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Comets
GP: 36 | W: 11 | L: 21 | OTL: 4 | P: 26
GF: 107 | GA: 147 | PP%: 23.68% | PK%: 72.64%
DG: Farlou Ferland | Morale : 34 | Moyenne d’équipe : 63
Prochains matchs #584 vs Roadrunners
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Centre de jeu
Comets
11-21-4, 26pts
1
FINAL
3 SenatorsF
20-13-1, 41pts
Team Stats
L7SéquenceW3
6-10-2Fiche domicile14-3-1
5-11-2Fiche domicile6-10-0
2-7-1Derniers 10 matchs4-6-0
2.97Buts par match 3.79
4.08Buts contre par match 3.35
23.68%Pourcentage en avantage numérique21.82%
72.64%Pourcentage en désavantage numérique72.00%
Moose
19-16-2, 40pts
5
FINAL
2 Comets
11-21-4, 26pts
Team Stats
W1SéquenceL7
10-6-1Fiche domicile6-10-2
9-10-1Fiche domicile5-11-2
4-5-1Derniers 10 matchs2-7-1
3.38Buts par match 2.97
3.24Buts contre par match 4.08
18.52%Pourcentage en avantage numérique23.68%
77.44%Pourcentage en désavantage numérique72.64%
Comets
11-21-4, 26pts
2024-11-23
Roadrunners
17-13-5, 39pts
Statistiques d’équipe
L7SéquenceW1
6-10-2Fiche domicile10-6-2
5-11-2Fiche visiteur7-7-3
2-7-110 derniers matchs5-4-1
2.97Buts par match 3.51
4.08Buts contre par match 3.51
23.68%Pourcentage en avantage numérique23.08%
72.64%Pourcentage en désavantage numérique78.21%
Americans
19-15-3, 41pts
2024-11-24
Comets
11-21-4, 26pts
Statistiques d’équipe
W1SéquenceL7
12-3-2Fiche domicile6-10-2
7-12-1Fiche visiteur5-11-2
7-3-010 derniers matchs2-7-1
3.54Buts par match 2.97
3.30Buts contre par match 2.97
18.18%Pourcentage en avantage numérique23.68%
73.74%Pourcentage en désavantage numérique72.64%
Marlies
17-14-5, 39pts
2024-11-27
Comets
11-21-4, 26pts
Statistiques d’équipe
L1SéquenceL7
9-5-3Fiche domicile6-10-2
8-9-2Fiche visiteur5-11-2
6-4-010 derniers matchs2-7-1
3.53Buts par match 2.97
3.61Buts contre par match 2.97
17.14%Pourcentage en avantage numérique23.68%
84.92%Pourcentage en désavantage numérique72.64%
Meneurs d'équipe
Buts
Paul Cotter
15
Passes
Pierre-Olivier Joseph
23
Points
Grant Hutton
27
Plus/Moins
Bryce Misley
0
Victoires
Eddie Lack
6
Pourcentage d’arrêts
Patrik Bartosak
0.886

Statistiques d’équipe
Buts pour
107
2.97 GFG
Tirs pour
1030
28.61 Avg
Pourcentage en avantage numérique
23.7%
27 GF
Début de zone offensive
39.2%
Buts contre
147
4.08 GAA
Tirs contre
1166
32.39 Avg
Pourcentage en désavantage numérique
72.6%%
29 GA
Début de la zone défensive
40.8%
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
Assistance2,523
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs38


Historique d'équipe

Saison actuelle11-21-4 (26PTS)
Historique46-61-6 (0.407%)
Apparitions en séries éliminatoires 1
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
1Paul Cotter (R)XX100.007645848072749071747370716860457043670251900,000$
2Drake CaggiulaXX100.0068458970687889676670727178705852436603011,300,000$
3Nicholas MerkleyXX100.0067528973697880726674677064575264406602711,500,000$
4Mikhail VorobyevX100.0060458975737591677767686766655161436502711,200,000$
5Scott KosmachukXX100.008067817069687370596970726861525336640301900,000$
6Cory ConacherXX100.0061449170677477696669666966676038436403411,250,000$
7Connor HurleyX100.0070487072686968707271667162575054446302921,000,000$
8Samuel PoulinXX100.006245917372727268677069636348457043630232750,000$
9Andrej NestrasilX100.0059439870747369706868667164574942436303331,000,000$
10Max MccormickXX100.006345877169737067646564686258474743620322900,000$
11Jordan WealX100.005844957067697368706666706461514643620323900,000$
12Vladimir KuznetsovXX100.006345927269686865676161726050496033610261750,000$
13Grant HuttonX100.0067478972748174734568727465564958396702911,700,000$
14Andrej SustrX98.00604794697570857345716971656956424366N0331900,000$
15Pierre-Olivier Joseph (R)X100.006745897269748271457266726060457033650253900,000$
16Ty SmithX100.006744887369716868456568735446467030640242750,000$
17Sami Niku (A)X100.0061478972667076674567657260674857436402831,200,000$
18Niklas HanssonX100.006245837171687265456568686060545116630291900,000$
Rayé
1Mitchell StephensX100.0063459272717574727569727562665157416602711,500,000$
2Bryce Misley (R)X100.006445857270707067706660665445456019610253750,000$
3Alexandre PicardXX100.005945976772736766626465646355462019610392900,000$
4Taylor CammarataXX100.006345807565667162646463626060515319610291800,000$
5Dryden HuntXX100.007143936873626563666556675560545719610283800,000$
6Ryan FitzgeraldXX100.006444817367656762666260625851485220590301500,000$
7Alex BiegaX92.3874459670687369694564657260695230376503611,300,000$
8Steven KampferX100.0062459670706869684568656963634934236303621,200,000$
9Brandon HickeyX100.006045877271676268456360685655485620620281800,000$
10Matt MurphyX100.006245877069655964456161626246455620590291800,000$
11Keaton ThompsonX100.006345787269666658456055655147465420580293500,000$
MOYENNE D’ÉQUIPE99.66654688727071736859676569625850533363
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
1Patrik Bartosak100.007072707676828180808283575947466403111,000,000$
2Eddie Lack95.00747372797674787676777445513431610361900,000$
Rayé
MOYENNE D’ÉQUIPE97.5072737178767880787880795155413963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods80655779999964CAN544100,000$


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
1Grant HuttonComets (NJ )D36111627-11495483358183818.97%6482722.9882102791000070100%000000.6500000102
2Paul CotterComets (NJ )LW/RW34151126-12200523494285315.96%359117.4142619860000111054.93%7100000.8800000131
3Pierre-Olivier JosephComets (NJ )D3622325-141803535467234.35%4472520.1628102292000173000%000000.6900000010
4Drake CaggiulaComets (NJ )LW/RW3661319-138022309619586.25%964117.8206622960003771052.13%9400000.5901000002
5Andrej NestrasilComets (NJ )C3610717-66096064195815.63%955815.510221260000232048.25%68600000.6100000201
6Ty SmithComets (NJ )D3321315-1518035222310158.70%4057617.47101718000025010%000000.5200000002
7Scott KosmachukComets (NJ )LW/RW2451015-2195271740143912.50%530912.9125710520001190150.00%3000000.9700001110
8Andrej SustrComets (NJ )D3631215-118026344324266.98%4183923.311452691000080000%000000.3600000020
9Mitchell StephensComets (NJ )C317815-700134168185810.29%146414.9733613720002390052.25%60100000.6501000100
10Sami NikuComets (NJ )D3611415-1212026182113174.76%3261317.0300018000029000%000000.4900000110
11Cory ConacherComets (NJ )LW/RW367714-840222559214911.86%250213.96112638000001051.35%3700000.5600000100
12Alex BiegaComets (NJ )D285813-8160331939121712.82%3456020.012462375000154100%000000.4600000102
13Nicholas MerkleyComets (NJ )LW/RW276713-720212755134010.91%547317.5321314550000201047.46%5900000.5500000012
14Connor HurleyComets (NJ )C3621012-635562456017493.33%653314.830222110001590049.12%57000000.4500001000
15Samuel PoulinComets (NJ )LW/RW366612-98027237619357.89%355715.49000020000232048.57%3500000.4311000000
16Mikhail VorobyevComets (NJ )C354812-150016476422386.25%453315.240449670001570052.18%57300000.4511000011
17Max MccormickComets (NJ )LW/RW365510-1712038265114299.80%548413.4700010000000062.16%3700000.4100000010
18Jordan WealComets (NJ )C364610-9407303752410.81%340811.35134657000000053.87%29700000.4900000000
19Alexandre PicardComets (NJ )LW/RW12213-120121571213.33%312410.4100000000000050.00%600000.4800000000
20Niklas HanssonComets (NJ )D6202-40034204100.00%79816.430000000003000%000000.4100000000
21Steven KampferComets (NJ )D5011000316000%58517.190000000002000%000000.2300000000
22Vladimir KuznetsovComets (NJ )LW/RW12101-44010313367.69%414912.4300000000000050.00%600000.1300000000
Statistiques d’équipe totales ou en moyenne643106186292-19124515536576103030368810.29%3291066016.582747742099480001067310250.93%310200000.552400291113
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
1Eddie LackComets (NJ )2561320.8684.3213462097736021002412200
2Patrik BartosakComets (NJ )165820.8863.5682500494290100.75041224010
Statistiques d’équipe totales ou en moyenne41112140.8754.04217120146116503143636210


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 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
Alex Biega (sur la masse salariale)Comets (NJ )D361988-04-04No195 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,300,000$0$0$Yes------------------Lien
Alexandre PicardComets (NJ )LW/RW391985-10-09No206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Andrej NestrasilComets (NJ )C331991-02-22No211 Lbs6 ft2NoNoFree AgentNoNo32024-07-22Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Andrej SustrComets (NJ )D331990-11-29No217 Lbs6 ft7YesNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Brandon HickeyComets (NJ )D281996-04-13No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Bryce MisleyComets (NJ )C251999-09-05Yes185 Lbs6 ft1NoNoTrade2024-06-25NoNo32024-06-03Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Connor HurleyComets (NJ )C291995-09-15No178 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Cory ConacherComets (NJ )LW/RW341989-12-14No185 Lbs5 ft8NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------Lien
Drake CaggiulaComets (NJ )LW/RW301994-06-20No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Dryden HuntComets (NJ )LW/RW281995-11-24No197 Lbs6 ft0NoNoTrade2024-06-25NoNo32024-04-29Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------Lien
Eddie Lack (sur la masse salariale)Comets (NJ )G361988-01-05No187 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Grant HuttonComets (NJ )D291995-07-25No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Jordan WealComets (NJ )C321992-04-15No178 Lbs5 ft9NoNoFree AgentNoNo32024-07-22Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Keaton ThompsonComets (NJ )D291995-09-14No194 Lbs6 ft0NoNoN/ANoNo32024-04-29Pro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien
Matt MurphyComets (NJ )D291995-05-01No190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Max MccormickComets (NJ )LW/RW321992-05-01No188 Lbs5 ft11NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Mikhail VorobyevComets (NJ )C271997-01-05No194 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Mitchell StephensComets (NJ )C271997-02-05No190 Lbs6 ft3NoNoN/ANoNo12024-04-29Pro & Farm1,500,000$0$0$No------------------Lien
Nicholas MerkleyComets (NJ )LW/RW271997-05-23No179 Lbs5 ft10NoNoN/ANoNo12024-04-29Pro & Farm1,500,000$0$0$No------------------Lien
Niklas HanssonComets (NJ )D291995-01-08No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Patrik BartosakComets (NJ )G311993-03-29No193 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Paul CotterComets (NJ )LW/RW251999-11-16Yes213 Lbs6 ft2NoNoFree AgentNoNo12024-06-18Pro & Farm900,000$0$0$No------------------Lien
Pierre-Olivier JosephComets (NJ )D251999-07-01 09:52:16Yes185 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-06-19Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Ryan FitzgeraldComets (NJ )LW/RW301994-10-19No172 Lbs5 ft9NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Sami NikuComets (NJ )D281996-10-10No174 Lbs5 ft9NoNoN/ANoNo32024-04-29Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Samuel PoulinComets (NJ )LW/RW232001-02-25No208 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Scott KosmachukComets (NJ )LW/RW301994-01-24No185 Lbs5 ft10NoNoFree AgentNoNo12024-07-07Pro & Farm900,000$0$0$No------------------Lien
Steven KampferComets (NJ )D361988-09-24No198 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Taylor CammarataComets (NJ )LW/RW291995-05-13No160 Lbs5 ft7NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Ty SmithComets (NJ )D242000-03-24No180 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Vladimir KuznetsovComets (NJ )LW/RW261998-02-18No189 Lbs6 ft2NoNoTrade2024-06-25NoNo1Pro & Farm750,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3129.65191 Lbs6 ft01.65982,258$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul CotterMikhail VorobyevNicholas Merkley25122
2Drake CaggiulaAndrej NestrasilScott Kosmachuk25122
3Cory ConacherConnor HurleySamuel Poulin25122
4Max MccormickJordan WealVladimir Kuznetsov25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonAndrej Sustr25122
2Pierre-Olivier JosephTy Smith25122
3Sami NikuNiklas Hansson25122
4Grant HuttonAndrej Sustr25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul CotterMikhail VorobyevNicholas Merkley50122
2Drake CaggiulaAndrej NestrasilScott Kosmachuk50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonAndrej Sustr50122
2Pierre-Olivier JosephTy Smith50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor HurleySamuel Poulin50122
2Drake CaggiulaMikhail Vorobyev50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonAndrej Sustr50122
2Pierre-Olivier JosephTy Smith50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Weal50122Grant HuttonAndrej Sustr50122
2Connor Hurley50122Pierre-Olivier JosephTy Smith50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor HurleyNicholas Merkley50122
2Drake CaggiulaMikhail Vorobyev50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonAndrej Sustr50122
2Pierre-Olivier JosephTy Smith50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul CotterMikhail VorobyevNicholas MerkleyGrant HuttonAndrej Sustr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul CotterMikhail VorobyevNicholas MerkleyGrant HuttonAndrej Sustr
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cory Conacher, Samuel Poulin, Connor HurleyCory Conacher, Samuel PoulinConnor Hurley
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sami Niku, Niklas Hansson, Pierre-Olivier JosephSami NikuNiklas Hansson, Pierre-Olivier Joseph
Tirs de pénalité
Paul Cotter, Nicholas Merkley, Drake Caggiula, Mikhail Vorobyev, Scott Kosmachuk
Gardien
#1 : Eddie Lack, #2 : Patrik Bartosak


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
1Americans21000100660210001006600000000000030.75069150041392445835835031313622512345240.00%6183.33%0600121149.55%677126253.65%30361849.03%847576850270477239
2Bears30300000918-91010000058-320200000410-600.0009152400413924496358350313131033328439222.22%12741.67%0600121149.55%677126253.65%30361849.03%847576850270477239
3BruinsF20100010660201000106600000000000020.500610160041392446735835031313571623223133.33%6350.00%0600121149.55%677126253.65%30361849.03%847576850270477239
4Checkers1010000025-31010000025-30000000000000.00023500413924425358350313133950203133.33%000%0600121149.55%677126253.65%30361849.03%847576850270477239
5Condors11000000312110000003120000000000021.000358004139244243583503131334136103266.67%30100.00%0600121149.55%677126253.65%30361849.03%847576850270477239
6Crunch21100000990110000004311010000056-120.500915240041392446035835031313641710356233.33%5180.00%0600121149.55%677126253.65%30361849.03%847576850270477239
7Firebirds11000000431000000000001100000043121.00046100041392442735835031313357411100.00%110.00%0600121149.55%677126253.65%30361849.03%847576850270477239
8Griffins1000010034-1000000000001000010034-110.50034700413924429358350313133815811100.00%30100.00%0600121149.55%677126253.65%30361849.03%847576850270477239
9Gulls1010000024-2000000000001010000024-200.000246004139244373583503131339914124250.00%6183.33%0600121149.55%677126253.65%30361849.03%847576850270477239
10Iowa Wild10001000321100010003210000000000021.000358004139244203583503131335101017400.00%40100.00%0600121149.55%677126253.65%30361849.03%847576850270477239
11Islanders20200000410-620200000410-60000000000000.0004812004139244513583503131377156249222.22%3233.33%0600121149.55%677126253.65%30361849.03%847576850270477239
12Marlies2020000049-51010000046-21010000003-300.00046100041392445635835031313642112285240.00%6266.67%0600121149.55%677126253.65%30361849.03%847576850270477239
13Monsters1010000006-6000000000001010000006-600.00000000413924419358350313134817422200.00%2150.00%0600121149.55%677126253.65%30361849.03%847576850270477239
14Moose30300000814-620200000510-51010000034-100.0008162400413924468358350313131103733528337.50%14378.57%0600121149.55%677126253.65%30361849.03%847576850270477239
15PenguinsF21100000121021010000067-11100000063320.5001223350041392446235835031313541710449333.33%5260.00%0600121149.55%677126253.65%30361849.03%847576850270477239
16Phantoms11000000532000000000001100000053221.000591400413924433358350313132642124125.00%110.00%0600121149.55%677126253.65%30361849.03%847576850270477239
17Reign10001000321100010003210000000000021.0003470041392442935835031313233620100.00%3166.67%0600121149.55%677126253.65%30361849.03%847576850270477239
18Rocket20200000611-50000000000020200000611-500.00061016004139244583583503131361168347114.29%3166.67%0600121149.55%677126253.65%30361849.03%847576850270477239
19SenatorsF30200100713-620100100610-41010000013-210.1677142110413924482358350313138821274110330.00%110100.00%0600121149.55%677126253.65%30361849.03%847576850270477239
20Wolf Pack2110000078-1000000000002110000078-120.5007132000413924459358350313135317620800.00%3166.67%0600121149.55%677126253.65%30361849.03%847576850270477239
21Wolves21000100431000000000002100010043130.75047110041392447035835031313561118241200.00%9188.89%0600121149.55%677126253.65%30361849.03%847576850270477239
Total3682102410107147-4018310022105776-1918511002005071-21260.36110718629310413924410303583503131311663292475361142723.68%1062972.64%0600121149.55%677126253.65%30361849.03%847576850270477239
_Since Last GM Reset3682102410107147-4018310022105776-1918511002005071-21260.36110718629310413924410303583503131311663292475361142723.68%1062972.64%0600121149.55%677126253.65%30361849.03%847576850270477239
_Vs Conference307190031093128-3515210002104871-231559001004557-12190.3179316425710413924487235835031313949262199444992323.23%852669.41%0600121149.55%677126253.65%30361849.03%847576850270477239
_Vs Division1544000004363-20903000002836-8641000001527-1280.267437111410413924443535835031313473136100225401230.00%40880.00%0600121149.55%677126253.65%30361849.03%847576850270477239

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3626L71071862931030116632924753610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
368212410107147
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1831022105776
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1851102005071
Derniers 10 matchs
WLOTWOTL SOWSOL
171100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1142723.68%1062972.64%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
358350313134139244
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
600121149.55%677126253.65%30361849.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
847576850270477239


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
2 - 2024-09-049Comets0Marlies3ALSommaire du match
4 - 2024-09-0627PenguinsF7Comets6BLSommaire du match
6 - 2024-09-0840BruinsF2Comets3BWXXSommaire du match
9 - 2024-09-1161Comets3Wolf Pack6ALSommaire du match
11 - 2024-09-1373Americans3Comets2BLXSommaire du match
12 - 2024-09-1482Comets2Rocket6ALSommaire du match
15 - 2024-09-17106Moose5Comets3BLSommaire du match
17 - 2024-09-19124Comets4Rocket5ALSommaire du match
19 - 2024-09-21138Americans3Comets4BWSommaire du match
21 - 2024-09-23148Comets1Wolves2ALXSommaire du match
23 - 2024-09-25167Marlies6Comets4BLSommaire du match
26 - 2024-09-28190Comets6PenguinsF3AWSommaire du match
27 - 2024-09-29202Checkers5Comets2BLSommaire du match
30 - 2024-10-02224SenatorsF5Comets2BLSommaire du match
31 - 2024-10-03229Comets3Bears5ALSommaire du match
36 - 2024-10-08257Comets5Phantoms3AWSommaire du match
38 - 2024-10-10268SenatorsF5Comets4BLXSommaire du match
40 - 2024-10-12286Comets3Moose4ALSommaire du match
42 - 2024-10-14300Condors1Comets3BWSommaire du match
44 - 2024-10-16312Comets2Gulls4ALSommaire du match
46 - 2024-10-18329Comets3Wolves1AWSommaire du match
48 - 2024-10-20340Crunch3Comets4BWSommaire du match
50 - 2024-10-22356Comets0Monsters6ALSommaire du match
52 - 2024-10-24372Iowa Wild2Comets3BWXSommaire du match
55 - 2024-10-27393Comets4Firebirds3AWSommaire du match
56 - 2024-10-28403Bears8Comets5BLSommaire du match
59 - 2024-10-31421Comets3Griffins4ALXSommaire du match
61 - 2024-11-02434Comets4Wolf Pack2AWSommaire du match
62 - 2024-11-03442Reign2Comets3BWXSommaire du match
65 - 2024-11-06460Comets5Crunch6ALSommaire du match
67 - 2024-11-08472Islanders6Comets2BLSommaire du match
71 - 2024-11-12500BruinsF4Comets3BLSommaire du match
73 - 2024-11-14516Comets1Bears5ALSommaire du match
75 - 2024-11-16529Islanders4Comets2BLSommaire du match
78 - 2024-11-19552Comets1SenatorsF3ALSommaire du match
79 - 2024-11-20564Moose5Comets2BLSommaire du match
82 - 2024-11-23584Comets-Roadrunners-
83 - 2024-11-24595Americans-Comets-
86 - 2024-11-27617Marlies-Comets-
88 - 2024-11-29631Comets-Marlies-
89 - 2024-11-30645Comets-Firebirds-
92 - 2024-12-03661Wolves-Comets-
94 - 2024-12-05678Comets-SenatorsF-
96 - 2024-12-07689Comets-Canucks-
97 - 2024-12-08696Eagles-Comets-
100 - 2024-12-11722Wolf Pack-Comets-
102 - 2024-12-13733Comets-Moose-
104 - 2024-12-15751Checkers-Comets-
106 - 2024-12-17761Comets-BruinsF-
108 - 2024-12-19774Comets-PenguinsF-
110 - 2024-12-21788Comets-Phantoms-
111 - 2024-12-22799Wolves-Comets-
114 - 2024-12-25817Comets-BruinsF-
115 - 2024-12-26830Wolf Pack-Comets-
118 - 2024-12-29848Comets-Admirals-
119 - 2024-12-30860StarsF-Comets-
123 - 2025-01-03886Bears-Comets-
125 - 2025-01-05903Comets-Wranglers-
127 - 2025-01-07917Crunch-Comets-
131 - 2025-01-11945Rocket-Comets-
132 - 2025-01-12956Comets-Rocket-
134 - 2025-01-14970Comets-Islanders-
136 - 2025-01-16985Silver Knights-Comets-
139 - 2025-01-191007Comets-Crunch-
140 - 2025-01-201016Barracuda-Comets-
143 - 2025-01-231040Rocket-Comets-
145 - 2025-01-251049Comets-Icehogs-
148 - 2025-01-281076Phantoms-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2025-01-311098Phantoms-Comets-
153 - 2025-02-021117Comets-Marlies-
155 - 2025-02-041130Thunderbirds-Comets-
159 - 2025-02-081148Comets-Islanders-
161 - 2025-02-101164Thunderbirds-Comets-
162 - 2025-02-111174Comets-Rocket-
165 - 2025-02-141195PenguinsF-Comets-
168 - 2025-02-171215Comets-Americans-
171 - 2025-02-201229PenguinsF-Comets-
173 - 2025-02-221238Comets-Checkers-
176 - 2025-02-251261Firebirds-Comets-
180 - 2025-03-011286Firebirds-Comets-
181 - 2025-03-021295Comets-Checkers-
182 - 2025-03-031297Comets-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,94817,459
Assistance PCT77.63%96.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2523 - 84.09% 102,650$1,847,698$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,315,701$ 2,915,000$ 2,985,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,272,986$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,360,947$ 106 16,297$ 1,727,482$




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 Hutton115275380-3710615312921612.50%172272323.68151328910001100%00.5901
2Drake Caggiula118294271-1520991612959.83%22218918.56619255810186149.12%00.6515
3Andrej Sustr108134356-630769612510.40%118225620.8951419741011000%00.5001
4Mitchell Stephens106272653244810921912.33%18150914.24117185200042252.36%00.7013
5Mikhail Vorobyev117193150-3010641802059.27%13178715.28212142200032352.35%00.5614

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 Bartosak55212440.8923.2629058015814570200.78919
2Lukas Dostal52192450.8983.10286510214814560300.7508
3Eddie Lack2561320.8684.321346209773602100

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
163682102410107147-4018310022105776-1918511002005071-212610718629310413924410303583503131311663292475361142723.68%1062972.64%0600121149.55%677126253.65%30361849.03%847576850270477239
Total Saison régulière118406103833337407-7059203102411160193-3359203001422177214-371033376029391212611194103226109310871028463650102777218203808522.37%3327477.71%41951386150.53%2071405851.03%928194647.69%2776189428078841546773
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