Connexion

Red Wings
GP: 19 | W: 11 | L: 8
GF: 67 | GA: 55 | PP%: 21.13% | PK%: 87.85%
DG: Eric Poulin | Morale : 99 | Moyenne d’équipe : 76
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Centre de jeu
Red Wings
11-8-0, 22pts
3
FINAL
4 Oilers
15-12-0, 30pts
Team Stats
L3StreakL2
8-3-0Home Record7-5-0
3-5-0Away Record8-7-0
5-4-1Last 10 Games6-3-1
3.53Goals Per Game3.48
2.89Goals Against Per Game3.15
21.13%Power Play Percentage21.05%
87.85%Penalty Kill Percentage78.79%
Oilers
15-12-0, 30pts
2
FINAL
1 Red Wings
11-8-0, 22pts
Team Stats
L2StreakL3
7-5-0Home Record8-3-0
8-7-0Away Record3-5-0
6-3-1Last 10 Games5-4-1
3.48Goals Per Game3.53
3.15Goals Against Per Game2.89
21.05%Power Play Percentage21.13%
78.79%Penalty Kill Percentage87.85%
Meneurs d'équipe
Buts
Nino Niederreiter
12
Passes
Nino Niederreiter
13
Points
Nino Niederreiter
25
Plus/Moins
Philip Samuelsson
6
Victoires
Robin Lehner
9
Pourcentage d’arrêts
Mike McKenna
0.921

Statistiques d’équipe
Buts pour
67
3.53 GFG
Tirs pour
580
30.53 Avg
Pourcentage en avantage numérique
21.1%
15 GF
Début de zone offensive
35.8%
Buts contre
55
2.89 GAA
Tirs contre
561
29.53 Avg
Pourcentage en désavantage numérique
87.9%
13 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralEric Poulin
EntraîneurTerry Murray
DivisionStein
ConférencePrince de Galles
CapitaineHenrik Zetterberg
Assistant #1Mike Richards
Assistant #2Ole-Kristian Tollefsen


Informations de l’aréna

NomLittle Caesars arena
Capacité18,000
Assistance18,000
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure33
Limite contact 56 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible121,444,164$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour16,065,500$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel61,444,164$
Compte bancaire projeté61,444,164$


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
1Nino NiederreiterX100.0084418081857782847282857872634948787912423,800,000$
2Kris VersteegX100.0081427779748680817681787585837823847813037,000,000$
3Connor BrownX100.0077318678718878868595785770595055807712222,500,000$
4Henrik Zetterberg (C)X100.0077427473757975857585747274949913817713625,000,000$
5Marko DanoX100.0076418479817678797981816780605160827612233,500,000$
6Mike Richards (A)X100.0075347877757485787679776979858821777613113,000,000$
7Carson McmillanX100.0078308277797778796873727876675825847402821,500,000$
8T.J. HensickX100.0073367474727969807175767271807920817403121,500,000$
9Jordin TootooX100.006957787874707276667377667883771580730331900,000$
10Tye McGinn (R)X100.0078337473796979766879756664757434817302611,750,000$
11Dylan Larkin (R)X100.0067308387648166837275736284524863847202021,000,000$
12Michael HaleyX100.007973727674608069706771767673662284720302950,000$
13Philip SamuelssonX100.0079298485808485826187698072744839847912534,500,000$
14Drew FataX100.0082328075788172845380668462887615817813324,000,000$
15Ole-Kristian Tollefsen (A)X100.0073358475818479795683648367917916767813212,000,000$
16Jiri FischerX100.0074438573827670805276618263928311847713621,500,000$
17Ryan O'ByrneX100.0076398271748276706272678871897215817613221,500,000$
18Jakub KindlX100.0078398277727680786277627668705524647402911,500,000$
Rayé
1Ryane CloweX100.0073377575777374717073826767817814207303411,000,000$
2David KrejciX100.0076488081755273737376716870666321477203011,300,000$
3David RundbladX100.0073247880757876744877737759655633427402611,450,000$
Équipe Mineure
1Jesse JoensuuX100.007434747075727775677667636874642141700291500,000$
2Adam Gaudette (R)X100.006640807557735880646877658247457061690201500,000$
3Brendan Woods (R)X100.006027807377836865727467766454513969690241900,000$
4Lucas Lessio (R)X100.005831777470727175606981646749474369690231600,000$
5Martin Frk (R)X100.006626787167767177737571555947494547680231700,000$
6Garrett Wilson (R)X100.006641707661656574687465666247472754670251500,000$
7Vladislav Namestnikov (R)X100.006830776675697072677270556853563869670241600,000$
8Sonny Milano (R)X100.005930737859725978656967557743436369660203700,000$
9Greg McKegg (R)X100.005936767362616272627168566546463340650242650,000$
10Mathew Barzal (R)X100.005538816861737567807968495346428269650191500,000$
11Troy Terry (R)X100.005632777152614972596161587041416649610191500,000$
12Dmitri Orlov (R)X100.006724787766728482517563695859493658700251995,000$
13Marcus Pettersson (R)X100.006930828363697180438159695452436538700202975,000$
14Phil OreskovicX100.006738757072776574497461755874542170700291750,000$
15Patrick WierciochX100.007033767668687272517060725565513166690261900,000$
16Ryan Pulock (R)X100.006926846661737765457074706853475752680222800,000$
17Ian McCoshen (R)X100.006641767669666465587063706143445472670213700,000$
18Filip Hronek (R)X100.006641817267647065446460676042427363650192500,000$
19Danny Kristo (R)X100.007135737671737275697370667554493451700261750,000$
20Riley ArmstrongX100.007538657070586282677467725979791533700321999,999$
21Tanner Kero (R)X100.006434687066697069576473486754543420640242500,000$
22Tomas Hyka (R)X100.005731716059595958747962515545463321610232450,000$
23Jordan Weal (R)X100.005239676752645965656858575946463320600241550,000$
24Michael Bunting (R)X100.006840606375517063545767495042425121590202500,000$
25Jack Ramsey (R)X100.004638765760736251606458524842424921570201500,000$
26Nikita Pavlychev (R)X100.003810573744455040374530314441413921380191500,000$
27Konrad Abeltshauser (R)X100.006149717070735954386754674946463221640242500,000$
28Ryan Lindgren (R)X100.006233816556635545345544684340407927590182500,000$
29Ryan Mantha (R)X100.005328616162595145424455514342425521520201500,000$
MOYENNE D’ÉQUIPE100.00683676736971707262736766656156385869
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
1Robin Lehner100.008085817683848585838677695840848222515,500,000$
2Mike McKenna100.007170687373767480737779797715847503311,250,000$
Rayé
Équipe Mineure
1Marcus Hogberg100.00587557727463697771625345444038670223500,000$
2Adam Werner (R)100.00735358697749486465537540408131600192500,000$
3Olivier Roy100.00748471736973798070756656513359730251975,000$
4Philippe Desrosiers100.00684663757158506161527243435321600214875,000$
MOYENNE D’ÉQUIPE100.0071696673756768757168705552445370
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Terry Murray70748693958544CAN6222,200,000$


