Monarchs

GP: 4 | W: 4 | L: 0
GF: 6 | GA: 1 | PP%: 40.00% | PK%: 80.00%
DG: Pat Lacelle | Morale : 50 | Moyenne d'Équipe : 64
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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
1Tyler MotteX100.00923492845572805349475981565473050710
2Scott WilsonX100.00823592855566575349535463536373050670
3Marian GaborikX100.00503392846461445446496059599383050661
4Logan ShawX100.00653393837162534849445266516369047650
5Brett Seney (R)X100.00613589894166625252485559535163050630
6Nick LappinX100.00513595875659324649415159516365050600
7Paul ThompsonX100.00503295836453254543415058507571050590
8Brett Bulmer (R)X100.00453095827450254540405055506363050580
9Andrej SekeraX100.00643289845968505951645485538185050740
10Will ButcherX100.00573191865257966948785966595470015730
11Devon Toews (R)X100.00533194865867585948586063575768038680
12Clayton StonerX100.00724585827261255151505568538483050680
13Jan RuttaX100.00533392856567525649555866566973049680
14Ilya Lyubushkin (R)X100.00953593846361505049495061505771050670
15Gustav ForslingX100.00613388865465515648545968565166050670
16Caleb Jones (R)X100.00523195845957255147505260514860050610
17Nikita Tryamkin (R)X100.00453495759550254548455055505761050600
18Brandon GormleyX100.00453195846250254548455055506364050590
19Louie Belpedio (R)X100.00453195835651254847455055555158050580
Rayé
1Chase De Leo (R)X100.00453395844955254548405064505460050570
2Andrew Poturalski (R)X100.00453095855150254540405055505760050560
MOYENNE D'ÉQUIPE100.0058339384615943514849546353626904864
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
1Pavel Francouz (R)100.0074256168807677737665576962022690
2Eddie Lack100.0068297573706769686966587766044650
Rayé
1Michael Dipietro (R)100.0070256874716260707065573343050630
MOYENNE D'ÉQUIPE100.007126687274686970726557605703966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube74808282758071CAN534850,000$


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
1Brett SeneyMonarchs (LAK)LW40222207710440.00%08421.0501127000020066.67%331000.4800000001
2Logan ShawMonarchs (LAK)RW420220081073428.57%18421.0110127000022041.18%1742000.4800000110
3Will ButcherMonarchs (LAK)D1011100212100.00%22525.220000200001000.00%021000.7900000001
4Brett BulmerMonarchs (LAK)RW41011003284012.50%06817.1800014000000175.00%431000.2900000100
5Andrew PoturalskiMonarchs (LAK)C110100020100100.00%02020.0010112000001083.33%600001.0000000010
6Devon ToewsMonarchs (LAK)D40110001411320.00%17919.940111500003000.00%133000.2500000000
7Gustav ForslingMonarchs (LAK)D4011020230330.00%26817.020110100001000.00%130000.2900000000
8Scott WilsonMonarchs (LAK)LW21010001151420.00%04221.45101230000210100.00%120000.4700000100
9Nikita TryamkinMonarchs (LAK)D2011100100000.00%02311.650000000000000.00%000000.8600000000
10Tyler MotteMonarchs (LAK)C2011000162130.00%04321.7701113000020058.82%3400000.4600000001
11Nick LappinMonarchs (LAK)RW4000100838130.00%17919.9300016000110068.75%1602000.0000000010
12Brandon GormleyMonarchs (LAK)D2000000010000.00%0199.7600000000000075.00%400000.0000000000
13Marian GaborikMonarchs (LAK)RW2000000223540.00%14221.02000030000000100.00%201000.0000000000
14Andrej SekeraMonarchs (LAK)D4000100669350.00%49724.410002900004000.00%031000.0000000000
15Ilya LyubushkinMonarchs (LAK)D4000000221100.00%25814.6200002000010025.00%411000.0000000000
16Clayton StonerMonarchs (LAK)D2000020115310.00%04221.350001400001000.00%014000.0000000000
17Caleb JonesMonarchs (LAK)D4000100405220.00%15614.150000000000000.00%001000.0000000000
18Chase De LeoMonarchs (LAK)C1000000123000.00%02121.2300012000000066.67%1210000.0000000000
19Paul ThompsonMonarchs (LAK)RW2000000412000.00%03216.030000000000000.00%100000.0000000000
20Louie BelpedioMonarchs (LAK)D2000000200000.00%0126.450000000001000.00%000000.0000000000
21Jan RuttaMonarchs (LAK)D2000000221010.00%03718.720000200001000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne575712106060548335366.02%15104018.2534715690001304159.43%1062718000.2300000333
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
1Pavel FrancouzMonarchs (LAK)43000.9680.311910213116000.000040011
2Eddie LackMonarchs (LAK)11001.0000.0049000149000.000004000
Stats d'équipe Total ou en Moyenne54000.9780.252400214525000.000044011


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
Andrej Sekera (Contrat à 1 Volet)Monarchs (LAK)D331986-01-01No200 Lbs6 ft0NoNoNo4Sans RestrictionFarm Only1,900,000$190,000$54,286$NoLien / Lien NHL
Andrew PoturalskiMonarchs (LAK)C251994-01-01Yes180 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm600,000$0$0$No
Brandon GormleyMonarchs (LAK)D271992-01-01No196 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm550,000$0$0$NoLien
Brett BulmerMonarchs (LAK)RW271992-01-01Yes212 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Brett SeneyMonarchs (LAK)LW231996-01-01Yes156 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm550,000$0$0$No
Caleb JonesMonarchs (LAK)D221997-01-01Yes194 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm550,000$0$0$NoLien
Chase De LeoMonarchs (LAK)C241995-01-01Yes179 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Clayton Stoner (Contrat à 1 Volet)Monarchs (LAK)D341985-01-01No216 Lbs6 ft4NoNoNo1Sans RestrictionFarm Only1,500,000$150,000$42,857$NoLien
Devon ToewsMonarchs (LAK)D251994-01-01Yes191 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Eddie LackMonarchs (LAK)G311988-01-01No187 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm900,000$0$0$NoLien NHL
Gustav ForslingMonarchs (LAK)D231996-01-01No186 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Ilya LyubushkinMonarchs (LAK)D251994-01-01Yes201 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Jan RuttaMonarchs (LAK)D291990-01-01No200 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm950,000$0$0$NoLien / Lien NHL
Logan ShawMonarchs (LAK)RW271992-01-01No208 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm700,000$0$0$NoLien NHL
Louie BelpedioMonarchs (LAK)D231996-01-01Yes196 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm850,000$0$0$NoLien / Lien NHL
Marian Gaborik (Contrat à 1 Volet)Monarchs (LAK)RW371982-01-01No200 Lbs6 ft1NoNoNo1Sans RestrictionFarm Only2,800,000$280,000$80,000$NoLien NHL
Michael DipietroMonarchs (LAK)G201999-01-01Yes200 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm700,000$0$0$No
Nick LappinMonarchs (LAK)RW271992-01-01No175 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien NHL
Nikita TryamkinMonarchs (LAK)D251994-01-01Yes265 Lbs6 ft7NoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Paul ThompsonMonarchs (LAK)RW311988-01-01No200 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Pavel FrancouzMonarchs (LAK)G291990-01-01Yes179 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Scott WilsonMonarchs (LAK)LW271992-01-01No186 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm950,000$0$0$NoLien NHL
Tyler MotteMonarchs (LAK)C241995-01-01No192 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien NHL
Will ButcherMonarchs (LAK)D241995-01-01No190 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm1,750,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2426.75195 Lbs6 ft12.04920,833$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott WilsonTyler MotteMarian Gaborik40122
2Brett SeneyNick LappinLogan Shaw30122
3Scott WilsonTyler MotteNick Lappin20122
4Logan ShawMarian GaborikPaul Thompson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraClayton Stoner40122
2Devon ToewsJan Rutta30122
3Gustav ForslingIlya Lyubushkin20122
4Caleb JonesNikita Tryamkin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott WilsonTyler MotteMarian Gaborik60122
2Brett SeneyNick LappinLogan Shaw40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraClayton Stoner60122
2Devon ToewsJan Rutta40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler MotteScott Wilson60122
2Marian GaborikLogan Shaw40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraClayton Stoner60122
2Devon ToewsJan Rutta40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Motte60122Andrej SekeraClayton Stoner60122
2Scott Wilson40122Devon ToewsJan Rutta40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler MotteScott Wilson60122
2Marian GaborikLogan Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraClayton Stoner60122
2Devon ToewsJan Rutta40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott WilsonTyler MotteMarian GaborikAndrej SekeraClayton Stoner
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott WilsonTyler MotteMarian GaborikAndrej SekeraClayton Stoner
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brett Bulmer, Paul Thompson, Brett SeneyBrett Bulmer, Paul ThompsonBrett Seney
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Gormley, Louie Belpedio, Gustav ForslingBrandon GormleyLouie Belpedio, Gustav Forsling
Tirs de Pénalité
Tyler Motte, Scott Wilson, Marian Gaborik, Logan Shaw, Brett Seney
Gardien
#1 : Pavel Francouz, #2 : Eddie Lack


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
13L44000000615220000002022200000041381.00069150312219616433164519107810440.00%5180.00%0417256.94%204247.62%122842.86%733068439849
Total44000000615220000002022200000041381.00069150312219616433164519107810440.00%5180.00%0417256.94%204247.62%122842.86%733068439849
_Since Last GM Reset44000000615220000002022200000041381.00069150312219616433164519107810440.00%5180.00%0417256.94%204247.62%122842.86%733068439849
_Vs Conference44000000615220000002022200000041381.00069150312219616433164519107810440.00%5180.00%0417256.94%204247.62%122842.86%733068439849
_Vs Division40000000615200000002022000000041300.00069150312219616433164519107810440.00%5180.00%0417256.94%204247.62%122842.86%733068439849

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48W46915964519107803
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
440000061
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000020
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000041
Derniers 10 Matchs
WLOTWOTL SOWSOL
400000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
10440.00%5180.00%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
16433161221
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
417256.94%204247.62%122842.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
733068439849


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 - 2020-01-092Monarchs23L1WSommaire du Match
2 - 2020-01-1010Monarchs23L0WSommaire du Match
3 - 2020-01-11183L0Monarchs1WXSommaire du Match
4 - 2020-01-12263L0Monarchs1WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3020
Assistance3,9871,564
Assistance PCT99.68%78.20%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2776 - 92.52% 86,762$173,523$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,590,000$ 1,570,000$ 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$ 2 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
19440000006152200000020222000000413869150312219616433164519107810440.00%5180.00%0417256.94%204247.62%122842.86%733068439849
Total Séries440000006152200000020222000000413869150312219616433164519107810440.00%5180.00%0417256.94%204247.62%122842.86%733068439849