Connexion


Centre de jeu
Bandits
35-28-5, 75pts
5
FINAL
3 Mighty Ducks
29-35-6, 64pts
Team Stats
SOL1StreakL4
21-12-1Home Record12-19-3
14-16-4Away Record17-16-3
5-4-1Last 10 Games3-6-1
3.82Buts par match 2.87
3.65Buts contre par match 3.57
17.29%Pourcentage en avantage numérique17.10%
81.82%Pourcentage en désavantage numérique83.14%
WolfPack
30-32-6, 66pts
3
FINAL
2 Mighty Ducks
29-35-6, 64pts
Team Stats
W2StreakL4
15-17-2Home Record12-19-3
15-15-4Away Record17-16-3
7-1-2Last 10 Games3-6-1
2.71Buts par match 2.87
3.04Buts contre par match 3.57
14.92%Pourcentage en avantage numérique17.10%
82.04%Pourcentage en désavantage numérique83.14%
Mighty Ducks
29-35-6, 64pts
Jour 150
SilverKnights
28-29-12, 68pts
Stats Équipe
L4SéquenceL2
12-19-3Fiche domicile16-10-8
17-16-3Fiche visiteur12-19-4
3-6-110 derniers matchs5-4-1
2.87Buts par match 2.97
3.57Buts contre par match 3.28
17.10%Pourcentage en avantage numérique17.11%
83.14%Pourcentage en désavantage numérique84.67%
Vikings
41-18-8, 90pts
Jour 151
Mighty Ducks
29-35-6, 64pts
Stats Équipe
W1SéquenceL4
22-6-6Fiche domicile12-19-3
19-12-2Fiche visiteur17-16-3
7-2-110 derniers matchs3-6-1
3.57Buts par match 2.87
2.94Buts contre par match 3.57
21.19%Pourcentage en avantage numérique17.10%
84.01%Pourcentage en désavantage numérique83.14%
Sagueneens
29-34-5, 63pts
Jour 155
Mighty Ducks
29-35-6, 64pts
Stats Équipe
OTL1SéquenceL4
13-18-3Fiche domicile12-19-3
16-16-2Fiche visiteur17-16-3
2-7-110 derniers matchs3-6-1
2.79Buts par match 2.87
2.99Buts contre par match 3.57
17.92%Pourcentage en avantage numérique17.10%
82.85%Pourcentage en désavantage numérique83.14%
Meneurs d'équipe
Jonathan GrudenButs
Jonathan Gruden
33
Sebastiann AhoPasses
Sebastiann Aho
43
AJ GreerPoints
AJ Greer
57
Viktor LodinPlus/Moins
Viktor Lodin
12
Victor BrattstromVictoires
Victor Brattstrom
22
Tyler WallPourcentage d’arrêts
Tyler Wall
0.898

Stats Équipe
Buts pour
201
2.87 GFG
Tirs pour
1883
26.90 Avg
Pourcentage en avantage numérique
17.1%
46 GF
Début de zone offensive
39.8%
Buts contre
250
3.57 GAA
Tirs contre
2072
29.60 Avg
Pourcentage en désavantage numérique
83.1%
57 GA
Début de la zone défensive
39.5%
Information d’équipe
Directeur généralSteve Verrette
EntraîneurDean Evason
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro21
Équipe Mineure22
Limite contact 43 / 50
Espoirs7
Historique d'équipe
Saison actuelle29-35-6 (64PTS)
Historique330-331-64 (0.455%)
Apparitions séries éliminatoires 3
Historique séries éliminatoires (W-L)3-12
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1AJ GreerX100.008064787572698353404858654080755019610282925,000$
2Graeme ClarkeX100.0058708179567666554049617090707375346102311,017,500$
3Ryan LombergX100.0096476977477194494042556040847840186003021,500,000$
4Jonathan GrudenX100.0099578276476952484040566540727170185702411,017,500$
5Curtis DouglasX100.009948387599665640704337584072697018560241825,000$
6Viktor LodinX100.005347667558605047404648529974676518540251825,000$
7Gabriel BourqueX100.009652837555605035403734574092762021520342650,000$
8Filip CederqvistX100.006457827569625234402938624072677018510241750,000$
9Carson FochtX100.0061596775496050357034365540726670265002411,017,500$
10Jachym Kondelik (R)X100.004948787550605037703341584074676518500251750,000$
11Johan SodergranX100.007363877568605031402933504074676538490251847,000$
12Dillon HamaliukX100.006256737567605033403136504072667020490241825,000$
13Xavier OuelletX100.008748807561676242405034694086773517630312650,000$
14Steven SantiniX100.0088528375666863394039406940827545216302921,500,000$
15Sebastiann AhoX100.0057418679477783524050546740807950176302821,925,000$
