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Detroit Red Wings
GP: 18 | W: 9 | L: 6 | OTL: 3 | P: 29
GF: 48 | GA: 48 | PP%: 20.00% | PK%: 75.00%
DG: Eric G | Morale : 40 | Moyenne d’équipe : 75
Prochains matchs #262 vs Vancouver Canucks

Centre de jeu
Detroit Red Wings
9-6-3, 29pts
5
4 California Golden Seals
7-9-2, 21pts
Team Stats
W2SéquenceL1
4-2-3Fiche domicile3-5-1
5-4-0Fiche visiteur4-4-1
5-3-2Derniers 10 matchs3-5-2
2.67Buts par match 2.11
2.67Buts contre par match 2.61
20.00%Pourcentage en avantage numérique22.95%
75.00%Pourcentage en désavantage numérique82.19%
Seattle Kraken
5-12-1, 15pts
1
5 Detroit Red Wings
9-6-3, 29pts
Team Stats
L2SéquenceW2
3-5-0Fiche domicile4-2-3
2-7-1Fiche visiteur5-4-0
3-7-0Derniers 10 matchs5-3-2
2.22Buts par match 2.67
3.28Buts contre par match 2.67
8.89%Pourcentage en avantage numérique20.00%
82.35%Pourcentage en désavantage numérique75.00%
Vancouver Canucks
7-7-4, 22pts
Jour 48
Detroit Red Wings
9-6-3, 29pts
Statistiques d’équipe
W1SéquenceW2
6-4-1Fiche domicile4-2-3
1-3-3Fiche visiteur5-4-0
4-3-310 derniers matchs5-3-2
2.22Buts par match 2.67
2.72Buts contre par match 2.67
22.22%Pourcentage en avantage numérique20.00%
81.25%Pourcentage en désavantage numérique75.00%
San Jose Sharks
5-11-2, 15pts
Jour 51
Detroit Red Wings
9-6-3, 29pts
Statistiques d’équipe
W1SéquenceW2
4-3-1Fiche domicile4-2-3
1-8-1Fiche visiteur5-4-0
3-7-010 derniers matchs5-3-2
2.11Buts par match 2.67
3.33Buts contre par match 2.67
15.25%Pourcentage en avantage numérique20.00%
76.04%Pourcentage en désavantage numérique75.00%
Detroit Red Wings
9-6-3, 29pts
Jour 53
Los Angeles Kings
12-6-0, 33pts
Statistiques d’équipe
W2SéquenceL1
4-2-3Fiche domicile6-4-0
5-4-0Fiche visiteur6-2-0
5-3-210 derniers matchs6-4-0
2.67Buts par match 2.94
2.67Buts contre par match 2.94
20.00%Pourcentage en avantage numérique14.46%
75.00%Pourcentage en désavantage numérique88.46%
Meneurs d'équipe
Buts
Dylan Larkin
12
Ryan O'ReillyPasses
Ryan O'Reilly
16
Points
Dylan Larkin
24
Plus/Moins
Dylan Larkin
10
Victoires
Pyotr Kochetkov
7
Pourcentage d’arrêts
Pyotr Kochetkov
0.927

Statistiques d’équipe
Buts pour
48
2.67 GFG
Tirs pour
600
33.33 Avg
Pourcentage en avantage numérique
20.0%
15 GF
Début de zone offensive
41.2%
Buts contre
48
2.67 GAA
Tirs contre
530
29.44 Avg
Pourcentage en désavantage numérique
75.0%%
17 GA
Début de la zone défensive
36.9%
Informations de l'équipe

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


Informations de l’aréna

NomLittle Caesars Arena
Capacité18,000
Assistance14,725
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure33
Limite contact 56 / 250
Espoirs35


Finance

Revenu annuel à ce jour9,757,173$
Dépenses annuelles à ce jour18,131,652$
Revenus de la saison estimés33,608,040$
Dépenses de la saison estimées58,666,608$
Compte bancaire actuel52,911,286$
Compte bancaire projeté27,756,094$


