Predictions / Football / Germany. Bundesliga / FC St. Pauli vs VfL Wolfsburg

Prediction Audit: FC St. Pauli vs VfL Wolfsburg Prediction, Odds & AI Betting Tips

FC St. Pauli FC St. Pauli
May 16, 2026 - 13:30
1 1.21
3 1.20
xG Accuracy: 58%
VfL Wolfsburg VfL Wolfsburg

The model missed the final outcome (VfL Wolfsburg win 1–3).

The model had projected FC St. Pauli at 34.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 FC St. Pauli VfL Wolfsburg ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 1-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +4.3 pp

Outcome Model Closing Market Difference Signal
FC St. Pauli 34.8% 35.6% -0.9 pp Aligned
Draw 31.0% 26.6% +4.3 pp Aligned
VfL Wolfsburg 34.3% 37.7% -3.4 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 VfL Wolfsburg win 1–3.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

The full-time result was VfL Wolfsburg win 1–3, which did not match the model's pre-match lean on 1X2.

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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 · FC St. Pauli 34.8% · Draw 31.0% · VfL Wolfsburg 34.3%
    • xG · FC St. Pauli 1.21 — VfL Wolfsburg 1.20
  2. May 16, 2026 · 13:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC St. Pauli 2.73 · Draw 3.65 · VfL Wolfsburg 2.58
    • Implied 1X2 · FC St. Pauli 35.6% · Draw 26.6% · VfL Wolfsburg 37.7%
    • Bookmaker · Pinnacle
  3. May 16, 2026 · 13:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · FC St. Pauli 2.73 · Draw 3.65 · VfL Wolfsburg 2.58
    • Implied 1X2 · FC St. Pauli 35.6% · Draw 26.6% · VfL Wolfsburg 37.7%
    • Bookmaker · Pinnacle
  4. May 16, 2026 · 13:30 UTC Kickoff
  5. FT Full-time result VfL Wolfsburg win · 1–3
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 27/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 28, 2026 · 02:05 UTC Snapshot ID: dp-2115447

Closing Odds 3.65
AI Fair Odds —
CLV Pending
Final Result VfL Wolfsburg win · FC St. Pauli 1–3 VfL Wolfsburg
Prediction ✖ Missed
Decision Grade F

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

Pre-match snapshot for this fixture.

  • League: Bundesliga
  • Fixture: FC St. Pauli vs VfL Wolfsburg
  • Kickoff: 2026-05-16 13:30:00
  • 1X2 (model): Home 34.8% · Draw 31.0% · Away 34.3%
  • xG (showing): FC St. Pauli 1.21 — VfL Wolfsburg 1.2 (total xG ≈ 2.41)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 56.7% · Implied: 44.0% · Probability edge: +12.7 pts · Est. EV: +26.4%
  • BTTS (model): Yes 50.7% · No 49.3%
  • Correct score (top bin): 1-1 (13.0%)

Totals and BTTS are evaluated against current market prices where available.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Monitor

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 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