Scoring Anomalies – Round 9

Written by The Salamander on May 21 2021

As I said last time around, it’s time to try and work out what’s behind those blue and red lines above. Having managed to get the requisite data last week,  I was hoping to have more to show for my efforts, but this last week has gone by very quickly, and I haven’t had as much of a chance to poke around as I was hoping.

I have had plenty of time to think about my mental model of how I think the scaling works, so I thought I’d share that with you this week. Hopefully this will be at least somewhat enlightening; in any case, forcing myself to explain it to others will very quickly show up any deficiencies in my understanding, so it’s also a good way of figuring out what I don’t know.

The scaling has two purposes: first, to get the number of points allocated down to 3300 (a typical game in 2021 will be in the mid-4000s). This is what the linear scaling is all about. The second is to alter the actual proportions of points given out, so that some players do better, and others do worse. This, we’re told, is primarily based on the extent to which the game was ‘on the line’ when players were involved in the game.

The way the first part works is simple: multiply each player’s score by some multiplier, determined by dividing 3300 by the total raw points allocated for the match, before rounding. So…

Linear-Scaled Score = Raw Score x Multiplier

Where

Multiplier = 3300 / Total Raw Points For The Match

The second part is a little more complicated. Basically, the match is divided up into chunks of time, each of which is assigned a weighting based on how close the match is during that chunk of time. Raw points from that period are then multiplied by that weighting (the default would be 1, so that, by default, the scores don’t change). For example, an effective kick is normally 4 points, but, if the weighting for that period of time is only .75, then it would only be worth 3 points. If the weighting was 1.5, then it would be worth 6. That’s before we scale things to 3300.

So, how is that weighting determined? Beyond “it has something to do with how close the game is”, I’m not sure yet. I’ll need to actually play around with the data to work that out. In the meantime, if anyone knows of anything online where Champion Data explains something about how their scaling works, let me know in the comments – it could prove very helpful!

Likewise, if there’s anything about the above explanation that seems off, or just doesn’t make sense, please let me know in the comments.

As always, you can look up any player you like in the table below to see how their score was affected by scaling on the weekend; for an in-depth breakdown of their scoring, see the spreadsheets attached at the bottom of this post.

 

Name Club Raw Linear-Scaled ActualDiff
Chris BurgessGCFC41.533407
John NobleCOLL80.56462-2
Liam BakerRICH159132130-2
Lachie SchultzFRE63.550588
Mitch LewisHAW47.537414
Tom DoedeeADEL138.51051138
Jack HenryGEEL79.56461-3
Harry McKayCARL81.570755
James CousinsHAW147116113-3
Harry MorrisonHAW947471-3
Willem DrewPORT1321051094
Hugh McCluggageBL144.511612812
Daniel RioliRICH71598223
Nick LarkeyNMFC6954606
Jordan RidleyESS1301021053
Oliver HanrahanHAW45.53631-5
Izak RankineGCFC40.533330
Connor RozeePORT8467714
Isaac CummingGWS127105104-1
Bayley FritschMELB7968735
Mitch HannanWB49.53934-5
Ben McKayNMFC69.555583
Esava RatugoleaGEEL10282842
James WorpelHAW99.57873-5
Jack HigginsSTK6048513
Lachie FogartyCARL94.58174-7
Patrick NaishRICH61.55146-5
Andrew BrayshawFRE162127126-1
Adam CerraFRE1259888-10
Noah BaltaRICH3025283
Kane FarrellPORT4637370
Hunter ClarkSTK90.57370-3
Luke Davies-UniackeNMFC12810194-7
Charlie SpargoMELB73.56360-3
James BellSYD0000
Jarrod BranderWCE997570-5
Zac BaileyBL100.581821
Mitch CrowdenFRE393127-4
Brandon StarcevichBL897257-15
Aaron NaughtonWB11793985
Callum L. BrownCOLL5241421
Jack BytelSTK82.566660
Patrick LipinskiWB57.546460
Hayden McLeanSYD1391111176
Jack LukosiusGCFC745954-5
Zac LangdonWCE0000
Oscar AllenWCE9370700
Tobe WatsonFRE70.555594
Beau McCreeryCOLL52.542442
Zach GuthrieGEEL63.55147-4
Lachie YoungNMFC4132331
Jordon ButtsADEL79.56058-2
Todd MarshallPORT7257669
Josh DaicosCOLL106.58578-7
Sam TaylorGWS5647514
Kade ChandlerMELB16147-7
Oscar McInerneyBL1098871-17
Josh CorbettGCFC3629378
Tarryn ThomasNMFC101.5809414
Malcolm RosasGCFC28.52321-2
Liam HenryFRE3931332
Nick BlakeySYD675351-2
Jacob KoschitzkeHAW927270-2
Keidean ColemanBL72.55848-10
Caleb GrahamGCFC786350-13
Sam WalshCARL139120111-9
Bailey J. WilliamsWCE63.54845-3
James RowbottomSYD117931007
Bailey SmithWB12910395-8
Jack RossRICH0000
Xavier O'HalloranGWS72.56056-4
Lachlan ShollADEL1098375-8
Curtis TaylorNMFC574544-1
Max KingSTK83.56764-3
Ben KingGCFC72.558646
Bobby HillGWS45.538457
Jordan ClarkGEEL56.545538
Chayce JonesADEL5038391
Sam WicksSYD89.5718211
Dylan MooreHAW87.56965-4
Jack PetruccelleWCE6549578
Wil PowellGCFC56.545483
Connor IdunGWS756261-1
Isaac QuaynorCOLL705649-7
Jake RiccardiGWS72.56048-12
Matthew CottrellCARL69.56058-2
Will HamillADEL6448502
Tyler BrownCOLL82.56661-5
Brayden HamESS63.550511
Tom McCartinSYD866968-1
Riley Collier-DawkinsRICH10184884
Liam StockerCARL52.545538
Riley ThilthorpeADEL69526210
Kieren BriggsGWS58.54942-7
Rhyan MansellRICH312623-3
Kysaiah PickettMELB60.55250-2
Harry SchoenbergADEL83.563674
Charlie BallardGCFC98.57976-3
Harrison PettyMELB63.55550-5
Lachlan McNeilWB59.54746-1
Jack MahonyNMFC7257570
Miles BergmanPORT705653-3
Noah AndersonGCFC10181843
Lachie AshGWS66.555550
Sam FlandersGCFC917364-9
Trent RiversMELB796860-8
Deven RobertsonBL7661687
Jaxon PriorBL71.557669
Caleb SerongFRE1088573-12
Tom GreenGWS1109171-20
Jack BuckleyGWS7461632
Mitch GeorgiadesPORT8265694
Jack MadgenCOLL0000
Ronin O'ConnorADEL6247470
Caleb PoulterCOLL87.57066-4
Tom PowellNMFC65.55245-7
Harrison JonesESS5946493
Cody WeightmanWB88.570755
Justin McInerneySYD120961004
Hugo RalphsmithRICH42.53533-2
Ryan ByrnesSTK594741-6
Chad WarnerSYD796358-5
Luke ParksCARL2925272
Tanner BruhnGWS43.536459
Sam BerryADEL78.559634
Will PhillipsNMFC0000
Charlie LazzaroNMFC3225283
Oliver HenryCOLL16.5137-6
James JordonMELB114.59996-3
Matthew OwiesCARL6556582
Mark KeaneCOLL54.543474
Nik CoxESS31.525305
Archie PerkinsESS48.53830-8
Max HolmesGEEL0000
David MundyFRE105.583907
Eddie BettsCARL51.544517
Grant BirchallBL1391121120
Lance FranklinSYD79.56362-1
Josh J. KennedyWCE74567822
Marc MurphyCARL9985883
Paddy RyderSTK1058474-10
Bachar HouliRICH96.58070-10
Joel SelwoodGEEL88.57166-5
David MackayADEL745651-5
Travis BoakPORT151.51201233
Jack RiewoldtRICH54.545516
Shaun HigginsGEEL10282886
Scott PendleburyCOLL937473-1
James FrawleySTK675449-5
Josh P. KennedySYD1139083-7
Dayne ZorkoBL174.51401400
Ben McEvoyHAW987770-7
Robbie GrayPORT93.57466-8
Tom HawkinsGEEL98799112
Hamish HartlettPORT85.56867-1
Ed CurnowCARL119.5103100-3
Lachie HendersonGEEL117.594995
Cale HookerESS8365694
David ZaharakisESS886968-1
Rory SloaneADEL117.58982-7
Nic NaitanuiWCE1611221253
Daniel RichBL119.59694-2
Todd GoldsteinNMFC184.51451505
Callan WardGWS1361131207
Chris MayneCOLL142.5114112-2
Charlie DixonPORT119.59510712
Liam ShielsHAW1259897-1
Luke BreustHAW93.574806
Dylan GrimesRICH106.5889810
Jake MelkshamMELB0000
Ben CunningtonNMFC184.5145134-11
Jack ZiebellNMFC11389890
Steele SidebottomCOLL12510094-6
Travis ColyerFRE54.54340-3
Steven MotlopPORT85.56863-5
Michael WaltersFRE856763-4
Mitch DuncanGEEL154124121-3
Liam JonesCARL353027-3
Brad SheppardWCE115.58872-16
Steven MayMELB99859510
Hugh GreenwoodGCFC133.5107104-3
Levi CasboultCARL55.548557
Easton WoodWB7.5671
Jack ReddenWCE1371041084
Taylor DuryeaWB120.59688-8
Michael HibberdMELB6052564
David AstburyRICH816762-5
Kyle HartiganHAW7055561
Tom CampbellNMFC107.585883
Josh ThomasCOLL74.559601
Dane RampeSYD10382919
Mitch RobinsonBL138111104-7
Max GawnMELB152131117-14
Cameron GuthrieGEEL171137136-1
Dyson HeppellESS11590911
Daniel LloydGWS100.58310017
Jimmy WebsterSTK73.559612
Luke ParkerSYD12398980
Shaun AtleyNMFC897066-4
Alex KeathWB49.53938-1
Tom LiberatoreWB12810296-6
Andrew GaffWCE138.510594-11
Reece ConcaFRE0000
Jamie CrippsWCE1381051149
David SwallowGCFC147.51191278
Jack DarlingWCE1068010222
Dustin MartinRICH1391151216
Gary RohanGEEL9576760
Josh BruceWB645150-1
Tom McDonaldMELB13811913617
Ryan LesterBL1411176
Josh WalkerNMFC95.57574-1
Nat FyfeFRE101.580844
Will Hoskin-ElliottCOLL1118882-6
Brodie SmithADEL92.570700
Devon SmithESS43.53429-5
Adam TreloarWB106.58583-2
Matt BuntineGWS4033363
Tom StewartGEEL13010498-6
Robbie FoxSYD7257581
Brody MihocekCOLL39.531321
Tom MitchellHAW1048276-6
Ben BrownMELB50.543496
Brendon Ah CheeWCE80.561632
Chad WingardHAW1199492-2
Harry CunninghamSYD887062-8
Tom JonasPORT665250-2
Zach TuohyGEEL1271021108
Luke BrownADEL1078179-2
Rory LairdADEL175133120-13
Lincoln McCarthyBL105849612
Hayden CrozierWB98.578802
Brandon EllisGCFC99.580800
Jarryd LyonsBL186.5150138-12
Sam FrostHAW10280877
Tom J. LynchRICH67.55653-3
Jeremy CameronGEEL6653596
Sebastian RossSTK132.5107103-4
Matt TabernerFRE110.587914
Jack CrispCOLL144115111-4
Jed BewsGEEL55.54542-3
Brodie GrundyCOLL1351081091
Sean LemmensGCFC28.52314-9
George HewettSYD99.57972-7
Andrew PhillipsESS91.57269-3
Michael HartleyHAW4636382
Anthony McDonald-TipungwutiESS10784873
Jason JohannisenWB94758611
Nathan WilsonFRE85.567736
Marcus AdamsBL10383874
Sam MenegolaGEEL107869610
Tom HickeySYD1391111187
Lachie WhitfieldGWS978180-1
Brad CrouchSTK146.5118116-2
Ollie WinesPORT178141139-2
Aliir AliirPORT977776-1
Rory AtkinsGCFC70.557658
Tom ClureyPORT6.554-1
Joe DaniherBL10181843
Kamdyn McIntoshRICH7058624
Tim MembreySTK80.565694
Jaeger O'MearaHAW1038171-10
Lachie PlowmanCARL38.53329-4
James StewartESS60.54846-2
Nick VlastuinRICH87.573807
Zac WilliamsCARL101.58785-2
Paul SeedsmanADEL906862-6
Jeremy McGovernWCE135.510399-4
Isaac SmithGEEL1139179-12
James AishFRE1229695-1
Caleb DanielWB1431141206
Nathan BroadRICH115.59686-10
Jake LloydSYD127.510298-4
Toby GreeneGWS8066715
Sam CollinsGCFC58475710
Adam SaadCARL958280-2
Jack MacraeWB143.51141151
Sam DochertyCARL152.5131120-11
Bradley HillSTK108.587881
Tim KellyWCE170.5129127-2
Trent DumontNMFC6753530
Tim O'BrienHAW49.53935-4
Taylor GarnerNMFC97.57773-4
Michael GibbonsCARL5648491
Jack SteeleSTK145.5117116-1
Jarman ImpeyHAW1108782-5
Darcy GardinerBL117.594940
Blake AcresFRE90.571754
Dom SheedWCE95.57271-1
Jesse HoganGWS114.59589-6
Orazio FantasiaPORT4637381
Josh KellyGWS162.5135132-3
Jack BillingsSTK124.51001011
Christian SalemMELB125.51081168
Alex Neal-BullenMELB91.579812
Callum WilkieSTK4335372
Mark BlicavsGEEL1118985-4
Aaron HallNMFC1361071125
Karl AmonPORT118.59492-2
Marcus BontempelliWB163130128-2
Nick HindESS175138127-11
Jake KellyADEL886763-4
Daniel McStayBL128.510312522
Reilly O'BrienADEL9773807
James HarmesMELB113.59884-14
Nic NewmanCARL94.58176-5
Toby NankervisRICH118.5981057
Christian PetraccaMELB113.5981013
Ed LangdonMELB1261081102
Angus BrayshawMELB87.57566-9
Jayden LaverdeESS7660655
Jake LeverMELB1079290-2
Darcy MooreCOLL8366759
Peter WrightESS56.5445410
Marc PittonetCARL117101100-1
Jackson NelsonWCE594542-3
Oleg MarkovGCFC119.5961015
Brandan ParfittGEEL8468713
Callum Ah CheeBL5443518
Shane McAdamADEL100.576815
Lachie WellerGCFC7157647
Isaac HeeneySYD137.51101100
Kyle LangfordESS7861676
Tom BarrassWCE79.56053-7
Darcy CameronCOLL9072753
Will SnellingESS755956-3
Charlie CameronBL84.568768
Patrick CrippsCARL110.59594-1
Rory LobbFRE876866-2
Aaron FrancisESS685351-2
Jack GrahamRICH115.59610913
Billy FramptonADEL36.528291
Darcy Byrne-JonesPORT1159187-4
Jason CastagnaRICH887364-9
Zaine CordyWB12710111110
Jack LonieSTK43.535383
Brayden MaynardCOLL131.510511510
Connor MenadueNMFC38.530355
Zach MerrettESS897064-6
Anthony ScottWB6854573
Jayden ShortRICH119991012
Roarke SmithWB7560622
Sam SwitkowskiFRE6652520
Ryan BurtonPORT52.54239-3
Jordan DawsonSYD91.573818
Jordon SweetWB756056-4
Bailey WilliamsWB10785850
Dan ButlerSTK8871787
Daniel HoweHAW0000
Rowan MarshallSTK625043-7
Kayne TurnerNMFC493936-3
Jake AartsRICH75.563663
Harry HimmelbergGWS23.52018-2
Dougal HowardSTK745956-3
Marlion PickettRICH635246-6
Blake HardwickHAW15812413410
David CuninghamCARL0000
Tom WilsonCOLL23.519190
Sam WeidemanMELB42.5374912
Darcy TuckerFRE836562-3
Darcy ParishESS169.51331341
Tom ColeWCE71.554540
Rhys MathiesonBL76.56157-4
Jacob WeiteringCARL56.54943-6
Matt FlynnGWS140116103-13
Jacob HopperGWS165.51371370
Callum MillsSYD140112100-12
Ben LongSTK8682
Ben KeaysADEL111.584851
Eric HipwoodBL100.581810
Sam Powell-PepperPORT94.57574-1
Jy SimpkinNMFC212.5167164-3
Jordan De GoeyCOLL72.558613
Jayden HuntMELB78677811
Tom AtkinsGEEL957674-2
Jack SinclairSTK887170-1
Riley BonnerPORT756048-12
Harris AndrewsBL147.511991-28
Matt GuelfiESS876861-7
Darcy MacPhersonGCFC14.5127-5
Tom PhillipsHAW9776815
Jake WatermanWCE113.58682-4
Clayton OliverMELB150.512914011
Bailey DaleWB10785850
Tom PapleySYD87.570777
Brennan CoxFRE1281011021
Mason RedmanESS1461151216
Will HaywardSYD10281832
Peter LadhamsPORT93.57467-7
Andrew McPhersonADEL0000
Josh RothamWCE120.59184-7
Griffin LogueFRE1159010010
Andrew McGrathESS139109104-5
Oliver FlorentSYD715755-2
Jack ScrimshawHAW137.51081091
Taylin DumanFRE977670-6
Alex WitherdenWCE1611221220
Ben AinsworthGCFC675448-6
Josh BattleSTK967772-5
Sean DarcyFRE1801411465
Tim TarantoGWS12410396-7
Tom HighmoreSTK58.547470
Harry PerrymanGWS95.57972-7
Will SetterfieldCARL1018782-5
Jack BowesGCFC594745-2
Changkuoth JiathHAW796261-1
Cameron ZurhaarNMFC74.5598122
Jamaine JonesWCE785954-5
James RoweADEL1098380-3
Martin FrederickPORT119145
Brad CloseGEEL83.5677811
Darcy FogartyADEL6852597
Jy FarrarGCFC66.55351-2
Quinton NarkleGEEL866967-2

 

LEGEND:

Raw: SuperCoach points, added up according to the formula put out by Champion Data, before any scaling.

Linear-Scaled: Raw points, multiplied by a multiplier (3300 / total raw points for the match) to get the scores in each game to add up to 3300.

Actual: Actual SuperCoach points, as awarded by Champion Data.

Diff: Difference between actual and linear-scaled points. In practice, this is how favourably or unfavourably a player was scaled – this is ultimately what I’m setting out to investigate.

 

Round 9 Full Breakdown (Stat-By-Stat)

Round 9 Summary (General Categories)

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8 thoughts on “Scoring Anomalies – Round 9”

  1. Theres been a change to the scoring last 2 weeks, games were going from 3000, 3100 at full time (200 to 300sc scaling) with last 2 weeks 2800, 2900sc with 400 to 500sc scaling added after full time. The allocation of scaling hasnt been great.

    Redden (2 weeks ago) 31d, 24 effective (77.4%) got 78sc (hardly any scaling)
    Titch last week 28d, 24 effective (85%) got 76sc (no scaling)

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    1. It’s not actually that the raw scores are that low (2800 to 3000) and being scaled up – CD scales throughout the match, as well as afterwards, because otherwise people would see raw scores of around 200 suddenly go down to 140 at full-time, and would complain very loudly.

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    2. A lot of chat and questions about massive scaling changes over the couple of weeks in particular.

      Remember, there are a total of 3300 points to be allocated over every game. Points are attributed for every “act” and scaling is done continuously to calibrate the total. And then further adjustments are made at the end of each qtr and finally at the end of the game. Always totalling within a few points (rounding) of 3300.

      Usually the live scores are updated within about a minute of real time. But for the last couple of weeks I suspect CD have had serious system delays.

      Scores have regularly been 100’s points behind where you would expect for the stage of the game.

      I don’t think this is a scaling issue. Stats such as disposals seem to updated close to real time, like normal, but the points aren’t being updated til much later. At times last week a couple of games were almost a qtr behind.

      Again, I don’t think this is scaling. I think there have been system/scoring delays.

      Can anyone in the know confirm or deny?

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  2. This may have asked b4 but could somebody with the knowledge write an article explaining how CD score each player each game. Also explain scaling . It does do some strange things. Thanks

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