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Connexion

Syracuse Crunch
GP: 84 | W: 46 | L: 30 | OTL: 8 | P: 100
GF: 380 | GA: 307 | PP%: 31.63% | PK%: 75.00%
DG: Fred Raymond | Morale : 60 | Moyenne d’équipe : 65

Centre de jeu
Providence Bruins
3-79-2, 8pts
2
FINAL
9 Syracuse Crunch
46-30-8, 100pts
Team Stats
L26SéquenceOTL1
3-38-1Fiche domicile27-11-4
0-41-1Fiche domicile19-19-4
0-10-0Derniers 10 matchs4-5-1
3.30Buts par match 4.52
9.98Buts contre par match 3.65
25.37%Pourcentage en avantage numérique31.63%
58.69%Pourcentage en désavantage numérique75.00%
Syracuse Crunch
46-30-8, 100pts
2
FINAL
3 Utica Comets
26-54-4, 56pts
Team Stats
OTL1SéquenceOTW1
27-11-4Fiche domicile14-27-1
19-19-4Fiche domicile12-27-3
4-5-1Derniers 10 matchs7-1-2
4.52Buts par match 3.04
3.65Buts contre par match 6.56
31.63%Pourcentage en avantage numérique9.50%
75.00%Pourcentage en désavantage numérique68.02%
Meneurs d'équipe
Buts
Fraser Minten
58
Andreas EnglundPasses
Andreas Englund
80
Andreas EnglundPoints
Andreas Englund
126
Plus/Moins
Fraser Minten
45
Victoires
Nikita Tolopilo
46
Pourcentage d’arrêts
Nikita Tolopilo
0.908

Statistiques d’équipe
Buts pour
380
4.52 GFG
Tirs pour
2956
35.19 Avg
Pourcentage en avantage numérique
31.6%
62 GF
Début de zone offensive
35.5%
Buts contre
307
3.65 GAA
Tirs contre
3088
36.76 Avg
Pourcentage en désavantage numérique
75.0%%
52 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralFred Raymond
EntraîneurGuy Boucher
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs42


Historique d'équipe

Saison actuelle46-30-8 (100PTS)
Historique0-0-0


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
1Fraser Minten (R)X100.00846092727778786685667076807171078700202816,667$
2Cole KoepkeXX100.008962947276838365656668707878780786902731,000,000$
3Justin DowlingX100.00696094737175756681647168818686078680341775,000$
4Calum Ritchie (R)X100.00656092747676766782667069807171078680202918,333$
5Zack Ostapchuk (R)X100.00837092678080806182636570757373078670222825,000$
6Sandis Vilmanis (R)X100.00756090717168686685657067807070080660212855,000$
7Nic PetanXX100.006460947269616163706665667582820786503011$
8Isaac RatcliffeX100.006060926678606060656265657574740786302611$
9Andreas EnglundX100.00889592717884846765686675769191078710291775,000$
10Wyatt Kaiser (R)X100.007060917372818169657167817784840247102221,700,000$
11Grant HuttonX100.00746093718264646765696573759090071690292775,000$
12Dennis CholowskiX100.00616093727871716865696770778989071680272775,000$
13Colton WhiteX100.00616095707562626565666569758989078660281775,000$
14Frederic AllardX100.006060857067606065656565687574740786402711$
15Reilly WalshX100.006060857067606065656565687573730786402611$
16Dominik Badinka (R)X100.00606060606060606060606060606060023580193837,700$
17Zack HayesX100.006060606060606060606060606060600605802611$
Rayé
1Jonne TammelaXX100.006060606060606060606060606060600205802721$
2Alexei LipanovX100.006060606060606060606060606060600205802511$
3Luke HenmanX100.006060606060606060606060606060600625802511$
4Marc MichaelisXX100.006060606060606060606060606060600205802911$
5Matej PekarXX100.006060606060606060606060606060600205802511$
6Jett Woo (R)X100.00606060606060606060606060606060042580241775,000$
MOYENNE D’ÉQUIPE100.0067628167696767636764656771737306064
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
1Nikita Tolopilo100.0080808084808282828282808181080830251775,000$
Rayé
MOYENNE D’ÉQUIPE100.008080808480828282828280818108083
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher70707070707070CAN541500,000$


