Why MLB Home Teams Become Profitable After April (Market Timing Case Study)

Why MLB Home Teams Become Profitable After April

An MLB market timing case study

One of the most consistent mistakes sports betting markets make happens early in the season โ€” before pricing fully stabilizes. Major League Baseball is a textbook example of this behavior.

From 2004 onward, betting markets have repeatedly mispriced home teams in April, then overcorrected in May, creating a narrow but measurable edge for bettors who understand when the market adjusts.

This article breaks down why that happens โ€” and how bettors can take advantage of it.


The Data: April vs May in MLB

Home-field advantage exists in nearly every sport, but its pricing impact is not constant throughout the season.

Since 2004:

  • April home teams
    1692โ€“1522 (52.6%)
    โ€“171.97 units, โ€“4.0% ROI
  • May home teams
    2135โ€“1654 (56.3%)
    +119.13 units, +2.4% ROI

April has been the worst month for blindly betting MLB home teams.
May has been the most profitable.

That difference is not random.


Why the Market Misses This

Early-season pricing suffers from three predictable issues:

  1. Recency bias
    Bettors overweight small April samples and overreact to early streaks.
  2. Incomplete information
    Teams are not fully โ€œdefinedโ€ yet โ€” rotations, bullpens, and roles are still stabilizing.
  3. Bookmaker positioning
    Sportsbooks price lines knowing bettors hesitate to back home teams that struggled in April โ€” even when those teams are fundamentally sound.

By May, pricing starts to normalize โ€” but not perfectly. That lag is where the edge exists.

This is a classic example of market timing, not team strength.


Narrowing the Edge: A Filtered System

Rather than betting every home team in May, applying logical filters improves efficiency:

System parameters:

  • Home teams in May
  • โ€“175 or cheaper
  • Total between 7 and 10
  • Team scored 2+ runs in last game
  • Team win % under .600
  • Team win % lower than opponent
  • Non-interleague games
  • Short streaks only
  • Opponent coming off a close game

Results:
476โ€“333
+146.6 units, +15.6% ROI

This works because it removes:

  • Blowout-prone mismatches
  • Publicly inflated favorites
  • Emotionally charged anomaly games

What remains are quietly mispriced spots.


What This Actually Demonstrates

This isnโ€™t about โ€œhome teams being good.โ€

It demonstrates:

  • Early-season mispricing
  • Market correction timing
  • Why when you bet matters more than what you bet

This is the same principle behind Closing Line Value โ€” identifying moments where prices lag reality before the market fully adjusts.

๐Ÿ‘‰ For a broader explanation of why beating the number matters more than winning individual bets, see:
Closing Line Value Explained


How to Use This Going Forward

You donโ€™t need to blindly follow this system every season.

Use it as:

  • A timing filter
  • A confirmation signal
  • A reminder that April results often lie

Markets donโ€™t become efficient overnight โ€” they drift.
The bettorโ€™s job is to recognize when that drift creates opportuni