Connexion

Syracuse Crunch
GP: 8 | W: 4 | L: 3 | OTL: 1 | P: 9
GF: 26 | GA: 23 | PP%: 0.00% | PK%: 83.33%
DG: Remi Baril | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #151 vs Charlotte Checkers
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Centre de jeu
Hartford Wolf Pack
0-10-0, 0pts
1
FINAL
5 Syracuse Crunch
4-3-1, 9pts
Team Stats
L10SéquenceL1
0-4-0Fiche domicile4-1-0
0-6-0Fiche domicile0-2-1
0-10-0Derniers 10 matchs4-3-1
1.80Buts par match 3.25
5.30Buts contre par match 2.88
0.00%Pourcentage en avantage numérique0.00%
85.71%Pourcentage en désavantage numérique83.33%
Charlotte Checkers
6-4-0, 12pts
2
FINAL
1 Syracuse Crunch
4-3-1, 9pts
Team Stats
W2SéquenceL1
3-1-0Fiche domicile4-1-0
3-3-0Fiche domicile0-2-1
6-4-0Derniers 10 matchs4-3-1
2.40Buts par match 3.25
1.90Buts contre par match 2.88
16.67%Pourcentage en avantage numérique0.00%
92.31%Pourcentage en désavantage numérique83.33%
Syracuse Crunch
4-3-1, 9pts
Jour 24
Charlotte Checkers
6-4-0, 12pts
Statistiques d’équipe
L1SéquenceW2
4-1-0Fiche domicile3-1-0
0-2-1Fiche visiteur3-3-0
4-3-110 derniers matchs6-4-0
3.25Buts par match 2.40
2.88Buts contre par match 2.40
0.00%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique92.31%
Syracuse Crunch
4-3-1, 9pts
Jour 25
Hershey Bears
4-6-0, 8pts
Statistiques d’équipe
L1SéquenceL5
4-1-0Fiche domicile3-1-0
0-2-1Fiche visiteur1-5-0
4-3-110 derniers matchs4-6-0
3.25Buts par match 1.80
2.88Buts contre par match 1.80
0.00%Pourcentage en avantage numérique0.00%
83.33%Pourcentage en désavantage numérique76.92%
Hershey Bears
4-6-0, 8pts
Jour 27
Syracuse Crunch
4-3-1, 9pts
Statistiques d’équipe
L5SéquenceL1
3-1-0Fiche domicile4-1-0
1-5-0Fiche visiteur0-2-1
4-6-010 derniers matchs4-3-1
1.80Buts par match 3.25
3.30Buts contre par match 3.25
0.00%Pourcentage en avantage numérique0.00%
76.92%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Tyler Angle
8
Passes
Eemil Viro
6
Points
Tyler Angle
10
Plus/Moins
Tyler Angle
9

Statistiques d’équipe
Buts pour
26
3.25 GFG
Tirs pour
313
39.13 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
42.2%
Buts contre
23
2.88 GAA
Tirs contre
214
26.75 Avg
Pourcentage en désavantage numérique
83.3%%
3 GA
Début de la zone défensive
32.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,846
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 250
Espoirs56


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
1Devin ShoreXX100.007037956579778063816660646272735450003031,999,999$
2Adam ErneXX100.008171866580798463646261736371726250002921,800,000$
3Justin KirklandX100.00703984638078755971615860626870565000281700,000$
4Logan BrownX100.00403540643580904020404040306668115000262750,000$
5Tyler AngleX100.00663686666475806263586559626566485000244867,500$
6Ben McCartney (R)X100.00624363587178765761595655586365495000232830,000$
7Lauri Pajuniemi (R)X100.00403540623580904020404040306466115000251600,000$
8Elmer Soderblom (R)X100.00844192609981796258596463616365495000231842,500$
9Waltteri Merela (R)X100.00743992588578735766585962576668425000264870,000$
10Dysin MayoX100.00713972637677835930575566486870485000281700,000$
11Kodie CurranX100.004035404035809040204040403025251150003411,000,000$
12Michael Krutil (R)X100.00403540403580904020404040302525115000221600,000$
13Peter DiLiberatoreX100.00553784566472705430575355466466485000241925,000$
14Michael Callahan (R)X100.00713985578064835630555358466567545000254925,000$
15Eemil Viro (R)X100.00603692586763745730555256456264675000221842,500$
16Kim Nousiainen (R)X100.00633689566361765530545152456466585000231842,500$
17Uvis BalinskisX100.00663980647482716330655961506870365000284870,000$
Rayé
1Alex GoligoskiX100.0068338765678775623071546549908026500N03941,999,999$
MOYENNE D’ÉQUIPE100.0062397559667680554255535649636441500
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
1Braden Holtby100.00409080504040404040404084871150003511,999,999$
2Yaroslav Askarov (R)100.0066998480676665656655776272855000221925,000$
Rayé
1Dustin Tokarski100.0067997675686162626253747689455000352750,000$
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)C88210920142040172720.00%19011.2600000000002084.71%8500012.2200000312
2Peter DiLiberatoreSyracuse Crunch (TAM)D8257020158154413.33%612916.210002000000000%000001.0800000020
3Eemil ViroSyracuse Crunch (TAM)D81677807342325.00%58811.120000000000000%000001.5700000001
4Elmer SoderblomSyracuse Crunch (TAM)LW8527021521146211308.06%211314.21000000000021100.00%200011.2300100111
5Kim NousiainenSyracuse Crunch (TAM)D81677406462316.67%78811.120000000000010%000001.5700000110
6Ben McCartneySyracuse Crunch (TAM)LW84266001051731723.53%5415.21000000000000100.00%300002.8800000021
Statistiques d’équipe totales ou en moyenne48212344293757354144398414.58%2655311.5200021000004285.56%9000021.5900100575
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$1,586,598$0$0$No1,800,000$--------1,800,000$--------No--------Lien
Alex GoligoskiSyracuse Crunch (TAM)D391985-07-30USANo173 Lbs5 ft11YesNoAssign ManuallyNoNo42024-08-21FalseFalsePro & Farm1,999,999$1,762,886$0$0$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$683,119$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$731,598$0$0$No830,000$--------830,000$--------No--------Lien
Braden HoltbySyracuse Crunch (TAM)G351989-09-16CANNo215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,999,999$1,762,886$0$0$No---------------------------Lien
Devin ShoreSyracuse Crunch (TAM)C/RW301994-07-19CANNo206 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,999,999$1,762,886$0$0$No1,999,999$1,999,999$-------600,000$600,000$-------NoNo-------Lien
Dustin TokarskiSyracuse Crunch (TAM)G351989-09-16CANNo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$661,082$0$0$No750,000$--------750,000$--------No--------Lien
Dysin MayoSyracuse Crunch (TAM)D281996-08-17CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$617,010$0$0$No---------------------------Lien
Eemil ViroSyracuse Crunch (TAM)D222002-04-03FINYes165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$742,616$0$0$No---------------------------Lien
Elmer SoderblomSyracuse Crunch (TAM)LW232001-07-05SWEYes246 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm842,500$742,616$0$0$No---------------------------Lien
Justin KirklandSyracuse Crunch (TAM)LW281996-08-02CANNo183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$617,010$0$0$No---------------------------Lien
Kim NousiainenSyracuse Crunch (TAM)D232000-11-14FINYes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm842,500$742,616$0$0$No---------------------------Lien
Kodie CurranSyracuse Crunch (TAM)D341989-12-18CANNo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$881,443$0$0$No---------------------------Lien
Lauri PajuniemiSyracuse Crunch (TAM)RW251999-09-12FINYes196 Lbs6 ft0NoNoAssign ManuallyNoNo12024-08-18FalseFalsePro & Farm600,000$528,866$0$0$No---------------------------Lien
Logan BrownSyracuse Crunch (TAM)C261998-03-05USANo218 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm750,000$661,082$0$0$No750,000$--------750,000$--------No--------Lien
Michael CallahanSyracuse Crunch (TAM)D251999-09-23USAYes197 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-18FalseFalsePro & Farm925,000$815,335$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$528,866$0$0$No---------------------------Lien
Peter DiLiberatoreSyracuse Crunch (TAM)D242000-03-31CANNo160 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$815,335$0$0$No---------------------------Lien
Tyler AngleSyracuse Crunch (TAM)C242000-09-30CANNo166 Lbs5 ft10NoNoN/ANoNo42024-05-19FalseFalsePro & Farm867,500$764,652$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$766,856$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$766,856$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$815,335$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.09194 Lbs6 ft12.091,018,864$



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
1Charlotte Checkers2020000025-31010000012-11010000013-200.00023510115100839310811204718745400.00%110.00%012221556.74%7516744.91%6912754.33%237186157438545
2Hartford Wolf Pack3300000016793300000016790000000000061.0001625410011510014393108112060192965300.00%70100.00%012221556.74%7516744.91%6912754.33%237186157438545
3Hershey Bears1000010034-1000000000001000010034-110.5003580011510040931081120389416200.00%20100.00%012221556.74%7516744.91%6912754.33%237186157438545
4Providence Bruins11000000523110000005230000000000021.0005101500115100429310811202913618100.00%30100.00%012221556.74%7516744.91%6912754.33%237186157438545
5Rochester Americans1010000005-5000000000001010000005-500.00000000115100593108112040131013200.00%5260.00%012221556.74%7516744.91%6912754.33%237186157438545
Total84300100262335410000022111130200100412-890.5632643691011510031393108112021472561571200.00%18383.33%012221556.74%7516744.91%6912754.33%237186157438545
_Since Last GM Reset84300100262335410000022111130200100412-890.5632643691011510031393108112021472561571200.00%18383.33%012221556.74%7516744.91%6912754.33%237186157438545
_Vs Conference84300100262335410000022111130200100412-890.5632643691011510031393108112021472561571200.00%18383.33%012221556.74%7516744.91%6912754.33%237186157438545

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
89L1264369313214725615710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
84301002623
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
54100002211
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3020100412
Derniers 10 matchs
WLOTWOTL SOWSOL
430100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1200.00%18383.33%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
931081120115100
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
12221556.74%7516744.91%6912754.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
237186157438545


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 Crunch-Charlotte Checkers-
25157Syracuse Crunch-Hershey Bears-
27176Hershey Bears-Syracuse Crunch-
30197LeHigh Valley Phantoms-Syracuse Crunch-
31213Syracuse Crunch-Manitoba Moose-
33224Syracuse Crunch-Charlotte Checkers-
36239San Diego Gulls-Syracuse Crunch-
38254Syracuse Crunch-Charlotte Checkers-
40268Abbotsford Canucks-Syracuse Crunch-
42291Wilkes-Barre/Scranton Penguins-Syracuse Crunch-
44305Syracuse Crunch-Chicago Wolves-
46324Bakersfield Condors-Syracuse Crunch-
47333Syracuse Crunch-Utica Comets-
50347Syracuse Crunch-Chicago Wolves-
53366LeHigh Valley Phantoms-Syracuse Crunch-
55381Syracuse Crunch-Rockford IceHogs-
58391Syracuse Crunch-Grand Rapids Griffins-
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
Assistance9,4484,780
Assistance PCT94.48%95.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2846 - 94.85% 94,962$474,809$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
275,759$ 2,241,500$ 1,589,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,554$ 275,759$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,943,816$ 171 11,554$ 1,975,734$




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