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

Reading Royals
GP: 12 | W: 6 | L: 4 | OTL: 2 | P: 20
GF: 39 | GA: 37 | PP%: 22.73% | PK%: 83.82%
GM : Nick | Morale : 40 | Team Overall : 70
Next Games #171 vs Pee Dee Pride

Game Center
Macon Whoopee
7-5-0, 18pts
1
3 Reading Royals
6-4-2, 20pts
Team Stats
W1StreakL1
6-2-0Home Record3-2-2
1-3-0Home Record3-2-0
6-4-0Last 10 Games5-3-2
3.08Goals Per Game3.25
2.58Goals Against Per Game3.08
22.92%Power Play Percentage22.73%
76.47%Penalty Kill Percentage83.82%
Reading Royals
6-4-2, 20pts
3
7 Grand Rapids Griffins
8-3-1, 24pts
Team Stats
L1StreakW7
3-2-2Home Record4-3-0
3-2-0Home Record4-0-1
5-3-2Last 10 Games7-2-1
3.25Goals Per Game3.67
3.08Goals Against Per Game2.50
22.73%Power Play Percentage21.28%
83.82%Penalty Kill Percentage88.89%
Reading Royals
6-4-2, 20pts
Day 28
Pee Dee Pride
8-2-2, 25pts
Team Stats
L1StreakW2
3-2-2Home Record2-2-2
3-2-0Away Record6-0-0
5-3-2Last 10 Games6-2-2
3.25Goals Per Game3.33
3.08Goals Against Per Game3.33
22.73%Power Play Percentage20.41%
83.82%Penalty Kill Percentage90.63%
Colorado Eagles
7-3-1, 21pts
Day 32
Reading Royals
6-4-2, 20pts
Team Stats
W1StreakL1
3-2-0Home Record3-2-2
4-1-1Away Record3-2-0
6-3-1Last 10 Games5-3-2
3.36Goals Per Game3.25
3.27Goals Against Per Game3.25
13.64%Power Play Percentage22.73%
72.00%Penalty Kill Percentage83.82%
Bakersfield Condors
8-0-3, 25pts
Day 34
Reading Royals
6-4-2, 20pts
Team Stats
SOL1StreakL1
4-0-1Home Record3-2-2
4-0-2Away Record3-2-0
7-0-3Last 10 Games5-3-2
4.18Goals Per Game3.25
2.73Goals Against Per Game3.25
37.14%Power Play Percentage22.73%
78.95%Penalty Kill Percentage83.82%
Team Leaders
Goals
Joakim Nordstrom
11
Assists
Dylan Guenther
9
Points
Dylan Guenther
16
Plus/Minus
Joakim Nordstrom
10
Wins
Joni Ortio
4
Save Percentage
Joni Ortio
0.902

Team Stats
Goals For
39
3.25 GFG
Shots For
337
28.08 Avg
Power Play Percentage
22.7%
10 GF
Offensive Zone Start
35.7%
Goals Against
37
3.08 GAA
Shots Against
342
28.50 Avg
Penalty Kill Percentage
83.8%%
11 GA
Defensive Zone Start
41.5%
Team Info

General ManagerNick
DivisionPacific Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,554
Season Tickets1,380


Roster Info

Pro Team26
Farm Team19
Contract Limit45 / 250
Prospects44


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
1Dylan Guenther (R)0X99.0059398798688587875885907489657455407902221,750,000$
2Victor Rask0X100.0057437672758888708873697069807155407003211,071,427$
3Nikolay Goldobin0X100.005737848360797769627569687278615540690294625,000$
4Jean-Sebastien Dea0X100.005830828455767565826966677080695540680312625,000$
5Keegan Kolesar0X100.009764646289787862676663726177745540680281685,000$
6Mason Morelli0X100.008147856782717962626366706478855540680292555,556$
7Zach Boychuk0X100.008342817856747770677268617183645540680351550,000$
8Michael Eyssimont0X100.007745687665767660606365676677775540660282500,000$
9Sergey Kalinin0X100.008247756676787862786465626581715540660341565,000$
10Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
11Arber Xhekaj (R)0X99.009568516498778570507566786370785540740242600,000$
12Jake Dotchin0X100.0093526369898687755079677164807555407403121,784,000$
13Joel Edmundson0X100.0089566868967880665669627558807655407303231,010,000$
14Dylan McIlrath0X100.0092625361997878695070617559817755407203321,010,000$
15Jake Bischoff0X100.006747697885787869506564766579725540720303750,000$
16Andreas Englund0X100.008742778081727265506862676377725540700291500,000$
17Joel Hanley0X100.0053449176708281695072657363828155407003411,784,000$
Scratches
1Joakim Nordstrom0X95.0069468377758282707772717073817255407103322,197,999$
2Austin Watson0X90.0979527869778174696672676767817355406903322,196,000$
3Mike Hoffman0X75.9458417877657878677069716769837355406903511,250,000$
4Sam Lafferty0X95.658955687178787463716665686479705540680303560,000$
5Tomas Tatar0X91.4270357879537880676468696470826555406803411,569,999$
TEAM AVERAGE97.55764774747578796863706770677972554070
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
1Ivan Fedotov0100.008570739076767777777676776255407502812,456,789$
2Magnus Hellberg0100.00725662907275767474757481665840720342775,000$
Scratches
1Joni Ortio099.008167708077798078787978836855407503411,050,000$
2Georgi Romanov0100.007765708871707173737071735655407002511,010,000$
TEAM AVERAGE99.7579656987747576767675757963564073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Dylan GuentherReading Royals (LAK)LW11791631515141651173613.73%925423.160446340000351039.73%73206001.2600120310
2Joakim NordstromReading Royals (LAK)C1211415104315172747183123.40%828323.633148310004450150.82%30548001.0600012111
3Victor RaskReading Royals (LAK)C125712-111523303742713.51%322819.041238320001260050.41%12336001.0500001020
4Nikolay GoldobinReading Royals (LAK)LW12549-355152832172815.63%021517.973147270002390025.00%1243010.8300010101
5Keegan KolesarReading Royals (LAK)RW1207784830211814730%219916.61022226000030064.71%1714000.7000222000
6Arber XhekajReading Royals (LAK)D12145-281453518231184.35%1930425.40011337000046000%047100.3300116000
7Cole BardreauReading Royals (LAK)LW505507510109790%27915.86000010000220051.43%3520001.2600100000
8Jake DotchinReading Royals (LAK)D12055-371452316191180%1428523.83033439000050000%0515000.3500234000
9Joel EdmundsonReading Royals (LAK)D1214542010111595811.11%522318.60101125000032000%019000.4500011001
10Michael EyssimontReading Royals (LAK)RW1014556061230233.33%311311.350000500000100%222000.8800000020
11Zach BoychukReading Royals (LAK)RW12235-10011123510225.71%416914.09123521000001025.00%461000.5900000000
12Jean-Sebastien DeaReading Royals (LAK)C12224-200716168412.50%415212.73000050001111060.24%8334000.5200000100
13Mason MorelliReading Royals (LAK)C12123-2201519102710.00%213010.88000000000160046.55%5803000.4600000000
14Andreas EnglundReading Royals (LAK)D12112060121130133.33%716914.1310115000034000%0011000.2400000000
15Dylan McIlrathReading Royals (LAK)D120223471523184230%1221618.04000124000033000%028000.1800012000
16Jake BischoffReading Royals (LAK)D120112406107420%514812.350000300001000%0211000.1300000000
17Joel HanleyReading Royals (LAK)D10011100031000%5696.9600000000012000%000000.2900000000
18Mike HoffmanReading Royals (LAK)LW31011005450420.00%03210.9100002000041050.00%210000.6100000000
19Sam LaffertyReading Royals (LAK)RW2011-220621010%12713.760110800000000%000000.7300000000
20Sergey KalininReading Royals (LAK)C9101-22010870314.29%111312.5600002000001066.67%602000.1800000000
21Austin WatsonReading Royals (LAK)RW1000000121000%099.120000200000000%00000000000000
22Hardy Haman AktellLos Angeles KingsD6000100030000%1376.270000000002000%00000000000000
23Tomas TatarReading Royals (LAK)LW3000-120123100%0237.940000000000000%01100000000000
Team Total or Average21639661051937219027230033712420711.57%107348816.151017274633800084196150.14%72061101110.600071218663
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
1Joni OrtioReading Royals (LAK)74210.9022.93409202020493000073001
2Ivan FedotovReading Royals (LAK)62210.8853.00280001412256000057000
3Magnus HellbergReading Royals (LAK)10000.8136.0030003169000002000
Team Total or Average146420.8923.0872020373421580001212001


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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
Andreas EnglundReading Royals (LAK)D291996-01-21SWENo201 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Link
Arber XhekajReading Royals (LAK)D242001-01-30CANYes238 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$517,021$0$0$No600,000$--------600,000$--------No--------Link
Austin WatsonReading Royals (LAK)RW331992-01-13USANo205 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,196,000$1,892,298$0$0$No2,196,000$--------2,196,000$--------No--------Link
Cole BardreauReading Royals (LAK)LW311993-07-22USANo185 Lbs5 ft10NoNoTrade2026-02-09NoNo22025-09-30FalseFalsePro & Farm665,000$573,032$0$0$No665,000$--------665,000$--------No--------Link
Dylan GuentherReading Royals (LAK)LW222003-04-10CANYes174 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,750,000$1,507,979$0$0$No1,750,000$--------1,750,000$--------No--------Link
Dylan McIlrathReading Royals (LAK)D331992-04-20CANNo232 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,010,000$870,319$0$0$No1,010,000$--------1,010,000$--------No--------
Georgi RomanovReading Royals (LAK)G251999-12-15RUSNo207 Lbs6 ft5NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm1,010,000$870,319$0$0$No---------------------------Link
Ivan FedotovReading Royals (LAK)G281996-11-28RUSNo188 Lbs6 ft6NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm2,456,789$2,117,020$0$0$No---------------------------Link
Jake BischoffReading Royals (LAK)D301994-07-25USANo194 Lbs6 ft1NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm750,000$646,277$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Jake DotchinReading Royals (LAK)D311994-03-24CANNo212 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,784,000$1,537,277$0$0$No1,784,000$--------1,784,000$--------No--------Link
Jean-Sebastien DeaReading Royals (LAK)C311994-02-08CANNo168 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm625,000$538,564$0$0$No625,000$--------625,000$--------No--------Link
Joakim NordstromReading Royals (LAK)C331992-02-25SWENo194 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,197,999$1,894,020$0$0$No2,197,999$--------2,197,999$--------No--------
Joel EdmundsonReading Royals (LAK)D321993-06-28CANNo225 Lbs6 ft5NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm1,010,000$870,319$0$0$No1,010,000$1,010,000$-------1,010,000$1,010,000$-------NoNo-------Link
Joel HanleyReading Royals (LAK)D341991-06-08CANNo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,784,000$1,537,277$0$0$No---------------------------Link
Joni OrtioReading Royals (LAK)G341991-04-16FINNo190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,050,000$904,787$0$0$No---------------------------Link
Keegan KolesarReading Royals (LAK)RW281997-04-08CANNo214 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm685,000$590,266$0$0$No---------------------------Link
Magnus HellbergReading Royals (LAK)G341991-04-04SWENo220 Lbs6 ft6NoNoFree AgentNoNo22025-10-25FalseFalsePro & Farm775,000$667,819$0$0$No775,000$--------775,000$--------No--------Link
Mason MorelliReading Royals (LAK)C291996-02-01USANo201 Lbs6 ft1NoNoFree AgentNoNo22025-10-25FalseFalsePro & Farm555,556$478,724$0$0$No555,556$--------555,556$--------No--------Link
Michael EyssimontReading Royals (LAK)RW281996-09-09USANo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm500,000$430,851$0$0$No500,000$--------500,000$--------No--------Link
Mike Hoffman (Out of Payroll)Reading Royals (LAK)LW351989-11-24CANNo183 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,250,000$1,077,128$0$0$No---------------------------Link
Nikolay GoldobinReading Royals (LAK)LW291995-10-07RUSNo176 Lbs5 ft11NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm625,000$538,564$0$0$No625,000$625,000$625,000$------625,000$625,000$625,000$------NoNoNo------
Sam LaffertyReading Royals (LAK)RW301995-03-06USANo205 Lbs6 ft2NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm560,000$482,553$0$0$No560,000$560,000$-------560,000$560,000$-------NoNo-------Link
Sergey KalininReading Royals (LAK)C341991-03-17RUSNo200 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm565,000$486,862$0$0$No---------------------------Link
Tomas TatarReading Royals (LAK)LW341990-12-01SVKNo172 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,569,999$1,352,871$0$0$No---------------------------Link
Victor RaskReading Royals (LAK)C321993-03-01SWENo199 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,071,427$923,251$0$0$No---------------------------
Zach BoychukReading Royals (LAK)RW351989-10-04CANNo185 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm550,000$473,936$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2630.69198 Lbs6 ft21.771,080,607$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan GuentherKeegan Kolesar40023
2Sergey KalininVictor RaskZach Boychuk20023
3Nikolay GoldobinJean-Sebastien DeaMichael Eyssimont20032
4Cole BardreauMason MorelliVictor Rask20032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajJake Dotchin40122
2Joel EdmundsonDylan McIlrath30122
3Jake BischoffAndreas Englund20122
4Joel HanleyArber Xhekaj10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan GuentherKeegan Kolesar60122
2Nikolay GoldobinVictor RaskZach Boychuk40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajJake Dotchin60122
2Joel EdmundsonDylan McIlrath40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cole BardreauKeegan Kolesar60122
2Victor RaskNikolay Goldobin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajJake Dotchin60122
2Joel EdmundsonDylan McIlrath40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cole Bardreau60122Arber XhekajJake Dotchin60122
2Keegan Kolesar40122Joel EdmundsonDylan McIlrath40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan GuentherKeegan Kolesar60122
2Victor RaskNikolay Goldobin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajJake Dotchin60122
2Joel EdmundsonDylan McIlrath40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dylan GuentherKeegan KolesarArber XhekajJake Dotchin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Cole BardreauKeegan KolesarArber XhekajJake Dotchin
Extra Forwards
Normal PowerPlayPenalty Kill
Nikolay Goldobin, Jean-Sebastien Dea, Dylan GuentherNikolay Goldobin, Jean-Sebastien DeaNikolay Goldobin
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Bischoff, Andreas Englund, Joel HanleyJake BischoffAndreas Englund, Joel Hanley
Penalty Shots
Dylan Guenther, , Victor Rask, Jean-Sebastien Dea, Nikolay Goldobin
Goalie
#1 : Ivan Fedotov, #2 : Magnus Hellberg
Custom OT Lines Forwards
Dylan Guenther, , Victor Rask, Sergey Kalinin, Nikolay Goldobin, Jean-Sebastien Dea, Keegan Kolesar, Mason Morelli, Michael Eyssimont, Zach Boychuk
Custom OT Lines Defensemen
Arber Xhekaj, Jake Dotchin, Joel Edmundson, Dylan McIlrath, Jake Bischoff


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
1Abbotsford Canucks11000000321000000000001100000032131.0003690081417025101101135030124424000%8187.50%013725653.52%14429848.32%8016448.78%245128245118229111
2Bloomington Bison11000000523000000000001100000052331.000571200814170351011011350271319238337.50%2150.00%013725653.52%14429848.32%8016448.78%245128245118229111
3Coachella Valley Firebirds1000010023-11000010023-10000000000010.333246008141702810110113504451218400.00%60100.00%013725653.52%14429848.32%8016448.78%245128245118229111
4Grand Rapids Griffins1010000037-4000000000001010000037-400.0003580081417031101101135032122922300.00%7185.71%013725653.52%14429848.32%8016448.78%245128245118229111
5Greenville Swamp Rabbits11000000431000000000001100000043131.0004711008141702810110113502832236000%6183.33%013725653.52%14429848.32%8016448.78%245128245118229111
6Henderson Silver Knights1010000013-2000000000001010000013-200.000123008141702510110113503164826500.00%4175.00%013725653.52%14429848.32%8016448.78%245128245118229111
7Macon Whoopee11000000312110000003120000000000031.0003690081417031101101135026141720300.00%60100.00%013725653.52%14429848.32%8016448.78%245128245118229111
8Milwaukee Admirals1010000024-21010000024-20000000000000.00023500814170201011011350211137214125.00%6350.00%013725653.52%14429848.32%8016448.78%245128245118229111
9Orlando Solar Bears11000000725110000007250000000000031.000713200081417037101101135027842155240.00%60100.00%013725653.52%14429848.32%8016448.78%245128245118229111
10Providence Bruins1010000013-21010000013-20000000000000.000123008141703210110113502732721100.00%6183.33%013725653.52%14429848.32%8016448.78%245128245118229111
11Rockford IceHogs11000000532110000005320000000000031.000571200814170281011011350301040277228.57%5180.00%013725653.52%14429848.32%8016448.78%245128245118229111
12San Diego Gulls1000010034-11000010034-10000000000010.33334700814170171011011350191037194250.00%6183.33%013725653.52%14429848.32%8016448.78%245128245118229111
Total126400200393727320020023203532000001617-1200.5563966105008141703371011011350342107374272441022.73%681183.82%013725653.52%14429848.32%8016448.78%245128245118229111
_Since Last GM Reset126400200393727320020023203532000001617-1200.5563966105008141703371011011350342107374272441022.73%681183.82%013725653.52%14429848.32%8016448.78%245128245118229111
_Vs Conference943002002729-25210020015150422000001214-2140.5192744710081417024010110113502609328320038821.05%50982.00%013725653.52%14429848.32%8016448.78%245128245118229111
_Vs Division622002001618-230100200711-43210000097280.4441626420081417015010110113501725719713125624.00%32778.13%013725653.52%14429848.32%8016448.78%245128245118229111

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1220L1396610533734210737427200
All Games
GPWLOTWOTL SOWSOLGFGA
126402003937
Home Games
GPWLOTWOTL SOWSOLGFGA
73202002320
Visitor Games
GPWLOTWOTL SOWSOLGFGA
53200001617
Last 10 Games
WLOTWOTL SOWSOL
530200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
441022.73%681183.82%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1011011350814170
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13725653.52%14429848.32%8016448.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
245128245118229111


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
213Reading Royals1Henderson Silver Knights3LBox score
427Reading Royals5Bloomington Bison2WBox score
639Coachella Valley Firebirds3Reading Royals2LXBox score
855Milwaukee Admirals4Reading Royals2LBox score
1070Rockford IceHogs3Reading Royals5WBox score
1282Reading Royals3Abbotsford Canucks2WBox score
1495San Diego Gulls4Reading Royals3LXBox score
15104Orlando Solar Bears2Reading Royals7WBox score
18126Providence Bruins3Reading Royals1LBox score
20132Reading Royals4Greenville Swamp Rabbits3WBox score
23145Macon Whoopee1Reading Royals3WBox score
25156Reading Royals3Grand Rapids Griffins7LBox score
28171Reading Royals-Pee Dee Pride-
32192Colorado Eagles-Reading Royals-
34202Bakersfield Condors-Reading Royals-
38219Reading Royals-Cleveland Monsters-
41233Cleveland Monsters-Reading Royals-
44246Reading Royals-Bakersfield Condors-
47258Reading Royals-Colorado Eagles-
50274Pee Dee Pride-Reading Royals-
53288Grand Rapids Griffins-Reading Royals-
57307Reading Royals-Macon Whoopee-
59309Reading Royals-Bridgeport Islanders-
62331Reading Royals-Rochester Americans-
63339Laval Rocket-Reading Royals-
66357Greensboro Gargoyles-Reading Royals-
68373Reading Royals-Abbotsford Canucks-
70392Rockford IceHogs-Reading Royals-
72405Reading Royals-Milwaukee Admirals-
74416Reading Royals-Coachella Valley Firebirds-
76426Iowa Heartlanders-Reading Royals-
78437Reading Royals-Utica Devils-
80452Reading Royals-Athens Rock Lobsters-
84471Colorado Eagles-Reading Royals-
87489Bakersfield Condors-Reading Royals-
89500Reading Royals-Cleveland Monsters-
92513Lehigh Valley Phantoms-Reading Royals-
93520Reading Royals-Lehigh Valley Phantoms-
95539Reading Royals-Wheeling Nailers-
98560Wheeling Nailers-Reading Royals-
100568Savannah Ghost Pirates-Reading Royals-
102586Reading Royals-Trois Rivieres Lions-
104597Bloomington Bison-Reading Royals-
107614Henderson Silver Knights-Reading Royals-
111627Reading Royals-San Diego Gulls-
113641Macon Whoopee-Reading Royals-
115645Reading Royals-Grand Rapids Griffins-
119666Reading Royals-Pee Dee Pride-
121674Reading Royals-Laval Rocket-
123691Rochester Americans-Reading Royals-
125701Bridgeport Islanders-Reading Royals-
127715Greenville Swamp Rabbits-Reading Royals-
129734Reading Royals-Providence Bruins-
131747Reading Royals-Orlando Solar Bears-
135768Abbotsford Canucks-Reading Royals-
137784Reading Royals-Rockford IceHogs-
139797Milwaukee Admirals-Reading Royals-
142809Reading Royals-Coachella Valley Firebirds-
144825Reading Royals-Greensboro Gargoyles-
146833Reading Royals-Iowa Heartlanders-
149850Utica Devils-Reading Royals-
151861Athens Rock Lobsters-Reading Royals-
154879Reading Royals-Savannah Ghost Pirates-
156894Trois Rivieres Lions-Reading Royals-
158898Reading Royals-Colorado Eagles-
160916Reading Royals-Bakersfield Condors-
162927Cleveland Monsters-Reading Royals-
164942Pee Dee Pride-Reading Royals-
166953Grand Rapids Griffins-Reading Royals-
168972Reading Royals-Macon Whoopee-
Trade Deadline --- Trades can’t be done after this day is simulated!
171984Abbotsford Canucks-Reading Royals-
1731001Reading Royals-Rockford IceHogs-
1751014Reading Royals-Milwaukee Admirals-
1771026Coachella Valley Firebirds-Reading Royals-
1801049Bloomington Bison-Reading Royals-
1811063Reading Royals-Bloomington Bison-
1831077Reading Royals-Henderson Silver Knights-
1841091Henderson Silver Knights-Reading Royals-
1861103San Diego Gulls-Reading Royals-
1871110Reading Royals-San Diego Gulls-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2612
Attendance12,6355,243
Attendance PCT90.25%74.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
33 2554 - 85.13% 57,594$403,158$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
350,135$ 2,684,578$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 350,135$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,900,602$ 162 14,280$ 2,313,360$




Reading Royals 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

Reading Royals Goalies Stat Leaders (Regular Season)

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

Reading Royals 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

Reading Royals 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

Reading Royals Goalies Stat Leaders (Play-Off)

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