Ducks

GP: 29 | W: 15 | L: 12 | OTL: 2 | P: 32
GF: 73 | GA: 66 | PP%: 15.04% | PK%: 82.14%
DG: Louis Massicotte | Morale : 53 | Moyenne d'Équipe : 80
Prochain matchs #354 vs Predateurs
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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 StaalX100.006143808882889894837387728493774862900
2Sean CouturierX100.006742939081969890838182797869648361880
3William KarlssonXX100.006141879170909789837488818360626861860
4Jonathan MarchessaultXX100.006843819357889493738480687358563661850
5Artemi PanarinX100.005742889460939886508679647359553761840
6Jack EichelX100.006442878977938488718381657758569161840
7Mitchell MarnerXX100.006041859164859885838274627156538961810
8Riley NashXX100.006941868170839577806768846966696661760
9Mikael BacklundX100.006246718473919975937065796871616661750
10Carl HagelinX100.007242848065849874656160776769623961720
11Ty RattieX100.005942737970738477506070606451517461720
12Tyler EnnisX100.006441828653799474565659756869606561710
13Ryan SuterX100.006743928379999885308258896789845261830
14Mark GiordanoX100.006844877971969980306464927380722361800
15Ron HainseyX100.006942907179899669306054886689753861780
16Dan HamhuisX100.006842887075869677306153836591734164770
17Josh MansonX100.008045797081869878307058896660594261770
18Derek ForbortX100.007744837184879565305951856356578061740
Rayé
MOYENNE D'ÉQUIPE100.00664384837288968158716877716964586180
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 Rask99.00859191738988919090858283846461840
2James Reimer100.00798593868284838481777772764961800
Rayé
MOYENNE D'ÉQUIPE99.5082889280868687878681807880576182
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
1Jonathan MarchessaultDucksC/RW29121426-4120442513638808.82%462021.396612271220001341047.37%574112000.8401000311
2Eric StaalDucksC2961925-4215495611334675.31%1967323.2231114141210003761053.96%9842510000.7416001102
3Artemi PanarinDucksLW297132054035207521529.33%649917.2412381021011171122.22%18347000.8000000032
4Sean CouturierDucksC2913720340434572164118.06%1255419.1123551010004832445.88%3641410000.7226000212
5William KarlssonDucksC/LW2910919-3100282911338738.85%1561521.23448201221014352044.93%69239000.6225000011
6Mitchell MarnerDucksC/RW2988163280333162153512.90%946516.042245101000001038.10%21194000.6900000101
7Jack EichelDucksC29281014025165525553.64%1434812.0300015000091044.19%172133000.5711000012
8Riley NashDucksC/RW2963912025184163314.63%732711.2800014000001142.86%764000.5500000121
9Ryan SuterDucksD2917832047524915222.04%3482428.4212312139000286000.00%01222000.1900000010
10Mark GiordanoDucksD2906638040454916210.00%5582028.300228139000082000.00%0928000.1500000000
11Mikael BacklundDucksC29145014021205715391.75%52578.88000000113280047.87%9465000.3900000000
12Carl HagelinDucksLW2904411003321279190.00%732611.2500000000000050.00%627000.2500000000
13Ron HainseyDucksD291340803240247104.17%3858320.11101586011051100.00%0022000.1400000000
14Ty RattieDucksRW29123-3120774212312.38%32227.6800012000000050.00%6110000.2700000000
15Dan HamhuisDucksD29022113528223011110.00%3359320.46000086000052000.00%0312000.0700100000
16Tyler EnnisDucksLW29112-260151919795.26%12217.6500000000000025.00%442000.1800000000
17Josh MansonDucksD29011-3100292219990.00%1333811.660000100000000.00%0011000.0600000000
18Derek ForbortDucksD29000-46014209580.00%1535612.2900001000013000.00%0111000.0000000000
Stats d'équipe Total ou en Moyenne52269111180-2174105485089922996156.96%290864816.5720325210711402241857411649.89%1802223179000.4261910181012
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 RaskDucks29151220.9322.1117044260885389210.70020290640
2James ReimerDucks20000.9212.86630033822000.0000029000
Stats d'équipe Total ou en Moyenne31151220.9322.1417684263923411210.700202929640


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Artemi PanarinDucksLW251991-10-30No168 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm6,000,000$6,000,000$3,882,353$NoLien
Carl HagelinDucksLW291988-08-23No186 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm4,000,000$4,000,000$2,588,235$NoLien
Dan HamhuisDucksD341982-12-13No204 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$1,294,118$No2,000,000$Lien
Derek ForbortDucksD251992-03-04No215 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm2,525,000$2,525,000$1,633,824$No2,525,000$Lien
