The Trends Model: Player Prop Hit Rates vs. the Price

Over in 8 of the last 10. It might be the most repeated stat in player prop betting, and one of the most misused.

A hit rate on its own tells you nothing about whether a bet is good. It only means something next to the price. The Trends model in Optimal+ is built around that comparison, with guardrails that keep a hot streak from passing itself off as an edge.

Hit Rate vs. Implied Probability

Every price has a break-even win rate built in. That’s its implied probability. A trend only points to value when the hit rate is higher than that number.

Say a player has cleared their receptions line in 7 of their last 10 games, a 70% hit rate. Whether that’s a bet depends entirely on the odds:

Same player, same trend, four different answers. That’s why the Trends model never looks at a hit rate without the price beside it.

Try the implied-probability-calculator→

Why Raw Trends Mislead

Hit rates are popular because they’re easy to read. They’re also easy to over-trust.

• Small samples. Ten games isn’t much evidence. A player with a true 55% rate will post 7 or more hits in 10 games about a quarter of the time.

• Cherry-picked windows. Last 5, last 10, last 20, home, away. Slice the logs enough ways and almost any prop looks like a trend.

• Changing roles. A trend built before a teammate’s injury or a depth chart change may not describe the player today.

• The book sees it too. Game logs are public. Sportsbooks adjust lines for obvious streaks, which is why so many great-looking trends come attached to bad prices.

How the Trends Model Works

Finding a streak is step one. Proving it’s worth a bet is the rest of the job.

1. Compare every window to the price

The model checks a player’s results over several lookback windows, from the last few games out to longer stretches, and compares each hit rate to the implied probability of the odds. One hot window isn’t enough. A play needs support across multiple windows.

2. Only count games that count

A game a player didn’t play shouldn’t count against their line. The model only uses games where the player actually took part: minutes on the court, trips to the plate, innings on the mound, time on the ice.

3. Check the projection

When a projection exists for the player, the model turns it into a win probability for the line and weighs it against the hit rates. If the projection disagrees with the trend, the play shrinks or disappears.

4. Lean on the weakest number

Instead of the best-looking hit rate, the model builds from the most conservative estimate it has, then pulls that estimate toward the market’s price before suggesting a stake. That’s why Win % and EV on Trends plays often look modest. They’re meant to.

5. Skip the swingy markets

Props driven by rare events, like anytime touchdowns, goals, or blocks and steals, don’t produce trustworthy hit rates. The model leaves them out, along with extreme prices in some sports.

6. Spread the exposure

Trends plays are limited to one per game and one per player, so a single matchup can’t dominate your card.

A Worked Example (illustrative numbers)

Take a receptions prop: Over 5.5 receptions at -120, which implies 54.5%.

Every window beats the price, and so does the projection. A streak chaser anchors on the 100% or the 80%. At 80%, this bet would look like a +47% edge.

The Trends model anchors on the weakest number, about 58%, and adjusts from there. At 58%, the EV at -120 is roughly +6%. That’s still a real edge, just a far more honest one.

Now move the price to -200, or 66.7% implied. The last 15 games only tie the price, and the projection falls well short. There’s no play. Same player, same logs, different price.

Reading a Trends Play

Open a Trends play in Optimal+ and the evidence is laid out:

• The projection, when one is available

• Each window’s record, like “Last 10 70.0% (7-3) (impl -233)”. The impl figure is that hit rate converted to odds. If your sportsbook pays better than that, the window beats the price

• A chart of recent games in the app, showing each result against the line

• Win %, EV, and Units, all built from the conservative estimate

• Other sportsbooks’ prices on the same line, so you can take the best one

How to Use Trends Plays Well

1. Check the news. Hit rates look backward. Confirm the player’s role, health, and playing time before you bet.

2. Shop the line. If another book has the same line at a better price, take it. A better price makes every trend stronger.

3. Watch for correlation. Two overs from the same offense tend to win or lose together. Treat stacked props as bigger exposure.

4. Let units size the bet. Trends stakes are conservative on purpose. Don’t override them because a streak looks hot.

5. Pair it with the market. Trends reads player history. The Optimal EV and Sharp Books models read the betting market. When different kinds of evidence point the same way, you’re on firmer ground.

Trends vs. Chasing Streaks

Key Takeaways

• A hit rate only means something next to the implied probability of the price

• Small samples and cherry-picked windows make raw trends unreliable

• The Trends model requires support across multiple windows, checks projections, and builds from the most conservative estimate

• Win %, EV, and units on Trends plays are intentionally modest

• Check the news and shop the line before betting any trend

See today’s Trends plays, with every window and price laid out, in Optimal+.