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Red Wings
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Martin Dufour | Morale : 50 | Moyenne d’équipe : 69

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMartin Dufour
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison2,400


Informations de la formation

Équipe Pro41
Équipe Mineure18
Limite Contrat59 / 68
Espoirs54


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique82-68-16 (0.494%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L) -
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Logan O'Connor (R)X100.0092638482718486895197877825908254508003000$
2Dylan Guenther (R)X100.007040829181898192538693742592655550792231894,167$
3Oskar Lindblom (R)X100.0059359970746586884998977925888455507803000$
4Dominik Kubalik (R)X100.0083488571737083994694996125937841507803100$
5Pius Suter (R)X100.0068408785718882847488887425917145507703000$
6Teddy Blueger (R)X100.0068637575748983808181739125888650507503211,500,000$
7A.J. Greer (R)X100.0083845975848488815075787225788575507302900$
8Wade Allison (R)X100.008659737077787880367375682584714150700281800,000$
9Cole Koepke (R)X100.0087408975828179774069737325766555507022800$
10Elmer Soderblom (R)X100.0080558468978179734366686825706555506822500$
11John Hayden (R)X100.007062597082767466556061672570876950650312575,000$
12Logan Brown (R)X100.004428946582657664546762662579865350640281600,000$
13Juuso Valimaki (R)X100.0064448669767685994097898125888453507702723,000,000$
14Cam York (R)X100.0073408184738279914087828125877146507702512,000,000$
15Jamie Drysdale (R)X100.006355778676918483407876772582756550740241700,000$
16Urho Vaakanainen (R)X100.0064408470798482744076708325768066507202721,500,000$
17Madison Bowey (R)X100.0092809167768178713071666951938732507103121,000,000$
18Justin BraunX100.005431986477739054255050867099991506903911,500,000$
Rayé
1Jeffrey Truchon-Viel (R)X100.008083587283837970436764672569756550670291575,000$
2Noah Ostlund (R)X100.005641737661576071456968672566514950630222886,667$
3Isaac Howard (R)X100.006040817576806568406363602569555050630223950,000$
4Par Lindholm (R)X100.002813997070678353865251806199891250620342575,000$
5Danil Gushchin (R)X100.0054436868666563674563645125685348505922400$
6Milos Kelemen (R)X100.0064456260796463634360595825685945505922700$
7Gabriel Fortier (R)X100.005232787270576355575348622570584350570262575,000$
8Fredrik Karlstrom (R)X100.0054328069745964545252476025696142505612800$
9Connor Bunnaman (R)X100.0051299962764466346052476825767553505402800$
10Scott Reedy (R)X100.008076896178535356703838655752525350530272575,000$
11Matthew Schaefer (R)X100.006740749581937592408191882593555050790193975,000$
12Kaedan Korczak (R)X100.007540847585858374407566772572706050720252800,000$
13Zeev Buium (R)X100.006555737778887577407772642575555050690203966,500$
14Joe MorrowX100.0050209965746972713065727554948348506703300$
15Dylan Coghlan (R)X100.006242707177766868406465762573685850670281600,000$
16Sami Niku (R)X100.006232857372624855246358692583803750630291575,000$
17Isaiah George (R)X100.006442716865636569406463682572555050630222838,833$
18Lassi Thomson (R)X100.006045647264676566406365672569555050620262575,000$
19Tyson Hinds (R)X100.006342727163656363405954682563515050610233829,444$
20Simon Lundmark (R)X100.006042716564666460405552622559535050580253812,500$
MOYENNE D’ÉQUIPE100.00664680727574747246706871297970495068
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Joel Hofer (R)100.009287898191969796968550786756508702621,500,000$
2Justus Annunen (R)100.008285868885928490908550827060508402621,500,000$
Rayé
1Josef Korenar (R)100.00707671757296979190737279834750800281900,000$
MOYENNE D’ÉQUIPE100.0081838281839593929281578073545084
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
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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
A.J. GreerRed Wings (DET)LW291996-12-14CANYes215 Lbs6 ft2NoNoTrade2025-09-01NoNo0FalseFalsePro & Farm0$0$No---------------------------
Cam YorkRed Wings (DET)D252001-01-05USAYes194 Lbs6 ft0NoNoN/ANoNo12024-09-08FalseFalsePro & Farm2,000,000$2,000,000$0$0$No---------------------------
Cole KoepkeRed Wings (DET)LW281998-05-17USAYes207 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Connor BunnamanRed Wings (DET)C281998-04-16CANYes207 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Danil GushchinRed Wings (DET)RW242002-06-02RUSYes181 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Dominik KubalikRed Wings (DET)LW311995-08-21CZEYes192 Lbs6 ft2NoNoN/ANoNo02025-08-10FalseFalsePro & Farm0$0$No---------------------------
Dylan CoghlanRed Wings (DET)D281998-02-19CANYes205 Lbs6 ft2NoNoN/ANoNo12024-09-08FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------
Dylan GuentherRed Wings (DET)LW232003-04-10CANYes191 Lbs6 ft1NoNoAssign ManuallyNoNo12024-08-17FalseFalsePro & Farm894,167$894,167$0$0$No---------------------------
Elmer SoderblomRed Wings (DET)RW252001-07-05SWEYes252 Lbs6 ft8NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Fredrik KarlstromRed Wings (DET)C281998-01-12SWEYes194 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Gabriel FortierRed Wings (DET)LW262000-02-06CANYes172 Lbs5 ft10NoNoN/ANoNo22025-08-10FalseFalsePro & Farm575,000$575,000$0$0$No575,000$--------575,000$--------No--------
Isaac HowardRed Wings (DET)LW222004-03-30USAYes180 Lbs5 ft10NoNoAssign ManuallyNoNo32026-09-19FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Isaiah GeorgeRed Wings (DET)D222004-02-15CANYes196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-06FalseFalsePro & Farm838,833$838,833$0$0$No838,833$--------838,833$--------No--------
Jamie DrysdaleRed Wings (DET)D242002-04-08CANYes185 Lbs5 ft11NoNoN/ANoNo12024-09-08FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------
Jeffrey Truchon-VielRed Wings (DET)LW291997-01-28CANYes214 Lbs6 ft1NoNoTrade2024-12-22NoNo12024-09-18FalseFalsePro & Farm575,000$575,000$0$0$No---------------------------
Joe MorrowRed Wings (DET)D331992-12-09CANNo196 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Joel HoferRed Wings (DET)G262000-07-30CANYes193 Lbs6 ft5NoNoN/ANoNo22025-08-10FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------
John HaydenRed Wings (DET)C311995-02-14USAYes223 Lbs6 ft3NoNoN/ANoNo22025-08-10FalseFalsePro & Farm575,000$575,000$0$0$No575,000$--------575,000$--------No--------
Josef KorenarRed Wings (DET)G281998-01-31CZEYes185 Lbs6 ft1NoNoN/ANoNo12024-09-08FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------
Justin BraunRed Wings (DET)D391987-02-10USANo208 Lbs6 ft2NoNoFree AgentNoNo12024-10-06FalseFalsePro & Farm1,500,000$1,500,000$0$0$No---------------------------
Justus AnnunenRed Wings (DET)G262000-03-11FINYes210 Lbs6 ft4NoNoN/ANoNo22025-08-10FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------
Juuso ValimakiRed Wings (DET)D271998-10-06FINYes205 Lbs6 ft2NoNoN/ANoNo22025-08-10FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------
Kaedan KorczakRed Wings (DET)D252001-01-29CANYes206 Lbs6 ft3NoNoN/ANoNo22025-08-10FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------800,000$--------No--------
Lassi ThomsonRed Wings (DET)D262000-09-24FINYes195 Lbs6 ft0NoNoN/ANoNo22025-08-10FalseFalsePro & Farm575,000$575,000$0$0$No575,000$--------575,000$--------No--------
Logan BrownRed Wings (DET)C281998-03-05USAYes218 Lbs6 ft6NoNoN/ANoNo12024-09-08FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------
Logan O'ConnorRed Wings (DET)RW301996-08-14CANYes175 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Madison BoweyRed Wings (DET)D311995-04-22CANYes198 Lbs6 ft2NoNoN/ANoNo22025-08-10FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------
Matthew SchaeferRed Wings (DET)D192007-09-05CANYes186 Lbs6 ft2NoNoAssign ManuallyNoNo32026-09-19FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Milos KelemenRed Wings (DET)RW271999-07-06SLVYes218 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Noah OstlundRed Wings (DET)C222004-03-11SWEYes165 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-06FalseFalsePro & Farm886,667$886,667$0$0$No886,667$--------886,667$--------No--------
Oskar LindblomRed Wings (DET)RW301996-08-15SWEYes191 Lbs6 ft1NoNoN/ANoNo02024-09-08FalseFalsePro & Farm0$0$No---------------------------
Par LindholmRed Wings (DET)LW341991-10-05SWEYes183 Lbs5 ft11NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm575,000$575,000$0$0$No575,000$--------575,000$--------No--------
Pius SuterRed Wings (DET)C301996-05-24SUIYes172 Lbs5 ft11NoNoN/ANoNo02024-09-08FalseFalsePro & Farm0$0$No---------------------------
Sami NikuRed Wings (DET)D291996-10-10FINYes176 Lbs6 ft1NoNoN/ANoNo12025-08-10FalseFalsePro & Farm575,000$575,000$0$0$No---------------------------
