Fade UNDER
3-7 O/U Record
30.0% Over Rate
-4.3u Units Won
-42.7% ROI
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Julius Randle's three-point shooting becomes significantly less reliable after extended rest, hitting the over in just 30.0% of games with 2+ days off (3-7-0 record). His 1.6 average falls 0.2 makes short of typical 1.8 lines, creating consistent under value. Lean Under with medium conviction.

Expert Analysis

The data reveals a concerning pattern in Randle's three-point consistency following extended rest periods. His 30.0% over rate across 10 games represents a substantial deviation from random variance, suggesting genuine rest-related shooting struggles. The -0.2 differential between his 1.6 average and standard 1.8 lines indicates oddsmakers haven't fully adjusted for this trend. Extended rest appears to disrupt Randle's shooting rhythm rather than enhance it, contrary to conventional wisdom about player recovery. The longest under streak of three games demonstrates the persistence of this pattern, while the brief single-game over streaks suggest temporary corrections rather than sustained improvement. This trend likely stems from timing disruption and reduced game flow familiarity that comes with extended breaks. Randle's three-point shooting relies heavily on rhythm and confidence, both of which suffer when his routine is interrupted by multiple days off. The -42.7% ROI on overs confirms this isn't just bad luck but a systematic inefficiency. However, the limited 10-game sample requires caution, and any significant line adjustments below 1.5 could eliminate the edge entirely.

Betting Verdict

LEAN UNDER with MEDIUM confidence. Randle's three-point shooting consistently underperforms after extended rest, creating reliable under value at standard 1.8 lines. The 70.0% under rate and -0.2 average differential provide a clear edge, particularly when combined with the -42.7% over ROI. Target games where the line remains at 1.5+ makes, but avoid if books adjust to 1.5 or lower, which would eliminate the mathematical advantage.

3 OVERS (30.0%)
7 UNDERS
0% 50% breakeven 100%

Performance vs Line

Game Log (Last 10 Games)

Date Opp Line Actual +/- Result
2024-01-23 OPP 2.5 2.0 -0.5 UNDER
2024-01-09 OPP 1.5 2.0 +0.5 OVER
2023-12-23 OPP 1.5 0.0 -1.5 UNDER
2023-12-18 OPP 1.5 1.0 -0.5 UNDER
2023-12-11 OPP 1.5 1.0 -0.5 UNDER
2023-12-08 OPP 1.5 3.0 +1.5 OVER
2023-11-24 OPP 1.5 1.0 -0.5 UNDER
2023-11-12 OPP 2.5 1.0 -1.5 UNDER
2023-11-06 OPP 1.5 3.0 +1.5 OVER
2023-10-31 OPP 2.5 2.0 -0.5 UNDER

Key Splits

Home vs Away

Home 33.3% Over
Away 25.0% Over

Favorite vs Underdog

Favorite 50.0% Over
Underdog 50.0% Over

Recent Trend

Last 5 20.0% Over
Last 10 30.0% Over

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Frequently Asked Questions

What is Julius Randle's 3-Pointers Made prop record 2+ days rest?

Randle's three-point made prop record with 2+ days rest is 3-7-0 over/under, hitting the over just 30.0% of the time. This represents a significant underperformance compared to typical 50-50 expectations, with seven unders in ten games creating consistent value.

Should I bet OVER or UNDER on Julius Randle 3-Pointers Made 2+ days rest?

Bet under on Randle's three-point made props after extended rest. The 70.0% under rate and -0.2 average differential provide clear mathematical value, particularly at standard 1.8 lines where his 1.6 average creates consistent shortfall opportunities.

What's Julius Randle's average 3-Pointers Made 2+ days rest?

Randle averages 1.6 three-pointers made with 2+ days rest, falling 0.2 makes short of typical 1.8 lines. This negative differential creates consistent under value, as his extended rest average fails to reach standard market expectations across the sample.

How reliable is this trend?

Target Randle three-point unders specifically after 2+ days rest when lines remain at 1.5+ makes. Avoid betting when lines drop to 1.5 or lower, as this eliminates the mathematical edge that makes this trend profitable for under bettors.

Methodology: This analysis covers 10 games from 2023-10-31 to 2024-01-23. O/U results use closing prop lines. ROI assumes -110 juice. Pushes excluded from percentages.