UTICA Comets

GP: 7 | W: 5 | L: 1 | OTL: 1 | P: 11
GF: 38 | GA: 12 | PP%: 28.00% | PK%: 89.74%
DG: Ronald Fex | Morale : 99 | Moyenne d'Équipe : 64
Prochain matchs #104 vs HERSEY Bears
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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
1Kyle Clifford0X100.007456556783768566636666606674576394700
2Josh Archibald0X100.008341756866828167606667726755514297690
3Joakim Nordstrom (C)0X100.007041756576828364686364726464545497690
4Josh Leivo0X100.006244706879818967626568606855526095690
5Zach Sanford0X100.006441736688778065696663636454516597680
6Brendan Leipsic0X100.006635726967827568697165606755526194670
7Teddy Blueger0X100.007744756971776468716567696851506997670
8Tyler Pitlick0X100.007935766680826065656367666657526594670
9John Hayden (A)0XX100.007650676386736762566262626255516494650
10Jean-Sebastien Dea0X100.005535646967586169726465566551504297620
11Jonny Brodzinski0XX100.006835766379695662655961586152515297620
12Julien Gauthier0X100.006589607091505070506565506550504497620
13Stephen Johns (A)0X100.008743796886809270305256817256626497710
14Mirco Mueller0X100.007241786585816665306457776655528194680
15Steven Santini0X100.007735786281766962305857706555517297650
16Mark Barberio0X100.006235796077735660305257786560534094630
17Ashton Sautner (R)0X100.005835746176565861305248575851504295570
18Brandon Hickey (R)0X100.005589695981495059304641535150504494540
Rayé
1Boo Nieves0X100.006335756685687265696362626453516693650
2Daniel Carr0X100.005235726973535369506969616954513693630
3Luke Johnson0X100.005635676968565768716463556451505593610
4Joshua Ho-Sang0XX100.005035716869545568505858515952518094590
5Dean Kukan0X100.006235756278706261306052626252514287610
6Alex Lintuniemi0X100.006589686590505065304641505150504394560
MOYENNE D'ÉQUIPE100.00674572667869666552616063645552569564
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
1Patrik Rybar (R)100.00766681787574767574757050634297650
2Kevin Lankinen (R)100.00736085777272737272726750624393640
Rayé
MOYENNE D'ÉQUIPE100.0075638378747375747374695063439565
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel70707070777758CAN5841,000,000$


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
1Josh ArchibaldUTICA Comets (VCR)RW7510151440494992910.20%012618.14044117000001062.50%800002.3601000022
2Kyle CliffordUTICA Comets (VCR)LW785131640973582122.86%015922.762136171121301083.33%1200011.6301000121
3Teddy BluegerUTICA Comets (VCR)C749131620611418359.76%116123.141015171122361061.57%22900001.6100000201
4Stephen JohnsUTICA Comets (VCR)D74711111202132731514.81%316323.392241021101425000.00%000001.3400000100
5Mirco MuellerUTICA Comets (VCR)D7167840721711115.88%415922.80011619011029000.00%000000.8800000000
6Steven SantiniUTICA Comets (VCR)D72468120134203510.00%415922.77112919000030000.00%000000.7500000000
7Joakim NordstromUTICA Comets (VCR)LW7156310067289253.57%213118.830225220114200066.67%600000.9101000000
8Tyler PitlickUTICA Comets (VCR)RW73361201413712288.11%011816.92101522000060066.67%900001.0100000000
9Jonny BrodzinskiUTICA Comets (VCR)C/RW714546010721784.76%012217.47022222000170058.24%9100000.8200000000
10Mark BarberioUTICA Comets (VCR)D7235120042174911.76%914320.5600000000127100.00%000000.6900000010
11Nick ShoreVANCOUVER CanucksC513442014287183.57%08116.32000000000150068.60%8600000.9800000000
12Jordan WealVANCOUVER CanucksC11232005151320.00%02222.2010124000000157.14%1400002.7000000100
13Jean-Sebastien DeaUTICA Comets (VCR)C7213320361951510.53%07811.2200000000000065.52%8700000.7600000010
