Detroit Red Wings

GP: 33 | W: 10 | L: 16 | OTL: 7 | P: 27
GF: 84 | GA: 113 | PP%: 14.29% | PK%: 81.29%
DG: Laurent Laporte | Morale : 26 | Moyenne d'Équipe : 68
Prochain matchs #508 vs Montreal Canadiens
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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
1Patrick KaneX100.005338848866948992548783629179787124770
2Jonathan Toews (C)X99.005740898081879578908176797479926934760
3Charlie CoyleXX99.007337877287829471787465776873696834710
4Anthony ManthaX100.007449787594838074567377597669667934700
5Jean-Gabriel PageauX100.008238816867835267816664786573705221660
6Chris MuellerX100.005837876572918764706366626782735234650
7Matt LuffX100.006143856780766466616369646263635434640
8Daniel SprongXX100.005738926571727764526366587263657734620
9Trevor MooreX100.005436916667776663586564596267645234620
10Patrick BrownX100.006837895881939157595557585773775834620
11Axel Jonsson-Fjallby (R)X100.005235955468767053525153545361636432560
12Ryan McDonaghX100.007739837380889572308166945378816834780
13Seth JonesX100.008039847788938876308373866269718634770
14Brent Seabrook (A)X100.007645796587859166307463805184755634730
15Thomas ChabotX100.006839847880918376308174636163648334710
16Brandon DavidsonX100.008039796182715959305857705275684928650
17Jake DotchinX100.008252685985746158306457665269655433640
18William Lagesson (R)X100.006738855783939056305752584665636248630
Rayé
1William NylanderX90.455438898273806781767871587965638625690
MOYENNE D'ÉQUIPE99.37674085697984796852696668637170653368
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
1Tristan Jarry100.00808280797978807978807967717515760
2Tyler Parsons97.00717270747069717069717063676823690
Rayé
MOYENNE D'ÉQUIPE98.5076777577757476757476756569721973
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz84958184847863CAN5644,300,000$


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'ÉquipePOS GP 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
1Jonathan ToewsDetroit Red WingsC3311152621004390110289410.00%1778523.813472110801121371058.11%82600000.6613000221
2Patrick KaneDetroit Red WingsRW33111324260195711434749.65%160918.470118351012430237.58%16500000.7901000033
3Thomas ChabotDetroit Red WingsD3331619-610031286524344.62%3670921.4915636950001105000.00%000000.5400000011
4Charlie CoyleDetroit Red WingsC/LW3361218-224090436717708.96%1071921.79134181080002673052.55%13700000.5002000211
5Brent SeabrookDetroit Red WingsD3331417-826068504617326.52%5271521.6825733940000101000.00%000000.4800000001
6Ryan McDonaghDetroit Red WingsD3331316-1026063556317384.76%6283125.20167331180001112100.00%000000.3800000101
7Seth JonesDetroit Red WingsD3351015-1230064635927468.47%3982525.01224301190000107100.00%000000.3600000012
8Jean-Gabriel PageauDetroit Red WingsC318513-5260735051122515.69%540713.14213229000032050.57%43700000.6400000112
9Anthony ManthaDetroit Red WingsRW337613-1430097388323458.43%557017.30314251030002571027.45%5100000.4611000010
10Brandon DavidsonDetroit Red WingsD261111251603618166116.25%2435113.520001200006010.00%000000.6800000010
11William NylanderDetroit Red WingsRW327512-980237047153514.89%356817.772024760000870149.82%54400000.4201000000
12Trevor MooreDetroit Red WingsLW33459-3403221882422.22%336110.9700005000011038.46%1300000.5000000100
13Jake DotchinDetroit Red WingsD3318915515581313457.69%3446314.0300002000031000.00%000000.3900012000
14Daniel SprongDetroit Red WingsLW/RW33628-146099259724.00%253816.3311241010000130029.03%3100000.3001000000
15Matt LuffDetroit Red WingsRW33358-3202023537245.66%536911.19000010000470032.14%5600000.4302000000
16Chris MuellerDetroit Red WingsC332570601931307226.67%335410.74022678000040043.50%22300000.3900000000
17Patrick BrownDetroit Red WingsC33235-320018241021120.00%12367.1800000000000044.40%25000000.4200000000
18Axel Jonsson-FjallbyDetroit Red WingsLW32123-30047321333.33%32267.0700000000000029.41%1700000.2700000000
19William LagessonDetroit Red WingsD11000-300301020.00%3958.710000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne59484150234-85305157416918742596129.61%308974016.4018314922110801121092810449.64%275000000.4821101271112
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
1Tristan JarryDetroit Red Wings228830.8933.24111300605620100.50062013300
2Tyler ParsonsDetroit Red Wings172840.8903.3689320504550300.40051320210
Stats d'équipe Total ou en Moyenne39101670.8923.2920062011010170400.455113333510


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Anthony ManthaDetroit Red WingsRW241994-09-16No225 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm3,490,000$3,490,000$2,146,257$NoLien
Axel Jonsson-FjallbyDetroit Red WingsLW211998-02-10Yes170 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$184,492$NoLien
Brandon DavidsonDetroit Red WingsD271991-08-21No208 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$307,487$NoLien
Brent SeabrookDetroit Red WingsD341985-04-20No220 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$3,074,866$NoLien
Charlie CoyleDetroit Red WingsC/LW271992-03-02No220 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,152,406$NoLien
Chris MuellerDetroit Red WingsC331986-03-06No196 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm300,000$300,000$184,492$NoLien
Daniel SprongDetroit Red WingsLW/RW221997-03-17No180 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$553,476$NoLien
Jake DotchinDetroit Red WingsD251994-03-24No210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$500,000$307,487$NoLien
Jean-Gabriel PageauDetroit Red WingsC261992-11-11No184 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$2,152,406$NoLien
Jonathan ToewsDetroit Red WingsC311988-04-29No201 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$3,997,326$NoLien
Matt LuffDetroit Red WingsRW221997-05-05No196 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$184,492$NoLien
Patrick BrownDetroit Red WingsC271992-05-29No216 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$300,000$184,492$NoLien
Patrick KaneDetroit Red WingsRW301988-11-19No177 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm8,000,000$8,000,000$4,919,786$NoLien
Ryan McDonaghDetroit Red WingsD301989-06-13No215 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$3,997,326$NoLien
Seth JonesDetroit Red WingsD241994-10-03No210 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$3,074,866$NoLien
Thomas ChabotDetroit Red WingsD221997-01-30No196 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$553,476$NoLien
Trevor MooreDetroit Red WingsLW241995-03-31No182 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$300,000$184,492$NoLien
Tristan JarryDetroit Red WingsG241995-04-29No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$500,000$307,487$NoLien
Tyler ParsonsDetroit Red WingsG211997-09-18No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$307,487$NoLien
William LagessonDetroit Red WingsD231996-02-22Yes197 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$300,000$184,492$NoLien
William Nylander (Sur la Masse Salariale)Detroit Red WingsRW231996-05-01No191 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$0$0$YesLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.71199 Lbs6 ft12.052,285,238$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,990,000$17,400,000$7,800,000$600,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Charlie CoyleJonathan ToewsPatrick Kane40122
2Daniel SprongJean-Gabriel PageauAnthony Mantha30122
3Trevor MooreJean-Gabriel PageauMatt Luff20122
4Axel Jonsson-FjallbyPatrick BrownChris Mueller10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonaghSeth Jones40122
2Brent SeabrookThomas Chabot30122
3Brandon DavidsonJake Dotchin20122
4Ryan McDonaghSeth Jones10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Charlie CoyleJonathan ToewsPatrick Kane60122
2Daniel SprongChris MuellerAnthony Mantha40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonaghSeth Jones60122
2Brent SeabrookThomas Chabot40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris MuellerJonathan Toews60122
2Charlie CoyleAnthony Mantha40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonaghSeth Jones60122
2Brent SeabrookThomas Chabot40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Charlie Coyle60122Ryan McDonaghSeth Jones60122
2Jonathan Toews40122Brent SeabrookThomas Chabot40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Patrick KaneJonathan Toews60122
2Charlie CoyleAnthony Mantha40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonaghSeth Jones60122
2Brent SeabrookThomas Chabot40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Charlie CoyleJonathan ToewsPatrick KaneRyan McDonaghSeth Jones
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Charlie CoyleJonathan ToewsPatrick KaneRyan McDonaghSeth Jones
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jonathan Toews, Chris Mueller, Matt LuffCharlie Coyle, Chris MuellerMatt Luff
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan McDonagh, Jake Dotchin, Brent SeabrookSeth JonesJake Dotchin, Brent Seabrook
Tirs de Pénalité
Matt Luff, Jonathan Toews, Charlie Coyle, Anthony Mantha, Patrick Kane
Gardien
#1 : Tyler Parsons, #2 : Tristan Jarry


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
1Anaheim Ducks20100100511-61000010045-11010000016-510.25057120022106916202856018164510220.00%8187.50%1523109147.94%579112751.38%26350252.39%453050162512
2Boston Bruins1010000025-31010000025-30000000000000.0002460020001326503812823100.00%4250.00%0523109147.94%579112751.38%26350252.39%2013267136
3Buffalo Sabres11000000413110000004130000000000021.000471100211038138170431212193133.33%60100.00%0523109147.94%579112751.38%26350252.39%2315247126
4Calgary Flames1010000036-3000000000001010000036-300.000358001110239410046910245240.00%50100.00%0523109147.94%579112751.38%26350252.39%2315237126
5Carolina Hurricanes21000100871110000004221000010045-130.75081422003410571222221681920426116.67%10460.00%0523109147.94%579112751.38%26350252.39%442951152713
6Columbus Blue Jackets11000000321000000000001100000032121.0003580021003311148026813188225.00%30100.00%0523109147.94%579112751.38%26350252.39%2718207126
7Dallas Stars1010000003-31010000003-30000000000000.00000000000016583032151233200.00%60100.00%0523109147.94%579112751.38%26350252.39%2012277126
8Edmonton Oilers2020000057-21010000045-11010000012-100.0005813002120511422150552125435120.00%10190.00%0523109147.94%579112751.38%26350252.39%473147132512
9Florida Panthers1010000016-5000000000001010000016-500.00012300100020569041111926400.00%6266.67%0523109147.94%579112751.38%26350252.39%2013257136
10Los Angeles Kings10001000321000000000001000100032121.0003580011013411813241121021300.00%50100.00%0523109147.94%579112751.38%26350252.39%2718227137
11Montreal Canadiens1000010045-1000000000001000010045-110.500471100310027899128610216116.67%5180.00%0523109147.94%579112751.38%26350252.39%2821247126
12Nashville Predators2000000257-21000000134-11000000123-120.500581300212263231818136620124110110.00%6183.33%0523109147.94%579112751.38%26350252.39%513451152713
13New Jersey Devils1010000015-4000000000001010000015-400.00012300100024861003658223133.33%4250.00%0523109147.94%579112751.38%26350252.39%2316257115
14New York Islanders1010000002-21010000002-20000000000000.0000000000002412480195229200.00%10100.00%0523109147.94%579112751.38%26350252.39%2921186116
15New York Rangers1010000014-3000000000001010000014-300.000123001000144550323419300.00%20100.00%0523109147.94%579112751.38%26350252.39%2316237126
16Ottawa Senators22000000734110000005231100000021141.0007142100331046231211045171838800.00%80100.00%0523109147.94%579112751.38%26350252.39%463048142513
17Philadelphia Flyers1010000034-1000000000001010000034-100.0003690021003710161103461235400.00%6266.67%0523109147.94%579112751.38%26350252.39%2417246105
18Pittsburgh Penguins1010000026-41010000026-40000000000000.0002350011003141413026138193133.33%3166.67%0523109147.94%579112751.38%26350252.39%2518237115
19San Jose Sharks11000000514000000000001100000051421.00051015002210309813022310205120.00%50100.00%0523109147.94%579112751.38%26350252.39%2517208137
20St. Louis Blues11000000211110000002110000000000021.00023500020012462036111221200.00%6183.33%0523109147.94%579112751.38%26350252.39%1913278125
21Toronto Maple Leafs2110000046-22110000046-20000000000020.5004812000220601921200662416401417.14%8275.00%0523109147.94%579112751.38%26350252.39%533643142312
Total339160140384113-291767002024756-91639012013757-20270.409841502340037321438742642933032510173083077411261814.29%1392681.29%1523109147.94%579112751.38%26350252.39%797545797244416208
23Vancouver Canucks211000001082110000008531010000023-120.500101828004420531820150482116477342.86%7442.86%0523109147.94%579112751.38%26350252.39%473347142512
24Vegas Golden Knights1000000134-11000000134-10000000000010.5003690012002369732881021100.00%50100.00%0523109147.94%579112751.38%26350252.39%2921236126
25Washington Capitals1000010012-11000010012-10000000000010.50012300010027812702410621300.00%20100.00%0523109147.94%579112751.38%26350252.39%2619236126
26Winnipeg Jets2020000025-31010000013-21010000012-100.00024600110049101524057191853800.00%8275.00%0523109147.94%579112751.38%26350252.39%442950152411
_Since Last GM Reset339160140384113-291767002024756-91639012013757-20270.409841502340037321438742642933032510173083077411261814.29%1392681.29%1523109147.94%579112751.38%26350252.39%797545797244416208
_Vs Conference1768003004158-17944001002226-4824002001932-13150.441417611700211550451139155155252615115637268811.76%681676.47%0523109147.94%579112751.38%26350252.39%416287404123209107
_Vs Division843001002226-4532000001514131100100712-590.5632242640011740204706271126182831673638.33%37781.08%0523109147.94%579112751.38%26350252.39%192130192599951

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3327L484150234874101730830774100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
33916140384113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
176702024756
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
163912013757
Derniers 10 Matchs
WLOTWOTL SOWSOL
270100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1261814.29%1392681.29%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
264293303253732143
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
523109147.94%579112751.38%26350252.39%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
797545797244416208


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
4 - 2019-09-0525Detroit Red Wings2Nashville Predators3LXXSommaire du Match
5 - 2019-09-0632Dallas Stars3Detroit Red Wings0LSommaire du Match
7 - 2019-09-0840Anaheim Ducks5Detroit Red Wings4LXSommaire du Match
9 - 2019-09-1048Detroit Red Wings4Montreal Canadiens5LXSommaire du Match
11 - 2019-09-1267Toronto Maple Leafs1Detroit Red Wings2WSommaire du Match
14 - 2019-09-1589Detroit Red Wings2Vancouver Canucks3LSommaire du Match
16 - 2019-09-17103Detroit Red Wings3Calgary Flames6LSommaire du Match
17 - 2019-09-18111Detroit Red Wings1Edmonton Oilers2LSommaire du Match
21 - 2019-09-22137Vancouver Canucks5Detroit Red Wings8WSommaire du Match
22 - 2019-09-23143Detroit Red Wings2Ottawa Senators1WSommaire du Match
24 - 2019-09-25159Buffalo Sabres1Detroit Red Wings4WSommaire du Match
26 - 2019-09-27171St. Louis Blues1Detroit Red Wings2WSommaire du Match
28 - 2019-09-29184Edmonton Oilers5Detroit Red Wings4LSommaire du Match
31 - 2019-10-02199Detroit Red Wings4Carolina Hurricanes5LXSommaire du Match
32 - 2019-10-03209Detroit Red Wings1Florida Panthers6LSommaire du Match
34 - 2019-10-05222Nashville Predators4Detroit Red Wings3LXXSommaire du Match
36 - 2019-10-07235Detroit Red Wings1New York Rangers4LSommaire du Match
38 - 2019-10-09249Boston Bruins5Detroit Red Wings2LSommaire du Match
40 - 2019-10-11266Vegas Golden Knights4Detroit Red Wings3LXXSommaire du Match
42 - 2019-10-13278Detroit Red Wings1Anaheim Ducks6LSommaire du Match
44 - 2019-10-15293Detroit Red Wings3Los Angeles Kings2WXSommaire du Match
46 - 2019-10-17313Detroit Red Wings5San Jose Sharks1WSommaire du Match
49 - 2019-10-20323Ottawa Senators2Detroit Red Wings5WSommaire du Match
51 - 2019-10-22337Detroit Red Wings3Columbus Blue Jackets2WSommaire du Match
53 - 2019-10-24356Detroit Red Wings1New Jersey Devils5LSommaire du Match
54 - 2019-10-25363Carolina Hurricanes2Detroit Red Wings4WSommaire du Match
57 - 2019-10-28379Toronto Maple Leafs5Detroit Red Wings2LSommaire du Match
59 - 2019-10-30397Detroit Red Wings3Philadelphia Flyers4LSommaire du Match
60 - 2019-10-31407Washington Capitals2Detroit Red Wings1LXSommaire du Match
62 - 2019-11-02421New York Islanders2Detroit Red Wings0LSommaire du Match
67 - 2019-11-07456Pittsburgh Penguins6Detroit Red Wings2LSommaire du Match
70 - 2019-11-10477Detroit Red Wings1Winnipeg Jets2LSommaire du Match
72 - 2019-11-12491Winnipeg Jets3Detroit Red Wings1LSommaire du Match
74 - 2019-11-14508Detroit Red Wings-Montreal Canadiens-
75 - 2019-11-15517Los Angeles Kings-Detroit Red Wings-
77 - 2019-11-17529Columbus Blue Jackets-Detroit Red Wings-
81 - 2019-11-21557Detroit Red Wings-Toronto Maple Leafs-
82 - 2019-11-22567Phoenix Coyotes-Detroit Red Wings-
88 - 2019-11-28596Detroit Red Wings-Florida Panthers-
89 - 2019-11-29607Detroit Red Wings-Tampa Bay Lightning-
91 - 2019-12-01620San Jose Sharks-Detroit Red Wings-
94 - 2019-12-04640Detroit Red Wings-Dallas Stars-
96 - 2019-12-06657Detroit Red Wings-Chicago Blackhawks-
98 - 2019-12-08669Montreal Canadiens-Detroit Red Wings-
101 - 2019-12-11689Ottawa Senators-Detroit Red Wings-
103 - 2019-12-13705Buffalo Sabres-Detroit Red Wings-
105 - 2019-12-15717Detroit Red Wings-New York Islanders-
108 - 2019-12-18740Pittsburgh Penguins-Detroit Red Wings-
109 - 2019-12-19749Florida Panthers-Detroit Red Wings-
111 - 2019-12-21759Detroit Red Wings-Colorado Avalanche-
113 - 2019-12-23767Detroit Red Wings-Minnesota Wild-
122 - 2020-01-01785Detroit Red Wings-New York Rangers-
123 - 2020-01-02797New York Rangers-Detroit Red Wings-
125 - 2020-01-04811Philadelphia Flyers-Detroit Red Wings-
128 - 2020-01-07827Detroit Red Wings-Buffalo Sabres-
129 - 2020-01-08841Detroit Red Wings-Columbus Blue Jackets-
131 - 2020-01-10855Boston Bruins-Detroit Red Wings-
133 - 2020-01-12866Detroit Red Wings-Buffalo Sabres-
135 - 2020-01-14884Detroit Red Wings-New Jersey Devils-
137 - 2020-01-16895Detroit Red Wings-Boston Bruins-
138 - 2020-01-17906Detroit Red Wings-Pittsburgh Penguins-
140 - 2020-01-19923Montreal Canadiens-Detroit Red Wings-
143 - 2020-01-22941Detroit Red Wings-New York Islanders-
145 - 2020-01-24963Calgary Flames-Detroit Red Wings-
147 - 2020-01-26975New Jersey Devils-Detroit Red Wings-
149 - 2020-01-28989Minnesota Wild-Detroit Red Wings-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301005Detroit Red Wings-Ottawa Senators-
153 - 2020-02-011017Colorado Avalanche-Detroit Red Wings-
157 - 2020-02-051044Chicago Blackhawks-Detroit Red Wings-
159 - 2020-02-071060Tampa Bay Lightning-Detroit Red Wings-
161 - 2020-02-091074Carolina Hurricanes-Detroit Red Wings-
163 - 2020-02-111087Detroit Red Wings-Washington Capitals-
165 - 2020-02-131100Detroit Red Wings-Tampa Bay Lightning-
167 - 2020-02-151121Florida Panthers-Detroit Red Wings-
171 - 2020-02-191152Detroit Red Wings-Phoenix Coyotes-
172 - 2020-02-201160Detroit Red Wings-Vegas Golden Knights-
175 - 2020-02-231176Detroit Red Wings-Boston Bruins-
177 - 2020-02-251196Philadelphia Flyers-Detroit Red Wings-
179 - 2020-02-271210Washington Capitals-Detroit Red Wings-
182 - 2020-03-011233Detroit Red Wings-St. Louis Blues-
184 - 2020-03-031242Detroit Red Wings-Toronto Maple Leafs-
186 - 2020-03-051264Tampa Bay Lightning-Detroit Red Wings-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance95,98581,01332,12663,31116,249
Attendance PCT94.10%95.31%94.49%93.10%95.58%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 16981 - 94.34% 602,991$10,250,851$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
19,993,467$ 47,090,000$ 16,494,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
47,090,000$ 18,324,501$ 0$ 20 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
14,471,790$ 115 274,813$ 31,603,495$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
32,822,275$ 47,090,000$ 117,547,189$ 99,196,704$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Charlie CoyleAGE:27PO:68OV:71
Daniel SprongAGE:22PO:77OV:62
Trevor MooreAGE:24PO:52OV:62
*Axel Jonsson-FjallbyAGE:21PO:64OV:56
Jonathan ToewsAGE:31PO:69OV:76
Charlie CoyleAGE:27PO:68OV:71
Jean-Gabriel PageauAGE:26PO:52OV:66
Chris MuellerAGE:33PO:52OV:65
Patrick BrownAGE:27PO:58OV:62
Dominic TurgeonAGE:23PO:66OV:59
*Stelio MattheosAGE:20PO:66OV:56
Patrick KaneAGE:30PO:71OV:77
Anthony ManthaAGE:24PO:79OV:70
William NylanderAGE:23PO:86OV:69
Matt LuffAGE:22PO:54OV:64
Daniel SprongAGE:22PO:77OV:62
Julien GauthierAGE:21PO:73OV:62
Dennis EverbergAGE:27PO:54OV:57

Défense #1Défense #2Gardien
Ryan McDonaghAGE:30PO:68OV:78
Seth JonesAGE:24PO:86OV:77
Brent SeabrookAGE:34PO:56OV:73
Thomas ChabotAGE:22PO:83OV:71
Brandon DavidsonAGE:27PO:49OV:65
Jake DotchinAGE:25PO:54OV:64
*William LagessonAGE:23PO:62OV:63
Stuart PercyAGE:26PO:77OV:61
Andrej SustrAGE:28PO:46OV:61
Jakub ZborilAGE:22PO:85OV:60
*Tobias GeisserAGE:20PO:71OV:59
Tristan JarryAGE:24PO:75OV:76
Tyler ParsonsAGE:21PO:68OV:69

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
Adam KubikDetroit Red Wings13180
Anders LindbackDetroit Red Wings
Blake McLaughlinDetroit Red Wings1471
Cole CasselsDetroit Red Wings
Dmitry ZhukenovDetroit Red Wings11119
Evan BouchardDetroit Red Wings148
Gabriel VilardiDetroit Red Wings135
Jack StudnickaDetroit Red Wings1347
Jakub GalvasDetroit Red Wings13160
Jaret Anderson-DolanDetroit Red Wings1334
Jason RobertsonDetroit Red Wings1336
Jeremy SwaymanDetroit Red Wings1398
Jett WooDetroit Red Wings1439
Joey KeaneDetroit Red Wings14130
Jonatan BerggrenDetroit Red Wings1437
Jonathan RacineDetroit Red Wings
Kyle PlatzerDetroit Red Wings
Lucas ElvenesDetroit Red Wings1367
Lukas DostalDetroit Red Wings1450
Matt CareyDetroit Red Wings
Patrick DwyerDetroit Red Wings
Radovan BondraDetroit Red Wings11149
Riley SutterDetroit Red Wings1499
Samuel MorinDetroit Red Wings
Xavier BernardDetroit Red Wings14161

Choix au Repêchage

Année R1R2R3R4R5R6
15Det STL Det Tam NYI Det Det Det NYI Det
16Det Det Car Det Clb Det Det Det
17Det Det Det Det Det Det
18Det Det Det Tam Det Det Det
19Det Det Det Det Det Det



[2019-08-15 21:26:51] - TRADE : From Tampa Bay Lightning to Detroit Red Wings : Y:18-RND:4-Tam.
[2019-08-02 11:41:17] - Matt Luff was added to Detroit Red Wings.
[2019-07-28 16:46:06] - TRADE : From Detroit Red Wings to Florida Panthers : Carl Soderberg (73).
[2019-07-28 16:38:09] - TRADE : From Detroit Red Wings to Phoenix Coyotes : Andrew Ladd (67).
[2019-07-19 09:08:47] - Detroit Red Wings drafts Xavier Bernard as the #161 overall pick in the Entry Draft of year 14.
[2019-07-08 07:52:18] - Detroit Red Wings drafts Joey Keane as the #130 overall pick in the Entry Draft of year 14.
[2019-06-28 10:58:28] - Detroit Red Wings drafts Riley Sutter as the #99 overall pick in the Entry Draft of year 14.



[2019-12-12 05:13:11] Auto Lines Partial Function has been run for Detroit Red Wings.
[2019-12-12 05:13:11] Auto Roster Partial Function has been run for Detroit Red Wings.
[2019-12-12 05:13:11] William Lagesson of Detroit Red Wings was sent to pro.
[2019-12-10 05:08:09] Game 477 - William Nylander from Detroit Red Wings is injured (Strained Right Knee) and is out for 1 week.
[2019-12-02 09:15:16] Auto Lines Partial Function has been run for Detroit Red Wings.
[2019-12-02 09:15:16] Auto Roster Partial Function has been run for Detroit Red Wings.
[2019-12-01 05:14:15] Tristan Jarry from Detroit Red Wings is back from Exhaustion.
[2019-11-30 05:15:30] There's not enough Goalie players to make a roster for Detroit Red Wings.
[2019-11-30 05:13:54] Tristan Jarry from Detroit Red Wings injured (Exhaustion)
[2019-11-20 14:06:29] Successfully loaded Detroit Red Wings lines done with STHS Client - 3.1.6.6
[2019-11-20 14:06:29] William Lagesson of Detroit Red Wings was sent down to farm.
[2019-11-19 11:42:02] Last 7 Days Farm Star : 1 - Filip Chytil of Barracuda (4-4-8) / 2 - Julien Gauthier of Griffins (2-6-8) / 3 - Rudolfs Balcers of Rampage (4-1-5)
[2019-11-16 09:37:18] Auto Lines Partial Function has been run for Detroit Red Wings.
[2019-11-16 09:37:18] Auto Roster Partial Function has been run for Detroit Red Wings.
[2019-11-15 09:08:57] Tyler Parsons from Detroit Red Wings is back from Exhaustion.
[2019-11-14 16:37:47] There's not enough Goalie players to make a roster for Detroit Red Wings.
[2019-11-14 16:31:08] There's not enough Goalie players to make a roster for Detroit Red Wings.
[2019-11-14 08:20:35] There's not enough Goalie players to make a roster for Detroit Red Wings.
[2019-11-14 08:19:27] Tyler Parsons from Detroit Red Wings injured (Exhaustion)
[2019-11-05 05:10:23] Brandon Davidson from Detroit Red Wings is back from Strained Left Elbow Injury.
[2019-11-04 05:07:06] Auto Lines Partial Function has been run for Detroit Red Wings.
[2019-11-04 05:07:06] Auto Roster Partial Function has been run for Detroit Red Wings.
[2019-11-03 10:19:36] Tristan Jarry from Detroit Red Wings is back from Exhaustion.
[2019-11-02 09:42:28] There's not enough Goalie players to make a roster for Detroit Red Wings.
[2019-11-02 09:40:28] Tristan Jarry from Detroit Red Wings injured (Exhaustion)
[2019-11-02 09:39:18] Auto Lines Partial Function has been run for Detroit Red Wings.
[2019-11-02 09:39:18] Auto Roster Partial Function has been run for Detroit Red Wings.
[2019-11-02 09:39:18] William Lagesson of Detroit Red Wings was sent to pro.
[2019-11-01 10:37:57] Game 199 - Brandon Davidson from Detroit Red Wings is injured (Strained Left Elbow) and is out for 1 week.



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
14339160140384113-291767002024756-91639012013757-2027841502340037321438742642933032510173083077411261814.29%1392681.29%1523109147.94%579112751.38%26350252.39%797545797244416208
Total Saison Régulière339160140384113-291767002024756-91639012013757-2027841502340037321438742642933032510173083077411261814.29%1392681.29%1523109147.94%579112751.38%26350252.39%797545797244416208