Predictions / Football / China. League One / Nanjing City vs Wuxi Wugou

Prediction Audit: Nanjing City vs Wuxi Wugou Prediction, Odds & AI Betting Tips

Nanjing City Nanjing City
Sep 19, 2026 - 11:30
0 1.36
3 1.24
xG Accuracy: 42%
Wuxi Wugou Wuxi Wugou

The model missed the final outcome (Wuxi Wugou win 0–3).

The model had projected Nanjing City at 38.0%, 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 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Nanjing City Wuxi Wugou ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Wuxi Wugou +4.8 pp

Outcome Model Closing Market Difference Signal
Nanjing City 38.0% 42.6% -4.6 pp Aligned
Draw 29.6% 29.9% -0.3 pp Aligned
Wuxi Wugou 32.4% 27.6% +4.8 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Wuxi Wugou win 0–3.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Over 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 Nanjing City; match finished Wuxi Wugou

Market lesson

The full-time result was Wuxi Wugou win 0–3, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Sep 19, 2026 · 11:29 UTC Forecast generated
    • Model 1X2 · Nanjing City 38.0% · Draw 29.6% · Wuxi Wugou 32.4%
    • xG · Nanjing City 1.36 — Wuxi Wugou 1.24
  2. Sep 19, 2026 · 11:03 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nanjing City 2.18 · Draw 3.11 · Wuxi Wugou 3.37
    • Implied 1X2 · Nanjing City 42.6% · Draw 29.9% · Wuxi Wugou 27.6%
    • Bookmaker · Pinnacle
  3. Sep 19, 2026 · 11:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nanjing City 2.18 · Draw 3.11 · Wuxi Wugou 3.37
    • Implied 1X2 · Nanjing City 42.6% · Draw 29.9% · Wuxi Wugou 27.6%
    • Bookmaker · Pinnacle
  4. Sep 19, 2026 · 11:30 UTC Kickoff
  5. FT Full-time result Wuxi Wugou win · 0–3
  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 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 75/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:07 UTC Snapshot ID: dp-8661640

Closing Odds 3.37
AI Fair Odds —
CLV Pending
Final Result Wuxi Wugou win · Nanjing City 0–3 Wuxi Wugou
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: League One
  • Fixture: Nanjing City vs Wuxi Wugou
  • Kickoff: 2026-09-19 11:30:00
  • 1X2 (model): Home 38.0% · Draw 29.6% · Away 32.4%
  • xG (showing): Nanjing City 1.36 — Wuxi Wugou 1.24 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.2%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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: 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 01, 2026 (UTC)

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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
League One China. League One Predictions