Connexion

Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: marc-andré savard | Morale : 50 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralmarc-andré savard
EntraîneurD.J. Smith
DivisionDivision Nord-Ouest
ConférenceConference Ouest
CapitaineJohn Hayden
Assistant #1Kyle Clifford
Assistant #2Trevor Lewis


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 80
Espoirs20


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique214-161-33 (0.525%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)23-15
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Logan ShawXX100.00723983638682857381697069737277050690323850,000$
2Kyle Clifford (A)X100.00798673618374737169757572738075050690342750,000$
3John Hayden (C)XX100.00768169668876817077737170647071050690304900,000$
4Trevor Lewis (A)XX100.00793991687875886378696871738879050690382900,000$
5Tyler AngleX100.00573686747788897669707167766566050690241875,000$
6Zack O'BrienXX100.00726578797269717260606769507552050670322850,000$
7Dennis YanX100.00684679597782876065626269676764050640281750,000$
8Liam CoughlinXXX100.00454570658065806565605557506050050600301750,000$
9Santeri Virtanen (R)X100.00553493606270806065606061506060050600261750,000$
10Xavier OuelletX100.00654076628478716330707172627173050680312750,000$
11Markus Niemelainen (R)X100.00803586599079776930615871606868050680271825,000$
Rayé
1Tomas NosekXX100.006837886684758665837070757275730506903200$
2Oskar LindblomXX100.006435926776818362727273748170710506902800$
3Chris TerryXX100.006041706380889374867271687875770506903600$
4Cliff Pu (R)X100.00693986587871766783546064686563050620271750,000$
5Alexei Lipanov (R)X100.00553595656065605565606265506060050600252750,000$
MOYENNE D’ÉQUIPE100.0067468265787680676766676865706705066
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jakub Skarek (R)100.0070676883696869686769686573050690251750,000$
Rayé
1Connor Ingram100.00757778707463656473657467770506902800$
2Dustin Tokarski100.00667271647170627170727176890506903500$
MOYENNE D’ÉQUIPE100.007072727271676568706971698005069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith87798578706579CAN492900,000$


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexei LipanovComets (VAN)C251999-08-17RUSYes182 Lbs6 ft2NoNoProspectNoNo22025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien
Chris TerryComets (VAN)LW/RW361989-04-07CANNo195 Lbs5 ft10NoNoN/ANoNo02025-04-13FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Cliff PuComets (VAN)RW271998-06-03CANYes185 Lbs6 ft2NoNoN/ANoNo12025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Connor IngramComets (VAN)G281997-03-31CANNo196 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Dennis YanComets (VAN)LW281997-04-14CANNo197 Lbs6 ft2NoNoN/ANoNo12025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Dustin TokarskiComets (VAN)G351989-09-16CANNo206 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jakub SkarekComets (VAN)G251999-11-10CZEYes205 Lbs6 ft3NoNoN/ANoNo12025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien / Lien NHL
John Hayden (contrat à 1 volet)Comets (VAN)LW/RW301995-02-14USANo223 Lbs6 ft3NoNoFree AgentNoNo42024-07-16FalseFalsePro & Farm900,000$900,000$450,000$450,000$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien / Lien NHL
Kyle CliffordComets (VAN)LW341991-01-13CANNo208 Lbs6 ft2NoNoFree AgentNoNo22025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Liam CoughlinComets (VAN)C/LW/RW301994-09-19USANo201 Lbs6 ft3NoNoFree AgentNoNo12025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Logan Shaw (contrat à 1 volet)Comets (VAN)C/RW321992-10-05CANNo207 Lbs6 ft4NoNoFree AgentNoNo32024-07-16FalseFalsePro & Farm850,000$850,000$425,000$425,000$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Markus NiemelainenComets (VAN)D271998-06-08FINYes190 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------Lien / Lien NHL
Oskar LindblomComets (VAN)LW/RW281996-08-15SWENo192 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Santeri VirtanenComets (VAN)C261999-05-11FINYes202 Lbs6 ft2NoNoN/ANoNo12025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Tomas NosekComets (VAN)C/LW321992-09-01CZENo209 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Trevor LewisComets (VAN)C/RW381987-01-08USANo199 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Tyler AngleComets (VAN)C242000-09-30CANNo171 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Lien / Lien NHL
Xavier OuelletComets (VAN)D311993-07-29CANNo190 Lbs6 ft1NoNoFree AgentNoNo22025-04-13FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Zack O'BrienComets (VAN)C/RW321992-06-29CANNo192 Lbs5 ft11NoNoFree AgentNoNo22024-07-16FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1929.89197 Lbs6 ft21.26589,474$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan Shaw40122
2John Hayden30122
3Kyle CliffordTrevor LewisZack O'Brien20122
4Dennis YanTyler Angle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus Niemelainen40122
230122
320122
4Markus Niemelainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan Shaw60122
2John Hayden40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus Niemelainen60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Logan Shaw40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus Niemelainen60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Markus Niemelainen60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Logan Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus Niemelainen60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Logan ShawMarkus Niemelainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Logan ShawMarkus Niemelainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Kyle Clifford, Trevor Lewis, Kyle CliffordTrevor Lewis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Logan Shaw, , John Hayden
Gardien
#1 : , #2 : Jakub Skarek