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
1Nino NiederreiterRed WingsRW191213254180292275293816.00%1039420.7637108570000334130.43%462112001.2700000222
2Marko DanoRed WingsLW191013232120301960143416.67%438320.1844810560000191151.52%33511001.2000000110
3Henrik ZetterbergRed WingsC195131843002129567258.93%533617.693581256000000250.12%41737001.0700000011
4Connor BrownRed WingsRW1951015380181746152110.87%528314.92123444000000050.00%1473001.0600000022
5Kris VersteegRed WingsLW199514112031334073022.50%737719.852135430112971049.69%16126010.7400000122
6T.J. HensickRed WingsC1958133180293135131814.29%626914.17000120004491049.77%21993000.9700000202
7Philip SamuelssonRed WingsD19281068015502522138.00%2348225.40134361000267000.00%01412000.4100000000
8Dylan LarkinRed WingsC19538-22019174683210.87%223812.56000141000041046.90%11366010.6700000100
9Jiri FischerRed WingsD19178020191913437.69%2027514.4900001000024000.00%025000.5800000100
10Carson McmillanRed WingsRW1924602020273014206.67%528314.930000101111000042.86%1445000.4200000002
11Jordin TootooRed WingsRW193364408103110219.68%01487.820000000000100.00%541000.8100000000
12Mike RichardsRed WingsC8246140881241216.67%111614.51101216000002050.79%6322001.0300000100
13Ryan O'ByrneRed WingsD1906641401636251590.00%3644023.17000010002100000.00%0215000.2700000000
14Drew FataRed WingsD190554180283412760.00%1743622.97022262000099000.00%01114000.2300000000
15Tye McGinnRed WingsLW1923522201910177811.76%61769.2900000000000055.56%912000.5700000010
16David KrejciRed WingsC112244805414121414.29%0948.6100000000190036.36%3340000.8400000001
17Michael HaleyRed WingsLW19224314018151781311.76%420410.78000001013520050.00%251000.3900000000
18Ole-Kristian TollefsenRed WingsD190335140152914630.00%1538020.01000239000066000.00%059000.1600000000
19Jakub KindlRed WingsD19011120131912640.00%1328715.1200012400009000.00%033000.0700000000
Statistiques d’équipe totales ou en moyenne3426711318049212036142958020832411.55%179560816.40152439515141231573511448.27%1129110117020.64000009912
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
1Robin LehnerRed Wings159510.8973.108902046447208100.0000154201
2Mike McKennaRed Wings52200.9212.0426500911452000.0000415000
Statistiques d’équipe totales ou en moyenne2011710.9022.8611562055561260100.00001919201


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 Salaire restantPlafond 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
Carson McmillanRed WingsRW281988-01-01No194 Lbs6 ft2NoNoNo2Pro Only1,500,000$1,500,000$0$No1,500,000$
Connor BrownRed WingsRW221994-01-01No160 Lbs5 ft10NoNoNo2Pro & Farm2,500,000$2,500,000$0$No3,500,000$
David KrejciRed WingsC301986-01-01No177 Lbs6 ft0NoNoNo1Pro Only1,300,000$1,300,000$0$No
David RundbladRed WingsD261990-01-01No195 Lbs6 ft2NoNoNo1Pro Only1,450,000$1,450,000$0$No
Drew FataRed WingsD331983-01-01No209 Lbs6 ft1NoNoNo2Pro Only4,000,000$4,000,000$0$No2,500,000$
Dylan LarkinRed WingsC201996-01-01Yes198 Lbs6 ft1NoNoNo2Pro Only1,000,000$1,000,000$0$No2,000,000$
Henrik ZetterbergRed WingsC361980-01-01No195 Lbs5 ft11NoNoNo2Pro Only5,000,000$5,000,000$0$No4,500,000$
Jakub KindlRed WingsD291987-01-01No199 Lbs6 ft3NoNoNo1Pro Only1,500,000$1,500,000$0$No
Jiri FischerRed WingsD361980-01-01No229 Lbs6 ft5NoNoNo2Pro Only1,500,000$1,500,000$0$No1,500,000$
Jordin TootooRed WingsRW331983-01-01No197 Lbs5 ft9NoNoNo1Pro Only900,000$900,000$0$No
Kris VersteegRed WingsLW301986-01-01No182 Lbs5 ft10NoNoNo3Pro Only7,000,000$7,000,000$0$No5,000,000$4,000,000$
Marko DanoRed WingsLW221994-01-01No185 Lbs5 ft11NoNoNo3Pro Only3,500,000$3,500,000$0$No5,000,000$6,000,000$
Michael HaleyRed WingsLW301986-01-01No204 Lbs5 ft10NoNoNo2Pro Only950,000$950,000$0$No950,000$
Mike McKennaRed WingsG331983-01-01No187 Lbs6 ft3NoNoNo1Pro Only1,250,000$1,250,000$0$No
Mike RichardsRed WingsC311985-01-01No195 Lbs5 ft11NoNoNo1Pro Only3,000,000$3,000,000$0$No
Nino NiederreiterRed WingsRW241992-01-01No210 Lbs6 ft2NoNoNo2Pro Only3,800,000$3,800,000$0$No4,000,000$
Ole-Kristian TollefsenRed WingsD321984-01-01No211 Lbs6 ft2NoNoNo1Pro Only2,000,000$2,000,000$0$No
Philip SamuelssonRed WingsD251991-01-01No194 Lbs6 ft2NoNoNo3Pro Only4,500,000$4,500,000$0$No5,500,000$5,500,000$
Robin LehnerRed WingsG251991-01-01No225 Lbs6 ft5NoNoNo1Pro Only5,500,000$5,500,000$0$No
Ryan O'ByrneRed WingsD321984-01-01No234 Lbs6 ft5NoNoNo2Pro Only1,500,000$1,500,000$0$No1,500,000$
Ryane CloweRed WingsLW341982-01-01No225 Lbs6 ft2NoNoNo1Pro Only1,000,000$1,000,000$0$No
T.J. HensickRed WingsC311985-01-01No185 Lbs5 ft10NoNoNo2Pro Only1,500,000$1,500,000$0$No1,500,000$
Tye McGinnRed WingsLW261990-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$1,750,000$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2329.04200 Lbs6 ft11.702,517,391$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
57,900,000$38,950,000$15,500,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marko DanoHenrik ZetterbergNino Niederreiter40122
2Kris VersteegMike RichardsConnor Brown30122
3Tye McGinnDylan LarkinCarson Mcmillan20122
4Michael HaleyT.J. HensickJordin Tootoo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip SamuelssonDrew Fata40122
2Jiri FischerOle-Kristian Tollefsen30122
3Jakub KindlRyan O'Byrne20122
4Jakub KindlRyan O'Byrne10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marko DanoHenrik ZetterbergNino Niederreiter60212
2Kris VersteegMike RichardsConnor Brown40212
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip SamuelssonDrew Fata60122
2Dylan LarkinOle-Kristian Tollefsen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kris VersteegCarson Mcmillan60041
2T.J. HensickMichael Haley40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan O'ByrneDrew Fata60140
2Philip SamuelssonOle-Kristian Tollefsen40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Carson Mcmillan60140Ole-Kristian TollefsenRyan O'Byrne60050
2Michael Haley40140Philip SamuelssonDrew Fata40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Henrik ZetterbergMarko Dano55122
2Mike RichardsNino Niederreiter45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip SamuelssonOle-Kristian Tollefsen60122
2Drew FataJiri Fischer40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marko DanoHenrik ZetterbergNino NiederreiterPhilip SamuelssonConnor Brown
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kris VersteegT.J. HensickCarson McmillanRyan O'ByrneDrew Fata
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Larkin, Connor Brown, Nino NiederreiterT.J. Hensick, Carson McmillanNino Niederreiter
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Samuelsson, Drew Fata, Ryan O'ByrneJiri FischerJiri Fischer, Jakub Kindl
Tirs de pénalité
Kris Versteeg, Dylan Larkin, Marko Dano, Nino Niederreiter, Carson Mcmillan
Gardien
#1 : Robin Lehner, #2 : Mike McKenna


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
1Canadiens74300000211744310000013853120000089-180.571213758007761225806474720658921192129.52%46491.30%020640450.99%20845046.22%13127547.64%154871486812557
2Maple Leafs54100000221393300000014772110000086280.800223658009661171565753515757449922627.27%22577.27%020640450.99%20845046.22%13127547.64%10863114488843
3Oilers734000002425-14220000012120312000001213-160.42924406400513511845862622198647814328725.00%39489.74%120640450.99%20845046.22%13127547.64%143781546912358
Total19118000006755121183000003927128350000028280220.5796711318000212617358019418318914561179214361711521.13%1071387.85%120640450.99%20845046.22%13127547.64%405229417187337159
_Since Last GM Reset19118000006755121183000003927128350000028280220.5796711318000212617358019418318914561179214361711521.13%1071387.85%120640450.99%20845046.22%13127547.64%405229417187337159
_Vs Conference19118000006755121183000003927128350000028280220.5796711318000212617358019418318914561179214361711521.13%1071387.85%120640450.99%20845046.22%13127547.64%405229417187337159
_Vs Division147700000454238530000025205624000002022-2140.5004577122001220112409138126136940412217026249918.37%85890.59%120640450.99%20845046.22%13127547.64%297165302138248116

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1922L36711318058056117921436100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1911800006755
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
118300003927
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83500002828
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
711521.13%1071387.85%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
194183189142126173
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
20640450.99%20845046.22%13127547.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
405229417187337159


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
1 - 2021-11-301Canadiens1Red Wings3BWSommaire du match
2 - 2021-12-019Canadiens2Red Wings3BWXSommaire du match
3 - 2021-12-0217Red Wings1Canadiens2ALSommaire du match
4 - 2021-12-0325Red Wings1Canadiens4ALSommaire du match
5 - 2021-12-0433Canadiens2Red Wings1BLSommaire du match
6 - 2021-12-0541Red Wings6Canadiens3AWSommaire du match
7 - 2021-12-0649Canadiens3Red Wings6BWSommaire du match
8 - 2021-12-0757Maple Leafs1Red Wings6BWSommaire du match
9 - 2021-12-0861Maple Leafs3Red Wings4BWXSommaire du match
10 - 2021-12-0965Red Wings5Maple Leafs2AWSommaire du match
11 - 2021-12-1069Red Wings3Maple Leafs4ALXSommaire du match
12 - 2021-12-1173Maple Leafs3Red Wings4BWSommaire du match
15 - 2021-12-1485Oilers4Red Wings6BWSommaire du match
16 - 2021-12-1587Oilers1Red Wings2BWXSommaire du match
17 - 2021-12-1689Red Wings2Oilers3ALSommaire du match
18 - 2021-12-1791Red Wings7Oilers6AWSommaire du match
19 - 2021-12-1893Oilers5Red Wings3BLSommaire du match
20 - 2021-12-1995Red Wings3Oilers4ALSommaire du match
21 - 2021-12-2097Oilers2Red Wings1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance66,00055,00022,00044,00011,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 18000 - 100.00% 1,460,500$16,065,500$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 57,900,000$ 50,000,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 24,453,754$ 23 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$ 61,444,164$ 61,444,164$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 121,444,164$ 121,444,164$ -35,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Kris VersteegAGE:30PO:23OV:78
Marko DanoAGE:22PO:60OV:76
Tye McGinn (R)AGE:26PO:34OV:73
Ryane CloweAGE:34PO:14OV:73
Michael HaleyAGE:30PO:22OV:72
Jesse JoensuuAGE:29PO:21OV:70
Lucas Lessio (R)AGE:23PO:43OV:69
Brendan Woods (R)AGE:24PO:39OV:69
Sonny Milano (R)AGE:20PO:63OV:66
Tanner Kero (R)AGE:24PO:34OV:64
Michael Bunting (R)AGE:20PO:51OV:59
Henrik ZetterbergAGE:36PO:13OV:77
Mike RichardsAGE:31PO:21OV:76
T.J. HensickAGE:31PO:20OV:74
Dylan Larkin (R)AGE:20PO:63OV:72
David KrejciAGE:30PO:21OV:72
Riley ArmstrongAGE:32PO:15OV:70
Vladislav Namestnikov (R)AGE:24PO:38OV:67
Mathew Barzal (R)AGE:19PO:82OV:65
Greg McKegg (R)AGE:24PO:33OV:65
Jordan Weal (R)AGE:24PO:33OV:60
Nikita Pavlychev (R)AGE:19PO:39OV:38
Nino NiederreiterAGE:24PO:48OV:79
Connor BrownAGE:22PO:55OV:77
Carson McmillanAGE:28PO:25OV:74
Jordin TootooAGE:33PO:15OV:73
Danny Kristo (R)AGE:26PO:34OV:70
Adam Gaudette (R)AGE:20PO:70OV:69
Martin Frk (R)AGE:23PO:45OV:68
Garrett Wilson (R)AGE:25PO:27OV:67
Troy Terry (R)AGE:19PO:66OV:61
Tomas Hyka (R)AGE:23PO:33OV:61
Jack Ramsey (R)AGE:20PO:49OV:57

Défense #1Défense #2Gardien
Philip SamuelssonAGE:25PO:39OV:79
Ole-Kristian TollefsenAGE:32PO:16OV:78
Drew FataAGE:33PO:15OV:78
Jiri FischerAGE:36PO:11OV:77
Ryan O'ByrneAGE:32PO:15OV:76
David RundbladAGE:26PO:33OV:74
Jakub KindlAGE:29PO:24OV:74
Marcus Pettersson (R)AGE:20PO:65OV:70
Dmitri Orlov (R)AGE:25PO:36OV:70
Phil OreskovicAGE:29PO:21OV:70
Patrick WierciochAGE:26PO:31OV:69
Ryan Pulock (R)AGE:22PO:57OV:68
Ian McCoshen (R)AGE:21PO:54OV:67
Filip Hronek (R)AGE:19PO:73OV:65
Konrad Abeltshauser (R)AGE:24PO:32OV:64
Ryan Lindgren (R)AGE:18PO:79OV:59
Ryan Mantha (R)AGE:20PO:55OV:52
Robin LehnerAGE:25PO:40OV:82
Mike McKennaAGE:33PO:15OV:75
Olivier RoyAGE:25PO:33OV:73
Marcus HogbergAGE:22PO:40OV:67
Adam Werner (R)AGE:19PO:81OV:60
Philippe DesrosiersAGE:21PO:53OV: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 R1R2R3R4R5
2
3
4
5
6



Les Wings ont eu chaud

Par Eric Poulin (Red Wings) Le Sunday 17th July 2022 / 1:33am

Les Wings ont bien débuté la séries face au Canadiens avec 2 victoires a domicile. Des matchs typiques des Wings 2022, soit on score pas beaucoup mais on en accorde encore moins. Ces deux victoires portaient à 8 la séquence victorieuses de Détroit en combinant la fin de saison.

Les choses se sont gâtées lors des 3 matchs suivant alors qu'ils n'ont compté qu'un seul but par match, perdant ainsi les 3 matchs. Malgré des changements de trio en attaque, l'absence de Mike Richards se faisait de plus en plus lourde. La 2e ligne de Détroit (Larkin, Brown et Versteeg) totalisait pas un criss de point apres 5 matchs

 

Héro obscur

En desespoir de cause, les Wings ont placés Zetterberg entre Brown et Versteeg pour le match 6 en plus de retourner le jeune Larkin sur la 3e ligne. Par la bande, c'est le vétéran T.J. Hensick qui se retrouvait alors entre les deux seuls joueurs productifs de l'equipe, soit Nino et Dano.

Hensick a répondu présent en inscrivant un total 5 points lors des 2 dernières victoires de Détroit pour finir la 1ère ronde avec 8 points, au 3e rang de l'équipe.

Detroit affrontera maintenant leur bête noire en saison, les Leafs, contre qui ils n'ont wu qu'une seule victoire en 4 rencontres. Mike Richards devrai toutefois revenir autour du match 4 de la séries.

