Energie Cottbus vs TSV 1860 München - AI Football Prediction for October 27, 24
Our AI-powered preview for the 3. Liga clash between Energie Cottbus and TSV 1860 München on October 27, 24 in Germany delivers a comprehensive look at both teams' recent form and their head-to-head history.
Energie Cottbus have managed 1 win(s), 1 draw(s), and 3 loss(es) in their last 5 matches, averaging 0.8 goals per game. Meanwhile, TSV 1860 München have recorded 4 win(s), 0 draw(s), and 1 loss(es) in the same period, with an average of 2.4 goals per match.
Looking at their previous encounters, these teams have faced each other 0 time(s): Energie Cottbus have won 0, TSV 1860 München have won 0, and 0 match(es) ended in a draw. On average, their meetings have produced 0.0 goals per game.
Factoring in current form, historical results, and advanced statistical models, our AI provides actionable insights to help you make smarter betting decisions for this match.
Recent Matches

Energie Cottbus

TSV 1860 München
April 25, 25

1 - 0
TSV 1. M.

April 19, 25

2 - 1
Alemannia

April 13, 25

0 - 3
TSV 1. M.

April 9, 25

2 - 0
SV S.

April 5, 25

5 - 1
Energie C.

Insights
Won 80% of last 5 matches
Highest score in last 5: 5 goals
Goal difference in last 5: +9
Averaging 2.4 goals per game in last 5
Best Bets
Total - Home: Over 0.5
1.15
1.15
Goals Over/Under: Over 1.5
1.17
1.17
Total - Away: Over 0.5
1.25
1.25
Prediction Insight
2 - 1
or1 - 2
With a balanced 55% probability rating, this prediction offers moderate value. Our analysis reveals mixed but generally positive indicators, including relevant historical patterns and current form metrics. Consider this a calculated opportunity that requires strategic stake management. Key performance indicators suggest potential upside, though market volatility should be factored into betting decisions.
Balanced Value Play
Confidence Level: Moderate
Energie Cottbus: We predicted 4 correct scores out of the last 8 games (50% accuracy)
TSV 1860 München: We predicted 5 correct scores out of the last 8 games (63% accuracy)
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