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Connexion

Jazz
GP: 80 | W: 18 | L: 54 | OTL: 8 | P: 44
GF: 189 | GA: 314 | PP%: 28.67% | PK%: 72.87%
DG: Nick Gutekunst | Morale : 50 | Moyenne d’équipe : 71

Centre de jeu
Hornets
44-28-8, 96pts
2
3 Jazz
18-54-8, 44pts
Team Stats
L2SéquenceL1
21-17-2Fiche domicile8-26-6
23-11-6Fiche domicile10-28-2
5-4-1Derniers 10 matchs3-7-0
3.00Buts par match 2.36
2.73Buts contre par match 3.93
24.86%Pourcentage en avantage numérique28.67%
76.06%Pourcentage en désavantage numérique72.87%
Jazz
18-54-8, 44pts
2
3 Devils
43-28-8, 94pts
Team Stats
L1SéquenceW6
8-26-6Fiche domicile24-12-4
10-28-2Fiche domicile19-16-4
3-7-0Derniers 10 matchs9-1-0
2.36Buts par match 3.47
3.93Buts contre par match 3.32
28.67%Pourcentage en avantage numérique35.07%
72.87%Pourcentage en désavantage numérique72.35%
Meneurs d'équipe
Buts
Maddison Bilcke
20
Passes
Sergey Izvolin
27
Points
Kaarl Kontturi
42
Plus/Moins
Griffith Deer
-1
Victoires
Giovanni Cremen
9
Pourcentage d’arrêts
Luis Henrich
0.887

Statistiques d’équipe
Buts pour
189
2.36 GFG
Tirs pour
1986
24.83 Avg
Pourcentage en avantage numérique
28.7%
41 GF
Début de zone offensive
30.9%
Buts contre
314
3.93 GAA
Tirs contre
2573
32.16 Avg
Pourcentage en désavantage numérique
72.9%%
70 GA
Début de la zone défensive
42.7%
Informations de l'équipe

Directeur généralNick Gutekunst
EntraîneurChrister Bjorkman
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,816
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure24
Limite contact 51 / 55
Espoirs8


Historique d'équipe

Saison actuelle18-54-8 (44PTS)
Historique179-186-29 (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
1Kaarl Kontturi58X96.009058816496997283877073619767513850780291978,000$
2Andre Corrigall (R)0X100.008635915788665793468853992949538150760202900,000$
3Damon Colclough6X100.008747757288667682897651737093364550750271700,000$
4Jared Tallon (R)21X98.008733846499847871477672487245555950740231800,000$
5Washington Banker (R)0X100.007036785585958667677756515375856350720221890,000$
6Elias Dansereau (R)14X100.009245766286627471846063757776806550710221700,000$
7Adrian Tillberg (R)0X100.0058587162638565967781645441265472507102121,000,000$
8Raphael Dupuis12X100.008963637155836870907450757384485250700241750,000$
9Griffith Deer (R)0X100.008255517464747083667339783087427650690202800,000$
10Brennan Knapp0X100.007357837442628986924965557293886150670242840,000$
11Norman Dobrescu23X100.009259618192614987896045289293576450650243750,000$
12Carter Chilson0X100.005166686964647068873462878880555350640261700,000$
13Lukas Weller (R)76X100.009743926490998859257569694091845750790231800,000$
14Manuel Albertazzi55X100.0057449776839050992577785492634041507602711,600,000$
15Jeremiah Dunin (R)59X100.008046749384858560257458578668676850760222800,000$
16Sergey Izvolin0X100.0050606792848452672586687264904438507302721,600,000$
17Val Cuming (R)4X98.008835857580515686254345677078956750660222800,000$
18Jordyn Balding (R)0X100.006848585825628058255867608536566850590231700,000$
Rayé
1Maddison Bilcke0X99.0073647073537875748689975389823740507502641,999,999$
2Dexter Lovatsis (R)0X98.005635636192805679788658444955887550700211805,000$
3Yaroslav Anokin51X99.0068896356639773682589439549539315507503211,400,000$
4Gareth Mccrary0X90.007957925570798561256657818343931507203611,450,000$
5Gosta Jorgensen12X64.055760695653505156254367876198865750590251700,000$
MOYENNE D’ÉQUIPE97.48755274687476707557706166687165555071
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
1Luis Henrich3197.005482878279729953729398438844507702641,999,000$
2Giovanni Cremen (R)0100.00799971758779495872714732667450740213800,000$
Rayé
1Ray Miinanen41100.005674637168919290645364507534507202711,227,500$
2Burt Bannon (R)0100.00586166727164599052886953287550680213800,000$
MOYENNE D’ÉQUIPE99.2562797275767775736576704564575073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Christer Bjorkman75526463989916FIN641400,000$


