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Broncos
GP: 51 | W: 22 | L: 22 | OTL: 7 | P: 51
GF: 171 | GA: 203 | PP%: 21.36% | PK%: 63.74%
GM : Alain Lefebvre | Morale : 38 | Team Overall : 57
Next Games #594 vs Marlies

Game Center
Broncos
22-22-7, 51pts
1
FINAL
6 Fighting Pandas
30-17-7, 67pts
Team Stats
SOL1StreakSOW1
13-13-1Home Record12-8-6
9-9-6Home Record18-9-1
6-3-1Last 10 Games7-3-0
3.35Goals Per Game4.28
3.98Goals Against Per Game3.43
21.36%Power Play Percentage23.53%
63.74%Penalty Kill Percentage80.30%
Fighting Pandas
30-17-7, 67pts
3
FINAL
2 Broncos
22-22-7, 51pts
Team Stats
SOW1StreakSOL1
12-8-6Home Record13-13-1
18-9-1Home Record9-9-6
7-3-0Last 10 Games6-3-1
4.28Goals Per Game3.35
3.43Goals Against Per Game3.98
23.53%Power Play Percentage21.36%
80.30%Penalty Kill Percentage63.74%
Marlies
36-15-3, 75pts
Day 118
Broncos
22-22-7, 51pts
Team Stats
L1StreakSOL1
18-6-2Home Record13-13-1
18-9-1Away Record9-9-6
8-2-0Last 10 Games6-3-1
4.37Goals Per Game3.35
3.20Goals Against Per Game3.35
26.72%Power Play Percentage21.36%
75.94%Penalty Kill Percentage63.74%
Broncos
22-22-7, 51pts
Day 120
Ice Bats
18-26-9, 45pts
Team Stats
SOL1StreakL2
13-13-1Home Record8-16-3
9-9-6Away Record10-10-6
6-3-1Last 10 Games3-7-0
3.35Goals Per Game4.17
3.98Goals Against Per Game4.17
21.36%Power Play Percentage26.79%
63.74%Penalty Kill Percentage76.47%
Broncos
22-22-7, 51pts
Day 122
Americiens
29-19-2, 60pts
Team Stats
SOL1StreakW2
13-13-1Home Record14-12-1
9-9-6Away Record15-7-1
6-3-1Last 10 Games6-4-0
3.35Goals Per Game4.86
3.98Goals Against Per Game4.86
21.36%Power Play Percentage22.52%
63.74%Penalty Kill Percentage72.36%
Team Leaders
Conor GeekieGoals
Conor Geekie
20
Conor GeekieAssists
Conor Geekie
32
Conor GeekiePoints
Conor Geekie
52
Isaak PhillipsPlus/Minus
Isaak Phillips
14
Jonas JohanssonWins
Jonas Johansson
15
Jonas JohanssonSave Percentage
Jonas Johansson
0.879

Team Stats
Goals For
171
3.35 GFG
Shots For
1460
28.63 Avg
Power Play Percentage
21.4%
22 GF
Offensive Zone Start
38.5%
Goals Against
203
3.98 GAA
Shots Against
1628
31.92 Avg
Penalty Kill Percentage
63.7%%
33 GA
Defensive Zone Start
39.3%
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 Team19
Contract Limit46 / 50
Prospects13


Filter Tips
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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.
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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
1Matt SavoieXX98.00515494706274916459636475545763023640224500,000$
2Josh Doan (R)X100.00685591717273697354676359505861048630232500,000$
3Yakov TreninXX100.00866278647271866250625870506869054630291500,000$
4Conor Geekie (R) (A)XX100.00795785697771696857646560515558067620214500,000$
5Kasperi KapanenX100.00735688646970796254635762507068059610291500,000$
6Rasmus KupariXX100.00735688647267736072605668506466055610253500,000$
7Christian FischerX100.00796593657668656350615063506969054600282500,000$
8Marat Khusnutdinov (R)XX100.00635588656270855860615265505962054590232500,000$
9Hendrix Lapierre (C)XX100.00575592656564566254675057505962042570231500,000$
10Fraser Minten (R)X100.00725595617165566064555655505659062560212500,000$
11Olle LycksellX100.00525394585563555350604952506566048530263500,000$
12Sean WalkerX100.007060746367719365505951706271700386403141,000,000$
13Emil Andrae (R) (A)X100.00715880686772666750605268555962041630232500,000$
14Jacob Bernard-DockerX100.00666684607163636650605568556466061610251500,000$
15Isaak PhillipsX100.00493595587550515050495150576266053530242500,000$
16Daemon HuntX100.00503595587350505050494950555963026520233500,000$
17David JiricekX100.00536076587550535150495050565559047520221500,000$
Scratches
1Brendan BrissonXX100.00525089577050515050505050505657020510242500,000$
2Karsen DorwartX100.00504079576950515052515050505759019510233750,000$
3Raphael LavoieXX100.00575788577850524950494949506161019510253500,000$
4Michael MilneX100.00543589576550505050505050505658019510234500,000$
5Ryan SuzukiX100.00503589577050505050505050506060020510244500,000$
6Jaret Anderson-DolanXX100.00645972577150515050505050506363020510261500,000$
7Brad LambertXX100.00504079576150525050505050505356019500222500,000$
8Ryan GreeneX100.00503589576150525050505050505357020500224500,000$
TEAM AVERAGE99.9262528761696063575356535852606204056
Filter Tips
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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 Johansson100.0071697081686664666352607071028660301500,000$
2Aleksei Kolosov (R)100.0060686570636259575550505758023590243950,000$
Scratches
TEAM AVERAGE100.006669687666646262595155646502663
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Martin St. Louis8096997070701CAN505500,000$


Filter Tips
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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.
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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
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# 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/RW51203252612092851864814110.75%1498419.3127912810112394251.12%107000011.0601000570
2Jonatan BerggrenHartford WhalersRW3723244772023631544610114.94%489924.3032511610002514245.59%13600011.0502000533
3Rasmus KupariBroncos (HAR)C/RW48112536-11120466811435959.65%1775315.702464270001211262.18%58700000.9600000112
4Josh DoanBroncos (HAR)RW38161935-4803172153349710.46%992124.2601115630000501043.09%12300000.7601000144
5Urho VaakanainenHartford WhalersD39102535-8100315543183223.26%5791723.535272077000057100%000000.7600000033
6Yakov TreninBroncos (HAR)C/LW48181735-528014382142367912.68%2096420.0934719791014530247.90%69100000.7314000404
7Alex NewhookHartford WhalersC32161834-31207286141397911.35%974323.230448490002403252.38%80000000.9114000172
8Kasperi KapanenBroncos (HAR)RW51142034-5805441102307913.73%1186817.020118400000132047.46%5900000.7811000342
9Jacob Bernard-DockerBroncos (HAR)D4852429-1281095265119369.80%7598020.432461470000056000%000000.5900101333
10Drew HellesonHartford WhalersD32111627-326101094355143520.00%4674923.431452159000140010%000000.7200101124
11Marat KhusnutdinovBroncos (HAR)C/LW5091423-340195712325697.32%1094418.8902217870000151054.05%7400000.4900000212
12Fraser MintenBroncos (HAR)C5251318-44050468829575.68%882915.950114120001431055.07%55200000.4300000101
13Christian FischerBroncos (HAR)RW488917-660564279246310.13%1160012.51000000001152158.18%5500000.5700000201
14Emil AndraeBroncos (HAR)D3841317-15240733637152810.81%5986522.782241457000041010%000000.3900000101
15Hendrix LapierreBroncos (HAR)C/RW5161016-2040146859285410.17%1268313.4000007000032049.59%60300000.4700000111
16Olle LycksellBroncos (HAR)RW51268-2100820298236.90%753010.4001108000010043.08%6500000.3000000001
17Isaak PhillipsBroncos (HAR)D424371460171091544.44%2478518.69101253000041000%000000.1800000100
18David JiricekBroncos (HAR)D43156-15140646101810.00%3972316.8210139000024100%000000.1700000011
19Sean WalkerBroncos (HAR)D8055-640899550%1118423.0102231200017000%000000.5400000000
20Matt SavoieBroncos (HAR)C/RW17134-500318186225.56%223013.5800018000081048.26%17200000.3502000000
21Daemon HuntBroncos (HAR)D39044-540201314460%3062215.9600015011117000%000000.1300000000
22Karsen DorwartBroncos (HAR)LW5033-320266360%19218.45011110000000042.86%700000.6500000000
23Jaret Anderson-DolanBroncos (HAR)LW/RW1512312020341925.00%124616.44011024000000057.14%1400000.2400000010
24Raphael LavoieBroncos (HAR)C/RW19011000343000%21156.0900002000040052.83%5300000.1700000000
25Michael MilneBroncos (HAR)LW210110000103100.00%03819.0100006000000020.00%500000.5300000000
26Brad LambertBroncos (HAR)C/RW3000-300001010%0227.640000200000000%20000000000000
Team Total or Average907186311497-1172202010539591631469113311.40%4791629717.9722436517892012316649241351.91%506800020.61315202323835
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)36151340.8793.8219484012410290220.83363315001
2Aleksei KolosovBroncos (HAR)226830.8673.98104000695190000.80051731000
3Joonas KorpisaloHartford Whalers11000.9333.0060003450000010000
Team Total or Average59222170.8773.863049401961593022115146001


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$34,833$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$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Brendan BrissonBroncos (HAR)LW/RW242001-10-22USANo198 Lbs6 ft0NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Christian FischerBroncos (HAR)RW281997-04-15USANo212 Lbs6 ft2NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Conor GeekieBroncos (HAR)C/RW212004-05-05CANYes207 Lbs6 ft4NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$18,333$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$18,333$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$18,333$No---------------------------Link / NHL Link
Emil AndraeBroncos (HAR)D232002-02-23SWEYes189 Lbs5 ft9NoNoTrade2024-08-15NoNo22024-08-10FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Fraser MintenBroncos (HAR)C212004-07-05CANYes195 Lbs6 ft2NoNoTrade2025-12-20NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Hendrix LapierreBroncos (HAR)C/RW232002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Isaak PhillipsBroncos (HAR)D242001-09-28CANNo205 Lbs6 ft3NoNoFree Agent2024-08-25NoNo22025-07-23FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Jacob Bernard-DockerBroncos (HAR)D252000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Jaret Anderson-DolanBroncos (HAR)LW/RW261999-09-12CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Jonas JohanssonBroncos (HAR)G301995-09-19SWENo218 Lbs6 ft5NoNoTrade2025-08-05NoNo12025-08-04FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Josh DoanBroncos (HAR)RW232002-02-01USAYes198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Karsen DorwartBroncos (HAR)LW232002-09-17USANo194 Lbs6 ft1NoNoFree AgentNoNo32025-08-17FalseFalsePro & Farm750,000$75,000$27,500$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$18,333$No---------------------------Link / NHL Link
Marat KhusnutdinovBroncos (HAR)C/LW232002-07-17RUSYes176 Lbs5 ft11NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Matt SavoieBroncos (HAR)C/RW222004-01-01CANNo179 Lbs5 ft9NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Michael MilneBroncos (HAR)LW232002-09-21CANNo185 Lbs5 ft11NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$18,333$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$18,333$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$18,333$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$18,333$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$18,333$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$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Sean WalkerBroncos (HAR)D311994-11-13CANNo191 Lbs5 ft11NoNoFree AgentNoYes42025-07-24FalseFalsePro & Farm1,000,000$1,000,000$366,667$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Link / NHL Link
Yakov TreninBroncos (HAR)C/LW291997-01-13RUSNo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2724.48194 Lbs6 ft12.41544,444$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Yakov TreninMatt SavoieJosh Doan40122
2Marat KhusnutdinovConor GeekieKasperi Kapanen30122
3Matt SavoieRasmus KupariChristian Fischer20122
4Josh DoanHendrix LapierreOlle Lycksell10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerEmil Andrae40122
2Jacob Bernard-DockerIsaak Phillips30122
3Daemon HuntDavid Jiricek20122
4Sean WalkerEmil Andrae10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Yakov TreninMatt SavoieJosh Doan60122
2Marat KhusnutdinovConor GeekieKasperi Kapanen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerEmil Andrae60122
2Jacob Bernard-DockerIsaak Phillips40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matt SavoieJosh Doan60122
2Yakov TreninConor Geekie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerEmil Andrae60122
2Jacob Bernard-DockerIsaak Phillips40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matt Savoie60122Sean WalkerEmil Andrae60122
2Josh Doan40122Jacob Bernard-DockerIsaak Phillips40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matt SavoieJosh Doan60122
2Yakov TreninConor Geekie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerEmil Andrae60122
2Jacob Bernard-DockerIsaak Phillips40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Yakov TreninMatt SavoieJosh DoanSean WalkerEmil Andrae
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Yakov TreninMatt SavoieJosh DoanSean WalkerEmil Andrae
Extra Forwards
Normal PowerPlayPenalty Kill
Fraser Minten, Rasmus Kupari, Christian FischerFraser Minten, Rasmus KupariChristian Fischer
Extra Defensemen
Normal PowerPlayPenalty Kill
Daemon Hunt, David Jiricek, Jacob Bernard-DockerDaemon HuntDavid Jiricek, Jacob Bernard-Docker
Penalty Shots
Matt Savoie, Josh Doan, Yakov Trenin, Conor Geekie, Kasperi Kapanen
Goalie
#1 : Jonas Johansson, #2 : Aleksei Kolosov


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
1Aces2020000047-31010000013-21010000034-100.0004812006051573514654495292935114323133.33%000%0792153551.60%812156651.85%47188453.28%12528831175349667339
2Admirals4310000011101110000005143210000069-360.75011203100605157388465449529298528167210220.00%7442.86%0792153551.60%812156651.85%47188453.28%12528831175349667339
3Americiens20200000813-520200000813-50000000000000.00081422006051573694654495292979194412150.00%3166.67%0792153551.60%812156651.85%47188453.28%12528831175349667339
4Barons220000001055110000005231100000053241.00010172700605157341465449529294613842100.00%40100.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
5Barracuda21100000990110000007611010000023-120.50091726006051573654654495292959221947500.00%7442.86%0792153551.60%812156651.85%47188453.28%12528831175349667339
6Bruins21000010963110000004221000001054141.000912210060515735546544952929592012477228.57%5260.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
7Canucks20200000310-71010000024-21010000016-500.000358006051573574654495292968151135300.00%330.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
8Fighting Pandas623000011624-8522000011518-31010000016-550.417162945006051573155465449529291424889512325.00%4250.00%1792153551.60%812156651.85%47188453.28%12528831175349667339
9Firebirds513001001824-6312000001115-42010010079-230.3001834520060515731414654495292921154261001317.69%13376.92%0792153551.60%812156651.85%47188453.28%12528831175349667339
10Griffins1010000037-4000000000001010000037-400.000358006051573234654495292940106254250.00%3166.67%0792153551.60%812156651.85%47188453.28%12528831175349667339
11Ice Bats11000000532110000005320000000000021.000591400605157335465449529294416218000%10100.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
12Lions20100001711-41010000047-31000000134-110.2507121900605157377465449529299518103322100.00%5340.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
13Marlies41200100914-51010000026-43110010078-130.375917260060515739446544952929106402668500.00%10460.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
14Nordiks320000101813500000000000320000101813561.0001832500060515731384654495292913634257212325.00%10280.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
15Quacken2110000068-21010000026-41100000042220.500691500605157343465449529295620429100.00%20100.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
16Roadrunners611013001822-431101000910-130000300912-370.58318294700605157314746544952929192642510814321.43%8275.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
17Tomahawks11000000431110000004310000000000021.0004812006051573444654495292935132233266.67%10100.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
18Wombats31200000911-2211000007701010000024-220.33391524206051573894654495292999161057400.00%5260.00%0792153551.60%812156651.85%47188453.28%12528831175349667339
19Wranglers11000000431110000004310000000000021.00046100060515734846544952929419028200.00%000%0792153551.60%812156651.85%47188453.28%12528831175349667339
Total51192201522171203-322712130100195109-142479005217694-18510.50017129846920605157314604654495292916284702189721032221.36%913363.74%1792153551.60%812156651.85%47188453.28%12528831175349667339
_Since Last GM Reset51192201522171203-322712130100195109-142479005217694-18510.50017129846920605157314604654495292916284702189721032221.36%913363.74%1792153551.60%812156651.85%47188453.28%12528831175349667339
_Vs Conference3210140151198124-261879010016172-111435005103752-15300.4699817026820605157383846544952929973289127588671217.91%552063.64%1792153551.60%812156651.85%47188453.28%12528831175349667339
_Vs Division1367014004152-116440100023230723004001829-11180.6924174115206051573341465449529294351085825431516.13%281064.29%0792153551.60%812156651.85%47188453.28%12528831175349667339

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5151SOL11712984691460162847021897220
All Games
GPWLOTWOTL SOWSOLGFGA
5119221522171203
Home Games
GPWLOTWOTL SOWSOLGFGA
271213100195109
Visitor Games
GPWLOTWOTL SOWSOLGFGA
247905217694
Last 10 Games
WLOTWOTL SOWSOL
331021
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1032221.36%913363.74%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
465449529296051573
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
792153551.60%812156651.85%47188453.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12528831175349667339


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
118594Marlies-Broncos-
120607Broncos-Ice Bats-
122617Broncos-Americiens-
123622Nordiks-Broncos-
125639Americiens-Broncos-
127649Broncos-Barons-
128653Broncos-Firebirds-
131663Broncos-Americiens-
132668Canucks-Broncos-
134683Broncos-Wombats-
135689Firebirds-Broncos-
138704Broncos-Wombats-
140712Griffins-Broncos-
142722Broncos-Bruins-
144731Broncos-Lynx-
145736Admirals-Broncos-
147750Broncos-Lynx-
148754Broncos-Butter Knives-
149763Bruins-Broncos-
153781Wombats-Broncos-
Trade Deadline --- Trades can’t be done after this day is simulated!
157799Admirals-Broncos-
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
14 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,365,916$ 2,370,000$ 2,370,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,370,000$ 1,049,299$ 27 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 66 15,944$ 1,052,304$




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