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Comets
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 24 | GA: 17 | PP%: 33.33% | PK%: 80.00%
DG: Alex Gagnon | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #89 vs Bears

Centre de jeu
Comets
3-2-0, 6pts
8
FINAL
4 Stars
2-2-0, 4pts
Team Stats
L1SéquenceL1
1-1-0Fiche domicile1-1-0
2-1-0Fiche domicile1-1-0
3-2-0Derniers 10 matchs2-2-0
4.80Buts par match 4.00
3.40Buts contre par match 5.50
33.33%Pourcentage en avantage numérique85.71%
80.00%Pourcentage en désavantage numérique68.75%
Comets
3-2-0, 6pts
0
FINAL
2 Baby Hawks
6-0-0, 12pts
Team Stats
L1SéquenceW6
1-1-0Fiche domicile3-0-0
2-1-0Fiche domicile3-0-0
3-2-0Derniers 10 matchs6-0-0
4.80Buts par match 5.00
3.40Buts contre par match 2.17
33.33%Pourcentage en avantage numérique22.22%
80.00%Pourcentage en désavantage numérique91.67%
Comets
3-2-0, 6pts
2025-10-19
Bears
3-2-0, 6pts
Statistiques d’équipe
L1SéquenceL1
1-1-0Fiche domicile1-2-0
2-1-0Fiche visiteur2-0-0
3-2-010 derniers matchs3-2-0
4.80Buts par match 5.20
3.40Buts contre par match 5.20
33.33%Pourcentage en avantage numérique31.25%
80.00%Pourcentage en désavantage numérique68.75%
Comets
3-2-0, 6pts
2025-10-21
Manchots
3-1-1, 7pts
Statistiques d’équipe
L1SéquenceW1
1-1-0Fiche domicile1-1-0
2-1-0Fiche visiteur2-0-1
3-2-010 derniers matchs3-1-1
4.80Buts par match 4.60
3.40Buts contre par match 4.60
33.33%Pourcentage en avantage numérique38.46%
80.00%Pourcentage en désavantage numérique69.23%
Comets
3-2-0, 6pts
2025-10-23
Jayhawks
3-2-0, 6pts
Statistiques d’équipe
L1SéquenceW2
1-1-0Fiche domicile1-1-0
2-1-0Fiche visiteur2-1-0
3-2-010 derniers matchs3-2-0
4.80Buts par match 3.80
3.40Buts contre par match 3.80
33.33%Pourcentage en avantage numérique11.11%
80.00%Pourcentage en désavantage numérique40.00%
Meneurs d'équipe
Buts
Fraser Minten
3
Passes
Matthew Poitras
4
Points
Matthew Poitras
4
Plus/Moins
Devin Kaplan
3
Victoires
Kaapo Kähkönen
1
Pourcentage d’arrêts
Kaapo Kähkönen
0.87

Statistiques d’équipe
Buts pour
24
4.80 GFG
Tirs pour
117
23.40 Avg
Pourcentage en avantage numérique
33.3%
3 GF
Début de zone offensive
36.2%
Buts contre
17
3.40 GAA
Tirs contre
107
21.40 Avg
Pourcentage en désavantage numérique
80.0%%
2 GA
Début de la zone défensive
25.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,963
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 50
Espoirs27


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$
11Mason Primeau (R)X100.00614768577356545344474751535050050530232620,000$
12Ethan Del Mastro (R)X100.00674275718077656740646267665550050660212855,833$
13Kyle CapobiancoX100.006647636866706767406559696575520506502711,100,000$
14Cale Fleury (R)X100.00664172676967646440625768636551050640251726,000$
15Helge Grans (R)X100.00644368656864636340575766615150050620221847,500$
16Adam Engström (R)X100.00624263666261606240615665615050050610203896,667$
17Case McCarthy (R)X100.00614066626259575540545361575150050580231650,000$
Rayé
1Navrin Mutter (R)X100.00625456596763605640515153555250050550232725,000$
2Ivan Lodnia (R)X100.00474751545546444638424350485050050480252650,000$
3Ayrton Martino (R)X100.00454545454545454545454545454545050460223867,500$
4Redmond Savage (R)X100.00454545454545454545454545454545050460213675,000$
5Michael Callahan (R)X100.00614269656566656040555363605350050600251620,000$
MOYENNE D’ÉQUIPE100.0060436663656359594356545959535005058
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
1Kaapo Kähkönen100.00767679757975747274787170550506902841,200,000$
2Isaac Poulter (R)100.0072636562676972687068595150050620231620,001$
Rayé
1Hunter Shepard100.007569746572737472747468595205066N0281700,001$
2Matt Villalta (R)100.0074667264717275707372595450050650253620,000$
MOYENNE D’ÉQUIPE100.007469736772727471737364595205066
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
1Matthew PoitrasComets (Van)C/LW/RW2044300368350%44522.9301124000000050.00%440001.7400000010
2Fraser MintenComets (Van)C23142002454560.00%14522.8910114000001066.67%3901011.7500000100
3Joshua RoyComets (Van)LW/RW2202-1005182225.00%03718.691011300000000%111001.0700000000
4Devin KaplanComets (Van)RW22023000232466.67%04120.5700004000000050.00%612000.9700000001
5Kyle CapobiancoComets (Van)D2011-100153220%25125.790110600000000%000000.3900000000
6Andre LeeComets (Van)LW2011-100512010%23216.430000000000000%010000.6100000000
7Case McCarthyComets (Van)D2011220010000%13015.040000000000000%000000.6600000000
8Helge GransComets (Van)D2011000001310%33718.630001200000000%010000.5400000000
9Mathias LaferrièreComets (Van)RW2011000245030%13618.3000023000000040.00%500000.5500000000
10Ethan Del MastroComets (Van)D2011-100033100%05125.770001600000000%020000.3900000000
11Matthew SeminoffComets (Van)RW21010001251120.00%03015.420000000000010%110000.6500000000
12Filip HallanderComets (Van)C2000000511110%13618.1200013000000057.14%281100000000000
13Cale FleuryComets (Van)D2000000323030%63718.760000200000000%01000000000000
14Mason PrimeauComets (Van)C2000000321100%03115.6200000000000025.00%81000000000000
15Adam EngströmComets (Van)D2000200143000%03015.170000000000000%01100000000000
16Felix Unger SörumComets (Van)RW2000-200020020%0178.530000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne3281119620314051203015.69%2159318.54224942000021155.43%92156010.6400000111
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
1Kaapo KähkönenComets (Van)21100.8703.001200064625000020000
Statistiques d’équipe totales ou en moyenne21100.8703.00120006462500020000


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 AgentNoYes22024-09-11FalseFalsePro & 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
Cale FleuryComets (Van)D251998-11-19CANYes214 Lbs6 ft1NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm726,000$0$0$No---------------------------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
Ethan Del MastroComets (Van)D212003-01-15CANYes210 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm855,833$0$0$No855,833$--------855,833$--------No--------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 AgentNoYes12025-08-28FalseFalsePro & 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
Kaapo Kähkönen (contrat à 1 volet)Comets (Van)G281996-08-16FINNo216 Lbs6 ft2NoNoFree AgentYesYes42025-09-05FalseFalsePro & Farm1,200,000$155,000$146,166$No1,100,000$1,000,000$1,000,000$------1,075,000$1,075,000$1,075,000$------NoNoNo------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 AgentNoYes22024-09-11FalseFalsePro & 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 CallahanComets (Van)D251999-09-23USAYes196 Lbs6 ft2NoNoFree AgentYesYes12025-09-30FalseFalsePro & Farm620,000$0$0$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
2622.77193 Lbs6 ft22.08783,468$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PoitrasFraser MintenDevin Kaplan36023
2Joshua RoyFilip HallanderMathias Laferrière29122
3Andre LeeMason PrimeauMatthew Seminoff24122
4Matthew PoitrasFraser MintenFelix Unger Sörum11221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco36122
2Cale FleuryHelge Grans31122
3Adam EngströmCase McCarthy25122
4Ethan Del MastroKyle Capobianco8032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PoitrasFraser MintenDevin Kaplan59122
2Joshua RoyFilip HallanderMathias Laferrière41122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco60032
2Cale FleuryHelge Grans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fraser MintenMatthew Poitras55122
2Filip HallanderJoshua Roy45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco60122
2Cale FleuryHelge Grans40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Fraser Minten60122Ethan Del MastroKyle Capobianco58122
2Filip Hallander40122Cale FleuryHelge Grans42032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fraser MintenMatthew Poitras60122
2Filip HallanderJoshua Roy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco56122
2Cale FleuryHelge Grans44122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PoitrasFraser MintenDevin KaplanEthan Del MastroKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PoitrasFraser MintenDevin KaplanEthan Del MastroKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Devin Kaplan, Mathias Laferrière, Matthew SeminoffDevin Kaplan, Mathias LaferrièreDevin Kaplan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Helge Grans, Adam Engström, Case McCarthyHelge GransHelge Grans, Adam Engström
Tirs de pénalité
Matthew Poitras, Fraser Minten, Joshua Roy, Andre Lee, Devin Kaplan
Gardien
#1 : Kaapo Kähkönen, #2 : Isaac Poulter


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
1Baby Hawks1010000002-2000000000001010000002-200.0000000057120132248470209016100.00%000%0428151.85%275846.55%518560.00%1127092499442
2Chiefs1010000034-11010000034-10000000000000.00035800571202122484702694102150.00%20100.00%0428151.85%275846.55%518560.00%1127092499442
3Heat1100000010551100000010550000000000021.000102030005712025224847024111111100.00%30100.00%1428151.85%275846.55%518560.00%1127092499442
4Oil Kings11000000321000000000001100000032121.0003690057120202248470117811100.00%4175.00%0428151.85%275846.55%518560.00%1127092499442
5Stars11000000844000000000001100000084421.00081119005712038224847026122164250.00%110.00%0428151.85%275846.55%518560.00%1127092499442
Total532000002417721100000139432100000118360.600244266005712011722484701074825649333.33%10280.00%1428151.85%275846.55%518560.00%1127092499442
_Since Last GM Reset532000002417721100000139432100000118360.600244266005712011722484701074825649333.33%10280.00%1428151.85%275846.55%518560.00%1127092499442
_Vs Conference532000002417721100000139432100000118360.600244266005712011722484701074825649333.33%10280.00%1428151.85%275846.55%518560.00%1127092499442
_Vs Division31000000111011000000034-12100000086220.333111627005712072224847072306427342.86%3166.67%0428151.85%275846.55%518560.00%1127092499442

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
56L124426611710748256400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
53200002417
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2110000139
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3210000118
Derniers 10 matchs
WLOTWOTL SOWSOL
320000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9333.33%10280.00%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
224847057120
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
428151.85%275846.55%518560.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1127092499442


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 - 2025-10-0919Heat5Comets10WSommaire du match
5 - 2025-10-1135Comets3Oil Kings2WSommaire du match
7 - 2025-10-1346Chiefs4Comets3LSommaire du match
10 - 2025-10-1668Comets8Stars4WSommaire du match
11 - 2025-10-1774Comets0Baby Hawks2LSommaire du match
13 - 2025-10-1989Comets-Bears-
15 - 2025-10-21101Comets-Manchots-
17 - 2025-10-23118Comets-Jayhawks-
19 - 2025-10-25136Rocket-Comets-
20 - 2025-10-26147Oil Kings-Comets-
22 - 2025-10-28163Wolf Pack-Comets-
24 - 2025-10-30172Comets-Chiefs-
26 - 2025-11-01190Comets-Minnesota-
28 - 2025-11-03201Comets-Jayhawks-
30 - 2025-11-05216Baby Hawks-Comets-
33 - 2025-11-08241Monsters-Comets-
34 - 2025-11-09250Monsters-Comets-
36 - 2025-11-11263Oceanics-Comets-
39 - 2025-11-14280Comets-Caroline-
41 - 2025-11-16297Comets-Thunder-
42 - 2025-11-17303Comets-Cabaret Lady Mary Ann-
45 - 2025-11-20328Stars-Comets-
48 - 2025-11-23352Heat-Comets-
51 - 2025-11-26374Comets-Admirals-
53 - 2025-11-28385Comets-Sags-
54 - 2025-11-29401Comets-Monarchs-
57 - 2025-12-02417Comets-Monsters-
60 - 2025-12-05439Roadrunners-Comets-
61 - 2025-12-06451Minnesota-Comets-
63 - 2025-12-08464Cougars-Comets-
66 - 2025-12-11492Crunch-Comets-
69 - 2025-12-14508Comets-Spiders-
71 - 2025-12-16523Comets-Wolf Pack-
74 - 2025-12-19545Comets-Sound Tigers-
75 - 2025-12-20555Comets-Bruins-
77 - 2025-12-22572Comets-Phantoms-
82 - 2025-12-27599Sags-Comets-
84 - 2025-12-29616Comets-Firebirds-
85 - 2025-12-30621Phantoms-Comets-
88 - 2026-01-02642Firebirds-Comets-
89 - 2026-01-03656Bruins-Comets-
92 - 2026-01-06667Comets-Crunch-
94 - 2026-01-08684Comets-Cougars-
96 - 2026-01-10702Comets-Marlies-
98 - 2026-01-12720Comets-Rocket-
99 - 2026-01-13725Comets-Senators-
101 - 2026-01-15743Comets-Monsters-
103 - 2026-01-17764Oil Kings-Comets-
105 - 2026-01-19778Sound Tigers-Comets-
107 - 2026-01-21792Bears-Comets-
109 - 2026-01-23807Spiders-Comets-
111 - 2026-01-25822Manchots-Comets-
113 - 2026-01-27838Sags-Comets-
115 - 2026-01-29855Admirals-Comets-
117 - 2026-01-31869Marlies-Comets-
119 - 2026-02-02884Comets-Roadrunners-
121 - 2026-02-04901Comets-Las Vegas-
142 - 2026-02-25915Oceanics-Comets-
145 - 2026-02-28946Comets-Firebirds-
147 - 2026-03-02956Stars-Comets-
149 - 2026-03-04972Caroline-Comets-
151 - 2026-03-06985Comets-Baby Hawks-
152 - 2026-03-07996Comets-Oceanics-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-03-091011Senators-Comets-
157 - 2026-03-121038Jayhawks-Comets-
159 - 2026-03-141055Firebirds-Comets-
162 - 2026-03-171074Cabaret Lady Mary Ann-Comets-
164 - 2026-03-191090Thunder-Comets-
166 - 2026-03-211107Chiefs-Comets-
169 - 2026-03-241134Admirals-Comets-
171 - 2026-03-261149Monarchs-Comets-
173 - 2026-03-281165Comets-Heat-
175 - 2026-03-301175Comets-Las Vegas-
177 - 2026-04-011188Comets-Monsters-
178 - 2026-04-021199Comets-Minnesota-
180 - 2026-04-041216Roadrunners-Comets-
183 - 2026-04-071242Las Vegas-Comets-
185 - 2026-04-091260Comets-Monarchs-
187 - 2026-04-111275Comets-Sags-
188 - 2026-04-121280Comets-Admirals-
190 - 2026-04-141300Monarchs-Comets-
192 - 2026-04-161311Comets-Oil Kings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance2,5081,417
Assistance PCT62.70%70.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 1963 - 65.42% 92,244$184,488$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
107,043$ 1,917,017$ 1,917,017$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,933$ 107,043$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,597,516$ 182 9,933$ 1,807,806$




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

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

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

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