Detroit Red Wings

GP: 8 | W: 1 | L: 4 | OTL: 3 | P: 5
GF: 18 | GA: 28 | PP%: 21.88% | PK%: 89.47%
DG: Laurent Laporte | Morale : 39 | Moyenne d'Équipe : 69
Prochain matchs #137 vs Vancouver Canucks
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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 KaneX98.005338848866948992548783629179787141770
2Jonathan Toews (C)X98.005740898081879578908176797479926941760
3Charlie CoyleXX98.007337877287829471787465776873696841710
4Anthony ManthaX100.007449787594838074567377597669667941700
5William NylanderX100.005438898273806781767871587965638641690
6Jean-Gabriel PageauX100.008238816867835267816664786573705241660
7Chris MuellerX100.005837876572918764706366626782735241650
8Matt LuffX100.006143856780766466616369646263635441640
9Daniel SprongXX100.005738926571727764526366587263657741630
10Trevor MooreX100.005436916667776663586564596267645241620
11Patrick BrownX100.006837895881939157595557585773775841620
12Axel Jonsson-Fjallby (R)X100.005235955468767053525153545361636441560
13Ryan McDonaghX100.007739837380889572308166945378816841780
14Seth JonesX100.008039847788938876308373866269718641770
15Brent Seabrook (A)X100.007645796587859166307463805184755641730
16Thomas ChabotX100.006839847880918376308174636163648341710
17Brandon DavidsonX100.008039796182715959305857705275684941650
18Jake DotchinX100.008252685985746158306457665269655442640
Rayé
MOYENNE D'ÉQUIPE99.67674085707883786954706768647170654168
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 Jarry96.00808280797978807978807967717535760
2Tyler Parsons99.00717270747069717069717063676841690
Rayé
MOYENNE D'ÉQUIPE97.5076777577757476757476756569723873
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
1Brent SeabrookDetroit Red WingsD8066-840251411460.00%2317722.15055822000032000.00%000000.6800000000
2Jonathan ToewsDetroit Red WingsC8246-62012172042210.00%519123.981124250111380061.17%20600000.6311000010
3Thomas ChabotDetroit Red WingsD8145-6803118595.56%1216821.091231222000028000.00%000000.5900000000
4Brandon DavidsonDetroit Red WingsD8044160996210.00%311414.370001000001000.00%000000.7000000000
5William NylanderDetroit Red WingsRW84041201091531426.67%18911.1500000000000150.00%600000.9001000000
6Jean-Gabriel PageauDetroit Red WingsC8303-21202212122625.00%413016.31202223000010047.06%17000000.4600000011
7Chris MuellerDetroit Red WingsC81231206672414.29%08911.1300000000000039.19%7400000.6700000000
8Anthony ManthaDetroit Red WingsRW8123-2802010155116.67%214317.951125230001170025.00%1200000.4211000000
9Patrick KaneDetroit Red WingsRW8213-600714288197.14%019524.460006251012410030.61%9800000.3101000000
10Daniel SprongDetroit Red WingsLW/RW8202-30021102320.00%213617.00101323000040014.29%700000.2901000000
11Charlie CoyleDetroit Red WingsC/LW8112-980268167126.25%217521.941014250000171045.16%3100000.2301000000
12Trevor MooreDetroit Red WingsLW8022020144250.00%09211.5400000000000025.00%400000.4300000000
13Seth JonesDetroit Red WingsD8112-5601813155116.67%1019824.87011826000031000.00%000000.2000000000
14Ryan McDonaghDetroit Red WingsD8011-460171418440.00%1819924.940001026000131000.00%000000.1000000000
15Jake DotchinDetroit Red WingsD801101351923120.00%511314.220000000007000.00%000000.1800001000
16Axel Jonsson-FjallbyDetroit Red WingsLW8000-300000120.00%1465.7900000000000050.00%200000.0000000000
17Patrick BrownDetroit Red WingsC8000-300462210.00%0465.7900000000000035.85%5300000.0000000000
18Matt LuffDetroit Red WingsRW8000-320509340.00%0587.26000000000110045.45%1100000.0000000000
Stats d'équipe Total ou en Moyenne144182947-57815206140209621368.61%88236716.44710176324811252651146.29%67400000.4026001021
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 Wings61410.9122.8731400151700100.500662200
2Tyler ParsonsDetroit Red Wings30020.8594.111750012850200.000026000
Stats d'équipe Total ou en Moyenne91430.8943.3149000272550300.500688200


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$3,172,727$NoLien
Axel Jonsson-FjallbyDetroit Red WingsLW211998-02-10Yes170 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$272,727$NoLien
Brandon DavidsonDetroit Red WingsD271991-08-21No208 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Brent SeabrookDetroit Red WingsD341985-04-20No220 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Charlie CoyleDetroit Red WingsC/LW271992-03-02No220 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Chris MuellerDetroit Red WingsC331986-03-06No196 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm300,000$300,000$272,727$NoLien
Daniel SprongDetroit Red WingsLW/RW221997-03-17No180 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Jake DotchinDetroit Red WingsD251994-03-24No210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Jean-Gabriel PageauDetroit Red WingsC261992-11-11No184 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Jonathan ToewsDetroit Red WingsC311988-04-29No201 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$5,909,091$NoLien
Matt LuffDetroit Red WingsRW221997-05-05No196 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$272,727$NoLien
Patrick BrownDetroit Red WingsC271992-05-29No216 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Patrick KaneDetroit Red WingsRW301988-11-19No177 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm8,000,000$8,000,000$7,272,727$NoLien
Ryan McDonaghDetroit Red WingsD301989-06-13No215 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$5,909,091$NoLien
Seth JonesDetroit Red WingsD241994-10-03No210 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Thomas ChabotDetroit Red WingsD221997-01-30No196 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Trevor MooreDetroit Red WingsLW241995-03-31No182 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Tristan JarryDetroit Red WingsG241995-04-29No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Tyler ParsonsDetroit Red WingsG211997-09-18No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$454,545$NoLien
William NylanderDetroit Red WingsRW231996-05-01No191 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$818,182$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
1Anaheim Ducks1000010045-11000010045-10000000000010.5004590022003611515524812244250.00%6183.33%111126142.53%13528048.21%6611656.90%2114278136
2Calgary Flames1010000036-3000000000001010000036-300.000358001110239410046910245240.00%50100.00%011126142.53%13528048.21%6611656.90%2315237126
3Dallas Stars1010000003-31010000003-30000000000000.00000000000016583032151233200.00%60100.00%011126142.53%13528048.21%6611656.90%2012277126
4Edmonton Oilers1010000012-1000000000001010000012-100.00012300100020866029131724000.00%60100.00%011126142.53%13528048.21%6611656.90%2114266115
5Montreal Canadiens1000010045-1000000000001000010045-110.500471100310027899128610216116.67%5180.00%011126142.53%13528048.21%6611656.90%2821247126
6Nashville Predators1000000123-1000000000001000000123-110.500235000112371610894011826500.00%40100.00%011126142.53%13528048.21%6611656.90%2517267136
7Toronto Maple Leafs11000000211110000002110000000000021.000246000110309138031116238112.50%30100.00%011126142.53%13528048.21%6611656.90%2617227116
Total814002011828-103110010069-3503001011219-750.31318294700873220979596215255888120632721.88%38489.47%111126142.53%13528048.21%6611656.90%188127204589848
9Vancouver Canucks1010000023-1000000000001010000023-100.000235001100201343025156312150.00%3233.33%011126142.53%13528048.21%6611656.90%2214267115
_Since Last GM Reset814002011828-103110010069-3503001011219-750.31318294700873220979596215255888120632721.88%38489.47%111126142.53%13528048.21%6611656.90%188127204589848
_Vs Conference21000100660110000002111000010045-130.750611170032105717221715917164414214.29%8187.50%011126142.53%13528048.21%6611656.90%543846142312
_Vs Division21000100660110000002111000010045-130.750611170032105717221715917164414214.29%8187.50%011126142.53%13528048.21%6611656.90%543846142312

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
85L3182947209255888120600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
81402011828
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311010069
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
50301011219
Derniers 10 Matchs
WLOTWOTL SOWSOL
140201
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
32721.88%38489.47%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
795962158732
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
11126142.53%13528048.21%6611656.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
188127204589848


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 Canucks-Detroit Red Wings-
22 - 2019-09-23143Detroit Red Wings-Ottawa Senators-
24 - 2019-09-25159Buffalo Sabres-Detroit Red Wings-
26 - 2019-09-27171St. Louis Blues-Detroit Red Wings-
28 - 2019-09-29184Edmonton Oilers-Detroit Red Wings-
31 - 2019-10-02199Detroit Red Wings-Carolina Hurricanes-
32 - 2019-10-03209Detroit Red Wings-Florida Panthers-
34 - 2019-10-05222Nashville Predators-Detroit Red Wings-
36 - 2019-10-07235Detroit Red Wings-New York Rangers-
38 - 2019-10-09249Boston Bruins-Detroit Red Wings-
40 - 2019-10-11266Vegas Golden Knights-Detroit Red Wings-
42 - 2019-10-13278Detroit Red Wings-Anaheim Ducks-
44 - 2019-10-15293Detroit Red Wings-Los Angeles Kings-
46 - 2019-10-17313Detroit Red Wings-San Jose Sharks-
49 - 2019-10-20323Ottawa Senators-Detroit Red Wings-
51 - 2019-10-22337Detroit Red Wings-Columbus Blue Jackets-
53 - 2019-10-24356Detroit Red Wings-New Jersey Devils-
54 - 2019-10-25363Carolina Hurricanes-Detroit Red Wings-
57 - 2019-10-28379Toronto Maple Leafs-Detroit Red Wings-
59 - 2019-10-30397Detroit Red Wings-Philadelphia Flyers-
60 - 2019-10-31407Washington Capitals-Detroit Red Wings-
62 - 2019-11-02421New York Islanders-Detroit Red Wings-
67 - 2019-11-07456Pittsburgh Penguins-Detroit Red Wings-
70 - 2019-11-10477Detroit Red Wings-Winnipeg Jets-
72 - 2019-11-12491Winnipeg Jets-Detroit Red Wings-
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
Assistance17,82914,0735,92111,4842,818
Attendance PCT99.05%93.82%98.68%95.70%93.93%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 17375 - 96.53% 616,725$1,850,175$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
4,726,357$ 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
47,690,000$ 4,332,785$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
23,435,550$ 170 278,021$ 47,263,570$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
49,034,455$ 47,690,000$ 124,963,538$ 99,364,633$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Charlie CoyleAGE:27PO:68OV:71
Daniel SprongAGE:22PO:77OV:63
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:63
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.



[2019-10-12 11:06:05] Successfully loaded Detroit Red Wings lines done with STHS Client - 3.1.6.6
[2019-10-08 07:28:56] Auto Lines Partial Function has been run for Detroit Red Wings.
[2019-10-08 07:28:56] Auto Roster Partial Function has been run for Detroit Red Wings.
[2019-10-07 07:41:19] Tristan Jarry from Detroit Red Wings is back from Exhaustion.
[2019-10-06 09:47:25] There's not enough Goalie players to make a roster for Detroit Red Wings.
[2019-10-06 09:45:40] Tristan Jarry from Detroit Red Wings injured (Exhaustion)
[2019-09-24 09:17:37] Stelio Mattheos from Griffins has scored a Hat Trick!
[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!



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
14814002011828-103110010069-3503001011219-7518294700873220979596215255888120632721.88%38489.47%111126142.53%13528048.21%6611656.90%188127204589848
Total Saison Régulière814002011828-103110010069-3503001011219-7518294700873220979596215255888120632721.88%38489.47%111126142.53%13528048.21%6611656.90%188127204589848