Connexion

Syracuse Crunch
GP: 72 | W: 51 | L: 20 | OTL: 1 | P: 103
GF: 274 | GA: 135 | PP%: 14.20% | PK%: 87.32%
DG: Remi Baril | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Syracuse Crunch
51-20-1, 103pts
1
FINAL
4 Utica Comets
48-20-4, 100pts
Team Stats
L3SéquenceW11
26-9-1Fiche domicile26-9-1
25-11-0Fiche domicile22-11-3
6-4-0Derniers 10 matchs10-0-0
3.81Buts par match 3.47
1.88Buts contre par match 1.69
14.20%Pourcentage en avantage numérique15.90%
87.32%Pourcentage en désavantage numérique85.95%
Utica Comets
48-20-4, 100pts
5
FINAL
3 Syracuse Crunch
51-20-1, 103pts
Team Stats
W11SéquenceL3
26-9-1Fiche domicile26-9-1
22-11-3Fiche domicile25-11-0
10-0-0Derniers 10 matchs6-4-0
3.47Buts par match 3.81
1.69Buts contre par match 1.88
15.90%Pourcentage en avantage numérique14.20%
85.95%Pourcentage en désavantage numérique87.32%
Meneurs d'équipe
Buts
Elmer Soderblom
42
Passes
Jack Quinn
54
Points
Elmer Soderblom
89
Plus/Moins
Elmer Soderblom
70
Victoires
Yaroslav Askarov
25
Pourcentage d’arrêts
Braden Holtby
0.946

Statistiques d’équipe
Buts pour
274
3.81 GFG
Tirs pour
2461
34.18 Avg
Pourcentage en avantage numérique
14.2%
23 GF
Début de zone offensive
44.1%
Buts contre
135
1.88 GAA
Tirs contre
1402
19.47 Avg
Pourcentage en désavantage numérique
87.3%%
26 GA
Début de la zone défensive
32.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,848
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 250
Espoirs45


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 ShoreXX100.0070379567797479637967647066717255350N02941,999,999$
2Adam ErneXX100.008271886580828864696761666270716445002831,800,000$
3Justin Kirkland (R)X100.00693973588077795978585962606769575000272700,000$
4Logan BrownX100.00807591649678766773686063656668824700253750,000$
5Jack Quinn (R)X100.00573890717485836955686461676163874700222925,000$
6Tyler AngleX100.00573686656480866361586259666365494700231842,500$
7Ben McCartney (R)X100.00794167557182795758545556606264495000221805,000$
8Gregory HofmannX100.00403540403580904020404040302525114700301900,000$
9Lauri PajuniemiX100.00653888627484826063596158626466564700241842,500$
10Elmer Soderblom (R)X100.00834286649980676656606564666263495000222842,500$
11Dysin MayoX100.00774084657785846330666078526769493600272700,000$
12Kodie CurranX100.004035404035809040204040403025251147003321,000,000$
13Michael KrutilX100.00403540403580904020404040302525114700211750,000$
14Peter DiLiberatoreX100.00553776556470755430555452466365494700232925,000$
15Matthew Kessel (R)X100.00684174608184765930605862496365494700232842,500$
16Eemil Viro (R)X100.00583791536763685230545251456163675000212842,500$
17Kim Nousiainen (R)X100.00633695546362675330555250456365595000222842,500$
Rayé
MOYENNE D’ÉQUIPE100.0064427758697880574757565753585950460
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 Tokarski100.0067896874707274747563767488997000343750,000$
2Alex Lyon100.0063997378677072727358777185994700301750,000$
Rayé
1Arvid Holm100.0052856689536060616152706573995000241842,500$
2Eetu Makiniemi100.0056856477575858595949736471995000241842,500$
3Yaroslav Askarov (R)100.0061857079626363646555746165855000212925,000$
MOYENNE D’ÉQUIPE100.006089687962656566675574677696530
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
TampaBay30303030303011CAN43140,000$


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
1Elmer SoderblomSyracuse Crunch (TAM)LW60424789706515173873066920313.73%10100116.683471679000007178.33%6000041.78000031087
2Jack QuinnSyracuse Crunch (TAM)RW60345488704012902706517812.59%6100416.743361779000007176.00%5000021.7523000656
3Justin KirklandSyracuse Crunch (TAM)LW7225325740531513884251711859.96%27106114.750005220001182079.45%7300001.0700012133
4Tyler AngleSyracuse Crunch (TAM)C60213455476017911795913211.73%279613.28000040113154074.48%77200001.3822000155
5Matthew KesselSyracuse Crunch (TAM)D6084452454001566312034696.67%72132522.092911641370113155200%000000.7800000244
6Lauri PajuniemiSyracuse Crunch (TAM)RW602526514718039521845413613.59%481313.56000001013446176.62%7700011.2500000354
7Adam ErneSyracuse Crunch (TAM)LW/RW452321442832098671885314012.23%1184118.7045918970000435177.92%7700001.0501000243
8Logan BrownSyracuse Crunch (TAM)C26112536343115253096305211.46%549419.031347470000300082.08%41300001.4600120210
9Peter DiLiberatoreSyracuse Crunch (TAM)D608223047220952560205113.33%37104717.45314351010000110110%000000.5700000133
10Devin ShoreSyracuse Crunch (TAM)C/RW1281422230012248153816.67%527322.790224152026383085.71%1400001.6100000211
11Ben McCartneySyracuse Crunch (TAM)LW639918163410462710231788.82%63705.8810143000002171.43%2100000.9700002020
12Eemil ViroSyracuse Crunch (TAM)D6041317482204512168925.00%1373412.2400000000046100%000000.4600000101
13Kim NousiainenSyracuse Crunch (TAM)D6011516463605616184165.56%870311.730002600000100%000000.4500000010
14Michael KrutilSyracuse Crunch (TAM)D602911203607315155913.33%125118.53000000000221050.00%200000.4300000000
15Dysin MayoSyracuse Crunch (TAM)D323560017440350.00%07324.630000300007000%000001.3500000020
Statistiques d’équipe totales ou en moyenne761223368591587399559916851857518129912.01%2181105414.531727441726003251653642677.23%155900071.0746137314437
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
1Yaroslav AskarovSyracuse Crunch (TAM)2825300.9330.961684011274010101.00052838130
2Braden HoltbyTampa Bay Lightning109100.9460.6060427611200000100100
3Stuart SkinnerTampa Bay Lightning128400.9151.4172402172000001.0003120110
Statistiques d’équipe totales ou en moyenne5042800.9301.0030132205071301085038340


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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/RW284/20/1995No212 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,800,000$0$0$No1,800,000$1,800,000$-------NoNo-------Lien
Alex LyonSyracuse Crunch (TAM)G3012/9/1992No201 Lbs6 ft1NoNoTrade1/28/2024NoNo1Pro & Farm750,000$0$0$No------------------Lien
Arvid HolmSyracuse Crunch (TAM)G2411/3/1998No213 Lbs6 ft4NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Ben McCartneySyracuse Crunch (TAM)LW227/13/2001Yes182 Lbs6 ft0NoNoN/ANoNo1Pro & Farm805,000$0$0$No------------------Lien
Devin ShoreSyracuse Crunch (TAM)C/RW297/19/1994No206 Lbs6 ft1YesNoN/ANoNo4Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$1,999,999$------YesYesYes------Lien
Dustin TokarskiSyracuse Crunch (TAM)G349/16/1989No198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Dysin MayoSyracuse Crunch (TAM)D278/17/1996No183 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Eemil ViroSyracuse Crunch (TAM)D214/3/2002Yes165 Lbs6 ft0NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Lien
Eetu MakiniemiSyracuse Crunch (TAM)G244/19/1999No184 Lbs6 ft2NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Elmer SoderblomSyracuse Crunch (TAM)LW227/5/2001Yes246 Lbs6 ft8NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Lien
Gregory HofmannSyracuse Crunch (TAM)C3011/13/1992No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Jack QuinnSyracuse Crunch (TAM)RW229/19/2001Yes185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien
Justin KirklandSyracuse Crunch (TAM)LW278/2/1996Yes183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Kim NousiainenSyracuse Crunch (TAM)D2211/14/2000Yes170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Lien
Kodie CurranSyracuse Crunch (TAM)D3312/18/1989No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Lauri PajuniemiSyracuse Crunch (TAM)RW249/12/1999No196 Lbs6 ft0NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Logan BrownSyracuse Crunch (TAM)C253/5/1998No218 Lbs6 ft6NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Matthew KesselSyracuse Crunch (TAM)D236/23/2000Yes205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Lien
Michael KrutilSyracuse Crunch (TAM)D216/3/2002No202 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Peter DiLiberatoreSyracuse Crunch (TAM)D233/31/2000No160 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien
Tyler AngleSyracuse Crunch (TAM)C239/30/2000No166 Lbs5 ft10NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Yaroslav AskarovSyracuse Crunch (TAM)G216/16/2002Yes178 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.23193 Lbs6 ft21.86928,182$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
2Elmer SoderblomJack Quinn30122
3Justin KirklandTyler AngleLauri Pajuniemi22122
4Ben McCartney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew Kessel38122
2Peter DiLiberatore30122
3Kim NousiainenEemil Viro22122
4Michael Krutil10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Elmer SoderblomJack Quinn40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew Kessel60122
2Peter DiLiberatore40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew Kessel60122
2Peter DiLiberatore40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Matthew Kessel60122
240122Peter DiLiberatore40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew Kessel60122
2Peter DiLiberatore40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew Kessel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew Kessel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Kirkland, Tyler Angle, Lauri PajuniemiJustin Kirkland, Tyler AngleLauri Pajuniemi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kim Nousiainen, Eemil Viro, Michael KrutilKim NousiainenEemil Viro, Michael Krutil
Tirs de pénalité
, , , , Jack Quinn
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
1Belleville Senators8710000043152844000000244204310000019118140.8754371114021337363734685782475436150365216814428.57%20480.00%11189189162.88%775137856.24%618101860.71%222017781400379725394
2Bridgeport Islanders22000000844110000006331100000021141.00081523001337363797857824754369321464100.00%30100.00%01189189162.88%775137856.24%618101860.71%222017781400379725394
3Cleveland Monsters41300000216-142110000023-120200000013-1320.250246011337363780857824754361242537432214.55%11372.73%01189189162.88%775137856.24%618101860.71%222017781400379725394
4Hartford Wolf Pack2200000015015110000007071100000080841.00015274202133736371028578247543617112413133.33%60100.00%11189189162.88%775137856.24%618101860.71%222017781400379725394
5Hershey Bears2200000015213110000008081100000072541.000152540011337363712885782475436228230400.00%10100.00%01189189162.88%775137856.24%618101860.71%222017781400379725394
6Laval Rocket861000103973243100000183154300001021417140.8753969108041337363727685782475436124516713319526.32%30390.00%11189189162.88%775137856.24%618101860.71%222017781400379725394
7LeHigh Valley Phantoms2200000013112110000006151100000070741.0001322350113373637117857824754362210435400.00%20100.00%01189189162.88%775137856.24%618101860.71%222017781400379725394
8Providence Bruins421000101174210000106332110000054160.75011193011133736378685782475436771734551417.14%15193.33%11189189162.88%775137856.24%618101860.71%222017781400379725394
9Rochester Americans1246001101723-662200110911-262400000812-4110.45817264301133736373458578247543623660762352713.70%32293.75%01189189162.88%775137856.24%618101860.71%222017781400379725394
10Springfield Thunderbirds2200000016115110000008081100000081741.000162743011337363791857824754363891350100.00%40100.00%01189189162.88%775137856.24%618101860.71%222017781400379725394
11Toronto Marlies880000004793844000000204164400000027522161.000478913602133736373768578247543698213417111436.36%17194.12%01189189162.88%775137856.24%618101860.71%222017781400379725394
12Utica Comets1475020004132973301000161427420100025187180.64341761170213373637363857824754362707214020937616.22%48883.33%01189189162.88%775137856.24%618101860.71%222017781400379725394
13Wilkes-Barre/Scranton Penguins41300000718-1120200000012-122110000076120.2507132000133736375485782475436131383666500.00%16475.00%01189189162.88%775137856.24%618101860.71%222017781400379725394
Total72462002130274135139362390112013058723623110101014477671030.71527448375711813373637246185782475436140236951113001622314.20%2052687.32%41189189162.88%775137856.24%618101860.71%222017781400379725394
_Since Last GM Reset72462002130274135139362390112013058723623110101014477671030.71527448375711813373637246185782475436140236951113001622314.20%2052687.32%41189189162.88%775137856.24%618101860.71%222017781400379725394
_Vs Conference664317021302561181383321801120120556533229010101366373970.73525645270811613373637229085782475436124033546112071392215.83%1902387.89%41189189162.88%775137856.24%618101860.71%222017781400379725394

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
72103L3274483757246114023695111300118
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7246202130274135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36239112013058
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
362311101014477
Derniers 10 matchs
WLOTWOTL SOWSOL
440020
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1622314.20%2052687.32%4
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
8578247543613373637
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
1189189162.88%775137856.24%618101860.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
222017781400379725394


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
42Syracuse Crunch5Utica Comets4AWXSommaire du match
518Bridgeport Islanders3Syracuse Crunch6BWSommaire du match
1135Syracuse Crunch0Cleveland Monsters4ALSommaire du match
1249Syracuse Crunch0Cleveland Monsters9ALSommaire du match
1877Utica Comets2Syracuse Crunch1BLSommaire du match
1989Laval Rocket2Syracuse Crunch0BLSommaire du match
23110Syracuse Crunch1Rochester Americans2ALSommaire du match
26127Rochester Americans5Syracuse Crunch1BLSommaire du match
30146Syracuse Crunch5Belleville Senators4AWSommaire du match
32152Wilkes-Barre/Scranton Penguins7Syracuse Crunch0BLSommaire du match
33162Syracuse Crunch3Wilkes-Barre/Scranton Penguins4ALSommaire du match
36182Syracuse Crunch2Bridgeport Islanders1AWSommaire du match
39193Hartford Wolf Pack0Syracuse Crunch7BWSommaire du match
40207Syracuse Crunch8Hartford Wolf Pack0AWSommaire du match
44232Syracuse Crunch5Utica Comets2AWSommaire du match
46239Utica Comets1Syracuse Crunch2BWXSommaire du match
47256Laval Rocket0Syracuse Crunch9BWSommaire du match
53278Toronto Marlies0Syracuse Crunch6BWSommaire du match
54290Syracuse Crunch8Toronto Marlies0AWSommaire du match
60315Hershey Bears0Syracuse Crunch8BWSommaire du match
61333Utica Comets0Syracuse Crunch1BWSommaire du match
62344Syracuse Crunch2Utica Comets3ALSommaire du match
65353Syracuse Crunch4Wilkes-Barre/Scranton Penguins2AWSommaire du match
68369Syracuse Crunch4Utica Comets2AWSommaire du match
69384Syracuse Crunch3Providence Bruins0AWSommaire du match
72389Laval Rocket0Syracuse Crunch6BWSommaire du match
74404Cleveland Monsters3Syracuse Crunch1BLSommaire du match
75417Rochester Americans1Syracuse Crunch3BWSommaire du match
79431Syracuse Crunch2Rochester Americans1AWSommaire du match
81441Syracuse Crunch4Laval Rocket0AWSommaire du match
82450Syracuse Crunch7Laval Rocket0AWSommaire du match
89488Syracuse Crunch7Toronto Marlies1AWSommaire du match
90508Syracuse Crunch6Toronto Marlies1AWSommaire du match
95518Springfield Thunderbirds0Syracuse Crunch8BWSommaire du match
96536Cleveland Monsters0Syracuse Crunch1BWSommaire du match
98548Utica Comets1Syracuse Crunch4BWSommaire du match
102565Providence Bruins1Syracuse Crunch3BWSommaire du match
103579Utica Comets1Syracuse Crunch2BWSommaire du match
109608Laval Rocket1Syracuse Crunch3BWSommaire du match
110626Syracuse Crunch4Utica Comets0AWSommaire du match
114649Syracuse Crunch1Rochester Americans2ALSommaire du match
120656Belleville Senators1Syracuse Crunch8BWSommaire du match
121674Belleville Senators0Syracuse Crunch5BWSommaire du match
123691Syracuse Crunch2Rochester Americans1AWSommaire du match
124700Rochester Americans0Syracuse Crunch1BWXXSommaire du match
128720Syracuse Crunch7Belleville Senators0AWSommaire du match
131739Syracuse Crunch7LeHigh Valley Phantoms0AWSommaire du match
137771Syracuse Crunch4Utica Comets3AWSommaire du match
138788Belleville Senators1Syracuse Crunch7BWSommaire du match
139801Utica Comets4Syracuse Crunch3BLSommaire du match
142811Syracuse Crunch1Rochester Americans3ALSommaire du match
144817Toronto Marlies1Syracuse Crunch4BWSommaire du match
145831Syracuse Crunch6Toronto Marlies3AWSommaire du match
149851Syracuse Crunch6Laval Rocket1AWSommaire du match
151864Syracuse Crunch1Rochester Americans3ALSommaire du match
152874Rochester Americans3Syracuse Crunch2BLXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
156897Rochester Americans1Syracuse Crunch2BWSommaire du match
158905Belleville Senators2Syracuse Crunch4BWSommaire du match
159918Syracuse Crunch7Hershey Bears2AWSommaire du match
165951Wilkes-Barre/Scranton Penguins5Syracuse Crunch0BLSommaire du match
166970Syracuse Crunch8Springfield Thunderbirds1AWSommaire du match
167975Syracuse Crunch2Providence Bruins4ALSommaire du match
170987Rochester Americans1Syracuse Crunch0BLSommaire du match
172998LeHigh Valley Phantoms1Syracuse Crunch6BWSommaire du match
1731013Providence Bruins2Syracuse Crunch3BWXXSommaire du match
1791038Syracuse Crunch4Laval Rocket3AWXXSommaire du match
1801050Syracuse Crunch6Belleville Senators3AWSommaire du match
1861078Toronto Marlies2Syracuse Crunch8BWSommaire du match
1871093Toronto Marlies1Syracuse Crunch2BWSommaire du match
1911111Syracuse Crunch1Belleville Senators4ALSommaire du match
1931120Syracuse Crunch1Utica Comets4ALSommaire du match
1941133Utica Comets5Syracuse Crunch3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance67,87434,665
Assistance PCT94.27%96.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2848 - 94.94% 94,910$3,416,768$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,096,329$ 2,042,000$ 1,537,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,418$ 2,095,897$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,418$ 0$




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