UTICA Comets

GP: 76 | W: 55 | L: 17 | OTL: 4 | P: 114
GF: 415 | GA: 127 | PP%: 23.53% | PK%: 88.61%
DG: Ronald Fex | Morale : 99 | Moyenne d'Équipe : 62
Prochain matchs #984 vs LAVAL Rockets
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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
1Nick Shore0X100.006541807472818168746963686559556190700
2Joakim Nordstrom (C)0X100.007041756576828364686364726464545490690
3Warren Foegele (R)0X100.007435736580809064686365696553516691690
4Boo Nieves0X100.006335756685687265696362626453516690650
5Charles Hudon0X100.008235746470786663666264606454515691650
6John Hayden (A)0XX100.007650676386736762566262626255516491650
7Daniel Carr0X100.005235726973535369506969616954513690630
8Jean-Sebastien Dea0X100.005535646967586169726465566551504290620
9Jonny Brodzinski0XX100.006835766379695662655961586152515290620
10Julien Gauthier0X100.006589607091505070506565506550504490620
11Luke Johnson0X100.005635676968565768716463556451505560610
12Pierre Engvall (R)0X100.005689606785505067506262506250504490600
13Stephen Johns (A)0X100.008743796886809270305256817256626486710
14Steven Santini0X100.007735786281766962305857706555517271650
15Sean Walker (R)0X100.006135766772676967305957616752504284630
16Dean Kukan0X100.006235756278706261306052626252514283610
17Ian McCoshen0X100.006635666087555960304846575652517681580
18Ashton Sautner (R)0X100.005835746176565861305248575851504290570
Rayé
1Brandon Crawley (R)0X100.005489486378505063304742505250504472540
2Brandon Hickey (R)0X100.005589695981495059304641535150504443540
3Blake Hillman (R)0X100.005089685373465053304641505150504925510
MOYENNE D'ÉQUIPE100.00645070657864646449595760625351538062
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)100.00766681787574767574757050634284650
2Kevin Lankinen (R)100.00736085777272737272726750624390640
Rayé
MOYENNE D'ÉQUIPE100.0075638378747375747374695063438765
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet78727276808062CAN553500,000$


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
1Nick ShoreUTICA Comets (VCR)C754668114752204920941813530511.00%14163421.804111535178336222779066.76%210900031.3905000858
2Joakim NordstromUTICA Comets (VCR)LW723751885826062803148325511.78%16118116.418122043176246172574262.67%7500121.4925000274
3Charles HudonUTICA Comets (VCR)LW7633548779560180532645720612.50%12142018.694610321911125461169.42%12100021.2303000767
4Boo NievesUTICA Comets (VCR)C762756837622045132304902158.88%8132917.49310132813910181554066.64%148400021.2500000411
5Warren FoegeleUTICA Comets (VCR)LW6641418268240827231610127112.97%15120418.2585133212201191435058.75%8000021.3615000584
6Greg PaterynVANCOUVER CanucksD561256686648013350118367410.17%33132823.734913471510223161200.00%000001.0200000330
7Julien GauthierUTICA Comets (VCR)RW762741686954011150281631489.61%1122716.1526822142000004351.85%8100011.1100000153
8Daniel CarrUTICA Comets (VCR)LW763235676812019562777918511.55%584811.1600000000005067.44%4300031.5802000513
9Jean-Sebastien DeaUTICA Comets (VCR)C762838666510029752436718411.52%490511.910112190001102168.30%85800021.4600000334
10Sean WalkerUTICA Comets (VCR)D58115263722206959150441047.33%71125921.72371039790001123110.00%000001.0000000124
11Stephen JohnsUTICA Comets (VCR)D6018446256460138481595411211.32%51128221.37551037731015138100.00%000000.9711000501
12Dean KukanUTICA Comets (VCR)D6710455596200902769205514.49%52116717.43022224000075300.00%000000.9400000022
13Mark BarberioVANCOUVER CanucksD6122315384404536156358214.10%70146524.038513531530002209210.00%000010.7200000135
14Josh LeivoVANCOUVER CanucksLW58133548391404562225681815.78%192615.971237320004262069.23%7800001.0412000212
15Ashton SautnerUTICA Comets (VCR)D7410344481160412395195010.53%42150020.28268201210000146100.00%000000.5900000031
16John HaydenUTICA Comets (VCR)C/LW661816344528061271703610610.59%45568.4300010000001066.09%51900001.2200000021
17Steven SantiniUTICA Comets (VCR)D36824326418068259129458.79%2378121.7111229530001110000.00%000000.8200000021
18Jonny BrodzinskiUTICA Comets (VCR)C/RW7382432602808133155381155.16%785211.68022270000172070.99%16200000.7500000020
19Pierre EngvallUTICA Comets (VCR)LW618243240100181110236777.84%25008.2100001000022069.01%7100001.2800000001
20Ian McCoshenUTICA Comets (VCR)D566253162520852051184311.76%28101118.06134363000045000.00%000000.6100000021
21Luke JohnsonUTICA Comets (VCR)C2916112774030271113511414.41%1733811.66112490002211069.50%20000021.6000000001
22Brendan LeipsicVANCOUVER CanucksLW25818262480181367204711.94%12449.770116110002260070.00%2000012.1301000200
23Kyle CliffordVANCOUVER CanucksLW853881602142751518.52%011614.5100000000000080.00%500011.3800000102
24Brandon CrawleyUTICA Comets (VCR)D4717855315504288173.57%1674315.82011553000026100.00%000000.2200100000
25Brandon HickeyUTICA Comets (VCR)D2508832200255179180.00%1238515.4400001000018000.00%000000.4100000000
26Tyler PitlickVANCOUVER CanucksRW91676802411299303.45%013915.4501148000000022.22%900001.0100000000
27Barclay GoodrowVANCOUVER CanucksLW/RW6325440863414188.82%29215.4800002000051040.00%500001.0800000000
28Nikolay GoldobinVANCOUVER CanucksLW3224300121021020.00%04113.93000000000410100.00%200001.9100000001
29Blake HillmanUTICA Comets (VCR)D3000500202000.00%06020.050001300001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne14744518511302146762351630122042831210308210.53%5072454716.65559715245418258111982205655966.80%5922001221.06524100505857
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
1Patrik RybarUTICA Comets (VCR)2317330.9101.51139508353910000.88992321100
2Kevin LankinenUTICA Comets (VCR)30200.9401.77136004670010.0000276010
Stats d'équipe Total ou en Moyenne2617530.9151.53153208394580010.88992597110


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Ashton SautnerUTICA Comets (VCR)D251994-05-27Yes89 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Blake HillmanUTICA Comets (VCR)D231996-01-26Yes82 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Boo NievesUTICA Comets (VCR)C251994-01-23No95 Kg191 CMNoNoNo1Avec RestrictionPro & Farm735,000$0$0$NoLien
Brandon CrawleyUTICA Comets (VCR)D221997-02-02Yes93 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Brandon HickeyUTICA Comets (VCR)D231996-04-13Yes91 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Charles HudonUTICA Comets (VCR)LW251994-06-23No89 Kg178 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Daniel CarrUTICA Comets (VCR)LW271991-11-01No88 Kg183 CMNoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Dean KukanUTICA Comets (VCR)D261993-07-08No85 Kg188 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Ian McCoshenUTICA Comets (VCR)D241995-08-05No99 Kg191 CMNoNoNo1Avec RestrictionPro & Farm735,000$0$0$NoLien
Jean-Sebastien DeaUTICA Comets (VCR)C251994-02-08No80 Kg180 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Joakim NordstromUTICA Comets (VCR)LW271992-02-25No88 Kg185 CMNoNoNo2Avec RestrictionPro & Farm1,150,000$0$0$NoLien
John HaydenUTICA Comets (VCR)C/LW241995-02-14No98 Kg191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Jonny BrodzinskiUTICA Comets (VCR)C/RW261993-06-19No95 Kg185 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Julien GauthierUTICA Comets (VCR)RW211997-10-15No102 Kg193 CMNoNoNo6Avec RestrictionPro & Farm850,000$0$0$NoLien
Kevin LankinenUTICA Comets (VCR)G241995-04-28Yes84 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Luke JohnsonUTICA Comets (VCR)C241994-09-19No81 Kg180 CMNoNoNo4Avec RestrictionPro & Farm925,000$0$0$NoLien
Nick ShoreUTICA Comets (VCR)C261992-09-26No89 Kg185 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
Patrik RybarUTICA Comets (VCR)G251993-11-09Yes86 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Pierre EngvallUTICA Comets (VCR)LW231996-05-31Yes87 Kg193 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Sean WalkerUTICA Comets (VCR)D241994-11-13Yes89 Kg180 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Stephen JohnsUTICA Comets (VCR)D271992-04-18No100 Kg193 CMNoNoNo2Avec RestrictionPro & Farm2,000,000$0$0$NoLien
Steven SantiniUTICA Comets (VCR)D241995-03-07No93 Kg188 CMNoNoNo3Avec RestrictionPro & Farm1,250,000$0$0$NoLien
Warren FoegeleUTICA Comets (VCR)LW231996-04-01Yes90 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2324.4890 Kg185 CM2.87865,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joakim NordstromNick ShoreCharles Hudon35023
2Warren FoegeleBoo NievesJulien Gauthier30023
3Jonny BrodzinskiJean-Sebastien DeaDaniel Carr25122
4Luke JohnsonJohn HaydenPierre Engvall10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ashton SautnerIan McCoshen35032
2Stephen JohnsDean Kukan35032
3Sean WalkerSteven Santini23032
4Stephen JohnsSean Walker7041
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joakim NordstromNick ShoreCharles Hudon55005
2Warren FoegeleBoo NievesJulien Gauthier45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sean WalkerStephen Johns60014
2Steven SantiniDean Kukan40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick ShoreJoakim Nordstrom55131
2Jonny BrodzinskiWarren Foegele45041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sean WalkerStephen Johns55140
2Dean KukanSteven Santini45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jonny Brodzinski55050Dean KukanSean Walker55050
2Joakim Nordstrom45050Stephen JohnsSteven Santini45050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick ShoreJoakim Nordstrom55122
2Boo NievesWarren Foegele45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stephen JohnsSean Walker55122
2Steven SantiniDean Kukan45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joakim NordstromNick ShoreCharles HudonStephen JohnsSean Walker
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joakim NordstromNick ShoreCharles HudonStephen JohnsSean Walker
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jean-Sebastien Dea, Charles Hudon, Pierre EngvallCharles Hudon, Jean-Sebastien DeaCharles Hudon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dean Kukan, Stephen Johns, Steven SantiniDean KukanDean Kukan, Stephen Johns
Tirs de Pénalité
Nick Shore, Luke Johnson, Warren Foegele, Daniel Carr, Charles Hudon
Gardien
#1 : Patrik Rybar, #2 : Kevin Lankinen
Lignes d'Attaque Perso. en Prol.
Nick Shore, Joakim Nordstrom, Warren Foegele, Charles Hudon, Jonny Brodzinski, Jean-Sebastien Dea, Jean-Sebastien Dea, Pierre Engvall, Boo Nieves, Daniel Carr, Julien Gauthier
Lignes de Défense Perso. en Prol.
Ashton Sautner, Dean Kukan, Steven Santini, Sean Walker, Stephen Johns


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 Senators220000001138110000007161100000042241.000112132002269786715313081302131442281018574250.00%9277.78%01886274068.83%1115184360.50%822115071.48%256120351218406812460
2BRIDGEPORT Sound Tigers51400000211742020000038-531200000189920.20021416211226978671561308130213144214035541041317.69%25484.00%11886274068.83%1115184360.50%822115071.48%256120351218406812460
3BROOKLYN Wolfpack44000000531522200000028127220000002502581.00053101154032269786737713081302131442182226411100.00%80100.00%11886274068.83%1115184360.50%822115071.48%256120351218406812460
4CHICAGO Wolves440000002261622000000141132200000085381.000224365012269786722013081302131442661232777228.57%15193.33%01886274068.83%1115184360.50%822115071.48%256120351218406812460
5CLEVELAND Monsters44000000451442200000022121220000002302381.0004586131032269786731713081302131442219206413646.15%10190.00%01886274068.83%1115184360.50%822115071.48%256120351218406812460
6COLORADO Eagles41200100811-31010000001-131100100810-230.3758132100226978671291308130213144210719408618527.78%19289.47%01886274068.83%1115184360.50%822115071.48%256120351218406812460
7CORNWALL Aces22000000251241100000013013110000001211141.00025477201226978671741308130213144217483122100.00%40100.00%01886274068.83%1115184360.50%822115071.48%256120351218406812460
8HERSEY Bears5300010115114320000019542100010066080.800152338012269786714513081302131442115214810610330.00%22481.82%01886274068.83%1115184360.50%822115071.48%256120351218406812460
9HOLLYWOOD Oscar220000002102111000000808110000001301341.00021375802226978671721308130213144250427000.00%20100.00%11886274068.83%1115184360.50%822115071.48%256120351218406812460
10IOWA Wild22000000835110000004221100000041341.00081422002269786784130813021314423181637500.00%8187.50%01886274068.83%1115184360.50%822115071.48%256120351218406812460
11LAVAL Rockets3020001057-21010000002-22010001055020.333561100226978679113081302131442762130531218.33%15286.67%01886274068.83%1115184360.50%822115071.48%256120351218406812460
12LEHIGH VALLEY Phantoms220000001531211000000121111100000032141.000152944002269786779130813021314424214354712325.00%13376.92%01886274068.83%1115184360.50%822115071.48%256120351218406812460
13MANITOBA Moose2020000037-41010000014-31010000023-100.00036900226978677513081302131442488143212216.67%6183.33%01886274068.83%1115184360.50%822115071.48%256120351218406812460
14MILWAUKEE Admirals430010001358220000008352100100052381.00013233602226978671341308130213144212532467921419.05%21195.24%11886274068.83%1115184360.50%822115071.48%256120351218406812460
15MONT-LAURIER Sommet211000005501010000014-31100000041320.500510150022697867791308130213144240121837500.00%80100.00%01886274068.83%1115184360.50%822115071.48%256120351218406812460
16PROVIDENCE Bruins421000102071322000000174132010001033060.7502032520022697867202130813021314421002644909111.11%20290.00%01886274068.83%1115184360.50%822115071.48%256120351218406812460
17PV Sharapovas2010010035-21000010023-11010000012-110.250369002269786756130813021314425620203510110.00%10280.00%01886274068.83%1115184360.50%822115071.48%256120351218406812460
18ROCKFORD IceHogs420010101147210010005142100001063381.000111829012269786712513081302131442933746639333.33%22195.45%11886274068.83%1115184360.50%822115071.48%256120351218406812460
19SAN DIEGO Gulls440000001901922000000909220000001001081.000193554042269786733713081302131442105449100.00%20100.00%11886274068.83%1115184360.50%822115071.48%256120351218406812460
20STOCKTON Flames22000000936110000005141100000042241.0009172600226978675313081302131442551014366233.33%70100.00%01886274068.83%1115184360.50%822115071.48%256120351218406812460
21SYRACUSE Crunch2020000038-51010000023-11010000015-400.00035800226978677013081302131442501314241119.09%6266.67%01886274068.83%1115184360.50%822115071.48%256120351218406812460
22TORONTO Marlies22000000927110000005051100000042241.00091726012269786711513081302131442231210369555.56%50100.00%01886274068.83%1115184360.50%822115071.48%256120351218406812460
23TUSCON Roadrunners4400000038632220000001358220000002512481.000386810601226978672891308130213144251131887300.00%9188.89%11886274068.83%1115184360.50%822115071.48%256120351218406812460
Total764917023414151272883725901101205581473924801240210691411140.750415757117222122697867394213081302131442140337460714232044823.53%2813288.61%81886274068.83%1115184360.50%822115071.48%256120351218406812460
25VICTORIAVILLE Tigres3020001069-32020000026-41000001043120.333691510226978671001308130213144277282465800.00%11190.91%01886274068.83%1115184360.50%822115071.48%256120351218406812460
26WILKIES-BARRIE Penguins22000000272251100000015114110000001211141.0002750770022697867210130813021314429383733100.00%4175.00%11886274068.83%1115184360.50%822115071.48%256120351218406812460
_Since Last GM Reset764917023414151272883725901101205581473924801240210691411140.750415757117222122697867394213081302131442140337460714232044823.53%2813288.61%81886274068.83%1115184360.50%822115071.48%256120351218406812460
_Vs Conference4932902231270761942317401001128329626155012301424498770.786270489759117226978672522130813021314429222324049221172723.08%1881989.89%61886274068.83%1115184360.50%822115071.48%256120351218406812460
_Vs Division14171001119214787100000013610267710011056452381.35792167259072269786793013081302131442161405823615213.33%28196.43%31886274068.83%1115184360.50%822115071.48%256120351218406812460

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76114W44157571172394214033746071423221
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7649172341415127
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
37259110120558
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
39248124021069
Derniers 10 Matchs
WLOTWOTL SOWSOL
720100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2044823.53%2813288.61%8
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
1308130213144222697867
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
1886274068.83%1115184360.50%822115071.48%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
256120351218406812460


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 - 2019-07-305UTICA Comets13BRIDGEPORT Sound Tigers0WSommaire du Match
2 - 2019-07-3121TUSCON Roadrunners3UTICA Comets5WSommaire du Match
3 - 2019-08-0133HERSEY Bears4UTICA Comets3LXXSommaire du Match
4 - 2019-08-0248UTICA Comets2MILWAUKEE Admirals0WSommaire du Match
6 - 2019-08-0458BROOKLYN Wolfpack1UTICA Comets15WSommaire du Match
7 - 2019-08-0567UTICA Comets3COLORADO Eagles4LXSommaire du Match
9 - 2019-08-0790PROVIDENCE Bruins1UTICA Comets13WSommaire du Match
10 - 2019-08-08104UTICA Comets2COLORADO Eagles5LSommaire du Match
11 - 2019-08-09112UTICA Comets3LAVAL Rockets2WXXSommaire du Match
12 - 2019-08-10117UTICA Comets4CHICAGO Wolves3WSommaire du Match
13 - 2019-08-11130CHICAGO Wolves0UTICA Comets11WSommaire du Match
15 - 2019-08-13145MILWAUKEE Admirals0UTICA Comets4WSommaire du Match
17 - 2019-08-15159CLEVELAND Monsters0UTICA Comets14WSommaire du Match
18 - 2019-08-16174UTICA Comets0PROVIDENCE Bruins1LSommaire du Match
20 - 2019-08-18185UTICA Comets4SAN DIEGO Gulls0WSommaire du Match
21 - 2019-08-19202HERSEY Bears1UTICA Comets4WSommaire du Match
22 - 2019-08-20213UTICA Comets3MILWAUKEE Admirals2WXSommaire du Match
24 - 2019-08-22226CORNWALL Aces0UTICA Comets13WSommaire du Match
25 - 2019-08-23241UTICA Comets3HERSEY Bears2WSommaire du Match
26 - 2019-08-24254MILWAUKEE Admirals3UTICA Comets4WSommaire du Match
27 - 2019-08-25267UTICA Comets13TUSCON Roadrunners1WSommaire du Match
28 - 2019-08-26275MONT-LAURIER Sommet4UTICA Comets1LSommaire du Match
29 - 2019-08-27294LEHIGH VALLEY Phantoms1UTICA Comets12WSommaire du Match
30 - 2019-08-28303UTICA Comets3HERSEY Bears4LXSommaire du Match
31 - 2019-08-29321TUSCON Roadrunners2UTICA Comets8WSommaire du Match
32 - 2019-08-30331UTICA Comets3ROCKFORD IceHogs1WSommaire du Match
34 - 2019-09-01345WILKIES-BARRIE Penguins1UTICA Comets15WR3Sommaire du Match
35 - 2019-09-02359UTICA Comets12CORNWALL Aces1WSommaire du Match
36 - 2019-09-03370HERSEY Bears0UTICA Comets2WSommaire du Match
37 - 2019-09-04378UTICA Comets4IOWA Wild1WSommaire du Match
39 - 2019-09-06397UTICA Comets3ROCKFORD IceHogs2WXXSommaire du Match
40 - 2019-09-07412UTICA Comets4BELLEVILLE Senators2WSommaire du Match
41 - 2019-09-08413ROCKFORD IceHogs0UTICA Comets3WSommaire du Match
42 - 2019-09-09429UTICA Comets4VICTORIAVILLE Tigres3WXXSommaire du Match
44 - 2019-09-11441CLEVELAND Monsters1UTICA Comets8WSommaire du Match
46 - 2019-09-13461PROVIDENCE Bruins3UTICA Comets4WSommaire du Match
47 - 2019-09-14473STOCKTON Flames1UTICA Comets5WSommaire du Match
48 - 2019-09-15484UTICA Comets3PROVIDENCE Bruins2WXXSommaire du Match
49 - 2019-09-16500UTICA Comets2LAVAL Rockets3LSommaire du Match
50 - 2019-09-17508UTICA Comets1PV Sharapovas2LSommaire du Match
51 - 2019-09-18520VICTORIAVILLE Tigres4UTICA Comets2LSommaire du Match
53 - 2019-09-20534SAN DIEGO Gulls0UTICA Comets6WSommaire du Match
54 - 2019-09-21549ROCKFORD IceHogs1UTICA Comets2WXSommaire du Match
57 - 2019-09-24568UTICA Comets2MANITOBA Moose3LSommaire du Match
58 - 2019-09-25580UTICA Comets12TUSCON Roadrunners0WSommaire du Match
59 - 2019-09-26590BROOKLYN Wolfpack0UTICA Comets13WSommaire du Match
61 - 2019-09-28603UTICA Comets13HOLLYWOOD Oscar0WSommaire du Match
62 - 2019-09-29614SYRACUSE Crunch3UTICA Comets2LSommaire du Match
64 - 2019-10-01627UTICA Comets4CHICAGO Wolves2WSommaire du Match
66 - 2019-10-03639MANITOBA Moose4UTICA Comets1LSommaire du Match
67 - 2019-10-04650UTICA Comets4STOCKTON Flames2WSommaire du Match
68 - 2019-10-05665BRIDGEPORT Sound Tigers5UTICA Comets2LSommaire du Match
69 - 2019-10-06673UTICA Comets2BRIDGEPORT Sound Tigers4LSommaire du Match
70 - 2019-10-07683UTICA Comets3LEHIGH VALLEY Phantoms2WSommaire du Match
72 - 2019-10-09697UTICA Comets3BRIDGEPORT Sound Tigers5LSommaire du Match
73 - 2019-10-10702CHICAGO Wolves1UTICA Comets3WSommaire du Match
75 - 2019-10-12723SAN DIEGO Gulls0UTICA Comets3WSommaire du Match
76 - 2019-10-13734UTICA Comets1SYRACUSE Crunch5LSommaire du Match
77 - 2019-10-14750HOLLYWOOD Oscar0UTICA Comets8WSommaire du Match
78 - 2019-10-15761UTICA Comets6SAN DIEGO Gulls0WSommaire du Match
80 - 2019-10-17774BRIDGEPORT Sound Tigers3UTICA Comets1LSommaire du Match
81 - 2019-10-18788UTICA Comets3COLORADO Eagles1WSommaire du Match
82 - 2019-10-19799UTICA Comets4MONT-LAURIER Sommet1WSommaire du Match
83 - 2019-10-20804UTICA Comets12BROOKLYN Wolfpack0WSommaire du Match
84 - 2019-10-21813COLORADO Eagles1UTICA Comets0LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22830UTICA Comets12WILKIES-BARRIE Penguins1WR3Sommaire du Match
86 - 2019-10-23837TORONTO Marlies0UTICA Comets5WSommaire du Match
87 - 2019-10-24857VICTORIAVILLE Tigres2UTICA Comets0LSommaire du Match
90 - 2019-10-27873UTICA Comets12CLEVELAND Monsters0WSommaire du Match
91 - 2019-10-28886BELLEVILLE Senators1UTICA Comets7WSommaire du Match
93 - 2019-10-30906LAVAL Rockets2UTICA Comets0LSommaire du Match
95 - 2019-11-01924PV Sharapovas3UTICA Comets2LXSommaire du Match
96 - 2019-11-02937UTICA Comets13BROOKLYN Wolfpack0WSommaire du Match
97 - 2019-11-03939UTICA Comets4TORONTO Marlies2WSommaire du Match
98 - 2019-11-04949UTICA Comets11CLEVELAND Monsters0WSommaire du Match
100 - 2019-11-06962IOWA Wild2UTICA Comets4WSommaire du Match
103 - 2019-11-09984LAVAL Rockets-UTICA Comets-
106 - 2019-11-121007COLORADO Eagles-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
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,492,910$ 1,989,500$ 1,989,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,020,942$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 6 23,266$ 139,596$




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
3276491702341415127288372590110120558147392480124021069141114415757117222122697867394213081302131442140337460714232044823.53%2813288.61%81886274068.83%1115184360.50%822115071.48%256120351218406812460
Total Saison Régulière76491702341415127288372590110120558147392480124021069141114415757117222122697867394213081302131442140337460714232044823.53%2813288.61%81886274068.83%1115184360.50%822115071.48%256120351218406812460