Connexion

Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Daniel Deschênes | Morale : 75 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDaniel Deschênes
DivisionNorth
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs43


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique184-168-37 (0.473%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)0-4
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
1Aleksi SaarelaXX100.00513596666197916764676870637774515000271900,000$
2Josh ArchibaldX100.00916570666682817156717274618883275000311975,000$
3Michael McLeodXX100.00867266647887686574676364527476725000261950,000$
4Ryan MacInnisX100.007752626376667874677373635478726150002811,000,000$
5David TomasekXX100.006151847778727579767876677372724250002811,100,000$
6Marek HeclX100.005746907971737578607576667473754250002611,650,000$
7Joonas Oden (R)XX100.00634989768074757659727166687070525000241850,000$
8Austen Swankler (R)X100.00686472787679807676696872696667475000222950,000$
9Hunter McKown (R)X100.00716174777774677782697271706467485000212975,000$
10Ryan Francis (R)X100.00605383787584757770686972696668675000222750,000$
11Aidan Dudas (R)X100.00605186816979857759696870686570695000241750,000$
12Brett StapleyX100.00666669797376758075737170676767535000252850,000$
13Akil Thomas (R)X100.00695479807382757975707273736572805000241900,000$
14Jake DotchinX100.00927858648571617339757270528177425000301950,000$
15Madison BoweyX100.009181596580796368307566735278765750002921,775,000$
16Lucas JohansenX100.00553794637783806630666466457776595000261900,000$
17Zachary Uens (R)X100.00706572787685858030757274666666565000231750,000$
18Jacob BengtssonX100.00727164768485857930726878666769485000252975,000$
19Graham Sward (R)X100.00615679787784807330676678676366585000202750,000$
20Jordan Harris (R)X100.00715084787589837830736875686570755000241900,000$
21Jamie Drysdale (R)X100.007747888274907575307668727562659550002221,000,000$
Rayé
1Matt BrownX100.00614691777885757860706972696767485000242950,000$
2Urho VaakanainenX100.007053806774827772307271684967687850002511,000,000$
3Erik BrannstromX100.005858787875868777307870726770758347002412,000,000$
MOYENNE D’ÉQUIPE100.0069577874758177755372707164707159500
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
1Jeremy Helvig100.00747170847680808080747473774750002711,000,000$
2Tyler Parsons100.00747473747478797878747377815450002621,000,000$
Rayé
1Chris Nell100.00757170727286868686757480844050002911,100,000$
MOYENNE D’ÉQUIPE100.007472717774818281817474778147500
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 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
Aidan DudasComets (NJD)LW242000-06-15 16:17:43Yes170 Lbs5 ft8NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Akil ThomasComets (NJD)C242000-01-02 13:45:55Yes195 Lbs6 ft0NoNoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Aleksi SaarelaComets (NJD)C/LW271997-01-07No200 Lbs5 ft10NoNoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Austen SwanklerComets (NJD)C222001-08-21 16:28:57Yes185 Lbs6 ft0NoNoYesNo2Pro & Farm950,000$0$0$No950,000$
Brett StapleyComets (NJD)C251999-02-23 16:20:45No196 Lbs5 ft11NoNoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Chris NellComets (NJD)G291994-09-02No180 Lbs6 ft1NoNoYesNo1Pro & Farm1,100,000$0$0$NoLien
David TomasekComets (NJD)C/RW281996-02-10 14:48:22No187 Lbs6 ft2NoNoNoNo1Pro & Farm1,100,000$0$0$No
Erik BrannstromComets (NJD)D241999-09-02 16:00:53No181 Lbs5 ft9NoNoNoNo1Pro & Farm2,000,000$0$0$NoLien / Lien NHL
Graham SwardComets (NJD)D202003-09-12 17:15:59Yes185 Lbs6 ft3NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Hunter McKownComets (NJD)C212002-08-18 14:43:56Yes205 Lbs6 ft1NoNoNoNo2Pro & Farm975,000$0$0$No975,000$Lien / Lien NHL
Jacob BengtssonComets (NJD)D251999-05-08 14:57:24No203 Lbs6 ft3NoNoNoNo2Pro & Farm975,000$0$0$No975,000$
Jake DotchinComets (NJD)D301994-03-24No210 Lbs6 ft3NoNoYesNo1Pro & Farm950,000$0$0$NoLien
Jamie DrysdaleComets (NJD)D222002-04-08 13:50:41Yes185 Lbs5 ft11NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien / Lien NHL
Jeremy HelvigComets (NJD)G271997-05-25No192 Lbs6 ft4NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Joonas OdenComets (NJD)LW/RW242000-02-17 16:36:40Yes183 Lbs6 ft0NoNoNoNo1Pro & Farm850,000$0$0$No
Jordan HarrisComets (NJD)D242000-07-07 13:48:40Yes189 Lbs5 ft11NoNoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Josh ArchibaldComets (NJD)RW311992-10-06No176 Lbs5 ft10NoNoYesNo1Pro & Farm975,000$0$0$NoLien / Lien NHL
Lucas JohansenComets (NJD)D261997-11-16No182 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Madison BoweyComets (NJD)D291995-04-22No198 Lbs6 ft2NoNoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$Lien / Lien NHL
Marek HeclComets (NJD)RW261997-12-30 14:55:09No168 Lbs5 ft9NoNoNoNo1Pro & Farm1,650,000$0$0$No
Matt BrownComets (NJD)LW241999-08-09 17:34:38No190 Lbs5 ft9NoNoNoNo2Pro & Farm950,000$0$0$No950,000$
Michael McLeodComets (NJD)C/RW261998-02-03No188 Lbs6 ft2NoNoNoNo1Pro & Farm950,000$0$0$NoLien
Ryan FrancisComets (NJD)RW222001-12-02 16:14:11Yes170 Lbs5 ft9NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Ryan MacInnisComets (NJD)C281996-02-14No185 Lbs5 ft9NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Tyler ParsonsComets (NJD)G261997-09-18No186 Lbs6 ft1NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Urho VaakanainenComets (NJD)D251999-01-01 04:58:09No185 Lbs6 ft1NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Zachary UensComets (NJD)D232001-05-13 18:11:18Yes180 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.26187 Lbs6 ft01.371,024,074$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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 billets5025
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$ 2,765,000$ 2,765,000$ 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$ 0 0$ 0$




