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Red Wings
GP: 14 | W: 7 | L: 6 | OTL: 1 | P: 15
GF: 43 | GA: 46 | PP%: 18.37% | PK%: 69.09%
DG: Cedric Morin | Morale : 40 | Moyenne d’équipe : 68
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Centre de jeu
Red Wings
7-6-1, 15pts
3
FINAL
1 Senators
7-7-0, 14pts
Team Stats
OTW1StreakL1
2-4-1Home Record4-3-0
5-2-0Away Record3-4-0
6-3-1Last 10 Games5-5-0
3.07Buts par match 2.71
3.29Buts contre par match 2.86
18.37%Pourcentage en avantage numérique25.45%
69.09%Pourcentage en désavantage numérique75.86%
Red Wings
7-6-1, 15pts
4
FINAL
3 Maple Leafs
4-8-2, 10pts
Team Stats
OTW1StreakOTL1
2-4-1Home Record1-5-1
5-2-0Away Record3-3-1
6-3-1Last 10 Games2-7-1
3.07Buts par match 2.71
3.29Buts contre par match 3.50
18.37%Pourcentage en avantage numérique23.08%
69.09%Pourcentage en désavantage numérique72.55%
Meneurs d'équipe
Buts
Dylan Larkin
8
Passes
Dylan Larkin
14
Points
Dylan Larkin
22
Plus/Moins
Dylan Larkin
8
Victoires
Ville Husso
7
Pourcentage d’arrêts
Ville Husso
0.91

Statistiques d’équipe
Buts pour
43
3.07 GFG
Tirs pour
469
33.50 Avg
Pourcentage en avantage numérique
18.4%
9 GF
Début de zone offensive
37.9%
Buts contre
46
3.29 GAA
Tirs contre
481
34.36 Avg
Pourcentage en désavantage numérique
69.1%%
17 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralCedric Morin
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineDylan Larkin
Assistant #1Moritz Seider
Assistant #2David Perron


Informations de l’aréna

NomLittle Caesars Arena
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro24
Équipe Mineure24
Limite contact 48 / 250
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel10,000,000$
Compte bancaire projeté10,000,000$


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 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
1Dylan Larkin (C)X100.0067528396738193919686887940737386407902716,100,000$
2David Perron (A)XX100.0078448280737492913079806363878878407403524,750,000$
3Andrew CoppXXX100.0063529083767894728879608063737671407102955,625,000$
4Lucas RaymondXX100.0067418990637695833379746580606076407102123,425,000$
5Dominik KubalikXX100.0076439086676997784375766425656576407002822,500,000$
6Alex ChiassonX100.006943907878627579266281613676787440680331750,000$
7Pius SuterXX100.0065419780646798606561717775636371406702713,250,000$
8Alexandre Doucet (R)X100.0054508274718395787170725776545490406702110$
9Joseph VelenoX100.0084458880716396617262606725606066406402311,212,917$
10Jonatan Berggren (R)XX100.006141916965658973446573622552527040640232925,000$
11Filip ZadinaXX100.0069428980686570683461596925626265406302331,825,000$
12Austin CzarnikXX100.006741908061598163625759682564646440620302762,500$
13Matt LuffX100.007744996873556755256060662557576440590261750,000$
14Moritz Seider (A)X100.0090468586778899882570489125606072407702221,713,333$
15Quinn HughesX100.0063418692629594992583507925656572407502357,850,000$
16Ben ChiarotX100.0084568174858192602553498980747865407303244,750,000$
17Jake WalmanX100.0069528074658074692551568925626367406902711,050,000$
18Bowen ByramX100.0084767586738558682565647825555672406902210$
19Robert HaggX100.009447807575686860255048752565656140660281800,000$
20Pierre-Olivier JosephX100.007744837270678766255549692556566240640242825,000$
21Jordan OesterleX100.0071538877676866572552486925666660406303111,350,000$
Rayé
1Robby FabbriXX82.3483447881687361763976766725676775406802734,000,000$
Équipe Mineure
1Ryan PoehlingXX100.0076449474756276607361649025595970406602410$
2Zach Aston-ReeseXX100.0086558977735990594455647525656768406502910$
3Elmer Soderblom (R)XX100.007546887093626470326275642545457040640223925,000$
4Tyler PitlickX100.0082459277755667604462606925666666406303110$
5Drew O'Connor (R)X100.0079459170775678624261607525484966406302510$
6Radim ZohornaXXX100.0082857568857275617660586855474763406302710$
7Taro HiroseX100.007059946959849064506558645550506540630272850,000$
8Joel Teasdale (R)XX100.0075708668706769625053666463444465406002410$
9Fabian Lysell (R)X100.0066627565626769635061616058444463405902031,065,000$
10Ryan DzingelXXX100.0074708278705050556953486746666657405903110$
11Cross Hanas (R)X100.006762796462636460505461605844446240580213925,000$
12Samuel Poulin (R)XX100.007975876375606352653862645944446040560222863,333$
13Shane Bowers (R)X100.0072649166646164536650516048444457405602410$
14Ty SmithX100.0070648484647073592550516448585861406302310$
15Simon Edvinsson (R)X100.0074757378756569532550426140444456406002031,775,000$
16Jared McIsaac (R)X100.007469856769768351254641613944445540600231896,667$
17Wyatt Newpower (R)X100.007273716073677345253440583844445040560251800,000$
18Donovan Sebrango (R)X100.007469856369646946253443604144445240560213902,500$
19Albert Johansson (R)X100.006762796462657048253942574044445240550222919,167$
20Eemil Viro (R)X100.007162916462616645253639583744445040550213902,500$
21Seth Barton (R)X100.007470846770495145253441593944445140540241832,500$
MOYENNE D’ÉQUIPE99.20734786807073847342666472396465714068
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
1Ville Husso100.006778757965687167656768575868406702834,750,000$
2Magnus Hellberg (R)100.00605856836554696165607546466240610321750,000$
Rayé
Équipe Mineure
1Matt Murray100.006754557472637069716786636467406602910$
2Alex Nedeljkovic100.006167657069526961656075565763406202710$
3Justus Annunen (R)100.006056708562625664616030444460406002310$
MOYENNE D’ÉQUIPE100.0064686681656170646564725252654064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Dylan LarkinRed WingsC14814228140232768235211.76%731122.283479430000392055.93%481207001.4100000410
2David PerronRed WingsLW/RW148816720021158121419.88%630621.8814513430001361036.36%22134011.0400000004
3Quinn HughesRed WingsD14410143120223236111111.11%1337326.662131149011143110.00%0911000.7500000000
4Moritz SeiderRed WingsD14268316024192315148.70%1637126.53224449000041000.00%0511000.4300000010
5Dominik KubalikRed WingsLW/RW14268-1602364114194.88%423216.610113330110111125.00%8105000.6900000000
6Lucas RaymondRed WingsLW/RW14336-46017103713238.11%223216.641014330000120011.11%986000.5200000010
7Andrew CoppRed WingsC/LW/RW1423572017171691812.50%829721.260221441121290053.85%2649000.3400000010
8Joseph VelenoRed WingsC1423530099216109.52%11168.3500000000051060.47%4361000.8600000011
9Filip ZadinaRed WingsLW/RW1423520094209710.00%41138.1300000000000157.14%751000.8800000002
10Alex ChiassonRed WingsRW14325-3201062671411.54%315611.2000001000010071.43%773000.6400000000
11Austin CzarnikRed WingsC/RW141342007719895.26%11138.100000000000000.00%170000.7100000100
12Alexandre DoucetRed WingsC14314-24013192781511.11%216912.12000001011191044.05%8491000.4700000010
13Ben ChiarotRed WingsD14033310018911770.00%1126118.70011029000025000.00%028000.2300000000
14Jonatan BerggrenRed WingsLW/RW14123-32011101031210.00%115010.7400001000000033.33%333000.4000000000
15Jake WalmanRed WingsD14033380131210380.00%1725418.16000029000027000.00%017000.2400000001
16Pius SuterRed WingsC/LW14101-300121711249.09%421515.43000233000010041.76%17013000.0900000001
17Bowen ByramRed WingsD141012121071272414.29%111399.990000000001000.00%018000.1400200000
18Robert HaggRed WingsD14011220592450.00%315110.8300000000017000.00%022000.1300000000
19Pierre-Olivier JosephRed WingsD14000-395041100.00%2715.120000000003000.00%010000.00%00010000
20Jordan OesterleRed WingsD14000-300412100.00%5654.680000000000000.00%004000.00%00000000
21Robby FabbriRed WingsC/LW1000-100100000.00%21111.5300000000000033.33%900000.00%00000000
22Matt LuffRed WingsRW14000100000000.00%090.710000200000000.00%500000.00%00000000
Statistiques d’équipe totales ou en moyenne295437111423125152662454691672739.17%123412914.00915244739723543197350.40%87511494010.5500210569
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
1Ville HussoRed Wings147610.9103.008200041455253110.00%0140300
2Magnus HellbergRed Wings10000.84010.00240042510000.00%0014000
Statistiques d’équipe totales ou en moyenne157610.9063.2084400454802631101414300


