JetsWinnipeg Jets
13-13-3, 29pts · 13th in Western Conference
Roster
# Player POS CON HT WT Age Date Of Birth POB Draft Contract
0Alex DeBrincatLW/RW100% 5' 7" 16521December 18, 1997JetsUSA2016778,333$/1yrs
0Mark LetestuC/RW100% 5' 10" 19534February 04, 1985JetsCAN-700,000$/1yrs
0Tomas TatarLW/RW100% 5' 10" 18229December 01, 1990JetsSVK20095,300,000$/2yrs
0Steve BernierRW100% 6' 3" 22234March 31, 1985JetsCAN2003700,000$/1yrs
0Jason SpezzaC100% 6' 3" 21536June 13, 1983JetsCAN2001750,000$/1yrs
0Cal ClutterbuckRW99% 5' 11" 21632November 18, 1987JetsCAN20063,500,000$/3yrs
0Mark ScheifeleC100% 6' 3" 20726March 15, 1993JetsCAN20116,125,000$/5yrs
0Aleksi HeponiemiC100% 5' 10" 14720January 09, 1999JetsFIN2017925,000$/3yrs
0Jean-Gabriel PageauC100% 5' 10" 18427November 11, 1992JetsCAN20113,100,000$/1yrs
0Adam LowryC100% 6' 5" 21026March 29, 1993JetsUSA20112,900,000$/2yrs
0Nikolaj EhlersLW100% 6' 0" 17223February 14, 1996JetsDNK20146,000,000$/6yrs
0Kyle ConnorLW100% 6' 1" 18222December 09, 1996JetsUSA20159,000,000$/8yrs
0Andrew CoppC/LW100% 6' 1" 20625July 08, 1994JetsUSA20132,000,000$/2yrs
0Nick SchmaltzC100% 6' 0" 17723February 23, 1996JetsUSA20145,850,000$/7yrs
0Josh MorrisseyD100% 6' 0" 19524March 28, 1995JetsCAN20133,150,000$/1yrs
0Niklas HjalmarssonD100% 6' 3" 19732June 06, 1987JetsSWE20055,000,000$/2yrs
0Dustin ByfuglienD100% 6' 5" 26034March 27, 1985JetsUSA20037,600,000$/2yrs
0Mattias EkholmD100% 6' 4" 21529May 24, 1990JetsSWE20093,750,000$/3yrs
0Ben ChiarotD100% 6' 3" 21928May 09, 1991JetsCAN20092,400,000$/3yrs
0Tucker PoolmanD100% 6' 2" 19926June 08, 1993JetsUSA2013775,000$/2yrs
Scratches
0Mats ZuccarelloRW95% 5' 8" 18432September 01, 1987JetsNOR-6,000,000$/5yrs
# Goalie Pos Condition HT WT Age Date Of Birth POB Draft Contract
0Calvin PickardG100% 6' 1" 20727April 15, 1992JetsCAN2010700,000$/2yrs
0Connor HellebuyckG99% 6' 4" 20726May 19, 1993JetsUSA20126,166,666$/5yrs
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rick Tocchet84927887817667CAN5433,000,000$
General Manager
Patrick Dupont
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Mark ScheifeleJetsJets0C29161632148034161391159.94%720.044158800022255.62%81800001.1012
2Josh MorrisseyJetsJets0D2932124720175424295.56%5222.752358200067000.00%000000.7300
3Dustin ByfuglienJetsJets0D2922123645594365295.56%2422.55044860002010.00%000000.7000
4Tomas TatarJetsJets0LW/RW2910112110604192135510.87%216.490447700031150.00%3400010.8822
5Mattias EkholmJetsJets0D2931720220154524346.67%3423.941348800064010.00%000000.5800
6Mats ZuccarelloJetsJets0RW2791019142356981227011.11%319.4902277000362028.57%3500000.7201
7Nikolaj EhlersJetsJets0LW299918-7402074245412.16%418.7312382101412039.22%5100000.6612
8Kyle ConnorJetsJets0LW2998179401089145410.11%220.091238900011038.64%4400000.5802
9Adam LowryJetsJets0C293131610120695917285.08%916.010001011901048.96%62500000.6900
10Cal ClutterbuckJetsJets0RW28671392406352133511.54%515.6000000001020053.85%3900000.6000
11Nick SchmaltzJetsJets0C297512-15801468194310.29%116.802357900001050.40%62100000.4900
12Alex DeBrincatJetsJets0LW/RW272810-1420106021463.33%217.841237800050042.11%3800000.4200
13Jean-Gabriel PageauJetsJets0C17549-31203141103712.20%515.2312314000301049.04%31200000.7000
14Andrew CoppJetsJets0C/LW31549-4401835122914.29%711.650000000451050.00%3800000.5000
15Ben ChiarotJetsJets0D29178236091187185.56%5919.660114700060000.00%000000.2800
16Niklas HjalmarssonJetsJets0D29257-815531182511.11%4216.61000501176110.00%000000.2900
17Jason SpezzaJetsJets0C29011-900713790.00%16.990001000150049.67%15100000.1011
18Tucker PoolmanJetsJets0D29011-9120206130.00%1214.36000000029000.00%000000.0500
19Mark LetestuJetsJets0C/RW2000-10001000.00%19.33000000010050.00%200000.0000
20Steve BernierJetsJets0RW17000-72094330.00%05.74000000000022.22%900000.0000
21Aleksi HeponiemiJetsJets0C8000-600211120.00%07.06000000000047.62%2100000.0000
Team Total or Average5349216826002211566510182786989.04%27216.9613294290312367813650.56%283800010.57510
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
1Connor HellebuyckJetsJets25111020.9122.94143020707990100.7789245112
2Calvin PickardJetsJets72310.8793.5833500201650000.0000524010
Team Total or Average32131330.9073.06176520909640100.77892929122
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1JetsAvalanche1100000063321.0006121800222037131680476619100.00%30100.00%0562106552.77%526105050.10%22844451.35%221524612666.7%16.2%93.6%109.8LUCKY
2JetsCanucks1100000072521.0007132000421042151512037101016200.00%40100.00%0562106552.77%526105050.10%22844451.35%272020611677.8%16.7%94.6%111.3LUCKY
3JetsPredators1010000023-100.0002460011002594120317820100.00%3166.67%1562106552.77%526105050.10%22844451.35%201427711550.0%8.0%90.3%98.3Unlucky
4JetsPenguins2110000046-220.5004812000310622421170682221396233.33%30100.00%0562106552.77%526105050.10%22844451.35%44315213231125.0%6.5%91.2%97.6DULL
5JetsDucks20200000711-400.00071421003310821537300581816319222.22%8450.00%0562106552.77%526105050.10%22844451.35%51354114271341.7%8.5%81.0%89.6Unlucky
6JetsStars411010101110160.750111930004412149514348101243326771119.09%7185.71%0562106552.77%526105050.10%22844451.35%108808927482452.6%7.4%91.9%99.3DULL
7JetsFlames1100000053221.0005101500311040151015040176202150.00%2150.00%0562106552.77%526105050.10%22844451.35%241823612666.7%12.5%92.5%105.0LUCKY
8JetsDevils2020000046-200.0004610003100491618150681714529111.11%70100.00%0562106552.77%526105050.10%22844451.35%48344713231233.3%8.2%91.2%99.3DULL
9JetsBlackhawks1100000051421.0005914001220266614033121212100.00%6183.33%0562106552.77%526105050.10%22844451.35%2014278125100.0%19.2%97.0%116.2LUCKY
10JetsKings2010010059-410.250510150021206219152446716123710110.00%4250.00%0562106552.77%526105050.10%22844451.35%53374415261336.4%8.1%86.6%94.6Unlucky
11JetsOilers1010000013-200.0001230001002099203210830300.00%40100.00%0562106552.77%526105050.10%22844451.35%221625612525.0%5.0%90.6%95.6Unlucky
12JetsIslanders2010010057-210.2505813001220712220290642216506116.67%8275.00%0562106552.77%526105050.10%22844451.35%50354413251244.4%7.0%89.1%96.1Unlucky
13JetsBlue Jackets1000010012-110.50012300001032581723911221300.00%10100.00%0562106552.77%526105050.10%22844451.35%241625713633.3%3.1%94.9%98.0DULL
14JetsPanthers1100000053221.000510150004103614121002010623300.00%3166.67%0562106552.77%526105050.10%22844451.35%241622713671.4%13.9%85.0%98.9FUN
15JetsCoyotes1100000041321.000461000211035911150153229400.00%10100.00%0562106552.77%526105050.10%22844451.35%241621813780.0%11.4%93.3%104.8LUCKY
16JetsWild1000100043121.000481200012127711813371014600.00%5180.00%0562106552.77%526105050.10%22844451.35%292018714766.7%14.8%90.9%105.7FUN
17JetsRangers1000100032121.00035800101139139134346832300.00%40100.00%0562106552.77%526105050.10%22844451.35%281921713660.0%7.7%94.1%101.8DULL
18JetsLightning1010000023-100.0002350001102448120539416100.00%20100.00%0562106552.77%526105050.10%22844451.35%181128713640.0%8.3%94.3%102.7DULL
19JetsSharks2010001056-120.50058130012136517202597018124310220.00%60100.00%0562106552.77%526105050.10%22844451.35%50344715271433.3%7.7%91.4%99.1DULL
20JetsGolden Knights1010000026-400.0002460011003911141403196215120.00%3233.33%0562106552.77%526105050.10%22844451.35%241623612620.0%5.1%80.6%85.8Unlucky
_Vs Division8320201028208120.75028528000810732648680901126865621422015.00%24483.33%1562106552.77%526105050.10%22844451.35%201144187581004962.8%10.6%92.5%103.1LUCKY
_Vs Conference19680212064613210.553641191830024221466491962112272461816613436965812.31%561376.79%1562106552.77%526105050.10%22844451.35%48034043413824412253.8%9.9%90.1%100.0FUN
_Since Last GM Reset29813033208890-2290.5008816124900293321796229430734030964263205602961212.50%841680.95%1562106552.77%526105050.10%22844451.35%71850767720837018450.7%9.1%90.7%99.8FUN
Total29813033208890-2290.5008816124900293321796229430734030964263205602961212.50%841680.95%1562106552.77%526105050.10%22844451.35%71850767720837018450.7%9.1%90.7%99.8FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 1065
Neutral Zone Start 444
Defensive Zone Start 1050
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 1316
Faceoffs Lost 1243
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 20.720.31
3rd Period 32.430.68
Overtime 33.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.11.65
3rd Period 2.92.67
Overtime 3.12.83
Even Strenght Goal 75
PP Goal 12
PK Goal 1
Empty Net Goal 0
Home Away
Win 85
Lost 211
Overtime Lost 30
PP Attempt 96
PP Goal 12
PK Attempt 84
PK Goal Against 16
Home
Shots For 33.2
Shots Against 33.2
Goals For 3.0
Goals Against 3.1
Hits 20.8
Shots Blocked 9.1
Pim 7.1
Cap Hit
Jets
Projected Total Cap Hit81,484,098$
Projected Cap Space15,902$
Retains And Buyout Cap Hit-300,000$
Salary Cap To Date28,573,129$
Players In Salary Cap25
LTIR Players0
Jets Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Adam LowryC262,900,000$2,900,000$2,900,000$UFA
Aleksi Heponiemi C20925,000$925,000$ 925,000$ 925,000$ RFA
Alex DeBrincat LW/RW21778,333$778,333$ RFA
Andrew CoppC/LW252,000,000$2,000,000$2,000,000$ RFA
Ben Chiarot D282,400,000$2,400,000$2,400,000$2,400,000$UFA
Cal ClutterbuckRW323,500,000$3,500,000$3,500,000$3,500,000$UFA
Calvin PickardG27700,000$700,000$700,000$UFA
Connor HellebuyckG266,166,666$6,166,666$6,166,666$6,166,666$6,166,666$6,166,666$UFA
Dustin Byfuglien D347,600,000$7,600,000$7,600,000$UFA
Jason Spezza C36750,000$750,000$UFA
Jean-Gabriel PageauC273,100,000$3,100,000$UFA
Josh Morrissey D243,150,000$3,150,000$ RFA
Kyle Connor LW229,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$
Mark Letestu C/RW34700,000$700,000$ UFA
Mark ScheifeleC266,125,000$6,125,000$6,125,000$6,125,000$6,125,000$6,125,000$UFA
Mats ZuccarelloRW326,000,000$6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$UFA
Mattias EkholmD293,750,000$3,750,000$3,750,000$3,750,000$UFA
Nick Schmaltz C235,850,000$5,850,000$5,850,000$5,850,000$5,850,000$5,850,000$5,850,000$5,850,000$UFA
Niklas Hjalmarsson D325,000,000$5,000,000$5,000,000$UFA
Nikolaj Ehlers LW236,000,000$6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$UFA
Steve Bernier RW34700,000$700,000$ UFA
Tomas Tatar LW/RW295,300,000$5,300,000$5,300,000$UFA
Tucker PoolmanD26775,000$775,000$775,000$UFA
Non-Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Adam Chapie RW28700,000$700,000$ UFA
Andrew Campbell D31700,000$700,000$ UFA
Ben Sexton RW28700,000$700,000$ UFA
Bowen Byram D18925,000$925,000$ 925,000$ 925,000$ RFA
Brandon Crawley D22700,000$700,000$ RFA
CJ Suess LW25700,000$700,000$ RFA
Dustin Tokarski G30700,000$700,000$ UFA
JC Lipon RW260$700,000$ RFA
Jansen Harkins LW22767,500$767,500$ RFA
Josh Jacobs D23700,000$700,000$ RFA
Logan Stanley D21863,333$863,333$ 863,333$ RFA
Luke Green D21750,000$750,000$ 750,000$ RFA
Marko Dano C250$800,000$ RFA
Michael Spacek C22750,000$750,000$ RFA
Micheal Haley C33700,000$700,000$ UFA
Nelson Nogier D23700,000$700,000$ RFA
Nicolas Kerdiles LW25700,000$700,000$ RFA
Paul Carey C31700,000$700,000$ UFA
Sami Niku D23775,000$775,000$ RFA
Scott Darling G30700,000$700,000$ UFA
Sean Day D21761,666$761,666$ 761,666$ RFA
Skyler McKenzie LW21741,000$741,000$ 741,000$ RFA
Tanner Pond C26700,000$700,000$ UFA
Zachary Leslie D25700,000$700,000$ RFA

Lines
Forward Lines


Nikolaj Ehlers


Mark Scheifele


Tomas Tatar


Kyle Connor


Alex DeBrincat


Adam Lowry


Nick Schmaltz


Jason Spezza


Mark Letestu


Aleksi Heponiemi


Steve Bernier

Defensive Pairings


Josh Morrissey


Dustin Byfuglien


Mattias Ekholm


Ben Chiarot


Niklas Hjalmarsson


Tucker Poolman

1st Power Play Unit


Kyle Connor


Mark Scheifele


Alex DeBrincat


Mattias Ekholm


Dustin Byfuglien

2nd Power Play Unit


Nikolaj Ehlers


Nick Schmaltz


Tomas Tatar


Josh Morrissey

Goalies


Connor Hellebuyck


Calvin Pickard

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1JetsAvalanche1100000063321.0006121800222037131680476619100.00%30100.00%0562106552.77%526105050.10%22844451.35%221524612666.7%16.2%93.6%109.8LUCKY
2JetsCanucks1100000072521.0007132000421042151512037101016200.00%40100.00%0562106552.77%526105050.10%22844451.35%272020611677.8%16.7%94.6%111.3LUCKY
3JetsPredators1010000023-100.0002460011002594120317820100.00%3166.67%1562106552.77%526105050.10%22844451.35%201427711550.0%8.0%90.3%98.3Unlucky
4JetsPenguins2110000046-220.5004812000310622421170682221396233.33%30100.00%0562106552.77%526105050.10%22844451.35%44315213231125.0%6.5%91.2%97.6DULL
5JetsDucks20200000711-400.00071421003310821537300581816319222.22%8450.00%0562106552.77%526105050.10%22844451.35%51354114271341.7%8.5%81.0%89.6Unlucky
6JetsStars411010101110160.750111930004412149514348101243326771119.09%7185.71%0562106552.77%526105050.10%22844451.35%108808927482452.6%7.4%91.9%99.3DULL
7JetsFlames1100000053221.0005101500311040151015040176202150.00%2150.00%0562106552.77%526105050.10%22844451.35%241823612666.7%12.5%92.5%105.0LUCKY
8JetsDevils2020000046-200.0004610003100491618150681714529111.11%70100.00%0562106552.77%526105050.10%22844451.35%48344713231233.3%8.2%91.2%99.3DULL
9JetsBlackhawks1100000051421.0005914001220266614033121212100.00%6183.33%0562106552.77%526105050.10%22844451.35%2014278125100.0%19.2%97.0%116.2LUCKY
10JetsKings2010010059-410.250510150021206219152446716123710110.00%4250.00%0562106552.77%526105050.10%22844451.35%53374415261336.4%8.1%86.6%94.6Unlucky
11JetsOilers1010000013-200.0001230001002099203210830300.00%40100.00%0562106552.77%526105050.10%22844451.35%221625612525.0%5.0%90.6%95.6Unlucky
12JetsIslanders2010010057-210.2505813001220712220290642216506116.67%8275.00%0562106552.77%526105050.10%22844451.35%50354413251244.4%7.0%89.1%96.1Unlucky
13JetsBlue Jackets1000010012-110.50012300001032581723911221300.00%10100.00%0562106552.77%526105050.10%22844451.35%241625713633.3%3.1%94.9%98.0DULL
14JetsPanthers1100000053221.000510150004103614121002010623300.00%3166.67%0562106552.77%526105050.10%22844451.35%241622713671.4%13.9%85.0%98.9FUN
15JetsCoyotes1100000041321.000461000211035911150153229400.00%10100.00%0562106552.77%526105050.10%22844451.35%241621813780.0%11.4%93.3%104.8LUCKY
16JetsWild1000100043121.000481200012127711813371014600.00%5180.00%0562106552.77%526105050.10%22844451.35%292018714766.7%14.8%90.9%105.7FUN
17JetsRangers1000100032121.00035800101139139134346832300.00%40100.00%0562106552.77%526105050.10%22844451.35%281921713660.0%7.7%94.1%101.8DULL
18JetsLightning1010000023-100.0002350001102448120539416100.00%20100.00%0562106552.77%526105050.10%22844451.35%181128713640.0%8.3%94.3%102.7DULL
19JetsSharks2010001056-120.50058130012136517202597018124310220.00%60100.00%0562106552.77%526105050.10%22844451.35%50344715271433.3%7.7%91.4%99.1DULL
20JetsGolden Knights1010000026-400.0002460011003911141403196215120.00%3233.33%0562106552.77%526105050.10%22844451.35%241623612620.0%5.1%80.6%85.8Unlucky
_Vs Division8320201028208120.75028528000810732648680901126865621422015.00%24483.33%1562106552.77%526105050.10%22844451.35%201144187581004962.8%10.6%92.5%103.1LUCKY
_Vs Conference19680212064613210.553641191830024221466491962112272461816613436965812.31%561376.79%1562106552.77%526105050.10%22844451.35%48034043413824412253.8%9.9%90.1%100.0FUN
_Since Last GM Reset29813033208890-2290.5008816124900293321796229430734030964263205602961212.50%841680.95%1562106552.77%526105050.10%22844451.35%71850767720837018450.7%9.1%90.7%99.8FUN
Total29813033208890-2290.5008816124900293321796229430734030964263205602961212.50%841680.95%1562106552.77%526105050.10%22844451.35%71850767720837018450.7%9.1%90.7%99.8FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 1065
Neutral Zone Start 444
Defensive Zone Start 1050
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 1316
Faceoffs Lost 1243
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 20.720.31
3rd Period 32.430.68
Overtime 33.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.11.65
3rd Period 2.92.67
Overtime 3.12.83
Even Strenght Goal 75
PP Goal 12
PK Goal 1
Empty Net Goal 0
Home Away
Win 85
Lost 211
Overtime Lost 30
PP Attempt 96
PP Goal 12
PK Attempt 84
PK Goal Against 16
Home
Shots For 33.2
Shots Against 33.2
Goals For 3.0
Goals Against 3.1
Hits 20.8
Shots Blocked 9.1
Pim 7.1
Schedule
DateMatchup Result Detail
2019-10-03JetsJets@JetsRangersJets3,Rangers2 (OT)RECAP
2019-10-04JetsJets@JetsDevilsJets2,Devils3RECAP
2019-10-06JetsJets@JetsIslandersJets2,Islanders3RECAP
2019-10-08JetsJets@JetsPenguinsJets2,Penguins5RECAP
2019-10-10JetsWild@JetsJetsWild3,Jets4 (OT)RECAP
2019-10-12JetsJets@JetsBlackhawksJets5,Blackhawks1RECAP
2019-10-13JetsPenguins@JetsJetsPenguins1,Jets2RECAP
2019-10-15JetsCoyotes@JetsJetsCoyotes1,Jets4RECAP
2019-10-17JetsIslanders@JetsJetsIslanders4,Jets3 (OT)RECAP
2019-10-20JetsOilers@JetsJetsOilers3,Jets1RECAP
2019-10-22JetsKings@JetsJetsKings5,Jets4 (OT)RECAP
2019-10-26JetsFlames@JetsJetsFlames3,Jets5RECAP
2019-10-29JetsJets@JetsDucksJets3,Ducks5RECAP
2019-11-01JetsJets@JetsSharksJets4,Sharks3 (SO)RECAP
2019-11-02JetsJets@JetsGolden KnightsJets2,Golden Knights6RECAP
2019-11-05JetsDevils@JetsJetsDevils3,Jets2RECAP
2019-11-08JetsCanucks@JetsJetsCanucks2,Jets7RECAP
2019-11-10JetsStars@JetsJetsStars2,Jets3 (OT)RECAP
2019-11-12JetsAvalanche@JetsJetsAvalanche3,Jets6RECAP
2019-11-14JetsJets@JetsPanthersJets5,Panthers3RECAP
2019-11-16JetsJets@JetsLightningJets2,Lightning3RECAP
2019-11-19JetsJets@JetsPredatorsJets2,Predators3RECAP
2019-11-21JetsJets@JetsStarsJets0,Stars3RECAP
2019-11-23JetsBlue Jackets@JetsJetsBlue Jackets2,Jets1 (OT)RECAP
2019-11-27JetsJets@JetsSharksJets1,Sharks3RECAP
2019-11-29JetsJets@JetsDucksJets4,Ducks6RECAP
2019-11-30JetsJets@JetsKingsJets1,Kings4RECAP
2019-12-03JetsStars@JetsJetsStars1,Jets3RECAP
2019-12-05JetsJets@JetsStarsJets5,Stars4 (SO)RECAP
2019-12-08JetsDucks@JetsJets
2019-12-10JetsRed Wings@JetsJets
2019-12-12JetsJets@JetsRed Wings
2019-12-15JetsFlyers@JetsJets
2019-12-17JetsHurricanes@JetsJets
2019-12-19JetsBlackhawks@JetsJets
2019-12-21JetsJets@JetsWild
2019-12-23JetsCanadiens@JetsJets
2019-12-27JetsBlues@JetsJets
2019-12-29JetsJets@JetsBlues
2019-12-31JetsJets@JetsAvalanche
2020-01-02JetsMaple Leafs@JetsJets
2020-01-04JetsJets@JetsWild
2020-01-06JetsJets@JetsCanadiens
2020-01-08JetsJets@JetsMaple Leafs
2020-01-09JetsJets@JetsBruins
2020-01-12JetsPredators@JetsJets
2020-01-14JetsCanucks@JetsJets
2020-01-17JetsLightning@JetsJets
2020-01-19JetsJets@JetsBlackhawks
2020-01-21JetsJets@JetsHurricanes
2020-01-22JetsJets@JetsBlue Jackets
2020-01-31JetsBruins@JetsJets
2020-02-01JetsBlues@JetsJets
2020-02-04JetsPredators@JetsJets
2020-02-06JetsJets@JetsBlues
2020-02-08JetsSenators@JetsJets
2020-02-09JetsBlackhawks@JetsJets
2020-02-11JetsRangers@JetsJets
2020-02-14JetsSharks@JetsJets
2020-02-16JetsBlackhawks@JetsJets
2020-02-18JetsKings@JetsJets
2020-02-20JetsJets@JetsSenators
2020-02-22JetsJets@JetsFlyers
2020-02-23JetsJets@JetsSabres
Trade Deadline --- Trades cant be done after this day is simulated!
2020-02-25JetsJets@JetsCapitals
2020-02-27JetsCapitals@JetsJets
2020-02-29JetsJets@JetsOilers
2020-03-03JetsSabres@JetsJets
2020-03-06JetsGolden Knights@JetsJets
2020-03-09JetsCoyotes@JetsJets
2020-03-11JetsJets@JetsOilers
2020-03-14JetsJets@JetsFlames
2020-03-15JetsJets@JetsCanucks
2020-03-17JetsPanthers@JetsJets
2020-03-20JetsWild@JetsJets
2020-03-22JetsJets@JetsStars
2020-03-24JetsJets@JetsPredators
2020-03-27JetsAvalanche@JetsJets
2020-03-29JetsGolden Knights@JetsJets
2020-03-31JetsJets@JetsFlames
2020-04-02JetsJets@JetsAvalanche
2020-04-04JetsJets@JetsCoyotes

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
84,669,999$ -300,000$ 81,484,098$ 15,902$

ArenaGoal HornAbout us
NameBell MTS Place
CityWinnipeg
Capacity18545
Season Ticket Holders80%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000254540001000
Ticket Price138$117$88$51$236$
Attendance7374361665310235108912786
Attendance PCT94.54%94.87%93.77%98.25%98.35%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
28 17716 - 95.53% 2,905,488$37,771,342$18545115

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
84,669,999$ 84,669,999$ 0$ -300,000$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
30,594,239$ 447,151$ 28,573,129$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
81,353,660$ 119 471,344$ 56,089,936$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
57,290,240$ 81,484,098$ 117,649,541$ 145,593,761$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Kyle ConnorAGE:22JetsUSA
Nikolaj EhlersAGE:23JetsDNK
Tomas TatarAGE:29JetsSVK
Andrew CoppAGE:25JetsUSA
Alex DeBrincatAGE:21JetsUSA
Jansen HarkinsAGE:22JetsUSA
Skyler McKenzieAGE:21JetsCAN
CJ SuessAGE:25JetsUSA
Nicolas KerdilesAGE:25JetsUSA
Mark ScheifeleAGE:26JetsCAN
Nick SchmaltzAGE:23JetsUSA
Jean-Gabriel PageauAGE:27JetsCAN
Adam LowryAGE:26JetsUSA
Andrew CoppAGE:25JetsUSA
Aleksi HeponiemiAGE:20JetsFIN
Marko DanoAGE:25JetsAUT
Jason SpezzaAGE:36JetsCAN
Michael SpacekAGE:22JetsCZE
Mark LetestuAGE:34JetsCAN
Micheal HaleyAGE:33JetsCAN
Tanner PondAGE:26JetsUSA
Paul CareyAGE:31JetsUSA
Mats ZuccarelloAGE:32JetsNOR
Tomas TatarAGE:29JetsSVK
Cal ClutterbuckAGE:32JetsCAN
Alex DeBrincatAGE:21JetsUSA
Mark LetestuAGE:34JetsCAN
Steve BernierAGE:34JetsCAN
Adam ChapieAGE:28JetsUSA
Ben SextonAGE:28JetsCAN
JC LiponAGE:26JetsCAN

Defense #1Defense #2Goalie
Dustin ByfuglienAGE:34JetsUSA
Niklas HjalmarssonAGE:32JetsSWE
Mattias EkholmAGE:29JetsSWE
Josh MorrisseyAGE:24JetsCAN
Ben ChiarotAGE:28JetsCAN
Bowen ByramAGE:18JetsCAN
Logan StanleyAGE:21JetsCAN
Tucker PoolmanAGE:26JetsUSA
Sami NikuAGE:23JetsFIN
Sean DayAGE:21JetsCAN
Luke GreenAGE:21JetsCAN
Andrew CampbellAGE:31JetsCAN
Brandon CrawleyAGE:22JetsUSA
Josh JacobsAGE:23JetsUSA
Nelson NogierAGE:23JetsCAN
Zachary LeslieAGE:25JetsCAN
Connor HellebuyckAGE:26JetsUSA
Calvin PickardAGE:27JetsCAN
Dustin TokarskiAGE:30JetsCAN
Scott DarlingAGE:30JetsUSA

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** Conditional Draft Pick That Have Been Traded
Prospects
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
Prospect Team NameDraft Year Overall Pick Information Lien
Aaron HuglenJetsJets20191150
Arturs SilovsJetsJets20191730
Arvid HolmJetsJets20171670
Cole SchwindtJetsJets2019940
Connor CorcoranJetsJets20181530
Croix EvingsonJetsJets20172110
Hunter DrewJetsJets20181840
Isak WaltherJetsJets20191960
Ivan TeleginJetsJets20101010
Jacob CederholmJetsJets2016970
Jayden StrubleJetsJets2019450
Johnathan KovacevicJetsJets2017740
Nikita OkhotyukJetsJets2019800
Pavel KraskovskyJetsJets20141640
Santeri VirtanenJetsJets20171050
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** Conditional Draft Pick That Have Been Traded
Prospects
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
Prospect Team NameDraft Year Overall Pick Information Lien
Aaron HuglenJetsJets20191150
Arturs SilovsJetsJets20191730
Arvid HolmJetsJets20171670
Cole SchwindtJetsJets2019940
Connor CorcoranJetsJets20181530
Croix EvingsonJetsJets20172110
Hunter DrewJetsJets20181840
Isak WaltherJetsJets20191960
Ivan TeleginJetsJets20101010
Jacob CederholmJetsJets2016970
Jayden StrubleJetsJets2019450
Johnathan KovacevicJetsJets2017740
Nikita OkhotyukJetsJets2019800
Pavel KraskovskyJetsJets20141640
Santeri VirtanenJetsJets20171050
News





























































































































































































































































Injuries
Bowen Byram is out for the rest of the season because of a Junior.

Game Center

Stars20-7-4, 44pts13Final
Jets13-13-3, 29pts

Jets13-13-3, 29pts54Final
Stars20-7-4, 44pts

Ducks10-13-6, 26ptsSun, Dec 08Bell MTS Place
Jets13-13-3, 29pts

Red Wings5-18-8, 18ptsTue, Dec 10Bell MTS Place
Jets13-13-3, 29pts

Jets13-13-3, 29ptsThu, Dec 12Little Caesars Arena
Red Wings5-18-8, 18pts

Team Leaders

GOALS
Mark Scheifele
16
ASSISTS
Josh Morrissey
21
POINTS
Mark Scheifele
32
PLUS/MINUS
Mark Scheifele
14
WINS
Connor Hellebuyck
11
SV%
Connor Hellebuyck
0.912

Team Stats


Goals For
88
3.03 GFG
Shots For
962
33.17 Avg
Power Play Percentage
12.5%
12 GF
Offensive Zone Start
50.4%
Goals Against
90
3.10 GAA
Shots Against
964
33.24 Avg
Penalty Kill Percentage
81.0%
16 GA
Defensive Zone Start
49.6%
 

Team Info

Jets
General ManagerPatrick Dupont
Head CoachRick Tocchet
ConferenceWestern Conference
DivisionCentral

Jets Affiliation

Jets
Team NameMoose
CityManitoba
Head CoachPascal Vincent
DivisionCentrale

Arena Info

StadiumBell MTS Place
Capacity18,545
Attendance17,716
Season Tickets14,836

Salary Cap

Total Cap Hit81,484,098$
Cap Hit Percentage99.98%
Projected Cap Space15,902$
Retains & Buyout-300,000$

Finance

Team Revenue37,771,342$
Estimated Revenue123,005,802$
Estimated Expenses86,684,175$
Operating Income36,321,627$
Bank Account117,649,541$

Tickets

Section 100138$ | 94.54%
Section 200117$ | 94.87%
Section 30088$ | 93.77%
Section 40051$ | 98.25%
Suites236$ | 98.35%

Team History

201913-13-3 (29PTS)
Record (W-L-OTL)55-46-10 (89PTS)
Playoff Appearances1
Playoff Record (W-L)7-5
Stanley Cup0

Entry Draft