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of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time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of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time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.
It's time to change the odds.
📽️: @DankEngine13
What is a prediction market and why are we building @almanac_market ? Here's a quick explainer!
🎬 Edited by @Sebbbbeee
Miner Highlight: UID 42
- 5.44% ROI over 2,300 predictions
- Outperformed the market by 7.82%
- PnL: +29.5 units
- Rank 13 on our leaderboard
Incentivized collective sports intelligence by @sportstensor
https://dashboard.sportstensor.com/miner/42/5H3RoBj6NkFhmBxwNCDcaDtewMPrbZFxDYa4fFqzoPa1a52m
"This cost like 0.7 cents" — Head of AI on how we can be extremely cost efficient with our internal computer vision technology.
Very cool per pixel player detection going on with internal cv work at #sn41. No need for bounding boxes but the temporal smoothing of the labels is not great (jitter) on the eyes. This can be fixed with some lookback on previous frames. $tao #tao This cost like 0.7 cents…
Our editor likes the podcasts.
Who needs a 1.5 hour Revenue Search episode when @MarkCreaser beautifully explained what we're building on @Polymarket in 2 minutes.
🎬 Edited by @Sebbbbeee
