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Data Analysis

The Breakout Tracker 2023 Demo

See which early career players are trending ahead of the best AFL Fantasy players in the competition using The Breakout Tracker.

Chart:

Breakout Tracker

Data:

Defenders

NameClubPosGames100s%100sCar. Avg.T10Diff
Harry SheezelNMB301860103.976.9+27
Nick DaicosCWB,C542648.197.576.7+20.8
Hayden YoungFRB,C641523.484.274.4+9.8
Nic MartinESB,C511631.486.277.7+8.5
Sam ClohesyGCB,C40080.372.9+7.4
Nasiah Wanganeen-MileraSKB471225.581.978.1+3.8
Isaac CummingGWSB,C751317.376.373.5+2.8
Will GrahamGCB,C41257572.9+2.1
Jordan RidleyESB851112.975.674.8+0.8
Jordan ClarkFRB8378.473.374.7-1.4

Midfielders

NameClubPosGames100s%100sCar. Avg.T20Diff
Nick DaicosCWB,C542648.197.567.7+29.8
Sam ClohesyGCB,C40080.356.2+24.1
Errol GuldenSYC742837.891.669.2+22.4
Caleb SerongFRC873742.59170.5+20.5
Nic MartinESB,C511631.486.267+19.2
Will AshcroftBLC18422.282.963.8+19.1
Will GrahamGCB,C41257556.2+18.8
Tom GreenGWSC743040.587.969.2+18.7
Noah AndersonGCC88293388.370.6+17.7
Jai NewcombeHWC571526.385.368.4+16.9

Rucks

NameClubPosGames100s%100sCar. Avg.T5Diff
Kieren BriggsGWSR33824.28063.8+16.2
Toby ConwayGER30064.354.3+10
Ned MoyleGCR3006354.3+8.7
Matt FlynnWCR33412.170.563.8+6.7
Braydon PreussGWSR2872569.263.5+5.7
Kieran StrachanADR50062.257.1+5.1
Darcy CameronCWR791417.77469.8+4.2
Peter LadhamsSYR52713.567.866.8+1
Luke JacksonFRR,F821012.270.569.8+0.7
Jordon SweetPAR130063.763+0.7

Forwards

NameClubPosGames100s%100sCar. Avg.T10Diff
Darcy JonesGWSF1007051.3+18.7
Dylan MooreHWF82182280.569.8+10.7
Harley ReidWCC,F60065.558.6+6.9
Ben HobbsESC,F402568.764.5+4.2
Ryley SandersWBC,F60062.758.6+4.1
Jye CaldwellESC,F62914.572.268.9+3.3
Mitch OwensSKF3738.167.264.1+3.1
Sam FlandersGCC,F50112269.267+2.2
Darcy WilsonSKC,F70065.363.1+2.2
Hugo GarciaSKC,F3005554.3+0.7

View the Breakout Tracker data and chart for every player in the competition by becoming a member.

Sign up here.

For those who haven’t heard of the Breakout Tracker before, we calculate the career average for every player that has played under 100 games. We then work out the combined career average of the top AFL Fantasy players in the competition at the same time in their careers. We then compare those figures and give you a differential.

You can use this information to see how players compare to the best in the league. This will give you an idea of their breakout likelihood, or if they’re trending towards being one of the top AFL Fantasy performers in the competition.

To explain the data above, let’s take Jai Newcombe for example. Newcombe has played a total of 28 games for a career average of 81.1. The top 20 midfielders in the competition had a combined average of 72.7 after their first 28 games, giving him a +8.4 point differential. This indicates he is trending towards being one of the top AFL Fantasy performers in the competition.

Members of The Keeper League podcast receive data for every player in the competition separated by position. They also receive a chart that allows you to compare players and positions visually as demonstrated above.

This data will update after every round of the 2023 AFL season.

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