Deutschlandsberger vs Lafnitz, 30/10/2026 18:00 – live score
Regional League South
Match info
Last 5 matches
More- Deutschlandsberger SCLWDDWScored in 3 matches in a row
- SV LafnitzDWDDDUnbeaten in 6 matches
Line-ups
Line-ups not announced yetOfficial line-ups usually come about an hour before kick-off.
Deutschlandsberger SC and SV Lafnitz meet on in Regional League South.
Pre-match analysis
Not started
- Scoreno
- Statisticsno
- Line-upsyes
- Pitch animationno
- Pressure datano
- Model estimateyes
Before kick-off the model leans towards Deutschlandsberger SC (63%).
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
Deutschlandsberger SC vs SV Lafnitz: preview
Deutschlandsberger SC have won 2, drawn 2 and lost 1 of their last 5 matches. Deutschlandsberger SC have scored in 3 matches in a row. 7 of Deutschlandsberger SC's last 10 matches had 3 or more goals, and both sides scored in 7. SV Lafnitz have won 1, drawn 4 and lost 0 of their last 5 matches. SV Lafnitz are unbeaten in 6 matches. 9 of SV Lafnitz's last 10 matches had 3 or more goals, and both sides scored in 9.
Our pre-match model estimate: Deutschlandsberger SC 63%, draw 17%, SV Lafnitz 20%.
Match simulation
Model estimate · 20,000 simulationsModel simulation (20,000 runs): Deutschlandsberger SC win in 63% of the simulated matches, 17% end level and SV Lafnitz win 20%. Average goals 4.5; the most likely score is 2-1 (8%); both teams score in 76%.
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
