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Red Wings
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Yannick Hogue | Morale : 70 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralYannick Hogue
EntraîneurLindy Ruff
DivisionAtlantique
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro12
Équipe Mineure19
Limite contact 31 / 60
Espoirs24


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique77-77-14 (0.458%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)2-8
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
1Vinnie HinostrozaXX100.006660917766777866706973677064640877102821,000,000$
2Jujhar KhairaXX100.009280827090756867856566806762620907002811,000,000$
3Jonathan Dahlen (R)XX100.00626095796878817970667265765555090700242900,000$
4Emil Bemstrom (R)XX100.00686098777371607570647064735555090680232900,000$
5Jeffrey VielX100.00818060707965606670626566665555090650251900,000$
6Mike Hardman (R)XX100.00866088708466606770646067645555090650233900,000$
7Luke JohnsonX100.00796091747360606986606564675555090640282900,000$
8C.J. SmithXX100.00606060706860606070606060605555090620272900,000$
9Radim SimekX100.008060937078677067506366736757570906803011,200,000$
10Jalen ChatfieldX100.00716087707560606850626071645555081650262900,000$
Rayé
MOYENNE D’ÉQUIPE100.0075648573756866686964666867575708967
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
1Spencer Martin100.0080667281666663667166666968086672272900,000$
2Jimmy Howard100.0077606083606060606060609588087652381900,000$
Rayé
MOYENNE D’ÉQUIPE100.007963668263636263666363827808766
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff78858682959080CAN6112,000,000$


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 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 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
C.J. SmithRed Wings (DET)LW/RW271994-12-01No185 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Emil BemstromRed Wings (DET)LW/RW231999-07-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Jalen ChatfieldRed Wings (DET)D261996-05-15No188 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Jeffrey VielRed Wings (DET)LW251997-01-28No197 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Jimmy HowardRed Wings (DET)G381984-03-26No218 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Jonathan DahlenRed Wings (DET)C/LW241997-12-20Yes176 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Jujhar KhairaRed Wings (DET)C/LW281994-08-13No214 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Luke JohnsonRed Wings (DET)C281994-09-19No174 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Mike HardmanRed Wings (DET)LW/RW231999-02-05Yes205 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Radim SimekRed Wings (DET)D301992-09-20No200 Lbs5 ft11NoNoNo1Pro & Farm1,200,000$0$0$NoLien
Spencer MartinRed Wings (DET)G271995-06-08No191 Lbs6 ft3NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Vinnie HinostrozaRed Wings (DET)LW/RW281994-04-03No173 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1227.25193 Lbs6 ft01.75941,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vinnie HinostrozaJonathan DahlenEmil Bemstrom40122
2Mike HardmanJujhar KhairaC.J. Smith30122
3Jeffrey VielLuke Johnson20122
4Jonathan DahlenVinnie HinostrozaJujhar Khaira10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekJalen Chatfield40122
230122
320122
4Radim SimekJalen Chatfield10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vinnie HinostrozaJonathan DahlenEmil Bemstrom60122
2Mike HardmanJujhar KhairaC.J. Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekJalen Chatfield60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vinnie HinostrozaJonathan Dahlen60122
2Jujhar KhairaEmil Bemstrom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekJalen Chatfield60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vinnie Hinostroza60122Radim SimekJalen Chatfield60122
2Jonathan Dahlen4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vinnie HinostrozaJonathan Dahlen60122
2Jujhar KhairaEmil Bemstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekJalen Chatfield60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vinnie HinostrozaJonathan DahlenEmil BemstromRadim SimekJalen Chatfield
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vinnie HinostrozaJonathan DahlenEmil BemstromRadim SimekJalen Chatfield
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeffrey Viel, Luke Johnson, Mike HardmanJeffrey Viel, Luke JohnsonMike Hardman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Radim Simek, Jalen Chatfield, Radim SimekJalen Chatfield,
Tirs de pénalité
Vinnie Hinostroza, Jonathan Dahlen, Jujhar Khaira, Emil Bemstrom, Mike Hardman
Gardien
#1 : Spencer Martin, #2 : Jimmy Howard


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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 billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,130,000$ 1,130,000$ 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 (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
1Emil Bemstrom16378105183424015835265012.00%51340920.921230421260001312242.2521.0716
2Jujhar Khaira1476088148211675614216169.74%90304920.751121328210168457.1720.9704
3John Moore11039921312412831819434111.44%179253923.091826441711013330.00%11.0300
4Radim Simek1643297129-141444642263688.70%280336120.491425391690112300.00%00.7700
5Madison Bowey1543188119-81072732253239.60%203324021.041717341680332310.00%10.7300

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
1Hunter Miska94414140.8844.244785211338290601210.7789
2Adam Wilcox101363660.9004.4051134037537490120.69213

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
482343904212321348-2741191502212164167-341152402000157181-248232154786811127871025321310241062110332297192763420433137323.32%2717373.06%31741307256.67%1502268156.02%794141256.23%2028145519205681005504
202182323805313326373-47411816031121731621141142202201153211-5882326591917201361117373187103610831043383687103856921262356628.09%2626475.57%31441296848.55%1587333047.66%720147848.71%186113102097570996483
Total Saison régulière164667709525647721-7482373105324337329882294604201310392-82164647113817853126319817512640020602145214670665819651203416954813925.36%53313774.30%63182604052.68%3089601151.39%1514289052.39%38892765401811392001988
Séries éliminatoires
4514000001823-52110000089-1303000001014-421828460076501816059620178562411526415.38%100100.00%111818165.19%9315460.39%589263.04%12690111356133
2021514000001323-102110000078-130300000615-921324370055301555949470234664814512325.00%22386.36%05816036.25%9922444.20%319134.07%10066136386328
Total Séries éliminatoires1028000003146-15422000001517-2606000001629-1343152830012118033611910810904121227226038718.42%32390.63%117634151.61%19237850.79%8918348.63%2271572477312461

Red Wings Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jujhar Khaira105611-6649325010.00%719619.65011300000048.0011.1200
2John Moore104590220182218.18%1923323.40112101011000.00%00.7700
3Benoit Pouliot5437403192218.18%011723.44101701100074.1901.1900
4Jonathan Dahlen5437-245192615.38%111322.73112400000143.0901.2300
5Jordan Schmaltz5145-561912812.50%147915.8100000000000.00%01.2600

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
1Hunter Miska51400.8714.6329800231780000.00%0
2Adam Wilcox51400.9024.6030080232340000.00%0