When a football club sacks its manager, pundits and fans frequently invoke the 'new manager bounce' — the idea that a fresh managerial appointment produces an immediate improvement in results. But does the data support this claim, and how do our AI models at 1X2.TV account for managerial changes?

The Data on New Manager Bounces

Our analysis of hundreds of managerial changes across Europe's top leagues reveals a nuanced picture. On average, teams do show a modest improvement in results over their first 3-5 matches under a new manager, but this improvement is smaller and less consistent than popular narratives suggest. The average points-per-match increase is approximately 0.3 in the first five matches, but the variance is enormous — some new managers produce dramatic immediate improvements while others see continued decline.

Factors That Determine Bounce Magnitude

Caretaker vs. Permanent Appointment

Caretaker managers produce a smaller and shorter bounce than permanent appointments. The uncertainty surrounding the caretaker's tenure limits their ability to make significant tactical or personnel changes.

Timing of the Change

Mid-season managerial changes during periods of very poor form tend to produce larger bounces, partly because the team was likely underperforming its true quality level. Changes made during average performance periods show negligible bounces.

Quality of Incoming Manager

High-profile incoming managers with strong track records produce more sustained improvements, though the initial bounce may not be larger than for lesser-known appointees.

How Our Models Respond to Manager Changes

When a managerial change is announced, our models apply a temporary uncertainty increase to all predictions involving the affected team. The new manager bounce is modeled as a small, time-decaying positive adjustment to the team's form rating, calibrated based on the type of appointment and the circumstances of the change. This adjustment gradually fades as actual results under the new manager provide more reliable data.

Monitoring Manager Changes

1X2.TV's prediction pipeline automatically detects managerial changes and updates predictions accordingly. Users are advised to check for manager change alerts when reviewing predictions for teams that have recently made coaching changes.