StadelnvsKornburg

This Oberliga Bayern Nord round-eight fixture pairs Stadeln with Kornburg at Waldsportanlage, with no prior meetings between the sides on record. League standings are unavailable for both teams, so the model projection and recent form carry the analytical weight. Kornburg enter as overwhelming favorites, with an 83.7% win probability.

Stadeln's last five matches show WDWLD, with an average of 1.2 goals scored and 0.8 conceded per game. In their last three home matches, they have one win, one draw and one loss, scoring an average of 1.0 and conceding 1.67. Their home win rate stands at 33.3%.

Kornburg arrive unbeaten in their last five (WWDWW), averaging 2.4 goals scored and 0.6 conceded. Their last three away games produced two wins and a draw, with an average of 3.33 goals scored and 1.33 conceded, for a 66.7% win rate.

No prior meetings are on record, so the head-to-head sample is empty. That makes any historical comparison impossible and adds uncertainty to the fixture.

Stadeln's home splits show a win rate of 33.3% and a negative goal average (1.0 scored vs 1.67 conceded). Kornburg's away splits are the mirror image: a 66.7% win rate, 3.33 scored and 1.33 conceded per game.

Both teams have had similar rest, with Kornburg on seven days since their last match and Stadeln on six. There is no head-to-head history to calibrate expectations, and the model outputs only medium confidence. The absence of league table data also limits contextual analysis.

The model projects a Kornburg win with 83.7% probability, against 6.6% for the home side and 9.7% for a draw. The expected scoreline is 1-3, with the highest-probability exact scores being 1-3, 0-3 and 1-4. Total goals are projected at about 4.73, with a 94.9% chance of at least two goals and a 68.2% chance of an away win by two or more.

The data points clearly to a comfortable away win, with Kornburg's recent scoring and Stadeln's defensive numbers from the same sample reinforcing the model. A home result would contradict both recent form and the projected goal distribution, though the medium confidence level and lack of head-to-head data are the caveats.