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Syracuse Crunch
GP: 11 | W: 2 | L: 8 | OTL: 1 | P: 5
GF: 21 | GA: 35 | PP%: 15.15% | PK%: 83.33%
DG: Alexandre Patry | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #181 vs Springfield Thunderbirds

Centre de jeu
Syracuse Crunch
2-8-1, 5pts
2
4 Texas Stars
8-3-0, 16pts
Team Stats
L2SéquenceW2
1-4-0Fiche domicile5-0-0
1-4-1Fiche domicile3-3-0
2-7-1Derniers 10 matchs7-3-0
1.91Buts par match 3.82
3.18Buts contre par match 2.73
15.15%Pourcentage en avantage numérique19.23%
83.33%Pourcentage en désavantage numérique80.00%
Cleveland Monsters
7-3-0, 14pts
2
1 Syracuse Crunch
2-8-1, 5pts
Team Stats
W2SéquenceL2
4-2-0Fiche domicile1-4-0
3-1-0Fiche domicile1-4-1
7-3-0Derniers 10 matchs2-7-1
3.70Buts par match 1.91
3.60Buts contre par match 3.18
17.86%Pourcentage en avantage numérique15.15%
71.43%Pourcentage en désavantage numérique83.33%
Springfield Thunderbirds
4-7-0, 8pts
Jour 16
Syracuse Crunch
2-8-1, 5pts
Statistiques d’équipe
W1SéquenceL2
2-3-0Fiche domicile1-4-0
2-4-0Fiche visiteur1-4-1
4-6-010 derniers matchs2-7-1
3.64Buts par match 1.91
3.91Buts contre par match 1.91
28.00%Pourcentage en avantage numérique15.15%
89.47%Pourcentage en désavantage numérique83.33%
Syracuse Crunch
2-8-1, 5pts
Jour 18
Belleville Senators
7-4-0, 14pts
Statistiques d’équipe
L2SéquenceL3
1-4-0Fiche domicile2-4-0
1-4-1Fiche visiteur5-0-0
2-7-110 derniers matchs6-4-0
1.91Buts par match 3.45
3.18Buts contre par match 3.45
15.15%Pourcentage en avantage numérique39.29%
83.33%Pourcentage en désavantage numérique79.31%
Belleville Senators
7-4-0, 14pts
Jour 19
Syracuse Crunch
2-8-1, 5pts
Statistiques d’équipe
L3SéquenceL2
2-4-0Fiche domicile1-4-0
5-0-0Fiche visiteur1-4-1
6-4-010 derniers matchs2-7-1
3.45Buts par match 1.91
3.45Buts contre par match 1.91
39.29%Pourcentage en avantage numérique15.15%
79.31%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Matthew PecaButs
Matthew Peca
5
Jarred TinordiPasses
Jarred Tinordi
8
Matthew PecaPoints
Matthew Peca
10
Ethan GauthierPlus/Moins
Ethan Gauthier
2
Jon GilliesVictoires
Jon Gillies
2
Jon GilliesPourcentage d’arrêts
Jon Gillies
0.884

Statistiques d’équipe
Buts pour
21
1.91 GFG
Tirs pour
280
25.45 Avg
Pourcentage en avantage numérique
15.2%
5 GF
Début de zone offensive
40.6%
Buts contre
35
3.18 GAA
Tirs contre
312
28.36 Avg
Pourcentage en désavantage numérique
83.3%%
5 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralAlexandre Patry
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 250
Espoirs31


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
1Matthew PecaX100.00583691656882836470676663657277304066N0331750,000$
2Nick AbruzzeseX100.006036936669808764716358576066685640630271850,000$
3Brendan FurryX100.00683980597780825855565758566769374061N0281750,000$
4Scott SabourinX100.007552505684726458506055565772742340610341850,000$
5Dylan DukeX100.006833836367726059505260556562635840600231867,500$
6Gabriel SzturcX100.006237915971697058635756555462644340600221870,000$
7Milo RoelensX100.008443735693666754575155585462644440600231870,000$
8Tristan AllardX100.006840805977728055605756585563654440600241860,000$
9Cooper Flinton (R)X100.006941725778717755535158525463654940590231942,500$
10Ethan Gauthier (R)X100.006238945771728156525554585361637640590212893,333$
11Lucas Mercuri (R)X100.007343575682728555595354575264664840590241913,750$
12Reece NewkirkX100.006139795570666754625653575464665440580251750,000$
13Jarred TinordiX100.00898369629881755730685276467475494069N0341750,000$
14Max CrozierX100.006743666384876662306954694965665640660262850,000$
15Declan CarlileX100.0066426862818567613056566649656642406402621,500,000$
16Ian MitchellX100.00603495667286616430615060486769594063N0271750,000$
17Steven SantiniX100.006737955987766158306350564671765840630311775,000$
18Maxim GroshevX100.005036836580786064306250554864656140610242875,000$
Rayé
1Adam FantilliX100.007442898281899079767577717863658940740211750,000$
2Spencer KerstenX100.00553883566771615552535451536567424057N0261750,000$
3Chris HarpurX100.00753981558464655430575056456971364061N0291750,000$
4Dyllan GillX100.007339925682636457305454584561634940610221870,000$
5Ethan SamsonX100.006439775873728557305655544662645140600231850,000$
6Simon LundmarkX100.007036835078876050305050634365666840590251775,000$
MOYENNE D’ÉQUIPE100.00674180607876725947585659536567514062
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
1Jon Gillies100.0077716697767577767577767286404068N0321750,000$
2Brandon Halverson100.00756062967473757473757469845540670301850,000$
Rayé
1Ryan Fanti100.0072736882717072717072716675424065N0261750,000$
MOYENNE D’ÉQUIPE100.0075686592747375747375746982464067
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
1Matthew PecaSyracuse Crunch (SAN)C115510-1002434961910.20%527124.710111280000270044.77%30600000.7400000100
2Jarred TinordiSyracuse Crunch (SAN)D11088-22603814154140%1125423.110441031000215000%000000.6300000010
3Max CrozierSyracuse Crunch (SAN)D11347-20015131781017.65%1726624.263141131000027000%000000.5200000000
4Nick AbruzzeseSyracuse Crunch (SAN)LW11246-100520314276.45%324822.630116280001300146.15%1300000.4800000001
5Brendan FurrySyracuse Crunch (SAN)LW1141516024113082013.33%122720.721016280001170053.85%2600010.4400000100
6Gabriel SzturcSyracuse Crunch (SAN)C112351206242611187.69%221219.29011528000041047.81%25100000.4700000001
7Declan CarlileSyracuse Crunch (SAN)D110441403421213110%1123521.410111026000023000%000000.3400000010
8Scott SabourinSyracuse Crunch (SAN)RW11224-1604515841825.00%322820.740000280000121053.85%2600000.3500000001
9Steven SantiniSyracuse Crunch (SAN)D1103312012714550%1723321.23000726000021000%000000.2600000000
10Ethan GauthierSyracuse Crunch (SAN)RW11123200710137207.69%320818.99112128000000047.06%1700000.2900000000
11Dylan DukeSyracuse Crunch (SAN)LW11112-1400312187105.56%015514.1500010000090058.82%1700000.2600000000
12Tristan AllardSyracuse Crunch (SAN)C11112-1400112213187.69%217616.0500000000000053.57%5600000.2300000000
13Ian MitchellSyracuse Crunch (SAN)D11011-13409118220%1516214.780000000002000%000000.1200000000
14Maxim GroshevSyracuse Crunch (SAN)D11000-124010157310%517015.4600000000011000%00000000000000
15Milo RoelensSyracuse Crunch (SAN)C11000-144021986120%214513.2200000000000050.36%1370000000000000
16Reece NewkirkSyracuse Crunch (SAN)C11000000001010%040.400001000000000%10000000000000
17Cooper FlintonSyracuse Crunch (SAN)LW11000020900020%0353.2100000000000025.00%40000000000000
18Lucas MercuriSyracuse Crunch (SAN)C11000000301110%0111.0600011000000050.00%40000000000000
Statistiques d’équipe totales ou en moyenne198213960-68600254247280801997.50%97324916.41510156029100042032147.90%85800010.3700000223
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
1Jon GilliesSyracuse Crunch (SAN)112810.8843.28622403429400100110010
2Brandon HalversonSyracuse Crunch (SAN)20001.0000372001700000011000
Statistiques d’équipe totales ou en moyenne132810.8913.09660603431100101111010


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 Plafond 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 FantilliSyracuse Crunch (SAN)C212004-10-12CANNo205 Lbs6 ft2NoNoTrade2026-07-15NoNo12026-08-17FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Brandon HalversonSyracuse Crunch (SAN)G301996-03-29USANo235 Lbs6 ft5NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Brendan FurrySyracuse Crunch (SAN)LW281998-07-08USANo198 Lbs6 ft1YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Chris HarpurSyracuse Crunch (SAN)D291996-09-13CANNo201 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Cooper FlintonSyracuse Crunch (SAN)LW232003-08-16USAYes202 Lbs6 ft1NoNoDraftNoNo12026-05-25FalseFalsePro & Farm942,500$0$0$No---------------------------Lien / Lien NHL
Declan CarlileSyracuse Crunch (SAN)D262000-05-18USANo190 Lbs6 ft3NoNoAssign ManuallyNoNo22026-07-01FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Dylan DukeSyracuse Crunch (SAN)LW232003-03-04USANo184 Lbs5 ft10NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm867,500$0$0$No---------------------------Lien / Lien NHL
Dyllan GillSyracuse Crunch (SAN)D222004-06-07CANNo194 Lbs6 ft3NoNoAssign ManuallyNoNo12026-04-19FalseFalsePro & Farm870,000$0$0$No---------------------------Lien / Lien NHL
Ethan GauthierSyracuse Crunch (SAN)RW212005-01-26CANYes182 Lbs6 ft0NoNoDraftNoNo22026-05-25FalseFalsePro & Farm893,333$0$0$No893,333$--------893,333$--------No--------Lien / Lien NHL
Ethan SamsonSyracuse Crunch (SAN)D232003-08-23CANNo180 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Gabriel SzturcSyracuse Crunch (SAN)C222003-09-24CZENo194 Lbs5 ft11NoNoAssign ManuallyNoNo12026-04-19FalseFalsePro & Farm870,000$0$0$No---------------------------Lien / Lien NHL
Ian MitchellSyracuse Crunch (SAN)D271999-01-18CANNo192 Lbs6 ft0YesNoAssign ManuallyNoNo12026-07-07FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Jarred TinordiSyracuse Crunch (SAN)D341992-02-20USANo229 Lbs6 ft6YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Jon GilliesSyracuse Crunch (SAN)G321994-01-22USANo223 Lbs6 ft6YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Lucas MercuriSyracuse Crunch (SAN)C242002-03-07CANYes191 Lbs6 ft3NoNoDraftNoNo12026-05-25FalseFalsePro & Farm913,750$0$0$No---------------------------Lien / Lien NHL
Matthew PecaSyracuse Crunch (SAN)C331993-04-27CANNo181 Lbs5 ft10YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Max CrozierSyracuse Crunch (SAN)D262000-04-19CANNo204 Lbs6 ft3NoNoDraftNoNo22026-07-02FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Maxim GroshevSyracuse Crunch (SAN)D242001-12-14RUSNo196 Lbs6 ft2NoNoAssign ManuallyNoNo22026-05-19FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Milo RoelensSyracuse Crunch (SAN)C232003-01-16CANNo205 Lbs6 ft6NoNoAssign ManuallyNoNo12026-04-19FalseFalsePro & Farm870,000$0$0$No---------------------------Lien / Lien NHL
Nick AbruzzeseSyracuse Crunch (SAN)LW271999-06-04USANo183 Lbs5 ft11NoNoAssign ManuallyNoNo12026-05-19FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Reece NewkirkSyracuse Crunch (SAN)C252001-02-20CANNo178 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-10FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Ryan FantiSyracuse Crunch (SAN)G261999-10-03CANNo194 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Scott SabourinSyracuse Crunch (SAN)RW341992-07-30CANNo205 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-24FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Simon LundmarkSyracuse Crunch (SAN)D252000-10-08SWENo190 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Spencer KerstenSyracuse Crunch (SAN)RW262000-05-16CANNo185 Lbs5 ft10YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Steven SantiniSyracuse Crunch (SAN)D311995-03-07USANo217 Lbs6 ft3NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Tristan AllardSyracuse Crunch (SAN)C242002-06-23CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo12026-04-19FalseFalsePro & Farm860,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.26198 Lbs6 ft21.15843,040$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick AbruzzeseMatthew PecaScott Sabourin40122
2Brendan FurryGabriel SzturcEthan Gauthier30122
3Dylan DukeMilo RoelensTristan Allard20122
4Cooper FlintonTristan AllardMatthew Peca10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiMax Crozier40122
2Declan CarlileSteven Santini30122
3Ian MitchellMaxim Groshev20122
4Jarred TinordiMax Crozier10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick AbruzzeseMatthew PecaScott Sabourin60122
2Brendan FurryGabriel SzturcEthan Gauthier40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiMax Crozier60122
2Declan CarlileSteven Santini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PecaNick Abruzzese60122
2Brendan FurryScott Sabourin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiMax Crozier60122
2Declan CarlileSteven Santini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Peca60122Jarred TinordiMax Crozier60122
2Nick Abruzzese40122Declan CarlileSteven Santini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PecaNick Abruzzese60122
2Brendan FurryScott Sabourin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiMax Crozier60122
2Declan CarlileSteven Santini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick AbruzzeseMatthew PecaScott SabourinJarred TinordiMax Crozier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick AbruzzeseMatthew PecaScott SabourinJarred TinordiMax Crozier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Mercuri, Reece Newkirk, Dylan DukeLucas Mercuri, Reece NewkirkDylan Duke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ian Mitchell, Maxim Groshev, Declan CarlileIan MitchellMaxim Groshev, Declan Carlile
Tirs de pénalité
Matthew Peca, Nick Abruzzese, Brendan Furry, Scott Sabourin, Dylan Duke
Gardien
#1 : Jon Gillies, #2 : Brandon Halverson


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
1Cleveland Monsters211000007431010000012-11100000062420.5007132000876047958996048241634100.00%7185.71%017534850.29%16634747.84%7016342.94%2581762607914371
2Hamilton Hammers1010000034-11010000034-10000000000000.00035800876037958996023100235120.00%000%017534850.29%16634747.84%7016342.94%2581762607914371
3Laval Rocket11000000312110000003120000000000021.0003580087602395899602012624300.00%30100.00%017534850.29%16634747.84%7016342.94%2581762607914371
4Rochester Americans2010010038-51010000026-41000010012-110.250369008760399589960751216398112.50%7271.43%017534850.29%16634747.84%7016342.94%2581762607914371
5Texas Stars1010000024-2000000000001010000024-200.0002460087602295899602984283133.33%20100.00%017534850.29%16634747.84%7016342.94%2581762607914371
6Toronto Marlies1010000004-4000000000001010000004-400.000000008760299589960315827100.00%40100.00%017534850.29%16634747.84%7016342.94%2581762607914371
7Utica Comets30300000310-71010000024-22020000016-500.0003691087608395899608626167912216.67%7271.43%017534850.29%16634747.84%7016342.94%2581762607914371
Total1128001002135-14514000001117-6614001001018-850.2272139601087602809589960312976625433515.15%30583.33%017534850.29%16634747.84%7016342.94%2581762607914371
_Since Last GM Reset1128001002135-14514000001117-6614001001018-850.2272139601087602809589960312976625433515.15%30583.33%017534850.29%16634747.84%7016342.94%2581762607914371
_Vs Conference1027001001931-12514000001117-651300100814-650.2501935541087602589589960283896222630413.33%28582.14%017534850.29%16634747.84%7016342.94%2581762607914371
_Vs Division32600100312-91130000026-42130010016-550.8333690087606895899601061724669111.11%11281.82%017534850.29%16634747.84%7016342.94%2581762607914371

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
115L2213960280312976625410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
112801002135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51400001117
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61401001018
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33515.15%30583.33%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
95899608760
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
17534850.29%16634747.84%7016342.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2581762607914371


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
13Syracuse Crunch0Utica Comets2LSommaire du match
218Syracuse Crunch0Toronto Marlies4LSommaire du match
330Laval Rocket1Syracuse Crunch3WSommaire du match
559Utica Comets4Syracuse Crunch2LSommaire du match
670Hamilton Hammers4Syracuse Crunch3LSommaire du match
887Syracuse Crunch1Utica Comets4LSommaire du match
9103Rochester Americans6Syracuse Crunch2LSommaire du match
11121Syracuse Crunch1Rochester Americans2LXSommaire du match
12133Syracuse Crunch6Cleveland Monsters2WSommaire du match
13151Syracuse Crunch2Texas Stars4LSommaire du match
14156Cleveland Monsters2Syracuse Crunch1LSommaire du match
16181Springfield Thunderbirds-Syracuse Crunch-
18200Syracuse Crunch-Belleville Senators-
19212Belleville Senators-Syracuse Crunch-
22237Laval Rocket-Syracuse Crunch-
24252Syracuse Crunch-Laval Rocket-
26270Toronto Marlies-Syracuse Crunch-
27282Syracuse Crunch-Laval Rocket-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,276,208$ 2,276,208$ 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$ 14 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

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