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Comets
GP: 7 | W: 2 | L: 5 | OTL: 0 | P: 4
GF: 19 | GA: 30 | PP%: 28.57% | PK%: 77.78%
DG: Farlou Ferland | Morale : 47 | Moyenne d’équipe : 61
Prochains matchs #113 vs Crunch

Centre de jeu
Comets
2-5-0, 4pts
1
FINAL
4 Firebirds
3-3-1, 7pts
Team Stats
L2SéquenceL1
0-3-0Fiche domicile1-1-1
2-2-0Fiche domicile2-2-0
2-5-0Derniers 10 matchs3-3-1
2.71Buts par match 3.29
4.29Buts contre par match 3.43
28.57%Pourcentage en avantage numérique21.43%
77.78%Pourcentage en désavantage numérique76.19%
Marlies
4-2-0, 8pts
7
FINAL
2 Comets
2-5-0, 4pts
Team Stats
W2SéquenceL2
2-1-0Fiche domicile0-3-0
2-1-0Fiche domicile2-2-0
4-2-0Derniers 10 matchs2-5-0
3.17Buts par match 2.71
2.00Buts contre par match 4.29
36.36%Pourcentage en avantage numérique28.57%
77.78%Pourcentage en désavantage numérique77.78%
Crunch
4-2-1, 9pts
2025-08-27
Comets
2-5-0, 4pts
Statistiques d’équipe
W1SéquenceL2
1-1-1Fiche domicile0-3-0
3-1-0Fiche visiteur2-2-0
4-2-110 derniers matchs2-5-0
3.00Buts par match 2.71
2.71Buts contre par match 2.71
16.67%Pourcentage en avantage numérique28.57%
100.00%Pourcentage en désavantage numérique77.78%
Comets
2-5-0, 4pts
2025-08-28
Rocket
4-3-0, 8pts
Statistiques d’équipe
L2SéquenceL2
0-3-0Fiche domicile1-2-0
2-2-0Fiche visiteur3-1-0
2-5-010 derniers matchs4-3-0
2.71Buts par match 3.00
4.29Buts contre par match 3.00
28.57%Pourcentage en avantage numérique21.74%
77.78%Pourcentage en désavantage numérique76.19%
PenguinsF
6-0-1, 13pts
2025-08-31
Comets
2-5-0, 4pts
Statistiques d’équipe
W2SéquenceL2
3-0-1Fiche domicile0-3-0
3-0-0Fiche visiteur2-2-0
6-0-110 derniers matchs2-5-0
4.29Buts par match 2.71
2.86Buts contre par match 2.71
43.75%Pourcentage en avantage numérique28.57%
90.00%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Buts
Mikhail Vorobyev
3
Passes
Pierre-Olivier Joseph
6
Points
Pierre-Olivier Joseph
7
Plus/Moins
Alexandre Picard
2
Victoires
Devin Cooley
1
Pourcentage d’arrêts
Isaac Poulter
0.886

Statistiques d’équipe
Buts pour
19
2.71 GFG
Tirs pour
191
27.29 Avg
Pourcentage en avantage numérique
28.6%
4 GF
Début de zone offensive
41.7%
Buts contre
30
4.29 GAA
Tirs contre
210
30.00 Avg
Pourcentage en désavantage numérique
77.8%%
4 GA
Début de la zone défensive
37.0%
Informations de l'équipe

Directeur généralFarlou Ferland
EntraîneurBob Woods
DivisionDivision Atlantique
ConférenceConference 1
Capitaine
Assistant #1Sami Niku
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,872
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 56
Espoirs40


Historique d'équipe

Saison actuelle2-5-0 (4PTS)
Historique62-91-10 (0.380%)
Apparitions en séries éliminatoires 0
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
1Mikhail VorobyevX100.0059459075737790667966676768685257496402831,200,000$
2Andrej NestrasilX100.0057439870747571707067677063605038476403421,000,000$
3Connor HurleyX100.0072496972687170707471667061605150486303011,000,000$
4Samuel PoulinXX100.006245927473747467696967616551456649630241750,000$
5Max MccormickXX100.006445877169737266666465666161474348620331900,000$
6Jordan WealX100.005644967067687567726665686364514249620332900,000$
7Vladimir KuznetsovXX100.006345907269676764695961716051495642610273800,000$
8Dryden HuntXX100.006943956873626364666754695560545342610292800,000$
9Bryce MisleyX100.006245867270686866716559655445455949600262750,000$
10Alexandre PicardXX100.005745976671716565616264666356461648600391900,000$
11Cameron MorrisonXX100.006445877273677063656160676048455646600271750,000$
12Joel MustonenXX100.005644967169677067596363656153453446600322650,000$
13Grant HuttonX100.0067468872748376734569747264595154456603011,500,000$
14Pierre-Olivier JosephX100.006745907370768472457366716063456649660262900,000$
15Jacob Bernard-Docker (R)X100.006650887370707874457167736760457049650253900,000$
16Vladislav Kolyachonok (R)X100.006645897770707672457167726750457049650243900,000$
17Steven KampferX100.0061459769696867664566636963634930386303611,200,000$
18Sami Niku (A)X100.0060469072667078664567647060704953486302821,200,000$
Rayé
1Olivier ArchambaultXX100.005342977168697366596163656162513443600322650,000$
2Erik ThorellXX100.005745987069676466596362666045453040590332650,000$
3Brandon HickeyX100.006245857271676067456158705655485243610293800,000$
4Keaton ThompsonX100.006245777269656558456055645147465052580302500,000$
MOYENNE D’ÉQUIPE100.00624590727070726759666468615748494662
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
1Isaac Poulter (R)100.00606060766060606060606045507037510243500,000$
2Devin Cooley (R)100.00606060816060606060606046515041510283500,000$
Rayé
1Nikita Tolopilo (R)100.00606060856060606060606045506238510253500,000$
MOYENNE D’ÉQUIPE100.0060606081606060606060604550613951
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods78665881999961CAN553100,000$


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
1Pierre-Olivier JosephComets (NJ )D71670406771414.29%1215922.7200041100008000%000000.8800000010
2Grant HuttonComets (NJ )D6156-1008515276.67%814123.5001136000010000%000000.8500000100
3Connor HurleyComets (NJ )C7325-1401415175717.65%111817.00011211000091055.56%12600000.8400000100
4Mikhail VorobyevComets (NJ )C6325-320212174517.65%110818.1410128000051051.18%12700000.9200000001
5Samuel PoulinComets (NJ )LW/RW6123-12044621016.67%09215.4701107000050070.00%1000000.6500000000
6Vladislav KolyachonokComets (NJ )D7123-74011680512.50%613719.6610147000012010%000000.4400000010
7Vladimir KuznetsovComets (NJ )LW/RW6213-40022133815.38%09115.2710136000000066.67%300000.6500000010
8Jordan WealComets (NJ )C7213-140310114918.18%312417.72000040000110045.93%13500000.4800000001
9Sami NikuComets (NJ )D6033-220335140%1011519.180110400006000%000000.5200000000
10Jacob Bernard-DockerComets (NJ )D7202-5403761633.33%1113819.73000011000013000%000000.2900000000
11Ty SmithDevilsD4112-6003353420.00%57218.181012100002000%000000.5500000000
12Cameron MorrisonComets (NJ )LW/RW7022040848360%07911.3500000000030033.33%4200000.5000000000
13Andrej NestrasilComets (NJ )C6112-4206520455.00%110918.2200004000040062.50%2400000.3700000000
14Olivier ArchambaultComets (NJ )LW/RW4112-3001072314.29%15814.7400000000000050.00%400000.6800000000
15Bryce MisleyComets (NJ )C7011-400655150%0547.7601100000060045.65%4600000.3700000000
16Max MccormickComets (NJ )LW/RW7011-5407715470%212317.57011010000040050.00%1200000.1600000000
17Alexandre PicardComets (NJ )LW/RW5011200112130%16212.4800000000050020.00%500000.3200000000
18Steven KampferComets (NJ )D4011-200122120%45413.660110300002000%000000.3700000000
19Dryden HuntComets (NJ )LW/RW6011-3006292100%09415.6700015000000050.00%1400000.2100000000
20Mitchell StephensDevilsC1011-100100110%01919.420110400000000%100001.0300000000
21Keaton ThompsonComets (NJ )D1011120200000%01818.480000000000000%000001.0800000000
22Erik ThorellComets (NJ )LW/RW1000000000000%111.680000000000000%00000000000000
23Joel MustonenComets (NJ )LW/RW7000-4002511260%07310.5300000000000033.33%60000000000000
24Nicholas MerkleyDevilsLW/RW1000-100012010%01919.42000140000000100.00%20000000000000
Statistiques d’équipe totales ou en moyenne126193655-55380100106191471189.95%67206816.4248122211800001152149.55%55700000.5300000232
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
1Isaac PoulterComets (NJ )31200.8863.55152009790000034000
2Devin CooleyComets (NJ )51300.8404.7426600211310000043000
Statistiques d’équipe totales ou en moyenne82500.8574.304190030210000077000