Comets 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
1Drake Batherson304116164280024124884113610.21%60621620.45246488224000420444.58%40.90412
2Anton Blidh380105146251-933180841999110.60%62653317.191033431380001181447.70%00.7700
3Gustav Forsling42749175224-112396277116417.64%596830419.4524386231320212520%00.5400
4Victor Ejdsell366931061993620481845010219.11%88783521.4116254120300022211248.24%00.51514
5Egor Yakovlev31247150197-296817533447010.00%330666021.353435692700006320%00.5900

Comets 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
1Matiss Kivlenieks376164162210.8963.432054045117511303023220.78852
2Nick Schneider100454350.9003.1454718428628640200.81527
3Chris Nell66362370.9322.6639904117726141281330.81021
4Jeremy Helvig105410.9203.2860320334121970100
5Adam Werner484840.9092.97153800768360000.40020

Comets 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
202076283605421230273-4338151703210115132-1738131902211115141-26752304146445077767010235480473779629253864859317602634517.11%2565678.13%01289271747.44%1239270945.74%535123643.28%183412631776562979486
202076283605421230273-4338151703210115132-1738131902211115141-26752304146445077767010235480473779629253864859317602634517.11%2565678.13%01289271747.44%1239270945.74%535123643.28%183412631776562979486
202176263507242203229-2638131704220105114-93813180302298115-17782033595620567586714235174076781455246471768917362995418.06%2916876.63%11361267950.80%1380279149.44%604117351.49%184812701793569971489
202276273405442225246-2138141803111115116-138131602331110130-20782254006252471776813224672477671260240971657716192905017.24%2464780.89%11233250349.26%1272258949.13%565117348.17%180712431822568980490
202376292708741224215938151204421115107838141504320109108190224363587416479691431041127107985959303095291525791603421.25%2075075.85%51093212651.41%1084209151.84%568106953.13%164095016096851349668
Total Saison régulière3801381680302116711121236-12419072810171172565601-3619066870131095547635-883961112195030621610356366344611240941994096397723212979368133679454127522817.88%125627777.95%762651274249.17%62141288948.21%2807588747.68%896559928778294852612620
Séries éliminatoires
202340400000613-72020000037-42020000036-3061117002220147524450116167291427228.57%12466.67%05510950.46%5611847.46%265745.61%864984367135
Total Séries éliminatoires40400000613-72020000037-42020000036-3061117002220147524450116167291427228.57%12466.67%05510950.46%5611847.46%265745.61%864984367135

Comets 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
1William Eklund4224-30881910.53%28320.90112300000050.00%00.9600
2Adrian Kempe31231068616.67%04615.39011000000043.48%01.3000
3Jacob Bengtsson4022-19171060%1010025.1002220000000%00.4000
4Aleksi Saarela3011106440%45117.17000000000045.45%00.3900
5Ryan MacInnis3011-406960%55418.18000000000053.52%00.3700

Comets 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
1Chris Nell40310.9193.242410013161730000