Connexion

Comets
GP: 48 | W: 20 | L: 25 | OTL: 3 | P: 43
GF: 130 | GA: 147 | PP%: 21.33% | PK%: 79.59%
DG: | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #787 vs Bears
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Centre de jeu
Comets
20-25-3, 43pts
2
FINAL
3 PenguinsF
28-18-3, 59pts
Team Stats
L3SéquenceL1
10-12-3Fiche domicile14-7-3
10-13-0Fiche domicile14-11-0
4-5-1Derniers 10 matchs4-5-1
2.71Buts par match 3.67
3.06Buts contre par match 3.22
21.33%Pourcentage en avantage numérique29.25%
79.59%Pourcentage en désavantage numérique75.17%
Bears
31-18-0, 62pts
3
FINAL
2 Comets
20-25-3, 43pts
Team Stats
W1SéquenceL3
17-7-0Fiche domicile10-12-3
14-11-0Fiche domicile10-13-0
6-4-0Derniers 10 matchs4-5-1
2.80Buts par match 2.71
2.71Buts contre par match 3.06
15.54%Pourcentage en avantage numérique21.33%
83.01%Pourcentage en désavantage numérique79.59%
Comets
20-25-3, 43pts
2023-12-09
Bears
31-18-0, 62pts
Statistiques d’équipe
L3SéquenceW1
10-12-3Fiche domicile17-7-0
10-13-0Fiche visiteur14-11-0
4-5-110 derniers matchs6-4-0
2.71Buts par match 2.80
3.06Buts contre par match 2.80
21.33%Pourcentage en avantage numérique15.54%
79.59%Pourcentage en désavantage numérique83.01%
Bears
31-18-0, 62pts
2023-12-11
Comets
20-25-3, 43pts
Statistiques d’équipe
W1SéquenceL3
17-7-0Fiche domicile10-12-3
14-11-0Fiche visiteur10-13-0
6-4-010 derniers matchs4-5-1
2.80Buts par match 2.71
2.71Buts contre par match 2.71
15.54%Pourcentage en avantage numérique21.33%
83.01%Pourcentage en désavantage numérique79.59%
Comets
20-25-3, 43pts
2023-12-13
PenguinsF
28-18-3, 59pts
Statistiques d’équipe
L3SéquenceL1
10-12-3Fiche domicile14-7-3
10-13-0Fiche visiteur14-11-0
4-5-110 derniers matchs4-5-1
2.71Buts par match 3.67
3.06Buts contre par match 3.67
21.33%Pourcentage en avantage numérique29.25%
79.59%Pourcentage en désavantage numérique75.17%
Meneurs d'équipe
Buts
Drake Caggiula
17
Passes
Grant Hutton
24
Points
Drake Caggiula
38
Plus/Moins
Drake Caggiula
17
Victoires
Lukas Dostal
13
Pourcentage d’arrêts
Lukas Dostal
0.906

Statistiques d’équipe
Buts pour
130
2.71 GFG
Tirs pour
1274
26.54 Avg
Pourcentage en avantage numérique
21.3%
32 GF
Début de zone offensive
39.1%
Buts contre
147
3.06 GAA
Tirs contre
1499
31.23 Avg
Pourcentage en désavantage numérique
79.6%%
30 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur général
EntraîneurBob Woods
DivisionDivision Atlantique
ConférenceConference 1
Capitaine
Assistant #1Sami Niku
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,473
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 55
Espoirs34


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
1Klim Kostin (R)X99.007565807273708374697273706755456049660243900,000$
2Nicholas MerkleyX100.006853887268767872687568706454516650660261900,000$
3Cory ConacherX100.0062449070677275716571686964646042526503321,250,000$
4Mark OlverX99.0089706576666875656963616662867833526503511,500,000$
5Drake CaggiulaX97.0068458770687687686570727277675653516502921,300,000$
6Mitchell StephensX97.006446917271747271737071736063506042650261750,000$
7Mikhail VorobyevX99.0060468875737389687567686866625064526402621,200,000$
8Connor HurleyX100.0068497172687167707172667062555057326302831,000,000$
9Samuel Poulin (R)X100.006445907271707068667070646445457040630223750,000$
10Max MccormickX100.006445887169716869636665706355465052620313900,000$
11Alexandre PicardX100.006145966873716568616665656352452452620383900,000$
12Taylor CammarataX100.006445817565686964656665646057515648620282800,000$
13Grant HuttonX100.0067468972747972734567707665534861526602821,700,000$
14Jordan SchmaltzX100.0061448870727276764572697556645850546603021,700,000$
15Alex BiegaX100.0074459771697467704564647260665134466503521,300,000$
16Chad RuhwedelX100.0067459074677584704569627364655045496503311,200,000$
17Andrej SustrX100.00614894697569847145706770656655463665N0332900,000$
18Sami Niku (A)X100.006246897266727468456866726064486044640271750,000$
Rayé
1Max ReinhartX100.0052409369686974676965676667686242316303111,000,000$
2Vladimir ZharkovX100.006342917071707269656765686257463420620351800,000$
3Alexander AvtsinX100.005639967074666567636465636246454720610321700,000$
4Cameron Morrison (R)X100.006445887273707066666463706045456020610253750,000$
5Ryan FitzgeraldX100.006544817367666863676360635851485520590292500,000$
6Steven KampferX100.0063459770707070694567667064614938206403531,200,000$
7Ty Smith (R)X100.006544907268707066456566725445457019630233750,000$
8Niklas HanssonX100.006345827171697366456669696060545420630282900,000$
9Brandon HickeyX100.006145847271686369456461695655485720620272800,000$
10Matt MurphyX100.006345887069665965456262636246455920600282800,000$
11Keaton ThompsonX100.006445797269676759456055665147465720590281750,000$
MOYENNE D’ÉQUIPE99.69654787727071736858676669625851523763
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
1Lukas Dostal (R)98.00798482798186828586845555457051660233900,000$
2Patrik Bartosak100.007070697676828180808281565748466403021,000,000$
Rayé
1Richard Bachman100.007273737275787977797882706333266403611,500,000$
2Eddie Lack100.00757473797775797777787545503826620352900,000$
MOYENNE D’ÉQUIPE99.5074757477778080808181735754473764
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods83636081999967CAN535100,000$


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
1Drake CaggiulaComets (NJ )LW4817213817605065118467614.41%690318.82411152411910141085044.74%30400000.8412000400
2Grant HuttonComets (NJ )D4892433-1046077599227519.78%53114123.784812401250001112000%000000.5801000312
3Klim KostinComets (NJ )C4611193023410817898288011.22%1886018.714610241071013762048.50%93400000.7012002111
4Jordan SchmaltzComets (NJ )D4852227-1114042527527396.67%61112623.47358381230000109100%000000.4800000012
5Andrej SustrComets (NJ )D3851621-110020335415259.26%4975619.913473397000079000%000000.5601000110
6Nicholas MerkleyComets (NJ )RW4081321-118028629729638.25%975918.9834714930110601046.64%46100000.5501000122
7Mikhail VorobyevComets (NJ )C48101020-1360238090346711.11%877416.150333310001292152.80%89200000.5201000200
8Mitchell StephensComets (NJ )C43128201020133778235115.38%1153412.4452725580002272155.16%28100000.7501000031
9Alex BiegaComets (NJ )D413161921805828408297.50%3776818.751231979011068000%000000.4900000012
10Cory ConacherComets (NJ )RW4771118-1760384510032847.00%982417.540339780001270047.66%21400000.4411000010
11Max MccormickComets (NJ )LW487815-1328042478524528.24%772615.13000130000180050.91%5500000.4100000003
12Alexandre PicardComets (NJ )LW4810515-130013271195014.08%373315.2822418124000061348.08%5200000.4100000212
13Mark OlverComets (NJ )RW4841115-12420127497322675.48%584517.62134161220002971053.70%5400000.3502000110
14Sami NikuComets (NJ )D3841115-712035222552216.00%4164416.95022221011034110%000000.4700000002
15Chad RuhwedelComets (NJ )D4831114-534053334222217.14%5588618.481451655011070000%000000.3200000001
16Samuel PoulinComets (NJ )RW456713-460133547184012.77%366214.711012140002252045.05%38400000.3900000000
17Steven KampferComets (NJ )D2001111-340161356120%1233516.750000100009000%000000.6600000010
18Connor HurleyComets (NJ )C264371160232735102311.43%62328.9600010000040049.38%24100000.6000000001
19Taylor CammarataComets (NJ )LW48325-421520253813327.89%14469.3000000000001046.15%2600000.2200000010
20Max ReinhartComets (NJ )C29134-20001062816.67%2943.2701102000040060.20%9800000.8401000000
21Ty SmithComets (NJ )D7011-3401164170%811716.740000000005000%000000.1700000000
22Vladimir ZharkovComets (NJ )RW12000000101010%080.740001000000000%00000000000000
Statistiques d’équipe totales ou en moyenne864129233362-9731715772838127441190010.13%4041418516.4232609228612632461697819649.47%399600000.51313002151519
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
1Lukas DostalComets (NJ )32131510.9062.9717766288932030002919113
2Patrik BartosakComets (NJ )2171020.8983.13111240585670000.769131929220
Statistiques d’équipe totales ou en moyenne53202530.9033.0328881021461499030134848333


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 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 Type Salaire actuel Plafond salarial Non Activé 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 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
Alex BiegaComets (NJ )D351988-04-04No195 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Alexander AvtsinComets (NJ )RW321991-03-19No216 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Alexandre PicardComets (NJ )LW381985-10-09No206 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Andrej SustrComets (NJ )D331990-11-29No217 Lbs6 ft7YesNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------Yes--------Lien
Brandon HickeyComets (NJ )D271996-04-13No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Cameron MorrisonComets (NJ )LW251998-08-27Yes210 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Chad RuhwedelComets (NJ )D331990-05-07No191 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Connor HurleyComets (NJ )C281995-09-15No178 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Cory ConacherComets (NJ )RW331989-12-14No185 Lbs5 ft8NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Drake CaggiulaComets (NJ )LW291994-06-20No185 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Eddie LackComets (NJ )G351988-01-05No187 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Grant HuttonComets (NJ )D281995-07-25No205 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Jordan SchmaltzComets (NJ )D301993-10-08No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Keaton ThompsonComets (NJ )D281995-09-14No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Klim KostinComets (NJ )C241999-05-05Yes215 Lbs6 ft3NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Lukas DostalComets (NJ )G232000-06-22Yes174 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Mark OlverComets (NJ )RW351988-01-01No180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Matt MurphyComets (NJ )D281995-05-01No190 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Max MccormickComets (NJ )LW311992-05-01No188 Lbs5 ft11NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Max ReinhartComets (NJ )C311992-02-04No189 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Mikhail VorobyevComets (NJ )C261997-01-05No194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Mitchell StephensComets (NJ )C261997-02-05No190 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Nicholas MerkleyComets (NJ )RW261997-05-23No179 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Niklas HanssonComets (NJ )D281995-01-08No190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Patrik BartosakComets (NJ )G301993-03-29No193 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Richard BachmanComets (NJ )G361987-07-25No174 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Ryan FitzgeraldComets (NJ )LW291994-10-19No172 Lbs5 ft9NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Sami NikuComets (NJ )D271996-10-10No174 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Samuel PoulinComets (NJ )RW222001-02-25Yes208 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Steven KampferComets (NJ )D351988-09-24No198 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Taylor CammarataComets (NJ )LW281995-05-13No160 Lbs5 ft7NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Ty SmithComets (NJ )D232000-03-24Yes180 Lbs5 ft11NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Vladimir ZharkovComets (NJ )RW351988-01-10No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3329.61191 Lbs6 ft01.97998,485$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas MerkleySamuel PoulinKlim Kostin25122
2Alexandre PicardDrake CaggiulaMark Olver25122
3Max MccormickMikhail VorobyevCory Conacher25122
4Taylor CammarataCory ConacherMark Olver25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonJordan Schmaltz25122
2Andrej SustrAlex Biega25122
3Chad RuhwedelSami Niku25122
4Grant HuttonJordan Schmaltz25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cory ConacherNicholas MerkleyKlim Kostin50122
2Alexandre PicardMikhail VorobyevMark Olver50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonJordan Schmaltz50122
2Chad RuhwedelAndrej Sustr50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikhail VorobyevAlexandre Picard50122
2Klim KostinMark Olver50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonJordan Schmaltz50122
2Chad RuhwedelAndrej Sustr50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mark Olver50122Grant HuttonJordan Schmaltz50122
2Mikhail Vorobyev50122Alex BiegaChad Ruhwedel50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cory ConacherNicholas Merkley50122
2Mikhail VorobyevMark Olver50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonJordan Schmaltz50122
2Chad RuhwedelAndrej Sustr50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark OlverNicholas MerkleyKlim KostinGrant HuttonJordan Schmaltz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark OlverNicholas MerkleyKlim KostinGrant HuttonJordan Schmaltz
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cory Conacher, Mikhail Vorobyev, Mark OlverMark Olver, Mikhail VorobyevMark Olver
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chad Ruhwedel, Jordan Schmaltz, Grant HuttonChad RuhwedelGrant Hutton, Jordan Schmaltz
Tirs de pénalité
Cory Conacher, Mikhail Vorobyev, Alexandre Picard, Mark Olver, Klim Kostin
Gardien
#1 : Lukas Dostal, #2 : Patrik Bartosak


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
1Admirals21000100752210001007520000000000030.7507142100603435362441425406156582304250.00%10100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
2Americans3210000089-12110000057-21100000032140.6678142200603435382441425406156918145517211.76%7271.43%0789156150.54%828167849.34%36075747.56%11207631146361627310
3Bears2020000027-51010000023-11010000004-400.000235006034353344414254061565221622200.00%7185.71%0789156150.54%828167849.34%36075747.56%11207631146361627310
4Checkers21100000990000000000002110000099020.500917260060343535344142540615792112324125.00%5180.00%1789156150.54%828167849.34%36075747.56%11207631146361627310
5Crunch4130000010911010000023-13120000086220.250101828006034353122441425406151062920671417.14%10190.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
6Eagles1010000035-2000000000001010000035-200.0003580060343532244142540615309210100.00%10100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
7Firebirds3210000012102211000006511100000065140.6671220320060343538644142540615942412497114.29%60100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
8Icehogs21100000660110000004311010000023-120.50061218006034353304414254061565242024200.00%10280.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
9Islanders31200000101002020000057-21100000053220.33310162600603435380441425406159327254612433.33%9188.89%0789156150.54%828167849.34%36075747.56%11207631146361627310
10Marlies41300000717-102020000038-52110000049-520.250712190060343531004414254061512637397212325.00%15753.33%0789156150.54%828167849.34%36075747.56%11207631146361627310
11Monsters1010000014-3000000000001010000014-300.00012300603435315441425406153610818000%4250.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
12Moose22000000642220000006420000000000041.000612180060343533944142540615702023268225.00%9188.89%0789156150.54%828167849.34%36075747.56%11207631146361627310
13PenguinsF3020000149-52010000126-41010000023-110.16747110060343538744142540615982614458112.50%70100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
14Phantoms11000000413000000000001100000041321.0004711006034353374414254061527158204125.00%40100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
15Roadrunners11000000312110000003120000000000021.00035800603435324441425406153276165240.00%30100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
16Rocket31100100911-21000010034-12110000067-130.5009172600603435399441425406151021530485240.00%13376.92%0789156150.54%828167849.34%36075747.56%11207631146361627310
17SenatorsF41300000811-3211000002202020000069-320.25081523016034353117441425406151254826751100.00%12466.67%1789156150.54%828167849.34%36075747.56%11207631146361627310
18Silver Knights10000010211000000000001000001021121.0002240060343532644142540615335812400.00%40100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
19StarsF1010000025-31010000025-30000000000000.000246006034353214414254061532410124125.00%5260.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
20Thunderbirds1010000035-2000000000001010000035-200.000358006034353234414254061527114207228.57%220.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
21Wolf Pack3210000010732110000067-11100000040440.66710182801603435384441425406159322225114535.71%11190.91%0789156150.54%828167849.34%36075747.56%11207631146361627310
22Wolves11000000413110000004130000000000021.000481200603435331441425406153226225240.00%20100.00%0789156150.54%828167849.34%36075747.56%11207631146361627310
Total48192500211130147-17251012002016271-923913000106876-8430.44813023336302603435312744414254061514994043277721503221.33%1473079.59%2789156150.54%828167849.34%36075747.56%11207631146361627310
_Since Last GM Reset48192500211130147-17251012002016271-923913000106876-8430.44813023336302603435312744414254061514994043277721503221.33%1473079.59%2789156150.54%828167849.34%36075747.56%11207631146361627310
_Vs Conference38162000101103115-1220711001014657-111899000005758-1340.44710318428702603435310514414254061511793262676301232520.33%1172281.20%2789156150.54%828167849.34%36075747.56%11207631146361627310
_Vs Division2066000015166-15825000011524-91241000003642-6130.32551931440160343535734414254061560716814134963914.29%621870.97%2789156150.54%828167849.34%36075747.56%11207631146361627310

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4843L31302333631274149940432777202
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4819250211130147
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25101202016271
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2391300106876
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1503221.33%1473079.59%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
441425406156034353
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
789156150.54%828167849.34%36075747.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11207631146361627310


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
2 - 2023-08-2616Americans4Comets1BLSommaire du match
3 - 2023-08-2718Comets1Crunch2ALSommaire du match
5 - 2023-08-2937Comets0Bears4ALSommaire du match
8 - 2023-09-0157Admirals2Comets5BWSommaire du match
10 - 2023-09-0374Wolf Pack2Comets3BWSommaire du match
11 - 2023-09-0486Comets2SenatorsF3ALSommaire du match
14 - 2023-09-07103SenatorsF2Comets1BLSommaire du match
16 - 2023-09-09123Comets4Wolf Pack0AWSommaire du match
18 - 2023-09-11137Firebirds1Comets3BWSommaire du match
21 - 2023-09-14157Comets5Rocket4AWSommaire du match
23 - 2023-09-16173Comets4Phantoms1AWSommaire du match
24 - 2023-09-17184Wolves1Comets4BWSommaire du match
27 - 2023-09-20207Comets5Crunch1AWSommaire du match
29 - 2023-09-22216Crunch3Comets2BLSommaire du match
30 - 2023-09-23224Comets1Rocket3ALSommaire du match
33 - 2023-09-26243Rocket4Comets3BLXSommaire du match
36 - 2023-09-29266Islanders4Comets3BLSommaire du match
39 - 2023-10-02289Comets3Thunderbirds5ALSommaire du match
40 - 2023-10-03296Comets2Silver Knights1AWXXSommaire du match
42 - 2023-10-05308PenguinsF3Comets0BLSommaire du match
44 - 2023-10-07328Comets3Americans2AWSommaire du match
46 - 2023-10-09337Comets0Marlies6ALSommaire du match
47 - 2023-10-10348Icehogs3Comets4BWSommaire du match
50 - 2023-10-13371SenatorsF0Comets1BWSommaire du match
53 - 2023-10-16387Comets4Checkers3AWSommaire du match
55 - 2023-10-18404Americans3Comets4BWSommaire du match
57 - 2023-10-20422Comets5Checkers6ALSommaire du match
59 - 2023-10-22436Wolf Pack5Comets3BLSommaire du match
62 - 2023-10-25460StarsF5Comets2BLSommaire du match
67 - 2023-10-30488Admirals3Comets2BLXSommaire du match
69 - 2023-11-01507Comets2Icehogs3ALSommaire du match
71 - 2023-11-03515Comets1Monsters4ALSommaire du match
73 - 2023-11-05528Moose1Comets2BWSommaire du match
76 - 2023-11-08549Marlies3Comets1BLSommaire du match
78 - 2023-11-10564Comets2Crunch3ALSommaire du match
80 - 2023-11-12583Marlies5Comets2BLSommaire du match
82 - 2023-11-14593Comets3Eagles5ALSommaire du match
84 - 2023-11-16614Comets4Marlies3AWSommaire du match
85 - 2023-11-17622PenguinsF3Comets2BLXXSommaire du match
88 - 2023-11-20645Moose3Comets4BWSommaire du match
90 - 2023-11-22653Comets4SenatorsF6ALSommaire du match
93 - 2023-11-25678Islanders3Comets2BLSommaire du match
95 - 2023-11-27698Comets6Firebirds5AWSommaire du match
97 - 2023-11-29711Roadrunners1Comets3BWSommaire du match
99 - 2023-12-01728Comets5Islanders3AWSommaire du match
101 - 2023-12-03742Firebirds4Comets3BLSommaire du match
103 - 2023-12-05755Comets2PenguinsF3ALSommaire du match
105 - 2023-12-07774Bears3Comets2BLSommaire du match
107 - 2023-12-09787Comets-Bears-
109 - 2023-12-11804Bears-Comets-
111 - 2023-12-13817Comets-PenguinsF-
113 - 2023-12-15837Crunch-Comets-
115 - 2023-12-17852Comets-Americans-
117 - 2023-12-19861Comets-Wolf Pack-
119 - 2023-12-21874Condors-Comets-
121 - 2023-12-23889Comets-Griffins-
123 - 2023-12-25906Reign-Comets-
125 - 2023-12-27919Comets-Islanders-
127 - 2023-12-29938Wolves-Comets-
129 - 2023-12-31952Comets-Canucks-
132 - 2024-01-03967Comets-Phantoms-
134 - 2024-01-05981Barracuda-Comets-
136 - 2024-01-071003Comets-Moose-
137 - 2024-01-081011Rocket-Comets-
140 - 2024-01-111033Checkers-Comets-
142 - 2024-01-131046Comets-Firebirds-
143 - 2024-01-141056Comets-Rocket-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2024-01-171074Phantoms-Comets-
149 - 2024-01-201096Checkers-Comets-
151 - 2024-01-221107Comets-Canucks-
154 - 2024-01-251129Comets-BruinsF-
156 - 2024-01-271139BruinsF-Comets-
159 - 2024-01-301163Comets-BruinsF-
161 - 2024-02-011173BruinsF-Comets-
164 - 2024-02-041199Gulls-Comets-
167 - 2024-02-071222Phantoms-Comets-
169 - 2024-02-091235Comets-Rocket-
172 - 2024-02-121253Wranglers-Comets-
173 - 2024-02-131259Comets-Moose-
175 - 2024-02-151268Comets-Wolves-
178 - 2024-02-181290Comets-Wolves-
181 - 2024-02-211303Iowa Wild-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance37,84823,989
Assistance PCT75.70%95.96%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2473 - 82.45% 97,702$2,442,547$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,939,848$ 3,295,000$ 3,465,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,881,570$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,563,230$ 76 18,654$ 1,417,704$




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