UTICA Comets

GP: 2 | W: 1 | L: 1 | OTL: 0 | P: 2
GF: 9 | GA: 10 | PP%: 57.14% | PK%: 66.67%
DG: Ronald Fex | Morale : 99 | Moyenne d'Équipe : 67
Prochain matchs #31 vs CAROLINA Checkers
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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
1Melker Karlsson0XX100.0067398566707983657063647766786938997103011,600,000$
2Vinnie Hinostroza0XX100.006838897166778570637265647671664899710261750,000$
3Drake Caggiula0X100.0087507568667376675665716769706642997002841,500,000$
4John Hayden (A)0XX100.0084666264867578637660626459696663996902551,000,000$
5Brandon Pirri0XX100.005943856673767164616365626677695899680296775,000$
6Tyler Sikura0X100.006446866079878459545756586075785799680281750,000$
7A.J. Greer0X100.006652826285787761576060636267647399670232750,000$
8Travis Boyd0X100.005939876472756863706762656473675299670266750,000$
9Boo Nieves0X100.006641906386767762676158606271666399670261750,000$
10Jean-Sebastien Dea0X100.005545866366797862746160596271665399660263750,000$
11Nathan Walker0X100.005643876367757262546061586371665999650266750,000$
12Dylan Sikura0X100.0055409063667673615460605862696554996402551,000,000$
13Josh Brown (R)0X100.008265726393798062306158655071674899700263750,000$
14Derek Forbort0X100.0078427961907877593060586551756871996902852,500,000$
15Ethan Prow (R)0X100.005345896368848661306257564575685799670273750,000$
16Steven Santini0X100.006847896081787258305956655069657199660256750,000$
17Trevor Carrick0X100.006253826180737562306058635471665899660263750,000$
18Ashton Sautner0X100.006142875876847556305757595271665299650266750,000$
Rayé
1Anton Wedin (R)0X100.005939816071706758535959615773674899640273750,000$
2Jordan Subban0X100.005089676565505065304843505350504399530253750,000$
MOYENNE D'ÉQUIPE100.00654883637576756251616062597166559967
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 SP
1Collin Delia (R)100.00767472827574767574767571755999680
2Eamon McAdam (R)100.00736083747272737272726750624299640
Rayé
MOYENNE D'ÉQUIPE100.0075677878747375747374716169519966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel70707070787854CAN591300,000$


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
1Melker KarlssonUTICA Comets (VCR)C/RW233600026151220.00%24120.5213444000081083.33%2431012.9200000100
2John HaydenUTICA Comets (VCR)C/LW2314-1205082537.50%03115.59213240000700100.00%300002.5700000000
3A.J. GreerUTICA Comets (VCR)LW2033020419460.00%03919.63011250000500100.00%300001.5300000000
4Derek ForbortUTICA Comets (VCR)D2022-200202130.00%44422.290111400008000.00%000000.9000000000
5Travis BoydUTICA Comets (VCR)C21120002264916.67%12814.0700000000000083.33%3000001.4200000000
6Ethan ProwUTICA Comets (VCR)D21120001251320.00%44623.181012300002000.00%010000.8600000000
7Josh BrownUTICA Comets (VCR)D2011000716430.00%25226.030113400008000.00%002000.3800000000
8Brandon PirriUTICA Comets (VCR)C/LW2011-100026220.00%02110.680000000001000.00%001000.9400000000
9Drake CaggiulaUTICA Comets (VCR)RW2101040132125118.33%13718.5200013000000066.67%602000.5400000000
10Boo NievesUTICA Comets (VCR)C2011-100232240.00%12211.0300000000020065.22%2300000.9100000000
11Tyler SikuraUTICA Comets (VCR)C2011000124230.00%13919.9300023000020067.19%6400000.5000000000
12Ashton SautnerUTICA Comets (VCR)D2000020112000.00%12412.470000000000000.00%000000.0000000000
13Steven SantiniUTICA Comets (VCR)D2000040510000.00%32914.530000000004000.00%000000.0000000000
14Jean-Sebastien DeaUTICA Comets (VCR)C2000-100136220.00%1168.3900000000000060.00%1000000.0000000000
15Nathan WalkerUTICA Comets (VCR)LW2000-100116000.00%1168.390000000000000.00%100000.0000000000
16Dylan SikuraUTICA Comets (VCR)RW2000-100402210.00%0189.230000100000000.00%000000.0000000000
17Trevor CarrickUTICA Comets (VCR)D2000-240625310.00%64120.960001300005000.00%001000.0000000000
18Vinnie HinostrozaUTICA Comets (VCR)LW/RW200000034158120.00%13316.8600000000000066.67%300000.0000000000
Stats d'équipe Total ou en Moyenne3691524-10180603311143678.11%2958416.24471118370000571072.46%16747010.8200000100
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
1Collin DeliaUTICA Comets (VCR)21100.8655.0012000107435000.000020000
Stats d'équipe Total ou en Moyenne21100.8655.0012000107435000.000020000


