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Comets
GP: 27 | W: 15 | L: 11 | OTL: 1 | P: 31
GF: 120 | GA: 93 | PP%: 56.25% | PK%: 75.44%
DG: Alex Gagnon | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #439 vs Roadrunners

Centre de jeu
Comets
15-11-1, 31pts
4
FINAL
3 Monarchs
8-16-2, 18pts
Team Stats
W2SéquenceL1
5-5-1Fiche domicile2-8-1
10-6-0Fiche domicile6-8-1
7-3-0Derniers 10 matchs2-6-2
4.44Buts par match 3.69
3.44Buts contre par match 5.54
56.25%Pourcentage en avantage numérique15.85%
75.44%Pourcentage en désavantage numérique58.75%
Comets
15-11-1, 31pts
4
FINAL
3 Monsters
17-5-4, 38pts
Team Stats
W2SéquenceOTL2
5-5-1Fiche domicile7-2-4
10-6-0Fiche domicile10-3-0
7-3-0Derniers 10 matchs7-1-2
4.44Buts par match 4.96
3.44Buts contre par match 3.77
56.25%Pourcentage en avantage numérique43.28%
75.44%Pourcentage en désavantage numérique76.06%
Roadrunners
11-15-2, 24pts
2025-12-05
Comets
15-11-1, 31pts
Statistiques d’équipe
L1SéquenceW2
6-5-0Fiche domicile5-5-1
5-10-2Fiche visiteur10-6-0
5-4-110 derniers matchs7-3-0
4.54Buts par match 4.44
5.61Buts contre par match 4.44
51.67%Pourcentage en avantage numérique56.25%
57.73%Pourcentage en désavantage numérique75.44%
Minnesota
10-11-6, 26pts
2025-12-06
Comets
15-11-1, 31pts
Statistiques d’équipe
W2SéquenceW2
5-6-4Fiche domicile5-5-1
5-5-2Fiche visiteur10-6-0
7-1-210 derniers matchs7-3-0
3.63Buts par match 4.44
4.44Buts contre par match 4.44
27.66%Pourcentage en avantage numérique56.25%
71.23%Pourcentage en désavantage numérique75.44%
Cougars
8-15-4, 20pts
2025-12-08
Comets
15-11-1, 31pts
Statistiques d’équipe
L2SéquenceW2
4-10-2Fiche domicile5-5-1
4-5-2Fiche visiteur10-6-0
3-7-010 derniers matchs7-3-0
4.00Buts par match 4.44
5.44Buts contre par match 4.44
34.18%Pourcentage en avantage numérique56.25%
66.67%Pourcentage en désavantage numérique75.44%
Meneurs d'équipe
Buts
Devin Kaplan
21
Passes
Mathias Laferrière
19
Points
Devin Kaplan
34
Plus/Moins
Josiah Slavin
12
Victoires
Kaapo Kähkönen
12
Pourcentage d’arrêts
Isaac Poulter
0.9

Statistiques d’équipe
Buts pour
120
4.44 GFG
Tirs pour
729
27.00 Avg
Pourcentage en avantage numérique
56.3%
36 GF
Début de zone offensive
33.3%
Buts contre
93
3.44 GAA
Tirs contre
732
27.11 Avg
Pourcentage en désavantage numérique
75.4%%
14 GA
Début de la zone défensive
35.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,936
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 50
Espoirs28


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
1Fraser Minten (R)X100.00664074697575646461616263655550050630203816,667$
2Andre Lee (R)X100.00694472687971606441585962645150050620242700,000$
3Joshua Roy (R)XX100.00624176706969626542626262655250050620212835,000$
4Devin Kaplan (R)X100.00564069677575596240595959635150050600203921,667$
5Josiah Slavin (R)X100.00584270636468666143565554605450050580251600,000$
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$
10Navrin Mutter (R)X100.00625456596763605640515153555250050550232725,000$
11Ethan Del Mastro (R)X100.00674275718077656740646267665550050660212855,833$
12Kyle CapobiancoX100.006647636866706767406559696575520506502711,100,000$
13Cale Fleury (R)X100.00664172676967646440625768636551050640251726,000$
14Helge Grans (R)X100.00644368656864636340575766615150050620221847,500$
15Adam Engström (R)X100.00624263666261606240615665615050050610203896,667$
16Michael Callahan (R)X100.00614269656566656040555363605350050600251620,000$
17Case McCarthy (R)X100.00614066626259575540545361575150050580231650,000$
Rayé
1Filip Hallander (R)X100.00554568676453525540524857585150050550241620,000$
2Mason Primeau (R)X100.00614768577356545344474751535050050530232620,000$
3Ivan Lodnia (R)X100.00474751545546444638424350485050050480252650,000$
4Ayrton Martino (R)X100.00454545454545454545454545454545050460223867,500$
5Redmond Savage (R)X100.00454545454545454545454545454545050460213675,000$
MOYENNE D’ÉQUIPE100.0059436663656259594256545859535005058
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$
2Hunter Shepard100.007569746572737472747468595205066N0281700,001$
Rayé
1Matt Villalta (R)100.0074667264717275707372595450050650253620,000$
2Isaac Poulter (R)100.0072636562676972687068595150050620231620,001$
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
1Devin KaplanComets (Van)RW242113344160332973275428.77%1049520.65117182441000081048.00%1251817011.3700000403
2Fraser MintenComets (Van)C18141832795324061204822.95%941322.9947117240002241055.06%445620011.5500100321
3Mathias LaferrièreComets (Van)RW248192718035306863511.76%1544418.510771429000002141.51%10686001.2200000312
4Ethan Del MastroComets (Van)D2451924-79527385320199.43%2862025.8437101348000246100%11628000.7700001021
5Brendan LemieuxVancouverLW181012228301036923131243.48%1036920.52516931000282060.71%28811001.1900020012
6Kyle CapobiancoComets (Van)D2441822-92115303738161710.53%3960425.1911415749000445100%01034100.7300300102
7Josiah SlavinComets (Van)LW261210221220382544102627.27%1441916.134268171013161150.00%1438001.0500000110
8Matthew PoitrasVancouverC/LW/RW108111984016184693017.39%1123023.09314613000071166.67%1296011.6500000230
9Andre LeeComets (Van)LW247714-860392550123014.00%1439016.2510131000050015.38%13169000.7200000011
10Matthew SeminoffComets (Van)RW2431013-220201830131510.00%233113.8100001000010147.62%42613000.7800000010
11Joshua RoyComets (Van)LW/RW126511-220141936142316.67%521818.21213414000292020.00%545001.0100000012
12Cale FleuryComets (Van)D24281047527354614244.35%2354022.520446210001280039.22%51929000.3700010000
13Adam EngströmComets (Van)D241892100263019355.26%1441017.1111221000080070.00%10915000.4400000000
14Helge GransComets (Van)D240885201024252714140%2046419.370225220003290028.57%7820000.3400002100
15Filip HallanderComets (Van)C12437-3002117118436.36%422618.86112213000090041.50%14743000.6200000000
16Felix Unger SörumComets (Van)RW24505-300231533111815.15%532313.4900001000111157.14%14310000.3100000110
17Mason PrimeauComets (Van)C121340401812102310.00%218715.6501112000020040.00%7034000.4300000010
18Coulson PitreComets (Van)RW12134-140171610111210.00%421317.8100000000000048.39%9309000.3700000001
19Case McCarthyComets (Van)D24033280131910620%1038115.900000000002000%2118000.1600000000
Statistiques d’équipe totales ou en moyenne384112178290181625048945768822939116.28%239728718.983656921113351012025613548.52%1185141265130.8000433161515
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)2312910.8763.571294207762131800002313010
2Isaac PoulterComets (Van)41100.9002.0114900550250000111000
Statistiques d’équipe totales ou en moyenne27131010.8783.41144420826713430002424010


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
Josiah SlavinComets (Van)LW251998-12-31USAYes190 Lbs6 ft3NoNoTrade2025-11-08YesYes1FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Kaapo Kähkönen (contrat à 1 volet)Comets (Van)G281996-08-16FINNo216 Lbs6 ft2NoNoFree AgentYesYes42025-09-05FalseFalsePro & Farm1,200,000$155,000$108,420$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 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
2622.96194 Lbs6 ft22.04773,083$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Devin Kaplan36023
2Josiah SlavinMathias Laferrière29122
3Andre LeeFelix Unger Sörum24122
4Coulson PitreMatthew Seminoff11221
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
1Devin Kaplan59122
2Josiah SlavinMathias Laferrière41122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco60032
2Cale FleuryHelge Grans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
2Josiah Slavin45122
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
160122Ethan Del MastroKyle Capobianco58122
240122Cale FleuryHelge Grans42032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Josiah Slavin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco56122
2Cale FleuryHelge Grans44122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Devin KaplanEthan Del MastroKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinDevin 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
Felix Unger Sörum, , , Andre Lee, Devin Kaplan
Gardien
#1 : , #2 : Kaapo Kähkönen


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
1Admirals1010000025-3000000000001010000025-300.000235002450433251942812421242171423200.00%7271.43%022146647.42%23149646.57%21943949.89%525266569247531275
2Baby Hawks2020000036-31010000034-11010000002-200.0003470024504334119428124212512013393133.33%4175.00%022146647.42%23149646.57%21943949.89%525266569247531275
3Bears1010000078-1000000000001010000078-100.0007121900245043328194281242123412021100.00%000%022146647.42%23149646.57%21943949.89%525266569247531275
4Cabaret Lady Mary Ann11000000514000000000001100000051421.00058130024504332719428124212246717000%10100.00%022146647.42%23149646.57%21943949.89%525266569247531275
5Caroline11000000936000000000001100000093621.0009152400245043331194281242122344194250.00%20100.00%022146647.42%23149646.57%21943949.89%525266569247531275
6Chiefs211000009811010000034-11100000064220.50091524002450433611942812421248168393266.67%4175.00%022146647.42%23149646.57%21943949.89%525266569247531275
7Heat220000001991022000000199100000000000041.0001935540024504336619428124212662613356466.67%40100.00%122146647.42%23149646.57%21943949.89%525266569247531275
8Jayhawks21100000660000000000002110000066020.50069150024504335519428124212491912304375.00%6266.67%022146647.42%23149646.57%21943949.89%525266569247531275
9Manchots1010000014-3000000000001010000014-300.00011200245043318194281242122842164125.00%110.00%022146647.42%23149646.57%21943949.89%525266569247531275
10Minnesota11000000716000000000001100000071621.00071320002450433311942812421224610174375.00%000%022146647.42%23149646.57%21943949.89%525266569247531275
11Monarchs10001000431000000000001000100043121.0004711002450433301942812421231881811100.00%40100.00%022146647.42%23149646.57%21943949.89%525266569247531275
12Monsters11000000211110000002110000000000021.0002240024504332819428124212197622200.00%30100.00%022146647.42%23149646.57%21943949.89%525266569247531275
13Monsters200011008801000010045-11000100043130.75081321002450433501942812421276132425480.00%10100.00%022146647.42%23149646.57%21943949.89%525266569247531275
14Oceanics11000000716110000007160000000000021.000714210024504333319428124212392324245480.00%20100.00%022146647.42%23149646.57%21943949.89%525266569247531275
15Oil Kings2110000056-11010000024-21100000032120.5005914002450433351942812421222914242150.00%7271.43%022146647.42%23149646.57%21943949.89%525266569247531275
16Rocket1010000034-11010000034-10000000000000.00035800245043329194281242123094143133.33%2150.00%022146647.42%23149646.57%21943949.89%525266569247531275
17Sags1010000035-2000000000001010000035-200.000369002450433271942812421227100165360.00%000%022146647.42%23149646.57%21943949.89%525266569247531275
18Stars2110000012931010000045-11100000084420.5001218300024504336819428124212582810357571.43%5340.00%022146647.42%23149646.57%21943949.89%525266569247531275
19Thunder10001000541000000000001000100054121.000581300245043324194281242121854162150.00%20100.00%022146647.42%23149646.57%21943949.89%525266569247531275
20Wolf Pack11000000312110000003120000000000021.00034700245043322194281242122311421100.00%2150.00%022146647.42%23149646.57%21943949.89%525266569247531275
Total271211031001209327115500100503812167603000705515310.57412020132100245043372919428124212732253159488643656.25%571475.44%122146647.42%23149646.57%21943949.89%525266569247531275
_Since Last GM Reset271211031001209327115500100503812167603000705515310.57412020132100245043372919428124212732253159488643656.25%571475.44%122146647.42%23149646.57%21943949.89%525266569247531275
_Vs Conference1897011008661258250010038353107201000482622210.583861442300024504334941942812421247115697311412663.41%361072.22%122146647.42%23149646.57%21943949.89%525266569247531275
_Vs Division12120110052391350200100211927100100031201150.20852861380024504333391942812421234512579226312270.97%22768.18%022146647.42%23149646.57%21943949.89%525266569247531275

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2731W212020132172973225315948800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
271211310012093
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115501005038
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
167630007055
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
643656.25%571475.44%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
194281242122450433
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
22146647.42%23149646.57%21943949.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
525266569247531275


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 - 2025-10-1989Comets7Bears8LSommaire du match
15 - 2025-10-21101Comets1Manchots4LSommaire du match
17 - 2025-10-23118Comets3Jayhawks2WSommaire du match
19 - 2025-10-25136Rocket4Comets3LSommaire du match
20 - 2025-10-26147Oil Kings4Comets2LSommaire du match
22 - 2025-10-28163Wolf Pack1Comets3WSommaire du match
24 - 2025-10-30172Comets6Chiefs4WSommaire du match
26 - 2025-11-01190Comets7Minnesota1WSommaire du match
28 - 2025-11-03201Comets3Jayhawks4LSommaire du match
30 - 2025-11-05216Baby Hawks4Comets3LSommaire du match
33 - 2025-11-08241Monsters1Comets2WSommaire du match
34 - 2025-11-09250Monsters5Comets4LXSommaire du match
36 - 2025-11-11263Oceanics1Comets7WSommaire du match
39 - 2025-11-14280Comets9Caroline3WSommaire du match
41 - 2025-11-16297Comets5Thunder4WXSommaire du match
42 - 2025-11-17303Comets5Cabaret Lady Mary Ann1WSommaire du match
45 - 2025-11-20328Stars5Comets4LSommaire du match
48 - 2025-11-23352Heat4Comets9WSommaire du match
51 - 2025-11-26374Comets2Admirals5LSommaire du match
53 - 2025-11-28385Comets3Sags5LSommaire du match
54 - 2025-11-29401Comets4Monarchs3WXSommaire du match
57 - 2025-12-02417Comets4Monsters3WXSommaire du match
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 billets4920
Assistance13,9007,397
Assistance PCT63.18%67.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-8 1936 - 64.54% 91,132$1,002,452$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
551,657$ 1,890,017$ 1,890,017$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,793$ 551,657$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,733,960$ 135 9,793$ 1,322,055$




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