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

Detroit Red Wings
GP: 16 | W: 7 | L: 9 | OTL: 0 | P: 14
GF: 44 | GA: 55 | PP%: 15.00% | PK%: 79.63%
DG: Yvon Poulin | Morale : 50 | Moyenne d’équipe : 77
Prochains matchs #272 vs Anaheim Ducks

Centre de jeu
New York Rangers
13-3-1, 27pts
3
FINAL
2 Detroit Red Wings
7-9-0, 14pts
Team Stats
L1SéquenceW1
6-1-1Fiche domicile5-3-0
7-2-0Fiche visiteur2-6-0
8-2-0Derniers 10 matchs4-6-0
4.24Buts par match 2.75
3.24Buts contre par match 3.44
29.41%Pourcentage en avantage numérique15.00%
85.42%Pourcentage en désavantage numérique79.63%
Chicago Blackhawks
6-7-3, 15pts
2
FINAL
3 Detroit Red Wings
7-9-0, 14pts
Team Stats
L1SéquenceW1
1-3-2Fiche domicile5-3-0
5-4-1Fiche visiteur2-6-0
5-4-1Derniers 10 matchs4-6-0
2.31Buts par match 2.75
3.56Buts contre par match 3.44
13.56%Pourcentage en avantage numérique15.00%
75.56%Pourcentage en désavantage numérique79.63%
Anaheim Ducks
5-10-0, 10pts
Jour 38
Detroit Red Wings
7-9-0, 14pts
Statistiques d’équipe
W2SéquenceW1
2-4-0Fiche domicile5-3-0
3-6-0Fiche visiteur2-6-0
3-7-010 derniers matchs4-6-0
3.27Buts par match 2.75
3.67Buts contre par match 2.75
20.00%Pourcentage en avantage numérique15.00%
75.93%Pourcentage en désavantage numérique79.63%
Buffalo Sabres
3-9-3, 9pts
Jour 40
Detroit Red Wings
7-9-0, 14pts
Statistiques d’équipe
L2SéquenceW1
3-5-2Fiche domicile5-3-0
0-4-1Fiche visiteur2-6-0
1-8-110 derniers matchs4-6-0
2.67Buts par match 2.75
4.13Buts contre par match 2.75
18.00%Pourcentage en avantage numérique15.00%
78.85%Pourcentage en désavantage numérique79.63%
Detroit Red Wings
7-9-0, 14pts
Jour 41
New York Rangers
13-3-1, 27pts
Statistiques d’équipe
W1SéquenceL1
5-3-0Fiche domicile6-1-1
2-6-0Fiche visiteur7-2-0
4-6-010 derniers matchs8-2-0
2.75Buts par match 4.24
3.44Buts contre par match 4.24
15.00%Pourcentage en avantage numérique29.41%
79.63%Pourcentage en désavantage numérique85.42%
Meneurs d'équipe
Elias LindholmButs
Elias Lindholm
6
Elias LindholmPasses
Elias Lindholm
10
Elias LindholmPoints
Elias Lindholm
16
Alexander RomanovPlus/Moins
Alexander Romanov
2
Connor HellebuyckVictoires
Connor Hellebuyck
6
Joseph WollPourcentage d’arrêts
Joseph Woll
0.888

Statistiques d’équipe
Buts pour
44
2.75 GFG
Tirs pour
465
29.06 Avg
Pourcentage en avantage numérique
15.0%
9 GF
Début de zone offensive
39.0%
Buts contre
55
3.44 GAA
Tirs contre
462
28.88 Avg
Pourcentage en désavantage numérique
79.6%%
11 GA
Début de la zone défensive
40.6%
Informations de l'équipe

Directeur généralYvon Poulin
EntraîneurRick Tocchet
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineRyan Nugent-Hopkins
Assistant #1Nikita Kucherov
Assistant #2Esa Lindell


Informations de l’aréna

NomLittle Caesars Arena
Capacité19,000
Assistance18,272
Billets de saison17,670


Informations de la formation

Équipe Pro20
Équipe Mineure24
Limite contact 44 / 60
Espoirs10


Plafond salarial

Cap Salarial de la Saison estimé83,769,047$
Plafond salarial disponible11,730,953$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour14,281,455$
Dépenses annuelles à ce jour15,270,395$
Revenus de la saison estimés58,911,002$
Dépenses de la saison estimées68,498,629$
Compte bancaire actuel21,690,260$
Compte bancaire projeté22,800,265$


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
1Nikita Kucherov (A)X100.006852778872919296459991709287820508503229,500,000$
2Ryan Nugent-Hopkins (C)XX100.006942828577889488738380808489850508103245,125,000$
3Bryan RustXX100.007043888476909089508085738685750508003335,125,000$
4Elias LindholmXXX100.007442918380899286857977828287770508003057,750,000$
5Alex IafalloX100.007244938178858780517574817879690507703133,666,666$
6Alexander KerfootXX100.007341898374878880767772797979730507703113,000,000$
7Brett HowdenXX100.007955728182858680767476787976660507702752,500,000$
8Nicolas RoyXX100.007554767583868781727675757779690507602823,000,000$
9Jason DickinsonXX100.007859727881868876747171777584740507503014,250,000$
10Eric RobinsonXX100.007842917483828678497371717479690507403041,700,000$
11Juuso ParssinenXXX100.007546857387837471696967687159500507002421,250,000$
12Tye KartyeXXX100.008455717680787572506768707256500507002421,250,000$
13Esa Lindell (A)X99.007042938185899080407769967784800508203155,250,000$
14Alexander RomanovX99.007743868487918378407568937768580508002556,250,000$
15Nick SeelerX100.007768718280868876407465947479690508003232,700,000$
16Henri JokiharjuX100.007043877681878574407066777276660507502633,000,000$
17Mattias SamuelssonX100.007141817490898073406966807168610507502554,285,714$
18Derek ForbortX100.006760707385878370406764766884740507403312,000,000$
Rayé
Équipe Mineure
1Jack WilliamsX98.00564069697173596246595962645150050620231923,750$
2Karsen DorwartX98.00594069687473596246595960635150050620231975,000$
3Cole ReinhardtX98.00644662656766646343615662615350050610252812,500$
4Ben McCartneyX99.00605258656464626243605757615150050600242775,000$
5Logan BrownX99.00614171597467646056585558587555050600271775,000$
6Emmitt FinnieX99.00614066606255535648545454575050050560202845,000$
7Jayden StrubleX99.007860677483817370406864747056500507102421,412,500$
8Cam DineenX100.00564273716168676640645868655550050640271775,000$
9Louie BelpedioX100.00605358666270686340605567615952050630292775,000$
10Charles-Alexis LegaultX100.00644461626561606140575564595050050610222915,833$
11Tobias BjornfotX100.00624171656563615940565365595250050610241775,000$
12Joni JurmoX100.00624066606659575540535361565150050590231850,000$
13Jesse PulkkinenX100.00624066596655535540545359565050050580202880,833$
14Vasily PodkolzinXX97.007556727375777572486965687062530506902441,000,000$
15Jesse YlonenX100.006343796971737066446459636462520506402600$
16Ryan GreeneX97.00564069697175596246595961645150050620222950,000$
17Riley SutterX100.006344676069666559565453565753500505802600$
18Connor MayerX100.005941676461626158405456645952500506002600$
19Drew BavaroX100.006141696365636056405352625752500506002500$
20Case McCarthyX100.006140666262595755405453615751500505902400$
MOYENNE D’ÉQUIPE99.5368467472747674705066647069655905069
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
1Connor Hellebuyck100.00909496859595949595938784770508503258,500,000$
2Joseph Woll100.00848283828685848584847962560507602733,666,667$
Rayé
Équipe Mineure
1Kaapo Kahkonen100.00767679757975747274787170550506902911,150,000$
2Dylan Garand97.0073636861687074697270565150050630231775,000$
3Henrik Tikkanen100.0068636370676669666666575250050610251823,750$
4Ben Kraws100.0064565666626061586260515250050560251775,000$
MOYENNE D’ÉQUIPE99.507672747376757674767567625605068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet1111111CAN6151$


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
1Elias LindholmDetroit Red WingsC/LW/RW1661016140184137133916.22%732220.151238500000451056.96%38100000.9900000121
2Nikita KucherovDetroit Red WingsRW166814-410022226912448.70%432120.1011213530221420242.86%10500000.8700000101
3Alexander KerfootDetroit Red WingsC/RW16551010014223971312.82%027717.360221052000000031.58%1900000.7200000020
4Esa LindellDetroit Red WingsD16191021201524268263.85%3040125.121231354022044000%000000.5000000010
5Nick SeelerDetroit Red WingsD1601010-26036171413160%2033520.96033752000042000%000000.6000000010
6Alex IafalloDetroit Red WingsLW1626814099336286.06%323114.4400002000020063.64%2200000.6900000100
7Brett HowdenDetroit Red WingsC/LW16448-36029333192212.90%623914.96123953000001040.00%1500000.6700000200
8Alexander RomanovDetroit Red WingsD16347216035223071310.00%2440025.053142254000041100%000000.3500000001
9Bryan RustDetroit Red WingsLW/RW16257-5201025389395.26%432820.550009530000470037.00%10000000.4300000000
10Henri JokiharjuDetroit Red WingsD16257-8100198135815.38%2130519.06213952000041000%000000.4600000000
11Ryan Nugent-HopkinsDetroit Red WingsC/RW16437-48020343682011.11%232320.220115522023421149.86%36100000.4300000100
12Nicolas RoyDetroit Red WingsC/RW16246-3120711259238.00%319512.24000000000101036.84%1900000.6100000101
13Jason DickinsonDetroit Red WingsC/RW16134-3601121203165.00%318611.6600010000000056.60%21200000.4300000010
14Derek ForbortDetroit Red WingsD16123-919520611129.09%1823314.6200000000020000%000000.2600010010
15Mattias SamuelssonDetroit Red WingsD16123-30010811379.09%1424215.150000000000000%000000.2500000100
16Eric RobinsonDetroit Red WingsLW/RW16202-3003784925.00%21167.3100000000000025.00%400000.3400000000
17Juuso ParssinenDetroit Red WingsC/LW/RW16101-30051060316.67%01167.3100000000001052.50%12000000.1700000001
18Tye KartyeDetroit Red WingsC/LW/RW16101-340123186105.56%11167.3100000000001060.00%500000.1700000000
Statistiques d’équipe totales ou en moyenne2884480124-4611952953234651233389.46%162469716.319152410653324643837351.28%136300000.5300010885
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
1Connor HellebuyckDetroit Red Wings136700.8813.41721004134501100133001
2Joseph WollDetroit Red Wings41200.8883.32235001311600000313001
Statistiques d’équipe totales ou en moyenne177900.8833.39956005446101101616002


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Alex IafalloDetroit Red WingsLW311993-12-21USANo201 Lbs6 ft0NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm3,666,666$2,998,263$3,666,666$2,998,263$No3,666,666$3,666,666$-------3,666,666$3,666,666$-------NoNo-------Lien NHL
Alexander KerfootDetroit Red WingsC/RW311994-08-11CANNo185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm3,000,000$2,453,125$3,000,000$2,453,125$No---------------------------
Alexander RomanovDetroit Red WingsD252000-01-06RUSNo220 Lbs6 ft1NoNoAssign ManuallyNoNo52025-07-02FalseFalsePro & Farm6,250,000$5,110,677$6,250,000$5,110,677$No6,250,000$6,250,000$6,250,000$6,250,000$-----6,250,000$6,250,000$6,250,000$6,250,000$-----NoNoNoNo-----Lien NHL
Brett HowdenDetroit Red WingsC/LW271998-03-29CANNo201 Lbs6 ft2NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm2,500,000$2,044,271$2,500,000$2,044,271$No2,500,000$2,500,000$2,500,000$2,500,000$-----2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----Lien NHL
Bryan RustDetroit Red WingsLW/RW331992-05-11USANo198 Lbs5 ft11NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm5,125,000$4,190,755$5,125,000$4,190,755$No5,125,000$5,125,000$-------5,125,000$5,125,000$-------NoNo-------Lien NHL
Connor HellebuyckDetroit Red WingsG321993-05-19USANo207 Lbs6 ft4NoNoAssign ManuallyNoYes52025-05-26FalseFalsePro & Farm8,500,000$6,950,521$8,500,000$6,950,521$No8,500,000$8,500,000$8,500,000$8,500,000$-----8,500,000$8,500,000$8,500,000$8,500,000$-----NoNoNoNo-----Lien NHL
Derek ForbortDetroit Red WingsD331992-03-04USANo216 Lbs6 ft4NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm2,000,000$1,635,417$2,000,000$1,635,417$No---------------------------Lien NHL
Elias LindholmDetroit Red WingsC/LW/RW301994-12-02SWENo202 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,750,000$6,337,240$7,750,000$6,337,240$No7,750,000$7,750,000$7,750,000$7,750,000$-----7,750,000$7,750,000$7,750,000$7,750,000$-----NoNoNoNo-----Lien NHL
Eric RobinsonDetroit Red WingsLW/RW301995-06-14USANo211 Lbs6 ft2NoNoAssign ManuallyNoNo42025-06-29FalseFalsePro & Farm1,700,000$1,390,104$1,700,000$1,390,104$No1,700,000$1,700,000$1,700,000$------1,700,000$1,700,000$1,700,000$------NoNoNo------Lien NHL
Esa LindellDetroit Red WingsD311994-05-23FINNo217 Lbs6 ft3NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm5,250,000$4,292,969$5,250,000$4,292,969$No5,250,000$5,250,000$5,250,000$5,250,000$-----5,250,000$5,250,000$5,250,000$5,250,000$-----NoNoNoNo-----Lien NHL
Henri JokiharjuDetroit Red WingsD261999-06-17FINNo200 Lbs6 ft0NoNoAssign ManuallyNoNo32025-07-02FalseFalsePro & Farm3,000,000$2,453,125$3,000,000$2,453,125$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Lien NHL
Jason DickinsonDetroit Red WingsC/RW301995-07-04CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm4,250,000$3,475,260$4,250,000$3,475,260$No---------------------------Lien NHL
Joseph WollDetroit Red WingsG271998-07-12USANo206 Lbs6 ft3NoNoAssign ManuallyNoYes32025-07-03FalseFalsePro & Farm3,666,667$2,998,264$3,666,667$2,998,264$No3,666,667$3,666,667$-------3,666,667$3,666,667$-------NoNo-------Lien NHL
Juuso ParssinenDetroit Red WingsC/LW/RW242001-02-01FINNo212 Lbs6 ft3NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm1,250,000$1,022,135$1,250,000$1,022,135$No1,250,000$--------1,250,000$--------No--------Lien NHL
Mattias SamuelssonDetroit Red WingsD252000-03-14USANo227 Lbs6 ft4NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm4,285,714$3,504,464$4,285,714$3,504,464$No4,285,714$4,285,714$4,285,714$4,285,714$-----4,285,714$4,285,714$4,285,714$4,285,714$-----NoNoNoNo-----Lien NHL
Nick SeelerDetroit Red WingsD321993-06-03USANo197 Lbs6 ft3NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm2,700,000$2,207,812$2,700,000$2,207,812$No2,700,000$2,700,000$-------2,700,000$2,700,000$-------NoNo-------Lien NHL
Nicolas RoyDetroit Red WingsC/RW281997-02-05CANNo201 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm3,000,000$2,453,125$3,000,000$2,453,125$No3,000,000$--------3,000,000$--------No--------Lien NHL
Nikita KucherovDetroit Red WingsRW321993-06-17RUSNo180 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm9,500,000$7,768,229$9,500,000$7,768,229$No9,500,000$--------9,500,000$--------No--------Lien NHL
Ryan Nugent-HopkinsDetroit Red WingsC/RW321993-04-12CANNo192 Lbs6 ft1NoNoAssign ManuallyNoNo42025-05-26FalseFalsePro & Farm5,125,000$4,190,755$5,125,000$4,190,755$No5,125,000$5,125,000$5,125,000$------5,125,000$5,125,000$5,125,000$------NoNoNo------Lien NHL
Tye KartyeDetroit Red WingsC/LW/RW242001-04-30CANNo202 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-22FalseFalsePro & Farm1,250,000$1,022,135$1,250,000$1,022,135$No1,250,000$--------1,250,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.15204 Lbs6 ft23.204,188,452$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
83,769,047$74,519,047$59,519,047$41,360,714$34,535,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bryan RustElias LindholmNikita Kucherov30122
2Alex IafalloRyan Nugent-HopkinsAlexander Kerfoot30122
3Brett HowdenJason DickinsonNicolas Roy25122
4Eric RobinsonJuuso ParssinenTye Kartye15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Esa LindellAlexander Romanov30122
2Nick SeelerMattias Samuelsson30122
3Derek ForbortHenri Jokiharju25122
4Esa LindellAlexander Romanov15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bryan RustRyan Nugent-HopkinsNikita Kucherov50122
2Brett HowdenElias LindholmAlexander Kerfoot50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Esa LindellAlexander Romanov50122
2Nick SeelerHenri Jokiharju50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikita KucherovRyan Nugent-Hopkins50122
2Bryan RustElias Lindholm50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Esa LindellAlexander Romanov50122
2Nick SeelerHenri Jokiharju50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nikita Kucherov50122Esa LindellAlexander Romanov50122
2Ryan Nugent-Hopkins50122Nick SeelerHenri Jokiharju50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nikita KucherovRyan Nugent-Hopkins50122
2Bryan RustElias Lindholm50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Esa LindellAlexander Romanov50122
2Nick SeelerHenri Jokiharju50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bryan RustRyan Nugent-HopkinsNikita KucherovEsa LindellAlexander Romanov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bryan RustRyan Nugent-HopkinsNikita KucherovEsa LindellAlexander Romanov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Iafallo, Jason Dickinson, Nicolas RoyAlex Iafallo, Jason DickinsonNicolas Roy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Samuelsson, Derek Forbort, Nick SeelerMattias SamuelssonDerek Forbort, Nick Seeler
Tirs de pénalité
Nikita Kucherov, Ryan Nugent-Hopkins, Bryan Rust, Elias Lindholm, Alexander Kerfoot
Gardien
#1 : Connor Hellebuyck, #2 : Joseph Woll
Lignes d’attaque personnalisées en prolongation
Nikita Kucherov, Ryan Nugent-Hopkins, Bryan Rust, Elias Lindholm, Alexander Kerfoot, Brett Howden, Alex Iafallo, Jason Dickinson, Nicolas Roy, Eric Robinson
Lignes de défense personnalisées en prolongation
Esa Lindell, Alexander Romanov, Nick Seeler, Henri Jokiharju, Mattias Samuelsson


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 Ducks11000000321000000000001100000032121.00035800111026881002311816100.00%4175.00%027653151.98%27055448.74%15327855.04%2417237126
2Buffalo Sabres11000000413000000000001100000041321.0004812003010391310160291011166116.67%10100.00%127653151.98%27055448.74%15327855.04%2517217137
3Chicago Blackhawks11000000321110000003210000000000021.00035800003028124120271210153133.33%4175.00%027653151.98%27055448.74%15327855.04%2619206126
4Edmonton Oilers1010000017-61010000017-60000000000000.000123001000281211503391014200.00%5260.00%027653151.98%27055448.74%15327855.04%2216257115
5Florida Panthers11000000321110000003210000000000021.0003580011103111812027124224250.00%20100.00%027653151.98%27055448.74%15327855.04%2720196136
6Los Angeles Kings1010000035-2000000000001010000035-200.00035800111022710502610414500.00%20100.00%027653151.98%27055448.74%15327855.04%2014267125
7Montreal Canadiens11000000541110000005410000000000021.000591400140033161520301410206116.67%5180.00%127653151.98%27055448.74%15327855.04%2516228126
8New York Islanders1010000045-1000000000001010000045-100.0004711002200411018130246417500.00%20100.00%027653151.98%27055448.74%15327855.04%2618217126
9New York Rangers1010000023-11010000023-10000000000000.0002350002002911108025122214125.00%10100.00%027653151.98%27055448.74%15327855.04%2214248137
10San Jose Sharks1010000002-2000000000001010000002-200.000000000000224810033161417300.00%7185.71%027653151.98%27055448.74%15327855.04%2114267126
11St. Louis Blues21100000770110000005321010000024-220.5007132010322047172190711418286116.67%9277.78%027653151.98%27055448.74%15327855.04%473247152513
12Tampa Bay Lightning11000000422110000004220000000000021.00048120012102791170162222300.00%10100.00%027653151.98%27055448.74%15327855.04%2517197147
13Toronto Maple Leafs2020000049-51010000024-21010000025-300.000481200202072252819065288469111.11%4250.00%027653151.98%27055448.74%15327855.04%513845122212
14Vegas Golden Knights1010000014-3000000000001010000014-300.00012300001020677033614273133.33%7185.71%027653151.98%27055448.74%15327855.04%1910268147
Total1679000004455-11853000002527-2826000001928-9140.4384480124101615130465161169135046216211929560915.00%541179.63%227653151.98%27055448.74%15327855.04%386269369117204104
_Since Last GM Reset1679000004455-11853000002527-2826000001928-9140.4384480124101615130465161169135046216211929560915.00%541179.63%227653151.98%27055448.74%15327855.04%386269369117204104
_Vs Conference84400000262605320000016151312000001011-180.5002648740010115027295100770216844116437616.22%16381.25%227653151.98%27055448.74%15327855.04%2021441735810354
_Vs Division642000002018243100000141222110000066080.6672038580087502027472560167663512628517.86%13376.92%227653151.98%27055448.74%15327855.04%154110128427740