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 billets5030
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 945,000$ 945,000$ 900,000$0$
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
1Chase De Leo315105138243125214660888811.82%67508716.15193150134000725551.06%10.9649
2Griffin Reinhart27034140174-221113253223808.95%337560320.751639551960115510%00.6200
3Oskar Lindblom1336096156-6229927954411.03%30299122.5010263677202156147.55%21.0413
4Gustav Olofsson24627129156-311242652873088.77%330537421.851430441520225330%00.5800
5Justin Bailey2346092152253013825557110.51%37351315.01212146000057547.96%10.8715

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
1David Rittich1879966100.8893.601027610961755510620.81822
2Jack Lafontaine1397052120.8983.36781623543842840650.78919
3Edward Pasquale46231520.8933.41235620134125800200
4Connor Ingram3420750.9103.011916009610690200.7508
5Jean-Francois Berube57171830.8773.9024942016213150420.58817

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
2082343108621306308-2412312021211631461741111906500143162-199530654485020113998412257183686284640256971262817232926522.26%2686775.00%21486285052.14%1422271952.30%746140753.02%2008138418775991074542
2182303702625289317-2841181501412146145141122201213143172-29792895238124097989012265383889689559271484363117672715219.19%2706675.56%11443278051.91%1458281751.76%763142153.69%1915131319786131069527
228238300841128226220412112061011571292841171802310125133-8992825228043597829410260983887986041271276160518002526425.40%2544781.50%01491279153.42%1499288651.94%685131352.17%1947132819396171071537
238248200382132026456412690222016712245412211016011531421111532056988911120111847278491791992042266577761917772726724.63%2574980.93%41473286951.34%1530296551.60%745141552.65%1944133519506211067530
2482304304320307341-3441151903220164167-341152401100143174-317530755486102127100747282399591989421283183069419322505020.00%3037973.93%31435285650.25%1486295550.29%749148550.44%1898128519626161075529
Total Saison régulière410180161025279815041492122051036701410747977098820577940111724707783-76463150427124216108554490426481344044244475441520313491392331778999133729822.29%135230877.22%1073281414651.80%73951434251.56%3688704152.38%971466479708306953582668
Séries éliminatoires
201156000003843-5633000002225-3523000001618-2103868106101313120344981489803169610323932515.63%451077.78%117937647.61%16631652.53%11020952.63%2681812477714474
2216115000006659785300000322938620000034304226612318900261817554418216515542581188130406521732.69%601870.00%028958549.40%31061150.74%14730648.04%407280409125224111
23117400000554312633000002623354100000292091455103158102219140342120119103039311585234391435.90%37975.68%017035048.57%20941650.24%11222150.68%2521712638214370
Total Séries éliminatoires382315000001591451420119000008077318126000007968114615929445320615043512304004323564212903993188791233629.27%1423773.94%1638131148.67%685134351.01%36973650.14%927634921285512256

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
1Chase De Leo38112031221226311010.00%562416.43310131600051043.40%00.9900
2Brendan Smith276182413683363218.75%4659322.00268100000000%00.8100
3Justin Bailey2712921-7824358314.46%451719.17235500012062.22%10.8100
4Derek Ryan11101020123414522.22%625623.324041100003054.41%11.5600
5Gustav Olofsson278122031443274318.60%4460722.49426180000010%00.6600

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
1Jack Lafontaine169410.8963.60984005956500000
2David Rittich117400.8884.10614204237401100
3Jean-Francois Berube22001.0000550001600000
4Connor Ingram10001.0000430001800000