Connexion

Comets
GP: 19 | W: 4 | L: 13 | OTL: 2 | P: 10
GF: 59 | GA: 80 | PP%: 20.31% | PK%: 78.38%
DG: Mathieu Desjardins | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #311 vs W-B/Scranton Penguins
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Centre de jeu
Barracuda
7-9-2, 16pts
3
FINAL
2 Comets
4-13-2, 10pts
Team Stats
W2StreakL3
3-6-1Home Record3-7-0
4-3-1Away Record1-6-2
2-6-2Last 10 Games2-7-1
2.94Buts par match 3.11
3.56Buts contre par match 4.21
26.67%Pourcentage en avantage numérique20.31%
79.69%Pourcentage en désavantage numérique78.38%
Wolves
13-5-1, 27pts
4
FINAL
3 Comets
4-13-2, 10pts
Team Stats
W3StreakL3
7-2-0Home Record3-7-0
6-3-1Away Record1-6-2
6-3-1Last 10 Games2-7-1
3.95Buts par match 3.11
3.63Buts contre par match 4.21
18.31%Pourcentage en avantage numérique20.31%
86.96%Pourcentage en désavantage numérique78.38%
Comets
4-13-2, 10pts
2022-11-29
W-B/Scranton Penguins
7-11-1, 15pts
Statistiques d’équipe
L3SéquenceL1
3-7-0Fiche domicile3-5-1
1-6-2Fiche visiteur4-6-0
2-7-110 derniers matchs4-6-0
3.11Buts par match 3.16
4.21Buts contre par match 4.26
20.31%Pourcentage en avantage numérique25.00%
78.38%Pourcentage en désavantage numérique78.08%
Comets
4-13-2, 10pts
2022-12-01
Bears
10-9-1, 21pts
Statistiques d’équipe
L3SéquenceL2
3-7-0Fiche domicile5-4-0
1-6-2Fiche visiteur5-5-1
2-7-110 derniers matchs5-5-0
3.11Buts par match 3.40
4.21Buts contre par match 3.30
20.31%Pourcentage en avantage numérique21.92%
78.38%Pourcentage en désavantage numérique76.92%
Comets
4-13-2, 10pts
2022-12-03
Monsters
9-7-2, 20pts
Statistiques d’équipe
L3SéquenceW1
3-7-0Fiche domicile6-4-0
1-6-2Fiche visiteur3-3-2
2-7-110 derniers matchs5-4-1
3.11Buts par match 3.78
4.21Buts contre par match 3.89
20.31%Pourcentage en avantage numérique18.33%
78.38%Pourcentage en désavantage numérique71.93%
Meneurs d'équipe
Buts
Mason McTavish
9
Passes
Mason McTavish
6
Points
Mason McTavish
15
Plus/Moins
Mason McTavish
-1
Victoires
Kasimir Kaskisuo
4
Pourcentage d’arrêts
Lukas Dostal
0.9

Statistiques d’équipe
Buts pour
59
3.11 GFG
Tirs pour
747
39.32 Avg
Pourcentage en avantage numérique
20.3%
13 GF
Début de zone offensive
42.4%
Buts contre
80
4.21 GAA
Tirs contre
699
36.79 Avg
Pourcentage en désavantage numérique
78.4%
16 GA
Début de la zone défensive
39.7%
Information d’équipe

Directeur généralMathieu Desjardins
EntraîneurDallas Eakins
DivisionMETROPOLITAINE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,999
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 55
Espoirs25


