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Red Wings
GP: 49 | W: 28 | L: 19 | OTL: 2 | P: 58
GF: 154 | GA: 142 | PP%: 23.46% | PK%: 80.25%
DG: Patrick Auger | Morale : 50 | Moyenne d’équipe : 71
Prochains matchs #815 vs Oilers
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Centre de jeu
Red Wings
28-19-2, 58pts
3
FINAL
5 Canadiens
24-23-3, 51pts
Team Stats
L3StreakL1
16-8-1Home Record11-11-3
12-11-1Away Record13-12-0
4-6-0Last 10 Games5-5-0
3.14Goals Per Game2.86
2.90Goals Against Per Game2.94
23.46%Power Play Percentage17.65%
80.25%Penalty Kill Percentage79.11%
Red Wings
28-19-2, 58pts
2
FINAL
6 Islanders
15-33-4, 34pts
Team Stats
L3StreakL1
16-8-1Home Record9-15-2
12-11-1Away Record6-18-2
4-6-0Last 10 Games2-8-0
3.14Goals Per Game2.46
2.90Goals Against Per Game3.79
23.46%Power Play Percentage14.11%
80.25%Penalty Kill Percentage76.92%
Oilers
17-27-6, 40pts
2023-02-07
Red Wings
28-19-2, 58pts
Statistiques d’équipe
L1SéquenceL3
13-11-3Fiche domicile16-8-1
4-16-3Fiche visiteur12-11-1
1-6-310 derniers matchs4-6-0
2.40Buts par match 3.14
2.98Buts contre par match 2.90
12.22%Pourcentage en avantage numérique23.46%
81.16%Pourcentage en désavantage numérique80.25%
Flames
20-23-7, 47pts
2023-02-09
Red Wings
28-19-2, 58pts
Statistiques d’équipe
W1SéquenceL3
8-14-3Fiche domicile16-8-1
12-9-4Fiche visiteur12-11-1
2-6-210 derniers matchs4-6-0
2.56Buts par match 3.14
2.88Buts contre par match 2.90
18.95%Pourcentage en avantage numérique23.46%
85.64%Pourcentage en désavantage numérique80.25%
Canucks
26-19-4, 56pts
2023-02-11
Red Wings
28-19-2, 58pts
Statistiques d’équipe
W2SéquenceL3
10-11-3Fiche domicile16-8-1
16-8-1Fiche visiteur12-11-1
6-4-010 derniers matchs4-6-0
2.90Buts par match 3.14
2.88Buts contre par match 2.90
20.42%Pourcentage en avantage numérique23.46%
81.65%Pourcentage en désavantage numérique80.25%
Meneurs d'équipe
Auston MatthewsButs
Auston Matthews
29
Moritz SeiderPasses
Moritz Seider
34
Auston MatthewsPoints
Auston Matthews
59
William NylanderPlus/Moins
William Nylander
22
Igor ShesterkinVictoires
Igor Shesterkin
18
Brian ElliottPourcentage d’arrêts
Brian Elliott
0.906

Statistiques d’équipe
Buts pour
154
3.14 GFG
Tirs pour
1572
32.08 Avg
Pourcentage en avantage numérique
23.5%
38 GF
Début de zone offensive
42.0%
Buts contre
142
2.90 GAA
Tirs contre
1477
30.14 Avg
Pourcentage en désavantage numérique
80.2%
32 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralPatrick Auger
EntraîneurD.J. Smith
DivisionAtlantique
ConférenceEst
CapitaineAuston Matthews
Assistant #1Artemi Panarin
Assistant #2Viktor Arvidsson


Informations de l’aréna

NomLittle Caesars Arena
Capacité18,000
Assistance17,010
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure17
Limite contact 37 / 250
Espoirs28


Plafond salarial

Cap Salarial de la Saison estimé81,380,890$
Plafond salarial disponible119,110$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour29,925,050$
Dépenses annuelles à ce jour49,367,862$
Revenus de la saison estimés19,152,032$
Dépenses de la saison estimées31,902,584$
Compte bancaire actuel960,056,865$
Compte bancaire projeté946,709,355$


Historique d'équipe

Saison actuelle28-19-2 (58PTS)
Historique401-296-92 (0.508%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)25-26
Coupe Stanley0


