Association Québécoise de Hockey Simulé - Detroit Red Wings 

Detroit Red Wings

GP: 22 | W: 12 | L: 9 | OTL: 1 | P: 25
GF: 68 | GA: 66 | PP%: 18.75% | PK%: 86.67%
DG: Dominic Dion | Morale : 90 | Moyenne d'Équipe : 71
Prochain matchs #352 vs Atlanta Supra
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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
1Jack McBainX100.00995774817270995874546279678374090700
2Dominik KubalikX100.00714587876575986830657055708779090690
3Nicklas BackstromX100.00594585866984476780696568819589090690
4Ryan McLeodX100.00614586827371696278576676688374090680
5Kent JohnsonX100.00504590885373956660656755798072090680
6Taylor RaddyshX100.00704589847183946430587158698579090680
7Philip TomasinoX100.00664590885578406930746366828174090670
8Arthur KaliyevX100.00624589837558686630626955718170090660
9Kiefer SherwoodX100.00995169846368406230556869688879090650
10Alex ChiassonX100.00614587827860406330527559699281090640
11John MarinoX100.00614586845388775830585894678580090720
12Joel Edmundson (A)X100.00885169778182745430555483668983090720
13Zach WerenskiX100.00514595837198406430616884698583090710
14Ethan BearX100.00604884825777745730575684678578090690
15Erik BrannstromX100.00614581834967895630585383678373090680
Rayé
1Martin NecasX94.00614584936492998175837862778479090780
2Dougie Hamilton (C)X94.00634578958891998830928367778985090830
3Andrew PeekeX99.00984587777289975330475989668580090740
MOYENNE D'ÉQUIPE99.2869478484677874644262667171867809070
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
1Ilya Samsonov99.0094768988959194919594708581090780
2Pheonix Copley100.0087718288918187819186789186090750
Rayé
MOYENNE D'ÉQUIPE99.509174868893869186939074888409077
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff71929696987144CAN6435,000,000$


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
1Martin NecasDetroit Red WingsC181310232180404990276614.44%1044524.754268470001475050.48%519147001.0311000421
2Dougie HamiltonDetroit Red WingsD2021820043530377441282.70%2650625.310331155011147000.00%02614000.7900000001
3Dominik KubalikDetroit Red WingsRW2261117-210036196220229.68%844720.3524614560111430142.42%33179000.7602000011
4Nicklas BackstromDetroit Red WingsLW226814-340393055163410.91%844820.392357561011440165.85%41156000.6201000012
5Taylor RaddyshDetroit Red WingsRW227714-240292349143314.29%735516.14033144000001236.84%19107000.7900000100
6Arthur KaliyevDetroit Red WingsRW22551012034245624378.93%732214.65000010000221011.54%26153000.6200000020
7Jack McBainDetroit Red WingsC222810-318051443210226.25%945120.510112440002581048.44%384316000.4402000020
8Kent JohnsonDetroit Red WingsC22549340163350172510.00%933915.41011014000060041.75%19495000.5300000001
9Philip TomasinoDetroit Red WingsLW16459-66024194510278.89%525616.03112632000001022.22%9104000.7000000101
10John MarinoDetroit Red WingsD22178-640834228184.55%2444220.12022041000154000.00%0521000.3600000001
11Joel EdmundsonDetroit Red WingsD2235801202326226713.64%2743119.60213343000047000.00%0111000.3700000100
12Alex ChiassonDetroit Red WingsLW22437240201735131511.43%1028512.98000030000130125.00%1263000.4900000002
13Andrew PeekeDetroit Red WingsD2216738037412716133.70%2950923.15112359000165100.00%0416000.2700000101
14Pavel DorofeyevScorpions (DET)LW1041532011618101922.22%314514.6000001000000100.00%134000.6900000100
15Ryan McLeodDetroit Red WingsC2222400013151611512.50%42059.34000040001100054.21%10752000.3900000100
16Zach WerenskiDetroit Red WingsD21134520218185105.56%1830614.590000900006000.00%0510000.2600000000
17Erik BrannstromDetroit Red WingsD22044-4407134320.00%91446.580000000009000.00%007000.5500000000
18Kiefer SherwoodDetroit Red WingsRW22134260205153126.67%41366.1900000000030080.00%515000.5900000000
19Ethan BearDetroit Red WingsD22022040102711750.00%1331114.1500001000019000.00%0314000.1300000000
20Fabian ZetterlundScorpions (DET)LW1000000000000.00%055.500000000000000.00%000000.0000000000
21Nils LundkvistScorpions (DET)D2000000000000.00%084.330000000000000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne39667112179-515554504807012514109.56%230650516.4312223455527123950311547.93%1350152165000.551600010811
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
1Ilya SamsonovDetroit Red Wings2111910.9002.9312718062620245020.8336211212
2Pheonix CopleyDetroit Red Wings11000.9671.00600013011000.0000121100
Stats d'équipe Total ou en Moyenne2212910.9032.8413318063650256020.83362222312


