Connexion

Red Wings
GP: 64 | W: 34 | L: 28 | OTL: 2 | P: 70
GF: 200 | GA: 201 | PP%: 20.00% | PK%: 79.21%
DG: Simon-Pierre Gauthier | Morale : 61 | Moyenne d’équipe : 75
Prochains matchs #635 vs Lightning
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Centre de jeu
Canadiens
17-32-14, 48pts
3
FINAL
4 Red Wings
34-28-2, 70pts
Team Stats
OTL1SéquenceW2
11-17-4Fiche domicile19-11-1
6-15-10Fiche visiteur15-17-1
1-6-3Derniers 10 matchs5-5-0
2.56Buts par match 3.13
3.52Buts contre par match 3.14
23.03%Pourcentage en avantage numérique20.00%
86.85%Pourcentage en désavantage numérique79.21%
Red Wings
34-28-2, 70pts
3
FINAL
1 Capitals
30-27-5, 65pts
Team Stats
W2SéquenceL3
19-11-1Fiche domicile14-16-2
15-17-1Fiche visiteur16-11-3
5-5-0Derniers 10 matchs2-6-2
3.13Buts par match 3.18
3.14Buts contre par match 3.24
20.00%Pourcentage en avantage numérique18.33%
79.21%Pourcentage en désavantage numérique85.98%
Lightning
35-17-13, 83pts
Jour 96
Red Wings
34-28-2, 70pts
Statistiques d’équipe
W1SéquenceW2
15-10-6Fiche domicile19-11-1
20-7-7Fiche visiteur15-17-1
6-3-110 derniers matchs5-5-0
2.95Buts par match 3.13
2.69Buts contre par match 3.13
20.00%Pourcentage en avantage numérique20.00%
86.13%Pourcentage en désavantage numérique79.21%
Coyotes
36-20-9, 81pts
Jour 98
Red Wings
34-28-2, 70pts
Statistiques d’équipe
W1SéquenceW2
22-7-3Fiche domicile19-11-1
14-13-6Fiche visiteur15-17-1
5-4-110 derniers matchs5-5-0
3.34Buts par match 3.13
2.91Buts contre par match 3.13
25.00%Pourcentage en avantage numérique20.00%
81.41%Pourcentage en désavantage numérique79.21%
Red Wings
34-28-2, 70pts
Jour 99
Rangers
34-27-2, 70pts
Statistiques d’équipe
W2SéquenceOTL1
19-11-1Fiche domicile19-12-1
15-17-1Fiche visiteur15-15-1
5-5-010 derniers matchs3-6-1
3.13Buts par match 3.17
3.14Buts contre par match 3.17
20.00%Pourcentage en avantage numérique18.37%
79.21%Pourcentage en désavantage numérique75.44%
Meneurs d'équipe
Leon DraisaitlButs
Leon Draisaitl
27
Auston MatthewsPasses
Auston Matthews
42
Leon DraisaitlPoints
Leon Draisaitl
65
Brent BurnsPlus/Moins
Brent Burns
19
Darcy KuemperVictoires
Darcy Kuemper
25
Darcy KuemperPourcentage d’arrêts
Darcy Kuemper
0.905

Statistiques d’équipe
Buts pour
200
3.13 GFG
Tirs pour
2169
33.89 Avg
Pourcentage en avantage numérique
20.0%
34 GF
Début de zone offensive
38.2%
Buts contre
201
3.14 GAA
Tirs contre
2006
31.34 Avg
Pourcentage en désavantage numérique
79.2%%
42 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralSimon-Pierre Gauthier
EntraîneurJon Cooper
DivisionNord-Est
ConférenceEst
CapitaineBrent Burns
Assistant #1Victor Hedman
Assistant #2Steven Stamkos


Informations de l’aréna

NomLittle Caesars Arena
Capacité23,000
Assistance20,503
Billets de saison11,500


Informations de la formation

Équipe Pro20
Équipe Mineure26
Limite contact 46 / 50
Espoirs42


Plafond salarial Non Activé

Cap Salarial de la Saison estimé74,094,166$
Plafond salarial disponible1,868,917$
Valeur du plafond salarial spécial-6,750,000$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour43,398,317$
Dépenses annuelles à ce jour60,565,211$
Revenus de la saison estimés13,999,457$
Dépenses de la saison estimées21,744,987$
Compte bancaire actuel164,444,302$
Compte bancaire projeté156,698,772$


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
1Leon DraisaitlXX100.007143908876889795969697736173750778202747,000,000$
2Auston MatthewsX100.007645919282859191938695687071730778002517,000,000$
3Steven Stamkos (A)XX100.007644838571809892918789656184900747903226,000,000$
4Pavel BuchnevichXXX100.007343838674818584488888767568690787702714,000,000$
5Mats ZuccarelloXX100.006941898861859195388579638276800777603513,000,000$
6Brayden SchennXX100.008258828574798980818477714282860747503144,500,000$
7Rickard RakellXX100.008244938671799388417985598574750777502913,250,000$
8Patrik LaineXX100.006543908879807391418488608568680777502413,500,000$
9Jonathan ToewsX100.0059527780757779839975797648889506474034110,500,000$
10Brandon SaadXX100.006142948075749276447078753579840777203042,000,000$
11Michael RasmussenXX100.00865778758569856379777176256464077700231894,166$
12Barclay GoodrowXX100.008090807782679858726964812572760786902941,500,000$
13Victor Hedman (A)X100.007145749086929792258260826184920778003226,500,000$
14Brent Burns (C)X100.006543848687889981257262816395950777803715,000,000$
15Justin FaulkX100.007945878477889677257154832579820807603033,500,000$
16Jacob TroubaX100.009288788779839968256150882576770657602813,000,000$
17Rasmus AnderssonX100.006743898877909878257156847568690777502643,000,000$
18Sean DurziX100.007357808269799277256854812559600807202421,700,000$
Rayé
Équipe Mineure
1Gabriel VilardiXX100.006942907770728181467486645760610507102332,500,000$
2Matt NietoXX100.006541937967669362446268782576790506803011,000,000$
3Warren FoegeleXX100.00794487777363926550677176256770050680261900,000$
4Sonny MilanoXX100.006742908370648565257770602563630506702621,000,000$
5Cole PerfettiXX100.00694290796369627233807059255252050660202894,167$
6Rasmus KupariXXX100.00774493777056925680645769255960050640222863,333$
7Boris KatchoukX100.00805586726762776631655978255858050640242758,333$
8Alexander Holtz (R)XX100.00614187787056646625557057254646050600202894,167$
9Gustav ForslingX100.00714285796888947025666089256768050740261700,000$
10Jake Sanderson (R)X100.00674294867485677825674896255454050730203925,000$
11Marcus PetterssonX100.00856576816981876025664784256769050720261900,000$
12Jonas SiegenthalerX100.00784584767980925825554885256565050710251750,000$
13Danton HeinenXX100.00774393806957886535676271256970037660272900,000$
14Phillip Di GiuseppeX100.00824486767068726532657272256465050660293750,000$
15Egor Sokolov (R)X100.00808276688284896550636368604545050650223818,333$
16Klim KostinXX100.00939168748156795936647163255757050640232750,000$
17Hudson FaschingX100.00734493657663826331647267755959050640271737,500$
18Jansen HarkinsXX100.00694284676857876532596669256263050630252767,500$
19Jake Neighbours (R)X100.00807583727363706536596665254949050620203835,833$
20Adam Beckman (R)X100.00716389686378836250526862654545050610213894,167$
21William LockwoodX100.00934599676357745725585573254545050600243750,000$
22Anthony DeangeloX100.006972718467858486257060757568690347202714,500,000$
23Guillaume BriseboisX100.00674289686770605725504888255555050650252750,000$
24Lucas CarlssonX100.00737080717070726325535765545050050630251792,500$
MOYENNE D’ÉQUIPE100.0074518585778192825478747554767807676
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
1Darcy Kuemper100.00768784897379707679766967690827603223,000,000$
2James Reimer100.00647574836562696565648271720826803412,000,000$
Rayé
Équipe Mineure
1Kaapo Kahkonen100.0063666581656069606563435656050640262800,000$
2Kevin Lankinen100.0071555573786484737871955555050690271925,000$
MOYENNE D’ÉQUIPE100.007081798669717071727076697108272
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper9085918483851CAN5513,500,000$


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
1Leon DraisaitlRed WingsC/LW64273865-280801092437914911.11%19121719.034913281350002256057.98%12354622111.0725000563
2Auston MatthewsRed WingsC64174259-101009578225701397.56%16115218.015101520131000004053.69%13155617011.0225000631
3Patrik LaineRed WingsLW/RW64262753112070551915410013.61%20111217.3944814135000007329.51%613617000.9503000263
4Mats ZuccarelloRed WingsLW/RW64232447-1200104661887216212.23%20118618.537714141321013443128.57%704524010.7900000434
5Steven StamkosRed WingsC/LW6416294514359571176601179.09%20119518.68391220132000003049.21%634416000.7513010112
6Pavel BuchnevichRed WingsC/LW/RW64192443-1335585731576310112.10%34129320.2137101513110151431240.51%792914000.6601001223
7Jonathan ToewsRed WingsC65112233-84356810515143947.28%20100315.442810144500010791156.03%8373023000.6602100200
8Rickard RakellRed WingsLW/RW64102131820653215042866.67%671011.1000004000000237.50%24505000.8700000022
9Brent BurnsRed WingsD64425291942048908932494.49%84141622.132461616400002000%02057000.4100000112
10Victor HedmanRed WingsD6471623-1260082829740467.22%68145622.77549131640000118000%01360000.3200000102
11Brayden SchennRed WingsC/LW6414519651159447103314813.59%2082912.96000050113743246.12%2061413200.4600120124
12Rasmus AnderssonRed WingsD6431619-1012047878225333.66%71142222.2201111040005149100%01541000.2701000100
13Justin FaulkRed WingsD64414181727564966931315.80%76130520.401013103000042000%0946000.2800100021
14Brandon SaadRed WingsLW/RW64105151420435782404112.20%1966710.430000210151150342.86%212413000.4500000201
15Michael RasmussenRed WingsC/LW6483113120612764203212.50%94817.52000000000111036.36%11107010.4600000100
16Sean DurziRed WingsD6401111-328043694923230%57103416.16000000003178000%0530000.2100000000
17Barclay GoodrowRed WingsC/LW6436955570704622416.52%2765710.280000002251810045.98%4351215000.2700001000
18Jacob TroubaRed WingsD63055-1771591914322300%72110317.51000040000171000%0628000.0900111000
19Anthony DeangeloGrand Rapids (Det)D1130376048133323.08%815313.9900001300003100%003000.3900000001
20Jake SandersonGrand Rapids (Det)D1000-200000010%01616.750000000000000%01100000000000
Statistiques d’équipe totales ou en moyenne1164205333538194955513091313221877213269.24%6661941816.683663991581411336411344311453.00%4357465452340.55520443292829
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
1Darcy KuemperRed Wings51252220.9052.9929941011491569777410.867154915443
2James ReimerRed Wings159600.8853.458702050436225101.00031549010
Statistiques d’équipe totales ou en moyenne66342820.9013.0938651211992005100251186464453


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Auston MatthewsRed WingsC251997-09-16No220 Lbs6 ft3NoNoN/AYesYes1Pro & Farm7,000,000$7,000,000$1,804,688$No------------------Lien / Lien NHL
Barclay GoodrowRed WingsC/LW291993-02-25No215 Lbs6 ft2NoNoN/AYesYes4Pro & Farm1,500,000$1,500,000$386,719$No1,500,000$1,500,000$1,500,000$------NoNoNo------Lien / Lien NHL
Brandon SaadRed WingsLW/RW301992-10-26No206 Lbs6 ft1NoNoN/AYesYes4Pro & Farm2,000,000$2,000,000$515,625$No2,000,000$2,000,000$2,000,000$------NoNoNo------Lien / Lien NHL
Brayden SchennRed WingsC/LW311991-08-22No200 Lbs6 ft1NoNoN/AYesYes4Pro & Farm4,500,000$4,500,000$1,160,156$No4,000,000$3,750,000$3,500,000$------NoNoNo------Lien / Lien NHL
Brent BurnsRed WingsD371985-03-08No230 Lbs6 ft5NoNoN/AYesYes1Pro & Farm5,000,000$5,000,000$1,289,062$No------------------Lien / Lien NHL
Darcy KuemperRed WingsG321990-05-04No215 Lbs6 ft5NoNoN/AYesYes2Pro & Farm3,000,000$3,000,000$773,438$No3,000,000$--------No--------Lien / Lien NHL
Jacob TroubaRed WingsD281994-02-26No209 Lbs6 ft3NoNoN/AYesYes1Pro & Farm3,000,000$3,000,000$773,438$No------------------Lien / Lien NHL
James ReimerRed WingsG341988-03-15No220 Lbs6 ft2NoNoN/AYesYes1Pro & Farm2,000,000$2,000,000$515,625$No------------------Lien / Lien NHL
Jonathan ToewsRed WingsC341988-04-29No201 Lbs6 ft2NoNoTrade2024-02-16YesYes1Pro & Farm10,500,000$10,500,000$2,707,031$No------------------Lien / Lien NHL
Justin FaulkRed WingsD301992-03-20No217 Lbs6 ft0NoNoN/AYesYes3Pro & Farm3,500,000$3,500,000$902,344$No3,500,000$3,500,000$-------NoNo-------Lien / Lien NHL
Leon DraisaitlRed WingsC/LW271995-10-27No208 Lbs6 ft2NoNoN/AYesYes4Pro & Farm7,000,000$7,000,000$1,804,688$No7,250,000$7,500,000$8,000,000$------NoNoNo------Lien / Lien NHL
Mats ZuccarelloRed WingsLW/RW351987-08-31No178 Lbs5 ft8NoNoTrade2024-01-05YesYes1Pro & Farm3,000,000$3,000,000$773,438$No------------------Lien / Lien NHL
Michael RasmussenRed WingsC/LW231999-04-17No221 Lbs6 ft6NoNoTrade2023-12-29NoNo1Pro & Farm894,166$894,166$230,527$No------------------Lien / Lien NHL
Patrik LaineRed WingsLW/RW241998-04-19No206 Lbs6 ft5NoNoN/AYesYes1Pro & Farm3,500,000$3,500,000$902,344$No------------------Lien / Lien NHL
Pavel BuchnevichRed WingsC/LW/RW271995-04-17No197 Lbs6 ft3NoNoN/AYesYes1Pro & Farm4,000,000$4,000,000$1,031,250$No------------------Lien / Lien NHL
Rasmus AnderssonRed WingsD261996-10-27No214 Lbs6 ft1NoNoN/AYesYes4Pro & Farm3,000,000$3,000,000$773,438$No3,000,000$3,000,000$3,000,000$------NoNoNo------Lien / Lien NHL
Rickard RakellRed WingsLW/RW291993-05-05No196 Lbs6 ft0NoNoN/AYesYes1Pro & Farm3,250,000$3,250,000$837,891$No------------------Lien / Lien NHL
Sean DurziRed WingsD241998-10-21No188 Lbs6 ft0NoNoN/AYesYes2Pro & Farm1,700,000$1,700,000$438,281$No1,700,000$--------No--------Lien
Steven StamkosRed WingsC/LW321990-02-07No194 Lbs6 ft1NoNoN/AYesYes2Pro & Farm6,000,000$6,000,000$1,546,875$No6,000,000$--------No--------Lien / Lien NHL
Victor HedmanRed WingsD321990-12-18No229 Lbs6 ft6NoNoN/AYesYes2Pro & Farm6,500,000$6,500,000$1,675,781$No6,500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.45208 Lbs6 ft22.054,042,208$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
80,844,166$38,450,000$21,250,000$18,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steven StamkosLeon DraisaitlPatrik Laine38113
2Mats ZuccarelloAuston MatthewsPavel Buchnevich37113
3Brayden SchennJonathan ToewsRickard Rakell19122
4Michael RasmussenBarclay GoodrowBrandon Saad6122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJustin Faulk37122
2Victor HedmanRasmus Andersson35122
3Sean DurziJacob Trouba22122
4Brent BurnsJacob Trouba6221
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steven StamkosLeon DraisaitlPatrik Laine50005
2Pavel BuchnevichAuston MatthewsMats Zuccarello50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrent Burns60005
2Rasmus AnderssonJustin Faulk40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Barclay GoodrowPavel Buchnevich60140
2Jonathan ToewsBrandon Saad40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaSean Durzi60140
2Rasmus AnderssonVictor Hedman40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Barclay Goodrow52050Sean DurziBrent Burns60140
2Jonathan Toews48050Jacob TroubaRasmus Andersson40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Auston MatthewsSteven Stamkos50005
2Leon DraisaitlPavel Buchnevich50005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsRasmus Andersson50122
2Justin FaulkVictor Hedman50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Leon DraisaitlAuston MatthewsSteven StamkosBrent BurnsVictor Hedman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Leon DraisaitlJonathan ToewsSteven StamkosVictor HedmanBrent Burns
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brayden Schenn, Patrik Laine, Rickard RakellJonathan Toews, Rickard RakellBrayden Schenn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Trouba, Sean Durzi, Victor HedmanJacob TroubaRasmus Andersson, Victor Hedman
Tirs de pénalité
Auston Matthews, Leon Draisaitl, Patrik Laine, Steven Stamkos, Pavel Buchnevich
Gardien
#1 : Darcy Kuemper, #2 : James Reimer
Lignes d’attaque personnalisées en prolongation
Steven Stamkos, Auston Matthews, Leon Draisaitl, Brayden Schenn, Mats Zuccarello, Pavel Buchnevich, Pavel Buchnevich, Jonathan Toews, Rickard Rakell, Brandon Saad, Michael Rasmussen
Lignes de défense personnalisées en prolongation
Victor Hedman, Brent Burns, Justin Faulk, Jacob Trouba, Rasmus Andersson


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
1Blackhawks1010000014-3000000000001010000014-300.000123001000439161802610816200.00%4175.00%0766145952.50%743139953.11%51696253.64%2416208147
2Blue Jackets422000001011-1220000005232020000059-440.500101727001450126383850013036248010110.00%12375.00%0766145952.50%743139953.11%51696253.64%885284336733
3Blues21100000770110000004221010000035-220.50071118002230792520340612516503133.33%8275.00%0766145952.50%743139953.11%51696253.64%462638163418
4Canadiens75101000302284210100018153330000001275120.857304777001110812538294734205616014327518.52%25580.00%2766145952.50%743139953.11%51696253.64%161971416011961
5Canucks22000000514110000003031100000021141.000571201311065311717027986112325.00%40100.00%0766145952.50%743139953.11%51696253.64%472636183619
6Capitals4400000018117220000009632200000095481.00018325000675013742544101373131713133.33%12375.00%0766145952.50%743139953.11%51696253.64%865387346531
7Ducks320010001284110000004222100100086261.0001221330024519727422711013622579333.33%12191.67%1766145952.50%743139953.11%51696253.64%633763265225
8Flyers44000000191092200000010642200000094581.000192948006670148525541011730348213430.77%12283.33%0766145952.50%743139953.11%51696253.64%965875346734
9Golden Knights1010000025-3000000000001010000025-300.0002350002003514111002514223000%110.00%0766145952.50%743139953.11%51696253.64%2415187168
10Jets20101000440100010003211010000012-120.500481200030169233312156213931400.00%7185.71%0766145952.50%743139953.11%51696253.64%462842173517
11Kings211000006601010000024-21100000042220.500681400312068271427056201238400.00%6183.33%0766145952.50%743139953.11%51696253.64%452740163317
12Lightning2020000046-21010000012-11010000034-100.0004610000220581817230711814324125.00%70100.00%0766145952.50%743139953.11%51696253.64%392346193416
13Maple Leafs917001002336-13412001001519-450500000817-930.167234265009590297109979013221246017322313.64%25868.00%0766145952.50%743139953.11%51696253.64%1961171917715375
14Oilers21000010853100000103211100000053241.0008101800322170222919265198363133.33%40100.00%0766145952.50%743139953.11%51696253.64%462843163518
15Penguins30200010711-4100000105412020000027-520.33379160005118228401331033414658225.00%8187.50%0766145952.50%743139953.11%51696253.64%643668265226
16Rangers614000011825-7413000001116-52010000179-230.2501832500056712007263655187605011118211.11%25772.00%0766145952.50%743139953.11%51696253.64%131781305210249
17Senators934000202526-1513000101418-4421000101183100.55625366100561223089910310310284896218724625.00%26676.92%0766145952.50%743139953.11%51696253.64%1951151918016280
18Sharks1010000013-2000000000001010000013-200.0001231010003413111003388194125.00%40100.00%0766145952.50%743139953.11%51696253.64%2213208168
Total64272803141200201-13114110213010710073313170101193101-8700.547200322522115866698216973175467327200664547212751703420.00%2024279.21%3766145952.50%743139953.11%51696253.64%142785413415591103550
_Since Last GM Reset64272803141200201-13114110213010710073313170101193101-8700.547200322522115866698216973175467327200664547212751703420.00%2024279.21%3766145952.50%743139953.11%51696253.64%142785413415591103550
_Vs Conference48202201131154158-4251110011208888023912000116670-4500.52115425040400435156516095405614992315564833499441292519.38%1523576.97%2766145952.50%743139953.11%51696253.64%10606331016421825408
_Vs Division3110160112196109-131759011105868-101457000113841-3280.45296157253003027364105836235733120998334232614911617.58%1012674.26%2766145952.50%743139953.11%51696253.64%685408655272537266

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6470W220032252221692006645472127511
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6427283141200201
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3114112130107100
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
331317101193101
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1703420.00%2024279.21%3
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
731754673275866698
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
766145952.50%743139953.11%51696253.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
142785413415591103550


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
28Red Wings1Maple Leafs4ALSommaire du match
316Senators1Red Wings3BWSommaire du match
528Canadiens5Red Wings6BWXSommaire du match
739Red Wings3Senators2AWXXSommaire du match
848Maple Leafs5Red Wings4BLSommaire du match
954Red Wings1Penguins3ALSommaire du match
1068Red Wings1Penguins4ALSommaire du match
1176Rangers3Red Wings2BLSommaire du match
1281Red Wings5Canadiens3AWSommaire du match
1495Red Wings2Maple Leafs3ALSommaire du match
15105Rangers6Red Wings2BLSommaire du match
17117Senators4Red Wings3BLSommaire du match
18129Canadiens3Red Wings6BWSommaire du match
20139Red Wings1Senators3ALSommaire du match
21148Ducks2Red Wings4BWSommaire du match
24164Maple Leafs4Red Wings6BWSommaire du match
25169Red Wings1Maple Leafs2ALSommaire du match
26181Red Wings6Capitals4AWSommaire du match
27188Rangers1Red Wings4BWSommaire du match
28202Blue Jackets1Red Wings2BWSommaire du match
29213Blues2Red Wings4BWSommaire du match
31219Red Wings2Blue Jackets4ALSommaire du match
32231Red Wings4Kings2AWSommaire du match
34241Maple Leafs5Red Wings4BLXSommaire du match
36252Red Wings3Blue Jackets5ALSommaire du match
37257Red Wings3Lightning4ALSommaire du match
38268Red Wings4Ducks3AWSommaire du match
39276Senators4Red Wings0BLSommaire du match
40287Red Wings1Jets2ALSommaire du match
42296Oilers2Red Wings3BWXXSommaire du match
44309Capitals3Red Wings4BWSommaire du match
46320Red Wings2Flyers1AWSommaire du match
47328Capitals3Red Wings5BWSommaire du match
50341Lightning2Red Wings1BLSommaire du match
51348Red Wings3Canadiens2AWSommaire du match
53362Canadiens4Red Wings2BLSommaire du match
54370Red Wings4Senators2AWSommaire du match
56382Flyers4Red Wings5BWSommaire du match
57392Red Wings7Flyers3AWSommaire du match
58401Red Wings1Blackhawks4ALSommaire du match
60409Penguins4Red Wings5BWXXSommaire du match
63420Red Wings2Canucks1AWSommaire du match
64427Red Wings2Maple Leafs5ALSommaire du match
66434Flyers2Red Wings5BWSommaire du match
69445Red Wings2Maple Leafs3ALSommaire du match
70454Rangers6Red Wings3BLSommaire du match
71465Red Wings4Ducks3AWXSommaire du match
72473Senators4Red Wings5BWXXSommaire du match
74487Blue Jackets1Red Wings3BWSommaire du match
75491Red Wings4Rangers5ALXXSommaire du match
78506Red Wings3Blues5ALSommaire du match
79509Red Wings3Rangers4ALSommaire du match
80516Canucks0Red Wings3BWSommaire du match
82530Red Wings4Canadiens2AWSommaire du match
83538Maple Leafs5Red Wings1BLSommaire du match
84551Jets2Red Wings3BWXSommaire du match
85562Red Wings3Senators1AWSommaire du match
86571Senators5Red Wings3BLSommaire du match
87582Red Wings5Oilers3AWSommaire du match
89591Kings4Red Wings2BLSommaire du match
90601Red Wings2Golden Knights5ALSommaire du match
91609Red Wings1Sharks3ALSommaire du match
92617Canadiens3Red Wings4BWSommaire du match
94626Red Wings3Capitals1AWSommaire du match
96635Lightning-Red Wings-
98652Coyotes-Red Wings-
99663Red Wings-Rangers-
101668Red Wings-Canadiens-
102675Sharks-Red Wings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
105692Ducks-Red Wings-
107707Red Wings-Rangers-
109714Blackhawks-Red Wings-
110729Penguins-Red Wings-
111732Red Wings-Coyotes-
112735Red Wings-Penguins-
115751Red Wings-Coyotes-
116757Golden Knights-Red Wings-
118772Ducks-Red Wings-
119778Red Wings-Lightning-
121788Red Wings-Blue Jackets-
122797Penguins-Red Wings-
126816Golden Knights-Red Wings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité70005000450050001500
Prix des billets7056251285
Assistance180,332146,946126,635141,58640,109
Attendance PCT83.10%94.80%90.78%91.35%86.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 20503 - 89.15% 1,399,946$43,398,317$23000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
60,565,211$ 80,844,166$ 80,469,166$ 0$ -6,750,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
80,844,166$ 57,967,534$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
13,999,457$ 33 658,939$ 21,744,987$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
21,744,987$ 164,444,302$ 156,698,772$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,094,166$ 1,868,917$ 75,963,083$ 17,121,854$



Charte de profondeur

Ailier gaucheCentreAilier droit
Leon DraisaitlAGE:27PO:0OV:82
Steven StamkosAGE:32PO:0OV:79
Pavel BuchnevichAGE:27PO:0OV:77
Mats ZuccarelloAGE:35PO:0OV:76
Brayden SchennAGE:31PO:0OV:75
Rickard RakellAGE:29PO:0OV:75
Patrik LaineAGE:24PO:0OV:75
Brandon SaadAGE:30PO:0OV:72
Michael RasmussenAGE:23PO:0OV:70
Barclay GoodrowAGE:29PO:0OV:69
Matt NietoAGE:30PO:0OV:68
Warren FoegeleAGE:26PO:0OV:68
Sonny MilanoAGE:26PO:0OV:67
Danton HeinenAGE:27PO:0OV:66
Cole PerfettiAGE:20PO:0OV:66
Phillip Di GiuseppeAGE:29PO:0OV:66
Egor Sokolov (R)AGE:22PO:0OV:65
Rasmus KupariAGE:22PO:0OV:64
Klim KostinAGE:23PO:0OV:64
Boris KatchoukAGE:24PO:0OV:64
Jansen HarkinsAGE:25PO:0OV:63
Jake Neighbours (R)AGE:20PO:0OV:62
Adam Beckman (R)AGE:21PO:0OV:61
Alexander Holtz (R)AGE:20PO:0OV:60
Leon DraisaitlAGE:27PO:0OV:82
Auston MatthewsAGE:25PO:0OV:80
Steven StamkosAGE:32PO:0OV:79
Pavel BuchnevichAGE:27PO:0OV:77
Brayden SchennAGE:31PO:0OV:75
Jonathan ToewsAGE:34PO:0OV:74
Gabriel VilardiAGE:23PO:0OV:71
Michael RasmussenAGE:23PO:0OV:70
Barclay GoodrowAGE:29PO:0OV:69
Cole PerfettiAGE:20PO:0OV:66
Rasmus KupariAGE:22PO:0OV:64
Jansen HarkinsAGE:25PO:0OV:63
Pavel BuchnevichAGE:27PO:0OV:77
Mats ZuccarelloAGE:35PO:0OV:76
Rickard RakellAGE:29PO:0OV:75
Patrik LaineAGE:24PO:0OV:75
Brandon SaadAGE:30PO:0OV:72
Gabriel VilardiAGE:23PO:0OV:71
Matt NietoAGE:30PO:0OV:68
Warren FoegeleAGE:26PO:0OV:68
Sonny MilanoAGE:26PO:0OV:67
Danton HeinenAGE:27PO:0OV:66
Rasmus KupariAGE:22PO:0OV:64
Klim KostinAGE:23PO:0OV:64
Hudson FaschingAGE:27PO:0OV:64
Alexander Holtz (R)AGE:20PO:0OV:60
William LockwoodAGE:24PO:0OV:60

Défense #1Défense #2Gardien
Victor HedmanAGE:32PO:0OV:80
Brent BurnsAGE:37PO:0OV:78
Justin FaulkAGE:30PO:0OV:76
Jacob TroubaAGE:28PO:0OV:76
Rasmus AnderssonAGE:26PO:0OV:75
Gustav ForslingAGE:26PO:0OV:74
Jake Sanderson (R)AGE:20PO:0OV:73
Marcus PetterssonAGE:26PO:0OV:72
Sean DurziAGE:24PO:0OV:72
Anthony DeangeloAGE:27PO:0OV:72
Jonas SiegenthalerAGE:25PO:0OV:71
Guillaume BriseboisAGE:25PO:0OV:65
Lucas CarlssonAGE:25PO:0OV:63
Darcy KuemperAGE:32PO:0OV:76
Kevin LankinenAGE:27PO:0OV:69
James ReimerAGE:34PO:0OV:68
Kaapo KahkonenAGE:26PO:0OV:64

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
Akil ThomasRed Wings2647
Alfons MalmstromRed Wings2494
Andrei AltybarmakyanRed Wings25102
Chase StillmanRed Wings2946
Chris BigrasRed Wings00
Damien RiatRed Wings24105
Dmitry SemykinRed Wings26116
Dustin ByfuglienRed Wings00Lien
Felix NilssonRed Wings3159
Gustaf FranzenRed Wings2172
Helge GransRed Wings2839
Hunter ShinkarukRed Wings00
Ian McCoshenRed Wings00Lien
Ivan ChekhovichRed Wings00
Jesper LindgrenRed Wings22117
Jesse KiiskinenRed Wings3199
Jonathan AngRed Wings2485
Jonathan JohanssonRed Wings1530
Kasper BjorkqvistRed Wings2445
Kole LindRed Wings00
Liam OhgrenRed Wings3013
Linus NassenRed Wings2483
Luke TuchRed Wings2836
Mark BarberioRed Wings00
Nico GrossRed Wings26133
Nico MyatovicRed Wings3139
Nikita PopugaevRed Wings2562
Olli JuoleviRed Wings245Lien
Olof LindbonRed Wings2655
Oscar DanskRed Wings00
Parker WhoterspoonRed Wings2281
Patrick MarleauRed Wings00Lien
Paul LudwinskiRed Wings3065
Redmond SavageRed Wings29127
Reilly WalshRed Wings25122
Ryan ChesleyRed Wings3033
Ryan PilonRed Wings22101
Tim HeedRed Wings00
Ty EmbersonRed Wings2693
Will ButcherRed Wings00Lien
Yegor SidorovRed Wings31119
Zachary FucaleRed Wings2030

Choix au repêchage

Année R1R2R3R4R5R6R7
32
33
34
35
36
Choix au repêchage conditionnel



Wayne Gretzky refuse de commenter la saga Travis Zajac

Par Keven Breton (Blue Jackets) Le Tuesday 1st March 2022 / 5:21pm

Peut-être la parabole la plus connue de l'histoire du hockey : « Si Wayne Gretzky a pu être échangé, tout le monde peut »

Une phrase que l'on retrouve sur plusieurs lèvres, à quelques heures de la date limite des transactions, alors que la destination de Travis Zajac, la commodité la plus en vue sur le marché, est toujours inconnue. 

Ce qui paraissait il y a quelques mois impensable est pourtant sur le point de se réaliser : le joueur de centre devrait changer d'équipe au cours des prochaines heures. Mais la légende Wayne Gretzky, qui est passé par un épisode semblable dans les années 1980, en transférant d'Edmonton vers Los Angeles, refuse de commenter le dossier.

« J'ai beaucoup de respect pour Travis en tant que joueur et en tant que personne, mais également pour Alexandre, le directeur général des Flyers, et je n'apposerai aucun commentaire pour le moment. » 

Yan Bilodeau, qui a lui-même déjà échangé Sidney Crosby, a accepté de discuter de la saga. « Quand tu échanges Crosby, tu sais que tu vas être perdant, peu importe le retour. Je pense que les Flyers sont un peu dans la même situation avec Zajac. »

Zajac, 35 ans, est fort d'une saison de 47 point qu'il a connu en 2017 avec les Sabres.

Voir commentaires (2)
Mathieu Bouillon (Blackhawks) Le 2nd March / 1:22pm :

Et bien on avais besoin d'un centre a Chicago , et il viendra y finir sa carriere avec les jeune ! Vive Zajac ! 

Keven Breton (Blue Jackets) Le 2nd March / 3:06pm :

Coup de théâtre!

Nouveau commentaire

Le comptable de Chicago sous enquête !!!

Par Mathieu Bouillon (Blackhawks) Le Thursday 3rd December 2020 / 11:45pm

D'apres les informations recu ! 

Le comptable des Hawks sera viré de ses fonctions dans les prochaines heures. Les faits nous confirme qu'il aurais voulu blanchir de l'argent sur le nom de l'équipe et surtout en incluant des clauses le favorisant dans sont développement des ressources de l'équipe.Les fais nous apporte que Bouillon a du transiger en ce debut d'année pour etre certains que le plafond sois de mise suite au avertissement du commissaire.

-Vlasic et Monahan on ete le prix a payer pour arrivé a la limite salarial! J'ai ce que je voulais pour eux ... mais j'aurais jamais transigé pour eux avoir eu les moyen ! Dit le Dg 

-Nous devons passé a autre chose et finir cette saison en force ! souhaite Bouillon , je commenterai sur les nouvelles acquistions qui nous ferons que du bien dans les prochains jours ! 

Bienvunue a Chicago ! HAhahahahahhah ! 

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Red Wings Historique de transactions

[2024-02-22 23:42:18] - New Record for Team's Most Penalties Minutes (33) in 1 Game for Red Wings!
[2024-02-16 22:50:37] - TRADE : From Red Wings to Golden Knights : Phil Kessel (69), Ryker Evans (P), Y:32-RND:7-Det.
[2024-02-16 22:50:37] - TRADE : From Golden Knights to Red Wings : Jonathan Toews (74), Luke Tuch (P), Redmond Savage (P).
[2024-01-30 22:54:55] - Anthony Deangelo was added to Red Wings.
[2024-01-30 22:54:55] - Red Wings claimed Anthony Deangelo from waivers by Blue Jackets for $50,000.
[2024-01-29 22:23:19] - Red Wings show interest in Anthony Deangelo from waiver.
[2024-01-28 23:37:04] - Danton Heinen signed with Red Wings for $900,000 for 2 year(s).
[2024-01-28 23:37:04] - Danton Heinen was added to Red Wings.
[2024-01-28 23:36:28] - Steven Stamkos has been selected as assistant for Red Wings.
[2024-01-28 23:36:26] - Unknown Player is no longer as assistant for Red Wings.
[2024-01-28 23:36:22] - Victor Hedman has been selected as assistant for Red Wings.
[2024-01-28 23:36:21] - Unknown Player is no longer as assistant for Red Wings.
[2024-01-28 23:36:12] - Brent Burns has been selected as the team Captain for the Red Wings.
[2024-01-28 23:36:10] - Unknown Player is no longer captain for Red Wings.
[2024-01-10 13:37:33] - Joel Edmundson signed with Red Wings for $1,725,000 for 1 year(s).
[2024-01-10 13:37:33] - Joel Edmundson was added to Red Wings.
[2024-01-05 15:56:40] - TRADE : From Oilers to Red Wings : Mats Zuccarello (76), $1,500,000 (Salary Cap Year 1).
[2024-01-05 15:56:40] - TRADE : From Red Wings to Oilers : Y:32-RND:3-Det.
[2024-01-03 00:11:20] - Martin Kaut was released by Red Wings
[2023-12-31 13:49:54] - Patrice Bergeron was released.
[2023-12-31 13:49:54] - Patrice Bergeron retired from Red Wings
[2023-12-29 00:32:09] - TRADE : From Blackhawks to Red Wings : Michael Rasmussen (70), Y:34-RND:4-Chi.
[2023-12-29 00:32:09] - TRADE : From Red Wings to Blackhawks : Kevin Bahl (64), Philippe Myers (67).
[2023-12-20 14:16:54] - Phillip Di Giuseppe was added to Red Wings.
[2023-12-20 14:16:54] - William Lockwood was added to Red Wings.
[2023-12-20 14:16:54] - Egor Sokolov was added to Red Wings.
[2023-12-20 14:16:54] - Adam Beckman was added to Red Wings.
[2023-12-20 14:16:54] - Jake Neighbours was added to Red Wings.
[2023-12-20 14:16:54] - Jake Sanderson was added to Red Wings.
[2023-12-20 14:00:14] - Patrik Laine signed with Red Wings for $3,500,000 for 1 year(s).
[2023-12-20 14:00:14] - Patrik Laine was added to Red Wings.



[2024-04-12 23:22:55] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:184.144.242.135 .
[2024-04-09 22:14:56] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:2001:56b:de8e:8500:2d91:ac7f:6814:448a .
[2024-04-08 22:34:16] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:2001:56b:de8e:8500:6c77:db0e:f842:1f9b .
[2024-04-06 23:51:26] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:2001:56b:de8e:8500:f492:f220:cbf8:c69e .
[2024-04-02 22:13:56] Pro Game #516 - Mats Zuccarello from Red Wings has scored a Hat Trick!
[2024-04-01 22:30:58] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:70.55.172.220 .
[2024-03-25 22:29:15] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:24.37.132.170 .
[2024-03-24 22:09:53] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:184.144.242.131 .
[2024-03-23 23:27:02] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:2001:56b:dc1a:c800:35b7:94f2:1020:cad5 .
[2024-03-10 22:59:45] Pro Game #392 - Michael Rasmussen from Red Wings has scored a Hat Trick!
[2024-03-05 22:00:46] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:2001:56b:de4a:b700:7508:18fe:c7a6:af82 .
[2024-03-04 22:53:06] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database from IP:2001:56b:de8e:8500:561f:5734:461d:cacc .



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