Supercomputer tips Rivers United to win 2026/27 NPFL title

An artificial intelligence-powered supercomputer developed by Made In Africa Sport (MIAS) has backed Rivers United to win the 2026/27 Nigeria Premier Football League (NPFL) title.

The Port Harcourt side emerged as the model’s leading contender ahead of the new campaign, which kicked off on Friday, August 28.

The MIAS Supercomputer is designed to analyze all 380 fixtures of the 2026/27 NPFL season and project campaign outcomes. The model runs 100,000 Monte Carlo simulations per fixture — totaling 38 million simulations across the campaign — drawing on a database of more than 8,000 historical NPFL matches since 2003.

Rivers United enter the season among the main title contenders after finishing as runners-up in the 2025/26 campaign. Finidi George’s side missed out on the title to Rangers International by a single point on the final day, ending the season with 67 points and earning qualification for the CAF Champions League.

The club has retained the core of last season’s squad while adding several new players during the transfer window, including Chikamso Amaefula, James Ekebuike, Alex Oyowah, Ubong Williams, Imo Obot, Ekene Awazie, Blessed Iyamu, Clinton Andy, and Shehu Abdulrasheed Dabai.

Finidi, who has managed Rivers United since July 2024, expressed confidence in the revamped squad, noting that the off-season additions will help improve on last year’s near-miss.

Rather than simply predicting individual match winners, the MIAS system calculates probabilities for every finishing position on the final table, assessing title chances, continental qualification, and relegation risks.

The model heavily weighs recent performance (particularly a team’s last five matches), head-to-head records, goal scoring and defensive efficiency, transfer activity, and home advantage. MIAS historical data highlights that away teams have won only 601 of 7,966 NPFL matches played since 2003 — a win rate of just 7.5%.

“For a league with as much history as the NPFL, we still do not use enough of the data we have,” said Enitan Obadina, Executive Director at MIAS. “What [the model] can do is show probability based on the available evidence, giving a much better starting point than simply saying a team will win because it looks stronger on paper.”

Obadina emphasized that the supercomputer’s projections are designed to provide a statistical baseline for discussions around the league rather than replace human judgment or technical football knowledge.

The model will update its calculations, team ratings, and title probabilities after every matchday throughout the 38-game season.