Sting Coverage
College football ratings, team lineups, and fantasy games built from player stats.
I designed and engineered this solo, including the product and data model.
Ratings compare players within the same position.
Pick an offense or defense before kickoff and compare weekly ratings.
Every player gets a 0 to 10 rating, with the underlying stats one click away. Credit Rating measures a player's percentile within a position. Kickers compete with kickers. Team pages put the roster in formation, so the comparison stays tied to the player's role.
I built the Credit model to estimate what each player contributes. Expected points, player agency, and event counts determine Credit. A sack counts once, even when the source also records a tackle for loss and a tackle.
Sting covers twelve conferences from 2019 through 2026. Career pages follow a player's ratings and creature crests across seasons. A later qualifying season can earn a different crest; earlier achievements keep their original evidence.
Weekly Fantasy turns the same ratings into a game: pick five players before kickoff, then compare their weekly performance on the public leaderboard. The daily Perfect Season game and weekly Instagram and Facebook selections offer more ways to follow the players.
I run the valuation offline and publish finished JSON. The browser assembles formations and player pages from those results.
A page can show a team's ratings without recalculating a season. Model changes require rebuilding the published data, which keeps the valuation in one testable project.