Connexion

Red Wings
GP: 22 | W: 19 | L: 2 | OTL: 1 | P: 39
GF: 95 | GA: 58 | PP%: 22.67% | PK%: 84.38%
DG: Simon-Pierre Gauthier | Morale : 75 | Moyenne d’équipe : 76
Prochains matchs #227 vs Golden Knights
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Centre de jeu
Ducks
17-5-0, 34pts
2
FINAL
4 Red Wings
19-2-1, 39pts
Team Stats
W1StreakW5
8-3-0Home Record11-1-0
9-2-0Away Record8-1-1
8-2-0Last 10 Games9-1-0
3.68Buts par match 4.32
2.55Buts contre par match 2.64
21.43%Pourcentage en avantage numérique22.67%
81.33%Pourcentage en désavantage numérique84.38%
Canucks
10-12-0, 20pts
5
FINAL
6 Red Wings
19-2-1, 39pts
Team Stats
L5StreakW5
4-7-0Home Record11-1-0
6-5-0Away Record8-1-1
3-7-0Last 10 Games9-1-0
3.86Buts par match 4.32
3.18Buts contre par match 2.64
31.94%Pourcentage en avantage numérique22.67%
82.86%Pourcentage en désavantage numérique84.38%
Red Wings
19-2-1, 39pts
2023-01-23
Golden Knights
3-19-0, 6pts
Statistiques d’équipe
W5SéquenceSOW1
11-1-0Fiche domicile2-9-0
8-1-1Fiche visiteur1-10-0
9-1-010 derniers matchs2-8-0
4.32Buts par match 1.09
2.64Buts contre par match 1.09
22.67%Pourcentage en avantage numérique11.59%
84.38%Pourcentage en désavantage numérique84.88%
Red Wings
19-2-1, 39pts
2023-01-25
Ducks
17-5-0, 34pts
Statistiques d’équipe
W5SéquenceW1
11-1-0Fiche domicile8-3-0
8-1-1Fiche visiteur9-2-0
9-1-010 derniers matchs8-2-0
4.32Buts par match 3.68
2.64Buts contre par match 3.68
22.67%Pourcentage en avantage numérique21.43%
84.38%Pourcentage en désavantage numérique81.33%
Maple Leafs
13-9-1, 27pts
2023-01-27
Red Wings
19-2-1, 39pts
Statistiques d’équipe
L1SéquenceW5
6-5-0Fiche domicile11-1-0
7-4-1Fiche visiteur8-1-1
5-4-110 derniers matchs9-1-0
2.61Buts par match 4.32
2.39Buts contre par match 4.32
13.85%Pourcentage en avantage numérique22.67%
88.73%Pourcentage en désavantage numérique84.38%
Meneurs d'équipe
Steven StamkosButs
Steven Stamkos
16
Auston MatthewsPasses
Auston Matthews
23
Leon DraisaitlPoints
Leon Draisaitl
36
Leon DraisaitlPlus/Moins
Leon Draisaitl
17
Darcy KuemperVictoires
Darcy Kuemper
13
Darcy KuemperPourcentage d’arrêts
Darcy Kuemper
0.938

Statistiques d’équipe
Buts pour
95
4.32 GFG
Tirs pour
781
35.50 Avg
Pourcentage en avantage numérique
22.7%
17 GF
Début de zone offensive
39.3%
Buts contre
58
2.64 GAA
Tirs contre
681
30.95 Avg
Pourcentage en désavantage numérique
84.4%
10 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralSimon-Pierre Gauthier
EntraîneurJon Cooper
DivisionNord-Est
ConférenceEst
CapitainePatrice Bergeron
Assistant #1
Assistant #2Brent Burns


Informations de l’aréna

NomLittle Caesars Arena
Capacité23,000
Assistance21,143
Billets de saison11,500


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 50
Espoirs39


Plafond salarial

Cap Salarial de la Saison estimé75,100,000$
Plafond salarial disponible514,821$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour17,408,333$
Dépenses annuelles à ce jour23,885,754$
Revenus de la saison estimés42,070,138$
Dépenses de la saison estimées54,550,731$
Compte bancaire actuel187,535,823$
Compte bancaire projeté175,055,230$


Historique d'équipe

Saison actuelle19-2-1 (39PTS)
Historique0-0-0
Apparitions en séries éliminatoires
Historique en séries éliminatoires (W-L)-


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 DraisaitlXX100.006943858876909493948998767071720808202616,500,000$
2Steven StamkosXX100.007644868571798591909295666181860808003136,000,000$
3Auston MatthewsX100.007344919282858888978799716169710788002426,750,000$
4Patrice Bergeron (C)X100.007644868572788991998485765990980807903634,500,000$
5Pavel BuchnevichXX100.007143868674788979368788782566660757602612,000,000$
6Patrik LaineXX100.006743878877797788388491638066660807602314,000,000$
7Max PaciorettyX100.007158768280766980318192615380840777403313,500,000$
8Rickard RakellXXX100.007944948671788779437580628571710807302812,800,000$
9Brandon SaadXX100.006142958075738775377682763577820807302912,000,000$
10Dylan StromeXX100.005941877976768080907983652567670807202433,700,000$
11Phil KesselX100.005741858373749581348459675989890807203422,600,000$
12Barclay GoodrowXX100.008168767776759363807070852570740747102811,000,000$
13Victor HedmanX100.007646869091939493258164866181880778203136,500,000$
14Brent Burns (A)X100.006944858687969580257353956693930828103625,000,000$
15Ryan McDonaghX100.007945928678868661256448952578860817703224,000,000$
16Justin FaulkX100.008556838478889273256961802577790807602943,500,000$
17Jacob TroubaX100.009193708780868569256656872574740587602723,000,000$
18Rasmus AnderssonX100.007143898877869481257448822565650807502511,250,000$
Rayé
1Joel EdmundsonX100.009071617885796559255054892568720567202811,500,000$
Équipe Mineure
1Sonny MilanoX100.00634194837070647625757260255959050670251863,333$
2Matthew NietoXX100.007944918169687560306359802571710506602921,000,000$
3Warren FoegeleXX100.00804490777363936540636868256567050660252900,000$
4Gabriel VilardiXX100.00594189777666857063587265255555050650221894,167$
5Cole Perfetti (R)XX100.00734399796667616826736060254545050630203894,167$
6Rasmus Kupari (R)XX100.00774389776862815860625965255151050620213863,333$
7Boris Katchouk (R)X100.00885781727756716136575774255050050620233758,333$
8Alexander Holtz (R)X100.00674292787062627025675569254444053620193894,167$
9Martin KautX100.00726783806763646250536663634545050610221863,333$
10Kole Lind (R)X100.00714286676661676137725965254646050610233850,000$
11Gustav ForslingX100.00674291796883836025685690256465050720252700,000$
12Sean Durzi (R)X100.007775768270788475256848812551510507002331,700,000$
13Jonas SiegenthalerX100.00796582768081686225544789256262050700242750,000$
14Marcus PetterssonX100.00824484817169856425584872256566050680252900,000$
15Philippe MyersX100.00844686808166696025494875255959050670243750,000$
16Kevin Bahl (R)X100.00814683688868786025534878254646050660213795,000$
17Will ButcherX100.00614199846870596425524865256464050640262925,000$
18Jansen HarkinsXX100.00695293676854775857555965256162050600241767,500$
19Klim Kostin (R)XX100.00885983747953585844615961254949050600223750,000$
20Hudson FaschingX100.00804499657455625525505567755555050580262737,500$
21Lucas CarlssonX100.00754391717060655725514964255050050610242792,500$
22Olli JuoleviX100.00714389746961536225394767254747050600232863,333$
23Guillaume Brisebois (R)X100.00716780686751534825394161395252050560243750,000$
MOYENNE D’ÉQUIPE100.0074508485788287795077747747757807776
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 Kuemper100.00877876898886888588876266670448203133,000,000$
2James Reimer100.00737070836977717481748070710687303322,000,000$
Rayé
Équipe Mineure
1Kaapo Kahkonen100.0077656381817483788277855151050730251725,000$
2Kevin Lankinen100.0062737073655883656562955252052650262925,000$
3Zachary Fucale (R)100.0049415174495155565555954444056530263750,000$
MOYENNE D’ÉQUIPE100.008074738679828080858171686905678
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper84919076827667CAN5523,500,000$


