Predictions / Football / Germany. Bundesliga / Bayern München vs 1.FC Köln

Prediction Audit: Bayern München vs 1.FC Köln Prediction, Odds & AI Betting Tips

Bayern München Bayern München
May 16, 2026 - 13:30
5 3.14
1 1.58
xG Accuracy: 51%
1.FC Köln 1.FC Köln

AI correctly predicted the Bayern München win.

The match finished 5–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Bayern München Bayern München ✔ Correct
  • Correct Score Insights 3-1, 2-1, 3-2, 4-1, 2-2 5-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Bayern München higher than the statistical model.

Largest probability gap: Bayern München -14.7 pp

Outcome Model Closing Market Difference Signal
Bayern München 68.0% 82.6% -14.7 pp Market Higher
Draw 16.1% 10.4% +5.7 pp Model Higher
1.FC Köln 15.9% 7.0% +9.0 pp Model Higher

The closing market estimates Bayern München's win probability at 82.6%, compared with the model's estimate of 68.0%, a difference of 14.7 percentage points. This highlights a disagreement between the model and market consensus, without 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 model's directional lean matched the result (Bayern München win 5–1).

Market Assessment

The market is materially more optimistic about Bayern München than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 4.72) — 6 goals materialised
  • Bayern München attacking xG significantly stronger (3.14 vs 1.58)
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Bayern München higher (82.7% vs model 68.0%, 14.7 pp), but the model's lean was validated (Bayern München win 5–1).

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Prediction Timeline

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

  1. May 16, 2026 · 13:29 UTC Forecast generated
    • Model 1X2 · Bayern München 68.0% · Draw 16.1% · 1.FC Köln 15.9%
    • xG · Bayern München 3.14 — 1.FC Köln 1.58
  2. May 16, 2026 · 13:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bayern München 1.16 · Draw 9.19 · 1.FC Köln 13.76
    • Implied 1X2 · Bayern München 82.6% · Draw 10.4% · 1.FC Köln 7.0%
    • Bookmaker · Pinnacle
  3. May 16, 2026 · 13:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bayern München 1.16 · Draw 9.19 · 1.FC Köln 13.76
    • Implied 1X2 · Bayern München 82.6% · Draw 10.4% · 1.FC Köln 7.0%
    • Bookmaker · Pinnacle
  4. May 16, 2026 · 13:30 UTC Kickoff
  5. FT Full-time result Bayern München win · 5–1
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 44/100 · Low
  • Validation: Warning
  • Large market gap (15 pp)
  • High xG deviation from league baseline (133%+)
Evidence ★★★★★
  • Strong model lean
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 35/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 03, 2026 · 00:39 UTC Snapshot ID: dp-2906915

Closing Odds 1.16
AI Fair Odds —
CLV Pending
Final Result Bayern München win · Bayern München 5–1 1.FC Köln
Prediction ✔ Correct
Decision Grade B-

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: Bayern München vs 1.FC Köln
  • Kickoff: 2026-05-16 13:30:00
  • 1X2 (model): Home 68.0% · Draw 16.1% · Away 15.9%
  • xG (showing): Bayern München 3.14 — 1.FC Köln 1.58 (total xG ≈ 4.72)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 76.5% · Implied: 64.4% · Probability edge: +12.1 pts · Est. EV: +14.8%
  • BTTS (model): Yes 76.5% · No 23.5%
  • Correct score (top bin): 3-1 (7.3%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against 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 03, 2026 (UTC)

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Bundesliga Bundesliga — Standings
# TEAM MP W D L PTS
1 Bayern München 34 28 5 1 89
2 Borussia Dortmund 34 22 7 5 73
3 RB Leipzig 34 20 5 9 65
4 VfB Stuttgart 34 18 8 8 62
5 1899 Hoffenheim 34 18 7 9 61
6 Bayer Leverkusen 34 17 8 9 59
7 SC Freiburg 34 13 8 13 47
8 Eintracht Frankfurt 34 11 11 12 44
9 FC Augsburg 34 12 7 15 43
10 FSV Mainz 05 34 10 10 14 40
11 Union Berlin 34 10 9 15 39
12 Borussia Mönchengladbach 34 9 11 14 38
13 Hamburger SV 34 9 11 14 38
14 1.FC Köln 34 7 11 16 32
15 Werder Bremen 34 8 8 18 32
16 VfL Wolfsburg 34 7 8 19 29
17 1. FC Heidenheim 34 6 8 20 26
18 FC St. Pauli 34 6 8 20 26
# TEAM MP GS GC +/- PTS
1 Bayern München 34 122 36 +86 89
2 VfB Stuttgart 34 71 49 +22 62
3 Borussia Dortmund 34 70 34 +36 73
4 Bayer Leverkusen 34 68 47 +21 59
5 RB Leipzig 34 66 47 +19 65
6 1899 Hoffenheim 34 65 52 +13 61
7 Eintracht Frankfurt 34 61 65 -4 44
8 SC Freiburg 34 51 57 -6 47
9 1.FC Köln 34 49 63 -14 32
10 FC Augsburg 34 45 61 -16 43
11 VfL Wolfsburg 34 45 69 -24 29
12 FSV Mainz 05 34 44 53 -9 40
13 Union Berlin 34 44 58 -14 39
14 Borussia Mönchengladbach 34 42 53 -11 38
15 1. FC Heidenheim 34 41 72 -31 26
16 Hamburger SV 34 40 54 -14 38
17 Werder Bremen 34 37 60 -23 32
18 FC St. Pauli 34 29 60 -31 26
# TEAM MP xG xGC +/- PTS
1 Bayern München 34 97.2 37.9 +59.3 89
2 Borussia Dortmund 34 63.4 38.9 +24.5 73
3 Bayer Leverkusen 34 64.0 44.8 +19.2 59
4 RB Leipzig 34 66.3 50.2 +16.1 65
5 VfB Stuttgart 34 60.1 49.8 +10.3 62
6 1899 Hoffenheim 34 55.1 51.4 +3.7 61
7 SC Freiburg 34 48.6 47.8 +0.8 47
8 FSV Mainz 05 34 52.9 54.6 -1.7 40
9 1.FC Köln 34 50.9 54.9 -4.0 32
10 Eintracht Frankfurt 34 45.4 50.1 -4.7 44
11 Union Berlin 34 44.9 52.2 -7.3 39
12 Borussia Mönchengladbach 34 42.7 52.5 -9.8 38
13 Werder Bremen 34 40.4 54.3 -13.9 32
14 VfL Wolfsburg 34 47.1 61.8 -14.7 29
15 1. FC Heidenheim 34 47.5 63.4 -15.9 26
16 FC Augsburg 34 45.2 62.6 -17.4 43
17 Hamburger SV 34 38.3 56.9 -18.6 38
18 FC St. Pauli 34 30.5 56.2 -25.7 26
Bundesliga Germany. Bundesliga Predictions