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Red Wings

GP: 5 | W: 2 | L: 2 | OTL: 1 | P: 5
GF: 16 | GA: 15 | PP%: 14.81% | PK%: 86.67%
DG: Patrick Auger | Morale : 50 | Moyenne d'Équipe : 67
Prochain matchs #71 vs Penguins
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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 SP
1Auston Matthews (C)X96.00584289848791888385809167866568050750
2Kevin HayesX97.50734782759385817784767678727573050730
3William Nylander (A)X98.00533988797485827871767763796772050700
4Nick SchmaltzXXX98.00523985777084737678796664776766050680
5Sam GagnerXXX100.00623986657273716678646361657971050640
6Garrett WilsonXX100.00775576628775786156606063597769050640
7Owen TippettXX100.00714589657982816459626366656164050640
8Vladimir SobotkaXX100.00793984617177736281605873618273050640
9Carter VerhaegheXX100.00583986647379816272636165646966050630
10Filip ChlapikX100.00674686637974756168605962636564050620
11Marko DanoX100.00605281627377786354605861637166050620
12Tye McGinnX100.00735781588789885651545759567868050620
13Dougie Hamilton (A)X100.00824374779887807630787975567374050730
14Darnell NurseX100.00865868709190926930796778556966050700
15Adam PelechX100.00854283648785816330735985527166050680
16Anton StralmanX100.00743989667087816530756085528477050680
17Oliver KylingtonX100.00583989657175776430626361546563050630
18Brennan MenellX100.00564389606882755930645758546563050610
Rayé
MOYENNE D'ÉQUIPE99.4268458468798280675768656863716805066
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 SP
1John Gibson100.0092959382919092919092917377050750
2Chris Driedger100.0077727087767577767577767175050670
Rayé
MOYENNE D'ÉQUIPE100.008584828584838584838584727605071
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens72776773807469CAN533500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Auston MatthewsRed WingsC553822010201751529.41%110621.261235250001111054.55%14300011.5101000210
2Darnell NurseRed WingsD5145410099125128.33%611823.6510162300009010.00%000000.8500000000
3Oliver KylingtonRed WingsD5044100423100.00%47414.910000100000000.00%000001.0700000001
4Kevin HayesRed WingsC522400012121861811.11%410120.320003200000131056.47%8500000.7911000020
5William NylanderRed WingsRW513420048152136.67%09118.27101424000000043.48%4600000.8801000000
6Adam PelechRed WingsD5123-640181152220.00%710320.80112420000012000.00%000000.5800000001
7Brennan MenellRed WingsD5033160674000.00%57915.850000100005000.00%000000.7600000000
8Owen TippettRed WingsLW/RW5303-12033100530.00%07815.61000113000030025.00%2800000.7700000100
9Dougie HamiltonRed WingsD50335205819060.00%412324.61000623000013000.00%000000.4900000000
10Carter VerhaegheRed WingsC/RW511200067101210.00%06212.460000100001000.00%100000.6400000000
11Sam GagnerRed WingsC/LW/RW51120002672614.29%18717.58011118000070060.00%1000000.4600000000
12Nick SchmaltzRed WingsC/LW/RW50220005996120.00%110220.41022525000080033.33%600000.3900000000
13Anton StralmanRed WingsD5011-6206812360.00%1110521.19000820000013000.00%000000.1900000000
14Marko DanoRed WingsLW5011-200212030.00%0499.9100001000000033.33%300000.4000000000
15Vladimir SobotkaRed WingsC/LW5101120158100410.00%17414.9200016000080040.48%4200000.2700000000
16Filip ChlapikRed WingsC5000-200354240.00%0377.4700000000000036.96%4600000.0000000000
17Garrett WilsonRed WingsLW/RW5000-200212030.00%1397.880000000001000.00%200000.0000000000
18Tye McGinnRed WingsLW5000040434010.00%0489.6300000000000040.00%500000.0000000000
Stats d'équipe Total ou en Moyenne90163046-3340116128163351129.82%46148316.4846104422900011102147.48%41700010.6213000332
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
1John GibsonRed Wings52210.8932.7630400141310000.333350000
Stats d'équipe Total ou en Moyenne52210.8932.7630400141310000.333350000


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam PelechRed WingsD251994-08-16No218 Lbs6 ft3NoNoNo2Pro & Farm1,600,000$1,600,000$1,600,000$No1,600,000$Lien / Lien NHL
Anton StralmanRed WingsD331986-08-01No186 Lbs5 ft11NoNoNo3Pro & Farm5,500,000$5,500,000$5,500,000$No5,500,000$5,500,000$Lien / Lien NHL
Auston MatthewsRed WingsC221997-09-17No220 Lbs6 ft3NoNoNo5Pro & Farm11,634,000$11,634,000$11,634,000$No11,634,000$11,634,000$11,634,000$11,634,000$Lien / Lien NHL
Brennan MenellRed WingsD221997-05-24No177 Lbs5 ft11NoNoNo1Pro & Farm716,666$716,666$716,666$NoLien / Lien NHL
Carter VerhaegheRed WingsC/RW241995-08-14No177 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$700,000$NoLien / Lien NHL
Chris DriedgerRed WingsG251994-05-18No205 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$850,000$No850,000$Lien / Lien NHL
Darnell NurseRed WingsD241995-02-04No221 Lbs6 ft4NoNoNo1Pro & Farm3,200,000$3,200,000$3,200,000$NoLien / Lien NHL
Dougie HamiltonRed WingsD261993-06-17No229 Lbs6 ft6NoNoNo2Pro & Farm5,750,000$5,750,000$5,750,000$No5,750,000$Lien / Lien NHL
Filip ChlapikRed WingsC221997-06-03No194 Lbs6 ft2NoNoNo1Pro & Farm894,166$894,166$894,166$NoLien / Lien NHL
Garrett WilsonRed WingsLW/RW281991-03-16No218 Lbs6 ft3NoNoNo1Pro & Farm725,000$725,000$725,000$NoLien / Lien NHL
John GibsonRed WingsG261993-07-14No207 Lbs6 ft2NoNoNo8Pro & Farm6,400,000$6,400,000$6,400,000$No6,400,000$6,400,000$6,400,000$6,400,000$6,400,000$6,400,000$6,400,000$Lien / Lien NHL
Kevin HayesRed WingsC271992-05-08No216 Lbs6 ft5NoNoNo7Pro & Farm7,142,857$7,142,857$7,142,857$No7,142,857$7,142,857$7,142,857$7,142,857$7,142,857$7,142,857$Lien / Lien NHL
Marko DanoRed WingsLW241994-11-30No201 Lbs5 ft11NoNoNo1Pro & Farm800,000$800,000$800,000$NoLien / Lien NHL
Nick SchmaltzRed WingsC/LW/RW231996-02-23No177 Lbs6 ft0NoNoNo7Pro & Farm5,850,000$5,850,000$5,850,000$No5,850,000$5,850,000$5,850,000$5,850,000$5,850,000$5,850,000$Lien / Lien NHL
Oliver KylingtonRed WingsD221997-05-19No183 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$863,333$NoLien / Lien NHL
Owen TippettRed WingsLW/RW201999-02-16No207 Lbs6 ft1NoNoNo3Pro & Farm1,596,667$1,596,667$1,596,667$No1,596,667$1,596,667$Lien
Sam GagnerRed WingsC/LW/RW301989-08-10No200 Lbs5 ft11NoNoNo1Pro & Farm3,150,000$3,150,000$3,150,000$NoLien / Lien NHL
Tye McGinnRed WingsLW291990-07-29No218 Lbs6 ft3NoNoNo1Pro & Farm650,000$650,000$650,000$NoLien / Lien NHL
Vladimir SobotkaRed WingsC/LW321987-07-02No191 Lbs5 ft11NoNoNo1Pro & Farm3,500,000$3,500,000$3,500,000$NoLien / Lien NHL
William NylanderRed WingsRW231996-05-01No196 Lbs6 ft0NoNoNo5Pro & Farm6,962,366$6,962,366$6,962,366$No6,962,366$6,962,366$6,962,366$6,962,366$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.35202 Lbs6 ft22.703,424,253$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
68,485,055$53,285,890$45,085,890$37,989,223$37,989,223$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick SchmaltzAuston MatthewsWilliam Nylander30122
2Owen TippettKevin HayesSam Gagner30122
3Marko DanoVladimir SobotkaCarter Verhaeghe25122
4Tye McGinnFilip ChlapikGarrett Wilson15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dougie HamiltonDarnell Nurse30122
2Anton StralmanAdam Pelech30122
3Oliver KylingtonBrennan Menell25122
4Dougie HamiltonDarnell Nurse15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick SchmaltzAuston MatthewsWilliam Nylander60122
2Owen TippettKevin HayesSam Gagner40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dougie HamiltonDarnell Nurse60122
2Anton StralmanAdam Pelech40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kevin HayesVladimir Sobotka60122
2Auston MatthewsOwen Tippett40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anton StralmanAdam Pelech60122
2Dougie HamiltonDarnell Nurse40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kevin Hayes60122Anton StralmanAdam Pelech60122
2Vladimir Sobotka40122Dougie HamiltonDarnell Nurse40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Auston MatthewsKevin Hayes60122
2William NylanderNick Schmaltz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dougie HamiltonDarnell Nurse60122
2Anton StralmanAdam Pelech40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick SchmaltzAuston MatthewsWilliam NylanderDougie HamiltonDarnell Nurse
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick SchmaltzAuston MatthewsWilliam NylanderDougie HamiltonDarnell Nurse
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marko Dano, Vladimir Sobotka, Sam GagnerMarko Dano, Vladimir SobotkaSam Gagner
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Oliver Kylington, Brennan Menell, Anton StralmanOliver KylingtonBrennan Menell, Anton Stralman
Tirs de Pénalité
Auston Matthews, Kevin Hayes, William Nylander, Nick Schmaltz, Owen Tippett
Gardien
#1 : John Gibson, #2 : Chris Driedger
Lignes d'Attaque Perso. en Prol.
Auston Matthews, Kevin Hayes, William Nylander, Nick Schmaltz, Owen Tippett, Garrett Wilson, Garrett Wilson, Vladimir Sobotka, Sam Gagner, Carter Verhaeghe, Tye McGinn
Lignes de Défense Perso. en Prol.
Dougie Hamilton, Darnell Nurse, Anton Stralman, Adam Pelech, Oliver Kylington


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
LigueDomicileVisiteur
# 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
1Blackhawks2020000036-31010000013-21010000023-100.00036900111053191519053221641600.00%8187.50%09517953.07%7315646.79%307540.00%453150142411
2Islanders21001000945110000006241000100032141.000916250034117220213015019165518422.22%6183.33%09517953.07%7315646.79%307540.00%513443162512
3Penguins1000000145-11000000145-10000000000010.5004812001301381411115285220300.00%10100.00%09517953.07%7315646.79%307540.00%2216288146
Total512010011615131100001111012010100055050.5001630460058221635347606131463411627414.81%15286.67%09517953.07%7315646.79%307540.00%11982122396330
_Since Last GM Reset512010011615131100001111012010100055050.5001630460058221635347606131463411627414.81%15286.67%09517953.07%7315646.79%307540.00%11982122396330
_Vs Conference3100100113942100000110731000100032150.83313243700471211034324167824187521419.05%7185.71%09517953.07%7315646.79%307540.00%735171243919

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
55OTW1163046163131463411600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51210011615
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31100011110
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201100055
Derniers 10 Matchs
WLOTWOTL SOWSOL
121001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
27414.81%15286.67%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
53476065822
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
9517953.07%7315646.79%307540.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11982122396330


Derniers Match 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
3 - 2020-04-0714Blackhawks3Red Wings1LSommaire du Match
4 - 2020-04-0826Red Wings2Blackhawks3LSommaire du Match
6 - 2020-04-1037Islanders2Red Wings6WSommaire du Match
8 - 2020-04-1254Penguins5Red Wings4LXXSommaire du Match
9 - 2020-04-1359Red Wings3Islanders2WXSommaire du Match
11 - 2020-04-1571Red Wings-Penguins-
12 - 2020-04-1679Red Wings-Blues-
13 - 2020-04-1785Maple Leafs-Red Wings-
14 - 2020-04-1893Red Wings-Maple Leafs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
1 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 68,485,055$ 26,636,531$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 6 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
0$ 67,859,030$ 67,859,030$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
0$ 81,500,000$ 81,500,000$ -60,200,000$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Nick SchmaltzAGE:23PO:0OV:68
Sam GagnerAGE:30PO:0OV:64
Garrett WilsonAGE:28PO:0OV:64
Owen TippettAGE:20PO:0OV:64
Vladimir SobotkaAGE:32PO:0OV:64
Brian GibbonsAGE:31PO:0OV:62
Marko DanoAGE:24PO:0OV:62
Max McCormickAGE:27PO:0OV:62
Tye McGinnAGE:29PO:0OV:62
Joseph CramarossaAGE:26PO:0OV:59
Ryan BourqueAGE:28PO:0OV:59
Auston MatthewsAGE:22PO:0OV:75
Kevin HayesAGE:27PO:0OV:73
Nick SchmaltzAGE:23PO:0OV:68
Sam GagnerAGE:30PO:0OV:64
Vladimir SobotkaAGE:32PO:0OV:64
Carter VerhaegheAGE:24PO:0OV:63
Filip ChlapikAGE:22PO:0OV:62
Frederick GaudreauAGE:26PO:0OV:62
*Lucas ElvenesAGE:20PO:0OV:62
Brian GibbonsAGE:31PO:0OV:62
Alex BroadhurstAGE:26PO:0OV:61
Conner BleackleyAGE:23PO:0OV:60
Michael SpacekAGE:22PO:0OV:60
Brian PinhoAGE:24PO:0OV:59
Joseph CramarossaAGE:26PO:0OV:59
William NylanderAGE:23PO:0OV:70
Nick SchmaltzAGE:23PO:0OV:68
Sam GagnerAGE:30PO:0OV:64
Garrett WilsonAGE:28PO:0OV:64
Owen TippettAGE:20PO:0OV:64
Carter VerhaegheAGE:24PO:0OV:63
Frederick GaudreauAGE:26PO:0OV:62
Brian GibbonsAGE:31PO:0OV:62
Michael SpacekAGE:22PO:0OV:60

Défense #1Défense #2Gardien
Dougie HamiltonAGE:26PO:0OV:73
Darnell NurseAGE:24PO:0OV:70
Adam PelechAGE:25PO:0OV:68
Anton StralmanAGE:33PO:0OV:68
Oliver KylingtonAGE:22PO:0OV:63
Brandon ManningAGE:29PO:0OV:61
Brennan MenellAGE:22PO:0OV:61
Mitch ReinkeAGE:23PO:0OV:61
Cody GoloubefAGE:29PO:0OV:59
Brett LernoutAGE:24PO:0OV:59
Michael PrapavessisAGE:28PO:0OV:58
Chad KrysAGE:21PO:0OV:57
Steven JohnsonAGE:25PO:0OV:57
John GibsonAGE:26PO:0OV:75
Chris DriedgerAGE:25PO:0OV:67
Adam WernerAGE:22PO:0OV:66
Richard BachmanAGE:32PO:0OV:64

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Aaron JohnsonRed Wings
Adam McQuaidRed WingsLien
Alex GrantRed Wings
Alexander SalakRed Wings
Alexandre PicardRed Wings
Andrew EbbettRed Wings
Andrew MillerRed Wings
Antoine VermetteRed Wings
Arthur KaliyevRed Wings924
Ben HolmstromRed WingsLien
Bobby SanguinettiRed WingsLien
Bracken KearnsRed Wings
Brad RichardsRed Wings
Brad RossRed Wings
Brett SterlingRed Wings
Cam WardRed WingsLien
Chris PhillipsRed Wings
Colby RobakRed Wings
Daniel WinnikRed Wings
Eric BaierRed Wings
Evan CowleyRed Wings
Evan ObergRed Wings
Filip KubaRed Wings
Henrik ZetterbergRed Wings
James GreenwayRed Wings697
Jay McClementRed Wings
Jean-Sebastien GiguereRed Wings
Jed OrtmeyerRed Wings
Jeff HalpernRed Wings
Jim SlaterRed Wings
John McCarronRed WingsLien
Josh GodfreyRed Wings
Justin FlorekRed Wings
Juuso ValimakiRed WingsLien
Kevan MillerRed WingsLien
Kyle MedvecRed Wings
Logan NelsonRed Wings2139
Marco CousineauRed Wings
Marcus DavidssonRed Wings757
Mark DekanichRed Wings
Matej PaulovicRed Wings3171
Matthew SpencerRed WingsLien
Mike WeaverRed Wings
Nikita FilatovRed Wings
PA ParenteauRed Wings
Patrik PuistolaRed Wings960
Radovan BondraRed Wings5110
Rod PelleyRed Wings
Roman CervenkaRed Wings
Ryan ButtonRed Wings
Ryan SuzukiRed Wings922
Sean B. CollinsRed Wings
Shane PintoRed Wings938
Stephane VeilleuxRed Wings
Stephen GiontaRed WingsLien
Stu BickelRed Wings
Theo PeckhamRed Wings
Trevor ZegrasRed Wings97
Ty SmithRed Wings811
Zachary LauzonRed Wings7112

Choix au Repêchage

Année R1R2R3R4R5R6
10DET PIT DET DET DET DET
11DET DET DET DET DET
12DET DET DET DET DET
13DET DET DET DET DET DET
14DET DET DET DET DET DET






[2020-08-31 6:49:44 PM] - TRADE : From Kings to Red Wings : Steven Johnson (57), Michael Prapavessis (58), Joseph Cramarossa (59), Conner Bleackley (60), Brian Gibbons (62), Richard Bachman (64).
[2020-08-31 6:49:44 PM] - TRADE : From Red Wings to Kings : Y:12-RND:5-DET.
[2020-08-03 3:28:46 PM] - Adam Werner was added to Red Wings.
[2020-07-12 2:37:51 PM] - Red Wings drafts Patrik Puistola as the #60 overall pick in the Entry Draft of year 9.
[2020-07-12 2:23:01 PM] - TRADE : From Blue Jackets to Red Wings : Brett Lernout (59), Cody Goloubef (59), Tye McGinn (62), Ryan Bourque (59).
[2020-07-12 2:23:01 PM] - TRADE : From Red Wings to Blue Jackets : Y:11-RND:5-DET.
[2020-06-08 2:27:04 PM] - Lucas Elvenes was added to Red Wings.
[2020-06-08 2:19:46 PM] - Red Wings drafts Shane Pinto as the #38 overall pick in the Entry Draft of year 9.
[2020-06-04 6:52:18 PM] - Red Wings drafts Arthur Kaliyev as the #24 overall pick in the Entry Draft of year 9.
[2020-06-04 6:52:01 PM] - Red Wings drafts Ryan Suzuki as the #22 overall pick in the Entry Draft of year 9.
[2020-06-01 7:01:32 PM] - Red Wings drafts Trevor Zegras as the #7 overall pick in the Entry Draft of year 9.
[2020-05-30 7:52:43 PM] - Owen Tippett was added to Red Wings.
[2020-05-30 7:52:43 PM] - Chad Krys was added to Red Wings.
[2020-04-05 11:48:32 AM] - Griffins didn't make playoff for year 8.
[2020-04-05 11:48:32 AM] - Red Wings didn't make playoff for year 8.
[2020-03-07 7:31:56 PM] - William Nylander has been selected as assistant for Red Wings.
[2020-03-07 7:31:56 PM] - Auston Matthews is no longer as assistant for Red Wings.
[2020-03-07 7:31:56 PM] - Dougie Hamilton has been selected as assistant for Red Wings.
[2020-03-07 7:31:56 PM] - Unknown Player is no longer as assistant for Red Wings.
[2020-03-07 7:31:56 PM] - Auston Matthews has been selected as captain for Red Wings.
[2020-03-07 7:31:56 PM] - Unknown Player is no longer captain for Red Wings.
[2020-02-25 5:48:12 PM] - TRADE : From Blackhawks to Red Wings : William Nylander (69), Oliver Kylington (64), Lukas Elvenes (P).
[2020-02-25 5:48:12 PM] - TRADE : From Red Wings to Blackhawks : Ryan Getzlaf (73), Grigori Denisenko (P), Y:9-RND:1-WIN, Y:10-RND:2-WSH.
[2020-02-24 9:58:31 PM] - TRADE : From Red Wings to Bruins : Alex Chiasson (68), Y:9-RND:6-DET.
[2020-02-24 9:58:31 PM] - TRADE : From Bruins to Red Wings : Carter Verhaeghe (65), Y:9-RND:2-BOS.
[2020-02-21 10:13:47 PM] - New Record for Team's Most Hits (40) in 1 Game for Red Wings!



[2020-09-20 9:59:03 PM] Auston Matthews from Red Wings has scored a Hat Trick!
[2020-09-20 9:58:56 PM] Successfully loaded Red Wings lines done with STHS Client - 3.2.1.1
[2020-09-15 10:09:20 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2020-08-31 6:49:44 PM] TRADE : From Kings to Red Wings : Steven Johnson (57), Michael Prapavessis (58), Joseph Cramarossa (59), Conner Bleackley (60), Brian Gibbons (62), Richard Bachman (64).
[2020-08-31 6:49:44 PM] TRADE : From Red Wings to Kings : Y:12-RND:5-DET.
[2020-08-03 4:10:33 PM] Auto Roster Function has been run for Red Wings.
[2020-08-03 4:10:28 PM] Auto Lines Partial Function has been run for Red Wings.
[2020-08-03 4:10:12 PM] Auto Roster Function has been run for Red Wings.
[2020-08-03 4:10:12 PM] Chris Driedger of Red Wings was sent to pro.
[2020-08-03 4:10:12 PM] Lucas Elvenes of Red Wings was sent to farm.
[2020-08-03 4:10:12 PM] Frederick Gaudreau of Red Wings was sent to farm.
[2020-08-03 4:10:12 PM] Alex Broadhurst of Red Wings was sent to farm.
[2020-08-03 4:10:12 PM] Brandon Manning of Red Wings was sent to farm.
[2020-08-03 4:10:12 PM] Mitch Reinke of Red Wings was sent to farm.
[2020-08-03 4:10:12 PM] Brian Pinho of Red Wings was sent to farm.
[2020-08-03 4:10:12 PM] Chad Krys of Red Wings was sent to farm.
[2020-08-03 4:10:12 PM] Brennan Menell of Red Wings was sent to pro.
[2020-08-03 4:10:12 PM] Tye McGinn of Red Wings was sent to pro.
[2020-08-03 4:10:12 PM] Marko Dano of Red Wings was sent to pro.
[2020-08-03 4:10:12 PM] Oliver Kylington of Red Wings was sent to pro.
[2020-08-03 4:01:28 PM] Red Wings roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Forward available in Pro Team! 10 Dressed. 12 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-08-03 3:28:46 PM] Adam Werner was added to Red Wings.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
28242260133725820949412313002121411132841191301125117962184258461719149777808270892388387358234567194217663567320.51%3685784.51%41588308151.54%1490290251.34%664132350.19%1994137219316111048525
3823523054692542342041191003225131116154116130224412311857025444569914917775182538844824815105219563184015813364713.99%3385783.14%21553293552.91%1440271353.08%663127552.00%2032141019346161052525
48236290346421920415412014022211089513411615012431111092722193775960797664716250079187580677224961168617392264218.58%2454382.45%21445284950.72%1371268751.02%615120850.91%1988138519476061049524
582223809814205239-3441151404413111121-10417240540194118-24442053695740270596611241079777281253230866572917102774415.88%2756476.73%21439285650.39%1410276750.96%640125051.20%2010139419126031050531
682362507923260235254120120252013310924411613054031271261722604787381687907412276188593090461251974559818283356017.91%2494980.32%11608304952.74%1477280752.62%647121553.25%206514811911577997507
7823533052522612322941161604131136118184119170112112511411702614567172486848114272084492891057252470063419332715821.40%2555180.00%41519297251.11%1441285050.56%647128550.35%2004141819395861031512
882273803545193217-244114180223295105-104113200131398112-14781933355286857616811206562369771065236070581718483224112.73%3685485.33%41346269349.98%1399280449.89%588119949.04%1937131919996181044517
882273803545193217-244114180223295105-104113200131398112-14781933355286857616811206562369771065236070581718483224112.73%3685485.33%41346269349.98%1399280449.89%588119949.04%1937131919996181044517
Total Saison Régulière656260250036403139184317875632814111501920171695088268328119135017201423893905-12568184332565099174364257555910119767633066066540541188605433606314253244540616.61%246642982.60%23118442312851.21%114272233451.16%5052995450.75%159701110115575483783184161
Séries
240400000917-82020000047-320200000510-5091524001620135473344111504955851218.33%20670.00%17014747.62%7616446.34%277038.57%9260114335424
313670000034322615000001215-37520000022175123460940181691392112127121323751261842285259.62%51492.16%125349251.42%24547951.15%9419847.47%32722635410717988
4126600000414106420000020191624000002122-11241711120012151224211291721081238310099324421228.57%43979.07%023546150.98%18941845.22%10420351.23%2972082838615677
6106400000312925410000018144523000001315-212315182009146236899117120323701139528545920.00%37975.68%021241251.46%20742249.05%7215845.57%2681912587613468
Total Séries39182100000115119-419910000005455-120911000006164-33611519731201305129513163874493938712783884339221512717.88%1512881.46%2770151250.93%717148348.35%29762947.22%9866871010304524259