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/LW221521361760333094213515.96%1145620.754596570110562020.75331613001.5800000511
2Steven StamkosRed WingsC/RW2216183416140332474275021.62%539217.824591255000072217.8227138101.7300000242
3Patrice BergeronRed WingsC221222341680333974254116.22%1244520.262465541012471020.26472128111.5300000431
4Auston MatthewsRed WingsC21923321220243055233516.36%736017.18279553000003017.1844692001.7700000232
5Patrik LaineRed WingsLW/RW221217291240221187244913.79%537617.10033854000002017.1020122001.5400000232
6Max PaciorettyRed WingsLW2261218111355095292411.54%437517.07134453000003017.072336000.9600010101
7Dylan StromeRed WingsC/RW221892201519479362.13%327412.4900002000000012.4920077000.6600000000
8Brent BurnsRed WingsD222793175193220111710.00%3652323.82246666000361000.00%0720000.3400100000
9Pavel BuchnevichRed WingsLW/RW15538340171733162615.15%720113.42000030000112013.42984000.7900000000
10Victor HedmanRed WingsD22167511521283316143.03%2651223.32112566000052000.00%0412000.2700010000
11Justin FaulkRed WingsD222571712023272112119.52%1242619.3710124500008200.00%025000.3300000110
12Phil KesselRed WingsRW22617280252138123015.79%428112.8100002000031012.811648000.5000000000
13Rickard RakellRed WingsC/LW/RW223362001810389227.89%52059.330000100005009.33741000.5800000001
14Jacob TroubaRed WingsD22246-644103635259148.00%3649522.54011231000058000.00%0314000.2400002000
15Ryan McDonaghRed WingsD220551695204317390.00%2942919.5400002000040000.00%1213000.2300001000
16Rasmus AnderssonRed WingsD22145800122417885.88%1334615.7600014500001100.00%018000.2900000001
17Brandon SaadRed WingsLW/RW2214512011183911182.56%72109.5600000000035009.56653000.4800000000
18Barclay GoodrowRed WingsC/LW19224-12022231221016.67%620610.84000020001440010.848505000.3900000000
19Joel EdmundsonRed WingsD120110235211511730.00%1918515.4800000000022000.00%004000.1100001000
20Alexander HoltzGrand Rapids (Det)RW7011-300513130.00%1598.570000000000000.00%000000.3300000000
Statistiques d’équipe totales ou en moyenne404961672631331813546045679025545512.15%248676716.7517335056599112645919256.21%1345112143210.7800124171511
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 Wings1613100.9381.898270126418172010.00%0152211
2James ReimerRed Wings63000.8893.56202001210862000.00%0314000
3Zachary FucaleGrand Rapids (Det)32000.8972.811280065840000.00%014000
4Kevin LankinenGrand Rapids (Det)31110.8654.7916300139659000.00%032000
Statistiques d’équipe totales ou en moyenne2819210.9162.59132101576803330102222211


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial 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 10Link
Auston MatthewsRed WingsC241997-09-16No220 Lbs6 ft3NoNoYes2Pro & Farm6,750,000$6,750,000$4,684,701$No7,000,000$Lien / Lien NHL
Barclay GoodrowRed WingsC/LW281993-02-25No203 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$694,030$NoLien / Lien NHL
Brandon SaadRed WingsLW/RW291992-10-26No206 Lbs6 ft1NoNoYes1Pro & Farm2,000,000$2,000,000$1,388,060$NoLien / Lien NHL
Brent BurnsRed WingsD361985-03-08No230 Lbs6 ft5NoNoYes2Pro & Farm5,000,000$5,000,000$3,470,149$No5,000,000$Lien / Lien NHL
Darcy KuemperRed WingsG311990-05-04No215 Lbs6 ft5NoNoYes3Pro & Farm3,000,000$3,000,000$2,082,090$No3,000,000$3,000,000$Lien / Lien NHL
Dylan StromeRed WingsC/RW241997-03-07No200 Lbs6 ft3NoNoYes3Pro & Farm3,700,000$3,700,000$2,567,910$No3,700,000$3,700,000$Lien / Lien NHL
Jacob TroubaRed WingsD271994-02-26No209 Lbs6 ft3NoNoYes2Pro & Farm3,000,000$3,000,000$2,082,090$No3,000,000$Lien / Lien NHL
James ReimerRed WingsG331988-03-15No220 Lbs6 ft2NoNoYes2Pro & Farm2,000,000$2,000,000$1,388,060$No2,000,000$Lien / Lien NHL
Joel EdmundsonRed WingsD281993-06-28No227 Lbs6 ft4NoNoYes1Pro & Farm1,500,000$1,500,000$1,041,045$NoLien / Lien NHL
Justin FaulkRed WingsD291992-03-20No217 Lbs6 ft0NoNoYes4Pro & Farm3,500,000$3,500,000$2,429,104$No3,500,000$3,500,000$3,500,000$Lien / Lien NHL
Leon DraisaitlRed WingsC/LW261995-10-27No208 Lbs6 ft2NoNoYes1Pro & Farm6,500,000$6,500,000$4,511,194$NoLien / Lien NHL
Max PaciorettyRed WingsLW331988-11-20No215 Lbs6 ft2NoNoYes1Pro & Farm3,500,000$3,500,000$2,429,104$NoLien / Lien NHL
Patrice BergeronRed WingsC361985-07-24No195 Lbs6 ft1NoNoYes3Pro & Farm4,500,000$4,500,000$3,123,134$No4,500,000$4,500,000$Lien / Lien NHL
Patrik LaineRed WingsLW/RW231998-04-19No201 Lbs6 ft4NoNoNo1Pro & Farm4,000,000$4,000,000$2,776,119$NoLien / Lien NHL
Pavel BuchnevichRed WingsLW/RW261995-04-17No197 Lbs6 ft3NoNoYes1Pro & Farm2,000,000$2,000,000$1,388,060$NoLien / Lien NHL
Phil KesselRed WingsRW341987-10-02No202 Lbs6 ft0NoNoYes2Pro & Farm2,600,000$2,600,000$1,804,478$No2,600,000$Lien / Lien NHL
Rasmus AnderssonRed WingsD251996-10-27No214 Lbs6 ft1NoNoNo1Pro & Farm1,250,000$1,250,000$867,537$NoLien / Lien NHL
Rickard RakellRed WingsC/LW/RW281993-05-05No196 Lbs6 ft0NoNoYes1Pro & Farm2,800,000$2,800,000$1,943,284$NoLien / Lien NHL
Ryan McDonaghRed WingsD321989-06-13No215 Lbs6 ft1NoNoYes2Pro & Farm4,000,000$4,000,000$2,776,119$No4,000,000$Lien / Lien NHL
Steven StamkosRed WingsC/RW311990-02-07No193 Lbs6 ft1NoNoYes3Pro & Farm6,000,000$6,000,000$4,164,179$No6,000,000$6,000,000$Lien / Lien NHL
Victor HedmanRed WingsD311990-12-18No241 Lbs6 ft6NoNoYes3Pro & Farm6,500,000$6,500,000$4,511,194$No6,500,000$6,500,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.24211 Lbs6 ft21.903,576,190$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,100,000$50,800,000$27,200,000$3,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Leon DraisaitlAuston MatthewsSteven Stamkos32113
2Max PaciorettyPatrice BergeronPatrik Laine32113
3Pavel BuchnevichDylan StromePhil Kessel24113
4Brandon SaadBarclay GoodrowRickard Rakell12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsVictor Hedman35122
2Justin FaulkJacob Trouba32122
3Ryan McDonaghRasmus Andersson28131
4Ryan McDonaghJacob Trouba5221
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Leon DraisaitlAuston MatthewsSteven Stamkos50005
2Max PaciorettyPatrice BergeronPatrik Laine50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrent Burns60005
2Rasmus AnderssonJustin Faulk40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Patrice BergeronLeon Draisaitl55140
2Barclay GoodrowBrandon Saad45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaBrent Burns55140
2Ryan McDonaghVictor Hedman45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Patrice Bergeron55050Jacob TroubaBrent Burns50140
2Barclay Goodrow45050Ryan McDonaghVictor Hedman50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Auston MatthewsSteven Stamkos50005
2Patrice BergeronLeon Draisaitl50005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsVictor Hedman55122
2Justin FaulkRyan McDonagh45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Leon DraisaitlAuston MatthewsSteven StamkosBrent BurnsVictor Hedman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Leon DraisaitlPatrice BergeronSteven StamkosVictor HedmanBrent Burns
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pavel Buchnevich, Leon Draisaitl, Phil KesselPavel Buchnevich, Phil KesselPavel Buchnevich
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Rasmus Andersson, Ryan McDonagh, Victor HedmanBrent BurnsJacob Trouba, Brent Burns
Tirs de pénalité
Patrik Laine, Steven Stamkos, Leon Draisaitl, Auston Matthews, Patrice Bergeron
Gardien
#1 : Darcy Kuemper, #2 : James Reimer
Lignes d’attaque personnalisées en prolongation
Steven Stamkos, Max Pacioretty, Patrice Bergeron, Leon Draisaitl, Auston Matthews, Phil Kessel, Phil Kessel, Brandon Saad, Pavel Buchnevich, Patrik Laine, Dylan Strome
Lignes de défense personnalisées en prolongation
Victor Hedman, Brent Burns, Justin Faulk, Ryan McDonagh, 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
1Canadiens3300000016511110000007162200000094561.00016294500295010821424508921225017317.65%11190.91%030352857.39%25647354.12%19734457.27%704058275127
2Canucks321000001516-11100000065121100000911-240.6671524390056401113344340943634627228.57%12375.00%130352857.39%25647354.12%19734457.27%704360254823
3Capitals540001002211112200000074332000100157890.9002241630031180191656759016760241059222.22%120100.00%030352857.39%25647354.12%19734457.27%11470104438342
4Ducks21100000770211000007700000000000020.50071320103040601522230601914395120.00%7271.43%030352857.39%25647354.12%19734457.27%442540173518
5Golden Knights11000000211110000002110000000000021.00024600002039619140256625400.00%30100.00%030352857.39%25647354.12%19734457.27%2213208178
6Jets22000000633110000003211100000031241.00061218002220591623200622184610330.00%4175.00%030352857.39%25647354.12%19734457.27%442540173418
7Maple Leafs11000000541000000000001100000054121.000510150012203111137037146182150.00%30100.00%030352857.39%25647354.12%19734457.27%2112219167
8Rangers22000000844220000008440000000000041.00081119003410712518280561612398225.00%6266.67%030352857.39%25647354.12%19734457.27%442741173316
9Sabres330000001477220000008351100000064261.00014223601392011137383609135275413323.08%6183.33%030352857.39%25647354.12%19734457.27%714561254725
Total22192001009558371211100000482721108100100473116390.886951662611122433007812292862660681228153438751722.67%641084.38%130352857.39%25647354.12%19734457.27%505305448191368189
_Since Last GM Reset22192001009558371211100000482721108100100473116390.886951662611122433007812292862660681228153438751722.67%641084.38%130352857.39%25647354.12%19734457.27%505305448191368189
_Vs Conference14130001006531347700000030121876000100351916270.96465113178011235180512159178175044014691266491122.45%38489.47%030352857.39%25647354.12%19734457.27%322197286122233119
_Vs Division9900000043202355000000238154400000020128181.000437211501924100321941111160273866716140922.50%26484.62%030352857.39%25647354.12%19734457.27%2081261827914976

