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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 SheezelNMB321856.3102.474.6+27.8
Nick DaicosCWB,C56285098.575.5+23
Sam ClohesyGCB,C6116.78165.4+15.6
Hayden YoungFRB,C661624.284.873.1+11.7
Nic MartinESB,C53183487.576.2+11.3
Nasiah Wanganeen-MileraSKB491428.683.176.4+6.7
Colby McKercherNMB,C9111.173.267.2+6
Isaac CummingGWSB,C751317.376.371.1+5.2
Will GrahamGCB,C512071.266+5.2
Jordan RidleyESB851112.975.672.1+3.5

Midfielders

NameClubPosGames100s%100sCar. Avg.T20Diff
Nick DaicosCWB,C56285098.570.9+27.6
Sam ClohesyGCB,C6116.78159.5+21.5
Caleb SerongFRC893943.891.872+19.8
Errol GuldenSYC762836.891.772.3+19.4
Will AshcroftBLC18422.282.964.8+18.1
Nic MartinESB,C53183487.569.5+18
Noah AndersonGCC902932.288.172.3+15.8
Tom GreenGWSC763039.58772.3+14.7
Jai NewcombeHWC591627.185.871.3+14.5
Will GrahamGCB,C512071.257.2+14

Rucks

NameClubPosGames100s%100sCar. Avg.T5Diff
Kieren BriggsGWSR35822.980.365.2+15.1
Toby ConwayGER30064.356.6+7.7
Ned MoyleGCR3006356.6+6.4
Matt FlynnWCR33412.170.564.9+5.6
Braydon PreussGWSR2872569.264+5.2
Kieran StrachanADR50062.257.2+5
Darcy CameronCWR811417.374.472.5+1.9
Jordon SweetPAR140065.465.6-0.2
Peter LadhamsSYR52713.567.869.4-1.6
Tristan XerriNMR42716.764.166.3-2.2

Forwards

NameClubPosGames100s%100sCar. Avg.T10Diff
Joe RichardsCWF1008152.8+28.2
Darcy WilsonSKC,F9111.171.661.7+9.9
Joel FreijahWBC,F1006252.8+9.2
Dylan MooreHWF841922.680.872.8+8
Ryley SandersWBC,F60062.759.5+3.2
Harley ReidWCC,F80062.861.4+1.4
Sam FlandersGCC,F521223.170.469.5+0.9
Mitch OwensSKF3937.766.465.9+0.5
Jye CaldwellESC,F64914.172.171.8+0.3
Ben HobbsESC,F4224.866.666.4+0.2

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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