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Detroit Red Wings
GP: 40 | W: 22 | L: 17 | OTL: 1 | P: 45
GF: 116 | GA: 112 | PP%: 17.57% | PK%: 82.31%
DG: Yvon Poulin | Morale : 50 | Moyenne d’équipe : 77
Prochains matchs #626 vs Winnipeg Jets

Centre de jeu
Detroit Red Wings
22-17-1, 45pts
2
FINAL
3 Carolina Hurricanes
25-12-1, 51pts
Team Stats
L2SéquenceW3
14-7-0Fiche domicile16-3-1
8-10-1Fiche visiteur9-9-0
7-3-0Derniers 10 matchs7-3-0
2.90Buts par match 3.61
2.80Buts contre par match 3.11
17.57%Pourcentage en avantage numérique24.62%
82.31%Pourcentage en désavantage numérique76.32%
Toronto Maple Leafs
27-11-0, 54pts
5
FINAL
2 Detroit Red Wings
22-17-1, 45pts
Team Stats
W4SéquenceL2
17-5-0Fiche domicile14-7-0
10-6-0Fiche visiteur8-10-1
9-1-0Derniers 10 matchs7-3-0
4.66Buts par match 2.90
3.55Buts contre par match 2.80
25.19%Pourcentage en avantage numérique17.57%
73.86%Pourcentage en désavantage numérique82.31%
Winnipeg Jets
15-16-6, 36pts
Jour 86
Detroit Red Wings
22-17-1, 45pts
Statistiques d’équipe
W2SéquenceL2
9-8-1Fiche domicile14-7-0
6-8-5Fiche visiteur8-10-1
5-3-210 derniers matchs7-3-0
3.16Buts par match 2.90
3.32Buts contre par match 2.90
22.22%Pourcentage en avantage numérique17.57%
78.40%Pourcentage en désavantage numérique82.31%
Detroit Red Wings
22-17-1, 45pts
Jour 87
Pittsburgh Penguins
15-17-5, 35pts
Statistiques d’équipe
L2SéquenceW1
14-7-0Fiche domicile7-6-5
8-10-1Fiche visiteur8-11-0
7-3-010 derniers matchs6-2-2
2.90Buts par match 3.14
2.80Buts contre par match 3.14
17.57%Pourcentage en avantage numérique15.75%
82.31%Pourcentage en désavantage numérique76.07%
Pittsburgh Penguins
15-17-5, 35pts
Jour 89
Detroit Red Wings
22-17-1, 45pts
Statistiques d’équipe
W1SéquenceL2
7-6-5Fiche domicile14-7-0
8-11-0Fiche visiteur8-10-1
6-2-210 derniers matchs7-3-0
3.14Buts par match 2.90
3.70Buts contre par match 2.90
15.75%Pourcentage en avantage numérique17.57%
76.07%Pourcentage en désavantage numérique82.31%
Meneurs d'équipe
Buts
Alexander Kerfoot
14
Nikita KucherovPasses
Nikita Kucherov
27
Nikita KucherovPoints
Nikita Kucherov
38
Plus/Moins
Alexander Kerfoot
9
Connor HellebuyckVictoires
Connor Hellebuyck
16
Joseph WollPourcentage d’arrêts
Joseph Woll
0.916

Statistiques d’équipe
Buts pour
116
2.90 GFG
Tirs pour
1224
30.60 Avg
Pourcentage en avantage numérique
17.6%
26 GF
Début de zone offensive
40.3%
Buts contre
112
2.80 GAA
Tirs contre
1141
28.53 Avg
Pourcentage en désavantage numérique
82.3%%
23 GA
Début de la zone défensive
40.4%
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
Assistance18,230
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 jour37,521,931$
Dépenses annuelles à ce jour36,648,948$
Revenus de la saison estimés35,735,172$
Dépenses de la saison estimées47,120,076$
Compte bancaire actuel27,358,647$
Compte bancaire projeté22,802,017$


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)X99.006852778872919296459991709287820508503229,500,000$
2Ryan Nugent-Hopkins (C)XX99.006942828577889488738380808489850508103245,125,000$
3Bryan RustXX99.007043888476909089508085738685750508003335,125,000$
4Elias LindholmXXX99.007442918380899286857977828287770508003157,750,000$
5Alex IafalloX100.007244938178858780517574817879690507703233,666,666$
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)X98.007042938185899080407769967784800508203155,250,000$
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
1Vasily PodkolzinXX96.007556727375777572486965687062530506902441,000,000$
2Jack WilliamsX99.00564069697173596246595962645150050620231923,750$
3Karsen DorwartX99.00594069687473596246595960635150050620231975,000$
4Ryan GreeneX96.00564069697175596246595961645150050620222950,000$
5Cole ReinhardtX100.00644662656766646343615662615350050610252812,500$
