Prediction Audit: Rapid Vienna vs Paide Prediction, Odds & AI Betting Tips

Aug 12, 2026 - 16:00
2 1.36
0 1.24
xG Accuracy: 60%

AI correctly predicted the Rapid Vienna win.

The match finished 2–0, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Rapid Vienna Rapid Vienna ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Rapid Vienna higher than the statistical model.

Largest probability gap: Rapid Vienna -44.8 pp

Outcome Model Closing Market Difference Signal
Rapid Vienna 38.0% 82.8% -44.8 pp Market Higher
Draw 29.6% 10.9% +18.7 pp Model Edge
Paide 32.4% 6.3% +26.1 pp Model Edge

The closing market estimates Rapid Vienna's win probability at 82.8%, compared with the model's estimate of 38.0%, a difference of 44.8 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 model's directional lean matched the result (Rapid Vienna win 2–0).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 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 Rapid Vienna higher (82.8% vs model 38.0%, 44.8 pp), but the model's lean was validated (Rapid Vienna win 2–0).

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Prediction Timeline

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

  1. Aug 12, 2026 · 15:59 UTC Forecast generated
    • Model 1X2 · Rapid Vienna 38.0% · Draw 29.6% · Paide 32.4%
    • xG · Rapid Vienna 1.36 — Paide 1.24
  2. Aug 12, 2026 · 15:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rapid Vienna 1.11 · Draw 8.41 · Paide 14.66
    • Implied 1X2 · Rapid Vienna 82.8% · Draw 10.9% · Paide 6.3%
    • Bookmaker · Pinnacle
  3. Aug 12, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rapid Vienna 1.11 · Draw 8.41 · Paide 14.66
    • Implied 1X2 · Rapid Vienna 82.8% · Draw 10.9% · Paide 6.3%
    • Bookmaker · Pinnacle
  4. Aug 12, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Rapid Vienna win · 2–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 27/100 · Low
  • Validation: Fail
  • Large market gap (45 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 7/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 06, 2026 · 01:15 UTC Snapshot ID: dp-3092577

Closing Odds 1.11
AI Fair Odds —
CLV Pending
Final Result Rapid Vienna win · Rapid Vienna 2–0 Paide
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

Model favours Rapid Vienna; market prices Rapid Vienna instead — inputs may be missing or stale.

  • Model: Rapid Vienna 1.36 xG vs Paide 1.24 → Rapid Vienna 38.0%
  • Market: Rapid Vienna ~82.8% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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

September 29, 2026 (UTC)

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UEFA Europa Conference League UEFA Europa Conference League — Standings
# TEAM MP W D L PTS
1 Aarhus 0 0 0 0 0
2 Ajax 0 0 0 0 0
3 Atalanta 0 0 0 0 0
4 Borac Banja Luka 0 0 0 0 0
5 SC Braga 0 0 0 0 0
6 Brann 0 0 0 0 0
7 Brighton 0 0 0 0 0
8 FC Copenhagen 0 0 0 0 0
9 FK Crvena Zvezda 0 0 0 0 0
10 CSKA Sofia 0 0 0 0 0
11 Egnatia Rrogozhinë 0 0 0 0 0
12 SC Freiburg 0 0 0 0 0
13 Gent 0 0 0 0 0
14 Getafe 0 0 0 0 0
15 HNK Hajduk Split 0 0 0 0 0
16 Heart Of Midlothian 0 0 0 0 0
17 Saburtalo 0 0 0 0 0
18 Inter Club d'Escaldes 0 0 0 0 0
19 FK Jablonec 0 0 0 0 0
20 Kairat Almaty 0 0 0 0 0
21 Kauno Žalgiris 0 0 0 0 0
22 KuPS 0 0 0 0 0
23 Lincoln Red Imps FC 0 0 0 0 0
24 FC Lugano 0 0 0 0 0
25 FC Midtjylland 0 0 0 0 0
26 Mjallby AIF 0 0 0 0 0
27 Monaco 0 0 0 0 0
28 FC Nordsjaelland 0 0 0 0 0
29 Pafos 0 0 0 0 0
30 Panathinaikos 0 0 0 0 0
31 Riga 0 0 0 0 0
32 St. Truiden 0 0 0 0 0
33 FC Thun 0 0 0 0 0
34 Trabzonspor 0 0 0 0 0
35 Twente 0 0 0 0 0
36 Universitatea Craiova 0 0 0 0 0
# TEAM MP GS GC +/- PTS
1 Aarhus 0 0 0 0 0
2 Ajax 0 0 0 0 0
3 Atalanta 0 0 0 0 0
4 Borac Banja Luka 0 0 0 0 0
5 SC Braga 0 0 0 0 0
6 Brann 0 0 0 0 0
7 Brighton 0 0 0 0 0
8 FC Copenhagen 0 0 0 0 0
9 FK Crvena Zvezda 0 0 0 0 0
10 CSKA Sofia 0 0 0 0 0
11 Egnatia Rrogozhinë 0 0 0 0 0
12 SC Freiburg 0 0 0 0 0
13 Gent 0 0 0 0 0
14 Getafe 0 0 0 0 0
15 HNK Hajduk Split 0 0 0 0 0
16 Heart Of Midlothian 0 0 0 0 0
17 Saburtalo 0 0 0 0 0
18 Inter Club d'Escaldes 0 0 0 0 0
19 FK Jablonec 0 0 0 0 0
20 Kairat Almaty 0 0 0 0 0
21 Kauno Žalgiris 0 0 0 0 0
22 KuPS 0 0 0 0 0
23 Lincoln Red Imps FC 0 0 0 0 0
24 FC Lugano 0 0 0 0 0
25 FC Midtjylland 0 0 0 0 0
26 Mjallby AIF 0 0 0 0 0
27 Monaco 0 0 0 0 0
28 FC Nordsjaelland 0 0 0 0 0
29 Pafos 0 0 0 0 0
30 Panathinaikos 0 0 0 0 0
31 Riga 0 0 0 0 0
32 St. Truiden 0 0 0 0 0
33 FC Thun 0 0 0 0 0
34 Trabzonspor 0 0 0 0 0
35 Twente 0 0 0 0 0
36 Universitatea Craiova 0 0 0 0 0