Ducks

GP: 62 | W: 30 | L: 27 | OTL: 5 | P: 65
GF: 143 | GA: 143 | PP%: 13.36% | PK%: 80.00%
DG: Louis Massicotte | Morale : 50 | Moyenne d'Équipe : 80
Prochain matchs #768 vs Blues
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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
1Eric StaalX100.006143808882889894837387728493774866900
2Sean CouturierX100.006742939081969890838182797869648365880
3William KarlssonXX100.006141879170909789837488818360626865860
4Jonathan MarchessaultXX100.006843819357889493738480687358563665850
5Mitchell MarnerXX100.006041859164859885839084627156538965850
6Artemi PanarinX100.005742889460939886508679647359553765840
7Jack EichelX100.006442878977938488718381657758569165840
8Riley NashXX100.006941868170839577806768846966696665760
9Mikael BacklundX100.006246718473919975937065796871616665750
10Carl HagelinX100.007242848065849874656160776769623965730
11Ty RattieX100.005942737970738477506070606451517465720
12Tyler EnnisX100.006441828653799474565659756869606565710
13Ryan SuterX100.006743928379999885308258896789845265830
14Mark GiordanoX100.006844877971969980306464927380722365800
15Ron HainseyX100.006942907179899669306054886689753865780
16Dan HamhuisX100.006842887075869677306153836591734168770
17Josh MansonX100.008045797081869878307058896660594265770
18Derek ForbortX100.007744837184879565305951856356578065740
Rayé
MOYENNE D'ÉQUIPE100.00664384837288968158716977716964586580
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
1Tuukka Rask100.00859191738988919090858283846465840
2James Reimer100.00798593868284838481777772764965800
Rayé
MOYENNE D'ÉQUIPE100.0082889280868687878681807880576582
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz73848885927460CAN5534,000,000$


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'ÉquipePOS GP 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
1Eric StaalDucksC62183957-2335105108248721477.26%41138522.35520252724700041171354.40%19435217000.82312001418
2Jonathan MarchessaultDucksC/RW62222648-824010552246761488.94%15126620.42101121432510003502246.59%887423100.7614000322
3William KarlssonDucksC/LW62222143-51406063239751399.21%35134521.715611312511016525052.45%1436526100.64410000123
4Mitchell MarnerDucksC/RW62121931-3420645614641948.22%20109317.644269188000002042.67%755717000.5700000103
5Artemi PanarinDucksLW62111829-3100585915247987.24%13106217.1324691851011281235.71%427420000.5500000034
6Sean CouturierDucksC62151126-8608594108257413.89%21108917.58257613100051302447.79%7452219000.48412000212
7Ryan SuterDucksD6241620060881009531434.21%85172327.80448192730002133200.00%02348000.2300000011
8Jack EichelDucksC6241519-6605552139641092.88%2186313.930111740000141143.69%5634310000.4412000013
9Mark GiordanoDucksD6231417-116092898429363.57%96159425.71235152730000129300.00%02248000.2100000010
10Mikael BacklundDucksC6278152180423811038706.36%85478.84000040113452148.61%216198000.5500000121
11Riley NashDucksC/RW627512-26058507815468.97%1871011.47000110000001135.71%141710000.3400000121
12Ty RattieDucksRW624590160262010022644.00%94847.8100012000000033.33%15281000.3700000000
13Carl HagelinDucksLW62347-216069367420384.05%1771611.5600006000010057.14%211012000.2000000020
14Dan HamhuisDucksD62167-417562626121241.64%74127020.500002175000077000.00%0726000.1111100010
15Ron HainseyDucksD62167-410071845916241.69%81136922.091017172011080100.00%0352000.1000000000
16Tyler EnnisDucksLW6214528039324517182.22%104897.9000000000000037.50%8129000.2000000000
17Derek ForbortDucksD62123-68048412411154.17%3679412.8100005000018000.00%0233000.0800000000
18Josh MansonDucksD62033-618060454213160.00%2775712.220000200001000.00%0422000.0800000000
Stats d'équipe Total ou en Moyenne1116136222358-562741011871081205063312036.63%6271856516.64355691171225722424882231450.40%3873534401200.391441101131928
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
1Tuukka RaskDucks62302750.9332.153712431331979869220.707416201464
2James ReimerDucks20000.9212.86630033822000.0000062000
Stats d'équipe Total ou en Moyenne64302750.9332.163776431362017891220.7074162621464


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Artemi PanarinDucksLW251991-10-30No168 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm6,000,000$6,000,000$1,462,185$NoLien
Carl HagelinDucksLW291988-08-23No186 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm4,000,000$4,000,000$974,790$NoLien
Dan HamhuisDucksD341982-12-13No204 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$487,395$NoLien
Derek ForbortDucksD251992-03-04No215 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm2,525,000$2,525,000$615,336$NoLien
Eric StaalDucksC321984-10-29No209 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$852,941$NoLien
Jack EichelDucksC201996-10-28No206 Lbs6 ft2NoNoNo7Contrat d'EntréePro & Farm10,000,000$10,000,000$2,436,975$NoLien
James ReimerDucksG291988-03-15No217 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm3,400,000$3,400,000$828,571$NoLien
Jonathan MarchessaultDucksC/RW261990-12-27No174 Lbs5 ft9NoNoNo6Contrat d'EntréePro & Farm5,000,000$5,000,000$1,218,487$NoLien
Josh MansonDucksD251991-10-07No213 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm4,100,000$4,100,000$999,160$NoLien
Mark GiordanoDucksD331983-10-03No198 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm6,750,000$6,750,000$1,644,958$NoLien
Mikael BacklundDucksC281989-03-17No199 Lbs6 ft1NoNoNo6Sans RestrictionPro & Farm5,350,000$5,350,000$1,303,782$NoLien
Mitchell MarnerDucksC/RW201997-05-05No175 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm894,166$894,166$217,906$NoLien
Riley NashDucksC/RW281989-05-09No190 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm2,750,000$2,750,000$670,168$NoLien
Ron HainseyDucksD361981-03-24No205 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,000,000$3,000,000$731,092$NoLien
Ryan SuterDucksD321985-01-21No202 Lbs6 ft2NoNoNo7Sans RestrictionPro & Farm7,538,462$7,538,462$1,837,104$NoLien
Sean CouturierDucksC241992-12-07No211 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm4,333,333$4,333,333$1,056,022$NoLien
Tuukka RaskDucksG301987-03-10No176 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm7,000,000$7,000,000$1,705,882$NoLien
Ty RattieDucksRW241993-02-05No184 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm800,000$800,000$194,958$NoLien
Tyler EnnisDucksLW271989-10-06No161 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm750,000$750,000$182,773$NoLien
William KarlssonDucksC/LW241993-01-08No189 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm5,250,000$5,250,000$1,279,412$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2027.55194 Lbs6 ft12.954,247,048$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
84,940,961$60,746,795$56,221,795$43,071,795$27,888,462$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1William KarlssonJack EichelMitchell Marner40014
2Artemi PanarinSean CouturierJonathan Marchessault35014
3Carl HagelinEric StaalRiley Nash20014
4Tyler EnnisMikael BacklundTy Rattie5014
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterRon Hainsey40014
2Mark GiordanoDan Hamhuis30014
3Josh MansonDerek Forbort20014
4Ryan SuterRon Hainsey10014
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1William KarlssonJack EichelMitchell Marner60014
2Artemi PanarinEric StaalJonathan Marchessault40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterMark Giordano60014
2Mark GiordanoDan Hamhuis40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Eric StaalSean Couturier60050
2William KarlssonJonathan Marchessault40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterMark Giordano60050
2Ron HainseyDan Hamhuis40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Eric Staal60050Ryan SuterMark Giordano60050
2Sean Couturier40050Ron HainseyDan Hamhuis40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Eric StaalSean Couturier60023
2William KarlssonJonathan Marchessault40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterMark Giordano60023
2Ron HainseyDan Hamhuis40023
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
William KarlssonJack EichelJonathan MarchessaultRyan SuterMark Giordano
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
William KarlssonEric StaalJonathan MarchessaultRyan SuterMark Giordano
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Eichel, Sean Couturier, Eric StaalEric Staal, Jack EichelMikael Backlund
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Suter, Mark Giordano, Ron HainseyRyan SuterRyan Suter, Ron Hainsey
Tirs de Pénalité
Eric Staal, Sean Couturier, William Karlsson, Jonathan Marchessault, Jack Eichel
Gardien
#1 : Tuukka Rask, #2 : James Reimer


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
1Avalanche2020000026-41010000002-21010000024-200.0002461001106621311407423436500.00%20100.00%0787154550.94%744149449.80%42179952.69%462942163015
2Blackhawks22000000927220000009270000000000041.00091726006120873224310691943712325.00%20100.00%0787154550.94%744149449.80%42179952.69%482938163318
3Blue Jackets1010000013-2000000000001010000013-200.00012300010039135210275419300.00%2150.00%0787154550.94%744149449.80%42179952.69%2315188178
4Blues21000001523210000015230000000000030.750581301212066213015264208291218.33%40100.00%0787154550.94%744149449.80%42179952.69%503038183518
5Bruins210000018801000000145-11100000043130.75081422000441761926313702410268112.50%5180.00%0787154550.94%744149449.80%42179952.69%462942173517
6Canadiens2010000146-21010000023-11000000123-110.250481200103066231627471214349111.11%20100.00%0787154550.94%744149449.80%42179952.69%493140173518
7Devils20200000310-71010000006-61010000034-100.00036900012071212822077291432900.00%20100.00%0787154550.94%744149449.80%42179952.69%452742163217
8Flames31100010642210000105231010000012-140.6676814002123963224386812110651218.33%50100.00%0787154550.94%744149449.80%42179952.69%683860285628
9Flyers211000005411010000012-11100000042220.5005914001400641923220572344210110.00%20100.00%0787154550.94%744149449.80%42179952.69%493036163318
10Golden Knights632000101477321000008353110001064280.6671424380116611926659664157492613321523.81%13284.62%0787154550.94%744149449.80%42179952.69%144871165410351
11Islanders3020000137-42010000125-31010000012-110.16735800021192292736573174671417.14%20100.00%0787154550.94%744149449.80%42179952.69%744654275629
12Jets5320000011110321000007612110000045-160.600111627002720164515162017265281102129.52%14378.57%2787154550.94%744149449.80%42179952.69%11771100388245
13Kings6030201016160301020009813020001078-160.500162036002654201548657921878389931516.13%19384.21%0787154550.94%744149449.80%42179952.69%133761305310354
14Lightning321000005411010000023-12200000031240.66751015011220100294031083286541218.33%3166.67%0787154550.94%744149449.80%42179952.69%744755245026
15Maple Leafs201000105501010000023-11000001032120.5005712002111772717279592416359222.22%8275.00%0787154550.94%744149449.80%42179952.69%483143183214
16Oilers531000101614222000000422311000101212080.800162238002581135454545317047309718527.78%15660.00%0787154550.94%744149449.80%42179952.69%11064108418644
17Panthers2010000147-31000000123-11010000024-210.250481210202065341813365152411218.33%10100.00%0787154550.94%744149449.80%42179952.69%472839183719
18Penguins1010000012-11010000012-10000000000000.000112001000321391002072216116.67%110.00%0787154550.94%744149449.80%42179952.69%2617178167
19Predateurs321000006511010000013-22200000052340.66768140005109533451701273985310110.00%40100.00%0787154550.94%744149449.80%42179952.69%663963245027
20Senateurs2110000034-11010000013-21100000021120.500358001110581718230681412401119.09%6350.00%0787154550.94%744149449.80%42179952.69%472840153218
21Sharks3020001057-2100000102112020000036-320.33357120001311022932395111232863900.00%14285.71%0787154550.94%744149449.80%42179952.69%684064265125
22Stars311000101192100000106512110000054140.66711132400433210654312121063616548225.00%9277.78%0787154550.94%744149449.80%42179952.69%734559265226
Total6221270207514314303210130203473712301114000417072-2650.5241432223652330535115205068268566855201962727811872623513.36%1352780.00%2787154550.94%744149449.80%42179952.69%146188712545341065554
_Since Last GM Reset6221270207514314303210130203473712301114000417072-2650.5241432223652330535115205068268566855201962727811872623513.36%1352780.00%2787154550.94%744149449.80%42179952.69%146188712545341065554
_Vs Conference401615020611018318211050203156362019610000304547-2490.613101147248122137351213104384584053113494202007761592515.72%1011882.18%2787154550.94%744149449.80%42179952.69%928555823344686356
_Vs Division237902050574891152020202816121227000302932-3280.609578113801719241072622624624527737218132457911617.58%661380.30%0787154550.94%744149449.80%42179952.69%525307480204401205

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6265W114322236520502019627278118723
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6221272075143143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32101320347371
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
30111400417072
Derniers 10 Matchs
WLOTWOTL SOWSOL
540010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2623513.36%1352780.00%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
6826856685530535115
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
787154550.94%744149449.80%42179952.69%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
146188712545341065554


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
4 - 2018-10-1213Golden Knights0Ducks4WSommaire du Match
6 - 2018-10-1426Sharks1Ducks2WXXSommaire du Match
8 - 2018-10-1635Ducks1Flames2LSommaire du Match
11 - 2018-10-1949Flames1Ducks3WSommaire du Match
15 - 2018-10-2366Ducks1Sharks3LSommaire du Match
18 - 2018-10-2675Kings2Ducks3WXSommaire du Match
20 - 2018-10-2884Ducks1Kings2LSommaire du Match
23 - 2018-10-3199Oilers1Ducks2WSommaire du Match
26 - 2018-11-03113Ducks4Oilers6LSommaire du Match
29 - 2018-11-06123Jets1Ducks3WSommaire du Match
31 - 2018-11-08132Ducks2Golden Knights1WXXSommaire du Match
34 - 2018-11-11145Blues2Ducks1LXXSommaire du Match
41 - 2018-11-18171Blackhawks1Ducks7WSommaire du Match
43 - 2018-11-20183Ducks4Stars1WSommaire du Match
45 - 2018-11-22193Golden Knights2Ducks4WSommaire du Match
47 - 2018-11-24201Ducks1Golden Knights2LSommaire du Match
49 - 2018-11-26207Ducks2Kings1WXXSommaire du Match
51 - 2018-11-28213Ducks3Jets2WSommaire du Match
53 - 2018-11-30225Maple Leafs3Ducks2LSommaire du Match
55 - 2018-12-02234Ducks4Bruins3WSommaire du Match
60 - 2018-12-07250Bruins5Ducks4LXXSommaire du Match
63 - 2018-12-10261Ducks3Maple Leafs2WXXSommaire du Match
65 - 2018-12-12272Penguins2Ducks1LSommaire du Match
70 - 2018-12-17288Ducks3Devils4LSommaire du Match
72 - 2018-12-19294Ducks2Panthers4LSommaire du Match
73 - 2018-12-20303Blues0Ducks4WSommaire du Match
76 - 2018-12-23316Ducks1Blue Jackets3LSommaire du Match
78 - 2018-12-25327Devils6Ducks0LSommaire du Match
83 - 2018-12-30346Predateurs3Ducks1LSommaire du Match
85 - 2019-01-01354Ducks3Predateurs1WSommaire du Match
88 - 2019-01-04368Ducks2Avalanche4LSommaire du Match
90 - 2019-01-06373Lightning3Ducks2LSommaire du Match
92 - 2019-01-08384Ducks1Jets3LSommaire du Match
94 - 2019-01-10393Ducks4Kings5LSommaire du Match
97 - 2019-01-13403Flames1Ducks2WXXSommaire du Match
99 - 2019-01-15413Ducks1Lightning0WSommaire du Match
102 - 2019-01-18424Kings4Ducks5WXSommaire du Match
105 - 2019-01-21434Ducks2Sharks3LSommaire du Match
108 - 2019-01-24450Kings2Ducks1LSommaire du Match
110 - 2019-01-26457Ducks1Stars3LSommaire du Match
114 - 2019-01-30473Panthers3Ducks2LXXSommaire du Match
116 - 2019-02-01482Ducks2Canadiens3LXXSommaire du Match
120 - 2019-02-05497Oilers1Ducks2WSommaire du Match
