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Red Wings
GP: 13 | W: 6 | L: 7
GF: 40 | GA: 45 | PP%: 21.15% | PK%: 78.87%
DG: Martin Dufour | Morale : 43 | Moyenne d’équipe : 67
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Centre de jeu
Red Wings
6-7-0, 12pts
4
FINAL
2 Senateurs
15-10-0, 30pts
Team Stats
L1StreakL2
1-5-0Home Record4-7-0
5-2-0Away Record11-3-0
5-5-0Last 10 Games6-4-0
3.08Buts par match 3.12
3.46Buts contre par match 2.96
21.15%Pourcentage en avantage numérique30.12%
78.87%Pourcentage en désavantage numérique76.83%
Senateurs
15-10-0, 30pts
6
FINAL
3 Red Wings
6-7-0, 12pts
Team Stats
L2StreakL1
4-7-0Home Record1-5-0
11-3-0Away Record5-2-0
6-4-0Last 10 Games5-5-0
3.12Buts par match 3.08
2.96Buts contre par match 3.46
30.12%Pourcentage en avantage numérique21.15%
76.83%Pourcentage en désavantage numérique78.87%
Meneurs d'équipe
Buts
Dominik Kubalik
11
Passes
Brady Tkachuk
9
Points
Dominik Kubalik
14
Plus/Moins
Urho Vaakanainen
6
Victoires
Josef Korenar
5
Pourcentage d’arrêts
Josef Korenar
0.893

Statistiques d’équipe
Buts pour
40
3.08 GFG
Tirs pour
403
31.00 Avg
Pourcentage en avantage numérique
21.2%
11 GF
Début de zone offensive
40.0%
Buts contre
45
3.46 GAA
Tirs contre
397
30.54 Avg
Pourcentage en désavantage numérique
78.9%%
15 GA
Début de la zone défensive
38.4%
Informations de l'équipe

Directeur généralMartin Dufour
EntraîneurCraig MacTavish
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,740
Billets de saison2,400


Informations de la formation

Équipe Pro38
Équipe Mineure18
Limite contact 56 / 60
Espoirs45


Historique d'équipe

Saison actuelle6-7
Historique42-31-7 (0.525%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)6-7
Coupe Stanley0


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 SPÂgeContratSalaire
1Nick Suzuki (R)X100.007643867782789487809079748167707574760231863,333$
2Brady Tkachuk (R)X100.0081996683827894826084837325656875797502333,000,000$
3Kyle Clifford (R)X100.0077458271836588806474738765999339787403221,750,000$
4Dominik Kubalik (R)X100.007543898082709274257887702577767379730271925,000$
5Oskar Lindblom (R)X100.0063309568737780835279817072757151777202621,250,000$
6Pius Suter (R)X100.007641917682738376817772682573767061710272925,000$
7Teddy Blueger (R)X100.0075438870836883658377698125787470777002821,000,000$
8Tomas Nosek (R)X100.007545917483637971867470772582766777700301600,000$
9Ilya Mikheyev (R)X100.007743967782677672257572782578746776700281925,000$
10Scott Wilson (R)X100.005542906772727468536963706282754877660313600,000$
11Eetu Luostarinen (R)X100.007744916783647864777368672568666537660241897,500$
12Logan O'Connor (R)X100.007943917284576265447269712575737070660261725,000$
13Steven Santini (R)X100.0095557065766692823079759053787264757502811,000,000$
14Will Butcher (R)X100.0065397466727591963094806561676248617202821,500,000$
15Madison Bowey (R)X100.0077739866808178733077677351757049777002821,000,000$
16Urho Vaakanainen (R)X100.007241926883766260257368762566675854680243700,000$
17Dylan Coghlan (R)X100.007343977584626869257270672570685978680252762,500$
18Jamie Drysdale (R)X100.007241917482787065257369622565696147670212925,000$
Rayé
1Logan Brown (R)X100.007285807081738262797267715168675979670252700,000$
2Wade Allison (R)X100.007745907483635371257472662568667320660252925,000$
3Ryan Poehling (R)X100.008073977473686966806561716264676819650243575,000$
4Par Lindholm (R)X100.005329996871818357865655876184732820650313575,000$
5John Hayden (R)X100.007847656883556163677368646272696220640281575,000$
6Connor Bunnaman (R)X100.007545966884596655767368682567666219640251736,666$
7Joseph Gambardella (R)X100.006135736472645771657363725169573820630292575,000$
8Gabriel Fortier (R)X100.007362976662677154683737615544446020530233791,667$
9Scott Reedy (R)X100.008076896476535356703838655744446119530243842,500$
10Juuso Valimaki (R)X100.007343857382675672257470732569717924680243800,000$
11Tyler Wotherspoon (R)X100.004916996077556777256649825485805519660301575,000$
12Sami Niku (R)X100.007141766881664865247368682572694819650263575,000$
13Guillaume Brisebois (R)X100.007067926180545658257166723969665220630253575,000$
14Cam York (R)X100.007363856984504860257268645362645920630222880,833$
15Kaedan Korczak (R)X100.007674795974555846253131613744445020540223789,167$
16Lassi Thomson (R)X100.007570885870596251253333613844445320540223863,333$
MOYENNE D’ÉQUIPE100.00735187697966726850706671427067594867
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 SPÂgeContratSalaire
1Kevin Lankinen (R)100.00848783858792948391768076807278840282800,000$
2Josef Korenar (R)100.00757671757382837776737269735777740252750,000$
Rayé
1Joel Hofer (R)100.00526176664966556163613044445520580223795,000$
2Justus Annunen (R)100.00504860825055566050503044445119540233880,833$
MOYENNE D’ÉQUIPE100.0065687377657472707065535860594968
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig MacTavish72617188988176CAN6231,500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Dominik KubalikRed Wings (DET)RW1311314-2135312038132428.95%325219.415168450003252146.43%2884111.1100100203
2Brady TkachukRed Wings (DET)LW133912-325537284124357.32%928121.660448430000571036.36%99103000.8500100020
3Kyle CliffordRed Wings (DET)LW135611-1200412342112811.90%827020.821343360000511026.32%1936000.8100000001
4Oskar LindblomRed Wings (DET)RW135510020141946102010.87%624418.772246360002210028.57%1481000.8200000002
5Teddy BluegerRed Wings (DET)C13178-11602631174155.88%1021116.30011032000080058.33%20435000.7600000000
6Pius SuterRed Wings (DET)C1307701610242723590.00%420115.47022638000000061.43%22300000.7000101000
7Will ButcherRed Wings (DET)D13156-83551727241354.17%931724.46134449000058000.00%037000.3800010000
8Urho VaakanainenRed Wings (DET)D1305564014169530.00%1021516.600000600009000.00%004000.4600000000
9Juuso ValimakiRed Wings (DET)D413428067131100.00%98120.490110700008000.00%000000.9800000100
10Eetu LuostarinenRed Wings (DET)C13404020154160825.00%2997.6500000000001143.24%3710000.8000000100
11Ilya MikheyevRed Wings (DET)RW132241001814274207.41%415111.630000200000000.00%272000.5300000100
12Dylan CoghlanRed Wings (DET)D132243002027157413.33%1227220.96101130000036000.00%018000.2900000000
13Tomas NosekRed Wings (DET)LW131232202213247224.17%317813.76000240000200072.00%2533000.3400000010
14Scott WilsonRed Wings (DET)LW13213000461521013.33%21027.910000000002100.00%234000.5800000010
15Nick SuzukiRed Wings (DET)C3213-200961631212.50%06722.48112370000150152.48%10110000.8900000110
16Madison BoweyRed Wings (DET)D13022328102022101250.00%1329823.00000236000054000.00%038000.1300101000
17Steven SantiniRed Wings (DET)D9022-95420211599100.00%920723.01011235000041000.00%044000.1900301000
18Logan O'ConnorRed Wings (DET)RW13022120138146100.00%2937.160000000000000.00%131000.4300000000
19Jamie DrysdaleRed Wings (DET)D1302202081311270.00%1121416.5301100000023000.00%045000.1900000000
20Logan BrownRed Wings (DET)C1001128017135220.00%214114.13000000000260056.52%9214000.1400000000
Statistiques d’équipe totales ou en moyenne2344067107-6237553773394031422509.93%128390416.691120314541300054606353.48%8476669110.5500713656
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
1Josef KorenarRed Wings (DET)95300.8933.054920025234102100.00%076010
2Kevin LankinenRed Wings (DET)71310.8773.86311002016365000.00%067000
Statistiques d’équipe totales ou en moyenne166610.8873.3680300453971671001313010


