Hartford Wolf Pack

GP: 5 | W: 1 | L: 4
GF: 14 | GA: 25 | PP%: 25.00% | PK%: 45.45%
DG: Alain Moro | Morale : 26 | Moyenne d'Équipe : 59
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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
1Chandler Stephenson (A)XX100.006742997973628655505962802560626575640
2Michael Rasmussen (R)XX100.007955867285627374386364642551516780630
3Carter VerhaegheX100.007368867068758368786161647554546977630
4Kalle KossilaXXX100.007264896964727465806264646146466778620
5Philippe Maillet (R)X100.007366906366788264806461645844446682610
6Karson Kuhlman (R)XX100.006541936566627560256470662545456879600
7Gemel SmithXX100.007142997268527154445662722555556579600
8Patrick RussellXX100.007775826275767963506058656144446576600
9Jordan Kyrou (R)XX100.005740918165557756266157572545456179580
10Sam VigneaultX100.008078846578697453665546644444445774570
11Scott EansorXX100.006861846861636651644157585444445849540
12Troy Josephs (R)X100.007668936268515151645444624244445438530
13Rasmus AnderssonX100.006953907977699063255648612554546177640
14Anthony Bitetto (C)X100.008746897077595656254946617561625873600
15Jake Dotchin (A)X100.009279497280586152254547622556565664600
16Sami NikuX100.006141977566648157255048612546465879590
17Mitch Reinke (R)X100.007466916666697258255249634744445985590
18Josh Mahura (R)X100.006341916665657560255948592545455868580
Rayé
MOYENNE D'ÉQUIPE100.00725788707065745945565564414949627360
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
1Kevin Boyle100.00597088785861526256553044445977590
2Adam Huska (R)100.00455063884244505245463044444779510
Rayé
MOYENNE D'ÉQUIPE100.0052607683505351575151304444537855
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Willie Desjardins84695781735370CAN583600,000$


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
1Michael RasmussenHartford Wolf Pack (NYR)C/RW5145-59511515676.67%29118.3810118000001062.50%855001.0900100000
2Kalle KossilaHartford Wolf Pack (NYR)C/LW/RW5415-520962081120.00%19519.131125900011000.00%281001.0500000000
3Karson KuhlmanHartford Wolf Pack (NYR)C/RW5033-60010713690.00%08116.220221900000000.00%511000.7400000000
4Gemel SmithHartford Wolf Pack (NYR)C/LW521330072152813.33%48116.29000080000200100.00%253000.7400000000
5Chandler StephensonHartford Wolf Pack (NYR)C/LW5213-500351221516.67%49018.0700000000070045.45%1183000.6600000100
6Philippe MailletHartford Wolf Pack (NYR)C5123-55529105510.00%310220.4910119000170049.61%12923000.5900001000
7Carter VerhaegheHartford Wolf Pack (NYR)C5033-5751211145130.00%49218.5901108000020052.87%8753000.6500010010
8Jordan KyrouHartford Wolf Pack (NYR)C/RW51122002492411.11%26312.660000000000000.00%762000.6300000000
9Jake DotchinHartford Wolf Pack (NYR)D5112-34014442225.00%49018.130000000005000.00%012000.4400000000
10Sam VigneaultHartford Wolf Pack (NYR)C502221210799230.00%15711.5000000000000058.33%2411000.7000101000
11Troy JosephsHartford Wolf Pack (NYR)C511200024100410.00%05110.3600000000000065.22%2311000.7700000000
12Josh MahuraHartford Wolf Pack (NYR)D5011-120214410.00%27815.7000001200002000.00%004000.2500000000
13Sami NikuHartford Wolf Pack (NYR)D5011-1003125140.00%210120.380000600004000.00%028000.2000000000
14Scott EansorHartford Wolf Pack (NYR)C/LW51010006781412.50%15110.36000000000000100.00%244000.3900000000
15Anthony BitettoHartford Wolf Pack (NYR)D5000-100362210.00%06212.590000000000000.00%000000.0000000000
16Rasmus AnderssonHartford Wolf Pack (NYR)D5000-540579410.00%311623.3300011200014000.00%024000.0000000000
17Mitch ReinkeHartford Wolf Pack (NYR)D5000-700584020.00%411222.530000600007000.00%001000.0000000000
18Patrick RussellHartford Wolf Pack (NYR)LW/RW50000208616780.00%05511.020000000002000.00%205000.0000000000
Stats d'équipe Total ou en Moyenne90142236-424725111113179591027.82%37147816.433479920003481050.66%3025151000.4900212110
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
1Kevin BoyleHartford Wolf Pack (NYR)51300.8844.382740020173100000.000050000
2Adam HuskaHartford Wolf Pack (NYR)10100.7838.33360052314000.000005000
Stats d'équipe Total ou en Moyenne61400.8724.823110025196114000.000055000


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 Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam HuskaHartford Wolf Pack (NYR)G211997-05-12Yes220 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Anthony BitettoHartford Wolf Pack (NYR)D271990-07-14No210 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Carter VerhaegheHartford Wolf Pack (NYR)C221995-08-14No181 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Chandler StephensonHartford Wolf Pack (NYR)C/LW241994-04-22No203 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$0$0$NoLien
Gemel SmithHartford Wolf Pack (NYR)C/LW241994-04-16No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Jake DotchinHartford Wolf Pack (NYR)D241994-03-24No210 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Jordan KyrouHartford Wolf Pack (NYR)C/RW201998-05-05Yes175 Lbs6 ft0NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien
Josh MahuraHartford Wolf Pack (NYR)D201998-05-05Yes178 Lbs6 ft0NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien
Kalle KossilaHartford Wolf Pack (NYR)C/LW/RW251993-04-14No175 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Karson KuhlmanHartford Wolf Pack (NYR)C/RW221995-09-26Yes180 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Kevin BoyleHartford Wolf Pack (NYR)G261992-05-29No200 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien
Michael RasmussenHartford Wolf Pack (NYR)C/RW191999-04-17Yes220 Lbs6 ft6NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien
Mitch ReinkeHartford Wolf Pack (NYR)D221996-02-04Yes181 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien
Patrick RussellHartford Wolf Pack (NYR)LW/RW251993-01-03No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Philippe MailletHartford Wolf Pack (NYR)C251992-11-07Yes185 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$NoLien
Rasmus AnderssonHartford Wolf Pack (NYR)D211996-10-26No214 Lbs6 ft1NoNoNo6Pro & Farm755,833$0$0$No4,550,000$4,550,000$4,550,000$4,550,000$4,550,000$Lien
Sam VigneaultHartford Wolf Pack (NYR)C221995-09-07No203 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien
Sami NikuHartford Wolf Pack (NYR)D211996-10-10No176 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Scott EansorHartford Wolf Pack (NYR)C/LW221996-01-03No174 Lbs5 ft9NoNoNo1Pro & Farm720,000$0$0$NoLien
Troy JosephsHartford Wolf Pack (NYR)C241994-05-09Yes183 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2022.80193 Lbs6 ft11.70766,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael RasmussenPhilippe MailletKalle Kossila36023
2Chandler StephensonCarter VerhaegheGemel Smith34023
3Karson KuhlmanSam VigneaultJordan Kyrou20032
4Patrick RussellTroy JosephsScott Eansor10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Rasmus AnderssonSami Niku40023
2Jake DotchinMitch Reinke35023
3Anthony BitettoJosh Mahura25032
40122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kalle KossilaPhilippe MailletKarson Kuhlman60014
2Gemel SmithCarter VerhaegheMichael Rasmussen40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Rasmus AnderssonJosh Mahura60014
2Mitch ReinkeSami Niku40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Philippe MailletChandler Stephenson60041
2Carter VerhaegheGemel Smith40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake DotchinMitch Reinke60041
2Rasmus AnderssonSami Niku40041
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Philippe Maillet60041Jake DotchinMitch Reinke60041
2Carter Verhaeghe40041Josh MahuraSami Niku40041
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Carter VerhaeghePatrick Russell60122
2Jordan KyrouGemel Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Rasmus AnderssonJake Dotchin60122
2Josh MahuraMitch Reinke40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kalle KossilaPhilippe MailletKarson KuhlmanRasmus AnderssonJosh Mahura
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chandler StephensonCarter VerhaegheGemel SmithJake DotchinMitch Reinke
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Kyrou, , Michael RasmussenJordan Kyrou, Michael RasmussenPatrick Russell
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Andersson, Mitch Reinke, Sami NikuRasmus AnderssonRasmus Andersson, Josh Mahura
Tirs de Pénalité
Kalle Kossila, Patrick Russell, Carter Verhaeghe, Philippe Maillet,
Gardien
#1 : Kevin Boyle, #2 : Adam Huska


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
1Hershey Bears514000001425-112110000067-130300000818-1020.2001422360056211796170408196374711112325.00%11645.45%05511149.55%5510353.40%438848.86%10658110469446
Total514000001425-112110000067-130300000818-1020.2001422360056211796170408196374711112325.00%11645.45%05511149.55%5510353.40%438848.86%10658110469446
_Since Last GM Reset514000001425-112110000067-130300000818-1020.2001422360056211796170408196374711112325.00%11645.45%05511149.55%5510353.40%438848.86%10658110469446
_Vs Conference514000001425-112110000067-130300000818-1020.2001422360056211796170408196374711112325.00%11645.45%05511149.55%5510353.40%438848.86%10658110469446

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L1142236179196374711100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001425
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000067
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000818
Derniers 10 Matchs
WLOTWOTL SOWSOL
041000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
12325.00%11645.45%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
61704085621
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
5511149.55%5510353.40%438848.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10658110469446


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 - 2019-10-043Hartford Wolf Pack2Hershey Bears3LSommaire du Match
2 - 2019-10-0511Hartford Wolf Pack5Hershey Bears10LSommaire du Match
3 - 2019-10-0619Hershey Bears4Hartford Wolf Pack2LSommaire du Match
4 - 2019-10-0727Hershey Bears3Hartford Wolf Pack4WXSommaire du Match
5 - 2019-10-0835Hartford Wolf Pack1Hershey Bears5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance3,5711,856
Assistance PCT89.28%92.80%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2714 - 90.45% 113,855$227,710$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,532,000$ 1,532,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
2016824231032313933246941251101211213156574117200202018016812843936411034111231431218299592110461010312889962226718762366527.54%2268263.72%8869174049.94%910185749.00%795152052.30%170192216807731569786
20178237320623238136912411617051201971943412115011121841759743816341015329814413011322096511491077422917100594815182437530.86%2065672.82%51073188456.95%1002176856.67%865153756.28%1767101016717561522761
2018824623065204083119741261003200205145604120130332020316637924086651073209315015783026941108198924286291891717202488233.06%1614770.81%4970177954.53%1000176856.56%788141655.65%173793716317531584821
20198242320024241336746412413001212071773041181900121206190168441367710904010016614373377104211791149253102106868715272237634.08%1525464.47%2940180052.22%845165850.97%832156353.23%1778103016767301497759
Total Saison Régulière32816711801511125159513712241649151096528226721501647667065737736997433415952617421210341460355134126183869445542251221177039534819664195029831.37%74523967.92%193852720353.48%3757705153.28%3280603654.34%698439006660301361733128
2019514000001425-112110000067-130300000818-1021422360056211796170408196374711112325.00%11645.45%05511149.55%5510353.40%438848.86%10658110469446
Total Séries514000001425-112110000067-130300000818-1021422360056211796170408196374711112325.00%11645.45%05511149.55%5510353.40%438848.86%10658110469446