125 - 2019-02-10515Ducks3Golden Knights1WSommaire du Match
126 - 2019-02-11522Avalanche2Ducks0LSommaire du Match
129 - 2019-02-14540Flyers2Ducks1LSommaire du Match
135 - 2019-02-20562Jets2Ducks0LSommaire du Match
137 - 2019-02-22572Ducks2Senateurs1WSommaire du Match
138 - 2019-02-23578Ducks2Lightning1WSommaire du Match
141 - 2019-02-26590Islanders3Ducks1LSommaire du Match
144 - 2019-03-01604Ducks3Oilers2WXXSommaire du Match
146 - 2019-03-03612Islanders2Ducks1LXXSommaire du Match
148 - 2019-03-05620Ducks1Islanders2LSommaire du Match
151 - 2019-03-08634Senateurs3Ducks1LSommaire du Match
153 - 2019-03-10643Ducks2Predateurs1WSommaire du Match
156 - 2019-03-13659Stars5Ducks6WXXSommaire du Match
159 - 2019-03-16669Ducks4Flyers2WSommaire du Match
161 - 2019-03-18677Ducks5Oilers4WSommaire du Match
163 - 2019-03-20688Blackhawks1Ducks2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
169 - 2019-03-26710Canadiens3Ducks2LSommaire du Match
173 - 2019-03-30731Golden Knights1Ducks0LSommaire du Match
178 - 2019-04-04751Jets3Ducks4WSommaire du Match
182 - 2019-04-08768Ducks-Blues-
184 - 2019-04-10778Blue Jackets-Ducks-
187 - 2019-04-13791Ducks-Blues-
189 - 2019-04-15798Capitals-Ducks-
194 - 2019-04-20819Oilers-Ducks-
197 - 2019-04-23826Ducks-Sharks-
201 - 2019-04-27844Avalanche-Ducks-
207 - 2019-05-03860Ducks-Avalanche-
208 - 2019-05-04868Flames-Ducks-
213 - 2019-05-09889Ducks-Blackhawks-
214 - 2019-05-10893Predateurs-Ducks-
216 - 2019-05-12908Ducks-Penguins-
219 - 2019-05-15916Sharks-Ducks-
221 - 2019-05-17929Ducks-Penguins-
223 - 2019-05-19938Sharks-Ducks-
226 - 2019-05-22945Ducks-Flames-
231 - 2019-05-27961Stars-Ducks-
234 - 2019-05-30972Ducks-Flames-
236 - 2019-06-01978Ducks-Capitals-
237 - 2019-06-02983Ducks-Blackhawks-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance183,343154,52861,483123,93129,932
Attendance PCT95.49%96.58%96.07%96.82%93.54%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
9 17288 - 96.04% 1,621,872$51,899,918$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
67,266,360$ 84,940,961$ 81,705,455$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
84,940,961$ 64,241,100$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
14,596,852$ 58 373,702$ 21,674,716$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
21,885,160$ 84,940,961$ -8,724,703$ -16,013,011$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
William KarlssonAGE:24PO:68OV:86
Artemi PanarinAGE:25PO:37OV:84
Carl HagelinAGE:29PO:39OV:73
Tyler EnnisAGE:27PO:65OV:71
*Andreas JohnssonAGE:22PO:43OV:65
Andrew MangiapaneAGE:21PO:49OV:58
Eric StaalAGE:32PO:48OV:90
Sean CouturierAGE:24PO:83OV:88
William KarlssonAGE:24PO:68OV:86
Mitchell MarnerAGE:20PO:89OV:85
Jonathan MarchessaultAGE:26PO:36OV:85
Jack EichelAGE:20PO:91OV:84
Riley NashAGE:28PO:66OV:76
Mikael BacklundAGE:28PO:66OV:75
Cory ConacherAGE:27PO:36OV:66
Mitchell MarnerAGE:20PO:89OV:85
Jonathan MarchessaultAGE:26PO:36OV:85
Riley NashAGE:28PO:66OV:76
Ty RattieAGE:24PO:74OV:72

