Predictions / Football / Germany. Bundesliga / VfB Stuttgart vs 1.FC Köln

Prediction Audit: VfB Stuttgart vs 1.FC Köln Prediction, Odds & AI Betting Tips

Sep 04, 2026 - 18:30
4 1.73
1 1.96
xG Accuracy: 41%

AI correctly predicted the VfB Stuttgart win.

The match finished 4–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 VfB Stuttgart VfB Stuttgart ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 1-3 4-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices VfB Stuttgart higher than the statistical model.

Largest probability gap: VfB Stuttgart -18.0 pp

Outcome Model Closing Market Difference Signal
VfB Stuttgart 48.1% 66.1% -18.0 pp Market Higher
Draw 22.7% 18.7% +4.0 pp Aligned
1.FC Köln 29.2% 15.2% +14.0 pp Model Edge

The closing market estimates VfB Stuttgart's win probability at 66.1%, compared with the model's estimate of 48.1%, a difference of 18.0 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 (VfB Stuttgart win 4–1).

Market Assessment

The market is materially more optimistic about VfB Stuttgart 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 3.69) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 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 VfB Stuttgart higher (66.1% vs model 48.1%, 18.0 pp), but the model's lean was validated (VfB Stuttgart win 4–1).

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Prediction Timeline

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

  1. Sep 04, 2026 · 19:28 UTC Forecast generated
    • Model 1X2 · VfB Stuttgart 48.1% · Draw 22.7% · 1.FC Köln 29.2%
    • xG · VfB Stuttgart 1.73 — 1.FC Köln 1.96
  2. Sep 04, 2026 · 18:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · VfB Stuttgart 1.46 · Draw 5.17 · 1.FC Köln 6.35
    • Implied 1X2 · VfB Stuttgart 66.1% · Draw 18.7% · 1.FC Köln 15.2%
    • Bookmaker · Pinnacle
  3. Sep 04, 2026 · 18:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · VfB Stuttgart 1.46 · Draw 5.17 · 1.FC Köln 6.35
    • Implied 1X2 · VfB Stuttgart 66.1% · Draw 18.7% · 1.FC Köln 15.2%
    • Bookmaker · Pinnacle
  4. Sep 04, 2026 · 18:30 UTC Kickoff
  5. FT Full-time result VfB Stuttgart win · 4–1
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 10/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 29, 2026 · 02:52 UTC Snapshot ID: dp-5928444

Closing Odds 1.46
AI Fair Odds —
CLV Pending
Final Result VfB Stuttgart win · VfB Stuttgart 4–1 1.FC Köln
Prediction ✔ Correct
Decision Grade A

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

Quick read on how the model reads this matchup.

  • League: Bundesliga
  • Fixture: VfB Stuttgart vs 1.FC Köln
  • Kickoff: 2026-09-04 18:30:00
  • 1X2 (model): Home 48.1% · Draw 22.7% · Away 29.2%
  • xG (showing): VfB Stuttgart 1.73 — 1.FC Köln 1.96 (total xG ≈ 3.69)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 28.7% · Over 2.5 71.3%); BTTS Yes (Yes 71.8% · No 28.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 71.8% · No 28.2%
  • Correct score (top bin): 1-1 (8.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 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