Expected goals
Home xG / Away xG
Bundesliga - 28321
Current lifecycle fixture
Kickoff
2026-09-05 00:00:00
VS

Intelligence overview
Highest 1X2 estimate 56%. Confidence is low, so the UI avoids a strong recommendation.
Expected goals
Home xG / Away xG
Model
analysis-v1
live-local
Publication
published
Public view hides drafts
Confidence
Low confidence
Cautious estimate
AI MATCH ANALYSIS
The model leans to a Bayer 04 Leverkusen victory (56% probability) driven by a stronger home scoring profile and expected goals of 2.1 for the home side versus 1.1 for Union Berlin. Key markets favour over 1.5 goals and both teams to score, but the overall confidence is low (42), so the lean should be read as tentative.
Prediction classification: home_lean. Probabilities: Home win 56%, Draw 25%, Away win 19%. The model's highest-probability outcome is a Leverkusen victory, but the margin over other outcomes is modest and the confidence score is 42 (labelled Low), indicating limited historical support in the underlying sample.
The predictive result is derived from a small sample (matchesUsedHome: 1, matchesUsedAway: 1). That restricted sample size reduces the reliability of form-based inference; the model therefore places more weight on per-match scoring rates and expected goals rather than extended streaks or momentum.
Leverkusen show a higher expected home scoring output and the model references specific scoring/concession rates that drive the home-lean. Union Berlin concede at a higher rate away from home according to the model inputs, increasing likelihood of goals conceded.
Combined expected goals are 3.2 (2.1 + 1.1). Model probabilities: Over 1.5 goals 90%, Over 2.5 goals 60%, Both teams to score 70%. These statistics point to a favourable environment for multiple-goal outcomes and for both sides to get on the scoresheet.
Over 1.5
High probability (90%) for more than 1.5 total goals given a combined expected-goals estimate of 3.2.
Over 2.5
Moderate-to-strong probability (60%) for more than 2.5 total goals, reflecting both an above-1.0 expected away goal figure and a 2.1 expected home goal figure.
BTTS
Both teams to score probability is 70%, supported by expectedAwayGoals of 1.1 and expectedHomeGoals of 2.1 indicating attacking output from both sides.
Expected goals
Bayer 04 Leverkusen: 2.1
FC Union Berlin: 1.1
Bayer 04 Leverkusen
Superior home scoring expectation
Model expects Leverkusen to produce 2.1 goals at home and cites an average home scoring rate (noted in key reasons) around 2.2, underpinning the home-win lean.
FC Union Berlin
Away attacking output
Union Berlin are expected to score (1.1 expected away goals), contributing to a 70% BTTS probability and supporting over-goals markets.
Low model confidence and tiny sample
Confidence score is 42 (Low) and only one match per side was used in the model's immediate dataset; this materially increases outcome uncertainty.
Close probability distribution
Although home win is highest at 56%, draw and away outcomes still combine for 44% and the top-two gap is not wide enough to guarantee a single outcome.
Final Verdict
The model produces a home-lean: Leverkusen 56% vs Union Berlin 19% away, with combined expected goals of 3.2 and elevated probabilities for over 1.5 goals (90%) and BTTS (70%). However, the confidence score is low (42) and the underlying sample is minimal (one recent match per side), so the projection should be treated as tentative rather than definitive.
Confidence language: Low. This remains an analytical view, not a guaranteed selection.
Analysis Engine V1 calculates the probabilities. The AI writer explains the verified inputs and does not alter numbers, add odds, or claim certainty.
Source datasets: live-local. Generated 2026-07-14T17:10:02.164Z.
Exact model percentages, never bookmaker odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
A probability is an estimated chance from the local model context. It is not an outcome promise and is not bookmaker odds.
Market intelligence
A separate explanation layer for match markets. These signals do not change Analysis Engine V1 and are not bookmaker odds.
V1 expects 3.2 total goals. Local team samples average 3.19 total goals in matches involving these sides.
The winner market remains separated from goals markets, so a high goal signal does not automatically mean a strong home or away call.
Sportmonks returned corner statistics in the access audit. Per-team corner trends are not available for this fixture yet.
Sportmonks returned yellow cards, red cards and ball-possession statistics in the access audit. Match-specific trend import is pending.
Risk review
Short caution signals that explain why the analysis remains measured. These do not change the V1 prediction.
Draw tendency sample
25%
Combined draw share across both team samples.
V1 draw estimate shown for transparency.
Confidence caution
Cautious
Low-confidence analysis should avoid strong wording.
Manual publication remains required.
Historical sample context
68 matches
Current-season form will appear separately after Sportmonks current-season imports are expanded.
Longer-term profile from completed local datasets: 2025/2026. Current-season signals appear separately when Sportmonks match data is available.
Bayer 04 Leverkusen form
PPG 1.74 - GF 68 - GA 47
FC Union Berlin form
PPG 1.15 - GF 44 - GA 58
Home team signal
Points profile
1.74 PPG
17W 8D 9L sample
Goals for
2
68 scored across local sample
Goals against
1.38
47 conceded across local sample
Away team signal
Points profile
1.15 PPG
10W 9D 15L sample
Goals for
1.29
44 scored across local sample
Goals against
1.71
58 conceded across local sample
Match timeline
Goals, cards, VAR and substitutions appear only when verified Sportmonks event data exists locally.