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Comets
GP: 33 | W: 18 | L: 13 | OTL: 2 | P: 38
GF: 144 | GA: 120 | PP%: 54.93% | PK%: 70.59%
DG: Alex Gagnon | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #545 vs Sound Tigers

Centre de jeu
Comets
18-13-2, 38pts
2
FINAL
7 Spiders
24-5-4, 52pts
Team Stats
OTL1SéquenceW6
8-6-1Fiche domicile13-2-2
10-7-1Fiche domicile11-3-2
5-4-1Derniers 10 matchs8-2-0
4.36Buts par match 5.39
3.64Buts contre par match 3.85
54.93%Pourcentage en avantage numérique27.72%
70.59%Pourcentage en désavantage numérique66.67%
Comets
18-13-2, 38pts
3
FINAL
4 Wolf Pack
24-11-0, 48pts
Team Stats
OTL1SéquenceW5
8-6-1Fiche domicile11-6-0
10-7-1Fiche domicile13-5-0
5-4-1Derniers 10 matchs7-3-0
4.36Buts par match 4.49
3.64Buts contre par match 3.17
54.93%Pourcentage en avantage numérique41.12%
70.59%Pourcentage en désavantage numérique72.22%
Comets
18-13-2, 38pts
2025-12-19
Sound Tigers
17-11-6, 40pts
Statistiques d’équipe
OTL1SéquenceL1
8-6-1Fiche domicile9-4-5
10-7-1Fiche visiteur8-7-1
5-4-110 derniers matchs5-3-2
4.36Buts par match 4.12
3.64Buts contre par match 4.12
54.93%Pourcentage en avantage numérique26.44%
70.59%Pourcentage en désavantage numérique63.64%
Comets
18-13-2, 38pts
2025-12-20
Bruins
19-13-2, 40pts
Statistiques d’équipe
OTL1SéquenceL1
8-6-1Fiche domicile10-7-0
10-7-1Fiche visiteur9-6-2
5-4-110 derniers matchs4-5-1
4.36Buts par match 4.00
3.64Buts contre par match 4.00
54.93%Pourcentage en avantage numérique39.53%
70.59%Pourcentage en désavantage numérique66.67%
Comets
18-13-2, 38pts
2025-12-22
Phantoms
23-8-1, 47pts
Statistiques d’équipe
OTL1SéquenceW1
8-6-1Fiche domicile13-5-1
10-7-1Fiche visiteur10-3-0
5-4-110 derniers matchs7-3-0
4.36Buts par match 4.84
3.64Buts contre par match 4.84
54.93%Pourcentage en avantage numérique44.83%
70.59%Pourcentage en désavantage numérique84.06%
Meneurs d'équipe
Buts
Devin Kaplan
29
Passes
Mathias Laferrière
25
Points
Devin Kaplan
44
Plus/Moins
Devin Kaplan
8
Victoires
Kaapo Kähkönen
15
Pourcentage d’arrêts
Isaac Poulter
0.9

