Dillon Brooks blocks props on one day rest present an exceptional under opportunity, hitting just 11.8% of the time across 34 games. Brooks averages only 0.15 blocks versus the typical 0.5 line, creating a massive -0.35 differential that has generated +68.5% ROI for under bettors.
Expert Analysis
The blocks under trend for Dillon Brooks on one day rest represents one of the most reliable defensive prop edges in the market. Brooks's 0.15 blocks average against the standard 0.5 line creates a fundamental mismatch that sportsbooks haven't adequately adjusted for. His role as Houston's primary perimeter defender focuses on pressuring ball handlers rather than rim protection, naturally limiting block opportunities. The one day rest factor appears to compound this limitation, as Brooks maintains his defensive intensity on the perimeter but shows less help-side activity that typically generates blocks for wings. His 4-30-0 record demonstrates remarkable consistency, with only brief two-game over streaks breaking longer under runs. The current seven-game under streak follows his established pattern, and the 8-game longest under streak suggests this isn't random variance but a systematic tendency. Brooks's defensive metrics show he generates steals at a much higher rate than blocks, confirming his perimeter-focused approach. The sample size of 34 games provides statistical significance, while the -77.5% over ROI indicates the market hasn't corrected this pricing inefficiency. Without major role changes or injury concerns affecting his defensive positioning, this trend shows strong persistence indicators.
Betting Verdict
UNDER with HIGH confidence. Brooks's blocks props on one day rest offer exceptional value with an 88.2% hit rate and +68.5% ROI. The fundamental mismatch between his 0.15 average and 0.5 line reflects his perimeter-focused defensive role that limits rim protection opportunities. Target this prop when Brooks plays his typical 30+ minutes in competitive games, as blowouts could reduce his defensive intensity and sample size.
Performance vs Line
Game Log (Last 15 Games)
| Date | Opp | Line | Actual | +/- | Result |
|---|---|---|---|---|---|
| 2024-04-11 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-04-09 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-04-07 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-04-04 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-04-02 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-31 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-29 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-27 | OPP | 0.5 | 2.0 | +1.5 | OVER |
| 2024-03-25 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-21 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-16 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-14 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-12 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-10 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
| 2024-03-08 | OPP | 0.5 | 0.0 | -0.5 | UNDER |
Key Splits
Home vs Away
Favorite vs Underdog
Recent Trend
Find the Best Blocks Prop Lines
Compare Dillon Brooks props across top sportsbooks.
Compare SportsbooksFrequently Asked Questions
What is Dillon Brooks's Blocks prop record 1 day rest?
Brooks is 4-30-0 over/under on blocks props with one day rest, hitting just 11.8% of overs. He averages 0.15 blocks against the typical 0.5 line, creating a -0.35 differential that strongly favors under bettors.
Should I bet OVER or UNDER on Dillon Brooks Blocks 1 day rest?
Bet the UNDER with high confidence. Brooks's 88.2% under hit rate and +68.5% ROI make this one of the market's best defensive prop values. His perimeter defensive role naturally limits block opportunities compared to the standard line.
What's Dillon Brooks's average Blocks 1 day rest?
Brooks averages 0.15 blocks on one day rest, significantly below the standard 0.5 line. This -0.35 differential represents one of the largest gaps between player performance and market expectations in defensive props.
How reliable is this trend?
Target Brooks blocks unders on one day rest when he's playing 30+ minutes in competitive games. Avoid during potential blowouts where reduced playing time or defensive intensity could affect the sample size and reliability.