6Ben McCartneyX98.00605258656464626243605757615150050600242775,000$
7Logan BrownX99.00614171597467646056585558587555050600271775,000$
8Emmitt FinnieX100.00614066606255535648545454575050050560202845,000$
9Jayden StrubleX100.007860677483817370406864747056500507102421,412,500$
10Cam DineenX100.00564273716168676640645868655550050640271775,000$
11Louie BelpedioX100.00605358666270686340605567615952050630292775,000$
12Charles-Alexis LegaultX100.00644461626561606140575564595050050610222915,833$
13Tobias BjornfotX100.00624171656563615940565365595250050610241775,000$
14Joni JurmoX100.00624066606659575540535361565150050590231850,000$
15Jesse PulkkinenX100.00624066596655535540545359565050050580212880,833$
16Jesse YlonenX100.006343796971737066446459636462520506402600$
17Riley SutterX100.006344676069666559565453565753500505802600$
18Connor MayerX100.005941676461626158405456645952500506002600$
19Drew BavaroX100.006141696365636056405352625752500506002500$
20Case McCarthyX100.006140666262595755405453615751500505902400$
MOYENNE D’ÉQUIPE99.4768467472747674705066647069655905069
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 Hellebuyck96.00909496859595949595938784770508503258,500,000$
2Joseph Woll100.00848283828685848584847962560507602733,666,667$
Rayé
Équipe Mineure
1Kaapo Kahkonen100.00767679757975747274787170550506902911,150,000$
2Dylan Garand100.0073636861687074697270565150050630231775,000$
3Henrik Tikkanen100.0068636370676669666666575250050610251823,750$
4Ben Kraws100.0064565666626061586260515250050560251775,000$
MOYENNE D’ÉQUIPE99.337672747376757674767567625605068
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
1Nikita KucherovDetroit Red WingsRW40112738-11605871163381066.75%580820.211892812512331051242.31%26000010.9402000314
2Elias LindholmDetroit Red WingsC/LW/RW40112435614041103103248210.68%1580720.1919102112500021082056.88%91600000.8702000231
3Brett HowdenDetroit Red WingsC/LW401115267180655389255412.36%760315.0836925129000002046.51%4300000.8600000340
4Alexander KerfootDetroit Red WingsC/RW40141125900344585174916.47%364816.2225726129000012042.50%4000000.7711000231
5Ryan Nugent-HopkinsDetroit Red WingsC/RW40121224-42004494108255811.11%581120.283471712421341032350.17%88500000.5902000121
6Bryan RustDetroit Red WingsLW/RW40101323-2100306111235898.93%881520.382133112500011111038.61%25900000.5622000012
7Nick SeelerDetroit Red WingsD40419234220102377026395.71%6384321.09167401240000100000%000000.5500000211
8Esa LindellDetroit Red WingsD4031922-330036586228444.84%6699424.86257341280221107000%000000.4400000010
9Alexander RomanovDetroit Red WingsD40712190280834065193910.77%4699324.83628401290000106200%000000.3800000022
10Henri JokiharjuDetroit Red WingsD4051419016045153991912.82%4677119.28527251260000103200%000000.4900000011
11Alex IafalloDetroit Red WingsLW4061117110025399519606.32%1057814.4700006000050046.67%4500000.5900000301
12Jason DickinsonDetroit Red WingsC/RW4041115710034595514357.27%747511.8800012000001050.55%55000000.6300000010
13Nicolas RoyDetroit Red WingsC/RW406713-1220523149175612.24%554213.57000000001241140.38%5200000.4800000201
14Derek ForbortDetroit Red WingsD40268-24155116213109.52%3758614.6700000000042000%000000.2700010010
15Mattias SamuelssonDetroit Red WingsD401561160331523794.35%3662315.580002300000000%000000.1900000100
16Eric RobinsonDetroit Red WingsLW/RW40404-82010132881714.29%22937.3500000000001061.54%1300000.2700000000
17Juuso ParssinenDetroit Red WingsC/LW/RW40123-820822191145.26%02937.3300000000001048.18%30300000.2000000001
18Tye KartyeDetroit Red WingsC/LW/RW40303-8602915389197.89%22937.3300000000003040.91%2200000.2000000011
Statistiques d’équipe totales ou en moyenne720115208323-2283578078712243247999.40%3631178316.3726487429012833581292121650.03%338800010.5539010192217
