Connexion

Syracuse Crunch
GP: 25 | W: 9 | L: 10 | OTL: 6 | P: 24
GF: 79 | GA: 85 | PP%: 8.77% | PK%: 81.82%
DG: Remi Baril | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #403 vs Bridgeport Islanders
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Centre de jeu
Syracuse Crunch
9-10-6, 24pts
3
FINAL
4 Rockford IceHogs
6-17-2, 14pts
Team Stats
SOL2SéquenceSOW1
6-4-2Fiche domicile5-6-1
3-6-4Fiche domicile1-11-1
2-6-2Derniers 10 matchs4-6-0
3.16Buts par match 1.84
3.40Buts contre par match 3.72
8.77%Pourcentage en avantage numérique4.00%
81.82%Pourcentage en désavantage numérique76.67%
Syracuse Crunch
9-10-6, 24pts
1
FINAL
2 Grand Rapids Griffins
14-10-0, 28pts
Team Stats
SOL2SéquenceSOW1
6-4-2Fiche domicile8-5-0
3-6-4Fiche domicile6-5-0
2-6-2Derniers 10 matchs6-4-0
3.16Buts par match 3.33
3.40Buts contre par match 3.25
8.77%Pourcentage en avantage numérique17.24%
81.82%Pourcentage en désavantage numérique90.63%
Syracuse Crunch
9-10-6, 24pts
Jour 60
Bridgeport Islanders
7-15-3, 17pts
Statistiques d’équipe
SOL2SéquenceL5
6-4-2Fiche domicile5-5-2
3-6-4Fiche visiteur2-10-1
2-6-210 derniers matchs2-6-2
3.16Buts par match 2.48
3.40Buts contre par match 2.48
8.77%Pourcentage en avantage numérique17.50%
81.82%Pourcentage en désavantage numérique74.19%
Belleville Senators
8-16-0, 16pts
Jour 61
Syracuse Crunch
9-10-6, 24pts
Statistiques d’équipe
L4SéquenceSOL2
3-9-0Fiche domicile6-4-2
5-7-0Fiche visiteur3-6-4
4-6-010 derniers matchs2-6-2
2.25Buts par match 3.16
4.00Buts contre par match 3.16
12.50%Pourcentage en avantage numérique8.77%
77.78%Pourcentage en désavantage numérique81.82%
Hershey Bears
5-20-1, 11pts
Jour 64
Syracuse Crunch
9-10-6, 24pts
Statistiques d’équipe
L9SéquenceSOL2
3-8-1Fiche domicile6-4-2
2-12-0Fiche visiteur3-6-4
0-9-110 derniers matchs2-6-2
1.81Buts par match 3.16
4.04Buts contre par match 3.16
11.43%Pourcentage en avantage numérique8.77%
81.40%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
Tyler Angle
26
Passes
Eemil Viro
18
Points
Tyler Angle
32
Plus/Moins
Tyler Angle
17

Statistiques d’équipe
Buts pour
79
3.16 GFG
Tirs pour
889
35.56 Avg
Pourcentage en avantage numérique
8.8%
5 GF
Début de zone offensive
41.3%
Buts contre
85
3.40 GAA
Tirs contre
724
28.96 Avg
Pourcentage en désavantage numérique
81.8%%
8 GA
Début de la zone défensive
33.5%
Informations de l'équipe

Directeur généralRemi Baril
DivisionSOUTHEAST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,852
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 250
Espoirs55


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 SPÂgeContratSalaire
1Adam ErneXX100.008171866580798463646261736371726250002921,800,000$
2Justin KirklandX100.00703984638078755971615860626870565000281700,000$
3Logan BrownX100.00403540643580904020404040306668115000262750,000$
4Tyler AngleX100.00663686666475806263586559626566485000244867,500$
5Ben McCartney (R)X100.00624363587178765761595655586365495000232830,000$
6Lauri Pajuniemi (R)X100.00403540623580904020404040306466115000251600,000$
7Elmer Soderblom (R)X100.00844192609981796258596463616365495000231842,500$
8Waltteri Merela (R)X100.00743992588578735766585962576668425000264870,000$
9Alex GoligoskiX100.0068338765678775623071546549908026550N03941,999,999$
10Dysin MayoX100.00713972637677835930575566486870485000281700,000$
11Peter DiLiberatoreX100.00553784566472705430575355466466485000241925,000$
12Michael Callahan (R)X100.00713985578064835630555358466567545000254925,000$
13Eemil Viro (R)X100.00603692586763745730555256456264675000221842,500$
14Kim Nousiainen (R)X100.00633689566361765530545152456466585000231842,500$
15Uvis BalinskisX100.00663980647482716330655961506870365000284870,000$
Rayé
1Kodie CurranX100.004035404035809040204040403025251150003411,000,000$
2Michael Krutil (R)X100.00403540403580904020404040302525115000221600,000$
MOYENNE D’ÉQUIPE100.0062397459657680544055535648626340500
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 SPÂgeContratSalaire
1Dustin Tokarski100.0067997675686162626253747689455000352750,000$
2Yaroslav Askarov (R)100.0066998480676665656655776272855000221925,000$
Rayé
1Braden Holtby100.00409080504040404040404084871150003511,999,999$
2Arvid Holm100.0053957589545354545445706675475000254775,000$
MOYENNE D’ÉQUIPE100.005796797457555555564865728147500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Tyler AngleSyracuse Crunch (TAM)C252663217405748125377920.80%727611.0400000000003177.66%27300032.3212000826
2Elmer SoderblomSyracuse Crunch (TAM)LW25184225421082421644511310.98%1137715.1210112000005280.00%1500021.1602110433
3Peter DiLiberatoreSyracuse Crunch (TAM)D255162110120502835132114.29%2139315.750113200000000%000001.0700000141
4Eemil ViroSyracuse Crunch (TAM)D2531821101202711132923.08%1027010.830000000000010%000001.5500000032
5Kim NousiainenSyracuse Crunch (TAM)D25216181060289165512.50%1527010.830000000000010%000001.3300000123
6Ben McCartneySyracuse Crunch (TAM)LW256511940381342144414.29%121224.92000000000000100.00%300001.7900000132
Statistiques d’équipe totales ou en moyenne150606512561801028215139511627115.19%76171211.4111244000008578.01%29100051.4614110151717
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


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam ErneSyracuse Crunch (TAM)LW/RW291995-04-20USANo215 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,800,000$1,261,856$0$0$No1,800,000$--------1,800,000$--------No--------Lien
Alex GoligoskiTampa Bay LightningD391985-07-30USANo173 Lbs5 ft11YesNoAssign ManuallyNoNo42024-08-21FalseFalsePro & Farm1,999,999$1,411,167$1,999,999$1,411,167$No1,999,999$1,999,999$1,999,999$------600,000$600,000$600,000$------NoNoNo------Lien
Arvid HolmSyracuse Crunch (TAM)G251998-11-03SWENo213 Lbs6 ft4NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Ben McCartneySyracuse Crunch (TAM)LW232001-07-13CANYes182 Lbs6 ft0NoNoN/ANoNo22024-05-19FalseFalsePro & Farm830,000$581,856$0$0$No830,000$--------830,000$--------No--------Lien
Braden HoltbySyracuse Crunch (TAM)G351989-09-16CANNo215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,999,999$1,402,061$0$0$No---------------------------Lien
Dustin TokarskiSyracuse Crunch (TAM)G351989-09-16CANNo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$525,773$0$0$No750,000$--------750,000$--------No--------Lien
Dysin MayoSyracuse Crunch (TAM)D281996-08-17CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Eemil ViroSyracuse Crunch (TAM)D222002-04-03FINYes165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Lien
Elmer SoderblomSyracuse Crunch (TAM)LW232001-07-05SWEYes246 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Lien
Justin KirklandSyracuse Crunch (TAM)LW281996-08-02CANNo183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Kim NousiainenSyracuse Crunch (TAM)D232000-11-14FINYes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Lien
Kodie CurranSyracuse Crunch (TAM)D341989-12-18CANNo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$701,031$0$0$No---------------------------Lien
Lauri PajuniemiSyracuse Crunch (TAM)RW251999-09-12FINYes196 Lbs6 ft0NoNoAssign ManuallyNoNo12024-08-18FalseFalsePro & Farm600,000$420,619$0$0$No---------------------------Lien
Logan BrownSyracuse Crunch (TAM)C261998-03-05USANo218 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm750,000$525,773$0$0$No750,000$--------750,000$--------No--------Lien
Michael CallahanSyracuse Crunch (TAM)D251999-09-23USAYes197 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-18FalseFalsePro & Farm925,000$648,454$0$0$No925,000$925,000$925,000$------600,000$600,000$600,000$------NoNoNo------Lien
Michael KrutilSyracuse Crunch (TAM)D222002-06-03CZEYes202 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-18FalseFalsePro & Farm600,000$420,619$0$0$No---------------------------Lien
Peter DiLiberatoreSyracuse Crunch (TAM)D242000-03-31CANNo160 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Tyler AngleSyracuse Crunch (TAM)C242000-09-30CANNo166 Lbs5 ft10NoNoN/ANoNo42024-05-19FalseFalsePro & Farm867,500$608,144$0$0$No867,500$867,500$867,500$------867,500$867,500$867,500$------NoNoNo------Lien
Uvis BalinskisSyracuse Crunch (TAM)D281996-08-01LVANo196 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-18FalseFalsePro & Farm870,000$609,897$0$0$No870,000$870,000$870,000$------600,000$600,000$600,000$------NoNoNo------Lien
Waltteri MerelaSyracuse Crunch (TAM)C261998-07-06FINYes210 Lbs6 ft3NoNoAssign ManuallyNoNo42024-08-18FalseFalsePro & Farm870,000$609,897$0$0$No870,000$870,000$870,000$------600,000$600,000$600,000$------NoNoNo------Lien
Yaroslav AskarovSyracuse Crunch (TAM)G222002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.95194 Lbs6 ft12.05972,143$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
2Elmer Soderblom30122
3Tyler Angle22122
4Ben McCartney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
2Peter DiLiberatore30122
3Kim NousiainenEemil Viro22122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Elmer Soderblom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Peter DiLiberatore40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Peter DiLiberatore40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Peter DiLiberatore40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Peter DiLiberatore40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Tyler Angle, , Tyler Angle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kim Nousiainen, Eemil Viro, Kim NousiainenEemil Viro,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
TotalDomicileVisiteur
# 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
1Abbotsford Canucks1010000014-31010000014-30000000000000.0001230030222718287272313232272157114.29%10100.00%036566255.14%24053644.78%18940346.90%714561545140264137
2Bakersfield Condors1010000046-21010000046-20000000000000.00048120030222714828727231323287014100.00%000%036566255.14%24053644.78%18940346.90%714561545140264137
3Charlotte Checkers51300100913-41010000012-141200100811-330.30091524103022271205287272313231384023126900.00%8275.00%036566255.14%24053644.78%18940346.90%714561545140264137
4Chicago Wolves2020000069-3000000000002020000069-300.0006915003022271352872723132364139406116.67%20100.00%036566255.14%24053644.78%18940346.90%714561545140264137
5Grand Rapids Griffins1000000112-1000000000001000000112-110.5001230030222712328727231323318426200.00%20100.00%036566255.14%24053644.78%18940346.90%714561545140264137
6Hartford Wolf Pack3300000016793300000016790000000000061.0001625410030222711432872723132360192965300.00%70100.00%036566255.14%24053644.78%18940346.90%714561545140264137
7Hershey Bears310002001112-11000010056-12100010066040.6671121320030222711402872723132386214559111.11%20100.00%036566255.14%24053644.78%18940346.90%714561545140264137
8LeHigh Valley Phantoms21000100963210001009630000000000030.750915240030222718828727231323541710546233.33%50100.00%036566255.14%24053644.78%18940346.90%714561545140264137
9Manitoba Moose11000000624000000000001100000062421.0006101600302227149287272313233914431100.00%2150.00%036566255.14%24053644.78%18940346.90%714561545140264137
10Providence Bruins11000000523110000005230000000000021.0005101500302227142287272313232913618100.00%30100.00%036566255.14%24053644.78%18940346.90%714561545140264137
11Rochester Americans1010000005-5000000000001010000005-500.00000000302227152872723132340131013200.00%5260.00%036566255.14%24053644.78%18940346.90%714561545140264137
12Rockford IceHogs1000000134-1000000000001000000134-110.50036900302227143287272313233916427200.00%2150.00%036566255.14%24053644.78%18940346.90%714561545140264137
13San Diego Gulls11000000514110000005140000000000021.00058130030222713528727231323153026100.00%000%036566255.14%24053644.78%18940346.90%714561545140264137
14Utica Comets1010000015-4000000000001010000015-400.0001120030222711028727231323387016400.00%000%036566255.14%24053644.78%18940346.90%714561545140264137
15Wilkes-Barre/Scranton Penguins1010000027-51010000027-50000000000000.000246003022271152872723132341101012300.00%5260.00%036566255.14%24053644.78%18940346.90%714561545140264137
Total25910004027985-6126400200484171336002023144-13240.48079136215103022271889287272313237242081155385758.77%44881.82%036566255.14%24053644.78%18940346.90%714561545140264137
_Since Last GM Reset25910004027985-6126400200484171336002023144-13240.48079136215103022271889287272313237242081155385758.77%44881.82%036566255.14%24053644.78%18940346.90%714561545140264137
_Vs Conference2088004006568-395200200383081136002002738-11200.50065110175103022271732287272313235891671054304449.09%39782.05%036566255.14%24053644.78%18940346.90%714561545140264137

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2524SOL27913621588972420811553810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2591004027985
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
126402004841
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
133602023144
Derniers 10 matchs
WLOTWOTL SOWSOL
260002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5758.77%44881.82%0
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
287272313233022271
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
36566255.14%24053644.78%18940346.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
714561545140264137


Derniers matchs 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
511Syracuse Crunch3Hershey Bears4LXSommaire du match
628Providence Bruins2Syracuse Crunch5WSommaire du match
1048Hartford Wolf Pack4Syracuse Crunch7WSommaire du match
1369Hartford Wolf Pack2Syracuse Crunch4WSommaire du match
1593Syracuse Crunch1Charlotte Checkers3LSommaire du match
1799Syracuse Crunch0Rochester Americans5LSommaire du match
18112Hartford Wolf Pack1Syracuse Crunch5WSommaire du match
21134Charlotte Checkers2Syracuse Crunch1LSommaire du match
24151Syracuse Crunch2Charlotte Checkers3LXSommaire du match
25157Syracuse Crunch3Hershey Bears2WSommaire du match
27176Hershey Bears6Syracuse Crunch5LXSommaire du match
30197LeHigh Valley Phantoms3Syracuse Crunch2LXSommaire du match
31213Syracuse Crunch6Manitoba Moose2WSommaire du match
33224Syracuse Crunch1Charlotte Checkers3LSommaire du match
36239San Diego Gulls1Syracuse Crunch5WSommaire du match
38254Syracuse Crunch4Charlotte Checkers2WSommaire du match
40268Abbotsford Canucks4Syracuse Crunch1LSommaire du match
42291Wilkes-Barre/Scranton Penguins7Syracuse Crunch2LSommaire du match
44305Syracuse Crunch2Chicago Wolves3LSommaire du match
46324Bakersfield Condors6Syracuse Crunch4LSommaire du match
47333Syracuse Crunch1Utica Comets5LSommaire du match
50347Syracuse Crunch4Chicago Wolves6LSommaire du match
53366LeHigh Valley Phantoms3Syracuse Crunch7WSommaire du match
55381Syracuse Crunch3Rockford IceHogs4LXXSommaire du match
58391Syracuse Crunch1Grand Rapids Griffins2LXXSommaire du match
60403Syracuse Crunch-Bridgeport Islanders-
61412Belleville Senators-Syracuse Crunch-
64436Hershey Bears-Syracuse Crunch-
67451Syracuse Crunch-Ontario Reign-
69470Iowa Wild-Syracuse Crunch-
73495Hartford Wolf Pack-Syracuse Crunch-
75503Syracuse Crunch-Hartford Wolf Pack-
77519Syracuse Crunch-Wilkes-Barre/Scranton Penguins-
79532Abbotsford Canucks-Syracuse Crunch-
86555Syracuse Crunch-Utica Comets-
88566Laval Rocket-Syracuse Crunch-
89580Syracuse Crunch-Laval Rocket-
91597Bridgeport Islanders-Syracuse Crunch-
94613Syracuse Crunch-Wilkes-Barre/Scranton Penguins-
95625Colorado Eagles-Syracuse Crunch-
99652Charlotte Checkers-Syracuse Crunch-
100668Syracuse Crunch-Manitoba Moose-
103685Syracuse Crunch-Rochester Americans-
104694Providence Bruins-Syracuse Crunch-
107716Colorado Eagles-Syracuse Crunch-
109733Syracuse Crunch-LeHigh Valley Phantoms-
110745Syracuse Crunch-Cleveland Monsters-
112755Syracuse Crunch-Tucson Roadrunners-
114768Coachella Valley Firebirds-Syracuse Crunch-
116789Utica Comets-Syracuse Crunch-
120812Manitoba Moose-Syracuse Crunch-
122823Syracuse Crunch-Toronto Marlies-
126843San Jose Barracuda-Syracuse Crunch-
127856Syracuse Crunch-San Jose Barracuda-
142877Chicago Wolves-Syracuse Crunch-
146906Syracuse Crunch-Providence Bruins-
147912Chicago Wolves-Syracuse Crunch-
150936Milwaukee Admirals-Syracuse Crunch-
154961Syracuse Crunch-Henderson Silver Knights-
155969Rochester Americans-Syracuse Crunch-
157983Syracuse Crunch-Calgary Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159993Syracuse Crunch-Henderson Silver Knights-
1631008Manitoba Moose-Syracuse Crunch-
1681031Toronto Marlies-Syracuse Crunch-
1711046Syracuse Crunch-Texas Stars-
1741063Hartford Wolf Pack-Syracuse Crunch-
1751073Syracuse Crunch-Colorado Eagles-
1781088Syracuse Crunch-Belleville Senators-
1801097Springfield Thunderbirds-Syracuse Crunch-
1831106Syracuse Crunch-Hershey Bears-
1901134Laval Rocket-Syracuse Crunch-
1921142Syracuse Crunch-Hershey Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance22,68111,544
Assistance PCT94.50%96.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2852 - 95.07% 95,088$1,141,055$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
668,915$ 1,934,000$ 1,529,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,969$ 668,915$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,282,110$ 136 9,969$ 1,355,784$




Syracuse Crunch Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Syracuse Crunch Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Syracuse Crunch Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Syracuse Crunch Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Syracuse Crunch Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA