Statistics / Football / World. CAF Champions League / Songo vs Petro de Luanda

Songo vs Petro de Luanda Statistics & Analysis

Sep 06, 2026 - 13:00
0 1.25
1 1.35
xG Accuracy: 64%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Petro de Luanda Petro de Luanda ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:04 UTC Snapshot ID: dp-6356434

Closing Odds 1.83
AI Fair Odds —
CLV +0.0%
Final Result Petro de Luanda win · Songo 0–1 Petro de Luanda
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Songo (1X2), Over 2.5 goals, BTTS Yes meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on BTTS Yes by about 13.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Songo (1X2) 32.9 21.9 +10.9
Draw (1X2) 29.6 29.0 +0.6
Petro de Luanda (1X2) 37.6 49.1 -11.5
Over 2.5 goals 48.2 37.5 +10.7
Under 2.5 goals 51.8 62.5 -10.7
BTTS Yes 54.5 41.1 +13.4
BTTS No 45.5 58.9 -13.4
What this means

In plain terms: the model lands near 54.5% on BTTS Yes, while the closing snapshot implied about 41.1%. The difference — about 13.4 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE5 · Book: Bet365

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE5) Implied Δ (pp)
Songo (1X2) 4.1 4.1 0.0
Draw (1X2) 3.1 3.1 0.0
Petro de Luanda (1X2) 1.83 1.83 0.0
Over 2.5 goals 2.5 2.5 0.0
Under 2.5 goals 1.5 1.5 0.0
BTTS Yes 2.25 2.25 0.0
BTTS No 1.57 1.57 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: CAF Champions League
  • Fixture: Songo vs Petro de Luanda
  • Kickoff: 2026-09-06 13:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Songo 1.25 — Petro de Luanda 1.35 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 42.8% · Probability edge: +11.7 pts · Est. EV: +22.6%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Historical Recommendation

Historical Decision: Selective Lean - No Primary Bet

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 27, 2026 (UTC)

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