CHAN is a singular opportunity for Kenyan educators to advance interest in mathematics through orchestrated play-based immersion.
This season, the #IBDSeries will yet again show how to turn football data into disciplined judgement and build accurate goal-difference prediction models. The ongoing African Nations Championship (CHAN) is a great space to demystify mathematics and endear this critical subject to young people and young minds alike.
Football Prediction Models – Made in Kenya
Kenya-made FIFA World Cup prediction models had been shared under the #IBDSeries earlier, for the 2018 and 2022 tournaments. In 2024, the models were presented at the Africa Football Business Summit, held in Nairobi, October 24-25, 2024. By building on the key examples of the football prediction models made in Kenya, trainers can better deliver on the learning principles that should leverage the new competency-based education and training (CBET) model in Kenya, making scaffolding and sequencing, orchestrated immersion, and play-based learning closer to young learners.
Don’t be a passive viewer—engage. Follow the #IBDSeries daily analyses—tried, tested, and trusted since the 2018 World Cup—featuring xG insights, shot maps, and value checks.
Graduating maths from abstract mystery to concrete fun. #YouthInData #DecisionScience #CHAN2025
Important Links to Open
Follow the track record of this football modelling series from the links below:
X-SPACE WORLD CUP PREDICTION MODELS – MADE IN KENYA: https://x.com/i/spaces/1ypJddModZYJW
Testing and tasting the sweetness of the World Cup at Taita Taveta University with prediction models
The 2022 World Cup: Lessons and Final Model Scenarios – Impact Borderless Digital