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Red Wings
GP: 14 | W: 8 | L: 6
GF: 64 | GA: 52 | PP%: 22.22% | PK%: 82.61%
DG: Joel Martens | Morale : 71 | Moyenne d’équipe : 67
Prochains matchs #88 vs Blue Jackets

Centre de jeu
Red Wings
8-6-0, 16pts
4
2 Devils
6-6-0, 12pts
Team Stats
L1SéquenceL1
3-3-0Fiche domicile4-2-0
5-3-0Fiche visiteur2-4-0
7-3-0Derniers 10 matchs5-4-1
4.57Buts par match 3.75
3.71Buts contre par match 3.58
22.22%Pourcentage en avantage numérique24.00%
82.61%Pourcentage en désavantage numérique81.40%
Red Wings
8-6-0, 16pts
3
7 Blue Jackets
9-3-0, 18pts
Team Stats
L1SéquenceW3
3-3-0Fiche domicile4-3-0
5-3-0Fiche visiteur5-0-0
7-3-0Derniers 10 matchs8-1-1
4.57Buts par match 3.92
3.71Buts contre par match 2.75
22.22%Pourcentage en avantage numérique17.65%
82.61%Pourcentage en désavantage numérique90.70%
Red Wings
8-6-0, 16pts
Jour 32
Blue Jackets
9-3-0, 18pts
Statistiques d’équipe
L1SéquenceW3
3-3-0Fiche domicile4-3-0
5-3-0Fiche visiteur5-0-0
7-3-010 derniers matchs8-1-1
4.57Buts par match 3.92
3.71Buts contre par match 3.92
22.22%Pourcentage en avantage numérique17.65%
82.61%Pourcentage en désavantage numérique90.70%
Blue Jackets
9-3-0, 18pts
Jour 34
Red Wings
8-6-0, 16pts
Statistiques d’équipe
W3SéquenceL1
4-3-0Fiche domicile3-3-0
5-0-0Fiche visiteur5-3-0
8-1-110 derniers matchs7-3-0
3.92Buts par match 4.57
2.75Buts contre par match 4.57
17.65%Pourcentage en avantage numérique22.22%
90.70%Pourcentage en désavantage numérique82.61%
Blue Jackets
9-3-0, 18pts
Jour 36
Red Wings
8-6-0, 16pts
Statistiques d’équipe
W3SéquenceL1
4-3-0Fiche domicile3-3-0
5-0-0Fiche visiteur5-3-0
8-1-110 derniers matchs7-3-0
3.92Buts par match 4.57
2.75Buts contre par match 4.57
17.65%Pourcentage en avantage numérique22.22%
90.70%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Clayton KellerButs
Clayton Keller
10
Clayton KellerPasses
Clayton Keller
17
Clayton KellerPoints
Clayton Keller
27
Alec MartinezPlus/Moins
Alec Martinez
11
John GibsonVictoires
John Gibson
7
John GibsonPourcentage d’arrêts
John Gibson
0.925

Statistiques d’équipe
Buts pour
64
4.57 GFG
Tirs pour
610
43.57 Avg
Pourcentage en avantage numérique
22.2%
8 GF
Début de zone offensive
35.8%
Buts contre
52
3.71 GAA
Tirs contre
616
44.00 Avg
Pourcentage en désavantage numérique
82.6%%
4 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralJoel Martens
EntraîneurAlex Westlund
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomJoe Louis Arena
Capacité18,000
Assistance17,271
Billets de saison10,800


Informations de la formation

Équipe Pro25
Équipe Mineure24
Limite contact 49 / 100
Espoirs68


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible74,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial25


Finance

Revenu annuel à ce jour10,431,639$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel148,419,445$
Compte bancaire projeté148,419,445$


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
1Clayton KellerXXX100.00574091886380989135969158417878778379N02723,830,000$
2Jake DeBruskXX100.0078449381727499853675906368778175857602914,099,000$
3Adam LowryX100.00858090788170906393727479258385718173N03323,727,000$
4Frederick GaudreauXXX100.0066429893677099688469757485737471827303312,580,000$
5Alex IafalloX100.00685294777365997341687679417879698672N03222,267,000$
6Christian DvorakX100.0063429579716999629569698070767669827103012,492,000$
7Isac LundestromXX100.0067429784706596688068638525717064857102632,230,000$
8Nino NiederreiterX100.00854692737968997240707365418993698371N03313,208,000$
9Emil Heineman (R)X100.009546908776597971296373677556556784690241925,000$
10Max PaciorettyXX100.0093478976776558665267666047889165816703712,925,000$
11Matthew PoitrasXXX100.006341937369648968568058622556556082660222870,000$
12William StromgrenX100.0077739372768085605061566354484760826302331,390,000$
13Ivan ProvorovX100.00615289767788997025685388258182638075N02913,315,000$
14Adam FoxX100.00654188716687938425816082537375678174N02812,786,000$
15Jared SpurgeonX100.00714294705680837725745481258891638373N03613,032,000$
16Alec MartinezX100.0063429568747662632552508025869259766903812,650,000$
17Michael Callahan (R)X100.0065828867756478652544498025494855836502631,407,000$
18Scott PerunovichX100.006141928264695666255349652561615681630271968,000$
Rayé
1Brett ChorskeXXX100.0088849981853733577147636960454563246002511,000,000$
2Alex SuzdalevX100.0073698180693331445038445942444450245102211,000,000$
3Braeden Kressler (R)X100.0067618160613735486047445742444450245002312,000,000$
4Charlie WrightX100.0075669661664039472539396037444450245302213,000,000$
Équipe Mineure
1Cam Lund (R)X100.0067428976755953675660716225474766606202212,000,000$
2Adam BeckmanXX100.0075728169746262674966666158474761856202521,241,000$
3Andrew AgozzinoX100.0067657368656970655062675962464661746103512,000,000$
4Braeden Bowman (R)X100.0083789368805655624960616755464661816102312,000,000$
5Xavier BourgaultX100.0072649469677377585052616055474757836002311,167,500$
6Nathan GaucherX100.0077826167846973556652556050474755825902231,107,000$
7Nate Danielson (R)X100.0074718669735656607560576253474758855902131,286,000$
8Nico Myatovic (R)X100.0078739067757379525047546051474756795802131,282,000$
9Lucas CionaX100.0076787067807683495048475846474753825702331,283,000$
10Jean-Luc FoudyX100.0070648866666164526655465745474753675602421,220,000$
11Filip EngarasX100.007674896374494947614645604446465256530271750,000$
12Brandon BaddockX100.0069824262825658465043445644464649595203112,000,000$
13Frederic Brunet (R)X100.0078748769767886522547436339474752776202231,331,000$
14Connor CarrickX100.0067696267697478612550575955464758726003211,000,000$
15Hunter DrewX100.006878386678697356254257575347465585590271899,000$
16Joseph CecconiX100.008080796480555749254142623847474985580291994,000$
17Jeremy Hanzel (R)X100.0075748682765356412528385737474647605702331,280,000$
18Jackson Edward (R)X100.0076738764755254462538395838474649465502231,278,000$
19Andy WelinskiX100.0077749260743634442535395937474647635203312,000,000$
20Alex Campbell (R)X100.0073639963643937506449476046454553195202511,000,000$
21Brady StonehouseX100.0074649981655154435038445942454551195202111,000,000$
22Andrew PerrottX100.006675456276393847253641553945454720510242950,000$
MOYENNE D’ÉQUIPE100.00736285727362696046565765455758596962
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
1John Gibson100.007759618182737277847775747672887503214,860,000$
2Jaxon Castor100.004440508045864448888145454559356002911,000,000$
Rayé
1Georgi Romanov (R)100.005351648755545057535230444453565602631,500,000$
Équipe Mineure
1Brandon Halverson100.006153669662666671706730474761846503011,000,000$
2Hunter Miska100.004548606542424750434630444447874803111,000,000$
MOYENNE D’ÉQUIPE100.0056506082576456616865425151587061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Westlund40404040404040TUR8111,000,000$


