Subnet 44
Score Predict
Score Predict
Score Predict rewards accurate football match predictions by validating and scoring them against actual outcomes

SN44 : Score Vision
Subnet | Description | Category | Company |
---|---|---|---|
SN44 : Score Vision | Computer vision for football | Predictive systems | Score |
Score Predict is a Bittensor subnet focused on incentivizing precise football (soccer) match predictions. Within this subnet, miners create predictions, while validators evaluate these predictions against actual match results. Validators then assign on-chain weights to reward the accuracy of these predictions.
Their free, user-friendly platform enhances predictions by comparing algorithmic models with human-generated ones, introducing a novel prediction market. Funded by TAO emissions, it incentivizes all stakeholders to make honest predictions, drawing in more miners and validators. By making predictions, you’re part of a groundbreaking game that’s influencing real-world applications. Powered by Bittensor, your involvement helps build and expand the ecosystem.
Currently, the validators handle challenges for top global football leagues, including:
- Premier League
- Ligue 1
- Bundesliga
- Serie A
- Championship
- Primeira Liga
- Primera Division
- Campeonato Brasileiro Série A
- Eredivisie
The base miner model, trained on these leagues, makes predictions.
Score Predict App
This app functions as a miner by gathering predictions from fans based on intuition rather than machine learning. Users can sign up, make predictions for upcoming games, and earn TAO rewards through a points program with weekly giveaways of vouchers and tech.
Leaderboard
A leaderboard ranks participants, including users of the Score Predict app, showcasing weekly performance.
Key Points:
- Validators fetch games starting in the next 60 minutes.
- Challenges are allocated based on validator stakes and a hash of the epoch and miner_uids.
- Miners have 12 seconds to respond.
- Matches from the previous day are checked against submissions for scoring and weight setting.
Mining
Miners generate predictions for upcoming football matches using a base model, which is a Random Forest classifier trained on historical match data. Currently, miners predict the match outcome as either a win or a draw. In the future, predictions will expand to include additional in-game events, such as final scores, half-time scores, red and yellow cards, corners, and which player scores the first goal.
Current Base Model
The base miner model is a Random Forest classifier trained on historical football match data. It:
- Utilizes features like team performance stats, head-to-head records, league standings, and match timing.
- Applies data preprocessing techniques such as imputation and feature scaling.
- Predicts match outcomes (home win, away win, or draw) based on these features.
While this model provides a solid foundation, we are enhancing it further. We anticipate that many miners will use their own optimized models for improved accuracy.
Validating
Validators create challenges for miners by providing upcoming match data and then scoring the predictions. They retrieve match information from the Score API to generate challenges and compare results against miners’ predictions to allocate rewards.
Scoring
Their enhanced scoring system now includes a streak multiplier to reward consistent performance:
Base Scoring:
- 3 points for each correct prediction.
- 0 points for incorrect predictions.
Streak Multiplier:
- The system tracks streaks of correct predictions.
- Multipliers are applied based on streak length:
- 2-4 correct predictions: 1.1x multiplier
- 5-9 correct predictions: 1.4x multiplier
- 10-19 correct predictions: 1.8x multiplier
- 20+ correct predictions: 2.0x multiplier
Final Score Calculation:
- Final Score = Base Score * Streak Multiplier
This system promotes consistent accuracy and will evolve with the addition of more in-game prediction types.
With a team boasting over a decade of experience and strong connections in the football world, they’re ready to onboard global football communities and anyone with a mobile device as miners on their subnet. The Score Predict team brings together tech experts with deep Web3 experience and a strong history of scaling consumer and AI projects. Their unique edge comes from established connections and partnerships with top footballers, offering exclusive insights into the game. This combination of technological skill and football insider knowledge positions them to spearhead football and sports predictions on Bittensor.
Tim Kalic – Chief Executive Officer
Nigel Grant – Chief Strategy Officer
Max Sebti – Protocol Designer
Jack Devlin – Marketing Manager
Gaetan Lajeune – V&M Manager
Alfie Grant – Football Analyst