Connexion

Detroit Red Wings
GP: 52 | W: 25 | L: 20 | OTL: 7 | P: 74
GF: 135 | GA: 148 | PP%: 17.55% | PK%: 77.71%
DG: Eric G - NSHLPA | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #635 vs Colorado Avalanche

Centre de jeu
Seattle Kraken
27-19-6, 79pts
4
FINAL
3 Detroit Red Wings
25-20-7, 74pts
Team Stats
W2SéquenceW1
12-7-6Fiche domicile15-10-2
15-12-0Fiche visiteur10-10-5
5-4-1Derniers 10 matchs5-2-3
2.56Buts par match 2.60
2.44Buts contre par match 2.85
20.86%Pourcentage en avantage numérique17.55%
85.90%Pourcentage en désavantage numérique77.71%
Detroit Red Wings
25-20-7, 74pts
4
FINAL
3 Vegas Golden Knights
25-21-6, 76pts
Team Stats
W1SéquenceSOL1
15-10-2Fiche domicile11-10-4
10-10-5Fiche visiteur14-11-2
5-2-3Derniers 10 matchs5-4-1
2.60Buts par match 2.35
2.85Buts contre par match 2.60
17.55%Pourcentage en avantage numérique20.24%
77.71%Pourcentage en désavantage numérique80.63%
Detroit Red Wings
25-20-7, 74pts
Jour 125
Colorado Avalanche
30-17-5, 91pts
Statistiques d’équipe
W1SéquenceL1
15-10-2Fiche domicile13-10-2
10-10-5Fiche visiteur17-7-3
5-2-310 derniers matchs4-4-2
2.60Buts par match 2.96
2.85Buts contre par match 2.96
17.55%Pourcentage en avantage numérique20.10%
77.71%Pourcentage en désavantage numérique76.99%
Detroit Red Wings
25-20-7, 74pts
Jour 126
Quebec Nordiques
21-28-4, 58pts
Statistiques d’équipe
W1SéquenceW3
15-10-2Fiche domicile10-14-2
10-10-5Fiche visiteur11-14-2
5-2-310 derniers matchs7-2-1
2.60Buts par match 2.45
2.85Buts contre par match 2.45
17.55%Pourcentage en avantage numérique20.00%
77.71%Pourcentage en désavantage numérique82.45%
Columbus Blue Jackets
31-17-4, 88pts
Jour 129
Detroit Red Wings
25-20-7, 74pts
Statistiques d’équipe
L1SéquenceW1
18-6-3Fiche domicile15-10-2
13-11-1Fiche visiteur10-10-5
5-3-210 derniers matchs5-2-3
2.75Buts par match 2.60
2.40Buts contre par match 2.60
17.03%Pourcentage en avantage numérique17.55%
83.92%Pourcentage en désavantage numérique77.71%
Meneurs d'équipe
Sebastian AhoButs
Sebastian Aho
19
Brayden PointPasses
Brayden Point
34
Brayden PointPoints
Brayden Point
52
Brayden PointPlus/Moins
Brayden Point
9
Victoires
Pyotr Kochetkov
2
Pourcentage d’arrêts
Pyotr Kochetkov
0.893

Statistiques d’équipe
Buts pour
135
2.60 GFG
Tirs pour
1591
30.60 Avg
Pourcentage en avantage numérique
17.6%
33 GF
Début de zone offensive
39.3%
Buts contre
148
2.85 GAA
Tirs contre
1585
30.48 Avg
Pourcentage en désavantage numérique
77.7%%
39 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralEric G - NSHLPA
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomLittle Caesars Arena
Capacité18,000
Assistance14,369
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure36
Limite contact 58 / 250
Espoirs31


Finance

Revenu annuel à ce jour29,080,556$
Dépenses annuelles à ce jour38,881,945$
Revenus de la saison estimés12,924,692$
Dépenses de la saison estimées18,815,838$
Compte bancaire actuel54,660,861$
Compte bancaire projeté47,379,114$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
#
Nom du joueur
#
C
L
R
D
CON
CK
FG
DI
SK
ST
EN
DU
PH
FO
PA
SC
DF
PS
EX
LD
PO
MO
OV
TA
SP
Âge
Contrat
Salaire
1Brayden Point0X99.006550839955949890999090759077670408102817,500,000$
2Artemi Panarin0X100.006735879553959585668685758580750407903223,500,000$
3Dylan Larkin0X100.007450919075929882878784738375730407902725,944,444$
4Sebastian Aho0X100.007238879958939082668690678772750407902635,750,000$
5Drake Batherson0X100.00934878847789918868858467857273040780261900,000$
6Adrian Kempe0X100.00845076797592977970738870817572040760271900,000$
7Jack Roslovic0X100.006547868975898982838577668173750407602723,750,000$
8Joseph Blandisi0X100.008042848266837973687577727578680407302941,000,000$
9Matt Nieto0X100.005546868362838371657472717379680407103121,060,000$
10Nicolas Roy0X100.008150827387778066836767746775720407002721,000,000$
11Shane Gersich0X100.00584383906075776362696876717562040690271950,000$
12Blake Lizotte0X100.005738878850807764726567787172640406802621,000,000$
13Moritz Seider (R)0X100.009449909187979982509070807566860408202311,250,000$
14John Marino0X100.008145949576929380508572827875840408002723,870,000$
15Mikhail Sergachev0X100.008155827890929577508469827172770407802633,870,000$
16Morgan Rielly0X100.006052937891889277548774787179850407703032,000,000$
17Calvin de Haan0X100.008947817983839071507264766281860407603321,274,999$
18Sami Vatanen0X100.008240809167848574507667726881690407403321,274,999$
Rayé
1Travis Sanheim0X100.00594287897586867350787070717778040730281800,000$
2Artem Zub0X100.00904777748381837150756472637775040730281850,000$
Équipe Mineure
1Cory Conacher0X100.006640828551868672627579647482750407203421,693,999$
2Nikita Gusev0X100.005831799045818374637871667779580407103112,259,999$
3Alexander Radulov0X100.00574684727083797567777457728879040700371550,000$
4Stephane Da Costa0X100.006436818355767671747472627683760407003411,693,999$
5James van Riemsdyk0X100.007451736977858273677372616984780407003511,614,999$
6Dmitri Voronkov (R)0X100.00706070589581907080687369667073040690233600,000$
7Aliaksei Protas (R)0X100.00545082639582906669736372637080040690233600,000$
8Mason Appleton0X100.00594473757477776568686770677766040680283500,000$
9Anton Blidh0X100.00584281707874736061616475637873040660292500,000$
10Vladislav Kamenev0X100.00661876756871706074666372646661040650272700,000$
11Radim Zohorna0X100.006054716194707060706163736077810406502811,330,000$
12Brent Burns0X100.005450905999889676508169826399880407603923,600,000$
13Brenden Dillon0X100.009060786999899266507062776281780407503321,274,999$
14Jordan Harris (R)0X100.00664384876883927550766876696876040740232800,000$
15Xavier Ouellet0X100.007645727684848670507365746479690407303011,784,999$
16Jack Johnson0X100.006650755890768468507063805896850407203711,000,000$
17Zac Jones (R)0X100.00573579887371797450746574687062040710233700,000$
18Matty Beniers (R)0X75.507439899771919980848480728463770407802122,000,000$
19Alex Killorn0X100.006943837571858970687269666983670407003411,614,999$
20Stefan Noesen0X100.007750766577787968707167746682720406903121,000,000$
21Austin Wagner0X100.00924075817476766367646470687366040680274500,000$
22Michael Bunting0X100.00714078747180806372646871677765040680281500,000$
23Michal Repik0X100.007744737858767469697468586985670406803511,614,999$
24Brendan Gaunce0X100.00744875618970786078626471617974040660302700,000$
25Clark Bishop0X100.00744275687268686071646170637562040640281500,000$
26Tyler Graovac0X100.00572071649067676067616273616863040640312625,000$
27Carson Soucy0X100.007656836998778271507066766278760407302941,500,000$
28Brandon Davidson0X100.007948836987818266527064766380710407203211,784,999$
29Chris Tanev0X100.005242887986787964506860776483790407103411,274,999$
30Mattias Ekholm0X100.005447826397808170507364736083830407103421,274,999$
31Nils Lundkvist (R)0X100.00664580836679877350746767676873040700232800,000$
32Darren Raddysh0X100.005447867377637161505861745975780406702821,000,000$
MOYENNE D’ÉQUIPE99.5170458178768284716374707270777304072
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
#
Nom du gardien
#
CON
SK
DU
EN
SZ
AG
RB
SC
HS
RT
PH
PS
EX
LD
PO
MO
OV
TA
SP
Âge
Contrat
Salaire
1Logan Thompson0100.00778083848081828282818077650407802721,430,000$
2Pyotr Kochetkov0100.00777581848382838585827973620407802521,000,000$
Rayé
Équipe Mineure
1Cal Petersen099.00856768828078808080797878600407502941,000,000$
2Niklas Svedberg0100.00806972787980817979808065670407503411,209,999$
3Marcus Hogberg0100.00697070887677787878777778630407402941,000,000$
4Josef Korenar0100.0085597580737172747471725455040700264500,000$
MOYENNE D’ÉQUIPE99.837970758379787980807878716204075
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’équipe
POS
GP
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
1Brayden PointDetroit Red WingsC52183452959570118174678910.34%26110221.19312151414211261262052.79%13075027010.9449010541
2Artemi PanarinDetroit Red WingsRW52132740-62006256155731068.39%16106820.546612241660001251140.45%895117100.7558000032
3Sebastian AhoDetroit Red WingsRW52191635-1231576681615910011.80%2197718.8136922178000038043.64%555812000.72111001223
4Dylan LarkinDetroit Red WingsLW52181533-81408785130408513.85%24112021.547714221691012652148.90%6813120000.5914000222
5Jack RoslovicDetroit Red WingsC5212162871804680119397210.08%1689817.284610151330000261145.55%6411715000.6223000113
6Drake BathersonDetroit Red WingsLW5210152574751286413651877.35%1387616.8535814137000040346.51%433012000.5728100042
7Moritz SeiderDetroit Red WingsD5251621-252201441158551325.88%76134725.91336131840004122010%03144100.3100022213
8Adrian KempeDetroit Red WingsRW529817-54610120509619609.38%1880315.463149134000012142.86%352114000.4212110022
9Matt NietoDetroit Red WingsLW5211213-1160134410028671.00%1362912.11000030004500046.67%601712000.4100000000
10Morgan RiellyDetroit Red WingsD5201313-1463024755422160%56106220.430446140000027000%01928000.2400132100
11John MarinoDetroit Red WingsD523101391715721037031324.29%50124123.8711271200220141100%02240000.2100111110
12Mikhail SergachevDetroit Red WingsD523912-85115115816518234.62%52111121.380000480003111100%01449000.2211102201
13Shane GersichDetroit Red WingsLW514711231512306420336.25%133797.44000000000210066.67%3116000.5800001000
14Blake LizotteDetroit Red WingsRW51551044027337225296.94%1352810.360000300001560034.62%262011000.3800000010
15Joseph BlandisiDetroit Red WingsRW52729-1310075558520468.24%1559711.4900005000091143.55%1861810000.3000000102
16Calvin de HaanDetroit Red WingsD52156-6235595519885.26%2973014.04000010005111000%0426000.1600001010
17Nicolas RoyDetroit Red WingsC51415315563502482216.67%104849.500000000001211048.56%243210000.2100010001
18Sami VatanenDetroit Red WingsD3304401402819119120%2038011.530000600004000%0711000.2100000000
19Brent BurnsGrand Rapids Griffins (DET)D20000-72052012450%1831015.5200003000155000%01800000000000
20Travis SanheimDetroit Red WingsD1000000000000%011.130000000000000%00000000000000
21Artem ZubDetroit Red WingsD1000000020000%055.520000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne936132215347-385061201226120316325929248.09%4991565616.73335184146158023526118720948.92%3369424372210.4417465910172222
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Logan ThompsonDetroit Red Wings42020.8932.88250001211257000.750441000
2Pyotr KochetkovDetroit Red Wings112510.8933.265530130281126000.70010745100
Statistiques d’équipe totales ou en moyenne154530.8933.14803014239318300141146100


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’équipe
POS
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 restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire année 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Adrian KempeDetroit Red WingsRW271996-09-13SWENo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$288,398$0$0$No---------------------------Lien / Lien NHL
Artem ZubDetroit Red WingsD281995-10-03RUSNo203 Lbs6 ft2NoNoTrade2024-08-27NoNo1FalseFalsePro & Farm850,000$272,376$0$0$No---------------------------Lien / Lien NHL
Artemi Panarin (contrat à 1 volet)Detroit Red WingsRW321991-10-30RUSNo174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm3,500,000$1,121,547$0$0$No3,500,000$--------3,500,000$--------No--------Lien / Lien NHL
Blake LizotteDetroit Red WingsRW261997-12-13USANo170 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$320,442$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Brayden Point (contrat à 1 volet)Detroit Red WingsC281996-03-13CANNo183 Lbs5 ft10NoNoTrade2025-02-28NoNo1FalseFalsePro & Farm7,500,000$2,403,315$0$0$No---------------------------Lien / Lien NHL
Calvin de HaanDetroit Red WingsD331991-05-09CANNo194 Lbs6 ft1NoNoFree Agent2024-02-05NoNo22024-10-01FalseFalsePro & Farm1,274,999$408,563$0$0$No1,274,999$--------1,274,999$--------No--------Lien / Lien NHL
Drake BathersonDetroit Red WingsLW261998-04-27USANo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$288,398$0$0$No---------------------------Lien / Lien NHL
Dylan Larkin (contrat à 1 volet)Detroit Red WingsLW271996-07-30USANo198 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm5,944,444$1,904,849$0$0$No5,944,444$--------5,944,444$--------No--------Lien / Lien NHL
Jack Roslovic (contrat à 1 volet)Detroit Red WingsC271997-01-29USANo194 Lbs6 ft1NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm3,750,000$1,201,657$0$0$No3,750,000$--------3,750,000$--------No--------Lien / Lien NHL
John Marino (contrat à 1 volet)Detroit Red WingsD271997-05-21USANo181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm3,870,000$1,240,110$0$0$No3,870,000$--------3,870,000$--------No--------Lien / Lien NHL
Joseph BlandisiDetroit Red WingsRW291994-07-18CANNo184 Lbs6 ft0NoNoFree Agent2024-02-15NoNo42024-10-07FalseFalsePro & Farm1,000,000$320,442$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien NHL
Logan ThompsonDetroit Red WingsG271997-02-25CANNo205 Lbs6 ft3NoNoTrade2025-05-07NoNo2FalseFalsePro & Farm1,430,000$458,232$0$0$No1,430,000$--------1,430,000$--------No--------Lien / Lien NHL
Matt NietoDetroit Red WingsLW311992-11-05USANo201 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,060,000$339,669$0$0$No1,060,000$--------1,060,000$--------No--------Lien / Lien NHL
Mikhail Sergachev (contrat à 1 volet)Detroit Red WingsD261998-06-25RUSNo216 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm3,870,000$1,240,110$0$0$No3,870,000$3,870,000$-------3,870,000$3,870,000$-------NoNo-------Lien / Lien NHL
Morgan Rielly (contrat à 1 volet)Detroit Red WingsD301994-03-09CANNo225 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm2,000,000$640,884$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Moritz SeiderDetroit Red WingsD232001-04-06DEUYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$400,552$0$0$No---------------------------Lien / Lien NHL
Nicolas RoyDetroit Red WingsC271997-02-05CANNo201 Lbs6 ft4NoNoFree AgentNoNo22024-10-07FalseFalsePro & Farm1,000,000$320,442$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Pyotr KochetkovDetroit Red WingsG251999-06-25RUSNo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$320,442$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Sami VatanenDetroit Red WingsD331991-06-03FINNo185 Lbs5 ft10NoNoFree AgentNoNo22024-10-07FalseFalsePro & Farm1,274,999$408,563$0$0$No1,274,999$--------1,274,999$--------No--------
Sebastian Aho (contrat à 1 volet)Detroit Red WingsRW261997-07-26FINNo176 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm5,750,000$1,842,541$0$0$No5,750,000$5,750,000$-------5,750,000$5,750,000$-------NoNo-------Lien / Lien NHL
Shane GersichDetroit Red WingsLW271996-07-10USANo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$304,420$0$0$No---------------------------Lien NHL
Travis SanheimDetroit Red WingsD281996-03-29CANNo181 Lbs6 ft3NoNoTrade2024-12-20NoNo1FalseFalsePro & Farm800,000$256,354$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.86193 Lbs6 ft11.912,312,475$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
50,874,442$37,724,442$12,620,000$1,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan LarkinBrayden PointArtemi Panarin40023
2Drake BathersonJack RoslovicSebastian Aho30014
3Matt NietoJoseph BlandisiAdrian Kempe20023
4Shane GersichNicolas RoyBlake Lizotte10050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderJohn Marino40041
2Mikhail SergachevMorgan Rielly30041
3Calvin de HaanSami Vatanen20041
4Mikhail SergachevMorgan Rielly10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan LarkinBrayden PointArtemi Panarin55005
2Drake BathersonJack RoslovicAdrian Kempe45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderSebastian Aho55005
2Morgan RiellyJohn Marino45005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brayden PointBlake Lizotte55050
2Dylan LarkinNicolas Roy45050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderJohn Marino55050
2Mikhail SergachevCalvin de Haan45050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brayden Point50050Moritz SeiderJohn Marino50050
2Dylan Larkin50050Mikhail SergachevCalvin de Haan50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brayden PointArtemi Panarin50023
2Jack RoslovicDrake Batherson50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderJohn Marino50041
2Mikhail SergachevMorgan Rielly50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan LarkinBrayden PointSebastian AhoMoritz SeiderJohn Marino
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan LarkinBrayden PointArtemi PanarinMoritz SeiderMikhail Sergachev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adrian Kempe, Joseph Blandisi, Matt NietoJoseph Blandisi, Matt NietoMatt Nieto
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calvin de Haan, Sami Vatanen, Morgan RiellySami VatanenMorgan Rielly, Sami Vatanen
Tirs de pénalité
Brayden Point, Sebastian Aho, Drake Batherson, Artemi Panarin, Dylan Larkin
Gardien
#1 : Logan Thompson, #2 : Pyotr Kochetkov
Lignes d’attaque personnalisées en prolongation
Sebastian Aho, Brayden Point, Artemi Panarin, Dylan Larkin, Drake Batherson, Jack Roslovic, Adrian Kempe, Joseph Blandisi, Matt Nieto, Nicolas Roy
Lignes de défense personnalisées en prolongation
Moritz Seider, John Marino, Mikhail Sergachev, Morgan Rielly, Calvin de Haan


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
Total
Domicile
Visiteur
#
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
1Boston Bruins2110000069-3110000004221010000027-530.5006915001230681228280602426466233.33%8187.50%0563123045.77%595118150.38%37972252.49%442742173216
2California Golden Seals22000000743110000004311100000031261.00071320003220652220230491110519111.11%5180.00%0563123045.77%595118150.38%37972252.49%472737183517
3Carolina Hurricanes22000000422110000001011100000032161.0004711011030581416280451917499111.11%6183.33%0563123045.77%595118150.38%37972252.49%432642183316
4Chicago Blackhawks410010201037200000204222100100061590.75010142401520512439393519120422710110220.00%11190.91%0563123045.77%595118150.38%37972252.49%905493356833
5Colorado Avalanche1010000013-21010000013-20000000000000.00011210010021471003276233133.33%3166.67%0563123045.77%595118150.38%37972252.49%2112218167
6Columbus Blue Jackets201010003301010000012-11000100021120.33334700110166321517250152250500.00%60100.00%0563123045.77%595118150.38%37972252.49%472940173316
7Edmonton Oilers200000117701000000134-11000001043130.50071118001233681327261064252749600.00%6183.33%0563123045.77%595118150.38%37972252.49%452748183517
8Florida Panthers2110000067-1110000005321010000014-330.500611170011405414182206417185010220.00%9455.56%0563123045.77%595118150.38%37972252.49%422443183317
9Hamilton Mustangs413000001113-2211000006512020000058-330.25011182900614012850463201334526708337.50%13376.92%0563123045.77%595118150.38%37972252.49%845088346732
10Los Angeles Kings211000005501010000013-21100000042230.5005914000320672321230692010408112.50%5180.00%0563123045.77%595118150.38%37972252.49%432743173316
11Minnesota North Stars41200001612-6211000004312010000129-740.3336915012310135514735513034369020315.00%13284.62%0563123045.77%595118150.38%37972252.49%955677357136
12Montreal Canadiens21000001440110000002111000000123-140.66747110011206521251835714105110110.00%5260.00%0563123045.77%595118150.38%37972252.49%472741183519
13New Jersey Devils21100000711-4110000007341010000008-830.500781500331054221418068165263800.00%11281.82%2563123045.77%595118150.38%37972252.49%422243183417
14New York Islanders2010000137-41010000014-31000000123-110.167358001110651820263641714525120.00%7271.43%0563123045.77%595118150.38%37972252.49%432647183316
15New York Rangers2010001056-11010000013-21000001043120.333581300202363231722862121441300.00%7271.43%0563123045.77%595118150.38%37972252.49%472841183617
16Philadelphia Flyers21100000963110000006151010000035-230.50091524004320602118210611822428337.50%6183.33%0563123045.77%595118150.38%37972252.49%442743163216
17Pittsburgh Penguins2110000047-31010000016-51100000031230.500471100031054161820056204944500.00%7357.14%0563123045.77%595118150.38%37972252.49%432542183417
18Quebec Nordiques10000010211100000102110000000000020.66722400100133127124256630500.00%30100.00%0563123045.77%595118150.38%37972252.49%2615209179
19Seattle Kraken2000020046-21000010034-11000010012-120.333459000310531719161571612479111.11%60100.00%0563123045.77%595118150.38%37972252.49%462641183718