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 Plafond 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
Alexandre PicardComets (NJ )LW/RW391985-10-09CANNo206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Andrej NestrasilComets (NJ )C341991-02-22CZENo211 Lbs6 ft2NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Brandon HickeyComets (NJ )D291996-04-13CANNo200 Lbs6 ft2NoNoN/ANoNo32025-05-28FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Bryce MisleyComets (NJ )C261999-09-05CANNo185 Lbs6 ft1NoNoTrade2024-06-25NoNo22024-06-03FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Cameron MorrisonComets (NJ )LW/RW271998-08-27CANNo210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Connor HurleyComets (NJ )C301995-09-15CANNo178 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Devin CooleyComets (NJ )G281997-05-25USAYes192 Lbs6 ft5NoNoTrade2025-08-29NoNo32025-08-28FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Dryden HuntComets (NJ )LW/RW291995-11-24CANNo197 Lbs6 ft0NoNoTrade2024-06-25NoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Erik ThorellComets (NJ )LW/RW331992-03-03SWENo178 Lbs5 ft10NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Grant HuttonComets (NJ )D301995-07-25USANo205 Lbs6 ft3NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Isaac PoulterComets (NJ )G242001-09-12CANYes174 Lbs6 ft2NoNoTrade2025-08-29NoNo32025-08-28FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Jacob Bernard-DockerComets (NJ )D252000-06-30CANYes198 Lbs6 ft1NoNoProspectNoNo32025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Joel MustonenComets (NJ )LW/RW321992-09-17FINNo181 Lbs5 ft10NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Jordan WealComets (NJ )C331992-04-15CANNo178 Lbs5 ft9NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Keaton ThompsonComets (NJ )D301995-09-14USANo194 Lbs6 ft0NoNoN/ANoNo22024-04-29FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Max MccormickComets (NJ )LW/RW331992-05-01USANo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Mikhail VorobyevComets (NJ )C281997-01-05RUSNo194 Lbs6 ft3NoNoN/ANoNo32025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Nikita TolopiloComets (NJ )G252000-04-06RUSYes229 Lbs6 ft6NoNoTrade2025-08-29NoNo32025-08-28FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Olivier ArchambaultComets (NJ )LW/RW321993-02-16CANNo176 Lbs5 ft10NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Pierre-Olivier JosephComets (NJ )D261999-07-01CANNo185 Lbs6 ft2NoNoProspectNoNo22024-06-19FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Sami NikuComets (NJ )D281996-10-10FINNo174 Lbs5 ft9NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Samuel PoulinComets (NJ )LW/RW242001-02-25CANNo208 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Steven KampferComets (NJ )D361988-09-24USANo198 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Vladimir KuznetsovComets (NJ )LW/RW271998-02-18RUSNo189 Lbs6 ft2NoNoTrade2024-06-25NoNo32025-05-28FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Vladislav KolyachonokComets (NJ )D242001-05-26BLRYes195 Lbs6 ft2NoNoProspectNoNo32025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2529.28193 Lbs6 ft12.04844,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel PoulinMikhail VorobyevMax Mccormick25122
2Vladimir KuznetsovConnor HurleyDryden Hunt25122
3Cameron MorrisonJordan WealAlexandre Picard25122
4Joel MustonenBryce MisleyAndrej Nestrasil25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephGrant Hutton35122
2Jacob Bernard-DockerVladislav Kolyachonok33122
3Sami NikuSteven Kampfer32122
4Pierre-Olivier JosephGrant Hutton0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel PoulinMikhail VorobyevMax Mccormick50122
2Vladimir KuznetsovConnor HurleyDryden Hunt50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephGrant Hutton50122
2Jacob Bernard-DockerVladislav Kolyachonok50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan WealAlexandre Picard50122
2Bryce MisleyCameron Morrison50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokJacob Bernard-Docker50122
2Steven KampferSami Niku50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Weal50122Jacob Bernard-DockerVladislav Kolyachonok50122
2Bryce Misley50122Steven KampferSami Niku50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mikhail VorobyevSamuel Poulin50122
2Connor HurleyMax Mccormick50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephGrant Hutton50122
2Jacob Bernard-DockerVladislav Kolyachonok50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel PoulinMikhail VorobyevMax MccormickPierre-Olivier JosephGrant Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel PoulinJordan WealMax MccormickJacob Bernard-DockerVladislav Kolyachonok
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Weal, Cameron Morrison, Alexandre PicardJordan Weal, Cameron MorrisonAlexandre Picard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sami Niku, Jacob Bernard-Docker, Pierre-Olivier JosephSami NikuJacob Bernard-Docker, Pierre-Olivier Joseph
Tirs de pénalité
Mikhail Vorobyev, Samuel Poulin, Connor Hurley, Max Mccormick, Jordan Weal
Gardien
#1 : Isaac Poulter, #2 : Devin Cooley


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
1Bears11000000541000000000001100000054121.00059140056803265636303484125240.00%20100.00%011523249.57%10220649.51%5911949.58%160109169499044
2BruinsF1010000046-2000000000001010000046-200.000471100568038656363029106173133.33%30100.00%011523249.57%10220649.51%5911949.58%160109169499044
3Crunch11000000413000000000001100000041321.00048120056802165636302712414000%20100.00%011523249.57%10220649.51%5911949.58%160109169499044
4Firebirds1010000014-3000000000001010000014-300.0001230056802565636303314818200.00%3166.67%011523249.57%10220649.51%5911949.58%160109169499044
5Marlies1010000027-51010000027-50000000000000.000246005680236563630326612100.00%330.00%011523249.57%10220649.51%5911949.58%160109169499044
6Rocket2020000038-52020000038-50000000000000.000369005680526563630551710273133.33%50100.00%011523249.57%10220649.51%5911949.58%160109169499044
Total725000001930-1130300000515-10422000001415-140.2861936550056801916563630210673810014428.57%18477.78%011523249.57%10220649.51%5911949.58%160109169499044
_Since Last GM Reset725000001930-1130300000515-10422000001415-140.2861936550056801916563630210673810014428.57%18477.78%011523249.57%10220649.51%5911949.58%160109169499044
_Vs Conference725000001930-1130300000515-10422000001415-140.2861936550056801916563630210673810014428.57%18477.78%011523249.57%10220649.51%5911949.58%160109169499044
_Vs Division501000001322-930000000515-102010000087100.00013253800568013465636301434526707228.57%13376.92%011523249.57%10220649.51%5911949.58%160109169499044

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
74L2193655191210673810000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
72500001930
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000515
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42200001415
Derniers 10 matchs
WLOTWOTL SOWSOL
250000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14428.57%18477.78%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
65636305680
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
11523249.57%10220649.51%5911949.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
160109169499044


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
1 - 2025-08-126Comets5Bears4WSommaire du match
3 - 2025-08-1421Rocket3Comets2LSommaire du match
5 - 2025-08-1630Comets4BruinsF6LSommaire du match
7 - 2025-08-1848Rocket5Comets1LSommaire du match
8 - 2025-08-1956Comets4Crunch1WSommaire du match
11 - 2025-08-2278Comets1Firebirds4LSommaire du match
13 - 2025-08-2491Marlies7Comets2LSommaire du match
16 - 2025-08-27113Crunch-Comets-
17 - 2025-08-28123Comets-Rocket-
20 - 2025-08-31145PenguinsF-Comets-
22 - 2025-09-02159Comets-PenguinsF-
24 - 2025-09-04175Comets-Bears-
26 - 2025-09-06188Americans-Comets-
29 - 2025-09-09209Wolf Pack-Comets-
31 - 2025-09-11219Comets-BruinsF-
32 - 2025-09-12233Comets-Islanders-
34 - 2025-09-14250Bears-Comets-
36 - 2025-09-16265Comets-Islanders-
39 - 2025-09-19282Checkers-Comets-
41 - 2025-09-21301Comets-Reign-
42 - 2025-09-22314Americans-Comets-
45 - 2025-09-25331Comets-Rocket-
47 - 2025-09-27347Firebirds-Comets-
48 - 2025-09-28360Comets-Firebirds-
50 - 2025-09-30378StarsF-Comets-
53 - 2025-10-03394Comets-PenguinsF-
55 - 2025-10-05408PenguinsF-Comets-
57 - 2025-10-07422Comets-SenatorsF-
59 - 2025-10-09439SenatorsF-Comets-
62 - 2025-10-12460Comets-Bears-
64 - 2025-10-14472Comets-Eagles-
65 - 2025-10-15480SenatorsF-Comets-
68 - 2025-10-18502Comets-SenatorsF-
69 - 2025-10-19511Rocket-Comets-
72 - 2025-10-22535Condors-Comets-
74 - 2025-10-24552Comets-Silver Knights-
76 - 2025-10-26570Wolf Pack-Comets-
78 - 2025-10-28581Comets-Phantoms-
81 - 2025-10-31602Iowa Wild-Comets-
83 - 2025-11-02619Comets-Wolf Pack-
85 - 2025-11-04630Iowa Wild-Comets-
87 - 2025-11-06648Comets-Griffins-
89 - 2025-11-08662Comets-Monsters-
90 - 2025-11-09670Canucks-Comets-
93 - 2025-11-12694Comets-Wolf Pack-
94 - 2025-11-13702Icehogs-Comets-
97 - 2025-11-16726Roadrunners-Comets-
99 - 2025-11-18735Comets-Checkers-
101 - 2025-11-20752Comets-Wranglers-
103 - 2025-11-22765Bears-Comets-
105 - 2025-11-24785Comets-BruinsF-
107 - 2025-11-26797BruinsF-Comets-
111 - 2025-11-30826Crunch-Comets-
113 - 2025-12-02841Comets-Thunderbirds-
115 - 2025-12-04855Crunch-Comets-
117 - 2025-12-06871Comets-Crunch-
119 - 2025-12-08886BruinsF-Comets-
121 - 2025-12-10901Comets-Phantoms-
122 - 2025-12-11910Comets-Marlies-
124 - 2025-12-13926Firebirds-Comets-
128 - 2025-12-17950Comets-Checkers-
129 - 2025-12-18957Phantoms-Comets-
133 - 2025-12-22984Moose-Comets-
136 - 2025-12-251003Comets-Crunch-
137 - 2025-12-261018Moose-Comets-
140 - 2025-12-291041Marlies-Comets-
142 - 2025-12-311049Comets-Marlies-
144 - 2026-01-021066Comets-Americans-
147 - 2026-01-051080Comets-Wolves-
148 - 2026-01-061084Barracuda-Comets-
151 - 2026-01-091105Comets-Americans-
152 - 2026-01-101113Comets-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-01-121123Islanders-Comets-
158 - 2026-01-161151Islanders-Comets-
160 - 2026-01-181164Comets-Moose-
162 - 2026-01-201181Wolves-Comets-
164 - 2026-01-221197Comets-Moose-
166 - 2026-01-241212Gulls-Comets-
169 - 2026-01-271232Comets-Wolves-
171 - 2026-01-291246Wolves-Comets-
176 - 2026-02-031273Phantoms-Comets-
182 - 2026-02-091300Checkers-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance5,6282,988
Assistance PCT93.80%99.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2872 - 95.73% 120,094$360,282$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
176,595$ 2,110,000$ 2,110,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 168,484$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,563,572$ 170 11,946$ 2,030,820$




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
1Grant Hutton1633480114-5914421117128711.85%240381723.421618341200111120%00.6001
2Drake Caggiula157365692-20431321993639.92%28287318.30922317110188249.54%00.6417
3Andrej Sustr153255277-275410914319312.95%186329321.53917261081122000%00.4701
4Alex Biega143165167-13931869614610.96%153273719.146915640221300%00.4900
5Mikhail Vorobyev159273966-4224852492899.34%25250815.77312153810165352.85%00.5314

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
1Patrik Bartosak80283670.8903.3042988023621370210.77322
2Lukas Dostal52192450.8983.10286510214814560300.7508
3Eddie Lack49132660.8773.9827322018114750420.6676
4Isaac Poulter31200.8863.551520097900000
5Devin Cooley51300.8404.74266002113100000

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
1582324001423230260-3041172100201103117-1441151901222127143-1677230416646028572706219673573771533248469852512842665821.80%2264580.09%41351265050.98%1394279649.86%625132847.06%1928131819566141069533
1682214603813234314-8041122003411122149-274192600402112165-5361234417651308678665228777272776240258775258912362555320.78%2385377.73%21354270150.13%1465283851.62%691138649.86%1899128719696231091540
17725000001930-1130300000515-10422000001415-141936550056801916563630210673810014428.57%18477.78%011523249.57%10220649.51%5911949.58%160109169499044
Total Saison régulière1715591041236483604-12185294403612230281-5186264701624253323-7014248386913523217615614411467415721527154073528115171152262053511521.50%48210278.84%62820558350.51%2961584050.70%1375283348.54%398827154096128722501118
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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

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