16Robert HaggX100.0099537475705550374036386740826945326102911,250,000$
17Hunter SkinnerX100.0069525275625550344031375640706375175402311,017,500$
18Jesper SellgrenX100.004844847552555041404240504076666018530261700,000$
19Xavier BernardX100.006152767569555029402334504072647021520241825,000$
Rayé
MOYENNE D’ÉQUIPE 100.00745375766163584145394359467770582256
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Tyler Wall100.00755060955050505050504076636030580261907,500$
2Victor Brattstrom100.00755060935050505050506478645512580271700,000$
Rayé
MOYENNE D’ÉQUIPE100.0075506094505050505050527764582158
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason63586172908550CAN6022,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1AJ GreerMighty Ducks (Ana)LW70253257-104151001462467116110.16%19147221.045494015600082575243.31%12700100.7714001677
2Jonathan GrudenMighty Ducks (Ana)C70332356-49802702222717119512.18%21134519.2210818561840000284139.54%122900000.83020001266
3Sebastiann AhoMighty Ducks (Ana)D59104353-954015910614250987.04%95133522.6381119902020113229210.00%000000.7900000773
4Ryan LombergMighty Ducks (Ana)LW70182038-17760222134186581279.68%14113116.1611283901141235237.29%11800010.67340001033
5Jack McBainDucksC4416223816315108152142309911.27%14102323.254482513100021872161.65%108200010.7412111445
6Steven SantiniMighty Ducks (Ana)D7062329-29715164766922388.70%55116316.63279311350110163000.00%000000.5000100128
7Jachym KondelikMighty Ducks (Ana)C7062127-202011597021458.57%1693013.290114250000130160.22%99800000.5800000016
8Curtis DouglasMighty Ducks (Ana)C59101525-238401988059144116.95%676813.0326811134000010160.76%103200000.6500000425
9Viktor LodinMighty Ducks (Ana)LW709101912100133738143823.68%34286.1200011500031192130.00%3000000.8901000162
10Xavier OuelletMighty Ducks (Ana)D5921618-25660120674414234.55%66101017.12268291330000158100.00%000000.3600000221
11Filip CederqvistMighty Ducks (Ana)RW705813-210044843182711.63%378211.1822415137000000055.10%4900000.3300000220
12Hunter SkinnerMighty Ducks (Ana)D70246-1691521120236238.70%4873210.4601153900001100.00%000000.1600010031
13Jesper SellgrenMighty Ducks (Ana)D59066-186092313550.00%3167511.4600001000088000.00%000000.1800000001
14Kevin RooneyDucksC10235-1608252612117.69%219219.291123310001220067.58%18200000.5200000000
15Carson FochtMighty Ducks (Ana)C1811225551113167.69%0874.8600000000020058.70%9200000.4600001000
16Johan SodergranMighty Ducks (Ana)RW11022-260151010340.00%115714.29011325000000025.00%800000.2500000001
17Gabriel BourqueMighty Ducks (Ana)LW70112075221216376.25%11982.841128550000310135.90%7800000.2000100001
18Dillon HamaliukMighty Ducks (Ana)LW52000-200101210.00%0160.3200004000030033.33%600000.0000000002
19Kieffer BellowsDucksLW1000000212040.00%02323.8200000000050066.67%300000.0000000000
20Xavier BernardMighty Ducks (Ana)D1000000010000.00%077.950000000001000.00%000000.0000000000
21Arber XhekajDucksD3000-3801651230.00%17023.350000600009000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1006146250396-1856944016481335141541795610.32%3961355513.473854923291460033211448221154.17%503400120.58513323494552
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
1Victor BrattstromMighty Ducks (Ana)59223160.8753.6432832219915910010.60015590432
2Tyler WallMighty Ducks (Ana)217400.8983.1091102474590000.00001170232
Statistiques d’équipe totales ou en moyenne80293560.8803.5241952424620500010.600157070664


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
AJ GreerMighty Ducks (Ana)LW281996-12-14No209 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
UFA
Lien / Lien NHL
Carson FochtMighty Ducks (Ana)C242000-02-04No175 Lbs6 ft0NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Curtis DouglasMighty Ducks (Ana)C242000-03-06No242 Lbs6 ft9NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Dillon HamaliukMighty Ducks (Ana)LW242000-10-30No200 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Filip CederqvistMighty Ducks (Ana)RW242000-08-23No203 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Gabriel BourqueMighty Ducks (Ana)LW341990-09-23No200 Lbs5 ft9NoNoNo2Pro & Farm650,000$0$0$No650,000$
UFA
Lien / Lien NHL
Graeme ClarkeMighty Ducks (Ana)RW232001-04-24No190 Lbs6 ft0NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Hunter SkinnerMighty Ducks (Ana)D232001-04-29No190 Lbs6 ft3NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Jachym KondelikMighty Ducks (Ana)C251999-12-21Yes232 Lbs6 ft7NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Jesper SellgrenMighty Ducks (Ana)D261998-06-11No186 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
RFA
Lien / Lien NHL
Johan SodergranMighty Ducks (Ana)RW251999-11-20No205 Lbs6 ft2NoNoNo1Pro & Farm847,000$0$0$No
RFA
Lien / Lien NHL
Jonathan GrudenMighty Ducks (Ana)C242000-05-04No172 Lbs6 ft0NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Robert HaggMighty Ducks (Ana)D291995-02-08No214 Lbs6 ft1NoNoNo1Pro & Farm1,250,000$0$0$No
UFA
Lien / Lien NHL
Ryan LombergMighty Ducks (Ana)LW301994-12-09No184 Lbs5 ft9NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Lien / Lien NHL
Sebastiann AhoMighty Ducks (Ana)D281996-02-17No180 Lbs5 ft10NoNoNo2Pro & Farm1,925,000$0$0$No1,925,000$
UFA
Lien / Lien NHL
Steven SantiniMighty Ducks (Ana)D291995-03-07No202 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Lien / Lien NHL
Tyler WallMighty Ducks (Ana)G261998-01-14No214 Lbs6 ft3NoNoNo1Pro & Farm907,500$0$0$No
RFA
Lien / Lien NHL
Victor BrattstromMighty Ducks (Ana)G271997-03-22No200 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$No
UFA
Lien / Lien NHL
Viktor LodinMighty Ducks (Ana)LW251999-06-02No185 Lbs6 ft2NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Xavier BernardMighty Ducks (Ana)D242000-06-01No200 Lbs6 ft4NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Xavier OuelletMighty Ducks (Ana)D311993-07-29No200 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.33199 Lbs6 ft21.29972,595$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan Gruden40122
2AJ GreerCurtis DouglasFilip Cederqvist30122
3Ryan LombergJachym Kondelik20122
4Viktor LodinAJ Greer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho40122
2Xavier OuelletSteven Santini30122
3Hunter SkinnerJesper Sellgren20122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan Gruden60122
2AJ GreerCurtis DouglasFilip Cederqvist40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho60122
2Xavier OuelletSteven Santini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1AJ Greer60122
2Ryan Lomberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho60122
2Xavier OuelletSteven Santini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Sebastiann Aho60122
2AJ Greer40122Xavier OuelletSteven Santini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1AJ Greer60122
2Ryan Lomberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho60122
2Xavier OuelletSteven Santini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan GrudenSebastiann Aho
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan GrudenSebastiann Aho
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Bourque, , Viktor LodinGabriel Bourque, Viktor Lodin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Skinner, Jesper Sellgren, Hunter SkinnerJesper Sellgren,
Tirs de pénalité
, AJ Greer, , Ryan Lomberg, Jonathan Gruden
Gardien
#1 : Victor Brattstrom, #2 : Tyler Wall


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bandits413000001120-92110000078-120200000412-820.2501116270084526261156276266242113438309420525.00%14471.43%01065208950.98%1022207349.30%535108649.26%163411321739502854416
2BaronsOKC40400000820-122020000048-420200000412-800.0008162400845262611362762662421143414513021419.05%20385.00%11065208950.98%1022207349.30%535108649.26%163411321739502854416
3BigBadStars2020000037-41010000012-11010000025-300.0003690084526264562762662421501824678225.00%11281.82%01065208950.98%1022207349.30%535108649.26%163411321739502854416
4Checkers431000001156220000006152110000054160.7501121320284526261236276266242181325010621314.29%24291.67%11065208950.98%1022207349.30%535108649.26%163411321739502854416
5Cyclones422000001517-22020000038-522000000129340.50015294400845262612362762662421126226310313323.08%28678.57%01065208950.98%1022207349.30%535108649.26%163411321739502854416
6Darkness11000000431000000000001100000043121.000481200845262627627626624213496264125.00%30100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
7Draveurs21100000912-321100000912-30000000000020.500917260084526266362762662421632310438225.00%5340.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
8Eagles440000001046220000004042200000064281.000101828028452626876276266242186246112010330.00%200100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
9EvilSharks11000000514110000005140000000000021.00059140084526263262762662421171110254125.00%5180.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
10Griffins1010000024-2000000000001010000024-200.00024610845262625627626624211961817300.00%9277.78%01065208950.98%1022207349.30%535108649.26%163411321739502854416
11HC412010001314-120200000610-42100100074340.5001324370084526261286276266242114236441261400.00%16381.25%01065208950.98%1022207349.30%535108649.26%163411321739502854416
12IceBears4210010014131210001007612110000077050.62514274100845262611062762662421112353812120315.00%18383.33%01065208950.98%1022207349.30%535108649.26%163411321739502854416
13IceHawks11000000413000000000001100000041321.00047110084526261762762662421228829100.00%40100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
14IceHogs1010000038-51010000038-50000000000000.000369008452626236276266242143712316233.33%4175.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
15Iceberg403001001018-820200000511-62010010057-210.1251019290084526261136276266242117943361289111.11%18383.33%01065208950.98%1022207349.30%535108649.26%163411321739502854416
16Magics1010000034-11010000034-10000000000000.00035800845262620627626624211876265240.00%20100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
17National1000000112-11000000112-10000000000010.50012300845262623627626624212181234400.00%6183.33%01065208950.98%1022207349.30%535108649.26%163411321739502854416
18Nordiques42100001910-12010000147-32200000053250.6259172600845262691627626624218923368920420.00%16475.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
19Oceanic1010000014-31010000014-30000000000000.000123008452626236276266242142161425300.00%70100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
20Pantheres1010000023-1000000000001010000023-100.00024600845262616627626624215281622100.00%8187.50%01065208950.98%1022207349.30%535108649.26%163411321739502854416
21Remparts41300000923-1420200000314-112110000069-320.2509172600845262610462762662421145486010612433.33%27774.07%01065208950.98%1022207349.30%535108649.26%163411321739502854416
22Roadrunners3200010014131110000005412100010099050.8331426400084526261226276266242111725125912216.67%6183.33%01065208950.98%1022207349.30%535108649.26%163411321739502854416
23Senators1010000012-1000000000001010000012-100.00012300845262628627626624212051019200.00%50100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
24SilverKnights402010101315-22010001056-12010100089-140.500132033008452626926276266242110233351091200.00%13192.31%01065208950.98%1022207349.30%535108649.26%163411321739502854416
25Spiders11000000523110000005230000000000021.0005101500845262640627626624211234206116.67%20100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
26Thunder1010000025-3000000000001010000025-300.000246008452626236276266242137111625300.00%8362.50%01065208950.98%1022207349.30%535108649.26%163411321739502854416
27Vikings32100000880110000005412110000034-140.6678142200845262674627626624218128407516212.50%19478.95%01065208950.98%1022207349.30%535108649.26%163411321739502854416
28WolfPack311000019811010000023-12100000175230.5009182700845262666627626624215717287410110.00%14285.71%01065208950.98%1022207349.30%535108649.26%163411321739502854416
29Wolves1010000024-2000000000001010000024-200.00023500845262617627626624212871426100.00%60100.00%01065208950.98%1022207349.30%535108649.26%163411321739502854416
Total70263502313201250-493411190011294125-3136151602201107125-18640.457201371572148452626188362762662421207259275818752694617.10%3385783.14%21065208950.98%1022207349.30%535108649.26%163411321739502854416
_Since Last GM Reset70263502313201250-493411190011294125-3136151602201107125-18640.457201371572148452626188362762662421207259275818752694617.10%3385783.14%21065208950.98%1022207349.30%535108649.26%163411321739502854416
_Vs Conference55222502312163200-37279150011175102-27281310022018898-10550.500163299462048452626152462762662421165746858814832183716.97%2584682.17%21065208950.98%1022207349.30%535108649.26%163411321739502854416
_Vs Division18910021115283-31737000111732-151163021003551-16260.722529414600845262649862762662421606174188481651116.92%831581.93%11065208950.98%1022207349.30%535108649.26%163411321739502854416

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
7064L420137157218832072592758187514
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7026352313201250
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
341119011294125
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3615162201107125
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2694617.10%3385783.14%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
627626624218452626
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
1065208950.98%1022207349.30%535108649.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
163411321739502854416


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
14Mighty Ducks4SilverKnights6ALSommaire du match
321Roadrunners4Mighty Ducks5BWSommaire du match
536Mighty Ducks2Checkers0AWSommaire du match
753Checkers0Mighty Ducks3BWSommaire du match
1067Mighty Ducks2Bandits4ALSommaire du match
1281IceBears2Mighty Ducks4BWSommaire du match
14101Mighty Ducks0Vikings2ALSommaire du match
16116Bandits3Mighty Ducks4BWSommaire du match
17128Mighty Ducks3Eagles2AWSommaire du match
19143HC5Mighty Ducks2BLSommaire du match
21160Mighty Ducks6Cyclones4AWSommaire du match
23174Cyclones2Mighty Ducks0BLSommaire du match
26193SilverKnights3Mighty Ducks1BLSommaire du match
27203Mighty Ducks0BaronsOKC5ALSommaire du match
29218Mighty Ducks2Nordiques1AWSommaire du match
33238Iceberg5Mighty Ducks1BLSommaire du match
35254SilverKnights3Mighty Ducks4BWXXSommaire du match
38273Mighty Ducks2Pantheres3ALSommaire du match
40287Draveurs7Mighty Ducks3BLSommaire du match
43303Mighty Ducks2Thunder5ALSommaire du match
45318Mighty Ducks3HC2AWXSommaire du match
47332Magics4Mighty Ducks3BLSommaire du match
49350EvilSharks1Mighty Ducks5BWSommaire du match
51362Mighty Ducks6Roadrunners7ALXSommaire du match
53380Cyclones6Mighty Ducks3BLSommaire du match
54387Mighty Ducks3Nordiques2AWSommaire du match
57410Mighty Ducks6Remparts1AWSommaire du match
59423National2Mighty Ducks1BLXXSommaire du match
62437Mighty Ducks3Eagles2AWSommaire du match
64453Mighty Ducks3IceBears2AWSommaire du match
65462Oceanic4Mighty Ducks1BLSommaire du match
68483BaronsOKC4Mighty Ducks2BLSommaire du match
70501Mighty Ducks5WolfPack2AWSommaire du match
71511Mighty Ducks2Bandits8ALSommaire du match
73523Spiders2Mighty Ducks5BWSommaire du match
75544BaronsOKC4Mighty Ducks2BLSommaire du match
78560Mighty Ducks2BigBadStars5ALSommaire du match
79573Nordiques3Mighty Ducks2BLXXSommaire du match
82593Mighty Ducks3Checkers4ALSommaire du match
84604Nordiques4Mighty Ducks2BLSommaire du match
86617Mighty Ducks6Cyclones5AWSommaire du match
88632Mighty Ducks4HC2AWSommaire du match
89641Eagles0Mighty Ducks2BWSommaire du match
92659Mighty Ducks4Darkness3AWSommaire du match
94673Checkers1Mighty Ducks3BWSommaire du match
97694Mighty Ducks3Vikings2AWSommaire du match
99706IceBears4Mighty Ducks3BLXSommaire du match
101727Draveurs5Mighty Ducks6BWSommaire du match
103738Mighty Ducks4BaronsOKC7ALSommaire du match
105752Mighty Ducks2Iceberg3ALXSommaire du match
107764Iceberg6Mighty Ducks4BLSommaire du match
109777Mighty Ducks2Wolves4ALSommaire du match
111795IceHogs8Mighty Ducks3BLSommaire du match
113811Mighty Ducks1Senators2ALSommaire du match
114821Mighty Ducks0Remparts8ALSommaire du match
116832Eagles0Mighty Ducks2BWSommaire du match
119850Mighty Ducks4IceBears5ALSommaire du match
121863HC5Mighty Ducks4BLSommaire du match
123882Mighty Ducks4SilverKnights3AWXSommaire du match
125894BigBadStars2Mighty Ducks1BLSommaire du match
127908Mighty Ducks2WolfPack3ALXXSommaire du match
128918Mighty Ducks3Roadrunners2AWSommaire du match
130929Remparts5Mighty Ducks1BLSommaire du match
133954Vikings4Mighty Ducks5BWSommaire du match
135968Mighty Ducks3Iceberg4ALSommaire du match
136983Mighty Ducks4IceHawks1AWSommaire du match
138992Remparts9Mighty Ducks2BLSommaire du match
1411015Mighty Ducks2Griffins4ALSommaire du match
1421020Bandits5Mighty Ducks3BLSommaire du match
1461049WolfPack3Mighty Ducks2BLSommaire du match
1501077Mighty Ducks-SilverKnights-
1511082Vikings-Mighty Ducks-
1551109Sagueneens-Mighty Ducks-
1591132Sagueneens-Mighty Ducks-
1621157Roadrunners-Mighty Ducks-
1641162Mighty Ducks-Draveurs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711190WolfPack-Mighty Ducks-
1731203Mighty Ducks-Draveurs-



Mighty Ducks Leaders statistiques (saison régulière)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Derek MacKenzie1472265419684-13117220041912249310.63%8932419616.446410717127912183088331548.73%10.57531
2Mike Iggulden302114159273-129751770192812.28%130710723.543453871706392718962.10%00.771041
3Fernando Pisani22986106192914436443075611.38%150504622.04151934784263312442.25%30.76526
4Paul Postma29567120187316731932049713.48%277620221.0343398231330376100.00%20.6012
5Matthew Martin22485931781367650927268112.48%92373916.691319325610177647.35%20.95313

Mighty Ducks Leaders des statistiques des gardiens (saison régulière)
# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1John Grahame18610067150.8893.291098263602544327231330.810105
2Bernd Bruckler1568555150.9091.699400192826529070920.810100
3Paul Dainton138586970.8902.65813512935932730230.83874
4Mackenzie Blackwood1544689170.8723.1589514347036770500.69388
5Igor Bobkov98434850.8802.7656766926121680120.73719

Mighty Ducks Statistiques de l'Équipe de Carrière
TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
203082264500515193260-6741152100212105136-314111240030388124-3664193348541220775758167305405755412278711103823433535515.58%4527982.52%4995220945.04%1265269846.89%590122248.28%1861126620926011006494
203182195001237161271-1104111250012279138-59418250111582133-515516128544602058485115260502483532220058495221463325115.36%4107182.68%21015216846.82%1157256645.09%548120045.67%1916130620296111033508
203282194502187180257-774112200004593130-37417250214287127-406618030748702051546515600499499539194855091319363094715.21%3845884.90%31094219349.89%1137232348.95%589122448.12%2022140619455921036517
203382432701164296248484128100100215310647411517001621431421105296538834150113918527450882922904222263079020923746216.58%3224087.58%21284284045.21%1067241344.22%559131342.57%203214711981567960472
203482313304437315325-1041161502422159159041151802015156166-1087315592907100109107923112010181049994267076384821023516317.95%3667180.60%51370293646.66%1211273144.34%630139445.19%189913632136587944450
20358244260621332927158412710030101751195641171603203154152210732962595413012310990305401035997989246064878020793716216.71%3455384.64%31304287045.44%1219262446.46%613134845.47%190213612103582954459
20368048240610132426658402890200116012436402015041001641422211032461493821012311085290601017931941249871976720663365917.56%3415384.46%51236279744.19%1206267045.17%548129442.35%181913032078573920433
203782264600235239320-8141171900122136150-144192700113103170-67652394256641187707962123745684681392545706103721503354714.03%4298979.25%51302243253.54%1331253652.48%717130554.94%193513562034586995487
203870263502313201250-493411190011294125-3136151602201107125-1864201371572148452626188362762662421207259275818752694617.10%3385783.14%21065208950.98%1022207349.30%535108649.26%163411321739502854416
Total Saison régulière72428233102221264222382468-230361165148089131811541187-3336311718301412132410841281-197723223841056343920171776717538205821372680367615500208935903788318789303049216.24%338757183.14%31106652253447.33%106152263446.90%53291138646.80%170241196918140520387064239
Séries éliminatoires
2033404000001423-920200000511-620200000912-3014284200027513802855431826044972015.00%21480.95%07014149.65%8615754.78%457560.00%10374111284722
2035514000001522-72110000058-3303000001014-421530450005721970655555194664914925416.00%21385.71%09320246.04%9319547.69%448452.38%12386144386432
2036624000002129-8312000001011-1312000001118-742141620007682370816582304667421119315.79%37489.19%011022548.89%12027643.48%5210350.49%13695166406632
Total Séries éliminatoires15312000005074-24725000002030-10817000003044-1465099149000142015572017417518068019216745764812.50%791186.08%027356848.06%29962847.61%14126253.82%36325742210617987

Mighty Ducks Leaders statistiques (séries éliminatoires)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Dylan Hunter239132261945397112.68%842418.45044811231150.34%01.0400
2Fernando Pisani2313821-1750538315.66%1453123.10134500021037.19%00.7900
3Mike Iggulden1671118-1930325113.73%437523.463581100001062.18%00.9600
4Marc-Antoine Pouliot2061016-82419404513.33%136418.21224511241052.21%00.8800
5Chris Neil187815-62546385712.28%1042023.38246700023039.36%00.7100

Mighty Ducks Leaders des statistiques des gardiens (séries éliminatoires)
# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Bernd Bruckler1810530.9171.45111822273240100.0000
2John Grahame2391040.8883.4213510177689352200.0000
3Igor Bobkov52210.8483.9425900171120000.0000
4Dan Ellis30100.9003.03119006600000.0000
5Joey MacDonald10001.0000.0020000117000.0000