Please rotate your device to landscape mode for a better experience.
Login

Redhawks
GP: 59 | W: 29 | L: 25 | OTL: 5 | P: 63
GF: 232 | GA: 227 | PP%: 25.48% | PK%: 70.63%
GM : Andre | Morale : 91 | Team Overall : N/A
Next Games #971 vs Gorillas

Game Center
Redhawks
29-25-5, 63pts
4
FINAL
6 Mountaineers
35-23-5, 75pts
Team Stats
L4StreakW3
15-12-3Home Record19-9-2
14-13-2Home Record16-14-3
4-5-1Last 10 Games5-5-0
3.93Goals Per Game3.35
3.85Goals Against Per Game3.27
25.48%Power Play Percentage30.53%
70.63%Penalty Kill Percentage72.43%
Redhawks
29-25-5, 63pts
5
FINAL
7 Octopus
30-24-2, 62pts
Team Stats
L4StreakW1
15-12-3Home Record20-10-1
14-13-2Home Record10-14-1
4-5-1Last 10 Games6-4-0
3.93Goals Per Game4.18
3.85Goals Against Per Game3.89
25.48%Power Play Percentage31.52%
70.63%Penalty Kill Percentage70.90%
Gorillas
26-30-7, 59pts
Day 136
Redhawks
29-25-5, 63pts
Team Stats
L1StreakL4
14-13-3Home Record15-12-3
12-17-4Away Record14-13-2
8-2-0Last 10 Games4-5-1
3.19Goals Per Game3.93
3.76Goals Against Per Game3.93
25.46%Power Play Percentage25.48%
71.27%Penalty Kill Percentage70.63%
Redhawks
29-25-5, 63pts
Day 139
Mountaineers
35-23-5, 75pts
Team Stats
L4StreakW3
15-12-3Home Record19-9-2
14-13-2Away Record16-14-3
4-5-1Last 10 Games5-5-0
3.93Goals Per Game3.35
3.85Goals Against Per Game3.35
25.48%Power Play Percentage30.53%
70.63%Penalty Kill Percentage72.43%
Mountaineers
35-23-5, 75pts
Day 140
Redhawks
29-25-5, 63pts
Team Stats
W3StreakL4
19-9-2Home Record15-12-3
16-14-3Away Record14-13-2
5-5-0Last 10 Games4-5-1
3.35Goals Per Game3.93
3.27Goals Against Per Game3.93
30.53%Power Play Percentage25.48%
72.43%Penalty Kill Percentage70.63%
Team Leaders
Goals
Rasmus Asplund
30
Assists
Rasmus Asplund
42
Points
Rasmus Asplund
72
Plus/Minus
Matej Blumel
18
Wins
Benjamin Gaudreau
14
Save Percentage
Joe Vrbetic
0.916

Team Stats
Goals For
232
3.93 GFG
Shots For
2039
34.56 Avg
Power Play Percentage
25.5%
67 GF
Offensive Zone Start
37.8%
Goals Against
227
3.85 GAA
Shots Against
1877
31.81 Avg
Penalty Kill Percentage
70.6%%
74 GA
Defensive Zone Start
35.6%
Team Info

General ManagerAndre
CoachKirk Muller
DivisionPacific Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance7,361
Season Tickets800


Roster Info

Pro Team31
Farm Team21
Contract Limit52 / 65
Prospects13


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 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
1Liam FoudyX100.00605092707175936361646367655159078002411,653,750$
2Chris TierneyX100.0063529175737670717268676965616706300301650,000$
3Tanner LaczynskiX100.00605090717775856771676666655460077002711,521,750$
4Rasmus AsplundX100.0060509270727592657466656865556007900271650,000$
5Walker DuehrXX100.0075509566797588696165677165546008800272680,000$
6Daniel SprongXX100.00705095757479847161686667655864077002711,175,000$
7Alex BeaucageXX100.00606060606070706060606060605359073002311,023,750$
8Matej BlumelXX100.0060509273777593676167686765475707600241787,500$
9Brad LambertX100.00625091706778916464666268654055064002111,500,000$
10Matthew SavoieXXX100.00605091716779926575666467654055075002011,500,000$
11Dominic JamesXXX100.0060606060607070606060606060405508001221650,000$
12Parker BellXX100.0060606060607070606060606060405507801212650,000$
13Isaak PhillipsX99.00625084647878926225636271654957078002311,400,000$
14Zach MetsaX100.0060606060607070606060606060526207100261744,188$
15Ryan ORourkeX100.00606060606070706060606060605159071002211,312,500$
16David JiricekX100.00625090687879836625676569654055073002111,500,000$
17Brent JohnsonX100.0060606060607070606060606060405508101212825,000$
18Jackson DorringtonX100.0060606060607070606060606060405507101202750,000$
Scratches
1Jakub BrabenecXXX100.0060606060607070606060606060485505700211825,000$
2Jared DavidsonX100.0060606060607070606060606060405504701221750,000$
3William TrudeauX100.0060606060607070606060606060405504100222787,500$
4Finn Harding (R)X100.0060606060607070606060606060465503500193650,000$
5Isaac BelliveauX100.0060606060607070606060606060405503000221700,000$
6Haakon HaneltXXXX100.0060606060607070606060606060405505800211825,000$
7Ty NelsonX100.00606060606070706060606060604855046002011,250,000$
TEAM AVERAGE99.966156746566737863606362646247570670
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
1Joe Vrbetic100.0060707060606060606060601108300221700,000$
2Domenic Divincentiis100.006070706060606060606060485506800201750,000$
Scratches
1Benjamin Gaudreau100.0060707060606060606060605055051002111,250,000$
2Nikita Quapp100.0060707060606060606060601107000211750,000$
3Nick Malik100.0060707060606060606060601106900221650,000$
4Kim Saarinen (R)100.0060707060606060606060601106000183975,000$
TEAM AVERAGE100.00607070606060606060606017190670
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk Muller6878767973751CAN591600,000$


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
1Rasmus AsplundRedhawks (ANA)C593042728201075113160499418.75%40114119.349202925194022121775252.99%10873316001.2637011543
2Daniel SprongRedhawks (ANA)LW/RW5223325514533569571285910417.97%1884716.3042610720000347151.85%1084216011.3001205524
3Walker DuehrDucksLW/RW55203050-1057457352203601239.85%3398017.838162426173000263449.33%753117001.0203504522
4Matej BlumelRedhawks (ANA)LW/RW571633491815155455143509711.19%1675513.253121516131000001058.33%243717001.3000021023
5Matthew SavoieRedhawks (ANA)C/LW/RW46202545-1422205875172479711.63%2485618.61101424361521014991054.22%533369001.0537202203
6Chris TierneyRedhawks (ANA)C50182240-8584059711775712010.17%1886217.2688162510300061351154.28%7833920000.9317134212
7Jesse PuljujarviDucksLW/RW40132033-11756649107277012.15%1561115.29561115760001240150.00%46326011.0800001050
8Brad LambertRedhawks (ANA)C53122032251455950116325710.34%2179214.952467581012620146.37%1791712000.8102216111
9Dominic JamesRedhawks (ANA)C/LW/RW41161329166535703559133427.12%852312.7674119800002102049.42%34675001.1100421231
10Liam FoudyRedhawks (ANA)C58131225122210435682135115.85%1668211.76000040000133053.33%601010000.7300011200
11David JiricekRedhawks (ANA)D57617238473561738734336.90%66127722.42134121730002169010%02727000.3600007102
12Isaak PhillipsRedhawks (ANA)D596162264725110878335297.23%80139123.58538162000004198010%02338000.3200014011
13Tanner LaczynskiRedhawks (ANA)C46981721515403387303410.34%134319.39000030004502056.76%111156000.7900201110
14Jakub BrabenecRedhawks (ANA)C/LW/RW2961016-10571560425073212.00%1548416.691342520003530143.33%18036000.6611102021
15Parker BellRedhawks (ANA)LW/RW484121676230502634182811.76%949610.34112223000000041.38%2955000.6400024020
16Zach MetsaRedhawks (ANA)D5201515-91535574505617220%54101819.5903311162000069000%01827000.2900236000
17Jackson DorringtonRedhawks (ANA)D512131511536584656123213.28%48107221.0313481630000126000%01526000.2800067000
18Ryan ORourkeRedhawks (ANA)D46010107823061625118220%4788719.290225460002116000%01426000.2300015000
19Alex BeaucageRedhawks (ANA)LW/RW483471391564333816207.89%84599.57000022000000050.00%1625000.3000102001
20Brent JohnsonRedhawks (ANA)D42167995354741339113.03%3867316.0300004000012000%0515000.2100304000
21Haakon HaneltRedhawks (ANA)C/LW/RW/D18246234203014237118.70%1328115.66000040000480053.06%4986000.4300013001
22Finn HardingRedhawks (ANA)D13055-139514158360%1224218.68022126000019000%003000.4100010000
23Isaac BelliveauRedhawks (ANA)D3022-495257220%45317.8401111000003000%013000.7500010000
24Ty NelsonRedhawks (ANA)D110221011512122000%716615.180000100004000%023000.2400100000
25Jared DavidsonRedhawks (ANA)C1110110001112100.00%0171.62000010000000100.00%200001.1200000000
26William TrudeauRedhawks (ANA)D110001321020104010%1419517.80000012000010000%00400000101000
Team Total or Average1056221373594681255625135511821972627112111.21%6371720416.29651071722271958224441448251352.23%3628422328020.69828272672262625
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
1Benjamin GaudreauRedhawks (ANA)32141040.8873.821820201161023582000.61921322300
2Kim SaarinenRedhawks (ANA)1610500.8883.468150047420240101.0003162012
3Domenic DivincentiisRedhawks (ANA)143810.8453.936720044283160200.71471014100
4Joe VrbeticRedhawks (ANA)82100.9162.782160010119712000041000
5Nick MalikRedhawks (ANA)10100.8445.00600053222000010000
Team Total or Average71292550.8823.723584202221877107550315959412


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 RemainingSalary 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
Alex BeaucageRedhawks (ANA)LW/RW232001-07-25CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$288,610$102,375$28,861$No---------------------------
Benjamin GaudreauRedhawks (ANA)G212003-01-11CANNo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No---------------------------
Brad LambertRedhawks (ANA)C212003-12-19FINNo173 Lbs6 ft1NoNoTrade2026-01-13NoNo1FalseFalsePro & Farm1,500,000$422,872$150,000$42,287$No---------------------------
Brent JohnsonRedhawks (ANA)D212003-03-20USANo174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$--------825,000$--------No--------
Chris TierneyRedhawks (ANA)C301994-07-01CANNo191 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Daniel SprongRedhawks (ANA)LW/RW271997-03-17CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-05-21FalseFalsePro & Farm1,175,000$331,250$117,500$33,125$No---------------------------
David JiricekRedhawks (ANA)D212003-11-28CZENo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$422,872$65,000$18,324$No---------------------------
Domenic DivincentiisRedhawks (ANA)G202004-03-04CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$211,436$75,000$21,144$No---------------------------
Dominic JamesRedhawks (ANA)C/LW/RW222002-07-03USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Finn HardingRedhawks (ANA)D192005-05-02CANYes192 Lbs6 ft0NoNoDraftNoNo32025-08-20FalseFalsePro & Farm650,000$183,245$65,000$18,324$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Haakon HaneltRedhawks (ANA)C/LW/RW/D212003-06-01GERNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$232,580$82,500$23,258$No---------------------------
Isaac BelliveauRedhawks (ANA)D222002-11-26CANNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$197,340$70,000$19,734$No---------------------------
Isaak PhillipsRedhawks (ANA)D232001-09-28CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$394,681$140,000$39,468$No---------------------------
Jackson DorringtonRedhawks (ANA)D202004-04-13USANo192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$211,436$75,000$21,144$No750,000$--------750,000$--------No--------
Jakub BrabenecRedhawks (ANA)C/LW/RW212003-09-11CZENo176 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$232,580$82,500$23,258$No---------------------------
Jared DavidsonRedhawks (ANA)C222002-07-07CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$211,436$75,000$21,144$No---------------------------
Joe VrbeticRedhawks (ANA)G222002-10-24CANNo187 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$197,340$70,000$19,734$No---------------------------
Kim SaarinenRedhawks (ANA)G182006-07-22FINYes187 Lbs6 ft2NoNoDraftNoNo32025-08-20FalseFalsePro & Farm975,000$274,867$65,000$18,324$No975,000$975,000$-------650,000$650,000$-------NoNo-------
Liam Foudy (1 Way Contract)Redhawks (ANA)C242000-02-04CANNo186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,653,750$453,448$1,653,750$453,448$No---------------------------
Matej BlumelRedhawks (ANA)LW/RW242000-05-31CZENo205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm787,500$222,008$78,750$22,201$No---------------------------
Matthew SavoieRedhawks (ANA)C/LW/RW202004-01-01CANNo179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$422,872$150,000$42,287$No---------------------------
Nick MalikRedhawks (ANA)G222002-04-26USANo179 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Nikita QuappRedhawks (ANA)G212003-01-25GERNo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$211,436$75,000$21,144$No---------------------------
Parker BellRedhawks (ANA)LW/RW212003-09-26CANNo205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm650,000$183,245$65,000$18,324$No650,000$--------650,000$--------No--------
Rasmus Asplund (1 Way Contract)Redhawks (ANA)C271997-12-03SWENo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$178,226$650,000$178,226$No---------------------------
Ryan ORourkeRedhawks (ANA)D222002-05-16CANNo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$370,013$131,250$37,001$No---------------------------
Tanner LaczynskiRedhawks (ANA)C271997-06-01USANo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,521,750$429,004$152,175$42,900$No---------------------------
Ty NelsonRedhawks (ANA)D202004-03-30CANNo198 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No---------------------------
Walker DuehrDucksLW/RW271997-11-23USANo210 Lbs6 ft2NoNoTrade2025-11-30NoNo22025-11-16FalseFalsePro & Farm680,000$186,452$680,000$186,452$No680,000$--------680,000$--------No--------
William TrudeauRedhawks (ANA)D222002-10-11CANNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$222,008$78,750$22,201$No787,500$--------787,500$--------No--------
Zach MetsaRedhawks (ANA)D261998-10-19USANo181 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm744,188$209,798$74,419$20,980$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3122.48190 Lbs6 ft11.29962,450$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex BeaucageMatthew SavoieChris Tierney34113
2Brad LambertRasmus AsplundDaniel Sprong30113
3Matej BlumelDominic JamesLiam Foudy20122
4Walker DuehrTanner LaczynskiParker Bell16122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Isaak PhillipsBrent Johnson34122
2Jackson DorringtonZach Metsa33122
3David JiricekRyan ORourke33122
4Isaak PhillipsDavid Jiricek0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex BeaucageChris TierneyMatthew Savoie50122
2Matej BlumelRasmus AsplundDaniel Sprong50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Isaak PhillipsZach Metsa50122
2Jackson DorringtonDavid Jiricek50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chris TierneyTanner Laczynski50122
2Rasmus AsplundMatthew Savoie50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Isaak PhillipsRyan ORourke50122
2Jackson DorringtonDavid Jiricek50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matthew Savoie50122Isaak PhillipsDavid Jiricek50122
2Rasmus Asplund50122Zach MetsaJackson Dorrington50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Daniel SprongAlex Beaucage50122
2Rasmus AsplundBrad Lambert50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Isaak PhillipsBrent Johnson50122
2Jackson DorringtonDavid Jiricek50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brad LambertMatthew SavoieAlex BeaucageIsaak PhillipsBrent Johnson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Daniel SprongRasmus AsplundBrad LambertIsaak PhillipsBrent Johnson
Extra Forwards
Normal PowerPlayPenalty Kill
Brad Lambert, Tanner Laczynski, Parker BellParker Bell, Brad LambertBrad Lambert
Extra Defensemen
Normal PowerPlayPenalty Kill
Jackson Dorrington, Isaak Phillips, Zach MetsaJackson DorringtonJackson Dorrington, Isaak Phillips
Penalty Shots
Brad Lambert, Daniel Sprong, Rasmus Asplund, Matthew Savoie, Alex Beaucage
Goalie
#1 : Domenic Divincentiis, #2 : Joe Vrbetic, #3 : 0


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
1Admirals220000001174110000007431100000043141.000111728005479931273644680704426317654414642.86%10190.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
2Bears10000010651100000106510000000000021.00069150054799312366446807044235729264125.00%7357.14%0720134453.57%675126453.40%47194749.74%124964911515941184583
3Bills2200000014104110000008621100000064241.00014223600547993128164468070442602552579333.33%11372.73%0720134453.57%675126453.40%47194749.74%124964911515941184583
4Blood Miners210000017701000000123-11100000054130.7507916005479931269644680704426428384910220.00%40100.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
5Bulldogs312000001113-221100000101001010000013-220.333111829005479931297644680704427725897414750.00%17852.94%0720134453.57%675126453.40%47194749.74%124964911515941184583
6Crunch30300000510-52020000015-41010000045-100.0005101500547993127664468070442641941471218.33%18666.67%0720134453.57%675126453.40%47194749.74%124964911515941184583
7Eagles504000101327-1430200010915-620200000412-820.200132033005479931216764468070442225675211014321.43%21385.71%0720134453.57%675126453.40%47194749.74%124964911515941184583
8Gorillas11000000615000000000001100000061521.00067130054799312276446807044237182028200.00%50100.00%1720134453.57%675126453.40%47194749.74%124964911515941184583
9Griffins311000101394110000007252010001067-140.6671321340054799312101644680704428324577513323.08%16662.50%0720134453.57%675126453.40%47194749.74%124964911515941184583
10Grisards1010000013-21010000013-20000000000000.00011200547993123664468070442208920300.00%2150.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
11Gulls211000001210200000000000211000001210220.500122133005479931282644680704427628705411327.27%5260.00%1720134453.57%675126453.40%47194749.74%124964911515941184583
12Moose201010008801010000034-11000100054120.5008142200547993127964468070442511637475240.00%11554.55%0720134453.57%675126453.40%47194749.74%124964911515941184583
13Mountaineers3120000013130211000009721010000046-220.3331322350054799312112644680704428519885916425.00%8450.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
14Norsemen1010000014-3000000000001010000014-300.0001120054799312386446807044231182117800.00%3166.67%0720134453.57%675126453.40%47194749.74%124964911515941184583
15Octopus513000011923-411000000642403000011319-630.3001935540054799312178644680704421896716210428517.86%21861.90%0720134453.57%675126453.40%47194749.74%124964911515941184583
16Penguins1010000015-41010000015-40000000000000.0001230054799312286446807044232125024100.00%5180.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
17Phantoms11000000734000000000001100000073421.0007111800547993123964468070442381234324250.00%7185.71%0720134453.57%675126453.40%47194749.74%124964911515941184583
18Rams11000000431000000000001100000043121.00048120054799312336446807044222925267114.29%5180.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
19Reign31001001151051000100032121000001128450.8331527420054799312110644680704427534218110550.00%8362.50%0720134453.57%675126453.40%47194749.74%124964911515941184583
20Roadrunners11000000642110000006420000000000021.000611170054799312376446807044222115285240.00%000%0720134453.57%675126453.40%47194749.74%124964911515941184583
21Rocket4210000115132210000018712110000076150.62515233800547993121406446807044211044619623417.39%13561.54%0720134453.57%675126453.40%47194749.74%124964911515941184583
22Saints220000001257110000005141100000074341.000121830005479931268644680704427435544012325.00%7185.71%0720134453.57%675126453.40%47194749.74%124964911515941184583
23Silver Knights321000001111032100000111100000000000040.6671118290054799312956446807044210025356310330.00%15380.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
24Titans11000000413110000004130000000000021.0004590054799312376446807044227813345120.00%40100.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
25Whalers11000000431000000000001100000043121.00046100054799312306446807044235101927100.00%2150.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
26White Wolves30101001911-220100001710-31000100021130.5009132200547993121026446807044212340606215320.00%15473.33%0720134453.57%675126453.40%47194749.74%124964911515941184583
27Wolf Pack1010000014-31010000014-30000000000000.00012300547993124164468070442331110322150.00%5260.00%0720134453.57%675126453.40%47194749.74%124964911515941184583
28Wolves1010000034-1000000000001010000034-100.0003580054799312276446807044226639205240.00%7185.71%0720134453.57%675126453.40%47194749.74%124964911515941184583
Total592325030352322275301212010231151132291113020121171143630.53423237660800547993122039644680704421877643125613762636725.48%2527470.63%2720134453.57%675126453.40%47194749.74%124964911515941184583
_Since Last GM Reset592325030352322275301212010231151132291113020121171143630.53423237660800547993122039644680704421877643125613762636725.48%2527470.63%2720134453.57%675126453.40%47194749.74%124964911515941184583
_Vs Conference43161802025169167223108010139287520610010127780-3450.523169274443005479931214606446807044213884818359731934824.87%1795469.83%1720134453.57%675126453.40%47194749.74%124964911515941184583
_Vs Division1691101013736211664010112518710370000248444250.78173125198005479931256364468070442549199361369721926.39%581868.97%1720134453.57%675126453.40%47194749.74%124964911515941184583

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5963L4232376608203918776431256137600
All Games
GPWLOTWOTL SOWSOLGFGA
5923253035232227
Home Games
GPWLOTWOTL SOWSOLGFGA
3012121023115113
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2911132012117114
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2636725.48%2527470.63%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6446807044254799312
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
720134453.57%675126453.40%47194749.74%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
124964911515941184583


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
212Eagles2Redhawks3WXXBoxScore
322Redhawks3Octopus4LBoxScore
538Redhawks3Octopus5LBoxScore
858Mountaineers5Redhawks3LBoxScore
1183White Wolves4Redhawks3LXXBoxScore
1396Reign2Redhawks3WXBoxScore
17127Silver Knights3Redhawks5WBoxScore
19139Redhawks6Reign7LXXBoxScore
22162Octopus4Redhawks6WBoxScore
23169Redhawks7Saints4WBoxScore
27193Redhawks4Rocket2WBoxScore
28200Saints1Redhawks5WBoxScore
32227Silver Knights1Redhawks2WBoxScore
34236Redhawks4Griffins6LBoxScore
36257Blood Miners3Redhawks2LXXBoxScore
38269Redhawks2Griffins1WXXBoxScore
40283Redhawks3Wolves4LBoxScore
42293Moose4Redhawks3LBoxScore
47326Titans1Redhawks4WBoxScore
49345Redhawks1Bulldogs3LBoxScore
51355Bills6Redhawks8WBoxScore
53373Redhawks2White Wolves1WXBoxScore
55385Redhawks4Admirals3WBoxScore
56394Griffins2Redhawks7WBoxScore
59418Eagles7Redhawks3LBoxScore
61437Redhawks6Gorillas1WBoxScore
63451Eagles6Redhawks3LBoxScore
65459Redhawks3Rocket4LBoxScore
67476Redhawks5Moose4WXBoxScore
69486Redhawks4Rams3WBoxScore
70496Penguins5Redhawks1LBoxScore
74520Bears5Redhawks6WXXBoxScore
76532Redhawks6Reign1WBoxScore
78551Rocket2Redhawks4WBoxScore
80564Redhawks3Eagles7LBoxScore
84587Wolf Pack4Redhawks1LBoxScore
86607Redhawks4Crunch5LBoxScore
88617Redhawks6Bills4WBoxScore
89626Crunch3Redhawks1LBoxScore
92649Grisards3Redhawks1LBoxScore
95673Redhawks2Octopus3LXXBoxScore
96683Bulldogs5Redhawks8WBoxScore
100709Redhawks4Whalers3WBoxScore
101715Silver Knights7Redhawks4LBoxScore
104737Redhawks4Gulls7LBoxScore
106747White Wolves6Redhawks4LBoxScore
109772Roadrunners4Redhawks6WBoxScore
110784Redhawks5Blood Miners4WBoxScore
114805Redhawks1Eagles5LBoxScore
115812Bulldogs5Redhawks2LBoxScore
117833Redhawks8Gulls3WBoxScore
119843Rocket5Redhawks4LXXBoxScore
122867Admirals4Redhawks7WBoxScore
124879Redhawks7Phantoms3WBoxScore
126900Mountaineers2Redhawks6WBoxScore
127909Redhawks1Norsemen4LBoxScore
130933Crunch2Redhawks0LBoxScore
133954Redhawks4Mountaineers6LBoxScore
135961Redhawks5Octopus7LBoxScore
136971Gorillas-Redhawks-
139991Redhawks-Mountaineers-
1401002Mountaineers-Redhawks-
1421020Redhawks-Saints-
1441033Reign-Redhawks-
1461045Redhawks-Saints-
1471057Redhawks-Bills-
1491070White Wolves-Redhawks-
1531095Redhawks-Roadrunners-
1541104Gorillas-Redhawks-
1571128Redhawks-Blossom Bytes-
1581137Saints-Redhawks-
1621161Admirals-Redhawks-
1641178Redhawks-Rocket-
1671193Blood Miners-Redhawks-
Trade Deadline --- Trades can’t be done after this day is simulated!
1681201Redhawks-Silver Knights-
1711221Reign-Redhawks-
1731234Redhawks-Roadrunners-
1751247Redhawks-Americans-
1771259Redhawks-Silver Knights-
1791270Octopus-Redhawks-
1821284Redhawks-Senators-
1871312Octopus-Redhawks-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3414
Attendance68,215152,624
Attendance PCT90.95%92.50%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 7361 - 92.02% 178,242$5,347,255$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,318,328$ 2,685,219$ 2,567,719$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
16,850$ 2,237,599$ 28 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,960,660$ 53 17,475$ 926,175$




Redhawks 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

Redhawks Goalies Stat Leaders (Regular Season)

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

Redhawks 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

Redhawks 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

Redhawks Goalies Stat Leaders (Play-Off)

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