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 Waiver Possible Contrat Type Salaire actuel Salaire moyenPlafond 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
Alex ChiassonRed WingsRW331990-10-01No208 Lbs6 ft4NoNoNoNo1Pro Only750,000$750,000$0$0$NoLien
Alexandre DoucetRed WingsC212002-01-12 9:45:41 AMYes180 Lbs6 ft5NoNoNoNo1Pro & Farm0$0$No
Andrew CoppRed WingsC/LW/RW291994-07-07No206 Lbs6 ft1NoNoNoNo5Pro Only5,625,000$5,625,000$0$0$No5,625,000$5,625,000$5,625,000$5,625,000$Lien
Austin CzarnikRed WingsC/RW301992-12-11No170 Lbs5 ft9NoNoNoNo2Pro Only762,500$762,500$0$0$No762,500$Lien
Ben ChiarotRed WingsD321991-05-08No234 Lbs6 ft3NoNoNoNo4Pro Only4,750,000$4,750,000$0$0$No4,750,000$4,750,000$4,750,000$Lien
Bowen ByramRed WingsD222001-06-12No195 Lbs6 ft0NoNoNoNo1Pro Only0$0$NoLien
David PerronRed WingsLW/RW351988-05-28No200 Lbs6 ft0NoNoNoNo2Pro Only4,750,000$4,750,000$0$0$No4,750,000$Lien
Dominik KubalikRed WingsLW/RW281995-08-21No179 Lbs6 ft2NoNoNoNo2Pro Only2,500,000$2,500,000$0$0$No2,500,000$Lien
Dylan LarkinRed WingsC271996-07-30No198 Lbs6 ft1NoNoNoNo1Pro Only6,100,000$6,100,000$0$0$NoLien
Filip ZadinaRed WingsLW/RW231999-11-27No189 Lbs6 ft0NoNoNoNo3Pro Only1,825,000$1,825,000$0$0$No1,825,000$1,825,000$Lien
Jake WalmanRed WingsD271996-02-20No170 Lbs6 ft1NoNoNoNo1Pro Only1,050,000$1,050,000$0$0$NoLien
Jonatan BerggrenRed WingsLW/RW232000-07-16Yes183 Lbs5 ft10NoNoNoNo2Pro Only925,000$925,000$0$0$No925,000$Lien
Jordan OesterleRed WingsD311992-06-25No182 Lbs6 ft0NoNoNoNo1Pro Only1,350,000$1,350,000$0$0$NoLien
Joseph VelenoRed WingsC232000-01-13No191 Lbs6 ft1NoNoNoNo1Pro Only1,212,917$1,212,917$0$0$NoLien
Lucas RaymondRed WingsLW/RW212002-03-28No170 Lbs5 ft11NoNoNoNo2Pro Only3,425,000$3,425,000$0$0$No3,425,000$Lien
Magnus HellbergRed WingsG321991-04-04Yes190 Lbs6 ft5NoNoNoNo1Pro Only750,000$750,000$0$0$NoLien
Matt LuffRed WingsRW261997-05-05No196 Lbs6 ft2NoNoNoNo1Pro Only750,000$750,000$0$0$NoLien
Moritz SeiderRed WingsD222001-04-06No208 Lbs6 ft3NoNoNoNo2Pro Only1,713,333$1,713,333$0$0$No1,713,333$Lien
Pierre-Olivier JosephRed WingsD241999-07-01No185 Lbs6 ft2NoNoNoNo2Pro Only825,000$825,000$0$0$No825,000$Lien
Pius SuterRed WingsC/LW271996-05-24No176 Lbs5 ft11NoNoNoNo1Pro Only3,250,000$3,250,000$0$0$NoLien
Quinn HughesRed WingsD231999-10-14No170 Lbs5 ft10NoNoNoNo5Pro Only7,850,000$7,850,000$0$0$No7,850,000$7,850,000$7,850,000$7,850,000$Lien
Robby FabbriRed WingsC/LW271996-01-22No190 Lbs5 ft10NoNoNoNo3Pro Only4,000,000$4,000,000$0$0$No4,000,000$4,000,000$Lien
Robert HaggRed WingsD281995-02-08No204 Lbs6 ft2NoNoNoNo1Pro Only800,000$800,000$0$0$NoLien
Ville HussoRed WingsG281995-02-05No205 Lbs6 ft2NoNoNoNo3Pro Only4,750,000$4,750,000$0$0$No4,750,000$4,750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.75191 Lbs6 ft12.002,488,073$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
59,713,750$43,700,833$28,800,000$18,225,000$13,475,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1David PerronDylan LarkinAndrew Copp40122
2Lucas RaymondPius SuterDominik Kubalik30122
3Jonatan BerggrenAlexandre DoucetAlex Chiasson20122
4Filip ZadinaJoseph VelenoAustin Czarnik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderQuinn Hughes40122
2Ben ChiarotJake Walman30122
3Bowen ByramRobert Hagg20122
4Pierre-Olivier JosephJordan Oesterle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1David PerronDylan LarkinAndrew Copp60122
2Lucas RaymondPius SuterDominik Kubalik40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderQuinn Hughes60122
2Ben ChiarotJake Walman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan LarkinDavid Perron60122
2Andrew CoppLucas Raymond40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderQuinn Hughes60122
2Ben ChiarotJake Walman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Larkin60122Moritz SeiderQuinn Hughes60122
2David Perron40122Ben ChiarotJake Walman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan LarkinDavid Perron60122
2Andrew CoppLucas Raymond40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderQuinn Hughes60122
2Ben ChiarotJake Walman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David PerronDylan LarkinAndrew CoppMoritz SeiderQuinn Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David PerronDylan LarkinAndrew CoppMoritz SeiderQuinn Hughes
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Luff, Alex Chiasson, Alexandre DoucetMatt Luff, Alex ChiassonAlexandre Doucet
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Bowen Byram, Robert Hagg, Pierre-Olivier JosephBowen ByramRobert Hagg, Pierre-Olivier Joseph
Tirs de pénalité
Dylan Larkin, David Perron, Andrew Copp, Lucas Raymond, Dominik Kubalik
Gardien
#1 : Ville Husso, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Dylan Larkin, David Perron, Andrew Copp, Lucas Raymond, Dominik Kubalik, Alex Chiasson, Alex Chiasson, Pius Suter, Alexandre Doucet, Jonatan Berggren, Joseph Veleno
Lignes de défense personnalisées en prolongation
Moritz Seider, Quinn Hughes, Ben Chiarot, Jake Walman, Bowen Byram


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
1Bruins20200000312-91010000024-21010000018-700.0003580010206416173106720163513215.38%8625.00%015833047.88%15932049.69%12422156.11%442540173518
2Canadiens2020000069-31010000046-21010000023-100.0006111700123057191919090131842400.00%9366.67%015833047.88%15932049.69%12422156.11%402445173416
3Lightning220000001156110000006151100000054141.000111526001550651928180591626326116.67%8187.50%115833047.88%15932049.69%12422156.11%432442183416
4Maple Leafs21001000743110000003121000100043141.00071219002311772723234531014339222.22%7271.43%115833047.88%15932049.69%12422156.11%493035163517
5Panthers2110000045-11010000013-21100000032120.50045910004068191534065181236300.00%60100.00%015833047.88%15932049.69%12422156.11%402345173415
6Sabres210001006511000010034-11100000031230.75061218002220741727291652223469333.33%9277.78%015833047.88%15932049.69%12422156.11%452643193516
7Senators211000006601010000035-21100000031220.50061117002220642818180822416425120.00%8362.50%015833047.88%15932049.69%12422156.11%402446173316
Total1466011004346-3724001002224-2742010002122-1150.536437111410914191469145147172548112312526649918.37%551769.09%215833047.88%15932049.69%12422156.11%304179298125242118
_Since Last GM Reset1466011004346-3724001002224-2742010002122-1150.536437111410914191469145147172548112312526649918.37%551769.09%215833047.88%15932049.69%12422156.11%304179298125242118
_Vs Conference1466011004346-3724001002224-2742010002122-1150.536437111410914191469145147172548112312526649918.37%551769.09%215833047.88%15932049.69%12422156.11%304179298125242118
_Vs Division1466011004346-3724001002224-2742010002122-1150.536437111410914191469145147172548112312526649918.37%551769.09%215833047.88%15932049.69%12422156.11%304179298125242118

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1415OTW1437111446948112312526610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
146611004346
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
72401002224
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74210002122
Derniers 10 matchs
WLOTWOTL SOWSOL
531100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
49918.37%551769.09%2
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
1451471725914191
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
15833047.88%15932049.69%12422156.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
304179298125242118


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
2 - 2023-09-2916Canadiens6Red Wings4BLSommaire du match
3 - 2023-09-3031Red Wings5Lightning4AWSommaire du match
5 - 2023-10-0248Red Wings2Canadiens3ALSommaire du match
7 - 2023-10-0460Panthers3Red Wings1BLSommaire du match
9 - 2023-10-0678Bruins4Red Wings2BLSommaire du match
11 - 2023-10-08100Maple Leafs1Red Wings3BWSommaire du match
12 - 2023-10-09113Red Wings1Bruins8ALSommaire du match
15 - 2023-10-12134Sabres4Red Wings3BLXSommaire du match
16 - 2023-10-13149Red Wings3Sabres1AWSommaire du match
18 - 2023-10-15161Lightning1Red Wings6BWSommaire du match
20 - 2023-10-17171Red Wings3Panthers2AWSommaire du match
23 - 2023-10-20196Senators5Red Wings3BLSommaire du match
26 - 2023-10-23209Red Wings3Senators1AWSommaire du match
27 - 2023-10-24223Red Wings4Maple Leafs3AWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 59,713,750$ 59,713,750$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 0 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 10,000,000$ 10,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
David PerronAGE:35PO:78OV:74
Lucas RaymondAGE:21PO:76OV:71
Andrew CoppAGE:29PO:71OV:71
Dominik KubalikAGE:28PO:76OV:70
Robby FabbriAGE:27PO:75OV:68
Pius SuterAGE:27PO:71OV:67
Ryan PoehlingAGE:24PO:70OV:66
Zach Aston-ReeseAGE:29PO:68OV:65
Jonatan Berggren (R)AGE:23PO:70OV:64
Elmer Soderblom (R)AGE:22PO:70OV:64
Drew O'Connor (R)AGE:25PO:66OV:63
Filip ZadinaAGE:23PO:65OV:63
Taro HiroseAGE:27PO:65OV:63
Radim ZohornaAGE:27PO:63OV:63
Joel Teasdale (R)AGE:24PO:65OV:60
Ryan DzingelAGE:31PO:57OV:59
Cross Hanas (R)AGE:21PO:62OV:58
Samuel Poulin (R)AGE:22PO:60OV:56
Dylan LarkinAGE:27PO:86OV:79
Andrew CoppAGE:29PO:71OV:71
Robby FabbriAGE:27PO:75OV:68
Alexandre Doucet (R)AGE:21PO:90OV:67
Pius SuterAGE:27PO:71OV:67
Ryan PoehlingAGE:24PO:70OV:66
Elmer Soderblom (R)AGE:22PO:70OV:64
Joseph VelenoAGE:23PO:66OV:64
Radim ZohornaAGE:27PO:63OV:63
Austin CzarnikAGE:30PO:64OV:62
Ryan DzingelAGE:31PO:57OV:59
Samuel Poulin (R)AGE:22PO:60OV:56
Shane Bowers (R)AGE:24PO:57OV:56
David PerronAGE:35PO:78OV:74
Lucas RaymondAGE:21PO:76OV:71
Andrew CoppAGE:29PO:71OV:71
Dominik KubalikAGE:28PO:76OV:70
Alex ChiassonAGE:33PO:74OV:68
Zach Aston-ReeseAGE:29PO:68OV:65
Jonatan Berggren (R)AGE:23PO:70OV:64
Tyler PitlickAGE:31PO:66OV:63
Filip ZadinaAGE:23PO:65OV:63
Radim ZohornaAGE:27PO:63OV:63
Austin CzarnikAGE:30PO:64OV:62
Joel Teasdale (R)AGE:24PO:65OV:60
Matt LuffAGE:26PO:64OV:59
Fabian Lysell (R)AGE:20PO:63OV:59
Ryan DzingelAGE:31PO:57OV:59

