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Connexion

Syracuse Mafia
GP: 6 | W: 2 | L: 4
GF: 11 | GA: 14 | PP%: 12.50% | PK%: 92.31%
DG: Alexandre Dulude | Morale : 90 | Moyenne d’équipe : N/A
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Centre de jeu
Syracuse Mafia
2-4-0, 4pts
2
FINAL
3 Connecticut Royals
9-3-0, 18pts
Team Stats
OTL1SéquenceW1
0-3-0Fiche domicile4-3-0
2-1-0Fiche domicile5-0-0
2-3-1Derniers 10 matchs9-1-0
1.83Buts par match 3.08
2.33Buts contre par match 2.33
12.50%Pourcentage en avantage numérique13.04%
92.31%Pourcentage en désavantage numérique87.10%
Connecticut Royals
9-3-0, 18pts
2
FINAL
1 Syracuse Mafia
2-4-0, 4pts
Team Stats
W1SéquenceOTL1
4-3-0Fiche domicile0-3-0
5-0-0Fiche domicile2-1-0
9-1-0Derniers 10 matchs2-3-1
3.08Buts par match 1.83
2.33Buts contre par match 2.33
13.04%Pourcentage en avantage numérique12.50%
87.10%Pourcentage en désavantage numérique92.31%
Meneurs d'équipe
Michael BuchingerButs
Michael Buchinger
2
Grant MismashPasses
Grant Mismash
3
Grant MismashPoints
Grant Mismash
3
Henry RybinskiPlus/Moins
Henry Rybinski
0

Statistiques d’équipe
Buts pour
11
1.83 GFG
Tirs pour
170
28.33 Avg
Pourcentage en avantage numérique
12.5%
2 GF
Début de zone offensive
42.0%
Buts contre
14
2.33 GAA
Tirs contre
142
23.67 Avg
Pourcentage en désavantage numérique
92.3%%
1 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralAlexandre Dulude
EntraîneurDarryl Sutter
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure24
Limite contact 50 / 70
Espoirs32


Historique d'équipe

Saison actuelle2-4
Historique253-204-35 (0.499%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)8-8
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
1Will Bitten66XXX100.0073438272728085707371677067717109000271775,000$
2Mathias Emilio Pettersen (R)57XXX100.0071598077709090737570707570707009000251775,000$
3Henry Rybinski (R)94XXX100.0068558674677979706666666868676709000241775,000$
4Rory Kerins (R)6XXX100.0072568475748078707068687070686809000231775,000$
5Tyce Thompson18XXX100.0068359572738080707070707070686809000261775,000$
6Nathan Bastian10XXX100.0085778474878384737073727770727309000281775,000$
7Grant Mismash29XXX100.0073568476769090727070707570707009000271775,000$
8Nick Caamano56XXX100.0074607977759090707070707575707009000271775,000$
9Josiah Slavin14XXX100.0072468270817878656668687063707009000271775,000$
10James Malatesta (R)19XXX100.0072597875687878706768686868687009000221775,000$
11Sandis Vilmanis (R)37XXX100.0067588273757878676668686866686809000222855,000$
12Yegor Sidorov (R)26XXX100.0068578375747979706670707170686809000212865,000$
13Nikolai Knyzhov72X100.0081387871848077683071657950727109000281775,000$
14Josh Brook59X100.0070537270748489643066637247707009000262775,000$
15Nate Clurman84X100.0074628274748082665067637360707009000271775,000$
16Michael Buchinger (R)62X100.0068568274737878675067637260686809000212838,333$
17Tomas Hamara (R)71X100.0070578273737979665067637360686809000222803,334$
18Anton Johansson (R)61X100.0070578277738080665067637450686809000212950,000$
Rayé
1Tim Gettinger97XXX100.0078628077799090707070707575707009000271775,000$
2Filip Zadina11XXX100.00573595767283877663747375777273090002600$
3Ryan McGregor87XXX100.0067358372728286686668686868686809000271775,000$
4Jack Ahcan15X100.0066359573697777703068667450717109000281775,000$
5Emile Chouinard (R)51X100.0072608277778080655067637460686805000231775,000$
MOYENNE D’ÉQUIPE100.007153837474828269596967726569690880
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
1Kaapo Kahkonen30100.0081858583818181818181817878090002911,150,000$
2Colten Ellis (R)32100.007585858175757575757575727209000252775,000$
Rayé
1Spencer Martin31100.007985858379797979797979737509000302775,000$
MOYENNE D’ÉQUIPE100.00788585827878787878787874750900
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter81887984938751CAN6622,250,000$


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
1Grant MismashSyracuse Mafia (NYM)C/LW/RW6033-220511133130%111018.35011315000040050.89%11200000.5500000000
2James MalatestaSyracuse Mafia (NYM)C/LW/RW6033000337450%0376.2000000000000051.11%4500001.6100000000
3Michael BuchingerSyracuse Mafia (NYM)D62130208451440.00%48914.890000000000110%000000.6700000100
4Sandis VilmanisSyracuse Mafia (NYM)C/LW/RW61230004452420.00%1376.200000000000000%200001.6100000010
5Yegor SidorovSyracuse Mafia (NYM)C/LW/RW6213-22043114818.18%010317.26101115000001062.50%800000.5800000000
6Mathias Emilio Pettersen Syracuse Mafia (NYM)C/LW/RW6112-12089157136.67%113322.25101314000180176.92%1300000.3000000001
7Henry RybinskiSyracuse Mafia (NYM)C/LW/RW62020002263533.33%0376.200000000000000%000001.0800000010
8Rory KerinsSyracuse Mafia (NYM)C/LW/RW6022-1004513490%06611.1600000000000050.00%200000.6000000000
9Nathan BastianSyracuse Mafia (NYM)C/LW/RW6022-1401019167180%413823.060113140000110056.11%18000000.2900000000
10Nikolai KnyzhovSyracuse Mafia (NYM)D6022-120874340%1314223.68022015000011000%000000.2800000010
11Nick CaamanoSyracuse Mafia (NYM)C/LW/RW6202-18052256158.00%013622.810002140000100044.44%900000.2900000000
12Will BittenSyracuse Mafia (NYM)C/LW/RW6011-20012714720%110818.12000315000050033.33%600000.1800000000
13Tyce ThompsonSyracuse Mafia (NYM)C/LW/RW6011-100398650%06711.3000000000000061.33%7500000.2900000000
14Josiah SlavinSyracuse Mafia (NYM)C/LW/RW6101-1002483512.50%37412.4800000000070070.00%1000000.2700000000
15Josh BrookSyracuse Mafia (NYM)D6000-100837130%714323.84000515000012000%00000000000000
16Nate ClurmanSyracuse Mafia (NYM)D6000-3001133030%612821.34000114000011000%00000000000000
17Tomas HamaraSyracuse Mafia (NYM)D6000020455120%39215.360000000003000%00000000000000
18Anton JohanssonSyracuse Mafia (NYM)D6000-360985780%312520.9500051400009000%00000000000000
Statistiques d’équipe totales ou en moyenne108111930-20300110108170691266.47%47177216.41246261510001972255.41%46200000.3400000131
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
1Kaapo KahkonenSyracuse Mafia (NYM)62310.9012.3435900141420000060000
Statistiques d’équipe totales ou en moyenne62310.9012.343590014142000060000


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 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
Anton JohanssonSyracuse Mafia (NYM)D212004-06-10SWEYes196 Lbs6 ft4NoNoProspectNoNo22025-04-02FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------
Colten EllisSyracuse Mafia (NYM)G252000-10-05CANYes188 Lbs6 ft1NoNoN/ANoNo22025-03-07FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Emile ChouinardSyracuse Mafia (NYM)D232003-03-26CANYes205 Lbs6 ft5NoNoTrade2026-03-19NoNo12025-09-28FalseFalsePro & Farm775,000$0$0$No---------------------------
Filip ZadinaSyracuse Mafia (NYM)C/LW/RW261999-11-27CZENo189 Lbs6 ft0NoNoN/ANoNo02025-03-13FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Grant MismashSyracuse Mafia (NYM)C/LW/RW271999-02-19USANo186 Lbs6 ft0NoNoN/ANoNo12025-10-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Henry RybinskiSyracuse Mafia (NYM)C/LW/RW242001-06-26CANYes175 Lbs6 ft1NoNoN/ANoNo12025-06-27FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Jack AhcanSyracuse Mafia (NYM)D281997-05-18USANo178 Lbs5 ft8NoNoTrade2026-03-19NoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
James MalatestaSyracuse Mafia (NYM)C/LW/RW222003-05-31CANYes179 Lbs5 ft9NoNoN/ANoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Josh BrookSyracuse Mafia (NYM)D261999-06-17CANNo182 Lbs6 ft1NoNoN/ANoNo22025-09-13FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Josiah SlavinSyracuse Mafia (NYM)C/LW/RW271998-12-31USANo189 Lbs6 ft3NoNoN/ANoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Kaapo KahkonenSyracuse Mafia (NYM)G291996-08-16FINNo215 Lbs6 ft2NoNoTrade2025-12-25NoNo12025-07-01FalseFalsePro & Farm1,150,000$0$0$No---------------------------Lien / Lien NHL
Mathias Emilio Pettersen Syracuse Mafia (NYM)C/LW/RW252000-04-03NORYes175 Lbs5 ft10NoNoN/ANoNo12025-10-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Michael BuchingerSyracuse Mafia (NYM)D212004-04-25CANYes190 Lbs6 ft0NoNoProspectNoNo22024-07-18FalseFalsePro & Farm838,333$0$0$No838,333$--------838,333$--------No--------Lien NHL
Nate ClurmanSyracuse Mafia (NYM)D271998-05-08USANo205 Lbs6 ft2NoNoN/ANoNo12025-07-01FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Nathan BastianSyracuse Mafia (NYM)C/LW/RW281997-12-06CANNo205 Lbs6 ft4NoNoN/ANoNo12025-08-10FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nick CaamanoSyracuse Mafia (NYM)C/LW/RW271998-09-07CANNo188 Lbs6 ft0NoNoN/ANoNo12025-10-18FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Nikolai KnyzhovSyracuse Mafia (NYM)D281998-03-20RUSNo218 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Rory KerinsSyracuse Mafia (NYM)C/LW/RW232002-04-12CANYes175 Lbs5 ft10NoNoN/ANoNo12025-07-18FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Ryan McGregorSyracuse Mafia (NYM)C/LW/RW271999-01-29CANNo168 Lbs6 ft0NoNoN/ANoNo12025-10-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Sandis VilmanisSyracuse Mafia (NYM)C/LW/RW222004-01-23LATYes192 Lbs6 ft2NoNoProspectNoNo22024-07-18FalseFalsePro & Farm855,000$0$0$No855,000$--------855,000$--------No--------Lien NHL
Spencer MartinSyracuse Mafia (NYM)G301995-06-08CANNo200 Lbs6 ft3NoNoFree AgentNoNo22025-11-13FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Tim GettingerSyracuse Mafia (NYM)C/LW/RW271998-04-14USANo220 Lbs6 ft6NoNoN/ANoNo12025-10-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Tomas HamaraSyracuse Mafia (NYM)D222004-03-09CZEYes185 Lbs6 ft0NoNoProspectNoNo22024-07-18FalseFalsePro & Farm803,334$0$0$No803,334$--------803,334$--------No--------Lien NHL
Tyce ThompsonSyracuse Mafia (NYM)C/LW/RW261999-07-12CANNo178 Lbs6 ft1NoNoN/ANoNo12025-10-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Will BittenSyracuse Mafia (NYM)C/LW/RW271998-07-10CANNo167 Lbs5 ft11NoNoN/ANoNo12025-10-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Yegor SidorovSyracuse Mafia (NYM)C/LW/RW212004-06-18BLRYes183 Lbs6 ft0NoNoProspectNoNo22024-07-18FalseFalsePro & Farm865,000$0$0$No865,000$--------865,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.35190 Lbs6 ft11.27776,410$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick CaamanoNathan BastianMathias Emilio Pettersen 40122
2Yegor SidorovGrant MismashWill Bitten30122
3Rory KerinsTyce ThompsonJosiah Slavin20122
4Henry RybinskiJames MalatestaSandis Vilmanis10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovJosh Brook40122
2Anton JohanssonNate Clurman30122
3Michael BuchingerTomas Hamara20122
4Nikolai KnyzhovJosh Brook10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick CaamanoNathan BastianMathias Emilio Pettersen 60122
2Yegor SidorovGrant MismashWill Bitten40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovJosh Brook60122
2Anton JohanssonNate Clurman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianNick Caamano60122
2Mathias Emilio Pettersen Grant Mismash40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovJosh Brook60122
2Anton JohanssonNate Clurman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Bastian60122Nikolai KnyzhovJosh Brook60122
2Nick Caamano40122Anton JohanssonNate Clurman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianNick Caamano60122
2Mathias Emilio Pettersen Grant Mismash40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovJosh Brook60122
2Anton JohanssonNate Clurman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick CaamanoNathan BastianMathias Emilio Pettersen Nikolai KnyzhovJosh Brook
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick CaamanoNathan BastianMathias Emilio Pettersen Nikolai KnyzhovJosh Brook
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyce Thompson, Rory Kerins, Josiah SlavinTyce Thompson, Rory KerinsJosiah Slavin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Buchinger, Tomas Hamara, Anton JohanssonMichael BuchingerTomas Hamara, Anton Johansson
Tirs de pénalité
Nathan Bastian, Nick Caamano, Mathias Emilio Pettersen , Grant Mismash, Yegor Sidorov
Gardien
#1 : Kaapo Kahkonen, #2 : Colten Ellis
Lignes d’attaque personnalisées en prolongation
Nathan Bastian, Nick Caamano, Mathias Emilio Pettersen , Grant Mismash, Yegor Sidorov, Will Bitten, Will Bitten, Tyce Thompson, Rory Kerins, Josiah Slavin, James Malatesta
Lignes de défense personnalisées en prolongation
Nikolai Knyzhov, Josh Brook, Anton Johansson, Nate Clurman, Michael Buchinger


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
1Connecticut Royals624000001114-33030000048-43210000076140.3331119300024501704155740142473011016212.50%13192.31%010919456.19%9818353.55%498557.65%154111130417539
Total624000001114-33030000048-43210000076140.3331119300024501704155740142473011016212.50%13192.31%010919456.19%9818353.55%498557.65%154111130417539
_Since Last GM Reset624000001114-33030000048-43210000076140.3331119300024501704155740142473011016212.50%13192.31%010919456.19%9818353.55%498557.65%154111130417539
_Vs Conference624000001114-33030000048-43210000076140.3331119300024501704155740142473011016212.50%13192.31%010919456.19%9818353.55%498557.65%154111130417539
_Vs Division624000001114-33030000048-43210000076140.3331119300024501704155740142473011016212.50%13192.31%010919456.19%9818353.55%498557.65%154111130417539

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL1111930170142473011000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001114
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
303000048
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321000076
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16212.50%13192.31%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
41557402450
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
10919456.19%9818353.55%498557.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
154111130417539


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
12Syracuse Mafia3Connecticut Royals2WSommaire du match
310Syracuse Mafia2Connecticut Royals1WSommaire du match
518Connecticut Royals3Syracuse Mafia1LSommaire du match
726Connecticut Royals3Syracuse Mafia2LSommaire du match
934Syracuse Mafia2Connecticut Royals3LSommaire du match
1142Connecticut Royals2Syracuse Mafia1LXSommaire du match



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
80 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,018,666$ 2,018,666$ 2,250,000$0$
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$ 11 0$ 0$




Syracuse Mafia 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
1Mathias Emilio Pettersen 6882403065461482027361543189412.67%1401471421.3937407727340429491751.65%80.74448
2Nick Caamano640220284504682329361220180412.20%1681477723.0920486826440440162449.55%40.682868
3Yegor Sidorov719177229406-110158600935161710.95%1061355218.852844721964044312046.21%00.60832
4Will Bitten636140220360-140232872748115212.15%721179818.55406410414800012201648.09%00.611228
5Anton Johansson664922403321636892858860815.13%6921373420.6840408030400042000%00.4800

Syracuse Mafia 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
1Spencer Martin1881087280.8883.04113038057251200840.81844
2Kaapo Kahkonen1368044120.8842.9982780441235640000.61552
3Erik Portillo1216245130.8902.78728268337305402000
4Colten Ellis40141620.8962.812029019591100000
5Cayden Primeau125700.8893.10717413733400100

Syracuse Mafia 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
Saison régulière
20241647664155400512470428241318110025121536823533743002612556181512915142711019015716054480151614611473304244124189132763896616.97%4098180.20%32565509850.31%2435488549.85%1339259951.52%395427703851118321221057
20251666870083107489501-1283353504252243239483333504155246262-161824898731362461781481452641451386133313671214367124091732363937318.58%4097681.42%32448489050.06%2569509850.39%1334261750.97%389926864004121521631077
20251666870083107489501-1283353504252243239483333504155246262-161824898731362461781481452641451386133313671214367124091732363937318.58%4097681.42%32448489050.06%2569509850.39%1334261750.97%389926864004121521631077
Total Saison régulière496212204152110201414901472182481111018951047376934424810110371251010753779-26545149026614151922546453450571277042884127420727212978372127259748117521218.04%122723381.01%974611487850.15%75731508150.22%4007783351.16%11754814311860361464493212
Séries éliminatoires
2024106400000323205320000021192532000001113-212325991008131012357479811276806521622836.36%28582.14%015329052.76%14128349.82%7516744.91%2311562387313265
2025624000001114-33030000048-43210000076141119300024501704155740142473011016212.50%13192.31%010919456.19%9818353.55%498557.65%154111130417539
Total Séries éliminatoires1688000004346-3835000002527-2853000001819-1164378121001017151405115134155141812795326381026.32%41685.37%026248454.13%23946651.29%12425249.21%385267369114208105

Syracuse Mafia 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
1Jiri Kulich10571230573016.67%319619.70235300000140.00%01.2200
2John Beecher1038113416242015.00%522222.20033100002050.90%00.9900
3Nikolai Knyzhov164610-22040191526.67%2937123.2113460000100%00.5400
4Yegor Sidorov16639-761383417.65%027517.19213500002040.00%00.6500
5Lukas Cormier10448-2215191330.77%820720.7722460000020%00.7700

Syracuse Mafia 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
1Colten Ellis106400.8763.36571003225900000
2Kaapo Kahkonen62310.9012.34359001414200000
3Erik Portillo10001.0000300001700000