Columbia Tigers

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Terrance Westerlund | Morale : 68 | Moyenne d'Équipe : 64
Prochain matchs #7 vs Niagara Falls Wings
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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
1Alan Piccola0X100.00111997376736677398388407099843980690
2Tommy Fontes0X100.004412867077777371397471627099924981690
3Dion Hagan0X100.009933406075757761706765657299991266670
4Ryan Kabel0X100.00864086658182797616271537097613280670
5Cristian Ekberg0X100.002918997170796859446687575099583781660
6Jon Helmick0X100.003914997571727363527377515093455529650
7Dante Copeland0X100.007327526868815271526976405095766163650
8Todd Bice (R)0X100.007436556859876870396883475093344470650
9Rex Carey0X100.007925417475703769465950847078607038640
10Will Juncaj0X100.009626597077737541674480627091603856630
11Dominick Kahre0X100.003316997171726774337171227084603030620
12Jon Leuck0X100.00992988067757369256088377099911782680
13Hunter Gebhardt0X100.006527587662765667195456855071506376670
14Alex DeMaio (R)0X100.007136576965815762285257875085395375670
15Ty Burton0X100.006330927272777753144847655099635081650
16Nate Martin0X100.003814996677736841253129805099684957620
17Tyler Wertz (R)0X100.004226996265748047122742725074767040610
Rayé
1Kyle Barrett0X89.829226278070784169347382707073464365680
2Dave Zisk0X92.943810997575786165247572547083854966670
3Tim McCaskey0X100.009218527372404867246060525086993119610
4Dylan Seabrook0X100.005024707170847557426482267077376919610
5Antoine Morrisette0X100.006530996467764860204462795087676020610
6Dean Penney0X100.003111946874737254493776617093634220600
7Darin Kennedy0X100.00461399647774895944156647087614120600
8Bryant Pace0X100.006424637265815471525676267088395719600
9Koby Gratton0X100.006627466580716935596964437099484420580
10Joey Demeo0X100.005321796666825277593157475079885919580
11Timmy Moore (R)0X100.005028696956756948666374385085306116580
12Chris Vancott0X100.008742516470787458283856417099505919560
13Raphael Sanmiguel0X100.004814997068784257563544707075634420600
14Danny Federico0X100.003910996768736925293935765096466819590
15Mark Kanarek0X100.003518997463775356684860627091425620590
MOYENNE D'ÉQUIPE99.46592374707075646038566557618962494663
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
1Landon Ramser100.00707684827992916962607099905668770
2Trevor Hardridge100.00688168726984527181696899991476730
Rayé
1Jayson Sandrock100.00715670837575928170607091594520730
2Matt Gianopoulos (R)100.00639090787085896655705067825920730
3Stuart Conboy100.00737264767173677372595374855119700
MOYENNE D'ÉQUIPE100.0069757578738278726864628683454173
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Cameron67716359757550CAN611275,000$


