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Jazz
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Nick Gutekunst | Morale : 50 | Team Overall : 71

Team Leaders

Team Stats
Team Info

General ManagerNick Gutekunst
DivisionSoutheast
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team23
Farm Team17
Contract Limit40 / 55
Prospects8


Team History

This Season0-0-0 (0PTS)
History179-186-29 (0.454%)
Playoff Appearances3
Playoff Record (W-L)13 - 15 (0.464%)
Stanley Cup0


Filter Tips
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
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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
# Player Name #C L R D CON PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Stig Lunde (R)0X100.0082747377908873778954877484688364507701921,000,000$
2Dominik Hajas (R)0X100.007665429678928556657182828678696950770212900,000$
3Maddison Bilcke0X100.0074646975557976748690985589823736507602731,999,999$
4Andre Corrigall (R)0X100.008635925788675893468952992949537550760211900,000$
5Jeremiah Dunin (R)59X100.008146739587888762257558598668676350760231800,000$
6Sergey Izvolin0X100.0049606692858653692587687264904432507302811,600,000$
Scratches
1Jared Tallon (R)21X100.0088338564998680714777714872455554507402400$
2Ted Duca14X100.0054557075638894644851869855883653507302600$
3Washington Banker (R)0X100.0069368054839587676776554953758558507102300$
4Adrian Tillberg (R)0X100.0057587161628565967781635241265467507102211,000,000$
5Elias Dansereau (R)14X100.0091457761846174708459627377768059507002300$
6Raphael Dupuis12X100.0089636371558368709074507573844852507002500$
7Dexter Lovatsis (R)0X100.0056356361928056797886574449558872507002200$
8Griffith Deer (R)0X100.008255517464747083667339783087427650690211800,000$
9Brennan Knapp0X100.007357837442628986924965557293886150670251840,000$
10Norman Dobrescu23X100.009259608192614987896044279293576150650252750,000$
11Lukas Weller (R)76X100.0099439266929989592576707140918452508102400$
12Val Cuming (R)4X100.008835867780535887254346677078956250670231800,000$
13Jordyn Balding (R)0X100.0068485757246381582558685985365665505902400$
14Gosta Jorgensen12X100.0056606955514951552542678561988653505802600$
TEAM AVERAGE100.00765171717377727359696466657365595071
Filter Tips
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
# Goalie Name #CON PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Luis Henrich31100.005583888379739953729498438838507802731,999,000$
2Giovanni Cremen (R)0100.00809972768780525874724732666950750222800,000$
Scratches
1Burt Bannon (R)0100.00586166727164599052886953287550680222800,000$
TEAM AVERAGE100.0064817577797270676685714361615074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
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
# Player Name Team NamePOSGP 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
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
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
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adrian TillbergJazz (BLU)RW222006-12-22SWEYes173 Lbs5 ft9NoNoFree AgentNoNo12025-02-25FalseFalsePro & Farm1,000,000$100,000$100,000$No---------------------------
Andre CorrigallJazz (BLU)LW212007-12-15CANYes202 Lbs5 ft11NoNoDraftNoNo12025-02-25FalseFalsePro & Farm900,000$90,000$90,000$No---------------------------
Brennan KnappJazz (BLU)C252003-12-23CANNo189 Lbs5 ft9NoNoN/ANoNo12024-06-05FalseFalsePro & Farm840,000$84,000$84,000$No---------------------------
Burt BannonJazz (BLU)G222006-09-02USAYes171 Lbs5 ft9NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Dexter LovatsisJazz (BLU)LW222006-11-23CANYes185 Lbs5 ft5NoNoFree AgentNoNo02025-12-02FalseFalsePro & Farm0$0$No---------------------------
Dominik HajasJazz (BLU)RW212007-08-07SVKYes177 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$90,000$No900,000$--------900,000$--------No--------
Elias DansereauJazz (BLU)C232005-05-17CANYes231 Lbs6 ft7NoNoTrade2025-03-10NoNo0FalseFalsePro & Farm0$0$No---------------------------
Giovanni CremenJazz (BLU)G222006-01-25USAYes174 Lbs5 ft5NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Gosta JorgensenJazz (BLU)D262002-11-05SWENo165 Lbs5 ft9NoNoAssign ManuallyNoNo02025-02-01FalseFalsePro & Farm0$0$No---------------------------
Griffith DeerJazz (BLU)C212007-02-09USAYes180 Lbs6 ft3NoNoFree AgentNoNo12025-02-25FalseFalsePro & Farm800,000$80,000$80,000$No---------------------------
Jared TallonJazz (BLU)RW242004-07-23CANYes212 Lbs6 ft2NoNoTrade2025-03-10NoNo02024-07-04FalseFalsePro & Farm0$0$No---------------------------
Jeremiah DuninJazz (BLU)D232005-05-02CANYes189 Lbs5 ft8NoNoTrade2025-06-24NoNo12025-02-17FalseFalsePro & Farm800,000$80,000$80,000$No---------------------------
Jordyn BaldingJazz (BLU)D242004-08-18CANYes212 Lbs6 ft3NoNoFree AgentNoNo02025-10-27FalseFalsePro & Farm0$0$No---------------------------
Luis HenrichJazz (BLU)G272001-06-06GERNo218 Lbs6 ft3NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,999,000$199,900$199,900$No1,999,000$1,999,000$-------1,999,000$1,999,000$-------NoNo-------
Lukas WellerJazz (BLU)D242004-05-15GERYes188 Lbs6 ft2NoNoTrade2026-02-17NoNo02024-07-04FalseFalsePro & Farm0$0$No---------------------------
Maddison BilckeJazz (BLU)RW272001-09-06CANNo186 Lbs5 ft10NoNoAssign Manually2025-06-27NoNo32025-10-26FalseFalsePro & Farm1,999,999$200,000$200,000$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------
Norman DobrescuJazz (BLU)LW252003-06-11ROUNo189 Lbs5 ft7NoNoN/ANoNo22024-06-05FalseFalsePro & Farm750,000$75,000$75,000$No750,000$--------750,000$--------No--------
Raphael DupuisJazz (BLU)RW252003-06-01CANNo167 Lbs5 ft9NoNoTrade2025-06-24NoNo02025-02-01FalseFalsePro & Farm0$0$No---------------------------
Sergey IzvolinJazz (BLU)D282000-08-26RUSNo189 Lbs5 ft6NoNoTrade2025-06-27NoNo12025-02-01FalseFalsePro & Farm1,600,000$160,000$160,000$No---------------------------
Stig LundeJazz (BLU)C192009-05-14NORYes195 Lbs6 ft6NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$100,000$100,000$No1,000,000$--------1,000,000$--------No--------
Ted DucaJazz (BLU)RW262002-05-16CANNo179 Lbs5 ft9NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Val CumingJazz (BLU)D232005-06-09USAYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$80,000$No---------------------------
Washington BankerJazz (BLU)RW232005-05-25USAYes186 Lbs5 ft8NoNoTrade2025-10-12NoNo02025-02-26FalseFalsePro & Farm0$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2323.61189 Lbs5 ft111.00651,696$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
235122
3Andre Corrigall20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeremiah Dunin35122
235122
320122
4Sergey Izvolin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
150122
250122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeremiah Dunin50122
2Sergey Izvolin50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
150122
250122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeremiah Dunin50122
250122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15012250122
250122Jeremiah Dunin50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
150122
250122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
150122
2Jeremiah Dunin50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jeremiah Dunin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jeremiah Dunin
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : Luis Henrich, #2 : Giovanni Cremen
Custom OT Lines Forwards
, , , , , , , , , Andre Corrigall
Custom OT Lines Defensemen
, , Sergey Izvolin, ,


Filter Tips
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
OverallHomeVisitor
# VS Team 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,498,900$ 1,498,900$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 14 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Jazz Players Stat Leaders (Regular Season)

# Player Name 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 Goalies Stat Leaders (Regular Season)

# Goalie Name 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 Career Team Stats

OverallHomeVisitor
Year 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
Regular Season
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 Regular Season40014718601824141110801224-1442007495081076538598-6020073910101475542626-8439310801797287781126040838041115153451389640711831252341744408964777421928.29%104827373.95%293947773951.00%4242810352.35%2870556151.61%815844928638370074033666
Playoff
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 Playoff281315000005974-151596000003740-31349000002234-12265910015920142419272925624921212883265262644541731.48%701184.29%029855953.31%25952249.62%16634448.26%551292623261518257

Jazz Players Stat Leaders (Play-Off)

# Player Name 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 Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Sergio Bazzani2412920.9232.38141200567264561100
2Luis Henrich51310.8973.472770016155901100