Connexion


Centre de jeu
Mighty Ducks
28-31-6, 62pts
3
FINAL
6 HC
40-21-4, 84pts
Team Stats
W1StreakW2
16-13-4Home Record28-3-2
12-18-2Away Record12-18-2
2-7-1Last 10 Games6-3-1
3.11Buts par match 4.12
3.43Buts contre par match 3.49
14.06%Pourcentage en avantage numérique19.01%
80.89%Pourcentage en désavantage numérique84.33%
BigBadStars
36-26-4, 76pts
4
FINAL
5 Mighty Ducks
28-31-6, 62pts
Team Stats
W1StreakW1
20-10-3Home Record16-13-4
16-16-1Away Record12-18-2
5-4-1Last 10 Games2-7-1
3.86Buts par match 3.11
3.47Buts contre par match 3.43
15.13%Pourcentage en avantage numérique14.06%
78.87%Pourcentage en désavantage numérique80.89%
Mighty Ducks
28-31-6, 62pts
Jour 141
Roadrunners
34-27-5, 73pts
Stats Équipe
W1SéquenceW1
16-13-4Fiche domicile19-10-3
12-18-2Fiche visiteur15-17-2
2-7-110 derniers matchs3-4-3
3.11Buts par match 3.08
3.43Buts contre par match 3.05
14.06%Pourcentage en avantage numérique16.79%
80.89%Pourcentage en désavantage numérique82.49%
Mighty Ducks
28-31-6, 62pts
Jour 143
Iceberg
38-20-6, 82pts
Stats Équipe
W1SéquenceL1
16-13-4Fiche domicile22-7-4
12-18-2Fiche visiteur16-13-2
2-7-110 derniers matchs7-1-2
3.11Buts par match 3.77
3.43Buts contre par match 3.41
14.06%Pourcentage en avantage numérique17.41%
80.89%Pourcentage en désavantage numérique86.92%
Mighty Ducks
28-31-6, 62pts
Jour 144
Darkness
18-42-6, 42pts
Stats Équipe
W1SéquenceL5
16-13-4Fiche domicile10-21-2
12-18-2Fiche visiteur8-21-4
2-7-110 derniers matchs2-8-0
3.11Buts par match 2.11
3.43Buts contre par match 3.11
14.06%Pourcentage en avantage numérique14.34%
80.89%Pourcentage en désavantage numérique84.32%
Meneurs d'équipe
AJ GreerButs
AJ Greer
25
Sebastiann AhoPasses
Sebastiann Aho
40
AJ GreerPoints
AJ Greer
51
Ryan LombergPlus/Moins
Ryan Lomberg
5

Stats Équipe
Buts pour
202
3.11 GFG
Tirs pour
2181
33.55 Avg
Pourcentage en avantage numérique
14.1%
35 GF
Début de zone offensive
40.5%
Buts contre
223
3.43 GAA
Tirs contre
2035
31.31 Avg
Pourcentage en désavantage numérique
80.9%
60 GA
Début de la zone défensive
40.6%
Information d’équipe
Directeur général
EntraîneurGeordie Kinnear
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs7
Historique d'équipe
Saison actuelle28-31-6 (62PTS)
Historique361-367-68 (0.454%)
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
1Arttu Hyry (R)X100.007351868568766655705159709070737536640243575,000$
2AJ GreerX100.009969587572719854405156664080765027630291925,000$
3Martin FrkX100.005951718068766662406063539986813536630323575,000$
4Ryan LombergX100.0075597679476998524050536140847740316103111,500,000$
5Kieffer BellowsX100.008348847761725654404959614076746036600271600,000$
6Curtis DouglasX100.009948537599726240703743604072727036570251907,500$
7Jonathan GrudenX100.0099576875576959377034417040727170365502511,120,000$
8Viktor LodinX100.005347667558605047404648529974676536540261907,500$
9Filip CederqvistX100.006457827569605034402938624072667036510251825,000$
10Jachym KondelikX100.004948787550605037703341584074676522500261825,000$
11Johan SodergranX100.007363877568605031402933504074676521490261931,700$
12Vincent DesharnaisX100.0080747275887678474045507140807850366702952,000,000$
13Parker WotherspoonX100.0072478676598081514049527140787955366602811,300,000$
14Connor CarrickX100.006363588155676258405065654084764036630313575,000$
15Steven SantiniX100.0088528375746257394036437040827245366303011,500,000$
16Xavier OuelletX100.008748807561555042405034694086713536610321650,000$
17Hunter SkinnerX100.0069526275667570414037446240707375366002411,120,000$
18Sebastiann AhoX100.0057418476485550464063305940806850285702911,925,000$
19Xavier BernardX100.006152737574555030403030654072647036560251907,500$
Rayé
1Carson FochtX100.0061596775496050357034365540726670204902511,120,000$
2Dillon HamaliukX100.006256737567605033403136504072667020490251907,500$
MOYENNE D’ÉQUIPE 100.00735474766566624447434562487772583258
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
1Oscar Dansk100.00756565925050505050504084674052600313575,000$
2Olle Eriksson-Ek100.00755060875050505050504074626549570263575,000$
Rayé
MOYENNE D’ÉQUIPE100.0075586390505050505050407965535159
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geordie Kinnear58777371877566CAN525200,000$


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)LW6525265131135275181268841839.33%28125319.28303132911292375146.15%9100000.810101019155
2Sebastiann AhoMighty Ducks (Ana)D6554045-56201451156918437.25%82130920.15369561640000148100.00%000000.6900000101116
3Ryan LombergMighty Ducks (Ana)LW65171229556101251381363710512.50%1369710.73000001015991136.36%4400000.830010112814
Statistiques d’équipe totales ou en moyenne19547781253231155454344731393319.94%123325916.72661269193213144857242.96%13500000.7701111413435
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
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


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 Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
AJ GreerMighty Ducks (Ana)LW291996-12-14No209 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$No
UFA
Lien / Lien NHL
Arttu HyryMighty Ducks (Ana)C242001-04-06Yes209 Lbs6 ft1NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
RFA
Lien / Lien NHL
Carson FochtMighty Ducks (Ana)C252000-02-04No175 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$0$0$No
RFA
Lien / Lien NHL
Connor CarrickMighty Ducks (Ana)D311994-04-13No192 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Curtis DouglasMighty Ducks (Ana)C252000-03-06No242 Lbs6 ft9NoNoNo1Pro & Farm907,500$0$0$No
RFA
Lien / Lien NHL
Dillon HamaliukMighty Ducks (Ana)LW252000-10-30No200 Lbs6 ft3NoNoNo1Pro & Farm907,500$0$0$No
RFA
Lien / Lien NHL
Filip CederqvistMighty Ducks (Ana)RW252000-08-23No203 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Hunter SkinnerMighty Ducks (Ana)D242001-04-29No198 Lbs6 ft3NoNoNo1Pro & Farm1,120,000$0$0$No
RFA
Lien / Lien NHL
Jachym KondelikMighty Ducks (Ana)C261999-12-21No232 Lbs6 ft7NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Johan SodergranMighty Ducks (Ana)RW261999-11-20No205 Lbs6 ft2NoNoNo1Pro & Farm931,700$0$0$No
RFA
Lien / Lien NHL
Jonathan GrudenMighty Ducks (Ana)C252000-05-04No192 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$0$0$No
RFA
Lien / Lien NHL
Kieffer BellowsMighty Ducks (Ana)LW271998-06-10No195 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
UFA
Lien / Lien NHL
Martin FrkMighty Ducks (Ana)LW321993-10-05No210 Lbs6 ft1NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Olle Eriksson-EkMighty Ducks (Ana)G261999-06-22No183 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Oscar DanskMighty Ducks (Ana)G311994-02-28No201 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Parker WotherspoonMighty Ducks (Ana)D281997-08-24No192 Lbs6 ft1NoNoNo1Pro & Farm1,300,000$0$0$No
UFA
Lien / Lien NHL
Ryan LombergMighty Ducks (Ana)LW311994-12-09No184 Lbs5 ft9NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Lien / Lien NHL
Sebastiann AhoMighty Ducks (Ana)D291996-02-17No180 Lbs5 ft10NoNoNo1Pro & Farm1,925,000$0$0$No
UFA
Lien / Lien NHL
Steven SantiniMighty Ducks (Ana)D301995-03-07No214 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Lien / Lien NHL
Viktor LodinMighty Ducks (Ana)LW261999-06-02No185 Lbs6 ft2NoNoNo1Pro & Farm907,500$0$0$No
RFA
Lien / Lien NHL
Vincent DesharnaisMighty Ducks (Ana)D291996-05-29No226 Lbs6 ft7YesNoNo5Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$
UFA
Lien / Lien NHL
Xavier BernardMighty Ducks (Ana)D252000-01-06No210 Lbs6 ft4NoNoNo1Pro & Farm907,500$0$0$No
RFA
Lien / Lien NHL
Xavier OuelletMighty Ducks (Ana)D321993-07-29No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.43202 Lbs6 ft21.61993,335$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2AJ Greer30122
3Ryan Lomberg20122
4AJ Greer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho40122
230122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2AJ Greer40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1AJ Greer60122
2Ryan Lomberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Sebastiann Aho60122
2AJ Greer4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1AJ Greer60122
2Ryan Lomberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sebastiann Aho
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sebastiann Aho
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, AJ Greer, , Ryan Lomberg,
Gardien
#1 : , #2 :


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
1Bandits2020000039-61010000015-41010000024-200.000358008266513667616777331292222052600.00%10370.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
2BaronsOKC2110000078-11010000014-31100000064220.500713200082665137376167773312821318579111.11%9277.78%0986217045.44%961217844.12%425101242.00%153611021631457754359
3BigBadStars11000000541110000005410000000000021.00051015008266513617616777331241166246116.67%20100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
4Checkers412010001013-31010000024-23110100089-140.5001020300082665131237616777331210533718715213.33%29775.86%0986217045.44%961217844.12%425101242.00%153611021631457754359
5Cyclones21100000532110000004131010000012-120.50059140082665135876167773312481321429222.22%8187.50%0986217045.44%961217844.12%425101242.00%153611021631457754359
6Darkness11000000202000000000001100000020221.00024601826651327761677733121858183133.33%40100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
7Draveurs733001002630-4311001001113-2422000001517-270.50026477300826651323776167773312261787819928310.71%38684.21%0986217045.44%961217844.12%425101242.00%153611021631457754359
8Eagles2020000057-21010000034-11010000023-100.00051015008266513597616777331240153341100.00%11281.82%0986217045.44%961217844.12%425101242.00%153611021631457754359
9EvilSharks1010000034-11010000034-10000000000000.00036900826651332761677733123099315240.00%20100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
10Griffins11000000312000000000001100000031221.000369008266513247616777331230912247114.29%6183.33%0986217045.44%961217844.12%425101242.00%153611021631457754359
11HC623001001524-93200010098130300000616-1050.4171527420082665131857616777331225985671702827.14%27774.07%1986217045.44%961217844.12%425101242.00%153611021631457754359
12IceHawks10001000321100010003210000000000021.00035800826651323761677733122251720500.00%6183.33%0986217045.44%961217844.12%425101242.00%153611021631457754359
13IceHogs11000000642110000006420000000000021.0006111700826651347761677733123038195120.00%50100.00%1986217045.44%961217844.12%425101242.00%153611021631457754359
14Iceberg1010000012-11010000012-10000000000000.000123008266513267616777331236158464125.00%40100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
15Magics1010000023-11010000023-10000000000000.00023500826651334761677733122491423300.00%6183.33%0986217045.44%961217844.12%425101242.00%153611021631457754359
16National11000000211110000002110000000000021.00024600826651332761677733121981028700.00%4175.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
17Nordiques412000011113-21100000041330200001712-530.375112031008266513122761677733121021846971715.88%220100.00%1986217045.44%961217844.12%425101242.00%153611021631457754359
18Oceanic11000000431000000000001100000043121.00048120082665134076167773312145424100.00%10100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
19Pantheres1010000034-1000000000001010000034-100.00036900826651341761677733124871217300.00%7357.14%0986217045.44%961217844.12%425101242.00%153611021631457754359
20Remparts42100100121111010000012-132000100119250.62512213300826651315876167773312155373615115320.00%160100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
21Roadrunners522010002220242101000171431010000056-160.6002242640082665131887616777331215839361566116.67%18950.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
22Sagueneens11000000211110000002110000000000021.00024600826651339761677733121541220400.00%6183.33%0986217045.44%961217844.12%425101242.00%153611021631457754359
23Senators11000000413110000004130000000000021.0004711008266513307616777331216512252150.00%60100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
24SilverKnights504001001623-72010010079-230300000914-510.10016284410826651317276167773312139345110921314.29%23673.91%1986217045.44%961217844.12%425101242.00%153611021631457754359
25Spiders1000010034-11000010034-10000000000010.5003580082665132476167773312461012285240.00%5260.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
26Thunder1010000069-3000000000001010000069-300.00061117008266513407616777331246118275360.00%4175.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
27Vikings413000001015-5312000009901010000016-520.2501020300082665131277616777331296414611614321.43%22577.27%0986217045.44%961217844.12%425101242.00%153611021631457754359
28WolfPack22000000532110000003211100000021141.0005101500826651361761677733124719205010110.00%8187.50%0986217045.44%961217844.12%425101242.00%153611021631457754359
29Wolves11000000615000000000001100000061521.0006121800826651332761677733121651018500.00%50100.00%0986217045.44%961217844.12%425101242.00%153611021631457754359
Total65253103501202223-213314130240010310213211180110199121-22620.477202376578118266513218176167773312203557370517192493514.06%3146080.89%4986217045.44%961217844.12%425101242.00%153611021631457754359
_Since Last GM Reset65253103501202223-213314130240010310213211180110199121-22620.477202376578118266513218176167773312203557370517192493514.06%3146080.89%4986217045.44%961217844.12%425101242.00%153611021631457754359
_Vs Conference50162702401148181-3324911013007378-5267160110175103-28410.410148274422108266513165576167773312162046255113731832312.57%2454980.00%3986217045.44%961217844.12%425101242.00%153611021631457754359
_Vs Division191118014017172-1876013002629-3114120010145432290.7637113120211826651369076167773312614144167536641218.75%791877.22%1986217045.44%961217844.12%425101242.00%153611021631457754359

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
6562W120237657821812035573705171911
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6525313501202223
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3314132400103102
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321118110199121
Derniers 10 matchs
WLOTWOTL SOWSOL
270001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2493514.06%3146080.89%4
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
761677733128266513
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
986217045.44%961217844.12%425101242.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
153611021631457754359


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
11Mighty Ducks3Checkers1AWSommaire du match
320Roadrunners5Mighty Ducks4BLSommaire du match
529Mighty Ducks5Draveurs6ALSommaire du match
746Nordiques1Mighty Ducks4BWSommaire du match
1063Mighty Ducks3Remparts4ALXSommaire du match
1278Vikings1Mighty Ducks5BWSommaire du match
16101HC3Mighty Ducks4BWSommaire du match
19120Mighty Ducks5Roadrunners6ALSommaire du match
21135Roadrunners5Mighty Ducks6BWXSommaire du match
23151Mighty Ducks1HC4ALSommaire du match
25167Remparts2Mighty Ducks1BLSommaire du match
30192SilverKnights4Mighty Ducks3BLXSommaire du match
31207Mighty Ducks4SilverKnights6ALSommaire du match
34224Draveurs3Mighty Ducks2BLXSommaire du match
36242Mighty Ducks1Draveurs5ALSommaire du match
37252Draveurs5Mighty Ducks6BWSommaire du match
39269Mighty Ducks3Griffins1AWSommaire du match
41281Mighty Ducks6Thunder9ALSommaire du match
43293Bandits5Mighty Ducks1BLSommaire du match
46316IceHogs4Mighty Ducks6BWSommaire du match
48330Mighty Ducks1Vikings6ALSommaire du match
50342Mighty Ducks2Eagles3ALSommaire du match
51355Mighty Ducks1Cyclones2ALSommaire du match
53363HC3Mighty Ducks2BLXSommaire du match
56387BaronsOKC4Mighty Ducks1BLSommaire du match
59409Mighty Ducks3SilverKnights4ALSommaire du match
60419HC2Mighty Ducks3BWSommaire du match
63439Mighty Ducks4Oceanic3AWSommaire du match
64449Roadrunners3Mighty Ducks4BWSommaire du match
66463Mighty Ducks2HC6ALSommaire du match
68481Vikings4Mighty Ducks2BLSommaire du match
70499Mighty Ducks4Remparts2AWSommaire du match
72511Vikings4Mighty Ducks2BLSommaire du match
75532Eagles4Mighty Ducks3BLSommaire du match
77546Mighty Ducks2Bandits4ALSommaire du match
78560Mighty Ducks6BaronsOKC4AWSommaire du match
80569Mighty Ducks2Darkness0AWSommaire du match
81580Spiders4Mighty Ducks3BLXSommaire du match
83593Mighty Ducks3Nordiques5ALSommaire du match
85611WolfPack2Mighty Ducks3BWSommaire du match
88633Roadrunners1Mighty Ducks3BWSommaire du match
91652Mighty Ducks2WolfPack1AWSommaire du match
92663Magics3Mighty Ducks2BLSommaire du match
95681Mighty Ducks5Draveurs4AWSommaire du match
97693Senators1Mighty Ducks4BWSommaire du match
99708Mighty Ducks6Wolves1AWSommaire du match
101723Cyclones1Mighty Ducks4BWSommaire du match
103738Mighty Ducks4Draveurs2AWSommaire du match
105751Mighty Ducks1Checkers5ALSommaire du match
107762National1Mighty Ducks2BWSommaire du match
109778Mighty Ducks4Remparts3AWSommaire du match
110790SilverKnights5Mighty Ducks4BLSommaire du match
114812Mighty Ducks4Checkers3AWXSommaire du match
116827IceHawks2Mighty Ducks3BWXSommaire du match
118839Mighty Ducks2Nordiques4ALSommaire du match
120853Checkers4Mighty Ducks2BLSommaire du match
123874Mighty Ducks3Pantheres4ALSommaire du match
124889Draveurs5Mighty Ducks3BLSommaire du match
127908Mighty Ducks2Nordiques3ALXXSommaire du match
128917EvilSharks4Mighty Ducks3BLSommaire du match
131939Mighty Ducks2SilverKnights4ALSommaire du match
132949Iceberg2Mighty Ducks1BLSommaire du match
135973Sagueneens1Mighty Ducks2BWSommaire du match
136983Mighty Ducks3HC6ALSommaire du match
1391003BigBadStars4Mighty Ducks5BWSommaire du match
1411016Mighty Ducks-Roadrunners-
1431030Mighty Ducks-Iceberg-
1441040Mighty Ducks-Darkness-
1451049Nordiques-Mighty Ducks-
1481073Oceanic-Mighty Ducks-
1511092Mighty Ducks-Vikings-
1521096Mighty Ducks-BigBadStars-
1541109SilverKnights-Mighty Ducks-
1561127Mighty Ducks-Vikings-
1581138Darkness-Mighty Ducks-
1611163Mighty Ducks-Roadrunners-
1621171Nordiques-Mighty Ducks-
1661196Mighty Ducks-IceHawks-
1681205IceBears-Mighty Ducks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721227Remparts-Mighty Ducks-
1731237Mighty Ducks-IceBears-
1791267Remparts-Mighty Ducks-



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
5AJ Greer2218693179-1530572656881110.60%73461720.89178251121121918442.41%00.78312

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
203878294002313223278-5539122300112104143-3939171702201119135-1670223411634149454726210170869669121231367084420703004615.33%3786582.80%41190234250.81%1146232849.23%588121048.60%182512691937558945461
203965253103501202223-213314130240010310213211180110199121-2262202376578118266513218176167773312203557370517192493514.06%3146080.89%4986217045.44%961217844.12%425101242.00%153611021631457754359
Total Saison régulière79731036702526264324622719-25739918016501013131812671307-4039813020201513132511951412-2177912462452169831021263844778541229812214755075615512231696554867420703331052715.92%374163982.92%37117762495747.19%117002506746.67%58071252246.37%187511320919970571795514642
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