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LHSRSM


Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Martin Pomminville | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralMartin Pomminville
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro39
Équipe Mineure18
Limite contact 57 / 250
Espoirs73


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique562-268-86 (0.614%)
Apparitions séries éliminatoires 8
Historique séries éliminatoires (W-L)32-40
Stanley Cup0


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 SPÂgeContratSalaire
1Juho Lammikko (R)X100.00763593677983846671626465676965047660241725,000$
2Justin AbdelkaderXX100.008643846083737562656360666184740476503334,250,000$
3Egor Sokolov (R)X100.00798187638879856456616562666163047650203850,000$
4Matt LuffX100.00653593658076796663656462666764050650231700,000$
5Noah GregorXX100.00823593667285816771626555676563050650221850,000$
6Tanner KeroX100.00633587667183786772686359667771047650281737,500$
7Adam BrooksX100.00603595656876796772666462666965050640242725,000$
8Jayce HawrylukXX100.00843986647266716261646159646966050640241800,000$
9Otto KoivulaXXX100.00827477629476806367615957636564050630221925,000$
10Nikita Scherbak (R)X100.006738866479837863576258596471650506302411,063,333$
11Cody Franson (R)X100.00837086609472776330665664518477050650331700,000$
12Pierre-Olivier JosephX100.007438887177827864306859655263640506502121,075,833$
13Jon MerrillX100.00684384618287856230665773497769047650281925,000$
14Andreas BorgmanX100.00684382617585786330655664537166050630251700,000$
Rayé
1Dmitry SokolovX100.00683593597775726356586257636564050620221830,000$
2Maksim SushkoX100.00583595627681826357596158636264050620212879,167$
3Otto SomppiX100.00673680627978836377615956626563050620221800,000$
4Isaac RatcliffeX100.00835275569277825558575462556362050610212863,333$
5Ivan ChekhovichXX100.00503595636780746456625960646362050610212903,333$
6Dmitry Zavgorodniy (R)X100.00583593616475806253605856596263050610203780,000$
7Drew Shore (R)X100.00614384588273775770595862597865050610291700,000$
8Mark Kastelic (R)X100.00763682568576815860565759566362050610203821,667$
9Ty RonningXX100.00633689626372775963586156626764050610221750,833$
10Carson Focht (R)X100.00615273587178836168595654586162050600203883,333$
11Drake RymshaX100.00663584577279755864595857596563050600221733,333$
12Jack KopackaX100.00713593578069745758575659626563050600221910,833$
13Kody ClarkX100.00714681588064695657556058596365050600202894,167$
14Cole Coskey (R)X100.00633987567267735755545853566362050590211700,000$
15Skyler McKenzieX100.00593788596182835753565852596563050590221741,666$
16Brayden Tracey (R)X100.00613888587169645653555557596163050580194894,167$
17Cole Schwindt (R)X100.00685669557763685357525654556062050570194925,000$
18Kale ClagueX100.00563592647081756530685759516563050620221894,166$
19John Ludvig (R)X100.00715769608070655730655659496161050600203925,000$
20Trenton Bourque (R)X100.00714286568065705430555356456563050590221700,000$
MOYENNE D’ÉQUIPE100.0069438661777677615561595959676505062
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
1Oscar Dansk100.0074838284737274737274737377047650
2Jeremy Helvig100.0075686684747375747375746771050650
Rayé
1Mikhail Berdin100.0072939173717072717072716670050640
2Trent Miner (R)100.0072788074717072717072716063050640
3Adam Huska100.0070858389696870696870696771050630
MOYENNE D’ÉQUIPE100.007381808172717372717372677004964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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 Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BrooksMonsters (CLB)C241996-05-06No185 Lbs5 ft10NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien / Lien NHL
Adam HuskaMonsters (CLB)G231997-05-12No227 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Andreas BorgmanMonsters (CLB)D251995-06-18No205 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Brayden TraceyMonsters (CLB)LW192001-05-28Yes177 Lbs6 ft0NoNoNo4Pro & Farm894,167$0$0$No863,333$863,333$863,333$Lien NHL
Carson FochtMonsters (CLB)C202000-02-04Yes180 Lbs6 ft0NoNoNo3Pro & Farm883,333$0$0$No883,333$883,333$Lien NHL
Cody FransonMonsters (CLB)D331987-08-08Yes224 Lbs6 ft5NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Cole CoskeyMonsters (CLB)RW211999-06-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Cole SchwindtMonsters (CLB)RW192001-04-25Yes182 Lbs6 ft2NoNoNo4Pro & Farm925,000$0$0$No910,833$910,833$910,833$Lien NHL