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)0X99.0076509190759498828787847383777555408002815,944,444$
2Gabriel Landeskog0X99.0094578179759190816985886975807455407803217,220,746$
3Marko Dano0X100.0096498589708987806980837478797455407803026,100,000$
4Marcus Foligno (A)0X100.0091688376859394808181787477817855407703325,500,000$
5Ryan O'Reilly0X99.0072478175758896819482806876817840407603418,750,000$
6Matt Duchene0X100.0064428179658890779481817274816555407503425,500,000$
7Dmitrij Jaskin0X100.0092488173858480716869747172807555407203222,183,999$
8Zach Aston-Reese0X100.0099527775788082707073707471797555407203022,183,999$
9Blake Lizotte0X100.0057388788508077647265677871746655406902711,000,000$
10Shane Gersich0X100.005845839060757763646968767177625540690284750,000$
11Valtteri Puustinen0X100.005940828057777865587265746975725540680262600,000$
12Stefan Noesen0X100.0074517363777776657168647163826955406703211,000,000$
13John Marino (A)0X99.0081479495789495805085728478778455408102813,870,000$
14Mikhail Sergachev0X99.0083578278909295775084698271747755407802723,870,000$
15Morgan Rielly0X100.0058539176928690755285727869808355407603122,000,000$
16Artem Zub0X100.009049777485818371527564746378755540740294750,000$
17Brent Burns0X100.0052508957998693745077677861998855407404013,600,000$
18Tim Erixon0X100.0057458875798084745076657666828155407203421,200,000$
Rayé
1Travis Sanheim0X100.005942878975868673527870707178785540730294750,000$
2Jyrki Jokipakka0X100.0062458674858485715076627363808155407203321,500,000$
Équipe Mineure
1Matty Beniers (R)0X98.0078409199719399849091847288657955408102212,000,000$
2Lucas Raymond0X98.0060438291658889856684886985687355407702321,750,000$
3Quinton Byfield (R)0X100.0066518176949094826885787978657255407702222,000,000$
4Aliaksei Protas (R)0X100.0052508569958585805679857577708055407502443,600,000$
5Alex Laferriere (R)0X100.008135849063867971627470707468785540720233600,000$
6Dmitri Voronkov (R)0X100.007363705898849075837178726970765540720242600,000$
7William Eklund (R)0X98.0058458291609292765981696076657555407202232,000,000$
8Matt Nieto0X100.0053458481638181696672706971806955407003211,060,000$
9Michael Sgarbossa0X100.0073397778667978678472696470806555406903211,250,000$
10Brendan Gaunce0X100.007448756189707860786264716179745540660311700,000$
11Radim Zohorna0X100.005955706096727260696262725978805540650294625,000$
12Tyler Graovac0X100.005720716490676760676162736168634540640321625,000$
13Moritz Seider0X99.0096529091909899825090708375698855408302413,690,000$
14Jordan Harris (R)0X99.007047849172879679548072807368805540770241800,000$
15Simon Edvinsson (R)0X100.0071508078958787685076667764656555407402231,750,000$
16Carson Soucy0X100.0075578268997984725072667562797855407303031,500,000$
17Zac Jones (R)0X99.005738809175748274507667807070655540730242700,000$
18Mattias Ekholm0X100.0054478263978081705073647360838355407103511,274,999$
19Austin Wagner0X100.009240758174767663676464706873665540680283500,000$
20Mason Appleton0X100.005846727476767664676766716678655540670292500,000$
21Anton Blidh0X80.455742806980737260636163746279725540660301500,000$
22Vladislav Kamenev0X100.006520787470727260766565716468635540660281700,000$
23Clark Bishop0X100.007442756872686860716461706375625540640294625,000$
24Calvin de Haan0X100.0086477876838087685070617660818655407403411,274,999$
25Sami Vatanen0X100.0079407788668182715073647265816955407303411,274,999$
26Darren Raddysh0X100.0054478673776371615058617459757855406702911,000,000$
MOYENNE D’ÉQUIPE99.27714682787982847264757074707674544073
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
1Thatcher Demko0100.008382838685868685868485786755408102911,650,000$
2Pyotr Kochetkov0100.007975818483828385858279756255407802611,000,000$
Rayé
1Lukas Dostal0100.00908085828077788080777973615540770252800,000$
Équipe Mineure
1ARVID HOLM097.00526060848079818181807971615240730261500,000$
2OSKARI SALMINEN0100.00716060827877788080777769625240730251500,000$
3JAKUB MALEK099.00766060827977788080777865565240730231350,000$
4ADAM AHMAN0100.00676060747975767878757569585240710251250,000$
5MASI HARKONEN0100.00906060708074757878757657525240710181250,000$
6MATT VILLALTA0100.00756060777775777777767668585040710261265,000$
7Josef Korenar0100.00855975807371727474717254558540700273500,000$
MOYENNE D’ÉQUIPE99.6077666880797778808077786859564074
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 WingsLW181212241060262190233513.33%1037420.824371465000043140.00%20277001.2803000410
2Ryan O'ReillyDetroit Red WingsC1861622710026335272311.54%931417.49246741000190056.63%39247101.4001000320
3Gabriel LandeskogDetroit Red WingsRW1889177140591348142716.67%634219.03257959000002026.09%2365000.9912000142
4Matt DucheneDetroit Red WingsC1868147100172648192912.50%531917.77123455000031155.59%34073100.8801000010
5Marko DanoDetroit Red WingsRW183811-42061144915376.12%834719.311345520000190069.23%26146000.6312000001
6John MarinoDetroit Red WingsD180994121030394912180%2142023.36033117200001000%01711000.4300011001
7Marcus FolignoDetroit Red WingsLW182685531550404214284.76%534419.130116540001390060.81%7479000.4602300100
8Morgan RiellyDetroit Red WingsD18268340327241178.33%1638621.45224770000011000%0716000.4100000001
9Brent BurnsDetroit Red WingsD1805534062417740%1841022.80011045000160000%0210000.2400000001
10Artem ZubDetroit Red WingsD18044010030208370%1128215.7000004000258000%0511000.2800000001
11Mikhail SergachevDetroit Red WingsD1822422954232208510.00%2242723.75022245000033010%0712000.1900001010
12Blake LizotteDetroit Red WingsC181230755172911133.45%41739.65000000002440139.73%7327000.3500100000
13Shane GersichDetroit Red WingsLW18202020101019101510.53%21598.85000100000330028.57%724000.2500000010
14Valtteri PuustinenDetroit Red WingsLW18202-320518328156.25%419410.79000000000161033.33%661000.2100000000
15Zach Aston-ReeseDetroit Red WingsC18022-51404130407160%423913.31000080000210044.72%12335000.1700000000
16Dmitrij JaskinDetroit Red WingsRW18101-760284174145.88%420811.5900003000020162.50%885000.1000000001
17Travis SanheimDetroit Red WingsD1011000013110%01111.18000000000000100.00%100001.7900000000
18Jyrki JokipakkaDetroit Red WingsD15000-2007138220%1021914.6000000000036000%041000000000000
19Stefan NoesenDetroit Red WingsRW180000201685240%01246.8900000000000050.00%180000000000000
20Tim ErixonDetroit Red WingsD4000000040020%24812.220000000004000%00300000000000
Statistiques d’équipe totales ou en moyenne326479013727187354623946001783027.83%161534916.411226386658300074007553.20%1111128132200.512114129108
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 Wings127130.9271.986972023317159200.4449117102
2Thatcher DemkoDetroit Red Wings72500.9013.154000021212950100711002
Statistiques d’équipe totales ou en moyenne199630.9172.41109720445292542191818104


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
Artem ZubDetroit Red WingsD291995-10-03RUSNo203 Lbs6 ft2NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm750,000$570,479$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$760,638$0$0$No---------------------------Lien
Brent Burns (contrat à 1 volet)Detroit Red WingsD401985-03-09CANNo229 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$2,738,298$0$0$No---------------------------Lien
Dmitrij JaskinDetroit Red WingsRW321993-03-23RUSNo216 Lbs6 ft2NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm2,183,999$1,661,233$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$4,521,572$0$0$No---------------------------Lien
Gabriel Landeskog (contrat à 1 volet)Detroit Red WingsRW321992-11-23SWENo215 Lbs6 ft1NoNoTrade2026-02-06NoNo12025-09-30FalseFalsePro & Farm7,220,746$5,492,376$0$0$No---------------------------Lien
John Marino (contrat à 1 volet)Detroit Red WingsD281997-05-21USANo181 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,870,000$2,943,670$0$0$No---------------------------Lien
Jyrki Jokipakka (contrat à 1 volet)Detroit Red WingsD331991-08-20FINNo198 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm1,500,000$1,140,957$0$0$No1,500,000$--------1,500,000$--------No--------
Lukas DostalDetroit Red WingsG252000-06-22CZENo174 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm800,000$608,511$0$0$No800,000$--------800,000$--------No--------Lien
Marcus Foligno (contrat à 1 volet)Detroit Red WingsLW331991-08-10USANo227 Lbs6 ft3NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm5,500,000$4,183,511$0$0$No5,500,000$--------5,500,000$--------No--------Lien
Marko Dano (contrat à 1 volet)Detroit Red WingsRW301994-11-30SVKNo201 Lbs5 ft11NoNoTrade2026-02-25NoNo22025-09-30FalseFalsePro & Farm6,100,000$4,639,894$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$4,183,511$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$2,943,670$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$1,521,277$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Pyotr KochetkovDetroit Red WingsG261999-06-25RUSNo179 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$760,638$0$0$No---------------------------Lien
Ryan O'Reilly (contrat à 1 volet)Detroit Red WingsC341991-02-07NANo216 Lbs6 ft1NoNoTrade2026-02-06NoNo12025-09-30FalseFalsePro & Farm8,750,000$6,655,585$0$0$No---------------------------Lien / Lien NHL
Shane GersichDetroit Red WingsLW281996-07-10USANo180 Lbs5 ft11NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm750,000$570,479$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Stefan Noesen (contrat à 1 volet)Detroit Red WingsRW321993-02-12USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$760,638$0$0$No---------------------------Lien
Thatcher DemkoDetroit Red WingsG291995-12-08USANo192 Lbs6 ft4NoNoFree AgentNoNo12025-10-21FalseFalsePro & Farm1,650,000$1,255,053$0$0$No---------------------------Lien
Tim ErixonDetroit Red WingsD341991-02-24USANo198 Lbs6 ft2NoNoTrade2025-12-17NoNo22025-10-10FalseFalsePro & Farm1,200,000$912,766$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Travis SanheimDetroit Red WingsD291996-03-29CANNo181 Lbs6 ft3NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm750,000$570,479$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$456,383$0$0$No600,000$--------600,000$--------No--------Lien
Zach Aston-ReeseDetroit Red WingsC301994-08-10USANo205 Lbs6 ft1NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm2,183,999$1,661,233$0$0$No2,183,999$--------2,183,999$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.30199 Lbs6 ft11.872,944,486$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
67,723,188$33,687,998$2,250,000$2,250,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan LarkinRyan O'ReillyGabriel Landeskog40023
2Marcus FolignoMatt DucheneMarko Dano30023
3Valtteri PuustinenZach Aston-ReeseDmitrij Jaskin20023
4Shane GersichBlake LizotteStefan Noesen10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoMikhail Sergachev40032
2Brent BurnsMorgan Rielly30032
3Artem ZubTim Erixon20032
4Brent BurnsMorgan Rielly10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan LarkinRyan O'ReillyGabriel Landeskog60005
2Marcus FolignoMatt DucheneMarko Dano40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoMorgan Rielly60014
2Brent BurnsMikhail Sergachev40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Blake LizotteShane Gersich60140
2Zach Aston-ReeseValtteri Puustinen40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsArtem Zub60140
2Tim ErixonMikhail Sergachev40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Blake Lizotte60140Brent BurnsArtem Zub60140
2Dylan Larkin40131Tim 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'ReillyGabriel LandeskogJohn MarinoMikhail Sergachev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan LarkinMatt DucheneMarcus FolignoJohn MarinoMikhail Sergachev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitrij Jaskin, Zach Aston-Reese, Blake LizotteDmitrij Jaskin, Zach Aston-ReeseDmitrij Jaskin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tim Erixon, Artem Zub, Morgan RiellyTim ErixonMorgan Rielly, John Marino
Tirs de pénalité
Dylan Larkin, Marko Dano, Gabriel Landeskog, Matt Duchene, Ryan O'Reilly
Gardien
#1 : Pyotr Kochetkov, #2 : Thatcher Demko
Lignes d’attaque personnalisées en prolongation
Ryan O'Reilly, Dylan Larkin, Gabriel Landeskog, Matt Duchene, Marcus Foligno, Marko Dano, , , ,
Lignes de défense personnalisées en prolongation
John Marino, Morgan Rielly, Mikhail Sergachev, Brent Burns, Artem Zub


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%024345553.41%21740853.19%13824257.02%2314198168
2California Golden Seals200010016601000000112-11000100054130.500611170021227531132695019246510220.00%7442.86%024345553.41%21740853.19%13824257.02%482742193920
3Chicago Blackhawks11000000422000000000001100000042231.000471100004043815200321526203266.67%30100.00%024345553.41%21740853.19%13824257.02%1912239168
4Colorado Avalanche1010000024-21010000024-20000000000000.0002351011003511177031641911100.00%20100.00%024345553.41%21740853.19%13824257.02%2214228157
5Columbus Blue Jackets11000000312110000003120000000000031.000358002100332085027138193133.33%4175.00%024345553.41%21740853.19%13824257.02%2213208179
6Edmonton Oilers1010000014-3000000000001010000014-300.000112000100356218029412224125.00%6183.33%024345553.41%21740853.19%13824257.02%2213229157
7Los Angeles Kings1000000134-11000000134-10000000000010.33336900210028111334348832400.00%4250.00%024345553.41%21740853.19%13824257.02%2312229189
8Montreal Canadiens1010000025-3000000000001010000025-300.00024600110032910130396816500.00%4250.00%024345553.41%21740853.19%13824257.02%1911238167
9Philadelphia Flyers1010000002-2000000000001010000002-200.000000000000257108031111324400.00%4175.00%024345553.41%21740853.19%13824257.02%18102310178
10San Jose Sharks11000000422000000000001100000042231.000471100031037717130391528237342.86%4175.00%024345553.41%21740853.19%13824257.02%2313198178
11Seattle Kraken21100000743110000005141010000023-130.500714210013306319192504215146510110.00%7185.71%024345553.41%21740853.19%13824257.02%462738173416
12St Louis Blues1000000134-11000000134-10000000000010.333347001020249395341214273133.33%7271.43%024345553.41%21740853.19%13824257.02%20102511198
13Toronto Maple Leafs11000000312110000003120000000000031.00036900003037134200294623500.00%30100.00%024345553.41%21740853.19%13824257.02%2313199168
14Vancouver Canucks11000000312000000000001100000031231.000358001200331412702474246233.33%20100.00%024345553.41%21740853.19%13824257.02%2415189168
15Vegas Golden Knights11000000321110000003210000000000031.000369002100359121402461227100.00%6183.33%024345553.41%21740853.19%13824257.02%2010209188
16Winnipeg Jets1010000014-31010000014-30000000000000.00012300001032671903210414300.00%20100.00%024345553.41%21740853.19%13824257.02%2213208177
Total188601003484809420000324231944010002425-1290.537488613410131618260019019220918530154191443751520.00%681775.00%024345553.41%21740853.19%13824257.02%401233383166314156
_Since Last GM Reset188601003484809420000324231944010002425-1290.537488613410131618260019019220918530154191443751520.00%681775.00%024345553.41%21740853.19%13824257.02%401233383166314156
_Vs Conference15740100343403832000032122-17420100022184260.578437611910121515250616116816818431133164380611524.59%571475.44%024345553.41%21740853.19%13824257.02%339198316138263131
_Vs Division623000011419-541200001913-42110000056-170.3891422361043702026071685185606812117635.29%24483.33%024345553.41%21740853.19%13824257.02%129761345510049

