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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 : 61
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 60
Espoirs20


Historique d'équipe

Saison actuelle0-0
Historique41-37-3 (0.506%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)0-4
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
1Lukas Reichel (R)X100.00624580666272596655736965575556050670213975,000$
2Nathan WalkerX100.00727088667860725878725969545858050650292900,000$
3Nils HoglanderXX100.00605373656563646054646063585855050620221925,000$
4Connor ZaryX100.00555863636168666470616262605553050620222975,000$
5Cole ReinhardtX100.00565561616767666055585860545754050600231725,000$
6Kyle MacLeanX100.00565762596367665870575860545955050590241625,000$
7Pierrick Dube (R)X100.00555866615662615955576062575553050590222625,000$
8Alexander Kisakov (R)X100.00555566565263625555545659605452050560203925,000$
9Rory KerinsX100.00545468545755555470545461545452050550211725,000$
10David Goyette (R)X100.00545468545854545455545460545050050550193925,000$
11Adam Sykora (R)X100.00545468545754545455545460545050050550193925,000$
12Yegor ZamulaX100.00574076565975565140635481545458050620232775,000$
13Brandt Clarke (R)X100.00604569656765565440685467545355050610203975,000$
14John LudvigX100.00565563576864635740575564545754050590231700,000$
15Lukas Cormier (R)X100.00555765615866646040595858545452050590213925,000$
Rayé
1Jonatan BerggrenXX100.00684185687966706354726768545657050680231925,000$
2Riley StillmanX100.00707484677770755840725880545958050680252975,000$
3Declan ChisholmX100.00555566596365636140615658545754050590231700,000$
4Sam MalinskiX100.00545468556155555540545561546156050570252700,000$
5Max Wanner (R)X100.00505050505050505035505050502525050490203350,000$
MOYENNE D’ÉQUIPE100.0058546960636362585261586355545305060
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
1Cayden Primeau100.0062656571676266675860625854050640242750,000$
Rayé
1Alex Stalock100.0075717269838284728373746457050770362950,000$
2Lukas Dostal100.0059646571707072686565695653050670231875,000$
3Remi Poirier100.0057585967665467585757675451050600222675,000$
MOYENNE D’ÉQUIPE100.006365657072677266666468585405067
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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Lien
Adam SykoraSyracuse Crunch (TB )C192004-09-07Yes172 Lbs5 ft10NoNoNoNo3Pro & Farm925,000$99,107$0$0$No925,000$925,000$
Alex StalockSyracuse Crunch (TB )G361987-07-28No170 Lbs5 ft11NoNoNoNo2Pro & Farm950,000$101,786$0$0$No950,000$Lien
Alexander KisakovSyracuse Crunch (TB )RW202002-11-01Yes150 Lbs5 ft10NoNoNoNo3Pro & Farm925,000$99,107$0$0$No925,000$925,000$
Brandt ClarkeSyracuse Crunch (TB )D202003-02-09Yes185 Lbs6 ft2NoNoNoNo3Pro & Farm975,000$104,464$0$0$No975,000$975,000$
Cayden PrimeauSyracuse Crunch (TB )G241999-08-11No199 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$80,357$0$0$No750,000$Lien
Cole ReinhardtSyracuse Crunch (TB )C232000-02-01No207 Lbs6 ft1NoNoNoNo1Pro & Farm725,000$77,679$0$0$NoLien
Connor ZarySyracuse Crunch (TB )C222001-09-25No185 Lbs6 ft0NoNoNoNo2Pro & Farm975,000$104,464$0$0$No975,000$Lien
David GoyetteSyracuse Crunch (TB )C192004-03-27Yes174 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$99,107$0$0$No925,000$925,000$
Declan ChisholmSyracuse Crunch (TB )D232000-01-12No190 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$75,000$0$0$NoLien
John LudvigSyracuse Crunch (TB )D232000-08-02No214 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$75,000$0$0$NoLien
Jonatan BerggrenSyracuse Crunch (TB )C/LW232000-07-16No197 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$99,107$0$0$NoLien
Kyle MacLeanSyracuse Crunch (TB )C241999-04-29No190 Lbs6 ft1NoNoNoNo1Pro & Farm625,000$66,964$0$0$NoLien
Lukas CormierSyracuse Crunch (TB )D212002-03-27Yes176 Lbs5 ft10NoNoNoNo3Pro & Farm925,000$99,107$0$0$No925,000$925,000$
Lukas DostalSyracuse Crunch (TB )G232000-06-22No174 Lbs6 ft2NoNoNoNo1Pro & Farm875,000$93,750$0$0$NoLien
Lukas ReichelSyracuse Crunch (TB )C212002-05-17Yes170 Lbs6 ft0NoNoNoNo3Pro & Farm975,000$104,464$0$0$No975,000$975,000$
Max WannerSyracuse Crunch (TB )D202003-03-12 11:10:54 AMYes185 Lbs6 ft5NoNoNoNo3Pro & Farm350,000$37,500$0$0$No350,000$350,000$
Nathan WalkerSyracuse Crunch (TB )C291994-02-07No187 Lbs5 ft9NoNoNoNo2Pro & Farm900,000$96,429$0$0$No900,000$Lien
Nils HoglanderSyracuse Crunch (TB )LW/RW222000-12-20No185 Lbs5 ft9NoNoNoNo1Pro & Farm925,000$99,107$0$0$NoLien
Pierrick DubeSyracuse Crunch (TB )RW222001-01-07Yes172 Lbs5 ft9NoNoNoNo2Pro & Farm625,000$66,964$0$0$No625,000$
Remi PoirierSyracuse Crunch (TB )G222001-10-06No201 Lbs6 ft2NoNoNoNo2Pro & Farm675,000$72,321$0$0$No675,000$Lien
Riley StillmanSyracuse Crunch (TB )D251998-03-09No196 Lbs6 ft1NoNoNoNo2Pro & Farm975,000$104,464$0$0$No975,000$Lien
Rory KerinsSyracuse Crunch (TB )LW212002-04-23No174 Lbs5 ft10NoNoNoNo1Pro & Farm725,000$77,679$0$0$NoLien
Sam MalinskiSyracuse Crunch (TB )D251998-07-27No190 Lbs5 ft11NoNoNoNo2Pro & Farm700,000$75,000$0$0$No700,000$Lien
Yegor ZamulaSyracuse Crunch (TB )D232000-03-30No177 Lbs6 ft3NoNoNoNo2Pro & Farm775,000$83,036$0$0$No775,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2422.92184 Lbs6 ft01.96813,542$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils Hoglander35122
2Rory KerinsPierrick Dube30122
3Connor ZaryAlexander Kisakov25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
2Yegor ZamulaBrandt Clarke30122
3John Ludvig25122
4Lukas Cormier10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils Hoglander60122
2Rory KerinsPierrick Dube40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Yegor ZamulaBrandt Clarke40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Connor Zary40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Yegor ZamulaBrandt Clarke40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Yegor ZamulaBrandt Clarke40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Connor Zary40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Yegor ZamulaBrandt Clarke40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils Hoglander
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils Hoglander
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Alexander Kisakov, Alexander Kisakov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, John Ludvig, Lukas CormierJohn Ludvig, Lukas Cormier
Tirs de pénalité
, , , Connor Zary, Nils Hoglander
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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,952,500$ 1,925,000$ 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$ 3 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
1Nils Hoglander58262955-4371221162779.39%12109318.85616227600014451.72%11.0112
2Pierrick Dube58172845102779791839.29%289815.5077144000003352.00%01.0000
3Connor Zary8222153711667515317212.79%107969.711121100004058.51%00.9325
4Rory Kerins581517321018594312312.20%1189915.5137103200003158.93%00.7100
5Alexander Kisakov58151227-12649559915.15%669612.00000000002047.17%00.7800

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
1Lukas Dostal36181620.9033.2921730111912310010.8336
2Cayden Primeau61410.9003.7337060232300000.3336

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
Total Saison régulière82363701242274278-441191900021131129241171801221143149-68627450177513115728282966952104294546291686487419653696918.70%3676981.20%71518303050.10%1440300847.87%627134746.55%1996140819575901002497
Séries éliminatoires
2022404000001423-920200000710-320200000713-60142640006530140503753015537509621314.29%21766.67%16514843.92%7014149.65%367647.37%966896274622
Total Séries éliminatoires404000001423-920200000710-320200000713-60142640006530140503753015537509621314.29%21766.67%16514843.92%7014149.65%367647.37%966896274622

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
1Cole Schwindt4437441592714.81%17518.971011100000050.00%01.8500
2Jesper Boqvist4112-80720128.33%38822.25000200010046.71%00.4500
3Nils Hoglander4112-84104812.50%08621.60000000020045.45%00.4600
4Jonatan Berggren4112-22511119.09%15213.11000000000044.83%00.7600
5Joey Anderson4011-429980%27518.93000401100040.00%00.2600

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