Ducks

GP: 82 | W: 46 | L: 31 | OTL: 5 | P: 97
GF: 284 | GA: 247 | PP%: 27.67% | PK%: 76.21%
DG: Robert Breton | Morale : 66 | Moyenne d'Équipe : 71
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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 SP
1Elias LindholmXX99.007543918671849886928785744270708577770
2Patrik LaineXX100.007344858879759984367686548060617879730
3David PerronXX100.007343777873768179408388616579827976730
4Jordan StaalX100.008947847883798276977471782581857674730
5Tom WilsonX100.009799448184788868557584792568718067730
6Phillip DanaultXXX100.007754858173778465978570862563637574720
7Jean-Gabriel PageauXXX100.008144888065777668926770902567686969700
8Craig Smith (A)XXX100.007544917975699577436878575574767477690
9Jack Hughes (R)X100.007063858062708080737471585944447579660
10Milan LucicX100.009871697087659872546359612580866677660
11Riley NashXX100.007353917971589462576256768569706577660
12Trevor LewisXXX100.007757937476677363516456762573776677650
13Alexander EdlerX99.008846738079918087257158975181857670791
14Jack JohnsonX99.009357857682789959255247866281826577730
15Nick LeddyX100.007343928873849880256449726374786674730
16Deryk EngellandX100.008746916778809457255247932575786577720
17Scott MayfieldX100.008078767486778062255449872557576476700
18Mike GreenX100.007944818373847275256951632579836870690
Rayé
1Maxime LajoieX100.006742887768777570255254832550506548670
MOYENNE D'ÉQUIPE99.84805483797676877251686575437072717371
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 SP
1Jacob Markstrom100.00809086847882648182809264647977760
2Cal Petersen100.00727470708064666980724545457177670
Rayé
MOYENNE D'ÉQUIPE100.0076827877797365758176695555757772
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Murray81745567646067CAN641600,000$


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
1Elias LindholmDucksC/RW7940791197408815935611620411.24%31167521.21132639381680004785554.33%22976128011.42080001188
2Patrik LaineDucksLW/RW73425395244210102653599320711.70%25138218.93101727351411015772425.68%748616001.37031011235
3David PerronDucksLW/RW7942408264351227331410019313.38%44157919.99101525281590003818233.04%1156720021.0434001694
4Jordan StaalDucksC79273663332551231372005711513.50%32135117.116511191350001364257.85%11653425000.9304010517
5Phillip DanaultDucksC/LW/RW82214162341751081201865912211.29%36142017.323811101360005784058.69%2593820000.8702010244
6Tom WilsonDucksRW782031512116640180114166488212.05%43159620.474711914100041157146.92%1302933000.6415152033
7Craig SmithDucksC/LW/RW82181937-1208468212741748.49%18106713.020220310001221131.68%1615422000.6902000033
8Alexander EdlerDucksD7072633-283513312814639594.79%103180825.83448151621014126100.00%03463000.3700100111
9Nick LeddyDucksD828233111956010910139407.92%105176021.47426121440003141100.00%02553000.3500010001
10Jean-Gabriel PageauDucksC/LW/RW67141327-31358089134548910.45%3190013.451013221123912251.74%4602115000.6001010122
11Deryk EngellandDucksD8232023180841238840393.41%111167220.4012331080001171000.00%0563000.2700000102
12Jack JohnsonDucksD781212262201251189142431.10%86201525.8406671660112177000.00%01057000.2200000000
13Mike GreenDucksD82417212516051605212237.69%51116414.21101337000142000.00%0929000.3600000001
14Jack HughesDucksC5810818-11810333212753607.87%65659.75000030002472151.44%2082712000.6400110011
15Scott MayfieldDucksD821151624621072826526311.54%57120414.68011117000164000.00%0348000.2700011000
16Riley NashDucksC/RW829615-660577367294413.43%2695011.59000000000182042.50%40918000.3222000010
17Trevor LewisDucksC/LW/RW825914-40044597422356.76%177188.76000190000172035.00%1001710000.3900000000
18Milan LucicDucksLW82358-730088399237573.26%178159.94000030112471031.25%32159000.2000000001
19Maxime LajoieDucksD182352207161210416.67%719210.700000000004000.00%016000.5200000100
20Andrew PoturalskiRimouski Oceanic (ANA)C/LW/RW37314-36019193314239.09%53228.73000010000110032.35%3467000.2500000001
21Riley BarberRimouski Oceanic (ANA)C/LW/RW4022-175159420.00%2369.0800000000060033.33%301001.1000100000
22Connor CarrickRimouski Oceanic (ANA)D3000000001100.00%2165.560000000000000.00%101000.0000000000
23Andreas EnglundRimouski Oceanic (ANA)D4000000100100.00%0153.770000000000000.00%101000.0000000000
24Connor CliftonRimouski Oceanic (ANA)D4000000122100.00%1297.300000000000000.00%001000.0000000000
25Jordan NolanRimouski Oceanic (ANA)C/LW/RW11000-14011610270.00%1847.7000000000000033.33%622000.0000000000
26Ryan DmowskiRimouski Oceanic (ANA)LW2000-100200100.00%1157.530000000000000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne148228046874816458510516761696289797416539.67%8582436216.4457951521841593336421459421852.38%5086554560030.616315115403644
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
1Jacob MarkstromDucks62322730.9053.113700611922012924320.783236220555
2Cal PetersenDucks2214420.9292.2512550047665358020.77892062231
Stats d'équipe Total ou en Moyenne84463150.9112.8949566123926771282340.781328282786


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander EdlerDucksD321986-04-21No214 Lbs6 ft3NoNoNo2Pro & Farm6,000,000$6,000,000$41,958$No6,000,000$Lien
Cal PetersenDucksG231994-10-19No185 Lbs6 ft1NoNoNo3Pro & Farm858,333$858,333$6,002$No858,333$858,333$Lien
Craig SmithDucksC/LW/RW281989-09-05No208 Lbs6 ft1NoNoNo1Pro & Farm4,250,000$4,250,000$29,720$NoLien
David PerronDucksLW/RW301988-05-28No200 Lbs6 ft0NoNoNo3Pro & Farm4,000,000$4,000,000$27,972$No4,000,000$4,000,000$Lien
Deryk EngellandDucksD361982-04-03No214 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$4,895$NoLien
Elias LindholmDucksC/RW231994-12-02No192 Lbs6 ft1NoNoNo4Pro & Farm4,850,000$4,850,000$33,916$No4,850,000$4,850,000$4,850,000$Lien
Jack HughesDucksC172001-05-14 05:55:37Yes170 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$6,469$No925,000$925,000$
Jack JohnsonDucksD311987-01-12No227 Lbs6 ft1NoNoNo4Pro & Farm3,250,000$3,250,000$22,727$No3,250,000$3,250,000$3,250,000$Lien
Jacob MarkstromDucksG281990-01-31No196 Lbs6 ft6NoNoNo1Pro & Farm3,666,666$3,666,666$25,641$NoLien
Jean-Gabriel PageauDucksC/LW/RW251992-11-11No184 Lbs5 ft10NoNoNo6Pro & Farm3,100,000$3,100,000$21,678$No5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$Lien
Jordan StaalDucksC291988-09-10No220 Lbs6 ft4NoNoNo4Pro & Farm6,000,000$6,000,000$41,958$No6,000,000$6,000,000$6,000,000$Lien
Maxime LajoieDucksD201997-11-05No183 Lbs6 ft1NoNoNo2Pro & Farm790,000$790,000$5,524$No790,000$Lien
Mike GreenDucksD321985-10-11No207 Lbs5 ft11NoNoNo1Pro & Farm5,375,000$5,375,000$37,587$NoLien
Milan LucicDucksLW301988-06-06No236 Lbs6 ft3NoNoNo2Pro & Farm6,000,000$6,000,000$41,958$No6,000,000$Lien
Nick LeddyDucksD271991-03-20No204 Lbs6 ft0NoNoNo3Pro & Farm5,500,000$5,500,000$38,462$No5,500,000$5,500,000$Lien
Patrik LaineDucksLW/RW201998-04-19No206 Lbs6 ft5NoNoNo2Pro & Farm6,750,000$6,750,000$47,203$No6,750,000$Lien
Phillip DanaultDucksC/LW/RW251993-02-24No195 Lbs6 ft1YesNoNo2Pro & Farm3,083,333$3,083,333$21,562$No3,083,333$Lien
Riley NashDucksC/RW291989-05-09No190 Lbs6 ft1NoNoNo2Pro & Farm2,750,000$2,750,000$19,231$No2,750,000$Lien
Scott MayfieldDucksD251992-10-14No227 Lbs6 ft4NoNoNo4Pro & Farm1,400,000$1,400,000$9,790$No1,400,000$1,400,000$1,400,000$Lien
Tom WilsonDucksRW241994-03-29No218 Lbs6 ft4NoNoNo4Pro & Farm5,166,666$5,166,666$36,131$No5,166,666$5,166,666$5,166,666$Lien
Trevor LewisDucksC/LW/RW311987-01-07No205 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$2,000,000$13,986$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2126.90204 Lbs6 ft22.623,638,809$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
76,414,998$62,323,332$36,949,999$25,666,666$5,000,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David PerronJordan StaalElias Lindholm40122
2Patrik LainePhillip DanaultTom Wilson30122
3Craig SmithJean-Gabriel PageauRiley Nash20122
4Milan LucicJack HughesTrevor Lewis10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerJack Johnson40122
2Nick LeddyDeryk Engelland30122
3Scott MayfieldMike Green20122
4Alexander EdlerJack Johnson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Patrik LaineElias LindholmDavid Perron60122
2Phillip DanaultJordan StaalTom Wilson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerNick Leddy60122
2Jack JohnsonDeryk Engelland40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jean-Gabriel PageauTom Wilson60122
2Phillip DanaultDavid Perron40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott MayfieldJack Johnson60122
2Nick LeddyDeryk Engelland40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Phillip Danault60122Alexander EdlerJack Johnson60122
2Jean-Gabriel Pageau40122Nick LeddyDeryk Engelland40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Elias LindholmPatrik Laine60122
2Phillip DanaultDavid Perron40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerJack Johnson60122
2Nick LeddyDeryk Engelland40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Patrik LaineElias LindholmTom WilsonAlexander EdlerJack Johnson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Patrik LaineElias LindholmTom WilsonAlexander EdlerJack Johnson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jean-Gabriel Pageau, Craig Smith, Jack HughesJean-Gabriel Pageau, Craig SmithJack Hughes
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Scott Mayfield, Mike Green, Nick LeddyScott MayfieldMike Green, Nick Leddy
Tirs de Pénalité
Elias Lindholm, Tom Wilson, Patrik Laine, David Perron, Jordan Staal
Gardien
#1 : Jacob Markstrom, #2 : Cal Petersen
Lignes d'Attaque Perso. en Prol.
Elias Lindholm, Tom Wilson, Patrik Laine, David Perron, Jordan Staal, Phillip Danault, Phillip Danault, Jean-Gabriel Pageau, Craig Smith, Jack Hughes, Milan Lucic
Lignes de Défense Perso. en Prol.
Alexander Edler, Jack Johnson, Nick Leddy, Deryk Engelland, Scott Mayfield


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
LigueDomicileVisiteur
# 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
1Avalanche53100001201552100000176132100000139470.7002035550056911775856607147672910512433.33%12283.33%1989187052.89%1018192552.88%657125152.52%10659106459247
2Blackhawks210000101376110000008351000001054141.0001317300036316912342245824214911654.55%8275.00%0989187052.89%1018192552.88%657125152.52%452540203818
3Blues22000000936110000003121100000062441.00091625003240703020200417640500.00%30100.00%0989187052.89%1018192552.88%657125152.52%432537193818
4Bruins43100000141222110000089-12200000063360.750142236003740159615147013940347616743.75%70100.00%0989187052.89%1018192552.88%657125152.52%935777346835
5Canadiens2020000039-61010000024-21010000015-400.00035800012058221026065261031500.00%5180.00%0989187052.89%1018192552.88%657125152.52%382246173517
6Canucks211000005411010000013-21100000041320.5005813003020663119160551712365120.00%6183.33%0989187052.89%1018192552.88%657125152.52%432542173317
7Capitals54000001191362100000187133000000116590.9001937560036100177644666416862199914535.71%7271.43%0989187052.89%1018192552.88%657125152.52%10966111448442
8Devils412000101415-12010001047-321100000108240.500142337003642136404744111405033848112.50%14657.14%0989187052.89%1018192552.88%657125152.52%844888367235
9Flames21000100111011000010056-11100000064230.750111728002450711425311552119316116.67%7357.14%0989187052.89%1018192552.88%657125152.52%432541183618
10Flyers31200000810-2211000006601010000024-220.33381220101520842131320101201458300.00%70100.00%0989187052.89%1018192552.88%657125152.52%593164265527
11Golden Knights201000107701010000023-11000001054120.5007916003211763320236601423355120.00%4175.00%0989187052.89%1018192552.88%657125152.52%452540183820
12Golden Seals513010001216-431200000711-42010100055040.400122032005061158683455116363371056233.33%16568.75%1989187052.89%1018192552.88%657125152.52%10259109448742
13Islanders311010001213-1100010006512110000068-240.66712213300236111732354821103620569222.22%10280.00%0989187052.89%1018192552.88%657125152.52%623666265124
14Jets53200000191633210000011832110000088060.6001931500028901653965610168655611413215.38%12466.67%0989187052.89%1018192552.88%657125152.52%10459105468945
15Kings2020000057-21010000034-11010000023-100.0005712001220721528290701913446116.67%4175.00%0989187052.89%1018192552.88%657125152.52%442642163317
16Lightning2110000010461010000023-11100000081720.500101525003340912935270581517469333.33%6183.33%0989187052.89%1018192552.88%657125152.52%503134173417
17Maple Leafs21001000642110000002111000100043141.00068140005017724282418014840400.00%40100.00%0989187052.89%1018192552.88%657125152.52%472941193516
18Maroons2110000056-1110000003121010000025-320.50051015002210652223200751310395240.00%5180.00%0989187052.89%1018192552.88%657125152.52%422442173417
19Nordiques220000001055110000007341100000032141.000101929001450752623260711718407342.86%4250.00%0989187052.89%1018192552.88%657125152.52%462838173518
20Oilers421000011011-1210000015502110000056-150.625101929103340148524252512739228312433.33%11372.73%0989187052.89%1018192552.88%657125152.52%875184357234
21Panthers320000011046210000017341100000031250.8331015250104601143734423932520748225.00%50100.00%0989187052.89%1018192552.88%657125152.52%694262265226
22Penguins3210000015105110000007252110000088040.667152439003660100312940010135256010330.00%10640.00%0989187052.89%1018192552.88%657125152.52%663963255026
23Rangers2020000036-31010000012-11010000024-200.00035800012077251735072191845200.00%9277.78%0989187052.89%1018192552.88%657125152.52%422443173416
24Red Wings2020000058-31010000034-11010000024-200.0005914000230611518280592414435240.00%70100.00%0989187052.89%1018192552.88%657125152.52%422543173416
25Sabres3210000013103220000009541010000045-140.66713213400463010645362501013532644250.00%160100.00%1989187052.89%1018192552.88%657125152.52%623564275325
26Senateurs22000000826110000003121100000051441.00081321001520812433240752812394250.00%6183.33%0989187052.89%1018192552.88%657125152.52%392247163316
27Sharks3020001079-2100000104312020000036-320.333711181023111185524376111342551400.00%10460.00%0989187052.89%1018192552.88%657125152.52%653968265126
28Stars2020000058-31010000023-11010000035-200.000591410014060163014055161440500.00%7357.14%0989187052.89%1018192552.88%657125152.52%442539183517
Total823931031442842473741191401124139120194120170202014512718970.59128446875241611041129289796991299651268185859116762065727.67%2275476.21%3989187052.89%1018192552.88%657125152.52%1775103917437341448721
30Wild22000000633110000003121100000032141.00061016003120692819220631310493133.33%5180.00%0989187052.89%1018192552.88%657125152.52%392346173316
_Since Last GM Reset823931031442842473741191401124139120194120170202014512718970.59128446875241611041129289796991299651268185859116762065727.67%2275476.21%3989187052.89%1018192552.88%657125152.52%1775103917437341448721
_Vs Conference4820200203315415312389010237175-42512110101083785530.55215426341720345065716975944856024215705463469671163025.86%1273274.80%2989187052.89%1018192552.88%657125152.52%10286001030431852423
_Vs Division3217100101310898101675000135053-31610501000584513410.6411081872951024364641120382341385281052386230666812530.86%792272.15%2989187052.89%1018192552.88%657125152.52%688402684287567284

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8297L328446875228972681858591167641
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8239313144284247
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119141124139120
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4120172020145127
Derniers 10 Matchs
WLOTWOTL SOWSOL
450001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2065727.67%2275476.21%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
96991299651611041129
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
989187052.89%1018192552.88%657125152.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1775103917437341448721


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-10-049Ducks3Capitals2WSommaire du Match
2 - 2019-10-0519Ducks2Islanders6LSommaire du Match
3 - 2019-10-0630Jets4Ducks3LSommaire du Match
6 - 2019-10-0953Ducks1Sharks2LSommaire du Match
7 - 2019-10-1058Golden Seals5Ducks1LSommaire du Match
9 - 2019-10-1281Avalanche3Ducks2LXXSommaire du Match
11 - 2019-10-1499Devils1Ducks2WXXSommaire du Match
12 - 2019-10-15104Ducks6Avalanche3WSommaire du Match
14 - 2019-10-17123Ducks6Avalanche3WSommaire du Match
16 - 2019-10-19141Oilers2Ducks3WSommaire du Match
17 - 2019-10-20145Ducks1Oilers3LSommaire du Match
19 - 2019-10-22170Maroons1Ducks3WSommaire du Match
21 - 2019-10-24183Ducks3Bruins2WSommaire du Match
22 - 2019-10-25194Ducks5Capitals2WSommaire du Match
24 - 2019-10-27206Sabres2Ducks5WSommaire du Match
26 - 2019-10-29229Panthers0Ducks5WSommaire du Match
27 - 2019-10-30243Ducks3Capitals2WSommaire du Match
29 - 2019-11-01255Ducks1Avalanche3LSommaire du Match
31 - 2019-11-03270Sharks3Ducks4WXXSommaire du Match
33 - 2019-11-05289Panthers3Ducks2LXXSommaire du Match
35 - 2019-11-07298Ducks4Oilers3WSommaire du Match
36 - 2019-11-08316Canucks3Ducks1LSommaire du Match
38 - 2019-11-10335Ducks2Maroons5LSommaire du Match
40 - 2019-11-12346Islanders5Ducks6WXSommaire du Match
41 - 2019-11-13358Ducks2Golden Seals1WXSommaire du Match
43 - 2019-11-15377Blues1Ducks3WSommaire du Match
45 - 2019-11-17395Sabres3Ducks4WSommaire du Match
46 - 2019-11-18404Ducks5Senateurs1WSommaire du Match
49 - 2019-11-21426Ducks6Blues2WSommaire du Match
50 - 2019-11-22435Ducks3Golden Seals4LSommaire du Match
51 - 2019-11-23448Golden Knights3Ducks2LSommaire du Match
53 - 2019-11-25468Nordiques3Ducks7WSommaire du Match
55 - 2019-11-27480Ducks3Panthers1WSommaire du Match
57 - 2019-11-29496Maple Leafs1Ducks2WSommaire du Match
59 - 2019-12-01513Ducks5Golden Knights4WXXSommaire du Match
60 - 2019-12-02525Ducks4Maple Leafs3WXSommaire du Match
62 - 2019-12-04533Ducks1Jets4LSommaire du Match
63 - 2019-12-05540Red Wings4Ducks3LSommaire du Match
66 - 2019-12-08570Rangers2Ducks1LSommaire du Match
68 - 2019-12-10588Oilers3Ducks2LXXSommaire du Match
69 - 2019-12-11601Ducks3Bruins1WSommaire du Match
71 - 2019-12-13618Ducks2Red Wings4LSommaire du Match
72 - 2019-12-14628Blackhawks3Ducks8WSommaire du Match
73 - 2019-12-15638Ducks5Penguins1WSommaire du Match
75 - 2019-12-17657Jets2Ducks4WSommaire du Match
77 - 2019-12-19670Ducks4Devils5LSommaire du Match
79 - 2019-12-21688Devils6Ducks2LSommaire du Match
82 - 2019-12-24706Canadiens4Ducks2LSommaire du Match
84 - 2019-12-26726Ducks4Islanders2WSommaire du Match
85 - 2019-12-27740Ducks3Nordiques2WSommaire du Match
86 - 2019-12-28748Penguins2Ducks7WSommaire du Match
87 - 2019-12-29761Ducks7Jets4WSommaire du Match
90 - 2020-01-01779Jets2Ducks4WSommaire du Match
91 - 2020-01-02790Ducks6Flames4WSommaire du Match
93 - 2020-01-04810Stars3Ducks2LSommaire du Match
95 - 2020-01-06827Ducks4Canucks1WSommaire du Match
96 - 2020-01-07834Flyers1Ducks3WSommaire du Match
98 - 2020-01-09851Ducks3Penguins7LSommaire du Match
100 - 2020-01-11862Ducks3Wild2WSommaire du Match
102 - 2020-01-13874Golden Seals2Ducks3WSommaire du Match
105 - 2020-01-16899Senateurs1Ducks3WSommaire du Match
107 - 2020-01-18921Flames6Ducks5LXSommaire du Match
108 - 2020-01-19930Ducks2Kings3LSommaire du Match
110 - 2020-01-21942Ducks5Blackhawks4WXXSommaire du Match
111 - 2020-01-22954Ducks2Flyers4LSommaire du Match
112 - 2020-01-23962Kings4Ducks3LSommaire du Match
114 - 2020-01-25987Wild1Ducks3WSommaire du Match
115 - 2020-01-261000Ducks2Rangers4LSommaire du Match
117 - 2020-01-281017Flyers5Ducks3LSommaire du Match
120 - 2020-01-311036Ducks4Sabres5LSommaire du Match
121 - 2020-02-011049Bruins2Ducks4WSommaire du Match
122 - 2020-02-021056Ducks2Sharks4LSommaire du Match
124 - 2020-02-041075Ducks8Lightning1WSommaire du Match
126 - 2020-02-061085Golden Seals4Ducks3LSommaire du Match
128 - 2020-02-081108Avalanche3Ducks5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
130 - 2020-02-101128Capitals4Ducks3LXXSommaire du Match
131 - 2020-02-111139Ducks6Devils3WSommaire du Match
132 - 2020-02-121150Ducks3Stars5LSommaire du Match
134 - 2020-02-141168Capitals3Ducks5WSommaire du Match
137 - 2020-02-171195Lightning3Ducks2LSommaire du Match
139 - 2020-02-191208Ducks1Canadiens5LSommaire du Match
141 - 2020-02-211223Bruins7Ducks4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance194,732197,43878,470156,75630,974
Attendance PCT79.16%96.31%95.70%95.58%75.55%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 16058 - 89.21% 1,577,069$64,659,817$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
74,640,714$ 76,414,998$ 48,098,332$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
76,414,998$ 74,640,714$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 538,566$ 538,566$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
538,566$ 77,074,998$ 17,825,995$ 17,287,429$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
David PerronAGE:30PO:79OV:73
Patrik LaineAGE:20PO:78OV:73
Phillip DanaultAGE:25PO:75OV:72
Jean-Gabriel PageauAGE:25PO:69OV:70
Craig SmithAGE:28PO:74OV:69
Milan LucicAGE:30PO:66OV:66
Trevor LewisAGE:31PO:66OV:65
Andrew PoturalskiAGE:24PO:67OV:64
Riley BarberAGE:24PO:67OV:62
Jordan NolanAGE:29PO:64OV:62
Nick PaulAGE:23PO:61OV:59
Tyler SikuraAGE:26PO:60OV:58
*Ryan DmowskiAGE:21PO:57OV:55
Elias LindholmAGE:23PO:85OV:77
Jordan StaalAGE:29PO:76OV:73
Phillip DanaultAGE:25PO:75OV:72
Jean-Gabriel PageauAGE:25PO:69OV:70
Craig SmithAGE:28PO:74OV:69
*Jack HughesAGE:17PO:75OV:66
Riley NashAGE:29PO:65OV:66
Trevor LewisAGE:31PO:66OV:65
Andrew PoturalskiAGE:24PO:67OV:64
Riley BarberAGE:24PO:67OV:62
Jordan NolanAGE:29PO:64OV:62
Nick PaulAGE:23PO:61OV:59
Mark McNeillAGE:25PO:61OV:58
Tyler SikuraAGE:26PO:60OV:58
Ben SextonAGE:27PO:59OV:57
Ryan MacInnisAGE:22PO:56OV:56
Felix GirardAGE:24PO:54OV:56
Steven FogartyAGE:25PO:58OV:55
Reid DukeAGE:22PO:58OV:55
Jeremy GregoireAGE:22PO:56OV:55
Tim CliftonAGE:26PO:53OV:52
Grayson DowningAGE:26PO:52OV:52
Marco RoyAGE:23PO:52OV:51
Elias LindholmAGE:23PO:85OV:77
Tom WilsonAGE:24PO:80OV:73
David PerronAGE:30PO:79OV:73
Patrik LaineAGE:20PO:78OV:73
Phillip DanaultAGE:25PO:75OV:72
Jean-Gabriel PageauAGE:25PO:69OV:70
Craig SmithAGE:28PO:74OV:69
Riley NashAGE:29PO:65OV:66
Trevor LewisAGE:31PO:66OV:65
Andrew PoturalskiAGE:24PO:67OV:64
Riley BarberAGE:24PO:67OV:62
Jordan NolanAGE:29PO:64OV:62
Nicholas BaptisteAGE:22PO:63OV:60
Deven SideroffAGE:21PO:54OV:54

Défense #1Défense #2Gardien
Alexander EdlerAGE:32PO:76OV:79
Nick LeddyAGE:27PO:66OV:73
Jack JohnsonAGE:31PO:65OV:73
Deryk EngellandAGE:36PO:65OV:72
Scott MayfieldAGE:25PO:64OV:70
Mike GreenAGE:32PO:68OV:69
Maxime LajoieAGE:20PO:65OV:67
Connor CliftonAGE:23PO:59OV:65
Connor CarrickAGE:24PO:62OV:64
Taylor FedunAGE:30PO:61OV:63
Andreas EnglundAGE:22PO:54OV:60
Dan RenoufAGE:24PO:54OV:60
Mark AltAGE:26PO:54OV:58
Kyle CapobiancoAGE:20PO:59OV:57
Kyle BurroughsAGE:22PO:51OV:57
*William BorgenAGE:21PO:52OV:56
Jake CheliosAGE:27PO:52OV:56
Jacob MarkstromAGE:28PO:79OV:76
Cal PetersenAGE:23PO:71OV:67
Chris NellAGE:23PO:67OV:64
*Filip GustavssonAGE:20PO:51OV:53
*Tyler ParsonsAGE:20PO:50OV:51

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Aarne TalvitteDucks2017122
Beau StarrettDucks201487
Braden DoyleDucks2019169
Brandon DuhaimeDucks2016154
Bryan MooreDucks
CLIFFORD WATSONDucks2012169
David DrakeDucks2013181
Erik Walli-WalterholmDucks2017192
Grigori DenisenkoDucks201818
Ilya SorokinDucks201475
Jack RathboneDucks2017125
Jacob McGrewDucks2017162
Kelly SummersDucks2014195
MATTHEW BRADLEYDucks2015123
Marc-Olivier RoyDucks
Marcus SobergDucks2013165
Mason MillmanDucks2019155
Matt TomkinsDucks
Matthew CairnsDucks2016124
Mikkel AagaardDucks
Owen LindmarkDucks2019168
RYAN SHEADucks2015153
Shane EisermanDucks2014105
Simon KjellbergDucks2018198
Tomas MazuraDucks2019185
Tommy WingelsDucks

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
2020ANA NJD ANA ANA NJD ANA CAL ANA ANA VAN ANA
2021ANA ANA NJD ANA ANA ANA ANA ANA ANA
2022ANA ANA ANA ANA ANA ANA ANA ANA
2023ANA ANA ANA ANA ANA ANA ANA ANA
2024ANA ANA ANA ANA ANA ANA ANA ANA



[2019-11-30 11:57:34] - Jack Hughes was added to Ducks.
[2019-10-30 19:54:43] - Filip Gustavsson signed with Ducks for 500 000 $ for 1 year(s).
[2019-10-30 19:54:43] - Filip Gustavsson was added to Ducks.
[2019-10-29 19:12:36] - Tyler Parsons signed with Ducks for 500 000 $ for 1 year(s).
[2019-10-29 19:12:36] - Tyler Parsons was added to Ducks.
[2019-10-29 19:12:15] - Nick Paul signed with Ducks for 500 000 $ for 1 year(s).
[2019-10-29 19:12:15] - Nick Paul was added to Ducks.
[2019-10-08 18:44:45] - TRADE : From Canucks to Ducks : Ben Sexton (57), Chris Nell (64), Felix Girard (56), Grayson Downing (52), Jake Chelios (57), Tim Clifton (52), Y:2020-RND:7-VAN.
[2019-10-08 18:44:45] - TRADE : From Ducks to Canucks : Y:2020-RND:7-ANA.
[2019-09-23 15:09:50] - Rimouski Oceanic hired Chris Dennis for 60 000 $ for 1 year(s).
[2019-09-23 15:09:41] - Ducks hired Bob Murray for 600 000 $ for 1 year(s).



[2020-04-27 19:35:16] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-27 19:34:31] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-23 16:06:35] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-23 16:06:28] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-21 15:53:12] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-21 15:51:45] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-16 18:43:28] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-15 17:04:45] Rimouski Oceanic lines for next game are empty. Current rosters/lines are not erased.
[2020-04-14 17:33:51] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-14 17:27:08] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-13 16:26:38] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-13 16:24:50] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-11 10:12:19] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-11 10:10:11] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-08 17:06:17] Both Ducks and Rimouski Oceanic lines for next game are empty. Current rosters/lines are not erased.
[2020-04-06 17:04:53] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-06 17:04:53] Last 7 Days Pro Star : 1 - Evgeni Malkin of Golden Knights (4-4-8) / 2 - Elias Lindholm of Ducks (3-8-11) / 3 - Derek Stepan of Golden Knights (4-1-5)
[2020-04-06 17:00:38] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-03 21:46:50] Rimouski Oceanic lines for next game are empty. Current rosters/lines are not erased.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
20198239310314428424737411914011241391201941201702020145127189728446875241611041129289796991299651268185859116762065727.67%2275476.21%3989187052.89%1018192552.88%657125152.52%1775103917437341448721
Total Saison Régulière8239310314428424737411914011241391201941201702020145127189728446875241611041129289796991299651268185859116762065727.67%2275476.21%3989187052.89%1018192552.88%657125152.52%1775103917437341448721