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%.
– 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)
- Pick a preset that matches tour and surface.
- Enter or confirm SGW% and RGW% for both players (surface-specific if possible).
- Set conditions: Altitude/Indoor and Wind; adjust Injury if relevant.
- Optional: Add second-serve numbers, conversion nudge, and fatigue if you have solid intel.
- Select your first-set total line (for the Total tab).
- 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.
- 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.


