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Jazz
GP: 18 | W: 3 | L: 12 | OTL: 3 | P: 9
GF: 43 | GA: 71 | PP%: 29.03% | PK%: 75.93%
DG: Nick Gutekunst | Morale : 50 | Moyenne d’équipe : 71
Prochains matchs #217 vs Spartans

Centre de jeu
Wild Wings
9-7-0, 18pts
1
2 Jazz
3-12-3, 9pts
Team Stats
L1SéquenceL1
4-4-0Fiche domicile2-5-3
5-3-0Fiche domicile1-7-0
5-5-0Derniers 10 matchs2-7-1
3.38Buts par match 2.39
3.06Buts contre par match 3.94
22.58%Pourcentage en avantage numérique29.03%
78.13%Pourcentage en désavantage numérique75.93%
Jazz
3-12-3, 9pts
0
2 Jacks
5-10-3, 13pts
Team Stats
L1SéquenceW1
2-5-3Fiche domicile4-5-2
1-7-0Fiche domicile1-5-1
2-7-1Derniers 10 matchs2-7-1
2.39Buts par match 2.94
3.94Buts contre par match 3.78
29.03%Pourcentage en avantage numérique27.03%
75.93%Pourcentage en désavantage numérique55.00%
Spartans
10-5-3, 23pts
2025-12-03
Jazz
3-12-3, 9pts
Statistiques d’équipe
OTL2SéquenceL1
4-3-2Fiche domicile2-5-3
6-2-1Fiche visiteur1-7-0
4-4-210 derniers matchs2-7-1
3.67Buts par match 2.39
3.56Buts contre par match 2.39
28.21%Pourcentage en avantage numérique29.03%
73.91%Pourcentage en désavantage numérique75.93%
Jazz
3-12-3, 9pts
2025-12-05
Outlaws
11-6-1, 23pts
Statistiques d’équipe
L1SéquenceW3
2-5-3Fiche domicile4-3-1
1-7-0Fiche visiteur7-3-0
2-7-110 derniers matchs7-3-0
2.39Buts par match 3.78
3.94Buts contre par match 3.78
29.03%Pourcentage en avantage numérique35.29%
75.93%Pourcentage en désavantage numérique61.54%
Wolfpack
8-6-4, 20pts
2025-12-07
Jazz
3-12-3, 9pts
Statistiques d’équipe
W1SéquenceL1
5-5-1Fiche domicile2-5-3
3-1-3Fiche visiteur1-7-0
3-5-210 derniers matchs2-7-1
2.89Buts par match 2.39
2.83Buts contre par match 2.39
12.00%Pourcentage en avantage numérique29.03%
73.81%Pourcentage en désavantage numérique75.93%
Meneurs d'équipe
Buts
Andre Corrigall
6
Passes
Andrei Flatley
10
Points
Andrei Flatley
14
Plus/Moins
Washington Banker
3
Victoires
Giovanni Cremen
1
Pourcentage d’arrêts
Ray Miinanen
0.926

Statistiques d’équipe
Buts pour
43
2.39 GFG
Tirs pour
472
26.22 Avg
Pourcentage en avantage numérique
29.0%
9 GF
Début de zone offensive
31.6%
Buts contre
71
3.94 GAA
Tirs contre
595
33.06 Avg
Pourcentage en désavantage numérique
75.9%%
13 GA
Début de la zone défensive
41.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,814
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 55
Espoirs8


Historique d'équipe

Saison actuelle3-12-3 (9PTS)
Historique164-144-24 (0.494%)
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 Kontturi58X100.009058816496997283877073619767513850780291978,000$
2Stig Lunde (R)0X100.0081747476898772778953886984688368507601831,000,000$
3Dominik Hajas (R)0X100.007565439476918454657082828678697250760203900,000$
4Maddison Bilcke0X100.0073647073537875748689975389823740507502641,999,999$
5Hampus Ollilainen46X99.003459627766986292595889959167383650740291903,000$
6Jared Tallon (R)21X100.008733846499847871477672487245555950740231800,000$
7Ted Duca14X100.0054557076648692644851879555883658507302511,900,000$
8Washington Banker (R)0X100.007036785585958667677756515375856350720221890,000$
9Griffith Deer (R)0X100.008255517464747083667339783087427650690202800,000$
10Brennan Knapp0X100.007357837442628986924965557293886150670242840,000$
11Norman Dobrescu23X96.009259618192614987896045289293576450650243750,000$
12Carter Chilson0X100.005166686964647068873462878880555350640261700,000$
13Layton Neveu4X100.005667829890768971258369579745441507903611,563,000$
14Jeremiah Dunin (R)59X100.008046749384858560257458578668676850760222800,000$
15Sergey Izvolin0X100.0050606792848452672586687264904438507302721,600,000$
16Val Cuming (R)4X100.008835857580515686254345677078956750660222800,000$
17Gosta Jorgensen12X100.005760695653505156254367876198865750590251700,000$
18Jordyn Balding (R)0X100.006848585825628058255867608536566850590231700,000$
Rayé
1Andrei Flatley51X100.0051465997899664827590576366579750507802711,232,000$
2Andre Corrigall (R)0X98.008635915788665793468853992949538150760202900,000$
3Damon Colclough6X100.008747757288667682897651737093364550750271700,000$
4Elias Dansereau (R)14X100.009245766286627471846063757776806550710221700,000$
5Adrian Tillberg (R)0X100.0058587162638565967781645441265472507102121,000,000$
6Raphael Dupuis12X100.008963637155836870907450757384485250700241750,000$
7Dexter Lovatsis (R)0X100.005635636192805679788658444955887550700211805,000$
MOYENNE D’ÉQUIPE99.72715370737577717563686567717162575071
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
1Ray Miinanen4199.005674637168919290645364507534507202711,227,500$
2Burt Bannon (R)0100.00586166727164599052886953287550680213800,000$
Rayé
1Giovanni Cremen (R)0100.00799971758779495872714732667450740213800,000$
MOYENNE D’ÉQUIPE99.6764786773757867796371604556615071
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
1Andrei FlatleyJazz (BLU)C1441014-7175294037161510.81%1031222.341121100000220050.40%248173000.9001001000
2Andre CorrigallJazz (BLU)LW166713-95525234792712.77%931419.633474170111260121.05%19107000.8301001011
3Maddison BilckeJazz (BLU)RW185510-41715452841112012.20%931817.68011119000001083.33%1243000.6300111100
4Hampus OllilainenJazz (BLU)LW186410-53115183354162911.11%1132818.27101220000060030.00%201111000.6100030000
5Sergey IzvolinJazz (BLU)D18189-56013343110113.23%2040822.71123723000140000%01310000.4400000010
6Layton NeveuJazz (BLU)D18189-934301532231094.35%1944024.47123222011137000%01616000.4100141000
7Kaarl KontturiJazz (BLU)C17448-1275394339132410.26%638022.392246190001310053.02%36429000.4201010001
8Stig LundeJazz (BLU)C17358-9372534341872416.67%930918.190110100000100042.74%12464000.5200023000
9Jared TallonJazz (BLU)RW18257-7001720257108.00%622612.5600000000010033.33%643000.6200000000
10Damon ColcloughJazz (BLU)C1715601210192224964.17%618110.69011171011210053.68%9542000.6600020001
11Jeremiah DuninJazz (BLU)D18156-8295333317365.88%1744724.84011122000032000%01014000.2700100010
12Dominik HajasJazz (BLU)RW13325-62515261522111113.64%019815.250110120000181040.00%2567000.5002210100
13Ted DucaJazz (BLU)RW18224-4201219133615.38%41478.2000001000001075.00%458000.5400000001
14Norman DobrescuJazz (BLU)LW18213-64031103010156.67%325214.05000050000140062.50%8136000.2400000000
15Val CumingJazz (BLU)D18033-4952326171070%1838821.57000221000038000%0210000.1500001000
16Jordyn BaldingJazz (BLU)D18123-93810172012238.33%1124613.670000000008000%0210000.2400020000
17Gosta JorgensenJazz (BLU)D18112-72083312488.33%2323413.040000000001000%0110000.1700000000
18Washington BankerJazz (BLU)RW18011320673010%21156.4400005000000046.15%2601000.1700000000
19Brennan KnappJazz (BLU)C2000000010000%0136.5100000000010060.00%50100000000000
20Carter ChilsonJazz (BLU)LW2000-220210010%02713.620000000001000%00000000000000
21Elias DansereauJazz (BLU)C8000000231120%1222.8700004000020040.00%151000000000000
22Griffith DeerJazz (BLU)C2000-200126110%22311.8200000000000040.00%150000000000000
Statistiques d’équipe totales ou en moyenne3244378121-1122791454154794721532369.11%186533816.48916252722812353183149.59%986127135000.45055168234
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
1Luis HenrichBlues142830.8863.837840050437217000.7504142200
2Giovanni CremenJazz (BLU)61300.8634.482412018131560000314010
3Ray MiinanenJazz (BLU)10100.9262.00600022711000011000
Statistiques d’équipe totales ou en moyenne2131230.8823.87108620705952840041817210


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
Adrian TillbergJazz (BLU)RW212006-12-22SWEYes173 Lbs5 ft9NoNoFree AgentNoNo22025-02-25FalseFalsePro & Farm1,000,000$100,000$79,730$No1,000,000$--------1,000,000$--------No--------
Andre CorrigallJazz (BLU)LW202007-12-15CANYes202 Lbs5 ft11NoNoDraftNoNo22025-02-25FalseFalsePro & Farm900,000$90,000$71,757$No900,000$--------900,000$--------No--------
Andrei FlatleyJazz (BLU)C272000-04-16CANNo224 Lbs6 ft7NoNoTrade2025-06-24NoNo1FalseFalsePro & Farm1,232,000$123,200$98,227$No---------------------------
Brennan KnappJazz (BLU)C242003-12-23CANNo189 Lbs5 ft9NoNoN/ANoNo22024-06-05FalseFalsePro & Farm840,000$84,000$66,973$No840,000$--------840,000$--------No--------
Burt BannonJazz (BLU)G212006-09-02USAYes171 Lbs5 ft9NoNoDraftNoNo32025-10-05FalseFalsePro & Farm800,000$80,000$63,784$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Carter ChilsonJazz (BLU)LW262001-01-23USANo218 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Damon ColcloughJazz (BLU)C272000-06-13USANo222 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Dexter LovatsisJazz (BLU)LW212006-11-23CANYes185 Lbs5 ft5NoNoFree AgentNoNo12025-12-02FalseFalsePro & Farm805,000$80,500$64,182$No---------------------------
Dominik HajasJazz (BLU)RW202007-08-07SVKYes177 Lbs5 ft10NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$90,000$71,757$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Elias DansereauJazz (BLU)C222005-05-17CANYes231 Lbs6 ft7NoNoTrade2025-03-10NoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Giovanni CremenJazz (BLU)G212006-01-25USAYes174 Lbs5 ft5NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm800,000$80,000$63,784$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Gosta JorgensenJazz (BLU)D252002-11-05SWENo165 Lbs5 ft9NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Griffith DeerJazz (BLU)C202007-02-09USAYes180 Lbs6 ft3NoNoFree AgentNoNo22025-02-25FalseFalsePro & Farm800,000$80,000$63,784$No800,000$--------800,000$--------No--------
Hampus OllilainenJazz (BLU)LW291998-11-18FINNo180 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm903,000$90,300$71,996$No---------------------------
Jared TallonJazz (BLU)RW232004-07-23CANYes212 Lbs6 ft2NoNoTrade2025-03-10NoNo12024-07-04FalseFalsePro & Farm800,000$80,000$63,784$No---------------------------
Jeremiah DuninJazz (BLU)D222005-05-02CANYes189 Lbs5 ft8NoNoTrade2025-06-24NoNo22025-02-17FalseFalsePro & Farm800,000$80,000$63,784$No800,000$--------800,000$--------No--------
Jordyn BaldingJazz (BLU)D232004-08-18CANYes212 Lbs6 ft3NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Kaarl KontturiJazz (BLU)C291998-08-12FINNo173 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm978,000$97,800$77,976$No---------------------------
Layton NeveuJazz (BLU)D361991-02-18CANNo165 Lbs5 ft7NoNoFree AgentNoNo12025-10-28FalseFalsePro & Farm1,563,000$156,300$124,618$No---------------------------
Maddison BilckeJazz (BLU)RW262001-09-06CANNo186 Lbs5 ft10NoNoAssign Manually2025-06-27NoNo42025-10-26FalseFalsePro & Farm1,999,999$200,000$159,459$No1,999,999$1,999,999$1,999,999$------1,999,999$1,999,999$1,999,999$------NoNoNo------
Norman DobrescuJazz (BLU)LW242003-06-11ROUNo189 Lbs5 ft7NoNoN/ANoNo32024-06-05FalseFalsePro & Farm750,000$75,000$59,797$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$59,797$No---------------------------
Ray MiinanenJazz (BLU)G272000-01-09FINNo183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,227,500$122,750$97,868$No---------------------------
Sergey IzvolinJazz (BLU)D272000-08-26RUSNo189 Lbs5 ft6NoNoTrade2025-06-27NoNo22025-02-01FalseFalsePro & Farm1,600,000$160,000$127,568$No1,600,000$--------1,600,000$--------No--------
Stig LundeJazz (BLU)C182009-05-14NORYes195 Lbs6 ft6NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm1,000,000$100,000$79,730$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Ted DucaJazz (BLU)RW252002-05-16CANNo179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$190,000$151,486$No---------------------------
Val CumingJazz (BLU)D222005-06-09USAYes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$63,784$No800,000$--------800,000$--------No--------
Washington BankerJazz (BLU)RW222005-05-25USAYes186 Lbs5 ft8NoNoTrade2025-10-12NoNo12025-02-26FalseFalsePro & Farm890,000$89,000$70,959$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.00190 Lbs5 ft111.71983,518$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hampus OllilainenKaarl KontturiDominik Hajas35122
2Norman DobrescuStig LundeMaddison Bilcke35122
3Carter ChilsonGriffith DeerJared Tallon20122
4Hampus OllilainenBrennan KnappTed Duca10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Layton NeveuJeremiah Dunin35122
2Sergey IzvolinVal Cuming35122
3Gosta JorgensenJordyn Balding20122
4Layton NeveuJeremiah Dunin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hampus OllilainenKaarl KontturiDominik Hajas50122
2Norman DobrescuStig LundeMaddison Bilcke50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Layton NeveuJeremiah Dunin50122
2Sergey IzvolinVal Cuming50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kaarl KontturiHampus Ollilainen50122
2Stig LundeNorman Dobrescu50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Layton NeveuJeremiah Dunin50122
2Sergey IzvolinVal Cuming50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kaarl Kontturi50122Layton NeveuJeremiah Dunin50122
2Stig Lunde50122Sergey IzvolinVal Cuming50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kaarl KontturiHampus Ollilainen50122
2Stig LundeNorman Dobrescu50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Layton NeveuJeremiah Dunin50122
2Sergey IzvolinVal Cuming50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hampus OllilainenKaarl KontturiDominik HajasLayton NeveuJeremiah Dunin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hampus OllilainenKaarl KontturiDominik HajasLayton NeveuJeremiah Dunin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jared Tallon, Hampus Ollilainen, Ted DucaJared Tallon, Hampus OllilainenJared Tallon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Val Cuming, Gosta Jorgensen, Jordyn BaldingVal CumingVal Cuming, Gosta Jorgensen
Tirs de pénalité
Kaarl Kontturi, Dominik Hajas, Stig Lunde, Maddison Bilcke, Jared Tallon
Gardien
#1 : Ray Miinanen, #2 : Burt Bannon
Lignes d’attaque personnalisées en prolongation
Kaarl Kontturi, Dominik Hajas, Stig Lunde, Maddison Bilcke, Jared Tallon, Hampus Ollilainen, Ted Duca, Washington Banker, Griffith Deer, Brennan Knapp
Lignes de défense personnalisées en prolongation
Layton Neveu, Jeremiah Dunin, Sergey Izvolin, Val Cuming, Gosta Jorgensen


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
1Bulldogs1010000028-61010000028-60000000000000.000246001319110241391731586421718152150.00%4250.00%014331145.98%19840349.13%14826955.02%350191411167326156
2Devils2010010038-51000010023-11010000015-410.250369001319110361391731586662111357114.29%30100.00%014331145.98%19840349.13%14826955.02%350191411167326156
3Hornets20200000110-91010000013-21010000007-700.00012300131911039139173158644103148000%8450.00%014331145.98%19840349.13%14826955.02%350191411167326156
4Jacks1010000002-2000000000001010000002-200.0000000013191102413917315862731725100.00%60100.00%014331145.98%19840349.13%14826955.02%350191411167326156
5Kings2020000035-21010000012-11010000023-100.00035800131911051139173158673293351200.00%4175.00%014331145.98%19840349.13%14826955.02%350191411167326156
6Northmen1010000045-1000000000001010000045-100.00047110013191102713917315864285193133.33%000%014331145.98%19840349.13%14826955.02%350191411167326156
7Outlaws1010000048-41010000048-40000000000000.0004711001319110261391731586417402711100.00%6350.00%014331145.98%19840349.13%14826955.02%350191411167326156
8Phantoms211000009541010000034-11100000061520.50091726001319110621391731586691439408337.50%70100.00%014331145.98%19840349.13%14826955.02%350191411167326156
9Wild Wings2110000036-3110000002111010000015-420.50035800131911076139173158660283055400.00%5180.00%014331145.98%19840349.13%14826955.02%350191411167326156
10Wolverines2100010011742100010011740000000000030.7501120310013191105513917315865924485511100.00%9277.78%114331145.98%19840349.13%14826955.02%350191411167326156
11Yeti2010000137-41000000112-11010000025-310.25035800131911052139173158672259452150.00%20100.00%014331145.98%19840349.13%14826955.02%350191411167326156
Total18312002014371-281025002012738-11817000001633-1790.2504378121001319110472139173158659518628141531929.03%541375.93%114331145.98%19840349.13%14826955.02%350191411167326156
_Since Last GM Reset18312002014371-281025002012738-11817000001633-1790.2504378121001319110472139173158659518628141531929.03%541375.93%114331145.98%19840349.13%14826955.02%350191411167326156
_Vs Conference1218002012547-22713002012025-550500000522-1750.208254570001319110283139173158638211918928614428.57%381073.68%114331145.98%19840349.13%14826955.02%350191411167326156
_Vs Division40400100920-1120200100310-720200000610-410.1259162500131911010313917315861565032797342.86%6266.67%014331145.98%19840349.13%14826955.02%350191411167326156

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
189L1437812147259518628141500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1831202014371
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
102502012738
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
81700001633
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31929.03%541375.93%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
13917315861319110
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
14331145.98%19840349.13%14826955.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
350191411167326156


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 - 2025-12-03217Spartans-Jazz-
34 - 2025-12-05230Jazz-Outlaws-
36 - 2025-12-07244Wolfpack-Jazz-
37 - 2025-12-08252Jazz-Spartans-
39 - 2025-12-10264Vipers-Jazz-
41 - 2025-12-12284Jazz-Wolfpack-
43 - 2025-12-14289Jazz-Hornets-
44 - 2025-12-15298Jazz-Auroras-
46 - 2025-12-17311Stingers-Jazz-
48 - 2025-12-19332Jazz-Vipers-
50 - 2025-12-21338Auroras-Jazz-
51 - 2025-12-22349Hydra-Jazz-
53 - 2025-12-24360Hornets-Jazz-
55 - 2025-12-26372Jazz-Crusaders-
57 - 2025-12-28388Rampage-Jazz-
59 - 2025-12-30402Schooners-Jazz-
61 - 2026-01-01417Jazz-Wolverines-
62 - 2026-01-02421Comets-Jazz-
64 - 2026-01-04433Devils-Jazz-
65 - 2026-01-05443Jazz-Devils-
67 - 2026-01-07457Jazz-Schooners-
69 - 2026-01-09470Outlaws-Jazz-
71 - 2026-01-11483Guppies-Jazz-
72 - 2026-01-12491Jazz-Guppies-
74 - 2026-01-14502Jazz-Comets-
76 - 2026-01-16521Jazz-Outlaws-
78 - 2026-01-18529Jazz-Hydra-
80 - 2026-01-20546Crusaders-Jazz-
82 - 2026-01-22558Rock-Jazz-
83 - 2026-01-23565Outlaws-Jazz-
85 - 2026-01-25584Jazz-Yeti-
86 - 2026-01-26586Jazz-Jacks-
88 - 2026-01-28598Jazz-Guppies-
90 - 2026-01-30612Jacks-Jazz-
92 - 2026-02-01627Jazz-Rampage-
93 - 2026-02-02633Jacks-Jazz-
95 - 2026-02-04649Jazz-Wolverines-
97 - 2026-02-06664Jazz-Stingers-
99 - 2026-02-08670Northmen-Jazz-
101 - 2026-02-10687Vipers-Jazz-
103 - 2026-02-12698Jazz-Kings-
104 - 2026-02-13705Jazz-Hornets-
106 - 2026-02-15718Guppies-Jazz-
108 - 2026-02-17734Jazz-Rock-
110 - 2026-02-19744Jazz-Vipers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
111 - 2026-02-20748Yeti-Jazz-
114 - 2026-02-23774Jazz-Wolfpack-
116 - 2026-02-25780Jazz-Bulldogs-
118 - 2026-02-27795Kings-Jazz-
120 - 2026-03-01809Hornets-Jazz-
122 - 2026-03-03825Jazz-Outlaws-
124 - 2026-03-05832Jazz-Devils-
125 - 2026-03-06840Devils-Jazz-
127 - 2026-03-08848Jazz-Auroras-
128 - 2026-03-09858Wolfpack-Jazz-
131 - 2026-03-12869Devils-Jazz-
132 - 2026-03-13882Outlaws-Jazz-
134 - 2026-03-15894Auroras-Jazz-
137 - 2026-03-18905Jazz-Hornets-
139 - 2026-03-20921Jazz-Outlaws-
141 - 2026-03-22931Hornets-Jazz-
142 - 2026-03-23938Jazz-Devils-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance18,6379,506
Assistance PCT93.19%95.06%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2814 - 93.81% 83,463$834,629$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
666,587$ 2,753,850$ 2,753,850$ 400,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,753,850$ 666,587$ 28 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,503,887$ 118 21,310$ 2,514,580$




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
3Fyodor Romantsev215775513254628040161212.58%120418119.45141731586172110455.52%00.6301
4Damon Colclough3344078118-171135434354858.25%94437213.09066421345155.31%00.5412
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 Henrich1898188140.9063.011088410354657823122740.77431
2Sergio Bazzani1326645110.9122.637492107328373423241020.73738
3Ray Miinanen3116850.9182.4318050073891435310.6005
4Giovanni Cremen61300.8634.482412018131560000

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
518312002014371-281025002012738-11817000001633-1794378121001319110472139173158659518628141531929.03%541375.93%114331145.98%19840349.13%14826955.02%350191411167326156
Total Saison régulière33813614401521139934981-47170697407875469479-101686770081364465502-373589341555248971023034433235100013020335435411601054535063392827966218728.25%84421674.41%253438668751.41%3495662452.76%2430466952.05%699339067238311362173073
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