Tennis Calculator: Quickly Convert Scores, Percentages & Statistics

Tennis Score Calculator: Set-by-Set, Tiebreak & Match Predictor

Set-by-set scoring: Enter points/games to compute current set score, remaining games needed, and final match score possibilities.
Tiebreak handling: Calculates tiebreak scores, identifies who serves next in tiebreak points, and computes minimum points needed to win a tiebreak.
Match prediction: Uses current score, player serve, and simple probability inputs (serve win % for each player) to estimate match-winning probabilities and likely scorelines.

Match format (best of 3 or best of 5)
Current set scores (games per set) and current game points (0–40, advantage)
Who is serving now and who served first in the match
Optional: point-level probabilities — server’s point win % and returner’s point win % (or separate probabilities per player)

Convert point scores (0, 15, 30, 40, A) into point counts for simulation.
Determine service order by tracking initial server and alternation each game; apply tiebreak serve rules (first server serves once, then alternates two serves each).
Compute probability of winning a game from point-win probabilities using Markov chain or closed-form formulas.
Simulate set win probabilities including tiebreak scenarios (e.g., 6–6 triggers tiebreak in most formats).
Aggregate per-set probabilities to get overall match win chance; output likely final score distributions.

Current score breakdown and who needs what to win next game/set/match.
Probability of each player winning the current game, current set, and the match (percentages).
Predicted most likely final scorelines (e.g., 6–4, 3–6, 7–5) with associated probabilities.
Tiebreak breakdown: point-by-point serve order, win probabilities by point, minimum points required.
Visuals: set progression chart and win-probability timeline (if implemented in UI).

Live-match analytics for commentators and fans.
Coaching: assess match situations and strategic adjustments (e.g., serve aggressiveness).
Betting or fantasy tennis: estimate live odds based on in-match performance.
Broadcast graphics: live probability overlays and expected scorelines.

Accuracy depends on input point-win probabilities; simple models ignore momentum, fatigue, and surface differences.
Most calculators assume independence between points; real matches may have correlated points.
Formats vary (no-ad scoring, deciding super tiebreaks, final-set no tiebreak) — ensure format matches calculator settings.

Inputs: Player A serve win% = 65%, Player B serve win% = 58%, current score — Set1: 6–4 (A), Set2: 3–4 (B), Game score: 30–30, B serving.
Outputs: Game win% (B) ≈ 58% converted to point-game probability → Game win% ≈ 0.68; Set win% (B) ≈ 0.72 given current games; Match win% (A) ≈ 0.40, (B) ≈ 0.60; Most likely final: A 6–4, B 7–5.

If you want, I can produce a simple web-ready algorithm or code (Python) implementing these calculations.