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
1Auston Matthews (C)X100.0064379283859188868982956789687505077024311,634,000$
2Artemi Panarin (A)X100.0056349484699093915895776286757405075029511,642,857$
3William NylanderXX100.005735938475889280647981678469710507302536,962,366$
4Tyler BertuzziXX100.007058797377908175607884717368700507202624,750,000$
5Sam BennettXX100.008045697476868971817377687169720507002544,425,000$
6Trevor ZegrasXX100.005934807871888579768074628061660507002021,775,000$
7Viktor Arvidsson (A)XX100.005936887667878975617476627772740507002834,250,000$
8Dominik KubalikXX100.006735927276859073587174647368700506902613,700,000$
9Frederick GaudreauXX100.005834927071868369847665826769710506902821,200,000$
10Sam GagnerXXX100.00623788697184907280686575738674050680321850,000$
11Derek RyanXX100.005633946770788966856564806377790506703421,250,000$
12Mark JankowskiXX100.00763892638984796480666277636971050670272750,000$
13Darnell NurseX100.007982687591948672307876885970680507302615,600,000$
14Moritz SeiderX100.007738907586938274308364875662680507202011,775,000$
15Dougie HamiltonX100.006843827098928972308173705976710507102879,000,000$
16Artem ZubX100.008036786781929066307362765367680506802622,500,000$
17Justin HollX100.007638836685878863307658825071730506802922,000,000$
18Oliver KylingtonX100.00573495767188827030766966576566050680241750,000$
Rayé
MOYENNE D’ÉQUIPE100.0068418268788283675370666662697005066
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
1Igor Shesterkin98.00979591759695979695979668770507702545,666,667$
2Brian Elliott100.0086797382858486858486858791050710362900,000$
Rayé
MOYENNE D’ÉQUIPE99.508383808182818382818382717805069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith89818179676281CAN458100,000$


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
1Auston MatthewsRed WingsC4929305913140841072126713313.68%398020.01881639145000043052.16%131900011.2003000725
2Artemi PanarinRed WingsLW491929481114039911705711011.18%398520.10371028144000071140.91%8800010.9713000242
3Moritz SeiderRed WingsD4993443-12360868186205310.47%81120024.5051419491450001134210.00%000000.7200000201
4William NylanderRed WingsLW/RW49172441221204173135419312.59%994919.37491332134000005234.92%6300000.8612000243
5Darnell NurseRed WingsD45112940956012962100406711.00%7397621.715611581130001118210.00%000100.8200000453
6Trevor ZegrasRed WingsC/LW49102434-1427540101119361008.40%987717.92591428120000002048.28%101700000.7711000012
7Dougie HamiltonRed WingsD496273312240663657202910.53%42109122.2748123114400002100.00%000000.6000000242
8Tyler BertuzziRed WingsLW/RW49151429-82801095416865918.93%1093219.03156321260000352043.43%9900010.6200000233
9Derek RyanRed WingsC/RW5081119680168167145211.94%855711.15055126100081362251.46%75400000.6823000201
10Oliver KylingtonRed WingsD493131632014344614486.52%3385417.4512324121000140100.00%000000.3700000001
11Viktor ArvidssonRed WingsLW/RW495914-560244811220664.46%476715.670221052000001136.54%5200000.3600000010
12Justin HollRed WingsD4921012038076451871811.11%5685617.47000000000117000.00%000000.2800000100
13Artem ZubRed WingsD492911-7340107351791911.76%4387117.781013100000129000.00%000000.2500000001
14Sam BennettRed WingsC/LW497411-7440115678523538.24%571314.561129600000191049.25%53000000.3100000011
15Sam GagnerRed WingsC/LW/RW4926850018283711315.41%33547.23000190002751038.18%5500000.4500000000
16Dominik KubalikRed WingsLW/RW49527-78032317021487.14%258511.9501105000003041.18%3400000.2400000100
17Frederick GaudreauRed WingsC/RW37167-82016626214371.61%554214.670000000051110049.00%45100000.2600000000
18Owen TippettGriffins (DET)LW/RW2123530044164912.50%11296.180000000000000.00%800000.7700000000
19Mark JankowskiRed WingsC/LW492245603517304226.67%104248.660000000051780052.48%10100000.1900000001
20Juuso ValimakiGriffins (DET)D4011100450020.00%56115.290000000005000.00%000000.3300000000
21Wayne SimmondsGriffins (DET)RW6000000601010.00%1386.480000000000000.00%200000.00%00000000
Statistiques d’équipe totales ou en moyenne89815528744222359510611062160848710829.64%4061475216.433877115356139800023111727849.35%457300130.60512000252526
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
1Igor ShesterkinRed Wings38181150.9043.1120430210611030020.667123610230
2Brian ElliottRed Wings187710.9062.8089900424460000.00%01336111
Statistiques d’équipe totales ou en moyenne56251860.9043.0229430214815490020.667124946341


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
Artem ZubRed WingsD261995-10-03No202 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$2,500,000$978,836$No2,500,000$Lien / Lien NHL
Artemi PanarinRed WingsLW291991-10-30No175 Lbs6 ft0NoNoNo5Pro & Farm11,642,857$11,642,857$4,558,579$No11,642,857$11,642,857$11,642,857$11,642,857$Lien / Lien NHL
Auston MatthewsRed WingsC241997-09-17No205 Lbs6 ft3NoNoNo3Pro & Farm11,634,000$11,634,000$4,555,111$No11,634,000$11,634,000$Lien / Lien NHL
Brian ElliottRed WingsG361985-04-09No209 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$352,381$No900,000$Lien / Lien NHL
Darnell NurseRed WingsD261995-02-04No221 Lbs6 ft4NoNoNo1Pro & Farm5,600,000$5,600,000$2,192,593$NoLien / Lien NHL
Derek RyanRed WingsC/RW341986-12-29No185 Lbs5 ft10NoNoNo2Pro & Farm1,250,000$1,250,000$489,418$No1,250,000$Lien / Lien NHL
Dominik KubalikRed WingsLW/RW261995-08-21No179 Lbs6 ft2NoNoNo1Pro & Farm3,700,000$3,700,000$1,448,677$NoLien / Lien NHL
Dougie HamiltonRed WingsD281993-06-17No230 Lbs6 ft6NoNoNo7Pro & Farm9,000,000$9,000,000$3,523,810$No9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$Lien / Lien NHL
Frederick GaudreauRed WingsC/RW281993-05-01No184 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$1,200,000$469,841$No1,200,000$Lien / Lien NHL
Igor ShesterkinRed WingsG251995-12-30No189 Lbs6 ft1NoNoNo4Pro & Farm5,666,667$5,666,667$2,218,695$No5,666,667$5,666,667$5,666,667$Lien / Lien NHL
Justin HollRed WingsD291992-01-30No194 Lbs6 ft4NoNoNo2Pro & Farm2,000,000$2,000,000$783,069$No2,000,000$Lien / Lien NHL
Mark JankowskiRed WingsC/LW271994-09-13No212 Lbs6 ft4NoNoNo2Pro & Farm750,000$750,000$293,651$No750,000$Lien / Lien NHL
Moritz SeiderRed WingsD202001-04-06No197 Lbs6 ft4NoNoNo1Pro & Farm1,775,000$1,775,000$694,974$NoLien / Lien NHL
Oliver KylingtonRed WingsD241997-05-19No183 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$293,651$NoLien / Lien NHL
Sam BennettRed WingsC/LW251996-06-20No195 Lbs6 ft1NoNoNo4Pro & Farm4,425,000$4,425,000$1,732,540$No4,425,000$4,425,000$4,425,000$Lien / Lien NHL
Sam GagnerRed WingsC/LW/RW321989-08-10No197 Lbs5 ft11NoNoNo1Pro & Farm850,000$850,000$332,804$NoLien / Lien NHL
Trevor ZegrasRed WingsC/LW202001-03-20No185 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$1,775,000$694,974$No1,775,000$Lien / Lien NHL
Tyler BertuzziRed WingsLW/RW261995-02-24No197 Lbs6 ft1NoNoNo2Pro & Farm4,750,000$4,750,000$1,859,788$No4,750,000$Lien / Lien NHL
Viktor ArvidssonRed WingsLW/RW281993-04-08No185 Lbs5 ft10NoNoNo3Pro & Farm4,250,000$4,250,000$1,664,021$No4,250,000$4,250,000$Lien / Lien NHL
William NylanderRed WingsLW/RW251996-05-01No202 Lbs6 ft0NoNoNo3Pro & Farm6,962,366$6,962,366$2,726,006$No6,962,366$6,962,366$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2026.90196 Lbs6 ft12.504,069,045$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
81,380,890$68,705,890$53,580,890$30,734,524$20,642,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artemi PanarinAuston MatthewsWilliam Nylander35014
2Trevor ZegrasSam BennettTyler Bertuzzi32122
3Viktor ArvidssonFrederick GaudreauDominik Kubalik23122
4Mark JankowskiDerek RyanSam Gagner10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dougie HamiltonDarnell Nurse34131
2Moritz SeiderJustin Holl32131
3Artem ZubOliver Kylington24131
4Dougie HamiltonMoritz Seider10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artemi PanarinAuston MatthewsWilliam Nylander60005
2Trevor ZegrasSam GagnerTyler Bertuzzi40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dougie HamiltonMoritz Seider60014
2Darnell NurseOliver Kylington40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Frederick GaudreauMark Jankowski60140
2Derek RyanSam Gagner40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseMoritz Seider60140
2Artem ZubJustin Holl40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Frederick Gaudreau60140Darnell NurseMoritz Seider60140
2Derek Ryan40140Justin HollArtem Zub40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Auston MatthewsArtemi Panarin60122
2Trevor ZegrasWilliam Nylander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dougie HamiltonDarnell Nurse60122
2Moritz SeiderArtem Zub40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artemi PanarinAuston MatthewsWilliam NylanderDougie HamiltonMoritz Seider
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark JankowskiFrederick GaudreauDerek RyanDarnell NurseMoritz Seider
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Bertuzzi, Artemi Panarin, Sam BennettWilliam Nylander, Auston MatthewsTyler Bertuzzi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Kylington, Justin Holl, Artem ZubOliver KylingtonJustin Holl, Moritz Seider
Tirs de pénalité
Auston Matthews, Artemi Panarin, William Nylander, Trevor Zegras, Viktor Arvidsson
Gardien
#1 : Igor Shesterkin, #2 : Brian Elliott
Lignes d’attaque personnalisées en prolongation
Auston Matthews, Artemi Panarin, William Nylander, Trevor Zegras, Tyler Bertuzzi, Sam Bennett, Sam Bennett, Viktor Arvidsson, Dominik Kubalik, Frederick Gaudreau, Derek Ryan
Lignes de défense personnalisées en prolongation
Dougie Hamilton, Darnell Nurse, Moritz Seider, Artem Zub, Justin Holl


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
1Avalanche1010000034-1000000000001010000034-100.0003470010202610790307419100.00%2150.00%0901177250.85%834168449.52%35876047.11%2315217147
2Blackhawks11000000202000000000001100000020221.000235011010267118027541811100.00%20100.00%0901177250.85%834168449.52%35876047.11%2619216125
3Blue Jackets320000101165110000003122100001085361.0001119300041511083230428791414578225.00%6183.33%0901177250.85%834168449.52%35876047.11%825965193719
4Bruins11000000211000000000001100000021121.0002350001102771010042111017400.00%5180.00%0901177250.85%834168449.52%35876047.11%2113267126
5Canadiens30300000513-82020000028-61010000035-200.0005914101310101373529010218247610220.00%10370.00%0901177250.85%834168449.52%35876047.11%704872203619
6Capitals21100000862110000006241010000024-220.50081422001520721825290572310396233.33%5260.00%0901177250.85%834168449.52%35876047.11%513844142312
7Coyotes2110000067-11010000014-31100000053220.50061117003120572025120732118494125.00%9188.89%0901177250.85%834168449.52%35876047.11%473249142311
8Devils310010101284210000107431000100054161.00012203200325299303332610121416811327.27%15286.67%0901177250.85%834168449.52%35876047.11%765270224120
9Ducks21100000550110000005231010000003-320.50059140050004520169060121440500.00%7271.43%0901177250.85%834168449.52%35876047.11%443150142412
10Flyers11000000844110000008440000000000021.00081523001430401114150301014194125.00%7271.43%0901177250.85%834168449.52%35876047.11%2416217136
11Golden Knights21100000440110000002111010000023-120.5004812002200582916130653416424125.00%8187.50%0901177250.85%834168449.52%35876047.11%422952152410
12Hurricanes10001000321100010003210000000000021.000358000201371012132253613400.00%3166.67%0901177250.85%834168449.52%35876047.11%2619227126
13Islanders2010100069-3100010004311010000026-420.500611170003216415281836215123215320.00%6183.33%0901177250.85%834168449.52%35876047.11%523646162413
14Jets1010000024-21010000024-20000000000000.00024600002033153150281314205120.00%7185.71%0901177250.85%834168449.52%35876047.11%2719207126
15Kings2010010037-41000010034-11010000003-310.250369002100461713133521514367228.57%60100.00%0901177250.85%834168449.52%35876047.11%483349142613
16Lightning20101000660100010003211010000034-120.50061218001401731622314551610473133.33%5260.00%0901177250.85%834168449.52%35876047.11%483548142411
17Maple Leafs31100001910-1211000005501000000145-130.5009172600243110243223289727106312541.67%50100.00%0901177250.85%834168449.52%35876047.11%755371213719
18Panthers2110000056-1110000004131010000015-420.5005914001220541519200511922395120.00%10190.00%0901177250.85%834168449.52%35876047.11%432951152411
19Penguins11000000422000000000001100000042221.00047110012104313161403456276233.33%3166.67%0901177250.85%834168449.52%35876047.11%2417236116
20Predators1010000003-31010000003-30000000000000.000000000000301010100288230500.00%10100.00%0901177250.85%834168449.52%35876047.11%2316236126
21Rangers2020000037-41010000013-21010000024-200.000369001110651121330641816467114.29%6433.33%0901177250.85%834168449.52%35876047.11%453149142412
22Sabres320010001046110000004222100100062461.00010172701522110237313318726227012216.67%11281.82%0901177250.85%834168449.52%35876047.11%755368203618
23Senateurs330000002051522000000130131100000075261.0002035550286601134040330691816728225.00%5180.00%0901177250.85%834168449.52%35876047.11%765466203618
24Sharks21100000810-21010000047-31100000043120.500815230032305622191506222186110330.00%9277.78%0901177250.85%834168449.52%35876047.11%453048152512
25Stars11000000312000000000001100000031221.000369000120311410704611617000.00%30100.00%0901177250.85%834168449.52%35876047.11%2114256126
26Wild2110000068-2110000004311010000025-320.50061218001230642417230511112335240.00%60100.00%0901177250.85%834168449.52%35876047.11%513744122412
Total4921190512115414212251280311084651924911020117077-7580.592154277431144751498157252350551835147740335510501623823.46%1623280.25%0901177250.85%834168449.52%35876047.11%11998411159351612308
_Since Last GM Reset4921190512115414212251280311084651924911020117077-7580.592154277431144751498157252350551835147740335510501623823.46%1623280.25%0901177250.85%834168449.52%35876047.11%11998411159351612308
_Vs Conference3214100502111289231794030106337261556020114952-3430.6721121993111329423481100335358384329552442336851152723.48%1022476.47%0901177250.85%834168449.52%35876047.11%796560751228399203
_Vs Division17860200157451295301000311813833010012627-1210.6185710215913182215357219517918813503135114384541324.07%511080.39%0901177250.85%834168449.52%35876047.11%411288406121209106

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4958L315427743115721477403355105014
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4921195121154142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2512831108465
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2491120117077
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1623823.46%1623280.25%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
523505518354751498
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
901177250.85%834168449.52%35876047.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11998411159351612308


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
8 - 2022-10-1422Canadiens6Red Wings1BLSommaire du match
9 - 2022-10-1528Red Wings5Devils4AWXSommaire du match
11 - 2022-10-1744Kings4Red Wings3BLXSommaire du match
15 - 2022-10-2172Red Wings2Blackhawks0AWSommaire du match
17 - 2022-10-2388Ducks2Red Wings5BWSommaire du match
19 - 2022-10-25102Devils2Red Wings3BWXXSommaire du match
21 - 2022-10-27111Red Wings2Bruins1AWSommaire du match
23 - 2022-10-29134Wild3Red Wings4BWSommaire du match
25 - 2022-10-31144Red Wings3Sabres0AWSommaire du match
28 - 2022-11-03164Capitals2Red Wings6BWSommaire du match
30 - 2022-11-05182Islanders3Red Wings4BWXSommaire du match
31 - 2022-11-06190Red Wings2Rangers4ALSommaire du match
33 - 2022-11-08203Canadiens2Red Wings1BLSommaire du match
35 - 2022-11-10217Rangers3Red Wings1BLSommaire du match
37 - 2022-11-12237Red Wings0Kings3ALSommaire du match
40 - 2022-11-15255Red Wings0Ducks3ALSommaire du match
42 - 2022-11-17272Red Wings4Sharks3AWSommaire du match
44 - 2022-11-19280Red Wings4Blue Jackets3AWXXSommaire du match
48 - 2022-11-23311Predators3Red Wings0BLSommaire du match
50 - 2022-11-25325Coyotes4Red Wings1BLSommaire du match
53 - 2022-11-28348Maple Leafs3Red Wings0BLSommaire du match
55 - 2022-11-30361Sabres2Red Wings4BWSommaire du match
58 - 2022-12-03386Golden Knights1Red Wings2BWSommaire du match
59 - 2022-12-04394Red Wings4Blue Jackets2AWSommaire du match
61 - 2022-12-06405Red Wings3Lightning4ALSommaire du match
63 - 2022-12-08419Red Wings1Panthers5ALSommaire du match
65 - 2022-12-10435Red Wings3Stars1AWSommaire du match
68 - 2022-12-13460Hurricanes2Red Wings3BWXSommaire du match
69 - 2022-12-14467Red Wings2Wild5ALSommaire du match
72 - 2022-12-17485Senateurs0Red Wings9BWSommaire du match
74 - 2022-12-19503Red Wings2Capitals4ALSommaire du match
76 - 2022-12-21519Lightning2Red Wings3BWXSommaire du match
78 - 2022-12-23534Red Wings7Senateurs5AWSommaire du match
83 - 2022-12-28560Red Wings4Penguins2AWSommaire du match
84 - 2022-12-29563Red Wings3Sabres2AWXSommaire du match
86 - 2022-12-31585Senateurs0Red Wings4BWSommaire du match
90 - 2023-01-04609Devils2Red Wings4BWSommaire du match
92 - 2023-01-06623Panthers1Red Wings4BWSommaire du match
93 - 2023-01-07630Red Wings4Maple Leafs5ALXXSommaire du match
96 - 2023-01-10654Jets4Red Wings2BLSommaire du match
98 - 2023-01-12666Maple Leafs2Red Wings5BWSommaire du match
100 - 2023-01-14679Blue Jackets1Red Wings3BWSommaire du match
102 - 2023-01-16696Red Wings3Avalanche4ALSommaire du match
103 - 2023-01-17710Red Wings5Coyotes3AWSommaire du match
105 - 2023-01-19727Red Wings2Golden Knights3ALSommaire du match
107 - 2023-01-21735Flyers4Red Wings8BWSommaire du match
110 - 2023-01-24760Sharks7Red Wings4BLSommaire du match
112 - 2023-01-26772Red Wings3Canadiens5ALSommaire du match
113 - 2023-01-27780Red Wings2Islanders6ALSommaire du match
124 - 2023-02-07815Oilers-Red Wings-
126 - 2023-02-09825Flames-Red Wings-
128 - 2023-02-11832Canucks-Red Wings-
130 - 2023-02-13853Red Wings-Canucks-
132 - 2023-02-15866Red Wings-Oilers-
133 - 2023-02-16875Red Wings-Flames-
135 - 2023-02-18894Red Wings-Kraken-
138 - 2023-02-21909Red Wings-Capitals-
140 - 2023-02-23925Rangers-Red Wings-
142 - 2023-02-25942Lightning-Red Wings-
145 - 2023-02-28959Red Wings-Senateurs-
147 - 2023-03-02978Kraken-Red Wings-
149 - 2023-03-04989Red Wings-Islanders-
150 - 2023-03-051003Red Wings-Flyers-
153 - 2023-03-081023Blackhawks-Red Wings-
156 - 2023-03-111038Red Wings-Bruins-
157 - 2023-03-121053Bruins-Red Wings-
159 - 2023-03-141069Red Wings-Predators-
163 - 2023-03-181095Avalanche-Red Wings-
165 - 2023-03-201116Panthers-Red Wings-
166 - 2023-03-211129Red Wings-Blues-
168 - 2023-03-231141Blues-Red Wings-
170 - 2023-03-251150Red Wings-Flyers-
173 - 2023-03-281180Penguins-Red Wings-
175 - 2023-03-301195Hurricanes-Red Wings-
176 - 2023-03-311201Red Wings-Jets-
178 - 2023-04-021223Red Wings-Maple Leafs-
180 - 2023-04-041231Red Wings-Canadiens-
182 - 2023-04-061248Sabres-Red Wings-
184 - 2023-04-081266Penguins-Red Wings-
186 - 2023-04-101280Stars-Red Wings-
187 - 2023-04-111288Red Wings-Hurricanes-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131300Red Wings-Lightning-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance140,862118,21147,88494,80223,501
Attendance PCT93.91%94.57%95.77%94.80%94.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 17010 - 94.50% 1,197,002$29,925,050$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
49,367,862$ 81,380,890$ 11,212,366$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
81,380,890$ 49,241,049$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
19,152,032$ 74 431,116$ 31,902,584$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
32,499,542$ 960,056,865$ 946,709,355$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
81,380,890$ 119,110$ 81,500,000$ 21,180,890$



Charte de profondeur

Ailier gaucheCentreAilier droit
Artemi PanarinAGE:29PO:0OV:75
William NylanderAGE:25PO:0OV:73
Tyler BertuzziAGE:26PO:0OV:72
Sam BennettAGE:25PO:0OV:70
Trevor ZegrasAGE:20PO:0OV:70
Viktor ArvidssonAGE:28PO:0OV:70
Dominik KubalikAGE:26PO:0OV:69
Sam GagnerAGE:32PO:0OV:68
Mark JankowskiAGE:27PO:0OV:67
Owen TippettAGE:22PO:0OV:67
Roby Jarventie (R)AGE:19PO:0OV:63
Garrett WilsonAGE:30PO:0OV:61
Max McCormickAGE:29PO:0OV:61
Auston MatthewsAGE:24PO:0OV:77
Sam BennettAGE:25PO:0OV:70
Trevor ZegrasAGE:20PO:0OV:70
Frederick GaudreauAGE:28PO:0OV:69
Sam GagnerAGE:32PO:0OV:68
Derek RyanAGE:34PO:0OV:67
Mark JankowskiAGE:27PO:0OV:67
Joseph CramarossaAGE:28PO:0OV:63
Brian PinhoAGE:26PO:0OV:61
William NylanderAGE:25PO:0OV:73
Tyler BertuzziAGE:26PO:0OV:72
Viktor ArvidssonAGE:28PO:0OV:70
Dominik KubalikAGE:26PO:0OV:69
Frederick GaudreauAGE:28PO:0OV:69
Sam GagnerAGE:32PO:0OV:68
Derek RyanAGE:34PO:0OV:67
Owen TippettAGE:22PO:0OV:67
Wayne SimmondsAGE:33PO:0OV:65

Défense #1Défense #2Gardien
Darnell NurseAGE:26PO:0OV:73
Moritz SeiderAGE:20PO:0OV:72
Dougie HamiltonAGE:28PO:0OV:71
Artem ZubAGE:26PO:0OV:68
Justin HollAGE:29PO:0OV:68
Oliver KylingtonAGE:24PO:0OV:68
Ty SmithAGE:21PO:0OV:66
Juuso ValimakiAGE:23PO:0OV:65
Mitch ReinkeAGE:25PO:0OV:61
Cole Clayton (R)AGE:21PO:0OV:59
Cody GoloubefAGE:31PO:0OV:58
Brennan MenellAGE:24PO:0OV:58
Chad KrysAGE:23PO:0OV:58
James Greenway (R)AGE:23PO:0OV:58
Igor ShesterkinAGE:25PO:0OV:77
Brian ElliottAGE:36PO:0OV:71
Filip GustavssonAGE:23PO:0OV:65
Adam WernerAGE:24PO:0OV:62

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
Alex BroadhurstRed WingsLien
Antti TuomistoRed Wings941
Artur AkhtyamovRed Wings10110
Brandon ManningRed WingsLien
Brett LernoutRed WingsLien
Brian GibbonsRed WingsLien
Conner BleackleyRed WingsLien
Dmitri KostenkoRed Wings11188
Filip ChlapikRed WingsLien
Justin SourdifRed Wings1069
Kevan MillerRed WingsLien
Logan NelsonRed Wings2139
Luke ReidRed Wings10165
Marcus DavidssonRed Wings757
Marko DanoRed WingsLien
Matej PaulovicRed Wings3171
Matthew SpencerRed WingsLien
Michael PrapavessisRed WingsLien
Michael SpacekRed WingsLien
Patrik PuistolaRed Wings960
Radovan BondraRed Wings5110
Richard BachmanRed WingsLien
Ryan BourqueRed WingsLien
Stephen JohnsRed WingsLien
Steven JohnsonRed Wings4151Lien
Tye McGinnRed WingsLien
Vladimir SobotkaRed WingsLien
Zachary LauzonRed Wings7112

Choix au repêchage

Année R1R2R3R4R5R6
12
13
14
15
16






[2022-12-17 9:47:53 PM] - New Record for Team's Most Points (25) in 1 Game for Red Wings!
[2022-12-17 9:47:53 PM] - New Record for Team's Most Assists (16) in 1 Game for Red Wings!
[2022-12-17 9:47:53 PM] - New Record for Team's Most Goals (9) in 1 Game for Red Wings!
[2022-11-29 9:51:23 PM] - TRADE : From Jets to Red Wings : Igor Shesterkin (77), Y:12-RND:1-DET.
[2022-11-29 9:51:23 PM] - TRADE : From Red Wings to Jets : Thatcher Demko (75), Lukas Reichel (65), Landon Slaggert (P), Y:14-RND:1-DET.
[2022-11-13 8:21:08 PM] - TRADE : From Kraken to Red Wings : Derek Ryan (67).
[2022-11-13 8:21:08 PM] - TRADE : From Red Wings to Kraken : Y:12-RND:3-TBL.
[2022-11-10 9:33:17 PM] - Viktor Arvidsson has been selected as assistant for Red Wings.
[2022-11-10 9:33:17 PM] - Unknown Player is no longer as assistant for Red Wings.
[2022-11-10 9:33:17 PM] - Artemi Panarin has been selected as assistant for Red Wings.
[2022-11-10 9:33:17 PM] - Unknown Player is no longer as assistant for Red Wings.
[2022-09-03 7:41:33 PM] - TRADE : From Hurricanes to Red Wings : Brian Elliott (71).
[2022-09-03 7:41:33 PM] - TRADE : From Red Wings to Hurricanes : Y:14-RND:3-DET.
[2022-09-03 6:41:15 PM] - TRADE : From Red Wings to Jets : Ryan Suzuki (59), Arthur Kaliyev (66), Shane Pinto (P), Y:12-RND:1-DET.
[2022-09-03 6:41:15 PM] - TRADE : From Jets to Red Wings : Artemi Panarin (75), Y:12-RND:3-TBL.
[2022-09-03 6:40:01 PM] - TRADE : From Kraken to Red Wings : Thatcher Demko (75), Sam Bennett (70), Filip Gustavsson (65), Y:13-RND:3-VGK.
[2022-09-03 6:40:01 PM] - TRADE : From Red Wings to Kraken : John Gibson (72), Jeff Carter (71), Anton Stralman (69), Chris Driedger (72), Yaroslav Askarov (P), Y:13-RND:1-FLO.
[2022-08-26 8:05:31 PM] - Cole Clayton was added to Red Wings.
[2022-08-20 2:11:38 PM] - Red Wings drafts Dmitri Kostenko as the #188 overall pick in the Entry Draft of year 11.



[2023-01-26 10:54:58 PM] Last 7 Days Pro Star : 1 - Artemi Panarin of Red Wings (5-4-9) / 2 - Logan Couture of Canadiens (4-2-6) / 3 - Ondrej Palat of Sharks (4-1-5)
[2023-01-26 10:54:51 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-25 9:55:10 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-24 10:40:22 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-21 10:45:33 PM] Pro Game #735 - Artemi Panarin from Red Wings has scored a Hat Trick!
[2023-01-21 10:45:18 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-15 9:22:15 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-14 12:17:12 AM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-12 11:45:34 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-09 10:06:35 PM] Wayne Simmonds(Red Wings) cleared from waivers and was sent to down farm.
[2023-01-08 10:31:14 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2023-01-08 10:31:14 PM] Wayne Simmonds of Red Wings was sent down to farm.
[2023-01-08 10:31:13 PM] Red Wings placed Wayne Simmonds on waivers.
[2023-01-07 10:56:27 PM] Red Wings are expected to be over the salary cap by $780,890!
[2023-01-07 12:41:23 AM] Red Wings are expected to be over the salary cap by $780,890!
[2023-01-07 12:41:12 AM] Frederick Gaudreau from Red Wings is back from Strained Back Injury.
[2023-01-07 12:41:12 AM] Farm Game #623 - Joseph Cramarossa from Griffins has scored a Hat Trick!
[2023-01-05 10:33:12 PM] Last 7 Days Pro Star : 1 - Josh Anderson of Panthers (3-3-6) / 2 - Auston Matthews of Red Wings (3-3-6) / 3 - Filip Forsberg of Hurricanes (5-3-8)
[2023-01-04 10:39:10 PM] Pro Game #609 - Auston Matthews from Red Wings has scored a Hat Trick!



Pas de blessure ou de suspension.


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
Saison régulière
28242260133725820949412313002121411132841191301125117962110225846171914097778027080923883873234567194217663567320.51%3685784.51%41588308151.54%1490290251.34%664132350.19%1994137219316111048525
38235230546925423420411910032251311161541161302244123118510525444569914091777525380844824815219563184015813364713.99%3385783.14%21553293552.91%1440271353.08%663127552.00%2032141019346161052525
482362903464219204154120140222110895134116150124311110929821937759607097664725000791875806224961168617392264218.58%2454382.45%21445284950.72%1371268751.02%615120850.91%1988138519476061049524
582223809814205239-3441151404413111121-10417240540194118-247620536957402070596624100797772812230866572917102774415.88%2756476.73%21439285650.39%1410276750.96%640125051.20%2010139419126031050531
68236250792326023525412012025201331092441161305403127126110226047873816087907427610885930904251974559818283356017.91%2494980.32%11608304952.74%1477280752.62%647121553.25%206514811911577997507
78235330525226123229411616041311361181841191701121125114119426145671724086848127200844928910252470063419332715821.40%2555180.00%41519297251.11%1441285050.56%647128550.35%2004141819395861031512
882273803545193217-244114180223295105-104113200131398112-147819333552868057616820650623697710236070581718483224112.73%3685485.33%41346269349.98%1399280449.89%588119949.04%1937131919996181044517
982194205844198271-73418210361289138-4941112102232109133-246819835455203077625022470740733742239170868218833064013.07%2926079.45%51436281451.03%1392281049.54%616123749.80%1945134219936141049513
10824023074532762383841171403331128120841239041221481183011127647975517106728617269385390089968244769848719012615219.92%2104080.95%01473296049.76%1403280050.11%708130954.09%1982138119435931051528
114921190512115414212251280311084651924911020117077-758154277431144751498157252350551835147740335510501623823.46%1623280.25%0901177250.85%834168449.52%35876047.11%11998411159351612308
Total Saison régulière787313296050483842227822215739416414002628191711561100563931491560242019251122112118922278403163091349153785711566242141376785280596675228156537677017239285249517.36%276250781.64%24143082798151.13%136572682450.91%61461206150.96%191601334618672577999864994
Séries éliminatoires
240400000917-82020000047-320200000510-509152400016213504733441504955851218.33%20670.00%17014747.62%7616446.34%277038.57%9260114335424
313670000034322615000001215-3752000002217512346094010816939201121271213751261842285259.62%51492.16%125349251.42%24547951.15%9419847.47%32722635410717988
4126600000414106420000020191624000002122-1124171112000121512421012917210838310099324421228.57%43979.07%023546150.98%18941845.22%10420351.23%2972082838615677
6106400000312925410000018144523000001315-21231518200091463680991171203701139528545920.00%37975.68%021241251.46%20742249.05%7215845.57%2681912587613468
1012750000039327743000002320353200000161241439681070111151304611251421296546712411032040922.50%43393.02%127151752.42%26952451.34%13222458.93%3202213359817185
Total Séries éliminatoires512526000001541513261313000007775225121300000777615015426541902114564291777125529578458174551254312421913618.85%1943184.02%31041202951.31%986200749.13%42985350.29%13069091346402695345