Monsters

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Auger | Morale : 50 | Moyenne d'Équipe : 58
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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
1Oscar LindbergX100.00845576788078827181637076557168178690
2Dylan StromeX100.00635570827570707973707065557372177680
3Nick CousinsX100.00775573756966677668657378556564178680
4Oskar LindblomX100.00765571847072737650636565557070178670
5Chris KellyX100.00685578757768676450626061557575178630
6Nikita SoshnikovX100.00845578816762646550606162555252178620
7Daniel CatenacciX100.00595572626662695550555560557574178580
8Daniel AudetteX100.00585572676259695550555559557175177580
9Nick TarnaskyX100.00745558638179645550555555556465178580
10Mike BrownX100.00605566697569545550555555556970178580
11Zack StortiniX100.00645557618179745550555555556565178580
12Ryan HaggertyX100.00715569687569665550555555555050178570
13Colin WhiteX100.00565555555657576660555555557371180560
14Tim BozonX100.00745567627468645550555555555050124560
15Madison BoweyX100.00795579866974647825716075557878178710
16Ryan SproulX100.00685566766779647425646268557070164660
17Brian LashoffX100.00555555605555785525555555556061178560
18Ville PokkaX100.00555557605757765725575757555353178560
19Mike WeberX100.00555555605555625525555555556970127550
Rayé
1Quinton HowdenX100.00565563656866695550555555555656120560
2Matt BucklesX100.00825582557954545550555555555050120550
3Akim AliuX100.00565555555859605550555555557575120550
4Brandon AldersonX100.00565555555758595550555555557472120540
5Buddy RobinsonX100.00565555555758585550555555557472120540
6Cody KunykX100.00565555555758585550555555557371120540
7Zach O'BrienX100.00705568555461685550555555555050120540
8Emil PetterssonX100.00555555555555555550555555557571120540
9Stephen MacAulayX100.00565559626866545550555555555050120540
10Lauri KorpikoskiX100.00555555555555555550555555557473120540
11Joshua WinquistX100.00565555555556555550555555555050120520
12Olivier ArchambaultX100.00555562555454545550555555555050120520
13Mike SisloX100.00565555555555555550555555555050120520
14Kyle BurroughsX100.00565556605656635625565656555353120540
15Robin NorellX100.00555555605555675525555555555353120540
16Jeremy RoyX100.00565555605555565525555555556262120540
17Will O'NeillX100.00575555605555675525555555555353120540
18Josiah DidierX100.00555555605555595525555555555353120530
19John NegrinX100.00555555605555585525555555555353120530
20Brennan MenellX100.00555555605555565525555555555555120530
MOYENNE D'ÉQUIPE100.0062556263636263594457575855626214557
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
1Jack Campbell100.0073778373707075706771556967174700
2Eamon McAdam100.0062707079656565656864556062178650
Rayé
1Jeff Malcolm100.0054645971585858585958555456119580
2Marcus Hogberg100.0055555555555555555555556565120550
3Filip Gustavsson100.0055555555555555555555555060120540
MOYENNE D'ÉQUIPE100.006064646761616261616155606214260
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Ladouceur42626738807060CAN573100,000$


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
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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Akim AliuMonsters (Clb)RW271989-04-23No225 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Brandon AldersonMonsters (Clb)RW241992-01-21No202 Lbs6 ft4NoNoNo0Avec RestrictionPro & Farm0$0$No
Brennan MenellMonsters (Clb)D191997-05-24No183 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Brian LashoffMonsters (Clb)D261990-07-15No212 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Buddy RobinsonMonsters (Clb)RW251991-09-30No235 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Chris KellyMonsters (Clb)C361980-11-11No198 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Cody KunykMonsters (Clb)RW261990-05-20No195 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Colin WhiteMonsters (Clb)C191997-01-30No190 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No
Daniel AudetteMonsters (Clb)LW201996-05-06No176 Lbs5 ft8NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Daniel CatenacciMonsters (Clb)RW231993-03-09No186 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Dylan StromeMonsters (Clb)C191997-03-07No185 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No
Eamon McAdamMonsters (Clb)G221994-09-23No199 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Emil PetterssonMonsters (Clb)C221994-01-14No176 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Filip GustavssonMonsters (Clb)G181998-06-07No185 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Jack CampbellMonsters (Clb)G251992-01-09No195 Lbs6 ft3NoNoNo0Avec RestrictionPro & Farm0$0$No
Jeff MalcolmMonsters (Clb)G271989-04-13No179 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jeremy RoyMonsters (Clb)D191997-05-14No187 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
John NegrinMonsters (Clb)D271989-03-25No194 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Joshua WinquistMonsters (Clb)LW231993-09-06No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Josiah DidierMonsters (Clb)D231993-04-08No203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Kyle BurroughsMonsters (Clb)D211995-07-12No198 Lbs6 ft0NoNoNo0Contrat d'EntréePro & Farm0$0$No
Lauri KorpikoskiMonsters (Clb)LW301986-07-28No205 Lbs6 ft1NoNoNo0Sans RestrictionPro & Farm0$0$No
Madison BoweyMonsters (Clb)D211995-04-22No194 Lbs6 ft1NoNoNo0Contrat d'EntréePro & Farm0$0$No
Marcus HogbergMonsters (Clb)G221994-11-25No209 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Matt BucklesMonsters (Clb)C211995-05-05No218 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Mike BrownMonsters (Clb)RW311985-06-23No205 Lbs5 ft11NoNoNo0Sans RestrictionPro & Farm0$0$No
Mike SisloMonsters (Clb)RW281988-01-19No195 Lbs5 ft11NoNoNo0Sans RestrictionPro & Farm0$0$No
Mike WeberMonsters (Clb)D291987-12-15No212 Lbs6 ft2NoNoNo0Sans RestrictionPro & Farm0$0$No
Nick CousinsMonsters (Clb)C231993-07-19No169 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Nick TarnaskyMonsters (Clb)LW321984-11-24No230 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No
Nikita SoshnikovMonsters (Clb)RW231993-10-14No183 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Olivier ArchambaultMonsters (Clb)LW231993-02-15No176 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Oscar LindbergMonsters (Clb)C251991-10-28No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Oskar LindblomMonsters (Clb)LW201996-08-15No192 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Quinton HowdenMonsters (Clb)C241992-01-20No189 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Robin NorellMonsters (Clb)D211995-02-17No195 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Ryan HaggertyMonsters (Clb)RW231993-03-03No201 Lbs6 ft0NoNoNo0Avec RestrictionPro & Farm0$0$No
Ryan SproulMonsters (Clb)D241993-01-12No206 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Stephen MacAulayMonsters (Clb)C241992-04-20No182 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Tim BozonMonsters (Clb)LW221994-03-24No196 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Ville PokkaMonsters (Clb)D221994-06-02No214 Lbs6 ft0NoNoNo0Contrat d'EntréePro & Farm0$0$No
Will O'NeillMonsters (Clb)D281988-04-27No190 Lbs6 ft1NoNoNo0Sans RestrictionPro & Farm0$0$No
Zach O'BrienMonsters (Clb)RW241992-06-29No192 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Zack StortiniMonsters (Clb)C311985-09-10No230 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4424.14197 Lbs6 ft11.70306,818$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomOscar Lindberg40122
2Daniel AudetteDylan StromeNikita Soshnikov30122
3Nick TarnaskyNick CousinsDaniel Catenacci20122
4Tim BozonChris KellyMike Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul40122
2Ville PokkaBrian Lashoff30122
3Mike WeberMadison Bowey20122
4Ryan SproulVille Pokka10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomOscar Lindberg60122
2Daniel AudetteDylan StromeNikita Soshnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul60122
2Ville PokkaBrian Lashoff40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Oscar Lindberg60122
2Dylan StromeNick Cousins40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul60122
2Ville PokkaBrian Lashoff40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Madison BoweyRyan Sproul60122
2Oscar Lindberg40122Ville PokkaBrian Lashoff40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Oscar Lindberg60122
2Dylan StromeNick Cousins40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul60122
2Ville PokkaBrian Lashoff40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomOscar LindbergMadison BoweyRyan Sproul
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomOscar LindbergMadison BoweyRyan Sproul
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zack Stortini, Ryan Haggerty, Chris KellyZack Stortini, Ryan HaggertyChris Kelly
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Weber, Brian Lashoff, Madison BoweyMike WeberBrian Lashoff, Madison Bowey
Tirs de Pénalité
, Oscar Lindberg, Dylan Strome, Nick Cousins, Oskar Lindblom
Gardien
#1 : Jack Campbell, #2 : Eamon McAdam


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 135,000$ 72,328$ 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
Séries
13514000001012-2211000005323030000059-4210172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
Total Séries514000001012-2211000005323030000059-4210172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230