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
Alan PiccolaColumbia Tigers (Bal)LW2412/21/1994No189 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm380,000$0$0$No
Alex DeMaioColumbia Tigers (Bal)D1911/2/1999Yes205 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm459,615$0$0$No
Antoine MorrisetteColumbia Tigers (Bal)RW2012/13/1998No215 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm362,909$0$0$No
Bryant PaceColumbia Tigers (Bal)C2112/20/1997No190 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm266,723$0$0$No
Chris VancottColumbia Tigers (Bal)RW229/14/1996No218 Lbs6 ft6NoNoNo3Contrat d'EntréePro & Farm248,010$0$0$No
Cristian EkbergColumbia Tigers (Bal)C209/7/1998No197 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm385,264$0$0$No
Danny FedericoColumbia Tigers (Bal)D266/3/1992No196 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm221,418$0$0$No
Dante CopelandColumbia Tigers (Bal)LW207/28/1998No200 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm376,322$0$0$No
Darin KennedyColumbia Tigers (Bal)C229/21/1996No214 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm227,331$0$0$No
Dave Zisk (Sur la Masse Salariale)Columbia Tigers (Bal)LW212/20/1997No185 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm252,456$0$0$No
Dean PenneyColumbia Tigers (Bal)C216/10/1997No198 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm239,296$0$0$No
Dion HaganColumbia Tigers (Bal)RW378/1/1981No208 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm485,000$0$0$No
Dominick KahreColumbia Tigers (Bal)LW2112/19/1997No192 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm264,077$0$0$No
Dylan SeabrookColumbia Tigers (Bal)LW2110/31/1997No201 Lbs6 ft7NoNoNo2Contrat d'EntréePro & Farm240,416$0$0$No
Hunter GebhardtColumbia Tigers (Bal)D208/5/1998No174 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm329,375$0$0$No
Jayson SandrockColumbia Tigers (Bal)G271/14/1992No211 Lbs6 ft8NoNoNo1Avec RestrictionPro & Farm279,268$0$0$No
Joey DemeoColumbia Tigers (Bal)RW193/4/1999No201 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm276,408$0$0$No
Jon HelmickColumbia Tigers (Bal)C203/15/1998No183 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm282,002$0$0$No
Jon LeuckColumbia Tigers (Bal)D235/1/1995No157 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm375,000$0$0$No
Koby GrattonColumbia Tigers (Bal)RW2210/27/1996No215 Lbs6 ft7NoNoNo1Contrat d'EntréePro & Farm296,310$0$0$No
Kyle Barrett (Sur la Masse Salariale)Columbia Tigers (Bal)LW2110/5/1997No162 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm293,419$0$0$No
Landon RamserColumbia Tigers (Bal)G251/15/1994No212 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm400,000$0$0$No
Mark KanarekColumbia Tigers (Bal)D227/8/1996No186 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm254,369$0$0$No
Matt GianopoulosColumbia Tigers (Bal)G2011/5/1998Yes188 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm252,405$0$0$No
Nate MartinColumbia Tigers (Bal)D211/16/1998No210 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm249,409$0$0$No
Raphael SanmiguelColumbia Tigers (Bal)D215/7/1997No188 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm233,049$0$0$No
Rex CareyColumbia Tigers (Bal)C212/24/1997No182 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm243,163$0$0$No
Ryan KabelColumbia Tigers (Bal)RW223/25/1996No221 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm500,500$0$0$No
Stuart ConboyColumbia Tigers (Bal)G232/28/1995No184 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm245,000$0$0$No
Tim McCaskeyColumbia Tigers (Bal)LW253/2/1993No179 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm280,524$0$0$No
Timmy MooreColumbia Tigers (Bal)LW242/16/1994Yes180 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm246,095$0$0$No
Todd BiceColumbia Tigers (Bal)RW186/2/2000Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm360,673$0$0$No
Tommy FontesColumbia Tigers (Bal)C212/19/1997No201 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm320,281$0$0$No
Trevor HardridgeColumbia Tigers (Bal)G305/6/1988No183 Lbs5 ft9NoNoNo2Sans RestrictionPro & Farm287,500$0$0$No
Ty BurtonColumbia Tigers (Bal)D204/24/1998No201 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm262,535$0$0$No
Tyler WertzColumbia Tigers (Bal)D191/10/2000Yes219 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm262,588$0$0$No
Will JuncajColumbia Tigers (Bal)C2411/18/1994No193 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm280,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3722.24195 Lbs6 ft32.14303,208$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alan PiccolaTommy FontesRyan Kabel40122
2Cristian EkbergDion Hagan30122
3Dante CopelandJon HelmickTodd Bice20122
4Dominick KahreRex CareyAlan Piccola10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon LeuckHunter Gebhardt40122
2Alex DeMaioTy Burton30122
3Nate MartinTyler Wertz20122
4Jon LeuckHunter Gebhardt10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alan PiccolaTommy FontesRyan Kabel60122
2Cristian EkbergDion Hagan40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon LeuckHunter Gebhardt60122
2Alex DeMaioTy Burton40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alan PiccolaTommy Fontes60122
2Ryan Kabel40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon LeuckHunter Gebhardt60122
2Alex DeMaioTy Burton40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alan Piccola60122Jon LeuckHunter Gebhardt60122
2Tommy Fontes40122Alex DeMaioTy Burton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alan PiccolaTommy Fontes60122
2Ryan Kabel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon LeuckHunter Gebhardt60122
2Alex DeMaioTy Burton40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alan PiccolaTommy FontesRyan KabelJon LeuckHunter Gebhardt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alan PiccolaTommy FontesRyan KabelJon LeuckHunter Gebhardt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Will Juncaj, Jon Helmick, Todd BiceWill Juncaj, Jon HelmickTodd Bice
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nate Martin, Tyler Wertz, Alex DeMaioNate MartinTyler Wertz, Alex DeMaio
Tirs de Pénalité
Alan Piccola, Tommy Fontes, , Ryan Kabel, Dion Hagan
Gardien
#1 : Landon Ramser, #2 : Trevor Hardridge


