15 Years Of AFL Betting Statistics

Ben H 6 September 2024 Last Updated: 10/09/24

We analysed 3,041 AFL games and betting data over the last 15 years. The following are our findings.

 

  • 3041 games analysed.
  • Finals & regular home and away season.
  • June 2009 – June 2024.
  • For betting analysis, we simulated a unit of $1.00

 

It’s not Collingwood that chokes the most – it’s Melbourne.

 

Let’s face it, we all love to get stuck into the magpies for choking. Heck, it’s nearly a national pastime.

So we decided to take a look at teams who lost when they were the strong favourites (Less than $1.50 odds)

When we look at the data we can see that the Demons have the top score, losing 33.7% of the games they should have won.

The baggers closely followed them with an unenviable record of 29.6% of games lost when they should have won.

 

Strong Favourite Team Total Games Games Lost Loss Percentage
Melbourne 95 32 33.70%
Carlton 81 24 29.60%
Essendon 75 20 26.70%
Gold Coast 34 9 26.50%
Adelaide 114 30 26.30%

 

So who can you bank on as a favourite?

 

So who can we rely on to win when they are the strong favourites? In short, it’s the West Coast Eagles.

They may not be at the peak of their powers right now, but over the last 15 years, they have only lost 14.5% of the time when they were the strong favourites.

Also an honourable mention to Freo who only lost 16.9% of the time. It must be something in the water over west… Or just an overpowered home-ground advantage. You decide…

 

Strong Favourite Team Total Games Games Lost Loss Percentage
West Coast 117 17 14.50%
Fremantle 89 15 16.90%
Hawthorn 144 26 18.10%
GWS Giants 81 16 19.80%
Collingwood 148 30 20.30%

 

So who is the most profitable AFL team to bet on?

 

We simulated a $1 bet on every game for every team. Not surprisingly, none of these will make you rich.

The number 1 team was Collingwood, returning a total profit of $6.10 over the last 15 years.

Following closely behind them in 2nd spot, the Swannies returned a total profit of $5.80.

 

Team Total Profit Total Games Total Wins Total Losses Total Draws
Collingwood  $              6.10 357 217 134 6
Sydney  $              5.80 355 218 134 3
Geelong  $              0.36 361 246 112 3
Hawthorn  $           (5.20) 349 201 144 4
Fremantle  $        (13.51) 341 172 166 3

 

Who is the least profitable AFL team to bet on?

 

There are no surprises here – the least profitable team to bet on would have been the Gold Coast Suns with a total loss of $73.34.

The next worst team to bet on would have been North Melbourne with a total loss of $64.29.

 

Team Total Profit Total Games Total Wins Total Losses Total Draws
Gold Coast  $        (73.34) 295 85 208 2
North Melbourne  $        (64.29) 335 132 201 2
Adelaide  $        (54.56) 339 166 171 2
Melbourne  $        (51.01) 338 147 188 3
Carlton  $        (50.84) 336 140 193 3

 

Which team has the strongest home-ground fortress advantage?

 

When it comes to profit, Geelong at the cattery has been the most profitable bet with a total profit of $23. (This is largely attributed to their incredible 13 game winning streaks in 2009, and 2011, followed by a 16 game winning streak in 2022).

Hawthorn and the Bombers also get a nod returning a total profit of $18.96, and $9.42 respectively, while the Dockers were the only other team to return a profit with $1.72.

Unfortunately for Dees supporters, Melbourne at the MCG faired worst with a total loss of -$33

 

Home Team Total Games Total Wins Win Percentage Total Profit
Geelong 185 150 81%  $                 23.02
Hawthorn 173 119 69%  $                 18.96
Essendon 164 83 51%  $                    9.42
Fremantle 172 104 60%  $                    1.72
Adelaide 172 100 58%  $                 (2.71)
Richmond 174 102 59%  $                 (5.41)
Western Bulldogs 168 94 56%  $                 (6.57)
Port Adelaide 172 102 59%  $                 (7.99)
Brisbane 174 95 55% $                 (8.97)
St Kilda 168 84 50%  $                 (9.37)
GWS Giants 139 73 53% $              (10.25)
West Coast 176 108 61%  $              (11.06)
Collingwood 181 113 62% $              (12.32)
Gold Coast 150 60 40%  $              (13.51)
Sydney 177 111 63%  $              (16.27)
North Melbourne 161 73 45%  $              (19.60)
Carlton 165 70 42%  $              (26.76)
Melbourne 170 78 46%  $              (33.73)

 

Who is the strongest on the road?

 

Great teams can win on the road. The Sydney Swans have consistently shown this, winning more times than the game odds suggest with a total profit of $22. followed closely by the Collingwood Magpies at $18.42.

Unfortunately the rest of the teams resulted in losses when playing away from home.

As for the worst, the Gold Coast Suns have consistently struggled playing away from home with a total loss of -$59

 

Away Team Total Games Total Wins Win Percentage Total Profit
Sydney 178 107 60%  $           22.07
Collingwood 176 104 59%  $           18.42
Fremantle 169 68 40%  $        (15.23)
West Coast 168 67 40%  $        (15.91)
Melbourne 168 69 41%  $        (17.28)
Richmond 170 79 46%  $        (17.43)
Port Adelaide 167 75 45%  $        (19.54)
Western Bulldogs 178 81 46%  $        (21.53)
GWS Giants 150 58 39%  $        (22.40)
Geelong 176 96 55%  $        (22.66)
Carlton 171 70 41% $        (24.08)
Hawthorn 176 82 47%  $        (24.16)
Essendon 170 65 38%  $        (31.61)
St Kilda 171 68 40%  $        (32.13)
Brisbane 167 55 33% $        (35.55)
North Melbourne 174 59 34%  $        (44.69)
Adelaide 167 66 40%  $        (51.85)
Gold Coast 145 25 17% $        (59.83)

 

Summary

 

We analysed all teams across all the basic factors and nothing was profitable enough to be excited about.

This shows that most of the time, the odds themselves (the market) have it right most of the time.

To get an edge in your AFL betting you need to go much deeper than the basics to find yourself meaningful profit.

 

Transparency

For this analysis, we sourced AFL betting data from Betfair’s AFL odds history database from June 2009 to June 2024. We simulated placing a $1.00 bet on each match using the closing odds. The simulation accounted for changes in line movement and market liquidity to reflect the most accurate odds available before each game.

 

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