Betinvest ads

Our latest weekly roundup is here! Dive into key iGaming market movements, regulatory updates, and emerging industry signals.

F1 betting interest follows the calendar: race weekends drive spikes, while the off-season creates visible drops. That gap matters. For operators, it highlights the role of virtual motorsport and simulator-based formats in keeping engagement active when live Formula 1 is off the track. The chart shows the pattern clearly: demand rises with the season, then falls back between key moments — creating space for always-on alternatives. Next week, we’ll publish a more detailed piece on F1 betting trends, seasonality, and what this means for iGaming product strategy, so stay tuned.

In this quick interview, Oleksandr Zorin, Betinvest’s Head of Product, explains how we build fast, reliable content integration and how we keep quality and operational control high from request to go live.

🏈 Ready for a football betting format that doesn’t wait for Sunday? Dive into our latest article on eAmerican Football in the U.S. See what makes it work year-round →

The Betinvest team had a great week at ICE Barcelona. Across three busy days, the event brought together the people and ideas shaping what’s next in iGaming — and gave us the chance to reconnect, meet new partners, and have the conversations that actually move projects forward. In this short highlights, you’ll catch a glimpse of the atmosphere, and a few of our favourite moments from Spain.

🚀 We’re hiring a Data Scientist (Probabilistic Modeling Specialist) Betinvest is expanding its analytics team and looking for a Data Scientist focused on probabilistic modeling. This role is centered on mathematics, probability, and betting logic, not generic ML pipelines. We build AI-driven products for fast and simulated sports (PS5-based events with live players) across football, American football, cricket, and table tennis. You’ll model pre-match and live in-play probabilities, score distributions, and fair odds (before margin) using historical head-to-head data and live data streams. Calibrate probabilities, track bias, and run backtesting with betting-specific metrics like ROI, yield, and calibration error. Collaborate with ML engineers to move models into production. 🔗 Learn more and apply: https://lnkd.in/drPi97gq 📩 Or send your CV to our HR Officer, Yuliana Veresiuk: [email protected]