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1614W1448012446546216211929510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
167900004455
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85300002527
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82600001928
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
60915.00%541179.63%2
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
16116913501615130
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
27653151.98%27055448.74%15327855.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
386269369117204104


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
310Montreal Canadiens4Detroit Red Wings5WSommaire du match
525Toronto Maple Leafs4Detroit Red Wings2LSommaire du match
743Detroit Red Wings2Toronto Maple Leafs5LSommaire du match
958Florida Panthers2Detroit Red Wings3WSommaire du match
1172Tampa Bay Lightning2Detroit Red Wings4WSommaire du match
1390Edmonton Oilers7Detroit Red Wings1LSommaire du match
16109Detroit Red Wings4Buffalo Sabres1WSommaire du match
17115Detroit Red Wings4New York Islanders5LSommaire du match
19133St. Louis Blues3Detroit Red Wings5WSommaire du match
22158Detroit Red Wings2St. Louis Blues4LSommaire du match
24177Detroit Red Wings3Los Angeles Kings5LSommaire du match
25180Detroit Red Wings3Anaheim Ducks2WSommaire du match
27198Detroit Red Wings0San Jose Sharks2LSommaire du match
29210Detroit Red Wings1Vegas Golden Knights4LSommaire du match
32227New York Rangers3Detroit Red Wings2LSommaire du match
34244Chicago Blackhawks2Detroit Red Wings3WSommaire du match
38272Anaheim Ducks-Detroit Red Wings-
40287Buffalo Sabres-Detroit Red Wings-
41299Detroit Red Wings-New York Rangers-
43308Seattle Kraken-Detroit Red Wings-
45321New York Islanders-Detroit Red Wings-
47335Columbus Blue Jackets-Detroit Red Wings-
49354Detroit Red Wings-New Jersey Devils-
51361Nashville Predators-Detroit Red Wings-
53377Tampa Bay Lightning-Detroit Red Wings-
54394Detroit Red Wings-Boston Bruins-
57412Boston Bruins-Detroit Red Wings-
59432Detroit Red Wings-Columbus Blue Jackets-
61452Detroit Red Wings-Seattle Kraken-
63464Detroit Red Wings-Vancouver Canucks-
65477Detroit Red Wings-Calgary Flames-
66491Detroit Red Wings-Edmonton Oilers-
68504Detroit Red Wings-Chicago Blackhawks-
71522New York Islanders-Detroit Red Wings-
72530Utah Mammoth-Detroit Red Wings-
75550Detroit Red Wings-Washington Capitals-
76562Washington Capitals-Detroit Red Wings-
78579Dallas Stars-Detroit Red Wings-
82593Detroit Red Wings-Carolina Hurricanes-
83601Toronto Maple Leafs-Detroit Red Wings-
86626Winnipeg Jets-Detroit Red Wings-
87635Detroit Red Wings-Pittsburgh Penguins-
89644Pittsburgh Penguins-Detroit Red Wings-
91664Detroit Red Wings-Ottawa Senators-
94684Vancouver Canucks-Detroit Red Wings-
96703Detroit Red Wings-Montreal Canadiens-
98717Carolina Hurricanes-Detroit Red Wings-
99729Detroit Red Wings-Boston Bruins-
102749San Jose Sharks-Detroit Red Wings-
104768Ottawa Senators-Detroit Red Wings-
107788Detroit Red Wings-Toronto Maple Leafs-
108801Detroit Red Wings-Minnesota Wild-
110815Detroit Red Wings-Winnipeg Jets-
113833Los Angeles Kings-Detroit Red Wings-
115846Washington Capitals-Detroit Red Wings-
117860Colorado Avalanche-Detroit Red Wings-
119883Detroit Red Wings-Colorado Avalanche-
121898Detroit Red Wings-Utah Mammoth-
143920Detroit Red Wings-Ottawa Senators-
145942Detroit Red Wings-Carolina Hurricanes-
147955Detroit Red Wings-Nashville Predators-
149970Vegas Golden Knights-Detroit Red Wings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151983Florida Panthers-Detroit Red Wings-
1531005Detroit Red Wings-New Jersey Devils-
1551016Detroit Red Wings-Florida Panthers-
1571030Detroit Red Wings-Tampa Bay Lightning-
1591053Detroit Red Wings-Dallas Stars-
1611063Calgary Flames-Detroit Red Wings-
1641085Montreal Canadiens-Detroit Red Wings-
1661108Boston Bruins-Detroit Red Wings-
1691122Ottawa Senators-Detroit Red Wings-
1721150Detroit Red Wings-Buffalo Sabres-
1731163Philadelphia Flyers-Detroit Red Wings-
1761183Detroit Red Wings-Pittsburgh Penguins-
1781196Detroit Red Wings-Philadelphia Flyers-
1801207Detroit Red Wings-New York Rangers-
1811222Minnesota Wild-Detroit Red Wings-
1831235Columbus Blue Jackets-Detroit Red Wings-
1851250Philadelphia Flyers-Detroit Red Wings-
1871265New Jersey Devils-Detroit Red Wings-
1891282Detroit Red Wings-Tampa Bay Lightning-
1911303Detroit Red Wings-Florida Panthers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance46,32038,72015,15130,77915,203
Attendance PCT96.50%96.80%94.69%96.18%95.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 18272 - 96.17% 1,785,182$14,281,455$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
15,270,395$ 83,769,047$ 83,769,047$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
83,769,047$ 15,270,395$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
58,911,002$ 157 436,297$ 68,498,629$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
69,859,557$ 21,690,260$ 22,800,265$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
83,769,047$ 11,730,953$ 95,500,000$ 13,169,047$



Charte de profondeur

Ailier gaucheCentreAilier droit
Bryan RustAGE:33PO:0OV:80
Elias LindholmAGE:30PO:0OV:80
Alex IafalloAGE:31PO:0OV:77
Brett HowdenAGE:27PO:0OV:77
Eric RobinsonAGE:30PO:0OV:74
Juuso ParssinenAGE:24PO:0OV:70
Tye KartyeAGE:24PO:0OV:70
Vasily PodkolzinAGE:24PO:0OV:69
Karsen DorwartAGE:23PO:0OV:62
Cole ReinhardtAGE:25PO:0OV:61
Ben McCartneyAGE:24PO:0OV:60
Ryan Nugent-HopkinsAGE:32PO:0OV:81
Elias LindholmAGE:30PO:0OV:80
Alexander KerfootAGE:31PO:0OV:77
Brett HowdenAGE:27PO:0OV:77
Nicolas RoyAGE:28PO:0OV:76
Jason DickinsonAGE:30PO:0OV:75
Juuso ParssinenAGE:24PO:0OV:70
Tye KartyeAGE:24PO:0OV:70
Ryan GreeneAGE:22PO:0OV:62
Logan BrownAGE:27PO:0OV:60
Emmitt FinnieAGE:20PO:0OV:56
Nikita KucherovAGE:32PO:0OV:85
Ryan Nugent-HopkinsAGE:32PO:0OV:81
Bryan RustAGE:33PO:0OV:80
Elias LindholmAGE:30PO:0OV:80
Alexander KerfootAGE:31PO:0OV:77
Nicolas RoyAGE:28PO:0OV:76
Jason DickinsonAGE:30PO:0OV:75
Eric RobinsonAGE:30PO:0OV:74
Juuso ParssinenAGE:24PO:0OV:70
Tye KartyeAGE:24PO:0OV:70
Vasily PodkolzinAGE:24PO:0OV:69
Jesse YlonenAGE:26PO:0OV:64
Jack WilliamsAGE:23PO:0OV:62
Riley SutterAGE:26PO:0OV:58

Défense #1Défense #2Gardien
Esa LindellAGE:31PO:0OV:82
Alexander RomanovAGE:25PO:0OV:80
Nick SeelerAGE:32PO:0OV:80
Henri JokiharjuAGE:26PO:0OV:75
Mattias SamuelssonAGE:25PO:0OV:75
Derek ForbortAGE:33PO:0OV:74
Jayden StrubleAGE:24PO:0OV:71
Cam DineenAGE:27PO:0OV:64
Louie BelpedioAGE:29PO:0OV:63
Charles-Alexis LegaultAGE:22PO:0OV:61
Tobias BjornfotAGE:24PO:0OV:61
Connor MayerAGE:26PO:0OV:60
Drew BavaroAGE:25PO:0OV:60
Case McCarthyAGE:24PO:0OV:59
Joni JurmoAGE:23PO:0OV:59
Jesse PulkkinenAGE:20PO:0OV:58
Connor HellebuyckAGE:32PO:0OV:85
Joseph WollAGE:27PO:0OV:76
Kaapo KahkonenAGE:29PO:0OV:69
Dylan GarandAGE:23PO:0OV:63
Henrik TikkanenAGE:25PO:0OV:61
Ben KrawsAGE:25PO:0OV:56

