🎛️ Build smarter slips

Odd Builder & Calculator

Design your perfect multi-leg ticket with precision. Set target odd, min win %, max fair odds, and guardrails that keep variance in check. No more guesswork—just disciplined edges.

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Target Odd • Min/Max Legs Min Probability per Leg Max Fair Odds per Leg League & Market Filters

Quick Calculator

Use this to explore how constraints shape a safer, sharper ticket. Later, bind this to your Django/HTMX endpoint for real picks.

Target Odd
Min Legs
Max Legs
Min Probability per Leg (%)
65%
Max Fair Odds per Leg
Max Correlation
Live Summary
Suggested Legs
2–3
Projected Win %
Combined Odds
Stake (1% Bankroll)
Tip: Harsher filters → higher confidence but fewer qualifying legs. Relax carefully.
Candidate Legs (demo)
Home vs Away1X @ 1.40
p≈72%Fair 1.38Premier
🥅
Team C vs Team DOver 1.5 @ 1.48
p≈68%Fair 1.46La Liga
🛡️
Team E vs Team FDC 1X @ 1.55
p≈61%Fair 1.52Serie A
Chosen Legs
0
Product of Odds
Independence Win %
Meets Target?

What is the Odd Builder?

It’s your precision cockpit for multi-leg slips. Instead of stacking random favorites, you define constraints—target odd, min per-leg probability, fair-odds cap, min/max legs, permissible leagues/markets—and let disciplined logic drive the build.

Why it matters

How to use it (Step-by-step)

  1. Set the frame: Choose Target Odd (e.g., 2.0), Min/Max Legs (2–6), Min p% (≥60%), and Max Fair (≤1.60).
  2. Filter sources: Allow only stable markets (1X2/DC/Over1.5) and trusted leagues for consistency.
  3. Pick with discipline: Add legs that meet all constraints; avoid correlated combos unless intentionally modeled.
  4. Price sanity: If book ≪ fair, reduce stake or reject; if book ≥ fair, consider green-lighting.
  5. Stake smart: 0.5–2% of bankroll per ticket; log date/odds/stake/result.
Pro tip: Use Max Correlation to avoid doubling risk on tightly linked markets in one match.

Preferences & Constraints

Targets & Legs
  • Target Odd: Combined product of legs, e.g., 2.0 (growth) or 3.0 (aggressive).
  • Min Legs / Max Legs: Control variance and liquidity; most users do 2–4 legs.
Probability & Price
  • Min Probability per Leg: e.g., ≥60–70% to keep slips realistic.
  • Max Fair Odds per Leg: e.g., ≤1.60 to avoid long-tail volatility.
  • Value Check: Favor book ≥ fair; avoid paying above fair.
Correlation & Markets
  • Max Correlation: Low/Med/High setting to manage overlap between legs.
  • Preferred Markets: 1X2, Double Chance, Over/Under 1.5–2.5, Asian lines with tight spreads.
  • Avoid: Exotic props with low limits or noisy data unless priced fairly.
League Policy
  • Whitelist: Mature leagues with reliable liquidity and data.
  • Blacklist: Erratic leagues, youth friendlies, late-info fixtures.
Voids & Status Codes
  • NS — Not Started; normal.
  • TBD — To Be Decided; often void or replaced.
  • PST — Postponed; typically void.
  • FT — Full Time; settlement state.

Example Build

Constraints
  • Target Odd: 2.0
  • Legs: 2–3
  • Min p: ≥65%
  • Max Fair per Leg: ≤1.60
Ticket
  • 1X — 1.40 (p≈72%)
  • Over 1.5 — 1.48 (p≈68%)

Combined ≈ 2.07 • Independence p≈49% (before correlation control)

Reminder: Correlation reduces true win %. Avoid stacking legs that hinge on the exact same game narrative unless modeled.

Why winners love it

FAQ

Can I chase higher targets like 4.0–5.0?

You can, but expect fewer qualifying legs and higher variance. Start with 2.0, build consistency, then scale carefully.

How do you estimate win %?

Our models produce per-leg probabilities and fair odds. The quick calculator assumes independence; server-side we adjust for correlation and league rules.

What stake size is best?

Most members use 0.5–2% of bankroll. The goal is to protect longevity while compounding edges.

Responsible Use

Only stake what you can afford to lose. Treat the builder as an educational tool to enforce rules and remove emotion. Not financial advice.

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