Statistiques d’équipe
Buts pour
144
4.36 GFG
Tirs pour
858
26.00 Avg
Pourcentage en avantage numérique
54.9%
39 GF
Début de zone offensive
32.3%
Buts contre
120
3.64 GAA
Tirs contre
909
27.55 Avg
Pourcentage en désavantage numérique
70.6%%
20 GA
Début de la zone défensive
36.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,944
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 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
1Andre Lee (R)X100.00694472687971606441585962645150050620242700,000$
2Joshua Roy (R)XX100.00624176706969626542626262655250050620212835,000$
3Devin Kaplan (R)X100.00564069677575596240595959635150050600203921,667$
4Josiah Slavin (R)X100.00584270636468666143565554605450050580251600,000$
5Mathias Laferrière (R)X100.00584272656166646042595357595350050580242720,000$
6Matthew Seminoff (R)X100.00614270656262605841555258595050050570202850,000$
7Felix Unger Sörum (R)X100.00584168626158575942595454585050050570193803,333$
8Coulson Pitre (R)X100.00574168625958575941585454585050050560193860,000$
9Navrin Mutter (R)X100.00625456596763605640515153555250050550232725,000$
10Ethan Del Mastro (R)X100.00674275718077656740646267665550050660212855,833$
11Kyle CapobiancoX100.006647636866706767406559696575520506502711,100,000$
12Cale Fleury (R)X100.00664172676967646440625768636551050640251726,000$
13Helge Grans (R)X100.00644368656864636340575766615150050620221847,500$
14Adam Engström (R)X100.00624263666261606240615665615050050610203896,667$
15Michael Callahan (R)X100.00614269656566656040555363605350050600251620,000$
16Case 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’ÉQUIPE100.0059436563646258584156545858535005058
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)RW3029154482004239102306428.43%1262220.75128202847000082150.00%1461921021.4100000515
2Mathias LaferrièreComets (Van)RW3010253538043337174414.08%1655118.380881432000002143.24%14898001.2700000332
3Fraser MintenVancouverC18141832795324061204822.95%941322.9947117240002241055.06%445620011.5500100321
4Kyle CapobiancoComets (Van)D3042529-8282037474618248.70%4774824.9511516755011453100%01340100.7800301102
5Ethan Del MastroComets (Van)D3052328-49535516526237.69%3778226.0738111555011254100%22431000.7200001021
6Josiah SlavinComets (Van)LW32121123620523452143023.08%1653016.584268181013191148.28%29412000.8700000110
7Brendan LemieuxVancouverLW181012228301036923131243.48%1036920.52516931000282060.71%28811001.1900020012
8Andre LeeComets (Van)LW30101121-780453461193716.39%1649316.4720244000051021.43%142012000.8500000011
9Matthew PoitrasVancouverC/LW/RW108111984016184693017.39%1123023.09314613000071166.67%1296011.6500000230
10Joshua RoyComets (Van)LW/RW1610717-120222452193219.23%830619.153257201014142020.00%1057001.1100000112
11Matthew SeminoffComets (Van)RW3041115-220272737132110.81%344014.6900001000010141.07%56713000.6800000010
12Cale FleuryComets (Van)D303111469532435216315.77%3166822.270447250001331038.98%591131000.4200010001
13Helge GransComets (Van)D30011116221030312915160%2558019.330226250004350027.27%11822000.3800002100
14Coulson PitreComets (Van)RW184711-460232916131625.00%833218.4400000000020147.30%148012000.6600000002
15Adam EngströmComets (Van)D301910-1120294026473.85%1950716.9311221000090075.00%12918000.3900000000
16Felix Unger SörumComets (Van)RW30639-375342642162314.29%845415.1500003000111147.52%101511000.4000001110
17Filip HallanderComets (Van)C12437-3002117118436.36%422618.86112213000090041.50%14743000.6200000000
18Case McCarthyComets (Van)D30044380152411650%1346515.5100000000020025.00%12119000.1700000000
19Mason PrimeauComets (Van)C121340401812102310.00%218715.6501112000020040.00%7034000.4300000010
20Michael CallahanComets (Van)D4011-400401000%05513.940000000000000%023000.3600000000
21Navrin MutterComets (Van)LW4000-340221110%14010.01000000000000100.00%11000000000000
Statistiques d’équipe totales ou en moyenne474135221356151946059558081526947116.56%296900719.0039611001233772242329516747.90%1451168304140.7900435181819
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)29151120.8703.7216472010278239100002915010
2Isaac PoulterComets (Van)41100.9002.0114900550250000111000
3Hunter ShepardComets (Van)10000.87510.9111002169000004000
Statistiques d’équipe totales ou en moyenne34161220.8713.621807201098484250003030010


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
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$97,979$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
2523.08193 Lbs6 ft22.00771,340$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua RoyDevin Kaplan40122
2Andre LeeFelix Unger SörumMathias Laferrière30122
3Josiah SlavinCoulson PitreMatthew Seminoff20122
4Navrin MutterFelix Unger Sörum10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco40122
2Cale FleuryHelge Grans30122
3Adam EngströmMichael Callahan20122
4Case McCarthyEthan Del Mastro10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua RoyDevin Kaplan60122
2Andre LeeFelix Unger SörumMathias Laferrière40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco60122
2Cale FleuryHelge Grans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joshua Roy60122
2Andre LeeDevin Kaplan40122
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 Capobianco60122
2Joshua Roy40122Cale FleuryHelge Grans40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joshua Roy60122
2Andre LeeDevin Kaplan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del MastroKyle Capobianco60122
2Cale FleuryHelge Grans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joshua RoyDevin KaplanEthan Del MastroKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joshua RoyDevin KaplanEthan Del MastroKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josiah Slavin, Matthew Seminoff, Coulson PitreJosiah Slavin, Matthew SeminoffCoulson Pitre
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Engström, Michael Callahan, Case McCarthyAdam EngströmMichael Callahan, Case McCarthy
Tirs de pénalité
, Joshua Roy, Andre Lee, Devin Kaplan, Mathias Laferrière
Gardien
#1 : Kaapo Kähkönen, #2 : Hunter Shepard


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
1Admirals1010000025-3000000000001010000025-300.000235002954574252263252911642171423200.00%7271.43%025354846.17%28261745.71%26553449.63%630314699304658340
2Baby Hawks2020000036-31010000034-11010000002-200.0003470029545744122632529116512013393133.33%4175.00%025354846.17%28261745.71%26553449.63%630314699304658340
3Bears1010000078-1000000000001010000078-100.0007121900295457428226325291163412021100.00%000%025354846.17%28261745.71%26553449.63%630314699304658340
4Cabaret Lady Mary Ann11000000514000000000001100000051421.00058130029545742722632529116246717000%10100.00%025354846.17%28261745.71%26553449.63%630314699304658340
5Caroline11000000936000000000001100000093621.0009152400295457431226325291162344194250.00%20100.00%025354846.17%28261745.71%26553449.63%630314699304658340
6Chiefs211000009811010000034-11100000064220.50091524002954574612263252911648168393266.67%4175.00%025354846.17%28261745.71%26553449.63%630314699304658340
7Cougars1010000013-21010000013-20000000000000.0001230029545741422632529116198418000%2150.00%025354846.17%28261745.71%26553449.63%630314699304658340
8Crunch11000000752110000007520000000000021.0007111800295457431226325291162784182150.00%2150.00%025354846.17%28261745.71%26553449.63%630314699304658340
9Heat220000001991022000000199100000000000041.0001935540029545746622632529116662613356466.67%40100.00%125354846.17%28261745.71%26553449.63%630314699304658340
10Jayhawks21100000660000000000002110000066020.50069150029545745522632529116491912304375.00%6266.67%025354846.17%28261745.71%26553449.63%630314699304658340
11Manchots1010000014-3000000000001010000014-300.00011200295457418226325291162842164125.00%110.00%025354846.17%28261745.71%26553449.63%630314699304658340
12Minnesota220000001248110000005321100000071641.0001223350029545745122632529116511410354375.00%000%025354846.17%28261745.71%26553449.63%630314699304658340
13Monarchs10001000431000000000001000100043121.0004711002954574302263252911631881811100.00%40100.00%025354846.17%28261745.71%26553449.63%630314699304658340
14Monsters11000000211110000002110000000000021.0002240029545742822632529116197622200.00%30100.00%025354846.17%28261745.71%26553449.63%630314699304658340
15Monsters200011008801000010045-11000100043130.75081321002954574502263252911676132425480.00%10100.00%025354846.17%28261745.71%26553449.63%630314699304658340
16Oceanics11000000716110000007160000000000021.000714210029545743322632529116392324245480.00%20100.00%025354846.17%28261745.71%26553449.63%630314699304658340
17Oil Kings2110000056-11010000024-21100000032120.5005914002954574352263252911622914242150.00%7271.43%025354846.17%28261745.71%26553449.63%630314699304658340
18Roadrunners10001000651100010006510000000000021.0006101600295457429226325291164514618000%3166.67%025354846.17%28261745.71%26553449.63%630314699304658340
19Rocket1010000034-11010000034-10000000000000.00035800295457429226325291163094143133.33%2150.00%025354846.17%28261745.71%26553449.63%630314699304658340
20Sags1010000035-2000000000001010000035-200.000369002954574272263252911627100165360.00%000%025354846.17%28261745.71%26553449.63%630314699304658340
21Spiders1010000027-5000000000001010000027-500.000246002954574152263252911640171611200.00%3233.33%125354846.17%28261745.71%26553449.63%630314699304658340
22Stars2110000012931010000045-11100000084420.5001218300029545746822632529116582810357571.43%5340.00%025354846.17%28261745.71%26553449.63%630314699304658340
23Thunder10001000541000000000001000100054121.000581300295457424226325291161854162150.00%20100.00%025354846.17%28261745.71%26553449.63%630314699304658340
24Wolf Pack21000100651110000003121000010034-130.75061016002954574422263252911642146464250.00%3233.33%025354846.17%28261745.71%26553449.63%630314699304658340
Total331413042001441202415760110069541518770310075669380.57614424438800295457485822632529116909311191596713954.93%682070.59%225354846.17%28261745.71%26553449.63%630314699304658340
_Since Last GM Reset331413042001441202415760110069541518770310075669380.57614424438800295457485822632529116909311191596713954.93%682070.59%225354846.17%28261745.71%26553449.63%630314699304658340
_Vs Conference211180110099722711460010051465107201000482622250.5959916726600295457455922632529116544180105365432762.79%401270.00%125354846.17%28261745.71%26553449.63%630314699304658340
_Vs Division14220110063471671200100322757100100031201170.250631061690029545743882263252911641714785262312270.97%25868.00%025354846.17%28261745.71%26553449.63%630314699304658340

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3338OTL114424438885890931119159600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3314134200144120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157611006954
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187731007566
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
713954.93%682070.59%2
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
226325291162954574
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
25354846.17%28261745.71%26553449.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
630314699304658340


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 - 2025-12-05439Roadrunners5Comets6WXSommaire du match
61 - 2025-12-06451Minnesota3Comets5WSommaire du match
63 - 2025-12-08464Cougars3Comets1LSommaire du match
66 - 2025-12-11492Crunch5Comets7WSommaire du match
69 - 2025-12-14508Comets2Spiders7LSommaire du match
71 - 2025-12-16523Comets3Wolf Pack4LXSommaire du match
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
Assistance19,00210,154
Assistance PCT63.34%67.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-12 1944 - 64.79% 91,241$1,368,618$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
674,736$ 1,808,350$ 1,808,350$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,370$ 674,736$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,372,271$ 122 9,370$ 1,143,140$




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