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1829W2488613460053015419144310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
188610034848
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94200032423
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
94410002425
Derniers 10 matchs
WLOTWOTL SOWSOL
530002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
751520.00%681775.00%0
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
190192209181316182
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
24345553.41%21740853.19%13824257.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
401233383166314156


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 Canucks-Detroit Red Wings-
51275San Jose Sharks-Detroit Red Wings-
53288Detroit Red Wings-Los Angeles Kings-
56299Detroit Red Wings-Vegas Golden Knights-
59313Detroit Red Wings-Ottawa Senators-
61324New York Islanders-Detroit Red Wings-
63338Detroit Red Wings-Carolina Hurricanes-
66359Florida Panthers-Detroit Red Wings-
68369Chicago Blackhawks-Detroit Red Wings-
70390Detroit Red Wings-Columbus Blue Jackets-
72398Detroit Red Wings-Winnipeg Jets-
74413Detroit Red Wings-Edmonton Oilers-
75421Quebec Nordiques-Detroit Red Wings-
79448Detroit Red Wings-Hamilton Mustangs-
81461Pittsburgh Penguins-Detroit Red Wings-
84470Detroit Red Wings-Vancouver Canucks-
86484Seattle Kraken-Detroit Red Wings-
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
Assistance44,79336,08014,96527,2629,426
Attendance PCT83.79%82.49%83.98%76.49%83.12%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 14725 - 81.81% 1,084,130$9,757,173$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
18,131,652$ 77,128,188$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 18,131,652$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
33,608,040$ 143 410,256$ 58,666,608$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
60,652,592$ 52,911,286$ 27,756,094$



Charte de profondeur

Ailier gaucheCentreAilier droit
Dylan LarkinAGE:28PO:55OV:80
Marcus FolignoAGE:33PO:55OV:77
Quinton Byfield (R)AGE:22PO:55OV:77
Alex Laferriere (R)AGE:23PO: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
Gabriel LandeskogAGE:32PO:55OV:78
Marko DanoAGE:30PO:55OV:78
Lucas RaymondAGE:23PO:55OV:77
Aliaksei Protas (R)AGE:24PO:55OV:75
Dmitrij JaskinAGE:32PO:55OV:72
Matt NietoAGE:32PO:55OV:70
Austin WagnerAGE:28PO:55OV:68
Stefan NoesenAGE:32PO:55OV:67
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
Thatcher DemkoAGE:29PO:55OV:81
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

[2026-03-13 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!



Anton Blidh est dehors pour 2 semaines à cause de Torn Left MCL Injury.



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