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Jazz
GP: 66 | W: 31 | L: 27 | OTL: 8 | P: 70
GF: 204 | GA: 226 | PP%: 24.68% | PK%: 77.27%
DG: Joe Larson | Morale : 50 | Moyenne d’équipe : 72
Prochains matchs #861 vs Spartans

Centre de jeu
Rock
23-39-4, 50pts
1
2 Jazz
31-27-8, 70pts
Team Stats
L1SéquenceL1
12-19-1Fiche domicile18-13-3
11-20-3Fiche domicile13-14-5
2-6-2Derniers 10 matchs7-3-0
2.61Buts par match 3.09
3.36Buts contre par match 3.42
14.60%Pourcentage en avantage numérique24.68%
80.75%Pourcentage en désavantage numérique77.27%
Jazz
31-27-8, 70pts
2
4 Rampage
35-25-7, 77pts
Team Stats
L1SéquenceW2
18-13-3Fiche domicile19-9-3
13-14-5Fiche domicile16-16-4
7-3-0Derniers 10 matchs5-3-2
3.09Buts par match 3.16
3.42Buts contre par match 2.90
24.68%Pourcentage en avantage numérique21.18%
77.27%Pourcentage en désavantage numérique74.23%
Jazz
31-27-8, 70pts
2026-10-08
Spartans
26-25-15, 67pts
Statistiques d’équipe
L1SéquenceW1
18-13-3Fiche domicile14-13-7
13-14-5Fiche visiteur12-12-8
7-3-010 derniers matchs4-4-2
3.09Buts par match 2.95
3.42Buts contre par match 2.95
24.68%Pourcentage en avantage numérique22.56%
77.27%Pourcentage en désavantage numérique77.89%
Hydra
34-25-7, 75pts
2026-10-09
Jazz
31-27-8, 70pts
Statistiques d’équipe
W1SéquenceL1
17-12-2Fiche domicile18-13-3
17-13-5Fiche visiteur13-14-5
5-4-110 derniers matchs7-3-0
2.94Buts par match 3.09
2.97Buts contre par match 3.09
21.53%Pourcentage en avantage numérique24.68%
75.00%Pourcentage en désavantage numérique77.27%
Jazz
31-27-8, 70pts
2026-10-11
Hydra
34-25-7, 75pts
Statistiques d’équipe
L1SéquenceW1
18-13-3Fiche domicile17-12-2
13-14-5Fiche visiteur17-13-5
7-3-010 derniers matchs5-4-1
3.09Buts par match 2.94
3.42Buts contre par match 2.94
24.68%Pourcentage en avantage numérique21.53%
77.27%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Dominik Hajas
24
Passes
Dominik Hajas
31
Points
Dominik Hajas
55
Plus/Moins
Xander Henry
10
Victoires
Giovanni Cremen
19
Pourcentage d’arrêts
Magnus Pimm
0.904

Statistiques d’équipe
Buts pour
204
3.09 GFG
Tirs pour
1851
28.05 Avg
Pourcentage en avantage numérique
24.7%
38 GF
Début de zone offensive
35.7%
Buts contre
226
3.42 GAA
Tirs contre
2115
32.05 Avg
Pourcentage en désavantage numérique
77.3%%
20 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralJoe Larson
EntraîneurAleksandar Elfstrom
DivisionSoutheast
ConférenceEastern Conference
CapitaineXander Henry
Assistant #1Val Cuming
Assistant #2Tavish Duhatschek


Informations de l’aréna

Capacité5,000
Assistance4,742
Billets de saison1,250


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite Contrat51 / 55
Espoirs9


Historique d'équipe

Saison actuelle31-27-8 (70PTS)
Historique210-213-40 (0.454%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)13 - 15 (0.464%)
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
1Dominik Hajas (R)0X100.007665429678928556657182828678696950770212900,000$
2Forester OCorley9X100.0061588494798083529156926661425713507503321,320,000$
3Korey Maciag87X100.006344757499995082738664368768843350740291984,000$
4Romeo Rocca22X100.0083667785696168695253939640683519507303111,400,000$
5Von Holtston0X100.003367926399996092725568663394794750730282930,000$
6Torsten Orsa66X100.008143607092618285647459606160622250720331700,000$
7Rafael Jewitt38X100.0039548467515870837584828585934514507203331,300,000$
8Pyotr Gach16X100.005848897656965387808435774537763550720282890,000$
9Xander Henry (C)10X100.007561818398905289925065485799963150720303900,000$
10Vince Herriot90X100.007850848895698756704765787053782150720322700,000$
11Noa Mustajarvi (R)0X100.008749717872886857647248914763356850720213800,000$
12Adrian Tillberg (R)0X100.0057587161628565967781635241265467507102211,000,000$
13Jeremiah Dunin (R)59X100.008146739587888762257558598668676350760231800,000$
14Felix-Nicolas Curatolo (R)0X100.005252589892677690254278563256477150720213800,000$
15Karl-Erik Vestin (R)0X100.006563667375787573516960817058677450720203900,000$
16Jaxson Sergerie75X100.009752766754797361257743736949813550700302980,000$
17Daxton Wentworth46X100.00486473889261495625676181774241450700361700,000$
18Christian Cannan5X100.0051359583776274872571527674368410507003421,100,000$
Rayé
1Tavish Duhatschek (A)7X97.00534199735775786262956767765489850730342700,000$
2Dexter Lovatsis (R)0X100.0056356361928056797886574449558872507002211,168,142$
3Griffith Deer (R)0X100.008255517464747083667339783087427650690211800,000$
4Brennan Knapp0X100.007357837442628986924965557293886150670251840,000$
5Norman Dobrescu23X100.009259608192614987896044279293576150650252750,000$
6Sergey Izvolin0X100.0049606692858653692587687264904432507302811,600,000$
7Martti-Veikko Survonen34X100.004648977158688268258468725759623150690302700,000$
8Anatoliy Potochnyak63X100.008567987469547163254462703685722850680301860,000$
9Val Cuming (R) (A)4X100.008835867780535887254346677078956250670231800,000$
MOYENNE D’ÉQUIPE99.89675376787775697557686267626666425071
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
1Magnus Pimm34100.006594838396578154917387504726507803121,485,000$
2Giovanni Cremen (R)0100.00809972768780525874724732666950750222800,000$
Rayé
1Oszkar Kardos33100.00636077748873807055639271552650700311820,000$
2Burt Bannon (R)0100.00586166727164599052886953287550680222800,000$
MOYENNE D’ÉQUIPE100.0067797576866968686874745249495073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Aleksandar Elfstrom90539888425846SWE541800,000$


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
1Dominik HajasJazz (BLU)RW58243155-21927016795166428914.46%43120820.8474112297000062348.28%1455831000.9114554464
2Korey MaciagJazz (BLU)C61212950-7758694180439811.67%19115318.917101717920111461149.95%10932410000.8700100223
3Tavish DuhatschekJazz (BLU)LW56152843-112715256799354315.15%22104018.581788731012411335.62%731823000.8322102111
4Forester OCorleyJazz (BLU)RW63171936-531256496108486015.74%38126520.0948126106000056050.31%1634129000.5704113212
5Xander HenryJazz (BLU)C511917361027255953146317713.01%1561011.981239300002183156.95%453274001.1801131313
6Maddison BilckeBluesC28102030-186250474380215612.50%957220.451895540000173049.69%6421111001.0503541101
7Sergey IzvolinJazz (BLU)D5142327-3954537807323295.48%60105120.612131159000035000%02146000.5100252112
8Von HoltstonJazz (BLU)LW57131427-86240972111357511.71%2084414.821346490001234143.59%781418000.6402116200
9Romeo RoccaJazz (BLU)LW4521425-271551047084305725.00%2477617.274046570000373238.60%571715110.6400362421
10Pyotr GachJazz (BLU)LW62131225-11002862103375212.62%1880212.940220110001233042.50%401819000.6201000000
11Rafael JewittJazz (BLU)C47101323-141010125779225412.66%2051911.050220150000110055.49%355107000.8900011120
12Felix-Nicolas CuratoloJazz (BLU)D6351823-1280408311211146424.50%71143122.73426999000050000%04025000.3201206000
13Torsten OrsaJazz (BLU)C5761319-423580587631517.89%1467911.921121290001260143.54%5262113000.5600100101
14Jeremiah DuninJazz (BLU)D6201919-1172301661036127370%75153524.770222109000050000%03547000.2500024001
15Noa MustajarviJazz (BLU)RW6671118-1018101581047619429.21%15102315.510222380000122144.00%75932000.3500002022
16Adrian TillbergJazz (BLU)RW337512-195211244113115.91%63039.1900002000000160.00%1090000.7900001010
17Karl-Erik VestinJazz (BLU)D5401111-8815573824317250%61101018.71000248000028000%01536000.2200326001
18Jaxson SergerieJazz (BLU)D49099-1632301281012817140%6295619.52033249011045000%0729000.1900303012
19Christian CannanJazz (BLU)D33268-8005332210149.09%2055016.68202227000017100%0826000.2900000001
20Daxton WentworthJazz (BLU)D48167-1315151659281283.57%5069414.47112312000025000%01034000.2000111011
21Stanislav BudajBluesLW15437-29512104411239.09%419112.79213428000021046.15%2634000.7300100010
22Vince HerriotJazz (BLU)LW61246-67560312111209.52%115148.4300000000000125.00%12412000.2300100000
23Arvi-Antti AhokariBluesD29055-7252548493011120%2667423.27000160000023000%0929000.1500104000
24Dexter LovatsisJazz (BLU)LW10134-32151181610106.25%112712.80011112000000033.33%623000.6300100010
25Griffith DeerJazz (BLU)C131230602415145137.14%413610.4900000000000045.00%6013000.4400000000
26Martti-Veikko SurvonenJazz (BLU)D7011100020010%1334.780000000001000%000000.6000000000
27Brennan KnappJazz (BLU)C9000-2001278470%0839.3100000000010068.75%161000000000000
Statistiques d’équipe totales ou en moyenne1188203326529-192882570153515751851609104010.97%7091979416.6638609811911671238555301549.45%3830433506110.53318343149222326
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
1Giovanni CremenJazz (BLU)48191870.8893.432660211521375630010.462134719420
2Magnus PimmJazz (BLU)1910810.9043.301110006163535911001916120
3Burt BannonJazz (BLU)113400.9003.074692024240139001.0005434000
Statistiques d’équipe totales ou en moyenne78323080.8953.354240412372250112812187069540


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adrian TillbergJazz (BLU)RW222006-12-22SWEYes173 Lbs5 ft9NoNoFree AgentNoNo12025-02-25FalseFalsePro & Farm1,000,000$100,000$21,088$No---------------------------
Anatoliy PotochnyakJazz (BLU)D301998-01-16UKRNo190 Lbs6 ft1NoNoFree Agent2024-02-22NoNo12026-06-06FalseFalsePro & Farm860,000$86,000$18,136$No---------------------------
Brennan KnappJazz (BLU)C252003-12-23CANNo189 Lbs5 ft9NoNoN/ANoNo12024-06-05FalseFalsePro & Farm840,000$84,000$17,714$No---------------------------
Burt BannonJazz (BLU)G222006-09-02USAYes171 Lbs5 ft9NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$16,871$No800,000$--------800,000$--------No--------
Christian CannanJazz (BLU)D341994-11-09CANNo187 Lbs6 ft3NoNoFree Agent2024-11-16NoNo22026-06-06FalseFalsePro & Farm1,100,000$110,000$23,197$No1,100,000$--------1,100,000$--------No--------
Daxton WentworthJazz (BLU)D361992-06-23CANNo245 Lbs6 ft4NoNoFree Agent2025-06-28NoNo12026-06-06FalseFalsePro & Farm700,000$70,000$14,762$No---------------------------
Dexter LovatsisJazz (BLU)LW222006-11-23CANYes185 Lbs5 ft5NoNoFree AgentNoNo12026-06-07FalseFalsePro & Farm1,168,142$116,814$24,634$No---------------------------
Dominik HajasJazz (BLU)RW212007-08-07SVKYes177 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$18,980$No900,000$--------900,000$--------No--------
Felix-Nicolas CuratoloJazz (BLU)D212007-05-12CANYes190 Lbs5 ft9NoNoProspectNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$16,871$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Forester OCorleyJazz (BLU)RW331995-11-01USANo243 Lbs6 ft4NoNoFree AgentNoNo22026-06-06FalseFalsePro & Farm1,320,000$132,000$27,837$No1,320,000$--------1,320,000$--------No--------
Giovanni CremenJazz (BLU)G222006-01-25USAYes174 Lbs5 ft5NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm800,000$80,000$16,871$No800,000$--------800,000$--------No--------
Griffith DeerJazz (BLU)C212007-02-09USAYes180 Lbs6 ft3NoNoFree AgentNoNo12025-02-25FalseFalsePro & Farm800,000$80,000$16,871$No---------------------------
Jaxson SergerieJazz (BLU)D301998-04-08CANNo201 Lbs6 ft8NoNoFree AgentNoNo22026-06-06FalseFalsePro & Farm980,000$98,000$20,667$No980,000$--------980,000$--------No--------
Jeremiah DuninJazz (BLU)D232005-05-02CANYes189 Lbs5 ft8NoNoTrade2025-06-24NoNo12025-02-17FalseFalsePro & Farm800,000$80,000$16,871$No---------------------------
Karl-Erik VestinJazz (BLU)D202008-12-27SWEYes177 Lbs5 ft10NoNoDraftNoNo32026-06-09FalseFalsePro & Farm900,000$90,000$18,980$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Korey MaciagJazz (BLU)C291999-03-25USANo176 Lbs5 ft10NoNoFree AgentNoNo12026-06-08FalseFalsePro & Farm984,000$98,400$20,751$No---------------------------
Magnus PimmJazz (BLU)G311997-02-07CANNo217 Lbs6 ft2NoNoFree Agent2025-10-22NoNo22026-08-03FalseFalsePro & Farm1,485,000$148,500$31,316$No1,485,000$--------1,485,000$--------No--------
Martti-Veikko SurvonenJazz (BLU)D301998-05-16FINNo216 Lbs6 ft2NoNoFree AgentNoNo22026-06-06FalseFalsePro & Farm700,000$70,000$14,762$No700,000$--------700,000$--------No--------
Noa MustajarviJazz (BLU)RW212007-09-11FINYes209 Lbs6 ft6NoNoProspectNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$16,871$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Norman DobrescuJazz (BLU)LW252003-06-11ROUNo189 Lbs5 ft7NoNoN/ANoNo22024-06-05FalseFalsePro & Farm750,000$75,000$15,816$No750,000$--------750,000$--------No--------
Oszkar KardosJazz (BLU)G311997-09-24HUNNo184 Lbs6 ft3NoNoFree Agent2024-01-25NoNo12026-09-17FalseFalsePro & Farm820,000$82,000$17,293$No---------------------------
Pyotr GachJazz (BLU)LW282000-06-06RUSNo224 Lbs6 ft6NoNoFree AgentNoNo22026-06-06FalseFalsePro & Farm890,000$89,000$18,769$No890,000$--------890,000$--------No--------
Rafael JewittJazz (BLU)C331995-08-19CANNo238 Lbs6 ft6NoNoFree Agent2024-11-06NoNo32026-06-06FalseFalsePro & Farm1,300,000$130,000$27,415$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------
Romeo RoccaJazz (BLU)LW311997-04-03CANNo207 Lbs6 ft6NoNoAssign Manually2025-06-24NoNo12026-05-02FalseFalsePro & Farm1,400,000$140,000$29,524$No---------------------------
Sergey IzvolinJazz (BLU)D282000-08-26RUSNo189 Lbs5 ft6NoNoTrade2025-06-27NoNo12025-02-01FalseFalsePro & Farm1,600,000$160,000$33,741$No---------------------------
Tavish DuhatschekJazz (BLU)LW341994-07-05CANNo190 Lbs5 ft8NoNoFree AgentNoNo22026-06-06FalseFalsePro & Farm700,000$70,000$14,762$No700,000$--------700,000$--------No--------
Torsten OrsaJazz (BLU)C331995-09-16FINNo182 Lbs5 ft5NoNoFree Agent2024-02-17NoNo12026-06-08FalseFalsePro & Farm700,000$70,000$14,762$No---------------------------
Val CumingJazz (BLU)D232005-06-09USAYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$16,871$No---------------------------
Vince HerriotJazz (BLU)LW321996-09-03USANo188 Lbs6 ft3NoNoFree AgentNoNo22026-06-06FalseFalsePro & Farm700,000$70,000$14,762$No700,000$--------700,000$--------No--------
Von HoltstonJazz (BLU)LW282000-04-20USANo190 Lbs6 ft0NoNoFree AgentNoNo22026-06-06FalseFalsePro & Farm930,000$93,000$19,612$No930,000$--------930,000$--------No--------
Xander HenryJazz (BLU)C301998-05-10CANNo173 Lbs5 ft6NoNoFree Agent2025-06-27NoNo32026-06-06FalseFalsePro & Farm900,000$90,000$18,980$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3127.39195 Lbs6 ft01.74942,811$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Romeo RoccaKorey MaciagDominik Hajas35122
2Von HoltstonTorsten OrsaForester OCorley35122
3Pyotr GachRafael JewittNoa Mustajarvi20122
4Vince HerriotXander HenryAdrian Tillberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremiah DuninFelix-Nicolas Curatolo35122
2Karl-Erik VestinJaxson Sergerie35122
3Daxton WentworthChristian Cannan20122
4Jeremiah DuninFelix-Nicolas Curatolo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Romeo RoccaKorey MaciagDominik Hajas50122
2Von HoltstonTorsten OrsaForester OCorley50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremiah DuninFelix-Nicolas Curatolo50122
2Karl-Erik VestinJaxson Sergerie50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Korey MaciagRomeo Rocca50122
2Torsten OrsaVon Holtston50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremiah DuninFelix-Nicolas Curatolo50122
2Karl-Erik VestinJaxson Sergerie50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Korey Maciag50122Jeremiah DuninFelix-Nicolas Curatolo50122
2Torsten Orsa50122Karl-Erik VestinJaxson Sergerie50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Korey MaciagRomeo Rocca50122
2Torsten OrsaVon Holtston50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremiah DuninFelix-Nicolas Curatolo50122
2Karl-Erik VestinJaxson Sergerie50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Romeo RoccaKorey MaciagDominik HajasJeremiah DuninFelix-Nicolas Curatolo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Von HoltstonTorsten OrsaForester OCorleyKarl-Erik VestinJaxson Sergerie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Von Holtston, Noa Mustajarvi, Pyotr GachVon Holtston, Noa MustajarviVon Holtston
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jaxson Sergerie, Daxton Wentworth, Christian CannanJaxson SergerieJaxson Sergerie, Daxton Wentworth
Tirs de pénalité
Dominik Hajas, Forester OCorley, Korey Maciag, Romeo Rocca, Von Holtston
Gardien
#1 : Magnus Pimm, #2 : Giovanni Cremen, #3 : 0
Lignes d’attaque personnalisées en prolongation
Dominik Hajas, Forester OCorley, Korey Maciag, Romeo Rocca, Von Holtston, Noa Mustajarvi, Pyotr Gach, Vince Herriot, Torsten Orsa, Rafael Jewitt
Lignes de défense personnalisées en prolongation
Jeremiah Dunin, Felix-Nicolas Curatolo, Karl-Erik Vestin, Jaxson Sergerie, Daxton Wentworth


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
1Auroras2010100069-3100010004311010000026-420.5006101600478564106956167858346632317377228.57%10100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
2Bulldogs3010110079-22010100067-11000010012-130.5007121900478564106656167858346803014637114.29%20100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
3Comets3110100011101210010008531010000035-240.667111627004785641084561678583461034226584125.00%8450.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
4Crusaders11000000541110000005410000000000021.00057120047856410455616785834629107253133.33%10100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
5Devils11000000321110000003210000000000021.0003580047856410295616785834635182425100.00%20100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
6Drillers2020000069-31010000024-21010000045-100.0006101600478564106556167858346792737464125.00%110.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
7Guppies2010100056-1100010003211010000024-220.500510150047856410725616785834659141251500.00%10100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
8Hornets210000017701000000134-11100000043130.750710170047856410585616785834675188456233.33%40100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
9Hydra320000101266100000105412200000072561.00012193101478564107656167858346863526708337.50%3166.67%0677134650.30%724141851.06%493101048.81%133473014566001216619
10Jacks20200000711-41010000036-31010000045-100.0007111800478564107056167858346793318453266.67%40100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
11Kings20001001880100010005411000000134-130.7508122000478564105756167858346642233464375.00%40100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
12Northmen32100000101002110000067-11100000043140.66710172700478564108456167858346106264962600.00%20100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
13Outlaws211000001011-1110000006511010000046-220.5001017271047856410545616785834679217475240.00%10100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
14Phantoms210010001082100010005411100000054141.0001018280047856410415616785834661172425360.00%10100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
15Rampage623001001920-131200000912-331100100108250.417193251004785641017356167858346236851261516466.67%8275.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
16Rock530011001165320001005412100100062490.900111526004785641014056167858346133407914116212.50%11190.91%0677134650.30%724141851.06%493101048.81%133473014566001216619
17Schooners422000001013-32110000048-42110000065140.5001013230047856410134561678583461092694931200.00%20100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
18Spartans2010000157-21000000123-11010000034-110.25057120047856410625616785834662231944100.00%20100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
19Stingers30200100613-71010000013-220100100510-510.1676111700478564107956167858346824639781200.00%2150.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
20Swamp Puppies633000001924-52020000049-5431000001515060.5001932510047856410158561678583462026811912619421.05%7442.86%0677134650.30%724141851.06%493101048.81%133473014566001216619
21Vipers2110000036-3110000002111010000015-420.500347004785641040561678583466822205411100.00%5180.00%1677134650.30%724141851.06%493101048.81%133473014566001216619
22Wild Wings312000008801010000034-12110000054120.3338122000478564107456167858346621527729333.33%6350.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
23Wolfpack1010000024-21010000024-20000000000000.00023500478564102256167858346421039263266.67%20100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
24Wolverines2010000146-21010000012-11000000134-110.2504610004785641044561678583466422945400.00%20100.00%0677134650.30%724141851.06%493101048.81%133473014566001216619
25Yeti211000001091110000005231010000057-220.50010172700478564105556167858346571635433133.33%6266.67%0677134650.30%724141851.06%493101048.81%133473014566001216619
Total66232707414204226-2234111306112102113-1132121401302102113-11700.5302043265301147856410185156167858346211570988615351543824.68%882077.27%1677134650.30%724141851.06%493101048.81%133473014566001216619
_Since Last GM Reset66232707414204226-2234111306112102113-1132121401302102113-11700.5302043265301147856410185156167858346211570988615351543824.68%882077.27%1677134650.30%724141851.06%493101048.81%133473014566001216619
_Vs Conference42171603411123130-72179021115870-12211070130065605470.560123193316014785641011755616785834612904466259831031918.45%541670.37%0677134650.30%724141851.06%493101048.81%133473014566001216619
_Vs Division131060121040391634001101721-47720110023185261.000406410401478564103555616785834644816518031019736.84%15380.00%0677134650.30%724141851.06%493101048.81%133473014566001216619

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6670L120432653018512115709886153511
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6623277414204226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3411136112102113
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3212141302102113
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1543824.68%882077.27%1
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
5616785834647856410
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
677134650.30%724141851.06%493101048.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
133473014566001216619


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
1 - 2026-06-146Jazz4Rock1WSommaire du match
3 - 2026-06-1625Jazz1Schooners2LSommaire du match
5 - 2026-06-1834Spartans3Jazz2LXXSommaire du match
6 - 2026-06-1951Jazz3Stingers7LSommaire du match
8 - 2026-06-2158Outlaws5Jazz6WSommaire du match
9 - 2026-06-2268Rampage4Jazz2LSommaire du match
12 - 2026-06-2587Kings4Jazz5WXSommaire du match
13 - 2026-06-26102Jazz1Wild Wings3LSommaire du match
15 - 2026-06-28112Jazz2Rampage3LXSommaire du match
17 - 2026-06-30125Jazz1Bulldogs2LXSommaire du match
19 - 2026-07-02139Drillers4Jazz2LSommaire du match
20 - 2026-07-03147Northmen4Jazz1LSommaire du match
22 - 2026-07-05162Wolfpack4Jazz2LSommaire du match
23 - 2026-07-06172Crusaders4Jazz5WSommaire du match
26 - 2026-07-09189Jazz2Auroras6LSommaire du match
27 - 2026-07-10200Guppies2Jazz3WXSommaire du match
29 - 2026-07-12214Jazz2Hydra0WSommaire du match
30 - 2026-07-13222Jazz4Drillers5LSommaire du match
32 - 2026-07-15237Schooners1Jazz3WSommaire du match
34 - 2026-07-17257Jazz3Spartans4LSommaire du match
36 - 2026-07-19266Jazz4Jacks5LSommaire du match
38 - 2026-07-21285Jazz4Wild Wings1WSommaire du match
40 - 2026-07-23296Auroras3Jazz4WXSommaire du match
41 - 2026-07-24305Rock2Jazz1LXSommaire du match
43 - 2026-07-26316Hornets4Jazz3LXXSommaire du match
45 - 2026-07-28332Jazz3Comets5LSommaire du match
46 - 2026-07-29344Jazz5Swamp Puppies3WSommaire du match
48 - 2026-07-31357Hydra4Jazz5WXXSommaire du match
50 - 2026-08-02374Jazz5Schooners3WSommaire du match
52 - 2026-08-04388Wild Wings4Jazz3LSommaire du match
53 - 2026-08-05393Northmen3Jazz5WSommaire du match
55 - 2026-08-07410Swamp Puppies4Jazz3LSommaire du match
57 - 2026-08-09423Bulldogs4Jazz5WXSommaire du match
59 - 2026-08-11439Jazz3Kings4LXXSommaire du match
61 - 2026-08-13451Jazz4Outlaws6LSommaire du match
62 - 2026-08-14462Schooners7Jazz1LSommaire du match
64 - 2026-08-16481Jazz5Yeti7LSommaire du match
66 - 2026-08-18491Jazz4Northmen3WSommaire du match
67 - 2026-08-19499Jazz6Rampage1WSommaire du match
69 - 2026-08-21511Swamp Puppies5Jazz1LSommaire du match
71 - 2026-08-23524Rock1Jazz2WSommaire du match
72 - 2026-08-24537Jacks6Jazz3LSommaire du match
74 - 2026-08-26549Wolverines2Jazz1LSommaire du match
76 - 2026-08-28563Stingers3Jazz1LSommaire du match
78 - 2026-08-30583Jazz2Stingers3LXSommaire du match
79 - 2026-08-31586Jazz2Guppies4LSommaire du match
81 - 2026-09-02602Rampage4Jazz6WSommaire du match
83 - 2026-09-04622Jazz5Swamp Puppies3WSommaire du match
85 - 2026-09-06630Jazz4Hornets3WSommaire du match
87 - 2026-09-08647Bulldogs3Jazz1LSommaire du match
89 - 2026-09-10658Jazz5Phantoms4WSommaire du match
90 - 2026-09-11667Phantoms4Jazz5WXSommaire du match
92 - 2026-09-13680Vipers1Jazz2WSommaire du match
94 - 2026-09-15700Jazz3Wolverines4LXXSommaire du match
96 - 2026-09-17710Rampage4Jazz1LSommaire du match
97 - 2026-09-18721Jazz3Swamp Puppies2WSommaire du match
99 - 2026-09-20731Devils2Jazz3WSommaire du match
100 - 2026-09-21742Jazz5Hydra2WSommaire du match
103 - 2026-09-24762Jazz2Rock1WXSommaire du match
104 - 2026-09-25773Jazz2Swamp Puppies7LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27786Jazz1Vipers5LSommaire du match
108 - 2026-09-29795Comets1Jazz2WXSommaire du match
109 - 2026-09-30803Yeti2Jazz5WSommaire du match
111 - 2026-10-02819Comets4Jazz6WSommaire du match
113 - 2026-10-04832Rock1Jazz2WSommaire du match
114 - 2026-10-05843Jazz2Rampage4LSommaire du match
117 - 2026-10-08861Jazz-Spartans-
118 - 2026-10-09868Hydra-Jazz-
120 - 2026-10-11879Jazz-Hydra-
122 - 2026-10-13896Jazz-Rock-
124 - 2026-10-15908Swamp Puppies-Jazz-
125 - 2026-10-16914Jazz-Devils-
128 - 2026-10-19942Jazz-Wolfpack-
131 - 2026-10-22956Hydra-Jazz-
132 - 2026-10-23962Rock-Jazz-
134 - 2026-10-25971Jazz-Crusaders-
139 - 2026-10-301004Jazz-Rampage-
142 - 2026-11-021019Jazz-Hydra-
143 - 2026-11-031023Swamp Puppies-Jazz-
145 - 2026-11-051035Rampage-Jazz-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3515
Assistance97,01664,206
Assistance PCT95.11%94.42%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
6 4742 - 94.84% 166,654$5,666,246$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,918,796$ 2,922,714$ 2,922,714$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,922,714$ 2,287,485$ 31 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
999,926$ 31 25,325$ 785,075$




Jazz 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
1Kearney OMulhill233669416053055072766819.69%84394516.9317244152202614649.42%30.8127
2Steven Pinsonneault2375988147713950848257210.31%105461519.47152843371231211348.50%00.6457
3Damon Colclough3854994143-201536175055588.78%114505313.1341014921356154.76%00.5713
4Fyodor Romantsev215775513254628040161212.58%120418119.45141731586172110455.52%00.6301
5Dominic Burry27116100116112874553973664.37%325634523.41112536320555210%00.3700

Jazz 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
1Luis Henrich2098699170.9043.061198112361163663425750.75641
2Sergio Bazzani1326645110.9122.637492107328373423241020.73738
3Giovanni Cremen91284490.8823.6748604229725091115310.40015
4Ray Miinanen45181650.9062.892447401181254592410.6005
5Magnus Pimm1910810.9043.30111000616353591100

Jazz 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
1803823058332392063340211302112120100204017100372111910613103239394633137081808246683279481147237881787520381514529.80%1723480.23%3808155851.86%799146154.69%592110453.62%170297216827331470719
280412901243249220294020170011112311674021120113212610422972494146631458104827254577185589452242879685618691755129.14%2287069.30%7881168952.16%824156952.52%602112553.51%1740101316487321450711
38030340635220520504014160324110598740161803111100107-7872053335381247717614228366777383035250082364620661685532.74%1874575.94%4791154251.30%800155751.38%522105249.62%162188017227431505748
480244603610198279-814012230221094127-3340122301400104152-4862198336534414269836223561175984820264488473418911372719.71%2035473.40%10815158751.35%874163453.49%566111950.58%157884717737361465738
580145403513189314-125407260140296157-61407280211193157-64441893205091143835961986570715688292573854129717831434128.67%2587072.87%5652136347.84%945188250.21%588116150.65%151477718107541511749
666232707414204226-2234111306112102113-1132121401302102113-11702043265301147856410185156167858346211570988615351543824.68%882077.27%1677134650.30%724141851.06%493101048.81%133473014566001216619
Total Saison régulière46617021302528151512841450-166234851080141188640711-71232851050111777644739-95463128421233407912307493444511336640124574465422914638488352941118292825727.69%113629374.21%304624908550.90%4966952152.16%3363657151.18%9493522210095430186194286
Séries éliminatoires
11165000002829-1642000001718-15230000011110122848760096130330124102104036010811823314642.86%29582.76%014324857.66%10320450.49%7014847.30%2251282459818993
2514000001018-830300000512-72110000056-121015251017201354749336167436110716531.25%13376.92%06511556.52%418946.07%306744.78%10659109459044
31266000002127-6651000001510561500000617-1112213758104114226485987563561148330424625.00%28389.29%09019645.92%11522950.22%6612951.16%219103269117238119
Total Séries éliminatoires281315000005974-151596000003740-31349000002234-12265910015920142419272925624921212883265262644541731.48%701184.29%029855953.31%25952249.62%16634448.26%551292623261518257

Jazz 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
1Kearney OMulhill28101121-25256356315.87%1449517.70505800012044.93%10.8500
2Bill Brelih112911-251319385.26%922220.25033200000142.86%00.9900
3Wesley Groulx115510-11421292123.81%424822.60022100002155.60%00.8000
4Bradley Filice285510-31037414411.36%1036713.13011000010059.09%00.5400
5Damon Colclough284610-4135836557.27%940614.50112400021054.58%00.4900

Jazz 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
1Sergio Bazzani2412920.9232.38141200567264561100
2Luis Henrich51310.8973.472770016155901100