Detroit Red Wings

GP: 10 | W: 2 | L: 8 | OTL: 0 | P: 4
GF: 25 | GA: 42 | PP%: 26.92% | PK%: 85.19%
DG: Laurent Laporte | Morale : 42 | Moyenne d'Équipe : 69
Prochain matchs #152 vs Columbus Blue Jackets
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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 KaneX100.005338848866948992548783629179787144770
2Jonathan Toews (C)X100.005740898081879578908176797479926944760
3Charlie CoyleXX100.007337877287829471787465776873696844710
4Anthony ManthaX100.007449787594838074567377597669667944700
5William NylanderX100.005438898273806781767871587965638644690
6Jean-Gabriel PageauX100.008238816867835267816664786573705244660
7Chris MuellerX100.005837876572918764706366626782735244650
8Matt LuffX100.006143856780766466616369646263635445640
9Daniel SprongXX100.005738926571727764526366587263657744620
10Trevor MooreX100.005436916667776663586564596267645252620
11Patrick BrownX100.006837895881939157595557585773775852620
12Axel Jonsson-Fjallby (R)X100.005235955468767053525153545361636444560
13Ryan McDonaghX100.007739837380889572308166945378816841780
14Seth JonesX100.008039847788938876308373866269718644770
15Brent Seabrook (A)X100.007645796587859166307463805184755644730
16Thomas ChabotX100.006839847880918376308174636163648344710
17Brandon DavidsonX100.008039796182715959305857705275684944650
18Jake DotchinX100.008252685985746158306457665269655445640
Rayé
MOYENNE D'ÉQUIPE100.00674085707883786954706768647170654568
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 Jarry100.00808280797978807978807967717534760
2Tyler Parsons100.00717270747069717069717063676844690
Rayé
MOYENNE D'ÉQUIPE100.0076777577757476757476756569723973
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
1Patrick KaneDetroit Red WingsRW10751214072358153312.07%223623.650445220002270132.47%7700001.0111000020
2Jonathan ToewsDetroit Red WingsC1037100209164213277.14%423623.603148220000280054.98%29100000.8501000001
3Seth JonesDetroit Red WingsD103710-28018191952015.79%1324224.21101721000022100.00%000000.8300000110
4Ryan McDonaghDetroit Red WingsD10178-21551419164106.25%2123823.83112521000021000.00%000000.6700010001
5Charlie CoyleDetroit Red WingsC/LW1043704019101731323.53%522422.411122220000130158.33%3600000.6201000000
6Jean-Gabriel PageauDetroit Red WingsC10235-10201916277227.41%217817.88112519000010049.78%22900000.5600000000
7Thomas ChabotDetroit Red WingsD10134-820810177145.88%1320620.62033621000019000.00%000000.3900000000
8Anthony ManthaDetroit Red WingsRW10123-102015103313163.03%118518.55000619000090026.67%1500000.3200000000
9Brent SeabrookDetroit Red WingsD10011-86013129280.00%1720920.97000321000019000.00%000000.1000000000
10Andrej SustrGriffins (Det)D3011020200010.00%2175.970000000000000.00%000001.1200000000
11Daniel SprongDetroit Red WingsLW/RW10011-1000131350.00%118318.31011019000040050.00%1200000.1100000000
12Chris MuellerDetroit Red WingsC10101-1000817178155.88%012512.5700000000000048.48%13200000.1600000000
13Jake DotchinDetroit Red WingsD10011-119519420100.00%1213313.370000000004000.00%000000.1500001000
14Matt LuffDetroit Red WingsRW7101-10033100510.00%2497.0500000000060036.36%1100000.4100000000
15William NylanderDetroit Red WingsRW10011-1100813248170.00%212512.5900000000000057.14%700000.1600000000
16Brandon DavidsonDetroit Red WingsD10000-11401189330.00%1413813.840000000005000.00%000000.0000000000
17Trevor MooreDetroit Red WingsLW7000-1000317040.00%18512.1600000000000022.22%900000.0000000000
18Axel Jonsson-FjallbyDetroit Red WingsLW10000-200121110.00%0888.8500000000030046.67%1500000.0000000000
19Patrick BrownDetroit Red WingsC7000-140653010.00%0426.0800000000000045.28%5300000.0000000000
20William LagessonGriffins (Det)D3000000320010.00%3175.970000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne177244266-1066410187193312922267.69%115296516.75712194721100021881249.04%88700000.4513011132
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 Wings102800.8784.3954720403290001.0003100000
2Tyler ParsonsDetroit Red Wings20000.9512.1157002410000.0000010000
Stats d'équipe Total ou en Moyenne122800.8864.1760420423700001.00031010000


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$3,490,000$NoLien
Axel Jonsson-FjallbyDetroit Red WingsLW211998-02-10Yes170 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$300,000$NoLien
Brandon DavidsonDetroit Red WingsD271991-08-21No208 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Brent SeabrookDetroit Red WingsD341985-04-20No220 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Charlie CoyleDetroit Red WingsC/LW271992-03-02No220 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Chris MuellerDetroit Red WingsC331986-03-06No196 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm300,000$300,000$300,000$NoLien
Daniel SprongDetroit Red WingsLW/RW221997-03-17No180 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Jake DotchinDetroit Red WingsD251994-03-24No210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Jean-Gabriel PageauDetroit Red WingsC261992-11-11No184 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Jonathan ToewsDetroit Red WingsC311988-04-29No201 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien
Matt LuffDetroit Red WingsRW221997-05-05No196 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$300,000$NoLien
Patrick BrownDetroit Red WingsC271992-05-29No216 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Patrick KaneDetroit Red WingsRW301988-11-19No177 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm8,000,000$8,000,000$8,000,000$NoLien
Ryan McDonaghDetroit Red WingsD301989-06-13No215 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien
Seth JonesDetroit Red WingsD241994-10-03No210 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Thomas ChabotDetroit Red WingsD221997-01-30No196 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Trevor MooreDetroit Red WingsLW241995-03-31No182 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Tristan JarryDetroit Red WingsG241995-04-29No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Tyler ParsonsDetroit Red WingsG211997-09-18No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
William NylanderDetroit Red WingsRW231996-05-01No191 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.85199 Lbs6 ft11.952,384,500$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,690,000$17,100,000$7,500,000$300,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Charlie CoyleJonathan ToewsPatrick Kane40122
2Daniel SprongJean-Gabriel PageauAnthony Mantha30122
3Trevor MooreChris MuellerWilliam Nylander20122
4Axel Jonsson-FjallbyPatrick BrownMatt Luff10122
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 SprongJean-Gabriel PageauAnthony Mantha40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonaghSeth Jones60122
2Brent SeabrookThomas Chabot40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Patrick KaneJonathan 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
1Patrick Kane60122Ryan 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
William Nylander, Chris Mueller, Matt LuffWilliam Nylander, Chris MuellerMatt Luff
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Davidson, Jake Dotchin, Brent SeabrookBrandon DavidsonJake Dotchin, Brent Seabrook
Tirs de Pénalité
Patrick Kane, Jonathan Toews, Charlie Coyle, Anthony Mantha, William Nylander
Gardien
#1 : Tristan Jarry, #2 : Tyler Parsons


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
1Carolina Hurricanes2010001045-11010000002-21000001043120.500461000111163192320457252035400.00%50100.00%018335751.26%17835250.57%7416844.05%483451142512
2Columbus Blue Jackets1010000036-3000000000001010000036-300.0003690021003716156049126275240.00%30100.00%018335751.26%17835250.57%7416844.05%2215246136
3New Jersey Devils1010000015-41010000015-40000000000000.00012300010031811120454014300.00%000.00%018335751.26%17835250.57%7416844.05%2418247115
4New York Islanders1010000034-11010000034-10000000000000.0003580011104516151402884165240.00%2150.00%018335751.26%17835250.57%7416844.05%2517226116
5New York Rangers1010000035-2000000000001010000035-200.00035800111039914160315232300.00%110.00%018335751.26%17835250.57%7416844.05%2317236126
6Philadelphia Flyers2020000048-41010000046-21010000002-200.000471100211051191418070291634100.00%70100.00%018335751.26%17835250.57%7416844.05%443150142512
7Pittsburgh Penguins1010000036-3000000000001010000036-300.000358001110249960431912144250.00%6266.67%018335751.26%17835250.57%7416844.05%2114257135
Total1018000102542-1740400000817-9614000101725-840.2002542670099613121051079943701156618726726.92%27485.19%018335751.26%17835250.57%7416844.05%2301632497012561
9Washington Capitals11000000431000000000001100000043121.0004610001210229670471361511100.00%30100.00%018335751.26%17835250.57%7416844.05%2013267126
_Since Last GM Reset1018000102542-1740400000817-9614000101725-840.2002542670099613121051079943701156618726726.92%27485.19%018335751.26%17835250.57%7416844.05%2301632497012561
_Vs Conference1018000102542-1740400000817-9614000101725-840.2002542670099613121051079943701156618726726.92%27485.19%018335751.26%17835250.57%7416844.05%2301632497012561

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
104SOW12542673123701156618700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
101800102542
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4040000817
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
61400101725
Derniers 10 Matchs
WLOTWOTL SOWSOL
180010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
26726.92%27485.19%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
1051079949961
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
18335751.26%17835250.57%7416844.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2301632497012561


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
1 - 2019-09-0213Detroit Red Wings3New York Rangers5LSommaire du Match
2 - 2019-09-0319Detroit Red Wings3Pittsburgh Penguins6LSommaire du Match
4 - 2019-09-0534New York Islanders4Detroit Red Wings3LSommaire du Match
6 - 2019-09-0751Philadelphia Flyers6Detroit Red Wings4LSommaire du Match
7 - 2019-09-0866Detroit Red Wings0Philadelphia Flyers2LSommaire du Match
8 - 2019-09-0981Carolina Hurricanes2Detroit Red Wings0LSommaire du Match
10 - 2019-09-1199New Jersey Devils5Detroit Red Wings1LSommaire du Match
11 - 2019-09-12113Detroit Red Wings4Washington Capitals3WSommaire du Match
13 - 2019-09-14132Detroit Red Wings3Columbus Blue Jackets6LSommaire du Match
14 - 2019-09-15138Detroit Red Wings4Carolina Hurricanes3WXXSommaire du Match
15 - 2019-09-16152Columbus Blue Jackets-Detroit Red Wings-
17 - 2019-09-18172Detroit Red Wings-New York Islanders-
18 - 2019-09-19182Washington Capitals-Detroit Red Wings-
20 - 2019-09-21204New York Rangers-Detroit Red Wings-
21 - 2019-09-22213Detroit Red Wings-New Jersey Devils-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
25 - 2019-09-26237Pittsburgh Penguins-Detroit Red Wings-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
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
4 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$ 47,690,000$ 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
0$ 0$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 128,009,805$ 128,009,805$



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.
[2019-06-22 09:13:37] - Dennis Everberg was added to Detroit Red Wings.
[2019-06-20 15:03:27] - Axel Jonsson-Fjallby was added to Detroit Red Wings.
[2019-06-20 15:03:26] - William Lagesson was added to Detroit Red Wings.



[2019-09-12 07:52:25] Last 7 Days Farm Star : 1 - Julien Gauthier of Griffins (5-6-11) / 2 - Warren Foegele of Penguins (5-5-10) / 3 - Kenny Agostino of Penguins (5-3-8)
[2019-09-10 10:23:57] Successfully loaded Detroit Red Wings lines done with STHS Client - 3.1.6.6
[2019-09-10 10:23:57] William Lagesson of Detroit Red Wings was sent down to farm.
[2019-09-10 10:23:57] Tobias Geisser of Detroit Red Wings was sent down to farm.
[2019-09-10 10:23:57] Stelio Mattheos of Detroit Red Wings was sent down to farm.
[2019-09-10 10:23:57] Patrick Brown of Detroit Red Wings was sent to pro.
[2019-09-10 10:23:57] Dennis Everberg of Detroit Red Wings was sent down to farm.
[2019-09-10 10:23:57] Dominic Turgeon of Detroit Red Wings was sent down to farm.
[2019-09-10 10:23:57] Trevor Moore of Detroit Red Wings was sent to pro.
[2019-09-10 10:23:57] Andrej Sustr of Detroit Red Wings was sent down to farm.
[2019-09-09 11:05:43] Trevor Moore from Griffins has scored a Hat Trick!
[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.
[2019-07-29 23:39:45] Auto Lines Function has been run for Detroit Red Wings.
[2019-07-29 23:39:41] Auto Roster Partial Function has been run for Detroit Red Wings.
[2019-07-29 23:39:35] Tyler Parsons of Detroit Red Wings was sent to pro.
[2019-07-29 23:38:42] Detroit Red Wings roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Defenseman available in Pro Team! 3 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.
[2019-07-29 23:38:25] Dominic Turgeon of Detroit Red Wings was sent to pro.
[2019-07-29 23:38:04] Detroit Red Wings roster errors : Not enough Left Wings available in Pro Team! 0 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 10 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-29 23:37:58] Detroit Red Wings roster errors : Not enough Left Wings available in Pro Team! 0 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 10 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-28 23:55:11] Detroit Red Wings roster errors : Not enough Left Wings available in Pro Team! 0 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 10 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-28 16:46:06] TRADE : From Detroit Red Wings to Florida Panthers : Carl Soderberg (73).



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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