Connexion

Red Wings
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Ted | Morale : 1 | Moyenne d’équipe : 82
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralTed
EntraîneurMike Babcock
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Nom
Capacité18,000
Assistance
Billets de saison7,200


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 250
Espoirs48


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible75,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial18


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel-2,690,333$
Compte bancaire projeté-2,690,333$


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Henrik Zetterberg0X100.0079759899849999999199908690899587878522936,083,333$
2Ilya Kovalchuk0X100.0080948999999999997098997999839087878522636,666,667$
3Pavel Datsyuk0X100.0086769999849999969596929292939687878523136,700,000$
4Antoine Vermette0X100.0087759799879999999993918891858487878422733,750,000$
5Corey Perry0X100.0088907296919999997099918191798587878322425,325,000$
6Bobby Ryan0X100.0093848388919999997388978197758187878222235,100,000$
7Dan Cleary0X100.0097949593899595957984868486938887878123122,800,000$
8Tomas Holmstrom0X100.0085738687869898976784937893999887878123611,875,000$
9Johan Franzen0X100.0095748984978484988488917991918887878023033,954,545$
10Todd Bertuzzi0X100.0092748487989999907586857785999987878023411,937,500$
11Valtteri Filppula0X100.008075969384898992909183838381828787792252750,000$
12Jiri Hudler0X100.0073769994799191927287907990798487877922512,875,000$
13Mike Green0X100.0096748990899999996799949694798587878522415,250,000$
14Brad Stuart0X100.0099769994929999817782759275919187878323013,750,000$
15Brian Rafalski0X100.0078759999849999896794838883999987878323616,000,000$
16Keith Ballard0X100.0098948194909999866785839783858287878322734,200,000$
17Niklas Kronwall0X100.0095739097848686906788888988878587878122813,000,000$
18Jason Garrison0X100.008696937696818185677873847381748787742251675,000$
Rayé
1Mike Modano0X100.0078769797939090909183867886999987878023900$
2Patrick Eaves0X100.0097989795839696957077828882818287877922500$
3Drew Miller0X100.0088769989799999907174778677817887877722500$
4Nicklas Lidstrom0X100.0081759999839999956797859285999987878523900$
5Milan Jurcina0X100.0099769383998080816778698869838587877722600$
Équipe Mineure
1Darren Helm0X100.009976999084979788907880887975768787782221912,500$
2Scott Parse0X100.008375978685919192828082808281798787772251900,000$
3Justin Abdelkader0X100.009993888592848486817071777175768787732221787,500$
4Doug Janik0X100.007698818292707076677767836789818787722291512,500$
5Jakub Kindl0X100.007178998688636367676767766775768787682222833,333$
6Josh Bailey0X100.0084769988839898927882848384717587877822000$
7Kris Draper0X100.0087759890819999938478748074999987877823800$
8Chris Thorburn0X100.0093997982999999918374718871838087877722600$
9Tyler Kennedy0X100.0085959493799595947378837883777987877722300$
10Lauri Korpikoski0X100.0089769988869696907172728472778087877522300$
11Anthony Stewart0X100.0093999275998686857172697669787587877222400$
12Christopher Minard0X100.0073789979836464686770677667878287876622800$
13Chris Butler0X100.0083759792888888856790698269777887877722300$
14Ruslan Salei0X100.0089759283927676886787758375999587877723500$
15Jonathan Ericsson0X100.0094958980978686786778778277818287877622500$
16Mark Fraser0X100.0099999283968585786771758375777687877622300$
17Andreas Lilja0X100.0094789981966868696770738473999287877423400$
18Derek Meech0X100.0082979683878080796774747673817987877222500$
MOYENNE D’ÉQUIPE100.00888393898990908975838184818585878778
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
1Jimmy Howard0100.009999979599999999999999859262879322600$
2Josh Harding0100.009492909797959597979596888862879022600$
Équipe Mineure
1Chris Osgood0100.009486779192949493948993999818878823700$
2Devan Dubnyk0100.009282899992949493949293818077878722400$
3Joey MacDonald0100.008774909590888890908989888422878423000$
MOYENNE D’ÉQUIPE100.0093878995949494949593948888488788
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Babcock88898992879170CAN4932,232,000$


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
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


