Connexion

Red Wings
GP: 9 | W: 6 | L: 2 | OTL: 1 | P: 13
GF: 24 | GA: 19 | PP%: 9.68% | PK%: 93.33%
DG: Ted | Morale : 1 | Moyenne d’équipe : 83
Prochains matchs #59 vs Avalanche
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Centre de jeu
Red Wings
6-2-1, 13pts
4
FINAL
2 Blackhawks
2-5-1, 5pts
Team Stats
W5SéquenceL2
3-2-0Fiche domicile2-2-1
3-0-1Fiche visiteur0-3-0
6-2-1Derniers 10 matchs2-5-1
2.67Buts par match 1.88
2.11Buts contre par match 2.63
9.68%Pourcentage en avantage numérique7.14%
93.33%Pourcentage en désavantage numérique88.89%
Blackhawks
2-5-1, 5pts
1
FINAL
2 Red Wings
6-2-1, 13pts
Team Stats
L2SéquenceW5
2-2-1Fiche domicile3-2-0
0-3-0Fiche visiteur3-0-1
2-5-1Derniers 10 matchs6-2-1
1.88Buts par match 2.67
2.63Buts contre par match 2.11
7.14%Pourcentage en avantage numérique9.68%
88.89%Pourcentage en désavantage numérique93.33%
Red Wings
6-2-1, 13pts
2024-11-20
Avalanche
6-2-0, 12pts
Statistiques d’équipe
W5SéquenceW1
3-2-0Fiche domicile4-1-0
3-0-1Fiche visiteur2-1-0
6-2-110 derniers matchs6-2-0
2.67Buts par match 2.00
2.11Buts contre par match 2.00
9.68%Pourcentage en avantage numérique7.14%
93.33%Pourcentage en désavantage numérique87.88%
Avalanche
6-2-0, 12pts
2024-11-22
Red Wings
6-2-1, 13pts
Statistiques d’équipe
W1SéquenceW5
4-1-0Fiche domicile3-2-0
2-1-0Fiche visiteur3-0-1
6-2-010 derniers matchs6-2-1
2.00Buts par match 2.67
1.38Buts contre par match 2.67
7.14%Pourcentage en avantage numérique9.68%
87.88%Pourcentage en désavantage numérique93.33%
Red Wings
6-2-1, 13pts
2024-11-24
Blackhawks
2-5-1, 5pts
Statistiques d’équipe
W5SéquenceL2
3-2-0Fiche domicile2-2-1
3-0-1Fiche visiteur0-3-0
6-2-110 derniers matchs2-5-1
2.67Buts par match 1.88
2.11Buts contre par match 1.88
9.68%Pourcentage en avantage numérique7.14%
93.33%Pourcentage en désavantage numérique88.89%
Meneurs d'équipe
Buts
Antoine Vermette
7
Passes
Tomas Holmstrom
8
Points
Antoine Vermette
13
Plus/Moins
Antoine Vermette
8
Victoires
Jimmy Howard
6
Pourcentage d’arrêts
Jimmy Howard
0.871

Statistiques d’équipe
Buts pour
24
2.67 GFG
Tirs pour
182
20.22 Avg
Pourcentage en avantage numérique
9.7%
3 GF
Début de zone offensive
39.9%
Buts contre
19
2.11 GAA
Tirs contre
140
15.56 Avg
Pourcentage en désavantage numérique
93.3%%
2 GA
Début de la zone défensive
31.3%
Informations de l'équipe

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


Informations de l’aréna

Nom
Capacité18,000
Assistance17,436
Billets de saison7,200


Informations de la formation

Équipe Pro21
Équipe Mineure23
Limite contact 44 / 250
Espoirs37


Plafond salarial

Cap Salarial de la Saison estimé69,658,694$
Plafond salarial disponible5,341,306$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour3,326,815$
Dépenses annuelles à ce jour11,167,488$
Revenus de la saison estimés17,299,438$
Dépenses de la saison estimées60,723,216$
Compte bancaire actuel41,395,263$
Compte bancaire projeté-4,893,755$


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
1Henrik Zetterberg0X100.0079759899849999999199908690899587878522946,083,333$
2Pavel Datsyuk0X100.0086769999849999969596929292939687878523146,700,000$
3Antoine Vermette0X100.0087759799879999999993918891858487878422743,750,000$
4Corey Perry0X100.0088907296919999997099918191798587878322435,325,000$
5Dan Cleary0X100.0097949593899595957984868486938887878123132,800,000$
6Tomas Holmstrom0X100.0085738687869898976784937893999887878123621,875,000$
7Johan Franzen0X100.0095748984978484988488917991918887878023043,954,545$
8Mike Modano0X100.0078769797939090909183867886999987878023911,750,000$
9Todd Bertuzzi0X100.0092748487989999907586857785999987878023421,937,500$
10Patrick Eaves0X100.009798979583969695707782888281828787792251750,000$
11Valtteri Filppula0X100.008075969384898992909183838381828787792253750,000$
12Drew Miller0X100.008876998979999990717477867781788787772251650,000$
13Mike Green0X100.0096748990899999996799949694798587878522425,250,000$
14Nicklas Lidstrom0X100.0081759999839999956797859285999987878423916,200,000$
15Brad Stuart0X100.0099769994929999817782759275919187878323023,750,000$
16Brian Rafalski0X100.0078759999849999896794838883999987878323626,000,000$
17Niklas Kronwall0X100.0095739097848686906788888988878587878122823,000,000$
18Milan Jurcina0X100.0099769383998080816778698869838587877722611,000,000$
Rayé
1Ilya Kovalchuk0X100.0080948999999999997098997999839087878522646,666,667$
Équipe Mineure
1Jiri Hudler0X100.0073769994799191927287907990798487877922522,875,000$
2Darren Helm0X100.009976999084979788907880887975768787782222912,500$
3Josh Bailey0X100.008476998883989892788284838471758787782201750,000$
4Kris Draper0X100.0087759890819999938478748074999987877823811,583,333$
5Chris Thorburn0X100.009399798299999991837471887183808787772261660,000$
6Scott Parse (R)0X100.008375978685919192828082808281798787772252900,000$
7Tyler Kennedy0X100.008595949379959594737883788377798787772231725,000$
8Lauri Korpikoski0X100.008976998886969690717272847277808787752231700,000$
9Justin Abdelkader (R)0X100.009993888592848486817071777175768787732222787,500$
10Chris Butler0X100.008375979288888885679069826977788787772231750,000$
11Ruslan Salei0X100.0089759283927676886787758375999587877723511,100,000$
12Jonathan Ericsson0X100.009495898097868678677877827781828787762251900,000$
13Mark Fraser (R)0X100.009999928396858578677175837577768787762231500,000$
14Andreas Lilja0X100.009478998196686869677073847399928787742341750,000$
15Jason Garrison (R)0X100.008696937696818185677873847381748787742252675,000$
16Derek Meech0X100.008297968387808079677474767381798787722251500,000$
17Doug Janik0X100.007698818292707076677767836789818787722292512,500$
18Anthony Stewart (R)0X100.009399927599868685717269766978758787722241632,500$
19Christopher Minard0X100.007378997983646468677067766787828787662281500,000$
20Jakub Kindl (R)0X100.007178998688636367676767766775768787682223833,333$
MOYENNE D’ÉQUIPE100.00878294898990908875838083808585878778
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
1Jimmy Howard (R)0100.00999997959999999999999985926287932261716,667$
2Josh Harding0100.00949290979795959797959688886287902261750,000$
Rayé
Équipe Mineure
1Chris Osgood0100.009486779192949493948993999818878823711,416,666$
2Devan Dubnyk (R)0100.00928289999294949394929381807787872241750,000$
3Joey MacDonald0100.00877490959088889090898988842287842301500,000$
MOYENNE D’ÉQUIPE100.0093878995949494949593948888488788
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Babcock88898992879170CAN4842,232,000$


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
1Antoine VermetteRed WingsC97613800552681526.92%117919.8930312260002133253.33%90232001.4501000420
2Tomas HolmstromRed WingsLW94812860331561526.67%015917.770335270000020100.00%330001.5000000113
3Corey PerryRed WingsRW932504074112827.27%115116.840003280000121040.00%5102000.6600000001
4Nicklas LidstromRed WingsD914520021173214.29%723225.89011332000031000%0310000.4300000011
5Pavel DatsyukRed WingsC9055100310163120%217919.890006280003380057.89%11474000.5601000000
6Todd BertuzziRed WingsRW923581407794222.22%116218.02011327000000033.33%361000.6200000000
7Brad StuartRed WingsD9044520383440%118620.72000023000120000%003000.4300000000
8Mike GreenRed WingsD922418064132115.38%1122725.23000332000028020%066000.3500000100
9Dan ClearyRed WingsRW9123-20073226144.55%113114.6300000000000140.00%5124000.4600000000
10Mike ModanoRed WingsC9123-24035167116.25%013114.5900000000000065.38%52110000.4600000000
11Henrik ZetterbergRed WingsLW9112-1407513867.69%420622.950002260000300059.09%44174000.1901000000
12Milan JurcinaRed WingsD9022-140352200%812914.410000000007000%004000.3100000010
13Brian RafalskiRed WingsD91014406742125.00%319021.11000223000020000%0112000.1100000000
14Niklas KronwallRed WingsD9101-1800711139.09%312113.490000000000000%003000.1600000000
15Drew MillerRed WingsLW9000-300936060%213615.1100000000040033.33%33200000000000
16Johan FranzenRed WingsRW9000100210040%0182.09000010000000100.00%10000000000000
17Patrick EavesRed WingsRW9000-220421000%1637.06000000000100040.00%52100000000000
18Valtteri FilppulaRed WingsC9000-100237120%0505.6500000000000065.38%261000000000000
Statistiques d’équipe totales ou en moyenne1622441652560079931825910613.19%46265816.413583927700062176557.83%35110558000.4903000655
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
1Jimmy HowardRed Wings96210.8711.98545011814070000.500290100
Statistiques d’équipe totales ou en moyenne96210.8711.9854501181407000290100


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 ManuallyNoNo4FalseFalsePro & Farm3,750,000$3,167,476$3,750,000$3,167,476$No3,750,000$3,750,000$3,750,000$---------------NoNoNo------
Brad StuartRed WingsD301994-11-03CANNo210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm3,750,000$3,167,476$3,750,000$3,167,476$No3,750,000$-----------------No--------
Brian RafalskiRed WingsD361988-11-03USANo194 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm6,000,000$5,067,961$6,000,000$5,067,961$No6,000,000$-----------------No--------
Corey PerryRed WingsRW242000-11-03CANNo206 Lbs6 ft3NoNoAssign ManuallyNoNo3FalseFalsePro & Farm5,325,000$4,497,816$5,325,000$4,497,816$No5,325,000$5,325,000$----------------NoNo-------
Dan ClearyRed WingsRW311993-11-03CANNo205 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm2,800,000$2,365,049$2,800,000$2,365,049$No2,800,000$2,800,000$----------------NoNo-------
Drew MillerRed WingsLW251999-11-03USANo178 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$549,029$650,000$549,029$No---------------------------
Henrik ZetterbergRed WingsLW291995-11-03SWENo195 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm6,083,333$5,138,349$6,083,333$5,138,349$No6,083,333$6,083,333$6,083,333$---------------NoNoNo------
Ilya KovalchukRed WingsLW261998-11-03RUSNo230 Lbs6 ft2NoNoAssign ManuallyNoNo4FalseFalsePro & Farm6,666,667$5,631,068$6,666,667$5,631,068$No6,666,667$6,666,667$6,666,667$---------------NoNoNo------
Jimmy HowardRed WingsG261998-11-03USAYes210 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm716,667$605,340$716,667$605,340$No---------------------------
Johan FranzenRed WingsRW301994-11-03SWENo222 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm3,954,545$3,340,247$3,954,545$3,340,247$No3,954,545$3,954,545$3,954,545$---------------NoNoNo------
Josh HardingRed WingsG261998-11-03CANNo197 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$633,495$750,000$633,495$No---------------------------
Mike GreenRed WingsD242000-11-03CANNo204 Lbs6 ft1NoNoAssign ManuallyNoNo2FalseFalsePro & Farm5,250,000$4,434,466$5,250,000$4,434,466$No5,250,000$-----------------No--------
Mike ModanoRed WingsC391985-11-03USANo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,750,000$1,478,155$1,750,000$1,478,155$No---------------------------
Milan JurcinaRed WingsD261998-11-03SVKNo236 Lbs6 ft4NoNoAssign ManuallyNoNo1FalseFalsePro & Farm1,000,000$844,660$1,000,000$844,660$No---------------------------
Nicklas LidstromRed WingsD391985-11-03SWENo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm6,200,000$5,236,893$6,200,000$5,236,893$No---------------------------
Niklas KronwallRed WingsD281996-11-03SWENo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm3,000,000$2,533,981$3,000,000$2,533,981$No3,000,000$-----------------No--------
Patrick EavesRed WingsRW251999-11-03CANNo191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$633,495$750,000$633,495$No---------------------------
Pavel DatsyukRed WingsC311993-11-03RUSNo194 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm6,700,000$5,659,223$6,700,000$5,659,223$No6,700,000$6,700,000$6,700,000$---------------NoNoNo------
Todd BertuzziRed WingsRW341990-11-03CANNo225 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,937,500$1,636,529$1,937,500$1,636,529$No1,937,500$-----------------No--------
Tomas HolmstromRed WingsLW361988-11-03SWENo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,875,000$1,583,738$1,875,000$1,583,738$No1,875,000$-----------------No--------
Valtteri FilppulaRed WingsC251999-11-03FINNo193 Lbs6 ft0NoNoN/ANoNo32024-10-07FalseFalsePro & Farm750,000$633,495$750,000$633,495$No750,000$750,000$----------------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.38204 Lbs6 ft12.293,317,082$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
69,658,712$57,842,045$36,029,545$27,154,545$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Henrik ZetterbergPavel DatsyukCorey Perry40122
2Tomas HolmstromAntoine VermetteTodd Bertuzzi30122
3Drew MillerMike ModanoDan Cleary20122
4Henrik ZetterbergValtteri FilppulaPatrick Eaves10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicklas LidstromMike Green40122
2Brian RafalskiBrad Stuart30122
3Niklas KronwallMilan Jurcina20122
4Nicklas LidstromMike Green10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Henrik ZetterbergPavel DatsyukCorey Perry60122
2Tomas HolmstromAntoine VermetteTodd Bertuzzi40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicklas LidstromMike Green60122
2Brian RafalskiBrad Stuart40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Henrik ZetterbergPavel Datsyuk60122
2Antoine VermetteCorey Perry40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicklas LidstromMike Green60122
2Brian RafalskiBrad Stuart40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Henrik Zetterberg60122Nicklas LidstromMike Green60122
2Pavel Datsyuk40122Brian RafalskiBrad Stuart40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Henrik ZetterbergPavel Datsyuk60122
2Antoine VermetteCorey Perry40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicklas LidstromMike Green60122
2Brian RafalskiBrad Stuart40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Henrik ZetterbergPavel DatsyukCorey PerryNicklas LidstromMike Green
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Henrik ZetterbergPavel DatsyukCorey PerryNicklas LidstromMike Green
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Johan Franzen, Dan Cleary, Patrick EavesJohan Franzen, Dan ClearyPatrick Eaves
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Niklas Kronwall, Milan Jurcina, Brian RafalskiNiklas KronwallMilan Jurcina, Brian Rafalski
Tirs de pénalité
Henrik Zetterberg, Pavel Datsyuk, Antoine Vermette, Corey Perry, Tomas Holmstrom
Gardien
#1 : Jimmy Howard, #2 : Josh Harding


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
1Avalanche22000000413110000001011100000031241.00048120102204910231602611182111218.18%90100.00%08114057.86%6711060.91%5510154.46%473040153115
2Blackhawks430000011394220000005232100000187170.875132336001570731822324602326339111.11%13192.31%08114057.86%6711060.91%5510154.46%895689336633
3Canucks1010000024-21010000024-20000000000000.000235001100134630214610300.00%3166.67%08114057.86%6711060.91%5510154.46%2213208168
4Flames11000000211000000000001100000021121.000235000110253148016427300.00%10100.00%08114057.86%6711060.91%5510154.46%2416197158
5Sharks1010000034-11010000034-10000000000000.00034700210022958017488500.00%40100.00%08114057.86%6711060.91%5510154.46%2417206147
Total96200001241955320000011101430000011394130.7222441650141010018244706741404660793139.68%30293.33%08114057.86%6711060.91%5510154.46%2091341917214474
_Since Last GM Reset96200001241955320000011101430000011394130.7222441650141010018244706741404660793139.68%30293.33%08114057.86%6711060.91%5510154.46%2091341917214474
_Vs Conference96200001241955320000011101430000011394130.7222441650141010018244706741404660793139.68%30293.33%08114057.86%6711060.91%5510154.46%2091341917214474
_Vs Division650000011710733000000624320000011183110.91717314801179012228454848634445420315.00%22195.45%08114057.86%6711060.91%5510154.46%13786130499749

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
913W524416518214046607901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
96200012419
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4300001139
Derniers 10 matchs
WLOTWOTL SOWSOL
620001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3139.68%30293.33%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
4470674410100
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
8114057.86%6711060.91%5510154.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2091341917214474


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
6 - 2024-11-097Blackhawks1Red Wings3WSommaire du match
7 - 2024-11-1013Red Wings4Blackhawks5LXXSommaire du match
8 - 2024-11-1120Canucks4Red Wings2LSommaire du match
9 - 2024-11-1227Sharks4Red Wings3LSommaire du match
11 - 2024-11-1435Red Wings2Flames1WSommaire du match
12 - 2024-11-1538Avalanche0Red Wings1WSommaire du match
13 - 2024-11-1643Red Wings3Avalanche1WSommaire du match
15 - 2024-11-1849Red Wings4Blackhawks2WSommaire du match
16 - 2024-11-1953Blackhawks1Red Wings2WSommaire du match
17 - 2024-11-2059Red Wings-Avalanche-
19 - 2024-11-2266Avalanche-Red Wings-
21 - 2024-11-2474Red Wings-Blackhawks-
22 - 2024-11-2577Canadiens-Red Wings-
24 - 2024-11-2787Maple Leafs-Red Wings-
26 - 2024-11-2994Red Wings-Flyers-
27 - 2024-11-3099Sharks-Red Wings-
29 - 2024-12-02107Red Wings-Flames-
30 - 2024-12-03111Maple Leafs-Red Wings-
32 - 2024-12-05118Red Wings-Canadiens-
33 - 2024-12-06121Avalanche-Red Wings-
36 - 2024-12-09130Red Wings-Hurricanes-
37 - 2024-12-10135Canucks-Red Wings-
40 - 2024-12-13144Red Wings-Bruins-
41 - 2024-12-14146Red Wings-Blackhawks-
42 - 2024-12-15151Bruins-Red Wings-
44 - 2024-12-17158Avalanche-Red Wings-
46 - 2024-12-19167Red Wings-Flames-
47 - 2024-12-20169Hurricanes-Red Wings-
48 - 2024-12-21177Red Wings-Sharks-
50 - 2024-12-23182Flyers-Red Wings-
51 - 2024-12-24187Red Wings-Hurricanes-
52 - 2024-12-25194Canadiens-Red Wings-
53 - 2024-12-26199Red Wings-Avalanche-
54 - 2024-12-27204Red Wings-Maple Leafs-
55 - 2024-12-28210Blackhawks-Red Wings-
57 - 2024-12-30217Avalanche-Red Wings-
59 - 2025-01-01225Red Wings-Canucks-
60 - 2025-01-02231Sharks-Red Wings-
64 - 2025-01-06237Red Wings-Sharks-
65 - 2025-01-07241Flyers-Red Wings-
66 - 2025-01-08246Red Wings-Lightning-
69 - 2025-01-11254Lightning-Red Wings-
70 - 2025-01-12259Red Wings-Sharks-
72 - 2025-01-14265Flames-Red Wings-
73 - 2025-01-15270Red Wings-Canucks-
74 - 2025-01-16277Hurricanes-Red Wings-
76 - 2025-01-18286Red Wings-Canadiens-
77 - 2025-01-19290Red Wings-Blackhawks-
78 - 2025-01-20294Lightning-Red Wings-
79 - 2025-01-21301Red Wings-Avalanche-
80 - 2025-01-22307Flames-Red Wings-
82 - 2025-01-24314Red Wings-Canucks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
84 - 2025-01-26317Canucks-Red Wings-
86 - 2025-01-28325Red Wings-Avalanche-
87 - 2025-01-29328Red Wings-Bruins-
89 - 2025-01-31334Red Wings-Maple Leafs-
90 - 2025-02-01336Flames-Red Wings-
94 - 2025-02-05347Blackhawks-Red Wings-
97 - 2025-02-08354Blackhawks-Red Wings-
99 - 2025-02-10361Bruins-Red Wings-
100 - 2025-02-11365Red Wings-Lightning-
101 - 2025-02-12369Red Wings-Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603520200
Assistance29,22523,8529,91319,3894,802
Attendance PCT97.42%95.41%99.13%96.95%96.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 17436 - 96.87% 665,363$3,326,815$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
11,167,488$ 69,658,712$ 0$ 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
676,298$ 10,820,768$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
17,299,438$ 87 697,968$ 60,723,216$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
63,588,456$ 41,395,263$ -4,893,755$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
69,658,694$ 5,341,306$ 75,000,000$ 34,658,694$



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 Parse (R)AGE:25PO:87OV:77
Lauri KorpikoskiAGE:23PO:87OV:75
Justin Abdelkader (R)AGE: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
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 Stewart (R)AGE:24PO:87OV:72

Défense #1Défense #2Gardien
Mike GreenAGE:24PO:87OV:85
Nicklas LidstromAGE:39PO:87OV:84
Brad StuartAGE:30PO:87OV:83
Brian RafalskiAGE:36PO: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 Fraser (R)AGE:23PO:87OV:76
Andreas LiljaAGE:34PO:87OV:74
Jason Garrison (R)AGE:25PO:87OV:74
Derek MeechAGE:25PO:87OV:72
Doug JanikAGE:29PO:87OV:72
Jakub Kindl (R)AGE:22PO:87OV:68
Jimmy Howard (R)AGE:26PO:62OV:93
Josh HardingAGE:26PO:62OV:90
Chris OsgoodAGE:37PO:18OV:88
Devan Dubnyk (R)AGE: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
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
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
Petr MrazekRed Wings00
Riley SheahanRed Wings00
Sebastien PicheRed Wings00
Sergei KolosovRed Wings00
Teemu PulkkinenRed Wings00
Thomas McCollumRed Wings00
Tomas TatarRed Wings00
Travis EhrhardtRed Wings00
William CoetzeeRed 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

