Prediction Audit: Macara vs Emelec Prediction, Odds & AI Betting Tips

Sep 13, 2026 - 20:30
1 1.15
0 1.21
xG Accuracy: 69%

The model missed the final outcome (Macara win 1–0).

The model had projected Emelec at 35.8%, 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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Emelec Macara ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Macara higher than the statistical model.

Largest probability gap: Macara -17.3 pp

Outcome Model Closing Market Difference Signal
Macara 32.9% 50.2% -17.3 pp Market Higher
Draw 31.3% 28.7% +2.7 pp Aligned
Emelec 35.8% 21.1% +14.7 pp Model Edge

The closing market estimates Macara's win probability at 50.2%, compared with the model's estimate of 32.9%, a difference of 17.3 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 result was Macara win 1–0.

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 worked

  • Exact score 1–0 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 (1 goals)

Market lesson

The closing market differed from the model on Emelec by 17.3 percentage points (53.1% vs model 35.8%) — 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 13, 2026 · 20:29 UTC Forecast generated
    • Model 1X2 · Macara 32.9% · Draw 31.3% · Emelec 35.8%
    • xG · Macara 1.15 — Emelec 1.21
  2. Sep 13, 2026 · 19:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Macara 1.81 · Draw 3.40 · Emelec 4.82
    • Implied 1X2 · Macara 52.4% · Draw 27.9% · Emelec 19.7%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 20:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Macara 1.89 · Draw 3.31 · Emelec 4.49
    • Implied 1X2 · Macara 50.2% · Draw 28.7% · Emelec 21.1%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 20:30 UTC Kickoff
  5. FT Full-time result Macara win · 1–0
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (17 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 4/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:21 UTC Snapshot ID: dp-7459705

Closing Odds 1.89
AI Fair Odds —
CLV Pending
Final Result Macara win · Macara 1–0 Emelec
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

Pre-match snapshot for this fixture.

  • League: Liga Pro
  • Fixture: Macara vs Emelec
  • Kickoff: 2026-09-13 20:30:00
  • 1X2 (model): Home 32.9% · Draw 31.3% · Away 35.8%
  • xG (showing): Macara 1.15 — Emelec 1.21 (total xG ≈ 2.36)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Emelec
  • Model: 35.8% · Implied: 21.1% · Probability edge: +14.7 pts · Est. EV: +5.2%
  • BTTS (model): Yes 49.7% · No 50.3%
  • Correct score (top bin): 1-1 (13.1%)

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.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Monitor

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 28, 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