Predictions / Football / China. League Two / BIT vs Dalian Kewei

Prediction Audit: BIT vs Dalian Kewei Prediction, Odds & AI Betting Tips

BIT BIT
Jul 18, 2026 - 11:00
0 1.32
1 1.28
xG Accuracy: 64%
⚽
Dalian Kewei

AI correctly predicted the Dalian Kewei win.

The match finished 0–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Dalian Kewei Dalian Kewei ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Dalian Kewei higher than the statistical model.

Largest probability gap: Dalian Kewei -22.6 pp

Outcome Model Closing Market Difference Signal
BIT 26.4% 10.5% +15.9 pp Model Edge
Draw 29.2% 22.5% +6.8 pp Model Higher
Dalian Kewei 44.4% 67.0% -22.6 pp Market Higher

The closing market estimates Dalian Kewei's win probability at 67.0%, compared with the model's estimate of 44.4%, a difference of 22.6 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 model's directional lean matched the result (Dalian Kewei win 0–1).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Dalian Kewei higher (67.0% vs model 44.4%, 22.6 pp), but the model's lean was validated (Dalian Kewei win 0–1).

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Prediction Timeline

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

  1. Jul 18, 2026 · 19:50 UTC Forecast generated
    • Model 1X2 · BIT 26.4% · Draw 29.2% · Dalian Kewei 44.4%
    • xG · BIT 1.32 — Dalian Kewei 1.28
  2. Jul 18, 2026 · 10:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · BIT 8.60 · Draw 4.02 · Dalian Kewei 1.35
    • Implied 1X2 · BIT 10.5% · Draw 22.5% · Dalian Kewei 67.0%
    • Bookmaker · Pinnacle
  3. Jul 18, 2026 · 10:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · BIT 8.60 · Draw 4.02 · Dalian Kewei 1.35
    • Implied 1X2 · BIT 10.5% · Draw 22.5% · Dalian Kewei 67.0%
    • Bookmaker · Pinnacle
  4. Jul 18, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Dalian Kewei win · 0–1
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (23 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 02:50 UTC Snapshot ID: dp-1538117

Closing Odds 1.35
AI Fair Odds —
CLV Pending
Final Result Dalian Kewei win · BIT 0–1 Dalian Kewei
Prediction ✔ Correct
Decision Grade B-

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: China League Two
  • Fixture: BIT vs Dalian Kewei
  • Kickoff: 2026-07-18 11:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): BIT 1.32 — Dalian Kewei 1.28 (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

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: Wait

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 29, 2026 (UTC)

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