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Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Alex Gagnon | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #19 vs Heat

Heat
0-0-0, 0pts
2025-04-20
Comets
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Comets
0-0-0, 0pts
2025-04-22
Oil Kings
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Chiefs
0-0-0, 0pts
2025-04-24
Comets
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAlex Gagnon
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure23
Limite contact 46 / 50
Espoirs27


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique45-26-5 (0.592%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
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
1Matthew Poitras (R)XXX100.00604080747682666864696365685550050660202870,000$
2Fraser Minten (R)X100.00664074697575646461616263655550050630203816,667$
3Andre Lee (R)X100.00694472687971606441585962645150050620242700,000$
4Joshua Roy (R)XX100.00624176706969626542626262655250050620212835,000$
5Devin Kaplan (R)X100.00564069677575596240595959635150050600203921,667$
6Mathias Laferrière (R)X100.00584272656166646042595357595350050580242720,000$
7Matthew Seminoff (R)X100.00614270656262605841555258595050050570202850,000$
8Felix Unger Sörum (R)X100.00584168626158575942595454585050050570193803,333$
9Coulson Pitre (R)X100.00574168625958575941585454585050050560193860,000$
10Filip Hallander (R)X100.00554568676453525540524857585150050550241620,000$
11Navrin Mutter (R)X100.00625456596763605640515153555250050550232725,000$
12Mason Primeau (R)X100.00614768577356545344474751535050050530232620,000$
13Ivan Lodnia (R)X100.00474751545546444638424350485050050480252650,000$
14Kyle CapobiancoX100.006647636866706767406559696575520506502711,100,000$
15Helge Grans (R)X100.00644368656864636340575766615150050620221847,500$
16Adam Engström (R)X100.00624263666261606240615665615050050610203896,667$
17Case McCarthy (R)X100.00614066626259575540545361575150050580231650,000$
Rayé
1Ayrton Martino (R)X100.00454545454545454545454545454545050460223867,500$
2Redmond Savage (R)X100.00454545454545454545454545454545050460213675,000$
3Michael Callahan (R)X100.006142696565666560405553636053500506002500$
MOYENNE D’ÉQUIPE100.0059436663646258584356545858525005058
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
1Hunter Shepard100.007569746572737472747468595205066N0281700,001$
2Matt Villalta (R)100.0074667264717275707372595450050650253620,000$
Rayé
1Isaac Poulter (R)100.0072636562676972687068595150050620231620,001$
MOYENNE D’ÉQUIPE100.007466706470717470727162555105064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance 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
Adam EngströmComets (Van)D202003-11-17SWEYes185 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm896,667$0$0$No896,667$896,667$-------896,667$896,667$-------NoNo-------Lien
Andre LeeComets (Van)LW242000-07-26SWEYes206 Lbs6 ft5NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Ayrton MartinoComets (Van)LW222002-09-28CANYes161 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
Case McCarthyComets (Van)D232001-09-01USAYes198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Coulson PitreComets (Van)RW192004-12-13CANYes172 Lbs6 ft1NoNoDraftNoNo32025-07-10FalseFalsePro & Farm860,000$0$0$No860,000$860,000$-------860,000$860,000$-------NoNo-------Lien
Devin KaplanComets (Van)RW202004-01-10USAYes199 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm921,667$0$0$No921,667$921,667$-------921,667$921,667$-------NoNo-------Lien
Felix Unger SörumComets (Van)RW192005-09-14SWEYes179 Lbs6 ft0NoNoTrade2025-07-18NoNo32025-07-10FalseFalsePro & Farm803,333$0$0$No803,333$803,333$-------803,333$803,333$-------NoNo-------Lien
Filip HallanderComets (Van)C242000-06-29SWEYes190 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Fraser MintenComets (Van)C202004-07-05CANYes195 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm816,667$0$0$No816,667$816,667$-------816,667$816,667$-------NoNo-------Lien
Helge GransComets (Van)D222002-05-10SWEYes205 Lbs6 ft3NoNoTrade2024-12-14NoNo1FalseFalsePro & Farm847,500$0$0$No---------------------------Lien
Hunter ShepardComets (Van)G281995-11-07USANo209 Lbs6 ft1YesNoFree AgentYesYes12024-09-28FalseFalsePro & Farm700,001$0$0$No---------------------------Lien
Isaac PoulterComets (Van)G232001-09-12CANYes179 Lbs6 ft2NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm620,001$0$0$No---------------------------Lien
Ivan LodniaComets (Van)RW251999-08-31USAYes195 Lbs6 ft0NoNoFree AgentYesYes22024-09-11FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Joshua RoyComets (Van)LW/RW212003-08-06CANYes187 Lbs6 ft0NoNoTrade2025-02-17NoNo22024-06-25FalseFalsePro & Farm835,000$0$0$No835,000$--------835,000$--------No--------Lien
Kyle CapobiancoComets (Van)D271997-08-13CANNo196 Lbs6 ft2NoNoN/AYesYes1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Mason PrimeauComets (Van)C232001-07-28CANYes221 Lbs6 ft6NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Mathias LaferrièreComets (Van)RW242000-06-27CANYes174 Lbs6 ft1NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm720,000$0$0$No720,000$--------720,000$--------No--------Lien
Matt VillaltaComets (Van)G251999-06-03CANYes190 Lbs6 ft4NoNoFree AgentYesYes32025-08-29FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Matthew PoitrasComets (Van)C/LW/RW202004-03-10CANYes180 Lbs5 ft11NoNoTrade2025-07-18NoNo22024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Matthew SeminoffComets (Van)RW202003-12-27CANYes181 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Michael Callahan (contrat à 1 volet)Comets (Van)D251999-09-23USAYes196 Lbs6 ft2NoNoN/AYesYes0FalseFalsePro & Farm0$0$No---------------------------Lien
Navrin MutterComets (Van)LW232001-03-15CANYes198 Lbs6 ft4NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm725,000$0$0$No725,000$--------725,000$--------No--------Lien
Redmond SavageComets (Van)C212003-05-15USAYes185 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm675,000$0$0$No675,000$675,000$-------675,000$675,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.52190 Lbs6 ft22.00737,754$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua Roy36023
2Mathias LaferrièreMatthew Seminoff29122
3Andre LeeNavrin Mutter24122
4Navrin Mutter11221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle Capobianco36122
2Helge Grans31122
325122
4Kyle Capobianco8032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew Seminoff59122
2Mathias Laferrière41122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle Capobianco60032
2Helge Grans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
2Mathias Laferrière45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle Capobianco60122
2Helge Grans40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Kyle Capobianco58122
2Mathias Laferrière40122Helge Grans42032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mathias Laferrière40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle Capobianco56122
2Helge Grans44122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew SeminoffKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew SeminoffKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mathias Laferrière, , Andre LeeMathias Laferrière, Mathias Laferrière
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , Matthew Seminoff, Mathias Laferrière
Gardien
#1 : Hunter Shepard, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2025-04-2019Heat-Comets-
5 - 2025-04-2235Comets-Oil Kings-
7 - 2025-04-2446Chiefs-Comets-
10 - 2025-04-2768Comets-Stars-
11 - 2025-04-2874Comets-Baby Hawks-
13 - 2025-04-3089Comets-Bears-
15 - 2025-05-02101Comets-Manchots-
17 - 2025-05-04118Comets-Jayhawks-
19 - 2025-05-06136Rocket-Comets-
20 - 2025-05-07147Oil Kings-Comets-
22 - 2025-05-09163Wolf Pack-Comets-
24 - 2025-05-11172Comets-Chiefs-
26 - 2025-05-13190Comets-Minnesota-
28 - 2025-05-15201Comets-Jayhawks-
30 - 2025-05-17216Baby Hawks-Comets-
33 - 2025-05-20241Monsters-Comets-
34 - 2025-05-21250Monsters-Comets-
36 - 2025-05-23263Oceanics-Comets-
39 - 2025-05-26280Comets-Caroline-
41 - 2025-05-28297Comets-Thunder-
42 - 2025-05-29303Comets-Cabaret Lady Mary Ann-
45 - 2025-06-01328Stars-Comets-
48 - 2025-06-04352Heat-Comets-
51 - 2025-06-07374Comets-Admirals-
53 - 2025-06-09385Comets-Sags-
54 - 2025-06-10401Comets-Monarchs-
57 - 2025-06-13417Comets-Monsters-
60 - 2025-06-16439Roadrunners-Comets-
61 - 2025-06-17451Minnesota-Comets-
63 - 2025-06-19464Cougars-Comets-
66 - 2025-06-22492Crunch-Comets-
69 - 2025-06-25508Comets-Spiders-
71 - 2025-06-27523Comets-Wolf Pack-
74 - 2025-06-30545Comets-Sound Tigers-
75 - 2025-07-01555Comets-Bruins-
77 - 2025-07-03572Comets-Phantoms-
82 - 2025-07-08599Sags-Comets-
84 - 2025-07-10616Comets-Firebirds-
85 - 2025-07-11621Phantoms-Comets-
88 - 2025-07-14642Firebirds-Comets-
89 - 2025-07-15656Bruins-Comets-
92 - 2025-07-18667Comets-Crunch-
94 - 2025-07-20684Comets-Cougars-
96 - 2025-07-22702Comets-Marlies-
98 - 2025-07-24720Comets-Rocket-
99 - 2025-07-25725Comets-Senators-
101 - 2025-07-27743Comets-Monsters-
103 - 2025-07-29764Oil Kings-Comets-
105 - 2025-07-31778Sound Tigers-Comets-
107 - 2025-08-02792Bears-Comets-
109 - 2025-08-04807Spiders-Comets-
111 - 2025-08-06822Manchots-Comets-
113 - 2025-08-08838Sags-Comets-
115 - 2025-08-10855Admirals-Comets-
117 - 2025-08-12869Marlies-Comets-
119 - 2025-08-14884Comets-Roadrunners-
121 - 2025-08-16901Comets-Las Vegas-
142 - 2025-09-06915Oceanics-Comets-
145 - 2025-09-09946Comets-Firebirds-
147 - 2025-09-11956Stars-Comets-
149 - 2025-09-13972Caroline-Comets-
151 - 2025-09-15985Comets-Baby Hawks-
152 - 2025-09-16996Comets-Oceanics-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2025-09-181011Senators-Comets-
157 - 2025-09-211038Jayhawks-Comets-
159 - 2025-09-231055Firebirds-Comets-
162 - 2025-09-261074Cabaret Lady Mary Ann-Comets-
164 - 2025-09-281090Thunder-Comets-
166 - 2025-09-301107Chiefs-Comets-
169 - 2025-10-031134Admirals-Comets-
171 - 2025-10-051149Monarchs-Comets-
173 - 2025-10-071165Comets-Heat-
175 - 2025-10-091175Comets-Las Vegas-
177 - 2025-10-111188Comets-Monsters-
178 - 2025-10-121199Comets-Minnesota-
180 - 2025-10-141216Roadrunners-Comets-
183 - 2025-10-171242Las Vegas-Comets-
185 - 2025-10-191260Comets-Monarchs-
187 - 2025-10-211275Comets-Sags-
188 - 2025-10-221280Comets-Admirals-
190 - 2025-10-241300Monarchs-Comets-
192 - 2025-10-261311Comets-Oil Kings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,696,834$ 1,696,834$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,792$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 193 8,792$ 1,696,856$




