SYRACUSE Crunch

GP: 28 | W: 12 | L: 14 | OTL: 2 | P: 26
GF: 124 | GA: 156 | PP%: 26.00% | PK%: 88.46%
DG: Lucas Giguere | Morale : 98 | Moyenne d'Équipe : 59
Prochain matchs #376 vs VICTORIAVILLE Tigres
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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
1Austin Czarnik0XX100.005735756863776767726965616655513794650
2Greg McKegg0X100.005835736873658568756263576555525794650
3Vladislav Kamenev0XX100.006435716579716164746362656351507494640
4Justin Bailey0X100.006235676889535567506262526353516994620
5Lee Stempniak0X100.005135716971515169506262536286612691620
6Matt Read0X100.005235666868555668526262536368552691610
7Byron Froese0X100.005489627078505070706363526354514991600
8Connor Brickley0XXX100.005853686475545764505958525953516191590
9Danick Martel0X100.006135755664675456635757585751504294580
10Jansen Harkins0X100.005089646774505067505959505950504494580
11Reid Boucher0X100.00503569706915070707070507055526097570
12Quinton Howden0XX100.005437806873454558405054635562546388570
13Roman Lyubimov (R)0XX100.005135806776454357334854645462526394570
14Jason Garrison0X100.005935756181735861305360726672572391640
15Juuso Valimaki (R)0X100.006135756683656266305653666451508491620
16Andrey Pedan0X100.006747585087586958304640605751516594570
17TJ Brennan0X100.005789587081505070305045505552516294570
18Seth Helgeson0X100.006489425891465058304641505152514890540
Rayé
1Frank Corrado0X100.005389695675505056304742505253514771530
2Ryan Lindgren (R)0X100.005335535875475258304541515150507368520
MOYENNE D'ÉQUIPE100.00575068647654566448565656605752549059
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
1Philippe Desrosiers100.00746281767373747373736850624394640
2Jean-Francois Berube100.00515669696555586061575564555594550
Rayé
MOYENNE D'ÉQUIPE100.0063597573696466676765625759499460
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason68686868767662CAN553325,000$


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
1Vladislav KamenevSYRACUSE Crunch (TB )C/LW151117282260252175216614.67%628318.9144813300113432066.67%3600011.9700000400
2Austin CzarnikSYRACUSE Crunch (TB )C/RW15816242040123976265510.53%332321.590774311015471171.09%37700011.4800000110
3Greg McKeggSYRACUSE Crunch (TB )C1561824146014236721568.96%327018.050446320003341066.32%28800001.7700000012
4Justin BaileySYRACUSE Crunch (TB )RW15149231400141277134218.18%323215.50112831000001055.56%900011.9800000121
5Jason GarrisonSYRACUSE Crunch (TB )D1541519144025164312229.30%2036524.362241129000239100.00%000001.0400000111
6Connor BrickleySYRACUSE Crunch (TB )C/LW/RW153141714208144418346.82%225617.130112310001240068.75%1600001.3200000001
7Lee StempniakSYRACUSE Crunch (TB )RW1571017184061167116010.45%321314.211014110001180038.89%1800001.6000000021
8Juuso ValimakiSYRACUSE Crunch (TB )D15710171540161039102417.95%1533922.6255102030011038110.00%000001.0000000000
9Matt ReadSYRACUSE Crunch (TB )RW15511161260171642213211.90%419513.0100005000090082.35%1700001.6400000002
10Byron FroeseSYRACUSE Crunch (TB )C15511161614014106224438.06%618612.4301100000011066.34%20500001.7200000110
11Jansen HarkinsSYRACUSE Crunch (TB )C155101598012143393115.15%114910.0000000000001064.29%16800002.0000000101
12Danick MartelSYRACUSE Crunch (TB )LW1574111620121045172315.56%218612.4300000000020050.00%1600001.1800000100
13TJ BrennanSYRACUSE Crunch (TB )D1519102110011110101210.00%828218.86000329000031100.00%000000.7100000100
14Quinton HowdenSYRACUSE Crunch (TB )C/LW1262880041031111719.35%116013.37000314000001042.86%700001.0000000020
15Roman LyubimovSYRACUSE Crunch (TB )C/LW1534782067328219.38%41449.6600001000160044.44%900000.9700000010
16Andrey PedanSYRACUSE Crunch (TB )D152461818029111631312.50%1229719.86000429000129000.00%000000.4000000000
17Reid BoucherSYRACUSE Crunch (TB )LW4000100002000.00%192.320000000012000.00%000000.0000000000
18Seth HelgesonSYRACUSE Crunch (TB )D50004100702030.00%69118.360000300007000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne24694164258244100023222576323555412.32%100399116.22132538783121231833811266.81%116600031.290000011119
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
1Philippe DesrosiersSYRACUSE Crunch (TB )1511310.9181.7990402273290000.0000150000
Stats d'équipe Total ou en Moyenne1511310.9181.7990402273290000.0000150000


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
Andrey PedanSYRACUSE Crunch (TB )D261993-07-03No97 Kg196 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Austin CzarnikSYRACUSE Crunch (TB )C/RW261992-12-12No77 Kg175 CMNoNoNo4Avec RestrictionPro & Farm1,250,000$0$0$NoLien
Byron FroeseSYRACUSE Crunch (TB )C281991-03-12No92 Kg185 CMNoNoNo3Sans RestrictionPro & Farm750,000$0$0$NoLien
Connor BrickleySYRACUSE Crunch (TB )C/LW/RW271992-02-25No92 Kg183 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Danick MartelSYRACUSE Crunch (TB )LW241994-12-12No80 Kg173 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Frank CorradoSYRACUSE Crunch (TB )D261993-03-26No93 Kg183 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Greg McKeggSYRACUSE Crunch (TB )C271992-06-17No88 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Jansen HarkinsSYRACUSE Crunch (TB )C221997-05-23No83 Kg185 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Jason GarrisonSYRACUSE Crunch (TB )D341984-11-13No99 Kg185 CMNoNoNo2Sans RestrictionPro & Farm750,000$0$0$NoLien
Jean-Francois BerubeSYRACUSE Crunch (TB )G281991-07-13No80 Kg185 CMNoNoNo3Sans RestrictionPro & Farm750,000$0$0$No
Justin BaileySYRACUSE Crunch (TB )RW241995-07-01No97 Kg193 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Juuso ValimakiSYRACUSE Crunch (TB )D201998-10-06Yes96 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Lee StempniakSYRACUSE Crunch (TB )RW361983-02-04No89 Kg180 CMNoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$NoLien
Matt ReadSYRACUSE Crunch (TB )RW331986-06-14No85 Kg178 CMNoNoNo5Sans RestrictionPro & Farm750,000$0$0$NoLien
Philippe DesrosiersSYRACUSE Crunch (TB )G241995-08-16No89 Kg185 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Quinton HowdenSYRACUSE Crunch (TB )C/LW271992-01-21No86 Kg188 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$No
Reid BoucherSYRACUSE Crunch (TB )LW251993-09-08No89 Kg178 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Roman LyubimovSYRACUSE Crunch (TB )C/LW271992-01-06Yes94 Kg188 CMNoNoNo2Avec RestrictionPro & Farm950,000$0$0$No
Ryan LindgrenSYRACUSE Crunch (TB )D211998-02-11Yes91 Kg183 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Seth HelgesonSYRACUSE Crunch (TB )D281990-10-08No100 Kg193 CMNoNoNo4Sans RestrictionPro & Farm750,000$0$0$NoLien
TJ BrennanSYRACUSE Crunch (TB )D301989-04-03No98 Kg185 CMNoNoNo5Sans RestrictionPro & Farm750,000$0$0$NoLien
Vladislav KamenevSYRACUSE Crunch (TB )C/LW231996-08-12No88 Kg188 CMNoNoNo2Avec RestrictionPro & Farm830,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.6490 Kg185 CM2.86865,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vladislav KamenevAustin CzarnikLee Stempniak31122
2Connor BrickleyGreg McKeggJustin Bailey26122
3Danick MartelByron FroeseMatt Read23122
4Quinton HowdenJansen HarkinsAustin Czarnik20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason GarrisonJuuso Valimaki31122
2TJ BrennanAndrey Pedan26122
3Seth HelgesonJason Garrison23122
4Juuso ValimakiTJ Brennan20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vladislav KamenevAustin CzarnikLee Stempniak55122
2Connor BrickleyGreg McKeggJustin Bailey45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason GarrisonJuuso Valimaki55122
2TJ BrennanAndrey Pedan45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Austin CzarnikGreg McKegg55122
2Vladislav KamenevLee Stempniak45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason GarrisonJuuso Valimaki55122
2TJ BrennanAndrey Pedan45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Austin Czarnik55122Jason GarrisonJuuso Valimaki55122
2Greg McKegg45122TJ BrennanAndrey Pedan45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Austin CzarnikGreg McKegg55122
2Vladislav KamenevLee Stempniak45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason GarrisonJuuso Valimaki55122
2TJ BrennanAndrey Pedan45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Vladislav KamenevAustin CzarnikLee StempniakJason GarrisonJuuso Valimaki
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Vladislav KamenevAustin CzarnikLee StempniakJason GarrisonJuuso Valimaki
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roman Lyubimov, Reid Boucher, Matt ReadRoman Lyubimov, Reid BoucherMatt Read
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Seth Helgeson, Andrey Pedan, Jason GarrisonSeth HelgesonAndrey Pedan, Jason Garrison
Tirs de Pénalité
Austin Czarnik, Greg McKegg, Vladislav Kamenev, Lee Stempniak, Justin Bailey
Gardien
#1 : Philippe Desrosiers, #2 : Jean-Francois Berube
Lignes d'Attaque Perso. en Prol.
Austin Czarnik, Greg McKegg, Vladislav Kamenev, Lee Stempniak, Justin Bailey, Matt Read, Matt Read, Byron Froese, Connor Brickley, Jansen Harkins, Danick Martel
Lignes de Défense Perso. en Prol.
Jason Garrison, Juuso Valimaki, TJ Brennan, Andrey Pedan, Seth Helgeson


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
1BRIDGEPORT Sound Tigers10100000112-1110100000112-110000000000000.000123005439301329332735110932120100.00%000.00%042265664.33%29174439.11%23451745.26%574433829168285127
2BROOKLYN Wolfpack1000000156-1000000000001000000156-110.5005101500543930142293327351107118223000.00%10100.00%042265664.33%29174439.11%23451745.26%574433829168285127
3CHICAGO Wolves110000001301300000000000110000001301321.0001326390154393011002933273511062612000.00%30100.00%042265664.33%29174439.11%23451745.26%574433829168285127
4CLEVELAND Monsters110000001211100000000000110000001211121.00012193100543930188293327351101064113266.67%20100.00%042265664.33%29174439.11%23451745.26%574433829168285127
5HERSEY Bears11000000707110000007070000000000021.000712190154393014829332735110225216100.00%10100.00%042265664.33%29174439.11%23451745.26%574433829168285127
6HOLLYWOOD Oscar21100000913-41010000049-51100000054120.5009182700543930167293327351109631058100.00%000.00%042265664.33%29174439.11%23451745.26%574433829168285127
7IOWA Wild10100000411-710100000411-70000000000000.0004812005439301292933273511013339016000.00%000.00%042265664.33%29174439.11%23451745.26%574433829168285127
8LAVAL Rockets11000000321110000003210000000000021.000358005439301222933273511022810196116.67%5180.00%042265664.33%29174439.11%23451745.26%574433829168285127
9LEHIGH VALLEY Phantoms21100000912-321100000912-30000000000020.500915240054393013829332735110121462114125.00%10100.00%042265664.33%29174439.11%23451745.26%574433829168285127
10MANITOBA Moose10100000012-120000000000010100000012-1200.0000000054393010293327351101122705000.00%000.00%042265664.33%29174439.11%23451745.26%574433829168285127
11MONT-LAURIER Sommet22000000144101100000010191100000043141.0001427410054393019029332735110461012288337.50%6183.33%142265664.33%29174439.11%23451745.26%574433829168285127
12PV Sharapovas30300000420-1610100000013-132020000047-300.00048120054393014629332735110158371836700.00%8275.00%042265664.33%29174439.11%23451745.26%574433829168285127
13ROCKFORD IceHogs1010000024-21010000024-20000000000000.0002460054393013429332735110411316134250.00%8275.00%042265664.33%29174439.11%23451745.26%574433829168285127
14SAN DIEGO Gulls2200000014212110000007161100000071641.0001422360054393011752933273511021131246000.00%50100.00%042265664.33%29174439.11%23451745.26%574433829168285127
15STOCKTON Flames10100000011-1110100000011-110000000000000.000000005439301629332735110911504000.00%000.00%042265664.33%29174439.11%23451745.26%574433829168285127
16TORONTO Marlies1000010012-1000000000001000010012-110.50012300543930131293327351102771019200.00%50100.00%042265664.33%29174439.11%23451745.26%574433829168285127
17TUSCON Roadrunners110000001111000000000000110000001111021.000111930005439301692933273511012214209444.44%60100.00%042265664.33%29174439.11%23451745.26%574433829168285127
Total28111401101124156-321458010005685-291466001016871-3260.464124224348025439301978293327351101473411112396501326.00%52688.46%142265664.33%29174439.11%23451745.26%574433829168285127
19VICTORIAVILLE Tigres30201000628-221000100043120200000225-2320.3336915005439301392933273511025161219400.00%10100.00%042265664.33%29174439.11%23451745.26%574433829168285127
20WILKIES-BARRIE Penguins20200000915-61010000056-11010000049-500.00091827005439301512933273511014050040000.00%000.00%042265664.33%29174439.11%23451745.26%574433829168285127
_Since Last GM Reset28111401101124156-321458010005685-291466001016871-3260.464124224348025439301978293327351101473411112396501326.00%52688.46%142265664.33%29174439.11%23451745.26%574433829168285127
_Vs Conference184120110056128-72926010003666-30926001002062-42110.306561051610054393013972933273511011753234423626415.38%21385.71%142265664.33%29174439.11%23451745.26%574433829168285127
_Vs Division805001004346-3502000002230-8303001002116510.063437611901543930127029332735110457146121019333.33%50100.00%042265664.33%29174439.11%23451745.26%574433829168285127

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2826W1124224348978147341111239602
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2811141101124156
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
145810005685
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
146601016871
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
501326.00%52688.46%1
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
293327351105439301
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
42265664.33%29174439.11%23451745.26%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
574433829168285127


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 - 2019-07-302LEHIGH VALLEY Phantoms11SYRACUSE Crunch0LSommaire du Match
2 - 2019-07-3124HOLLYWOOD Oscar9SYRACUSE Crunch4LSommaire du Match
3 - 2019-08-0139SYRACUSE Crunch0MANITOBA Moose12LSommaire du Match
4 - 2019-08-0246SYRACUSE Crunch2VICTORIAVILLE Tigres11LSommaire du Match
6 - 2019-08-0465IOWA Wild11SYRACUSE Crunch4LSommaire du Match
7 - 2019-08-0569SYRACUSE Crunch4WILKIES-BARRIE Penguins9LSommaire du Match
9 - 2019-08-0788SYRACUSE Crunch0VICTORIAVILLE Tigres14LSommaire du Match
10 - 2019-08-0892SYRACUSE Crunch5BROOKLYN Wolfpack6LXXSommaire du Match
11 - 2019-08-09106PV Sharapovas13SYRACUSE Crunch0LSommaire du Match
12 - 2019-08-10124STOCKTON Flames11SYRACUSE Crunch0LSommaire du Match
14 - 2019-08-12133SYRACUSE Crunch5HOLLYWOOD Oscar4WSommaire du Match
15 - 2019-08-13147BRIDGEPORT Sound Tigers12SYRACUSE Crunch1LSommaire du Match
17 - 2019-08-15161WILKIES-BARRIE Penguins6SYRACUSE Crunch5LSommaire du Match
19 - 2019-08-17184SYRACUSE Crunch4MONT-LAURIER Sommet3WSommaire du Match
20 - 2019-08-18190LEHIGH VALLEY Phantoms1SYRACUSE Crunch9WSommaire du Match
22 - 2019-08-20206SYRACUSE Crunch11TUSCON Roadrunners1WSommaire du Match
23 - 2019-08-21219SAN DIEGO Gulls1SYRACUSE Crunch7WSommaire du Match
24 - 2019-08-22233SYRACUSE Crunch13CHICAGO Wolves0WSommaire du Match
25 - 2019-08-23244SYRACUSE Crunch12CLEVELAND Monsters1WSommaire du Match
26 - 2019-08-24256HERSEY Bears0SYRACUSE Crunch7WSommaire du Match
28 - 2019-08-26272SYRACUSE Crunch2PV Sharapovas4LSommaire du Match
29 - 2019-08-27284VICTORIAVILLE Tigres3SYRACUSE Crunch4WXSommaire du Match
30 - 2019-08-28299ROCKFORD IceHogs4SYRACUSE Crunch2LSommaire du Match
31 - 2019-08-29310SYRACUSE Crunch2PV Sharapovas3LSommaire du Match
32 - 2019-08-30326MONT-LAURIER Sommet1SYRACUSE Crunch10WSommaire du Match
33 - 2019-08-31339SYRACUSE Crunch7SAN DIEGO Gulls1WSommaire du Match
34 - 2019-09-01350SYRACUSE Crunch1TORONTO Marlies2LXSommaire du Match
35 - 2019-09-02361LAVAL Rockets2SYRACUSE Crunch3WSommaire du Match
37 - 2019-09-04376SYRACUSE Crunch-VICTORIAVILLE Tigres-
38 - 2019-09-05387HOLLYWOOD Oscar-SYRACUSE Crunch-
39 - 2019-09-06402CHICAGO Wolves-SYRACUSE Crunch-
41 - 2019-09-08418VICTORIAVILLE Tigres-SYRACUSE Crunch-
43 - 2019-09-10430SYRACUSE Crunch-BRIDGEPORT Sound Tigers-
44 - 2019-09-11443SYRACUSE Crunch-TORONTO Marlies-
46 - 2019-09-13456LEHIGH VALLEY Phantoms-SYRACUSE Crunch-
47 - 2019-09-14468SYRACUSE Crunch-ROCKFORD IceHogs-
48 - 2019-09-15480PV Sharapovas-SYRACUSE Crunch-
49 - 2019-09-16495SYRACUSE Crunch-MANITOBA Moose-
50 - 2019-09-17509WILKIES-BARRIE Penguins-SYRACUSE Crunch-
51 - 2019-09-18521SYRACUSE Crunch-WILKIES-BARRIE Penguins-
52 - 2019-09-19531SYRACUSE Crunch-BROOKLYN Wolfpack-
53 - 2019-09-20542BROOKLYN Wolfpack-SYRACUSE Crunch-
55 - 2019-09-22558TORONTO Marlies-SYRACUSE Crunch-
57 - 2019-09-24577PROVIDENCE Bruins-SYRACUSE Crunch-
59 - 2019-09-26585SYRACUSE Crunch-MILWAUKEE Admirals-
60 - 2019-09-27602MILWAUKEE Admirals-SYRACUSE Crunch-
62 - 2019-09-29614SYRACUSE Crunch-UTICA Comets-
64 - 2019-10-01626MANITOBA Moose-SYRACUSE Crunch-
66 - 2019-10-03642SYRACUSE Crunch-MONT-LAURIER Sommet-
67 - 2019-10-04655COLORADO Eagles-SYRACUSE Crunch-
68 - 2019-10-05667SYRACUSE Crunch-LAVAL Rockets-
70 - 2019-10-07678STOCKTON Flames-SYRACUSE Crunch-
73 - 2019-10-10703TORONTO Marlies-SYRACUSE Crunch-
74 - 2019-10-11719SYRACUSE Crunch-PROVIDENCE Bruins-
75 - 2019-10-12726SYRACUSE Crunch-STOCKTON Flames-
76 - 2019-10-13734UTICA Comets-SYRACUSE Crunch-
77 - 2019-10-14754SYRACUSE Crunch-CORNWALL Aces-
78 - 2019-10-15760TUSCON Roadrunners-SYRACUSE Crunch-
80 - 2019-10-17780BELLEVILLE Senators-SYRACUSE Crunch-
81 - 2019-10-18790SYRACUSE Crunch-HOLLYWOOD Oscar-
83 - 2019-10-20807SYRACUSE Crunch-HERSEY Bears-
84 - 2019-10-21814BELLEVILLE Senators-SYRACUSE Crunch-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22828SYRACUSE Crunch-COLORADO Eagles-
86 - 2019-10-23839IOWA Wild-SYRACUSE Crunch-
88 - 2019-10-25859MONT-LAURIER Sommet-SYRACUSE Crunch-
89 - 2019-10-26868SYRACUSE Crunch-LEHIGH VALLEY Phantoms-
90 - 2019-10-27880SYRACUSE Crunch-STOCKTON Flames-
91 - 2019-10-28887BRIDGEPORT Sound Tigers-SYRACUSE Crunch-
92 - 2019-10-29899SYRACUSE Crunch-IOWA Wild-
94 - 2019-10-31918CLEVELAND Monsters-SYRACUSE Crunch-
96 - 2019-11-02934SYRACUSE Crunch-LEHIGH VALLEY Phantoms-
97 - 2019-11-03941SYRACUSE Crunch-BELLEVILLE Senators-
98 - 2019-11-04948SYRACUSE Crunch-IOWA Wild-
99 - 2019-11-05957CORNWALL Aces-SYRACUSE Crunch-
100 - 2019-11-06965SYRACUSE Crunch-BELLEVILLE Senators-
102 - 2019-11-08979CORNWALL Aces-SYRACUSE Crunch-
104 - 2019-11-10996MANITOBA Moose-SYRACUSE Crunch-
105 - 2019-11-111001SYRACUSE Crunch-CORNWALL Aces-



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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
730,220$ 1,903,000$ 1,903,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 623,923$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 20,822$ 1,499,184$




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
3228111401101124156-321458010005685-291466001016871-326124224348025439301978293327351101473411112396501326.00%52688.46%142265664.33%29174439.11%23451745.26%574433829168285127
Total Saison Régulière28111401101124156-321458010005685-291466001016871-326124224348025439301978293327351101473411112396501326.00%52688.46%142265664.33%29174439.11%23451745.26%574433829168285127