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 TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 Matchs
WLOTWOTL T
00000
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
2 - 2019-09-037Columbia Tigers-Niagara Falls Wings-
4 - 2019-09-0515Columbia Tigers-Niagara Falls Wings-
6 - 2019-09-0723Niagara Falls Wings-Columbia Tigers-
8 - 2019-09-0931Niagara Falls Wings-Columbia Tigers-
10 - 2019-09-1139Columbia Tigers-Niagara Falls Wings-
12 - 2019-09-1347Niagara Falls Wings-Columbia Tigers-
14 - 2019-09-1555Columbia Tigers-Niagara Falls Wings-



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
40 0 - 0.00%0$0$3000110

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,668,208$ 2,668,208$ 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$ 14 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
1680383522300278303-25402115121001481381040172010200130165-357827846173941101958022782102391783012263284864316872744616.79%3157277.14%1982201848.66%1007203949.39%643128749.96%167893016597591486721
07-0880264154400245275-3040132131200121139-1840132023200124136-12572453926373270947742308702833751222328820120716702274318.94%2315377.06%11857167751.10%849171449.53%668127952.23%150267815688351770882
08-098039277340027125021401715512001321311402212222001391192085271445716047599943245073685683820242782547117042094923.44%1703579.41%4850169350.21%807166648.44%591125247.20%1527709330117651769881
09-1080343170800294290440181810300149154-54016136050014513697529448077403661171110268285994085429266985164416521883418.09%1974975.13%17772174544.24%847190744.42%615137844.63%1522731519127361721836
10-118034307540028727314402110522001461202640132023200141153-127528745874521701061065264785292983828245578547518412125325.00%1863481.72%3973188351.67%826163850.43%604118950.80%163781515087951706850
11-1280303346700287309-2240151615300146155-940151731400141154-1364287469756219892916267793891180226266993231916351933920.21%1473377.55%3886190846.44%813184044.18%562124845.03%161180315637691666852
12-1380451974500355271844019963300185142434026101120017012941973555729272112312010842907106397884026272090837916491995929.65%1613379.50%5998198650.25%989186153.14%649130149.88%166088716067711583792
13-1480264743000292324-3240112513000148174-2640152230000144150-65629248077252100959432756111184678514276588147614481973517.77%2185375.69%9952191149.82%1005199050.50%653124052.66%162185416107751594799
14-1580243775700308360-5240112223200152191-3940131552500156169-135530850781510981099652998105997394521301794972715942224620.72%2445477.87%21094204053.63%1070203852.50%723137652.54%167690916387581535774
15-1680323780300299328-2940152320000141162-2140171460300158166-872299492791209911387029241076998832182968100846716112024120.30%2174479.72%4897199145.05%1024210648.62%610129946.96%164687916417621557780
16-1780333462500281288-740151831300140151-11401816312001411374722814807612080991002262689382289120267990362615722423916.12%2435378.19%8958190850.21%939184750.84%609125048.72%165590716637641525742
17-188039231233002932613240181172200156142144021125110013711918902934857780088103993263899384378220253585947516342415321.99%2174877.88%3947186550.78%913180150.69%636121952.17%167191216637661534761
Total Saison Régulière9604003947637530034903532-424801942033723230017641799-354802061913914300017261733-787634905721921123151068124211433732395113051084699882563186410569690919697260653720.61%254656177.97%70111662262549.35%110892244749.40%75631531849.37%19413100192461612260194519673