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Connexion

Ducks
GP: 82 | W: 37 | L: 31 | OTL: 14 | P: 88
GF: 246 | GA: 256 | PP%: 19.35% | PK%: 84.64%
DG: Sébastien Charbonneau | Morale : 49 | Moyenne d’équipe : 66
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Centre de jeu
Ducks
37-31-14, 88pts
3
FINAL
6 Penguins
38-38-6, 82pts
Team Stats
L3SéquenceL1
18-17-6Fiche domicile17-22-2
19-14-8Fiche domicile21-16-4
4-6-0Derniers 10 matchs5-4-1
3.00Buts par match 2.93
3.12Buts contre par match 3.18
19.35%Pourcentage en avantage numérique16.92%
84.64%Pourcentage en désavantage numérique74.90%
Oilers
50-26-6, 106pts
3
FINAL
0 Ducks
37-31-14, 88pts
Team Stats
W10SéquenceL3
26-11-4Fiche domicile18-17-6
24-15-2Fiche domicile19-14-8
10-0-0Derniers 10 matchs4-6-0
3.49Buts par match 3.00
2.99Buts contre par match 3.12
21.76%Pourcentage en avantage numérique19.35%
82.53%Pourcentage en désavantage numérique84.64%
Meneurs d'équipe
Buts
Geoff Platt
32
Passes
Travis Boyd
50
Points
Mason McTavish
73
Plus/Moins
Travis Boyd
9
Victoires
Collin Delia
32
Pourcentage d’arrêts
Collin Delia
0.906

Statistiques d’équipe
Buts pour
246
3.00 GFG
Tirs pour
2659
32.43 Avg
Pourcentage en avantage numérique
19.4%
48 GF
Début de zone offensive
38.4%
Buts contre
256
3.12 GAA
Tirs contre
2589
31.57 Avg
Pourcentage en désavantage numérique
84.6%%
41 GA
Début de la zone défensive
38.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,944
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)X100.0069508079768786816877747125797664767203031,500,000$
2Mason McTavish (R)X100.007350727688867885677976672580594966722213894,167$
3Geoff PlattX100.0096675065702752967094924951939322577103821,000,000$
4Peyton Krebs (R)X100.007761708280848076707669712576615261700232863,333$
5Kirill Marchenko (R)X100.007045878086867380556479662581554954702233925,000$
6Carl Grundstrom (R)X100.008445877680818376406772692576715958690262700,000$
7Hudson Fasching (R)X100.0071408673828383754075716625748169566902821,000,000$
8Liam O'Brien (R)X100.008784567283838769506763702569847239680291750,000$
9Alexander True (R)X100.008588696877676869817468636076774564670263700,000$
10Yegor Chinakhov (R)X100.006540807586846870406864642571594945652233925,000$
11Marcus Pettersson (R)X100.0075616679758984774086738225747664747502811,250,000$
12Mario Ferraro (R)X100.0078458281848883754067678725756660627502533,000,000$
13Anthony DeAngelo (R)X100.0069616685739087864079767325847967387402833,000,000$
14Niko Mikkola (R)X100.0076616974848783724074708825706654527402832,000,000$
15Jake Bean (R)X100.006040757381847068407773702568706018680252700,000$
Rayé
1Emil Bemstrom (R)X93.226640927681828174507467662573665446680243800,000$
2A.J. Greer (R)X100.008283567385788572406665692571796748670273800,000$
3Daniel Carr (R)X100.005525996673657766656664676590824614640322575,000$
4Justin Bailey (R)X100.008183686678685364467369686378746311640282575,000$
5Nikita Soshnikov (R)X100.005540757275807365406360742566807018640301575,000$
6Buddy Robinson (R)X100.006546616582707064426967672587775317640322600,000$
7Tyler Graovac (R)X100.00512699667974776079596470688274358630313575,000$
8Kalle Kossila (R)X100.005441756870579468646761675079652918630313575,000$
9Joakim NordstromX100.006230996774708147774951847096923818620322700,000$
10Dwight KingX100.007060995583608050564749836999992418610342575,000$
11Antti Suomela (R)X100.006218997271667958745754636580743119610301575,000$
12Scott Sabourin (R)X100.007267996477636948576660564281733218600312575,000$
13Zach Senyshyn (R)X100.006561996276555747406457606273706320570272575,000$
14Glenn Gawdin (R)X100.005345656464656664586059502562545019572273762,500$
15Shane Bowers (R)X100.006040736664626361425854552560515020561243750,000$
16Pavol Regenda (R)X100.006441606071626262425757532560515019562243855,000$
17Simon Benoit (R)X99.177861687584878075406765782573615250710252750,000$
18Lucas Carlsson (R)X100.006640667263646569407468802572745819670263700,000$
19Samuel Bolduc (R)X100.006440696773626266406360672564505018612233842,500$
20Vincent Iorio (R)X100.006840747065555663406252692562505018602213845,000$
21Simon Edvinsson (R)X100.006441636967555562406255672562505020592213925,000$
22Ronnie Attard (R)X100.00664566168636467406261692566525019532253883,750$
MOYENNE D’ÉQUIPE99.78695076697672736851686569367569513565
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)100.008376947985999999998251918328688702912,000,000$
2Daniil Tarasov (R)100.008074738576807877817630755851697602521,050,000$
Rayé
MOYENNE D’ÉQUIPE100.0082758482819089889079418371406982
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
1Mason McTavishDucks (ANA)C82304373-870301732002849118210.56%37167220.39812203319000041923048.69%17624731020.87110213263
2Geoff PlattDucks (ANA)LW72323870023090198912455815113.06%24134018.61810183116200011044648.30%1764826011.0439459354
3Travis BoydDucks (ANA)C6514506492915108179191861207.33%39136521.00214163517200021693049.20%16873524000.94211021227
4Hudson FaschingDucks (ANA)RW73242549-323158182144479816.67%36127217.435611151590003185139.53%863122000.7701021307
5Carl GrundstromDucks (ANA)LW80202545-542401321241955410510.26%34140117.52156161341012852239.42%1042823000.6400251213
6Kirill MarchenkoDucks (ANA)RW7821214213420109991845610611.41%31144218.507613352090005473142.86%1053119100.5802022233
7Andrei KuzmenkoDucksLW63172340025253899181591179.39%21100615.97358181410000823037.91%1824916100.7918122303
8Peyton KrebsDucks (ANA)C52131730-78440958113734869.49%1678715.151346500112342249.04%6241914000.7602332400
9Anthony DeAngeloDucks (ANA)D8062329-141407010415315451833.90%86168521.07325161600005156100%06254000.3400176110
10Marcus PetterssonDucks (ANA)D8052227-201457513713910350474.85%105175922.00246101800002181100%03857000.3100429011
11Alexander TrueDucks (ANA)C82111425-168501208199306811.11%2085210.39000000000401054.47%481166000.5911721103
12Mario FerraroDucks (ANA)D80816249391513015410440487.69%117185723.21538222110111213110%02566100.2600300210
13Emil BemstromDucks (ANA)RW70101222-1200487014353826.99%1895313.620000301013350354.72%532912000.4600000121
14A.J. GreerDucks (ANA)LW6791019111355122659232539.78%1779411.860000190002250130.91%551418000.4800353111
15Liam O'BrienDucks (ANA)LW7111718-56125894370203515.71%196839.630000100001161036.36%33511000.5301212011
16Yegor ChinakhovDucks (ANA)RW718101804026418821539.09%116368.9600000000030221.43%1467000.5700000011
17Niko MikkolaDucks (ANA)D8211415-993351021337635381.32%87145617.76011474011063000%02248000.2100124010
18Simon BenoitDucks (ANA)D82112131814589907130261.41%75130115.8710117000253000%01340000.2001216000
19Jake BeanDucks (ANA)D30167-710026242713143.70%2550316.7800004000144000%11518000.2800000001
20Daniel CarrDucks (ANA)RW35314-4003162141514.29%52487.1100001000001020.00%502000.3211000100
21Justin Bailey Ducks (ANA)LW9134-60011560416.67%0556.140111100003000%232001.4500000000
22Tyler Graovac Ducks (ANA)C42022-600819113120%53047.24000010000210052.48%10114000.1301000000
23Antti SuomelaDucks (ANA)C5011000174100%0346.9800000000010087.50%801000.5700000000
24Kalle KossilaDucks (ANA)LW1000000100000%011.200000000000000%00000000000000
25Nikita SoshnikovDucks (ANA)LW1000000000000%000.130000000000000%00000000000000
26Lucas CarlssonDucks (ANA)D2000240142120%53115.790000000000000%00000000000000
27Buddy RobinsonDucks (ANA)RW2000100010000%1136.63000000000000100.00%10000000000000
28Samuel BolducDucks (ANA)D1000-100402100%11414.170000200000000%00000000000000
29Vincent IorioDucks (ANA)D1000-100010000%01818.880000000005000%00200000000000
Statistiques d’équipe totales ou en moyenne1459246395641-85129564519562001263487015459.34%8352349416.1046721182431927235361602311948.41%5480537523330.55948354252282639
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)753228130.9062.924414822152281882510.71138757775
