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Red Wings
GP: 85 | W: 40 | L: 30 | OTL: 15 | P: 95
GF: 377 | GA: 381 | PP%: 15.35% | PK%: 84.85%
DG: Joel Martens | Morale : 35 | Moyenne d’équipe : 67
Prochains matchs #1318 vs Lightning

Centre de jeu
Blue Jackets
55-17-11, 121pts
4
7 Red Wings
40-30-15, 95pts
Team Stats
W2SéquenceL1
29-7-7Fiche domicile21-18-3
26-10-4Fiche visiteur19-12-12
8-1-1Derniers 10 matchs4-2-4
4.18Buts par match 4.44
3.06Buts contre par match 4.48
18.88%Pourcentage en avantage numérique15.35%
86.61%Pourcentage en désavantage numérique84.85%
Red Wings
40-30-15, 95pts
3
5 Canadiens
39-37-9, 87pts
Team Stats
L1SéquenceW1
21-18-3Fiche domicile21-19-3
19-12-12Fiche visiteur18-18-6
4-2-4Derniers 10 matchs5-5-0
4.44Buts par match 3.81
4.48Buts contre par match 4.04
15.35%Pourcentage en avantage numérique13.15%
84.85%Pourcentage en désavantage numérique81.23%
Lightning
31-49-4, 66pts
Jour 116
Red Wings
40-30-15, 95pts
Statistiques d’équipe
L2SéquenceL1
19-23-1Fiche domicile21-18-3
12-26-3Fiche visiteur19-12-12
3-7-010 derniers matchs4-2-4
3.88Buts par match 4.44
4.63Buts contre par match 4.44
20.00%Pourcentage en avantage numérique15.35%
81.99%Pourcentage en désavantage numérique84.85%
Meneurs d'équipe
Jake DeBruskButs
Jake DeBrusk
58
Clayton KellerPasses
Clayton Keller
77
Clayton KellerPoints
Clayton Keller
131
Plus/Moins
Emil Heineman
20
John GibsonVictoires
John Gibson
32
John GibsonPourcentage d’arrêts
John Gibson
0.899

Statistiques d’équipe
Buts pour
377
4.44 GFG
Tirs pour
3646
42.89 Avg
Pourcentage en avantage numérique
15.4%
37 GF
Début de zone offensive
38.2%
Buts contre
381
4.48 GAA
Tirs contre
3412
40.14 Avg
Pourcentage en désavantage numérique
84.8%%
15 GA
Début de la zone défensive
35.9%
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
Assistance15,660
Billets de saison10,800


Informations de la formation

Équipe Pro25
Équipe Mineure24
Limite contact 49 / 100
Espoirs68


Plafond salarial

Cap Salarial de la Saison estimé59,066,594$
Plafond salarial disponible15,433,406$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial25


Finance

Revenu annuel à ce jour63,438,630$
Dépenses annuelles à ce jour57,063,524$
Revenus de la saison estimés1,510,444$
Dépenses de la saison estimées3,003,048$
Compte bancaire actuel139,268,317$
Compte bancaire projeté137,775,713$


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 KellerXXX100.00574091886380989035959058417778787978N02723,830,000$
2Jake DeBruskXX100.0078449381727499843674906368768176807502914,099,000$
3Adam LowryX100.00858089798270906393727479258285726373N03323,727,000$
4Frederick GaudreauXXX100.0066429893677099688469757585727472657303312,580,000$
5Alex IafalloX100.00685294777365997241677579417779707472N03222,267,000$
6Christian DvorakX100.0064429579716999629570688070757670627103012,492,000$
7Isac LundestromXX100.0067429684706596678068628525707065807102632,230,000$
8Nino NiederreiterX100.00854691737968997240707365418893706671N03313,208,000$
9Emil Heineman (R)X100.009546908776597971296272677555556872680241925,000$
10Max PaciorettyXX100.0093478876776558665267666047879166636703712,925,000$
11Matthew PoitrasXXX100.006341927369648968567958622555556173650222870,000$
12William StromgrenX100.0077739371758085605061566354474761576302331,390,000$
13Ivan ProvorovX100.00615289767788996925685388258082646375N02913,315,000$
14Adam FoxX100.00654188716687938425816082537275686474N02812,786,000$
15Jared SpurgeonX100.00714293715780837725735580258791647172N03613,032,000$
16Alec MartinezX100.0063429569757662632552507925859260496803812,650,000$
17Michael Callahan (R)X100.0065828767756478642543488025484856706502631,407,000$
18Scott PerunovichX100.006241918264695666255349652560615754630271968,000$
Rayé
1Brett ChorskeXXX100.0088849981853733577147636960454563206002511,000,000$
2Alex SuzdalevX100.0073698180693331445038445942444450205102211,000,000$
3Braeden Kressler (R)X100.0067618160613735486047445742444450205002312,000,000$
4Charlie WrightX100.0075669661664039472539396037444450205302213,000,000$
Équipe Mineure
1Cam Lund (R)X100.0067428976755953675660716225474766486202212,000,000$
2Adam BeckmanXX100.0075728169746262664966666158474761766202521,241,000$
3Andrew AgozzinoX100.0067657268656970655062676062464662616103512,000,000$
4Braeden Bowman (R)X100.0083789368805655625060616755464661706102212,000,000$
5Xavier BourgaultX100.0072649469677377585052616055474758706002311,167,500$
6Nathan GaucherX100.0077826167846973556652556050474655695902231,107,000$
7Nate Danielson (R)X100.0074718669735656607560576253474658725902131,286,000$
8Nico Myatovic (R)X100.0078739167757379525047546051474656665802131,282,000$
9Lucas CionaX100.0076787067807683505048475846474653705702331,283,000$
10Jean-Luc FoudyX100.0070648866666164526655465745474753545602421,220,000$
11Filip EngarasX100.007774896374494947614645604446465244530271750,000$
12Brandon BaddockX100.0069824262825658465043455644464649475203112,000,000$
13Frederic Brunet (R)X100.0078748669767886522547436339474652646202231,331,000$
14Connor CarrickX100.0067696267697478612550575955464759606003211,000,000$
15Hunter DrewX100.006778386678697356254257575346465581590271899,000$
16Joseph CecconiX100.008080796480555749254141623847474977580291994,000$
17Jeremy Hanzel (R)X100.0075748682765356412528385837474647485602331,280,000$
18Jackson Edward (R)X100.0076738764755254462538395838464649345502231,278,000$
19Andy WelinskiX100.0078749260743634442535396037464647515203312,000,000$
20Alex Campbell (R)X100.0073639963643937506449476046454553195202511,000,000$
21Brady StonehouseX100.0074649981655154435038445942454551195202111,000,000$
22Andrew PerrottX100.006675456276393847253641553945454720510242950,000$
MOYENNE D’ÉQUIPE100.00736285727362696046565665455757595762
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 Gibson100.007759618182737277837775747673777403214,860,000$
2Jaxon Castor98.004440508045874448898145454559206002911,000,000$
Rayé
1Georgi Romanov (R)100.005351648755545057535230444453485602631,500,000$
Équipe Mineure
1Brandon Halverson100.006153669662666771716730474661816603011,000,000$
2Hunter Miska100.004548606542424750434630444447784803011,000,000$
MOYENNE D’ÉQUIPE99.6056506082576456616865425151596161
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/RW855477131-1340838444815224412.05%48176220.7441418482330002967430.77%1309933011.49110001145
2Isac LundestromRed WingsC/LW8541731145809214731710419212.93%54167219.682111320230000056353.27%22154931411.3600000455
3Jake DeBruskRed WingsLW/RW855853111819514410247713928912.16%48165219.441111239231000015336.89%1229133121.3400010883
4Alex IafalloRed WingsLW85403878-320201331062799119014.34%63166819.63538221800000614043.69%1033527000.9414121135
5Matthew PoitrasRed WingsC/LW/RW8522537561401051292056111110.73%50143616.91000080000141144.96%19353030001.0400000043
6Adam FoxRed WingsD85105060-27341010213620688904.85%171211124.854101426256000167210%05764000.5700020212
7Adam LowryRed WingsC85193251-1914101781071805510110.56%31126814.93099121810007932260.56%7482420000.8004011140
8Jared SpurgeonRed WingsD8584351511510012016268634.94%158184221.6700001000298200%03258000.5500010212
9Frederick GaudreauRed WingsC/LW/RW85272451-190040692307415111.74%2595311.2100000000001244.44%275414111.0700000021
10Emil HeinemanRed WingsLW8526255120200216641978112513.20%37139016.3600000000001038.71%933915000.7300000036
11Nino NiederreiterRed WingsRW85222648-18120152721936111311.40%27118913.997512191830000283141.41%993417010.8104000200
12Ivan ProvorovRed WingsD8563440-232407116017357663.47%170214525.24371013255000190000%03164000.3700000014
13Max PaciorettyRed WingsLW/RW85161935-1312012043185691138.65%187408.7100003000002050.00%26318000.9500000200
14Michael CallahanRed WingsD8523032-163158610810340551.94%156189922.35022315900002100%01260000.3400102100
15Christian DvorakRed WingsC85151025-7204541123397012.20%287719.08000060002401164.00%251415000.6500000100
16Scott PerunovichRed WingsD8551015410035656011278.33%59122314.401012160000061100%0825000.2500000011
17William StromgrenRed WingsLW8541014-92074454111359.76%197168.4300000000000037.15%28868000.3900000000
18Alec MartinezRed WingsD761111202030695924191.69%4592212.1400027000020000%0333000.2600000000
19Frederic BrunetGriffins (DET)D90222005108060%610111.320000000000000%003000.3900000000
Statistiques d’équipe totales ou en moyenne1530376620996-102271651811167736461225206010.31%12132547016.65376299206209800015682391849.18%5811649558660.78213274353737
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 Wings57321370.8994.0531970021621351086440.8577559223
2Jaxon CastorRed Wings3371460.8764.921623201331075503120.33333014200
3Hunter MiskaGriffins (DET)11000.8825.33450043428100009000
4Georgi RomanovRed Wings70320.8834.19272001916296000.6673053000
Statistiques d’équipe totales ou en moyenne984030150.8914.345139203723406171366138585423


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/ANoYes1FalseFalsePro & Farm2,786,000$139,300$2,786,000$139,300$No---------------------------Lien
Adam LowryRed WingsC331993-03-29USANo210 Lbs6 ft5YesNoN/ANoYes2FalseFalsePro & Farm3,727,000$186,350$3,727,000$186,350$No3,727,000$--------1,093,000$--------Yes--------Lien / Lien NHL
Alec MartinezRed WingsD381987-07-26USANo210 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm2,650,000$132,500$2,650,000$132,500$No---------------------------Lien / Lien NHL
Alex IafalloRed WingsLW321993-12-21USANo201 Lbs6 ft0YesNoN/ANoYes2FalseFalsePro & Farm2,267,000$113,350$2,267,000$113,350$No2,267,000$--------1,631,000$--------Yes--------Lien / Lien NHL
Alex SuzdalevRed WingsLW222004-03-05SWENo181 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$50,000$1,000,000$50,000$No---------------------------Lien
Braeden KresslerRed WingsC232003-01-05ONYes174 Lbs5 ft9NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$100,000$2,000,000$100,000$No---------------------------Lien
Brett ChorskeRed WingsC/LW/RW252001-05-24USANo216 Lbs6 ft7NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$50,000$1,000,000$50,000$No---------------------------Lien
Charlie WrightRed WingsD222003-10-22ABNo179 Lbs6 ft1NoNoAssign ManuallyNoNo12026-03-06FalseFalsePro & Farm3,000,000$150,000$3,000,000$150,000$No---------------------------Lien
Christian DvorakRed WingsC301996-02-02USANo190 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm2,492,000$124,600$2,492,000$124,600$No---------------------------Lien / Lien NHL
Clayton KellerRed WingsC/LW/RW271998-07-29USANo175 Lbs5 ft10YesNoN/ANoYes2FalseFalsePro & Farm3,830,000$191,500$3,830,000$191,500$No3,830,000$--------773,256$--------Yes--------Lien / Lien NHL
Emil HeinemanRed WingsLW242001-11-16SWEYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$46,250$925,000$46,250$No---------------------------Lien
Frederick GaudreauRed WingsC/LW/RW331993-05-01CANNo184 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm2,580,000$129,000$2,580,000$129,000$No---------------------------Lien / Lien NHL
Georgi RomanovRed WingsG261999-12-15RUSYes207 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-26FalseFalsePro & Farm1,500,000$75,000$1,500,000$75,000$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Isac LundestromRed WingsC/LW261999-11-06SWENo191 Lbs6 ft0NoNoN/ANoYes32025-10-17FalseFalsePro & Farm2,230,000$111,500$2,230,000$111,500$No2,230,000$2,230,000$-------2,230,000$2,230,000$-------NoNo-------Lien / Lien NHL
Ivan ProvorovRed WingsD291997-01-13RUSNo213 Lbs6 ft1YesNoN/ANoYes1FalseFalsePro & Farm3,315,000$165,750$3,315,000$165,750$No---------------------------Lien / Lien NHL
Jake DeBruskRed WingsLW/RW291996-10-17CANNo198 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm4,099,000$204,950$4,099,000$204,950$No---------------------------Lien / Lien NHL
Jared SpurgeonRed WingsD361989-11-29CANNo166 Lbs5 ft9YesNoN/ANoYes1FalseFalsePro & Farm3,032,000$151,600$3,032,000$151,600$No---------------------------Lien / Lien NHL
Jaxon CastorRed WingsG291997-03-14USANo201 Lbs6 ft3NoNoAssign ManuallyNoYes12026-01-16FalseFalsePro & Farm1,000,000$50,000$1,000,000$50,000$No---------------------------Lien
John GibsonRed WingsG321993-07-14USANo214 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm4,860,000$243,000$4,860,000$243,000$No---------------------------Lien / Lien NHL
Matthew PoitrasRed WingsC/LW/RW222004-03-10CANNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm870,000$43,500$870,000$43,500$No870,000$--------870,000$--------No--------Lien
Max PaciorettyRed WingsLW/RW371988-11-20USANo217 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm2,925,000$146,250$2,925,000$146,250$No---------------------------Lien / Lien NHL
Michael CallahanRed WingsD261999-09-23USAYes199 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,407,000$70,350$1,407,000$70,350$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/ANoYes1FalseFalsePro & Farm3,208,000$160,400$3,208,000$160,400$No---------------------------Lien / Lien NHL
Scott PerunovichRed WingsD271998-08-18USANo175 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm968,000$48,400$968,000$48,400$No---------------------------Lien
William StromgrenRed WingsLW232003-06-07SWENo190 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,390,000$69,500$1,390,000$69,500$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 : Jaxon Castor, #2 : John Gibson
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
1Avalanche2100010012111110000006421000010067-130.750122234004710104304133076252314125.00%10100.00%01085219849.36%1020206849.32%753149450.40%452940173416
2Blackhawks31100001141221100000062420100001810-230.50014233700365011137363741024987013323.08%4175.00%01085219849.36%1020206849.32%753149450.40%683859275630
3Blue Jackets21100000810-2110000007431010000016-520.50081523000710831042310782275210220.00%10100.00%01085219849.36%1020206849.32%753149450.40%422338183820
4Blues211000001112-11010000058-31100000064220.5001120310032608529263007837443500.00%20100.00%01085219849.36%1020206849.32%753149450.40%392043183619
5Bruins522010001921-22110000069-3311010001312160.600193352104861205786066122471389514214.29%9188.89%01085219849.36%1020206849.32%753149450.40%10156113458643
6Canadiens512001011721-42010010068-2311000011113-240.4001724410045801987462596209792711710220.00%11190.91%01085219849.36%1020206849.32%753149450.40%11263100459447
7Canucks21001000181081000100076111000000114741.00018294700665188322727284234498225.00%20100.00%01085219849.36%1020206849.32%753149450.40%422542173518
8Capitals2110000059-41010000017-61100000042220.500591400122097423124087364368225.00%20100.00%01085219849.36%1020206849.32%753149450.40%422644163216
9Coyotes220000001275110000007341100000054141.00012213300273087373119062230377114.29%000%01085219849.36%1020206849.32%753149450.40%472734163719
10Devils20200000711-41010000025-31010000056-100.0007142100115088262834081206427114.29%3166.67%01085219849.36%1020206849.32%753149450.40%392244183517
11Ducks211000001014-410100000410-61100000064220.50010152500154085321934093351330500.00%4325.00%01085219849.36%1020206849.32%753149450.40%382248183216
12Flames2000110011110100010006511000010056-130.75011193000352198263533495371430300.00%7185.71%01085219849.36%1020206849.32%753149450.40%442645173517
13Flyers21100000111101010000068-21100000053220.5001114250033508625362508018155511327.27%000%01085219849.36%1020206849.32%753149450.40%482735173619
14Golden Knights2020000027-51010000014-31010000013-200.0002351011007917402207022439700.00%20100.00%01085219849.36%1020206849.32%753149450.40%422339193819
15Islanders2010010048-41010000025-31000010023-110.25047110001308015263907830941200.00%20100.00%01085219849.36%1020206849.32%753149450.40%382146183718
16Jets321000001082211000006601100000042240.6671016260052301363753460112488681400.00%40100.00%01085219849.36%1020206849.32%753149450.40%663861285226
17Kings310000111814410000010431210000011411350.8331827450074621285032449129524558225.00%20100.00%01085219849.36%1020206849.32%753149450.40%673864265730
18Lightning412001001820-221100000109120100100811-330.37518274520576017651675711586128711327.27%10100.00%01085219849.36%1020206849.32%753149450.40%905477347437
19Maple Leafs513001001421-730200100612-62110000089-130.3001424381055402218475620175471411811218.18%7185.71%01085219849.36%1020206849.32%753149450.40%1136795449244
20Oilers220000001073110000005321100000054141.0001015250043307422351709244840500.00%40100.00%01085219849.36%1020206849.32%753149450.40%402245183317
21Panthers523000002124-3312000001113-2211000001011-140.4002130510011730241104667101987561102015.00%3233.33%01085219849.36%1020206849.32%753149450.40%1146897438746
22Penguins2200000016610110000008351100000083541.000162844003670922328410891916454250.00%3166.67%01085219849.36%1020206849.32%753149450.40%432640163618
23Predators21000100440110000003211000010012-130.75045900130089303024546242508112.50%10100.00%01085219849.36%1020206849.32%753149450.40%452536204220
24Rangers220000001358110000005231100000083541.000132336002470104272750062294508225.00%20100.00%01085219849.36%1020206849.32%753149450.40%482834163719
25Sabres660000003522134400000022157220000001376121.000355691007141402566710782028893101219111.11%50100.00%01085219849.36%1020206849.32%753149450.40%120691345310553
26Senators513001002536-11211000001215-3302001001321-830.30025446910611801957648710218701511214214.29%5260.00%01085219849.36%1020206849.32%753149450.40%10459106428945
27Sharks311001001112-11010000025-32100010097230.5001120310035301415949330110481545400.00%50100.00%01085219849.36%1020206849.32%753149450.40%643962285525
28Stars21000100880110000004311000010045-130.7508122000251071263015070271042300.00%50100.00%01085219849.36%1020206849.32%753149450.40%412341193817
29Whalers2010010068-21000010034-11010000034-110.2506121800222072252027083274533133.33%2150.00%01085219849.36%1020206849.32%753149450.40%412341183719
30Wild20100100711-41010000036-31000010045-110.2507132000151076382116185220485120.00%000%01085219849.36%1020206849.32%753149450.40%402246163417
Total853630031213377381-442181802310176189-13431812019032011929950.5593776209976010014912453646122912281169333412121327318112413715.35%991584.85%01085219849.36%1020206849.32%753149450.40%1838106317667621541780
_Since Last GM Reset853630031213377381-442181802310176189-13431812019032011929950.5593776209976010014912453646122912281169333412121327318112413715.35%991584.85%01085219849.36%1020206849.32%753149450.40%1838106317667621541780
_Vs Conference51212201601219233-1426111200300107119-1225101001301112114-2510.50021936057950548381121947277237398210869717711341422618.31%561082.14%01085219849.36%1020206849.32%753149450.40%11016371052450920467
_Vs Division35141501401149165-161888002007381-81767012017684-8350.500149238387504257491149253448546881470496112760891314.61%41782.93%01085219849.36%1020206849.32%753149450.40%755439726309629317

