KSV Hessen Kassel vs SG Barockstadt Fulda-Lehnerz, 31/10/2026…
Match info
Last 5 matches
More- KSV Hessen KasselLWDLD
- SG Barockstadt Fulda-LehnerzLLDLLNo win in 12 matches
Line-ups
Line-ups not announced yetOfficial line-ups usually come about an hour before kick-off.
KSV Hessen Kassel and SG Barockstadt Fulda-Lehnerz meet on in Regionalliga South West.
Pre-match analysis
Not started
- Scoreno
- Statisticsno
- Line-upsyes
- Pitch animationno
- Pressure datano
- Model estimateyes
Before kick-off the model leans towards KSV Hessen Kassel (44%).
Chances to win
Model estimate
How is this calculated?
This is our own statistical model: before kick-off, each team's strength comes from a global team rating built on our results — every league and cup on one scale, linked through European and other cross-league matches — blended with the league's own results when both teams play in it. During the match it is updated with the minute, the score, red cards and the last 15 minutes of pressure (a Poisson goal model with the Dixon-Coles correction for low scores). Without enough data on both teams we show no percentages. It is a probability, not a certainty.
Preview
KSV Hessen Kassel vs SG Barockstadt Fulda-Lehnerz: preview
KSV Hessen Kassel have won 1, drawn 2 and lost 2 of their last 5 matches. 8 of KSV Hessen Kassel's last 10 matches had 3 or more goals, and both sides scored in 7. SG Barockstadt Fulda-Lehnerz have won 0, drawn 1 and lost 4 of their last 5 matches. SG Barockstadt Fulda-Lehnerz have not won in 12 matches. 7 of SG Barockstadt Fulda-Lehnerz's last 10 matches had 3 or more goals, and both sides scored in 7.
Our pre-match model estimate: KSV Hessen Kassel 44%, draw 21%, SG Barockstadt Fulda-Lehnerz 35%.
Match simulation
Model estimate · 20,000 simulationsModel simulation (20,000 runs): KSV Hessen Kassel win in 44% of the simulated matches, 21% end level and SG Barockstadt Fulda-Lehnerz win 35%. Average goals 3.8; the most likely score is 2-1 (8%); both teams score in 72%.
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.

