Association Québécoise de Hockey Simulé - Hunters 

Hunters

GP: 16 | W: 7 | L: 8 | OTL: 1 | P: 15
GF: 54 | GA: 48 | PP%: 13.73% | PK%: 77.42%
DG: Samuel Lachapelle | Morale : 90 | Moyenne d'Équipe : 56
Prochain matchs #255 vs Vandals
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Jakob Pelletier (R)X100.00604593844571405730546060678273090590
2Thomas BordeleauX100.00504595804976404930485063508173090560
3Samuel Fagemo (R)X100.00514595786650405130445855658370090550
4Cole Reinhardt (R)X100.00504595766650404530405055508370090530
5Hendrix Lapierre (R)X100.00504595785650404530405055508168090520
6Jean-Luc Foudy (R)X100.00504587795250404530405055508067090520
7Tyler Kleven (R)X100.00564592776961404930485063508170090600
8Tobias Bjornfot (R)X100.00594587766160404730445064508270090590
9Thomas Harley (R)X100.00504592766970404930485055508172090590
10Carl DahlstromX100.00504595728550404530405055508875090580
11Mac Hollowell (R)X100.00504592814054404930485061508472090570
12Will ButcherX100.00504595775250404530405055508875090560
Rayé
MOYENNE D'ÉQUIPE100.0052459378595840483045525853837109056
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Alexei Melnichuk (R)100.0070404085656565656565658269090580
Rayé
MOYENNE D'ÉQUIPE100.007040408565656565656565826909058
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates65656565957350CAN613700,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Thomas BordeleauHunters (MON)RW16415-555332992113.79%218211.3900000000000037.50%832000.5500010202
2Thomas HarleyHunters (MON)D3011300001010.00%35618.960000401104000.00%000000.3500000001
3Mac HollowellHunters (MON)D16000000021000.00%0623.910000000000000.00%000000.0000000110
4Tyler KlevenHunters (MON)D10000720364650.00%2122022.03000026000027000.00%018000.0000000110
5Carl DahlstromHunters (MON)D3000200000000.00%03812.880000000000000.00%002000.0000000000
6Will ButcherHunters (MON)D3000-200100000.00%1113.990000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne5142657571135152711.43%2757211.230000300110310037.50%8412000.2100010423
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
1Collin DeliaMoncton Wildcats10100.7736.12490052211000.000010000
Stats d'équipe Total ou en Moyenne10100.7736.12490052211000.000010000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alexei MelnichukHunters (MON)G251998-06-29Yes190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm800,000$0$0$No
Carl DahlstromHunters (MON)D281995-01-28No229 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm900,000$0$0$No
Cole ReinhardtHunters (MON)LW232000-02-01Yes200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm850,000$0$0$No
Hendrix LapierreHunters (MON)C212002-02-09Yes180 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Jakob PelletierHunters (MON)LW222001-03-07Yes170 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm1,200,000$0$0$No
Jean-Luc FoudyHunters (MON)C212002-05-13Yes177 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Mac HollowellHunters (MON)D251998-09-26Yes170 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm950,000$0$0$No
Samuel FagemoHunters (MON)LW232000-03-14Yes200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Thomas BordeleauHunters (MON)RW212002-01-03No175 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,200,000$0$0$No
Thomas HarleyHunters (MON)D222001-08-19Yes205 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm5,000,000$0$0$No
Tobias BjornfotHunters (MON)D222001-04-06Yes200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Tyler KlevenHunters (MON)D212002-01-10Yes200 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm950,000$0$0$No
Will ButcherHunters (MON)D281995-01-06No190 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm950,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1323.23191 Lbs6 ft02.691,244,231$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
135122
230122
3Thomas Bordeleau25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
230122
325122
4Mac Hollowell10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Thomas Bordeleau, , Thomas Bordeleau
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Mac Hollowell, Mac Hollowell
Tirs de Pénalité
, , , ,
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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bandits302001001013-31010000034-12010010079-210.16710203000161819166841261311752924367114.29%11463.64%013527050.00%14528351.24%13925953.67%496379256108208105
2CoolFm2020000059-41010000013-21010000046-200.00059141016181914284126131168201620000.00%8362.50%113527050.00%14528351.24%13925953.67%496379256108208105
3Goons3120000079-2211000006601010000013-220.3337142100161819164841261311863147279111.11%16193.75%013527050.00%14528351.24%13925953.67%496379256108208105
4Husky21001000642110000003211000100032141.0006121800161819144841261311491822321119.09%11190.91%013527050.00%14528351.24%13925953.67%496379256108208105
5Igloos42200000161242200000011472020000058-340.500163147011618191818412613117624574012216.67%11463.64%013527050.00%14528351.24%13925953.67%496379256108208105
Total1668011005448685300000291910815011002529-4150.4695410515912161819134284126131138913128117151713.73%621477.42%113527050.00%14528351.24%13925953.67%496379256108208105
7Vipers11000000505110000005050000000000021.0005101501161819124841261311144487114.29%20100.00%013527050.00%14528351.24%13925953.67%496379256108208105
8Xpress11000000514000000000001100000051421.00059140016181912184126131121511185120.00%3166.67%013527050.00%14528351.24%13925953.67%496379256108208105
_Since Last GM Reset1668011005448685300000291910815011002529-4150.4695410515912161819134284126131138913128117151713.73%621477.42%113527050.00%14528351.24%13925953.67%496379256108208105
_Vs Conference155801100494817430000024195815011002529-4130.433499514411161819131884126131137512727716344613.64%601476.67%113527050.00%14528351.24%13925953.67%496379256108208105
_Vs Division155801100494817430000024195815011002529-4130.433499514411161819131884126131137512727716344613.64%601476.67%113527050.00%14528351.24%13925953.67%496379256108208105

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1615W25410515934238913128117112
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
166811005448
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85300002919
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
81511002529
Derniers 10 Matchs
WLOTWOTL SOWSOL
451000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
51713.73%621477.42%1
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
8412613111618191
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
13527050.00%14528351.24%13925953.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
496379256108208105


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2024-04-064Hunters4Igloos5LSommaire du Match
3 - 2024-04-0823Igloos0Hunters6WSommaire du Match
4 - 2024-04-0935Hunters4CoolFm6LSommaire du Match
6 - 2024-04-1150Goons2Hunters3WSommaire du Match
7 - 2024-04-1267Hunters5Bandits6LXSommaire du Match
8 - 2024-04-1381Goons4Hunters3LSommaire du Match
10 - 2024-04-1597Hunters1Igloos3LSommaire du Match
11 - 2024-04-16113Igloos4Hunters5WSommaire du Match
13 - 2024-04-18131Hunters3Husky2WXSommaire du Match
14 - 2024-04-19142Hunters1Goons3LSommaire du Match
15 - 2024-04-20152Husky2Hunters3WSommaire du Match
17 - 2024-04-22175CoolFm3Hunters1LSommaire du Match
19 - 2024-04-24195Bandits4Hunters3LSommaire du Match
20 - 2024-04-25212Hunters2Bandits3LSommaire du Match
21 - 2024-04-26220Hunters5Xpress1WSommaire du Match
22 - 2024-04-27236Vipers0Hunters5WSommaire du Match
24 - 2024-04-29255Hunters-Vandals-
25 - 2024-04-30263Hunters-Bayou-
26 - 2024-05-01277Grizzlies-Hunters-
28 - 2024-05-03297Goons-Hunters-
30 - 2024-05-05316Hunters-Snowbirds-
31 - 2024-05-06325Hunters-TigersCats-
32 - 2024-05-07339Farmers-Hunters-
34 - 2024-05-09361Smirnoff Ice-Hunters-
35 - 2024-05-10372Hunters-Supreme-
37 - 2024-05-12388Hunters-Marlies-
38 - 2024-05-13399Spartans-Hunters-
40 - 2024-05-15420Hunters-Smirnoff Ice-
41 - 2024-05-16430Outlaws-Hunters-
43 - 2024-05-18449Hunters-Husky-
44 - 2024-05-19462Barracudas-Hunters-
45 - 2024-05-20479Bayou-Hunters-
47 - 2024-05-22499Hunters-Xpress-
48 - 2024-05-23515Twins-Hunters-
50 - 2024-05-25531Hunters-Wolves-
51 - 2024-05-26542Hunters-Chiwawa-
52 - 2024-05-27555Marmots-Hunters-
54 - 2024-05-29577Hunters-Rockets-
55 - 2024-05-30587Marlies-Hunters-
56 - 2024-05-31600Hunters-Scorpions-
58 - 2024-06-02617Snowbirds-Hunters-
60 - 2024-06-04634Hunters-Warriors-
61 - 2024-06-05649Thugs-Hunters-
63 - 2024-06-07670Saguenéens-Hunters-
65 - 2024-06-09691Raptors-Hunters-
66 - 2024-06-10705Hunters-Spartans-
67 - 2024-06-11716Hunters-Saguenéens-
68 - 2024-06-12728Supreme-Hunters-
69 - 2024-06-13740Hunters-Vipers-
71 - 2024-06-15756Hunters-Igloos-
72 - 2024-06-16772Scorpions-Hunters-
73 - 2024-06-17790Hunters-Outlaws-
74 - 2024-06-18802Predateurs-Hunters-
76 - 2024-06-20821Bandits-Hunters-
78 - 2024-06-22845CoolFm-Hunters-
79 - 2024-06-23855Hunters-Goons-
80 - 2024-06-24872Hunters-Barracudas-
81 - 2024-06-25879Hunters-Thugs-
83 - 2024-06-27896Wolves-Hunters-
85 - 2024-06-29918Igloos-Hunters-
87 - 2024-07-01940Hunters-Farmers-
88 - 2024-07-02952Hunters-Marmots-
89 - 2024-07-03958Xpress-Hunters-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05980Vandals-Hunters-
92 - 2024-07-06995Hunters-Predateurs-
93 - 2024-07-071011Rockets-Hunters-
95 - 2024-07-091029Husky-Hunters-
96 - 2024-07-101042Hunters-Twins-
99 - 2024-07-131065TigersCats-Hunters-
102 - 2024-07-161089Hunters-Raptors-
103 - 2024-07-171095Chiwawa-Hunters-
104 - 2024-07-181101Hunters-CoolFm-
106 - 2024-07-201126Hunters-CoolFm-
107 - 2024-07-211140Xpress-Hunters-
108 - 2024-07-221146Hunters-Grizzlies-
111 - 2024-07-251166Warriors-Hunters-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance15,9407,981
Assistance PCT99.63%99.76%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
30 2990 - 99.67% 101,642$813,138$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
460,955$ 1,617,500$ 1,617,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 318,470$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,049,268$ 90 20,509$ 1,845,810$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
4582314102431224252-2841191901101121122-141122201330103130-2777224400624135583817194450568074630200869087611322173013.82%2545976.77%9641131948.60%653135148.33%629125949.96%2188157916275841132562
4682372605923282242404117120461113311419412014013121491282110028252780942481061218206351170881840195464893511752425121.07%2576176.26%2735138153.22%717137652.11%666123154.10%2298168115385941140565
471668011005448685300000291910815011002529-4155410515912161819134284126131138913128117151713.73%621477.42%113527050.00%14528351.24%13925953.67%496379256108208105
Total Saison Régulière180747508145456054218904134057122832552890334103742277287-1019256010321592671192072211643491100151416957143511469209224785108817.25%57313476.61%121511297050.88%1515301050.33%1434274952.16%498336403423128624811233