Predictions / Football / Ecuador. Liga Pro / Delfin SC vs Orense SC

Prediction Audit: Delfin SC vs Orense SC Prediction, Odds & AI Betting Tips

Aug 09, 2026 - 21:00
1 1.20
1 1.51
xG Accuracy: 82%

The model missed the final outcome (Draw 1–1).

The model had projected Orense SC at 42.8%, 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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Orense SC Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The model rates Orense SC considerably stronger than the closing betting market.

Largest probability gap: Orense SC +11.3 pp

Outcome Model Closing Market Difference Signal
Delfin SC 28.6% 35.7% -7.1 pp Market Higher
Draw 28.5% 32.8% -4.2 pp Aligned
Orense SC 42.8% 31.5% +11.3 pp Model Edge

The statistical model estimates Orense SC's win probability at 42.8%, compared with the closing market's implied probability of 31.5%, a difference of 11.3 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 1–1.

Market Assessment

The statistical fair estimate is materially higher than the market on Orense SC.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Orense SC; match finished Draw

Market lesson

The closing market differed from the model on Orense SC by 11.3 percentage points (31.5% vs model 42.8%) — 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. Aug 09, 2026 · 20:59 UTC Forecast generated
    • Model 1X2 · Delfin SC 28.6% · Draw 28.5% · Orense SC 42.9%
    • xG · Delfin SC 1.20 — Orense SC 1.51
  2. Aug 09, 2026 · 20:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Delfin SC 2.69 · Draw 2.90 · Orense SC 3.01
    • Implied 1X2 · Delfin SC 35.4% · Draw 32.9% · Orense SC 31.7%
    • Bookmaker · Pinnacle
  3. Aug 09, 2026 · 20:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Delfin SC 2.67 · Draw 2.91 · Orense SC 3.03
    • Implied 1X2 · Delfin SC 35.7% · Draw 32.8% · Orense SC 31.5%
    • Bookmaker · Pinnacle
  4. Aug 09, 2026 · 21:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 15/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 01:44 UTC Snapshot ID: dp-2969465

Closing Odds 3.03
AI Fair Odds —
CLV Pending
Final Result Draw · Delfin SC 1–1 Orense SC
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

Quick read on how the model reads this matchup.

  • League: Liga Pro
  • Fixture: Delfin SC vs Orense SC
  • Kickoff: 2026-08-09 21:00:00
  • 1X2 (model): Home 28.6% · Draw 28.5% · Away 42.9%
  • xG (showing): Delfin SC 1.2 — Orense SC 1.51 (total xG ≈ 2.71)
  • 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 Over 2.5 (Under 2.5 49.1% · Over 2.5 50.9%); BTTS Yes (Yes 56.0% · No 44.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 56.0% · No 44.0%
  • Correct score (top bin): 1-1 (12.1%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Prefer skipping to over-staking when the engine is honest about missing edge.

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