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
1Clayton KellerRed WingsC/LW/RW14101727160121274214313.51%1029220.9015611330110200026.09%23237001.8500000040
2Jake DeBruskRed WingsLW/RW14101323320161493224410.75%727119.40224833000001016.67%18105001.6900000023
3Isac LundestromRed WingsC/LW1481018200102453152315.09%1427419.63336432000011047.47%37587001.3100000201
4Alex IafalloRed WingsLW149615120232052142817.31%1127719.800112250111143044.44%1898011.0800000021
5Matthew PoitrasRed WingsC/LW/RW14112131201716238214.35%323917.0900000000040039.07%36662001.0900000001
6Jared SpurgeonRed WingsD140101042010201912110%2331122.2800000022123000%0012000.6400000001
7Emil HeinemanRed WingsLW1455103403573281815.63%823616.8800000000001135.71%1434000.8500000101
8Adam FoxRed WingsD14178-6601424391472.56%2734424.63123936000014100%0315000.4600000000
9Frederick GaudreauRed WingsC/LW/RW14268-20010113820265.26%315511.1100000000000042.86%7145001.0300000100
10Adam LowryRed WingsC14437-180211728111514.29%320314.550004251011190051.75%14323000.6900000001
11Christian DvorakRed WingsC145276006122271122.73%21238.85000011011101045.45%1132001.1300000110
12Nino NiederreiterRed WingsRW14437-22022123581911.43%119013.58101225000170050.00%1421000.7400000000
13Michael CallahanRed WingsD1415622082715696.67%1831122.2200012200000000%0112000.3900000000
14Max PaciorettyRed WingsLW/RW14055540155279140%31128.03000000000000100.00%412000.8900000000
15Ivan ProvorovRed WingsD14134-620720321353.13%1935225.19011136000122000%0310000.2300000000
16William StromgrenRed WingsLW143145006980337.50%71107.9000000000000034.78%4602000.7200000000
17Alec MartinezRed WingsD1403311203710230%1916711.930000000004000%005000.3600000000
18Scott PerunovichRed WingsD14011112061410260%1019914.26000022000013000%014000.1000000000
Statistiques d’équipe totales ou en moyenne252641121763846024127161019230610.49%188417516.57814224229524661578143.50%103989106010.8400000599
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
1John GibsonRed Wings127500.9253.3867500385102451100104311
2Jaxon CastorRed Wings41010.8764.731650013105500000410000
Statistiques d’équipe totales ou en moyenne168510.9173.6484000516152951101414311


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
Adam FoxRed WingsD281998-02-17USANo180 Lbs5 ft11YesNoN/ANoNo1FalseFalsePro & Farm2,786,000$729,667$2,786,000$729,667$No---------------------------Lien
Adam LowryRed WingsC331993-03-29USANo210 Lbs6 ft5YesNoN/ANoNo2FalseFalsePro & Farm3,727,000$976,119$3,727,000$976,119$No3,727,000$--------1,093,000$--------Yes--------Lien / Lien NHL
Alec MartinezRed WingsD381987-07-26USANo210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,650,000$694,048$2,650,000$694,048$No---------------------------Lien / Lien NHL
Alex IafalloRed WingsLW321993-12-21USANo201 Lbs6 ft0YesNoN/ANoNo2FalseFalsePro & Farm2,267,000$593,738$2,267,000$593,738$No2,267,000$--------1,631,000$--------Yes--------Lien / Lien NHL
Alex SuzdalevRed WingsLW222004-03-05SWENo181 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$261,905$1,000,000$261,905$No---------------------------Lien
Braeden KresslerRed WingsC232003-01-05ONYes174 Lbs5 ft9NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$523,810$2,000,000$523,810$No---------------------------Lien
Brett ChorskeRed WingsC/LW/RW252001-05-24USANo216 Lbs6 ft7NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$261,905$1,000,000$261,905$No---------------------------Lien
Charlie WrightRed WingsD222003-10-22ABNo179 Lbs6 ft1NoNoAssign ManuallyNoNo12026-03-06FalseFalsePro & Farm3,000,000$785,714$3,000,000$785,714$No---------------------------Lien
Christian DvorakRed WingsC301996-02-02USANo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,492,000$652,667$2,492,000$652,667$No---------------------------Lien / Lien NHL
Clayton KellerRed WingsC/LW/RW271998-07-29USANo175 Lbs5 ft10YesNoN/ANoNo2FalseFalsePro & Farm3,830,000$1,003,095$3,830,000$1,003,095$No3,830,000$--------773,256$--------Yes--------Lien / Lien NHL
Emil HeinemanRed WingsLW242001-11-16SWEYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$242,262$925,000$242,262$No---------------------------Lien
Frederick GaudreauRed WingsC/LW/RW331993-05-01CANNo184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,580,000$675,714$2,580,000$675,714$No---------------------------Lien / Lien NHL
Georgi RomanovRed WingsG261999-12-15RUSYes207 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-26FalseFalsePro & Farm1,500,000$392,857$1,500,000$392,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Isac LundestromRed WingsC/LW261999-11-06SWENo191 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm2,230,000$584,048$2,230,000$584,048$No2,230,000$2,230,000$-------2,230,000$2,230,000$-------NoNo-------Lien / Lien NHL
Ivan ProvorovRed WingsD291997-01-13RUSNo213 Lbs6 ft1YesNoN/ANoNo1FalseFalsePro & Farm3,315,000$868,214$3,315,000$868,214$No---------------------------Lien / Lien NHL
Jake DeBruskRed WingsLW/RW291996-10-17CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm4,099,000$1,073,548$4,099,000$1,073,548$No---------------------------Lien / Lien NHL
Jared SpurgeonRed WingsD361989-11-29CANNo166 Lbs5 ft9YesNoN/ANoNo1FalseFalsePro & Farm3,032,000$794,095$3,032,000$794,095$No---------------------------Lien / Lien NHL
Jaxon CastorRed WingsG291997-03-14USANo201 Lbs6 ft3NoNoAssign ManuallyNoNo12026-01-16FalseFalsePro & Farm1,000,000$261,905$1,000,000$261,905$No---------------------------Lien
John GibsonRed WingsG321993-07-14USANo214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm4,860,000$1,272,857$4,860,000$1,272,857$No---------------------------Lien / Lien NHL
Matthew PoitrasRed WingsC/LW/RW222004-03-10CANNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm870,000$227,857$870,000$227,857$No870,000$--------870,000$--------No--------Lien
Max PaciorettyRed WingsLW/RW371988-11-20USANo217 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,925,000$766,071$2,925,000$766,071$No---------------------------Lien / Lien NHL
Michael CallahanRed WingsD261999-09-23USAYes199 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,407,000$368,500$1,407,000$368,500$No1,407,000$1,407,000$-------1,407,000$1,407,000$-------NoNo-------Lien
Nino Niederreiter (contrat à 1 volet)Red WingsRW331992-09-08SUINo218 Lbs6 ft2YesNoN/ANoNo1FalseFalsePro & Farm3,208,000$840,190$3,208,000$840,190$No---------------------------Lien / Lien NHL
Scott PerunovichRed WingsD271998-08-18USANo175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm968,000$253,524$968,000$253,524$No---------------------------Lien
William StromgrenRed WingsLW232003-06-07SWENo190 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,390,000$364,048$1,390,000$364,048$No1,390,000$1,390,000$-------1,390,000$1,390,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.48195 Lbs6 ft11.482,362,440$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
59,061,000$17,221,000$6,527,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake DeBruskIsac LundestromEmil Heineman35023
2Alex IafalloMatthew PoitrasClayton Keller35023
3Frederick GaudreauAdam LowryNino Niederreiter20023
4Max PaciorettyWilliam StromgrenChristian Dvorak10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxIvan Provorov40023
2Michael CallahanJared Spurgeon40023
3Alec MartinezScott Perunovich20032
4Adam FoxIvan Provorov0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake DeBruskIsac LundestromClayton Keller60014
2Alex IafalloNino NiederreiterAdam Lowry40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxIvan Provorov60014
2Scott PerunovichMichael Callahan40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam LowryClayton Keller60041
2Alex IafalloNino Niederreiter40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovJared Spurgeon60032
2Scott PerunovichAdam Fox40032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Iafallo60041Michael CallahanIvan Provorov60041
2Adam Lowry40041Clayton KellerAdam Fox40041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam LowryAlex Iafallo60023
2Nino NiederreiterClayton Keller40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxScott Perunovich60023
2Ivan ProvorovMichael Callahan40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex IafalloIsac LundestromClayton KellerAdam FoxIvan Provorov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake DeBruskAdam LowryIsac LundestromMichael CallahanIvan Provorov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Clayton Keller, Adam Lowry, Nino NiederreiterNino Niederreiter, Clayton KellerClayton Keller
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ivan Provorov, Adam Fox, Jared SpurgeonIvan ProvorovIvan Provorov, Adam Fox
Tirs de pénalité
Nino Niederreiter, Alex Iafallo, Adam Lowry, Clayton Keller, Isac Lundestrom
Gardien
#1 : John Gibson, #2 : Jaxon Castor
Lignes d’attaque personnalisées en prolongation
Isac Lundestrom, Alex Iafallo, Clayton Keller, Max Pacioretty, Jake DeBrusk, Frederick Gaudreau, Nino Niederreiter, Adam Lowry, Christian Dvorak, Emil Heineman
Lignes de défense personnalisées en prolongation
Ivan Provorov, Adam Fox, Jared Spurgeon, Scott Perunovich, Michael Callahan


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
1Blue Jackets1010000037-4000000000001010000037-400.00035800120034914110357221300.00%10100.00%017137245.97%17440343.18%10726440.53%2111209179
2Devils6420000028208321000001511432100000139480.66728497710891102588288880292821610321523.81%8187.50%117137245.97%17440343.18%10726440.53%124721345010153
3Senators7430000033258312000001192431000002216680.5713358910010121103181111011042289992811712325.00%14378.57%117137245.97%17440343.18%10726440.53%148891536212159
Total14860000064521263300000262068530000038326160.5716411217610192322061020220320326161884624136822.22%23482.61%217137245.97%17440343.18%10726440.53%293173308122240122
_Since Last GM Reset14860000064521263300000262068530000038326160.5716411217610192322061020220320326161884624136822.22%23482.61%217137245.97%17440343.18%10726440.53%293173308122240122
_Vs Conference14860000064521263300000262068530000038326160.5716411217610192322061020220320326161884624136822.22%23482.61%217137245.97%17440343.18%10726440.53%293173308122240122
_Vs Division7430000033258312000001192431000002216680.5713358910010121103181111011042289992811712325.00%14378.57%117137245.97%17440343.18%10726440.53%148891536212159

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1416L1641121766106161884624110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
148600006452
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002620
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300003832
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
36822.22%23482.61%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
20220320321923220
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
17137245.97%17440343.18%10726440.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
293173308122240122


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
28Red Wings6Senators3WSommaire du match
416Red Wings5Senators6LSommaire du match
624Senators5Red Wings4LXSommaire du match
832Senators3Red Wings2LSommaire du match
1040Red Wings6Senators3WSommaire du match
1248Senators1Red Wings5WSommaire du match
1456Red Wings5Senators4WSommaire du match
1660Devils2Red Wings4WSommaire du match
1864Devils4Red Wings8WSommaire du match
2068Red Wings5Devils1WSommaire du match
2272Red Wings4Devils6LSommaire du match
2476Devils5Red Wings3LSommaire du match
2680Red Wings4Devils2WSommaire du match
3086Red Wings3Blue Jackets7LSommaire du match
3288Red Wings-Blue Jackets-
3490Blue Jackets-Red Wings-
3692Blue Jackets-Red Wings-
3894Red Wings-Blue Jackets-
4096Blue Jackets-Red Wings-
4298Red Wings-Blue Jackets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603520200
Assistance32,24130,00012,00024,0005,385
Attendance PCT89.56%100.00%100.00%100.00%89.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 17271 - 95.95% 1,738,607$10,431,639$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 59,061,000$ 59,061,000$ 1,000,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 11 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 148,419,445$ 148,419,445$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 74,500,000$ 74,500,000$ -58,500,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Clayton KellerAGE:27PO:77OV:79
Jake DeBruskAGE:29PO:75OV:76
Frederick GaudreauAGE:33PO:71OV:73
Alex IafalloAGE:32PO:69OV:72
Isac LundestromAGE:26PO:64OV:71
Emil Heineman (R)AGE:24PO:67OV:69
Max PaciorettyAGE:37PO:65OV:67
Matthew PoitrasAGE:22PO:60OV:66
William StromgrenAGE:23PO:60OV:63
Adam BeckmanAGE:25PO:61OV:62
Andrew AgozzinoAGE:35PO:61OV:61
Brett ChorskeAGE:25PO:63OV:60
Nico Myatovic (R)AGE:21PO:56OV:58
Lucas CionaAGE:23PO:53OV:57
Brandon BaddockAGE:31PO:49OV:52
Alex SuzdalevAGE:22PO:50OV:51
Clayton KellerAGE:27PO:77OV:79
Adam LowryAGE:33PO:71OV:73
Frederick GaudreauAGE:33PO:71OV:73
Christian DvorakAGE:30PO:69OV:71
Isac LundestromAGE:26PO:64OV:71
Matthew PoitrasAGE:22PO:60OV:66
Cam Lund (R)AGE:22PO:66OV:62
Brett ChorskeAGE:25PO:63OV:60
Nate Danielson (R)AGE:21PO:58OV:59
Nathan GaucherAGE:22PO:55OV:59
Jean-Luc FoudyAGE:24PO:53OV:56
Filip EngarasAGE:27PO:52OV:53
Alex Campbell (R)AGE:25PO:53OV:52
Braeden Kressler (R)AGE:23PO:50OV:50
Clayton KellerAGE:27PO:77OV:79
Jake DeBruskAGE:29PO:75OV:76
Frederick GaudreauAGE:33PO:71OV:73
Nino NiederreiterAGE:33PO:69OV:71
Max PaciorettyAGE:37PO:65OV:67
Matthew PoitrasAGE:22PO:60OV:66
Adam BeckmanAGE:25PO:61OV:62
Braeden Bowman (R)AGE:23PO:61OV:61
Brett ChorskeAGE:25PO:63OV:60
Xavier BourgaultAGE:23PO:57OV:60
Brady StonehouseAGE:21PO:51OV:52

Défense #1Défense #2Gardien
Ivan ProvorovAGE:29PO:63OV:75
Adam FoxAGE:28PO:67OV:74
Jared SpurgeonAGE:36PO:63OV:73
Alec MartinezAGE:38PO:59OV:69
Michael Callahan (R)AGE:26PO:55OV:65
Scott PerunovichAGE:27PO:56OV:63
Frederic Brunet (R)AGE:22PO:52OV:62
Connor CarrickAGE:32PO:58OV:60
Hunter DrewAGE:27PO:55OV:59
Joseph CecconiAGE:29PO:49OV:58
Jeremy Hanzel (R)AGE:23PO:47OV:57
Jackson Edward (R)AGE:22PO:49OV:55
Charlie WrightAGE:22PO:50OV:53
Andy WelinskiAGE:33PO:47OV:52
Andrew PerrottAGE:24PO:47OV:51
John GibsonAGE:32PO:72OV:75
Brandon HalversonAGE:30PO:61OV:65
Jaxon CastorAGE:29PO:59OV:60
Georgi Romanov (R)AGE:26PO:53OV:56
Hunter MiskaAGE:31PO:47OV:48

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
Adam AlmquistRed Wings00
Aleksi HeponiemiRed Wings201745Lien
Alexander DergachyovRed Wings201582
Anatoli GolyshevRed Wings201698
Andrei AltybarmakyanRed Wings201776
Andrei LoshkoRed Wings2023135
Artyom GoncharRed Wings2025107
Barrett HallRed Wings2022176
Benjamin BrinkmanRed Wings2019185
Brandon FortunatoRed Wings00Lien
Bryan LittleRed Wings00Lien
Cal FooteRed Wings00Lien
Callan FooteRed Wings00Lien
Carl-Johan LerbyRed Wings00Lien
Carson WetschRed Wings202483
Casey StaumRed Wings2016128
Chase CheslockRed Wings2023166
Clayton PhillipsRed Wings2017107
Cole HuckinsRed Wings202185
Colton RobertsRed Wings2024145
Denis GabdrakhmanovRed Wings2024207
Dmitri OvchinnikovRed Wings2020142Lien
Dustin GazleyRed Wings00
Egor AfanasyevRed Wings201933Lien
Elliot EkmarkRed Wings2020204
Emile GuiteRed Wings2025169
Frederik TiffelsRed Wings00
Gregor BiberRed Wings2024114
Iiro PakarinenRed Wings00
Ivan ProsvetovRed Wings2018118Lien
Jack MurtaghRed Wings202545
Jack SmithRed Wings2020102
Jacob PetersonRed Wings2017138Lien
Jake O'BrienRed Wings202514
Jake VirtanenRed Wings00Lien
Jakob StukelRed Wings00Lien
Jared WoolleyRed Wings2024176
Joe WhitneyRed Wings00
Joel DaccordRed Wings2015202
Joel GoalieRed Wings00
John AdamsRed Wings2017169
Juha JatkolaRed Wings2023104
Justin AbdelkaderRed Wings00Lien
Kevin KleinRed Wings00
Landon FerraroRed Wings00
Lucas WallmarkRed Wings00Lien
Marian GaborikRed Wings00
Matt FrattinRed Wings00
Matthew SpencerRed Wings00
Max PlanteRed Wings202452
Maxim AgafonovRed Wings2025138
Maxim NoreauRed Wings00
Melvin NovotnyRed Wings2025200
Michael KosterRed Wings2019154
Mikhail VorobyevRed Wings00Lien
Mitchell CallahanRed Wings00
Mitchell MillerRed Wings2020111
Nikita TryamkinRed Wings00
Niklas KronwallRed Wings00
Noah ReadRed Wings202576
Rieger LorenzRed Wings202252
Ryan GarbuttRed Wings00
Sacha BoisvertRed Wings202421
Tim WallaceRed Wings00
Tyson GallowayRed Wings2021147
Victor StjernborgRed Wings2021116
Wyatt KalynukRed Wings2017200Lien
Zakhar BardakovRed Wings2021209

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.


Red Wings Historique de transactions

[6/24/2026 5:33:56 PM] Griffins was eliminated at round 1 of year 2025.
[4/26/2026 9:29:35 PM] New Record for Team's Most Points (30) in 1 Game for Red Wings!
[4/26/2026 9:29:35 PM] New Record for Team's Most Assists (19) in 1 Game for Red Wings!
[4/26/2026 9:29:35 PM] New Record for Team's Most Goals (11) in 1 Game for Red Wings!
[3/30/2026 5:07:35 PM] New Record for Team's Most Shots (62) in 1 Game for Red Wings!
[3/6/2026 8:37:48 PM] Charlie Wright was added to Red Wings.
[1/16/2026 8:42:41 PM] Jaxon Castor was added to Red Wings.



Pas de blessure ou de suspension.


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

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

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

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

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