Connexion

Syracuse Crunch
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Remi Baril | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRemi Baril
DivisionSOUTHEAST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 250
Espoirs55


Historique d'équipe

Saison actuelle0-0
Historique24-34-4 (0.387%)
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
SP
Âge
Contrat
Salaire
1Devin ShoreXX100.007037956579778063816660646272735445003031,999,999$
2Adam ErneXX100.008171866580798463646261736371726250002921,800,000$
3Justin KirklandX100.00703984638078755971615860626870565000281700,000$
4Logan BrownX100.00403540643580904020404040306668115000262750,000$
5Jack Quinn (R)X100.00683890747686797155727361726466863600231925,000$
6Tyler AngleX100.00663686666475806263586559626566485000244867,500$
7Ben McCartney (R)X100.00624363587178765761595655586365495000232830,000$
8Lauri Pajuniemi (R)X100.00403540623580904020404040306466115000251600,000$
9Elmer Soderblom (R)X100.00844192609981796258596463616365495000231842,500$
10Waltteri Merela (R)X100.00743992588578735766585962576668425000264870,000$
11Alex GoligoskiX100.0068338765678775623071546549908026520N03941,999,999$
12Dysin MayoX100.00713972637677835930575566486870485000281700,000$
13Peter DiLiberatoreX100.00553784566472705430575355466466485000241925,000$
14Michael Callahan (R)X100.00713985578064835630555358466567545000254925,000$
15Eemil Viro (R)X100.00603692586763745730555256456264675000221842,500$
16Kim Nousiainen (R)X100.00633689566361765530545152456466585000231842,500$
17Uvis BalinskisX100.00663980647482716330655961506870365000284870,000$
Rayé
1Kodie CurranX100.004035404035809040204040403025251150003411,000,000$
2Michael Krutil (R)X100.00403540403580904020404040302525115000221600,000$
MOYENNE D’ÉQUIPE100.0063397660677780564356545650636444490
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
SP
Âge
Contrat
Salaire
1Dustin Tokarski100.0067997675686162626253747689455000352750,000$
2Yaroslav Askarov (R)100.0066998480676665656655776272855000221925,000$
Rayé
1Braden Holtby100.00409080504040404040404084871150003511,999,999$
2Arvid Holm100.0053957589545354545445706675475000254775,000$
MOYENNE D’ÉQUIPE100.005796797457555555564865728147500
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’équipe
POS
GP
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’équipe
GP
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’équipe
POS
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 restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire année 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Adam ErneSyracuse Crunch (TAM)LW/RW291995-04-20USANo215 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,800,000$771,429$0$0$No1,800,000$--------1,800,000$--------No--------Lien
Alex GoligoskiSyracuse Crunch (TAM)D391985-07-30USANo173 Lbs5 ft11YesNoAssign ManuallyNoNo42024-08-21FalseFalsePro & Farm1,999,999$857,142$0$0$No1,999,999$1,999,999$1,999,999$------600,000$600,000$600,000$------NoNoNo------Lien
Arvid HolmSyracuse Crunch (TAM)G251998-11-03SWENo213 Lbs6 ft4NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$332,143$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Ben McCartneySyracuse Crunch (TAM)LW232001-07-13CANYes182 Lbs6 ft0NoNoN/ANoNo22024-05-19FalseFalsePro & Farm830,000$355,714$0$0$No830,000$--------830,000$--------No--------Lien
Braden HoltbySyracuse Crunch (TAM)G351989-09-16CANNo215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,999,999$857,142$0$0$No---------------------------Lien
Devin ShoreSyracuse Crunch (TAM)C/RW301994-07-19CANNo206 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,999,999$857,142$0$0$No1,999,999$1,999,999$-------600,000$600,000$-------NoNo-------Lien
Dustin TokarskiSyracuse Crunch (TAM)G351989-09-16CANNo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$0$0$No750,000$--------750,000$--------No--------Lien
Dysin MayoSyracuse Crunch (TAM)D281996-08-17CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$300,000$0$0$No---------------------------Lien
Eemil ViroSyracuse Crunch (TAM)D222002-04-03FINYes165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$361,071$0$0$No---------------------------Lien
Elmer SoderblomSyracuse Crunch (TAM)LW232001-07-05SWEYes246 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm842,500$361,071$0$0$No---------------------------Lien
Jack QuinnSyracuse Crunch (TAM)RW232001-09-19CANYes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$0$0$No---------------------------Lien
Justin KirklandSyracuse Crunch (TAM)LW281996-08-02CANNo183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$300,000$0$0$No---------------------------Lien
Kim NousiainenSyracuse Crunch (TAM)D232000-11-14FINYes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm842,500$361,071$0$0$No---------------------------Lien
Kodie CurranSyracuse Crunch (TAM)D341989-12-18CANNo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$428,571$0$0$No---------------------------Lien
Lauri PajuniemiSyracuse Crunch (TAM)RW251999-09-12FINYes196 Lbs6 ft0NoNoAssign ManuallyNoNo12024-08-18FalseFalsePro & Farm600,000$257,143$0$0$No---------------------------Lien
Logan BrownSyracuse Crunch (TAM)C261998-03-05USANo218 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$0$0$No750,000$--------750,000$--------No--------Lien
Michael CallahanSyracuse Crunch (TAM)D251999-09-23USAYes197 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-18FalseFalsePro & Farm925,000$396,429$0$0$No925,000$925,000$925,000$------600,000$600,000$600,000$------NoNoNo------Lien
Michael KrutilSyracuse Crunch (TAM)D222002-06-03CZEYes202 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-18FalseFalsePro & Farm600,000$257,143$0$0$No---------------------------Lien
Peter DiLiberatoreSyracuse Crunch (TAM)D242000-03-31CANNo160 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$0$0$No---------------------------Lien
Tyler AngleSyracuse Crunch (TAM)C242000-09-30CANNo166 Lbs5 ft10NoNoN/ANoNo42024-05-19FalseFalsePro & Farm867,500$371,786$0$0$No867,500$867,500$867,500$------867,500$867,500$867,500$------NoNoNo------Lien
Uvis BalinskisSyracuse Crunch (TAM)D281996-08-01LVANo196 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-18FalseFalsePro & Farm870,000$372,857$0$0$No870,000$870,000$870,000$------600,000$600,000$600,000$------NoNoNo------Lien
Waltteri MerelaSyracuse Crunch (TAM)C261998-07-06FINYes210 Lbs6 ft3NoNoAssign ManuallyNoNo42024-08-18FalseFalsePro & Farm870,000$372,857$0$0$No870,000$870,000$870,000$------600,000$600,000$600,000$------NoNoNo------Lien
Yaroslav AskarovSyracuse Crunch (TAM)G222002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.91194 Lbs6 ft12.041,014,782$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
2Elmer Soderblom30122
3Tyler Angle22122
4Ben McCartney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
230122
3Kim NousiainenEemil Viro22122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Elmer Soderblom40122
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
, Tyler Angle, , Tyler Angle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kim Nousiainen, Eemil Viro, Kim NousiainenEemil Viro,
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
Total
Domicile
Visiteur
#
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
Jour
Match
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
36 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,334,000$ 1,649,750$ 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$ 12 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
172571269291814510330718.57%1980011.12000000005177.66%41.7224
2725896723762419946912.37%38111015.421123000011271.93%61.2114
364949582642140697412.16%65100415.6911260000000%01.1600
47253641143067324610.87%3078710.9400000000010%01.0400
5722112332116813312616.67%223544.92000000005180.95%01.8611

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

Total
Domicile
Visiteur
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
21722434001004210251-4136151400502127128-1369200050283123-406221035656620836364422807727207584421095753051492157148.92%1332978.20%1930179351.87%674152344.25%541112148.26%187614531738416758378
Total Saison régulière722434001004210251-4136151400502127128-1369200050283123-406221035656620836364422807727207584421095753051492157148.92%1332978.20%1930179351.87%674152344.25%541112148.26%187614531738416758378
Séries éliminatoires
2040400000519-142020000028-620200000311-80571200131012848423809022301071200.00%9455.56%09414863.51%477166.20%296246.77%1209577214122
Total Séries éliminatoires40400000519-142020000028-620200000311-80571200131012848423809022301071200.00%9455.56%09414863.51%477166.20%296246.77%1209577214122

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
1Lauri Pajuniemi4123-2017520.00%14310.800000000000100.00%01.3900
2Tyler Angle4112-2228156.67%14411.07000000000093.44%00.9000
3Matthew Kessel3011-4014570%35618.9900070000000%00.3500
4Justin Kirkland4011-254690%04310.850000000000100.00%00.4600
5Jack Quinn4101-2017195.26%06115.31000000000050.00%00.3300

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