[11/19/2024 7:25:51 AM] - New Record for Team's Most Points (12) in 1 Game for Red Wings!
[11/19/2024 7:25:51 AM] - New Record for Team's Most Assists (8) in 1 Game for Red Wings!
[11/17/2024 7:24:06 AM] - New Record for Team's Most Shots (26) in 1 Game for Red Wings!
[11/16/2024 7:26:02 AM] - New Record for Team's Most Hits (13) in 1 Game for Red Wings!
[11/16/2024 7:26:02 AM] - New Record for Team's Most Penalties Minutes (14) in 1 Game for Red Wings!
[11/15/2024 7:29:54 AM] - New Record for Team's Most Shots (25) in 1 Game for Red Wings!
[11/13/2024 7:28:29 AM] - New Record for Team's Most Penalties Minutes (8) in 1 Game for Red Wings!
[11/12/2024 7:17:54 AM] - New Record for Team's Most Hits (10) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] - New Record for Team's Most Hits (8) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] - New Record for Team's Most Shots (22) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] - New Record for Team's Most Points (11) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] - New Record for Team's Most Assists (7) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] - New Record for Team's Most Goals (4) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] - New Record for Team's Most Hits (7) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] - New Record for Team's Most Penalties Minutes (6) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] - New Record for Team's Most Shots Blocked (7) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] - New Record for Team's Most Shots (12) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] - New Record for Team's Most Points (7) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] - New Record for Team's Most Assists (4) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] - New Record for Team's Most Goals (3) in 1 Game for Red Wings!
[10/16/2024 9:20:50 AM] - Jason Garrison was added to Red Wings.
[10/16/2024 9:20:27 AM] - Chris Thorburn was added to Red Wings.



[11/19/2024 7:25:51 AM] New Record for Team's Most Points (12) in 1 Game for Red Wings!
[11/19/2024 7:25:51 AM] New Record for Team's Most Assists (8) in 1 Game for Red Wings!
[11/17/2024 7:24:06 AM] New Record for Team's Most Shots (26) in 1 Game for Red Wings!
[11/16/2024 7:26:02 AM] New Record for Team's Most Hits (13) in 1 Game for Red Wings!
[11/16/2024 7:26:02 AM] New Record for Team's Most Penalties Minutes (14) in 1 Game for Red Wings!
[11/15/2024 7:29:54 AM] New Record for Team's Most Shots (25) in 1 Game for Red Wings!
[11/14/2024 7:28:00 AM] Farm Game #36 - Josh Bailey from Grand Rapids Griffins has scored a Hat Trick!
[11/14/2024 7:28:00 AM] Farm Game #36 - Kris Draper from Grand Rapids Griffins has scored a Hat Trick!
[11/13/2024 7:28:29 AM] New Record for Team's Most Penalties Minutes (8) in 1 Game for Red Wings!
[11/12/2024 7:17:54 AM] New Record for Team's Most Hits (10) in 1 Game for Red Wings!
[11/11/2024 7:26:39 AM] Last 7 Days Farm Star : 1 - Devan Dubnyk of Grand Rapids Griffins (0.984) / 2 - Michael Grabner of Norfolk Admirals (5-0-5) / 3 - Logan Couture of Worcester Sharks (4-0-4)
[11/11/2024 7:26:39 AM] Last 7 Days Pro Star : 1 - Michael Leighton of Flyers (0.979) / 2 - Tomas Holmstrom of Red Wings (3-1-4) / 3 - Cam Ward of Hurricanes (0.951)
[11/11/2024 7:26:37 AM] New Record for Team's Most Hits (8) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] New Record for Team's Most Shots (22) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] New Record for Team's Most Points (11) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] New Record for Team's Most Assists (7) in 1 Game for Red Wings!
[11/11/2024 7:26:37 AM] New Record for Team's Most Goals (4) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] New Record for Team's Most Hits (7) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] New Record for Team's Most Penalties Minutes (6) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] New Record for Team's Most Shots Blocked (7) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] New Record for Team's Most Shots (12) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] New Record for Team's Most Points (7) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] New Record for Team's Most Assists (4) in 1 Game for Red Wings!
[11/10/2024 7:15:21 AM] New Record for Team's Most Goals (3) 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