Baseline
A tennis fan companion that delivers storyline-driven match previews with stat cards, head-to-head data, and surface/form context for every ATP and WTA match.
Casual tennis fans following the ATP and WTA tours who want richer context than a scoreline
- Pre-match stat cards with serve speed, break-point rates, and surface splits
- Head-to-head history with a short narrative summary
- Form tracker showing last 10 matches and surface-specific streaks
- Personalized daily feed for followed players including lesser-known names
Rising tennis search interest and active prediction-market trading on ATP matches show fans want deeper data before matches and casual wagers.
Tennis apps exist and rank (ScoreGO, ATP WTA Live, Tennisnet FAN) on Play Store, and ATP prediction markets on Polymarket/Kalshi show fans actively engaging with match data; however the 'storyline preview' niche is largely already served by generalist score apps.ATP Tour Odds & Prediction Markets 2026 | Polymarket ↗Tennis Fan - ATP / WTA - Apps on Google Play ↗
TennisData.app explicitly offers 'ATP & WTA match predictions powered by player form, H2H history, serve stats and rankings' and ScoreGO bundles stats + predictions + community — direct overlap with the proposed companion.ATP & WTA Tennis Predictions With Stats | TennisDataApp ↗ScoreGO: Tennis Stats & Score - Apps on Google Play ↗Top apps for live tennis scores and serve statistics ↗
Prediction-market volume (PredictMarketCap reports large aggregate volumes on tennis events) and paid tennis subscriptions (Tennis Channel/ATP+) show some willingness to pay, but ad-supported score apps dominate and a casual fan is unlikely to pay $5+/mo for previews.ATP Odds | Polymarket & Kalshi ↗Stats Perform & WTA | Official Women's Tennis Data & Live Streaming ↗
ATP/WTA run year-round with four Grand Slams, Masters 1000s, and sustained global search interest, giving evergreen demand independent of any single season.Tennis Statistics & Player Data - TennisStats.com ↗
Stats Perform holds exclusive WTA data rights and ATP licenses its official feed, so third-party stat-card generation faces licensing friction and cost; a LLM-narrated preview layer is easy to build but reliable real-time data ingestion is the hard part.Stats Perform & WTA | Official Women's Tennis Data & Live Streaming ↗