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Connexion

Ducks
GP: 11 | W: 4 | L: 7
GF: 35 | GA: 39 | PP%: 20.31% | PK%: 87.76%
DG: Sébastien Charbonneau | Morale : 28 | Moyenne d’équipe : 66
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Centre de jeu
Kings
14-7-0, 28pts
3
FINAL
2 Ducks
4-7-0, 8pts
Team Stats
L1SéquenceL3
7-4-0Fiche domicile1-4-0
7-3-0Fiche domicile3-3-0
4-6-0Derniers 10 matchs4-4-2
3.29Buts par match 3.18
2.81Buts contre par match 3.55
14.06%Pourcentage en avantage numérique20.31%
81.36%Pourcentage en désavantage numérique87.76%
Kings
14-7-0, 28pts
5
FINAL
4 Ducks
4-7-0, 8pts
Team Stats
L1SéquenceL3
7-4-0Fiche domicile1-4-0
7-3-0Fiche domicile3-3-0
4-6-0Derniers 10 matchs4-4-2
3.29Buts par match 3.18
2.81Buts contre par match 3.55
14.06%Pourcentage en avantage numérique20.31%
81.36%Pourcentage en désavantage numérique87.76%
Meneurs d'équipe
Buts
Travis Boyd
7
Passes
Anthony DeAngelo
10
Points
Anthony DeAngelo
12
Plus/Moins
Mason McTavish
3
Victoires
Collin Delia
4
Pourcentage d’arrêts
Collin Delia
0.883

Statistiques d’équipe
Buts pour
35
3.18 GFG
Tirs pour
350
31.82 Avg
Pourcentage en avantage numérique
20.3%
13 GF
Début de zone offensive
41.0%
Buts contre
39
3.55 GAA
Tirs contre
332
30.18 Avg
Pourcentage en désavantage numérique
87.8%%
6 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralSébastien Charbonneau
EntraîneurGreg Cronin
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison1,800


Informations de la formation

Équipe Pro39
Équipe Mineure19
Limite contact 58 / 60
Espoirs39


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
1Travis Boyd (R)X100.0069508079768786816877757125797663697203031,500,000$
2Mason McTavish (R)X100.007350727688867885677976672580594867722213894,167$
3Peyton Krebs (R)X100.007761698280848076707669712576615254700232863,333$
4Carl Grundstrom (R)X100.008445877680818376406772692576715856690262700,000$
5Hudson Fasching (R)X100.0071408673828383754075716625748168536902821,000,000$
6Emil Bemstrom (R)X100.006640927681828174507467662573665440680253800,000$
7A.J. Greer (R)X100.008283567385788572406664692571796729670273800,000$
8Liam O'Brien (R)X100.008784567283838769506763702569847238670291750,000$
9Alexander True (R)X100.008588696877676869817468636076774559660263700,000$
10Daniel Carr (R)X100.005525996673657766656664676590824618640322575,000$
11Justin Bailey (R)X100.008183686678685364467369686378746316640282575,000$
12Buddy Robinson (R)X100.006546616582707064426967672587775317640322600,000$
13Marcus Pettersson (R)X100.0075616579758984784086738225747663567502811,250,000$
14Anthony DeAngelo (R)X100.0069616585739087864079767325847966377502833,000,000$
15Mario Ferraro (R)X100.0078458281848883754067678725756660597502533,000,000$
16Niko Mikkola (R)X100.0076616974848783724074708825706653527402832,000,000$
17Simon Benoit (R)X100.007861687584878075406765782573615142710252750,000$
18Jake Bean (R)X100.006040757381847068407773702569715918680262700,000$
Rayé
1Geoff PlattX100.0096675065692752967094924951939321547103821,000,000$
2Kirill Marchenko (R)X100.007045878086867380556479662581554949702233925,000$
3Yegor Chinakhov (R)X100.006540817586846870406863642571594936652233925,000$
4Nikita Soshnikov (R)X100.005540757275807365406360742566807021640301575,000$
5Tyler Graovac (R)X100.005126996679747760795964706882743518630313575,000$
6Kalle Kossila (R)X100.005441756870579468646761675079652921630313575,000$
7Joakim NordstromX100.006230996774708147774951847096923820620322700,000$
8Dwight KingX100.007060995583608050564749836999992421610342575,000$
9Antti Suomela (R)X100.006218997271667958745754636580743120610301575,000$
10Scott Sabourin (R)X100.007267996477636948576660564281733220600312575,000$
11Zach Senyshyn (R)X100.006561996276555747406457606273706321570272575,000$
12Glenn Gawdin (R)X100.005345656464656664586059502562545020572273762,500$
13Shane Bowers (R)X100.006040736664626361425854552560515021561243750,000$
14Pavol Regenda (R)X100.006441606071626262425757532560515020562243855,000$
15Lucas Carlsson (R)X100.006640667263646569407468802573755819670263700,000$
16Samuel Bolduc (R)X100.006440696773626266406360672564505019612233842,500$
17Vincent Iorio (R)X100.006840747065555663406252692562505020602213845,000$
18Simon Edvinsson (R)X100.006441636967555562406255672562505021592213925,000$
19Ronnie Attard (R)X100.00664566168636467406261692566525020532253883,750$
MOYENNE D’ÉQUIPE100.00695076697672736851686569367570513465
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
1Collin Delia (R)100.008376947985999898998251918328678703012,000,000$
2Daniil Tarasov (R)100.008074738576807877817630755851687602521,050,000$
Rayé
MOYENNE D’ÉQUIPE100.0082758482819088889079418371406882
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Cronin6874666565601USA5932,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’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
1Anthony DeAngeloDucks (ANA)D1121012-529151826261077.69%1626824.41145954000135100%037100.8900111000
2Mason McTavishDucks (ANA)C1156113115283139111912.82%1023921.772248450001371058.68%24284000.9200100200
3Travis BoydDucks (ANA)C11729-3155334039142317.95%724422.2750510470001360048.60%32156000.7300100020
4Andrei KuzmenkoDucksLW43582006152081815.00%59824.601239250000140032.35%3482001.6300000011
5Geoff PlattDucks (ANA)LW92571362020143211146.25%115817.650337330000111058.33%1282000.8800112000
6Marcus PetterssonDucks (ANA)D10066-2160262489110%1323423.47011147000034000%026000.5100000000
7Kirill MarchenkoDucks (ANA)RW933605515171561120.00%218020.01235348000180160.00%1031000.6700001010
8Carl GrundstromDucks (ANA)LW11235-623525161862411.11%318016.430221240001120150.00%1072000.5500001000
9Peyton KrebsDucks (ANA)C11145-739251222285123.57%614513.1801128000140045.92%9853000.6900023000
10Jake BeanDucks (ANA)D11134311551713237.69%1019617.8700007000016000%013000.4100001001
11Hudson FaschingDucks (ANA)RW11224-1001319199910.53%319317.60112140000010031.58%1963000.4100000000
12Niko MikkolaDucks (ANA)D11033-395182010340%1323421.34011131000026000%037000.2600100001
13Emil BemstromDucks (ANA)RW11213-455581882411.11%413412.2100005000010057.14%720000.4500010000
14Simon BenoitDucks (ANA)D10123-62220111197211.11%915815.8500041400007000%033000.3800112000
15Mario FerraroDucks (ANA)D8112-575161677314.29%1117922.43101332000026000%026000.2200100000
16Justin Bailey Ducks (ANA)LW210110001101100.00%0168.12000000000400100.00%200001.2300000000
17A.J. GreerDucks (ANA)LW7011-3559610360%0639.050000100001000%012000.3200010000
18Alexander TrueDucks (ANA)C11011-524201375630%0877.9200000000050058.33%3604000.2300121000
19Liam O'BrienDucks (ANA)LW11101-516102081041110.00%112811.64000030000140033.33%1211000.1600002000
20Yegor ChinakhovDucks (ANA)RW10101-6000515266.67%1676.77000000000010100.00%210000.3000000001
21Daniel CarrDucks (ANA)RW1000100020000%055.880000000000000%00000000000000
22Lucas CarlssonDucks (ANA)D4000000484220%47218.230000100007000%00400000000000
23Buddy RobinsonDucks (ANA)RW2000-300021200%0168.020000000000000%00000000000000
24Samuel BolducDucks (ANA)D1000-200223100%01515.700000000002000%00100000000000
Statistiques d’équipe totales ou en moyenne198355893-5527315529933735013621310.00%119332116.771320335947700063104251.06%8056967100.56008914244
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)114520.8833.4468000393321462000110100
Statistiques d’équipe totales ou en moyenne114520.8833.446800039332146200110100


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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
A.J. GreerDucks (ANA)LW271996-12-14 05:26:22Yes208 Lbs6 ft3NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Alexander TrueDucks (ANA)C261997-07-17 04:07:46Yes201 Lbs6 ft5NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Anthony DeAngeloDucks (ANA)D281995-10-24 05:28:36Yes180 Lbs5 ft11NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Antti SuomelaDucks (ANA)C301994-03-17 04:05:06Yes179 Lbs6 ft0NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Buddy RobinsonDucks (ANA)RW321991-09-30 14:12:29Yes231 Lbs6 ft6NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Carl GrundstromDucks (ANA)LW261997-12-01 04:49:55Yes195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Collin DeliaDucks (ANA)G301994-06-20 07:49:44Yes208 Lbs6 ft2NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Daniel CarrDucks (ANA)RW321991-10-31 07:15:35Yes194 Lbs6 ft0NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Daniil TarasovDucks (ANA)G251999-03-27 13:49:56Yes196 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,050,000$0$0$No1,050,000$--------No--------
Dwight KingDucks (ANA)RW341989-07-05 05:11:13No242 Lbs6 ft3NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Emil BemstromDucks (ANA)RW251999-06-01 03:32:38Yes195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Geoff PlattDucks (ANA)LW381985-07-10 11:11:13No188 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Glenn GawdinDucks (ANA)C271997-03-25 12:24:12Yes192 Lbs6 ft1NoNoN/ANoNo3Pro & Farm762,500$0$0$No762,500$762,500$-------NoNo-------
Hudson FaschingDucks (ANA)RW281995-07-28 10:55:45Yes204 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Jake BeanDucks (ANA)D261998-06-09 09:01:27Yes196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Joakim NordstromDucks (ANA)RW321992-02-25 05:11:13No194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Justin Bailey Ducks (ANA)LW281995-07-01 17:55:47Yes214 Lbs6 ft4NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Kalle KossilaDucks (ANA)LW311993-04-14 05:57:50Yes185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Kirill MarchenkoDucks (ANA)RW232000-07-21 08:20:24Yes197 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Liam O'BrienDucks (ANA)LW291994-07-29 14:15:17Yes213 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Lucas CarlssonDucks (ANA)D261997-07-05 03:25:45Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Marcus PetterssonDucks (ANA)D281996-05-08 06:03:21Yes177 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Mario FerraroDucks (ANA)D251998-09-17 03:20:21Yes209 Lbs6 ft0NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Mason McTavishDucks (ANA)C212003-01-30 08:23:08Yes213 Lbs6 ft0NoNoN/ANoNo3Pro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------
Nikita SoshnikovDucks (ANA)LW301993-10-14 07:27:33Yes190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Niko MikkolaDucks (ANA)D281996-04-27 03:14:07Yes209 Lbs6 ft4NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Pavol RegendaDucks (ANA)LW241999-12-07 03:18:35Yes212 Lbs6 ft4NoNoN/ANoNo3Pro & Farm855,000$0$0$No855,000$855,000$-------NoNo-------
Peyton KrebsDucks (ANA)C232001-01-26 13:53:15Yes187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------
Ronnie AttardDucks (ANA)D251999-03-20 08:25:33Yes207 Lbs6 ft3NoNoN/ANoNo3Pro & Farm883,750$0$0$No883,750$883,750$-------NoNo-------
Samuel BolducDucks (ANA)D232000-12-09 08:29:15Yes220 Lbs6 ft4NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------
Scott SabourinDucks (ANA)RW311992-07-30 10:26:50Yes207 Lbs6 ft3NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Shane BowersDucks (ANA)C241999-07-30 08:31:07Yes185 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Simon BenoitDucks (ANA)D251998-09-19 10:43:23Yes203 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Simon EdvinssonDucks (ANA)D212003-02-05 08:32:43Yes198 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Travis BoydDucks (ANA)C301993-09-14 07:33:39Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Tyler Graovac Ducks (ANA)C311993-04-26 20:00:54Yes207 Lbs6 ft5NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Vincent IorioDucks (ANA)D212002-11-14 08:34:41Yes192 Lbs6 ft2NoNoN/ANoNo3Pro & Farm845,000$0$0$No845,000$845,000$-------NoNo-------
Yegor ChinakhovDucks (ANA)RW232001-02-01 08:36:21Yes204 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Zach SenyshynDucks (ANA)RW271997-03-30 14:24:49Yes207 Lbs6 ft1NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3927.26200 Lbs6 ft22.38965,288$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carl GrundstromTravis BoydHudson Fasching35122
2A.J. GreerMason McTavishEmil Bemstrom35122
3Liam O'BrienPeyton KrebsBuddy Robinson25122
4Justin Bailey Alexander TrueDaniel Carr5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMario Ferraro35122
2Marcus PetterssonNiko Mikkola35122
3Simon BenoitJake Bean30122
4Anthony DeAngeloMario Ferraro0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carl GrundstromTravis BoydHudson Fasching60122
2A.J. GreerMason McTavishEmil Bemstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMario Ferraro60122
2Marcus PetterssonNiko Mikkola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Travis BoydMason McTavish60122
2Peyton KrebsHudson Fasching40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMario Ferraro60122
2Marcus PetterssonNiko Mikkola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Travis Boyd60122Anthony DeAngeloMario Ferraro60122
2Mason McTavish40122Marcus PetterssonNiko Mikkola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Travis BoydMason McTavish60122
2Peyton KrebsHudson Fasching40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMario Ferraro60122
2Marcus PetterssonNiko Mikkola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromTravis BoydHudson FaschingAnthony DeAngeloMario Ferraro
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromTravis BoydHudson FaschingAnthony DeAngeloMario Ferraro
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Liam O'Brien, Alexander True, Justin Bailey Liam O'Brien, Alexander TrueJustin Bailey
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Benoit, Jake Bean, Marcus PetterssonSimon BenoitJake Bean, Marcus Pettersson
Tirs de pénalité
Travis Boyd, Mason McTavish, Peyton Krebs, Hudson Fasching, Carl Grundstrom
Gardien
#1 : Collin Delia, #2 : Daniil Tarasov
Lignes d’attaque personnalisées en prolongation
Travis Boyd, Mason McTavish, Peyton Krebs, Hudson Fasching, Carl Grundstrom, Emil Bemstrom, Emil Bemstrom, A.J. Greer, Liam O'Brien, Alexander True, Justin Bailey
Lignes de défense personnalisées en prolongation
Anthony DeAngelo, Mario Ferraro, Marcus Pettersson, Niko Mikkola, Simon Benoit


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
1Kings404000001116-52020000068-22020000058-300.000112031008121411298412212321123407410921419.05%17194.12%017933054.24%14030146.51%9217452.87%24113624510319599
2Oilers7430000024231312000001114-343100000139480.5712438620081214122184122123212097919919043920.93%32584.38%017933054.24%14030146.51%9217452.87%24113624510319599
Total1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599
_Since Last GM Reset1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599
_Vs Conference1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599
_Vs Division1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
118L335589335033211927329900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
114700003539
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51400001722
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300001817
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641320.31%49687.76%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
8412212321812141
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
17933054.24%14030146.51%9217452.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
24113624510319599


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
28Ducks1Oilers2ALSommaire du match
416Ducks5Oilers4AWSommaire du match
624Oilers6Ducks7BWXSommaire du match
832Oilers2Ducks1BLXSommaire du match
1040Ducks3Oilers1AWSommaire du match
1248Oilers6Ducks3BLSommaire du match
1456Ducks4Oilers2AWSommaire du match
1660Ducks2Kings3ALXR5Sommaire du match
1864Ducks3Kings5ALSommaire du match
2068Kings3Ducks2BLR5Sommaire du match
2272Kings5Ducks4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 3000 - 100.00% 128,250$641,250$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,764,625$ 1,877,125$ 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$




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