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Syracuse Crunch
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Tony Chiu | Morale : 50 | Moyenne d’équipe : 53

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralTony Chiu
DivisionMetro-Atlantic Division
ConférenceEastern Conference
CapitaineAdam Engstrom
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 60
Espoirs19


Historique d'équipe

Saison actuelle0-0
Historique89-70-5 (0.543%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)9 - 14 (0.391%)
Coupe Stanley0


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
1Danila KlimovichX100.00575767667370686457606667565553050640221900,000$
2Alex Bump (R)X100.00565672566856565757575661565553050580213775,000$
3Leon Muggli (R)X100.00565672566656565642565661565050050570183925,000$
Rayé
1Rory KerinsX100.00586073586571687072667068575855050660231750,000$
2Adam SykoraX100.00565971646671686357636064565452050630201925,000$
3Sasha PastujovX100.00565971636765646657656364565553050630211875,000$
4Jordan DumaisXX100.00566072576060605857585863565452050590212875,000$
5Jack Devine (R)X100.00565672566656565657575661565553050570213675,000$
6Brandon Buhr (R)X100.001111111111111110110232625,000$
7Noah Steen (R)X100.001111111111111110110203675,000$
8Matthew Dimarsico (R)X100.001111111111111110110212625,000$
9Victor ManciniX100.00615081698765636043656070575757050660231775,000$
10Adam Engstrom (C)X100.00575768627070686242635869565553050630212875,000$
11Elias Salomonsson (R)X100.00575670616967666242635865565452050620203925,000$
12Lukas CormierX100.00575671586560595842595661565754050590231925,000$
MOYENNE D’ÉQUIPE100.0046465849555150494249485245444304049
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
1Artur Akhtyamov100.0067707164706870696470676356050680231825,000$
Rayé
1Remi Poirier100.0072737364726871726470636356050700232850,000$
2Cayden Primeau100.0071686874756869677069726457050690251850,000$
3Domenic Divincentiis (R)100.0069717263716271726670785852050680213675,000$
MOYENNE D’ÉQUIPE100.007071716672677070667070625505069
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
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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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 EngstromSyracuse Crunch (TB )D212003-11-17SWENo190 Lbs6 ft2NoNoProspectNoNo22025-03-23FalseFalsePro & Farm875,000$250,000$0$0$No875,000$--------875,000$--------No--------Lien
Adam SykoraSyracuse Crunch (TB )C202004-09-07SVKNo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$264,286$0$0$No---------------------------Lien
Alex BumpSyracuse Crunch (TB )C212003-11-20USAYes194 Lbs6 ft0NoNoDraftNoNo32025-07-11FalseFalsePro & Farm775,000$221,429$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Artur AkhtyamovSyracuse Crunch (TB )G232001-10-31RUSNo170 Lbs6 ft2NoNoProspectNoNo12024-11-21FalseFalsePro & Farm825,000$235,714$0$0$No---------------------------Lien
Brandon BuhrSyracuse Crunch (TB )RW232002-02-07CANYes200 Lbs5 ft2NoNoProspectNoNo22026-04-07FalseFalsePro & Farm625,000$178,571$0$0$No625,000$--------100,000$--------No--------
Cayden PrimeauSyracuse Crunch (TB )G251999-08-11USANo205 Lbs6 ft3NoNoN/ANoNo12025-08-08FalseFalsePro & Farm850,000$242,857$0$0$No---------------------------Lien / Lien NHL
Danila KlimovichSyracuse Crunch (TB )RW222003-01-09BLRNo203 Lbs6 ft2NoNoTrade2026-03-21NoNo12025-08-13FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Domenic DivincentiisSyracuse Crunch (TB )G212004-03-04CANYes192 Lbs6 ft2NoNoProspectNoNo32025-07-11FalseFalsePro & Farm675,000$192,857$0$0$No675,000$675,000$-------675,000$675,000$-------NoNo-------Lien
Elias SalomonssonSyracuse Crunch (TB )D202004-08-31SWEYes185 Lbs6 ft2NoNoProspectNoNo32025-07-11FalseFalsePro & Farm925,000$264,286$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Jack DevineSyracuse Crunch (TB )C212003-10-02USAYes181 Lbs6 ft0NoNoProspectNoNo32025-07-11FalseFalsePro & Farm675,000$192,857$0$0$No675,000$675,000$-------675,000$675,000$-------NoNo-------Lien
Jordan DumaisSyracuse Crunch (TB )LW/RW212004-04-15CANNo174 Lbs5 ft9NoNoProspectNoNo22025-03-31FalseFalsePro & Farm875,000$250,000$0$0$No875,000$--------875,000$--------No--------Lien
Leon MuggliSyracuse Crunch (TB )D182006-07-09SUIYes176 Lbs6 ft1NoNoProspectNoNo32025-07-11FalseFalsePro & Farm925,000$264,286$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Lukas CormierSyracuse Crunch (TB )D232002-03-27CANNo190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm925,000$264,286$0$0$No---------------------------Lien
Matthew DimarsicoSyracuse Crunch (TB )LW212004-01-07USAYes180 Lbs5 ft0NoNoProspectNoNo22026-04-09FalseFalsePro & Farm625,000$178,571$0$0$No625,000$--------100,000$--------No--------
Noah SteenSyracuse Crunch (TB )LW202004-08-16NORYes187 Lbs5 ft1NoNoProspectNoNo32026-04-07FalseFalsePro & Farm675,000$192,857$0$0$No675,000$675,000$-------100,000$100,000$-------NoNo-------
Remi PoirierSyracuse Crunch (TB )G232001-10-06CANNo205 Lbs6 ft2NoNoN/ANoNo22025-08-08FalseFalsePro & Farm850,000$242,857$0$0$No850,000$--------850,000$--------No--------Lien
Rory KerinsSyracuse Crunch (TB )C232002-04-12CANNo173 Lbs5 ft10NoNoN/ANoNo12024-08-12FalseFalsePro & Farm750,000$214,286$0$0$No---------------------------Lien
Sasha PastujovSyracuse Crunch (TB )RW212003-07-15USANo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm875,000$250,000$0$0$No---------------------------Lien
Victor ManciniSyracuse Crunch (TB )D232002-05-26USANo228 Lbs6 ft3NoNoDraftNoNo12024-10-03FalseFalsePro & Farm775,000$221,429$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1921.58190 Lbs5 ft111.89806,579$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
230122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,532,500$ 1,532,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 4 0$ 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
1Brandt Clarke1402890118-1512828620024511.43%190291520.8220254514701108142.37%00.8123
2Pierrick Dube10735498410571531813569.83%16181016.9216132910000035450.97%00.9326
3Owen Sillinger8226426854213614024110.79%15154418.83516215900027253.21%10.8835
4Rory Kerins10123355884310614922910.04%19165416.38712195500057257.52%00.7000
5Nils Hoglander58262955-4371221162779.39%12109318.85616227600014451.72%11.0112

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
1Cayden Primeau43261610.9152.76260612212014040100.69623
2Lukas Dostal36181620.9033.2921730111912310010.8336
3Hunter Shepard54010.9501.773050091810000.5002

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
Saison régulière
202382363701242274278-441191900021131129241171801221143149-68627450177513115728282966952104294546291686487419653696918.70%3676981.20%71518303050.10%1440300847.87%627134746.55%1996140819575901002497
2024824033010713092694041171800060148134144123150101116113526973095558642311310187142809923924941522882873710173240610124.88%3135781.79%61469293050.14%1544301051.30%701138450.65%2043143018975871019524
Total Saison régulière16476700221135835473682363700081279263168240330223230428420183583105616393622817316922577518751966188698579817371584369777517021.94%68012681.47%132987596050.12%2984601849.58%1328273148.63%403928383855117820221022
Séries éliminatoires
2022404000001423-920200000710-320200000713-60142640006530140503753015537509621314.29%21766.67%16514843.92%7014149.65%367647.37%966896274622
202419910000006973-4945000003034-410550000039390186913120010252717073325322423917799246191491801721.25%871286.21%135476146.52%34176544.58%13530344.55%441308492139230111
Total Séries éliminatoires23914000008396-131147000003744-71257000004652-61883157240103132200873303261292179542832415871012019.80%1081982.41%241990946.09%41190645.36%17137945.12%538377588167277134

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
1Brandt Clarke1951318-16246044618.20%3745924.161563500002040.59%00.7800
2Owen Sillinger166713-5829454912.24%331019.40022700000044.91%00.8400
3Sasha Pastujov195510-1203832608.33%135818.87000000001047.18%00.5600
4Cole Schwindt4437441592714.81%17518.971011100000050.00%01.8500
5Adam Sykora19077-12264932170%2837019.48000000000033.33%00.3800

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