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Comets
GP: 42 | W: 11 | L: 27 | OTL: 4 | P: 26
GF: 116 | GA: 165 | PP%: 21.80% | PK%: 71.77%
DG: Farlou Ferland | Morale : 27 | Moyenne d’équipe : 63
Prochains matchs #678 vs SenatorsF
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Centre de jeu
Comets
11-27-4, 26pts
3
FINAL
4 Firebirds
20-17-4, 44pts
Team Stats
L13SéquenceL1
6-13-2Fiche domicile11-7-3
5-14-2Fiche domicile9-10-1
0-10-0Derniers 10 matchs5-5-0
2.76Buts par match 3.37
3.93Buts contre par match 3.59
21.80%Pourcentage en avantage numérique21.60%
71.77%Pourcentage en désavantage numérique74.56%
Wolves
16-18-5, 37pts
2
FINAL
0 Comets
11-27-4, 26pts
Team Stats
W1SéquenceL13
8-10-3Fiche domicile6-13-2
8-8-2Fiche domicile5-14-2
5-5-0Derniers 10 matchs0-10-0
2.62Buts par match 2.76
3.21Buts contre par match 3.93
17.54%Pourcentage en avantage numérique21.80%
80.71%Pourcentage en désavantage numérique71.77%
Comets
11-27-4, 26pts
2024-12-05
SenatorsF
25-14-2, 52pts
Statistiques d’équipe
L13SéquenceL1
6-13-2Fiche domicile17-3-1
5-14-2Fiche visiteur8-11-1
0-10-010 derniers matchs8-1-1
2.76Buts par match 3.78
3.93Buts contre par match 3.78
21.80%Pourcentage en avantage numérique22.14%
71.77%Pourcentage en désavantage numérique73.03%
Comets
11-27-4, 26pts
2024-12-07
Canucks
19-21-2, 40pts
Statistiques d’équipe
L13SéquenceW1
6-13-2Fiche domicile10-10-1
5-14-2Fiche visiteur9-11-1
0-10-010 derniers matchs5-4-1
2.76Buts par match 3.02
3.93Buts contre par match 3.02
21.80%Pourcentage en avantage numérique21.88%
71.77%Pourcentage en désavantage numérique81.08%
Eagles
30-10-1, 61pts
2024-12-08
Comets
11-27-4, 26pts
Statistiques d’équipe
W2SéquenceL13
16-5-0Fiche domicile6-13-2
14-5-1Fiche visiteur5-14-2
9-1-010 derniers matchs0-10-0
3.66Buts par match 2.76
2.51Buts contre par match 2.76
20.86%Pourcentage en avantage numérique21.80%
78.95%Pourcentage en désavantage numérique71.77%
Meneurs d'équipe
Buts
Paul Cotter
16
Passes
Pierre-Olivier Joseph
24
Points
Grant Hutton
30
Plus/Moins
Bryce Misley
0
Victoires
Eddie Lack
6
Pourcentage d’arrêts
Patrik Bartosak
0.885

Statistiques d’équipe
Buts pour
116
2.76 GFG
Tirs pour
1193
28.40 Avg
Pourcentage en avantage numérique
21.8%
29 GF
Début de zone offensive
39.7%
Buts contre
165
3.93 GAA
Tirs contre
1327
31.60 Avg
Pourcentage en désavantage numérique
71.8%%
35 GA
Début de la zone défensive
40.6%
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
Assistance2,514
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs38


Historique d'équipe

Saison actuelle11-27-4 (26PTS)
Historique46-67-6 (0.387%)
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
1Drake CaggiulaXX99.0068458970687889676670727178705852376603011,300,000$
2Nicholas MerkleyXX100.0067528973697880726674677064575264386602711,500,000$
3Mitchell StephensX100.0063459272717574727569727562665157356602711,500,000$
4Mikhail VorobyevX100.0060458975737591677767686766655161376502711,200,000$
5Scott KosmachukXX99.008067817069687370596970726861525331640301900,000$
6Cory ConacherXX100.0061449170677477696669666966676038376403411,250,000$
7Connor HurleyX100.0070487072686968707271667162575054386302921,000,000$
8Samuel PoulinXX100.006245917372727268677069636348457037630232750,000$
9Andrej NestrasilX99.0059439870747369706868667164574942376303331,000,000$
10Max MccormickXX100.006345877169737067646564686258474737620322900,000$
11Jordan WealX100.005844957067697368706666706461514637620323900,000$
12Grant HuttonX100.0067478972748174734568727465564958326702911,700,000$
13Andrej SustrX100.00604794697570857345716971656956423866N0341900,000$
14Alex BiegaX100.0074459670687369694564657260695230326503611,300,000$
15Pierre-Olivier Joseph (R)X100.006745897269748271457266726060457027650253900,000$
16Ty SmithX100.006744887369716868456568735446467025640242750,000$
17Sami Niku (A)X100.0061478972667076674567657260674857376402831,200,000$
Rayé
1Paul Cotter (R)XX94.007645848072749071747370716860457037670251900,000$
2Bryce Misley (R)X100.006445857270707067706660665445456019610253750,000$
3Alexandre PicardXX100.005945976772736766626465646355462019610392900,000$
4Taylor CammarataXX100.006345807565667162646463626060515319610291800,000$
5Vladimir KuznetsovXX100.006345927269686865676161726050496027610261750,000$
6Dryden HuntXX100.007143936873626563666556675560545719610293800,000$
7Ryan FitzgeraldXX100.006444817367656762666260625851485220590301500,000$
8Steven KampferX100.0062459670706869684568656963634934206303621,200,000$
9Niklas HanssonX100.006245837171687265456568686060545115630291900,000$
10Brandon HickeyX100.006045877271676268456360685655485620620281800,000$
11Matt MurphyX100.006245877069655964456161626246455620590291800,000$
12Keaton ThompsonX100.006345787269666658456055655147465420580293500,000$
MOYENNE D’ÉQUIPE99.69654688727071736859676569625850532963
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 Bartosak100.007072707676828180808283575947426403111,000,000$
2Eddie Lack100.00747272797674787676777445513426610361900,000$
Rayé
MOYENNE D’ÉQUIPE100.0072727178767880787880795155413463
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 )D42111930-13535533865214516.92%7696322.93831132108011080100%000000.6200000102
2Paul CotterComets (NJ )LW/RW40161228-142606643108336514.81%571217.82426221020000141051.28%7800000.7900000131
3Pierre-Olivier JosephComets (NJ )D4222426-1424037435811303.45%5184820.20291128109000282000%000000.6100000010
4Drake CaggiulaComets (NJ )LW/RW4271320-14120293310525676.67%1375417.97066251140003891051.33%11300000.5301000002
5Andrej NestrasilComets (NJ )C4210919-760116776267413.16%965815.690334440000232048.41%81600000.5800000201
6Ty SmithComets (NJ )D3931518-16180412630131810.00%5069817.922021035000139010%000000.5200000002
7Andrej SustrComets (NJ )D4241418-1215527405226327.69%4997523.2124632107011091000%000000.3700001020
8Scott KosmachukComets (NJ )LW/RW3051217-323543195216449.62%541013.6726813700001190158.33%3600000.8300001110
9Cory ConacherComets (NJ )LW/RW427815-1240263167255310.45%258914.03112639000001051.22%4100000.5100000100
10Mitchell StephensComets (NJ )C357815-700134168185810.29%146413.2633613720002390052.25%60100000.6501000100
11Sami NikuComets (NJ )D4211415-1514035242314184.35%3971717.07000110000034000%000000.4200000110
12Connor HurleyComets (NJ )C4241014-937570567519575.33%863315.090222111013720049.35%68900000.4400001100
13Nicholas MerkleyComets (NJ )LW/RW337714-975283367214810.45%555416.8021319720000201046.88%6400000.5100100013
14Alex BiegaComets (NJ )D325813-11180352041131912.20%3862419.522462376000156100%000000.4200000102
15Mikhail VorobyevComets (NJ )C415813-174017528124496.17%762715.2904412840002690052.86%68300000.4111000021
16Samuel PoulinComets (NJ )LW/RW426612-1212030258723426.90%465515.61000020000342050.00%4000000.3711000000
17Max MccormickComets (NJ )LW/RW425712-1614043275416349.26%555013.1000010000000062.50%4000000.4400000010
18Jordan WealComets (NJ )C424711-840935437289.30%347311.28134657000000052.66%35700000.4600000000
19Alexandre PicardComets (NJ )LW/RW12213-120121571213.33%312410.4100000000000050.00%600000.4800000000
20Niklas HanssonComets (NJ )D8202-4005440550.00%913216.540000100004000%000000.3000000000
21Vladimir KuznetsovComets (NJ )LW/RW14202-340146163912.50%417412.5000000000000050.00%800000.2300000000
22Steven KampferComets (NJ )D5011000316000%58517.190000000002000%000000.2300000000
Statistiques d’équipe totales ou en moyenne751115203318-2172972563666611933618079.64%3911243016.5529518024911211231577610250.95%357200000.5124103101214
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 )2861620.8724.13152420105821022002715210
2Patrik BartosakComets (NJ )1951120.8853.47100400585040100.75041527010
Statistiques d’équipe totales ou en moyenne47112740.8773.87252820163132503244242220