14Zach SanfordUTICA Comets (VCR)LW712330054198105.26%08011.5500000000000044.44%900000.7411000000
15Joshua Ho-SangUTICA Comets (VCR)LW/RW31127002312298.33%04214.17000000000000100.00%100000.9400000010
16Dean KukanUTICA Comets (VCR)D21010000150120.00%03015.270001000000000.00%000000.6600000000
17Ashton SautnerUTICA Comets (VCR)D6011440416110.00%07913.320000000003000.00%000000.2500000000
18Brendan LeipsicUTICA Comets (VCR)LW70110201111230.00%0466.6600002000010040.00%500000.4300000000
19John HaydenUTICA Comets (VCR)C/LW1011-100212020.00%01515.2300000000010078.95%1900001.3100000000
20Brandon HickeyUTICA Comets (VCR)D3011360202000.00%14515.110000900001000.00%000000.4400000000
21Julien GauthierUTICA Comets (VCR)RW710110011155920.00%0426.0900001000000040.00%500000.4700000000
22Josh LeivoUTICA Comets (VCR)LW2000040032030.00%02110.83000000000000100.00%200000.0000000000
23Alex LintuniemiUTICA Comets (VCR)D2000100300000.00%33316.760000200002000.00%000000.0000000000
24Luke JohnsonUTICA Comets (VCR)C1000020022130.00%01212.4700000000000062.50%800000.0000000000
Stats d'équipe Total ou en Moyenne1243969108120780133814101062639.51%27208116.788132152203347132414163.28%59100011.0414000574
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
1Joonas KorpisaloVANCOUVER Canucks75110.9161.6942602121430001.000470000
Stats d'équipe Total ou en Moyenne75110.9161.6942602121430001.000470000


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
Alex LintuniemiUTICA Comets (VCR)D231995-09-23No105 Kg191 CMNoNoNo2Pro & Farm800,000$727,927$800,000$727,927$0$0$No800,000$Lien
Ashton SautnerUTICA Comets (VCR)D251994-05-27Yes89 Kg185 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Boo NievesUTICA Comets (VCR)C251994-01-23No95 Kg191 CMNoNoNo3Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$Lien
Brandon HickeyUTICA Comets (VCR)D231996-04-13Yes91 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Brendan LeipsicUTICA Comets (VCR)LW251994-05-19No83 Kg178 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Daniel CarrUTICA Comets (VCR)LW271991-11-01No88 Kg183 CMNoNoNo1Pro & Farm1,000,000$909,909$1,000,000$909,909$0$0$NoLien
Dean KukanUTICA Comets (VCR)D261993-07-08No85 Kg188 CMNoNoNo3Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$Lien
Jean-Sebastien DeaUTICA Comets (VCR)C251994-02-08No80 Kg180 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Joakim NordstromUTICA Comets (VCR)LW271992-02-25No88 Kg185 CMNoNoNo1Pro & Farm1,150,000$1,046,396$1,150,000$1,046,396$0$0$NoLien
John HaydenUTICA Comets (VCR)C/LW241995-02-14No98 Kg191 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Jonny BrodzinskiUTICA Comets (VCR)C/RW261993-06-19No95 Kg185 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Josh ArchibaldUTICA Comets (VCR)RW261992-10-06No80 Kg178 CMNoNoNo5Pro & Farm1,000,000$909,909$1,000,000$909,909$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Josh LeivoUTICA Comets (VCR)LW261993-05-26No87 Kg188 CMNoNoNo1Pro & Farm1,500,000$1,364,864$1,500,000$1,364,864$0$0$NoLien
Joshua Ho-SangUTICA Comets (VCR)LW/RW231996-01-22No79 Kg183 CMNoNoNo3Pro & Farm900,000$818,918$900,000$818,918$0$0$No900,000$900,000$Lien
Julien GauthierUTICA Comets (VCR)RW211997-10-15No102 Kg193 CMNoNoNo5Pro & Farm850,000$773,423$850,000$773,423$0$0$No850,000$850,000$850,000$850,000$Lien
Kevin LankinenUTICA Comets (VCR)G241995-04-28Yes84 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Kyle CliffordUTICA Comets (VCR)LW281991-01-13No96 Kg188 CMNoNoNo5Pro & Farm1,600,000$1,455,855$1,600,000$1,455,855$0$0$No1,600,000$1,600,000$1,600,000$1,600,000$Lien
Luke JohnsonUTICA Comets (VCR)C241994-09-19No81 Kg180 CMNoNoNo3Pro & Farm925,000$841,666$925,000$841,666$0$0$No925,000$925,000$Lien
Mark BarberioUTICA Comets (VCR)D291990-03-23No91 Kg185 CMNoNoNo4Pro & Farm1,450,000$1,319,369$1,450,000$1,319,369$0$0$No1,450,000$1,450,000$1,450,000$Lien
Mirco MuellerUTICA Comets (VCR)D241995-03-21No95 Kg191 CMNoNoNo3Pro & Farm900,000$818,918$900,000$818,918$0$0$No900,000$900,000$Lien
Patrik RybarUTICA Comets (VCR)G251993-11-09Yes86 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Stephen JohnsUTICA Comets (VCR)D271992-04-18No100 Kg193 CMNoNoNo1Pro & Farm2,000,000$1,819,819$2,000,000$1,819,819$0$0$NoLien
Steven SantiniUTICA Comets (VCR)D241995-03-07No93 Kg188 CMNoNoNo2Pro & Farm1,250,000$1,137,387$1,250,000$1,137,387$0$0$No1,250,000$Lien
Teddy BluegerUTICA Comets (VCR)C251994-08-15No84 Kg183 CMNoNoNo5Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$Lien
Tyler PitlickUTICA Comets (VCR)RW271991-11-01No91 Kg188 CMNoNoNo1Pro & Farm1,000,000$909,909$1,000,000$909,909$0$0$NoLien
Zach SanfordUTICA Comets (VCR)LW241994-11-09No94 Kg193 CMNoNoNo5Pro & Farm1,000,000$909,909$1,000,000$909,909$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.1290 Kg185 CM2.50983,654$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle CliffordTeddy BluegerJosh Archibald35023
2Joakim NordstromJohn HaydenTyler Pitlick30023
3Zach SanfordJean-Sebastien DeaJosh Leivo25023
4Brendan LeipsicJonny BrodzinskiJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen JohnsMark Barberio35032
2Mirco MuellerSteven Santini35032
3Brandon HickeyAshton Sautner15032
4Stephen JohnsMark Barberio15041
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle CliffordTeddy BluegerJosh Archibald55005
2Joakim NordstromJonny BrodzinskiTyler Pitlick45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen JohnsBrandon Hickey60014
2Mirco MuellerSteven Santini40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Teddy BluegerKyle Clifford55131
2John HaydenJoakim Nordstrom45041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen JohnsMark Barberio55140
2Mirco MuellerSteven Santini45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Teddy Blueger55050Stephen JohnsMark Barberio55050
2Jonny Brodzinski45050Mirco MuellerSteven Santini45050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Teddy BluegerKyle Clifford55122
2John HaydenJoakim Nordstrom45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen JohnsMark Barberio55122
2Mirco MuellerSteven Santini45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle CliffordTeddy BluegerJosh ArchibaldStephen JohnsMark Barberio
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle CliffordTeddy BluegerJosh ArchibaldStephen JohnsMark Barberio
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Pitlick, Brendan Leipsic, Teddy BluegerTyler Pitlick, Brendan LeipsicTyler Pitlick
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Santini, Mark Barberio, Ashton SautnerSteven SantiniSteven Santini, Mark Barberio
Tirs de Pénalité
Kyle Clifford, Josh Archibald, Joakim Nordstrom, Zach Sanford, Tyler Pitlick
Gardien
#1 : Kevin Lankinen, #2 : Patrik Rybar
Lignes d'Attaque Perso. en Prol.
Kyle Clifford, Josh Archibald, Joakim Nordstrom, Zach Sanford, Tyler Pitlick, Brendan Leipsic, Brendan Leipsic, Teddy Blueger, John Hayden, Jonny Brodzinski, Julien Gauthier
Lignes de Défense Perso. en Prol.
Stephen Johns, Mark Barberio, Brandon Hickey, Steven Santini, Mirco Mueller


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
1HERSEY Bears1000010023-1000000000001000010023-110.5002350019126135138126127828214172150.00%7185.71%021130569.18%8616352.76%689968.69%241194112367242
2HOLLYWOOD Oscar110000001301311000000130130000000000021.00013253801191261105138126127801410000.00%20100.00%221130569.18%8616352.76%689968.69%241194112367242
3LAVAL Rockets1010000013-2000000000001010000013-200.0001230019126125138126127836824217114.29%11372.73%021130569.18%8616352.76%689968.69%241194112367242
4MILWAUKEE Admirals11000000725110000007250000000000021.000712190019126141138126127823716235240.00%80100.00%021130569.18%8616352.76%689968.69%241194112367242
5SAN DIEGO Gulls11000000707110000007070000000000021.000713200119126184138126127850617000.00%30100.00%121130569.18%8616352.76%689968.69%241194112367242
6TUSCON Roadrunners21000010844110000005231000001032141.00081220001912611051381261278517163511327.27%80100.00%021130569.18%8616352.76%689968.69%241194112367242
Total7410011038122644000000324283010011068-2110.7863867105021912613951381261278143258012325728.00%39489.74%321130569.18%8616352.76%689968.69%241194112367242
_Since Last GM Reset7410011038122644000000324283010011068-2110.7863867105021912613951381261278143258012325728.00%39489.74%321130569.18%8616352.76%689968.69%241194112367242
_Vs Conference6310011025121333000000194153010011068-290.750254267011912612901381261278143247611325728.00%37489.19%121130569.18%8616352.76%689968.69%241194112367242
_Vs Division410001102842431000000252231000011032150.625285078021912612941381261278568266211327.27%130100.00%321130569.18%8616352.76%689968.69%241194112367242

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
711W13867105395143258012302
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
74101103812
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4400000324
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
301011068
Derniers 10 Matchs
WLOTWOTL SOWSOL
510100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
25728.00%39489.74%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
1381261278191261
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
21130569.18%8616352.76%689968.69%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
241194112367242


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 - 2020-01-151MILWAUKEE Admirals2UTICA Comets7WSommaire du Match
2 - 2020-01-1613UTICA Comets2HERSEY Bears3LXSommaire du Match
3 - 2020-01-1737HOLLYWOOD Oscar0UTICA Comets13WSommaire du Match
4 - 2020-01-1849UTICA Comets3TUSCON Roadrunners2WXXSommaire du Match
5 - 2020-01-1962SAN DIEGO Gulls0UTICA Comets7WSommaire du Match
7 - 2020-01-2175UTICA Comets1LAVAL Rockets3LSommaire du Match
9 - 2020-01-2384TUSCON Roadrunners2UTICA Comets5WSommaire du Match
12 - 2020-01-26104HERSEY Bears-UTICA Comets-
13 - 2020-01-27116UTICA Comets-CORNWALL Aces-
15 - 2020-01-29123UTICA Comets-SAN DIEGO Gulls-
17 - 2020-01-31140UTICA Comets-BELLEVILLE Senators-
19 - 2020-02-02147UTICA Comets-IOWA Wild-
20 - 2020-02-03156CHICAGO Wolves-UTICA Comets-
22 - 2020-02-05177PROVIDENCE Bruins-UTICA Comets-
23 - 2020-02-06180UTICA Comets-ROCKFORD IceHogs-
25 - 2020-02-08201HOLLYWOOD Oscar-UTICA Comets-
26 - 2020-02-09214TUSCON Roadrunners-UTICA Comets-
27 - 2020-02-10226UTICA Comets-STOCKTON Flames-
28 - 2020-02-11232UTICA Comets-COLORADO Eagles-
29 - 2020-02-12248MILWAUKEE Admirals-UTICA Comets-
31 - 2020-02-14265UTICA Comets-LEHIGH VALLEY Phantoms-
32 - 2020-02-15277STOCKTON Flames-UTICA Comets-
33 - 2020-02-16293BROOKLYN Wolfpack-UTICA Comets-
34 - 2020-02-17304UTICA Comets-PV Sharapovas-
35 - 2020-02-18312UTICA Comets-Syracruse Crunch-
37 - 2020-02-20329UTICA Comets-Marlies de Toronto-
38 - 2020-02-21337UTICA Comets-PROVIDENCE Bruins-
39 - 2020-02-22346WILKIES-BARRIE Penguins-UTICA Comets-
40 - 2020-02-23362BELLEVILLE Senators-UTICA Comets-
42 - 2020-02-25378HERSEY Bears-UTICA Comets-
43 - 2020-02-26392UTICA Comets-SAN DIEGO Gulls-
44 - 2020-02-27404UTICA Comets-HOLLYWOOD Oscar-
45 - 2020-02-28413LEHIGH VALLEY Phantoms-UTICA Comets-
46 - 2020-02-29431BRIDGEPORT Sound Tigers-UTICA Comets-
47 - 2020-03-01441UTICA Comets-CHICAGO Wolves-
49 - 2020-03-03453UTICA Comets-Manitoba Moose-
50 - 2020-03-04465VICTORIAVILLE Tigres-UTICA Comets-
52 - 2020-03-06482UTICA Comets-PROVIDENCE Bruins-
53 - 2020-03-07489Syracruse Crunch-UTICA Comets-
55 - 2020-03-09508COLORADO Eagles-UTICA Comets-
57 - 2020-03-11525UTICA Comets-MONT-LAURIER Sommet-
58 - 2020-03-12534UTICA Comets-TUSCON Roadrunners-
59 - 2020-03-13542CHICAGO Wolves-UTICA Comets-
60 - 2020-03-14553UTICA Comets-CHICAGO Wolves-
61 - 2020-03-15568SAN DIEGO Gulls-UTICA Comets-
62 - 2020-03-16576UTICA Comets-MILWAUKEE Admirals-
63 - 2020-03-17594BRIDGEPORT Sound Tigers-UTICA Comets-
65 - 2020-03-19613PROVIDENCE Bruins-UTICA Comets-
66 - 2020-03-20627UTICA Comets-BRIDGEPORT Sound Tigers-
67 - 2020-03-21638LAVAL Rockets-UTICA Comets-
68 - 2020-03-22651UTICA Comets-HERSEY Bears-
69 - 2020-03-23663MONT-LAURIER Sommet-UTICA Comets-
70 - 2020-03-24677UTICA Comets-IOWA Wild-
72 - 2020-03-26690MONT-LAURIER Sommet-UTICA Comets-
73 - 2020-03-27702UTICA Comets-MILWAUKEE Admirals-
74 - 2020-03-28716MILWAUKEE Admirals-UTICA Comets-
75 - 2020-03-29724UTICA Comets-BELLEVILLE Senators-
77 - 2020-03-31740UTICA Comets-WILKIES-BARRIE Penguins-
78 - 2020-04-01753LAVAL Rockets-UTICA Comets-
79 - 2020-04-02769BROOKLYN Wolfpack-UTICA Comets-
80 - 2020-04-03776UTICA Comets-COLORADO Eagles-
81 - 2020-04-04793UTICA Comets-BRIDGEPORT Sound Tigers-
82 - 2020-04-05803ROCKFORD IceHogs-UTICA Comets-
84 - 2020-04-07820Marlies de Toronto-UTICA Comets-
85 - 2020-04-08831UTICA Comets-VICTORIAVILLE Tigres-
86 - 2020-04-09848CORNWALL Aces-UTICA Comets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11860UTICA Comets-WILKIES-BARRIE Penguins-
89 - 2020-04-12872HOLLYWOOD Oscar-UTICA Comets-
90 - 2020-04-13886UTICA Comets-HERSEY Bears-
91 - 2020-04-14898ROCKFORD IceHogs-UTICA Comets-
92 - 2020-04-15910UTICA Comets-ROCKFORD IceHogs-
93 - 2020-04-16924UTICA Comets-BROOKLYN Wolfpack-
94 - 2020-04-17932UTICA Comets-LAVAL Rockets-
95 - 2020-04-18938Binghampton Devils-UTICA Comets-
96 - 2020-04-19957UTICA Comets-Binghampton Devils-
97 - 2020-04-20962Manitoba Moose-UTICA Comets-
99 - 2020-04-22982COLORADO Eagles-UTICA Comets-
100 - 2020-04-23991UTICA Comets-Marlies de Toronto-
102 - 2020-04-251011Marlies de Toronto-UTICA Comets-
105 - 2020-04-281030IOWA Wild-UTICA Comets-
106 - 2020-04-291037UTICA Comets-BROOKLYN Wolfpack-
109 - 2020-05-021056PV Sharapovas-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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
323,785$ 2,557,500$ 2,557,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 233,695$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 101 32,050$ 3,237,050$




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
337410011038122644000000324283010011068-2113867105021912613951381261278143258012325728.00%39489.74%321130569.18%8616352.76%689968.69%241194112367242
Total Saison Régulière7410011038122644000000324283010011068-2113867105021912613951381261278143258012325728.00%39489.74%321130569.18%8616352.76%689968.69%241194112367242
Séries
32171160000039336108200000261610734000001317-4223969108029131435111531601613745513215231075810.67%721381.94%030062647.92%29858750.77%12225448.03%451314431137235117
Total Séries171160000039336108200000261610734000001317-4223969108029131435111531601613745513215231075810.67%721381.94%030062647.92%29858750.77%12225448.03%451314431137235117