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Broncos
GP: 72 | W: 31 | L: 29 | OTL: 12 | P: 74
GF: 261 | GA: 297 | PP%: 25.17% | PK%: 65.41%
GM : Alain Lefebvre | Morale : 34 | Team Overall : 57
Next Games #816 vs Lynx

Game Center
Wombats
41-21-9, 91pts
3
FINAL
1 Broncos
31-29-12, 74pts
Team Stats
W1StreakOTL1
19-15-3Home Record17-17-3
22-6-6Home Record14-12-9
7-3-0Last 10 Games5-2-3
4.52Goals Per Game3.63
3.92Goals Against Per Game4.13
20.83%Power Play Percentage25.17%
82.07%Penalty Kill Percentage65.41%
Admirals
28-41-4, 60pts
3
FINAL
2 Broncos
31-29-12, 74pts
Team Stats
L1StreakOTL1
13-22-2Home Record17-17-3
15-19-2Home Record14-12-9
6-3-1Last 10 Games5-2-3
3.81Goals Per Game3.63
4.79Goals Against Per Game4.13
24.26%Power Play Percentage25.17%
70.34%Penalty Kill Percentage65.41%
Lynx
37-34-1, 75pts
Day 160
Broncos
31-29-12, 74pts
Team Stats
W3StreakOTL1
18-18-1Home Record17-17-3
19-16-0Away Record14-12-9
4-6-0Last 10 Games5-2-3
4.00Goals Per Game3.63
4.13Goals Against Per Game3.63
29.86%Power Play Percentage25.17%
82.67%Penalty Kill Percentage65.41%
Broncos
31-29-12, 74pts
Day 162
Barons
31-36-6, 68pts
Team Stats
OTL1StreakL1
17-17-3Home Record17-16-4
14-12-9Away Record14-20-2
5-2-3Last 10 Games3-7-0
3.63Goals Per Game3.60
4.13Goals Against Per Game3.60
25.17%Power Play Percentage22.01%
65.41%Penalty Kill Percentage79.07%
Butter Knives
27-37-8, 62pts
Day 165
Broncos
31-29-12, 74pts
Team Stats
L8StreakOTL1
16-17-4Home Record17-17-3
11-20-4Away Record14-12-9
0-9-1Last 10 Games5-2-3
4.60Goals Per Game3.63
5.21Goals Against Per Game3.63
20.55%Power Play Percentage25.17%
74.74%Penalty Kill Percentage65.41%
Team Leaders
Jonatan BerggrenGoals
Jonatan Berggren
36
Conor GeekieAssists
Conor Geekie
49
Conor GeekiePoints
Conor Geekie
77
Isaak PhillipsPlus/Minus
Isaak Phillips
18
Jonas JohanssonWins
Jonas Johansson
23
Jonas JohanssonSave Percentage
Jonas Johansson
0.875

Team Stats
Goals For
261
3.63 GFG
Shots For
2082
28.92 Avg
Power Play Percentage
25.2%
36 GF
Offensive Zone Start
38.2%
Goals Against
297
4.13 GAA
Shots Against
2355
32.71 Avg
Penalty Kill Percentage
65.4%%
46 GA
Defensive Zone Start
39.2%
Team Info

General ManagerAlain Lefebvre
CoachMartin St. Louis
DivisionMetropolitan
ConferenceEastern Conference
CaptainHendrix Lapierre
Assistant #1Conor Geekie
Assistant #2Emil Andrae


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team27
Farm Team18
Contract Limit45 / 50
Prospects14


