3. Liga - Germany Predictions — Model Probabilities

Research, not instructions — the model states a probability, never a selection.

Want to slice this yourself? Open in Explorer — model probabilities preset →

This page selects every fixture on the current snapshot that carries a full model view — win, draw and win probabilities plus the most likely scoreline. A fixture the engine has not yet scored is left out rather than shown with an assumed number.

0 fixtures of 20 considered

Prices captured in the scheduled market snapshot, 11 September at 08:02 UK time.

Match	Kickoff (UK)	Model 1X2	Most likely score
Rot-Weiss Essen v FC Würzburger Kickers	Sat 12 Sept, 13:00	—	—
TSV Havelse v SG Sonnenhof Großaspach	Sat 12 Sept, 13:00	—	—
1. FC Saarbrücken v FC Ingolstadt 04	Sat 12 Sept, 13:00	—	—
SC Verl v SV Meppen	Sat 12 Sept, 13:00	—	—
Fortuna Düsseldorf v MSV Duisburg	Sat 12 Sept, 13:00	—	—
Alemannia Aachen v Jahn Regensburg	Sat 12 Sept, 15:30	—	—
VfB Stuttgart II v SC Preußen Münster	Sun 13 Sept, 12:30	—	—
Wehen Wiesbaden v Waldhof Mannheim	Sun 13 Sept, 15:30	—	—
TSG Hoffenheim II v SC Fortuna Köln	Sun 13 Sept, 18:30	—	—
MSV Duisburg v TSV Havelse	Tue 15 Sept, 18:00	—	—
SG Sonnenhof Großaspach v SC Verl	Tue 15 Sept, 18:00	—	—
FC Würzburger Kickers v Alemannia Aachen	Tue 15 Sept, 18:00	—	—
SV Meppen v FC Viktoria Köln 1904	Tue 15 Sept, 18:00	—	—
Jahn Regensburg v Fortuna Düsseldorf	Tue 15 Sept, 18:00	—	—
Fortuna Köln v SV Wehen	Wed 16 Sept, 18:00	—	—
Hansa Rostock v Stuttgart II	Wed 16 Sept, 18:00	—	—
FC Ingolstadt 04 v Hoffenheim II	Wed 16 Sept, 18:00	—	—
Waldhof Mannheim v Rot-Weiß Essen	Wed 16 Sept, 18:00	—	—
Preußen Münster v FC Saarbrücken	Wed 16 Sept, 18:00	—	—
Verl v Würzburger Kickers	Fri 18 Sept, 18:00	—	—

Read the full picture. Every row links to the fixture's prediction view: expected goals, fair odds, price movement and the grounded team-news brief. The track record grades every published call in the open.

Frequently asked questions

How are these 3. liga - germany predictions made?

A Dixon-Coles + ELO statistical model, trained continuously on a growing results archive, produces expected goals per team and win/draw/win probabilities for every fixture. The model is then priced against the real odds market — the market always owns the final number.

Are these betting tips?

No — they are model probabilities published as research. Probabilities carry uncertainty and no outcome is certain; judge the process on the public track record, which grades every published call against the closing line.

How do I know the model is any good?

The track record page publishes calibration (predicted vs observed frequencies), closing-line value on every call, and a held-out walk-forward backtest — process metrics first, never performance claims.

Prices captured in the scheduled market snapshot, 11 September at 08:02 UK time. · engine slate assembled 12 h ago · this page fetched the feed just now. Every price shown is a real captured bookmaker price with its own capture time.