Connexion


Meneurs d'équipe

Stats Équipe
Information d’équipe
Directeur général
EntraîneurDean Evason
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance
Billets de saison300
Information formation
Équipe Pro20
Équipe Mineure23
Limite contact 43 / 50
Espoirs7
Historique d'équipe
Saison actuelle0-0
Historique333-336-64 (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
1AJ GreerX100.008064787572698353404858654080755025620282925,000$
2Graeme ClarkeX100.0058708179567666554049617090707375416102311,017,500$
3Ryan LombergX100.0096476977477194494042556040847840256003021,500,000$
4Jonathan GrudenX100.0099578276476952484040566540727170255702411,017,500$
5Curtis DouglasX100.009948387599665640704337584072697024560241825,000$
6Viktor LodinX100.005347667558605047404648529974676525540251825,000$
7Gabriel BourqueX100.009652837555605035403734574092762026520342650,000$
8Filip CederqvistX100.006457827569625234402938624072677025510241750,000$
9Carson FochtX100.0061596775496050357034365540726670335002411,017,500$
10Jachym Kondelik (R)X100.004948787550605037703341584074676525500251750,000$
11Johan SodergranX100.007363877568605031402933504074676538490251847,000$
12Dillon HamaliukX100.006256737567605033403136504072667027490241825,000$
13Sebastiann AhoX100.0057418679477783524050546740807950246402821,925,000$
14Xavier OuelletX100.008748807561676242405034694086773524630312650,000$
15Robert HaggX100.0099537475705550374036386740826945406102911,250,000$
16Hunter SkinnerX100.0069525275625550344031375640706375245402311,017,500$
17Jesper SellgrenX100.004844847552555041404240504076666024530261700,000$
18Xavier BernardX100.006152767569555029402334504072647028530241825,000$
Rayé
MOYENNE D’ÉQUIPE 100.00735374766163584145394359467670592856
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 Wall100.00755060955050505050504076636036580261907,500$
2Victor Brattstrom100.00755060935050505050506478645520580271700,000$
Rayé
MOYENNE D’ÉQUIPE100.0075506094505050505050527764582858
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
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


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
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
2026.20199 Lbs6 ft21.25946,225$



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 Ouellet30122
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 Ouellet40122
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 Ouellet40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Sebastiann Aho60122
2AJ Greer40122Xavier Ouellet40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1AJ Greer60122
2Ryan Lomberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastiann Aho60122
2Xavier Ouellet40122
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



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
203878294002313223278-5539122300112104143-3939171702201119135-1670223411634149454726210170869669121231367084420703004615.33%3786582.80%41190234250.81%1146232849.23%588121048.60%182512691937558945461
Total Saison régulière73228533602221264222602496-236366166152089131811641205-4136611918401412132410961291-195729226041456405920181778727538208001453687368285500211345981796918984306149216.07%342757983.10%33107902278747.35%107392288946.92%53821151046.76%172151210618338526087974283
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