Défense #1Défense #2Gardien
Ryan SuterAGE:32PO:52OV:83
Mark GiordanoAGE:33PO:23OV:80
Ron HainseyAGE:36PO:38OV:78
Josh MansonAGE:25PO:42OV:77
Dan HamhuisAGE:34PO:41OV:77
Derek ForbortAGE:25PO:80OV:74
Kyle CapobiancoAGE:20PO:68OV:59
*Vili SaarijarviAGE:20PO:44OV:55
Tuukka RaskAGE:30PO:64OV:84
James ReimerAGE:29PO:49OV:80

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
Adam MascherinDucks
Dennis CholowskiDucks
Henri JokiharjuDucks201729
Jake OettingerDucks201726
Jan kovarDucks
Josh BrookDucks
Nicolas HagueDucks201734
Ukko Pekka LuukkonenDucks

Choix au Repêchage

Année R1R2R3R4R5
4ANA ANA ANA ANA ANA
5ANA ANA ANA ANA ANA
6ANA ANA ANA ANA ANA
7ANA ANA ANA ANA ANA



[2019-02-11 22:52:20] - New Record for Team's Most Shots (47) in 1 Game for Ducks!
[2019-02-05 21:07:20] - New Record for Team's Most Shots (45) in 1 Game for Ducks!
[2018-11-29 22:37:33] - New Record for Team's Most Shots Blocked (19) in 1 Game for Ducks!
[2018-10-04 09:46:49] - jan kovar has been added to Ducks.
[2018-10-03 20:43:50] - Tyler Ennis was added to Ducks.
[2018-10-01 23:52:22] - TRADE : From Ducks to Devils : Francois Beauchemin (75).
[2018-10-01 23:42:07] - Francois Beauchemin was added to Ducks.
[2018-10-01 23:41:55] - Dan Hamhuis was added to Ducks.
[2018-09-25 22:18:31] - TRADE : From Ducks to Senateurs : Dustin Byfuglien (79).
[2018-09-25 22:18:31] - TRADE : From Senateurs to Ducks : Ty Rattie (72).
[2018-09-25 00:27:27] - Gulls hired Bryan Trottier for 500 000 $ for 1 year(s).
[2018-09-10 22:41:02] - Leo Komarov was released.
[2018-09-10 22:41:02] - Ducks paid 0 $ to release Leo Komarov.
[2018-09-10 22:40:56] - Braydon Coburn was released.
[2018-09-10 22:40:56] - Ducks paid 0 $ to release Braydon Coburn.
[2018-09-10 22:40:49] - Blake Comeau was released.
[2018-09-10 22:40:49] - Ducks paid 0 $ to release Blake Comeau.
[2018-09-10 22:40:41] - Scott Darling was released.
[2018-09-10 22:40:41] - Ducks paid 0 $ to release Scott Darling.
[2018-09-10 22:40:36] - Niklas Hjalmarsson was released.
[2018-09-10 22:40:36] - Ducks paid 0 $ to release Niklas Hjalmarsson.
[2018-09-10 22:40:28] - Matt Moulson was released.
[2018-09-10 22:40:28] - Ducks paid 0 $ to release Matt Moulson.
[2018-08-29 21:49:37] - Vili Saarijarvi was added to Ducks.
[2018-08-29 21:49:22] - Andreas Johnsson was added to Ducks.
[2018-07-06 22:02:44] - Ted Nolan contract with Gulls has ended.



[2019-02-21 20:00:33] Current fund for Ducks is under 0 $.
[2019-02-20 21:03:46] Current fund for Ducks is under 0 $.
[2019-02-20 21:03:06] Gulls lines for next game are empty. Current rosters/lines are not erased. But, Ducks lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-02-20 19:28:36] Current fund for Ducks is under 0 $.
[2019-02-20 19:28:35] Successfully loaded Ducks lines done with STHS Client - 3.1.7.7
[2019-02-20 19:28:28] Current fund for Ducks is under 0 $.
[2019-02-19 21:54:23] Current fund for Ducks is under 0 $.
[2019-02-19 21:53:45] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-18 23:16:01] Current fund for Ducks is under 0 $.
[2019-02-18 23:14:47] Current fund for Ducks is under 0 $.
[2019-02-18 23:14:46] Successfully loaded Ducks lines done with STHS Client - 3.1.7.7
[2019-02-18 23:14:35] Current fund for Ducks is under 0 $.
[2019-02-15 21:18:42] Current fund for Ducks is under 0 $.
[2019-02-15 21:08:21] Current fund for Ducks is under 0 $.
[2019-02-15 21:06:44] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-15 21:05:10] Current fund for Ducks is under 0 $.
[2019-02-15 21:05:09] Successfully loaded Ducks lines done with STHS Client - 3.1.7.7
[2019-02-15 21:05:03] Current fund for Ducks is under 0 $.
[2019-02-14 00:07:33] Current fund for Ducks is under 0 $.
[2019-02-14 00:06:47] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-12 21:15:13] Current fund for Ducks is under 0 $.
[2019-02-12 18:28:47] Current fund for Ducks is under 0 $.
[2019-02-12 17:57:40] Current fund for Ducks is under 0 $.
[2019-02-12 17:40:08] Current fund for Ducks is under 0 $.
[2019-02-12 10:45:44] Current fund for Ducks is under 0 $.
[2019-02-11 22:53:22] Current fund for Ducks is under 0 $.
[2019-02-11 22:52:43] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-11 22:52:20] New Record for Team's Most Shots (47) in 1 Game for Ducks!
[2019-02-08 21:02:14] Current fund for Ducks is under 0 $.
[2019-02-08 21:00:29] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-07 21:45:09] Current fund for Ducks is under 0 $.
[2019-02-07 21:41:46] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-06 20:59:21] Current fund for Ducks is under 0 $.
[2019-02-06 20:58:54] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-06 13:19:36] Current fund for Ducks is under 0 $.
[2019-02-05 21:08:09] Current fund for Ducks is under 0 $.
[2019-02-05 21:07:20] New Record for Team's Most Shots (45) in 1 Game for Ducks!
[2019-02-05 21:05:28] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-04 21:01:51] Current fund for Ducks is under 0 $.
[2019-02-04 21:00:20] Current fund for Ducks is under 0 $.
[2019-02-04 21:00:19] Successfully loaded Ducks lines done with STHS Client - 3.1.7.7
[2019-02-04 20:59:48] Current fund for Ducks is under 0 $.
[2019-02-01 20:08:09] Current fund for Ducks is under 0 $.
[2019-02-01 20:07:49] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2019-02-01 20:07:49] Game 651 - Unknown Player from Gulls is injured (Bruised Right Shoulder) and is out for 5 days.



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
26221270207514314303210130203473712301114000417072-2651432223652330535115205068268566855201962727811872623513.36%1352780.00%2787154550.94%744149449.80%42179952.69%146188712545341065554
Total Saison Régulière6221270207514314303210130203473712301114000417072-2651432223652330535115205068268566855201962727811872623513.36%1352780.00%2787154550.94%744149449.80%42179952.69%146188712545341065554