Predictions / Football / China. League Two / Xi'an Ronghai vs Dalian Kewei

Prediction Audit: Xi'an Ronghai vs Dalian Kewei Prediction, Odds & AI Betting Tips

Xi'an Ronghai Xi'an Ronghai
Jul 08, 2026 - 08:00
2 1.23
0 1.37
xG Accuracy: 56%
⚽
Dalian Kewei

The model missed the final outcome (Xi'an Ronghai win 2–0).

The model had projected Dalian Kewei at 38.5%, 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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Dalian Kewei Xi'an Ronghai ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Draw higher than the statistical model.

Largest probability gap: Draw -5.5 pp

Outcome Model Closing Market Difference Signal
Xi'an Ronghai 31.9% 27.4% +4.5 pp Aligned
Draw 29.6% 35.1% -5.5 pp Market Higher
Dalian Kewei 38.5% 37.5% +1.0 pp Aligned

The closing market estimates Draw's win probability at 35.1%, compared with the model's estimate of 29.6%, a difference of 5.5 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 Xi'an Ronghai win 2–0.

Market Assessment

The market and model broadly agree on Draw. 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

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Dalian Kewei; match finished Xi'an Ronghai

Market lesson

The closing market differed from the model on Dalian Kewei by 5.5 percentage points (44.0% vs model 38.5%) — 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. Jul 08, 2026 · 19:14 UTC Forecast generated
    • Model 1X2 · Xi'an Ronghai 31.9% · Draw 29.6% · Dalian Kewei 38.5%
    • xG · Xi'an Ronghai 1.23 — Dalian Kewei 1.37
  2. Jul 08, 2026 · 07:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Xi'an Ronghai 3.28 · Draw 2.56 · Dalian Kewei 2.40
    • Implied 1X2 · Xi'an Ronghai 27.4% · Draw 35.1% · Dalian Kewei 37.5%
    • Bookmaker · Pinnacle
  3. Jul 08, 2026 · 07:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Xi'an Ronghai 3.28 · Draw 2.56 · Dalian Kewei 2.40
    • Implied 1X2 · Xi'an Ronghai 27.4% · Draw 35.1% · Dalian Kewei 37.5%
    • Bookmaker · Pinnacle
  4. Jul 08, 2026 · 08:00 UTC Kickoff
  5. FT Full-time result Xi'an Ronghai win · 2–0
  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
Market Compatibility 72/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 10:18 UTC Snapshot ID: dp-1586855

Closing Odds 2.56
AI Fair Odds —
CLV Pending
Final Result Xi'an Ronghai win · Xi'an Ronghai 2–0 Dalian Kewei
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: League Two
  • Fixture: Xi'an Ronghai vs Dalian Kewei
  • Kickoff: 2026-07-08 08:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Xi'an Ronghai 1.23 — Dalian Kewei 1.37 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

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

October 03, 2026 (UTC)

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