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Brady TkachukRed Wings (DET)LW231999-09-16 14:34:31Yes196 Lbs6 ft3NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Cam YorkRed Wings (DET)D222001-01-05 13:24:35Yes174 Lbs5 ft11NoNoNo2Pro & Farm880,833$0$0$No880,833$
Connor BunnamanRed Wings (DET)C251998-04-16 13:28:38Yes207 Lbs6 ft1NoNoNo1Pro & Farm736,666$0$0$No
Dominik KubalikRed Wings (DET)RW271995-08-21 06:40:03Yes179 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Dylan CoghlanRed Wings (DET)D251998-02-19 03:19:24Yes190 Lbs6 ft2NoNoNo2Pro & Farm762,500$0$0$No762,500$
Eetu LuostarinenRed Wings (DET)C241998-09-02 13:31:44Yes190 Lbs6 ft3NoNoNo1Pro & Farm897,500$0$0$No
Gabriel FortierRed Wings (DET)LW232000-02-06 04:05:24Yes183 Lbs5 ft10NoNoNo3Pro & Farm791,667$0$0$No791,667$791,667$
Guillaume BriseboisRed Wings (DET)D251997-07-21 14:26:41Yes174 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Ilya MikheyevRed Wings (DET)RW281994-10-10 05:54:37Yes194 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Jamie DrysdaleRed Wings (DET)D212002-04-08 13:27:26Yes174 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
Joel HoferRed Wings (DET)G222000-07-30 04:07:52Yes172 Lbs6 ft5NoNoNo3Pro & Farm795,000$0$0$No795,000$795,000$
John HaydenRed Wings (DET)RW281995-02-14 11:00:55Yes215 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
Josef KorenarRed Wings (DET)G251998-01-31 13:55:25Yes185 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
Joseph GambardellaRed Wings (DET)C291993-12-01 08:29:15Yes196 Lbs5 ft10NoNoNo2Pro & Farm575,000$0$0$No575,000$
Justus AnnunenRed Wings (DET)G232000-03-11 04:12:58Yes209 Lbs6 ft4NoNoNo3Pro & Farm880,833$0$0$No880,833$880,833$
Juuso ValimakiRed Wings (DET)D241998-10-06 05:14:16Yes212 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Kaedan KorczakRed Wings (DET)D222001-01-29 04:16:55Yes192 Lbs6 ft4NoNoNo3Pro & Farm789,167$0$0$No789,167$789,167$
Kevin LankinenRed Wings (DET)G281995-04-28 03:45:22Yes185 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$
Kyle CliffordRed Wings (DET)LW321991-01-13 11:11:13Yes211 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$0$0$No1,750,000$
Lassi ThomsonRed Wings (DET)D222000-09-24 04:20:00Yes192 Lbs6 ft0NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Logan BrownRed Wings (DET)C251998-03-05 09:29:54Yes220 Lbs6 ft6NoNoNo2Pro & Farm700,000$0$0$No700,000$
Logan O'ConnorRed Wings (DET)RW261996-08-14 12:23:27Yes174 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$No
Madison BoweyRed Wings (DET)D281995-04-22 09:27:31Yes198 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Nick SuzukiRed Wings (DET)C231999-08-10 13:42:46Yes207 Lbs5 ft11NoNoNo1Pro & Farm863,333$0$0$No
Oskar LindblomRed Wings (DET)RW261996-08-15 11:12:26Yes191 Lbs6 ft1NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Par LindholmRed Wings (DET)LW311991-10-05 04:11:59Yes183 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Pius SuterRed Wings (DET)C271996-05-24 03:52:07Yes176 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
Ryan PoehlingRed Wings (DET)C241999-01-03 14:22:24Yes183 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Sami NikuRed Wings (DET)D261996-10-10 05:12:25Yes176 Lbs6 ft1NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Scott ReedyRed Wings (DET)C241999-04-04 04:23:08Yes214 Lbs6 ft2NoNoNo3Pro & Farm842,500$0$0$No842,500$842,500$
Scott WilsonRed Wings (DET)LW311992-04-24 05:11:13Yes185 Lbs5 ft11NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Steven SantiniRed Wings (DET)D281995-03-07 09:26:46Yes205 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$No
Teddy BluegerRed Wings (DET)C281994-08-15 14:16:07Yes185 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Tomas NosekRed Wings (DET)LW301992-09-01 11:05:59Yes210 Lbs6 ft3NoNoNo1Pro & Farm600,000$0$0$No
Tyler WotherspoonRed Wings (DET)D301993-03-12 11:11:13Yes217 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Urho VaakanainenRed Wings (DET)D241999-01-01 14:29:18Yes185 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Wade AllisonRed Wings (DET)RW251997-10-14 13:21:46Yes205 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
Will ButcherRed Wings (DET)D281995-01-06 11:14:31Yes190 Lbs5 ft10NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3825.84193 Lbs6 ft12.11892,851$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady TkachukNick SuzukiDominik Kubalik35122
2Kyle CliffordPius SuterOskar Lindblom35122
3Tomas NosekTeddy BluegerIlya Mikheyev25122
4Scott WilsonEetu LuostarinenLogan O'Connor5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniWill Butcher35122
2Madison BoweyDylan Coghlan35122
3Urho VaakanainenJamie Drysdale30122
4Steven SantiniWill Butcher0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady TkachukNick SuzukiDominik Kubalik60122
2Kyle CliffordPius SuterOskar Lindblom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniWill Butcher60122
2Madison BoweyDylan Coghlan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick SuzukiBrady Tkachuk60122
2Kyle CliffordDominik Kubalik40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniWill Butcher60122
2Madison BoweyDylan Coghlan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nick Suzuki60122Steven SantiniWill Butcher60122
2Brady Tkachuk40122Madison BoweyDylan Coghlan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick SuzukiBrady Tkachuk60122
2Kyle CliffordDominik Kubalik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniWill Butcher60122
2Madison BoweyDylan Coghlan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brady TkachukNick SuzukiDominik KubalikSteven SantiniWill Butcher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brady TkachukNick SuzukiDominik KubalikSteven SantiniWill Butcher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Teddy Blueger, Ilya Mikheyev, Tomas NosekTeddy Blueger, Ilya MikheyevTomas Nosek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Urho Vaakanainen, Jamie Drysdale, Madison BoweyUrho VaakanainenJamie Drysdale, Madison Bowey
Tirs de pénalité
Nick Suzuki, Brady Tkachuk, Kyle Clifford, Dominik Kubalik, Oskar Lindblom
Gardien
#1 : Kevin Lankinen, #2 : Josef Korenar
Lignes d’attaque personnalisées en prolongation
Nick Suzuki, Brady Tkachuk, Kyle Clifford, Dominik Kubalik, Oskar Lindblom, Pius Suter, Pius Suter, Teddy Blueger, Ilya Mikheyev, Tomas Nosek, Eetu Luostarinen
Lignes de défense personnalisées en prolongation
Steven Santini, Will Butcher, Madison Bowey, Dylan Coghlan, Urho Vaakanainen


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
TotalDomicileVisiteur
# 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
1Bruins743000002526-131200000812-4431000001714380.57125426700111512223310215912517200688920534617.65%42685.71%019633957.82%16132549.54%9618352.46%285157286127233115
2Senateurs624000001519-430300000511-632100000108240.333152540001115122170102159125171976014817218527.78%29968.97%019633957.82%16132549.54%9618352.46%285157286127233115
Total1367000004045-5615000001323-107520000027225120.462406710700111512240310215912517397128237377521121.15%711578.87%019633957.82%16132549.54%9618352.46%285157286127233115
_Since Last GM Reset1367000004045-5615000001323-107520000027225120.462406710700111512240310215912517397128237377521121.15%711578.87%019633957.82%16132549.54%9618352.46%285157286127233115
_Vs Conference1367000004045-5615000001323-107520000027225120.462406710700111512240310215912517397128237377521121.15%711578.87%019633957.82%16132549.54%9618352.46%285157286127233115
_Vs Division1367000004045-5615000001323-107520000027225120.462406710700111512240310215912517397128237377521121.15%711578.87%019633957.82%16132549.54%9618352.46%285157286127233115

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1312L1406710740339712823737700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
136700004045
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
61500001323
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
75200002722
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
521121.15%711578.87%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
102159125171115122
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
19633957.82%16132549.54%9618352.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
285157286127233115


Derniers matchs 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 - 2022-10-181Red Wings6Bruins4AWSommaire du match
3 - 2022-10-209Red Wings3Bruins4ALXSommaire du match
5 - 2022-10-2217Bruins3Red Wings1BLSommaire du match
7 - 2022-10-2425Bruins5Red Wings1BLSommaire du match
9 - 2022-10-2633Red Wings4Bruins3AWXSommaire du match
11 - 2022-10-2841Bruins4Red Wings6BWSommaire du match
13 - 2022-10-3049Red Wings4Bruins3AWXSommaire du match
15 - 2022-11-0157Red Wings4Senateurs2AWSommaire du match
17 - 2022-11-0361Red Wings2Senateurs4ALSommaire du match
19 - 2022-11-0565Senateurs3Red Wings1BLSommaire du match
21 - 2022-11-0769Senateurs2Red Wings1BLSommaire du match
23 - 2022-11-0973Red Wings4Senateurs2AWSommaire du match
25 - 2022-11-1177Senateurs6Red Wings3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance10,4416,000
Assistance PCT87.01%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2740 - 91.34% 139,465$836,791$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,392,833$ 2,002,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Red Wings Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Red Wings Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Red Wings Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Total Saison régulière8233310683126824820411717041201481252341161402711120123-393268453721327391959256379784689438251187871022232795620.07%2544383.07%11044200352.12%958189850.47%635120952.52%1795103017137461454732
Séries éliminatoires
Total Séries éliminatoires1367000004045-5615000001323-10752000002722512406710700111512240310215912517397128237377521121.15%711578.87%019633957.82%16132549.54%9618352.46%285157286127233115

Red Wings Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Red Wings Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA