Brandon Ingram's three-pointers made props present a clear under edge with books consistently setting lines too high. His 45.8% over rate across 24 games generates a solid 3.4% ROI on unders, while his 1.88 average sits comfortably above the typical 1.42 line. Lean under with medium confidence.
Expert Analysis
The market consistently overvalues Brandon Ingram's three-point output, creating a sustainable edge for under bettors. His 1.88 makes per game average exceeds the standard 1.42 line by 0.46 attempts, yet he still hits overs less than half the time at 45.8%. This suggests books are pricing in his peak performances while underweighting his inconsistent shooting nights. Ingram's three-point volume tends to fluctuate based on game flow and his primary role as a mid-range scorer, making him prone to quiet shooting nights that crush over bettors. The current three-game under streak aligns with his historical pattern of clustering cold stretches, particularly when his shot selection shifts toward his preferred two-point areas. His longest over streak of four games shows he can get hot, but the longest under streak matching at three games indicates more balanced variance than the betting market assumes. The negative 12.5% ROI on overs confirms that recreational money consistently inflates these lines, while sharp action finds value on the under side. Without significant role changes or dramatic shooting improvements, this trend should persist as books continue catering to casual over bias on a player whose three-point attempts remain secondary to his overall offensive approach.
Betting Verdict
LEAN UNDER with MEDIUM confidence. The 3.4% ROI on unders combined with Ingram's 54.2% under rate creates a measurable edge against consistently inflated lines. Target games where his usage focuses on mid-range scoring or when facing defenses that force him inside the arc. Primary risk involves hot shooting streaks that can quickly flip short-term variance, but the underlying value remains sound for patient bettors.
Performance vs Line
Game Log (Last 15 Games)
| Date | Opp | Line | Actual | +/- | Result |
|---|---|---|---|---|---|
| 2024-03-21 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-16 | OPP | 1.5 | 1.0 | -0.5 | UNDER |
| 2024-03-10 | OPP | 1.5 | 0.0 | -1.5 | UNDER |
| 2024-03-08 | OPP | 1.5 | 2.0 | +0.5 | OVER |
| 2024-03-05 | OPP | 1.5 | 0.0 | -1.5 | UNDER |
| 2024-02-27 | OPP | 1.5 | 3.0 | +1.5 | OVER |
| 2024-02-05 | OPP | 1.5 | 8.0 | +6.5 | OVER |
| 2024-01-29 | OPP | 0.5 | 2.0 | +1.5 | OVER |
| 2024-01-27 | OPP | 1.5 | 2.0 | +0.5 | OVER |
| 2024-01-23 | OPP | 1.5 | 0.0 | -1.5 | UNDER |
| 2024-01-19 | OPP | 1.5 | 1.0 | -0.5 | UNDER |
| 2024-01-02 | OPP | 1.5 | 2.0 | +0.5 | OVER |
| 2023-12-31 | OPP | 1.5 | 4.0 | +2.5 | OVER |
| 2023-12-28 | OPP | 1.5 | 1.0 | -0.5 | UNDER |
| 2023-12-26 | OPP | 1.5 | 2.0 | +0.5 | OVER |
Key Splits
Home vs Away
Favorite vs Underdog
Recent Trend
Find the Best 3-Pointers Made Prop Lines
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Compare SportsbooksFrequently Asked Questions
What is Brandon Ingram's 3-Pointers Made prop record all games?
Brandon Ingram has gone over his three-pointers made prop in 11 of 24 games (45.8%) from November 2023 through March 2024. His under record of 13-11-0 shows books consistently set lines too high relative to his actual output.
Should I bet OVER or UNDER on Brandon Ingram 3-Pointers Made all games?
Bet under on Brandon Ingram's three-pointers made props. The 3.4% ROI on unders versus -12.5% on overs creates a clear edge, supported by his 54.2% under rate across 24 games and systematic line inflation by books.
What's Brandon Ingram's average 3-Pointers Made all games?
Brandon Ingram averages 1.88 three-pointers made per game, which sits 0.46 makes above the typical 1.42 line. Despite this positive differential, he still hits unders 54.2% of the time, indicating consistent market overvaluation of his three-point volume.
How reliable is this trend?
Target Brandon Ingram three-point unders when his offensive role emphasizes mid-range scoring or against defenses that force interior play. His current three-under streak and historical clustering patterns suggest optimal timing during cold shooting stretches rather than chasing hot streaks.