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Connexion

Requins
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Karl Freniere | Morale : 50 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralKarl Freniere
EntraîneurDominique Ducharme
DivisionBeliveau
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure24
Limite contact 42 / 60
Espoirs12


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique287-258-36 (0.494%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)8-8
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
1Zach Parise0X100.00694289816970897339504875728994050710381775,000$
2Brandon Hagel0X100.007152877963739071405052792559590507002411,500,000$
3Kyle Palmieri0XX100.00765377836872867436514964637578047690311650,000$
4Tyson Jost0XX100.006942878567639360604947837566680506802400$
5Ross Colton0XX100.008445907970648271815050685357590506702600$
6Warren Foegele0XX100.00804490777363936540494868256567050660261945,000$
7Paul Cotter0XX100.00747571637574786176393963614444050650221650,000$
8William Carrier0X100.00904684797961836244494766256568036650271700,000$
9Givani Smith0XX100.00849942718151695644474661255555047610241650,000$
10Artem Zub0X100.008445798275829061254339832559590506602600$
11Radko Gudas0X100.00999963757775916025423889257375047660321650,000$
12Zach Whitecloud0X100.008245897576778159254240832558600506402500$
13Dylan Coghlan0X100.007644907372657067254239722555550506102400$
14Simon Benoit0X100.00977087727464755625403873255050050590241925,000$
15Isaak Phillips (R)0X100.00757379647369735325313162484444050550201925,000$
Rayé
MOYENNE D’ÉQUIPE100.0081588076736883634145437340616204865
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
1Filip Gustavsson0100.00605554726554836365609546460506402400$
2Nico Daws (R)0100.0063474783695669636562784646044630211925,000$
3Akira Schmid (R)0100.0055415186605755606059304444020580221777,777$
Rayé
MOYENNE D’ÉQUIPE100.005948518065566962636068454503862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN501450,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond 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
Akira SchmidRequins (COU)G225/12/2000Yes205 Lbs196 CMNoNoNoNo1Pro & Farm777,777$777,777$0$0$NoLien
Artem ZubRequins (COU)D2610/2/1995No203 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien
Brandon HagelRequins (COU)LW248/26/1998No174 Lbs180 CMNoNoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLien / Lien NHL
Dylan CoghlanRequins (COU)D242/19/1998No190 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien
Filip GustavssonRequins (COU)G246/7/1998No184 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien
Givani SmithRequins (COU)LW/RW242/27/1998No210 Lbs188 CMNoNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Isaak PhillipsRequins (COU)D209/28/2001Yes194 Lbs191 CMNoNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Kyle PalmieriRequins (COU)LW/RW312/1/1991No185 Lbs180 CMNoNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Nico DawsRequins (COU)G2112/22/2000Yes203 Lbs193 CMNoNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Paul CotterRequins (COU)C/RW2211/16/1999No206 Lbs185 CMNoNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Radko GudasRequins (COU)D326/5/1990No208 Lbs183 CMNoNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Ross ColtonRequins (COU)C/LW269/11/1996No191 Lbs183 CMNoNoNoNo0Pro & Farm0$0$NoLien
Simon BenoitRequins (COU)D249/19/1998No191 Lbs191 CMNoNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Tyson JostRequins (COU)C/LW243/14/1998No187 Lbs180 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Warren FoegeleRequins (COU)LW/RW264/1/1996No198 Lbs188 CMNoNoNoNo1Pro & Farm945,000$945,000$0$0$NoLien / Lien NHL
William CarrierRequins (COU)LW2712/20/1994No218 Lbs188 CMNoNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Zach PariseRequins (COU)LW387/28/1984No193 Lbs180 CMNoNoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Zach WhitecloudRequins (COU)D2511/28/1996No209 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1825.56197 Lbs185 CM0.67559,599$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseWarren Foegele40122
2Brandon HagelTyson Jost30122
3Zach PariseRoss ColtonBrandon Hagel20122
4Ross ColtonTyson JostWarren Foegele10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasZach Whitecloud40122
2Dylan Coghlan30122
3Simon BenoitIsaak Phillips20122
4Radko GudasZach Whitecloud10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseWarren Foegele60122
2Brandon HagelTyson Jost40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasZach Whitecloud60122
2Dylan Coghlan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach Parise60122
2Brandon HagelTyson Jost40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasZach Whitecloud60122
2Dylan Coghlan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Radko GudasZach Whitecloud60122
2Zach Parise40122Dylan Coghlan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach Parise60122
2Brandon HagelTyson Jost40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasZach Whitecloud60122
2Dylan Coghlan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseWarren FoegeleRadko GudasZach Whitecloud
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseWarren FoegeleRadko GudasZach Whitecloud
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ross Colton, Warren Foegele, Brandon HagelRoss Colton, Warren FoegeleBrandon Hagel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Benoit, Isaak Phillips, Simon BenoitIsaak Phillips,
Tirs de pénalité
, Zach Parise, Brandon Hagel, Tyson Jost, Ross Colton
Gardien
#1 : Filip Gustavsson, #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$ 1,007,278$ 1,007,278$ 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$




Requins 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
1Christian Dvorak3251702684388962350651106116.02%289720322.1650851352188212953201063.1781.22619
2David Kampf314138204342995822956595814.41%239566018.0321416296314249764.1891.2158
3Brendan Perlini32515615531115313924327987217.89%147451013.88304272147158234825942.9071.38611
4Brett Howden2511121782906510626551774315.07%252534121.2834589214459144319963.6651.09013
5Emerson Etem250851782631375425518263413.41%71361514.4618314910400005146.9841.4501

Requins 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
1Tristan Jarry18611262120.9072.891115510853858083023710.90030
2Logan Thompson84651710.9182.69506221227276016872101.00021
3Matt Hackett84483150.8863.2050448126923561222230.82935
4Filip Gustavsson82423540.8774.0148242032226221669610.88927
5Max Lagace57242930.8753.9933654022417851031600.00%7

Requins 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
2016843631044814582881704222140203129613616042141702450162152101014587931251311641271551528081005917855642374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201784393301731394436-42422313013111971781942162000420197258-61943946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
20188250230333048424024441324013102651011644118190202021913980115484854133803182161135830971118103692627274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
201984392705553245255-10422412013201241022242151504233121153-3210624541766203857971152643949829825722701103280914063246921.30%4007182.25%101127181262.20%1196198260.34%645107160.22%1916120218857011297664
202084353605422323335-1242231600012168170-242122005410155165-1090323502825001169710310251582981584737264196070213793017825.91%3507977.43%17822140158.67%932161157.85%743122760.55%1875116818746871326674
20218456180217047723024742323001602529815442241502010225132931314777061183011621491571028901086920869322770116743095730511136.39%2155972.56%6954153762.07%915155758.77%770128859.78%2058144518116311210609
2022823536053215763712054118180302028215412841171802301294217778857688414601021719315992331743745822482670115149215372639034.22%2477470.04%19658124053.06%731133854.63%855148657.54%1779107518166641351703
Total Saison régulière583245258019212317282020697512911491070101010515489126362929615109111312127211571156122820468675066129869698236018398619661515917290194487397523410685197856028.31%223053675.96%11251281100946.58%53481191344.89%4254890047.80%12817816713574468388594419
Séries éliminatoires
2016844000002933-44220000013112422000001622-682951800061211025568909702667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
2019514000001220-820200000511-63120000079-22122234005340152563759017274549019526.32%271062.96%06410759.81%7011461.40%366357.14%11068114387538
2020734000002427-332100000981413000001519-46243458001085119068526822391085210521419.05%26676.92%15610951.38%7412957.36%599860.20%153951635510654
20211064000006527385410000038102852300000271710126595160002524160357136114971037617724103421433.33%12741.67%010319752.28%12321158.29%8216051.25%2441752327614669
Total Séries éliminatoires168800000534858530000029227835000002426-216538413700182111353617417217515609249116263602033.33%541964.81%016230453.29%16736146.26%10221048.57%361243405131235109

Requins 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
1Brett Howden221417319818505724.56%3544720.3258131100022160.4001.3900
2David Kampf221115269412465918.64%1938417.46257810114063.0601.3500
3Kirby Dach10718259013364914.29%2422322.374371600020048.6002.2300
4Nick Paul10177249020405829.31%3222322.373471000011058.3332.1500
5Max Jones2210132371028196116.39%2135816.303581100001122.7301.2800

Requins 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
1Logan Thompson106310.9282.616220027376226500.00%0
2Matt Hackett84400.9102.984630023256131000.00%0
3Max Lagace73220.8873.834230027239149000.00%0
4Tristan Jarry51400.8844.003000020172101000.00%0