Predictions / Football / Germany. Bundesliga / FC Augsburg vs Bayer Leverkusen

Prediction Audit: FC Augsburg vs Bayer Leverkusen Prediction, Odds & AI Betting Tips

FC Augsburg FC Augsburg
Sep 12, 2026 - 13:30
2 1.81
2 2.22
xG Accuracy: 89%
Bayer Leverkusen Bayer Leverkusen

The model missed the final outcome (Draw 2–2).

The model had projected Bayer Leverkusen at 46.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Bayer Leverkusen Draw ✖ Incorrect
  • Correct Score Insights 1-2, 2-2, 1-1, 2-1, 1-3 2-2 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates FC Augsburg considerably stronger than the closing betting market.

Largest probability gap: FC Augsburg +5.2 pp

Outcome Model Closing Market Difference Signal
FC Augsburg 31.1% 25.9% +5.2 pp Model Higher
Draw 22.1% 23.8% -1.7 pp Aligned
Bayer Leverkusen 46.8% 50.3% -3.5 pp Aligned

The statistical model estimates FC Augsburg's win probability at 31.1%, compared with the closing market's implied probability of 25.9%, a difference of 5.2 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 2–2.

Market Assessment

The fair estimate shows a modest edge over current market pricing on FC Augsburg.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 4.03) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Bayer Leverkusen; match finished Draw

Market lesson

The closing market differed from the model on Bayer Leverkusen by 5.2 percentage points (41.6% vs model 46.8%) — in this case the market view proved closer.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 12, 2026 · 19:29 UTC Forecast generated
    • Model 1X2 · FC Augsburg 31.1% · Draw 22.1% · Bayer Leverkusen 46.7%
    • xG · FC Augsburg 1.81 — Bayer Leverkusen 2.22
  2. Sep 12, 2026 · 13:06 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Augsburg 3.84 · Draw 4.07 · Bayer Leverkusen 1.89
    • Implied 1X2 · FC Augsburg 25.2% · Draw 23.7% · Bayer Leverkusen 51.1%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 13:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · FC Augsburg 3.74 · Draw 4.08 · Bayer Leverkusen 1.93
    • Implied 1X2 · FC Augsburg 25.9% · Draw 23.8% · Bayer Leverkusen 50.3%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 13:30 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 70/100 · High
  • Validation: Pass
  • High xG deviation from league baseline (64%+)
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 74/100
Betting Confidence 73/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:32 UTC Snapshot ID: dp-7437826

Closing Odds 3.74
AI Fair Odds —
CLV Pending
Final Result Draw · FC Augsburg 2–2 Bayer Leverkusen
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Bundesliga
  • Fixture: FC Augsburg vs Bayer Leverkusen
  • Kickoff: 2026-09-12 13:30:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): FC Augsburg 1.81 — Bayer Leverkusen 2.22 (total xG ≈ 4.03)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

October 01, 2026 (UTC)

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Bundesliga Bundesliga — Standings
# TEAM MP W D L PTS
1 Borussia Dortmund 4 4 0 0 12
2 Bayern München 4 3 1 0 10
3 SC Freiburg 4 3 1 0 10
4 FC Augsburg 4 2 1 1 7
5 Bayer Leverkusen 4 2 1 1 7
6 FSV Mainz 05 4 2 1 1 7
7 SV Elversberg 4 2 1 1 7
8 Werder Bremen 4 2 1 1 7
9 RB Leipzig 4 2 0 2 6
10 Eintracht Frankfurt 4 1 2 1 5
11 FC Schalke 04 4 1 2 1 5
12 SC Paderborn 07 4 1 1 2 4
13 1.FC Köln 4 1 1 2 4
14 1899 Hoffenheim 4 1 0 3 3
15 VfB Stuttgart 4 1 0 3 3
16 Hamburger SV 4 1 0 3 3
17 Union Berlin 4 0 1 3 1
18 Borussia Mönchengladbach 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Bayern München 4 14 2 +12 10
2 SC Freiburg 4 12 3 +9 10
3 FC Augsburg 4 11 6 +5 7
4 Bayer Leverkusen 4 10 5 +5 7
5 FSV Mainz 05 4 10 6 +4 7
6 Borussia Dortmund 4 9 2 +7 12
7 RB Leipzig 4 9 5 +4 6
8 Eintracht Frankfurt 4 9 10 -1 5
9 SV Elversberg 4 8 7 +1 7
10 Werder Bremen 4 8 8 0 7
11 1899 Hoffenheim 4 7 10 -3 3
12 1.FC Köln 4 6 9 -3 4
13 VfB Stuttgart 4 6 9 -3 3
14 Borussia Mönchengladbach 4 6 16 -10 0
15 Union Berlin 4 4 17 -13 1
16 FC Schalke 04 4 3 4 -1 5
17 SC Paderborn 07 4 3 5 -2 4
18 Hamburger SV 4 2 13 -11 3
# TEAM MP xG xGC +/- PTS
1 RB Leipzig 4 4.0 0.9 +3.1 6
2 Bayern München 4 3.9 0.9 +3.0 10
3 SC Freiburg 4 1.9 0.5 +1.4 10
4 FC Augsburg 4 4.7 3.8 +0.9 7
5 Bayer Leverkusen 4 1.9 1.1 +0.8 7
6 Borussia Dortmund 4 1.4 0.7 +0.7 12
7 Eintracht Frankfurt 4 3.6 3.0 +0.6 5
8 Union Berlin 4 1.9 1.4 +0.5 1
9 FSV Mainz 05 4 1.2 0.8 +0.4 7
10 1899 Hoffenheim 4 1.8 1.7 +0.1 3
11 1.FC Köln 4 1.7 1.8 -0.1 4
12 SC Paderborn 07 4 0.8 1.2 -0.4 4
13 Hamburger SV 4 0.7 1.4 -0.7 3
14 SV Elversberg 4 1.1 1.9 -0.8 7
15 Werder Bremen 4 0.5 1.9 -1.4 7
16 FC Schalke 04 4 1.5 3.5 -2.0 5
17 VfB Stuttgart 4 0.9 3.9 -3.0 3
18 Borussia Mönchengladbach 4 0.9 4.0 -3.1 0