2Daniil TarasovDucks (ANA)135310.8963.295840032307155100.7508775010
Statistiques d’équipe totales ou en moyenne883731140.9052.974999822472588103761468282785


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)G291994-06-20 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 Bemstrom (sur la masse salariale)Ducks (ANA)RW241999-06-01 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)D251998-06-09 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$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3927.18200 Lbs6 ft22.38965,288$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason McTavishKirill Marchenko35122
2Geoff PlattTravis BoydHudson Fasching35122
3Carl GrundstromPeyton Krebs25122
4Liam O'BrienAlexander TrueYegor Chinakhov5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMarcus Pettersson35122
2Mario FerraroNiko Mikkola35122
3Jake Bean30122
4Anthony DeAngeloMarcus Pettersson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason McTavishKirill Marchenko60122
2Geoff PlattTravis BoydHudson Fasching40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMarcus Pettersson60122
2Mario FerraroNiko Mikkola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mason McTavish60122
2Travis BoydGeoff Platt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMarcus Pettersson60122
2Mario FerraroNiko Mikkola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Anthony DeAngeloMarcus Pettersson60122
2Mason McTavish40122Mario FerraroNiko Mikkola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mason McTavish60122
2Travis BoydGeoff Platt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloMarcus Pettersson60122
2Mario FerraroNiko Mikkola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason McTavishKirill MarchenkoAnthony DeAngeloMarcus Pettersson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason McTavishKirill MarchenkoAnthony DeAngeloMarcus Pettersson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Peyton Krebs, Carl Grundstrom, Liam O'BrienPeyton Krebs, Carl GrundstromLiam O'Brien
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jake Bean, Mario FerraroJake Bean, Mario Ferraro
Tirs de pénalité
, Mason McTavish, Travis Boyd, Geoff Platt, Peyton Krebs
Gardien
#1 : Daniil Tarasov, #2 : Collin Delia
Lignes d’attaque personnalisées en prolongation
, Mason McTavish, Travis Boyd, Geoff Platt, Peyton Krebs, Kirill Marchenko, Kirill Marchenko, Hudson Fasching, Carl Grundstrom, Liam O'Brien,
Lignes de défense personnalisées en prolongation
Anthony DeAngelo, Marcus Pettersson, Mario Ferraro, Niko Mikkola,


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
1Avalanche31101000871201010005501100000032140.66781523006186891310583091288675823134821400.00%7185.71%01025207249.47%997208447.84%620123350.28%1766102118117421428709
2Blackhawks320000101275110000004222100001085361.0001220320061868913958309128867510935557110220.00%10280.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
3Blues320001001091110000005412100010055050.83310172700618689138183091288675873348817457.14%14285.71%01025207249.47%997208447.84%620123350.28%1766102118117421428709
4Bruins30102000981201010006601000100032140.6679162500618689131048309128867592365478400.00%12283.33%01025207249.47%997208447.84%620123350.28%1766102118117421428709
5Canadiens403010001319-61000100043130300000916-720.2501320330061868913139830912886751373950108200.00%10370.00%11025207249.47%997208447.84%620123350.28%1766102118117421428709
6Canucks5110101116142301010108712100000187170.700162743006186891317083091288675160468711717317.65%16287.50%01025207249.47%997208447.84%620123350.28%1766102118117421428709
7Capitals41100002141401000000123-1311000011211140.500142741106186891313783091288675127422110411327.27%30100.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
8Devils3110000110911000000123-12110000086230.5001015250061868913115830912886758442768600.00%10100.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
9Flames54100000191093210000011832200000082680.8001934530161868913141830912886751414816612830826.67%23482.61%01025207249.47%997208447.84%620123350.28%1766102118117421428709
10Flyers30200001814-61010000026-42010000168-210.16781321006186891397830912886751023345686233.33%5260.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
11Islanders321000007611010000014-32200000062440.667713200161868913104830912886751023210716116.67%50100.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
12Kings513001001321-831200000913-42010010048-430.3001322350061868913140830912886751475515813617317.65%34682.35%01025207249.47%997208447.84%620123350.28%1766102118117421428709
13Maple Leafs4110011010913010011067-11100000042250.625101626006186891313183091288675148512490600.00%7271.43%01025207249.47%997208447.84%620123350.28%1766102118117421428709
14Oilers523000001315-22020000015-4321000001210240.4001321340061868913163830912886751614616717127414.81%29486.21%01025207249.47%997208447.84%620123350.28%1766102118117421428709
15Penguins30100101611-51000000112-12010010059-420.33369150061868913110830912886751004117642150.00%60100.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
16Predators30200100812-42020000058-31000010034-110.167813210061868913100830912886758829667010220.00%13284.62%01025207249.47%997208447.84%620123350.28%1766102118117421428709
17Rangers3120000013121211000008621010000056-120.333132336006186891311183091288675953142537342.86%6183.33%01025207249.47%997208447.84%620123350.28%1766102118117421428709
18Red Wings30100101715-820100001512-71000010023-120.33371118006186891398830912886751024110626350.00%5260.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
19Sabres321000001284110000003212110000096340.66712213300618689139283091288675111452374600.00%40100.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
20Senateurs321000008802110000056-11100000032140.6678132100618689139183091288675882835767228.57%10190.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
21Sharks52200010121202100001052331200000710-360.6001218300061868913152830912886751434714713426415.38%26388.46%01025207249.47%997208447.84%620123350.28%1766102118117421428709
22Stars32000010945210000105231100000042261.0009142300618689139683091288675942433631317.69%10190.00%01025207249.47%997208447.84%620123350.28%1766102118117421428709
23Wild30200001912-320100001810-21010000012-110.1679172600618689138783091288675893735548225.00%11190.91%11025207249.47%997208447.84%620123350.28%1766102118117421428709
Total82273105658246256-1041101704145111126-15411714015131351305880.53724641566112618689132659830912886752589892133420232484819.35%2674184.64%21025207249.47%997208447.84%620123350.28%1766102118117421428709
_Since Last GM Reset82273105658246256-1041101704145111126-15411714015131351305880.53724641566112618689132659830912886752589892133420232484819.35%2674184.64%21025207249.47%997208447.84%620123350.28%1766102118117421428709
_Vs Conference431715023421291236237100203166660201050031163576510.5931292183470161868913133083091288675130143199611071793318.44%1932885.49%11025207249.47%997208447.84%620123350.28%1766102118117421428709
_Vs Division25101001121737211346010203435-112640010139372280.560731221950161868913766830912886757522427256861172218.80%1281985.16%01025207249.47%997208447.84%620123350.28%1766102118117421428709

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8288L3246415661265925898921334202312
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227315658246256
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4110174145111126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117141513135130
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2484819.35%2674184.64%2
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
8309128867561868913
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
1025207249.47%997208447.84%620123350.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1766102118117421428709


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
11Ducks4Canadiens7ALSommaire du match
316Ducks2Oilers4ALSommaire du match
422Kings2Ducks4BWR5Sommaire du match
742Canucks2Ducks3BWXSommaire du match
955Bruins3Ducks2BLSommaire du match
1164Ducks5Flames0AWR5Sommaire du match
1372Ducks3Sharks2AWR5Sommaire du match
1476Ducks5Capitals1AWSommaire du match
1790Flames3Ducks7BWR5Sommaire du match
20105Ducks5Oilers3AWSommaire du match
23117Maple Leafs1Ducks0BLSommaire du match
25132Sharks1Ducks2BWXXR5Sommaire du match
27145Ducks4Islanders2AWSommaire du match
29153Ducks5Canucks3AWR2Sommaire du match
31165Red Wings4Ducks3BLXXSommaire du match
33178Ducks2Capitals4ALSommaire du match
35187Rangers2Ducks5BWSommaire du match
39201Ducks3Canucks4ALXXR2Sommaire du match
41212Ducks4Maple Leafs2AWSommaire du match
42219Blackhawks2Ducks4BWSommaire du match
45236Capitals3Ducks2BLXXSommaire du match
49257Sharks1Ducks3BWR5Sommaire du match
51268Ducks5Capitals6ALXXSommaire du match
52276Canucks2Ducks3BWXXR2Sommaire du match
55288Ducks2Islanders0AWSommaire du match
57301Ducks3Bruins2AWXSommaire du match
58309Senateurs2Ducks3BWSommaire du match
61327Predators5Ducks3BLSommaire du match
63335Ducks3Predators4ALXSommaire du match
66349Flames1Ducks2BWR5Sommaire du match
69364Ducks4Stars2AWSommaire du match
71377Senateurs4Ducks2BLSommaire du match
73386Ducks4Blackhawks2AWSommaire du match
75397Ducks2Blues3ALXSommaire du match
77402Flames4Ducks2BLR5Sommaire du match
81417Ducks3Flames2AWSommaire du match
82427Flyers6Ducks2BLSommaire du match
85441Ducks5Oilers3AWSommaire du match
86449Avalanche2Ducks1BLR2Sommaire du match
89460Ducks4Canadiens7ALSommaire du match
92473Rangers4Ducks3BLSommaire du match
97496Canucks3Ducks2BLR2Sommaire du match
99508Ducks1Canadiens2ALSommaire du match
100518Kings7Ducks4BLR5Sommaire du match
103535Ducks4Blackhawks3AWXXSommaire du match
105543Sabres2Ducks3BWSommaire du match
107551Ducks6Devils3AWSommaire du match
110568Penguins2Ducks1BLXXSommaire du match
112576Ducks5Rangers6ALSommaire du match
115590Predators3Ducks2BLSommaire du match
117598Ducks2Devils3ALSommaire du match
120615Maple Leafs4Ducks3BLXSommaire du match
122627Ducks3Kings4ALXR5Sommaire du match
124636Bruins3Ducks4BWXSommaire du match
125646Ducks3Sabres5ALSommaire du match
128660Ducks1Wild2ALR2Sommaire du match
129668Devils3Ducks2BLXXSommaire du match
133682Ducks3Avalanche2AWR2Sommaire du match
135690Maple Leafs2Ducks3BWXXSommaire du match
137704Ducks1Kings4ALR5Sommaire du match
139712Canadiens3Ducks4BWXSommaire du match
141723Ducks3Flyers4ALXXSommaire du match
142733Ducks3Senateurs2AWSommaire du match
144739Blues4Ducks5BWSommaire du match
148761Red Wings8Ducks2BLSommaire du match
151775Ducks3Blues2AWSommaire du match
152785Kings4Ducks1BLR5Sommaire du match
156806Islanders4Ducks1BLSommaire du match
158818Ducks3Flyers4ALSommaire du match
160831Ducks2Red Wings3ALXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161835Wild4Ducks3BLXXR2Sommaire du match
163847Ducks2Penguins3ALXSommaire du match
164855Stars1Ducks2BWXXSommaire du match
167866Ducks2Sharks4ALR5Sommaire du match
169882Stars1Ducks3BWSommaire du match
170888Ducks2Sharks4ALR5Sommaire du match
173907Avalanche3Ducks4BWXSommaire du match
176923Oilers2Ducks1BLSommaire du match
180936Ducks6Sabres1AWSommaire du match
183951Wild6Ducks5BLR2Sommaire du match
184959Ducks3Penguins6ALSommaire du match
191978Oilers3Ducks0BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance80,42440,276
Assistance PCT98.08%98.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2944 - 98.13% 125,838$5,159,347$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
5,942,022$ 3,684,625$ 1,877,125$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,942,045$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 29,454$ 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