Dmitry SokolovMonsters (CLB)RW221998-04-14No221 Lbs5 ft11NoNoNo1Pro & Farm830,000$0$0$NoLien / Lien NHL
Dmitry ZavgorodniyMonsters (CLB)RW202000-08-11Yes173 Lbs5 ft9NoNoNo3Pro & Farm780,000$0$0$No780,000$780,000$Lien NHL
Drake RymshaMonsters (CLB)C221998-08-06No187 Lbs6 ft0NoNoNo1Pro & Farm733,333$0$0$NoLien / Lien NHL
Drew ShoreMonsters (CLB)C291991-01-29Yes209 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Egor SokolovMonsters (CLB)RW202000-06-07Yes222 Lbs6 ft3NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien NHL
Isaac RatcliffeMonsters (CLB)LW211999-02-15No200 Lbs6 ft6NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Ivan ChekhovichMonsters (CLB)LW/RW211999-01-04No185 Lbs5 ft10NoNoNo2Pro & Farm903,333$0$0$No903,333$Lien / Lien NHL
Jack KopackaMonsters (CLB)LW221998-03-05No197 Lbs6 ft2NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Jayce HawrylukMonsters (CLB)LW/RW241996-01-01No196 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Jeremy HelvigMonsters (CLB)G231997-05-25No188 Lbs6 ft4NoNoNo1Pro & Farm785,000$0$0$NoLien / Lien NHL
John LudvigMonsters (CLB)D202000-08-02Yes213 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Jon MerrillMonsters (CLB)D281992-02-03No195 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Juho LammikkoMonsters (CLB)C241996-01-29Yes191 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Justin AbdelkaderMonsters (CLB)LW/RW331987-02-25No213 Lbs6 ft2NoNoNo3Pro & Farm4,250,000$0$0$No4,250,000$4,250,000$Lien / Lien NHL
Kale ClagueMonsters (CLB)D221998-06-05No177 Lbs6 ft0NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Kody ClarkMonsters (CLB)RW201999-10-13No185 Lbs6 ft3NoNoNo2Pro & Farm894,167$0$0$No894,167$Lien / Lien NHL
Maksim SushkoMonsters (CLB)RW211999-02-10No206 Lbs6 ft0NoNoNo2Pro & Farm879,167$0$0$No879,167$Lien / Lien NHL
Mark KastelicMonsters (CLB)C201999-11-03Yes210 Lbs6 ft3NoNoNo3Pro & Farm821,667$0$0$No821,667$821,667$Lien NHL
Matt LuffMonsters (CLB)RW231997-05-05No196 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Mikhail BerdinMonsters (CLB)G221998-03-01No163 Lbs6 ft2NoNoNo1Pro & Farm766,666$0$0$NoLien / Lien NHL
Nikita ScherbakMonsters (CLB)RW241995-12-30Yes192 Lbs6 ft2NoNoNo1Pro & Farm1,063,333$0$0$NoLien / Lien NHL
Noah GregorMonsters (CLB)C/LW221998-07-28No185 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Oscar DanskMonsters (CLB)G261994-02-28No204 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Otto KoivulaMonsters (CLB)C/LW/RW221998-09-01No223 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Otto SomppiMonsters (CLB)C221998-01-12No192 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Pierre-Olivier JosephMonsters (CLB)D211999-07-01No185 Lbs6 ft2NoNoNo2Pro & Farm1,075,833$0$0$No1,075,833$Lien / Lien NHL
Skyler McKenzieMonsters (CLB)LW221998-01-20No154 Lbs5 ft8NoNoNo1Pro & Farm741,666$0$0$NoLien / Lien NHL
Tanner KeroMonsters (CLB)C281992-07-24No180 Lbs6 ft0NoNoNo1Pro & Farm737,500$0$0$NoLien / Lien NHL
Trent MinerMonsters (CLB)G192001-02-05Yes185 Lbs6 ft1NoNoNo4Pro & Farm828,333$0$0$No828,333$828,333$828,333$Lien NHL
Trenton BourqueMonsters (CLB)D221998-06-11Yes200 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Ty RonningMonsters (CLB)LW/RW221997-10-20No167 Lbs5 ft9NoNoNo1Pro & Farm750,833$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3922.85194 Lbs6 ft11.69911,838$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Otto Koivula30014
2Jayce Hawryluk30113
3Noah Gregor25212
4Adam BrooksOtto Koivula15023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130131
2Pierre-Olivier Joseph30023
3Adam Brooks25320
415122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Otto Koivula60014
2Jayce Hawryluk40113
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Pierre-Olivier Joseph40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Otto Koivula60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Pierre-Olivier Joseph40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Otto Koivula6012260122
240122Pierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Otto Koivula60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Pierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Otto Koivula
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Otto Koivula
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Noah Gregor, , Noah Gregor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Pierre-Olivier Joseph, Pierre-Olivier Joseph
Tirs de pénalité
Otto Koivula, , , , Jayce Hawryluk
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
TotalDomicileVisiteur
# 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 pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 matchs 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
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,556,166$ 1,331,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




TotalDomicileVisiteur
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
282452602252289234554125120002215311934412014022301361152190289511800141059978929981028994953412275685113916284058120.00%4448979.95%51671302955.17%1414274651.49%692128353.94%2082144018386171046534
282303805423269271-241181701212143136741122104211126135-9602694677363510393667254085884281835265880357812703467621.97%2314680.09%31266257949.09%1195266044.92%656136048.24%1924131919736101064531
38246170517627819286412290404214399444124801134135934292278488766051048577202852931890990982285661104016383577019.61%4316185.85%71699299956.65%1394266152.39%663125952.66%2131148118066031064547
3824024011610258226324125110003213811028411513011381201164802584457032210873701329901023965956114251371172113953516217.66%2595678.38%21643301354.53%1266252450.16%667126952.56%2153152217985841053548
482392804047246239741279010221341003441121903025112139-2778246443689328985641225968518688507524537571318190959511419.16%5339681.99%41543303650.82%1304275747.30%612128347.70%2109145918506251024523
582541302265298169129412790001414784634127402251151856610829851881609113104731530309541007103387212065259720252334218.03%2584482.95%21855289364.12%1467240561.00%825129263.85%2273165516805481030548
682481606354373237136412080333418612561412880302018711275963736651038191411259614386211641295135885264675565521342175525.35%2855281.75%42111346660.91%1597279157.22%829140958.84%2288167316855401010534
782551800243329214115412690013217211557412990011115799581103295819100713596949343811371182110349241173752720872225424.32%2335476.82%41971325160.63%1497255558.59%801138757.75%2305168116145361035560
8824624020463832371464122902026205119864124150002017811860923837131096061691099914366312061201123162255673045220611724526.16%2004279.00%11892312460.56%1378249255.30%848143858.97%240418061574498997547
8824624020463832371464122902026205119864124150002017811860923837131096061691099914366312061201123162255673045220611724526.16%2004279.00%11892312460.56%1378249255.30%848143858.97%240418061574498997547
982284002273268289-2141131802152126133-741152200121142156-147926848074821927790162999986955102871262270047319791924020.83%2094976.56%41739311055.92%1399264352.93%744136554.51%2205157617125591059556
Total Saison régulière9024772680311754553374254582945124712001572834175212594934512301480161026211622128633697733746024939812561328105590614334631113441140011551779270957921795220187326268420.97%328363180.78%37192823362457.35%152892872653.22%81851478355.37%2428317423191106221113855978
Séries éliminatoires
223167000008450341284000004225171183000004225173284149233013225261838268279275165881943644111292620.16%1241786.29%253888760.65%44874460.22%20635757.70%601414495175301156
2624000001522-73120000089-131200000713-641528430053612076072732218669511218527.78%33875.76%011722053.18%10020947.85%5110150.50%147100143437437
31046000002537-12514000001022-1253200000151508254772001158131712291995399106140239521019.23%54885.19%111733035.45%13343030.93%4614232.39%2211512657312158
340400000715-82020000027-52020000058-307132000223012335493901343748732314.35%22768.18%07013651.47%6413647.06%286543.08%946395315025
440400000713-62020000058-32020000025-3071320001330117543231013254951072229.09%40977.50%07514751.02%6715842.41%346353.97%9059100314823
58440000020200422000009904220000011110820375700411412808999848259636321436616.67%28775.00%014531645.89%12226046.92%6714047.86%2011371916210653
612570000035341624000001315-26330000022193103565100001411100426145153127144511310030343511.63%45686.67%022944251.81%24947951.98%11019057.89%2751912988915073
7514000001120-931200000912-32020000028-6211193000326015835674610207504415717529.41%20670.00%08818348.09%9621544.65%378245.12%12788126386834
Total Séries éliminatoires72324000000204211-73715220000098107-935171800000106104264204371575017262664246680884277442238268394916163406017.65%3666881.42%31379266151.82%1279263148.61%579114050.79%175912061716547922462