UTICA Comets

GP: 57 | W: 40 | L: 13 | OTL: 4 | P: 84
GF: 251 | GA: 88 | PP%: 15.82% | PK%: 91.46%
DG: Ronald Fex | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #740 vs WILKIES-BARRIE Penguins
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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 Clifford0X100.007456556783768566636666606674576391700
2Josh Archibald0X100.008341756866828167606667726755514291690
3Joakim Nordstrom (C)0X100.007041756576828364686364726464545491690
4Josh Leivo0X100.006244706879818967626568606855526091690
5Nic Dowd0X100.007335736880757767796965726658524056690
6Dmitrij Jaskin0XX100.008335766684756865506662626462547189680
7Tyler Pitlick0X100.007935766680826065656367666657526591670
8Boo Nieves0X100.006335756685687265696362626453516691650
9John Hayden (A)0XX100.007650676386736762566262626255516491650
10Tyler Sikura (R)0X100.006242756074599159675661606150504276630
11Dylan Sikura0X100.005235736966616668506763576552504884620
12Julien Gauthier0X100.006589607091505070506565506550504492620
13Mirco Mueller0X100.007241786585816665306457776655528191680
14Steven Santini0X100.007735786281766962305857706555517291650
15Slater Koekkoek0X100.007235786379746562306058716554518373650
16Joakim Ryan0X100.006741756469735764306355686554514787630
17Ashton Sautner (R)0X100.005835746176565861305248575851504283570
18Trevor Carrick0X100.005489537080505070305045525550505738560
Rayé
1Austin Watson0XX100.008871696987786868666867716860537161710
2Tyler Motte0X100.008735756669808765596465726556525780700
3Brendan Leipsic0X100.006635726967827568697165606755526186670
4Travis Boyd (R)0X100.005835766869736868687164666652514774660
5Jean-Sebastien Dea0X100.005535646967586169726465566551504262620
6Joshua Ho-Sang0XX100.005035716869545568505858515952518044590
7Alex Lintuniemi0X100.006589686590505065304641505150504344560
MOYENNE D'ÉQUIPE100.00684671667870696653626163645552587865
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)100.00766681787574767574757050634291650
2Kevin Lankinen (R)100.00736085777272737272726750624391640
Rayé
MOYENNE D'ÉQUIPE100.0075638378747375747374695063439165
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
1Travis BoydUTICA Comets (VCR)C40313970388051921986016615.66%1188422.1097163211100071292058.87%90200031.5803000852
2Josh ArchibaldUTICA Comets (VCR)RW492933624826067442587416611.24%586717.71551029140000005163.53%8500031.4312000365
3Kyle CliffordUTICA Comets (VCR)LW5727356273595136522367716311.44%3122821.554483114611292034160.89%17900031.0103001652
4Slater KoekkoekUTICA Comets (VCR)D50164662574807545145557211.03%61118123.62246481170112143200.00%000001.0500000313
5Mirco MuellerUTICA Comets (VCR)D5711425360260633813543728.15%49127722.42134501490221178010.00%000000.8300000132
6Dmitrij JaskinUTICA Comets (VCR)LW/RW542130513938011274220511539.55%16108420.0813423950004784157.66%47000010.9411000432
7Joakim NordstromUTICA Comets (VCR)LW57262450332204250271612059.59%11110719.4344837147123161616073.40%9400000.9023000023
8Dylan SikuraUTICA Comets (VCR)RW5215334856802348196681487.65%11112021.541121690000002168.92%7400000.8600000103
9Tyler PitlickUTICA Comets (VCR)RW57202747352608047255781747.84%498417.27347351480007532375.00%8400020.9500000423
10Joakim RyanUTICA Comets (VCR)D561130415049510343102246610.78%52128122.8835824106000082300.00%000000.6401010033
11Boo NievesUTICA Comets (VCR)C3415264139401662100318415.00%772521.33178138910161432062.30%97600011.1300000312
12Steven SantiniUTICA Comets (VCR)D5772936516401052911121646.31%55130922.97358411460004200200.00%000000.5500000112
13Josh LeivoUTICA Comets (VCR)LW52152136382002344186591398.06%471413.750112582000033057.78%4500011.0101000321
14John HaydenUTICA Comets (VCR)C/LW51122436302406876111409110.81%784316.540000211231402060.80%92600000.8500000022
15Teddy BluegerVANCOUVER CanucksC18919283060113610025679.00%340522.531128421124771064.25%56500001.3800000301
16Tyler MotteUTICA Comets (VCR)LW1913922161205225105269412.38%331616.660115210005301055.93%11800011.3901000130
17Brendan LeipsicUTICA Comets (VCR)LW5311102117100171789244912.36%33566.720004100111133045.71%3500011.1800000210
18Julien GauthierUTICA Comets (VCR)RW55611171714035107023548.57%03496.3500002000002057.69%2600000.9700000000
19Ashton SautnerUTICA Comets (VCR)D4621416522204763213136.25%1959813.0200007000043000.00%000000.5300000000
20Tyler SikuraUTICA Comets (VCR)C5578151710019267120549.86%23225.87000016000050064.81%16200000.9300000010
21Jean-Sebastien DeaUTICA Comets (VCR)C2758131512016337722636.49%032011.8800000000000065.31%32000000.8100000012
22Nick ShoreVANCOUVER CanucksC513442014287183.57%08116.32000000000150068.60%8600000.9800000000
23Joshua Ho-SangUTICA Comets (VCR)LW/RW31127002312298.33%04214.17000000000000100.00%100000.9400000010
24Dean KukanVANCOUVER CanucksD21010000150120.00%03015.270001000000000.00%000000.6600000000
25Nic DowdUTICA Comets (VCR)C410100036104710.00%05012.6500037000000058.70%4600000.4000000000
26Trevor CarrickUTICA Comets (VCR)D5011140406110.00%27715.410000000002000.00%000000.2600000000
27Alex LintuniemiUTICA Comets (VCR)D2000100300000.00%33316.760000200002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne10173135238368245141011749113129909219310.00%3311759517.303855934251690591469171046861.73%5194000160.95415011434338
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
1Kevin LankinenUTICA Comets (VCR)4129930.9241.462467214607910001.0003410461
2Joonas KorpisaloVANCOUVER Canucks1611410.9151.6197025263050011.0006160000
3Patrik RybarUTICA Comets (VCR)10000.8003.531700150000.0000057000
Stats d'équipe Total ou en Moyenne58401340.9211.5134554198711010011.00095757461


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$252,252$800,000$252,252$0$0$No800,000$Lien
Ashton SautnerUTICA Comets (VCR)D251994-05-27Yes89 Kg185 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Austin WatsonUTICA Comets (VCR)LW/RW271992-01-13No93 Kg193 CMNoNoNo1Pro & Farm1,100,000$346,846$1,100,000$346,846$0$0$NoLien
Boo NievesUTICA Comets (VCR)C251994-01-23No95 Kg191 CMNoNoNo3Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$750,000$Lien
Brendan LeipsicUTICA Comets (VCR)LW251994-05-19No83 Kg178 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Dmitrij JaskinUTICA Comets (VCR)LW/RW261993-03-23No98 Kg188 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Dylan SikuraUTICA Comets (VCR)RW241995-06-01No75 Kg180 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Jean-Sebastien DeaUTICA Comets (VCR)C251994-02-08No80 Kg180 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Joakim NordstromUTICA Comets (VCR)LW271992-02-25No88 Kg185 CMNoNoNo1Pro & Farm1,150,000$362,612$1,150,000$362,612$0$0$NoLien
Joakim RyanUTICA Comets (VCR)D261993-06-17No84 Kg180 CMNoNoNo3Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$750,000$Lien
John HaydenUTICA Comets (VCR)C/LW241995-02-14No98 Kg191 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Josh ArchibaldUTICA Comets (VCR)RW261992-10-06No80 Kg178 CMNoNoNo5Pro & Farm1,000,000$315,315$1,000,000$315,315$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$472,972$1,500,000$472,972$0$0$NoLien
Joshua Ho-SangUTICA Comets (VCR)LW/RW231996-01-22No79 Kg183 CMNoNoNo3Pro & Farm900,000$283,783$900,000$283,783$0$0$No900,000$900,000$Lien
Julien GauthierUTICA Comets (VCR)RW211997-10-15No102 Kg193 CMNoNoNo5Pro & Farm850,000$268,018$850,000$268,018$0$0$No850,000$850,000$850,000$850,000$Lien
Kevin LankinenUTICA Comets (VCR)G241995-04-28Yes84 Kg188 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Kyle CliffordUTICA Comets (VCR)LW281991-01-13No96 Kg188 CMNoNoNo5Pro & Farm1,600,000$504,504$1,600,000$504,504$0$0$No1,600,000$1,600,000$1,600,000$1,600,000$Lien
Mirco MuellerUTICA Comets (VCR)D241995-03-21No95 Kg191 CMNoNoNo3Pro & Farm900,000$283,783$900,000$283,783$0$0$No900,000$900,000$Lien
Nic DowdUTICA Comets (VCR)C291990-05-27No90 Kg188 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Patrik RybarUTICA Comets (VCR)G251993-11-09Yes86 Kg188 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Slater KoekkoekUTICA Comets (VCR)D251994-02-18No88 Kg188 CMNoNoNo1Pro & Farm925,000$291,666$925,000$291,666$0$0$NoLien
Steven SantiniUTICA Comets (VCR)D241995-03-07No93 Kg188 CMNoNoNo2Pro & Farm1,250,000$394,144$1,250,000$394,144$0$0$No1,250,000$Lien
Travis BoydUTICA Comets (VCR)C251993-09-14Yes84 Kg180 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Trevor CarrickUTICA Comets (VCR)D251994-07-04No89 Kg188 CMNoNoNo5Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$750,000$750,000$750,000$Lien
Tyler MotteUTICA Comets (VCR)LW241995-03-10No87 Kg178 CMNoNoNo4Pro & Farm800,000$252,252$800,000$252,252$0$0$No800,000$800,000$800,000$Lien
Tyler PitlickUTICA Comets (VCR)RW271991-11-01No91 Kg188 CMNoNoNo1Pro & Farm1,000,000$315,315$1,000,000$315,315$0$0$NoLien
Tyler SikuraUTICA Comets (VCR)C271992-05-18Yes89 Kg188 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2725.1989 Kg185 CM2.26899,074$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle CliffordBoo NievesJosh Archibald30023
2Joakim NordstromJohn HaydenTyler Pitlick30122
3Dmitrij JaskinTyler SikuraDylan Sikura25122
4Josh LeivoNic DowdJulien Gauthier15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mirco MuellerJoakim Ryan35122
2Slater KoekkoekSteven Santini35122
3Trevor CarrickJoakim Ryan15122
4Mirco MuellerSteven Santini15041
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Josh LeivoBoo NievesJosh Archibald55005
2Joakim NordstromKyle CliffordTyler Pitlick45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joakim RyanNic Dowd60014
2Mirco MuellerSteven Santini40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Boo NievesKyle Clifford55131
2John HaydenJoakim Nordstrom45041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mirco MuellerJoakim Ryan55140
2Slater KoekkoekSteven Santini45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Boo Nieves55050Mirco MuellerJoakim Ryan55050
2Joakim Nordstrom45050Slater KoekkoekSteven Santini45050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Boo NievesKyle Clifford55122
2Josh ArchibaldJoakim Nordstrom45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mirco MuellerJoakim Ryan55122
2Trevor CarrickSteven Santini45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle CliffordBoo NievesJosh ArchibaldMirco MuellerSteven Santini
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle CliffordBoo NievesJosh ArchibaldMirco MuellerSteven Santini
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Pitlick, Dylan Sikura, Boo NievesTyler Pitlick, Dylan SikuraTyler Pitlick
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Santini, Trevor Carrick, Joakim RyanSteven SantiniSlater Koekkoek, Ashton Sautner
Tirs de Pénalité
Kyle Clifford, Josh Leivo, Joakim Nordstrom, Julien Gauthier, Tyler Pitlick
Gardien
#1 : Kevin Lankinen, #2 : Patrik Rybar
Lignes d'Attaque Perso. en Prol.
Kyle Clifford, Josh Leivo, Joakim Nordstrom, Julien Gauthier, Tyler Pitlick, Dylan Sikura, Dylan Sikura, Boo Nieves, John Hayden, Tyler Sikura, Dmitrij Jaskin
Lignes de Défense Perso. en Prol.
Joakim Ryan, Trevor Carrick, Slater Koekkoek, 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
1BELLEVILLE Senators3300000022121110000001019220000001201261.0002240620213462488222924894867401622276000.00%100100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
2BRIDGEPORT Sound Tigers30102000431201010001101000100032140.6674711011346248810792489486740882048511100.00%210100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
3BROOKLYN Wolfpack110000001101111000000110110000000000021.0001122330113462488969248948674021017000.00%000.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
4CHICAGO Wolves4310000015962110000056-122000000103760.750152944011346248816092489486740721640709111.11%18383.33%11388217463.85%838146257.32%54183964.48%18551453975326628352
5COLORADO Eagles22000000615110000002111100000040441.0006101601134624886492489486740401916331417.14%60100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
6CORNWALL Aces110000001101100000000000110000001101121.0001119300113462488839248948674082215000.00%10100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
7HERSEY Bears411002008712010010024-22100010063340.500813210113462488144924894867401202246841119.09%22195.45%01388217463.85%838146257.32%54183964.48%18551453975326628352
8HOLLYWOOD Oscar33000000380382200000027027110000001101161.000387311103134624882829248948674065842000.00%40100.00%21388217463.85%838146257.32%54183964.48%18551453975326628352
9IOWA Wild2110000045-1000000000002110000045-120.500471110134624887692489486740411612301218.33%4250.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
10LAVAL Rockets2010100034-1100010002111010000013-220.50035800134624885092489486740621928361616.25%13376.92%01388217463.85%838146257.32%54183964.48%18551453975326628352
11LEHIGH VALLEY Phantoms22000000835110000005231100000031241.0008162400134624886092489486740491730519333.33%14285.71%01388217463.85%838146257.32%54183964.48%18551453975326628352
12MILWAUKEE Admirals53100010181263210000012842100001064280.800183149011346248819892489486740122285910323626.09%25292.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
13MONT-LAURIER Sommet3030000058-32020000035-21010000023-100.0005914001346248875924894867408133403913215.38%19194.74%01388217463.85%838146257.32%54183964.48%18551453975326628352
14Manitoba Moose11000000505000000000001100000050521.00059140113462488419248948674023714163133.33%70100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
15Marlies de Toronto110000001301300000000000110000001301321.000132437011346248889924894867401262311100.00%30100.00%11388217463.85%838146257.32%54183964.48%18551453975326628352
16PROVIDENCE Bruins421001001091211000004312100010066050.6251018280013462488138924894867407823388513215.38%14285.71%01388217463.85%838146257.32%54183964.48%18551453975326628352
17PV Sharapovas10001000321000000000001000100032121.000358001346248832924894867402771213200.00%6266.67%01388217463.85%838146257.32%54183964.48%18551453975326628352
18ROCKFORD IceHogs10000010431000000000001000001043121.00046100013462488349248948674025816165120.00%7271.43%01388217463.85%838146257.32%54183964.48%18551453975326628352
19SAN DIEGO Gulls440000001801822000000110112200000070781.00018325004134624883469248948674012312642150.00%60100.00%11388217463.85%838146257.32%54183964.48%18551453975326628352
20STOCKTON Flames2020000035-21010000023-11010000012-100.0003470013462488599248948674060122045200.00%70100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
21Syracruse Crunch2010010035-21010000012-11000010023-110.2503690013462488489248948674047132635500.00%130100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
22TUSCON Roadrunners430000101697220000008442100001085381.0001626420013462488173924894867409720447824625.00%19194.74%01388217463.85%838146257.32%54183964.48%18551453975326628352
Total57331304430251881632816902100129438629174023301224577840.73725145070111913462488271592489486740110230255510731772815.82%2462191.46%61388217463.85%838146257.32%54183964.48%18551453975326628352
24VICTORIAVILLE Tigres11000000826110000008260000000000021.0008122000134624884992489486740235821100.00%40100.00%11388217463.85%838146257.32%54183964.48%18551453975326628352
25WILKIES-BARRIE Penguins110000001501511000000150150000000000021.0001527420113462488899248948674022830100.00%30100.00%01388217463.85%838146257.32%54183964.48%18551453975326628352
_Since Last GM Reset57331304430251881632816902100129438629174023301224577840.73725145070111913462488271592489486740110230255510731772815.82%2462191.46%61388217463.85%838146257.32%54183964.48%18551453975326628352
_Vs Conference3520603330126576918105021005828301710101230682939550.786126223349011134624881599924894867407191813536601292116.28%1541490.91%31388217463.85%838146257.32%54183964.48%18551453975326628352
_Vs Division1682003108022589420010051123974000210291019210.656801442240713462488935924894867402567312426841921.95%55296.36%31388217463.85%838146257.32%54183964.48%18551453975326628352

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5784W3251450701271511023025551073119
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
573313443025188
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28169210012943
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
29174233012245
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1772815.82%2462191.46%6
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
9248948674013462488
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
1388217463.85%838146257.32%54183964.48%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
18551453975326628352


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 Bears2UTICA Comets1LSommaire du Match
13 - 2020-01-27116UTICA Comets11CORNWALL Aces0WSommaire du Match
15 - 2020-01-29123UTICA Comets3SAN DIEGO Gulls0WSommaire du Match
17 - 2020-01-31140UTICA Comets7BELLEVILLE Senators0WSommaire du Match
19 - 2020-02-02147UTICA Comets2IOWA Wild4LSommaire du Match
20 - 2020-02-03156CHICAGO Wolves3UTICA Comets1LSommaire du Match
22 - 2020-02-05177PROVIDENCE Bruins1UTICA Comets3WSommaire du Match
23 - 2020-02-06180UTICA Comets4ROCKFORD IceHogs3WXXSommaire du Match
25 - 2020-02-08201HOLLYWOOD Oscar0UTICA Comets14WSommaire du Match
26 - 2020-02-09214TUSCON Roadrunners2UTICA Comets3WSommaire du Match
27 - 2020-02-10226UTICA Comets1STOCKTON Flames2LSommaire du Match
28 - 2020-02-11232UTICA Comets4COLORADO Eagles0WSommaire du Match
29 - 2020-02-12248MILWAUKEE Admirals6UTICA Comets2LSommaire du Match
31 - 2020-02-14265UTICA Comets3LEHIGH VALLEY Phantoms1WSommaire du Match
32 - 2020-02-15277STOCKTON Flames3UTICA Comets2LSommaire du Match
33 - 2020-02-16293BROOKLYN Wolfpack0UTICA Comets11WSommaire du Match
34 - 2020-02-17304UTICA Comets3PV Sharapovas2WXSommaire du Match
35 - 2020-02-18312UTICA Comets2Syracruse Crunch3LXSommaire du Match
37 - 2020-02-20329UTICA Comets13Marlies de Toronto0WSommaire du Match
38 - 2020-02-21337UTICA Comets3PROVIDENCE Bruins4LXSommaire du Match
39 - 2020-02-22346WILKIES-BARRIE Penguins0UTICA Comets15WR3Sommaire du Match
40 - 2020-02-23362BELLEVILLE Senators1UTICA Comets10WSommaire du Match
42 - 2020-02-25378HERSEY Bears2UTICA Comets1LXSommaire du Match
43 - 2020-02-26392UTICA Comets4SAN DIEGO Gulls0WSommaire du Match
44 - 2020-02-27404UTICA Comets11HOLLYWOOD Oscar0WSommaire du Match
45 - 2020-02-28413LEHIGH VALLEY Phantoms2UTICA Comets5WSommaire du Match
46 - 2020-02-29431BRIDGEPORT Sound Tigers1UTICA Comets0LSommaire du Match
47 - 2020-03-01441UTICA Comets3CHICAGO Wolves0WSommaire du Match
49 - 2020-03-03453UTICA Comets5Manitoba Moose0WSommaire du Match
50 - 2020-03-04465VICTORIAVILLE Tigres2UTICA Comets8WSommaire du Match
52 - 2020-03-06482UTICA Comets3PROVIDENCE Bruins2WSommaire du Match
53 - 2020-03-07489Syracruse Crunch2UTICA Comets1LSommaire du Match
55 - 2020-03-09508COLORADO Eagles1UTICA Comets2WSommaire du Match
57 - 2020-03-11525UTICA Comets2MONT-LAURIER Sommet3LSommaire du Match
58 - 2020-03-12534UTICA Comets5TUSCON Roadrunners3WSommaire du Match
59 - 2020-03-13542CHICAGO Wolves3UTICA Comets4WSommaire du Match
60 - 2020-03-14553UTICA Comets7CHICAGO Wolves3WSommaire du Match
61 - 2020-03-15568SAN DIEGO Gulls0UTICA Comets4WSommaire du Match
62 - 2020-03-16576UTICA Comets4MILWAUKEE Admirals3WSommaire du Match
63 - 2020-03-17594BRIDGEPORT Sound Tigers0UTICA Comets1WXSommaire du Match
65 - 2020-03-19613PROVIDENCE Bruins2UTICA Comets1LSommaire du Match
66 - 2020-03-20627UTICA Comets3BRIDGEPORT Sound Tigers2WXSommaire du Match
67 - 2020-03-21638LAVAL Rockets1UTICA Comets2WXSommaire du Match
68 - 2020-03-22651UTICA Comets4HERSEY Bears0WSommaire du Match
69 - 2020-03-23663MONT-LAURIER Sommet2UTICA Comets1LSommaire du Match
70 - 2020-03-24677UTICA Comets2IOWA Wild1WSommaire du Match
72 - 2020-03-26690MONT-LAURIER Sommet3UTICA Comets2LSommaire du Match
73 - 2020-03-27702UTICA Comets2MILWAUKEE Admirals1WXXSommaire du Match
74 - 2020-03-28716MILWAUKEE Admirals0UTICA Comets3WSommaire du Match
75 - 2020-03-29724UTICA Comets5BELLEVILLE Senators0WSommaire du Match
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
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,430,609$ 2,427,500$ 2,427,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,745,925$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 35 30,878$ 1,080,730$




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
33573313044302518816328169021001294386291740233012245778425145070111913462488271592489486740110230255510731772815.82%2462191.46%61388217463.85%838146257.32%54183964.48%18551453975326628352
Total Saison Régulière573313044302518816328169021001294386291740233012245778425145070111913462488271592489486740110230255510731772815.82%2462191.46%61388217463.85%838146257.32%54183964.48%18551453975326628352
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