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 Wings30161400.9012.89174501848510120.80053010301
2Joseph WollDetroit Red Wings116310.9162.1866002242870010.50041030113
Statistiques d’équipe totales ou en moyenne41221710.9052.69240503108113801394040414


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 WingsLW321993-12-21USANo201 Lbs6 ft0NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm3,666,666$2,062,500$3,666,666$2,062,500$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$1,687,500$3,000,000$1,687,500$No---------------------------
Alexander RomanovDetroit Red WingsD252000-01-06RUSNo220 Lbs6 ft1NoNoAssign ManuallyNoNo52025-07-02FalseFalsePro & Farm6,250,000$3,515,625$6,250,000$3,515,625$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$1,406,250$2,500,000$1,406,250$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$2,882,812$5,125,000$2,882,812$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$4,781,250$8,500,000$4,781,250$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$1,125,000$2,000,000$1,125,000$No---------------------------Lien NHL
Elias LindholmDetroit Red WingsC/LW/RW311994-12-02SWENo202 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,750,000$4,359,375$7,750,000$4,359,375$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$956,250$1,700,000$956,250$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$2,953,125$5,250,000$2,953,125$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$1,687,500$3,000,000$1,687,500$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$2,390,625$4,250,000$2,390,625$No---------------------------Lien NHL
Joseph WollDetroit Red WingsG271998-07-12USANo206 Lbs6 ft3NoNoAssign ManuallyNoYes32025-07-03FalseFalsePro & Farm3,666,667$2,062,500$3,666,667$2,062,500$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$703,125$1,250,000$703,125$No1,250,000$--------1,250,000$--------No--------Lien NHL
Mattias SamuelssonDetroit Red WingsD252000-03-14USANo227 Lbs6 ft4NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm4,285,714$2,410,714$4,285,714$2,410,714$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$1,518,750$2,700,000$1,518,750$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$1,687,500$3,000,000$1,687,500$No3,000,000$--------3,000,000$--------No--------Lien NHL
Nikita KucherovDetroit Red WingsRW321993-06-17RUSNo180 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm9,500,000$5,343,750$9,500,000$5,343,750$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$2,882,812$5,125,000$2,882,812$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$703,125$1,250,000$703,125$No1,250,000$--------1,250,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.25204 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-HopkinsNicolas Roy30122
3Brett HowdenJason DickinsonAlexander Kerfoot25122
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 : Joseph Woll, #2 : Connor Hellebuyck
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 Ducks22000000954110000006331100000032141.00091524002430702025250551814375120.00%7271.43%1680136050.00%665136348.79%35065153.76%523842132412
2Boston Bruins2020000037-41010000002-21010000035-200.0003471030005818221805219104810110.00%4175.00%0680136050.00%665136348.79%35065153.76%463248152411
3Buffalo Sabres211000007611010000035-21100000041320.500713200042107021232606217173610110.00%30100.00%1680136050.00%665136348.79%35065153.76%483544142613
4Calgary Flames11000000321000000000001100000032121.00036900111023851003938294125.00%4175.00%0680136050.00%665136348.79%35065153.76%2619216115
5Carolina Hurricanes1010000023-1000000000001010000023-100.0002460010103217690315623200.00%3233.33%0680136050.00%665136348.79%35065153.76%2316237135
6Chicago Blackhawks2110000067-1110000003211010000035-220.5006915101140601821210452020266233.33%9455.56%0680136050.00%665136348.79%35065153.76%503644132513
7Columbus Blue Jackets2110000056-11010000003-31100000053220.5005813002030561819190602212297114.29%60100.00%0680136050.00%665136348.79%35065153.76%473448142311
8Dallas Stars11000000514110000005140000000000021.0005914002300361910702978256233.33%40100.00%0680136050.00%665136348.79%35065153.76%2417227126
9Edmonton Oilers2010100049-51010000017-61000100032120.500471100210148231681652114346116.67%7271.43%0680136050.00%665136348.79%35065153.76%432951142512
10Florida Panthers11000000321110000003210000000000021.0003580011103111812027124224250.00%20100.00%0680136050.00%665136348.79%35065153.76%2720196136
11Los Angeles Kings1010000035-2000000000001010000035-200.00035800111022710502610414500.00%20100.00%0680136050.00%665136348.79%35065153.76%2014267125
12Montreal Canadiens11000000541110000005410000000000021.000591400140033161520301410206116.67%5180.00%1680136050.00%665136348.79%35065153.76%2516228126
13Nashville Predators11000000303110000003030000000000021.00036901210029912801742114125.00%10100.00%0680136050.00%665136348.79%35065153.76%2517217137
14New Jersey Devils10001000321000000000001000100032121.00035800011126132101297822200.00%40100.00%0680136050.00%665136348.79%35065153.76%2517227136
15New York Islanders321000001064220000006151010000045-140.66710192901532012255353209124226312216.67%100100.00%0680136050.00%665136348.79%35065153.76%765566223718
16New York Rangers201000106601010000023-11000001043120.5006915000412601722179502210398112.50%5260.00%0680136050.00%665136348.79%35065153.76%493449152613
17San Jose Sharks1010000002-2000000000001010000002-200.000000000000224810033161417300.00%7185.71%0680136050.00%665136348.79%35065153.76%2114267126
18Seattle Kraken21000001422110000003031000000112-130.75047110111216120132485017204210110.00%8187.50%0680136050.00%665136348.79%35065153.76%473251162512
19St. Louis Blues21100000770110000005321010000024-220.5007132010322047172190711418286116.67%9277.78%0680136050.00%665136348.79%35065153.76%473247152513
20Tampa Bay Lightning22000000844220000008440000000000041.0008162400242052132514042118437228.57%40100.00%0680136050.00%665136348.79%35065153.76%483243152814
21Toronto Maple Leafs30300000614-82020000049-51010000025-300.0006121800303010442313101074116719111.11%8362.50%0680136050.00%665136348.79%35065153.76%755569193418
22Utah Mammoth11000000312110000003120000000000021.000369001110392251202341020400.00%50100.00%0680136050.00%665136348.79%35065153.76%2718206126
23Vancouver Canucks1010000023-1000000000001010000023-100.000246000110361414802312423400.00%10100.00%0680136050.00%665136348.79%35065153.76%2417237126
24Vegas Golden Knights1010000014-3000000000001010000014-300.00012300001020677033614273133.33%7185.71%0680136050.00%665136348.79%35065153.76%1910268147
25Washington Capitals22000000844110000003121100000053241.00081523006020672918200511710315360.00%50100.00%0680136050.00%665136348.79%35065153.76%453047152612
Total401917020111161124211470000063511219510020115361-8450.56311620832433443633512244573933641911413632837801482617.57%1302382.31%3680136050.00%665136348.79%35065153.76%972681930295509256
_Since Last GM Reset401917020111161124211470000063511219510020115361-8450.56311620832433443633512244573933641911413632837801482617.57%1302382.31%3680136050.00%665136348.79%35065153.76%972681930295509256
_Vs Conference2210100101066642137600000343409340101032302240.5456611918511281917371127022621010632211133447821518.29%59984.75%2680136050.00%665136348.79%35065153.76%539381505161280140
_Vs Division1156000003237-5844000002326-331200000911-2100.4553259911014117034812112410303201146524046817.39%26580.77%2680136050.00%665136348.79%35065153.76%2711922488014071