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
Alex BiegaComets (NJ )D361988-04-04CANNo195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Alexandre PicardComets (NJ )LW/RW391985-10-09CANNo206 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Andrej NestrasilComets (NJ )C331991-02-22CZENo211 Lbs6 ft2NoNoFree AgentNoNo32024-07-22FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Andrej SustrComets (NJ )D341990-11-29CZENo217 Lbs6 ft7YesNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Brandon HickeyComets (NJ )D281996-04-13CANNo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Bryce MisleyComets (NJ )C251999-09-05CANYes185 Lbs6 ft1NoNoTrade2024-06-25NoNo32024-06-03FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Connor HurleyComets (NJ )C291995-09-15CANNo178 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Cory ConacherComets (NJ )LW/RW341989-12-14CANNo185 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Drake CaggiulaComets (NJ )LW/RW301994-06-20CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Dryden HuntComets (NJ )LW/RW291995-11-24CANNo197 Lbs6 ft0NoNoTrade2024-06-25NoNo32024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Eddie LackComets (NJ )G361988-01-05SWENo187 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Grant HuttonComets (NJ )D291995-07-25USANo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Jordan WealComets (NJ )C321992-04-15CANNo178 Lbs5 ft9NoNoFree AgentNoNo32024-07-22FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Keaton ThompsonComets (NJ )D291995-09-14USANo194 Lbs6 ft0NoNoN/ANoNo32024-04-29FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Matt MurphyComets (NJ )D291995-05-01CANNo190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Max MccormickComets (NJ )LW/RW321992-05-01USANo188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Mikhail VorobyevComets (NJ )C271997-01-05RUSNo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Mitchell StephensComets (NJ )C271997-02-05CANNo190 Lbs6 ft3NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Nicholas MerkleyComets (NJ )LW/RW271997-05-23CANNo179 Lbs5 ft10NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Niklas HanssonComets (NJ )D291995-01-08SWENo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Patrik BartosakComets (NJ )G311993-03-29CZENo193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Paul Cotter (sur la masse salariale)Comets (NJ )LW/RW251999-11-16USAYes213 Lbs6 ft2NoNoFree AgentNoNo12024-06-18FalseFalsePro & Farm900,000$0$0$Yes---------------------------Lien
Pierre-Olivier JosephComets (NJ )D251999-07-01CANYes185 Lbs6 ft2NoNoProspectNoNo32024-06-19FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Ryan FitzgeraldComets (NJ )LW/RW301994-10-19USANo172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Sami NikuComets (NJ )D281996-10-10FINNo174 Lbs5 ft9NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Samuel PoulinComets (NJ )LW/RW232001-02-25CANNo208 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Scott KosmachukComets (NJ )LW/RW301994-01-24CANNo185 Lbs5 ft10NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Steven KampferComets (NJ )D361988-09-24USANo198 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Taylor CammarataComets (NJ )LW/RW291995-05-13USANo160 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Ty SmithComets (NJ )D242000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Vladimir KuznetsovComets (NJ )LW/RW261998-02-18RUSNo189 Lbs6 ft2NoNoTrade2024-06-25NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3129.71191 Lbs6 ft01.65982,258$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail VorobyevNicholas Merkley25122
2Drake CaggiulaAndrej NestrasilScott Kosmachuk25122
3Cory ConacherConnor HurleySamuel Poulin25122
4Max MccormickJordan Weal25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonAndrej Sustr25122
2Pierre-Olivier JosephTy Smith25122
3Sami NikuAlex Biega25122
4Grant HuttonAndrej Sustr25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail 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
Mikhail VorobyevNicholas MerkleyGrant HuttonAndrej Sustr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail 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, Grant Hutton, Pierre-Olivier JosephSami NikuAndrej Sustr, Pierre-Olivier Joseph
Tirs de pénalité
, 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
1Americans3110010089-13110010089-10000000000030.500813210044412848341739437313853312477342.86%6183.33%0698141549.33%776144753.63%34669949.50%991673988315556278
2Bears30300000918-91010000058-320200000410-600.0009152400444128496417394373131033328439222.22%12741.67%0698141549.33%776144753.63%34669949.50%991673988315556278
3BruinsF20100010660201000106600000000000020.500610160044412846741739437313571623223133.33%6350.00%0698141549.33%776144753.63%34669949.50%991673988315556278
4Checkers1010000025-31010000025-30000000000000.00023500444128425417394373133950203133.33%000%0698141549.33%776144753.63%34669949.50%991673988315556278
5Condors11000000312110000003120000000000021.000358004441284244173943731334136103266.67%30100.00%0698141549.33%776144753.63%34669949.50%991673988315556278
6Crunch21100000990110000004311010000056-120.500915240044412846041739437313641710356233.33%5180.00%0698141549.33%776144753.63%34669949.50%991673988315556278
7Firebirds21100000770000000000002110000077020.50071219004441284524173943731361146374125.00%2150.00%0698141549.33%776144753.63%34669949.50%991673988315556278
8Griffins1000010034-1000000000001000010034-110.50034700444128429417394373133815811100.00%30100.00%0698141549.33%776144753.63%34669949.50%991673988315556278
9Gulls1010000024-2000000000001010000024-200.000246004441284374173943731339914124250.00%6183.33%0698141549.33%776144753.63%34669949.50%991673988315556278
10Iowa Wild10001000321100010003210000000000021.000358004441284204173943731335101017400.00%40100.00%0698141549.33%776144753.63%34669949.50%991673988315556278
11Islanders20200000410-620200000410-60000000000000.0004812004441284514173943731377156249222.22%3233.33%0698141549.33%776144753.63%34669949.50%991673988315556278
12Marlies40400000615-92020000049-52020000026-400.00069150044412841034173943731311646386210220.00%19668.42%0698141549.33%776144753.63%34669949.50%991673988315556278
13Monsters1010000006-6000000000001010000006-600.00000000444128419417394373134817422200.00%2150.00%0698141549.33%776144753.63%34669949.50%991673988315556278
14Moose30300000814-620200000510-51010000034-100.0008162400444128468417394373131103733528337.50%14378.57%0698141549.33%776144753.63%34669949.50%991673988315556278
15PenguinsF21100000121021010000067-11100000063320.5001223350044412846241739437313541710449333.33%5260.00%0698141549.33%776144753.63%34669949.50%991673988315556278
16Phantoms11000000532000000000001100000053221.000591400444128433417394373132642124125.00%110.00%0698141549.33%776144753.63%34669949.50%991673988315556278
17Reign10001000321100010003210000000000021.0003470044412842941739437313233620100.00%3166.67%0698141549.33%776144753.63%34669949.50%991673988315556278
18Roadrunners1010000023-1000000000001010000023-100.00024600444128428417394373134613815200.00%3166.67%1698141549.33%776144753.63%34669949.50%991673988315556278
19Rocket20200000611-50000000000020200000611-500.00061016004441284584173943731361168347114.29%3166.67%0698141549.33%776144753.63%34669949.50%991673988315556278
20SenatorsF30200100713-620100100610-41010000013-210.1677142110444128482417394373138821274110330.00%110100.00%0698141549.33%776144753.63%34669949.50%991673988315556278
21Wolf Pack2110000078-1000000000002110000078-120.5007132000444128459417394373135317620800.00%3166.67%0698141549.33%776144753.63%34669949.50%991673988315556278
22Wolves3110010045-11010000002-22100010043130.500471110444128410841739437313702034361900.00%10280.00%0698141549.33%776144753.63%34669949.50%991673988315556278
Total4282702410116165-4921313022105984-2521514002005781-24260.31011620331920444128411934173943731313273912996361332921.80%1243571.77%1698141549.33%776144753.63%34669949.50%991673988315556278
_Since Last GM Reset4282702410116165-4921313022105984-2521514002005781-24260.31011620331920444128411934173943731313273912996361332921.80%1243571.77%1698141549.33%776144753.63%34669949.50%991673988315556278
_Vs Conference3572400310100143-4318213002105079-2917511001005064-14190.27110017727720444128410074173943731310643112435291162521.55%1003169.00%0698141549.33%776144753.63%34669949.50%991673988315556278
_Vs Division1845000004772-251103000003042-12742000001730-1380.222477812510444128450741739437313548169126272471327.66%531277.36%0698141549.33%776144753.63%34669949.50%991673988315556278

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4226L131162033191193132739129963620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
428272410116165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2131322105984
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2151402005781
Derniers 10 matchs
WLOTWOTL SOWSOL
0100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1332921.80%1243571.77%1
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
417394373134441284
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
698141549.33%776144753.63%34669949.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
991673988315556278


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 - 2024-09-049Comets0Marlies3LSommaire du match
4 - 2024-09-0627PenguinsF7Comets6LSommaire du match
6 - 2024-09-0840BruinsF2Comets3WXXSommaire du match
9 - 2024-09-1161Comets3Wolf Pack6LSommaire du match
11 - 2024-09-1373Americans3Comets2LXSommaire du match
12 - 2024-09-1482Comets2Rocket6LSommaire du match
15 - 2024-09-17106Moose5Comets3LSommaire du match
17 - 2024-09-19124Comets4Rocket5LSommaire du match
19 - 2024-09-21138Americans3Comets4WSommaire du match
21 - 2024-09-23148Comets1Wolves2LXSommaire du match
23 - 2024-09-25167Marlies6Comets4LSommaire du match
26 - 2024-09-28190Comets6PenguinsF3WSommaire du match
27 - 2024-09-29202Checkers5Comets2LSommaire du match
30 - 2024-10-02224SenatorsF5Comets2LSommaire du match
31 - 2024-10-03229Comets3Bears5LSommaire du match
36 - 2024-10-08257Comets5Phantoms3WSommaire du match
38 - 2024-10-10268SenatorsF5Comets4LXSommaire du match
40 - 2024-10-12286Comets3Moose4LSommaire du match
42 - 2024-10-14300Condors1Comets3WSommaire du match
44 - 2024-10-16312Comets2Gulls4LSommaire du match
46 - 2024-10-18329Comets3Wolves1WSommaire du match
48 - 2024-10-20340Crunch3Comets4WSommaire du match
50 - 2024-10-22356Comets0Monsters6LSommaire du match
52 - 2024-10-24372Iowa Wild2Comets3WXSommaire du match
55 - 2024-10-27393Comets4Firebirds3WSommaire du match
56 - 2024-10-28403Bears8Comets5LSommaire du match
59 - 2024-10-31421Comets3Griffins4LXSommaire du match
61 - 2024-11-02434Comets4Wolf Pack2WSommaire du match
62 - 2024-11-03442Reign2Comets3WXSommaire du match
65 - 2024-11-06460Comets5Crunch6LSommaire du match
67 - 2024-11-08472Islanders6Comets2LSommaire du match
71 - 2024-11-12500BruinsF4Comets3LSommaire du match
73 - 2024-11-14516Comets1Bears5LSommaire du match
75 - 2024-11-16529Islanders4Comets2LSommaire du match
78 - 2024-11-19552Comets1SenatorsF3LSommaire du match
79 - 2024-11-20564Moose5Comets2LSommaire du match
82 - 2024-11-23584Comets2Roadrunners3LSommaire du match
83 - 2024-11-24595Americans3Comets2LSommaire du match
86 - 2024-11-27617Marlies3Comets0LSommaire du match
88 - 2024-11-29631Comets2Marlies3LSommaire du match
89 - 2024-11-30645Comets3Firebirds4LSommaire du match
92 - 2024-12-03661Wolves2Comets0LSommaire du match
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
Assistance32,54020,258
Assistance PCT77.48%96.47%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 2514 - 83.81% 102,368$2,149,728$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,533,620$ 2,955,000$ 2,955,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,483,875$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,047,360$ 93 16,514$ 1,535,802$




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 Hutton121275683-3911015813422312.11%184285923.63151429960111100%00.5801
2Drake Caggiula124304272-16241061643049.87%26230318.57619256110186149.09%00.6315
3Andrej Sustr114144559-7377710213410.45%126239220.9961420801121000%00.4901
4Mitchell Stephens110272653244810921912.33%18150913.72117185200042252.36%00.7013
5Mikhail Vorobyev123203151-3214651852229.01%16188015.29212142500042352.56%00.5414

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 Bartosak58212740.8913.2530848016715320200.78919
2Lukas Dostal52192450.8983.10286510214814560300.7508
3Eddie Lack2861620.8724.1315242010582102200

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
164282702410116165-4921313022105984-2521514002005781-242611620331920444128411934173943731313273912996361332921.80%1243571.77%1698141549.33%776144753.63%34669949.50%991673988315556278
Total Saison régulière124406703833346425-7962203402411162201-3962203301422184224-401033466199652212911398103389115211311088463811108982419203998721.80%3508077.14%52049406550.41%2170424351.14%971202747.90%2920199229449291625811
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