








StatKing Web is the desktop counterpart of the player prop analytics product, built for bettors who research across markets before locking in plays. The interface centres on a player props table comparing statistics and odds across sportsbooks, with additional states covering every combination of active filters and list conditions.
The design turns filtering into the primary research tool: an active-filter bar with a dedicated +EV mode, granular controls for sports, markets, and sportsbooks, and result customisation that adapts the table to each user's betting strategy. Prop detail pages expose in-depth player statistics behind every line. The web and iOS products share one design system, so components, data visualisation logic, and brand styling stay consistent across platforms.
Overview for a sports analytics platform: a game hit-rate chart, sortable Over/Under alternative lines, and an opposing-team rank table.

Player prop cards for picks, comparing odds across four sportsbooks per card with color-coded hit-rate bars for L5, L10, L20, and H2H. Top Picks sorts by Overall with pagination.

States for the props once markets, games, players, and odds-range filters combine. An empty state, "Not enough props? Try adjusting the filters," guides bettors back instead of a dead end.

Filter sidebar covering markets, games, players, hit rate, and odds range for player props research. The same market and player controls extend to StatKing iOS App on mobile.


Named presets such as "Winning Formula" and "Edge Filters" save odds range, hit-rate thresholds, and +EV toggles per sport. Game- and player-specific conditions reset automatically once games end.



Per-user display settings for injuries, opposing-team rank, implied probability, and hit-rate stats on every prop card. Bettors also choose which of the linked sportsbooks feed the odds





Detail view for a single player prop: alternative lines, a game-by-game hit chart, and supporting stats like minutes and field goals.



Supporting screens for the product: a player name search across props, and a cookie-consent flow with granular Essential, Analytics, Personalization, and Advertising controls.


If dense player-prop data across sportsbooks just means more filters, bettors stop using it. Named presets and color-coded hit-rate logic turn that density into a daily habit. Ask us how the filtering layer is built.