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Match Finished
1-1
Sun, 14 May 2023
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Pregame Notes
Archived pregame notes are unavailable for this finished fixture.

VfB Stuttgart vs Bayer Leverkusen Predictions - 14 May 2023

Pregame prediction state, community vote lean, matchup drivers, and trend context.

Last updated:

Match prediction guide

VfB Stuttgart vs Bayer Leverkusen predictions cover Bundesliga (Germany), Regular Season - 32 on 14 May 2023. Kick-off is listed for Sunday, 14 May 2023 at 15:30 CEST. This preview brings together the prediction lean, community voting, recent form, head-to-head notes and team context in one place. Because this is the predictions tab, the copy focuses on the pre-match view rather than live in-play swings after kick-off.

Archived pre-match prediction notes are unavailable for this fixture, so the page does not publish a reconstructed pregame lean.

What can shape the matchup

Recent form gives the first matchup clue: over the last five, VfB Stuttgart have taken 6 points while Bayer Leverkusen have taken 7. That comes from VfB Stuttgart taking 1 win and Bayer Leverkusen taking 2 wins in that span. Goal trend sits at VfB Stuttgart +0 and Bayer Leverkusen +1.

Season and schedule context add season pace at VfB Stuttgart 0.97 points per game versus Bayer Leverkusen 1.47 and venue split at 1.24 home points per game against 1.35 away points per game. These details help separate a simple prediction percentage from the rhythm each team brings into the match.

Recent head-to-head context lists VfB Stuttgart 2 recent H2H wins, Bayer Leverkusen 1 recent H2H win, and 3 draws, which adds rivalry history without treating older meetings as more important than current form.

Underlying team metrics add chance creation score at VfB Stuttgart 2.9 versus Bayer Leverkusen 3.3 and clean-sheet rate at 9% against 26%, giving the prediction a check against chance creation, defensive resistance and match-control signals.

Prediction trend

The prediction trend contains 91 trend points, showing how the pre-match view developed before the current prediction read.