Jeremy Cameron (Geelong Cats) Under 15.5 Disposals (-114)

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Jeremy Cameron is predicted to have 12.5 disposals with a 19.2% edge favoring the under. In his last 5 home games, he averaged 11.4 disposals, falling short of the 15.5 line. Additionally, facing Richmond, Cameron's disposals average drops to 16, further supporting the under bet. His consistent performance with 5/5 hit rates in home games and overall play enhances the reliability of this prediction. Considering his recent form, lower disposals against Richmond, and the model's insight, backing Jeremy Cameron to stay under 15.5 disposals is a statistically sound choice for this AFL matchup at GMHBA Stadium.

Jonty Faull (Richmond) Over 0.5 Anytime Goalscorer (-152)

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Jonty Faull presents a strong case to snag a goal in the Geelong vs. Richmond matchup. Despite a modest L5 average of 0.6 goals in away games, Faull's consistent shot opportunities (2 shots at goal on average) and involvement in scoring plays (2.8 score involvements per game) suggest he is actively contributing in attack. His goal accuracy of 23.3% outperforms his overall average, indicating an upward trend in finishing. Facing Geelong at GMHBA Stadium, where he could capitalize on his 1.2 marks inside 50 average, Faull has a solid chance to hit the scoreboard. With a model predicting him to score 1.1 goals and a 19.2% edge, the bet on Faull to score anytime is a calculated gamble worth considering.

Jayden Short (Richmond) Over 19.5 Disposals (-118)

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Jayden Short is poised to shine against Geelong based on his recent form. With an impressive average of 23.2 disposals in his last five away games and facing an opponent where he averages 21.5 disposals, Short's consistency is a key factor. His disposalefficiency at 85.1% and ability to generate 428 metres per game indicate his impact on the field. Moreover, his recent 10 out of 11 hit rate on away games and 13 out of 16 overall further support his reliability. Despite the line being set at 19.5, Short's model-predicted 22.6 disposals, combined with his solid recent performances, make the Over a favorable bet with a 19.1% edge, showcasing his potential for a high-performance game.

Rory Laird (Adelaide Crows) Under 24.5 Disposals (-115)

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Rory Laird is poised to go under 24.5 disposals against Melbourne. Despite averaging 23.8 disposals in his last five home games, he's facing an opponent where he only averages 28 disposals. Laird's recent turnover rate of 3.6 per game could limit his possessions against Melbourne's pressure. His L5 contested possessions of 7 and L5 uncontested possessions of 15.6 suggest a potential struggle to meet the line. With a model predicting 21.5 disposals and a solid 78.4% disposal efficiency, Laird might fall short of the line in this game, making the under a valuable bet considering the statistical insights.

Kamdyn McIntosh (Richmond) Under 16.5 Disposals (-118)

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Kamdyn McIntosh faces a tough matchup against Geelong, where his average disposals are below the set line. His recent away form, averaging 12.4 disposals, falls short of the predicted 13.6. McIntosh's turnovers (3.4) and contested possessions (4.2) also suggest he may struggle to reach 16.5 disposals. With an edge of 17.8% based on the model's prediction, his inconsistent performance and the opponent's strong defense make betting on McIntosh to go under 16.5 disposals a statistically sound choice.

Harry Himmelberg (GWS GIANTS) Under 18.5 Disposals (-112)

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Harry Himmelberg is poised to fall under 18.5 disposals against the West Coast Eagles based on his recent performance. With a model predicting 15.8 disposals and a 17.7% edge, Himmelberg's L5 stats reveal a favorable trend. His average disposals in away games stand at 17.2, slightly below the line. Additionally, facing the Eagles, he averages 14.5 disposals in away games against them. Himmelberg's recent form includes an overall average of 16.4 disposals, indicating consistency below the set line. Considering his 76.7% disposalefficiency and a current hit streak of three, the under bet on Himmelberg is well-supported by his statistical profile and recent performance trends.

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