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 MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
A.J. GreerUTICA Comets (VCR)LW2312/14/1996 12:32:25 PMNo95 Kg191 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$Lien
Anton WedinUTICA Comets (VCR)LW273/1/1993Yes89 Kg180 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Ashton SautnerUTICA Comets (VCR)D265/27/1994No89 Kg185 CMNoNoNo6Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Boo NievesUTICA Comets (VCR)C261/23/1994No97 Kg191 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Brandon PirriUTICA Comets (VCR)C/LW294/10/1991No82 Kg185 CMNoNoNo6Pro & Farm775,000$761,864$775,000$761,864$0$0$No775,000$775,000$775,000$775,000$775,000$Lien
Collin DeliaUTICA Comets (VCR)G266/20/1994Yes95 Kg188 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Derek ForbortUTICA Comets (VCR)D283/4/1992No100 Kg193 CMNoNoNo5Pro & Farm2,500,000$2,457,627$2,500,000$2,457,627$0$0$No2,500,000$2,500,000$2,500,000$2,500,000$Lien
Drake CaggiulaUTICA Comets (VCR)RW281/9/1992 2:02:10 PMNo80 Kg178 CMNoNoNo4Pro & Farm1,500,000$1,474,576$1,500,000$1,474,576$0$0$No1,500,000$1,500,000$1,500,000$Lien
Dylan SikuraUTICA Comets (VCR)RW256/1/1995No75 Kg180 CMNoNoNo5Pro & Farm1,000,000$983,051$1,000,000$983,051$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Eamon McAdamUTICA Comets (VCR)G259/24/1994Yes91 Kg183 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Ethan ProwUTICA Comets (VCR)D2711/17/1992Yes82 Kg180 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Jean-Sebastien DeaUTICA Comets (VCR)C262/8/1994No76 Kg180 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$Lien
John HaydenUTICA Comets (VCR)C/LW252/14/1995No98 Kg191 CMNoNoNo5Pro & Farm1,000,000$983,051$1,000,000$983,051$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Jordan SubbanUTICA Comets (VCR)D253/3/1995No81 Kg175 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$Lien
Josh BrownUTICA Comets (VCR)D261/21/1994Yes99 Kg196 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Melker KarlssonUTICA Comets (VCR)C/RW307/18/1990No82 Kg183 CMNoNoNo1Pro & Farm1,600,000$1,572,881$1,600,000$1,572,881$0$0$NoLien
Nathan WalkerUTICA Comets (VCR)LW262/7/1994No85 Kg175 CMNoNoNo6Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Steven SantiniUTICA Comets (VCR)D253/7/1995No93 Kg188 CMNoNoNo6Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Travis BoydUTICA Comets (VCR)C269/14/1993No86 Kg183 CMNoNoNo6Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Trevor CarrickUTICA Comets (VCR)D267/4/1994No89 Kg188 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$Lien
Tyler SikuraUTICA Comets (VCR)C285/18/1992No89 Kg188 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Vinnie HinostrozaUTICA Comets (VCR)LW/RW264/3/1994No79 Kg175 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.3288 Kg185 CM3.59926,136$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vinnie HinostrozaTyler SikuraDrake Caggiula35122
2A.J. GreerTravis BoydMelker Karlsson30122
3Brandon PirriBoo NievesJohn Hayden20122
4Nathan WalkerJean-Sebastien DeaDylan Sikura15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derek ForbortJosh Brown35122
2Ethan ProwTrevor Carrick35122
3Ashton SautnerSteven Santini15122
4Ethan ProwJosh Brown15041
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1John HaydenMelker KarlssonA.J. Greer55104
2A.J. GreerTyler SikuraDrake Caggiula45104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derek ForbortJosh Brown60014
2Ethan ProwTrevor Carrick40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Melker KarlssonJohn Hayden60140
2Tyler SikuraA.J. Greer40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh BrownDerek Forbort55050
2Steven SantiniTrevor Carrick45050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Melker Karlsson55050Josh BrownDerek Forbort55050
2Tyler Sikura45050Steven SantiniTrevor Carrick45050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Melker KarlssonJohn Hayden55122
2Tyler SikuraA.J. Greer45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan ProwJosh Brown55122
2Derek ForbortTrevor Carrick45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon PirriMelker KarlssonVinnie HinostrozaDerek ForbortJosh Brown
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
John HaydenMelker KarlssonA.J. GreerDerek ForbortJosh Brown
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
A.J. Greer, Dylan Sikura, Boo NievesA.J. Greer, Dylan SikuraA.J. Greer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor Carrick, Steven Santini, Josh BrownTrevor CarrickTrevor Carrick, Josh Brown
Tirs de Pénalité
Melker Karlsson, Drake Caggiula, John Hayden, Tyler Sikura, A.J. Greer
Gardien
#1 : Collin Delia, #2 : Eamon McAdam
Lignes d'Attaque Perso. en Prol.
Melker Karlsson, Drake Caggiula, John Hayden, Tyler Sikura, A.J. Greer, Brandon Pirri, Brandon Pirri, Boo Nieves, Jean-Sebastien Dea, Vinnie Hinostroza, Dylan Sikura
Lignes de Défense Perso. en Prol.
Ethan Prow, Josh Brown, Derek Forbort, Trevor Carrick, Steven Santini


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
LigueDomicileVisiteur
# 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
1BROOKLYN Wolfpack1010000047-31010000047-30000000000000.0004610001440412934480612882322100.00%4325.00%0698680.23%284562.22%243666.67%584234112615
2TORONTO Marlies11000000532000000000001100000053221.000591400144070293448013110375240.00%50100.00%0698680.23%284562.22%243666.67%584234112615
Total21100000910-11010000047-31100000053220.500915240014401112934480742918607457.14%9366.67%0698680.23%284562.22%243666.67%584234112615
_Since Last GM Reset21100000910-11010000047-31100000053220.500915240014401112934480742918607457.14%9366.67%0698680.23%284562.22%243666.67%584234112615
_Vs Conference21100000910-11010000047-31100000053220.500915240014401112934480742918607457.14%9366.67%0698680.23%284562.22%243666.67%584234112615

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
22W1915241117429186000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2110000910
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000047
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
110000053
Derniers 10 Matchs
WLOTWOTL SOWSOL
110000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
7457.14%9366.67%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
29344801440
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
698680.23%284562.22%243666.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
584234112615


Derniers Match 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 - 2021-01-1710BROOKLYN Wolfpack7UTICA Comets4LSommaire du Match
2 - 2021-01-1815UTICA Comets5TORONTO Marlies3WSommaire du Match
4 - 2021-01-2031CAROLINA Checkers-UTICA Comets-
6 - 2021-01-2251UTICA Comets-SAN ANTONIO Rampage-
7 - 2021-01-2360PROVIDENCE Bruins-UTICA Comets-
8 - 2021-01-2473UTICA Comets-TUSCON Roadrunners-
10 - 2021-01-2690MILWAUKEE Admirals-UTICA Comets-
11 - 2021-01-2794UTICA Comets-BROOKLYN Wolfpack-
12 - 2021-01-28106UTICA Comets-HERSEY Bears-
13 - 2021-01-29113UTICA Comets-PROVIDENCE Bruins-
15 - 2021-01-31130SAN DIEGO Gulls-UTICA Comets-
17 - 2021-02-02148HERSEY Bears-UTICA Comets-
19 - 2021-02-04166COLORADO Eagles-UTICA Comets-
20 - 2021-02-05181TORONTO Marlies-UTICA Comets-
22 - 2021-02-07195UTICA Comets-TORONTO Marlies-
23 - 2021-02-08205UTICA Comets-LAVAL Rocket-
25 - 2021-02-10216ONTARIO Reign-UTICA Comets-
26 - 2021-02-11230UTICA Comets-CHICAGO Wolves-
28 - 2021-02-13244UTICA Comets-ONTARIO Reign-
29 - 2021-02-14253BINGHAMTON Devils-UTICA Comets-
31 - 2021-02-16271TUSCON Roadrunners-UTICA Comets-
32 - 2021-02-17284UTICA Comets-CAROLINA Checkers-
33 - 2021-02-18296UTICA Comets-HERSEY Bears-
34 - 2021-02-19304BROOKLYN Wolfpack-UTICA Comets-
36 - 2021-02-21319BELLEVILLE Senators-UTICA Comets-
37 - 2021-02-22335HERSEY Bears-UTICA Comets-
39 - 2021-02-24348UTICA Comets-PROVIDENCE Bruins-
40 - 2021-02-25359UTICA Comets-MANITOBA Moose-
42 - 2021-02-27371CHICAGO Wolves-UTICA Comets-
43 - 2021-02-28386UTICA Comets-SCRANTON Penguins-
45 - 2021-03-02396UTICA Comets-BAKERSFIELD Condors-
46 - 2021-03-03409UTICA Comets-BINGHAMTON Devils-
47 - 2021-03-04416STOCKTON Flames-UTICA Comets-
49 - 2021-03-06435BAKERSFIELD Condors-UTICA Comets-
51 - 2021-03-08450MANITOBA Moose-UTICA Comets-
52 - 2021-03-09463UTICA Comets-HERSEY Bears-
53 - 2021-03-10474UTICA Comets-BELLEVILLE Senators-
54 - 2021-03-11485MILWAUKEE Admirals-UTICA Comets-
56 - 2021-03-13503SCRANTON Penguins-UTICA Comets-
57 - 2021-03-14513UTICA Comets-SAN DIEGO Gulls-
58 - 2021-03-15527SAN DIEGO Gulls-UTICA Comets-
60 - 2021-03-17542UTICA Comets-CAROLINA Checkers-
62 - 2021-03-19556PROVIDENCE Bruins-UTICA Comets-
63 - 2021-03-20565UTICA Comets-PROVIDENCE Bruins-
64 - 2021-03-21575UTICA Comets-STOCKTON Flames-
65 - 2021-03-22590SAN ANTONIO Rampage-UTICA Comets-
66 - 2021-03-23602UTICA Comets-IOWA Wild-
69 - 2021-03-26619TUSCON Roadrunners-UTICA Comets-
70 - 2021-03-27631UTICA Comets-SAN ANTONIO Rampage-
71 - 2021-03-28645PROVIDENCE Bruins-UTICA Comets-
73 - 2021-03-30662MILWAUKEE Admirals-UTICA Comets-
75 - 2021-04-01677CAROLINA Checkers-UTICA Comets-
76 - 2021-04-02682UTICA Comets-TUSCON Roadrunners-
77 - 2021-04-03695UTICA Comets-SYRACUSE Crunch-
79 - 2021-04-05709HERSEY Bears-UTICA Comets-
81 - 2021-04-07724UTICA Comets-TUSCON Roadrunners-
82 - 2021-04-08738CAROLINA Checkers-UTICA Comets-
84 - 2021-04-10750UTICA Comets-BRIDGEPORT Sound Tigers-
85 - 2021-04-11761UTICA Comets-SAN ANTONIO Rampage-
86 - 2021-04-12774GRAND RAPIDS Griffins-UTICA Comets-
88 - 2021-04-14787UTICA Comets-GRAND RAPIDS Griffins-
89 - 2021-04-15800SYRACUSE Crunch-UTICA Comets-
91 - 2021-04-17815IOWA Wild-UTICA Comets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19834LEHIGH VALLEY Phantoms-UTICA Comets-
95 - 2021-04-21846UTICA Comets-ROCKFORD IceHogs-
96 - 2021-04-22860BRIDGEPORT Sound Tigers-UTICA Comets-
97 - 2021-04-23869UTICA Comets-COLORADO Eagles-
98 - 2021-04-24879UTICA Comets-LEHIGH VALLEY Phantoms-
99 - 2021-04-25892UTICA Comets-LAVAL Rocket-
101 - 2021-04-27905LAVAL Rocket-UTICA Comets-
102 - 2021-04-28915UTICA Comets-ROCKFORD IceHogs-
103 - 2021-04-29929ROCKFORD IceHogs-UTICA Comets-
105 - 2021-05-01940UTICA Comets-TORONTO Marlies-
107 - 2021-05-03956BROOKLYN Wolfpack-UTICA Comets-
108 - 2021-05-04968UTICA Comets-MILWAUKEE Admirals-
109 - 2021-05-05978UTICA Comets-BROOKLYN Wolfpack-
110 - 2021-05-06987TORONTO Marlies-UTICA Comets-
112 - 2021-05-081007COLORADO Eagles-UTICA Comets-
113 - 2021-05-091008UTICA Comets-BROOKLYN Wolfpack-
116 - 2021-05-121031BRIDGEPORT Sound Tigers-UTICA Comets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
34,534$ 2,037,500$ 2,037,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 34,534$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 116 17,267$ 2,002,972$




LigueDomicileVisiteur
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
Saison Régulière
34804618039222631798440249014111429052402290251112189321132634787412109676865272684791391563210257572414352554718.43%3044186.51%41602278257.58%1301239754.28%664116357.09%209115051777548979504
34804618039222631798440249014111429052402290251112189321132634787412109676865272684791391563210257572414352554718.43%3044186.51%41602278257.58%1301239754.28%664116357.09%209115051777548979504
3621100000910-11010000047-3110000005322915240014401112934480742918607457.14%9366.67%0698680.23%284562.22%243666.67%584234112615
Total Saison Régulière16293370618445353681678148190282228818710181451804102224718166228535971150642019315617610556317231860187812642781179146629305179818.96%6178586.22%83273565057.93%2630483954.35%1352236257.24%424030523590110819851024
Séries
3411740000033285642000001916353200000141221433599201161151360122109108213007710719851713.73%40880.00%024240659.61%18533655.06%9818054.44%2922072557814372
Total Séries11740000033285642000001916353200000141221433599201161151360122109108213007710719851713.73%40880.00%024240659.61%18533655.06%9818054.44%2922072557814372