With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time
With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time
Welcome to Sportstensor, where they blend advanced technology with sports analytics. They’re at the forefront of developing the most accurate decentralized sports prediction algorithms, driven by the Bittensor network. Their subnet addresses the challenges of sourcing high-quality data, analyzing complex datasets, and accessing advanced machine learning models.
While traditionally, the most accurate sports prediction models have been proprietary and isolated, they’re reshaping the field through the collaborative strength of decentralization. Sportstensor’s mission is clear and ambitious: to create the most comprehensive and accurate predictive models for major sports leagues. This effort goes beyond just making predictions; it aims to deliver profound and precise insights for every query, whether from dedicated fans, strategic coaches, or driven teams.
Welcome to Sportstensor, where they blend advanced technology with sports analytics. They’re at the forefront of developing the most accurate decentralized sports prediction algorithms, driven by the Bittensor network. Their subnet addresses the challenges of sourcing high-quality data, analyzing complex datasets, and accessing advanced machine learning models.
While traditionally, the most accurate sports prediction models have been proprietary and isolated, they’re reshaping the field through the collaborative strength of decentralization. Sportstensor’s mission is clear and ambitious: to create the most comprehensive and accurate predictive models for major sports leagues. This effort goes beyond just making predictions; it aims to deliver profound and precise insights for every query, whether from dedicated fans, strategic coaches, or driven teams.
Sportstensor is driven by the belief that combining advanced AI with sports can revolutionize the entire sports ecosystem. Their vision is grounded in several core principles:
Improving Decision-Making: Sportstensor provides teams, coaches, and players with highly accurate predictive models, enabling them to make informed decisions that can greatly influence performance and strategy.
Enhancing Fan Engagement: Their technology lets fans delve deeper into their favorite sports, offering insights that enrich the viewing experience and ignite greater passion for the game, transforming how sports are enjoyed and understood.
Democratizing Analytics: While sophisticated analytics tools have historically been reserved for high-budget teams, Sportstensor’s decentralized approach breaks down these barriers. This makes top-tier predictions accessible to a wider audience, including smaller teams and individual sports professionals.
Creating Economic Opportunities: By challenging the dominance of major players in the sports analytics industry, Sportstensor’s decentralized model opens new opportunities for talented individuals to contribute to and benefit from the sports analytics revolution, fostering a more diverse and innovative field.
As the sports world adopts data-driven strategies, Sportstensor leads the way by providing unparalleled access to advanced, decentralized AI. They are making sports analytics accessible not just to major leagues, but to smaller teams, individual analysts, and enthusiastic fans.
Currently, the platform includes Major League Soccer (MLS) and Major League Baseball (MLB), with plans to expand to the NFL, NBA, and NHL. Their analytics leverage extensive historical data and advanced AI models for high accuracy. However, sports are inherently unpredictable, so while they aim for the highest precision, some variability is always present. Their platform is user-friendly and designed for everyone. Whether you’re a coach or a sports enthusiast, you’ll find it easy to use and beneficial.
Open Source Model Development
Sportstensor develops and refines base models for various sports, available on HuggingFace for miners to enhance.
Advanced Sports Analytics
Provides strategic planning and performance analysis with predictions based on both historical and real-time data.
Performance-Based Incentives
Offers rewards for sourcing comprehensive datasets and developing high-performance predictive models.
User-Friendly Integration
Features an intuitive front-end app for easy access to miner predictions.
Scalable Improvement
Includes a dashboard for monitoring miner rankings and accuracy, encouraging continuous model enhancement.
Miner and Validator Roles:
Miner
Receives specific requests from Validators, analyzes relevant sports data, predicts outcomes, and submits predictions for validation.
Validator
Collects and verifies predictions from Miners against actual match results, logging outcomes for auditing and system improvement.
Sportstensor is driven by the belief that combining advanced AI with sports can revolutionize the entire sports ecosystem. Their vision is grounded in several core principles:
Improving Decision-Making: Sportstensor provides teams, coaches, and players with highly accurate predictive models, enabling them to make informed decisions that can greatly influence performance and strategy.
Enhancing Fan Engagement: Their technology lets fans delve deeper into their favorite sports, offering insights that enrich the viewing experience and ignite greater passion for the game, transforming how sports are enjoyed and understood.
Democratizing Analytics: While sophisticated analytics tools have historically been reserved for high-budget teams, Sportstensor’s decentralized approach breaks down these barriers. This makes top-tier predictions accessible to a wider audience, including smaller teams and individual sports professionals.
Creating Economic Opportunities: By challenging the dominance of major players in the sports analytics industry, Sportstensor’s decentralized model opens new opportunities for talented individuals to contribute to and benefit from the sports analytics revolution, fostering a more diverse and innovative field.
As the sports world adopts data-driven strategies, Sportstensor leads the way by providing unparalleled access to advanced, decentralized AI. They are making sports analytics accessible not just to major leagues, but to smaller teams, individual analysts, and enthusiastic fans.
Currently, the platform includes Major League Soccer (MLS) and Major League Baseball (MLB), with plans to expand to the NFL, NBA, and NHL. Their analytics leverage extensive historical data and advanced AI models for high accuracy. However, sports are inherently unpredictable, so while they aim for the highest precision, some variability is always present. Their platform is user-friendly and designed for everyone. Whether you’re a coach or a sports enthusiast, you’ll find it easy to use and beneficial.
Open Source Model Development
Sportstensor develops and refines base models for various sports, available on HuggingFace for miners to enhance.
Advanced Sports Analytics
Provides strategic planning and performance analysis with predictions based on both historical and real-time data.
Performance-Based Incentives
Offers rewards for sourcing comprehensive datasets and developing high-performance predictive models.
User-Friendly Integration
Features an intuitive front-end app for easy access to miner predictions.
Scalable Improvement
Includes a dashboard for monitoring miner rankings and accuracy, encouraging continuous model enhancement.
Miner and Validator Roles:
Miner
Receives specific requests from Validators, analyzes relevant sports data, predicts outcomes, and submits predictions for validation.
Validator
Collects and verifies predictions from Miners against actual match results, logging outcomes for auditing and system improvement.
Phase 1: Foundation (Q3 2024)
Phase 2: Expansion (Q4 2024)
Phase 3: Refinement (Q1 2025)
Phase 1: Foundation (Q3 2024)
Phase 2: Expansion (Q4 2024)
Phase 3: Refinement (Q1 2025)
Novelty Search is great, but for most investors trying to understand Bittensor, the technical depth is a wall, not a bridge. If we’re going to attract investment into this ecosystem then we need more people to understand it! That’s why Siam Kidd and Mark Creaser from DSV Fund have launched Revenue Search, where they ask the simple questions that investors want to know the answers to.
Recorded in September 2025, Revenue Search digs into Subnet 41’s Sportstensor with Leo and Stephen (Neuromancer). Hosted by Mark and Siam, this episode unpacks how their new mechanism rewards only winning, conviction-backed flow routed to prediction markets. They lay out a Polymarket partnership where Sportstensor builds a layer on top and charges a 1% fee on traded volume, using those fees to buy back alpha and, if needed, burn it. The incentive design is anti dilutive – miners never receive more in alpha than the fees generated by their qualified volume. The team cites real results from last year’s models, plus how they previously pushed roughly half a million dollars of volume to Polymarket. Expect plain talk on guard rails, why tiny or reckless bets do not count, and why opening mining to skilled traders beyond Bittensor matters. It is a candid strategy session on aligning incentives with truth seeking markets.
A special thanks to Mark Jeffrey for his amazing Hash Rate series! In this series, he provides valuable insights into Bittensor Subnets and the world of decentralized AI. Be sure to check out the full series on his YouTube channel for more expert analysis and deep dives.
Recorded October 2025, Mark Jeffrey interviews Leo Lucian about SportsTensor (BitTensor Subnet 41) and its new product, Almanac—a prediction-market layer on top of Polymarket. Miners (and high-signal traders) submit sports predictions (NBA/NFL/MLB/EPL/MLS), SportsTensor aggregates them into a meta-model, and trades with its own bankroll on Polymarket; users can also route their own bets through Almanac. Almanac charges a 1% fee on winning trades, but replaces/augments that with rewards: non-miners earn USDC from a dedicated “user pool,” while registered miners earn Subnet-41 alpha—weighted toward consistent, provably edgeful performance (not one-offs). The team partnered with Polymarket after doing ~$500k total volume; Polymarket values their “winning volume” because it sharpens odds and truth-discovery. SportsTensor can propose/create new Polymarket markets, plans to onboard other BitTensor prediction subnets (e.g., crypto, weather) as miners, and is exploring a hedge fund that trades on Almanac’s aggregated plus-EV signals, with surplus fees/profits used to buy back alpha. They’re also building computer-vision pipelines (frame-level player/ball/ref positions) to enrich miner features. On the halvening, Leo expects uneven impact across subnets and argues it will push teams to build real value/holding incentives and tune emissions; SportsTensor’s low GPU costs and fee-backed rewards help. Team: 5 people, lean and product-focused; fast follow into eSports and non-sports markets; find them at @SportsTensor, @almanacmarket, and @LCNXYZ.
So does that mean @almanac_market is a prediction market in a prediction market?
Prediction markets are fundamentally decentralized intelligence exchanges.
Price acts as a signal of coordination between the beliefs and information from all participants of the market.
Every subnet is a market. Every emission is a price signal. $TAO stakers don't vote, they…
Things I'm excited about this week
- QT just ended
- Bittensor halving in a week and a half
- Weekly prediction notional volume hit ATH of $3.6BN with November as the best performing month
- Cutthroat competition between Polymarket, Kalshi, and Opinion
- @Kalshi announced…
Turns out integrating two blockchains and an enterprise-level API pipeline is a lot of work. @almanac_market $TAO
http://x.com/i/article/1993392355756343296
Things I learned from observing top prediction market performers
- Many use bonding strategy — lock in events with near-certain probability (90-100%) with large sum of capital. Earns 4% yearly interest + 1-10% ROI consistently & compound over time
- A few regularly predict BTC…
We are excited to announce our partnership with @zeussubnet to bring state-of-the-art weather prediction models to @almanac_market.
In today’s data-driven economy, forecasting accuracy is ultimately measured by profitability. We will work closely with Zeus to translate their…
