## Why Basketball Props Are More Tractable
Basketball player props are, on average, more predictable than football goalscorer markets. The reasons:
1. **High volume:** Players accumulate 15–35 statistical events (shots, rebounds, assists) per game vs a striker who might take 2–3 shots
2. **Stable rates:** A player's per-game averages are stable over 20+ game windows
3. **Opponent matchup data:** Defensive ratings by position are well-documented and predictable
4. **Minutes predictability:** NBA rotation patterns are consistent and publicly known
## The Core Model
Expected player points = Minutes played × (Points per minute adjusted for opponent)
**Step 1:** Calculate the player's points per minute over last 20 games (excludes blowouts where he rested)
**Step 2:** Adjust for opponent's defensive rating vs this position (how many points do opposing players at this position average?)
**Step 3:** Estimate minutes — based on recent rotation and confirmed injury report
**Step 4:** Multiply to get expected points
## The Over/Under Prop Value Calculation
Bookmaker line: LeBron James Over/Under 26.5 points at 1.91 each.
Your model estimates: 27.4 points expected, with a standard deviation of ~6 points.
P(Over 26.5) = P(Normal distribution with mean 27.4, sd 6 exceeds 26.5) = 56%
Implied probability at 1.91 = 52.4%.
56% > 52.4% → marginal value on Over.
## Injury Report Timing
NBA injury reports (official) are released at specific times before games. Players listed as "questionable" create pricing uncertainty. Acting immediately when a "questionable" player is confirmed as "active" (or "out") captures the most significant edges in basketball props.
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