Tennis First Set free betting model calculator

First-Set Winner & Total Model
Prices first-set ML and first-set total using SGW/RGW, surface, and optional matchup nudges. Fast set-level Monte Carlo.
Inputs
Loads baseline SGW/RGW/volatility and sets the surface. You can edit after applying.
Core Performance (by surface)
Context & Nudges
Advanced nudges (optional)
Negative favors A (fresher A), positive favors B.
Scoped styles
Outputs

P(A wins 1st set)

No-vig fair probability.

P(B wins 1st set)

1 − P(A).

Fair Odds (A 1st set ML)

American odds from probability.

Fair Odds (B 1st set ML)

American odds from probability.
Notes on the model
– First-set is simulated directly using hold probabilities derived from SGW (serve) and opponent RGW (return), adjusted for surface, altitude/indoor, wind, injury, fatigue, second-serve edges, and a small conversion nudge.
– Tiebreak probability is linked to hold levels; Over probabilities at 9.5/10.5 react strongly to fast vs slow conditions.
– If you only have overall SGW/RGW, start with a preset and nudge ±1–2%.

First-Set Winner & Total Model — User Guide

What this tool does

  • First-set winner: Estimates P(A wins 1st set) and fair no-vig odds for A and B.
  • First-set total: Prices Over/Under a chosen first-set games line (e.g., 9.5, 10.5) with fair odds.
  • Uses surface-adjusted Service Games Won% (SGW) and Return Games Won% (RGW) plus conditions and optional matchup nudges.
  • Runs fast set-level Monte Carlo to account for tiebreaks and volatility.

Key inputs (what to enter)

  • Preset: Choose ATP/WTA and surface to load baseline SGW/RGW and volatility.
  • Surface: Hard, Clay, Grass, Indoor (affects hold rates and tiebreak likelihood).
  • SGW%: Service Games Won% by surface for each player (last 12–24 months preferred).
  • RGW%: Return Games Won% by surface for each player.
  • Volatility proxy: Aces + double-faults per service game (higher = swingier sets).
  • Conditions:
    • Altitude/Indoor boost: Faster conditions slightly increase holds.
    • Wind: Slows serves and reduces holds; shrinks tiebreak rates.
    • Injury nudge: Small adjustment toward the fitter player.
  • Advanced (optional, use when confident):
    • Second-serve edges: A’s 2nd-serve points won on serve vs B’s 2nd-serve return vs 2nd (and vice versa).
    • Conversion nudge: Slight bias for returners or servers on big points.
    • Fatigue/Travel: Negative favors A (fresher A), positive favors B (fresher B).
  • First-set total line: Choose 8.5, 9.5, 10.5, or 11.5.
  • Book prices (optional): Enter your sportsbook odds to see value flags.

How to use it (quick workflow)

  1. Pick a preset that matches tour and surface.
  2. Enter or confirm SGW% and RGW% for both players (surface-specific if possible).
  3. Set conditions: Altitude/Indoor and Wind; adjust Injury if relevant.
  4. Optional: Add second-serve numbers, conversion nudge, and fatigue if you have solid intel.
  5. Select your first-set total line (for the Total tab).
  6. Click Calculate. Review:
    • First-set winner tab: P(A), P(B), and fair odds.
    • First-set total tab: P(Over), P(Under), and fair odds.
  7. If you entered book prices, check the value badges (edge in probability points vs the book).

Interpreting outputs

  • P(A wins 1st set): Probability A takes the opening set given inputs and conditions.
  • Fair odds: No-vig American odds derived from those probabilities. Compare to book odds to judge value.
  • Totals: Over means total first-set games > line (e.g., Over 9.5 hits at 10–12 games; Under at 6–9 games).
  • Value badges: Show your edge in probability points (e.g., +3.2 pts means your fair probability is 3.2% higher than the book’s implied).

Best practices for inputs

  • Use surface-weighted SGW/RGW from the last 12–24 months. If only overall is available, start with a preset and nudge ±1–2%.
  • For second-serve stats, prefer recent surface data. If uncertain, leave advanced fields blank (the model is calibrated without them).
  • Wind matters: Moderate/Strong wind often lowers Over 9.5/10.5 probabilities several points.
  • Fatigue/travel: Keep adjustments modest unless you have strong evidence (e.g., back-to-back long matches, big timezone shift).

Typical scenarios and adjustments

  • Big server on fast court:
    • Altitude/Indoor: Slightly faster
    • Wind: Calm
    • Expect higher P(Over 9.5) and a favorite lean on 1st-set ML.
  • Return-oriented matchup on slow clay:
    • Lower Altitude/Indoor, consider Light/Moderate wind
    • Conversion nudge can be set to Favors returners (+)
    • Expect more 6–3/6–4 type sets (Under 10.5 increases).
  • One player looks fatigued:
    • Use Fatigue slider toward the other player (e.g., +0.02 favors B).
    • First-set edges can swing more than full-match edges due to short format.

FAQ

  • Do I need second-serve numbers? No—optional. Use them only when you’re confident; small nudges are appropriate.
  • What does Volatility do? Increases set-to-set randomness and shared swings; higher with big servers or choppy conditions.
  • How do tiebreaks affect totals? Higher holds increase tiebreak probability, raising Over 9.5 and especially Over 10.5/11.5.

Quality checks before betting

  • Cross-check your fair odds vs multiple books’ prices.
  • Sanity-check SGW/RGW against players’ typical surface profiles.
  • Try a sensitivity pass: tweak wind or fatigue slightly and see if your edge persists.

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