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Syracuse
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: William Mercier | Morale : 50 | Moyenne d’équipe : N/A

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralWilliam Mercier
DivisionNord
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite Contrat42 / 50
Espoirs35


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Landon Slaggert (R)XX100.00752985897783997071717173744040685000222500,000$
2Cale FleuryX100.007330848390769952505251867949485150002521,250,000$
3Ryan JohnsonX100.00722994908881994950524588794241665000221700,000$
Rayé
1Jori LehteraXXX100.006229944782658764806166617978721750003600$
2Anders LeeX100.007031896387729161656062597278952350003300$
3Rocco GrimaldiXX100.006724907070748166696566598266544150003100$
4Damien GirouxX100.00443098777582996871687070774642565000244800,000$
5Trevor LewisXXX100.006029935272609066836766656768631650003700$
6David DesharnaisXX100.005326975560699262846364608485692650003700$
7Justin BaileyXX100.00613592789075796875686964695752365000291700,000$
8Pontus AbergXX100.005929947684708669736866568063594050003000$
9Ben JonesXX100.00794482717769996674676769725150545000253800,000$
10Oliver Kapanen (R)X100.00713093788277997582717874703737765000203500,000$
11Alex Newhook (R)XX100.00743094797978997284697469704444785000232900,000$
12Mark BarberioX100.006230865678688146504344837172632350003400$
13Chris WidemanX100.007030726775738649504749847180751550003400$
14Dylan OlsenX100.006539676183748651504748884959482750003300$
15Olen Zellweger (R)X100.00723091957586995550545689703434835000203900,000$
MOYENNE D’ÉQUIPE100.0066318972797492626761627273585544500
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Corey Crawford100.005584888174827979807881929085000391600,000$
Rayé
1Dustin Tokarski100.00598780767180817877757070703250003400$
2James Reimer100.00578278827085848485747983823850003600$
3Samuel Ersson (R)100.0065928282788580798279824848765000241600,000$
MOYENNE D’ÉQUIPE100.005986828073838180817778737339500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex NewhookSyracuse (TAM)C/LW232001-01-28CANYes190 Lbs5 ft10NoNoProspectNoNo22026-08-16FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------
Anders LeeSyracuse (TAM)LW331990-07-03USANo235 Lbs6 ft3NoNoFree AgentNoNo02024-10-21FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ben JonesSyracuse (TAM)C/LW251999-02-26CANNo187 Lbs6 ft0NoNoProspectNoNo32026-09-04FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Cale FleurySyracuse (TAM)D251998-11-19CANNo204 Lbs6 ft1NoNoTrade2026-03-25NoNo22025-09-09FalseFalsePro & Farm1,250,000$1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------
Chris WidemanSyracuse (TAM)D341990-01-07USANo180 Lbs5 ft10NoNoTrade2026-04-25NoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Corey CrawfordSyracuse (TAM)G391984-12-31CANNo221 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien
Damien GirouxSyracuse (TAM)C242000-03-03CANNo179 Lbs5 ft10NoNoTrade2025-08-27NoNo42026-09-04FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
David DesharnaisSyracuse (TAM)C/LW371986-09-14CANNo177 Lbs5 ft7NoNoFree AgentNoNo02025-11-05FalseFalsePro & Farm0$0$No---------------------------Lien
Dustin TokarskiSyracuse (TAM)G341989-09-16CANNo203 Lbs5 ft11NoNoFree AgentNoNo02024-10-09FalseFalsePro & Farm0$0$No---------------------------Lien
Dylan OlsenSyracuse (TAM)D331991-01-03USANo233 Lbs6 ft2NoNoFree AgentNoNo02025-11-05FalseFalsePro & Farm0$0$No---------------------------Lien
James ReimerSyracuse (TAM)G361988-01-21CANNo228 Lbs6 ft2NoNoFree AgentNoNo02024-10-21FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Jori LehteraSyracuse (TAM)C/LW/RW361987-12-23FINNo212 Lbs6 ft2NoNoFree AgentNoNo02025-11-05FalseFalsePro & Farm0$0$No---------------------------Lien
Justin BaileySyracuse (TAM)LW/RW291995-07-01USANo220 Lbs6 ft3NoNoFree Agent2025-03-23YesNo12026-09-04FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------Lien / Lien NHL
Landon SlaggertSyracuse (TAM)C/LW222002-06-25USAYes180 Lbs6 ft0NoNoProspectNoNo22025-11-01FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Mark BarberioSyracuse (TAM)D341990-03-23CANNo209 Lbs6 ft1NoNoFree AgentNoNo02025-11-05FalseFalsePro & Farm0$0$No---------------------------
Olen ZellwegerSyracuse (TAM)D202003-09-10CANYes175 Lbs5 ft9NoNoProspectNoNo32026-08-17FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Oliver KapanenSyracuse (TAM)C202003-07-29SWEYes194 Lbs6 ft2NoNoProspectNoNo32026-08-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Pontus AbergSyracuse (TAM)LW/RW301993-09-23SWENo197 Lbs6 ft0NoNoFree AgentNoNo02025-09-27FalseFalsePro & Farm0$0$No---------------------------Lien
Rocco GrimaldiSyracuse (TAM)LW/RW311993-02-08USANo183 Lbs5 ft6NoNoFree AgentNoNo02025-11-05FalseFalsePro & Farm0$0$No---------------------------Lien
Ryan JohnsonSyracuse (TAM)D222001-07-24USANo195 Lbs6 ft1NoNoProspectNoNo12024-10-08FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------
Samuel ErssonSyracuse (TAM)G241999-10-20SWEYes194 Lbs6 ft2NoNoProspectNoNo12026-08-17FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------
Trevor LewisSyracuse (TAM)C/LW/RW371987-01-08USANo208 Lbs6 ft1NoNoFree AgentNoNo02025-11-05FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.45200 Lbs6 ft01.05375,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Landon Slaggert35122
230122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale Fleury35122
2Ryan Johnson30122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Landon Slaggert50122
250122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale Fleury50122
2Ryan Johnson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Landon Slaggert50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale Fleury50122
2Ryan Johnson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Landon Slaggert50122Cale Fleury50122
250122Ryan Johnson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Landon Slaggert50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale Fleury50122
2Ryan Johnson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Landon SlaggertCale Fleury
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Landon SlaggertCale Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Landon Slaggert, ,
Gardien
#1 : Corey Crawford, #2 :
Lignes d’attaque personnalisées en prolongation
, , Landon Slaggert, , , , , , ,
Lignes de défense personnalisées en prolongation
, Cale Fleury, , Ryan Johnson,


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
TotalDomicile 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 RI
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 billets5030
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 825,000$ 825,000$ 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$ 0 0$ 0$




Syracuse 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 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 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 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 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