UTICA Comets

GP: 61 | W: 39 | L: 12 | OTL: 10 | P: 88
GF: 198 | GA: 133 | PP%: 18.72% | PK%: 86.90%
DG: Ronald Fex | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #797 vs MILWAUKEE Admirals
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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 SP
1Melker Karlsson0XX100.006739856670798365706364776678693899710
2Drake Caggiula0X100.008750756866737667566571676970664299700
3John Hayden (A)0XX100.008466626486757863766062645969666399690
4Tyler Sikura0X100.006446866079878459545756586075785799680
5Travis Boyd0X100.005939876472756863706762656473675299670
6Boo Nieves0X100.006641906386767762676158606271666399670
7Jean-Sebastien Dea0X100.005545866366797862746160596271665399660
8Nathan Walker0X100.005643876367757262546061586371665999650
9Dylan Sikura0X100.005540906366767361546060586269655499640
10Anton Wedin (R)0X100.005939816071706758535959615773674899640
11Stephen Johns0X100.008046756691726365306864675375685699700
12Ethan Prow (R)0X100.005345896368848661306257564575685799670
13Roland McKeown0X100.006453836276889059305853564667746997670
14Steven Santini0X100.006847896081787258305956655069657199660
15Trevor Carrick0X100.006253826180737562306058635471665899660
16Ashton Sautner0X100.006142875876847556305757595271665299650
17Jordan Subban0X100.005089676565505065304843505350504398530
Rayé
MOYENNE D'ÉQUIPE100.00644882637476756249605961577067559966
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
1Eamon McAdam (R)100.00736083747272737272726750624299630
2Kevin Lankinen100.00687270776766686766686769735899630
Rayé
MOYENNE D'ÉQUIPE100.0071667776706971706970676068509963
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel70707070787854CAN582300,000$


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/RW6026325824120321502316017611.26%26116719.47510154114910162271354.78%90000010.9900000931
2Travis BoydUTICA Comets (VCR)C611536511818049126181541358.29%11115919.0157122313910141424154.69%134200000.8800000055
3Stephen JohnsUTICA Comets (VCR)D6183543347201836910535697.62%66140122.98448481540110160300.00%000000.6100000226
4John HaydenUTICA Comets (VCR)C/LW61212243251035174861907815111.05%17127820.954482716601151611158.89%86600000.6702000222
5Ethan ProwUTICA Comets (VCR)D61430341718048536422486.25%53134722.09077281520112172100.00%000000.5000000121
6Dylan SikuraUTICA Comets (VCR)RW61121628141401755140311038.57%1082113.4701117000281270.00%5000000.6800000311
7Drake CaggiulaUTICA Comets (VCR)RW25111526181203127103285810.68%938315.342571861000045153.57%5600101.3602000135
8Boo NievesUTICA Comets (VCR)C6110152518200395398267410.20%562710.29000020000151056.92%65000010.8000000402
9Steven SantiniUTICA Comets (VCR)D617172422715693868194810.29%65111218.231129300002112200.00%000000.4300001010
10Jordan SubbanUTICA Comets (VCR)D4761824-27175585751195211.76%88104222.181561677000053100.00%100000.4601100001
11Tyler SikuraUTICA Comets (VCR)C6161319114810734711432855.26%1591715.040003420002433045.83%45600000.4102020200
12Trevor CarrickUTICA Comets (VCR)D579101915275363340133122.50%4079814.01123216101258200.00%000000.4800001210
13Roland McKeownUTICA Comets (VCR)D583151819615117304322266.98%56114719.780118540000118000.00%000000.3100001102
14Nathan WalkerUTICA Comets (VCR)LW618917580315111833626.78%676712.5812310540001730052.83%5300000.4400000002
15Anton WedinUTICA Comets (VCR)LW4571017616035258925767.87%365714.620001120000171147.83%4600000.5211000012
16Jean-Sebastien DeaUTICA Comets (VCR)C6167138007356313499.52%74156.8100000000001058.42%29100000.6300000011
17Ashton SautnerUTICA Comets (VCR)D5811112182803116166116.25%2559010.1800000011014100.00%000000.4100000000
Stats d'équipe Total ou en Moyenne960160311471245545351030951171451612549.33%5021563716.29244973235112134726138428955.21%471100120.6018123272231
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
1Eamon McAdamUTICA Comets (VCR)603812100.9192.1135922912615520010.7508601546
2Kevin LankinenUTICA Comets (VCR)31000.9072.29105004430000.0000158000
Stats d'équipe Total ou en Moyenne633912100.9182.1136982913015950010.75086159546


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
Anton WedinUTICA Comets (VCR)LW271993-03-01Yes89 Kg180 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$
Ashton SautnerUTICA Comets (VCR)D261994-05-27No89 Kg185 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Boo NievesUTICA Comets (VCR)C261994-01-23No97 Kg191 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Drake CaggiulaUTICA Comets (VCR)RW281992-01-09 14:02:10No80 Kg178 CMNoNoNo5Pro & Farm1,500,000$399,082$1,500,000$399,082$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Dylan SikuraUTICA Comets (VCR)RW251995-06-01No75 Kg180 CMNoNoNo6Pro & Farm1,000,000$266,055$1,000,000$266,055$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$Lien
Eamon McAdamUTICA Comets (VCR)G251994-09-24Yes91 Kg183 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$
Ethan ProwUTICA Comets (VCR)D271992-11-17Yes82 Kg180 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$
Jean-Sebastien DeaUTICA Comets (VCR)C261994-02-08No76 Kg180 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$Lien
John HaydenUTICA Comets (VCR)C/LW251995-02-14No98 Kg191 CMNoNoNo6Pro & Farm1,000,000$266,055$1,000,000$266,055$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$Lien
Jordan SubbanUTICA Comets (VCR)D251995-03-03No81 Kg175 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$Lien
Kevin LankinenUTICA Comets (VCR)G251995-04-28No84 Kg188 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Melker KarlssonUTICA Comets (VCR)C/RW301990-07-18No82 Kg183 CMNoNoNo2Pro & Farm1,600,000$425,688$1,600,000$425,688$0$0$No1,600,000$Lien
Nathan WalkerUTICA Comets (VCR)LW261994-02-07No85 Kg175 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Roland McKeownUTICA Comets (VCR)D241996-01-20No89 Kg185 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Stephen JohnsUTICA Comets (VCR)D281992-04-18No102 Kg193 CMNoNoNo6Pro & Farm2,000,000$532,110$2,000,000$532,110$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$Lien
Steven SantiniUTICA Comets (VCR)D251995-03-07No93 Kg188 CMNoNoNo1Pro & Farm1,250,000$332,568$1,250,000$332,568$0$0$NoLien
Travis BoydUTICA Comets (VCR)C261993-09-14No86 Kg183 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Trevor CarrickUTICA Comets (VCR)D261994-07-04No89 Kg188 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$Lien
Tyler SikuraUTICA Comets (VCR)C281992-05-18No89 Kg188 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1926.2187 Kg183 CM3.11952,632$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1John HaydenMelker KarlssonDrake Caggiula30122
2Nathan WalkerTravis Boyd30122
3Anton WedinTyler SikuraDylan Sikura25122
4John HaydenBoo NievesJean-Sebastien Dea15131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen Johns35122
2Ethan ProwRoland McKeown35122
3Steven SantiniTrevor Carrick15122
4Ashton Sautner15041
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1John HaydenMelker KarlssonDrake Caggiula55104
2Nathan WalkerTravis Boyd45104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen Johns60014
2Ethan ProwRoland McKeown40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Melker KarlssonJohn Hayden60140
2Travis BoydNathan Walker40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen Johns55050
2Ethan ProwRoland McKeown45050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Melker Karlsson55050Stephen Johns55050
2Travis Boyd45050Ethan ProwRoland McKeown45050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler SikuraJohn Hayden55122
2Travis BoydNathan Walker45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen Johns55122
2Ethan ProwRoland McKeown45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
John HaydenTyler SikuraDrake CaggiulaStephen Johns
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
John HaydenTyler SikuraDrake CaggiulaStephen Johns
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Travis Boyd, Boo Nieves, Jean-Sebastien DeaTravis Boyd, Boo NievesTravis Boyd
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Santini, Trevor Carrick, Ashton SautnerSteven SantiniSteven Santini, Trevor Carrick
Tirs de Pénalité
Drake Caggiula, John Hayden, Tyler Sikura, , Travis Boyd
Gardien
#1 : Eamon McAdam, #2 : Kevin Lankinen
Lignes d'Attaque Perso. en Prol.
Drake Caggiula, John Hayden, Tyler Sikura, , Travis Boyd, Boo Nieves, Boo Nieves, Jean-Sebastien Dea, Nathan Walker, Dylan Sikura, Anton Wedin
Lignes de Défense Perso. en Prol.
, Stephen Johns, Ethan Prow, Roland McKeown, 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
1BELLEVILLE Senators32100000910-12110000057-21100000043140.6679152400745764310163669171152952418651119.09%9366.67%01192209856.82%981182953.64%49587256.77%159211471364418742382
2BRIDGEPORT Sound Tigers310001011011-1210001007701000000134-140.66710192900745764385636691711528120205812325.00%10190.00%11192209856.82%981182953.64%49587256.77%159211471364418742382
3Binghampton Devils22000000734000000000002200000073441.000713200074576435563669171152511010455120.00%4175.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
4CHICAGO Wolves21000100532110000004131000010012-130.750510150074576436263669171152591818255120.00%90100.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
5COLORADO Eagles1000010012-1000000000001000010012-110.50012300745764327636691711522674174125.00%20100.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
6HERSEY Bears31100100111102010010069-31100000052330.5001118291074576436763669171152733136486116.67%16381.25%01192209856.82%981182953.64%49587256.77%159211471364418742382
7HOLLYWOOD Oscar3000020169-32000010146-21000010023-130.500611170074576431136366917115210428305612216.67%15286.67%01192209856.82%981182953.64%49587256.77%159211471364418742382
8IOWA Wild3210000011101110000004312110000077040.66711223300745764312163669171152731212486116.67%6183.33%01192209856.82%981182953.64%49587256.77%159211471364418742382
9LEHIGH VALLEY Phantoms311010009811010000024-22100100074340.667916250074576431046366917115282291006312325.00%24579.17%01192209856.82%981182953.64%49587256.77%159211471364418742382
10MILWAUKEE Admirals2110000024-2000000000002110000024-220.500235017457643796366917115257171216300.00%50100.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
11MONT-LAURIER Sommet440000001531233000000122101100000031281.00015284302745764316763669171152741816658450.00%80100.00%11192209856.82%981182953.64%49587256.77%159211471364418742382
12Manitoba Moose11000000321110000003210000000000021.00035800745764336636691711522731021200.00%3166.67%01192209856.82%981182953.64%49587256.77%159211471364418742382
13Marlies de Toronto21001000853110000005321000100032141.0008142200745764379636691711526892434600.00%11190.91%01192209856.82%981182953.64%49587256.77%159211471364418742382
14PROVIDENCE Bruins3030000029-72020000017-61010000012-100.0002460074576436663669171152682324561200.00%12191.67%01192209856.82%981182953.64%49587256.77%159211471364418742382
15PV Sharapovas431000001192110000003213210000087160.750111930007457643976366917115212035346314428.57%17288.24%01192209856.82%981182953.64%49587256.77%159211471364418742382
16Quebec Nordiques32000100165111100000060621000100105550.833162844017457643996366917115259203749100.00%12283.33%11192209856.82%981182953.64%49587256.77%159211471364418742382
17ROCKFORD IceHogs321000008531010000024-22200000061540.6678142201745764367636691711529025316611218.18%12283.33%01192209856.82%981182953.64%49587256.77%159211471364418742382
18SAN DIEGO Gulls220000002051511000000844110000001211141.00020395900745764313263669171152331083311100.00%4250.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
19STOCKTON Flames11000000303110000003030000000000021.0003690174576433463669171152381182322100.00%40100.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
20Syracruse Crunch4300010014773200010010461100000043170.875142438017457643186636691711529231225817317.65%10190.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
21TUSCON Roadrunners11000000505110000005050000000000021.00059140174576434163669171152183616200.00%20100.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
Total6136120281219813365301860041110269333118602401966432880.721198358556197457643208263669171152159643155610751873518.72%2293086.90%31192209856.82%981182953.64%49587256.77%159211471364418742382
23VICTORIAVILLE Tigres41200010990100000103213120000067-140.50091524007457643150636691711529421226213215.38%10280.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
24WILKIES-BARRIE Penguins4400000013310220000009272200000041381.0001324370174576431146366917115211426548822313.64%240100.00%01192209856.82%981182953.64%49587256.77%159211471364418742382
_Since Last GM Reset6136120281219813365301860041110269333118602401966432880.721198358556197457643208263669171152159643155610751873518.72%2293086.90%31192209856.82%981182953.64%49587256.77%159211471364418742382
_Vs Conference221060140172551711540020038353115201201342014270.614721322041374576437056366917115257316318336962914.52%831087.95%11192209856.82%981182953.64%49587256.77%159211471364418742382
_Vs Division11340110049173282300100321220311010001751290.409499314204745764348763669171152267706819325936.00%33487.88%11192209856.82%981182953.64%49587256.77%159211471364418742382

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6188W119835855620821596431556107519
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6136122812198133
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30186041110269
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3118624019664
Derniers 10 Matchs
WLOTWOTL SOWSOL
620200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1873518.72%2293086.90%3
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
636691711527457643
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
1192209856.82%981182953.64%49587256.77%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
159211471364418742382


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 - 2020-08-0213UTICA Comets4BELLEVILLE Senators3WSommaire du Match
2 - 2020-08-0318BRIDGEPORT Sound Tigers3UTICA Comets4WSommaire du Match
3 - 2020-08-0427UTICA Comets2PV Sharapovas1WSommaire du Match
5 - 2020-08-0646Syracruse Crunch2UTICA Comets1LXSommaire du Match
6 - 2020-08-0759UTICA Comets3ROCKFORD IceHogs0WSommaire du Match
7 - 2020-08-0868UTICA Comets8Quebec Nordiques2WSommaire du Match
8 - 2020-08-0977SAN DIEGO Gulls4UTICA Comets8WSommaire du Match
9 - 2020-08-1087UTICA Comets1VICTORIAVILLE Tigres2LSommaire du Match
11 - 2020-08-12102Syracruse Crunch2UTICA Comets3WSommaire du Match
12 - 2020-08-13122WILKIES-BARRIE Penguins1UTICA Comets3WR3Sommaire du Match
13 - 2020-08-14129UTICA Comets1VICTORIAVILLE Tigres4LSommaire du Match
15 - 2020-08-16148PROVIDENCE Bruins5UTICA Comets1LSommaire du Match
16 - 2020-08-17158UTICA Comets1WILKIES-BARRIE Penguins0WR3Sommaire du Match
18 - 2020-08-19172MONT-LAURIER Sommet0UTICA Comets5WSommaire du Match
19 - 2020-08-20183UTICA Comets4LEHIGH VALLEY Phantoms2WSommaire du Match
20 - 2020-08-21194MONT-LAURIER Sommet2UTICA Comets3WSommaire du Match
22 - 2020-08-23214UTICA Comets3Binghampton Devils2WSommaire du Match
23 - 2020-08-24224UTICA Comets3ROCKFORD IceHogs1WSommaire du Match
24 - 2020-08-25228UTICA Comets3MONT-LAURIER Sommet1WSommaire du Match
25 - 2020-08-26240Quebec Nordiques0UTICA Comets6WSommaire du Match
26 - 2020-08-27254HERSEY Bears4UTICA Comets3LXSommaire du Match
27 - 2020-08-28271TUSCON Roadrunners0UTICA Comets5WSommaire du Match
29 - 2020-08-30283UTICA Comets1COLORADO Eagles2LXSommaire du Match
31 - 2020-09-01300IOWA Wild3UTICA Comets4WSommaire du Match
33 - 2020-09-03321LEHIGH VALLEY Phantoms4UTICA Comets2LSommaire du Match
34 - 2020-09-04339UTICA Comets1MILWAUKEE Admirals4LSommaire du Match
36 - 2020-09-06348PV Sharapovas2UTICA Comets3WSommaire du Match
37 - 2020-09-07363UTICA Comets1MILWAUKEE Admirals0WSommaire du Match
38 - 2020-09-08373Marlies de Toronto3UTICA Comets5WSommaire du Match
40 - 2020-09-10392UTICA Comets4Binghampton Devils1WSommaire du Match
41 - 2020-09-11399WILKIES-BARRIE Penguins1UTICA Comets6WR3Sommaire du Match
42 - 2020-09-12412UTICA Comets5HERSEY Bears2WSommaire du Match
44 - 2020-09-14426CHICAGO Wolves1UTICA Comets4WSommaire du Match
46 - 2020-09-16446BRIDGEPORT Sound Tigers4UTICA Comets3LXSommaire du Match
47 - 2020-09-17457UTICA Comets4VICTORIAVILLE Tigres1WSommaire du Match
48 - 2020-09-18470VICTORIAVILLE Tigres2UTICA Comets3WXXSommaire du Match
49 - 2020-09-19479UTICA Comets12SAN DIEGO Gulls1WSommaire du Match
51 - 2020-09-21495UTICA Comets1PROVIDENCE Bruins2LSommaire du Match
52 - 2020-09-22506HERSEY Bears5UTICA Comets3LSommaire du Match
54 - 2020-09-24522UTICA Comets1CHICAGO Wolves2LXSommaire du Match
55 - 2020-09-25532MONT-LAURIER Sommet0UTICA Comets4WSommaire du Match
56 - 2020-09-26545UTICA Comets3BRIDGEPORT Sound Tigers4LXXSommaire du Match
57 - 2020-09-27555ROCKFORD IceHogs4UTICA Comets2LSommaire du Match
58 - 2020-09-28572UTICA Comets3LEHIGH VALLEY Phantoms2WXSommaire du Match
60 - 2020-09-30583PROVIDENCE Bruins2UTICA Comets0LSommaire du Match
61 - 2020-10-01598UTICA Comets4IOWA Wild6LSommaire du Match
62 - 2020-10-02608STOCKTON Flames0UTICA Comets3WSommaire du Match
64 - 2020-10-04622UTICA Comets3IOWA Wild1WSommaire du Match
65 - 2020-10-05636HOLLYWOOD Oscar3UTICA Comets2LXXSommaire du Match
66 - 2020-10-06649UTICA Comets2Quebec Nordiques3LXSommaire du Match
67 - 2020-10-07658UTICA Comets4Syracruse Crunch3WSommaire du Match
68 - 2020-10-08668HOLLYWOOD Oscar3UTICA Comets2LXSommaire du Match
69 - 2020-10-09685Syracruse Crunch0UTICA Comets6WSommaire du Match
71 - 2020-10-11703UTICA Comets3WILKIES-BARRIE Penguins1WR3Sommaire du Match
72 - 2020-10-12711Manitoba Moose2UTICA Comets3WSommaire du Match
74 - 2020-10-14730UTICA Comets3PV Sharapovas1WSommaire du Match
75 - 2020-10-15737BELLEVILLE Senators5UTICA Comets1LSommaire du Match
76 - 2020-10-16749UTICA Comets3PV Sharapovas5LSommaire du Match
77 - 2020-10-17763BELLEVILLE Senators2UTICA Comets4WSommaire du Match
78 - 2020-10-18772UTICA Comets2HOLLYWOOD Oscar3LXSommaire du Match
79 - 2020-10-19782UTICA Comets3Marlies de Toronto2WXSommaire du Match
81 - 2020-10-21797MILWAUKEE Admirals-UTICA Comets-
82 - 2020-10-22815COLORADO Eagles-UTICA Comets-
84 - 2020-10-24834TUSCON Roadrunners-UTICA Comets-
85 - 2020-10-25839UTICA Comets-CHICAGO Wolves-
86 - 2020-10-26853UTICA Comets-STOCKTON Flames-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-10-28870SAN DIEGO Gulls-UTICA Comets-
89 - 2020-10-29878UTICA Comets-Manitoba Moose-
90 - 2020-10-30886UTICA Comets-STOCKTON Flames-
91 - 2020-10-31898Binghampton Devils-UTICA Comets-
92 - 2020-11-01912UTICA Comets-LAVAL Rockets-
94 - 2020-11-03926BROOKLYN Wolfpack-UTICA Comets-
95 - 2020-11-04943COLORADO Eagles-UTICA Comets-
96 - 2020-11-05951UTICA Comets-TUSCON Roadrunners-
98 - 2020-11-07970UTICA Comets-BROOKLYN Wolfpack-
99 - 2020-11-08979LAVAL Rockets-UTICA Comets-
102 - 2020-11-111000UTICA Comets-BROOKLYN Wolfpack-
103 - 2020-11-121007Marlies de Toronto-UTICA Comets-
105 - 2020-11-141022UTICA Comets-Manitoba Moose-
107 - 2020-11-161029LAVAL Rockets-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
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,464,721$ 1,810,000$ 1,810,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,461,968$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 29 16,606$ 481,574$




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
3382511705441422128294412610031012215716441257023402017113010242275711791302271117511410313741348134750159442176714912494116.47%3433689.50%81997303965.71%1207206958.34%830125566.14%270021291378458893503
34613612028121981336530186004111026933311860240196643288198358556197457643208263669171152159643155610751873518.72%2293086.90%31192209856.82%981182953.64%49587256.77%159211471364418742382
Total Saison Régulière14387290712536202613597144160351232312619772431304741297135162190620111517352393011681391461852010203920581023190852132325664367617.43%5726688.46%113189513762.08%2188389856.13%1325212762.29%4293327627428771635885
Séries
331055000002126-5633000001413142200000713-610213556017932331102106942929173881723738.11%40880.00%119337950.92%18132755.35%7514352.45%2581762457513469
Total Séries1055000002126-5633000001413142200000713-610213556017932331102106942929173881723738.11%40880.00%119337950.92%18132755.35%7514352.45%2581762457513469