Read the full player range
See how often a player lands below, around or well above the headline projection.
A Fantasy workspace built on our player-level points, rebounds, assists and three-pointer distributions, not a flat projection list.
Designed for both a focused web workspace and your connected AI assistant.
Two players can have the same expected score and still be very different Fantasy choices. One may land near that number most of the time. The other may carry a greater chance of both a poor result and a week-winning result. Our proprietary models estimate those ranges, so a roster tool can weigh the trade-offs that a single number hides.
See how often a player lands below, around or well above the headline projection.
Measure whether a combination is balanced, fragile or built for tournament upside.
Turn model distributions into clear trade-offs instead of a black-box lineup.
The product is being designed as one private Fantasy service with two interfaces. Use the visual tools on Predixsport, or connect Predixsport through MCP and ask a supported AI assistant to inspect the same model outputs in conversation.
Review distributions, compare roster plans and see the reasoning behind each recommendation.
Ask follow-up questions in plain language while your assistant calls Predixsport tools securely.
The NBA Fantasy workspace and its MCP tools are both in development. The live Euroleague Turn Card already demonstrates this shared-account approach.
Sign in with your Predixsport account and we will email you when this product is ready to try. No roster or gameplay data is collected here.
A free account keeps the launch list clean and gives us a real address to write to. Nothing else is collected here.
Sign in with Google to get notified Handled under our Privacy Policy.The Euroleague Fantasy Turn Card already turns player distributions and the Round calendar into opening-lineup and between-Turn decisions.
Explore Euroleague FantasyPredixsport publishes probabilistic forecasts for NBA, football, and tennis matches using calibrated machine-learning models.
The data is intended for fans, analysts, journalists, and researchers interested in sports modeling. See our methodology and model transparency pages for train/test splits, calibration curves, error metrics, and known model limitations.
No forecast is a guarantee. Sports events are inherently uncertain, and even well-calibrated probabilities will be wrong on individual matches. Our published calibration data shows the actual long-run error rates. Bookmaker odds reflect equally sophisticated models, and differences are typically small and noisy.
Liability and personal-use note. Predixsport does not provide financial, investment, or betting advice. Any decision to act on these forecasts (including but not limited to placing bets or wagers of any kind) is entirely your own and made at your own risk. Predixsport.com, its owners, employees, contributors, and affiliates accept no liability for any losses or damages arising from the use of, or reliance on, the information published on this website.
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