Connexion

Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Mathieu Hélie | Morale : 17 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMathieu Hélie
EntraîneurTodd Nelson
DivisionNorth
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs38


Historique d'équipe

Saison actuelle0-0
Historique160-171-37 (0.435%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Blake SpeersXX100.00553792636979796062606063547574512100261750,000$
2Conner BleackleyX100.00584089637383866259626161537371541700271800,000$
3Denis GurianovXX100.007449857283808369536475597271737818002621,000,000$
4Jack RoslovicXX100.00543597697574906579676463687572712100263875,000$
5Logan ShawXX100.007748856485939167716766735682764721003011,200,000$
6Stefan MatteauXX100.00856963638491856360636263538278632000291900,000$
7Sebastian RepoX100.008260726486918972537171615874725316002721,000,000$
8Tanner KaspickX100.00583791627482816255626263507173541800251775,000$
9William BittenX100.00513695645589896561656560566769582100251850,000$
10Cole Fonstad (R)XX100.00634788797278817767696969696470651200232750,000$
11Dillon HeatheringtonX100.00643989649179726730676565527875581500281900,000$
12Joel HanleyX100.00583890647084697330737267469083321700321850,000$
13Matt BartkowskiX100.00543694657775717130717168489284331600351850,000$
14Noah JuulsenX100.00723893657976506730676571487170721700262900,000$
15Matthew KierstedX100.006669657876788075307468776769724516002511,750,000$
16Miska Kukkonen (R)X100.00634978667272736330626263456968581700231750,000$
17Chad Krys (R)X100.00685480777761707930686676666668801500251900,000$
Rayé
1Otto Kivenmaki (R)X100.00473294636268696062605963567274421900231750,000$
2Gustav OlofssonXXX100.0069467765837485673070646662787559900281850,000$
3Parker WotherspoonX100.00523989636982896030605962466968571800261900,000$
MOYENNE D’ÉQUIPE100.0064458567767979674866656656747357170
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 SPÂgeContratSalaire
1Collin Delia100.0080807882808486858480797882381900292750,000$
2Mason McDonald100.0071747394798787878771717478771900271750,000$
Rayé
MOYENNE D’ÉQUIPE100.007677768880868786867675768058190
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Nelson74836972817669CAN5311,000,000$


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
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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Blake SpeersMonsters (CLB)C/RW261997-01-02No185 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Chad KrysMonsters (CLB)D251998-04-10 14:40:49Yes185 Lbs5 ft11NoNoYesNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Cole FonstadMonsters (CLB)C/LW232000-04-24 14:37:29Yes165 Lbs5 ft10NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Collin DeliaMonsters (CLB)G291994-06-20No209 Lbs6 ft2NoNoYesNo2Pro & Farm750,000$0$0$No750,000$Lien
Conner BleackleyMonsters (CLB)C271996-02-07No192 Lbs6 ft0NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Denis GurianovMonsters (CLB)LW/RW261997-06-07No195 Lbs6 ft2NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Dillon HeatheringtonMonsters (CLB)D281995-05-09No225 Lbs6 ft4NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Gustav OlofssonMonsters (CLB)LW/RW/D281994-12-01No196 Lbs5 ft11NoNoNoNo1Pro & Farm850,000$0$0$NoLien
Jack RoslovicMonsters (CLB)C/RW261997-01-29No187 Lbs6 ft1NoNoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien / Lien NHL
Joel HanleyMonsters (CLB)D321991-06-08No190 Lbs5 ft11NoNoYesNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Logan ShawMonsters (CLB)C/RW301992-10-05No208 Lbs6 ft3NoNoYesNo1Pro & Farm1,200,000$0$0$NoLien
Mason McDonaldMonsters (CLB)G271996-04-23No201 Lbs6 ft4NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Matt BartkowskiMonsters (CLB)D351988-06-04No198 Lbs6 ft1NoNoYesNo1Pro & Farm850,000$0$0$NoLien
Matthew KierstedMonsters (CLB)D251998-04-14 15:15:19No181 Lbs6 ft0NoNoNoNo1Pro & Farm1,750,000$0$0$NoLien / Lien NHL
Miska KukkonenMonsters (CLB)D232000-06-19 04:46:41Yes199 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Noah JuulsenMonsters (CLB)D261997-04-02No193 Lbs6 ft2NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Otto KivenmakiMonsters (CLB)C232000-03-24 15:38:35Yes137 Lbs5 ft8NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Parker WotherspoonMonsters (CLB)D261997-08-24No190 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Sebastian RepoMonsters (CLB)RW271996-06-23No211 Lbs6 ft3NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Stefan MatteauMonsters (CLB)C/LW291994-02-23No220 Lbs6 ft2NoNoYesNo1Pro & Farm900,000$0$0$NoLien
Tanner KaspickMonsters (CLB)C251998-01-28No200 Lbs6 ft0NoNoNoNo1Pro & Farm775,000$0$0$NoLien
William BittenMonsters (CLB)RW251998-07-10No167 Lbs5 ft10NoNoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.86192 Lbs6 ft11.32900,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole FonstadLogan Shaw40023
2Denis GurianovJack RoslovicSebastian Repo30023
3Stefan MatteauTanner KaspickWilliam Bitten20023
4Cole FonstadDenis GurianovBlake Speers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad KrysMatthew Kiersted40122
2Joel HanleyMiska Kukkonen30122
3Noah JuulsenMatt Bartkowski20122
4Matthew KierstedChad Krys10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovCole FonstadSebastian Repo60122
2William BittenLogan ShawJack Roslovic40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew KierstedMiska Kukkonen60122
2Chad KrysJoel Hanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1William BittenSebastian Repo60122
2Cole FonstadLogan Shaw40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miska KukkonenMatthew Kiersted60122
2Chad KrysMatt Bartkowski40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Fonstad60122Miska KukkonenMatthew Kiersted60122
2Sebastian Repo40122Joel HanleyChad Krys40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1William BittenSebastian Repo60122
2Cole FonstadLogan Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miska KukkonenMatthew Kiersted60122
2Chad KrysJoel Hanley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Logan ShawCole FonstadSebastian RepoChad KrysMatthew Kiersted
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Logan ShawCole FonstadSebastian RepoChad KrysMatthew Kiersted
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sebastian Repo, Cole Fonstad, William BittenCole Fonstad, Sebastian RepoWilliam Bitten
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chad Krys, Miska Kukkonen, Matthew KierstedMiska KukkonenMiska Kukkonen, Matthew Kiersted
Tirs de pénalité
Jack Roslovic, Sebastian Repo, Cole Fonstad, Logan Shaw, William Bitten
Gardien
#1 : Collin Delia, #2 : Mason McDonald
Lignes d’attaque personnalisées en prolongation
, Sebastian Repo, Cole Fonstad, Logan Shaw, Denis Gurianov, Stefan Matteau, Stefan Matteau, Jack Roslovic, Tanner Kaspick, William Bitten, Blake Speers
Lignes de défense personnalisées en prolongation
Miska Kukkonen, Matthew Kiersted, , Noah Juulsen, Chad Krys


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%000%0000%000%000%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%000%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%000%000%
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 billets4020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,980,000$ 1,980,000$ 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$ 10 0$ 0$




Monsters Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Gabriel Dumont304842243084411253696811527.29%64600919.7712445626800048852.73%41.0304
2William Bitten532118189307-344834681512439.49%122807915.19182543120101269842.86%00.76210
3Nathan Walker3551341602945848271537125110.71%69665618.75253560270101521843.03%00.8844
4Nail Yakupov304120168288169628460012609.52%52608620.02244468256000820047.13%00.95420
5Sebastian Repo278104164268-6423386665311598.97%152667224.00343973228000109244.16%10.80320

Monsters Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Vitek Vanecek347157138410.9033.252015834141091111944507120.72383
2Mason McDonald1665571170.9033.258863101480494611310.80451
3Collin Delia52162960.9213.233049401642074999140.77818
4Calvin Pickard50110.9292.711550079900000

Monsters Statistiques de l'Équipe de Carrière

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
2020762634056322632603381517012211381201838111704411125140-157626347673933104757610276289091490275258369952417332795218.64%2305277.39%11464288250.80%1410281450.11%635123551.42%178512311841569979484
2020762634056322632603381517012211381201838111704411125140-157626347673933104757610276289091490275258369952417332795218.64%2305277.39%11464288250.80%1410281450.11%635123551.42%178512311841569979484
202176262905745239241-238121402334120119138141503411119122-3822394236620192776110258280284289174238972654516363105216.77%2104180.48%21549285154.33%1395273950.93%622119352.14%183012611814575987495
202276303201733218237-1938141800321116125-938161401412102112-1078218394612117874628238577175084246251471151815442945619.05%2244878.57%21333271149.17%1370282148.56%575119248.24%178912301845568980485
202376164204635196262-66388230221291131-403881902423105131-26571963355314046697492918929101294954309599853423181543824.68%1714772.51%1934199246.89%987209847.04%499107946.25%150580516827181423707
Total Saison régulière38012417102032161711791260-8119064890612109603615-1219060820142068576645-69369117921043283118424370349471340942824432448632413164383326458964131625019.00%106524077.46%767441331850.64%65721328649.47%2966593449.98%869657609025300153502657
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Monsters Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Monsters Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA