Markets don’t stay hot forever — the pros profit when the balance returns.
If you’ve followed this series, you already know that sports betting isn’t about predicting the future — it’s about timing the market.
Momentum, perception, streaks — all of it eventually bends back toward balance.
That’s not luck. That’s the Law of Average, and if you learn to trust it, you’ll stop panicking when things get weird and start positioning yourself for profit.
As I wrote in my book:
“In every sport, there’s a point where numbers normalize and emotion fades. That’s when the smart money steps in.”
— Ron Raymond, The 24HR Rule
That quote sums up the difference between pros and public bettors.
The public reacts. The pros anticipate regression.
⚖️ What Is the Law of Average (L.O.A.)?
The Law of Average says that, over time, teams and results will return toward their statistical baseline.
You see this every season:
- A 10–2 team suddenly drops two games to weaker opponents.
- A 1–6 team wins three straight after a brutal stretch.
- Overs cash nine in a row before totals start tightening.
That’s not magic — it’s math correcting emotion.
The market overreacts to what just happened, not what’s sustainable.
The Law of Average reminds us that nothing stays extreme forever.
📊 How the Raymond Report Tracks Regression
In the Raymond Report, L.O.A. isn’t guesswork — it’s measurable.
You combine it with:
- C.O.W. (Chance of Winning) → to project the true win probability.
- DMVI (Daily Market Value Index) → to spot mispricing and inflated lines.
- Performance Cycles (Bullish / Neutral / Bearish) → to identify when a team is peaking or fading.
When a team’s metrics scream “unsustainable,” that’s your first alert.
Example:
A C-type underdog wins four in a row and moves from Bearish → Bullish. Their DMVI spikes negative (overpriced), public perception flips positive, and totals rise.
A pro looks at that and thinks: “Perfect. Time to sell high.”
That’s L.O.A. in action.
🧩 How Pros Bet Regression
Regression isn’t punishment — it’s predictability.
Here’s how sharp bettors use it:
1️⃣ Identify the outlier – a team, player, or trend running too hot or too cold.
2️⃣ Compare the data vs. baseline – historical averages, season norms, pace, etc.
3️⃣ Wait for confirmation – a market overreaction, public frenzy, or line movement spike.
4️⃣ Strike when value flips – when the price no longer reflects the truth.
That’s where the Law of Average pays you — in the overreaction gap.
💡 Example:
Let’s say overs are hitting 70% in the NBA over a 7-day stretch.
Public piles on. Totals jump from 223 to 231 overnight.
A pro doesn’t follow the crowd — he waits for the pendulum to swing back.
He knows pace, efficiency, and variance will normalize.
When the overs stop cashing and the public panics, he quietly buys the unders.
That’s not guessing. That’s exploiting the Law of Average.
🧠 The 24HR Rule Connection
The 24HR Rule keeps you from overreacting to short-term results.
One day of wins doesn’t make you a genius.
One bad weekend doesn’t make you cursed.
By stepping back for 24 hours, you give regression time to reveal itself.
That’s when clear-headed analysis — not emotion — guides your next move.
🏁 Final Takeaway
Sports betting is a cycle of overreaction and correction.
The amateurs panic when the wave hits.
The professionals ride it — and cash when it breaks.
The Law of Average isn’t about predicting the future.
It’s about knowing balance always returns, and being positioned when it does.
That’s how you turn volatility into value — and chaos into control.
📣 CTA:
Follow The 24HR Rule Playbook daily on ATSStats.com — where Ron Raymond breaks down the psychology, math, and market logic behind every betting edge.
Learn how pros win when the public overreacts.
