Predictions / Football / World. UEFA Europa Cup - Women / St. Pölten W vs Malmö FF W

Prediction Audit: St. Pölten W vs Malmö FF W Prediction, Odds & AI Betting Tips

St. Pölten W St. Pölten W
Sep 23, 2026 - 16:45
0 1.32
2 1.28
xG Accuracy: 57%
Malmö FF W Malmö FF W

The model missed the final outcome (Malmö FF W win 0–2).

The model had projected St. Pölten W at 36.1%, 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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 St. Pölten W Malmö FF W ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Malmö FF W higher than the statistical model.

Largest probability gap: Malmö FF W -11.8 pp

Outcome Model Closing Market Difference Signal
St. Pölten W 36.1% 28.2% +7.9 pp Model Higher
Draw 29.6% 25.7% +4.0 pp Aligned
Malmö FF W 34.2% 46.1% -11.8 pp Market Higher

The closing market estimates Malmö FF W's win probability at 46.1%, compared with the model's estimate of 34.2%, a difference of 11.8 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 result was Malmö FF W win 0–2.

Market Assessment

The market is materially more optimistic about Malmö FF W 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

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned St. Pölten W; match finished Malmö FF W
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on St. Pölten W by 11.8 percentage points (47.9% vs model 36.1%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 23, 2026 · 16:44 UTC Forecast generated
    • Model 1X2 · St. Pölten W 36.1% · Draw 29.7% · Malmö FF W 34.2%
    • xG · St. Pölten W 1.32 — Malmö FF W 1.28
  2. Sep 23, 2026 · 16:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · St. Pölten W 3.15 · Draw 3.46 · Malmö FF W 1.93
    • Implied 1X2 · St. Pölten W 28.2% · Draw 25.7% · Malmö FF W 46.1%
    • Bookmaker · Pinnacle
  3. Sep 23, 2026 · 16:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · St. Pölten W 3.15 · Draw 3.46 · Malmö FF W 1.93
    • Implied 1X2 · St. Pölten W 28.2% · Draw 25.7% · Malmö FF W 46.1%
    • Bookmaker · Pinnacle
  4. Sep 23, 2026 · 16:45 UTC Kickoff
  5. FT Full-time result Malmö FF W win · 0–2
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 14/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 17, 2026 · 01:32 UTC Snapshot ID: dp-9165748

Closing Odds 1.93
AI Fair Odds —
CLV Pending
Final Result Malmö FF W win · St. Pölten W 0–2 Malmö FF W
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

Pre-match snapshot for this fixture.

  • League: UEFA Europa Cup - Women
  • Fixture: St. Pölten W vs Malmö FF W
  • Kickoff: 2026-09-23 16:45:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): St. Pölten W 1.32 — Malmö FF W 1.28 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 42.0% · Probability edge: +9.8 pts · Est. EV: +23.3%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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

September 29, 2026 (UTC)

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