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
1Andreas EnglundSyracuse Crunch (TBL)D8446801261932218026117732814915214.02%221237728.31911205913912371395062.79%43119136121.06028919785
2Cole KoepkeSyracuse Crunch (TBL)LW/RW845169120-57521711635812225314.25%55153818.3217324911722321331285552.19%22818652021.5612001625
3Fraser MintenSyracuse Crunch (TBL)C8458561144514025416934610622716.76%74187722.3545925800119577155.16%75616069061.21000001048
4Justin DowlingSyracuse Crunch (TBL)C845545100231401071052728917820.22%45145317.31114153788123121257257.74%98214742061.3812000662
5Colton WhiteSyracuse Crunch (TBL)D8429568515140621402351009112.34%151224326.70514195715211251526055.56%986102000.7602000232
6Zack OstapchukSyracuse Crunch (TBL)C842253752749251901292108115610.48%50161819.2700000000001059.68%11168852010.9313005242
7Frederic AllardSyracuse Crunch (TBL)D84235174334401071452089111111.06%172220026.208122049161000111592280.00%570119000.6700000006
8Nic PetanSyracuse Crunch (TBL)C/LW8415486320808177160641019.38%26138516.49088980000002150.75%679728000.9111000121
9Reilly WalshSyracuse Crunch (TBL)D8423386137320101127208738711.06%140198723.6681119691560006163200%059107000.6100000230
10Calum RitchieSyracuse Crunch (TBL)C842140611928011185223881709.42%33152118.1100000000172159.31%14510435010.8001000162
11Isaac RatcliffeSyracuse Crunch (TBL)LW841733501514062571586811810.76%19135516.1300000000004156.90%586717010.7400000222
12Sandis VilmanisSyracuse Crunch (TBL)LW8414354934112101458115076959.33%71194223.1300000000001151.16%434851000.5000101123
13Luke HenmanSyracuse Crunch (TBL)C70417211364095416118486.56%20109015.5900016000001046.13%6591425000.3800000000
Statistiques d’équipe totales ou en moyenne10783786219992957222201793144929171125178712.96%10772259320.9662971594231088571254936451455.56%411112458351190.884139926404238
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
1Nikita TolopiloSyracuse Crunch (TBL)84462880.9083.38498810128130421695810.72711840736
Statistiques d’équipe totales ou en moyenne84462880.9083.384988101281304216958111840736


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
Alexei LipanovSyracuse Crunch (TBL)C251999-08-17RUSNo165 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------
Andreas EnglundSyracuse Crunch (TBL)D291996-01-21SWENo198 Lbs6 ft3NoNoAssign ManuallyYesYes12025-07-03FalseFalseFarm Only775,000$12,173$0$0$No---------------------------Lien NHL
Calum RitchieSyracuse Crunch (TBL)C202005-01-21CANYes185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-03FalseFalsePro & Farm918,333$14,424$0$0$No918,333$--------918,333$--------No--------
Cole KoepkeSyracuse Crunch (TBL)LW/RW271998-05-17USANo195 Lbs6 ft1NoNoAssign ManuallyYesYes32025-07-03FalseFalsePro & Farm1,000,000$15,707$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Colton WhiteSyracuse Crunch (TBL)D281997-05-03CANNo185 Lbs6 ft1NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------Lien NHL
Dennis CholowskiSyracuse Crunch (TBL)D271998-02-15CANNo165 Lbs6 ft1NoNoFree AgentYesYes22025-08-06FalseFalsePro & Farm775,000$12,173$0$0$No775,000$--------775,000$--------No--------Lien NHL
Dominik BadinkaSyracuse Crunch (TBL)D192005-11-27CZEYes183 Lbs6 ft3NoNoTrade2025-08-16NoNo32025-07-20FalseFalsePro & Farm837,700$13,158$0$0$No1$1$-------1$1$-------NoNo-------
Fraser MintenSyracuse Crunch (TBL)C202004-07-05CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-03FalseFalsePro & Farm816,667$12,827$0$0$No816,667$--------816,667$--------No--------
Frederic AllardSyracuse Crunch (TBL)D271997-12-27CANNo179 Lbs6 ft1NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------Lien NHL
Grant HuttonSyracuse Crunch (TBL)D291995-07-25USANo205 Lbs6 ft3NoNoFree AgentYesYes22025-08-06FalseFalsePro & Farm775,000$12,173$0$0$No775,000$--------775,000$--------No--------
Isaac RatcliffeSyracuse Crunch (TBL)LW261999-02-15CANNo194 Lbs6 ft5NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------Lien NHL
Jett WooSyracuse Crunch (TBL)D242000-07-27CANYes205 Lbs6 ft0NoNoProspectYesYes12025-07-25FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------
Jonne TammelaSyracuse Crunch (TBL)LW/RW271997-08-05FINNo180 Lbs5 ft10NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm1$0$0$No1$--------1$--------No--------Lien NHL
Justin DowlingSyracuse Crunch (TBL)C341990-10-01USANo185 Lbs5 ft10NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------Lien NHL
Luke HenmanSyracuse Crunch (TBL)C252000-04-29CANNo168 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------Lien NHL
Marc MichaelisSyracuse Crunch (TBL)C/LW291995-07-31GERNo187 Lbs5 ft11NoNoAssign ManuallyYesYes12025-07-03FalseFalseFarm Only1$0$0$No---------------------------Lien NHL
Matej PekarSyracuse Crunch (TBL)C/RW252000-02-10CZENo170 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------Lien NHL
Nic PetanSyracuse Crunch (TBL)C/LW301995-03-22CANNo179 Lbs5 ft9NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------Lien NHL
Nikita TolopiloSyracuse Crunch (TBL)G252000-04-06BELNo230 Lbs6 ft6NoNoAssign ManuallyNoNo12025-07-09FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------
Reilly WalshSyracuse Crunch (TBL)D261999-04-21USANo181 Lbs5 ft11NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------
Sandis VilmanisSyracuse Crunch (TBL)LW212004-01-23LATYes192 Lbs6 ft1NoNoProspectNoNo22025-07-25FalseFalsePro & Farm855,000$13,429$0$0$No1$--------1$--------No--------
Wyatt KaiserSyracuse Crunch (TBL)D222002-07-31USAYes190 Lbs6 ft0NoNoProspectNoNo22025-11-09FalseFalsePro & Farm1,700,000$26,702$0$0$No1$--------1$--------No--------
Zack HayesSyracuse Crunch (TBL)D261999-04-24CANNo218 Lbs6 ft3NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------
Zack OstapchukSyracuse Crunch (TBL)C222003-05-29CANYes205 Lbs6 ft3NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm825,000$12,958$0$0$No825,000$--------825,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.54189 Lbs6 ft11.50515,738$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Koepke25122
2Nic PetanJustin DowlingFraser Minten25122
3Isaac RatcliffeZack OstapchukCalum Ritchie25122
4Sandis VilmanisFraser Minten25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundColton White25122
2Frederic AllardReilly Walsh25122
325122
4Andreas EnglundColton White25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Koepke50122
2Nic PetanJustin DowlingFraser Minten50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundColton White50122
2Frederic AllardReilly Walsh50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Cole KoepkeJustin Dowling50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundColton White50122
2Frederic AllardReilly Walsh50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Andreas EnglundColton White50122
250122Frederic AllardReilly Walsh50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Cole KoepkeJustin Dowling50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundColton White50122
2Frederic AllardReilly Walsh50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole KoepkeAndreas EnglundColton White
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole KoepkeAndreas EnglundColton White
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Zack Ostapchuk, Calum Ritchie, Zack OstapchukCalum Ritchie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Frederic Allard, Frederic Allard
Tirs de pénalité
, , Cole Koepke, Justin Dowling, Zack Ostapchuk
Gardien
#1 : Nikita Tolopilo, #2 :
Lignes d’attaque personnalisées en prolongation
, , Cole Koepke, Justin Dowling, Zack Ostapchuk, Fraser Minten, Nic Petan, Calum Ritchie, Isaac Ratcliffe,
Lignes de défense personnalisées en prolongation
Andreas Englund, Colton White, Frederic Allard, Reilly Walsh,


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
1Abbotsford Canucks10100000510-510100000510-50000000000000.0005813001561289083711009708732441131025100.00%5340.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
2Bakersfield Condors11000000431110000004310000000000021.0004610001561289083111009708732436122233266.67%110.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
3Belleville Senators732011002020041101100912-332100000118390.64320345400156128908239110097087324258815117117423.53%130100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
4Bridgeport Islanders11000000716110000007160000000000021.000713200015612890843110097087324441412334375.00%110.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
5Calgary Wranglers110000001111011000000111100000000000021.000112233001561289084111009708732429106194250.00%30100.00%1856166751.35%933173253.87%720129355.68%1806112419386621321674
6Charlotte Checkers11000000918110000009180000000000021.00091625001561289082411009708732438156212150.00%3166.67%0856166751.35%933173253.87%720129355.68%1806112419386621321674
7Chicago Wolves20200000519-140000000000020200000519-1400.000510150015612890862110097087324733423484125.00%4175.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
8Cleveland Monsters624000002025-531200000610-4312000001415-140.33320345400156128908202110097087324222783314112325.00%15660.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
9Coachella Valley Firebirds1010000025-3000000000001010000025-300.000246001561289083211009708732435161321200.00%4175.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
10Colorado Eagles1010000013-2000000000001010000013-200.00012300156128908341100970873243811425400.00%20100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
11Grand Rapids Griffins11000000936110000009360000000000021.0009142300156128908421100970873243510623200.00%30100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
12Hartford Wolf Pack4220000016133211000007432110000099040.50016244000156128908132110097087324137483611112216.67%8275.00%1856166751.35%933173253.87%720129355.68%1806112419386621321674
13Henderson Silver Knights1100000011651100000011650000000000021.000111526001561289082911009708732451271524010%6266.67%0856166751.35%933173253.87%720129355.68%1806112419386621321674
14Hershey Bears13730120069482165000100411427723011002834-6180.69269118187111561289084551100970873244481839629926519.23%28485.71%2856166751.35%933173253.87%720129355.68%1806112419386621321674
15Iowa Wild32100000911-22110000058-31100000043140.6679142300156128908931100970873241102948845240.00%9544.44%0856166751.35%933173253.87%720129355.68%1806112419386621321674
16Laval Rocket6220011025232311001001213-1311000101310370.58325446900156128908238110097087324204813713519631.58%11554.55%0856166751.35%933173253.87%720129355.68%1806112419386621321674
17Lehigh Valley Phantoms30200001310-71010000013-22010000127-510.16736900156128908113110097087324112302574400.00%10190.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
18Manitoba Moose1010000025-3000000000001010000025-300.00024600156128908311100970873243815413100.00%20100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
19Milwaukee Admirals10100000210-810100000210-80000000000000.000235001561289083211009708732437137353133.33%110.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
20Ontario Reign11000000211110000002110000000000021.000246001561289083511009708732437130232150.00%000%0856166751.35%933173253.87%720129355.68%1806112419386621321674
21Providence Bruins11000000927110000009270000000000021.000915240015612890837110097087324379417000%2150.00%1856166751.35%933173253.87%720129355.68%1806112419386621321674
22Rochester Americans6410100024141033000000165113110100089-1100.83324406400156128908221110097087324225796713915426.67%150100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
23Rockford IceHogs1000010056-1000000000001000010056-110.50059140015612890844110097087324431512256350.00%6433.33%0856166751.35%933173253.87%720129355.68%1806112419386621321674
24San Diego Gulls110000001111000000000000110000001111021.000111829001561289083211009708732442126152150.00%30100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
25San Jose Barracuda20200000715-80000000000020200000715-800.000712190015612890882110097087324763427498225.00%7271.43%0856166751.35%933173253.87%720129355.68%1806112419386621321674
26Springfield Thunderbirds10001000321000000000001000100032121.00036900156128908331100970873243815623000%3166.67%0856166751.35%933173253.87%720129355.68%1806112419386621321674
27Texas Stars1100000012480000000000011000000124821.00012203200156128908351100970873244013181611100.00%40100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
28Toronto Marlies742010003424103210000013854210100021165100.71434619500156128908265110097087324294114103142231252.17%19857.89%0856166751.35%933173253.87%720129355.68%1806112419386621321674
29Tucson Roadrunners1000010023-11000010023-10000000000010.5002240015612890838110097087324389226100.00%10100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
30Utica Comets641001004015253300000021516311001001910990.750406510500156128908193110097087324194675613911545.45%18288.89%1856166751.35%933173253.87%720129355.68%1806112419386621321674
31Wilkes-Barre/Scranton Penguins1010000013-21010000013-20000000000000.00011200156128908311100970873243891716200.00%10100.00%0856166751.35%933173253.87%720129355.68%1806112419386621321674
Total8440300571138030773422611014002031267742141904311177181-41000.59538064410241115612890829561100970873243088110975219551966231.63%2085275.00%6856166751.35%933173253.87%720129355.68%1806112419386621321674
_Since Last GM Reset8440300571138030773422611014002031267742141904311177181-41000.59538064410241115612890829561100970873243088110975219551966231.63%2085275.00%6856166751.35%933173253.87%720129355.68%1806112419386621321674
_Vs Conference633120055112802017932208013001528171311112042111281208800.635280477757111561289082226110097087324228982354914611474530.61%1473278.23%5856166751.35%933173253.87%720129355.68%1806112419386621321674
_Vs Division361912033101611342717115012008440441987021107794-17490.6811612714321115612890812311100970873241268463298861751925.33%851780.00%4856166751.35%933173253.87%720129355.68%1806112419386621321674

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
84100OTL13806441024295630881109752195511
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8440305711380307
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4226111400203126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4214194311177181
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1966231.63%2085275.00%6
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
110097087324156128908
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
856166751.35%933173253.87%720129355.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1806112419386621321674


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
15Hershey Bears0Syracuse Crunch11WSommaire du match
322Syracuse Crunch3Hershey Bears2WXSommaire du match
638Hershey Bears4Syracuse Crunch11WSommaire du match
860Syracuse Crunch6Hershey Bears3WSommaire du match
1076Belleville Senators1Syracuse Crunch2WXSommaire du match
1292Syracuse Crunch2Hershey Bears12LSommaire du match
14108Hershey Bears2Syracuse Crunch6WSommaire du match
16122Syracuse Crunch2Hershey Bears3LSommaire du match
18135Utica Comets3Syracuse Crunch6WSommaire du match
19139Syracuse Crunch5Toronto Marlies8LSommaire du match
22161Syracuse Crunch14Utica Comets3WSommaire du match
24176Cleveland Monsters4Syracuse Crunch2LSommaire du match
28206Laval Rocket5Syracuse Crunch4LXSommaire du match
30218Syracuse Crunch5Belleville Senators3WSommaire du match
32234Syracuse Crunch4Cleveland Monsters5LSommaire du match
34242Toronto Marlies5Syracuse Crunch3LSommaire du match
37261Syracuse Crunch1Rochester Americans4LSommaire du match
38273Syracuse Crunch6Toronto Marlies1WSommaire du match
40285Utica Comets1Syracuse Crunch11WSommaire du match
43306Laval Rocket5Syracuse Crunch3LSommaire du match
46329Syracuse Crunch7Cleveland Monsters4WSommaire du match
48338Syracuse Crunch2Hershey Bears3LXSommaire du match
49348Hartford Wolf Pack1Syracuse Crunch6WSommaire du match
52367Syracuse Crunch11Hershey Bears7WSommaire du match
53378Cleveland Monsters5Syracuse Crunch2LSommaire du match
56399Toronto Marlies2Syracuse Crunch6WSommaire du match
58411Syracuse Crunch5Laval Rocket2WSommaire du match
60429Syracuse Crunch2San Jose Barracuda6LSommaire du match
62443Syracuse Crunch5Laval Rocket4WXXSommaire du match
63449Iowa Wild1Syracuse Crunch4WSommaire du match
66472Belleville Senators1Syracuse Crunch2WSommaire du match
67480Syracuse Crunch3Belleville Senators1WSommaire du match
70506Belleville Senators5Syracuse Crunch1LSommaire du match
72518Syracuse Crunch2Coachella Valley Firebirds5LSommaire du match
74538Rochester Americans1Syracuse Crunch5WSommaire du match
79566Hershey Bears3Syracuse Crunch2LXSommaire du match
82585Syracuse Crunch12Texas Stars4WSommaire du match
84599Laval Rocket3Syracuse Crunch5WSommaire du match
86614Syracuse Crunch1Colorado Eagles3LSommaire du match
88626Cleveland Monsters1Syracuse Crunch2WSommaire du match
90641Syracuse Crunch6Toronto Marlies5WXSommaire du match
92658Hershey Bears3Syracuse Crunch8WSommaire du match
94678Syracuse Crunch4Rochester Americans3WSommaire du match
96689Calgary Wranglers1Syracuse Crunch11WSommaire du match
99711Syracuse Crunch11San Diego Gulls1WSommaire du match
100720Syracuse Crunch2Manitoba Moose5LSommaire du match
101730Belleville Senators5Syracuse Crunch4LXSommaire du match
104753Syracuse Crunch4Hartford Wolf Pack3WSommaire du match
106761Charlotte Checkers1Syracuse Crunch9WSommaire du match
109782Syracuse Crunch3Rochester Americans2WXSommaire du match
111791Hartford Wolf Pack3Syracuse Crunch1LSommaire du match
114818Hershey Bears2Syracuse Crunch3WSommaire du match
117841Syracuse Crunch3Cleveland Monsters6LSommaire du match
118854Bridgeport Islanders1Syracuse Crunch7WSommaire du match
121876Abbotsford Canucks10Syracuse Crunch5LSommaire du match
125904Iowa Wild7Syracuse Crunch1LSommaire du match
127918Syracuse Crunch3Belleville Senators4LSommaire du match
130935Utica Comets1Syracuse Crunch4WSommaire du match
132952Syracuse Crunch5Rockford IceHogs6LXSommaire du match
134966Henderson Silver Knights6Syracuse Crunch11WSommaire du match
136980Syracuse Crunch5San Jose Barracuda9LSommaire du match
1391001Toronto Marlies1Syracuse Crunch4WSommaire du match
1401013Syracuse Crunch3Laval Rocket4LSommaire du match
1431032Milwaukee Admirals10Syracuse Crunch2LSommaire du match
1451047Syracuse Crunch1Lehigh Valley Phantoms2LXXSommaire du match
1481065Lehigh Valley Phantoms3Syracuse Crunch1LSommaire du match
1501079Syracuse Crunch1Lehigh Valley Phantoms5LSommaire du match
1521097Wilkes-Barre/Scranton Penguins3Syracuse Crunch1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1571126Grand Rapids Griffins3Syracuse Crunch9WSommaire du match
1611158Ontario Reign1Syracuse Crunch2WSommaire du match
1621166Syracuse Crunch4Toronto Marlies2WSommaire du match
1651187Bakersfield Condors3Syracuse Crunch4WSommaire du match
1661202Syracuse Crunch3Springfield Thunderbirds2WXSommaire du match
1691218Tucson Roadrunners3Syracuse Crunch2LXSommaire du match
1701226Syracuse Crunch3Utica Comets4LSommaire du match
1731251Rochester Americans2Syracuse Crunch6WSommaire du match
1741257Syracuse Crunch2Hershey Bears4LSommaire du match
1751263Syracuse Crunch4Chicago Wolves10LSommaire du match
1771275Syracuse Crunch5Hartford Wolf Pack6LSommaire du match
1791286Rochester Americans2Syracuse Crunch5WSommaire du match
1811298Syracuse Crunch1Chicago Wolves9LSommaire du match
1831311Syracuse Crunch4Iowa Wild3WSommaire du match
1861323Providence Bruins2Syracuse Crunch9WSommaire du match
1871328Syracuse Crunch2Utica Comets3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,680,164$ 1,237,770$ 1,237,770$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,480$ 1,187,980$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 9,098$ 27,294$




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