Eric StaalDucksC321984-10-29No209 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,264,706$NoLien
Jack EichelDucksC201996-10-28No206 Lbs6 ft2NoNoNo7Contrat d'EntréePro & Farm10,000,000$10,000,000$6,470,588$No10,000,000$10,000,000$10,000,000$10,000,000$10,000,000$10,000,000$Lien
James ReimerDucksG291988-03-15No217 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm3,400,000$3,400,000$2,200,000$No3,400,000$3,400,000$Lien
Jonathan MarchessaultDucksC/RW261990-12-27No174 Lbs5 ft9NoNoNo6Contrat d'EntréePro & Farm5,000,000$5,000,000$3,235,294$No5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$Lien
Josh MansonDucksD251991-10-07No213 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm4,100,000$4,100,000$2,652,941$No4,100,000$4,100,000$4,100,000$Lien
Mark GiordanoDucksD331983-10-03No198 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm6,750,000$6,750,000$4,367,647$No6,750,000$6,750,000$6,750,000$Lien
Mikael BacklundDucksC281989-03-17No199 Lbs6 ft1NoNoNo6Sans RestrictionPro & Farm5,350,000$5,350,000$3,461,765$No5,350,000$5,350,000$5,350,000$5,350,000$5,350,000$Lien
Mitchell MarnerDucksC/RW201997-05-05No175 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm894,166$894,166$578,578$NoLien
Riley NashDucksC/RW281989-05-09No190 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm2,750,000$2,750,000$1,779,412$No2,750,000$2,750,000$Lien
Ron HainseyDucksD361981-03-24No205 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,000,000$3,000,000$1,941,176$NoLien
Ryan SuterDucksD321985-01-21No202 Lbs6 ft2NoNoNo7Sans RestrictionPro & Farm7,538,462$7,538,462$4,877,828$No7,538,462$7,538,462$7,538,462$7,538,462$7,538,462$7,538,462$Lien
Sean CouturierDucksC241992-12-07No211 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm4,333,333$4,333,333$2,803,921$No4,333,333$4,333,333$4,333,333$Lien
Tuukka RaskDucksG301987-03-10No176 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm7,000,000$7,000,000$4,529,412$No7,000,000$7,000,000$Lien
Ty RattieDucksRW241993-02-05No184 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm800,000$800,000$517,647$NoLien
Tyler EnnisDucksLW271989-10-06No161 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm750,000$750,000$485,294$NoLien
William KarlssonDucksC/LW241993-01-08No189 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm5,250,000$5,250,000$3,397,059$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 KarlssonEric StaalJonathan Marchessault40014
2Artemi PanarinSean CouturierMitchell Marner30014
3Carl HagelinJack EichelRiley Nash20014
4Tyler EnnisMikael BacklundTy Rattie10014
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterMark Giordano40041
2Ron HainseyDan Hamhuis30041
3Josh MansonDerek Forbort20041
4Ryan SuterMark Giordano10041
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1William KarlssonEric StaalJonathan Marchessault60041
2Artemi PanarinSean CouturierMitchell Marner40041
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterMark Giordano60041
2Ron HainseyDan Hamhuis40041
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Eric StaalSean Couturier60041
2William KarlssonJonathan Marchessault40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterMark Giordano60041
2Ron HainseyDan Hamhuis40041
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Eric Staal60041Ryan SuterMark Giordano60041
2Sean Couturier40041Ron HainseyDan Hamhuis40041
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Eric StaalSean Couturier60041
2William KarlssonJonathan Marchessault40041
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterMark Giordano60041
2Ron HainseyDan Hamhuis40041
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
William KarlssonEric StaalJonathan MarchessaultRyan SuterMark Giordano
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
William KarlssonEric StaalJonathan MarchessaultRyan SuterMark Giordano
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Eichel, Riley Nash, Mikael BacklundJack Eichel, Riley NashMikael Backlund
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Manson, Derek Forbort, Ron HainseyJosh MansonDerek Forbort, 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
1Blackhawks11000000716110000007160000000000021.000713200041204017101303884185240.00%20100.00%038575151.26%32467947.72%19035553.52%2314197179
2Blue Jackets1010000013-2000000000001010000013-200.00012300010039135210275419300.00%2150.00%038575151.26%32467947.72%19035553.52%2315188178
3Blues21000001523210000015230000000000030.750581301212066213015264208291218.33%40100.00%038575151.26%32467947.72%19035553.52%503038183518
4Bruins210000018801000000145-11100000043130.75081422000441761926313702410268112.50%5180.00%038575151.26%32467947.72%19035553.52%462942173517
5Devils20200000310-71010000006-61010000034-100.00036900012071212822077291432900.00%20100.00%038575151.26%32467947.72%19035553.52%452742163217
6Flames21100000431110000003121010000012-120.5004610001120601417290591210429111.11%50100.00%038575151.26%32467947.72%19035553.52%422241183618
7Golden Knights421000101156220000008262010001033060.75011182901145113241444649932209918527.78%10280.00%038575151.26%32467947.72%19035553.52%975876367035
8Jets22000000633110000003121100000032141.00069150013206921282007029164310220.00%80100.00%238575151.26%32467947.72%19035553.52%472840163217
9Kings30101010651100010003212010001033040.6676612000223110254835711137284916212.50%14285.71%038575151.26%32467947.72%19035553.52%643568285227
10Maple Leafs201000105501010000023-11000001032120.5005712002111772717279592416359222.22%8275.00%038575151.26%32467947.72%19035553.52%483143183214
11Oilers2110000067-1110000002111010000046-220.5006713002220582914150582314476116.67%7442.86%038575151.26%32467947.72%19035553.52%442641163317
12Panthers1010000024-2000000000001010000024-200.0002461000203713131102950199111.11%000.00%038575151.26%32467947.72%19035553.52%2415188179
13Penguins1010000012-11010000012-10000000000000.000112001000321391002072216116.67%110.00%038575151.26%32467947.72%19035553.52%2617178167
14Predateurs1010000013-21010000013-20000000000000.00011200010026317603810417200.00%20100.00%038575151.26%32467947.72%19035553.52%2112217179
15Sharks2010001034-1100000102111010000013-220.50034700011165191925575162237700.00%11190.91%038575151.26%32467947.72%19035553.52%452545183416
16Stars11000000413000000000001100000041321.000459002020341651303096154125.00%3166.67%038575151.26%32467947.72%19035553.52%2113219168
Total29101201042736671574010124130111438000303236-4320.55273111184121623297992312330339309242901785481332015.04%841582.14%238575151.26%32467947.72%19035553.52%675403596256498255
_Since Last GM Reset29101201042736671574010124130111438000303236-4320.55273111184121623297992312330339309242901785481332015.04%841582.14%238575151.26%32467947.72%19035553.52%675403596256498255
_Vs Conference209601031533419117101011341420925000201920-1270.675537713002131620566020623221718642196132396891516.85%661084.85%238575151.26%32467947.72%19035553.52%459267414177346179
_Vs Division134501030302466400101018711705000201217-5160.61530417101410125425128142150164021209427456916.07%47980.85%038575151.26%32467947.72%19035553.52%294168273118227115

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2932L37311118499292429017854812
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
29101210427366
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157410124130
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
143800303236
Derniers 10 Matchs
WLOTWOTL SOWSOL
260011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1332015.04%841582.14%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
312330339301623297
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
38575151.26%32467947.72%19035553.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
675403596256498255


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 - 2019-01-01354Ducks-Predateurs-
88 - 2019-01-04368Ducks-Avalanche-
90 - 2019-01-06373Lightning-Ducks-
92 - 2019-01-08384Ducks-Jets-
94 - 2019-01-10393Ducks-Kings-
97 - 2019-01-13403Flames-Ducks-
99 - 2019-01-15413Ducks-Lightning-
102 - 2019-01-18424Kings-Ducks-
105 - 2019-01-21434Ducks-Sharks-
108 - 2019-01-24450Kings-Ducks-
110 - 2019-01-26457Ducks-Stars-
114 - 2019-01-30473Panthers-Ducks-
116 - 2019-02-01482Ducks-Canadiens-
120 - 2019-02-05497Oilers-Ducks-
125 - 2019-02-10515Ducks-Golden Knights-
126 - 2019-02-11522Avalanche-Ducks-
129 - 2019-02-14540Flyers-Ducks-
135 - 2019-02-20562Jets-Ducks-
137 - 2019-02-22572Ducks-Senateurs-
138 - 2019-02-23578Ducks-Lightning-
141 - 2019-02-26590Islanders-Ducks-
144 - 2019-03-01604Ducks-Oilers-
146 - 2019-03-03612Islanders-Ducks-
148 - 2019-03-05620Ducks-Islanders-
151 - 2019-03-08634Senateurs-Ducks-
153 - 2019-03-10643Ducks-Predateurs-
156 - 2019-03-13659Stars-Ducks-
159 - 2019-03-16669Ducks-Flyers-
161 - 2019-03-18677Ducks-Oilers-
163 - 2019-03-20688Blackhawks-Ducks-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
169 - 2019-03-26710Canadiens-Ducks-
173 - 2019-03-30731Golden Knights-Ducks-
178 - 2019-04-04751Jets-Ducks-
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
Assistance86,93372,58628,89858,48214,009
Attendance PCT96.59%96.78%96.33%97.47%93.39%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
26 17394 - 96.63% 1,612,489$24,187,335$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
31,390,968$ 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$ 29,979,180$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
41,924,714$ 154 373,702$ 57,550,108$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
58,066,636$ 84,940,961$ -208,094$ -16,350,016$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
William KarlssonAGE:24PO:68OV:86
Artemi PanarinAGE:25PO:37OV:84
Carl HagelinAGE:29PO:39OV:72
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
Jonathan MarchessaultAGE:26PO:36OV:85
Jack EichelAGE:20PO:91OV:84
Mitchell MarnerAGE:20PO:89OV:81
Riley NashAGE:28PO:66OV:76
Mikael BacklundAGE:28PO:66OV:75
Cory ConacherAGE:27PO:36OV:66
Jonathan MarchessaultAGE:26PO:36OV:85
Mitchell MarnerAGE:20PO:89OV:81
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



[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.
[2018-06-07 23:25:58] - Gulls was eliminated at round 2 of year 1.
[2018-06-02 22:59:04] - Ducks was eliminated at round 1 of year 1.
[2018-05-14 00:07:57] - New Record for Team's Most Hits (31) in 1 Game for Ducks!



[2018-12-10 20:52:54] Current fund for Ducks is under 0 $.
[2018-12-10 20:52:22] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-10 12:10:57] Current fund for Ducks is under 0 $.
[2018-12-10 12:05:51] Current fund for Ducks is under 0 $.
[2018-12-09 23:09:45] Current fund for Ducks is under 0 $.
[2018-12-07 22:26:57] Current fund for Ducks is under 0 $.
[2018-12-07 22:26:01] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-06 22:35:05] Current fund for Ducks is under 0 $.
[2018-12-06 22:34:13] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-06 22:34:13] Game 331 - Kyle Capobianco from Gulls is injured (Separated Right Shoulder) and is out for 1 week.
[2018-12-05 21:03:43] 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.
[2018-12-05 20:52:23] Current fund for Ducks is under 0 $.
[2018-12-05 20:52:22] Successfully loaded Ducks lines done with STHS Client - 3.1.3.0
[2018-12-05 20:52:16] Current fund for Ducks is under 0 $.
[2018-12-04 23:44:52] Current fund for Ducks is under 0 $.
[2018-12-03 21:39:01] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-02 22:58:39] Current fund for Ducks is under 0 $.
[2018-11-30 21:20:10] Current fund for Ducks is under 0 $.
[2018-11-30 21:19:43] 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.
[2018-11-29 22:37:33] 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.
[2018-11-29 22:37:33] New Record for Team's Most Shots Blocked (19) in 1 Game for Ducks!
[2018-11-28 21:16:41] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-26 20:42:15] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-22 22:42:50] 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.
[2018-11-22 22:42:50] Game 246 - Unknown Player from Gulls is injured (Bruised Left Arm) and is out for 5 days.
[2018-11-21 21:48:09] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-21 21:48:08] Kyle Capobianco from Gulls has scored a Hat Trick!
[2018-11-20 17:59:45] Successfully loaded Ducks lines done with STHS Client - 3.1.3.0
[2018-11-19 21:56:55] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2018-11-19 21:55:42] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-16 22:19:21] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2018-11-16 22:19:02] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-15 22:25:09] Ducks 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
229101201042736671574010124130111438000303236-43273111184121623297992312330339309242901785481332015.04%841582.14%238575151.26%32467947.72%19035553.52%675403596256498255
Total Saison Régulière29101201042736671574010124130111438000303236-43273111184121623297992312330339309242901785481332015.04%841582.14%238575151.26%32467947.72%19035553.52%675403596256498255