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
1Joe Snively8049561057581209428617.13%35156319.541115263402226236.49%31.3417
2Mathias Laferriere82405595171315914422817.54%44165120.148202828101116148.03%01.1525
3Matthew Seminoff8236367224351349319718.27%43157319.19513181700003344.32%00.9237
4Aleksi Heponiemi80284169-329818716916.57%29130316.30712192500025153.47%01.0600
5Joshua Roy672936651239898418715.51%21120818.0348121800012140.63%01.0813

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
1Hunter Shepard60311650.8723.813137201991549783610.56316
2Matthew Villalta38141040.8703.81170120108832422400.66712

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
202482412601734358321374121100053219216032412016012021661615101358583941106314414710252265194790348243774573217572017738.31%1857559.46%3781155550.23%737160545.92%662133449.63%161583617207741632816
Total Saison régulière82412601734358321374121100053219216032412016012021661615101358583941106314414710252265194790348243774573217572017738.31%1857559.46%3781155550.23%737160545.92%662133449.63%161583617207741632816
Séries éliminatoires
2024734000002624242200000141223120000012120626426800512902044690653176799619313215.38%18572.22%07615250.00%5212142.98%4610942.20%146721387615975
Total Séries éliminatoires734000002624242200000141223120000012120626426800512902044690653176799619313215.38%18572.22%07615250.00%5212142.98%4610942.20%146721387615975

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
1Tye Kartye73912172693010.00%515922.83022200010044.77%01.5000
2Aleksi Heponiemi75497410121926.32%511416.29000000001053.85%01.5800
3Kyle MacLean75381111493016.67%515622.29202400011022.22%01.0300
4Marcus Bjork7077679570%615221.7600000000000%00.9200
5Joe Snively724620138258.00%212417.840000000000100.00%00.9600

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
1Hunter Shepard52110.8424.052670018114540000
2Matthew Villalta31020.9032.0517600662370000