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

Shaanxi Union vs Suzhou Dongwu Statistics & Analysis

Shaanxi Union Shaanxi Union
Sep 19, 2026 - 11:00
2 1.35
2 1.25
xG Accuracy: 68%
Suzhou Dongwu Suzhou Dongwu
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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

Validation Report

Immutable Snapshot

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

Closing Odds 1.7
AI Fair Odds —
CLV +0.0%
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%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

The largest late implied swing on this feed was about 4.46 percentage points on Shaanxi Union (1X2) between PRE30 and PRE1.

The model still exceeds closing implied on Suzhou Dongwu (1X2) by about 13.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Shaanxi Union (1X2) 37.6 54.6 -17.0
Draw (1X2) 29.6 25.6 +4.0
Suzhou Dongwu (1X2) 32.9 19.9 +13.0
Over 2.5 goals 48.2 52.0 -3.8
Under 2.5 goals 51.8 48.0 +3.8
What this means

In plain terms: the model lands near 32.9% on Suzhou Dongwu (1X2), while the closing snapshot implied about 19.9%. The difference — about 13.0 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Shaanxi Union (1X2) 1.57 1.7 -4.5
Draw (1X2) 3.88 3.63 +1.7
Suzhou Dongwu (1X2) 5.43 4.67 +2.8
Over 2.5 goals 1.76 1.83 -1.6
Under 2.5 goals 2.03 1.98 +1.6

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: 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

September 30, 2026 (UTC)

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Back to Statistics
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