Senators
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Eric Kozlowski | Morale : 50 | Moyenne d'Équipe : 62
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Statistiques d'Équipe


Directeur généralEric Kozlowski
Atlantic Division
Eastern Conference




Capacité de l'Aréna5,000
Assistance
5,000




20
20
40 / 55
Éspoirs15


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 Moyen
1Joel L'Esperance0X100.00536182565573844665606544552540050630271791,700$
2Kyle Rau0X100.00535882565565754465606548542540050620301750,000$
3Tristen Nielsen (R)0X100.00545180565658554465616448542540050610231934,250$
4Danny O'Regan0XX100.00525784575662724665616441552540050610291750,000$
5Gabriel Bourque29X100.00536483545379914036586442522540050610321750,000$
6Dominic Toninato0XX100.00525583565659684465596547542540050610291775,000$
7Pierrick Dube0X100.00535282565758604436596549542540050610223925,000$
8Luke Toporowski0X100.00535482555658644236596546532540050600223925,000$
9Maxim Marushev (R)0X100.00525784535363733965576438512540050580241925,000$
10Brandon Cutler (R)0X100.00534883515258493665566333502540050560232943,500$
11Daniel D'Amato0XXX100.00524184515358453765576334502540050560223925,000$
12Darren Raddysh0X100.00735196688061556440676955666666050740271800,625$
13Griffin Mendel (R)0X100.00563577616058455036646646582540050640242952,750$
14Louie Belpedio0X100.00556579535381944036586441522540050610271813,750$
15Peetro Seppala0X100.00536582515282953736576340502540050600222925,000$
16Otto Leskinen (R)0X100.00544281535658453936596340512540050590261750,000$
17Philip Kemp (R)0X100.00535882525365753836586342512540050590241800,000$
18Frederic Allard0X100.00535682525360693736576339502540050570252811,200$
Rayé
MOYENNE D'ÉQUIPE100.0054548355566467434959644353274105061
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 Moyen
1Kevin Mandolese (R)100.0072655374756173706973722555050710221925,000$
2David Tendeck (R)100.0074655363746071556075652555050660231925,000$
Rayé
MOYENNE D'ÉQUIPE100.007365536975617263657469255505069
Nom du Coach 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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Brandon CutlerSenators (OTT)C232000-01-04Yes201 Lbs6 ft2NoNoNo2Pro & Farm943,500$314,500$943,500$314,500$0$0$No943,500$Lien / Lien NHL
Daniel D'AmatoSenators (OTT)C/LW/RW222001-04-08No182 Lbs6 ft1NoNoNo3Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$925,000$Lien / Lien NHL
Danny O'ReganSenators (OTT)C/LW291994-01-30No180 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Darren RaddyshSenators (OTT)D271996-02-28No200 Lbs6 ft1NoNoNo1Pro & Farm800,625$266,875$800,625$266,875$0$0$NoLien / Lien NHL
David TendeckSenators (OTT)G231999-11-25Yes180 Lbs6 ft1NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Dominic ToninatoSenators (OTT)C/LW291994-03-09No190 Lbs6 ft2NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Frederic AllardSenators (OTT)D251997-12-27No179 Lbs6 ft1NoNoNo2Pro & Farm811,200$270,400$811,200$270,400$0$0$No811,200$Lien / Lien NHL
Gabriel BourqueSenators (OTT)LW321990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Griffin MendelSenators (OTT)D241999-02-18Yes220 Lbs6 ft6NoNoNo2Pro & Farm952,750$317,583$952,750$317,583$0$0$No952,750$Lien / Lien NHL
Joel L'EsperanceSenators (OTT)C271995-08-18No210 Lbs6 ft2NoNoNo1Pro & Farm791,700$263,900$791,700$263,900$0$0$NoLien / Lien NHL
Kevin MandoleseSenators (OTT)G222000-08-22Yes200 Lbs6 ft5NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Kyle RauSenators (OTT)C301992-10-24No171 Lbs5 ft9NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Louie BelpedioSenators (OTT)D271996-05-14No197 Lbs5 ft11NoNoNo1Pro & Farm813,750$271,250$813,750$271,250$0$0$NoLien / Lien NHL
Luke ToporowskiSenators (OTT)LW222001-04-12No183 Lbs5 ft11NoNoNo3Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$925,000$Lien / Lien NHL
Maxim MarushevSenators (OTT)C241999-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Otto LeskinenSenators (OTT)D261997-02-06Yes183 Lbs5 ft11NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Peetro SeppalaSenators (OTT)D222000-08-17No192 Lbs6 ft2NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Philip KempSenators (OTT)D241999-02-12Yes202 Lbs6 ft3NoNoNo1Pro & Farm800,000$266,667$800,000$266,667$0$0$NoLien / Lien NHL
Pierrick DubeSenators (OTT)RW222001-01-07No172 Lbs5 ft8NoNoNo3Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$925,000$Lien / Lien NHL
Tristen NielsenSenators (OTT)C232000-02-23Yes192 Lbs5 ft10NoNoNo1Pro & Farm934,250$311,417$934,250$311,417$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.15191 Lbs6 ft11.50854,889$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dominic ToninatoJoel L'EsperancePierrick Dube30122
2Gabriel BourqueKyle RauDaniel D'Amato30122
3Luke ToporowskiDanny O'ReganTristen Nielsen20122
4Joel L'EsperanceTristen NielsenKyle Rau20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philip KempDarren Raddysh30122
2Griffin MendelLouie Belpedio30122
3Peetro SeppalaOtto Leskinen20122
4Philip KempDarren Raddysh20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dominic ToninatoJoel L'EsperancePierrick Dube50122
2Gabriel BourqueKyle RauDaniel D'Amato50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philip KempDarren Raddysh50122
2Griffin MendelLouie Belpedio50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Joel L'EsperanceKyle Rau50122
2Dominic ToninatoGabriel Bourque50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Peetro SeppalaDarren Raddysh50122
2Griffin MendelLouie Belpedio50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Joel L'Esperance50122Otto LeskinenDarren Raddysh50122
2Kyle Rau50122Griffin MendelLouie Belpedio50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Joel L'EsperanceKyle Rau50122
2Dominic ToninatoGabriel Bourque50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philip KempDarren Raddysh50122
2Griffin MendelLouie Belpedio50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dominic ToninatoJoel L'EsperancePierrick DubeGriffin MendelDarren Raddysh
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dominic ToninatoJoel L'EsperancePierrick DubeGriffin MendelDarren Raddysh
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Maxim Marushev, Brandon Cutler, Danny O'ReganMaxim Marushev, Brandon CutlerDanny O'Regan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Peetro Seppala, Otto Leskinen, Philip KempPeetro SeppalaOtto Leskinen, Philip Kemp
Tirs de Pénalité
Joel L'Esperance, Kyle Rau, Dominic Toninato, Gabriel Bourque, Pierrick Dube
Gardien
#1 : Kevin Mandolese, #2 : David Tendeck
Lignes d'Attaque Perso. en Prol.
Joel L'Esperance, Kyle Rau, Dominic Toninato, Gabriel Bourque, Pierrick Dube, Danny O'Regan, Danny O'Regan, Tristen Nielsen, Luke Toporowski, Maxim Marushev, Daniel D'Amato
Lignes de Défense Perso. en Prol.
Philip Kemp, Darren Raddysh, Griffin Mendel, Louie Belpedio, Peetro Seppala


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna35001500
Prix des Billets5025
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
41 0 - 0.00%0$0$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 17,097,776$ 17,097,776$ 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$




Senators

# 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
1Joel L'Esperance2461572263837912731329483118.89%101496820.2025325711377142113846.43%131.5402
2Mikko Lehtonen821151502651732212310929339.25%138200624.471618345046107730.00%112.6400
3Dakota Joshua165741251991297228012537319.84%27267116.19112131100029252.99%61.4901
4Gustav Lindstrom82751211961422799026228.63%94172221.019615291782720.00%32.2800
5Frederic Allard20269981671407311820727325.27%165257312.748311260001810.00%81.3000

Senators

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Will Cranley8169930.8354.50487708366222213071700.6005
2Dan Vladar82542620.9152.7749338022826921543100.7508
3Kevin Mandolese83176060.8655.1249852042531521947540.0000

Senators

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
202182679031027993744254136301100447184263413160200235219016214379913192118080310249237265908598639272242831167715132038139.90%1965074.49%22628130748.05%567121646.63%828177246.73%1760117119775891200613
202282502602121325229964130100100018099814120160112114513015110325572897001101179452866905100194821269291438716741724727.33%1883581.38%8772147952.20%803157950.85%579109652.83%1819114317816861339666
202382136003600220423-20341102602300116181-654133401300104242-138382203505704079726632941103890898873136115951815441183428.81%801877.50%2800160050.00%686140648.79%606120950.12%163097719256741375682
Total Saison Régulière24613095088231344102631812376390440074346427912354560442360156239291134422413585481894994092458466194327682799955807029042582473149316232.86%46410377.80%322200438650.16%2056420148.94%2013407749.37%521132925683195039151961
Séries
202116115000001259629972000008056247430000045405221252093340006731275130179163169464197261295421842.86%381073.68%411923750.21%10623545.11%14533443.41%392281347114222107
202240400000914-52020000069-32020000035-209162500423011931345401434330661100.00%15473.33%0407553.33%478455.95%255149.02%834891346532
Total Séries20119000001341102411740000086652194500000484532213422535900469342763231213217169607240291361531833.96%531473.58%415931250.96%15331947.96%17038544.16%475330438149287139

Senators

# 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
1Mikko Lehtonen1619274613029206927.54%3237923.74437150110110.00%12.4200
2Joel L'Esperance202718452015179129.67%836918.476391130381042.38%42.4400
3Gustav Lindstrom1618254323030325234.62%2333120.7423560111020.00%22.5900
4Frederic Allard20152742141521227121.13%2834017.01325150221400.00%22.4700
5Dakota Joshua201223351942795920.34%132416.21055510111059.92%12.1600

Senators

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Will Cranley1611320.7935.999610096464264300.0000
2Dan Vladar40400.9023.52239001414391000.0000