Scott ReedyRed Wings (DET)C271999-04-04USAYes214 Lbs6 ft2NoNoN/ANoNo22025-08-10FalseFalsePro & Farm575,000$575,000$0$0$No575,000$--------575,000$--------No--------
Simon LundmarkRed Wings (DET)D252000-10-08SWEYes190 Lbs6 ft2NoNoAssign ManuallyNoNo32026-09-19FalseFalsePro & Farm812,500$812,500$0$0$No812,500$812,500$-------812,500$812,500$-------NoNo-------
Teddy BluegerRed Wings (DET)C321994-08-15LVAYes185 Lbs6 ft0NoNoN/ANoNo12024-09-08FalseFalsePro & Farm1,500,000$1,500,000$0$0$No---------------------------
Tyson HindsRed Wings (DET)D232003-03-12CANYes179 Lbs6 ft3NoNoAssign ManuallyNoNo32026-09-19FalseFalsePro & Farm829,444$829,444$0$0$No829,444$829,444$-------829,444$829,444$-------NoNo-------
Urho VaakanainenRed Wings (DET)D271999-01-01FINYes205 Lbs6 ft2NoNoN/ANoNo22025-08-10FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------
Wade AllisonRed Wings (DET)RW281997-10-14CANYes205 Lbs6 ft2NoNoN/ANoNo12024-09-08FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------
Zeev BuiumRed Wings (DET)D202005-12-07USAYes183 Lbs6 ft0NoNoAssign ManuallyNoNo32026-09-19FalseFalsePro & Farm966,500$966,500$0$0$No966,500$966,500$-------966,500$966,500$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4127.20196 Lbs6 ft11.27709,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KubalikPius SuterLogan O'Connor35122
2Dylan GuentherTeddy BluegerOskar Lindblom35122
3A.J. GreerJohn HaydenWade Allison25122
4Cole KoepkeLogan BrownElmer Soderblom5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiCam York35122
2Urho VaakanainenJamie Drysdale35122
3Justin BraunMadison Bowey30122
4Juuso ValimakiCam York0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KubalikPius SuterLogan O'Connor60122
2Dylan GuentherTeddy BluegerOskar Lindblom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiCam York60122
2Urho VaakanainenJamie Drysdale40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan O'ConnorDominik Kubalik60122
2Oskar LindblomDylan Guenther40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiCam York60122
2Urho VaakanainenJamie Drysdale40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan O'Connor60122Juuso ValimakiCam York60122
2Dominik Kubalik40122Urho VaakanainenJamie Drysdale40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan O'ConnorDominik Kubalik60122
2Oskar LindblomDylan Guenther40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiCam York60122
2Urho VaakanainenJamie Drysdale40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KubalikPius SuterLogan O'ConnorJuuso ValimakiCam York
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KubalikPius SuterLogan O'ConnorJuuso ValimakiCam York
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
A.J. Greer, Wade Allison, Cole KoepkeA.J. Greer, Wade AllisonCole Koepke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Braun, Madison Bowey, Urho VaakanainenJustin BraunMadison Bowey, Urho Vaakanainen
Tirs de pénalité
Logan O'Connor, Dominik Kubalik, Oskar Lindblom, Dylan Guenther, Pius Suter
Gardien
#1 : Joel Hofer, #2 : Justus Annunen
Lignes d’attaque personnalisées en prolongation
Logan O'Connor, Dominik Kubalik, Oskar Lindblom, Dylan Guenther, Pius Suter, Teddy Blueger, A.J. Greer, Wade Allison, Cole Koepke, Elmer Soderblom
Lignes de défense personnalisées en prolongation
Juuso Valimaki, Cam York, Urho Vaakanainen, Jamie Drysdale, Justin Braun


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
TotalDomicile Visiteur
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,907,812$ 2,907,812$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
Saison régulière
1982353504233260263-3411915031211451261941162001112115137-2289260435695227191917264188487386935260187059020112354418.72%2074180.19%21057205151.54%970198848.79%611126648.26%1803107417607191392699
2082343303336272284-1241181601123143141241161702213129143-14892724707421078101879259287591777664262685383620132303816.52%2304580.43%2997198450.25%899189447.47%617128248.13%1775105917977271402699
Total Saison régulière164696807569532547-15823731042442882672182323703325244280-361785329051437321491921781652331759179016459952271723142640244658217.63%4378680.32%42054403550.90%1869388248.15%1228254848.19%357921343557144727941398
Séries éliminatoires
Total Séries éliminatoires00000000000000%0%0%0%0%000000

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