20St Louis Blues4220000014122220000008442020000068-260.500142236006170107423431014344508618738.89%15566.67%0563123045.77%595118150.38%37972252.49%874885326635
21Tampa Bay Lightning21000001770110000004311000000134-140.66771118003221672813211167272351400.00%9366.67%0563123045.77%595118150.38%37972252.49%472944173316
22Toronto Maple Leafs2020000058-31010000035-21010000023-100.00058130021205519201605815205211218.18%5180.00%0563123045.77%595118150.38%37972252.49%452740173417
23Vegas Golden Knights201000105501010000012-11000001043120.3335813001212612017235512418458225.00%9277.78%0563123045.77%595118150.38%37972252.49%462743183416
Total52172002265135148-13271210001317367625510021346281-19740.4741352123471345384416159153350652371158548851512231883317.55%1753977.71%2563123045.77%595118150.38%37972252.49%11766941114463891448
_Since Last GM Reset52172002265135148-13271210001317367625510021346281-19740.4741352123471345384416159153350652371158548851512231883317.55%1753977.71%2563123045.77%595118150.38%37972252.49%11766941114463891448
_Vs Conference298110224273730155600121363511435021213738-1400.460731141871225212111895313292271428982832446521042120.19%921781.52%0563123045.77%595118150.38%37972252.49%656388622257500250
_Vs Division185802021444319430002023167915020012127-6240.44444671110220812656021418115026576180161397611524.59%581181.03%0563123045.77%595118150.38%37972252.49%404239385157307155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5274W113521234715911585488515122313
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5217202265135148
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27121001317367
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2551021346281
Derniers 10 matchs
WLOTWOTL SOWSOL
520201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1883317.55%1753977.71%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
5335065237145384416
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
563123045.77%595118150.38%37972252.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11766941114463891448


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
15Quebec Nordiques1Detroit Red Wings2WXXSommaire du match
316Detroit Red Wings2Montreal Canadiens3LXXSommaire du match
636Carolina Hurricanes0Detroit Red Wings1WSommaire du match
738Detroit Red Wings3Tampa Bay Lightning4LXXSommaire du match
1158Vegas Golden Knights2Detroit Red Wings1LSommaire du match
1368Detroit Red Wings4Los Angeles Kings2WSommaire du match
1679Detroit Red Wings3California Golden Seals1WSommaire du match
1893Colorado Avalanche3Detroit Red Wings1LSommaire du match
1998Detroit Red Wings2St Louis Blues3LSommaire du match
21112Detroit Red Wings1Minnesota North Stars7LSommaire du match
23123Chicago Blackhawks1Detroit Red Wings2WXXSommaire du match
25138Columbus Blue Jackets2Detroit Red Wings1LSommaire du match
27149Detroit Red Wings3Hamilton Mustangs4LSommaire du match
29160Minnesota North Stars3Detroit Red Wings2LSommaire du match
31173Hamilton Mustangs2Detroit Red Wings5WSommaire du match
33186Detroit Red Wings5Chicago Blackhawks1WSommaire du match
35198Los Angeles Kings3Detroit Red Wings1LSommaire du match
37206Detroit Red Wings4Edmonton Oilers3WXXSommaire du match
39220Pittsburgh Penguins6Detroit Red Wings1LSommaire du match
41230Detroit Red Wings0New Jersey Devils8LSommaire du match
44242New York Islanders4Detroit Red Wings1LSommaire du match
49261Detroit Red Wings3Philadelphia Flyers5LSommaire du match
52276Boston Bruins2Detroit Red Wings4WSommaire du match
54283Detroit Red Wings3Pittsburgh Penguins1WSommaire du match
58297Detroit Red Wings2Columbus Blue Jackets1WXSommaire du match
59302St Louis Blues1Detroit Red Wings3WSommaire du match
62319Detroit Red Wings1Minnesota North Stars2LXXSommaire du match
64330Detroit Red Wings1Chicago Blackhawks0WXSommaire du match
66338Hamilton Mustangs3Detroit Red Wings1LSommaire du match
68349Minnesota North Stars0Detroit Red Wings2WSommaire du match
71368Detroit Red Wings2Hamilton Mustangs4LSommaire du match
72378Chicago Blackhawks1Detroit Red Wings2WXXSommaire du match
74386Detroit Red Wings4New York Rangers3WXXSommaire du match
76400Florida Panthers3Detroit Red Wings5WSommaire du match
78410Detroit Red Wings2New York Islanders3LXXSommaire du match
81423New York Rangers3Detroit Red Wings1LSommaire du match
83436Tampa Bay Lightning3Detroit Red Wings4WSommaire du match
85446Detroit Red Wings2Toronto Maple Leafs3LSommaire du match
88464Toronto Maple Leafs5Detroit Red Wings3LSommaire du match
91479Detroit Red Wings4St Louis Blues5LSommaire du match
94491St Louis Blues3Detroit Red Wings5WSommaire du match
97502New Jersey Devils3Detroit Red Wings7WSommaire du match
99513Detroit Red Wings3Carolina Hurricanes2WSommaire du match
101528Detroit Red Wings1Florida Panthers4LSommaire du match
103531Montreal Canadiens1Detroit Red Wings2WSommaire du match
105544Detroit Red Wings2Boston Bruins7LSommaire du match
107556Philadelphia Flyers1Detroit Red Wings6WSommaire du match
112571Edmonton Oilers4Detroit Red Wings3LXXSommaire du match
114583Detroit Red Wings1Seattle Kraken2LXSommaire du match
117599California Golden Seals3Detroit Red Wings4WSommaire du match
119607Seattle Kraken4Detroit Red Wings3LXSommaire du match
121621Detroit Red Wings4Vegas Golden Knights3WXXSommaire du match
125635Detroit Red Wings-Colorado Avalanche-
126638Detroit Red Wings-Quebec Nordiques-
129657Columbus Blue Jackets-Detroit Red Wings-
131669Detroit Red Wings-Columbus Blue Jackets-
133680Hamilton Mustangs-Detroit Red Wings-
135692Detroit Red Wings-Hamilton Mustangs-
138704Detroit Red Wings-Los Angeles Kings-
140716Seattle Kraken-Detroit Red Wings-
143731Detroit Red Wings-Edmonton Oilers-
145743Vegas Golden Knights-Detroit Red Wings-
147752Detroit Red Wings-California Golden Seals-
149764Colorado Avalanche-Detroit Red Wings-
151773Detroit Red Wings-Colorado Avalanche-
153785California Golden Seals-Detroit Red Wings-
155794Detroit Red Wings-Vegas Golden Knights-
157806Edmonton Oilers-Detroit Red Wings-
160821Detroit Red Wings-Seattle Kraken-
162833Los Angeles Kings-Detroit Red Wings-
167853Minnesota North Stars-Detroit Red Wings-
168859Detroit Red Wings-Minnesota North Stars-
171879Detroit Red Wings-Chicago Blackhawks-
172885Chicago Blackhawks-Detroit Red Wings-
176905Detroit Red Wings-St Louis Blues-
177908St Louis Blues-Detroit Red Wings-
179918Columbus Blue Jackets-Detroit Red Wings-
180930Detroit Red Wings-Columbus Blue Jackets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets93523225188
Assistance130,567104,94242,10282,79527,563
Attendance PCT81.41%79.97%78.75%77.44%81.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 14369 - 79.83% 1,077,058$29,080,556$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
38,881,945$ 58,718,441$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 38,881,945$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
12,924,692$ 58 324,411$ 18,815,838$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
20,987,126$ 54,660,861$ 47,379,114$



Charte de profondeur

Ailier gaucheCentreAilier droit
Dylan LarkinAGE:27PO:0OV:79
Drake BathersonAGE:26PO:0OV:78
Matt NietoAGE:31PO:0OV:71
Nikita GusevAGE:31PO:0OV:71
Alex KillornAGE:34PO:0OV:70
Alexander RadulovAGE:37PO:0OV:70
Shane GersichAGE:27PO:0OV:69
Aliaksei Protas (R)AGE:23PO:0OV:69
Mason AppletonAGE:28PO:0OV:68
Radim ZohornaAGE:28PO:0OV:65
Clark BishopAGE:28PO:0OV:64
Brayden PointAGE:28PO:0OV:81
Matty Beniers (R)AGE:21PO:0OV:78
Jack RoslovicAGE:27PO:0OV:76
Stephane Da CostaAGE:34PO:0OV:70
Nicolas RoyAGE:27PO:0OV:70
Dmitri Voronkov (R)AGE:23PO:0OV:69
Michael BuntingAGE:28PO:0OV:68
Brendan GaunceAGE:30PO:0OV:66
Vladislav KamenevAGE:27PO:0OV:65
Artemi PanarinAGE:32PO:0OV:79
Sebastian AhoAGE:26PO:0OV:79
Adrian KempeAGE:27PO:0OV:76
Joseph BlandisiAGE:29PO:0OV:73
Cory ConacherAGE:34PO:0OV:72
James van RiemsdykAGE:35PO:0OV:70
Stefan NoesenAGE:31PO:0OV:69
Austin WagnerAGE:27PO:0OV:68
Blake LizotteAGE:26PO:0OV:68
Michal RepikAGE:35PO:0OV:68
Anton BlidhAGE:29PO:0OV:66
Tyler GraovacAGE:31PO:0OV:64

Défense #1Défense #2Gardien
Moritz Seider (R)AGE:23PO:0OV:82
John MarinoAGE:27PO:0OV:80
Mikhail SergachevAGE:26PO:0OV:78
Morgan RiellyAGE:30PO:0OV:77
Brent BurnsAGE:39PO:0OV:76
Calvin de HaanAGE:33PO:0OV:76
Brenden DillonAGE:33PO:0OV:75
Sami VatanenAGE:33PO:0OV:74
Jordan Harris (R)AGE:23PO:0OV:74
Carson SoucyAGE:29PO:0OV:73
Travis SanheimAGE:28PO:0OV:73
Xavier OuelletAGE:30PO:0OV:73
Artem ZubAGE:28PO:0OV:73
Brandon DavidsonAGE:32PO:0OV:72
Jack JohnsonAGE:37PO:0OV:72
Chris TanevAGE:34PO:0OV:71
Mattias EkholmAGE:34PO:0OV:71
Zac Jones (R)AGE:23PO:0OV:71
Nils Lundkvist (R)AGE:23PO:0OV:70
Darren RaddyshAGE:28PO:0OV:67
Logan ThompsonAGE:27PO:0OV:78
Pyotr KochetkovAGE:25PO:0OV:78
Cal PetersenAGE:29PO:0OV:75
Niklas SvedbergAGE:34PO:0OV:75
Marcus HogbergAGE:29PO:0OV:74
Josef KorenarAGE:26PO:0OV: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
Espoir
Nom de l’équipe
Année de repêchage
Choix total
Information
Date de la Dernière Transaction
Lien
0x LTCsDetroit Red Wings00
0x RFA Tag (Dylan Larkin Y26)Detroit Red Wings00
15x TC PTSDetroit Red Wings00
18x POS Changes NSHL24Detroit Red Wings00
Albin ErikssonDetroit Red Wings1873
Alex LaferriereDetroit Red Wings20128
Anton SilayevDetroit Red Wings2411Lien
Brennan OthmannDetroit Red Wings2121Lien
Cole BeaudoinDetroit Red Wings2432Lien
Cutter GauthierDetroit Red Wings223Lien
Daniel TorgerssonDetroit Red Wings2067
Daniil ChaykaDetroit Red Wings2142Lien
Dominik BadinkaDetroit Red Wings2436Lien
Emil HemmingDetroit Red Wings2431Lien
Ethan PhillipsDetroit Red Wings1995
Evan NauseDetroit Red Wings21104Lien
Filip BystedtDetroit Red Wings2233Lien
Jeremy PoirierDetroit Red Wings2061
Jesse PulkkinenDetroit Red Wings2464Lien
Jett LuchankoDetroit Red Wings2421Lien
Jonathan BerggrenDetroit Red Wings1843
Justin SourdifDetroit Red Wings2099
Leon MuggliDetroit Red Wings2482Lien
Nikita ArtamonovDetroit Red Wings2445Lien
Oskar PetterssonDetroit Red Wings2271Lien
Samu SalminenDetroit Red Wings2167Lien
Samu TuomaalaDetroit Red Wings2144Lien
Simon EdvinssonDetroit Red Wings2110Lien
Ville HeinolaDetroit Red Wings1936
William EklundDetroit Red Wings213Lien
Zeev BuiumDetroit Red Wings2413Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
25
26
27
28
29
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

[2025-05-07 11:44:40 AM] TRADE : From New York Rangers to Detroit Red Wings : Logan Thompson (78).
[2025-05-07 11:44:40 AM] TRADE : From Detroit Red Wings to New York Rangers : Y:25-RND:2-CAL, Y:25-RND:4-MTL.
[2025-05-06 9:08:02 AM] Carter Hart was released.
[2025-05-06 9:08:02 AM] Detroit Red Wings paid $3,604,972 to release Carter Hart.
[2025-04-30 10:50:50 AM] TRADE : From Detroit Red Wings to Montreal Canadiens : $62,045 (Money).
[2025-04-17 12:27:00 PM] TRADE : From Detroit Red Wings to Toronto Maple Leafs : $1,087,500 (Money).
[2025-04-10 4:33:15 PM] TRADE : From Detroit Red Wings to New York Rangers : $66,760 (Money).
[2025-04-10 4:31:32 PM] TRADE : From Detroit Red Wings to New York Rangers : $1,157,655 (Money).
[2025-03-22 11:29:41 AM] TRADE : From New York Rangers to Detroit Red Wings : $1,044,453 (Money).
[2025-03-02 11:34:33 AM] TRADE : From Detroit Red Wings to Boston Bruins : $69,700 (Money).
[2025-02-28 2:15:41 PM] TRADE : From Detroit Red Wings to California Golden Seals : Jordan Greenway (72), Y:25-RND:1-BOS, Y:25-RND:2-BOS, Y:26-RND:1-BOS, Y:26-RND:2-MTL, Y:27-RND:1-NYR.
[2025-02-28 2:15:41 PM] TRADE : From California Golden Seals to Detroit Red Wings : Brayden Point (81).
[2025-02-27 2:52:03 PM] TRADE : From Philadelphia Flyers to Detroit Red Wings : $60,485 (Money).
[2025-02-20 3:44:57 PM] TRADE : From Detroit Red Wings to New York Islanders : $985,536 (Money).
[2025-02-20 3:44:43 PM] TRADE : From Detroit Red Wings to New York Islanders : $61,005 (Money).
[2025-02-16 11:58:27 AM] TRADE : From Detroit Red Wings to Pittsburgh Penguins : $985,301 (Money).
[2025-02-16 11:58:17 AM] TRADE : From Detroit Red Wings to Pittsburgh Penguins : $68,235 (Money).
[2025-02-16 11:26:11 AM] New Record for Team's Most Penalties Minutes (47) in 1 Game for Detroit Red Wings!



Matty Beniers est dehors pour 3 semaines à cause de Abdominal Strain 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