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2239W59516626178168122815343811
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2219201009558
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1211100004827
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
108101004731
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
751722.67%641084.38%1
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
22928626602243300
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
30352857.39%25647354.12%19734457.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
505305448191368189


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
2 - 2022-12-149Rangers1Red Wings4BWSommaire du match
3 - 2022-12-1520Red Wings5Maple Leafs4AWSommaire du match
4 - 2022-12-1628Sabres3Red Wings4BWSommaire du match
6 - 2022-12-1840Red Wings4Canucks8ALSommaire du match
7 - 2022-12-1951Rangers3Red Wings4BWSommaire du match
8 - 2022-12-2059Golden Knights1Red Wings2BWSommaire du match
10 - 2022-12-2268Red Wings3Capitals4ALXSommaire du match
12 - 2022-12-2479Canadiens1Red Wings7BWSommaire du match
14 - 2022-12-2688Red Wings5Canadiens3AWSommaire du match
16 - 2022-12-28100Sabres0Red Wings4BWSommaire du match
18 - 2022-12-30109Red Wings6Sabres4AWSommaire du match
20 - 2023-01-01120Capitals3Red Wings5BWSommaire du match
22 - 2023-01-03128Red Wings7Capitals2AWSommaire du match
24 - 2023-01-05140Capitals1Red Wings2BWSommaire du match
26 - 2023-01-07150Red Wings3Jets1AWSommaire du match
28 - 2023-01-09160Red Wings5Capitals1AWSommaire du match
30 - 2023-01-11168Ducks5Red Wings3BLSommaire du match
32 - 2023-01-13177Red Wings5Canucks3AWSommaire du match
34 - 2023-01-15190Jets2Red Wings3BWSommaire du match
36 - 2023-01-17197Red Wings4Canadiens1AWSommaire du match
38 - 2023-01-19208Ducks2Red Wings4BWSommaire du match
40 - 2023-01-21219Canucks5Red Wings6BWSommaire du match
42 - 2023-01-23227Red Wings-Golden Knights-
44 - 2023-01-25239Red Wings-Ducks-
46 - 2023-01-27249Maple Leafs-Red Wings-
47 - 2023-01-28261Golden Knights-Red Wings-
48 - 2023-01-29269Red Wings-Sabres-
49 - 2023-01-30273Red Wings-Blackhawks-
50 - 2023-01-31287Red Wings-Rangers-
52 - 2023-02-02297Oilers-Red Wings-
54 - 2023-02-04305Red Wings-Flyers-
56 - 2023-02-06317Lightning-Red Wings-
58 - 2023-02-08331Ducks-Red Wings-
59 - 2023-02-09339Red Wings-Maple Leafs-
60 - 2023-02-10348Canadiens-Red Wings-
61 - 2023-02-11357Red Wings-Coyotes-
63 - 2023-02-13367Red Wings-Canucks-
65 - 2023-02-15378Canadiens-Red Wings-
67 - 2023-02-17388Kings-Red Wings-
69 - 2023-02-19401Sabres-Red Wings-
71 - 2023-02-21412Red Wings-Penguins-
72 - 2023-02-22417Red Wings-Lightning-
73 - 2023-02-23427Red Wings-Lightning-
74 - 2023-02-24437Sharks-Red Wings-
75 - 2023-02-25444Red Wings-Maple Leafs-
78 - 2023-02-28458Maple Leafs-Red Wings-
79 - 2023-03-01469Kings-Red Wings-
80 - 2023-03-02476Red Wings-Maple Leafs-
82 - 2023-03-04489Flyers-Red Wings-
85 - 2023-03-07503Sharks-Red Wings-
86 - 2023-03-08509Red Wings-Canadiens-
87 - 2023-03-09522Blackhawks-Red Wings-
88 - 2023-03-10530Red Wings-Sabres-
91 - 2023-03-13539Red Wings-Lightning-
92 - 2023-03-14549Canadiens-Red Wings-
93 - 2023-03-15559Red Wings-Kings-
95 - 2023-03-17569Canadiens-Red Wings-
96 - 2023-03-18583Maple Leafs-Red Wings-
98 - 2023-03-20591Red Wings-Maple Leafs-
99 - 2023-03-21599Red Wings-Penguins-
100 - 2023-03-22609Penguins-Red Wings-
102 - 2023-03-24619Red Wings-Penguins-
104 - 2023-03-26628Penguins-Red Wings-
105 - 2023-03-27635Red Wings-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
108 - 2023-03-30651Coyotes-Red Wings-
109 - 2023-03-31662Oilers-Red Wings-
110 - 2023-04-01667Red Wings-Flyers-
112 - 2023-04-03682Lightning-Red Wings-
114 - 2023-04-05693Red Wings-Maple Leafs-
115 - 2023-04-06700Red Wings-Blue Jackets-
116 - 2023-04-07709Blue Jackets-Red Wings-
117 - 2023-04-08721Flyers-Red Wings-
118 - 2023-04-09733Red Wings-Blue Jackets-
120 - 2023-04-11743Blue Jackets-Red Wings-
121 - 2023-04-12753Red Wings-Oilers-
122 - 2023-04-13761Rangers-Red Wings-
124 - 2023-04-15772Red Wings-Blackhawks-
125 - 2023-04-16775Red Wings-Sharks-
126 - 2023-04-17785Red Wings-Rangers-
128 - 2023-04-19792Blues-Red Wings-
131 - 2023-04-22807Red Wings-Rangers-
132 - 2023-04-23813Rangers-Red Wings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité70005000450050001500
Prix des billets7056251285
Assistance74,55256,01551,44155,52516,184
Attendance PCT88.75%93.36%95.26%92.54%89.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 21143 - 91.93% 1,450,694$17,408,333$23000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
23,885,754$ 75,100,000$ 75,100,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
75,100,000$ 22,814,870$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
42,070,138$ 93 586,567$ 54,550,731$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
54,550,731$ 187,535,823$ 175,055,230$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
75,100,000$ 514,821$ 75,614,821$ 18,388,884$