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4045L21162083241224114136328378033
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4019172011116112
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2114700006351
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1951020115361
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1482617.57%1302382.31%3
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
457393364194436335
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
680136050.00%665136348.79%35065153.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
972681930295509256


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 Ducks3Detroit Red Wings6WSommaire du match
40287Buffalo Sabres5Detroit Red Wings3LSommaire du match
41299Detroit Red Wings4New York Rangers3WXXSommaire du match
43308Seattle Kraken0Detroit Red Wings3WSommaire du match
45321New York Islanders1Detroit Red Wings4WSommaire du match
47335Columbus Blue Jackets3Detroit Red Wings0LSommaire du match
49354Detroit Red Wings3New Jersey Devils2WXSommaire du match
51361Nashville Predators0Detroit Red Wings3WSommaire du match
53377Tampa Bay Lightning2Detroit Red Wings4WSommaire du match
54394Detroit Red Wings3Boston Bruins5LSommaire du match
57412Boston Bruins2Detroit Red Wings0LSommaire du match
59432Detroit Red Wings5Columbus Blue Jackets3WSommaire du match
61452Detroit Red Wings1Seattle Kraken2LXXSommaire du match
63464Detroit Red Wings2Vancouver Canucks3LSommaire du match
65477Detroit Red Wings3Calgary Flames2WSommaire du match
66491Detroit Red Wings3Edmonton Oilers2WXSommaire du match
68504Detroit Red Wings3Chicago Blackhawks5LSommaire du match
71522New York Islanders0Detroit Red Wings2WSommaire du match
72530Utah Mammoth1Detroit Red Wings3WSommaire du match
75550Detroit Red Wings5Washington Capitals3WSommaire du match
76562Washington Capitals1Detroit Red Wings3WSommaire du match
78579Dallas Stars1Detroit Red Wings5WSommaire du match
82593Detroit Red Wings2Carolina Hurricanes3LSommaire du match
83601Toronto Maple Leafs5Detroit Red Wings2LSommaire du match
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
Assistance121,475101,29739,80979,92640,333
Attendance PCT96.41%96.47%94.78%95.15%96.03%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 18230 - 95.95% 1,786,759$37,521,931$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
36,648,948$ 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$ 36,648,948$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
35,735,172$ 108 436,297$ 47,120,076$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
48,011,388$ 27,358,647$ 22,802,017$
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:31PO:0OV:80
Alex IafalloAGE:32PO: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:31PO: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:31PO: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:21PO: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

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2026
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Detroit Red Wings Historique de transactions

[2025-12-16 08:01:55] New Record for Team's Most Shots (45) in 1 Game for Detroit Red Wings!
[2025-12-10 08:03:34] New Record for Team's Most Hits (29) in 1 Game for Detroit Red Wings!
[2025-11-13 08:04:15] New Record for Team's Most Shots (44) in 1 Game for Detroit Red Wings!
[2025-11-13 08:04:15] New Record for Team's Most Points (16) in 1 Game for Detroit Red Wings!
[2025-11-13 08:04:15] New Record for Team's Most Assists (10) in 1 Game for Detroit Red Wings!
[2025-11-13 08:04:15] New Record for Team's Most Goals (6) in 1 Game for Detroit Red Wings!
[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