wings25130Lien
Brennan OthmannDetroit Red Wings21210Lien
Cameron ReidDetroit Red Wings25160Lien
Carter BearDetroit Red Wings25140Lien
Cole BeaudoinDetroit Red Wings24320Lien
Cutter GauthierDetroit Red Wings2230Lien
Daniel TorgerssonDetroit Red Wings20670Lien
Daniil ChaykaDetroit Red Wings21420Lien
Dominik BadinkaDetroit Red Wings24360Lien
Emil HemmingDetroit Red Wings24310Lien
Ethan PhillipsDetroit Red Wings19950Lien
Evan NauseDetroit Red Wings211040Lien
Filip BystedtDetroit Red Wings22330Lien
Ivan RyabkinDetroit Red Wings25470Lien
Jeremy PoirierDetroit Red Wings20610Lien
Jesse PulkkinenDetroit Red Wings24640Lien
Jett LuchankoDetroit Red Wings24210Lien
Jonathan BerggrenDetroit Red Wings18430Lien
Justin SourdifDetroit Red Wings20990Lien
Leon MuggliDetroit Red Wings24820Lien
Luca RomanoDetroit Red Wings25840Lien
Nikita ArtamonovDetroit Red Wings24450Lien
Oskar PetterssonDetroit Red Wings22710Lien
Samu SalminenDetroit Red Wings21670Lien
Samu TuomaalaDetroit Red Wings21440Lien
Sean BarnhillDetroit Red Wings25880Lien
Ville HeinolaDetroit Red Wings19360Lien
Zeev BuiumDetroit Red Wings24130Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Detroit Red Wings Historique de transactions

[2026-04-17 4:11:37 PM] TRADE : From Quebec Nordiques to Detroit Red Wings : Y:26-RND:2-QUE, Y:26-RND:3-QUE, Y:26-RND:4-QUE.
[2026-04-17 4:11:37 PM] TRADE : From Detroit Red Wings to Quebec Nordiques : Gabriel Landeskog (78), Thatcher Demko (81).
[2026-04-16 3:30:51 PM] TRADE : From Quebec Nordiques to Detroit Red Wings : $100,000 (Money).
[2026-04-16 3:30:51 PM] TRADE : From Detroit Red Wings to Quebec Nordiques : Stefan Noesen (67).
[2026-03-31 12:48:18 PM] TRADE : From Detroit Red Wings to Anaheim Mighty Ducks : Marcus Foligno (77).
[2026-03-31 12:48:18 PM] TRADE : From Anaheim Mighty Ducks to Detroit Red Wings : Y:29-RND:3-ANA, Y:28-RND:7-MTL.
[2026-03-25 11:31:31 AM] TRADE : From Detroit Red Wings to San Jose Sharks : $60,339 (Money).
[2026-03-21 11:09:45 AM] New Record for Team's Most Shots Blocked (17) in 1 Game for Detroit Red Wings!
[2026-03-13 11:05:27 AM] New Record for Team's Most Points (15) in 1 Game for Detroit Red Wings!
[2026-03-13 11:05:27 AM] New Record for Team's Most Assists (10) in 1 Game for Detroit Red Wings!
[2026-03-10 3:02:42 PM] New Record for Team's Most Points (14) in 1 Game for Detroit Red Wings!
[2026-03-10 3:02:42 PM] New Record for Team's Most Assists (9) in 1 Game for Detroit Red Wings!
[2026-03-10 3:02:42 PM] New Record for Team's Most Goals (5) in 1 Game for Detroit Red Wings!
[2026-03-07 1:51:07 PM] TRADE : From Detroit Red Wings to California Golden Seals : $59,456 (Money).
[2026-03-07 1:50:58 PM] TRADE : From Detroit Red Wings to California Golden Seals : $1,014,322 (Money).
[2026-03-07 11:04:02 AM] New Record for Team's Most Hits (37) in 1 Game for Detroit Red Wings!
[2026-03-03 3:23:11 PM] New Record for Team's Most Hits (34) in 1 Game for Detroit Red Wings!
[2026-02-25 3:07:16 PM] New Record for Team's Most Penalties Minutes (28) in 1 Game for Detroit Red Wings!
[2026-02-25 2:52:04 PM] TRADE : From Toronto Maple Leafs to Detroit Red Wings : Marko Dano (78), Valtteri Puustinen (68).
[2026-02-25 2:52:04 PM] TRADE : From Detroit Red Wings to Toronto Maple Leafs : Mark Stone (74), Cory Conacher (71), Michael Bunting (68), TIM JUEL (72), Y:26-RND:3-TOR, Y:26-RND:6-QUE.
[2026-02-21 12:07:35 PM] New Record for Team's Most Hits (32) in 1 Game for Detroit Red Wings!
[2026-02-08 11:36:51 AM] New Record for Team's Most Hits (27) in 1 Game for Detroit Red Wings!
[2026-02-06 3:12:13 PM] TRADE : From New Jersey Devils to Detroit Red Wings : Gabriel Landeskog (78), Ryan O'Reilly (76).
[2026-02-06 3:12:13 PM] TRADE : From Detroit Red Wings to New Jersey Devils : Kevin Hayes (73), Tyler Toffoli (74), Mikael Pyyhtia (68).
[2026-02-06 3:11:22 PM] New Record for Team's Most Penalties Minutes (26) in 1 Game for Detroit Red Wings!
[2026-02-06 3:11:22 PM] New Record for Team's Most Shots Blocked (15) in 1 Game for Detroit Red Wings!
[2026-02-06 3:11:22 PM] New Record for Team's Most Shots (43) in 1 Game for Detroit Red Wings!
[2026-02-06 3:11:22 PM] New Record for Team's Most Points (11) in 1 Game for Detroit Red Wings!
[2026-02-06 3:11:22 PM] New Record for Team's Most Assists (7) in 1 Game for Detroit Red Wings!
[2026-02-06 3:11:22 PM] New Record for Team's Most Goals (4) in 1 Game for Detroit Red Wings!
[2026-02-04 3:03:28 PM] New Record for Team's Most Shots Blocked (13) in 1 Game for Detroit Red Wings!
[2026-02-02 3:12:08 PM] New Record for Team's Most Shots Blocked (10) in 1 Game for Detroit Red Wings!
[2026-01-31 10:15:18 AM] New Record for Team's Most Penalties Minutes (12) in 1 Game for Detroit Red Wings!
[2026-01-29 10:02:21 AM] New Record for Team's Most Hits (23) in 1 Game for Detroit Red Wings!
[2026-01-29 10:02:21 AM] New Record for Team's Most Penalties Minutes (6) in 1 Game for Detroit Red Wings!
[2026-01-29 10:02:21 AM] New Record for Team's Most Points (8) in 1 Game for Detroit Red Wings!
[2026-01-29 10:02:21 AM] New Record for Team's Most Assists (5) in 1 Game for Detroit Red Wings!
[2026-01-29 10:02:21 AM] New Record for Team's Most Goals (3) in 1 Game for Detroit Red Wings!



Pas de blessure ou de suspension.


Detroit Red Wings Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Detroit Red Wings Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Detroit Red Wings Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Detroit Red Wings Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Detroit Red Wings Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA