Josh Giddey's three-pointers made props on one day rest present a compelling over opportunity, hitting at a 55.3% clip across 38 games with a +0.5 differential above the typical line. The Thunder guard averages 1.11 makes versus a 0.66 line, generating positive ROI that warrants serious consideration for over bets.
Expert Analysis
The 55.3% over rate on Giddey's three-point props with one day rest reveals a market inefficiency that sharp bettors should exploit. His 1.11 average significantly outpaces the 0.66 line, creating a substantial 0.5 differential that suggests consistent undervaluation by oddsmakers. This edge likely stems from Giddey's evolving role within Oklahoma City's offensive system, where adequate rest allows him to be more aggressive from beyond the arc rather than focusing solely on playmaking duties. The Thunder's pace and spacing improve with proper rest, creating better looks for Giddey who has steadily increased his three-point attempts as his confidence grows. The +5.5% ROI on overs demonstrates real profitability over a meaningful 38-game sample, while the crushing -14.6% under ROI shows the market consistently sets this line too low. His current two-game over streak aligns with an eight-game maximum over run, indicating this isn't random variance but a sustainable pattern. The absence of concerning regression indicators combined with Oklahoma City's commitment to player development suggests Giddey's three-point volume will continue exceeding market expectations when properly rested.
Betting Verdict
LEAN OVER with MEDIUM confidence. The 55.3% hit rate and +0.5 differential above market lines create a legitimate edge worth exploiting. Giddey's three-point aggression increases meaningfully with proper rest as Oklahoma City's offensive flow improves. The primary risk lies in potential blowout situations where garbage time could inflate makes, but the consistent volume and improving shooting mechanics make overs the preferred play when Giddey gets standard rest between games.
Performance vs Line
Game Log (Last 15 Games)
| Date | Opp | Line | Actual | +/- | Result |
|---|---|---|---|---|---|
| 2024-04-14 | OPP | 0.5 | 1.0 | +0.5 | OVER |
| 2024-04-07 | OPP | 0.5 | 1.0 | +0.5 | OVER |
| 2024-04-05 | OPP | 1.5 | 0.0 | -1.5 | UNDER |
| 2024-03-31 | OPP | 1.5 | 2.0 | +0.5 | OVER |
| 2024-03-29 | OPP | 1.5 | 1.0 | -0.5 | UNDER |
| 2024-03-26 | OPP | 0.5 | 5.0 | +4.5 | OVER |
| 2024-03-24 | OPP | 0.5 | 4.0 | +3.5 | OVER |
| 2024-03-22 | OPP | 0.5 | 1.0 | +0.5 | OVER |
| 2024-03-14 | OPP | 0.5 | 2.0 | +1.5 | OVER |
| 2024-03-12 | OPP | 0.5 | 1.0 | +0.5 | OVER |
| 2024-03-10 | OPP | 0.5 | 1.0 | +0.5 | OVER |
| 2024-03-08 | OPP | 0.5 | 1.0 | +0.5 | OVER |
| 2024-03-06 | OPP | 0.5 | 1.0 | +0.5 | OVER |
| 2024-02-29 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-02-27 | OPP | 0.5 | 1.0 | +0.5 | OVER |
Key Splits
Home vs Away
Favorite vs Underdog
Recent Trend
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Compare SportsbooksFrequently Asked Questions
What is Josh Giddey's 3-Pointers Made prop record 1 day rest?
Josh Giddey's three-pointers made props on one day rest show a 21-17 over/under record (55.3% overs) across 38 games. He averages 1.11 makes compared to the typical 0.66 line, creating a significant +0.5 differential above market expectations.
Should I bet OVER or UNDER on Josh Giddey 3-Pointers Made 1 day rest?
Lean over on Josh Giddey's three-pointers made props with one day rest. The 55.3% over rate and +0.5 average differential above the line create a profitable edge, generating +5.5% ROI for over bettors across a meaningful 38-game sample.
What's Josh Giddey's average 3-Pointers Made 1 day rest?
Josh Giddey averages 1.11 three-pointers made on one day rest, significantly outpacing the typical 0.66 line set by sportsbooks. This +0.5 differential represents substantial value, as the market consistently undervalues his three-point production with proper rest.
How reliable is this trend?
Target Josh Giddey's three-point props when he has exactly one day rest between games. The Thunder's improved offensive flow and Giddey's increased aggression in these spots create the optimal conditions for exceeding the typically low market lines.