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8595L1377620997364634121213273181160
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
85363031213377381
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4218182310176189
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4318121903201192
Derniers 10 matchs
WLOTWOTL SOWSOL
420202
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2413715.35%991584.85%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
122912281169331001491245
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
1085219849.36%1020206849.32%753149450.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1838106317667621541780


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
16Sabres8Red Wings9WSommaire du match
226Red Wings4Bruins3WXSommaire du match
341Red Wings3Canadiens2WSommaire du match
556Panthers2Red Wings5WSommaire du match
675Sabres4Red Wings6WSommaire du match
782Red Wings2Senators7LSommaire du match
8100Maple Leafs3Red Wings2LSommaire du match
10125Lightning2Red Wings5WSommaire du match
11130Red Wings9Sabres4WSommaire du match
13147Red Wings4Maple Leafs3WSommaire du match
15170Red Wings4Sharks1WSommaire du match
16182Senators6Red Wings7WSommaire du match
17196Panthers3Red Wings1LSommaire du match
19220Red Wings4Bruins6LSommaire du match
20230Canadiens5Red Wings4LXSommaire du match
21253Maple Leafs5Red Wings1LSommaire du match
23272Red Wings5Sharks6LXSommaire du match
24286Wild6Red Wings3LSommaire du match
26310Red Wings6Kings7LXXSommaire du match
27321Capitals7Red Wings1LSommaire du match
28342Red Wings8Kings4WSommaire du match
29349Rangers2Red Wings5WSommaire du match
31373Flyers8Red Wings6LSommaire du match
32386Red Wings5Devils6LSommaire du match
33403Canadiens3Red Wings2LSommaire du match
35421Red Wings6Avalanche7LXSommaire du match
36432Red Wings2Islanders3LXSommaire du match
37444Avalanche4Red Wings6WSommaire du match
38466Sharks5Red Wings2LSommaire du match
39482Islanders5Red Wings2LSommaire du match
40497Red Wings1Blue Jackets6LSommaire du match
41512Red Wings4Capitals2WSommaire du match
42523Predators2Red Wings3WSommaire du match
44540Red Wings8Rangers3WSommaire du match
45554Red Wings4Stars5LXSommaire du match
46568Coyotes3Red Wings7WSommaire du match
49590Canucks6Red Wings7WXSommaire du match
50612Blues8Red Wings5LSommaire du match
52628Red Wings1Golden Knights3LSommaire du match
53645Red Wings5Flyers3WSommaire du match
54652Blackhawks2Red Wings6WSommaire du match
56673Red Wings3Whalers4LSommaire du match
57685Panthers8Red Wings5LSommaire du match
58701Red Wings4Panthers6LSommaire du match
59711Red Wings5Oilers4WSommaire du match
60721Ducks10Red Wings4LSommaire du match
62746Penguins3Red Wings8WSommaire du match
63761Red Wings6Panthers5WSommaire du match
64776Golden Knights4Red Wings1LSommaire du match
66798Red Wings4Maple Leafs6LSommaire du match
67808Red Wings6Lightning7LXSommaire du match
68816Whalers4Red Wings3LXSommaire du match
70839Devils5Red Wings2LSommaire du match
71852Red Wings6Blues4WSommaire du match
73869Red Wings7Senators9LSommaire du match
74878Red Wings2Lightning4LSommaire du match
75890Flames5Red Wings6WXSommaire du match
76908Jets5Red Wings2LSommaire du match
78931Red Wings4Senators5LXSommaire du match
79941Maple Leafs4Red Wings3LXSommaire du match
80957Red Wings4Sabres3WSommaire du match
81969Oilers3Red Wings5WSommaire du match
82984Red Wings11Canucks4WSommaire du match
841001Jets1Red Wings4WSommaire du match
861025Kings3Red Wings4WXXSommaire du match
871034Red Wings5Bruins3WSommaire du match
891056Red Wings5Flames6LXSommaire du match
901064Senators9Red Wings5LSommaire du match
911075Red Wings8Penguins3WSommaire du match
921091Stars3Red Wings4WSommaire du match
941110Red Wings1Blackhawks2LSommaire du match
951124Sabres1Red Wings4WSommaire du match
961143Red Wings6Ducks4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971151Bruins7Red Wings2LSommaire du match
981164Red Wings4Jets2WSommaire du match
1001181Red Wings1Predators2LXSommaire du match
1011192Sabres2Red Wings3WSommaire du match
1021202Red Wings4Wild5LXSommaire du match
1041220Red Wings7Blackhawks8LXXSommaire du match
1051224Bruins2Red Wings4WSommaire du match
1061233Red Wings5Canadiens6LXXSommaire du match
1071248Red Wings5Coyotes4WSommaire du match
1091269Lightning7Red Wings5LSommaire du match
1121289Blue Jackets4Red Wings7WSommaire du match
1141309Red Wings3Canadiens5LSommaire du match
1161318Lightning-Red Wings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603520200
Assistance183,184200,41482,596160,91830,619
Attendance PCT72.69%95.44%98.33%95.78%72.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 15660 - 87.00% 1,510,444$63,438,630$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
57,063,524$ 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
492,175$ 56,113,544$ 0$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,510,444$ 6 500,508$ 3,003,048$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
3,003,048$ 139,268,317$ 137,775,713$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
59,066,594$ 15,433,406$ 74,500,000$ 566,594$



Charte de profondeur

Ailier gaucheCentreAilier droit
Clayton KellerAGE:27PO:78OV:78
Jake DeBruskAGE:29PO:76OV:75
Frederick GaudreauAGE:33PO:72OV:73
Alex IafalloAGE:32PO:70OV:72
Isac LundestromAGE:26PO:65OV:71
Emil Heineman (R)AGE:24PO:68OV:68
Max PaciorettyAGE:37PO:66OV:67
Matthew PoitrasAGE:22PO:61OV:65
William StromgrenAGE:23PO:61OV:63
Adam BeckmanAGE:25PO:61OV:62
Andrew AgozzinoAGE:35PO:62OV: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:78OV:78
Adam LowryAGE:33PO:72OV:73
Frederick GaudreauAGE:33PO:72OV:73
Christian DvorakAGE:30PO:70OV:71
Isac LundestromAGE:26PO:65OV:71
Matthew PoitrasAGE:22PO:61OV:65
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:78OV:78
Jake DeBruskAGE:29PO:76OV:75
Frederick GaudreauAGE:33PO:72OV:73
Nino NiederreiterAGE:33PO:70OV:71
Max PaciorettyAGE:37PO:66OV:67
Matthew PoitrasAGE:22PO:61OV:65
Adam BeckmanAGE:25PO:61OV:62
Braeden Bowman (R)AGE:22PO:61OV:61
Brett ChorskeAGE:25PO:63OV:60
Xavier BourgaultAGE:23PO:58OV:60
Brady StonehouseAGE:21PO:51OV:52

Défense #1Défense #2Gardien
Ivan ProvorovAGE:29PO:64OV:75
Adam FoxAGE:28PO:68OV:74
Jared SpurgeonAGE:36PO:64OV:72
Alec MartinezAGE:38PO:60OV:68
Michael Callahan (R)AGE:26PO:56OV:65
Scott PerunovichAGE:27PO:57OV:63
Frederic Brunet (R)AGE:22PO:52OV:62
Connor CarrickAGE:32PO:59OV:60
Hunter DrewAGE:27PO:55OV:59
Joseph CecconiAGE:29PO:49OV:58
Jeremy Hanzel (R)AGE:23PO:47OV:56
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:73OV:74
Brandon HalversonAGE:30PO:61OV:66
Jaxon CastorAGE:29PO:59OV:60
Georgi Romanov (R)AGE:26PO:53OV:56
Hunter MiskaAGE:30PO: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

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Red Wings Historique de transactions

[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