Défense #1Défense #2Gardien
Moritz SeiderAGE:22PO:72OV:77
Quinn HughesAGE:23PO:72OV:75
Ben ChiarotAGE:32PO:65OV:73
Bowen ByramAGE:22PO:72OV:69
Jake WalmanAGE:27PO:67OV:69
Robert HaggAGE:28PO:61OV:66
Pierre-Olivier JosephAGE:24PO:62OV:64
Ty SmithAGE:23PO:61OV:63
Jordan OesterleAGE:31PO:60OV:63
Simon Edvinsson (R)AGE:20PO:56OV:60
Jared McIsaac (R)AGE:23PO:55OV:60
Donovan Sebrango (R)AGE:21PO:52OV:56
Wyatt Newpower (R)AGE:25PO:50OV:56
Albert Johansson (R)AGE:22PO:52OV:55
Eemil Viro (R)AGE:21PO:50OV:55
Seth Barton (R)AGE:24PO:51OV:54
Ville HussoAGE:28PO:68OV:67
Matt MurrayAGE:29PO:67OV:66
Alex NedeljkovicAGE:27PO:63OV:62
Magnus Hellberg (R)AGE:32PO:62OV:61
Justus Annunen (R)AGE:23PO:60OV:60

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

Choix au repêchage

Année R1R2R3R4R5R6R7
7DET DET DET DET DET DET DET
8DET DET DET DET DET DET DET
9DET DET DET DET DET DET DET
10DET DET DET DET DET DET DET
11DET DET DET DET DET DET DET




La base de données des nouvelles du STHS n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.




Red Wings Historique de transactions

[2023-09-29 9:42:44 PM] - TRADE : From Red Wings to Penguins : Joel L'Esperance (62), Olli Maatta (72).
[2023-09-29 9:42:44 PM] - TRADE : From Penguins to Red Wings : Pierre-Olivier Joseph (65), Samuel Poulin (56).
[2023-09-28 12:58:59 AM] - Matt Murray was added to Red Wings.
[2023-09-25 3:47:06 PM] - Alexandre Doucet was added to Red Wings.
[2023-08-30 10:42:30 PM] - TRADE : From Red Wings to Bruins : Michael Rasmussen (70).
[2023-08-30 10:42:30 PM] - TRADE : From Bruins to Red Wings : Fabian Lysell (59).
[2023-08-22 12:45:54 AM] - Ty Smith was added to Red Wings.
[2023-08-22 12:43:31 AM] - Tyler Pitlick was added to Red Wings.
[2023-08-22 12:43:25 AM] - Joel Teasdale was added to Red Wings.
[2023-08-22 12:43:19 AM] - Joel L'Esperance was added to Red Wings.
[2023-08-22 12:43:15 AM] - Radim Zohorna was added to Red Wings.
[2023-08-22 12:43:10 AM] - Drew O'Connor was added to Red Wings.
[2023-08-22 12:37:05 AM] - TRADE : From Penguins to Red Wings : Ryan Dzingel (59), Shane Bowers (56), Zach Aston-Reese (65).
[2023-08-21 9:38:13 PM] - Ryan Poehling was added to Red Wings.
[2023-08-20 12:59:21 AM] - Justus Annunen was added to Red Wings.
[2023-08-20 12:59:14 AM] - Alex Nedeljkovic was added to Red Wings.
[2023-08-19 10:32:35 PM] - Bowen Byram was added to Red Wings.



[2023-10-03 12:56:13 AM] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:56:13 AM] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:56:11 AM] Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:56:11 AM] Farm Game #218 - Drew O'Connor from Griffins has scored a Hat Trick!
[2023-10-03 12:56:09 AM] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:56:08 AM] Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:56:05 AM] Both Red Wings and Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:56:04 AM] Farm Game #177 - Ryan Poehling from Griffins has scored a Hat Trick!
[2023-10-03 12:56:02 AM] Both Red Wings and Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:56:01 AM] Farm Game #160 - Elmer Soderblom from Griffins has scored a Hat Trick!
[2023-10-03 12:56:01 AM] Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:55:59 AM] Both Red Wings and Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:55:58 AM] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:55:56 AM] Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:55:56 AM] Farm Game #128 - Elmer Soderblom from Griffins has scored a Hat Trick!
[2023-10-03 12:55:54 AM] Both Red Wings and Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:55:53 AM] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:55:50 AM] Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:55:49 AM] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:54:06 AM] Both Red Wings and Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:54:06 AM] Farm Game #66 - Ryan Poehling from Griffins has scored a Hat Trick!
[2023-10-03 12:54:04 AM] Griffins lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:54:03 AM] Farm Game #50 - Drew O'Connor from Griffins has scored a Hat Trick!
[2023-10-03 12:54:03 AM] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2023-10-03 12:54:01 AM] Griffins lines for next game are empty. Current rosters/lines are not erased.



Robby Fabbri est dehors pour 2 semaines à cause de Strained Left Elbow Injury.



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