Binary Prop Betting Guide | Anytime TD & Home Run Yes/No Strategy

7 min readCore lessonDumbMoneyPicks ResearchUpdated Feb 16, 2026

Definition

Binary Props Are Different: Anytime TD & HR Yes/No in sports betting binary (yes/no) props require probability-first thinking, not volume/rate thinking. Learn the key differences.

Think of it this way

Like predicting whether it will thunder today vs how many inches of rain will fall. Thunder is binary — it either happens or it doesn't. Rain inches are continuous. Different prediction problems require different approaches.

Binary Props Are Different: Anytime TD & HR Yes/No

Anytime touchdowns and home run yes/no props look simple. They're not. They require a completely different analytical framework than volume props.

Volume Props vs Binary Props

Volume PropsBinary Props
ExamplePoints over 24.5Anytime TD Yes
DistributionRoughly normalBernoulli (yes/no)
Key metricPer-minute/per-snap ratesEvent probability
VarianceModerateVery high
Thinking"How much will they accumulate?""What's the probability this happens?"

Anytime Touchdown: What Actually Matters

The stats that drive TDs are NOT what most people think:

What Matters Most

  • Red zone targets/carries — This is the #1 factor. No red zone = no TD.
  • Goal-line rush share — Who gets the ball inside the 5?
  • Red zone snap percentage — Does this player stay on the field when the team is close?

What Matters Less

  • Total yards (a 120-yard game can have 0 TDs)
  • Targets/receptions (volume without red zone = no TD)
  • "Hot streaks" (TDs don't streak — they're too random)

What Doesn't Matter

  • "He's due" (gambler's fallacy)
  • Season-long TD total (doesn't predict single-game probability)
  • "Matchup" in the traditional sense (unless it's specifically red zone defense)

Rule Clarity: Anytime TD = rushing or receiving touchdown ONLY for non-QBs. QB passing TDs do NOT count as anytime TDs. QBs must score on a rush or reception (rare).

Home Run Yes/No: What Actually Matters

What Matters Most

  • ISO (Isolated Power) — SLG minus BA. Measures extra-base hit ability.
  • Fly ball rate — Ground balls don't leave the yard. Look for 35%+ FB rate.
  • Park factor — Same hitter has dramatically different HR rates at Coors vs Oracle Park.

What Matters Less

  • Batting average (contact hitters rarely homer)
  • Total bases average (includes singles and doubles)
  • Recent hot streak (HR/game is very noisy)

What Doesn't Matter

  • "He homered yesterday" (actually slightly negative predictor due to regression)
  • "He's due for one" (classic gambler's fallacy)
  • Overall team offense quality (HRs are individual events)

Sizing Binary Props

Because binary outcomes are inherently high-variance:

  • Standard unit size for volume props: 1-2 units
  • Recommended for binary props: 0.5 units maximum
  • Required edge threshold: Higher (8%+ EV vs 3%+ for core props)

A player with a 35% chance of scoring a TD will go scoreless in 65% of games. Even if you correctly identify value, you'll lose most individual bets.

Common Mistakes

  1. "He scores every game" — Even the best TD scorers go scoreless 60%+ of the time
  2. Hot hand fallacy — TDs don't predict TDs. The base rate resets each game.
  3. Confusing volume with scoring — A WR with 12 targets and 0 TDs happens regularly
  4. QBs and anytime TDs — Passing TDs don't count! Only rushing/receiving.

How DMP Helps

DMP shows red zone usage metrics, ISO power, and fly ball rates to help you evaluate binary props with the right data — not gut feeling.


Binary props aren't bad bets. They're different bets. Use probability-first thinking, size small, and only bet when your edge is large.

How DMP uses this

DMP surfaces the metrics that actually matter for binary props: red zone usage for TDs, ISO and fly ball rate for HRs. We don't confuse volume stats with scoring probability.

Common mistake

Betting anytime TD on a WR because he had 10 targets last game. Targets ≠ TDs. Red zone targets and goal-line opportunities are what drive scoring.

After this lesson

You evaluate binary props using probability-first thinking and the correct underlying metrics, not volume stats.

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