Connexion


Centre de jeu
Mighty Ducks
8-8-0, 16pts
2
FINAL
1 Nordiques
4-10-2, 10pts
Team Stats
L1StreakW1
4-4-0Home Record3-5-0
4-4-0Away Record1-5-2
4-6-0Last 10 Games3-6-1
2.44Buts par match 2.13
3.00Buts contre par match 3.44
15.63%Pourcentage en avantage numérique12.16%
86.30%Pourcentage en désavantage numérique79.10%
Iceberg
11-4-0, 22pts
5
FINAL
1 Mighty Ducks
8-8-0, 16pts
Team Stats
W3StreakL1
6-2-0Home Record4-4-0
5-2-0Away Record4-4-0
8-2-0Last 10 Games4-6-0
3.67Buts par match 2.44
2.80Buts contre par match 3.00
13.21%Pourcentage en avantage numérique15.63%
83.12%Pourcentage en désavantage numérique86.30%
SilverKnights
10-4-2, 22pts
Jour 35
Mighty Ducks
8-8-0, 16pts
Stats Équipe
L2SéquenceL1
5-1-2Fiche domicile4-4-0
5-3-0Fiche visiteur4-4-0
5-3-210 derniers matchs4-6-0
4.31Buts par match 2.44
3.44Buts contre par match 3.00
17.57%Pourcentage en avantage numérique15.63%
83.08%Pourcentage en désavantage numérique86.30%
Mighty Ducks
8-8-0, 16pts
Jour 38
Pantheres
11-4-2, 24pts
Stats Équipe
L1SéquenceW3
4-4-0Fiche domicile3-3-2
4-4-0Fiche visiteur8-1-0
4-6-010 derniers matchs6-3-1
2.44Buts par match 4.24
3.00Buts contre par match 3.18
15.63%Pourcentage en avantage numérique18.29%
86.30%Pourcentage en désavantage numérique76.67%
Draveurs
8-7-1, 17pts
Jour 40
Mighty Ducks
8-8-0, 16pts
Stats Équipe
OTW1SéquenceL1
4-3-1Fiche domicile4-4-0
4-4-0Fiche visiteur4-4-0
6-4-010 derniers matchs4-6-0
4.25Buts par match 2.44
4.31Buts contre par match 3.00
15.15%Pourcentage en avantage numérique15.63%
79.41%Pourcentage en désavantage numérique86.30%
Meneurs d'équipe
AJ GreerButs
AJ Greer
6
AJ GreerPasses
AJ Greer
7
AJ GreerPoints
AJ Greer
13
Jonathan GrudenPlus/Moins
Jonathan Gruden
2
Tyler WallVictoires
Tyler Wall
7
Tyler WallPourcentage d’arrêts
Tyler Wall
0.904

Stats Équipe
Buts pour
39
2.44 GFG
Tirs pour
440
27.50 Avg
Pourcentage en avantage numérique
15.6%
10 GF
Début de zone offensive
39.0%
Buts contre
48
3.00 GAA
Tirs contre
490
30.63 Avg
Pourcentage en désavantage numérique
86.3%
10 GA
Début de la zone défensive
41.1%
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 Mineure21
Limite contact 42 / 50
Espoirs7
Historique d'équipe
Saison actuelle8-8-0 (16PTS)
Historique309-304-59 (0.460%)
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 GreerX100.008064787572698353404858654080755025620282925,000$
2Graeme ClarkeX100.0058708179567666554049617090707375216102311,017,500$
3Ryan LombergX100.0096476977477194494042556040847840246003021,500,000$
4Jonathan GrudenX100.0099578276476952484040566540727170245702411,017,500$
5Curtis DouglasX100.009948387599665640704337584072697019560241825,000$
6Viktor LodinX100.005347667558605047404648529974676524540251825,000$
7Gabriel BourqueX100.009652837555605035403734574092762027520342650,000$
8Filip CederqvistX100.006457827569625234402938624072677024510241750,000$
9Carson FochtX100.0061596775496050357034365540726670255002411,017,500$
10Jachym Kondelik (R)X100.004948787550605037703341584074676524500251750,000$
11Johan SodergranX100.007363877568605031402933504074676525490251847,000$
12Dillon HamaliukX100.006256737567605033403136504072667019490241825,000$
13Xavier OuelletX100.008748807561676242405034694086773519630312650,000$
14Steven SantiniX100.0088528375666863394039406940827545246302921,500,000$
15Sebastiann AhoX100.0057418679477783524050546740807950196302821,925,000$
16Robert HaggX100.0099537475705550374036386740826945196102911,250,000$
17Hunter SkinnerX100.0069525275625550344031375640706375225402311,017,500$
18Jesper SellgrenX100.004844847552555041404240504076666019530261700,000$
19Xavier BernardX100.006152767569555029402334504072647020520241825,000$
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 Wall100.00755060955050505050504076636023580261907,500$
2Victor Brattstrom100.00755060935050505050506478645519580271700,000$
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)LW166713-317529346723448.96%734421.5410110330000301145.65%4600100.7500001330
2Ryan LombergMighty Ducks (Ana)LW164610-526055345418377.41%134121.361128390001352139.68%6300000.5900000410
3Jonathan GrudenMighty Ducks (Ana)C1635821602933324239.38%223414.68011280000280040.30%13400000.6800000121
4Jachym KondelikMighty Ducks (Ana)C16156-620136236114.35%523314.570114250000130061.99%27100000.5100000003
5Kevin RooneyDucksC10235-1608252612117.69%219219.291123310001220067.58%18200000.5200000000
6Hunter SkinnerMighty Ducks (Ana)D16213115528780225.00%141378.620001400001100.00%000000.4300010020
7Steven SantiniMighty Ducks (Ana)D16213-920059201771011.76%1523914.95000112000017000.00%000000.2500000002
8Johan SodergranMighty Ducks (Ana)RW11022-260151010340.00%115714.29011325000000025.00%800000.2500000001
9Viktor LodinMighty Ducks (Ana)LW1602204068124120.00%11137.100001140000120033.33%1200000.3500000000
10Filip CederqvistMighty Ducks (Ana)RW16022-200467490.00%1895.57000314000000083.33%600000.4500000100
11Carson FochtMighty Ducks (Ana)C1610115541111169.09%0815.0900000000020059.52%8400000.2500001000
12Xavier OuelletMighty Ducks (Ana)D5011-5601045210.00%18517.1200029000014000.00%000000.2300000100
13Sebastiann AhoMighty Ducks (Ana)D5101-32020893811.11%911022.11101811000021010.00%000000.1800000200
14Curtis DouglasMighty Ducks (Ana)C5000-4201963150.00%06713.52000010000010065.96%9400000.0000000000
15Dillon HamaliukMighty Ducks (Ana)LW5000000000000.00%040.840000000000000.00%000000.0000000000
16Kieffer BellowsDucksLW1000000212040.00%02323.8200000000050066.67%300000.0000000000
17Jesper SellgrenMighty Ducks (Ana)D5000-140111000.00%05511.1900000000010000.00%000000.0000000000
18Xavier BernardMighty Ducks (Ana)D1000000010000.00%077.950000000001000.00%000000.0000000000
19Arber XhekajDucksD3000-3801651230.00%17023.350000600009000.00%000000.0000000000
20Gabriel BourqueMighty Ducks (Ana)LW16000075463110.00%1875.49000070000130028.57%700000.0000100000
Statistiques d’équipe totales ou en moyenne211223557-4014620310256291911917.56%61267912.704594625400022424356.92%91000100.43001121287
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
1Tyler WallMighty Ducks (Ana)127400.9042.9166102323330000.00001116112
2Victor BrattstromMighty Ducks (Ana)51400.8823.5427100161360000.000050010
Statistiques d’équipe totales ou en moyenne178800.8983.0993202484690000.00001616122


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 LodinCarson FochtAJ 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, Dillon Hamaliuk, Viktor LodinGabriel Bourque, Dillon HamaliukViktor 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
1Bandits2110000067-1110000004311010000024-220.50061016001113150621281621500741810448225.00%5180.00%024846353.56%25048751.33%11423648.31%36625440011619494
2BaronsOKC1010000005-5000000000001010000005-500.00000000111315013128162150043101730200.00%6183.33%024846353.56%25048751.33%11423648.31%36625440011619494
3Checkers22000000505110000003031100000020241.00051015021113150631281621500341322571119.09%100100.00%024846353.56%25048751.33%11423648.31%36625440011619494
4Cyclones211000006601010000002-21100000064220.5006121800111315057128162150064832626233.33%16475.00%024846353.56%25048751.33%11423648.31%36625440011619494
5Eagles11000000321000000000001100000032121.00034700111315020128162150022929256116.67%60100.00%024846353.56%25048751.33%11423648.31%36625440011619494
6HC1010000025-31010000025-30000000000000.0002350011131503712816215004092026100.00%40100.00%024846353.56%25048751.33%11423648.31%36625440011619494
7IceBears11000000422110000004220000000000021.0004812001113150371281621500217426300.00%20100.00%024846353.56%25048751.33%11423648.31%36625440011619494
8Iceberg1010000015-41010000015-40000000000000.000123001113150211281621500538628300.00%3166.67%024846353.56%25048751.33%11423648.31%36625440011619494
9Nordiques11000000211000000000001100000021121.00024600111315027128162150013510215240.00%50100.00%024846353.56%25048751.33%11423648.31%36625440011619494
10Roadrunners11000000541110000005410000000000021.000591400111315042128162150035114196233.33%20100.00%024846353.56%25048751.33%11423648.31%36625440011619494
11SilverKnights2020000059-41010000013-21010000046-200.000591400111315043128162150066162748800.00%9188.89%024846353.56%25048751.33%11423648.31%36625440011619494
12Vikings1010000002-2000000000001010000002-200.0000000011131501812816215002571024500.00%5260.00%024846353.56%25048751.33%11423648.31%36625440011619494
Total1688000003948-9844000002024-4844000001924-5160.50039711100211131504401281621500490121191410641015.63%731086.30%024846353.56%25048751.33%11423648.31%36625440011619494
_Since Last GM Reset1688000003948-9844000002024-4844000001924-5160.50039711100211131504401281621500490121191410641015.63%731086.30%024846353.56%25048751.33%11423648.31%36625440011619494
_Vs Conference1688000003948-9844000002024-4844000001924-5160.50039711100211131504401281621500490121191410641015.63%731086.30%024846353.56%25048751.33%11423648.31%36625440011619494
_Vs Division424000001018-82120000067-121200000411-740.50010182800111315098128162150014437489716212.50%17288.24%024846353.56%25048751.33%11423648.31%36625440011619494

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
1616L1397111044049012119141002
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
168800003948
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84400002024
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84400001924
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641015.63%731086.30%0
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
12816215001113150
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
24846353.56%25048751.33%11423648.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
36625440011619494


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
35254SilverKnights-Mighty Ducks-
38273Mighty Ducks-Pantheres-
40287Draveurs-Mighty Ducks-
43303Mighty Ducks-Thunder-
45318Mighty Ducks-HC-
47332Magics-Mighty Ducks-
49350EvilSharks-Mighty Ducks-
51362Mighty Ducks-Roadrunners-
53380Cyclones-Mighty Ducks-
54387Mighty Ducks-Nordiques-
57410Mighty Ducks-Remparts-
59423National-Mighty Ducks-
62437Mighty Ducks-Eagles-
64453Mighty Ducks-IceBears-
65462Oceanic-Mighty Ducks-
68483BaronsOKC-Mighty Ducks-
70501Mighty Ducks-WolfPack-
71511Mighty Ducks-Bandits-
73523Spiders-Mighty Ducks-
75544BaronsOKC-Mighty Ducks-
78560Mighty Ducks-BigBadStars-
79573Nordiques-Mighty Ducks-
82593Mighty Ducks-Checkers-
84604Nordiques-Mighty Ducks-
86617Mighty Ducks-Cyclones-
88632Mighty Ducks-HC-
89641Eagles-Mighty Ducks-
92659Mighty Ducks-Darkness-
94673Checkers-Mighty Ducks-
97694Mighty Ducks-Vikings-
99706IceBears-Mighty Ducks-
101727Draveurs-Mighty Ducks-
103738Mighty Ducks-BaronsOKC-
105752Mighty Ducks-Iceberg-
107764Iceberg-Mighty Ducks-
109777Mighty Ducks-Wolves-
111795IceHogs-Mighty Ducks-
113811Mighty Ducks-Senators-
114821Mighty Ducks-Remparts-
116832Eagles-Mighty Ducks-
119850Mighty Ducks-IceBears-
121863HC-Mighty Ducks-
123882Mighty Ducks-SilverKnights-
125894BigBadStars-Mighty Ducks-
127908Mighty Ducks-WolfPack-
128918Mighty Ducks-Roadrunners-
130929Remparts-Mighty Ducks-
133954Vikings-Mighty Ducks-
135968Mighty Ducks-Iceberg-
136983Mighty Ducks-IceHawks-
138992Remparts-Mighty Ducks-
1411015Mighty Ducks-Griffins-
1421020Bandits-Mighty Ducks-
1461049WolfPack-Mighty Ducks-
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
20381688000003948-9844000002024-4844000001924-51639711100211131504401281621500490121191410641015.63%731086.30%024846353.56%25048751.33%11423648.31%36625440011619494
Total Saison régulière67026430402018253920762266-190335158133088121610801086-63351061710121013239961180-1846752076380558818189873767053219139873633962875479193115432731617324282545616.14%312252483.22%2998482090847.10%98432104846.76%49081053646.58%157561109116801481880453916
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