Predictions / Football / Moldova. Super Liga / Petrocub vs Sireți

Prediction Audit: Petrocub vs Sireți Prediction, Odds & AI Betting Tips

Petrocub Petrocub
Sep 12, 2026 - 16:00
2 1.55
1 1.05
xG Accuracy: 87%
Sireți Sireți

AI correctly predicted the Petrocub win.

The match finished 2–1, 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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Petrocub Petrocub ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Petrocub higher than the statistical model.

Largest probability gap: Petrocub -24.6 pp

Outcome Model Closing Market Difference Signal
Petrocub 47.3% 71.9% -24.6 pp Market Higher
Draw 28.6% 17.6% +11.0 pp Model Edge
Sireți 24.1% 10.6% +13.6 pp Model Edge

The closing market estimates Petrocub's win probability at 71.9%, compared with the model's estimate of 47.3%, a difference of 24.6 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: PRE5.

After full time, the model's directional lean matched the result (Petrocub win 2–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Petrocub attacking xG significantly stronger (1.55 vs 1.05)
  • 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 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Petrocub higher (71.9% vs model 47.3%, 24.6 pp), but the model's lean was validated (Petrocub win 2–1).

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Prediction Timeline

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

  1. Sep 12, 2026 · 15:58 UTC Forecast generated
    • Model 1X2 · Petrocub 47.3% · Draw 28.5% · Sireți 24.1%
    • xG · Petrocub 1.55 — Sireți 1.05
  2. Sep 12, 2026 · 15:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Petrocub 1.23 · Draw 5.03 · Sireți 8.38
    • Implied 1X2 · Petrocub 71.9% · Draw 17.6% · Sireți 10.6%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 15:58 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Petrocub 1.23 · Draw 5.03 · Sireți 8.38
    • Implied 1X2 · Petrocub 71.9% · Draw 17.6% · Sireți 10.6%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Petrocub win · 2–1
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:39 UTC Snapshot ID: dp-7464614

Closing Odds 1.23
AI Fair Odds —
CLV Pending
Final Result Petrocub win · Petrocub 2–1 Sireți
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: Super Liga
  • Fixture: Petrocub vs Sireți
  • Kickoff: 2026-09-12 16:00:00
  • 1X2 (model): Home 47.3% · Draw 28.5% · Away 24.1%
  • xG (showing): Petrocub 1.55 — Sireți 1.05 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 52.8% · No 47.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 52.8% · No 47.2%
  • Correct score (top bin): 1-1 (12.1%)

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: 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 28, 2026 (UTC)

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Super Liga Super Liga — Standings
# TEAM MP W D L PTS
1 Sheriff Tiraspol 13 8 4 1 28
2 Zimbru 13 8 2 3 26
3 Petrocub 13 7 3 3 24
4 Dacia-Buiucani 13 6 2 5 20
5 Milsami Orhei 13 4 5 4 17
6 Politehnica UTM 13 4 3 6 15
7 Sireți 13 0 7 6 7
8 CSF Bălți 13 1 2 10 5
# TEAM MP GS GC +/- PTS
1 Sheriff Tiraspol 13 32 10 +22 28
2 Zimbru 13 27 12 +15 26
3 Petrocub 13 24 13 +11 24
4 Politehnica UTM 13 18 19 -1 15
5 Dacia-Buiucani 13 17 16 +1 20
6 Milsami Orhei 13 13 17 -4 17
7 CSF Bălți 13 9 42 -33 5
8 Sireți 13 8 19 -11 7