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
Ben DanfordDetroit Red Wings202582Fantasy DraftLien
Carl AxelssonDetroit Red Wings2025175Fantasy DraftLien
Charlie ElickDetroit Red Wings2025146Fantasy DraftLien
Ilya NabokovDetroit Red Wings202518Fantasy DraftLien
Jacob BattagliaDetroit Red Wings2025111Fantasy DraftLien
Juraj PekarcikDetroit Red Wings2025210Fantasy DraftLien
Noel FransenDetroit Red Wings2025239Fantasy DraftLien
Reko AlankoDetroit Red Wings2025303Fantasy DraftLien
Ryder RitchieDetroit Red Wings202547Fantasy DraftLien
Tomas MrsicDetroit Red Wings2025274Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Detroit Red Wings Historique de transactions

[2025-11-04 08:04:29] New Record for Team's Most Hits (27) in 1 Game for Detroit Red Wings!
[2025-11-02 08:39:10] New Record for Team's Most Penalties Minutes (14) in 1 Game for Detroit Red Wings!
[2025-10-23 08:01:17] New Record for Team's Most Shots (41) in 1 Game for Detroit Red Wings!
[2025-10-22 08:11:31] New Record for Team's Most Penalties Minutes (11) in 1 Game for Detroit Red Wings!
[2025-10-22 08:11:31] New Record for Team's Most Shots (39) in 1 Game for Detroit Red Wings!
[2025-10-13 09:30:47] New Record for Team's Most Hits (25) in 1 Game for Detroit Red Wings!
[2025-10-10 08:04:49] New Record for Team's Most Hits (21) in 1 Game for Detroit Red Wings!
[2025-10-10 08:04:49] New Record for Team's Most Shots Blocked (18) in 1 Game for Detroit Red Wings!
[2025-10-10 08:04:49] New Record for Team's Most Shots (36) in 1 Game for Detroit Red Wings!
[2025-10-09 08:02:58] New Record for Team's Most Hits (20) in 1 Game for Detroit Red Wings!
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (10) in 1 Game for Detroit Red Wings!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (14) in 1 Game for Detroit Red Wings!
[2025-10-09 08:02:58] New Record for Team's Most Shots (33) in 1 Game for Detroit Red Wings!
[2025-10-09 08:02:58] New Record for Team's Most Points (14) in 1 Game for Detroit Red Wings!
[2025-10-09 08:02:58] New Record for Team's Most Assists (9) in 1 Game for Detroit Red Wings!
[2025-10-09 08:02:58] New Record for Team's Most Goals (5) in 1 Game for Detroit Red Wings!
[2025-09-19 15:17:47] Evan Cormier was released.
[2025-09-19 15:17:47] Nick Wolff was released.
[2025-09-19 15:17:47] Mason Morelli was released.
[2025-09-19 15:17:47] Mark Giordano was released.
[2025-09-19 15:17:47] Jan Rutta was released.
[2025-09-19 15:17:47] Brett Murray was released.
[2025-09-10 23:12:46] Grand Rapids Griffins hired Martin St. Louis for $1 for 5 year(s).
[2025-09-10 23:12:40] Detroit Red Wings hired Rick Tocchet for $1 for 5 year(s).
[2025-07-26 09:36:33] Esa Lindell has been selected as assistant for Detroit Red Wings.
[2025-07-26 09:36:33] Unknown Player is no longer as assistant for Detroit Red Wings.
[2025-07-26 09:36:33] Nikita Kucherov has been selected as assistant for Detroit Red Wings.
[2025-07-26 09:36:33] Unknown Player is no longer as assistant for Detroit Red Wings.
[2025-07-26 09:36:33] Ryan Nugent-Hopkins has been selected as captain for Detroit Red Wings.
[2025-07-26 09:36:33] Unknown Player is no longer captain 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