Connexion

Ducks
GP: 82 | W: 39 | L: 29 | OTL: 14 | P: 92
GF: 251 | GA: 255 | PP%: 16.60% | PK%: 82.67%
DG: Sébastien Charbonneau | Morale : 40 | Moyenne d’équipe : 68
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Centre de jeu
Stars
46-27-9, 101pts
2
FINAL
3 Ducks
39-29-14, 92pts
Team Stats
L2StreakL1
30-7-4Home Record21-15-5
16-20-5Away Record18-14-9
3-6-1Last 10 Games4-4-2
3.10Buts par match 3.06
3.07Buts contre par match 3.11
13.22%Pourcentage en avantage numérique16.60%
81.55%Pourcentage en désavantage numérique82.67%
Ducks
39-29-14, 92pts
2
FINAL
3 Wild
43-28-11, 97pts
Team Stats
L1StreakW6
21-15-5Home Record21-11-9
18-14-9Away Record22-17-2
4-4-2Last 10 Games7-3-0
3.06Buts par match 3.06
3.11Buts contre par match 3.17
16.60%Pourcentage en avantage numérique18.04%
82.67%Pourcentage en désavantage numérique84.13%
Meneurs d'équipe
Buts
Jakub Vrana
41
Passes
Jakub Vrana
49
Points
Jakub Vrana
90
Plus/Moins
Niko Mikkola
15
Victoires
Collin Delia
25
Pourcentage d’arrêts
Collin Delia
0.917

Statistiques d’équipe
Buts pour
251
3.06 GFG
Tirs pour
2735
33.35 Avg
Pourcentage en avantage numérique
16.6%
41 GF
Début de zone offensive
40.1%
Buts contre
255
3.11 GAA
Tirs contre
2615
31.89 Avg
Pourcentage en désavantage numérique
82.7%
39 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralSébastien Charbonneau
EntraîneurGlen Gulutzan
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,839
Billets de saison1,800


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 60
Espoirs40


Historique d'équipe

Saison actuelle39-29-14 (92PTS)
Historique163-121-32 (0.516%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)14-6
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
1Jakub Vrana (R)X99.0054399079737589885186857678727382697602621,000,000$
2Matt Nieto (R)X99.0057398972728289796473749063816764697302921,000,000$
3Carter Verhaeghe (R)X100.006339877476898475677376647772736261700262700,000$
4Travis Boyd (R)X99.005434926471716871707567756478725167670281800,000$
5Daniel Carr (R)X99.006737896673767768646865686581735562660301575,000$
6Tyler Graovac (R)X100.006539896391837764786269686876684160660291575,000$
7Emil Bemstrom (R)X99.006735926971747570526867726863676265660222925,000$
8Kristian Vesalainen (R)X100.005735926686818469586762606864678062650221925,000$
9Alexander True (R)X100.007639876690818563766561626668705352650242763,333$
10Justin Bailey (R)X100.006140946384758066586361696272677053640261575,000$
11Buddy Robinson (R)X100.008076846199737661566064646379693559640301750,000$
12Scott Sabourin (R)X100.007682696185737960546261556177693621620291575,000$
13Filip Hronek (R)X99.008145757469898381308576785368667065730241714,166$
14Keaton Ellerby (R)X99.0099615760816574774965558857939245577303311,250,000$
15Anthony DeAngelo (R)X100.007358607472858284309279676173727853730262700,000$
16Marcus Pettersson (R)X100.0086616865748390713081577951716872627102531,250,000$
17Mario Ferraro (R)X100.008839867173888969307359765166647165710232925,000$
18Niko Mikkola (R)X100.008139876683818964306359755270725564700262842,500$
Rayé
1Jeremy WilliamsX90.2161996274595793308198888399994932740381800,000$
2Nikita Soshnikov (R)X100.005341787172746768616359746171674320640281575,000$
3Antti Suomela (R)X100.007935956470767966746562636573673818640281700,000$
4Kalle Kossila (R)X100.005441756771579468646761675073593520630292575,000$
5A.J. Greer (R)X100.007266676485717363586268656369657220630252575,000$
6Liam O'Brien (R)X100.008263546280707460636460616173673720620273750,000$
7Nicolas Beaudin (R)X100.006535947269868471307063665463668219670222894,167$
8Lucas Carlsson (R)X100.005236966373807969306661755268706320660242792,500$
9Cody Goloubef (R)X100.006739835674776461305855784683755920650322575,000$
10Andrew Peeke (R)X100.008335936583777563306859645265637720650242916,667$
11Jake Bean (R)X100.005635937175858466307257595265638420640231863,333$
MOYENNE D’ÉQUIPE99.41674483677877797050706671617370594567
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
1Pheonix Copley (R)100.008775878486929493928652807135638403011,100,000$
2Collin Delia (R)100.008376948086919392918251827437758302711,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0085769182869294939284528173366984
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan67756557807463CAN501600,000$


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
1Jakub VranaDucks (ANA)LW82414990-14161011716436811020311.14%40173121.11815234223000062166142.01%4887141101.04311101664
2Matt NietoDucks (ANA)RW82344175523512612331010621210.97%49159319.44481229182202121143348.91%1375531010.94510001476
3Anthony DeAngeloDucks (ANA)D82124860-71061018515722878945.26%91187122.826814362400226165200.00%06453000.6400011320
4Carter VerhaegheDucks (ANA)C71144155-2175119139121347111.57%27138519.5121416242061124790245.55%17212024000.7937100227
5Travis BoydDucks (ANA)C82203353-1001071861766413011.36%29150218.33246121821016433247.75%15563023000.7116000412
6Jeremy WilliamsDucks (ANA)RW67282048-300291042496814411.24%36136820.42105154019100011745332.48%1174427010.7038000313
7Filip HronekDucks (ANA)D82102838-9711517917315564906.45%119195623.866612172550001204010.00%04363000.3901111130
8Emil BemstromDucks (ANA)LW82181432920112102153398511.76%28143717.5421311177000015041.51%1062716000.4500000021
9Daniel CarrDucks (ANA)RW82171128-711510094190731298.95%28114013.91112541000075149.23%653116000.4901010143
10Mario FerraroDucks (ANA)D825232884001691147833326.41%92160419.560333111011195100.00%01757100.3500000041
11Kristian VesalainenDucks (ANA)LW821610266403665149487610.74%1095011.59000021014612040.63%321918000.5502000220
12Tyler Graovac Ducks (ANA)C82718251759313410932816.42%15108113.18000227000020050.18%8232216000.4614010021
13Marcus PetterssonDucks (ANA)D8222022-498101951028728432.30%81155518.970222101000085000.00%01649000.2800110020
14Justin Bailey Ducks (ANA)LW8271118-6121032519535617.37%267368.98000000111271152.63%191111000.4900110001
15Keaton EllerbyDucks (ANA)D5501616-38715146774518310.00%58114520.830332119011199000.00%01141000.2800210001
16Alexander TrueDucks (ANA)C82681414059687526528.00%36998.53000000000400049.12%285129000.4000000000
17Niko MikkolaDucks (ANA)D821111215240116994628202.17%74134216.3700002000077000.00%01250100.1800000001
18Buddy RobinsonDucks (ANA)RW8275121155944665153810.77%136718.1900002000002038.89%181113100.3600010031
19Nicolas BeaudinDucks (ANA)D27055-1001733274120.00%1945416.8200000000038000.00%0810000.2200000000
20Antti SuomelaDucks (ANA)C1111200061072814.29%2787.1400000000000045.71%3512000.5100000000
21Scott SabourinDucks (ANA)RW1510112014621250.00%11067.1300000000000066.67%300000.1900000000
Statistiques d’équipe totales ou en moyenne1476247413660-105399520512047273590616149.03%8412441316.54417011122520775611431534351446.51%5405525570420.541650784264132
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
1Collin DeliaDucks (ANA)54251880.9172.653100421371654686210.6502050321023
2Pheonix CopleyDucks (ANA)34141160.8853.50188400110960378100.571283250200
Statistiques d’équipe totales ou en moyenne883929140.9062.9749854224726141064310.6044882821223


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
A.J. GreerDucks (ANA)LW251996-12-14 05:26:22Yes205 Lbs6 ft3NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Alexander TrueDucks (ANA)C241997-07-17 04:07:46Yes201 Lbs6 ft5NoNoNo2Pro & Farm763,333$3,997$0$0$No763,333$
Andrew PeekeDucks (ANA)D241998-03-17 04:34:05Yes194 Lbs6 ft3NoNoNo2Pro & Farm916,667$4,799$0$0$No916,667$
Anthony DeAngeloDucks (ANA)D261995-10-24 05:28:36Yes180 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Antti SuomelaDucks (ANA)C281994-03-17 04:05:06Yes179 Lbs6 ft0NoNoNo1Pro & Farm700,000$3,665$0$0$No
Buddy RobinsonDucks (ANA)RW301991-09-30 14:12:29Yes231 Lbs6 ft6NoNoNo1Pro & Farm750,000$3,927$0$0$No
Carter VerhaegheDucks (ANA)C261995-08-14 04:31:11Yes182 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Cody GoloubefDucks (ANA)D321989-11-30 11:11:13Yes200 Lbs6 ft1NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Collin DeliaDucks (ANA)G271994-06-20 07:49:44Yes208 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$5,236$0$0$No
Daniel CarrDucks (ANA)RW301991-10-31 07:15:35Yes194 Lbs6 ft0NoNoNo1Pro & Farm575,000$3,010$0$0$No
Emil BemstromDucks (ANA)LW221999-06-01 03:32:38Yes181 Lbs5 ft10NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Filip HronekDucks (ANA)D241997-11-02 09:04:15Yes170 Lbs6 ft0NoNoNo1Pro & Farm714,166$3,739$0$0$No
Jake BeanDucks (ANA)D231998-06-09 09:01:27Yes185 Lbs6 ft1NoNoNo1Pro & Farm863,333$4,520$0$0$No
Jakub VranaDucks (ANA)LW261996-02-28 05:33:25Yes197 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$5,236$0$0$No1,000,000$
Jeremy Williams (sur la masse salariale)Ducks (ANA)RW381984-01-26 05:11:13No198 Lbs5 ft11NoNoNo1Pro & Farm800,000$4,188$0$0$No
Justin Bailey Ducks (ANA)LW261995-07-01 17:55:47Yes214 Lbs6 ft4NoNoNo1Pro & Farm575,000$3,010$0$0$No
Kalle KossilaDucks (ANA)LW291993-04-14 05:57:50Yes185 Lbs5 ft10NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Keaton EllerbyDucks (ANA)D331988-11-05 23:11:13Yes228 Lbs6 ft5NoNoNo1Pro & Farm1,250,000$6,545$0$0$No
Kristian VesalainenDucks (ANA)LW221999-06-01 09:07:20Yes207 Lbs6 ft4NoNoNo1Pro & Farm925,000$4,843$0$0$No
Liam O'BrienDucks (ANA)LW271994-07-29 14:15:17Yes214 Lbs6 ft1NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Lucas CarlssonDucks (ANA)D241997-07-05 03:25:45Yes190 Lbs6 ft0NoNoNo2Pro & Farm792,500$4,149$0$0$No792,500$
Marcus PetterssonDucks (ANA)D251996-05-08 06:03:21Yes177 Lbs6 ft3NoNoNo3Pro & Farm1,250,000$6,545$0$0$No1,250,000$1,250,000$
Mario FerraroDucks (ANA)D231998-09-17 03:20:21Yes185 Lbs5 ft11NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Matt NietoDucks (ANA)RW291992-11-05 05:11:13Yes190 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$5,236$0$0$No1,000,000$
Nicolas BeaudinDucks (ANA)D221999-10-07 03:17:55Yes168 Lbs5 ft11NoNoNo2Pro & Farm894,167$4,682$0$0$No894,167$
Nikita SoshnikovDucks (ANA)LW281993-10-14 07:27:33Yes187 Lbs5 ft11NoNoNo1Pro & Farm575,000$3,010$0$0$No
Niko MikkolaDucks (ANA)D261996-04-27 03:14:07Yes185 Lbs6 ft4NoNoNo2Pro & Farm842,500$4,411$0$0$No842,500$
Pheonix CopleyDucks (ANA)G301992-01-18 07:42:53Yes200 Lbs6 ft4NoNoNo1Pro & Farm1,100,000$5,759$0$0$No
Scott SabourinDucks (ANA)RW291992-07-30 10:26:50Yes207 Lbs6 ft3NoNoNo1Pro & Farm575,000$3,010$0$0$No
Travis BoydDucks (ANA)C281993-09-14 07:33:39Yes185 Lbs5 ft11NoNoNo1Pro & Farm800,000$4,188$0$0$No
Tyler Graovac Ducks (ANA)C291993-04-26 20:00:54Yes207 Lbs6 ft5NoNoNo1Pro & Farm575,000$3,010$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3126.94195 Lbs6 ft11.58805,215$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VranaCarter VerhaegheMatt Nieto35122
2Emil BemstromTravis BoydDaniel Carr35122
3Kristian VesalainenTyler Graovac Buddy Robinson25122
4Justin Bailey Alexander TrueScott Sabourin5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekKeaton Ellerby35122
2Anthony DeAngeloMario Ferraro35122
3Marcus PetterssonNiko Mikkola30122
4Filip HronekKeaton Ellerby0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VranaCarter VerhaegheMatt Nieto60122
2Emil BemstromTravis BoydDaniel Carr40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekKeaton Ellerby60122
2Anthony DeAngeloMario Ferraro40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakub VranaMatt Nieto60122
2Carter VerhaegheTravis Boyd40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekKeaton Ellerby60122
2Anthony DeAngeloMario Ferraro40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jakub Vrana60122Filip HronekKeaton Ellerby60122
2Matt Nieto40122Anthony DeAngeloMario Ferraro40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakub VranaMatt Nieto60122
2Carter VerhaegheTravis Boyd40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekKeaton Ellerby60122
2Anthony DeAngeloMario Ferraro40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaCarter VerhaegheMatt NietoFilip HronekKeaton Ellerby
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaCarter VerhaegheMatt NietoFilip HronekKeaton Ellerby
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Graovac , Kristian Vesalainen, Alexander TrueTyler Graovac , Kristian VesalainenAlexander True
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marcus Pettersson, Niko Mikkola, Anthony DeAngeloMarcus PetterssonNiko Mikkola, Anthony DeAngelo
Tirs de pénalité
Jakub Vrana, Matt Nieto, Carter Verhaeghe, Travis Boyd, Daniel Carr
Gardien
#1 : Collin Delia, #2 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Jakub Vrana, Matt Nieto, Carter Verhaeghe, Travis Boyd, Daniel Carr, Tyler Graovac , Tyler Graovac , Emil Bemstrom, Kristian Vesalainen, Alexander True, Justin Bailey
Lignes de défense personnalisées en prolongation
Filip Hronek, Keaton Ellerby, Anthony DeAngelo, Mario Ferraro, Marcus Pettersson


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
1Avalanche420002001091210001005502100010054160.75010152500688691181188459788877411627149514321.43%7185.71%01040214148.58%914201145.45%560118647.22%1787104717937421409699
2Blackhawks523000001416-22020000059-43210000097240.400142337006886911816784597888774170603110810110.00%13284.62%21040214148.58%914201145.45%560118647.22%1787104717937421409699
3Blues521010011417-32110000037-4310010011110170.700142135006886911818284597888774142633411317423.53%12375.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
4Bruins210000016421000000123-11100000041330.750610160068869118698459788877477178416116.67%4175.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
5Canadiens22000000716110000004131100000030341.000710170168869118778459788877456190528112.50%000.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
6Canucks622000112425-1302000101114-3320000011311270.583244165006886911819284597888774183704015321314.29%21576.19%01040214148.58%914201145.45%560118647.22%1787104717937421409699
7Capitals2110000056-11010000025-31100000031220.50058130068869118598459788877469214494125.00%20100.00%11040214148.58%914201145.45%560118647.22%1787104717937421409699
8Devils2000010179-21000000145-11000010034-120.50071421006886911867845978887747220645600.00%30100.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
9Flames6220011017170311000108803110010099070.583172542006886911817984597888774186587817623313.04%29582.76%01040214148.58%914201145.45%560118647.22%1787104717937421409699
10Flyers2110000056-11010000046-21100000010120.5005813016886911868845978887747020642100.00%30100.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
11Islanders2000010179-21000010045-11000000134-120.50071320006886911868845978887746822641200.00%3166.67%01040214148.58%914201145.45%560118647.22%1787104717937421409699
12Kings6420000027216321000001312132100000149580.667274269006886911819584597888774188735916416637.50%27388.89%11040214148.58%914201145.45%560118647.22%1787104717937421409699
13Maple Leafs2110000068-2110000005321010000015-420.500611170068869118638459788877465206546116.67%30100.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
14Oilers623000101816232100000106430200010810-260.500182947006886911819484597888774176477716132515.63%31680.65%01040214148.58%914201145.45%560118647.22%1787104717937421409699
15Penguins321000001174220000008351010000034-140.66711213200688691181158459788877483404805240.00%20100.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
16Predators4210100011110220000005322010100068-260.75011203100688691181418459788877413728189813323.08%9277.78%01040214148.58%914201145.45%560118647.22%1787104717937421409699
17Rangers201000107701010000034-11000001043120.5007916006886911864845978887747221654100.00%3166.67%01040214148.58%914201145.45%560118647.22%1787104717937421409699
18Red Wings21100000550110000002111010000034-120.50057120068869118668459788877465141146400.00%30100.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
19Sabres3020010059-42010010046-21010000013-210.167591400688691181048459788877498296814125.00%30100.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
20Senateurs20200000511-61010000024-21010000037-400.000591410688691186184597888774671618493133.33%4175.00%11040214148.58%914201145.45%560118647.22%1787104717937421409699
21Sharks632000011718-1321000009903110000189-170.58317294600688691181998459788877418869731642428.33%24675.00%01040214148.58%914201145.45%560118647.22%1787104717937421409699
22Stars4210010011110220000006422010010057-250.6251118290068869118133845978887741284726931400.00%13192.31%01040214148.58%914201145.45%560118647.22%1787104717937421409699
23Wild4120000112120211000008622010000146-230.37512213300688691181548459788877413940129213323.08%6183.33%01040214148.58%914201145.45%560118647.22%1787104717937421409699
Total82332902747251255-441191500322127129-241141402425124126-2920.5612514136641268869118273584597888774261584154320512474116.60%2253982.67%51040214148.58%914201145.45%560118647.22%1787104717937421409699
_Since Last GM Reset82332902747251255-441191500322127129-241141402425124126-2920.5612514136641268869118273584597888774261584154320512474116.60%2253982.67%51040214148.58%914201145.45%560118647.22%1787104717937421409699
_Vs Conference5624190243417517322714100012083830291090231492902660.5891752844590068869118185484597888774175358246214171973316.75%1923581.77%31040214148.58%914201145.45%560118647.22%1787104717937421409699
_Vs Division301311001321039761576000205149215650011252484350.5831031662690068869118959845978887749213173278181161916.38%1322581.06%11040214148.58%914201145.45%560118647.22%1787104717937421409699

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292L125141366427352615841543205112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233292747251255
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119150322127129
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114142425124126
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2474116.60%2253982.67%5
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
8459788877468869118
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
1040214148.58%914201145.45%560118647.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1787104717937421409699


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
2 - 2021-10-1611Sharks5Ducks1BLR5Sommaire du match
6 - 2021-10-2023Ducks6Blues5AWXSommaire du match
8 - 2021-10-2232Ducks3Sharks4ALXXR5Sommaire du match
10 - 2021-10-2444Canucks5Ducks3BLSommaire du match
12 - 2021-10-2656Oilers2Ducks4BWSommaire du match
14 - 2021-10-2863Ducks3Flames4ALXR5Sommaire du match
16 - 2021-10-3077Flames5Ducks2BLSommaire du match
20 - 2021-11-0394Ducks5Canucks6ALXXR2Sommaire du match
21 - 2021-11-04101Ducks3Blackhawks1AWSommaire du match
23 - 2021-11-06113Kings5Ducks6BWR5Sommaire du match
27 - 2021-11-10129Canucks2Ducks3BWXXSommaire du match
28 - 2021-11-11132Ducks3Oilers2AWXXSommaire du match
30 - 2021-11-13144Ducks4Kings7ALR5Sommaire du match
33 - 2021-11-16159Wild3Ducks6BWSommaire du match
35 - 2021-11-18172Ducks2Blackhawks4ALSommaire du match
39 - 2021-11-22186Blues6Ducks1BLSommaire du match
41 - 2021-11-24201Ducks3Islanders4ALXXSommaire du match
42 - 2021-11-25207Rangers4Ducks3BLSommaire du match
45 - 2021-11-28222Ducks1Maple Leafs5ALSommaire du match
47 - 2021-11-30228Ducks3Red Wings4ALSommaire du match
48 - 2021-12-01237Sabres4Ducks3BLXSommaire du match
51 - 2021-12-04250Ducks3Blues4ALXXSommaire du match
52 - 2021-12-05259Capitals5Ducks2BLSommaire du match
55 - 2021-12-08275Ducks3Devils4ALXSommaire du match
57 - 2021-12-10284Kings4Ducks5BWR5Sommaire du match
59 - 2021-12-12299Ducks2Stars3ALXSommaire du match
61 - 2021-12-14307Red Wings1Ducks2BWSommaire du match
63 - 2021-12-16318Ducks3Senateurs7ALSommaire du match
65 - 2021-12-18330Senateurs4Ducks2BLSommaire du match
69 - 2021-12-22344Ducks1Sabres3ALSommaire du match
71 - 2021-12-24355Flames2Ducks4BWR5Sommaire du match
75 - 2021-12-28374Sharks2Ducks4BWR5Sommaire du match
77 - 2021-12-30389Ducks2Sharks3ALSommaire du match
79 - 2022-01-01398Bruins3Ducks2BLXXSommaire du match
82 - 2022-01-04413Ducks2Blues1AWSommaire du match
84 - 2022-01-06423Flyers6Ducks4BLSommaire du match
87 - 2022-01-09441Ducks3Oilers5ALSommaire du match
89 - 2022-01-11448Penguins2Ducks4BWSommaire du match
91 - 2022-01-13462Ducks3Canadiens0AWSommaire du match
93 - 2022-01-15474Blues1Ducks2BWSommaire du match
96 - 2022-01-18490Avalanche3Ducks2BLXR2Sommaire du match
98 - 2022-01-20501Ducks4Bruins1AWSommaire du match
100 - 2022-01-22512Flames1Ducks2BWXXR5Sommaire du match
103 - 2022-01-25529Ducks4Blackhawks2AWSommaire du match
105 - 2022-01-27540Oilers3Ducks1BLSommaire du match
107 - 2022-01-29549Ducks3Canucks2AWR2Sommaire du match
108 - 2022-01-30560Ducks3Predators2AWXSommaire du match
110 - 2022-02-01569Predators2Ducks3BWSommaire du match
113 - 2022-02-04582Ducks3Penguins4ALSommaire du match
114 - 2022-02-05590Kings3Ducks2BLR5Sommaire du match
117 - 2022-02-08609Blackhawks4Ducks3BLSommaire du match
121 - 2022-02-12629Avalanche2Ducks3BWR2Sommaire du match
122 - 2022-02-13637Ducks2Oilers3ALSommaire du match
125 - 2022-02-16650Ducks4Rangers3AWXXSommaire du match
126 - 2022-02-17660Oilers1Ducks5BWSommaire du match
130 - 2022-02-21680Predators1Ducks2BWSommaire du match
133 - 2022-02-24694Ducks5Kings1AWR5Sommaire du match
134 - 2022-02-25703Sabres2Ducks1BLSommaire du match
136 - 2022-02-27717Ducks5Kings1AWR5Sommaire du match
138 - 2022-03-01727Ducks3Stars4ALSommaire du match
140 - 2022-03-03738Penguins1Ducks4BWSommaire du match
142 - 2022-03-05747Ducks1Flyers0AWSommaire du match
143 - 2022-03-06759Devils5Ducks4BLXXSommaire du match
146 - 2022-03-09774Wild3Ducks2BLR2Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2022-03-11782Ducks4Avalanche2AWR2Sommaire du match
151 - 2022-03-14796Sharks2Ducks4BWR5Sommaire du match
153 - 2022-03-16804Ducks3Sharks2AWSommaire du match
155 - 2022-03-18820Maple Leafs3Ducks5BWSommaire du match
157 - 2022-03-20831Ducks5Canucks3AWR2Sommaire du match
159 - 2022-03-22838Ducks3Capitals1AWSommaire du match
161 - 2022-03-24847Blackhawks5Ducks2BLSommaire du match
165 - 2022-03-28868Ducks1Avalanche2ALXR2Sommaire du match
167 - 2022-03-30876Stars2Ducks3BWSommaire du match
169 - 2022-04-01890Islanders5Ducks4BLXSommaire du match
170 - 2022-04-02898Ducks3Flames1AWR5Sommaire du match
174 - 2022-04-06915Canucks7Ducks5BLSommaire du match
176 - 2022-04-08929Ducks3Predators6ALSommaire du match
178 - 2022-04-10937Ducks3Flames4ALR5Sommaire du match
180 - 2022-04-12947Canadiens1Ducks4BWSommaire du match
183 - 2022-04-15958Ducks2Wild3ALXXR2Sommaire du match
187 - 2022-04-19967Stars2Ducks3BWSommaire du match
190 - 2022-04-22982Ducks2Wild3ALR2Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance78,35638,023
Assistance PCT95.56%92.74%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2839 - 94.62% 121,600$4,985,589$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,021,087$ 2,416,167$ 1,896,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,650$ 2,424,215$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 15,791$ 15,791$




Ducks 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
1Jakub Vrana246116135251-264531941196811.98%106479719.502434581150001218441.23%11.05623
2Jeremy Williams21611370183806033285513.22%114394118.2520103082000315734.08%80.93818
3Matt Nieto2467810518386337937674610.46%134451918.3711223367404247748.36%20.811020
4Anthony DeAngelo24629128157-72795184375325.45%257544022.111220327514518410.00%00.5800
5Carter Verhaeghe1532981110-43824628225611.33%57285118.64427314822480445.47%00.77614

Ducks 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
1Collin Delia1085035170.9172.6662048427533181381420.65040
2Pheonix Copley682822120.8853.503769002201920756200.57156
3Viktor Fasth49211670.8913.432710011551416598320.68025
4Ilya Samsonov42201530.8783.872249201451187522100.4005

Ducks 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
128239330312429126724411818000141411338412115031101501341678291489780208210995630141026104992629297794275021182675018.73%2724981.99%51149221851.80%1175227851.58%721130755.16%174499317827541427710
1582363103624315306941211600211160153741151503413155153292315518833217812610611260783186289449260594659820862735319.41%2304978.70%61057194654.32%1028190553.96%669130051.46%1822110717737141369683
1682332802847252256-441191500322127129-241141302525125127-2932524156671269859218272684596189277262584355720672424116.94%2324182.33%51036213548.52%912201545.26%561118747.26%1784104417977421411699
1682332902747251255-441191500322127129-241141402425124126-2922514136641268869118273584597888774261584154320512474116.60%2253982.67%51040214148.58%914201145.45%560118647.22%1787104717937421409699
Total Saison régulière3281411210102212221109108425164776400869555544111646457010146135545401435511091835294465297406384531108235473850359922910822357224488322102918517.98%95917881.44%214282844050.73%4029820949.08%2511498050.42%713841937147295456172794
Séries éliminatoires
15201460000076571910730000038299107300000382810287612520110222328365519522522213621185160548711622.54%52590.38%028751355.95%25347453.38%16930755.05%438256425182351175
Total Séries éliminatoires201460000076571910730000038299107300000382810287612520110222328365519522522213621185160548711622.54%52590.38%028751355.95%25347453.38%16930755.05%438256425182351175

Ducks 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
1Travis Konecny2011182912029276915.94%838419.2157121100002050.00%01.5100
2Phillip Danault2081927111343585514.55%839519.764812700022059.07%01.3700
3Cory Emmerton2013122513014497617.11%531415.71000000002261.25%01.5900
4Kaspars Daugavins20111021102738275320.75%934117.0947111300002145.00%01.2300
5Jeremy Williams2071219110231729.72%428014.01000000000025.00%01.3600

Ducks 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
1Viktor Fasth1611500.9112.729470043481206000.0000
2Ilya Samsonov53100.9062.93266001313966010.0000