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 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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Jonatan BerggrenX100.00625690707072867550666857516263049640251500,000$
2Conor Geekie (R) (A)XX100.00795785697771696957666659515658073630214500,000$
3Yakov TreninXX100.00876279647271866250635969506869056630291500,000$
4Kasperi KapanenX100.00735688646970796254635761507168062610291500,000$
5Rasmus KupariXX100.00735688647267736073605768506466060610253500,000$
6Marat Khusnutdinov (R)XX100.00635588666370855960615365506062058600232500,000$
7Christian FischerX100.00796593657668656250615063506969057600282500,000$
8Hendrix Lapierre (C)XX100.00575592656564566254675056506062034570241500,000$
9Fraser Minten (R)X100.00715595627265565964545654505759064560212500,000$
10Olle LycksellX100.00525394585563555350604951506566044530263500,000$
11Ryan SuzukiX100.00503589577050505050505050506060023510244500,000$
12Urho VaakanainenX100.00605983637470707450705472556668053640272500,000$
13Emil Andrae (R) (A)X100.00715880696872666950615467556063049630242500,000$
14Jacob Bernard-DockerX100.00666684607163636750615568556466065610251500,000$
15Simon NemecX100.00506075677065586750575767565660063600222500,000$
16Isaak PhillipsX100.00493595597650515050505151576267055530242500,000$
17Daemon HuntX100.00493595597450505050495050556064029520233500,000$
Scratches
1Brendan BrissonXX100.00525089577050515050505050505657017510242500,000$
2Karsen DorwartX100.00504079576950515052515050505759019510233750,000$
3Raphael LavoieXX100.00575788577850524950494949506161019510253500,000$
4Michael MilneX100.00543589576550505050505050505658019510234500,000$
5Jaret Anderson-DolanXX100.00645972577150515050505050506363020510261500,000$
6Brad LambertXX100.00504079576150525050505050505356019500222500,000$
7Ryan GreeneX100.00503589576150525050505050505357020500224500,000$
8David JiricekX100.00546076597650535150495050565660049530221500,000$
TEAM AVERAGE100.0061528662706061585357535752616204356
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 SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jonas Johansson100.0071697081686564656352607172023660301500,000$
2Aleksei Kolosov (R)100.0060686570636360575550505758026590243950,000$
Scratches
TEAM AVERAGE100.006669687666646261595155646502563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Martin St. Louis8096997070701CAN505500,000$


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
1Conor GeekieBroncos (HAR)C/RW7228497762001431472517519511.16%20142919.8651015241110223634351.69%150500011.08130005131
2Jonatan BerggrenBroncos (HAR)RW58363672060321052297116615.72%4141324.3652720900002855246.31%24400021.0228000655
3Urho VaakanainenBroncos (HAR)D60184361-12180438874265424.32%94141623.61781530109000091100%000100.8600000335
4Josh DoanHartford WhalersRW54303060-3100421052265514213.27%14124823.1206621850110652144.59%15700000.9625000554
5Simon NemecBroncos (HAR)D70164157-242557599112387814.29%159167423.9235819690000473028.57%1400010.6800001145
6Yakov TreninBroncos (HAR)C/LW69263157-133202101222005412013.00%33142320.634711211091015872247.99%97100000.8019000825
7Rasmus KupariBroncos (HAR)C/RW69183250-12200771201655413610.91%22112216.262464350001372262.09%99700010.8900000122
8Kasperi KapanenBroncos (HAR)RW72173148-410074661503311011.33%15121016.8101112480000132048.10%7900000.7912000443
9Jacob Bernard-DockerBroncos (HAR)D6964147-64315137488532547.06%120140720.392682096000083000%000000.6700101333
10Marat KhusnutdinovBroncos (HAR)C/LW71152237-340287416431849.15%11124217.50145201160001231151.58%9500000.6000000314
11Emil AndraeBroncos (HAR)D59122335-173801296270274517.14%80135823.0264102789000071010%000000.5200000213
12Alex NewhookHartford WhalersC32161834-31207286141397911.35%974323.230448490002403252.38%80000000.9114000172
13Drew HellesonHartford WhalersD32111627-326101094355143520.00%4674923.431452159000140010%000000.7200101124
14Christian FischerBroncos (HAR)RW69101525-660756411237918.93%1787312.66000010001162258.82%6800000.5700000211
15Hendrix LapierreBroncos (HAR)C/RW7291524-2240179689357710.11%1496213.3700018000082149.89%90400000.5000000111
16Fraser MintenBroncos (HAR)C7371320-480575410731736.54%10106714.620114120001461053.44%64000000.3700000102
17Isaak PhillipsBroncos (HAR)D63481218802914174923.53%46120219.091013730000620066.67%600000.2011000100
18Daemon HuntBroncos (HAR)D6021012-6100342123878.70%5299316.5600018112228000%000000.2400000011
19David JiricekBroncos (HAR)D621910-1926010312189105.56%61105417.01101312000039100%000000.1900000011
20Olle LycksellBroncos (HAR)RW56279-2000824309306.67%858710.4901108000010041.79%6700000.3100000001
21Sean WalkerHartford WhalersD8055-640899550%1118423.0102231200017000%000000.5400000000
22Matt SavoieHartford WhalersC/RW17134-500318186225.56%223013.5800018000081048.26%17200000.3502000000
23Karsen DorwartBroncos (HAR)LW5033-320266360%19218.45011110000000042.86%700000.6500000000
24Jaret Anderson-DolanBroncos (HAR)LW/RW1512312020341925.00%124616.44011024000000057.14%1400000.2400000010
25Brendan BrissonBroncos (HAR)LW/RW5112-5001321750.00%010020.1810118000000066.67%600000.4000000000
26Raphael LavoieBroncos (HAR)C/RW19011000343000%21156.0900002000040052.83%5300000.1700000000
27Michael MilneBroncos (HAR)LW210110000103100.00%03819.0100006000000020.00%500000.5300000000
28Brad LambertBroncos (HAR)C/RW3000-300001010%0227.640000200000000%20000000000000
29Ryan SuzukiBroncos (HAR)C5000200100020%0234.6000001000020080.00%50000000000000
Team Total or Average1321288505793-17133430153214932362698165012.19%8522423618.353971110265127424620978321852.15%681100150.65934203485753
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
1Jonas JohanssonBroncos (HAR)53231770.8753.9628664018915110220.769264920001
2Aleksei KolosovBroncos (HAR)3071150.8744.07141700967640000.80052247000
3Joonas KorpisaloHartford Whalers11000.9333.0060003450000010000
Team Total or Average843128120.8763.984344402882320022317267001


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 By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force 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
Aleksei KolosovBroncos (HAR)G242002-01-04BLRYes185 Lbs6 ft1NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm950,000$95,000$11,083$No950,000$950,000$-------950,000$950,000$-------NoNo-------Link / NHL Link
Brad LambertBroncos (HAR)C/RW222003-12-19FINNo173 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Brendan BrissonBroncos (HAR)LW/RW242001-10-22USANo198 Lbs6 ft0NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Christian FischerBroncos (HAR)RW281997-04-15USANo212 Lbs6 ft2NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Conor GeekieBroncos (HAR)C/RW212004-05-05CANYes207 Lbs6 ft4NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Daemon HuntBroncos (HAR)D232002-05-15CANNo201 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
David JiricekBroncos (HAR)D222003-11-28CZENo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Emil AndraeBroncos (HAR)D242002-02-23SWEYes189 Lbs5 ft9NoNoTrade2024-08-15NoNo22024-08-10FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Fraser MintenBroncos (HAR)C212004-07-05CANYes195 Lbs6 ft2NoNoTrade2025-12-20NoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Hendrix LapierreBroncos (HAR)C/RW242002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Isaak PhillipsBroncos (HAR)D242001-09-28CANNo205 Lbs6 ft3NoNoFree Agent2024-08-25NoNo22025-07-23FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Jacob Bernard-DockerBroncos (HAR)D252000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Jaret Anderson-DolanBroncos (HAR)LW/RW261999-09-12CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Jonas JohanssonBroncos (HAR)G301995-09-19SWENo218 Lbs6 ft5NoNoTrade2025-08-05NoNo12025-08-04FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Jonatan BerggrenBroncos (HAR)RW252000-07-16SWENo197 Lbs5 ft11NoNoTrade2025-06-25NoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Karsen DorwartBroncos (HAR)LW232002-09-17USANo194 Lbs6 ft1NoNoFree AgentNoNo32025-08-17FalseFalsePro & Farm750,000$75,000$8,750$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Kasperi KapanenBroncos (HAR)RW291996-07-23FINNo194 Lbs6 ft1NoNoN/ANoNo12024-08-19FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Marat KhusnutdinovBroncos (HAR)C/LW232002-07-17RUSYes176 Lbs5 ft11NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Michael MilneBroncos (HAR)LW232002-09-21CANNo185 Lbs5 ft11NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Olle LycksellBroncos (HAR)RW261999-08-24SWENo163 Lbs5 ft10NoNoN/ANoNo32024-08-13FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Raphael LavoieBroncos (HAR)C/RW252000-09-25CANNo215 Lbs6 ft4NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Rasmus KupariBroncos (HAR)C/RW252000-03-15FINNo201 Lbs6 ft2NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Ryan GreeneBroncos (HAR)C222003-10-21CANNo174 Lbs6 ft1NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Ryan SuzukiBroncos (HAR)C242001-05-28CANNo196 Lbs6 ft1NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Simon NemecBroncos (HAR)D222004-02-15SVKNo190 Lbs6 ft1NoNoTrade2026-03-06NoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Urho VaakanainenBroncos (HAR)D271999-01-01FINNo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Yakov TreninBroncos (HAR)C/LW291997-01-13RUSNo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2724.48195 Lbs6 ft12.22525,926$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Yakov TreninConor GeekieJonatan Berggren40122
2Marat KhusnutdinovRasmus KupariKasperi Kapanen30122
3Jonatan BerggrenHendrix LapierreChristian Fischer20122
4Conor GeekieFraser MintenOlle Lycksell10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenEmil Andrae40122
2Jacob Bernard-DockerSimon Nemec30122
3Isaak PhillipsDaemon Hunt20122
4Urho VaakanainenEmil Andrae10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Yakov TreninConor GeekieJonatan Berggren60122
2Marat KhusnutdinovRasmus KupariKasperi Kapanen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenEmil Andrae60122
2Jacob Bernard-DockerSimon Nemec40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jonatan BerggrenConor Geekie60122
2Yakov TreninRasmus Kupari40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenEmil Andrae60122
2Jacob Bernard-DockerSimon Nemec40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jonatan Berggren60122Urho VaakanainenEmil Andrae60122
2Conor Geekie40122Jacob Bernard-DockerSimon Nemec40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jonatan BerggrenConor Geekie60122
2Yakov TreninRasmus Kupari40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenEmil Andrae60122
2Jacob Bernard-DockerSimon Nemec40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Yakov TreninConor GeekieJonatan BerggrenUrho VaakanainenEmil Andrae
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Yakov TreninConor GeekieJonatan BerggrenUrho VaakanainenEmil Andrae
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Suzuki, Christian Fischer, Hendrix LapierreRyan Suzuki, Christian FischerHendrix Lapierre
Extra Defensemen
Normal PowerPlayPenalty Kill
Isaak Phillips, Daemon Hunt, Jacob Bernard-DockerIsaak PhillipsDaemon Hunt, Jacob Bernard-Docker
Penalty Shots
Jonatan Berggren, Conor Geekie, Yakov Trenin, Rasmus Kupari, Kasperi Kapanen
Goalie
#1 : Aleksei Kolosov, #2 : Jonas Johansson


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
1Aces2020000047-31010000013-21010000034-100.0004812008682869516636607286235114323133.33%000%01111217051.20%1186222653.28%697128054.45%179612671647495946483
2Admirals63100110181713100011012843210000069-390.75018314900868286913866366072862132392810512325.00%13469.23%01111217051.20%1186222653.28%697128054.45%179612671647495946483
3Americiens504000102231-9303000001219-7201000101012-220.20022375900868286916866366072862221561811011436.36%9366.67%01111217051.20%1186222653.28%697128054.45%179612671647495946483
4Barons3300000016971100000052322000000117461.000162945008682869676636607286273241357100.00%6183.33%01111217051.20%1186222653.28%697128054.45%179612671647495946483
5Barracuda21100000990110000007611010000023-120.50091726008682869656636607286259221947500.00%7442.86%01111217051.20%1186222653.28%697128054.45%179612671647495946483
6Bruins42000020171252100001074321000010108281.00017244100868286983663660728621163618819333.33%8362.50%01111217051.20%1186222653.28%697128054.45%179612671647495946483
7Butter Knives11000000422000000000001100000042221.000471100868286932663660728623811424200.00%20100.00%01111217051.20%1186222653.28%697128054.45%179612671647495946483
8Canucks31200000711-4211000006511010000016-520.333712190086828698566366072862902013544125.00%4325.00%01111217051.20%1186222653.28%697128054.45%179612671647495946483
9Fighting Pandas623000011624-8522000011518-31010000016-550.417162945008682869155663660728621424889512325.00%4250.00%11111217051.20%1186222653.28%697128054.45%179612671647495946483
10Firebirds713001112834-6412000101619-3301001011215-360.42928507800868286919766366072862270743013119210.53%15380.00%01111217051.20%1186222653.28%697128054.45%179612671647495946483
11Griffins20100100813-51000010056-11010000037-410.250814220086828696766366072862902512456466.67%6350.00%11111217051.20%1186222653.28%697128054.45%179612671647495946483
12Ice Bats21100000981110000005321010000045-120.50091726008682869626636607286286266414125.00%3233.33%01111217051.20%1186222653.28%697128054.45%179612671647495946483
13Lions20100001711-41010000047-31000000134-110.2507121900868286977663660728629518103322100.00%5340.00%01111217051.20%1186222653.28%697128054.45%179612671647495946483
14Lynx21100000954000000000002110000095420.5009172600868286962663660728625016640200.00%3233.33%01111217051.20%1186222653.28%697128054.45%179612671647495946483
15Marlies513001001220-820200000512-73110010078-130.300122335008682869126663660728621465038877114.29%15566.67%01111217051.20%1186222653.28%697128054.45%179612671647495946483
16Nordiks42100010201911010000026-4320000101813560.7502036560086828691766636607286218153319613323.08%13284.62%01111217051.20%1186222653.28%697128054.45%179612671647495946483
17Quacken2110000068-21010000026-41100000042220.500691500868286943663660728625620429100.00%20100.00%01111217051.20%1186222653.28%697128054.45%179612671647495946483
18Roadrunners611013001822-431101000910-130000300912-370.58318294700868286914766366072862192642510814321.43%8275.00%01111217051.20%1186222653.28%697128054.45%179612671647495946483
19Tomahawks11000000431110000004310000000000021.0004812008682869446636607286235132233266.67%10100.00%01111217051.20%1186222653.28%697128054.45%179612671647495946483
20Wombats613001012329-631200000810-2301001011519-440.33323406320868286918966366072862207491811311327.27%9455.56%01111217051.20%1186222653.28%697128054.45%179612671647495946483
21Wranglers11000000431110000004310000000000021.00046100086828694866366072862419028200.00%000%01111217051.20%1186222653.28%697128054.45%179612671647495946483
Total72242901864261297-3637131701231129150-2135111200633132147-15740.514261455716208682869208266366072862235568430713791433625.17%1334665.41%21111217051.20%1186222653.28%697128054.45%179612671647495946483
_Since Last GM Reset72242901864261297-3637131701231129150-2135111200633132147-15740.514261455716208682869208266366072862235568430713791433625.17%1334665.41%21111217051.20%1186222653.28%697128054.45%179612671647495946483
_Vs Conference48131901753167196-29257120113184100-162367006228396-13480.5001672874542086828691297663660728621514443193894992222.22%862867.44%11111217051.20%1186222653.28%697128054.45%179612671647495946483
_Vs Division2168016227793-161145011204143-21023005023650-14260.619771352122086828695916636607286269918788394481225.00%431467.44%11111217051.20%1186222653.28%697128054.45%179612671647495946483

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7274OTL126145571620822355684307137920
All Games
GPWLOTWOTL SOWSOLGFGA
7224291864261297
Home Games
GPWLOTWOTL SOWSOLGFGA
3713171231129150
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3511120633132147
Last 10 Games
WLOTWOTL SOWSOL
320320
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1433625.17%1334665.41%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
663660728628682869
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1111217051.20%1186222653.28%697128054.45%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
179612671647495946483


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
28Wombats3Broncos5WBoxScore
518Broncos7Nordiks4WBoxScore
729Broncos5Roadrunners6LXBoxScore
938Fighting Pandas2Broncos1LBoxScore
1251Broncos4Firebirds5LXBoxScore
1361Fighting Pandas3Broncos6WBoxScore
1676Roadrunners2Broncos3WBoxScore
1990Broncos1Marlies2LBoxScore
20100Firebirds5Broncos3LBoxScore
23112Firebirds7Broncos3LBoxScore
27131Broncos5Barons3WBoxScore
29138Fighting Pandas3Broncos5WBoxScore
32155Americiens6Broncos3LBoxScore
33159Broncos3Admirals2WBoxScore
34164Broncos2Wombats4LBoxScore
38182Roadrunners6Broncos3LBoxScore
41194Broncos1Canucks6LBoxScore
43203Canucks4Broncos2LBoxScore
46216Broncos3Aces4LBoxScore
48226Fighting Pandas7Broncos1LBoxScore
49238Broncos2Roadrunners3LXBoxScore
51247Firebirds3Broncos5WBoxScore
53262Broncos7Nordiks6WBoxScore
55270Bruins2Broncos4WBoxScore
57283Broncos3Griffins7LBoxScore
58291Barracuda6Broncos7WBoxScore
62307Broncos3Marlies2WBoxScore
63314Marlies6Broncos2LBoxScore
66326Broncos3Lions4LXXBoxScore
68335Wombats4Broncos2LBoxScore
70350Broncos3Marlies4LXBoxScore
72357Americiens7Broncos5LBoxScore
74366Broncos3Firebirds4LBoxScore
76378Admirals1Broncos5WBoxScore
78389Broncos0Admirals5LBoxScore
80400Wranglers3Broncos4WBoxScore
82413Broncos3Admirals2WBoxScore
84422Barons2Broncos5WBoxScore
86434Broncos2Roadrunners3LXBoxScore
89444Lions7Broncos4LBoxScore
94466Aces3Broncos1LBoxScore
97481Broncos4Quacken2WBoxScore
98488Ice Bats3Broncos5WBoxScore
101506Broncos4Nordiks3WXXBoxScore
102511Tomahawks3Broncos4WBoxScore
105524Broncos2Barracuda3LBoxScore
106533Roadrunners2Broncos3WXBoxScore
109551Quacken6Broncos2LBoxScore
111558Broncos5Bruins4WXXBoxScore
112567Broncos1Fighting Pandas6LBoxScore
114577Fighting Pandas3Broncos2LXXBoxScore
118594Marlies6Broncos3LBoxScore
120607Broncos4Ice Bats5LBoxScore
122617Broncos4Americiens7LBoxScore
123622Nordiks6Broncos2LBoxScore
125639Americiens6Broncos4LBoxScore
127649Broncos6Barons4WBoxScore
128653Broncos5Firebirds6LXXBoxScore
131663Broncos6Americiens5WXXBoxScore
132668Canucks1Broncos4WBoxScore
134683Broncos7Wombats8LXXBoxScore
135689Firebirds4Broncos5WXXBoxScore
138704Broncos6Wombats7LXBoxScore
140712Griffins6Broncos5LXBoxScore
142722Broncos5Bruins4WBoxScore
144731Broncos2Lynx4LBoxScore
145736Admirals4Broncos5WXXBoxScore
147750Broncos7Lynx1WBoxScore
148754Broncos4Butter Knives2WBoxScore
149763Bruins2Broncos3WXXBoxScore
153781Wombats3Broncos1LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
157799Admirals3Broncos2LXBoxScore
160816Lynx-Broncos-
162823Broncos-Barons-
165839Butter Knives-Broncos-
168850Broncos-Tomahawks-
170859Lynx-Broncos-
171863Broncos-Wranglers-
173875Broncos-Fighting Pandas-
175882Broncos-Wranglers-
176890Broncos-Butter Knives-
178901Butter Knives-Broncos-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,844,819$ 1,420,000$ 1,420,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,420,000$ 1,403,192$ 27 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 21 10,667$ 224,007$




Broncos 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

Broncos Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Broncos 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

Broncos 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

Broncos Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA