Bayer Leverkusen 2-0 FC Augsburg – Result & Analysis

Poisson model rates Bayer Leverkusen at 43% — neither recent form nor the head-to-head data gives a clear steer either way as Bayer Leverkusen face FC Augsburg.

✍️ Match Preview

Full Analysis

BayArena plays host to Bayer Leverkusen versus FC Augsburg in Bundesliga (matchday 31). Kick-off: Saturday 26 April 2025 at 15:30 UK time.

Form & Momentum

Bayer Leverkusen have collected 1.90 PPG across their last 10 games: 5W 4D 1L. Last five: W W W D D. Offensively they are averaging 1.50 goals per game, with 0.80 conceded. Defensively, conceding just 0.80 per game is an exceptional defensive record. 5 clean sheets from 10 games (50%) is a standout defensive return — they are keeping their net clean in more than half their matches.

In front of their own supporters, Bayer Leverkusen have posted 7W 2D 1L from their last 10 home games — 2.30 PPG. They are averaging 2.20 goals per home game — a prolific scoring rate in front of their own fans. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

FC Augsburg's record over their last 10 games: 4W 5D 1L (1.70 PPG). Last five: W D L W D. Their scoring rate of 0.90 per game is modest, conceding 0.50 — not a side to back heavily on the Over 2.5 from their form alone. Defensively, 0.50 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 7 clean sheets from 10 games (70%) is an exceptional defensive record — they are keeping clean sheets more often than not. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets.

FC Augsburg's form when playing away from home: 5W 4D 1L across their last 10 road games (1.90 PPG). Away from home they average 1.50 goals scored and 1.00 conceded per game. 5 away clean sheets from their last 10 away games (50%) — they are hard to break down on the road.

Neither side holds a meaningful form edge. The 1.90 vs 1.70 PPG split is negligible — model and market signals should carry more analytical weight for this one.

H2H History

The head-to-head record is closely matched — across the 6 H2H matches in our data, Bayer Leverkusen edge it 4 wins to 2, with 0 draws. Neither side has a commanding advantage.

The 6 H2H matches in our data averaged 2.7 goals per game — a neutral rate that gives no strong lean on the goals market from the H2H alone. The most recent of those, on 14 Dec 2024, ended Bayer Leverkusen 2–0 FC Augsburg — a Bayer Leverkusen win.

The head-to-head data offers no strong steer in either the result or goals markets. Form, the model and current market pricing should carry more weight for this fixture.

Trading Data

Bayer Leverkusen goal-timing and half-time pattern breakdown (last 64 games, 32 of them at home): at least one goal arrives before half-time in 81% of their matches in home games; when goalless at HT, a second-half goal follows 50% of the time; they lead at the break 59% of the time; of the 7 games they trailed at half-time, they recovered to draw or win 86%; BTTS occurs in 59% of their matches (home games); Over 2.5 goals lands in 75% of games (home games); Over 3.5 in 44%.

FC Augsburg goal-timing and half-time pattern breakdown (last 64 games, 32 of them away): at least one goal arrives before half-time in 84% of their matches in away games; when goalless at HT, a second-half goal follows 71% of the time; of the 16 games they led at half-time, they failed to win 25%; of the 22 games they trailed at half-time, they recovered to draw or win 27%; BTTS occurs in 56% of their matches (away games); Over 2.5 goals lands in 59% of games (away games).

BTTS rates are mixed from the trading data — Bayer Leverkusen 61% versus FC Augsburg 58%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Bayer Leverkusen 67% | FC Augsburg 56%). Note also that FC Augsburg surrender HT leads in 25% of cases while Bayer Leverkusen recover from half-time deficits to draw or win 86% of the time — a dynamic that could influence in-play positioning.

Poisson Model

The Poisson distribution model projects Bayer Leverkusen 1.35 xG and FC Augsburg 1.07 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Bayer Leverkusen attack 1.082 / defence 0.782 | FC Augsburg attack 0.941 / defence 0.843. League average goals — home 1.483 / away 1.449. Bayer Leverkusen have a tight defence (rating 0.782), which is pulling FC Augsburg's projected output down. Data: built from Bayer Leverkusen's last 64 games and FC Augsburg's last 64.

Result probabilities: Bayer Leverkusen 43% | Draw 28% | FC Augsburg 29%. Fair-value odds: Bayer Leverkusen 2.34 | Draw 3.53 | FC Augsburg 3.45. This is a low-confidence result — no outcome reaches 45%. The draw at 28% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 44% | BTTS Yes probability 49% | Total xG 2.42. Under 2.5 has a narrow probability edge at 56% — total xG of 2.42 is below the line but not decisively so. BTTS No at 51% is only a slight lean — the model gives both sides a fair chance of scoring, so No isn't a clear standalone call.

Final Verdict

Poisson rates Bayer Leverkusen as the most likely outcome at 43% — marginal model lean. Draw probability of 28% warrants consideration of Double Chance or Draw No Bet on Bayer Leverkusen if the outright odds are short. The opposing side holds a 29% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.42 total expected goals, pointing to Under 2.5 at 56% probability — a Poisson-only call with no corroboration from form or H2H.

On the BTTS market, Poisson puts 51% on No. Form rates are neutral — both teams scored in: Bayer Leverkusen 60% (last 10 home games) | FC Augsburg 50% (last 10 away games).

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights