Predictions / Football / Ecuador. Liga Pro / Manta FC vs Aucas

Prediction Audit: Manta FC vs Aucas Prediction, Odds & AI Betting Tips

Sep 12, 2026 - 19:00
0 1.07
0 1.20
xG Accuracy: 54%

The model missed the final outcome (Draw 0–0).

The model had projected Aucas at 37.2%, 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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Aucas Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 0-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Aucas higher than the statistical model.

Largest probability gap: Aucas -6.6 pp

Outcome Model Closing Market Difference Signal
Manta FC 30.8% 26.6% +4.2 pp Aligned
Draw 32.0% 29.6% +2.3 pp Aligned
Aucas 37.2% 43.8% -6.6 pp Market Higher

The closing market estimates Aucas's win probability at 43.8%, compared with the model's estimate of 37.2%, a difference of 6.6 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: PRE1.

After full time, the result was Draw 0–0.

Market Assessment

The market and model broadly agree on Aucas. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Exact score 0–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)

Market lesson

The closing market differed from the model on Aucas by 6.6 percentage points (43.8% vs model 37.2%) — 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 12, 2026 · 19:00 UTC Forecast generated
    • Model 1X2 · Manta FC 30.8% · Draw 31.9% · Aucas 37.3%
    • xG · Manta FC 1.07 — Aucas 1.20
  2. Sep 12, 2026 · 18:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Manta FC 3.58 · Draw 3.21 · Aucas 2.17
    • Implied 1X2 · Manta FC 26.6% · Draw 29.6% · Aucas 43.8%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 19:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Manta FC 3.58 · Draw 3.21 · Aucas 2.17
    • Implied 1X2 · Manta FC 26.6% · Draw 29.6% · Aucas 43.8%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 67/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:21 UTC Snapshot ID: dp-7459727

Closing Odds 2.17
AI Fair Odds —
CLV Pending
Final Result Draw · Manta FC 0–0 Aucas
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Liga Pro
  • Fixture: Manta FC vs Aucas
  • Kickoff: 2026-09-12 19:00:00
  • 1X2 (model): Home 30.8% · Draw 31.9% · Away 37.3%
  • xG (showing): Manta FC 1.07 — Aucas 1.2 (total xG ≈ 2.27)
  • Value headline: None (actionable) — best tracked EV is about +1.8%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 60.4% · Over 2.5 39.6%); BTTS No (Yes 47.6% · No 52.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 47.6% · No 52.4%
  • Correct score (top bin): 1-1 (13.3%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

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 30, 2026 (UTC)

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Liga Pro Liga Pro — Standings
# TEAM MP W D L PTS
1 Independiente del Valle 30 24 2 4 74
2 Universidad Catolica 30 14 9 7 51
3 Macara 30 15 6 9 51
4 Aucas 30 14 8 8 50
5 LDU de Quito 30 13 7 10 46
6 Barcelona SC 30 11 11 8 44
7 Libertad 30 11 8 11 41
8 Leones del Norte 30 10 9 11 39
9 Guayaquil City FC 30 10 9 11 39
10 Emelec 30 10 9 11 39
11 Mushuc Runa SC 30 9 11 10 38
12 Deportivo Cuenca 30 10 6 14 36
13 Orense SC 30 9 6 15 33
14 Tecnico Universitario 30 10 2 18 32
15 Delfin SC 30 7 7 16 28
16 Manta FC 30 5 6 19 21
# TEAM MP GS GC +/- PTS
1 Independiente del Valle 30 73 33 +40 74
2 Universidad Catolica 30 51 27 +24 51
3 Macara 30 41 33 +8 51
4 Orense SC 30 36 47 -11 33
5 Mushuc Runa SC 30 35 38 -3 38
6 Aucas 30 33 28 +5 50
7 Libertad 30 33 34 -1 41
8 Guayaquil City FC 30 33 36 -3 39
9 Barcelona SC 30 32 25 +7 44
10 LDU de Quito 30 31 24 +7 46
11 Leones del Norte 30 31 32 -1 39
12 Tecnico Universitario 30 28 42 -14 32
13 Emelec 30 25 34 -9 39
14 Deportivo Cuenca 30 25 37 -12 36
15 Delfin SC 30 19 31 -12 28
16 Manta FC 30 17 42 -25 21
# TEAM MP xG xGC +/- PTS
1 Emelec 30 3.0 0.8 +2.2 39
2 Universidad Catolica 30 3.5 1.6 +1.9 51
3 Aucas 30 2.9 1.6 +1.3 50
4 LDU de Quito 30 4.2 3.1 +1.1 46
5 Macara 30 3.0 2.0 +1.0 51
6 Leones del Norte 30 2.6 1.9 +0.7 39
7 Mushuc Runa SC 30 2.3 1.7 +0.6 38
8 Delfin SC 30 1.7 1.4 +0.3 28
9 Guayaquil City FC 30 1.4 1.7 -0.3 39
10 Barcelona SC 30 3.4 4.1 -0.7 44
11 Manta FC 30 0.5 1.3 -0.8 21
12 Tecnico Universitario 30 0.6 1.7 -1.1 32
13 Libertad 30 0.3 2.0 -1.7 41
14 Deportivo Cuenca 30 3.3 5.3 -2.0 36
15 Orense SC 30 0.6 2.9 -2.3 33
16 Independiente del Valle 30 — — — 74