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
1Kaarl KontturiJazz (BLU)C70192342-5099651561811595511011.95%44157522.517613187201121314253.58%14111630000.5313346203
2Stig LundeJazz (BLU)C75132437-3311185126175122348910.66%37139418.5917810530112920049.15%10053528000.5322458220
3Maddison BilckeJazz (BLU)RW71201434-236240126107147389113.61%33126517.831346751012543150.85%1183719100.5402323210
4Dominik HajasJazz (BLU)RW65141832-241435514510616850878.33%21121918.7726812690003583046.48%2135024000.5204335231
5Andrei FlatleyBluesC40112031-274515819794464611.70%2083820.961233360000510047.51%5433320010.7402102310
6Damon ColcloughJazz (BLU)C68102131-35230939297385510.31%2686212.694596351012581051.84%4071816000.7201132114
7Sergey IzvolinJazz (BLU)D7332730-337840521349438393.19%90150620.64291111740114150000%04038000.4000206010
8Hampus OllilainenJazz (BLU)LW54171229-1567354577168499410.12%2884415.643259451016491031.37%512518000.6900142011
9Jeremiah DuninJazz (BLU)D7822527-30139451311349543272.11%80195325.0519105980000155000%03164000.2800243011
10Dexter LovatsisJazz (BLU)LW57131427-13335606071236418.31%2082114.4152710600000612156.52%461818000.6601010112
11Jared TallonJazz (BLU)RW7091524-2200807710819518.33%21102414.640113330003450039.80%981711000.4701000100
12Adrian TillbergJazz (BLU)RW40131023-142115313195234313.68%1151512.906398221011311140.48%42157020.8900102201
13Lukas WellerBluesD7612021-627251201116730351.49%100177123.310221880330127000%02151000.2400023020
14Ted DucaJazz (BLU)RW8011920-20175738170274215.71%3093811.73213228000081044.64%562125000.4300001012
15Andre CorrigallJazz (BLU)LW4581119-1055446179204510.13%1261613.693584250112460124.14%581714000.6201001021
16Layton NeveuBluesD3231518-13413523675229165.77%3979024.7213453301116300100.00%12928000.4600241000
17Val CumingJazz (BLU)D8031316-411610921106323294.76%76158719.842359680003140100%01049000.2000002001
18Norman DobrescuJazz (BLU)LW466612-19582076337321538.22%865014.140222111012370045.83%24229000.3700301000
19Jordyn BaldingJazz (BLU)D762810-235810748235995.71%31105713.92011011011133000%0631000.1900020010
20Yaroslav AnokinJazz (BLU)D40088-1315910557843315130%6696024.02011151000181000%0939000.1700669000
21Gareth MccraryJazz (BLU)D37077-1530303372177140%4274420.11011339000081000%0224000.1900213000
22Washington BankerJazz (BLU)RW72257-32028252041610.00%105047.01033023000070034.34%9909000.2800000100
23Carter ChilsonJazz (BLU)LW33325-51352830167918.75%1435010.61000000000130062.50%847000.2900100000
24Gosta JorgensenJazz (BLU)D45145-91351875187145.56%4256612.5900005000012000%0218000.1801010000
25Elias DansereauJazz (BLU)C43235-39543402611137.69%173728.67000070000110047.25%18247000.2700001000
26Griffith DeerJazz (BLU)C12213-14018101941010.53%712210.2300000000000042.59%5432000.4900000100
27Raphael DupuisJazz (BLU)RW12112-120168103710.00%01109.2400001000000050.00%421000.3600000000
28Brennan KnappJazz (BLU)C7011-300463100%1507.2400000000010044.44%1811000.3900000000
29Manuel AlbertazziJazz (BLU)D3000-1004211520%35317.780000000000000%01200000000000
Statistiques d’équipe totales ou en moyenne1500189337526-473130469018772168203067911239.31%9292507216.7141771181281076591435160617649.23%4438489610130.42318354261181817
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)4392620.8723.96219921145113448530023633130
2Luis HenrichJazz (BLU)3471960.8873.671881201151021520010.71414342213
3Ray MiinanenJazz (BLU)152900.8794.02702404739016810001035000
4Burt BannonJazz (BLU)20000.8894.194300327170000010000
Statistiques d’équipe totales ou en moyenne94185480.8793.854826813102572119041168080343


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)RW212006-12-22SWEYes173 Lbs5 ft9NoNoFree AgentNoNo22025-02-25FalseFalsePro & Farm1,000,000$100,000$4,054$No1,000,000$--------1,000,000$--------No--------
Andre CorrigallJazz (BLU)LW202007-12-15CANYes202 Lbs5 ft11NoNoDraftNoNo22025-02-25FalseFalsePro & Farm900,000$900,000$36,486$No900,000$--------900,000$--------No--------
Brennan KnappJazz (BLU)C242003-12-23CANNo189 Lbs5 ft9NoNoN/ANoNo22024-06-05FalseFalsePro & Farm840,000$84,000$3,405$No840,000$--------840,000$--------No--------
Burt BannonJazz (BLU)G212006-09-02USAYes171 Lbs5 ft9NoNoDraftNoNo32025-10-05FalseFalsePro & Farm800,000$80,000$3,243$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Carter ChilsonJazz (BLU)LW262001-01-23USANo218 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm700,000$70,000$2,838$No---------------------------
Damon ColcloughJazz (BLU)C272000-06-13USANo222 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$2,838$No---------------------------
Dexter LovatsisJazz (BLU)LW212006-11-23CANYes185 Lbs5 ft5NoNoFree AgentNoNo12025-12-02FalseFalsePro & Farm805,000$80,500$3,264$No---------------------------
Elias DansereauJazz (BLU)C222005-05-17CANYes231 Lbs6 ft7NoNoTrade2025-03-10NoNo1FalseFalsePro & Farm700,000$70,000$2,838$No---------------------------
Gareth Mccrary (sur la masse salariale)Jazz (BLU)D361991-10-15USANo232 Lbs6 ft6NoNoFree Agent2025-06-28NoNo12026-01-05FalseFalsePro & Farm1,450,000$0$0$Yes---------------------------
Giovanni CremenJazz (BLU)G212006-01-25USAYes174 Lbs5 ft5NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm800,000$80,000$3,243$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Gosta Jorgensen (sur la masse salariale)Jazz (BLU)D252002-11-05SWENo165 Lbs5 ft9NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm700,000$0$0$Yes---------------------------
Griffith DeerJazz (BLU)C202007-02-09USAYes180 Lbs6 ft3NoNoFree AgentNoNo22025-02-25FalseFalsePro & Farm800,000$80,000$3,243$No800,000$--------800,000$--------No--------
Jared TallonJazz (BLU)RW232004-07-23CANYes212 Lbs6 ft2NoNoTrade2025-03-10NoNo12024-07-04FalseFalsePro & Farm800,000$80,000$3,243$No---------------------------
Jeremiah DuninJazz (BLU)D222005-05-02CANYes189 Lbs5 ft8NoNoTrade2025-06-24NoNo22025-02-17FalseFalsePro & Farm800,000$80,000$3,243$No800,000$--------800,000$--------No--------
Jordyn BaldingJazz (BLU)D232004-08-18CANYes212 Lbs6 ft3NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm700,000$70,000$2,838$No---------------------------
Kaarl KontturiJazz (BLU)C291998-08-12FINNo173 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm978,000$97,800$3,965$No---------------------------
Luis HenrichJazz (BLU)G262001-06-06GERNo218 Lbs6 ft3NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm1,999,000$199,900$8,104$No1,999,000$1,999,000$1,999,000$------1,999,000$1,999,000$1,999,000$------NoNoNo------
Lukas WellerBluesD232004-05-15GERYes188 Lbs6 ft2NoNoTrade2026-02-17NoNo12024-07-04FalseFalsePro & Farm800,000$800,000$27,211$No---------------------------
Maddison BilckeJazz (BLU)RW262001-09-06CANNo186 Lbs5 ft10NoNoAssign Manually2025-06-27NoNo42025-10-26FalseFalsePro & Farm1,999,999$200,000$8,108$No1,999,999$1,999,999$1,999,999$------1,999,999$1,999,999$1,999,999$------NoNoNo------
Manuel AlbertazziJazz (BLU)D272000-04-26ITANo187 Lbs5 ft7NoNoFree AgentNoNo12026-03-23FalseFalsePro & Farm1,600,000$160,000$6,486$No---------------------------
Norman DobrescuJazz (BLU)LW242003-06-11ROUNo189 Lbs5 ft7NoNoN/ANoNo32024-06-05FalseFalsePro & Farm750,000$75,000$3,041$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Raphael DupuisJazz (BLU)RW242003-06-01CANNo167 Lbs5 ft9NoNoTrade2025-06-24NoNo12025-02-01FalseFalsePro & Farm750,000$75,000$3,041$No---------------------------
Ray MiinanenJazz (BLU)G272000-01-09FINNo183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,227,500$122,750$4,976$No---------------------------
Sergey IzvolinJazz (BLU)D272000-08-26RUSNo189 Lbs5 ft6NoNoTrade2025-06-27NoNo22025-02-01FalseFalsePro & Farm1,600,000$160,000$6,486$No1,600,000$--------1,600,000$--------No--------
Val CumingJazz (BLU)D222005-06-09USAYes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$3,243$No800,000$--------800,000$--------No--------
Washington BankerJazz (BLU)RW222005-05-25USAYes186 Lbs5 ft8NoNoTrade2025-10-12NoNo12025-02-26FalseFalsePro & Farm890,000$89,000$3,608$No---------------------------
Yaroslav AnokinJazz (BLU)D321995-10-20RUSNo185 Lbs5 ft6NoNoFree AgentNoNo12025-11-10FalseFalsePro & Farm1,400,000$140,000$5,676$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.48193 Lbs5 ft111.701,010,722$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hampus OllilainenKaarl KontturiMaddison Bilcke35122
2Dexter LovatsisDominik HajasJared Tallon35122
3Andre CorrigallKaarl KontturiTed Duca20122
4Damon ColcloughStig LundeAdrian Tillberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremiah DuninYaroslav Anokin35122
2Manuel AlbertazziVal Cuming35122
3Yaroslav AnokinJordyn Balding20122
4Sergey IzvolinYaroslav Anokin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hampus OllilainenKaarl KontturiMaddison Bilcke50122
2Dexter LovatsisTed DucaJared Tallon50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremiah DuninYaroslav Anokin50122
2Sergey IzvolinVal Cuming50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kaarl KontturiHampus Ollilainen50122
2Maddison BilckeDexter Lovatsis50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremiah DuninYaroslav Anokin50122
2Jordyn BaldingVal Cuming50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kaarl Kontturi50122Manuel AlbertazziYaroslav Anokin50122
2Hampus Ollilainen50122Jeremiah DuninVal Cuming50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kaarl KontturiHampus Ollilainen50122
2Jared TallonDexter Lovatsis50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordyn BaldingYaroslav Anokin50122
2Jeremiah DuninVal Cuming50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hampus OllilainenKaarl KontturiMaddison BilckeJeremiah DuninYaroslav Anokin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dexter LovatsisKaarl KontturiJared TallonJeremiah DuninVal Cuming
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ted Duca, Adrian Tillberg, Kaarl KontturiTed Duca, Adrian TillbergTed Duca
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Val Cuming, Yaroslav Anokin, Jordyn BaldingVal CumingVal Cuming, Yaroslav Anokin
Tirs de pénalité
Kaarl Kontturi, Maddison Bilcke, Jared Tallon, Hampus Ollilainen, Ted Duca
Gardien
#1 : Luis Henrich, #2 : Giovanni Cremen
Lignes d’attaque personnalisées en prolongation
Kaarl Kontturi, Maddison Bilcke, Jared Tallon, Hampus Ollilainen, Ted Duca, Adrian Tillberg, Dominik Hajas, Dexter Lovatsis, Stig Lunde, Andre Corrigall
Lignes de défense personnalisées en prolongation
Manuel Albertazzi, Yaroslav Anokin, Sergey Izvolin, Val Cuming, Jordyn Balding


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
1Auroras40400000414-102020000038-52020000016-500.0004812004383596100570715688291033135806350.00%10280.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
2Bulldogs21100000712-51010000028-61100000054120.500712190043835964457071568829722927378337.50%6350.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
3Comets2010100069-31010000026-41000100043120.50068140043835964557071568829733320393133.33%5260.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
4Crusaders20200000211-91010000025-31010000006-600.0002350043835963357071568829601542372150.00%6433.33%0652136347.84%945188250.21%588116150.65%151477718107541511749
5Devils807001001531-1640300100715-840400000816-810.06315274200438359621457071568829281939918027518.52%22863.64%0652136347.84%945188250.21%588116150.65%151477718107541511749
6Guppies40300100716-92020000039-62010010047-310.12571219104383596965707156882912744881015120.00%14471.43%1652136347.84%945188250.21%588116150.65%151477718107541511749
7Hornets825001001528-1341200100913-441300000615-950.3131525400143835961695707156882922684821939222.22%21766.67%0652136347.84%945188250.21%588116150.65%151477718107541511749
8Hydra2110000011741010000056-11100000061520.5001118290043835965757071568829672858355360.00%9188.89%0652136347.84%945188250.21%588116150.65%151477718107541511749
9Jacks41300000911-2211000008442020000017-620.250915240043835961045707156882912230638210110.00%14192.86%0652136347.84%945188250.21%588116150.65%151477718107541511749
10Kings40400000315-122020000017-62020000028-600.0003580043835968157071568829134405692500.00%8187.50%0652136347.84%945188250.21%588116150.65%151477718107541511749
11Northmen20200000412-81010000007-71010000045-100.00047110043835964057071568829812233355120.00%4175.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
12Outlaws825000012441-17412000011119-8413000001322-950.313244064004383596232570715688293089418919814857.14%331360.61%2652136347.84%945188250.21%588116150.65%151477718107541511749
13Phantoms211000009541010000034-11100000061520.500917260043835966257071568829691439408337.50%70100.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
14Rampage210001009901000010045-11100000054130.75091524004383596565707156882958165146100.00%8187.50%0652136347.84%945188250.21%588116150.65%151477718107541511749
15Rock22000000752110000003211100000043141.000712190043835962957071568829662123366116.67%9277.78%0652136347.84%945188250.21%588116150.65%151477718107541511749
16Schooners2020000024-21010000012-11010000012-100.000246004383596375707156882960246545000%10190.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
17Spartans21100000810-2110000005411010000036-320.50081523004383596705707156882964174552300.00%6266.67%0652136347.84%945188250.21%588116150.65%151477718107541511749
18Stingers2020000005-51010000002-21010000003-300.000000004383596175707156882944231732100.00%60100.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
19Vipers40301000815-72020000047-32010100048-420.2508142200438359610157071568829120285399100.00%19573.68%0652136347.84%945188250.21%588116150.65%151477718107541511749
20Wild Wings2110000036-3110000002111010000015-420.500358004383596765707156882960283055400.00%5180.00%0652136347.84%945188250.21%588116150.65%151477718107541511749
21Wolfpack40300001917-82020000028-62010000179-210.125914230043835961175707156882912842628211218.18%11372.73%0652136347.84%945188250.21%588116150.65%151477718107541511749
22Wolverines41100110151412100010011742010001047-350.625152439004383596955707156882911349691014250.00%17570.59%1652136347.84%945188250.21%588116150.65%151477718107541511749
23Yeti402010011217-5200010018802020000049-530.375122032004383596111570715688291374951865480.00%8362.50%1652136347.84%945188250.21%588116150.65%151477718107541511749
Total80145403513189314-125407260140296157-61407280211193157-64440.2751893205091143835961986570715688292573854129717831434128.67%2587072.87%5652136347.84%945188250.21%588116150.65%151477718107541511749
_Since Last GM Reset80145403513189314-125407260140296157-61407280211193157-64440.2751893205091143835961986570715688292573854129717831434128.67%2587072.87%5652136347.84%945188250.21%588116150.65%151477718107541511749
_Vs Conference5664002413121219-98284180130267105-38282220111154114-60250.22312120432511438359614205707156882917995848471294972828.87%1775270.62%5652136347.84%945188250.21%588116150.65%151477718107541511749
_Vs Division10417002012346-23527002011025-155210000001321-8110.5502339620043835962125707156882933412312819019842.11%24770.83%1652136347.84%945188250.21%588116150.65%151477718107541511749

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8044L1189320509198625738541297178311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8014543513189314
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
40726140296157
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
40728211193157
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1434128.67%2587072.87%5
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
570715688294383596
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
652136347.84%945188250.21%588116150.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
151477718107541511749


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 - 2025-11-024Outlaws8Jazz4LSommaire du match
2 - 2025-11-0315Yeti2Jazz1LXXSommaire du match
4 - 2025-11-0528Jazz1Wild Wings5LSommaire du match
6 - 2025-11-0740Wolverines5Jazz4LXSommaire du match
8 - 2025-11-0952Jazz2Kings3LSommaire du match
9 - 2025-11-1064Hornets3Jazz1LSommaire du match
11 - 2025-11-1276Kings2Jazz1LSommaire du match
13 - 2025-11-1491Jazz6Phantoms1WSommaire du match
15 - 2025-11-1699Jazz0Hornets7LSommaire du match
17 - 2025-11-18116Bulldogs8Jazz2LSommaire du match
19 - 2025-11-20132Jazz2Yeti5LSommaire du match
20 - 2025-11-21138Devils3Jazz2LXSommaire du match
22 - 2025-11-23150Wolverines2Jazz7WSommaire du match
23 - 2025-11-24160Jazz4Northmen5LSommaire du match
25 - 2025-11-26171Phantoms4Jazz3LSommaire du match
27 - 2025-11-28182Jazz1Devils5LSommaire du match
29 - 2025-11-30195Wild Wings1Jazz2WSommaire du match
30 - 2025-12-01205Jazz0Jacks2LSommaire du match
32 - 2025-12-03217Spartans4Jazz5WSommaire du match
34 - 2025-12-05230Jazz1Outlaws5LSommaire du match
36 - 2025-12-07244Wolfpack5Jazz1LSommaire du match
37 - 2025-12-08252Jazz3Spartans6LSommaire du match
39 - 2025-12-10264Vipers4Jazz3LSommaire du match
41 - 2025-12-12284Jazz4Wolfpack5LSommaire du match
43 - 2025-12-14289Jazz2Hornets0WSommaire du match
44 - 2025-12-15298Jazz0Auroras3LSommaire du match
46 - 2025-12-17311Stingers2Jazz0LSommaire du match
48 - 2025-12-19332Jazz3Vipers2WXSommaire du match
50 - 2025-12-21338Auroras4Jazz1LSommaire du match
51 - 2025-12-22349Hydra6Jazz5LSommaire du match
53 - 2025-12-24360Hornets4Jazz3LXSommaire du match
55 - 2025-12-26372Jazz0Crusaders6LSommaire du match
57 - 2025-12-28388Rampage5Jazz4LXSommaire du match
59 - 2025-12-30402Schooners2Jazz1LSommaire du match
61 - 2026-01-01417Jazz4Wolverines3WXXSommaire du match
62 - 2026-01-02421Comets6Jazz2LSommaire du match
64 - 2026-01-04433Devils5Jazz2LSommaire du match
65 - 2026-01-05443Jazz2Devils4LSommaire du match
67 - 2026-01-07457Jazz1Schooners2LSommaire du match
69 - 2026-01-09470Outlaws2Jazz1LXXSommaire du match
71 - 2026-01-11483Guppies4Jazz1LSommaire du match
72 - 2026-01-12491Jazz3Guppies4LXSommaire du match
74 - 2026-01-14502Jazz4Comets3WXSommaire du match
76 - 2026-01-16521Jazz5Outlaws9LSommaire du match
78 - 2026-01-18529Jazz6Hydra1WSommaire du match
80 - 2026-01-20546Crusaders5Jazz2LSommaire du match
82 - 2026-01-22558Rock2Jazz3WSommaire du match
83 - 2026-01-23565Outlaws7Jazz3LSommaire du match
85 - 2026-01-25584Jazz2Yeti4LSommaire du match
86 - 2026-01-26586Jazz1Jacks5LSommaire du match
88 - 2026-01-28598Jazz1Guppies3LSommaire du match
90 - 2026-01-30612Jacks2Jazz7WSommaire du match
92 - 2026-02-01627Jazz5Rampage4WSommaire du match
93 - 2026-02-02633Jacks2Jazz1LSommaire du match
95 - 2026-02-04649Jazz0Wolverines4LSommaire du match
97 - 2026-02-06664Jazz0Stingers3LSommaire du match
99 - 2026-02-08670Northmen7Jazz0LSommaire du match
101 - 2026-02-10687Vipers3Jazz1LSommaire du match
103 - 2026-02-12698Jazz0Kings5LSommaire du match
104 - 2026-02-13705Jazz0Hornets3LSommaire du match
106 - 2026-02-15718Guppies5Jazz2LSommaire du match
108 - 2026-02-17734Jazz4Rock3WSommaire du match
110 - 2026-02-19744Jazz1Vipers6LSommaire du match
111 - 2026-02-20748Yeti6Jazz7WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
114 - 2026-02-23774Jazz3Wolfpack4LXXSommaire du match
116 - 2026-02-25780Jazz5Bulldogs4WSommaire du match
118 - 2026-02-27795Kings5Jazz0LSommaire du match
120 - 2026-03-01809Hornets4Jazz2LSommaire du match
122 - 2026-03-03825Jazz3Outlaws7LSommaire du match
124 - 2026-03-05832Jazz3Devils4LSommaire du match
125 - 2026-03-06840Devils4Jazz2LSommaire du match
127 - 2026-03-08848Jazz1Auroras3LSommaire du match
128 - 2026-03-09858Wolfpack3Jazz1LSommaire du match
131 - 2026-03-12869Devils3Jazz1LSommaire du match
132 - 2026-03-13882Outlaws2Jazz3WSommaire du match
134 - 2026-03-15894Auroras4Jazz2LSommaire du match
137 - 2026-03-18905Jazz4Hornets5LSommaire du match
139 - 2026-03-20921Jazz4Outlaws1WSommaire du match
141 - 2026-03-22931Hornets2Jazz3WSommaire du match
142 - 2026-03-23938Jazz2Devils3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,88837,761
Assistance PCT93.61%94.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2816 - 93.87% 83,672$3,346,868$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,993,306$ 3,714,250$ 3,714,250$ 400,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,714,250$ 2,993,306$ 28 2

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 27,799$ 166,794$




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
3Ray Miinanen45181650.9062.892447401181254592410.6005
4Giovanni Cremen4392620.8723.9621992114511344853002
5Burt Bannon20000.8894.194300327170000

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
Total Saison régulière40014718601824141110801224-1442007495081076538598-6020073910101475542626-8439310801797287781126040838041115153451389640711831252341744408964777421928.29%104827373.95%293947773951.00%4242810352.35%2870556151.61%815844928638370074033666
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