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Connexion

Syracuse Crunch
GP: 15 | W: 9 | L: 6 | OTL: 0 | P: 18
GF: 69 | GA: 56 | PP%: 38.46% | PK%: 72.97%
DG: Jannick Dumont | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #266 vs Rochester Americans

Centre de jeu
San Jose Barracuda
9-5-2, 20pts
6
FINAL
7 Syracuse Crunch
9-6-0, 18pts
Team Stats
W1SéquenceL1
6-2-0Fiche domicile5-3-0
3-3-2Fiche domicile4-3-0
6-3-1Derniers 10 matchs6-4-0
4.25Buts par match 4.60
4.13Buts contre par match 3.73
29.55%Pourcentage en avantage numérique38.46%
76.32%Pourcentage en désavantage numérique72.97%
Syracuse Crunch
9-6-0, 18pts
2
FINAL
3 Rockford IceHogs
8-10-0, 16pts
Team Stats
L1SéquenceW1
5-3-0Fiche domicile6-2-0
4-3-0Fiche domicile2-8-0
6-4-0Derniers 10 matchs5-5-0
4.60Buts par match 3.22
3.73Buts contre par match 4.39
38.46%Pourcentage en avantage numérique17.78%
72.97%Pourcentage en désavantage numérique73.91%
Rochester Americans
7-9-1, 15pts
Jour 40
Syracuse Crunch
9-6-0, 18pts
Statistiques d’équipe
L1SéquenceL1
3-4-1Fiche domicile5-3-0
4-5-0Fiche visiteur4-3-0
4-5-110 derniers matchs6-4-0
4.94Buts par match 4.60
5.47Buts contre par match 4.60
35.29%Pourcentage en avantage numérique38.46%
74.29%Pourcentage en désavantage numérique72.97%
Belleville Senators
5-9-1, 11pts
Jour 43
Syracuse Crunch
9-6-0, 18pts
Statistiques d’équipe
W1SéquenceL1
3-5-0Fiche domicile5-3-0
2-4-1Fiche visiteur4-3-0
5-4-110 derniers matchs6-4-0
3.53Buts par match 4.60
4.80Buts contre par match 4.60
19.51%Pourcentage en avantage numérique38.46%
65.96%Pourcentage en désavantage numérique72.97%
Syracuse Crunch
9-6-0, 18pts
Jour 45
Utica Comets
11-4-2, 24pts
Statistiques d’équipe
L1SéquenceW4
5-3-0Fiche domicile6-1-1
4-3-0Fiche visiteur5-3-1
6-4-010 derniers matchs8-2-0
4.60Buts par match 3.82
3.73Buts contre par match 3.82
38.46%Pourcentage en avantage numérique21.62%
72.97%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Ryan SchmelzerButs
Ryan Schmelzer
15
Josh BrownPasses
Josh Brown
15
Ryan SchmelzerPoints
Ryan Schmelzer
24
Ryan SchmelzerPlus/Moins
Ryan Schmelzer
8
Drew CommessoVictoires
Drew Commesso
9
Drew CommessoPourcentage d’arrêts
Drew Commesso
0.893

Statistiques d’équipe
Buts pour
69
4.60 GFG
Tirs pour
560
37.33 Avg
Pourcentage en avantage numérique
38.5%
15 GF
Début de zone offensive
38.4%
Buts contre
56
3.73 GAA
Tirs contre
547
36.47 Avg
Pourcentage en désavantage numérique
73.0%%
10 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralJannick Dumont
EntraîneurJessica Campbell
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance8,818
Billets de saison8,370


Informations de la formation

Équipe Pro19
Équipe Mineure19
Limite contact 38 / 60
Espoirs15


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
1Ryan SchmelzerX96.00564566676173726563636158646561050630321775,000$
2Simon RobertssonX100.00624167626260585841555559585050050580222867,500$
3Felix Unger SorumX100.00584168626158575942595454585050050570202831,667$
4Josh BrownX100.006962586477757363405756716175590506703121,000,000$
5Corey SchuenemanX100.00604272666370696440605568615950050640301775,000$
6Ian MitchellX100.00584172726068656340635668646050050640261775,000$
7Shai BuiumX100.00634167626562616140615564595050050610222925,000$
Rayé
1Vasili PonomarevX100.005843686962646263626357576351500506102300$
2Matt StromeX100.006344676168676560425753595854500505902600$
3Tristan BrozX100.00574264626162616255605955615050050590232925,000$
4Lucas VanroboysXXX100.006155556464656258415255585952500505802600$
5Ty SmithX100.005743667161646264406356676453500506302500$
6Topi NiemelaX100.005642716861646262406255636251500506102300$
7Taige HardingX100.006540625871595755405453625551500505902300$
8Adam McCormickX100.005940666261615855405353615752500505802500$
9Guillaume RichardX100.005840626259585756405455605850500505802200$
MOYENNE D’ÉQUIPE99.7560446665646463614459566260555105061
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
Rayé
1Drew Commesso97.0072636763697174717269575050050630231925,000$
2Waltteri Ignatjew100.00686364646665676466665852500506002500$
3Jacob Ingham100.00635656676259595661605152500505602500$
MOYENNE D’ÉQUIPE99.006861626566656764666555515005060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jessica Campbell1111111CAN3351$


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
1Ryan SchmelzerSyracuse Crunch (TBL)C1515924820206776185119.74%233522.372357310000331061.57%49700011.4300000401
2Josh BrownSyracuse Crunch (TBL)D15615214120522945182713.33%3235123.45325192900002600100.00%100001.1900000221
3Ian MitchellSyracuse Crunch (TBL)D154141810017233492711.76%1829819.891561827000029100%200001.2100000011
4Corey SchuenemanSyracuse Crunch (TBL)D1561117260262230211520.00%2130120.1035814270000272050.00%200011.1300000111
5Simon RobertssonSyracuse Crunch (TBL)RW154131786018165711327.02%626417.6315614300000271041.67%3600001.2900000103
6Felix Unger SorumSyracuse Crunch (TBL)RW15681424032226211479.68%327918.63123926000051040.00%3500001.0000000000
7Shai BuiumSyracuse Crunch (TBL)D150131331004130155140%2624516.390000200007000%000001.0600000021
8Tristan BrozSyracuse Crunch (TBL)C94610000202237161810.81%217219.22000010000140054.29%17500001.1600000001
9Jordan OesterleTampa Bay LightningD1000000205250%32323.650003100000000%10000000000000
Statistiques d’équipe totales ou en moyenne11545891342840022823136111123612.47%113227319.771122338417900001716057.68%74900021.1800000869
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
1Drew CommessoSyracuse Crunch (TBL)149300.8934.03715604844900100140010
Statistiques d’équipe totales ou en moyenne149300.8934.0371560484490010140010


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 McCormickSyracuse Crunch (TBL)D252000-06-25CANNo190 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Corey SchuenemanSyracuse Crunch (TBL)D301995-09-02USANo196 Lbs6 ft0NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Drew CommessoSyracuse Crunch (TBL)G232002-07-19USANo181 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm925,000$726,412$0$0$No---------------------------Lien NHL
Felix Unger SorumSyracuse Crunch (TBL)RW202005-09-14SWENo179 Lbs6 ft0NoNoTrade2025-09-24NoNo22025-05-26FalseFalsePro & Farm831,667$653,117$0$0$No831,667$--------831,667$--------No--------
Guillaume RichardSyracuse Crunch (TBL)D222003-02-10CANNo170 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Ian MitchellSyracuse Crunch (TBL)D261999-01-18CANNo172 Lbs5 ft11NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Jacob InghamSyracuse Crunch (TBL)G252000-06-10CANNo205 Lbs6 ft5NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Josh BrownSyracuse Crunch (TBL)D311994-01-21CANNo220 Lbs6 ft5NoNoFantasy DraftNoNo22025-05-26FalseFalsePro & Farm1,000,000$785,311$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Lucas VanroboysSyracuse Crunch (TBL)C/LW/RW261999-07-24CANNo190 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Matt StromeSyracuse Crunch (TBL)RW261999-01-06CANNo205 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Ryan SchmelzerSyracuse Crunch (TBL)C321993-07-28USANo187 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Shai BuiumSyracuse Crunch (TBL)D222003-03-26USANo209 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm925,000$726,412$0$0$No925,000$--------925,000$--------No--------Lien NHL
Simon RobertssonSyracuse Crunch (TBL)RW222003-02-05SWENo190 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm867,500$681,257$0$0$No867,500$--------867,500$--------No--------
Taige HardingSyracuse Crunch (TBL)D232002-01-03CANNo236 Lbs6 ft7NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Topi NiemelaSyracuse Crunch (TBL)D232002-03-25FINNo179 Lbs6 ft0NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Tristan BrozSyracuse Crunch (TBL)C232002-10-10USANo179 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm925,000$726,412$0$0$No925,000$--------925,000$--------No--------
Ty SmithSyracuse Crunch (TBL)D252000-03-24CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Vasili PonomarevSyracuse Crunch (TBL)C232002-03-13RUSNo181 Lbs5 ft11NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Waltteri IgnatjewSyracuse Crunch (TBL)G251999-12-03FINNo198 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1924.84192 Lbs6 ft20.74410,482$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan SchmelzerSimon Robertsson30122
2Felix Unger Sorum30122
325122
4Ryan Schmelzer15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown30122
2Ian MitchellCorey Schueneman30122
3Shai Buium25122
4Josh Brown15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan SchmelzerSimon Robertsson50122
2Felix Unger Sorum50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown50122
2Ian MitchellCorey Schueneman50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Schmelzer50122
2Simon Robertsson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown50122
2Ian MitchellCorey Schueneman50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Schmelzer50122Josh Brown50122
250122Ian MitchellCorey Schueneman50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Schmelzer50122
2Simon Robertsson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown50122
2Ian MitchellCorey Schueneman50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan SchmelzerSimon RobertssonJosh Brown
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan SchmelzerSimon RobertssonJosh Brown
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Felix Unger Sorum, , Simon RobertssonFelix Unger Sorum, Simon Robertsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Shai Buium, Ian Mitchell, Corey SchuenemanShai BuiumIan Mitchell, Corey Schueneman
Tirs de pénalité
Ryan Schmelzer, , , Simon Robertsson, Felix Unger Sorum
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Ryan Schmelzer, , , Simon Robertsson, Felix Unger Sorum, , , , ,
Lignes de défense personnalisées en prolongation
, Josh Brown, Ian Mitchell, Corey Schueneman, Shai Buium


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 Senators2110000067-11010000024-21100000043120.50061218003514191521861931792752820466350.00%10190.00%025651050.20%27954151.57%15827757.04%35725535410418894
2Charlotte Checkers11000000624110000006240000000000021.0006121800351419157186193179233102202150.00%10100.00%025651050.20%27954151.57%15827757.04%35725535410418894
3Cleveland Monsters1010000013-21010000013-20000000000000.0001231035141912918619317922010413000%20100.00%025651050.20%27954151.57%15827757.04%35725535410418894
4Grand Rapids Griffins11000000633110000006330000000000021.000612180035141913318619317922882155480.00%10100.00%025651050.20%27954151.57%15827757.04%35725535410418894
5Hartford Wolf Pack11000000541110000005410000000000021.00051015003514191301861931792347433200.00%2150.00%025651050.20%27954151.57%15827757.04%35725535410418894
6Hershey Bears1010000046-21010000046-20000000000000.000471100351419148186193179240116254125.00%3166.67%025651050.20%27954151.57%15827757.04%35725535410418894
7Laval Rocket1010000067-1000000000001010000067-100.0006111700351419141186193179254131029100.00%5340.00%025651050.20%27954151.57%15827757.04%35725535410418894
8Lehigh Valley Phantoms11000000752000000000001100000075221.000712190035141913918619317925516419200.00%2150.00%025651050.20%27954151.57%15827757.04%35725535410418894
9Rochester Americans11000000633000000000001100000063321.000611170035141914018619317924914415400.00%2150.00%025651050.20%27954151.57%15827757.04%35725535410418894
10Rockford IceHogs1010000023-1000000000001010000023-100.00024600351419127186193179223114252150.00%20100.00%025651050.20%27954151.57%15827757.04%35725535410418894
11San Jose Barracuda10001000761100010007610000000000021.00071219003514191361861931792421012162150.00%5260.00%025651050.20%27954151.57%15827757.04%35725535410418894
12Springfield Thunderbirds11000000431000000000001100000043121.00048120035141913918619317923780204250.00%000%025651050.20%27954151.57%15827757.04%35725535410418894
13Toronto Marlies1010000012-1000000000001010000012-100.0001230035141914218619317922852183133.33%10100.00%025651050.20%27954151.57%15827757.04%35725535410418894
14Utica Comets11000000826110000008260000000000021.000815230035141914718619317922942262150.00%10100.00%025651050.20%27954151.57%15827757.04%35725535410418894
Total15860100069561384301000393097430000030264180.60069130199103514191560186193179254715576320391538.46%371072.97%025651050.20%27954151.57%15827757.04%35725535410418894
_Since Last GM Reset15860100069561384301000393097430000030264180.60069130199103514191560186193179254715576320391538.46%371072.97%025651050.20%27954151.57%15827757.04%35725535410418894
_Vs Conference13850000060471374300000322486420000028235160.61560114174103514191497186193179248213460279351337.14%30873.33%025651050.20%27954151.57%15827757.04%35725535410418894
_Vs Division544000002520542200000181531220000075280.8002546711035141911931861931792178482011610220.00%10370.00%025651050.20%27954151.57%15827757.04%35725535410418894

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1518L1691301995605471557632010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
158610006956
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84310003930
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300003026
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
391538.46%371072.97%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
18619317923514191
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
25651050.20%27954151.57%15827757.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
35725535410418894


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
28Charlotte Checkers2Syracuse Crunch6WSommaire du match
637Cleveland Monsters3Syracuse Crunch1LSommaire du match
849Syracuse Crunch4Belleville Senators3WSommaire du match
1268Utica Comets2Syracuse Crunch8WSommaire du match
1487Syracuse Crunch1Toronto Marlies2LSommaire du match
17101Hershey Bears6Syracuse Crunch4LSommaire du match
21131Hartford Wolf Pack4Syracuse Crunch5WSommaire du match
22141Syracuse Crunch7Lehigh Valley Phantoms5WSommaire du match
25157Syracuse Crunch6Laval Rocket7LSommaire du match
26166Grand Rapids Griffins3Syracuse Crunch6WSommaire du match
30194Belleville Senators4Syracuse Crunch2LSommaire du match
32214Syracuse Crunch4Springfield Thunderbirds3WSommaire du match
33222Syracuse Crunch6Rochester Americans3WSommaire du match
35235San Jose Barracuda6Syracuse Crunch7WXSommaire du match
38254Syracuse Crunch2Rockford IceHogs3LSommaire du match
40266Rochester Americans-Syracuse Crunch-
43291Belleville Senators-Syracuse Crunch-
45305Syracuse Crunch-Utica Comets-
47313Syracuse Crunch-Rochester Americans-
49328Milwaukee Admirals-Syracuse Crunch-
53355Grand Rapids Griffins-Syracuse Crunch-
58386Rochester Americans-Syracuse Crunch-
60396Syracuse Crunch-Coachella Valley Firebirds-
64418Providence Bruins-Syracuse Crunch-
66434Syracuse Crunch-Laval Rocket-
68450Utica Comets-Syracuse Crunch-
70462Syracuse Crunch-Hershey Bears-
73481Ontario Reign-Syracuse Crunch-
75490Syracuse Crunch-Toronto Marlies-
77503Syracuse Crunch-Bakersfield Condors-
79510Syracuse Crunch-Cleveland Monsters-
81523Springfield Thunderbirds-Syracuse Crunch-
83539Syracuse Crunch-Bridgeport Islanders-
85552Laval Rocket-Syracuse Crunch-
87560Syracuse Crunch-Iowa Wild-
91583Wilkes-Barre Penguins-Syracuse Crunch-
94607Syracuse Crunch-Calgary Wranglers-
96621Bridgeport Islanders-Syracuse Crunch-
100645Bridgeport Islanders-Syracuse Crunch-
103666Syracuse Crunch-Cleveland Monsters-
105676Cleveland Monsters-Syracuse Crunch-
107688Syracuse Crunch-Ontario Reign-
110709Syracuse Crunch-Utica Comets-
111716Syracuse Crunch-Belleville Senators-
113730Hartford Wolf Pack-Syracuse Crunch-
116745Syracuse Crunch-Hartford Wolf Pack-
117753Colorado Eagles-Syracuse Crunch-
121781Tucson Roadrunners-Syracuse Crunch-
124805Charlotte Checkers-Syracuse Crunch-
125808Syracuse Crunch-Lehigh Valley Phantoms-
128831Syracuse Crunch-Grand Rapids Griffins-
130843Charlotte Checkers-Syracuse Crunch-
135871Syracuse Crunch-Texas Stars-
136878Providence Bruins-Syracuse Crunch-
138900Syracuse Crunch-Wilkes-Barre Penguins-
140910Henderson Silver Knights-Syracuse Crunch-
144926Syracuse Crunch-Grand Rapids Griffins-
145940Laval Rocket-Syracuse Crunch-
148956Syracuse Crunch-Springfield Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150969Toronto Marlies-Syracuse Crunch-
154995Toronto Marlies-Syracuse Crunch-
1551000Syracuse Crunch-Wilkes-Barre Penguins-
1581016Syracuse Crunch-Chicago Wolves-
1611032Lehigh Valley Phantoms-Syracuse Crunch-
1621043Syracuse Crunch-Charlotte Checkers-
1651062Hershey Bears-Syracuse Crunch-
1671073Syracuse Crunch-Providence Bruins-
1711093Syracuse Crunch-Abbotsford Canucks-
1731104Manitoba Moose-Syracuse Crunch-
1751112Syracuse Crunch-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance47,16023,381
Assistance PCT98.25%97.42%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 8818 - 97.97% 441,379$3,531,030$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
168,742$ 779,917$ 779,917$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 166,132$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,917,226$ 139 4,406$ 612,434$




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