Stavka. Crowd‑sourced social sports betting platform.

Event lists, expert rankings, and ROI data reformat for small screens without dropping columns. Dense sports statistics stay aligned and readable in one-hand mobile layouts.

Mobile event lists keep date filters, favorites, and prediction counts within thumb reach. A country-and-league search plus bookmaker ratings help users find a match when browsing fails.

A persistent header keeps sport filters and the calendar available while users scroll long event lists. Switching dates or sports never requires returning to the top of the page.

Football, tennis, and other verticals get dedicated event pages with top events and league groupings. A subscription prompt lets users follow tournaments and get match information faster.

Beyond football, the same event structure covers tennis, hockey, MMA, volleyball, and esports – with live set scores and ATP tournament blocks. One component system scales across every sport vertical.

Head-to-head records, broadcast access, and popular bet distribution adapt to mobile match pages. The "what they bet on" block shows prediction counts per outcome before a user commits.

Each sport carries a custom cover system – basketball, hockey, MMA, tennis, volleyball, and esports get distinct court-inspired headers. Covers keep team names, start time, and broadcast actions readable over the artwork.

Users follow predictioners directly from the feed, with win/loss records and ROI shown in a hover card. Following builds a personal source list that feeds the home and predictions pages.

The creation modal pulls match context, counts the entry toward active contests, and caps the stake against the user's bank. A rationale field asks predictioners to explain their pick before publishing.

Rationale length, odds changes, closed matches, and exit confirmations each get a distinct state. Validation nudges – too short, okay, perfect – push predictioners toward fuller reasoning without blocking them.

The Statistics tab breaks down ROI, bank, profit, and win streaks per predictioner, plus a per-sport performance split. This profile shows 50.801% ROI across 82 predictions and a 4.47 max played odds.

A time filter — this month, 3 months, half a year, year, all time — reshapes the profit table and monthly performance graph. Hovering a bar surfaces exact profit and ROI for that month.

Profile, Predictions, Statistics, Contests, Articles, and Favorites sit behind one consistent tab bar. The Contests tab tracks placements and prize winnings; Articles surfaces followed content.

A topic-selection modal lets users pick a sport-themed cover — football, basketball, hockey, tennis, MMA, CS:GO — for their profile. Security, contacts, and sportsbook settings sit in adjacent tabs.

A calendar view maps contests across the month with a sport-count sidebar — 584 football, 327 basketball, 293 hockey entries. Users filter by date range and sport before entering a tournament.

Each contest page states the prize fund, competition type, and a full payout table down to the 100th place. This contest paid €10,000 for 1st place down to €200 for places 17–100.

The leaderboard ranks competitors by profit and ROI, with a separate section for entries below the minimum five-prediction threshold. A user's own row stays pinned and highlighted while scrolling.

Betting School organizes educational content into Start, BET Line, Sports, Strategies, Life hacks, Tools, and Mathematics. Each category runs its own article grid rather than one long feed.

Article pages keep a breadcrumb trail, hero image, and topic tags such as #FOOTBALL and #PREDICTION above the body text. The layout holds the same image hierarchy on desktop and mobile.

The rankings page filters by sport, time period, and tournament, showing profit and ROI per predictioner across the full user base. A user's own rank stays visible outside the top rows.