Charte de profondeur

Ailier gaucheCentreAilier droit
Leon DraisaitlAGE:26PO:0OV:82
Pavel BuchnevichAGE:26PO:0OV:76
Patrik LaineAGE:23PO:0OV:76
Max PaciorettyAGE:33PO:0OV:74
Rickard RakellAGE:28PO:0OV:73
Brandon SaadAGE:29PO:0OV:73
Barclay GoodrowAGE:28PO:0OV:71
Sonny MilanoAGE:25PO:0OV:67
Matthew NietoAGE:29PO:0OV:66
Warren FoegeleAGE:25PO:0OV:66
Cole Perfetti (R)AGE:20PO:0OV:63
Boris Katchouk (R)AGE:23PO:0OV:62
Jansen HarkinsAGE:24PO:0OV:60
Klim Kostin (R)AGE:22PO:0OV:60
Leon DraisaitlAGE:26PO:0OV:82
Steven StamkosAGE:31PO:0OV:80
Auston MatthewsAGE:24PO:0OV:80
Patrice BergeronAGE:36PO:0OV:79
Rickard RakellAGE:28PO:0OV:73
Dylan StromeAGE:24PO:0OV:72
Barclay GoodrowAGE:28PO:0OV:71
Gabriel VilardiAGE:22PO:0OV:65
Cole Perfetti (R)AGE:20PO:0OV:63
Rasmus Kupari (R)AGE:21PO:0OV:62
Jansen HarkinsAGE:24PO:0OV:60
Steven StamkosAGE:31PO:0OV:80
Pavel BuchnevichAGE:26PO:0OV:76
Patrik LaineAGE:23PO:0OV:76
Rickard RakellAGE:28PO:0OV:73
Brandon SaadAGE:29PO:0OV:73
Dylan StromeAGE:24PO:0OV:72
Phil KesselAGE:34PO:0OV:72
Matthew NietoAGE:29PO:0OV:66
Warren FoegeleAGE:25PO:0OV:66
Gabriel VilardiAGE:22PO:0OV:65
Rasmus Kupari (R)AGE:21PO:0OV:62
Alexander Holtz (R)AGE:19PO:0OV:62
Martin KautAGE:22PO:0OV:61
Kole Lind (R)AGE:23PO:0OV:61
Klim Kostin (R)AGE:22PO:0OV:60
Hudson FaschingAGE:26PO:0OV:58

Défense #1Défense #2Gardien
Victor HedmanAGE:31PO:0OV:82
Brent BurnsAGE:36PO:0OV:81
Ryan McDonaghAGE:32PO:0OV:77
Justin FaulkAGE:29PO:0OV:76
Jacob TroubaAGE:27PO:0OV:76
Rasmus AnderssonAGE:25PO:0OV:75
Gustav ForslingAGE:25PO:0OV:72
Joel EdmundsonAGE:28PO:0OV:72
Sean Durzi (R)AGE:23PO:0OV:70
Jonas SiegenthalerAGE:24PO:0OV:70
Marcus PetterssonAGE:25PO:0OV:68
Philippe MyersAGE:24PO:0OV:67
Kevin Bahl (R)AGE:21PO:0OV:66
Will ButcherAGE:26PO:0OV:64
Lucas CarlssonAGE:24PO:0OV:61
Olli JuoleviAGE:23PO:0OV:60
Guillaume Brisebois (R)AGE:24PO:0OV:56
Darcy KuemperAGE:31PO:0OV:82
James ReimerAGE:33PO:0OV:73
Kaapo KahkonenAGE:25PO:0OV:73
Kevin LankinenAGE:26PO:0OV:65
Zachary Fucale (R)AGE:26PO:0OV:53

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam BeckmanRed Wings
Akil ThomasRed Wings2647
Alfons MalmstromRed Wings2494
Andrei AltybarmakyanRed Wings25102
Chase StillmanRed Wings2946
Chris BigrasRed Wings
Damien RiatRed Wings24105
Dmitry SemykinRed Wings26116
Dustin ByfuglienRed WingsLien
Egor SokolovRed Wings
Gustaf FranzenRed Wings2172
Helge GransRed Wings2839
Hunter ShinkarukRed Wings
Ian McCoshenRed WingsLien
Ivan ChekhovichRed Wings
Jake NeighboursRed Wings2837
Jake SandersonRed Wings289
Jesper LindgrenRed Wings22117
Jonathan AngRed Wings2485
Jonathan JohanssonRed Wings1530
Kasper BjorkqvistRed Wings2445
Liam OhgrenRed Wings3013
Linus NassenRed Wings2483
Mark BarberioRed Wings
Nico GrossRed Wings26133
Nikita PopugaevRed Wings2562
Olof LindbonRed Wings2655
Oscar DanskRed Wings
Parker WhoterspoonRed Wings2281
Patrick MarleauRed WingsLien
Paul LudwinskiRed Wings3065
Phillip Di GiuseppeRed WingsLien
Reilly WalshRed Wings25122
Ryan ChesleyRed Wings3033
Ryan PilonRed Wings22101
Ryker EvansRed Wings2959
Tim HeedRed Wings
Ty EmbersonRed Wings2693
William LockwoodRed Wings

Choix au repêchage

Année R1R2R3R4R5R6R7
31
32
33
34
35



Wayne Gretzky refuse de commenter la saga Travis Zajac

Par Keven Breton (Blue Jackets) Le Tuesday 1st March 2022 / 12:21pm

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 / 8:22am :

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 / 10:06am :

Coup de théâtre!

Nouveau commentaire

Le comptable de Chicago sous enquête !!!

Par Mathieu Bouillon (Blackhawks) Le Thursday 3rd December 2020 / 6:45pm

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 ! 

Nouveau commentaire



[2023-01-05 22:44:45] - TRADE : From Golden Knights to Red Wings : Jacob Trouba (76).
[2023-01-05 22:44:45] - TRADE : From Red Wings to Golden Knights : Torey Krug (70), Brad Lambert (P).
[2022-12-15 21:55:32] - Egor Sokolov has been added to Red Wings.
[2022-12-15 21:55:25] - Egor Sokolov was released by Red Wings
[2022-12-15 21:54:41] - Adam Beckman has been added to Red Wings.
[2022-12-15 21:54:29] - Adam Beckman was released by Red Wings
[2022-12-05 21:42:04] - TRADE : From Sharks to Red Wings : Dylan Strome (72), Rickard Rakell (72).
[2022-12-05 21:42:04] - TRADE : From Red Wings to Sharks : Andrew Mangiapane (73), Conor Garland (71).
[2022-11-22 23:25:51] - Tuukka Rask was released.
[2022-11-22 23:25:49] - Tuukka Rask retired from Red Wings
[2022-11-19 00:23:12] - Zachary Fucale was added to Red Wings.
[2022-11-18 23:50:58] - Jason Spezza was released.
[2022-11-18 23:50:58] - Jason Spezza retired from Red Wings
[2022-11-18 22:31:15] - Klim Kostin was added to Red Wings.
[2022-11-18 22:31:15] - Boris Katchouk was added to Red Wings.
[2022-11-18 22:31:15] - Sean Durzi was added to Red Wings.
[2022-11-18 22:31:15] - Adam Beckman was added to Red Wings.
[2022-11-18 22:31:15] - Kole Lind was added to Red Wings.
[2022-11-18 22:31:15] - Rasmus Kupari was added to Red Wings.
[2022-11-18 22:31:15] - Kevin Bahl was added to Red Wings.
[2022-11-18 22:31:15] - Guillaume Brisebois was added to Red Wings.
[2022-11-18 22:31:15] - Egor Sokolov was added to Red Wings.
[2022-11-18 22:31:15] - Cole Perfetti was added to Red Wings.
[2022-11-18 22:31:15] - Alexander Holtz was added to Red Wings.
[2022-09-05 23:34:33] - Red Wings drafts Paul Ludwinski as the #65 overall pick in the Entry Draft of year 30.
[2022-09-05 23:30:21] - Red Wings drafts Ryan Chesley as the #33 overall pick in the Entry Draft of year 30.
[2022-09-05 23:30:13] - Red Wings drafts Brad Lambert as the #32 overall pick in the Entry Draft of year 30.
[2022-09-05 23:27:44] - Red Wings drafts Liam Ohgren as the #13 overall pick in the Entry Draft of year 30.
[2022-04-09 23:53:43] - Red Wings was eliminated at round 2 of year 29.
[2022-03-11 23:46:05] - New Record for Team's Most Shots (51) in 1 Game for Red Wings!
[2022-03-10 22:10:20] - Brent Burns has been selected as assistant for Red Wings.
[2022-03-10 22:10:20] - Joe Pavelski is no longer as assistant for Red Wings.
[2022-03-10 22:10:20] - Patrick Marleau has been selected as assistant for Red Wings.
[2022-03-10 22:10:20] - Brent Burns is no longer as assistant for Red Wings.
[2022-03-01 21:59:26] - TRADE : From Canadiens to Red Wings : Justin Faulk (76).
[2022-03-01 21:59:26] - TRADE : From Red Wings to Canadiens : Jordan Kyrou (66).
[2022-03-01 21:59:24] - TRADE : From Coyotes to Red Wings : Darcy Kuemper (70).
[2022-03-01 21:59:24] - TRADE : From Red Wings to Coyotes : Jeff Petry (76).
[2022-03-01 21:54:41] - Patrick Marleau signed with Red Wings for 500 000 $ for 1 year(s).
[2022-03-01 21:54:41] - Patrick Marleau was added to Red Wings.
[2022-02-02 23:03:43] - TRADE : From Blackhawks to Red Wings : Jamie Benn (73), 5 000 000 $ (Salary Cap).
[2022-02-02 23:03:43] - TRADE : From Red Wings to Blackhawks : Oliver Kylington (58), Y:31-RND:4-Det.
[2022-01-29 13:14:07] - TRADE : From Flyers to Red Wings : Phil Kessel (73), 2 600 000 $ (Salary Cap).
[2022-01-29 13:14:07] - TRADE : From Red Wings to Flyers : John Beecher (P), Y:30-RND:3-Det, Y:31-RND:7-Det.
[2022-01-29 13:14:00] - TRADE : From Canucks to Red Wings : Jason Spezza (69).



[2023-01-28 01:17:29] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-26 23:31:39] Auto Lines Partial Function has been run for Red Wings.
[2023-01-26 23:31:39] Auto Roster Function has been run for Red Wings.
[2023-01-26 23:31:39] Zachary Fucale of Red Wings was sent to farm.
[2023-01-26 23:31:39] Auto Roster Partial Function has been run for Red Wings.
[2023-01-25 23:09:22] Red Wings are expected to be over the salary cap by 235 179 $!
[2023-01-25 23:09:16] Darcy Kuemper from Red Wings is back from Sprained Left Finger Injury.
[2023-01-23 21:46:42] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-23 21:46:42] Zachary Fucale of Red Wings was sent to pro.
[2023-01-22 23:20:56] Game 197 - Darcy Kuemper from Red Wings is injured (Sprained Left Finger) and is out for 6 days.
[2023-01-18 23:42:25] 400 000 $ was added to Red Wings bank account.
[2023-01-18 23:41:05] 350 000 $ was added to Red Wings bank account.
[2023-01-17 23:24:16] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-16 22:12:33] Last 30 Days Pro Star : 1 - Timo Meier of Ducks (16-16-32) / 2 - Leon Draisaitl of Red Wings (13-16-29) / 3 - Sebastian Aho of Ducks (12-18-30)
[2023-01-15 00:06:01] Last 7 Days Pro Star : 1 - Leon Draisaitl of Red Wings (4-4-8) / 2 - Darcy Kuemper of Red Wings (0,962) / 3 - Steven Stamkos of Red Wings (2-6-8)
[2023-01-05 22:44:45] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-05 22:44:45] Barclay Goodrow of Red Wings was sent to pro.
[2023-01-05 22:44:45] TRADE : From Golden Knights to Red Wings : Jacob Trouba (76).
[2023-01-05 22:44:45] TRADE : From Red Wings to Golden Knights : Torey Krug (70), Brad Lambert (P).
[2023-01-04 22:14:09] Auto Lines Partial Function has been run for Red Wings.
[2023-01-04 22:14:09] Auto Roster Function has been run for Red Wings.
[2023-01-04 22:14:09] Barclay Goodrow of Red Wings was sent to farm.
[2023-01-04 22:14:09] Auto Roster Partial Function has been run for Red Wings.
[2023-01-03 23:06:47] Red Wings are expected to be over the salary cap by 485 179 $!
[2023-01-03 23:04:58] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-03 23:04:58] Barclay Goodrow of Red Wings was sent to pro.
[2023-01-03 10:49:57] Auto Lines Partial Function has been run for Red Wings.
[2023-01-03 10:49:57] Auto Roster Function has been run for Red Wings.
[2023-01-03 10:49:57] Barclay Goodrow of Red Wings was sent to farm.
[2023-01-03 10:49:57] Auto Roster Partial Function has been run for Red Wings.



Pas de blessure ou de suspension.


Red Wings Leaders statistiques (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 (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