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
Alex ChiassonDetroit Red WingsLW321990-10-01No208 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm4,500,000$4,500,000$3,294,643$No
Andrew PeekeDetroit Red WingsD251998-03-17No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$732,143$No
Arthur KaliyevDetroit Red WingsRW222001-06-26No210 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm2,000,000$2,000,000$1,464,286$No
Dominik KubalikDetroit Red WingsRW281995-08-21No190 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm2,500,000$2,500,000$1,830,357$No
Dougie HamiltonDetroit Red WingsD301993-06-17No230 Lbs6 ft6NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$4,758,929$No
Erik BrannstromDetroit Red WingsD241999-09-02No185 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm1,200,000$1,200,000$878,571$No
Ethan BearDetroit Red WingsD261997-06-26No197 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm1,500,000$1,500,000$1,098,214$No
Ilya SamsonovDetroit Red WingsG261997-02-22No214 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm4,000,000$4,000,000$2,928,571$No
Jack McBainDetroit Red WingsC232000-01-06No201 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$732,143$No
Joel EdmundsonDetroit Red WingsD301993-06-28No221 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$2,562,500$No
John MarinoDetroit Red WingsD261997-05-21No181 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm2,250,000$2,250,000$1,647,321$No
Kent JohnsonDetroit Red WingsC202002-10-18No175 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,200,000$1,200,000$878,571$No
Kiefer SherwoodDetroit Red WingsRW281995-03-31No194 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm800,000$800,000$585,714$No
Martin NecasDetroit Red WingsC241999-01-15No189 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm6,000,000$6,000,000$4,392,857$No
Nicklas BackstromDetroit Red WingsLW351987-11-23No202 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm4,000,000$4,000,000$2,928,571$No
Pheonix CopleyDetroit Red WingsG311992-01-18No200 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm2,100,000$2,100,000$1,537,500$No
Philip TomasinoDetroit Red WingsLW222001-07-28No179 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,200,000$1,200,000$878,571$No
Ryan McLeodDetroit Red WingsC241999-09-21No207 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm1,500,000$1,500,000$1,098,214$No
Taylor RaddyshDetroit Red WingsRW251998-02-18No198 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$732,143$No
Zach WerenskiDetroit Red WingsD261997-07-19No213 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm5,500,000$5,500,000$4,026,786$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2026.35200 Lbs6 ft22.302,662,500$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
53,250,000$34,700,000$30,300,000$3,700,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicklas BackstromDominik Kubalik35122
2Philip TomasinoJack McBainTaylor Raddysh30122
3Alex ChiassonKent JohnsonArthur Kaliyev25122
4Ryan McLeodKiefer Sherwood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Joel EdmundsonJohn Marino30122
3Zach WerenskiEthan Bear25122
4Erik Brannstrom10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicklas BackstromDominik Kubalik55122
2Philip TomasinoJack McBainTaylor Raddysh45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Joel EdmundsonJohn Marino45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jack McBain55122
2Dominik KubalikNicklas Backstrom45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Joel EdmundsonJohn Marino45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
2Jack McBain45122Joel EdmundsonJohn Marino45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jack McBain55122
2Dominik KubalikNicklas Backstrom45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Joel EdmundsonJohn Marino45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicklas BackstromDominik Kubalik
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicklas BackstromDominik Kubalik
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kent Johnson, Ryan McLeod, Arthur KaliyevKent Johnson, Ryan McLeodArthur Kaliyev
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zach Werenski, Ethan Bear, Erik BrannstromZach WerenskiEthan Bear, Erik Brannstrom
Tirs de Pénalité
, Jack McBain, Dominik Kubalik, Nicklas Backstrom, Kent Johnson
Gardien
#1 : Ilya Samsonov, #2 : Pheonix Copley
Lignes d'Attaque Perso. en Prol.
, Jack McBain, Dominik Kubalik, Nicklas Backstrom, Kent Johnson, Taylor Raddysh, Taylor Raddysh, Ryan McLeod, Philip Tomasino, Arthur Kaliyev, Kiefer Sherwood
Lignes de Défense Perso. en Prol.
, , Joel Edmundson, John Marino, Zach Werenski


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
1Atlanta Supra32000010963110000002112100001075261.000913220015219535302949247186411218.18%9277.78%024249548.89%25053646.64%15530950.16%583072295427
2Boston Bruins20101000440100010003211010000012-120.5004812001021522212153591914447114.29%70100.00%024249548.89%25053646.64%15530950.16%401942183819
3Calgary Red Bull11000000523110000005230000000000021.0005813002120371317701792226350.00%10100.00%024249548.89%25053646.64%15530950.16%2213219168
4Chicago Blackhawks1010000023-11010000023-10000000000000.00024600110027148502514621200.00%30100.00%024249548.89%25053646.64%15530950.16%1911239178
5Cleveland Bulldogs20100001913-41000000167-11010000036-310.250916250022507418302457229630700.00%3166.67%024249548.89%25053646.64%15530950.16%392247193719
6Colorado Zipper11000000321000000000001100000032121.0003580030003081210236820200.00%4175.00%024249548.89%25053646.64%15530950.16%19918102111
7Dallas Storm11000000422000000000001100000042221.000471100022032813110345122511100.00%60100.00%024249548.89%25053646.64%15530950.16%2011239167
8Miami Heat11000000523000000000001100000052321.00059140003204692890291217154125.00%20100.00%024249548.89%25053646.64%15530950.16%2515178179
9Montreal Canadiens10001000321100010003210000000000021.000369000201379151123511821300.00%4175.00%024249548.89%25053646.64%15530950.16%21122310188
10New York Rangers2020000059-41010000024-21010000035-200.000571210131065282512057201846100.00%9188.89%024249548.89%25053646.64%15530950.16%432438193818
11Ottawa Lumberjacks1010000035-2000000000001010000035-200.00036900102028118903312142411100.00%7271.43%124249548.89%25053646.64%15530950.16%189258168
12Regina Pats321000001165220000009271010000024-240.6671116271032608734233009125186210220.00%90100.00%024249548.89%25053646.64%15530950.16%623463275326
Total22990201168662115302001362881146000103238-6250.5686811218020162326370124023921414652230163450641218.75%751086.67%124249548.89%25053646.64%15530950.16%449246483208400199
14Washington Budweiser2110000046-2110000003121010000015-420.5004610000220631621260661416387114.29%8275.00%024249548.89%25053646.64%15530950.16%382146183417
15Winnipeg Jets1010000014-31010000014-30000000000000.0001120010002815850197618200.00%30100.00%024249548.89%25053646.64%15530950.16%2011209189
_Since Last GM Reset22990201168662115302001362881146000103238-6250.5686811218020162326370124023921414652230163450641218.75%751086.67%124249548.89%25053646.64%15530950.16%449246483208400199
_Vs Conference1566010114547-26220100118180944000102729-2170.5674575120109181624841581681521245716611530342614.29%51786.27%024249548.89%25053646.64%15530950.16%304166330143276137
_Vs Division1346010113843-56220100118180724000102025-5130.500386310110616142422142154120124001559525839512.82%41685.37%024249548.89%25053646.64%15530950.16%264144288123237119

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2225L16811218070165223016345020
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
229920116866
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115320013628
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
114600103238
Derniers 10 Matchs
WLOTWOTL SOWSOL
531010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
641218.75%751086.67%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
240239214141623263
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
24249548.89%25053646.64%15530950.16%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
449246483208400199


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 - 2024-04-065Detroit Red Wings3Cleveland Bulldogs6LSommaire du Match
2 - 2024-04-0724Boston Bruins2Detroit Red Wings3WXSommaire du Match
3 - 2024-04-0835Detroit Red Wings2Regina Pats4LSommaire du Match
4 - 2024-04-0950New York Rangers4Detroit Red Wings2LSommaire du Match
7 - 2024-04-1276Detroit Red Wings5Miami Heat2WSommaire du Match
8 - 2024-04-1387Chicago Blackhawks3Detroit Red Wings2LSommaire du Match
10 - 2024-04-15103Detroit Red Wings1Boston Bruins2LSommaire du Match
11 - 2024-04-16113Detroit Red Wings4Atlanta Supra3WSommaire du Match
12 - 2024-04-17125Cleveland Bulldogs7Detroit Red Wings6LXXSommaire du Match
13 - 2024-04-18147Washington Budweiser1Detroit Red Wings3WSommaire du Match
15 - 2024-04-20165Detroit Red Wings1Washington Budweiser5LSommaire du Match
16 - 2024-04-21177Atlanta Supra1Detroit Red Wings2WSommaire du Match
17 - 2024-04-22197Regina Pats1Detroit Red Wings6WSommaire du Match
18 - 2024-04-23207Detroit Red Wings3New York Rangers5LSommaire du Match
20 - 2024-04-25228Winnipeg Jets4Detroit Red Wings1LSommaire du Match
22 - 2024-04-27249Detroit Red Wings3Colorado Zipper2WSommaire du Match
23 - 2024-04-28262Montreal Canadiens2Detroit Red Wings3WXSommaire du Match
24 - 2024-04-29276Detroit Red Wings3Atlanta Supra2WXXSommaire du Match
26 - 2024-05-01294Regina Pats1Detroit Red Wings3WSommaire du Match
28 - 2024-05-03309Detroit Red Wings4Dallas Storm2WSommaire du Match
29 - 2024-05-04323Calgary Red Bull2Detroit Red Wings5WSommaire du Match
30 - 2024-05-05335Detroit Red Wings3Ottawa Lumberjacks5LSommaire du Match
32 - 2024-05-07352Atlanta Supra-Detroit Red Wings-
33 - 2024-05-08374Detroit Red Wings-Miami Heat-
34 - 2024-05-09383Halifax Thunder-Detroit Red Wings-
36 - 2024-05-11406Hamilton Tigers-Detroit Red Wings-
38 - 2024-05-13422Detroit Red Wings-Toronto Maple Leafs-
39 - 2024-05-14437Moncton Wildcats-Detroit Red Wings-
41 - 2024-05-16456Detroit Red Wings-Seattle Kraken-
42 - 2024-05-17469Detroit Red Wings-Nunavut Mystery-
43 - 2024-05-18480St-Johns Desperados-Detroit Red Wings-
45 - 2024-05-20502Detroit Red Wings-Quebec Nordiques-
46 - 2024-05-21512Ottawa Lumberjacks-Detroit Red Wings-
48 - 2024-05-23531Houston Supernova-Detroit Red Wings-
49 - 2024-05-24544Detroit Red Wings-Boston Bruins-
51 - 2024-05-26563Boston Bruins-Detroit Red Wings-
53 - 2024-05-28580Detroit Red Wings-Halifax Thunder-
54 - 2024-05-29594New York Rangers-Detroit Red Wings-
55 - 2024-05-30608Detroit Red Wings-Houston Supernova-
56 - 2024-05-31624Detroit Red Wings-Anaheim Icehawks-
57 - 2024-06-01634St-Louis Blues-Detroit Red Wings-
59 - 2024-06-03654Dallas Storm-Detroit Red Wings-
61 - 2024-06-05668Detroit Red Wings-Washington Budweiser-
62 - 2024-06-06686Quebec Nordiques-Detroit Red Wings-
64 - 2024-06-08704Detroit Red Wings-Los Angeles Kings-
65 - 2024-06-09718Washington Budweiser-Detroit Red Wings-
66 - 2024-06-10732Detroit Red Wings-New York Rangers-
68 - 2024-06-12746Detroit Red Wings-Montreal Canadiens-
69 - 2024-06-13759Chicago Blackhawks-Detroit Red Wings-
71 - 2024-06-15780Toronto Maple Leafs-Detroit Red Wings-
72 - 2024-06-16796Detroit Red Wings-Regina Pats-
74 - 2024-06-18810London Spartiates-Detroit Red Wings-
76 - 2024-06-20830Detroit Red Wings-Hamilton Tigers-
77 - 2024-06-21839Detroit Red Wings-St-Louis Blues-
78 - 2024-06-22851Seattle Kraken-Detroit Red Wings-
79 - 2024-06-23868Detroit Red Wings-Winnipeg Jets-
81 - 2024-06-25881Detroit Red Wings-Vancouver Knights-
82 - 2024-06-26892San Jose Rhinos-Detroit Red Wings-
83 - 2024-06-27906Detroit Red Wings-Chicago Blackhawks-
85 - 2024-06-29920Los Angeles Kings-Detroit Red Wings-
87 - 2024-07-01941Nunavut Mystery-Detroit Red Wings-
88 - 2024-07-02952Detroit Red Wings-London Spartiates-
89 - 2024-07-03969Detroit Red Wings-Cleveland Bulldogs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04982Vancouver Knights-Detroit Red Wings-
91 - 2024-07-05997Detroit Red Wings-Chicago Blackhawks-
93 - 2024-07-071012Colorado Zipper-Detroit Red Wings-
95 - 2024-07-091030Detroit Red Wings-Edmonton Oilers-
96 - 2024-07-101042Cleveland Bulldogs-Detroit Red Wings-
97 - 2024-07-111053Detroit Red Wings-San Jose Rhinos-
98 - 2024-07-121068Detroit Red Wings-Moncton Wildcats-
99 - 2024-07-131083Edmonton Oilers-Detroit Red Wings-
101 - 2024-07-151104Anaheim Icehawks-Detroit Red Wings-
105 - 2024-07-191131Miami Heat-Detroit Red Wings-
108 - 2024-07-221153Miami Heat-Detroit Red Wings-
109 - 2024-07-231161Detroit Red Wings-Calgary Red Bull-
110 - 2024-07-241172Detroit Red Wings-St-Johns Desperados-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna70006000300050002000
Prix des Billets130905030210
Assistance52,30142,06424,26450,20215,562
Attendance PCT67.92%63.73%73.53%91.28%70.74%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
27 16763 - 72.88% 1,807,873$19,886,604$23000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
15,638,832$ 53,250,000$ 53,250,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
53,250,000$ 14,299,542$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
48,812,573$ 82 520,089$ 42,647,298$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
44,656,230$ 53,250,000$ 109,177,226$ 116,342,147$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Nicklas BackstromAGE:35PO:0OV:69
Philip TomasinoAGE:22PO:0OV:67
Alex ChiassonAGE:32PO:0OV:64
*Pavel DorofeyevAGE:22PO:0OV:64
*Fabian ZetterlundAGE:24PO:0OV:63
*Liam FoudyAGE:23PO:0OV:61
Zach SanfordAGE:28PO:0OV:59
*Michael CarconeAGE:27PO:0OV:57
*Joona KoppanenAGE:25PO:0OV:57
*Isaac RatcliffeAGE:24PO:0OV:54
T.J. TynanAGE:31PO:0OV:52
Martin NecasAGE:24PO:0OV:78
Jack McBainAGE:23PO:0OV:70
Ryan McLeodAGE:24PO:0OV:68
Kent JohnsonAGE:20PO:0OV:68
Jesper BoqvistAGE:24PO:0OV:63
*Alex SteevesAGE:23PO:0OV:53
*Drake RymshaAGE:25PO:0OV:53
*Oskar SteenAGE:25PO:0OV:53
Dominik KubalikAGE:28PO:0OV:69
Taylor RaddyshAGE:25PO:0OV:68
Arthur KaliyevAGE:22PO:0OV:66
Kiefer SherwoodAGE:28PO:0OV:65
Emil BemstromAGE:24PO:0OV:62
*Joe SnivelyAGE:27PO:0OV:57
Bryan LittleAGE:36PO:0OV:54
*Jonathan DavidssonAGE:26PO:0OV:53
*Ben McCartneyAGE:22PO:0OV:52
*Jacob PerreaultAGE:21PO:0OV:52

Défense #1Défense #2Gardien
Dougie HamiltonAGE:30PO:0OV:83
Andrew PeekeAGE:25PO:0OV:74
John MarinoAGE:26PO:0OV:72
Joel EdmundsonAGE:30PO:0OV:72
Zach WerenskiAGE:26PO:0OV:71
Ethan BearAGE:26PO:0OV:69
Erik BrannstromAGE:24PO:0OV:68
*Nils LundkvistAGE:23PO:0OV:63
*Kaedan KorczakAGE:22PO:0OV:62
Nikolai KnyzhovAGE:25PO:0OV:61
*Akito HiroseAGE:24PO:0OV:61
*Kale ClagueAGE:25PO:0OV:60
Dylan CoghlanAGE:25PO:0OV:59
*Lucas CarlssonAGE:26PO:0OV:56
*Otto LeskinenAGE:26PO:0OV:56
*Linus HogbergAGE:25PO:0OV:56
Ilya SamsonovAGE:26PO:0OV:78
Pheonix CopleyAGE:31PO:0OV:75
Artyom ZagidulinAGE:28PO:0OV:58

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 TambelliniDetroit Red Wings2848
Alexei LipanovDetroit Red Wings3653
Arvid HolmDetroit Red Wings3689
Beck WarmDetroit Red Wings42107
Ben BloodDetroit Red Wings
Benjamin GaudreauDetroit Red Wings4333
Bobby NardellaDetroit Red Wings43123
Brad GardinerDetroit Red Wings4759
Brady ClevelandDetroit Red Wings4746
Carson FochtDetroit Red Wings3943
Carter BergerDetroit Red Wings4085
Cliff PuDetroit Red Wings3418
Daniel KurovskyDetroit Red Wings
David BernhardtDetroit Red Wings3466
Demetrios KoumontzisDetroit Red Wings3795
Eero EloDetroit Red Wings
Filip BerglundDetroit Red Wings3437
Gavin WhiteDetroit Red Wings4574
Jake FurlongDetroit Red Wings4681
Jakub BrabenecDetroit Red Wings4452
James MalatestaDetroit Red Wings4355
Jeremie PoirierDetroit Red Wings4218
Joel LowryDetroit Red Wings
Jordan Samuels-ThomasDetroit Red Wings
Justin RobidasDetroit Red Wings4360
Kent PattersonDetroit Red Wings
Kiril KoltsovDetroit Red Wings
Kirill KabanovDetroit Red Wings
Liam Dower NilssonDetroit Red Wings4447
Liam OhgrenDetroit Red Wings4512
Marcus KallionkieliDetroit Red Wings39103
Mats LindgrenDetroit Red Wings4650
Matthew SeminoffDetroit Red Wings4543
Maxim BarbashevDetroit Red Wings45101
Mike KosterDetroit Red Wings4278
Mikhail BerdinDetroit Red Wings3491
Miko MatikkaDetroit Red Wings4552
Nando EggenbergerDetroit Red Wings37104
Nathan MoonDetroit Red Wings
Nicolas GuayDetroit Red Wings35113
Oskari LaaksonenDetroit Red Wings3550
Peter DiliberatoreDetroit Red Wings37105
Philippe DesrosiersDetroit Red Wings2847
Reid SchaeferDetroit Red Wings4619
Roman TomanekDetroit Red Wings
Ryan HealeyDetroit Red Wings4570
Ryan HoferDetroit Red Wings4556
Ryder KorczakDetroit Red Wings4328
Samu SalminenDetroit Red Wings4436
Samu TuomaalaDetroit Red Wings4422
Sergei BoikovDetroit Red Wings32101
Theodor NiederbachDetroit Red Wings4118
Trevor JanickeDetroit Red Wings4052
Tristan LennoxDetroit Red Wings4340
Ty VoitDetroit Red Wings4336
Tyler BiggsDetroit Red Wings2318
Viktor NeuchevDetroit Red Wings4662
Vilmer AlrikssonDetroit Red Wings4777
Vladimir GrudininDetroit Red Wings4668
Vladislav FirstovDetroit Red Wings4034
Vsevolod KomarovDetroit Red Wings4659
William StromgrenDetroit Red Wings4327

Choix au Repêchage

Année R1R2R3R4
48DET DET DET CHI
49DET LON DET
50DET DET ATL DET DET
51DET DET LON DET DET
52DET DET LON DET DET



[2024-04-08 08:56:04] - TRADE : From Detroit Red Wings to London Spartiates : Joel Armia (66).
[2024-04-08 08:56:04] - TRADE : From London Spartiates to Detroit Red Wings : Y:52-RND:2-LON.
[2024-04-06 10:11:05] - General Manager Change : Detroit Red Wings hired general manager Dominic Dion
[2024-04-06 10:11:05] - General Manager Change : Detroit Red Wings fired general manager Yves Jobidon
[2024-03-23 15:03:13] - Detroit Red Wings drafts Vilmer Alriksson as the #77 overall pick in the Entry Draft of year 47.
[2024-03-23 14:31:13] - Detroit Red Wings drafts Brad Gardiner as the #59 overall pick in the Entry Draft of year 47.
[2024-03-23 14:18:01] - Detroit Red Wings drafts Brady Cleveland as the #46 overall pick in the Entry Draft of year 47.
[2024-03-02 12:24:00] - Chris Wagner was released.
[2024-03-02 12:24:00] - Detroit Red Wings paid $0 to release Chris Wagner.
[2024-02-10 20:57:15] - Scorpions was eliminated at round 1 of year 46.
[2024-02-03 09:51:12] - Detroit Red Wings didn't make playoff for year 46.



[2024-05-09 10:56:44] Last 30 Days Farm Star : 1 - Tyson Foerster of Outlaws (21-20-41) / 2 - Darren Raddysh of Vipers (25-12-37) / 3 - Emil Bemstrom of Scorpions (20-18-38)
[2024-05-09 10:56:42] Martin Necas from Detroit Red Wings is injured from Exhaustion.
[2024-05-09 10:56:42] Dougie Hamilton from Detroit Red Wings is injured from Exhaustion.
[2024-05-09 10:56:39] Artyom Zagidulin from Scorpions injured (Exhaustion)
[2024-05-09 10:56:39] Nils Lundkvist from Scorpions is injured from Exhaustion.
[2024-05-09 10:56:28] Auto Lines Function has been run for Detroit Red Wings.



Artyom Zagidulin est dehors pour 0 jours à cause de Exhaustion.
Nils Lundkvist est dehors pour 0 jours à cause de Exhaustion.
Dougie Hamilton est dehors pour 0 jours à cause de Exhaustion.
Martin Necas est dehors pour 0 jours à cause de Exhaustion.



LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
45823330083442932821141161306222151142941171702122142140297293456749206110911119252871291586373263686172416522515321.12%2995481.94%16913185249.30%939189449.58%673127452.83%163286018077891536761
468238290532526325112412114011221371181941171504203126133-798263421684125110010517259375994185965265089759715912706524.07%2815082.21%9888185347.92%981208147.14%592120749.05%164888417937861530759
4722990201168662115302001362881146000103238-6256811218020162326370124023921414652230163450641218.75%751086.67%124249548.89%25053646.64%15530950.16%449246483208400199
Total Saison Régulière1868068015671062459925934230093453242883693383806335300311-11220624989161352128232242395822171120951936152593819881484369358513022.22%65511482.60%262043420048.64%2170451148.10%1420279050.90%373119904084178434661720
Séries
45514000001220-830300000712-52110000058-32122234001731136365841115339418617211.76%18477.78%04711241.96%6011452.63%368542.35%9652113489044
Total Séries514000001220-830300000712-52110000058-32122234001731136365841115339418617211.76%18477.78%04711241.96%6011452.63%368542.35%9652113489044