How Al-Kholood Club uses predictive models to compete with Saudi Pro League giants by putting data first

In a league seeing massive capital inflows and high-profile signings, Al-Kholood Club, based in the city of Ar Rass, 450 kilometers west of Riyadh, has chosen an approach grounded in mathematical computing rather than entering direct financial bidding wars. Promoted to the Saudi Pro League in 2024 and acquired by American investor Ben Harburg in July 2025 as the competition's first fully foreign-owned club, the team now relies on an AI-powered predictive system to evaluate player efficiency and secure undervalued deals across global markets.

This approach relies on the Teamworks Player ID platform, which screens a database of around 100,000 players across more than 200 leagues worldwide. According to Gareth Jennings, sporting director of Harburg Group, the club's ownership group, the policy sets strict numerical thresholds for each position. Any candidate who fails to exceed predefined statistical cutoffs is eliminated immediately, leaving human judgment as a secondary stage limited to assessing character, disciplinary history, and injury records. Jennings explains this rule by noting thatthe data always has the final saywhen assessing performance levels and expected player output.

Relying on predictive models is not intended to eliminate the human element, but to reduce margins of error in the transfer market. Rich Byrne, commercial director of the platform, explains that the traditional success rate for transfers across football clubs is typically below 50 percent, whereas algorithms developed and trained across 22 transfer windows over 11 years raise that rate to between 70 and 80 percent. This mathematical precision allows the club to isolate a player's true ability from the level of domestic competition they play in and measure their capacity to adapt to coaching changes, helping explain the team's run to the King's Cup final against Al-Hilal just 11 months after the acquisition.

This shift carries strategic significance that extends beyond the pitch into club management and sports investment across the Gulf, Egypt, and the Levant. As signing costs rise and financial efficiency rules tighten, reliance on advanced analytics becomes an operational necessity that restructures scouting budgets and curbs capital waste on transfers with uncertain returns. Models that evaluate overall squad quality and forecast market value trends give mid-sized sports organizations a competitive tool to offset spending disparities, requiring regional technical staff to master working with statistical dashboards before making long-term investment decisions.