S9 Ep54: Does sacking the manager work?

Your football team keeps losing. The season is slipping away. One thing can be changed by Friday, and the crowd is already singing about it: sack the manager.

Jan van Ours (Erasmus School of Economics, CEPR, Feyenoord fan) has looked at seven seasons of the Dutch top flight and 31 managers who were sacrificed mid-season. To work out whether any of them deserved it, he uses bookmaker odds and expected goals to distinguish bad play from bad luck.

The new-manager bounce is real: results improve after a new manager walks in. But also, not real: clubs that don't sack the manager have an upturn too. The message for the boardroom, in football and business, is that not doing anything might often be the best course of action.

The research behind this episode:

van Ours, Jan C. 2026. "Dust in the Wind: Causes and Consequences of Managerial Replacements." CEPR Discussion Paper DP21850, Centre for Economic Policy Research. The paper is gated.

To cite this episode:

Phillips, Tim, and Jan van Ours. 2026. "Does sacking the manager work?" VoxTalks Economics (podcast).

About the guest

Jan van Ours is Emeritus Professor of Applied Economics at Erasmus School of Economics, Erasmus University Rotterdam, and a core member of the Erasmus Centre for Applied Sports Economics. He is also Adjunct Professor at the Center for Health Economics, Monash Business School, and a Research Fellow of the Centre for Economic Policy Research. His research spans unemployment dynamics, labour market policy, health and well-being, and the economics of professional sport, where match data offer a rare chance to watch a labour market in the open.

Research cited in this episode

The Eredivisie sample. Seven seasons of the top league of Dutch professional football, from 2018/19 to 2024/25, covering 4,136 match observations and 126 club-seasons. In that period 31 managers were replaced during a season; about 15% had gone by mid-season and 25% by the end of it.

Points surprise. The cumulative gap, from the first match of the season, between the points a club has won and the points the bookmakers implied it should have won. Bookmaker odds are used as the benchmark because they already contain everything the market knows about squad quality, home advantage and the opposition; van Ours confirms this in the data, finding that recent results add nothing to the odds as a predictor of the next match.