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Connexion

Ducks
GP: 61 | W: 33 | L: 22 | OTL: 6 | P: 72
GF: 274 | GA: 232 | PP%: 17.88% | PK%: 79.68%
DG: Roger Storoschuk | Morale : 57 | Moyenne d’équipe : 73
Prochains matchs #934 vs Predators

Centre de jeu
Flyers
18-40-2, 38pts
2
6 Ducks
33-22-6, 72pts
Team Stats
L5SéquenceW2
8-20-2Fiche domicile13-12-5
10-20-0Fiche visiteur20-10-1
2-6-2Derniers 10 matchs6-3-1
3.85Buts par match 4.49
5.58Buts contre par match 3.80
18.12%Pourcentage en avantage numérique17.88%
78.81%Pourcentage en désavantage numérique79.68%
Rangers
24-33-3, 51pts
2
8 Ducks
33-22-6, 72pts
Team Stats
L1SéquenceW2
11-18-1Fiche domicile13-12-5
13-15-2Fiche visiteur20-10-1
5-4-1Derniers 10 matchs6-3-1
3.83Buts par match 4.49
4.48Buts contre par match 3.80
13.77%Pourcentage en avantage numérique17.88%
83.68%Pourcentage en désavantage numérique79.68%
Ducks
33-22-6, 72pts
Jour 78
Predators
36-17-5, 77pts
Statistiques d’équipe
W2SéquenceL2
13-12-5Fiche domicile20-8-2
20-10-1Fiche visiteur16-9-3
6-3-110 derniers matchs2-7-1
4.49Buts par match 4.05
3.80Buts contre par match 4.05
17.88%Pourcentage en avantage numérique21.77%
79.68%Pourcentage en désavantage numérique83.73%
Ducks
33-22-6, 72pts
Jour 79
Blackhawks
32-26-2, 66pts
Statistiques d’équipe
W2SéquenceL2
13-12-5Fiche domicile18-12-0
20-10-1Fiche visiteur14-14-2
6-3-110 derniers matchs6-4-0
4.49Buts par match 4.28
3.80Buts contre par match 4.28
17.88%Pourcentage en avantage numérique24.03%
79.68%Pourcentage en désavantage numérique80.49%
Bruins
35-19-5, 75pts
Jour 81
Ducks
33-22-6, 72pts
Statistiques d’équipe
L1SéquenceW2
18-8-4Fiche domicile13-12-5
17-11-1Fiche visiteur20-10-1
6-4-010 derniers matchs6-3-1
4.39Buts par match 4.49
3.81Buts contre par match 4.49
16.17%Pourcentage en avantage numérique17.88%
87.59%Pourcentage en désavantage numérique79.68%
Meneurs d'équipe
Kyle ConnorButs
Kyle Connor
48
Dylan LarkinPasses
Dylan Larkin
77
Dylan LarkinPoints
Dylan Larkin
116
Zach HymanPlus/Moins
Zach Hyman
42
Joey DaccordVictoires
Joey Daccord
32
Joey DaccordPourcentage d’arrêts
Joey Daccord
0.899

Statistiques d’équipe
Buts pour
274
4.49 GFG
Tirs pour
2578
42.26 Avg
Pourcentage en avantage numérique
17.9%
27 GF
Début de zone offensive
37.4%
Buts contre
232
3.80 GAA
Tirs contre
2281
37.39 Avg
Pourcentage en désavantage numérique
79.7%%
51 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralRoger Storoschuk
EntraîneurClaude Julien
DivisionPacific
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2Cole Sillinger


Informations de l’aréna

NomHonda Center
Capacité18,000
Assistance14,549
Billets de saison10,800


Informations de la formation

Équipe Pro20
Équipe Mineure26
Limite contact 46 / 100
Espoirs70


Plafond salarial

Cap Salarial de la Saison estimé73,607,099$
Plafond salarial disponible892,901$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour47,063,024$
Dépenses annuelles à ce jour50,135,508$
Revenus de la saison estimés20,393,977$
Dépenses de la saison estimées28,221,631$
Compte bancaire actuel117,676,961$
Compte bancaire projeté108,242,524$


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
1Dylan LarkinX99.0066428582728499909788907663808179848002923,544,000$
2Kyle ConnorXX99.0062519080688499842893976977778082837902939,260,000$
3Tyler ToffoliXX100.0069439474737495875277896243859077827503324,165,000$
4Zach HymanXX100.0071438685757990853570886125788377827403333,175,000$
5Casey MittelstadtX100.0063429185727598798077736155727370827302733,362,000$
6Warren FoegeleXX100.0073439188757399663972817525747875827303012,000,000$
7Noah CatesXX100.0075449478727295688273727825666671807102732,857,000$
8Tyler BertuzziX100.0070538271757399794174796425737472817103135,950,000$
9Scott LaughtonXX100.0087588874716897647468697625798170807003125,250,000$
10Ross ColtonX100.0089459176706778734368776480697371827002934,850,000$
11Anthony BeauvillierX100.0081449582666398614061716275778069786802811,430,000$
12Jordan GreenwayXX100.009498637090695661346360812572746482670292835,000$
13MacKenzie WeegarX100.0094568790759098862574559125757669818103212,472,000$
14Jake WalmanX100.0073448175788682812574539125676866827603038,350,000$
15Justin FaulkX100.0076448876768595792571518125878964807603429,000,000$
16Mikey AndersonX100.008044897071869463255951952569706480740261958,000$
17Josh MansonX100.0087468376807565612562488525778063797203432,524,000$
18Keaton MiddletonX100.0082798071925775612545477625505057826602821,171,000$
Rayé
Équipe Mineure
1Cole SmithXX99.0089957279776588644963608225666764826803032,500,000$
2Mikael Pyyhtia (R)X100.006541968667629062555761752554546276650241897,500$
3Ryan LombergXX100.0080948182665297623463596625697162786503131,500,000$
4Sam LaffertyXXX100.0080458783765577625757596725697161716403122,200,000$
5Dakota JoshuaXXX100.009970826978637464546163672566676551640291900,000$
6Bradly Nadeau (R)X100.0070638473657982665061686166464665776302031,422,000$
7Jared DavidsonX100.007167807069798461785464606246466173620233842,000$
8Cole Schwindt (R)X100.007444997976546159686456642550506069610241934,000$
9Rhett Pitlick (R)XXX100.0073629981633732587368446042464654725702531,352,000$
10Julian Lutz (R)X100.0076729365744848485047436143464652685302231,258,000$
11Francesco Arcuri (R)X100.0076748682764546425537425942464649635202231,268,000$
12Jan RuttaX100.0069438585767271632552528425717460787003522,900,000$
13Matt GrzelcykX100.0063419472658199742568477125747862656903221,800,000$
14Connor MackeyX100.0074815867817784512545426040494951706102911,319,000$
15Elias Salomonsson (R)X100.0074708768726568522549426040464652735902131,284,000$
16Dysin MayoX100.0069706265706873522541495846464651625702921,934,000$
17Marek Alscher (R)X100.0076748165766469452536396038464648755702231,286,000$
18Kyle Masters (R)X100.0075669561663837462536415939454549185202331,037,000$
19Ryder RolstonX100.008075946877555459505559645646466054590241825,000$
20Brandon CoeX100.007674856576525348504745604546465257530241925,000$
21Riley Hughes (R)XXX100.0077728762724342496147466244444453205202531,319,000$
MOYENNE D’ÉQUIPE99.92765986757467786445616069386364637266
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
1Joey Daccord100.007587837873797374787549606073827402921,205,000$
2Jake Allen100.007361627778697577817375717371897303521,650,000$
Rayé
Équipe Mineure
1Spencer Knight100.006968667873647166696761575867786702422,472,000$
2Will Cranley (R)100.004440507845904650918145444460656002431,075,000$
3Brett Brochu (R)100.004440506345894549908145444460225802331,000,000$
4Devin Cooley100.005240508257565157585730444454205502821,750,000$
5Vadim Zherenko100.00495063844950505550503044445120530251846,667$
MOYENNE D’ÉQUIPE100.0058556177607159617469485252625463
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien96828078998887CAN6014,750,000$


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
1Dylan LarkinDucksC6139771164160010516135111220411.11%55140923.112121435137011112107158.99%23095521021.6500000883
2Kyle ConnorDucksLW/RW61485199385115938834810821713.79%42141423.19681425136202142276040.00%1406329031.4001111975
3Tyler ToffoliDucksC/RW61263460120071552336915311.16%2695115.5907717110000004241.18%51468011.2600000527
4Casey MittelstadtDucksC61253358318071761926813613.02%33101416.634481311001181504253.35%7163315001.1401000442
5Zach HymanDucksLW/RW6027305742651568591755611715.43%34116119.36651120131000002031.68%1012917100.9801101245
6Tyler BertuzziDucksLW611825431763510464147519112.24%2597716.0211291091013292238.71%312718000.8801010123
7Ross ColtonDucksC61142741182008660120419211.67%1873812.1100000000002043.57%521168001.1100000121
8MacKenzie WeegarDucksD619314013361011410415858905.70%114160626.33459171530116242100%03138000.5000011020
9Justin FaulkDucksD6162935144115588410253425.88%85143123.46224181520112243010%01440000.4900021100
10Warren FoegeleDucksLW/RW61171734840644218154949.39%2169111.34000180002193129.41%173511000.9800000220
11Jake WalmanDucksD614263026655768712155723.31%102137922.62202396000169020%01131000.4311000000
12Noah CatesDucksC/LW61101929700193011944738.40%125308.69000040002561059.78%184246001.0900000002
13Mikey AndersonDucksD61321244127580706627314.55%84114318.750115950000142000%0736000.4200010120
14Scott LaughtonDucksC/LW61811198155863553253615.09%2465210.6900000000080134.62%2688000.5800100000
15Jordan GreenwayDucksLW/RW58511164602075426319417.94%185629.690000500041080044.44%998000.5700211001
16Josh MansonDucksD5838111453568665725285.26%7299517.16000040000113000%0523000.2200010000
17Keaton MiddletonDucksD610111128441061503819200%4575512.380000100001000%0320000.2900101000
18Dakota JoshuaGulls (ANA)C/LW/RW3473107603391751841.18%52517.3800000000001050.00%451000.8000000002
19Anthony BeauvillierDucksLW27437-100141233122112.12%31967.2600000000000040.00%560000.7100000000
20Cole SmithGulls (ANA)LW/RW31010005131133.33%0227.420000000000000%000000.9000000000
21Matt GrzelcykGulls (ANA)D1000000000000%000.430000000000000%00000000000000
22Connor MackeyGulls (ANA)D3000-100411010%24013.470000000001000%00000000000000
Statistiques d’équipe totales ou en moyenne1098274467741339628110135511962578902157810.63%8201792516.332745721631258347531625331254.06%4114427338160.8315686343531
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
1Joey DaccordDucks59322250.8993.7634924021921641049210.6673591205
2Will CranleyGulls (ANA)21000.9005.007200660330000133010
3Jake AllenDucks10000.9571.823300123140000024000
4Brett BrochuGulls (ANA)20010.8793.38710043316000013000
Statistiques d’équipe totales ou en moyenne64332260.8993.76366940230228011122136161215


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Anthony BeauvillierDucksLW281997-06-08CANNo180 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm1,430,000$512,417$1,430,000$512,417$No---------------------------Lien / Lien NHL
Casey MittelstadtDucksC271998-11-22USANo195 Lbs6 ft1NoNoN/ANoYes32025-10-22FalseFalsePro & Farm3,362,000$1,204,717$3,362,000$1,204,717$No3,362,000$3,362,000$-------3,362,000$3,362,000$-------NoNo-------Lien / Lien NHL
Dylan LarkinDucksC291996-07-30USANo199 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro & Farm3,544,000$1,269,933$3,544,000$1,269,933$No3,544,000$--------3,363,000$--------No--------Lien / Lien NHL
Jake AllenDucksG351990-08-07CANNo197 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,650,000$591,250$1,650,000$591,250$No1,650,000$--------1,650,000$--------No--------Lien / Lien NHL
Jake WalmanDucksD301996-02-20CANNo218 Lbs6 ft1NoNoAssign Manually2025-03-11NoYes32025-11-06FalseFalsePro & Farm8,350,000$2,992,083$8,350,000$2,992,083$No8,350,000$8,350,000$-------8,350,000$8,350,000$-------NoNo-------Lien / Lien NHL
Joey DaccordDucksG291996-08-19USANo201 Lbs6 ft2NoNoN/ANoYes2FalseFalsePro & Farm1,205,000$431,792$1,205,000$431,792$No1,205,000$--------875,710$--------No--------Lien / Lien NHL
Jordan GreenwayDucksLW/RW291997-02-16USANo231 Lbs6 ft6NoNoN/ANoYes2FalseFalsePro & Farm835,000$299,208$835,000$299,208$No835,000$--------913,234$--------No--------Lien / Lien NHL
Josh MansonDucksD341991-10-07USANo218 Lbs6 ft3NoNoN/ANoYes32025-05-01FalseFalsePro & Farm2,524,000$904,433$2,524,000$904,433$No2,524,000$2,524,000$-------2,524,000$2,524,000$-------NoNo-------Lien / Lien NHL
Justin FaulkDucksD341992-03-20USANo214 Lbs6 ft0NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm9,000,000$3,225,000$9,000,000$3,225,000$No9,000,000$--------9,000,000$--------No--------Lien / Lien NHL
Keaton MiddletonDucksD281998-02-10CANNo240 Lbs6 ft6NoNoN/ANoYes2FalseFalsePro & Farm1,171,000$419,608$1,171,000$419,608$No1,171,000$--------1,171,000$--------No--------Lien / Lien NHL
Kyle ConnorDucksLW/RW291996-12-09USANo183 Lbs6 ft1NoNoN/ANoYes3FalseFalsePro & Farm9,260,000$3,318,167$9,260,000$3,318,167$No9,260,000$9,260,000$-------9,260,000$9,260,000$-------NoNo-------Lien / Lien NHL
MacKenzie WeegarDucksD321994-01-07CANNo206 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm2,472,000$885,800$2,472,000$885,800$No---------------------------Lien / Lien NHL
Mikey AndersonDucksD261999-05-25USANo195 Lbs6 ft0NoNoDraftNoYes12025-10-27FalseFalsePro & Farm958,000$343,283$958,000$343,283$No---------------------------Lien
Noah CatesDucksC/LW271999-02-05USANo194 Lbs6 ft2NoNoN/ANoYes32025-10-17FalseFalsePro & Farm2,857,000$1,023,758$2,857,000$1,023,758$No2,857,000$2,857,000$-------2,857,000$2,857,000$-------NoNo-------Lien
Ross ColtonDucksC291996-09-11USANo194 Lbs6 ft0NoNoAssign Manually2024-12-03NoYes32025-11-06FalseFalsePro & Farm4,850,000$1,737,917$4,850,000$1,737,917$No4,850,000$4,850,000$-------4,850,000$4,850,000$-------NoNo-------Lien / Lien NHL
Scott LaughtonDucksC/LW311994-05-30CANNo191 Lbs6 ft1NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm5,250,000$1,881,250$5,250,000$1,881,250$No5,250,000$--------5,250,000$--------No--------Lien / Lien NHL
Tyler BertuzziDucksLW311995-02-24CANNo200 Lbs6 ft2NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm5,950,000$2,132,083$5,950,000$2,132,083$No5,950,000$5,950,000$-------5,950,000$5,950,000$-------NoNo-------Lien / Lien NHL
Tyler ToffoliDucksC/RW331992-04-24CANNo203 Lbs6 ft0NoNoN/ANoYes22025-10-17FalseFalsePro & Farm4,165,000$1,492,458$4,165,000$1,492,458$No4,165,000$--------4,165,000$--------No--------Lien / Lien NHL
Warren FoegeleDucksLW/RW301996-04-01CANNo204 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm2,000,000$716,667$2,000,000$716,667$No---------------------------Lien / Lien NHL
Zach HymanDucksLW/RW331992-06-09CANNo206 Lbs6 ft1NoNoN/ANoYes32025-05-01FalseFalsePro & Farm3,175,000$1,137,708$3,175,000$1,137,708$No3,175,000$3,175,000$-------3,175,000$3,175,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.20203 Lbs6 ft22.203,700,400$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
74,008,000$67,148,000$40,328,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle ConnorDylan LarkinZach Hyman40122
2Tyler BertuzziCasey MittelstadtTyler Toffoli30122
3Scott LaughtonRoss ColtonWarren Foegele20122
4Anthony BeauvillierNoah CatesJordan Greenway10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1MacKenzie WeegarJake Walman40122
2Josh MansonJustin Faulk35122
3Keaton MiddletonMikey Anderson25131
4MacKenzie WeegarJake Walman0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle ConnorDylan LarkinZach Hyman55113
2Tyler BertuzziCasey MittelstadtTyler Toffoli45113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1MacKenzie WeegarJustin Faulk55113
2Mikey AndersonJake Walman45113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan LarkinKyle Connor65131
2Casey MittelstadtTyler Bertuzzi35131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin FaulkMacKenzie Weegar65131
2Josh MansonMikey Anderson35131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Larkin60131MacKenzie WeegarJustin Faulk60131
2Casey Mittelstadt40131Josh MansonJake Walman40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan LarkinKyle Connor50122
2Tyler ToffoliCasey Mittelstadt50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1MacKenzie WeegarJustin Faulk50122
2Josh MansonJake Walman50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle ConnorDylan LarkinZach HymanMacKenzie WeegarJustin Faulk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott LaughtonDylan LarkinZach HymanMacKenzie WeegarMikey Anderson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Connor, Dylan Larkin, Casey MittelstadtKyle Connor, Dylan LarkinKyle Connor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikey Anderson, Justin Faulk, MacKenzie WeegarJake WalmanMacKenzie Weegar, Justin Faulk
Tirs de pénalité
Tyler Bertuzzi, Tyler Toffoli, Kyle Connor, Dylan Larkin, Casey Mittelstadt
Gardien
#1 : Joey Daccord, #2 : Jake Allen
Lignes d’attaque personnalisées en prolongation
Dylan Larkin, Kyle Connor, Tyler Toffoli, Zach Hyman, Tyler Bertuzzi, Scott Laughton, Casey Mittelstadt, Warren Foegele, Ross Colton, Noah Cates
Lignes de défense personnalisées en prolongation
MacKenzie Weegar, Justin Faulk, Jake Walman, Mikey Anderson, Josh Manson


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
1Avalanche1010000023-11010000023-10000000000000.0002240020004820161203921422100.00%2150.00%0816153453.19%849155754.53%559100855.46%2213208178
2Blue Jackets10001000321000000000001000100032121.00036900020135111112132151118200.00%40100.00%0816153453.19%849155754.53%559100855.46%22122110199
3Bruins11000000734000000000001100000073421.0007101700124046181513045111114100.00%30100.00%0816153453.19%849155754.53%559100855.46%2113209178
4Canadiens200011008801000010034-11000100054130.75081321002321802831147731616385120.00%8275.00%0816153453.19%849155754.53%559100855.46%432341183919
5Canucks3200000117981100000072521000001107350.83317294600863012954403531204640699222.22%10370.00%1816153453.19%849155754.53%559100855.46%714257275628
6Capitals1010000038-51010000038-50000000000000.00035800111044191510042121322200.00%4250.00%0816153453.19%849155754.53%559100855.46%2212208178
7Coyotes11000000752110000007520000000000021.0007111800331052181915029961411100.00%30100.00%0816153453.19%849155754.53%559100855.46%2416178178
8Devils211000007701010000035-21100000042220.50071320001510783625170732720333133.33%10370.00%0816153453.19%849155754.53%559100855.46%422341193617
9Flames825001002833-530200100914-5523000001919050.313284876006111103081071099203271137217114214.29%32681.25%0816153453.19%849155754.53%559100855.46%163921807013867
10Flyers11000000624110000006240000000000021.000611170031205623151802069223133.33%20100.00%0816153453.19%849155754.53%559100855.46%2616158179
11Golden Knights4310000017116211000008712200000094560.75017284500845016668534501454226971119.09%13469.23%0816153453.19%849155754.53%559100855.46%884976367438
12Islanders211000009811010000035-21100000063320.5009172610261092244226079261242200.00%6350.00%0816153453.19%849155754.53%559100855.46%422544173215
13Jets220000001578110000006331100000094541.0001527420048309028362607121365214535.71%13469.23%0816153453.19%849155754.53%559100855.46%422239183819
14Kings32100000201461100000076121100000138540.6672033530089301265046300134521005812541.67%30583.33%1816153453.19%849155754.53%559100855.46%603366305224
15Lightning32100000201281100000093621100000119240.66720365600794012342562501104025861500.00%10280.00%0816153453.19%849155754.53%559100855.46%653559285528
16Maple Leafs11000000642000000000001100000064221.00061016001140421314150451012182150.00%60100.00%0816153453.19%849155754.53%559100855.46%20102110188
17Oilers31200000914-51100000043120200000511-620.333914230052201365150350111461454800.00%7185.71%0816153453.19%849155754.53%559100855.46%673860265226
18Panthers1000010045-11000010045-10000000000010.50048120011204619111603614230100.00%110.00%0816153453.19%849155754.53%559100855.46%2516187169
19Penguins11000000523110000005230000000000021.00058130031104015817039198212150.00%4250.00%0816153453.19%849155754.53%559100855.46%2213199188
20Predators2010010057-22010010057-20000000000010.250571200122088313225055202946300.00%9277.78%0816153453.19%849155754.53%559100855.46%482835183617
21Rangers220000001257110000008261100000043141.0001220320064201064538230581819496116.67%8187.50%0816153453.19%849155754.53%559100855.46%493034173517
22Red Wings1100000010460000000000011000000104621.00010172700631050301280402313213266.67%40100.00%1816153453.19%849155754.53%559100855.46%2516197157
23Sabres2110000079-21010000015-41100000064220.5007121900025070192625082331856100.00%9366.67%0816153453.19%849155754.53%559100855.46%412344183415
24Senators312000001319-621100000913-41010000046-220.33313253800364011239383501294921663133.33%80100.00%0816153453.19%849155754.53%559100855.46%603368265125
25Sharks522001001112-13110010067-12110000055050.500111829005600184637047415868481311317.69%24195.83%0816153453.19%849155754.53%559100855.46%1075899519443
26Stars220000001156110000005411100000061541.00011203100425092411833069221443500.00%7185.71%0816153453.19%849155754.53%559100855.46%432540193516
27Whalers21100000910-11010000057-21100000043120.50091423004410962940270872923424125.00%9366.67%0816153453.19%849155754.53%559100855.46%482938163317
28Wild1010000034-1000000000001010000034-100.0003580011104391915033121020500.00%5180.00%0816153453.19%849155754.53%559100855.46%189229198
Total61312202501274232423013120050012512233118100200114911039720.5902744677411096105712257895090571115228182063213551512717.88%2515179.68%3816153453.19%849155754.53%559100855.46%133976912475611089536
_Since Last GM Reset61312202501274232423013120050012512233118100200114911039720.5902744677411096105712257895090571115228182063213551512717.88%2515179.68%3816153453.19%849155754.53%559100855.46%133976912475611089536
_Vs Conference351714003011451242117860030066615189800001796316380.543145242387005554360146254050841071291472399777961717.71%1552981.29%2816153453.19%849155754.53%559100855.46%758429717326631308
_Vs Division261211002011029391154002004139215770000161547270.51910217027200403824010493933682847995367300580671116.42%1162082.76%2816153453.19%849155754.53%559100855.46%559314541243467228

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6172W227446774125782281820632135510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6131222501274232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3013120500125122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3118102001149110
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1512717.88%2515179.68%3
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
9509057111596105712
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
816153453.19%849155754.53%559100855.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
133976912475611089536


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
111Ducks3Flames5LSommaire du match
223Flames6Ducks5LXSommaire du match
339Oilers3Ducks4WSommaire du match
454Ducks5Flames2WSommaire du match
672Ducks5Golden Knights2WSommaire du match
779Ducks4Flames6LSommaire du match
891Sharks2Ducks1LXR1Sommaire du match
9111Ducks6Sabres4WSommaire du match
10122Golden Knights4Ducks2LSommaire du match
11138Ducks3Canucks4LXXSommaire du match
13154Kings6Ducks7WR5Sommaire du match
14160Ducks4Kings5LSommaire du match
16184Sharks4Ducks2LR1Sommaire du match
17202Predators5Ducks4LXSommaire du match
19219Ducks2Sharks4LR1Sommaire du match
20233Canucks2Ducks7WSommaire du match
21251Ducks5Flames3WSommaire du match
22260Ducks8Lightning2WSommaire du match
23274Coyotes5Ducks7WSommaire du match
25295Avalanche3Ducks2LSommaire du match
26314Ducks2Flames3LSommaire du match
27320Ducks3Oilers5LSommaire du match
28334Predators2Ducks1LSommaire du match
29352Ducks3Sharks1WR1Sommaire du match
30370Lightning3Ducks9WSommaire du match
32387Ducks7Bruins3WSommaire du match
33400Ducks7Canucks3WSommaire du match
34408Senators10Ducks3LSommaire du match
36429Whalers7Ducks5LSommaire du match
37445Ducks4Devils2WSommaire du match
38457Ducks5Canadiens4WXSommaire du match
39470Jets3Ducks6WR3Sommaire du match
40495Flames4Ducks2LSommaire du match
41509Ducks6Stars1WSommaire du match
42521Canadiens4Ducks3LXSommaire du match
44538Ducks6Maple Leafs4WSommaire du match
45549Flames4Ducks2LSommaire du match
46571Ducks4Golden Knights2WSommaire du match
48583Capitals8Ducks3LSommaire du match
50602Ducks3Blue Jackets2WXSommaire du match
51615Ducks9Jets4WR3Sommaire du match
52625Sharks1Ducks3WR1Sommaire du match
53644Penguins2Ducks5WSommaire du match
55660Ducks3Lightning7LSommaire du match
56674Ducks4Senators6LSommaire du match
57682Senators3Ducks6WSommaire du match
58705Sabres5Ducks1LSommaire du match
60721Ducks10Red Wings4WSommaire du match
61736Golden Knights3Ducks6WSommaire du match
63753Ducks9Kings3WR5Sommaire du match
64767Ducks3Wild4LSommaire du match
65780Panthers5Ducks4LXSommaire du match
66796Ducks4Whalers3WSommaire du match
67806Stars4Ducks5WSommaire du match
69829Devils5Ducks3LSommaire du match
70842Ducks4Rangers3WSommaire du match
72860Islanders5Ducks3LSommaire du match
73876Ducks6Islanders3WSommaire du match
74889Ducks2Oilers6LSommaire du match
75897Flyers2Ducks6WSommaire du match
77923Rangers2Ducks8WSommaire du match
78934Ducks-Predators-
79947Ducks-Blackhawks-
81961Bruins-Ducks-
82977Ducks-Penguins-
83991Whalers-Ducks-
851011Ducks-Flyers-
861019Ducks-Capitals-
871026Blackhawks-Ducks-
881045Ducks-Blues-
891054Oilers-Ducks-
911079Ducks-Sabres-
921085Blue Jackets-Ducks-
941108Ducks-Canucks-
951119Maple Leafs-Ducks-
961143Red Wings-Ducks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971150Ducks-Kings-
991170Ducks-Panthers-
1001178Kings-Ducks-
1011197Ducks-Avalanche-
1031208Oilers-Ducks-
1061240Blues-Ducks-
1091263Canucks-Ducks-
1101275Ducks-Coyotes-
1131300Wild-Ducks-
1171331Golden Knights-Ducks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets90704025180
Assistance170,793102,58847,54788,18227,372
Attendance PCT94.89%68.39%79.25%73.49%91.24%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
13 14549 - 80.83% 1,568,767$47,063,024$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
50,135,508$ 74,008,000$ 74,008,000$ 4,750,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
616,733$ 47,087,580$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
20,393,977$ 43 656,317$ 28,221,631$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
30,935,566$ 117,676,961$ 108,242,524$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,607,099$ 892,901$ 74,500,000$ 15,107,099$



Charte de profondeur

Ailier gaucheCentreAilier droit
Kyle ConnorAGE:29PO:82OV:79
Zach HymanAGE:33PO:77OV:74
Warren FoegeleAGE:30PO:75OV:73
Tyler BertuzziAGE:31PO:72OV:71
Noah CatesAGE:27PO:71OV:71
Scott LaughtonAGE:31PO:70OV:70
Anthony BeauvillierAGE:28PO:69OV:68
Cole SmithAGE:30PO:64OV:68
Jordan GreenwayAGE:29PO:64OV:67
Mikael Pyyhtia (R)AGE:24PO:62OV:65
Ryan LombergAGE:31PO:62OV:65
Dakota JoshuaAGE:29PO:65OV:64
Sam LaffertyAGE:31PO:61OV:64
Bradly Nadeau (R)AGE:20PO:65OV:63
Rhett Pitlick (R)AGE:25PO:54OV:57
Julian Lutz (R)AGE:22PO:52OV:53
Riley Hughes (R)AGE:25PO:53OV:52
Dylan LarkinAGE:29PO:79OV:80
Tyler ToffoliAGE:33PO:77OV:75
Casey MittelstadtAGE:27PO:70OV:73
Noah CatesAGE:27PO:71OV:71
Ross ColtonAGE:29PO:71OV:70
Scott LaughtonAGE:31PO:70OV:70
Dakota JoshuaAGE:29PO:65OV:64
Sam LaffertyAGE:31PO:61OV:64
Jared DavidsonAGE:23PO:61OV:62
Rhett Pitlick (R)AGE:25PO:54OV:57
Riley Hughes (R)AGE:25PO:53OV:52
Francesco Arcuri (R)AGE:22PO:49OV:52
Kyle ConnorAGE:29PO:82OV:79
Tyler ToffoliAGE:33PO:77OV:75
Zach HymanAGE:33PO:77OV:74
Warren FoegeleAGE:30PO:75OV:73
Cole SmithAGE:30PO:64OV:68
Jordan GreenwayAGE:29PO:64OV:67
Ryan LombergAGE:31PO:62OV:65
Dakota JoshuaAGE:29PO:65OV:64
Sam LaffertyAGE:31PO:61OV:64
Cole Schwindt (R)AGE:24PO:60OV:61
Ryder RolstonAGE:24PO:60OV:59
Rhett Pitlick (R)AGE:25PO:54OV:57
Brandon CoeAGE:24PO:52OV:53
Riley Hughes (R)AGE:25PO:53OV:52

Défense #1Défense #2Gardien
MacKenzie WeegarAGE:32PO:69OV:81
Jake WalmanAGE:30PO:66OV:76
Justin FaulkAGE:34PO:64OV:76
Mikey AndersonAGE:26PO:64OV:74
Josh MansonAGE:34PO:63OV:72
Jan RuttaAGE:35PO:60OV:70
Matt GrzelcykAGE:32PO:62OV:69
Keaton MiddletonAGE:28PO:57OV:66
Connor MackeyAGE:29PO:51OV:61
Elias Salomonsson (R)AGE:21PO:52OV:59
Dysin MayoAGE:29PO:51OV:57
Marek Alscher (R)AGE:22PO:48OV:57
Kyle Masters (R)AGE:23PO:49OV:52
Joey DaccordAGE:29PO:73OV:74
Jake AllenAGE:35PO:71OV:73
Spencer KnightAGE:24PO:67OV:67
Will Cranley (R)AGE:24PO:60OV:60
Brett Brochu (R)AGE:23PO:60OV:58
Devin CooleyAGE:28PO:54OV:55
Vadim ZherenkoAGE:25PO:51OV:53

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Aaron HuglenDucks201992
Adam SmithDucks2016195
Aidan LaneDucks2025151
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Bryce BrodzinskiDucks2019202
Chris MartenetDucks2015111
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Connor HobbsDucks00Lien
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Cullen PotterDucks202527
Danil KarpovichDucks2023153
David PopeDucks00Lien
Dennis Good BoggDucks2023207
Eric FlorchukDucks2018216
Erik FoleyDucks201574
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German RubtsovDucks00Lien
Hampton SlukynskyDucks202397
Hunter LaingDucks2024172
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Jack GloverDucks201464
Jacob GoldenDucks2017153
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Riley PattersonDucks2024119
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Yet another new website!

Par Alec McMillan (Oilers) Le Wednesday 11th August 2021 / 7:57pm

Last website I bought was a pain in the ass to deal with and to update.  This one is VERY similar and comes with the sim, so I'm already paying for it yearly.  Working on functionality and getting team logos to show up.....but I think I may be sticking with this one with portal being secondary but will see.  At least all the data is here as far as I can tell so far!

Voir commentaires (4)
Ryan Dyck (Lightning) Le 11th August / 8:20pm :

Looks pretty good so far!

Trevor Robb (Islanders) Le 11th August / 10:18pm :

Hey this one allows comments and you can login!

Trev

Quentin Robb (Jets) Le 11th August / 11:43pm :

loving this so far

Roger Storoschuk (Ducks) Le 19th August / 2:12pm :

Alec what is this costing you?

Nouveau commentaire

Gostisbehere On The Block

Par Roger Storoschuk (Ducks) Le Thursday 1st October 2020 / 5:53pm

The ghost is on the block.  Willing to listen to anything.

Nouveau commentaire



Ducks Historique de transactions

[3/30/2026 5:07:34 PM] New Record for Team's Most Penalties Minutes (56) in 1 Game for Ducks!



Pas de blessure ou de suspension.


Ducks Leaders statistiques des joueurs (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

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

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

Ducks Leaders statistiques des joueurs (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

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