Predictions / Football / China. League One / Shaanxi Union vs Suzhou Dongwu

Prediction Audit: Shaanxi Union vs Suzhou Dongwu Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 11:00
2 1.35
2 1.25
xG Accuracy: 68%

The model missed the final outcome (Draw 2–2).

The model had projected Shaanxi Union at 37.5%, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Shaanxi Union Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Shaanxi Union higher than the statistical model.

Largest probability gap: Shaanxi Union -17.0 pp

Outcome Model Closing Market Difference Signal
Shaanxi Union 37.5% 54.6% -17.0 pp Market Higher
Draw 29.6% 25.6% +4.0 pp Aligned
Suzhou Dongwu 32.9% 19.9% +13.0 pp Model Edge

The closing market estimates Shaanxi Union's win probability at 54.6%, compared with the model's estimate of 37.5%, a difference of 17.0 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 Draw 2–2.

Market Assessment

The market is materially more optimistic about Shaanxi Union 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Shaanxi Union; match finished Draw

Market lesson

The closing market differed from the model on Shaanxi Union by 17.0 percentage points (54.5% vs model 37.5%) — 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. Sep 19, 2026 · 11:00 UTC Forecast generated
    • Model 1X2 · Shaanxi Union 37.6% · Draw 29.6% · Suzhou Dongwu 32.9%
    • xG · Shaanxi Union 1.35 — Suzhou Dongwu 1.25
  2. Sep 19, 2026 · 10:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Shaanxi Union 1.57 · Draw 3.88 · Suzhou Dongwu 5.43
    • Implied 1X2 · Shaanxi Union 59.0% · Draw 23.9% · Suzhou Dongwu 17.1%
    • Bookmaker · Pinnacle
  3. Sep 19, 2026 · 11:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Shaanxi Union 1.70 · Draw 3.63 · Suzhou Dongwu 4.67
    • Implied 1X2 · Shaanxi Union 54.6% · Draw 25.6% · Suzhou Dongwu 19.9%
    • Bookmaker · Pinnacle
  4. Sep 19, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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) 14/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 00:59 UTC Snapshot ID: dp-8659181

Closing Odds 1.7
AI Fair Odds —
CLV Pending
Final Result Draw · Shaanxi Union 2–2 Suzhou Dongwu
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 One
  • Fixture: Shaanxi Union vs Suzhou Dongwu
  • Kickoff: 2026-09-19 11:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Shaanxi Union 1.35 — Suzhou Dongwu 1.25 (total xG ≈ 2.6)
  • 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 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 30, 2026 (UTC)

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Back to Predictions
League One League One — Standings
# TEAM MP W D L PTS
1 Guangzhou E-Power 24 16 6 2 54
2 Guangxi Hengchen 24 13 6 5 45
3 Shenzhen Juniors 24 12 8 4 44
4 Nantong Zhiyun 23 10 9 4 39
5 Yanbian Longding 24 9 8 7 35
6 Shaanxi Union 23 9 6 8 33
7 Hebei Kungfu 24 8 7 9 31
8 Wuxi Wugou 23 8 5 10 29
9 Changchun Yatai 23 10 3 10 29
10 Ningbo Professional 23 9 5 9 29
11 Dalian Huayi 23 7 8 8 29
12 Suzhou Dongwu 24 7 8 9 26
13 Heilongjiang Lava Spring 24 4 11 9 23
14 Nanjing City 24 5 6 13 21
15 Meizhou Kejia 24 7 3 14 15
16 Dongguan United 24 2 7 15 13
# TEAM MP GS GC +/- PTS
1 Guangzhou E-Power 24 48 20 +28 54
2 Guangxi Hengchen 24 40 26 +14 45
3 Shenzhen Juniors 24 39 25 +14 44
4 Changchun Yatai 23 37 38 -1 29
5 Shaanxi Union 23 35 26 +9 33
6 Wuxi Wugou 23 35 29 +6 29
7 Heilongjiang Lava Spring 24 35 46 -11 23
8 Yanbian Longding 24 33 27 +6 35
9 Nantong Zhiyun 23 31 20 +11 39
10 Dalian Huayi 23 30 33 -3 29
11 Suzhou Dongwu 24 28 33 -5 26
12 Ningbo Professional 23 27 29 -2 29
13 Meizhou Kejia 24 25 50 -25 15
14 Dongguan United 24 24 49 -25 13
15 Hebei Kungfu 24 22 25 -3 31
16 Nanjing City 24 20 33 -13 21