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Utica Comets
GP: 14 | W: 9 | L: 1 | OTL: 4 | P: 22
GF: 59 | GA: 51 | PP%: 21.82% | PK%: 89.36%
DG: Andri | Morale : 42 | Moyenne d’équipe : 60
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Centre de jeu
Utica Comets
9-1-4, 22pts
4
FINAL
5 Toronto Marlies
8-5-1, 17pts
Team Stats
W1SéquenceW2
6-0-1Fiche domicile5-1-1
3-1-3Fiche domicile3-4-0
7-0-3Derniers 10 matchs6-3-1
4.21Buts par match 3.29
3.64Buts contre par match 3.14
21.82%Pourcentage en avantage numérique18.37%
89.36%Pourcentage en désavantage numérique77.27%
Laval Rocket
9-4-1, 19pts
4
FINAL
5 Utica Comets
9-1-4, 22pts
Team Stats
L1SéquenceW1
5-1-1Fiche domicile6-0-1
4-3-0Fiche domicile3-1-3
5-4-1Derniers 10 matchs7-0-3
4.57Buts par match 4.21
3.50Buts contre par match 3.64
25.42%Pourcentage en avantage numérique21.82%
76.36%Pourcentage en désavantage numérique89.36%
Meneurs d'équipe
Buts
Graeme Clarke
9
Chris TierneyPasses
Chris Tierney
12
Chris TierneyPoints
Chris Tierney
20
Kevin BahlPlus/Moins
Kevin Bahl
7
Victoires
Nico Daws
9
Pourcentage d’arrêts
Erik Kallgren
0.93

Statistiques d’équipe
Buts pour
59
4.21 GFG
Tirs pour
633
45.21 Avg
Pourcentage en avantage numérique
21.8%
12 GF
Début de zone offensive
41.9%
Buts contre
51
3.64 GAA
Tirs contre
587
41.93 Avg
Pourcentage en désavantage numérique
89.4%%
5 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralAndri
EntraîneurKevin Dineen
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,808
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 70
Espoirs19


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 moyen
1Chris Tierney0X100.00654483647062756072686068577160046650301775,000$
2Justin Dowling0X100.00585275596263626168635963547062046620341775,000$
3Alexander Holtz0XX100.005951736370605858546160635553540466102241,100,000$
4Arnaud Durandeau0XX100.00555866626367656155596159565855043610251775,000$
5Graeme Clarke0XX100.00545767645966646255596161605553046610231775,000$
6Max Willman0X100.00605072616464645754605864546159046610291775,000$
7Kyle Criscuolo0X100.00555966615765645970575958557062046600321775,000$
8Nolan Foote0XX100.00555767606765625955586162565654046600241775,000$
9Ryan Schmelzer0X100.00555665606367655970595761546961046600311775,000$
10Joe Gambardella0X100.00545767586365635970595861546961046600311775,000$
11Josh Filmon (R)0XX100.00606060606060606060606060606060046600201775,000$
12Samuel Laberge0XXX100.00565464576763625755565662546257046590271775,000$
13Kevin Bahl0X100.006762756283676457406757745456560446502431,100,000$
14Robbie Russo0X100.00545567616268655940585659546961043600311775,000$
15Tyler Wotherspoon0X100.00555566596766635740575663546961046600311775,000$
16Luke Hughes0X100.005438786266695363385751575151550465902121,300,000$
17Michael Vukojevic0X100.00555466567062615540555560545553046580231775,000$
18Simon Nemec0X100.00525264586064615738555660514848046570201775,000$
Rayé
1Brian Halonen0X100.00555966586662615855555961545855026590251775,000$
2Shane Bowers0X100.00555567596264625655565760545855026580251775,000$
3Timur Ibragimov0XXX100.00545468556557565555555561545654026570241775,000$
4Filip Engaras0X100.00545567556559595570545560545855026570251775,000$
5Ryan Fitzgerald0XXX100.00545468555756555455545461546760026560301775,000$
6Xavier Parent0X100.00525165525254535252525257515250026530231775,000$
7T.J. Friedmann0X100.00515165515851515152515157515853026530261775,000$
8Santeri Hatakka0X100.00545467556357575540555460545553026560231775,000$
9Colin Felix0X100.00655164516351515138515159515451026540251775,000$
MOYENNE D’ÉQUIPE100.0056546858646261575457576154605603959
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 moyen
1Nico Daws0100.0073676684668268616765845352044690241775,000$
2Erik Kallgren0100.0063616172665969636261686357049640281775,000$
Rayé
1Tyler Brennan (R)0100.0060606060606060606060606060033600211775,000$
MOYENNE D’ÉQUIPE100.006563627264676661636271595604264
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen66677369898460CAN587500,000$


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
1Chris TierneyUtica Comets (NJD)C1481220400276671104011.27%529921.4011217420002411056.51%49900011.3301000301
2Graeme ClarkeUtica Comets (NJD)LW/RW149918500232454113816.67%229521.0722410440004403140.00%3500001.2200000310
3Justin DowlingUtica Comets (NJD)C1461016120165759123410.17%227519.6835815450000381055.95%45400011.1601000101
4Kevin BahlUtica Comets (NJD)D14511167261045285413269.26%2833323.832243144000136000%000000.9600011002
5Arnaud DurandeauUtica Comets (NJD)LW/RW147815495231543132616.28%125218.00000641000021037.50%2400011.1900010120
6Luke HughesUtica Comets (NJD)D1439121140201629101510.34%2229621.192351743000036000%000000.8100000001
7Alexander HoltzUtica Comets (NJD)LW/RW14639040253055123710.91%227019.340009410000390061.76%3400000.6601000000
8Robbie RussoUtica Comets (NJD)D1418961152019185195.56%3233323.81022544000039100%000000.5400010000
9Tyler WotherspoonUtica Comets (NJD)D140881801615227250%2029621.200331343000035000%000000.5400000012
10Ryan SchmelzerUtica Comets (NJD)C1433630088206915.00%2946.7400000000000157.36%12900001.2700000000
11Joe GambardellaUtica Comets (NJD)C14336220982681711.54%41399.942241345000001042.86%1400010.8600000010
12Samuel LabergeUtica Comets (NJD)C/LW/RW14235320510131715.38%3956.8400011000000066.67%300001.0400000000
13Josh FilmonUtica Comets (NJD)LW/RW14145-5402620379332.70%617612.6200000000000050.00%1200000.5700000000
14Kyle CriscuoloUtica Comets (NJD)C14224-5401017259178.00%118012.9200000000030050.81%24600000.4400000000
15Michael VukojevicUtica Comets (NJD)D14044-480281418270%1522115.8200002000015000%000000.3600000000
16Nolan FooteUtica Comets (NJD)LW/RW14314-5607184215267.14%318313.1400012000011135.71%1400000.4400000000
17Max WillmanUtica Comets (NJD)C1403331001715367150%119113.6500036000000066.67%900000.3100000000
18Simon NemecUtica Comets (NJD)D14022-48022711790%1120614.770000200002000%000000.1900000000
Statistiques d’équipe totales ou en moyenne2525910316217118203473876331574009.32%160414316.4412203214145500073349354.58%147300040.7803031857
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
1Nico DawsUtica Comets (NJD)149140.9133.4380420465300000.5002140010
2Erik KallgrenUtica Comets (NJD)10000.9305.11470045700000014000
Statistiques d’équipe totales ou en moyenne159140.9153.53851205058700021414010


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond 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
Alexander HoltzUtica Comets (NJD)LW/RW2223.01.2002No89 Kg183 CMNoNoN/ANoNo4FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$1,100,000$1,100,000$------NoNoNo------Lien
Arnaud DurandeauUtica Comets (NJD)LW/RW2514.01.1999No84 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Brian HalonenUtica Comets (NJD)C2511.01.1999No94 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Chris TierneyUtica Comets (NJD)C3001.07.1994No87 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien / Lien NHL
Colin FelixUtica Comets (NJD)D2507.01.1999No92 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Erik KallgrenUtica Comets (NJD)G2814.10.1996No91 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Filip EngarasUtica Comets (NJD)C2516.05.1999No91 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Graeme ClarkeUtica Comets (NJD)LW/RW2324.04.2001No79 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Joe GambardellaUtica Comets (NJD)C3106.12.1993No91 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Josh FilmonUtica Comets (NJD)LW/RW2018.03.2004Yes77 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Justin DowlingUtica Comets (NJD)C3401.10.1990No82 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Kevin BahlUtica Comets (NJD)D2427.06.2000No105 Kg198 CMNoNoN/ANoNo3FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Kyle CriscuoloUtica Comets (NJD)C3205.05.1992No80 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Luke HughesUtica Comets (NJD)D2109.09.2003No84 Kg188 CMNoNoN/ANoNo2FalseFalsePro & Farm1,300,000$1,300,000$0$0$No1,300,000$--------No--------Lien
Max WillmanUtica Comets (NJD)C2913.02.1995No84 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Michael VukojevicUtica Comets (NJD)D2308.06.2001No98 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nico DawsUtica Comets (NJD)G2422.12.2000No93 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nolan FooteUtica Comets (NJD)LW/RW2429.11.2000No89 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Robbie RussoUtica Comets (NJD)D3115.02.1993No86 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ryan FitzgeraldUtica Comets (NJD)C/LW/RW3019.10.1994No78 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ryan SchmelzerUtica Comets (NJD)C3128.07.1993No85 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Samuel LabergeUtica Comets (NJD)C/LW/RW2710.04.1997No93 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Santeri HatakkaUtica Comets (NJD)D2315.01.2001No87 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Shane BowersUtica Comets (NJD)C2530.07.1999No85 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Simon NemecUtica Comets (NJD)D2015.02.2004No86 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
T.J. FriedmannUtica Comets (NJD)C2627.02.1998No82 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Timur IbragimovUtica Comets (NJD)C/LW/RW2412.10.2000No91 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Tyler BrennanUtica Comets (NJD)G2127.09.2003Yes82 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Tyler WotherspoonUtica Comets (NJD)D3112.03.1993No94 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Xavier ParentUtica Comets (NJD)C2323.03.2001No77 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.9087 Kg185 CM1.20814,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Graeme ClarkeChris TierneyArnaud Durandeau33122
2Alexander HoltzJustin DowlingMax Willman30122
3Nolan FooteKyle CriscuoloJosh Filmon25122
4Joe GambardellaRyan SchmelzerSamuel Laberge12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo33122
2Tyler WotherspoonLuke Hughes30122
3Michael VukojevicSimon Nemec25122
4Kevin BahlRobbie Russo12122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander HoltzChris TierneyArnaud Durandeau50122
2Graeme ClarkeJustin DowlingJoe Gambardella50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo50122
2Tyler WotherspoonLuke Hughes50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TierneyAlexander Holtz50122
2Justin DowlingGraeme Clarke50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo50122
2Tyler WotherspoonLuke Hughes50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Tierney50122Kevin BahlRobbie Russo50122
2Justin Dowling50122Tyler WotherspoonLuke Hughes50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris TierneyAlexander Holtz50122
2Justin DowlingGraeme Clarke50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo50122
2Tyler WotherspoonLuke Hughes50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander HoltzChris TierneyArnaud DurandeauKevin BahlRobbie Russo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander HoltzChris TierneyArnaud DurandeauKevin BahlRobbie Russo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Graeme Clarke, Max Willman, Nolan FooteGraeme Clarke, Max WillmanGraeme Clarke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Hughes, Michael Vukojevic, Simon NemecLuke HughesLuke Hughes, Michael Vukojevic
Tirs de pénalité
Chris Tierney, Justin Dowling, Alexander Holtz, Arnaud Durandeau, Graeme Clarke
Gardien
#1 : Nico Daws, #2 : Erik Kallgren
Lignes d’attaque personnalisées en prolongation
Chris Tierney, Justin Dowling, Alexander Holtz, Arnaud Durandeau, Graeme Clarke, Max Willman, Max Willman, Nolan Foote, Josh Filmon, Kyle Criscuolo, Ryan Schmelzer
Lignes de défense personnalisées en prolongation
Kevin Bahl, Robbie Russo, Tyler Wotherspoon, Luke Hughes, Michael Vukojevic


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
1Belleville Senators21000100963110000007341000010023-130.750917260020201901071982142121270141241800.00%50100.00%033460954.84%33058956.03%14025754.47%32121033511419496
2Calgary Wranglers220000001174110000004221100000075241.0001121320020201909619821421212772929599333.33%5180.00%033460954.84%33058956.03%14025754.47%32121033511419496
3Cleveland Monsters22000000743110000004221100000032141.0007111800202019093198214212126523124611327.27%60100.00%033460954.84%33058956.03%14025754.47%32121033511419496
4Laval Rocket220000001192110000005411100000065141.0001118290020201908819821421212762384210110.00%40100.00%033460954.84%33058956.03%14025754.47%32121033511419496
5Rochester Americans20100100512-71000010034-11010000028-610.2505101500202019074198214212121242425674125.00%10370.00%033460954.84%33058956.03%14025754.47%32121033511419496
6Syracuse Crunch21000100963110000006241000010034-130.7509152400202019088198214212128324145610330.00%70100.00%033460954.84%33058956.03%14025754.47%32121033511419496
7Toronto Marlies21000001770110000003211000000145-130.750711180020201908719821421212922320363133.33%10190.00%033460954.84%33058956.03%14025754.47%32121033511419496
Total1491003015951876000100321913731002012732-5220.7865910316200202019063319821421212587160120347551221.82%47589.36%033460954.84%33058956.03%14025754.47%32121033511419496
_Since Last GM Reset1491003015951876000100321913731002012732-5220.7865910316200202019063319821421212587160120347551221.82%47589.36%033460954.84%33058956.03%14025754.47%32121033511419496
_Vs Conference1491003015951876000100321913731002012732-5220.7865910316200202019063319821421212587160120347551221.82%47589.36%033460954.84%33058956.03%14025754.47%32121033511419496
_Vs Division109100301414015600010024159531002011725-8221.1004171112002020190444198214212124451087924235617.14%36488.89%033460954.84%33058956.03%14025754.47%32121033511419496

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1422W15910316263358716012034700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
149103015951
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
76001003219
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73102012732
Derniers 10 matchs
WLOTWOTL SOWSOL
700201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
551221.82%47589.36%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
198214212122020190
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
33460954.84%33058956.03%14025754.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
32121033511419496


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
15Utica Comets3Cleveland Monsters2WSommaire du match
322Belleville Senators3Utica Comets7WSommaire du match
433Utica Comets2Rochester Americans8LSommaire du match
646Utica Comets3Syracuse Crunch4LXSommaire du match
862Syracuse Crunch2Utica Comets6WSommaire du match
1079Utica Comets6Laval Rocket5WSommaire du match
1295Toronto Marlies2Utica Comets3WSommaire du match
14114Utica Comets7Calgary Wranglers5WSommaire du match
15124Calgary Wranglers2Utica Comets4WSommaire du match
18146Cleveland Monsters2Utica Comets4WSommaire du match
20156Utica Comets2Belleville Senators3LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
23178Rochester Americans4Utica Comets3LXSommaire du match
24189Utica Comets4Toronto Marlies5LXXSommaire du match
28215Laval Rocket4Utica Comets5WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance13,2476,406
Assistance PCT94.62%91.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2808 - 93.59% 79,962$559,735$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,942,490$ 2,442,500$ 2,442,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
81,417$ 2,442,510$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 98,083$ 0$




Utica 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

Utica 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

Utica 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

Utica 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

Utica 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