Connexion

Comets
GP: 10 | W: 6 | L: 3 | OTL: 1 | P: 13
GF: 45 | GA: 42 | PP%: 25.71% | PK%: 70.59%
DG: Mathieu Desjardins | Morale : 50 | Moyenne d’équipe : 68
Prochain matchs #174 vs Phantoms
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Centre de jeu
Wolf Pack
9-1-1, 19pts
7
FINAL
3 Comets
6-3-1, 13pts
Team Stats
W1StreakSOL1
5-0-0Home Record4-1-0
4-1-1Away Record2-2-1
8-1-1Last 10 Games6-3-1
5.27Buts par match 4.50
3.27Buts contre par match 4.20
25.00%Pourcentage en avantage numérique25.71%
68.75%Pourcentage en désavantage numérique70.59%
Comets
6-3-1, 13pts
5
FINAL
6 Wolf Pack
9-1-1, 19pts
Team Stats
SOL1StreakW1
4-1-0Home Record5-0-0
2-2-1Away Record4-1-1
6-3-1Last 10 Games8-1-1
4.50Buts par match 5.27
4.20Buts contre par match 3.27
25.71%Pourcentage en avantage numérique25.00%
70.59%Pourcentage en désavantage numérique68.75%
Phantoms
5-2-3, 13pts
2022-08-03
Comets
6-3-1, 13pts
Statistiques d’équipe
W3SéquenceSOL1
3-0-2Fiche domicile4-1-0
2-2-1Fiche visiteur2-2-1
5-2-310 derniers matchs6-3-1
4.20Buts par match 4.50
4.40Buts contre par match 4.20
15.63%Pourcentage en avantage numérique25.71%
76.67%Pourcentage en désavantage numérique70.59%
Comets
6-3-1, 13pts
2022-08-05
Bears
4-4-2, 10pts
Statistiques d’équipe
SOL1SéquenceL2
4-1-0Fiche domicile3-1-1
2-2-1Fiche visiteur1-3-1
6-3-110 derniers matchs4-4-2
4.50Buts par match 3.90
4.20Buts contre par match 4.30
25.71%Pourcentage en avantage numérique17.50%
70.59%Pourcentage en désavantage numérique86.67%
Bears
4-4-2, 10pts
2022-08-06
Comets
6-3-1, 13pts
Statistiques d’équipe
L2SéquenceSOL1
3-1-1Fiche domicile4-1-0
1-3-1Fiche visiteur2-2-1
4-4-210 derniers matchs6-3-1
3.90Buts par match 4.50
4.30Buts contre par match 4.20
17.50%Pourcentage en avantage numérique25.71%
86.67%Pourcentage en désavantage numérique70.59%
Meneurs d'équipe
Victoires
Kasimir Kaskisuo
6
Pourcentage d’arrêts
Kasimir Kaskisuo
0.897

Statistiques d’équipe
Buts pour
45
4.50 GFG
Tirs pour
398
39.80 Avg
Pourcentage en avantage numérique
25.7%
9 GF
Début de zone offensive
39.6%
Buts contre
42
4.20 GAA
Tirs contre
397
39.70 Avg
Pourcentage en désavantage numérique
70.6%
10 GA
Début de la zone défensive
40.5%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 55
Espoirs26


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
1Matt Boldy0X100.005836847381887975627471647661620507402143,274,000$
2Juho Lammikko0X100.006836946379778964806163756266670507102614,600,000$
3Dryden Hunt0X100.008641826373848764596562606467680507002612,165,000$
4Adam Gaudette0X100.006037916372788565776362586667690506802522,600,000$
5Chase De Leo0X100.005839866468878263776261656271660506802621,002,000$
6Sam Anas0X100.00613589646193916374666157646971050680291800,000$
7Samuel Fagemo0X100.00633785627485866358606265676264050680221910,833$
8Roby Jarventie0X100.00683681647781956357625958656163050680203894,167$
9Brandon Baddock0X100.00858076558772815654575859566769050670271755,000$
10Jake Lucchini0X100.005736846069859159626158556067690506602711,678,000$
11Connor Zary0X100.007139756270798160645861576261630506602031,005,000$
12Nicholas Caamano0X100.00794489637255785444585864254545050640231850,000$
13Chris Wideman0X100.006336777266857968307663585372750507103231,654,000$
14Andy Welinski0X100.00673989637884686230615558516972050670291750,000$
15Helge Grans0X100.00783982568771845730595663516263050670203902,500$
16Dillon Simpson0X100.00723893578169895630575658486974050660291750,000$
17Keaton Middleton0X100.00844566579968745630555457506466050660242900,000$
18Nick DeSimone0X100.00683989587877895730625258466870050660271971,000$
Rayé
1Devante Smith-Pelly0X100.00703892547961765551565758537072050640301750,000$
2Owen Sillinger0X100.00583693596779615866615755586567050630241750,000$
3Roland McKeown0X100.00673874587670895430595355466668050640262999,999$
4Ryan Shea0X100.006438895873658957306252564665670506402521,000,000$
5Drew Helleson0X100.00723893528162615130535055456163050610213925,000$
MOYENNE D’ÉQUIPE100.0069408561767682605061585955656705067
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 Kaskisuo100.0076868584757476757476757783050790281750,000$
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
1Nicholas CaamanoComets (NJD)RW10771468028112461629.17%016916.98134424000001129.17%2400001.6500000112
2Juho LammikkoComets (NJD)LW106814620122145133813.33%820320.3422410250001250154.55%3300001.3802000121
3Adam GaudetteComets (NJD)C1021113600530327126.25%117217.24033825000000153.54%25400001.5100000100
4Matt BoldyComets (NJD)LW107613-400192263103511.11%321021.031348280001260043.55%6200001.2402000200
5Chase De LeoComets (NJD)C103811-32012363113209.68%420720.700225280000251053.11%27300001.0602000010
6Andy WelinskiComets (NJD)D103690408142371013.04%1824524.513251528000027000.00%000000.7300000001
7Sam AnasComets (NJD)RW10268-440892710247.41%117617.60213828000001047.06%1700000.9100000000
8Chris WidemanComets (NJD)D10257540510174911.76%618218.21000823000013000.00%000000.7700000101
9Dryden HuntComets (NJD)LW1033600012112361913.04%714914.96000000000261025.42%5900000.8002000000
10Keaton MiddletonComets (NJD)D10055-110025810640.00%1519619.62011426000020000.00%000000.5100000001
11Brandon BaddockComets (NJD)LW102242001621421414.29%1838.3700000000000050.00%400000.9600000010
12Helge GransComets (NJD)D10224522032794422.22%2824324.39000225000019000.00%000000.3300000000
13Roby JarventieComets (NJD)LW10224-100514264167.69%211811.8700000000000137.50%800000.6712000000
14Dillon SimpsonComets (NJD)D9033040653030.00%1213915.510000000002000.00%000000.4300000000
15Jake LucchiniComets (NJD)LW1012320002135157.69%0848.4600000000021055.56%900000.7100000000
16Samuel FagemoComets (NJD)LW10123200181051110.00%3838.3300000000000033.33%10800000.7212000000
17Connor ZaryComets (NJD)C10123-100617211104.76%311711.7900000000000046.85%14300000.5100000000
18Nick DeSimoneComets (NJD)D10022-1601267240.00%1918418.4300004000021000.00%000000.2200000000
19Roland McKeownComets (NJD)D1000-100000100.00%11919.820000000001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne18044821261866021223339810626411.06%132298716.60917267226900022115447.18%99400000.84212000656
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)106310.8973.9957220383690100.83312100011
2Lukas DostalComets (NJD)10000.8934.3941003280000.0000010000
Statistiques d’équipe totales ou en moyenne116310.8974.0161320413970100.833121010011


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
Adam GaudetteComets (NJD)C251996-10-03No175 Lbs6 ft1NoNoNo2Pro & Farm2,600,000$2,600,000$2,600,000$0$0$No2,600,000$Lien
Andy WelinskiComets (NJD)D291993-04-27No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Brandon BaddockComets (NJD)LW271995-03-29No218 Lbs6 ft3NoNoNo1Pro & Farm755,000$755,000$755,000$0$0$NoLien
Chase De LeoComets (NJD)C261995-10-25No186 Lbs5 ft9NoNoNo2Pro & Farm1,002,000$1,002,000$1,242,500$0$0$No1,002,000$Lien
Chris WidemanComets (NJD)D321990-01-07No180 Lbs5 ft10NoNoNo3Pro & Farm1,654,000$1,654,000$1,357,250$0$0$No1,504,000$1,354,000$Lien
Connor ZaryComets (NJD)C202001-09-25No178 Lbs6 ft0NoNoNo3Pro & Farm1,005,000$1,005,000$700,000$0$0$No1,005,000$1,005,000$Lien
Devante Smith-PellyComets (NJD)RW301992-06-14No223 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Dillon SimpsonComets (NJD)D291993-02-10No204 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Drew HellesonComets (NJD)D212001-03-26No190 Lbs6 ft3NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Dryden HuntComets (NJD)LW261995-11-24No192 Lbs6 ft0NoNoNo1Pro & Farm2,165,000$2,165,000$750,000$0$0$NoLien
Helge GransComets (NJD)D202002-05-10No205 Lbs6 ft4NoNoNo3Pro & Farm902,500$902,500$700,000$0$0$No902,500$902,500$Lien
Jake LucchiniComets (NJD)LW271995-05-09No183 Lbs5 ft11NoNoNo1Pro & Farm1,678,000$1,678,000$1,346,812$0$0$NoLien
Juho LammikkoComets (NJD)LW261996-01-29No191 Lbs6 ft2NoNoNo1Pro & Farm4,600,000$4,600,000$4,600,000$0$0$NoLien
Kasimir KaskisuoComets (NJD)G281993-10-02No203 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Keaton MiddletonComets (NJD)D241998-02-10No240 Lbs6 ft6NoNoNo2Pro & Farm900,000$900,000$900,000$0$0$No900,000$Lien
Lukas DostalComets (NJD)G222000-06-22No174 Lbs6 ft2NoNoNo1Pro & Farm910,833$910,833$910,833$0$0$NoLien
Matt BoldyComets (NJD)LW212001-04-05No201 Lbs6 ft2NoNoNo4Pro & Farm3,274,000$3,274,000$2,884,200$0$0$No3,274,000$3,274,000$3,274,000$Lien
Nicholas CaamanoComets (NJD)RW231998-10-07No194 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$850,000$0$0$NoLien
Nick DeSimoneComets (NJD)D271994-11-21No190 Lbs6 ft2NoNoNo1Pro & Farm971,000$971,000$650,000$0$0$NoLien
Owen SillingerComets (NJD)C241997-09-23No183 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Roby JarventieComets (NJD)LW202002-09-08No184 Lbs6 ft2NoNoNo3Pro & Farm894,167$894,167$700,000$0$0$No894,167$894,167$Lien
Roland McKeownComets (NJD)D261996-01-20No195 Lbs6 ft1NoNoNo2Pro & Farm999,999$999,999$999,999$0$0$No999,999$Lien
Ryan SheaComets (NJD)D251997-02-11No177 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Sam AnasComets (NJD)RW291993-06-01No163 Lbs5 ft8NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Samuel FagemoComets (NJD)LW222000-03-14No200 Lbs6 ft0NoNoNo1Pro & Farm910,833$910,833$910,833$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.16193 Lbs6 ft11.721,301,893$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt BoldyChase De LeoSam Anas30122
2Juho LammikkoAdam GaudetteNicholas Caamano30122
3Dryden HuntConnor ZaryRoby Jarventie24122
4Brandon BaddockSamuel FagemoJake Lucchini16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanHelge Grans30122
2Andy WelinskiKeaton Middleton30122
3Nick DeSimoneDillon Simpson24122
4Andy WelinskiHelge Grans16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt BoldyChase De LeoSam Anas50122
2Juho LammikkoAdam GaudetteNicholas Caamano50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanHelge Grans50122
2Andy WelinskiKeaton Middleton50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matt BoldyJuho Lammikko50122
2Dryden HuntChase De Leo50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick DeSimoneHelge Grans50122
2Andy WelinskiKeaton Middleton50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Boldy50122Nick DeSimoneHelge Grans50122
2Juho Lammikko50122Andy WelinskiKeaton Middleton50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt BoldyJuho Lammikko50122
2Dryden HuntChase De Leo50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanHelge Grans50122
2Andy WelinskiKeaton Middleton50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt BoldyChase De LeoSam AnasChris WidemanHelge Grans
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt BoldyChase De LeoSam AnasChris WidemanHelge Grans
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Fagemo, Brandon Baddock, Jake LucchiniSamuel Fagemo, Brandon BaddockJake Lucchini
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick DeSimone, Helge Grans, Andy WelinskiNick DeSimoneHelge Grans, Andy Welinski
Tirs de pénalité
Matt Boldy, Juho Lammikko, Dryden Hunt, Chase De Leo, Roby Jarventie
Gardien
#1 : Kasimir Kaskisuo, #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
Matt Boldy, Juho Lammikko, Dryden Hunt, Chase De Leo, Roby Jarventie, Adam Gaudette, Adam Gaudette, Sam Anas, Samuel Fagemo, Brandon Baddock, Jake Lucchini
Lignes de défense personnalisées en prolongation
Chris Wideman, Helge Grans, Andy Welinski, Keaton Middleton, Nick DeSimone


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
1Islanders11000000725110000007250000000000021.00071219001612153381391191242829100203266.67%000.00%019638451.04%18239246.43%9119347.15%2331612527612761
2Monsters210000101073100000104311100000064241.0001017270016121538113911912428962714384125.00%7271.43%019638451.04%18239246.43%9119347.15%2331612527612761
3Phantoms1010000024-2000000000001010000024-200.000246001612153291391191242834121225200.00%6266.67%019638451.04%18239246.43%9119347.15%2331612527612761
4W-B/Scranton Penguins220000001064110000003211100000074341.0001020300016121537313911912428602210489111.11%5180.00%019638451.04%18239246.43%9119347.15%2331612527612761
5Wolf Pack20100001813-51010000037-41000000156-110.250814220016121537913911912428892114398337.50%7357.14%019638451.04%18239246.43%9119347.15%2331612527612761
6Wolves20101000810-2100010006511010000025-320.500815230016121539813911912428894018429222.22%9277.78%019638451.04%18239246.43%9119347.15%2331612527612761
Total104301011454235210101023194522000012223-1130.6504582127001612153398139119124283971326821235925.71%341070.59%019638451.04%18239246.43%9119347.15%2331612527612761
_Since Last GM Reset104301011454235210101023194522000012223-1130.6504582127001612153398139119124283971326821235925.71%341070.59%019638451.04%18239246.43%9119347.15%2331612527612761
_Vs Conference104301011454235210101023194522000012223-1130.6504582127001612153398139119124283971326821235925.71%341070.59%019638451.04%18239246.43%9119347.15%2331612527612761
_Vs Division104301011454235210101023194522000012223-1130.6504582127001612153398139119124283971326821235925.71%341070.59%019638451.04%18239246.43%9119347.15%2331612527612761

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1013SOL145821273983971326821200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104310114542
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52110102319
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52200012223
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
35925.71%341070.59%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
139119124281612153
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
19638451.04%18239246.43%9119347.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2331612527612761


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 - 2022-07-1712Comets6Monsters4AWSommaire du match
2 - 2022-07-1818Monsters3Comets4BWXXSommaire du match
4 - 2022-07-2043Wolves5Comets6BWXSommaire du match
6 - 2022-07-2253Comets2Wolves5ALSommaire du match
7 - 2022-07-2369W-B/Scranton Penguins2Comets3BWSommaire du match
9 - 2022-07-2589Comets7W-B/Scranton Penguins4AWSommaire du match
10 - 2022-07-26102Comets2Phantoms4ALSommaire du match
12 - 2022-07-28121Islanders2Comets7BWSommaire du match
14 - 2022-07-30141Wolf Pack7Comets3BLSommaire du match
16 - 2022-08-01157Comets5Wolf Pack6ALXXSommaire du match
18 - 2022-08-03174Phantoms-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05197Comets-Bears-
21 - 2022-08-06203Bears-Comets-
22 - 2022-08-07218Comets-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets155
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,254,733$ 2,910,742$ 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
0$ 8 0$ 0$




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


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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