ATP
Men's Tennis
2020 to Jul 2026
Player ROI, surface splits, tournament trends, round history, and match replay pages.
Open ATP researchSports research terminal
A sports research platform built from historical betting markets, player and team splits, trend libraries, and archived matchup context across seven sports.
Research modules
Every sport keeps its own market details, but the user experience is standardized: leaderboards, sport-specific Trend Labs, profiles, archived matchup pages, definitions, and locked premium research teasers where needed.
Men's Tennis
2020 to Jul 2026
Player ROI, surface splits, tournament trends, round history, and match replay pages.
Open ATP researchWomen's Tennis
2020 to Jul 2026
Active player filters, surface leaderboards, tournament splits, and match history.
Open WTA researchBasketball
2019-20 to Apr 2026
Team dashboards, spread context, matchup pages, and separated market trend labs.
Open NBA researchHockey
2019-20 to Apr 2026
Moneyline, totals, puck line, push-aware records, and archived matchup context.
Open NHL researchFootball
2020 to Feb 2026
OddsPortal rebuild using regular season and playoff markets, with 2019/20 and preseason excluded.
Open NFL researchCollege Basketball
2019-20 to Mar 2026
Team pages, conference tiers, tournament context, and archived pregame replays.
Open NCAAB researchCollege Football
2019 to Dec 2025
Conference tiers, team profiles, moneyline trend history, and game research pages.
Open NCAAF researchResearch signal teasers
The homepage can show volume and historical performance while hiding exact definitions until users are inside the product.
250+ tracked bets
Player form, surface, and price context50+ tracked bets
Line-specific total history with push-aware records1,000+ tracked bets
Team tier, venue, market role, and price bucketResearch workflow
Open a module and scan the highest ROI teams or players, latest matchup replays, and visible Trend Lab rows.
Separate positive, fade, all, and market summary views. Use sample and category filters before judging a trend.
Trend detail pages show records, units, timelines, participants, and qualifying games whenever the ledger is available.
The goal is better research, preview writing, and data-backed storytelling, not blind tailing.
Methodology
The product should feel trustworthy because the math is visible, the markets are labeled, and trend language does not pretend historical ROI is a guarantee.
Rows are built from historical odds and final results, not manually entered claims.
ROI and units use a simple one-unit framework so sports can be compared without hiding stake assumptions.
Moneyline, ATS, totals, and puck-line data stay separated when the source supports them.
Edge, Fade, Watchlist, and Descriptive describe historical evidence strength. Watchlist is the limited-sample review label, not a pick.
Access model
Test checkout is wired through Stripe. The launch model keeps the public product understandable while reserving the deeper research layers for paid accounts.
Selected sport previews, homepage teasers, and educational methodology.
Full dashboards, player/team pages, standard Trend Lab access, and matchup replay pages.
Advanced trend history, deeper ledgers, saved research lists, and event preview tools.
Full sport modules are available to Plus and Premium members. Free visitors can review the homepage, pricing, methodology, legal pages, and selected public previews.