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
Antoine VermetteRed WingsC271997-11-03CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo3FalseFalsePro & Farm3,750,000$3,750,000$3,750,000$3,750,000$No3,750,000$3,750,000$----------------NoNo-------
Bobby RyanRed WingsRW222002-11-03USANo208 Lbs6 ft2NoNoAssign ManuallyNoNo3FalseFalsePro & Farm5,100,000$5,100,000$5,100,000$5,100,000$No5,100,000$5,100,000$----------------NoNo-------
Brad StuartRed WingsD301994-11-03CANNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm3,750,000$3,750,000$3,750,000$3,750,000$No---------------------------
Brian RafalskiRed WingsD361988-11-03USANo194 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm6,000,000$6,000,000$6,000,000$6,000,000$No---------------------------
Corey PerryRed WingsRW242000-11-03CANNo206 Lbs6 ft3NoNoAssign ManuallyNoNo2FalseFalsePro & Farm5,325,000$5,325,000$5,325,000$5,325,000$No5,325,000$-----------------No--------
Dan ClearyRed WingsRW311993-11-03CANNo205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,800,000$2,800,000$2,800,000$2,800,000$No2,800,000$-----------------No--------
Drew MillerRed WingsLW251999-11-03USANo178 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Henrik ZetterbergRed WingsLW291995-11-03SWENo195 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm6,083,333$6,083,333$6,083,333$6,083,333$No6,083,333$6,083,333$----------------NoNo-------
Ilya KovalchukRed WingsLW261998-11-03RUSNo230 Lbs6 ft2NoNoAssign ManuallyNoNo3FalseFalsePro & Farm6,666,667$6,666,667$6,666,667$6,666,667$No6,666,667$6,666,667$----------------NoNo-------
Jason GarrisonRed WingsD251999-11-03CANNo220 Lbs6 ft2NoNoAssign ManuallyNoNo1FalseFalsePro & Farm675,000$675,000$675,000$675,000$No---------------------------
Jimmy HowardRed WingsG261998-11-03USANo210 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Jiri HudlerRed WingsRW251999-11-03CZENo182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,875,000$2,875,000$2,875,000$2,875,000$No---------------------------
Johan FranzenRed WingsRW301994-11-03SWENo222 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm3,954,545$3,954,545$3,954,545$3,954,545$No3,954,545$3,954,545$----------------NoNo-------
Josh HardingRed WingsG261998-11-03CANNo197 Lbs6 ft1NoNoAssign ManuallyNoNo02024-10-08FalseFalsePro & Farm0$0$No---------------------------
Keith BallardRed WingsD271997-11-03USANo208 Lbs5 ft11NoNoAssign ManuallyNoNo3FalseFalsePro & Farm4,200,000$4,200,000$4,200,000$4,200,000$No4,200,000$4,200,000$----------------NoNo-------
Mike GreenRed WingsD242000-11-03CANNo204 Lbs6 ft1NoNoAssign ManuallyNoNo1FalseFalsePro & Farm5,250,000$5,250,000$5,250,000$5,250,000$No---------------------------
Mike ModanoRed WingsC391985-11-03USANo212 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Milan JurcinaRed WingsD261998-11-03SVKNo236 Lbs6 ft4NoNoAssign ManuallyNoNo0FalseFalsePro & Farm0$0$No---------------------------
Nicklas LidstromRed WingsD391985-11-03SWENo190 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Niklas KronwallRed WingsD281996-11-03SWENo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$3,000,000$No---------------------------
Patrick EavesRed WingsRW251999-11-03CANNo191 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Pavel DatsyukRed WingsC311993-11-03RUSNo194 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm6,700,000$6,700,000$6,700,000$6,700,000$No6,700,000$6,700,000$----------------NoNo-------
Todd BertuzziRed WingsRW341990-11-03CANNo225 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,937,500$1,937,500$1,937,500$1,937,500$No---------------------------
Tomas HolmstromRed WingsLW361988-11-03SWENo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,875,000$1,875,000$1,875,000$1,875,000$No---------------------------
Valtteri FilppulaRed WingsC251999-11-03FINNo193 Lbs6 ft0NoNoN/ANoNo22024-10-07FalseFalsePro & Farm750,000$750,000$750,000$750,000$No750,000$-----------------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.64204 Lbs6 ft11.402,827,682$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
70,692,045$45,329,545$36,454,545$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Henrik ZetterbergPavel DatsyukCorey Perry40122
2Ilya KovalchukAntoine VermetteDan Cleary30122
3Tomas HolmstromJohan Franzen20122
4Henrik ZetterbergValtteri FilppulaTodd Bertuzzi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Green40122
2Brian RafalskiBrad Stuart30122
3Niklas Kronwall20122
4Mike Green10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Henrik ZetterbergPavel DatsyukCorey Perry60122
2Ilya KovalchukAntoine VermetteDan Cleary40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Green60122
2Brian RafalskiBrad Stuart40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Henrik ZetterbergIlya Kovalchuk60122
2Pavel DatsyukAntoine Vermette40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Green60122
2Brian RafalskiBrad Stuart40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Henrik Zetterberg60122Mike Green60122
2Ilya Kovalchuk40122Brian RafalskiBrad Stuart40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Henrik ZetterbergIlya Kovalchuk60122
2Pavel DatsyukAntoine Vermette40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Green60122
2Brian RafalskiBrad Stuart40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Henrik ZetterbergPavel DatsyukCorey PerryMike Green
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Henrik ZetterbergPavel DatsyukCorey PerryMike Green
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jiri Hudler, Tomas Holmstrom, Jiri Hudler, Tomas Holmstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Niklas Kronwall, , Brian RafalskiNiklas Kronwall, Brian Rafalski
Tirs de pénalité
Henrik Zetterberg, Ilya Kovalchuk, Pavel Datsyuk, Antoine Vermette, Corey Perry
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603520200
Assistance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 0 - 0%0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 70,692,045$ 70,692,045$ 2,232,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 18 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ -2,690,333$ -2,690,333$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 75,000,000$ 75,000,000$ -35,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Henrik ZetterbergAGE:29PO:87OV:85
Ilya KovalchukAGE:26PO:87OV:85
Tomas HolmstromAGE:36PO:87OV:81
Drew MillerAGE:25PO:87OV:77
Scott ParseAGE:25PO:87OV:77
Lauri KorpikoskiAGE:23PO:87OV:75
Justin AbdelkaderAGE:22PO:87OV:73
Christopher MinardAGE:28PO:87OV:66
Pavel DatsyukAGE:31PO:87OV:85
Antoine VermetteAGE:27PO:87OV:84
Mike ModanoAGE:39PO:87OV:80
Valtteri FilppulaAGE:25PO:87OV:79
Darren HelmAGE:22PO:87OV:78
Josh BaileyAGE:20PO:87OV:78
Kris DraperAGE:38PO:87OV:78
Tyler KennedyAGE:23PO:87OV:77
Corey PerryAGE:24PO:87OV:83
Bobby RyanAGE:22PO:87OV:82
Dan ClearyAGE:31PO:87OV:81
Johan FranzenAGE:30PO:87OV:80
Todd BertuzziAGE:34PO:87OV:80
Patrick EavesAGE:25PO:87OV:79
Jiri HudlerAGE:25PO:87OV:79
Chris ThorburnAGE:26PO:87OV:77
Anthony StewartAGE:24PO:87OV:72

Défense #1Défense #2Gardien
Mike GreenAGE:24PO:87OV:85
Nicklas LidstromAGE:39PO:87OV:85
Brad StuartAGE:30PO:87OV:83
Brian RafalskiAGE:36PO:87OV:83
Keith BallardAGE:27PO:87OV:83
Niklas KronwallAGE:28PO:87OV:81
Chris ButlerAGE:23PO:87OV:77
Milan JurcinaAGE:26PO:87OV:77
Ruslan SaleiAGE:35PO:87OV:77
Jonathan EricssonAGE:25PO:87OV:76
Mark FraserAGE:23PO:87OV:76
Andreas LiljaAGE:34PO:87OV:74
Jason GarrisonAGE:25PO:87OV:74
Derek MeechAGE:25PO:87OV:72
Doug JanikAGE:29PO:87OV:72
Jakub KindlAGE:22PO:87OV:68
Jimmy HowardAGE:26PO:62OV:93
Josh HardingAGE:26PO:62OV:90
Chris OsgoodAGE:37PO:18OV:88
Devan DubnykAGE:24PO:77OV:87
Joey MacDonaldAGE:30PO:22OV:84

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 AlmqvistRed Wings00
Andrej NestrasilRed Wings00
Benjamin MarshallRed Wings00
Blake ColemanRed Wings00
Blake ColemanRed Wings00
Brendan SmithRed Wings00
Brent RaedekeRed Wings00
Brian LashoffRed Wings00
Brooks MacekRed Wings00
Bryan RufenachRed Wings00
Calle JarnkrokRed Wings00
Cory EmmertonRed Wings00
Daniel LarssonRed Wings00
Dick AxelssonRed Wings00
Francis PareRed Wings00
Gleason FournierRed Wings00
Gustav NyquistRed Wings00
Jan MursakRed Wings00
Jesper SamuelssonRed Wings00
Joakim AnderssonRed Wings00
Joel EdmundsonRed Wings00
Jonas BrodinRed Wings00
Jonathan HuberdeauRed Wings00
Jordan PearceRed Wings00
Julien CayerRed Wings00
Landon FerraroRed Wings00
Logan PyettRed Wings00
Louis-Marc AubryRed Wings00
Mattias RitolaRed Wings00
Max NicastroRed Wings00
Mitchell CallahanRed Wings00
Nick JensenRed Wings00
Nick OslundRed Wings00
Nikita KucherovRed Wings00
Ondrej PalatRed Wings00
Petr MrazekRed Wings00
Riley SheahanRed Wings00
Scott MayfieldRed Wings00
Scott MayfieldRed Wings00
Sebastien PicheRed Wings00
Sergei KolosovRed Wings00
Teemu PulkkinenRed Wings00
Thomas McCollumRed Wings00
Tomas TatarRed Wings00
Travis EhrhardtRed Wings00
William CoetzeeRed Wings00
William KarlssonRed Wings00
William KarlssonRed Wings00

Choix au repêchage

Année R1R2R3R4R5R6R7
2011Det Det Det Det Det Phi Det Det
2012Det Det Det Det Det Det Det
2013Det Det Det Det Det Det Det
2014Det Det Det Det Det Det Det
2015Det Det Det Det Det Det Det
Choix au repêchage conditionnel



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


Red Wings Historique de transactions

[3/26/2025 1:28:30 AM] - Keith Ballard was added to Red Wings.
[3/26/2025 1:26:43 AM] - Bobby Ryan was added to Red Wings.
[3/25/2025 5:32:14 AM] - Joel Edmundson has been added to Red Wings.
[3/25/2025 5:32:09 AM] - Scott Mayfield has been added to Red Wings.
[3/25/2025 5:31:58 AM] - Blake Coleman has been added to Red Wings.
[3/25/2025 5:31:52 AM] - William Karlsson has been added to Red Wings.
[3/25/2025 5:31:43 AM] - Jonas Brodin has been added to Red Wings.
[3/25/2025 5:31:37 AM] - Jonathan Huberdeau has been added to Red Wings.
[3/25/2025 5:27:00 AM] - Scott Mayfield has been added to Red Wings.
[3/25/2025 5:26:39 AM] - Blake Coleman has been added to Red Wings.
[3/25/2025 5:26:32 AM] - William Karlsson has been added to Red Wings.
[3/25/2025 5:26:24 AM] - Ondrej Palat has been added to Red Wings.
[3/25/2025 5:26:19 AM] - Nikita Kucherov has been added to Red Wings.
[2/16/2025 10:59:05 PM] - Red Wings was eliminated at round 1 of year 2010.
[2/16/2025 10:53:02 PM] - Grand Rapids Griffins was eliminated at round 1 of year 2010.
[1/26/2025 11:22:12 PM] - New Record for Team's Most Shots Blocked (13) in 1 Game for Red Wings!
[1/23/2025 11:28:41 PM] - New Record for Team's Most Hits (19) in 1 Game for Red Wings!
[1/19/2025 11:36:13 PM] - New Record for Team's Most Shots Blocked (12) in 1 Game for Red Wings!
[12/29/2024 11:17:23 PM] - New Record for Team's Most Shots (28) in 1 Game for Red Wings!
[12/26/2024 11:32:58 PM] - New Record for Team's Most Shots Blocked (10) in 1 Game for Red Wings!
[12/2/2024 11:13:06 PM] - New Record for Team's Most Hits (16) in 1 Game for Red Wings!
[11/22/2024 11:32:12 PM] - New Record for Team's Most Shots Blocked (9) in 1 Game for Red Wings!
[11/19/2024 11:25:51 PM] - New Record for Team's Most Points (12) in 1 Game for Red Wings!
[11/19/2024 11:25:51 PM] - New Record for Team's Most Assists (8) in 1 Game for Red Wings!
[11/17/2024 11:24:06 PM] - New Record for Team's Most Shots (26) in 1 Game for Red Wings!
[11/16/2024 11:26:02 PM] - New Record for Team's Most Hits (13) in 1 Game for Red Wings!
[11/16/2024 11:26:02 PM] - New Record for Team's Most Penalties Minutes (14) in 1 Game for Red Wings!
[11/15/2024 11:29:54 PM] - New Record for Team's Most Shots (25) in 1 Game for Red Wings!
[11/13/2024 11:28:29 PM] - New Record for Team's Most Penalties Minutes (8) in 1 Game for 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