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

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

Sep 02, 2026 - 19:00
4 1.27
3 1.02
xG Accuracy: 27%

AI correctly predicted the Macara win.

The match finished 4–3, validating the model's directional assessment.

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 Under 2.5 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Macara Macara ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 4-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Macara higher than the statistical model.

Largest probability gap: Macara -16.3 pp

Outcome Model Closing Market Difference Signal
Macara 47.5% 63.9% -16.3 pp Market Higher
Draw 29.4% 22.7% +6.7 pp Model Higher
Manta FC 23.1% 13.4% +9.6 pp Model Higher

The closing market estimates Macara's win probability at 63.9%, compared with the model's estimate of 47.5%, a difference of 16.3 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 (Macara win 4–3).

Market Assessment

The market is materially more optimistic about Macara 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 failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Macara higher (63.8% vs model 47.5%, 16.3 pp), but the model's lean was validated (Macara win 4–3).

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Prediction Timeline

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

  1. Sep 02, 2026 · 19:27 UTC Forecast generated
    • Model 1X2 · Macara 47.6% · Draw 29.4% · Manta FC 23.0%
    • xG · Macara 1.27 — Manta FC 1.02
  2. Sep 02, 2026 · 18:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Macara 1.47 · Draw 4.27 · Manta FC 7.05
    • Implied 1X2 · Macara 64.4% · Draw 22.2% · Manta FC 13.4%
    • Bookmaker · Pinnacle
  3. Sep 02, 2026 · 18:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Macara 1.48 · Draw 4.16 · Manta FC 7.04
    • Implied 1X2 · Macara 63.9% · Draw 22.7% · Manta FC 13.4%
    • Bookmaker · Pinnacle
  4. Sep 02, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Macara win · 4–3
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 55/100 · Moderate
  • Validation: Warning
  • Large market gap (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 18/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 27, 2026 · 02:37 UTC Snapshot ID: dp-5628003

Closing Odds 1.48
AI Fair Odds —
CLV Pending
Final Result Macara win · Macara 4–3 Manta FC
Prediction ✔ Correct
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: Macara vs Manta FC
  • Kickoff: 2026-09-02 19:00:00
  • 1X2 (model): Home 47.6% · Draw 29.4% · Away 23.0%
  • xG (showing): Macara 1.27 — Manta FC 1.02 (total xG ≈ 2.29)
  • 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 59.9% · Over 2.5 40.1%); BTTS No (Yes 47.7% · No 52.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 47.7% · No 52.3%
  • Correct score (top bin): 1-1 (13.1%)

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: Monitor

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 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