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
1Chase De Leo0X96.005839866468878263776261656271660506802721,002,000$
2Samuel Fagemo0X100.00633785627485866358606265676264050680221910,833$
3Roby Jarventie0X100.00683681647781956357625958656163050680203894,167$
4Brandon Baddock0X100.00858076558772815654575859566769050660271755,000$
5Connor Zary0X100.007139756270798160645861576261630506602131,005,000$
6Jake Lucchini0X100.005736846069859159626158556067690506502711,678,000$
7Nicholas Caamano0X100.00794489637255785444585864254545050640241850,000$
8Devante Smith-Pelly0X100.00703892547961765551565758537072050630301750,000$
9Andy Welinski0X100.00673989637884686230615558516972050660291750,000$
10Keaton Middleton0X100.00844566579968745630555457506466050660242900,000$
11Helge Grans0X100.00783982568771845730595663516263050660203902,500$
12Nick DeSimone0X100.00683989587877895730625258466870050660281971,000$
13Dillon Simpson0X100.00723893578169895630575658486974050650291750,000$
14Roland McKeown0X100.00673874587670895430595355466668050640262999,999$
15Ryan Shea0X100.006438895873658957306252564665670506402521,000,000$
16Drew Helleson0X100.00723893528162615130535055456163050600213925,000$
Rayé
1Juho Lammikko0X100.006836946379778964806163756266670507002614,600,000$
2Josh Leivo0X100.00683988667981836663646761666972050700291950,000$
3Sam Anas0X100.00613589646193916374666157646971050680291800,000$
4Pontus Aberg0X60.26643889667385646268675558646971050660291850,000$
5Owen Sillinger0X100.00583693596779615866615755586567050630251750,000$
MOYENNE D’ÉQUIPE97.9069408660777681595060575955656705066
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
1Kasimir Kaskisuo100.0076868584757476757476757783050790291750,000$
2Lukas Dostal100.0075787775747375747375746267050750221910,833$
Rayé
MOYENNE D’ÉQUIPE100.007682818075747675747675707505077
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins81827981827766USA5550$


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
1Mason McTavishDevilsC139615-110025367393812.33%226820.671127250111291044.15%26500001.1200000210
2Samuel FagemoComets (NJD)LW1931013-120021298324503.61%836819.371348300001300041.46%8200000.7111000100
3Juho LammikkoComets (NJD)LW144812-5207335611347.14%927519.7021310220114380045.31%6400000.8700000110
4Connor ZaryComets (NJD)C194812-1015548544713238.51%434818.322359410000130047.52%46300000.6900100010
5Roby JarventieComets (NJD)LW18571212019275820378.62%729116.191018220000100150.00%11600000.8200000100
6Sam AnasComets (NJD)RW194610-6401012468268.70%327414.430229260000190062.50%3200000.7301000000
7Josh LeivoComets (NJD)LW183710-24019306126484.92%530617.0202210340000201045.45%9900000.6501000001
8Andy WelinskiComets (NJD)D19459-1010024162792514.81%2539720.921341343101147000.00%000000.4500000000
9Brandon BaddockComets (NJD)LW1927902806432498324.08%433017.41000213000090042.76%28300000.5400000002
10Dillon SimpsonComets (NJD)D19358-144017152451612.50%1733717.741121033000035000.00%000000.4700000000
11Dryden HuntDevilsLW15358-817530285612355.36%428118.800118320001260044.35%12400000.5700010000
12Chase De LeoComets (NJD)C17257-3005263117246.45%321012.351015170000180056.15%24400000.6711000000
13Helge GransComets (NJD)D19347120051242561812.00%3639921.051231249000049000.00%000000.3500000000
14Nick DeSimoneComets (NJD)D19257-1402210184611.11%2033017.42011618000025100.00%000000.4200000000
15Keaton MiddletonComets (NJD)D19246-1224059921599.52%3141021.612241151000149000.00%000000.2900000000
16Roland McKeownComets (NJD)D14055-1801699540.00%1614710.530000000005000.00%000000.6800000000
17Ryan SheaComets (NJD)D1505531001367260.00%2024016.06000210000024000.00%000000.4200000000
18Nicholas CaamanoComets (NJD)RW11314-6208102391413.04%411510.4600015000070023.53%1700000.7000000000
19Devante Smith-PellyComets (NJD)RW13213-420581941310.53%016612.79011320000070060.00%2000000.3600000000
20Pontus AbergComets (NJD)RW1011000225120.00%01212.800111100000000.00%000001.5600000000
21Jake LucchiniComets (NJD)LW19011000349170.00%1502.67000616000070041.67%1200000.3900000000
22Drew HellesonComets (NJD)D3000-200100010.00%2217.110000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne34258106164-92166104694207471994687.76%221558516.3313243714151912394763147.06%182100000.5924110533
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
1Kasimir KaskisuoComets (NJD)1941220.8864.12110600766680010.7504190002
2Lukas DostalComets (NJD)10100.9005.0036003300000.0000019000
Statistiques d’équipe totales ou en moyenne2041320.8874.15114200796980010.75041919002


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Andy WelinskiComets (NJD)D291993-04-27No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Brandon BaddockComets (NJD)LW271995-03-29No218 Lbs6 ft3NoNoNo1Pro & Farm755,000$580,456$755,000$0$0$NoLien
Chase De LeoComets (NJD)C271995-10-25No186 Lbs5 ft9NoNoNo2Pro & Farm1,002,000$770,354$1,242,500$0$0$No1,002,000$Lien
Connor ZaryComets (NJD)C212001-09-25No178 Lbs6 ft0NoNoNo3Pro & Farm1,005,000$772,661$700,000$0$0$No1,005,000$1,005,000$Lien
Devante Smith-PellyComets (NJD)RW301992-06-14No223 Lbs6 ft0NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Dillon SimpsonComets (NJD)D291993-02-10No204 Lbs6 ft2NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Drew HellesonComets (NJD)D212001-03-26No190 Lbs6 ft3NoNoNo3Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$Lien
Helge GransComets (NJD)D202002-05-10No205 Lbs6 ft4NoNoNo3Pro & Farm902,500$693,857$700,000$0$0$No902,500$902,500$Lien
Jake LucchiniComets (NJD)LW271995-05-09No183 Lbs5 ft11NoNoNo1Pro & Farm1,678,000$1,290,075$1,346,812$0$0$NoLien
Josh LeivoComets (NJD)LW291993-05-26No192 Lbs6 ft2NoNoNo1Pro & Farm950,000$730,376$525,000$0$0$NoLien
Juho LammikkoComets (NJD)LW261996-01-29No191 Lbs6 ft2NoNoNo1Pro & Farm4,600,000$3,536,559$4,600,000$0$0$NoLien
Kasimir KaskisuoComets (NJD)G291993-10-02No203 Lbs6 ft3NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Keaton MiddletonComets (NJD)D241998-02-10No240 Lbs6 ft6NoNoNo2Pro & Farm900,000$691,935$900,000$0$0$No900,000$Lien
Lukas DostalComets (NJD)G222000-06-22No174 Lbs6 ft2NoNoNo1Pro & Farm910,833$700,264$910,833$0$0$NoLien
Nicholas CaamanoComets (NJD)RW241998-10-07No194 Lbs6 ft2NoNoNo1Pro & Farm850,000$653,494$850,000$0$0$NoLien
Nick DeSimoneComets (NJD)D281994-11-21No190 Lbs6 ft2NoNoNo1Pro & Farm971,000$746,521$650,000$0$0$NoLien
Owen SillingerComets (NJD)C251997-09-23No183 Lbs5 ft10NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Pontus Aberg (sur la masse salariale)Comets (NJD)RW291993-09-23No194 Lbs6 ft0NoNoNo1Pro & Farm850,000$653,494$850,000$0$0$YesLien
Roby JarventieComets (NJD)LW202002-09-08No184 Lbs6 ft2NoNoNo3Pro & Farm894,167$687,450$700,000$0$0$No894,167$894,167$Lien
Roland McKeownComets (NJD)D261996-01-20No195 Lbs6 ft1NoNoNo2Pro & Farm999,999$768,816$999,999$0$0$No999,999$Lien
Ryan SheaComets (NJD)D251997-02-11No177 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$768,817$1,000,000$0$0$No1,000,000$Lien
Sam AnasComets (NJD)RW291993-06-01No163 Lbs5 ft8NoNoNo1Pro & Farm800,000$615,053$800,000$0$0$NoLien
Samuel FagemoComets (NJD)LW222000-03-14No200 Lbs6 ft0NoNoNo1Pro & Farm910,833$700,264$910,833$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.61194 Lbs6 ft11.521,071,927$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase De Leo30122
2Samuel FagemoConnor ZaryNicholas Caamano30122
3Roby JarventieBrandon BaddockDevante Smith-Pelly24122
4Brandon Baddock16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick DeSimoneKeaton Middleton30122
2Andy WelinskiHelge Grans30122
3Dillon SimpsonRyan Shea24122
4Roland McKeownDrew Helleson16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase De Leo50122
2Samuel FagemoConnor ZaryNicholas Caamano50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick DeSimoneKeaton Middleton50122
2Andy WelinskiHelge Grans50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Chase De LeoSamuel Fagemo50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick DeSimoneKeaton Middleton50122
2Andy WelinskiHelge Grans50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Nick DeSimoneKeaton Middleton50122
250122Andy WelinskiHelge Grans50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Chase De LeoSamuel Fagemo50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick DeSimoneKeaton Middleton50122
2Andy WelinskiHelge Grans50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chase De LeoNick DeSimoneKeaton Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chase De LeoNick DeSimoneKeaton Middleton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Lucchini, Roby Jarventie, Devante Smith-PellyJake Lucchini, Roby JarventieDevante Smith-Pelly
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dillon Simpson, Ryan Shea, Roland McKeownDillon SimpsonRyan Shea, Roland McKeown
Tirs de pénalité
, , Chase De Leo, Samuel Fagemo, Roby Jarventie
Gardien
#1 : Kasimir Kaskisuo, #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
, , Chase De Leo, Samuel Fagemo, Roby Jarventie, Brandon Baddock, Brandon Baddock, Connor Zary, Jake Lucchini, Nicholas Caamano, Devante Smith-Pelly
Lignes de défense personnalisées en prolongation
Nick DeSimone, Keaton Middleton, Andy Welinski, Helge Grans, Dillon Simpson


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
1Barracuda1010000023-11010000023-10000000000000.00023500291811241260244236113196214250.00%3166.67%035477045.97%33972147.02%16432450.62%440296457140248121
2Bears30300000612-62020000047-31010000025-300.00061117002918112135260244236111062826821516.67%12466.67%035477045.97%33972147.02%16432450.62%440296457140248121
3Griffins1010000057-2000000000001010000057-200.0005914002918112332602442361144148214125.00%4250.00%035477045.97%33972147.02%16432450.62%440296457140248121
4Monsters1010000035-2000000000001010000035-200.00036910291811240260244236113094306233.33%2150.00%035477045.97%33972147.02%16432450.62%440296457140248121
5Phantoms211000007701010000034-11100000043120.500713200029181129026024423611852410507457.14%5180.00%035477045.97%33972147.02%16432450.62%440296457140248121
6W-B/Scranton Penguins21100000651110000003121010000034-120.50061117002918112622602442361168231846300.00%9188.89%035477045.97%33972147.02%16432450.62%440296457140248121
7Wolf Pack40400000820-1220200000410-620200000410-600.00081523002918112146260244236111525235891119.09%14285.71%035477045.97%33972147.02%16432450.62%440296457140248121
8Wolves301001101213-1201000109901000010034-130.500121931002918112109260244236111123932848112.50%15380.00%035477045.97%33972147.02%16432450.62%440296457140248121
9islanders210001001082110000007431000010034-130.7501019290029181129126024423611712327466116.67%10190.00%135477045.97%33972147.02%16432450.62%440296457140248121
Total19313002105980-211027000103238-6916002002742-15100.2635910616510291811274726024423611699221166469641320.31%741678.38%135477045.97%33972147.02%16432450.62%440296457140248121
_Since Last GM Reset19313002105980-211027000103238-6916002002742-15100.2635910616510291811274726024423611699221166469641320.31%741678.38%135477045.97%33972147.02%16432450.62%440296457140248121
_Vs Conference18312002105777-20926000103035-5916002002742-15100.2785710316010291811270626024423611668212160448601118.33%711578.87%135477045.97%33972147.02%16432450.62%440296457140248121
_Vs Division17311002105270-18926000103035-5815002002235-13100.294529414610291811267326024423611624198152427561017.86%671380.60%135477045.97%33972147.02%16432450.62%440296457140248121

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1910L35910616574769922116646910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1931302105980
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
102700103238
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
91602002742
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641320.31%741678.38%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
260244236112918112
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
35477045.97%33972147.02%16432450.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
440296457140248121


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
1 - 2022-10-162Comets4Phantoms3AWSommaire du match
3 - 2022-10-1822W-B/Scranton Penguins1Comets3BWSommaire du match
4 - 2022-10-1935Comets1Wolf Pack4ALSommaire du match
6 - 2022-10-2152Bears3Comets2BLSommaire du match
9 - 2022-10-2465Comets3Monsters5ALSommaire du match
11 - 2022-10-2680Comets3Wolf Pack6ALSommaire du match
13 - 2022-10-2892Comets3islanders4ALXSommaire du match
14 - 2022-10-2997Wolf Pack7Comets2BLSommaire du match
20 - 2022-11-04126Phantoms4Comets3BLSommaire du match
21 - 2022-11-05145Comets3Wolves4ALXSommaire du match
23 - 2022-11-07156Wolf Pack3Comets2BLSommaire du match
25 - 2022-11-09169Comets3W-B/Scranton Penguins4ALSommaire du match
28 - 2022-11-12189islanders4Comets7BWSommaire du match
31 - 2022-11-15213Bears4Comets2BLSommaire du match
33 - 2022-11-17224Comets2Bears5ALSommaire du match
37 - 2022-11-21248Wolves5Comets6BWXXSommaire du match
38 - 2022-11-22264Comets5Griffins7ALSommaire du match
40 - 2022-11-24276Barracuda3Comets2BLSommaire du match
43 - 2022-11-27299Wolves4Comets3BLSommaire du match
45 - 2022-11-29311Comets-W-B/Scranton Penguins-
47 - 2022-12-01318Comets-Bears-
49 - 2022-12-03334Comets-Monsters-
50 - 2022-12-04346Griffins-Comets-
52 - 2022-12-06364Comets-Wolves-
55 - 2022-12-09377W-B/Scranton Penguins-Comets-
58 - 2022-12-12398Comets-Silver Knights-
59 - 2022-12-13408Monsters-Comets-
62 - 2022-12-16423Comets-Monsters-
63 - 2022-12-17436Monsters-Comets-
65 - 2022-12-19460Bears-Comets-
68 - 2022-12-22477Comets-Rockets-
74 - 2022-12-28500Wolf Pack-Comets-
76 - 2022-12-30514Comets-Providence Bruins-
78 - 2023-01-01528Wolf Pack-Comets-
80 - 2023-01-03547Comets-Gulls-
84 - 2023-01-07562Comets-Binghamton Senateurs-
85 - 2023-01-08571Phantoms-Comets-
88 - 2023-01-11594islanders-Comets-
90 - 2023-01-13609Comets-Wolf Pack-
91 - 2023-01-14624Wolf Pack-Comets-
93 - 2023-01-16646Comets-Marlies-
94 - 2023-01-17656Comets-Binghamton Senateurs-
96 - 2023-01-19664Monsters-Comets-
99 - 2023-01-22686Iowa Wild-Comets-
101 - 2023-01-24702Comets-Wolf Pack-
102 - 2023-01-25714Comets-Crunch-
103 - 2023-01-26728Crunch-Comets-
105 - 2023-01-28740Comets-Marlies-
107 - 2023-01-30759Roadrunners-Comets-
109 - 2023-02-01780Rockets-Comets-
112 - 2023-02-04795Comets-Canucks-
114 - 2023-02-06808Comets-Thunderbirds-
116 - 2023-02-08821Comets-Phantoms-
117 - 2023-02-09828Checkers-Comets-
121 - 2023-02-13857W-B/Scranton Penguins-Comets-
123 - 2023-02-15875Comets-Checkers-
126 - 2023-02-18885Comets-Wolves-
127 - 2023-02-19892Marlies-Comets-
129 - 2023-02-21912Comets-islanders-
130 - 2023-02-22923Americans-Comets-
132 - 2023-02-24938Comets-W-B/Scranton Penguins-
136 - 2023-02-28956IceHogs-Comets-
138 - 2023-03-02981Comets-Americans-
139 - 2023-03-03988Firebirds-Comets-
142 - 2023-03-061001Comets-Phantoms-
144 - 2023-03-081014Comets-Eagles-
145 - 2023-03-091023Phantoms-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131053Wolves-Comets-
152 - 2023-03-161078Comets-islanders-
153 - 2023-03-171086Admirals-Comets-
157 - 2023-03-211113Providence Bruins-Comets-
158 - 2023-03-221121Comets-Condors-
161 - 2023-03-251136Comets-Moose-
163 - 2023-03-271149Binghamton Senateurs-Comets-
166 - 2023-03-301177Texas Stars-Comets-
171 - 2023-04-041205Barracuda-Comets-
174 - 2023-04-071226Reign-Comets-
175 - 2023-04-081235Comets-Wranglers-
179 - 2023-04-121261islanders-Comets-
181 - 2023-04-141284islanders-Comets-
183 - 2023-04-161297Comets-Wranglers-
184 - 2023-04-171310Comets-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets155
Assistance20,0009,988
Assistance PCT100.00%99.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2999 - 99.96% 52,141$521,410$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,465,433$ 2,289,097$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,616,371$ 143 13,255$ 1,895,465$




Comets Leaders statistiques (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 (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