Nouveau commentaire



[2022-08-01 9:16:39 AM] - Red Wings was eliminated at round 3 of year 1.
[2022-07-13 9:02:42 PM] - Griffins was eliminated at round 1 of year 1.
[2022-05-22 6:57:58 AM] - New Record for Team's Most Points (23) in 1 Game for Red Wings!
[2022-05-22 6:57:58 AM] - New Record for Team's Most Assists (15) in 1 Game for Red Wings!
[2022-05-22 6:57:58 AM] - New Record for Team's Most Goals (8) in 1 Game for Red Wings!
[2022-05-19 9:46:37 PM] - Jesse Joensuu signed with Red Wings for $500,000 for 1 year(s).
[2022-05-19 9:46:37 PM] - Jesse Joensuu was added to Red Wings.
[2022-03-30 7:16:31 PM] - New Record for Team's Most Shots (42) in 1 Game for Red Wings!
[2022-03-29 7:07:06 PM] - Dmitri Orlov has been selected as assistant for Griffins.
[2022-03-29 7:07:06 PM] - Unknown Player is no longer as assistant for Griffins.
[2022-03-29 7:07:06 PM] - Phil Oreskovic has been selected as assistant for Griffins.
[2022-03-29 7:07:06 PM] - Unknown Player is no longer as assistant for Griffins.
[2022-03-29 7:07:06 PM] - Riley Armstrong has been selected as captain for Griffins.
[2022-03-29 7:07:06 PM] - Unknown Player is no longer captain for Griffins.
[2022-03-29 7:07:06 PM] - Ole-Kristian Tollefsen has been selected as assistant for Red Wings.
[2022-03-29 7:07:06 PM] - Unknown Player is no longer as assistant for Red Wings.
[2022-03-29 7:07:06 PM] - Mike Richards has been selected as assistant for Red Wings.
[2022-03-29 7:07:06 PM] - Unknown Player is no longer as assistant for Red Wings.
[2022-03-29 7:07:06 PM] - Henrik Zetterberg has been selected as captain for Red Wings.
[2022-03-29 7:07:06 PM] - Unknown Player is no longer captain for Red Wings.
[2022-03-10 7:32:16 PM] - TRADE : From Red Wings to Kings : Tyler Pitlick (71).
[2022-03-10 7:32:16 PM] - TRADE : From Kings to Red Wings : Dmitri Orlov (70).
[2022-02-21 9:00:51 PM] - New Record for Team's Most Shots Blocked (21) in 1 Game for Red Wings!
[2022-02-11 10:28:57 PM] - New Record for Team's Most Points (19) in 1 Game for Red Wings!
[2022-02-11 10:28:57 PM] - New Record for Team's Most Assists (12) in 1 Game for Red Wings!
[2022-02-02 7:31:39 PM] - New Record for Team's Most Hits (32) in 1 Game for Red Wings!
[2022-02-01 8:15:33 PM] - TRADE : From Red Wings to Jets : Kyle Okposo (76), Max Domi (73), Travis Sanheim (69).
[2022-02-01 8:15:33 PM] - TRADE : From Jets to Red Wings : Nino Niederreiter (79), Y:2-RND:3-Edm.
[2022-02-01 8:05:09 PM] - Jordin Tootoo was added to Red Wings.
[2022-01-22 11:30:24 PM] - New Record for Team's Most Points (18) in 1 Game for Red Wings!
[2022-01-22 11:30:24 PM] - New Record for Team's Most Assists (11) in 1 Game for Red Wings!
[2022-01-22 11:30:24 PM] - New Record for Team's Most Goals (7) in 1 Game for Red Wings!
[2022-01-18 7:22:06 PM] - TRADE : From Canadiens to Red Wings : Adam Werner (60), Tyler Pitlick (71), Y:3-RND:1-Mon.
[2022-01-18 7:22:06 PM] - TRADE : From Red Wings to Canadiens : Igor Shesterkin (71), Dylan DeMelo (68), Brandon Pirri (70).
[2022-01-17 8:37:37 PM] - TRADE : From Kings to Red Wings : Ryane Clowe (73), Jordan Weal (60), Filip Hronek (65).
[2022-01-17 8:37:37 PM] - TRADE : From Red Wings to Kings : Rourke Chartier (66).
[2022-01-09 7:35:04 PM] - TRADE : From Red Wings to Blues : Mathieu Joseph (64).
[2022-01-09 7:35:04 PM] - TRADE : From Blues to Red Wings : Martin Frk (68), Y:2-RND:2-Was.



[2022-07-30 10:31:47 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-28 9:55:13 PM] Jakub Kindl from Red Wings is back from Sprained Right Ankle Injury.
[2022-07-28 9:55:12 PM] Game 93 - Jakub Kindl from Red Wings is injured (Sprained Right Ankle) and is out for 2 days.
[2022-07-27 9:56:05 PM] Pro Game #91 - Dylan Larkin from Red Wings has scored a Hat Trick!
[2022-07-27 9:55:43 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-26 9:34:29 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-24 9:11:20 PM] Pro Game #85 - Kris Versteeg from Red Wings has scored a Hat Trick!
[2022-07-24 9:11:11 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-21 9:27:15 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-20 10:51:23 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-19 9:17:25 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-18 10:08:39 PM] Mike Richards from Red Wings is back from Torso Injury.
[2022-07-15 7:01:50 PM] Danny Kristo from Griffins is back from Sore Left Knee Injury.
[2022-07-15 7:01:50 PM] Riley Armstrong from Griffins is back from Broken Bone (Left Ankle) Injury.
[2022-07-15 7:01:34 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-14 7:17:22 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-14 7:15:53 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-13 9:02:40 PM] Game 28 - Danny Kristo from Griffins is injured (Sore Left Knee) and is out for 1 week.
[2022-07-13 9:02:24 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-12 8:47:28 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-07-11 11:51:21 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-29 7:12:30 AM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-27 8:19:55 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-26 10:08:39 AM] Marcus Pettersson from Griffins is back from Bruised Right Arm Injury.
[2022-06-26 10:08:39 AM] Last 7 Days Pro Star : 1 - Henrik Zetterberg of Red Wings (4-1-5) / 2 - Nikita Kucherov of Penguins (3-3-6) / 3 - Derek Stepan of Penguins (3-2-5)
[2022-06-26 10:07:53 AM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-23 7:06:03 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-20 7:06:50 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-19 7:39:37 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-18 11:17:29 PM] Game 996 - Mike Richards from Red Wings is injured (Torso) and is out for 2 months.
[2022-06-18 11:17:26 PM] Game 991 - Marcus Pettersson from Griffins is injured (Bruised Right Arm) and is out for 1 week.
[2022-06-18 11:16:39 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-17 7:07:58 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-14 9:02:29 PM] Ryan Pulock from Griffins is back from Bruised Left Shoulder Injury.
[2022-06-14 9:00:56 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-14 8:59:22 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-10 11:36:21 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-10 11:35:34 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-09 7:01:04 PM] Game 947 - Riley Armstrong from Griffins is injured (Broken Bone (Left Ankle)) and is out for 2 months.
[2022-06-09 7:00:44 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-07 9:14:17 PM] Adam Gaudette from Griffins is back from Strained Left Knee Injury.
[2022-06-05 9:28:48 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-05 9:25:47 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-04 9:05:47 PM] Last 7 Days Farm Star : 1 - Miro Aaltonen of Moose (2-7-9) / 2 - Riley Armstrong of Griffins (5-3-8) / 3 - Daniel Zaar of Condors (3-4-7)
[2022-06-04 9:05:44 PM] Farm Game #922 - Riley Armstrong from Griffins has scored a Hat Trick!
[2022-06-03 11:23:40 PM] Jesse Joensuu from Griffins is back from Right Knee Injury.
[2022-06-03 11:23:37 PM] Game 919 - Jesse Joensuu from Griffins is injured (Right Knee) and is out for 2 days.
[2022-06-03 11:23:09 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2022-06-01 9:06:24 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.



Pas de blessure ou de suspension.


Red Wings Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Red Wings Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Red Wings Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Red Wings Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Red Wings Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA