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Connexion

Syracuse
GP: 82 | W: 37 | L: 41 | OTL: 4 | P: 78
GF: 248 | GA: 269 | PP%: 19.88% | PK%: 81.31%
DG: William Mercier | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Syracuse
37-41-4, 78pts
2
FINAL
5 Hershey
45-29-8, 98pts
Team Stats
L2SéquenceW6
23-15-3Fiche domicile19-18-4
14-26-1Fiche domicile26-11-4
4-5-1Derniers 10 matchs7-2-1
3.02Buts par match 3.18
3.28Buts contre par match 2.96
19.88%Pourcentage en avantage numérique16.32%
81.31%Pourcentage en désavantage numérique82.80%
Syracuse
37-41-4, 78pts
0
FINAL
1 Providence
46-26-10, 102pts
Team Stats
L2SéquenceW2
23-15-3Fiche domicile24-11-6
14-26-1Fiche domicile22-15-4
4-5-1Derniers 10 matchs7-3-0
3.02Buts par match 3.18
3.28Buts contre par match 2.91
19.88%Pourcentage en avantage numérique13.29%
81.31%Pourcentage en désavantage numérique84.21%
Meneurs d'équipe
Mike HoffmanButs
Mike Hoffman
25
Passes
Filip Zadina
41
Points
Filip Zadina
65
Mike HoffmanPlus/Moins
Mike Hoffman
17
Victoires
Devan Dubnyk
19
Pourcentage d’arrêts
Devan Dubnyk
0.919

Statistiques d’équipe
Buts pour
248
3.02 GFG
Tirs pour
2971
36.23 Avg
Pourcentage en avantage numérique
19.9%
66 GF
Début de zone offensive
40.8%
Buts contre
269
3.28 GAA
Tirs contre
3159
38.52 Avg
Pourcentage en désavantage numérique
81.3%%
57 GA
Début de la zone défensive
42.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,244
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure20
Limite contact 39 / 50
Espoirs40


Historique d'équipe

Saison actuelle37-41-4 (78PTS)
Historique0-0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ryan GetzlafX100.006432934776729376767370758199841950003811,500,000$
2Anders LeeX100.00782987709180926768656959757391255000322800,000$
3Filip Zadina (R)XX100.00763095808279897270707470824343715000232900,000$
4Tanner PearsonX100.00753492738482876569656868786664335000301800,000$
5Mike HoffmanXX100.00703393747880977169667359837662445000331800,000$
6J.T. BrownXX100.00573295757175746964697164675351265000321800,000$
7Cody EakinXX100.007129986977839669806671687866603050003211,400,000$
8Nicklas BergforsXX100.007135935973568075767175727996801550003631,750,000$
9Eric StaalXX100.00723680497275996483626667729999205000381800,000$
10Joey HishonX100.00563397796977696580676560795948345000311800,000$
11Kieffer Bellows (R)XX100.008141838286837874747572598149456050002511,100,000$
12Kaedan Korczak (R)X100.00712797838887994672474589783937645000222700,000$
13Nikita NesterovX100.00712970806987874753474781705642435000292800,000$
14Egor Zamula (R)X100.00772584738882975370545187754343745000232600,000$
15Dylan OlsenX100.00673863688380875250494989515644295000321800,000$
16Brett KulakX100.00733372748686885751555789695656475000292975,000$
Rayé
1Jesperi Kotkaniemi (R)XX100.00843084808782997587757566774343745000222900,000$
MOYENNE D’ÉQUIPE100.0071328771807989657063657275635842500
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
1Dustin Tokarski100.0060877876718081818078706867325000332670,000$
2Devan Dubnyk100.0060799284788283838374718381225000372800,000$
Rayé
MOYENNE D’ÉQUIPE100.006083858075818282827671767427500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Murray79768970999964CAN5621,400,000$


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
1Filip ZadinaSyracuse (TAM)LW/RW7024416521005884266752299.02%17130718.6861824642291013536150.00%12200000.9912000361
2Nicklas BergforsSyracuse (TAM)LW/RW65213253039156077216541579.72%10130320.0548124720800011251148.26%34400100.8123102016
3Jesperi KotkaniemiSyracuse (TAM)C/LW47173148-142010395172471169.88%391319.446915391550002192051.89%116200011.0511000331
4Brett HowdenTampa Bay C/LW571631474521014599226601537.08%15108519.0451520511760110543254.59%118700100.8712101542
5Kieffer BellowsSyracuse (TAM)LW/RW83212647-13591514073253822048.30%10145117.4941317552800000232345.58%14700010.6503201421
6Mike HoffmanSyracuse (TAM)LW/RW7925204517542067642276516511.01%9125215.858917702500001526048.92%18600000.7211112423
7Cody EakinSyracuse (TAM)C/LW7121204117255551151975214910.66%19128118.05123149401131754050.58%102600000.6400010025
8Nikita NesterovSyracuse (TAM)D8111283969351107598244811.22%123142217.5622417900001172000%000010.5500001310
9Anders LeeSyracuse (TAM)LW7820123244008345133349515.04%899612.780000210161141144.68%9400000.6400000232
10Brett KulakSyracuse (TAM)D5072431-4380524211134766.31%74100620.136814571460003135110%000000.6200000021
11Brandon DavidsonTampa Bay D5072330-23280596710642816.60%150110922.20551056159000096200%000000.5400000220
12J.T. BrownSyracuse (TAM)LW/RW72131528-11401157165541077.88%1088112.2526819830006851143.90%8200000.6300000101
13Kaedan KorczakSyracuse (TAM)D5462127-17100465610324645.83%102127223.57459541740111166000%200000.4200000101
14Colin MillerTampa Bay D3052126-226062396526497.69%7261820.603101337103000263100%000000.8400000113
15Dylan OlsenSyracuse (TAM)D81719262903096659638567.29%129146418.0820228820113220100%000000.3600231010
16Egor ZamulaSyracuse (TAM)D5951621-2062055729728815.15%105135222.9243746192000183100%000000.3100000011
17Derek RyanTampa Bay C/RW2171421-210023288919517.87%643220.59481220680000211156.03%14100010.9700000112
18Eric StaalSyracuse (TAM)C/LW788122055010961098529409.41%35124115.9220286900061781055.27%101500000.3200110011
19Ryan GetzlafSyracuse (TAM)C5961319-1135247110029686.00%1074012.5503310400004661053.19%100200000.5100001002
20Joey HishonSyracuse (TAM)C8110818-191610148599266510.10%97869.7100013000040150.62%88300000.4600110002
21Rasmus AsplundTampa Bay LW/RW296101618018318026507.50%547416.361239410000601050.00%4600000.6700000001
22Tanner PearsonSyracuse (TAM)LW8141216-30295914910336773.88%116447.961348390000111051.06%4700000.5000001101
23Connor MurphyTampa Bay D2701313-7391547294512160%4761522.810332589000080000%000000.4200111000
24Adam RuzickaTampa Bay C/LW1657123404235622448.93%031319.6220214470000160047.46%27600000.7601000010
25Taylor BeckTampa Bay LW/RW23571234021137713456.49%536715.992021246000021060.00%3000000.6500000010
26Ryan JohnsonTampa Bay D3721012012024354713264.26%5667418.222131854000063000%000000.3600000001
27Mark BarberioTampa Bay D8101-160137158156.67%1115619.61000628000018100%000000.1300000010
Statistiques d’équipe totales ou en moyenne1487280486766-8786314515771605332797223278.42%10512516716.93761332097852960246432166391251.96%779200240.6161310811313638
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
1Devan DubnykSyracuse (TAM)36191420.9192.9821332210613030301.00043613712
2Dustin TokarskiSyracuse (TAM)30121520.9143.2417251209310850010.50022944630
3James ReimerTampa Bay 1661000.9143.229330050582001001621230
Statistiques d’équipe totales ou en moyenne82373940.9163.1247911422492970032681781572


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
Anders LeeSyracuse (TAM)LW321990-07-03USANo235 Lbs6 ft3NoNoFree AgentNoNo22024-10-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Brett KulakSyracuse (TAM)D291994-01-06CANNo189 Lbs6 ft2NoNoN/ANoNo22024-09-14FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Cody Eakin (contrat à 1 volet)Syracuse (TAM)C/LW321991-05-24CANNo202 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm1,400,000$14,000$0$No---------------------------Lien
Devan DubnykSyracuse (TAM)G371986-05-04CANNo221 Lbs6 ft6NoNoFree AgentNoNo22024-10-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Dustin TokarskiSyracuse (TAM)G331989-09-16CANNo203 Lbs5 ft11NoNoFree AgentNoNo22024-10-09FalseFalsePro & Farm670,000$0$0$No670,000$--------670,000$--------No--------Lien
Dylan OlsenSyracuse (TAM)D321991-01-03USANo233 Lbs6 ft2NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Egor ZamulaSyracuse (TAM)D232000-03-30RUSYes200 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Eric StaalSyracuse (TAM)C/LW381984-10-29CANNo212 Lbs6 ft4NoNoFree AgentNoNo12024-10-21FalseFalsePro & Farm800,000$0$0$No---------------------------
Filip ZadinaSyracuse (TAM)LW/RW231999-11-27CZEYes190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
J.T. BrownSyracuse (TAM)LW/RW321990-07-02USANo179 Lbs5 ft10NoNoFree AgentNoNo12024-10-21FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Jesperi KotkaniemiSyracuse (TAM)C/LW222000-07-06FINYes201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Joey HishonSyracuse (TAM)C311991-10-20CANNo180 Lbs5 ft10NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Kaedan KorczakSyracuse (TAM)D222001-01-29CANYes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien NHL
Kieffer BellowsSyracuse (TAM)LW/RW251998-06-10USAYes195 Lbs6 ft1NoNoTrade2025-03-19NoNo12024-09-15FalseFalsePro & Farm1,100,000$0$0$No---------------------------
Mike HoffmanSyracuse (TAM)LW/RW331989-11-24CANNo190 Lbs6 ft0NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm800,000$0$0$No---------750,000$-----------------Lien / Lien NHL
Nicklas BergforsSyracuse (TAM)LW/RW361987-03-07SWENo208 Lbs5 ft11NoNoTrade2025-03-19NoNo32024-09-26FalseFalsePro & Farm1,750,000$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Nikita NesterovSyracuse (TAM)D291994-03-28RUSNo197 Lbs5 ft11NoNoFree AgentNoNo22024-10-11FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Ryan GetzlafSyracuse (TAM)C381985-05-10CANNo227 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Tanner PearsonSyracuse (TAM)LW301992-08-10CANNo201 Lbs6 ft1NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm800,000$0$0$No---------850,000$-----------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1930.37203 Lbs6 ft11.58931,316$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer BellowsFilip Zadina30005
2Cody EakinRyan GetzlafNicklas Bergfors30005
3Anders LeeJoey HishonMike Hoffman25131
4Tanner PearsonJ.T. Brown15221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Egor ZamulaKaedan Korczak40014
2Brett KulakDylan Olsen30122
3Nikita NesterovEric Staal30122
4Kaedan KorczakEgor Zamula0014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicklas BergforsFilip Zadina50005
2Mike HoffmanEric StaalKieffer Bellows50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakEgor Zamula50005
2Nikita NesterovBrett Kulak50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cody EakinAnders Lee50140
2Eric StaalJ.T. Brown50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakNikita Nesterov50140
2Dylan OlsenBrett Kulak50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cody Eakin50050Brett KulakNikita Nesterov50050
2Eric Staal50050Kaedan KorczakDylan Olsen50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Eric StaalKieffer Bellows50122
2Filip Zadina50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan OlsenEgor Zamula50122
2Brett KulakNikita Nesterov50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsFilip ZadinaEgor ZamulaKaedan Korczak
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric StaalCody EakinFilip ZadinaBrett KulakKaedan Korczak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kieffer Bellows, , Filip ZadinaFilip Zadina, Cody Eakin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaedan Korczak, Egor Zamula, Brett KulakEgor ZamulaKaedan Korczak, Brett Kulak
Tirs de pénalité
Kieffer Bellows, Nicklas Bergfors, Filip Zadina, , Mike Hoffman
Gardien
#1 : , #2 : Dustin Tokarski
Lignes d’attaque personnalisées en prolongation
, Kieffer Bellows, Ryan Getzlaf, Filip Zadina, Cody Eakin, Mike Hoffman, Eric Staal, Nicklas Bergfors, Joey Hishon, J.T. Brown
Lignes de défense personnalisées en prolongation
Egor Zamula, Kaedan Korczak, Nikita Nesterov, Brett Kulak, Dylan Olsen


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
1Abbotsford320010001174220000007431000100043161.000111930001047958912996710099633912846265014535.71%7271.43%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
2Bakersfield3300000015962200000010551100000054161.000152237001047958914196710099633910123275216531.25%9188.89%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
3Bridgeport431000001174220000007432110000043160.750111728001047958913296710099633915650338015426.67%13192.31%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
4Charlotte4220000011110211000005502110000066040.500111829001047958913696710099633916947446112216.67%170100.00%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
5Cleveland40200110719-1220200000113-122000011066030.3757101700104795891349671009963392206232732015.00%16381.25%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
6Coachella Valley3020100089-1100010004312020000046-220.33381422001047958913296710099633911729345010110.00%10280.00%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
7Eagles3120000046-2211000003301010000013-220.333461001104795898596710099633911224326510220.00%100100.00%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
8Grand Rapids41200100912-32010010057-22110000045-130.3759162500104795891169671009963391444449591317.69%21576.19%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
9Hartford43100000201462200000015962110000055060.750203959001047958916096710099633916850516813323.08%22577.27%11621318850.85%1647330349.86%672132850.60%1871125019956401084529
10Hershey40400000921-122020000049-520200000512-700.0009172600104795891379671009963391493524631200.00%11372.73%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
11Iowa32100000156922000000133101010000023-140.66715264100104795891429671009963396130224412433.33%9188.89%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
12Laval514000001521-62110000056-1303000001015-520.200152641101047958917896710099633920360679418422.22%23578.26%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
13Lehigh Valley43001000171252200000011832100100064281.000173350001047958913296710099633915947396819315.79%16381.25%11621318850.85%1647330349.86%672132850.60%1871125019956401084529
14Manitoba30300000413-91010000015-42020000038-500.000471100104795891209671009963391273620401500.00%9366.67%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
15Ontario312000001112-11100000052320200000610-420.333112031001047958910696710099633910133164414535.71%7271.43%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
16Providence403001001117-620100100812-42020000035-210.125112132001047958913996710099633916248456812433.33%13192.31%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
17Rochester54100000188103210000054122000000134980.800183149011047958920696710099633915859439728725.00%17194.12%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
18Rockford31200000812-41010000034-12110000058-320.33381321001047958910096710099633910638204916212.50%9633.33%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
19San Diego3010011078-11000010023-12010001055030.500710170010479589989671009963391213824489222.22%110100.00%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
20San Jose321000001284211000008711100000041340.667122032001047958911396710099633911220415311218.18%11372.73%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
21Springfield30300000713-61010000013-220200000610-400.00071320001047958910896710099633911927355111327.27%15473.33%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
22Texas31101000660210010005321010000013-240.66761218001047958910696710099633910833206015213.33%70100.00%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
23Wilkes-Barre/Scranton403010001218-62010100088020200000410-620.250122234101047958912196710099633915856486217423.53%22672.73%01621318850.85%1647330349.86%672132850.60%1871125019956401084529
Total82304105420248269-2141201503300136130641102602120112139-27780.47624843268022104795892971967100996339315993579213993326619.88%3055781.31%21621318850.85%1647330349.86%672132850.60%1871125019956401084529
_Since Last GM Reset82304105420248269-2141201503300136130641102602120112139-27780.47624843268022104795892971967100996339315993579213993326619.88%3055781.31%21621318850.85%1647330349.86%672132850.60%1871125019956401084529
_Vs Conference46172302310140160-20231010012007485-1123713011106675-9430.4671402503902110479589159196710099633918465584757931793318.44%1913382.72%21621318850.85%1647330349.86%672132850.60%1871125019956401084529
_Vs Division22812002006469-51145002002834-611470000036351180.409641121761110479589775967100996339836258248379831821.69%911286.81%01621318850.85%1647330349.86%672132850.60%1871125019956401084529

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8278L224843268029713159935792139922
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8230415420248269
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120153300136130
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4110262120112139
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
3326619.88%3055781.31%2
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
96710099633910479589
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
1621318850.85%1647330349.86%672132850.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1871125019956401084529


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
210Cleveland11Syracuse0LSommaire du match
316Syracuse3Laval4LSommaire du match
630Charlotte3Syracuse2LSommaire du match
1047Syracuse2Wilkes-Barre/Scranton4LSommaire du match
1255Rochester3Syracuse0LSommaire du match
1575Texas2Syracuse3WSommaire du match
1788Syracuse3Charlotte2WSommaire du match
1997Syracuse0Bridgeport2LSommaire du match
21105Syracuse1Manitoba5LSommaire du match
22113Abbotsford2Syracuse3WSommaire du match
24128Syracuse4San Diego3WXXSommaire du match
27136Wilkes-Barre/Scranton5Syracuse4LSommaire du match
29150Syracuse2Hartford4LSommaire du match
31157Eagles3Syracuse0LSommaire du match
34175Rochester1Syracuse3WSommaire du match
36188Syracuse2Coachella Valley3LSommaire du match
38201Cleveland2Syracuse1LSommaire du match
40212Syracuse3Charlotte4LSommaire du match
43226Laval2Syracuse3WSommaire du match
45237Syracuse4Laval7LSommaire du match
47250Lehigh Valley5Syracuse7WSommaire du match
51269Coachella Valley3Syracuse4WXSommaire du match
53284Syracuse4San Jose1WSommaire du match
54291Syracuse5Bakersfield4WSommaire du match
56299Springfield3Syracuse1LSommaire du match
58316Ontario2Syracuse5WSommaire du match
60327Syracuse3Ontario6LSommaire du match
63342Abbotsford2Syracuse4WSommaire du match
65354Syracuse1Grand Rapids3LSommaire du match
67366Laval4Syracuse2LSommaire du match
71379Syracuse3Grand Rapids2WSommaire du match
73390Manitoba5Syracuse1LSommaire du match
75401Syracuse1Eagles3LSommaire du match
77408Syracuse3Laval4LSommaire du match
79415Syracuse3Providence4LSommaire du match
80423Charlotte2Syracuse3WSommaire du match
83441Eagles0Syracuse3WSommaire du match
87462Rochester0Syracuse2WSommaire du match
90476Syracuse4Abbotsford3WXSommaire du match
92487Texas1Syracuse2WXSommaire du match
95506Syracuse4Bridgeport1WSommaire du match
96513San Jose1Syracuse3WSommaire du match
99526Syracuse3Cleveland2WXXSommaire du match
100535Wilkes-Barre/Scranton3Syracuse4WXSommaire du match
103544Syracuse1Texas3LSommaire du match
106560San Diego3Syracuse2LXSommaire du match
108567Syracuse1San Diego2LSommaire du match
110579Syracuse2Iowa3LSommaire du match
112586Hershey4Syracuse1LSommaire du match
114596Syracuse7Rochester1WSommaire du match
117609Rockford4Syracuse3LSommaire du match
121630Providence4Syracuse3LXSommaire du match
125642Syracuse6Rochester3WSommaire du match
127653San Jose6Syracuse5LSommaire du match
130671Syracuse3Cleveland4LXSommaire du match
131679Iowa2Syracuse8WSommaire du match
134698Lehigh Valley3Syracuse4WSommaire du match
135705Syracuse2Coachella Valley3LSommaire du match
139724Iowa1Syracuse5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
141733Syracuse3Hartford1WSommaire du match
143746Syracuse2Manitoba3LSommaire du match
144751Syracuse2Wilkes-Barre/Scranton6LSommaire du match
146758Hershey5Syracuse3LSommaire du match
148774Bridgeport2Syracuse4WSommaire du match
151792Syracuse3Lehigh Valley2WSommaire du match
154801Providence8Syracuse5LSommaire du match
156817Syracuse3Lehigh Valley2WXSommaire du match
157822Grand Rapids4Syracuse3LSommaire du match
161844Bridgeport2Syracuse3WSommaire du match
164859Syracuse3Ontario4LSommaire du match
166868Hartford5Syracuse8WSommaire du match
168880Syracuse2Springfield4LSommaire du match
169884Syracuse0Rockford6LSommaire du match
172896Grand Rapids3Syracuse2LXSommaire du match
175911Syracuse4Springfield6LSommaire du match
176919Hartford4Syracuse7WSommaire du match
180935Syracuse5Rockford2WSommaire du match
181938Syracuse3Hershey7LSommaire du match
183946Bakersfield2Syracuse4WSommaire du match
186963Bakersfield3Syracuse6WSommaire du match
187964Syracuse2Hershey5LSommaire du match
189971Syracuse0Providence1LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance61,85130,145
Assistance PCT75.43%73.52%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2244 - 74.79% 131,605$5,395,814$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,943,181$ 1,629,500$ 1,629,500$ 1,400,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,399$ 1,543,178$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,616$ 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