Statistics / Football / China. League One / Guangzhou E-Power vs Shaanxi Union

Guangzhou E-Power vs Shaanxi Union Statistics & Analysis

Guangzhou E-Power Guangzhou E-Power
Jun 27, 2026 - 11:30
2 1.37
1 1.23
xG Accuracy: 79%
Shaanxi Union Shaanxi Union
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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Guangzhou E-Power Guangzhou E-Power ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 19:34 UTC Snapshot ID: dp-1922541

Closing Odds 2.01
AI Fair Odds —
CLV +0.0%
Final Result Guangzhou E-Power win · Guangzhou E-Power 2–1 Shaanxi Union
Prediction ✔ Correct
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

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Shaanxi Union (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Shaanxi Union (1X2) by about 5.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Guangzhou E-Power (1X2) 38.5 46.1 -7.7
Draw (1X2) 29.6 27.3 +2.3
Shaanxi Union (1X2) 31.9 26.6 +5.4
Over 2.5 goals 48.2 52.5 -4.3
Under 2.5 goals 51.8 47.5 +4.3
What this means

In plain terms: the model lands near 31.9% on Shaanxi Union (1X2), while the closing snapshot implied about 26.6%. The difference — about 5.4 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.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Guangzhou E-Power (1X2) 2.01 2.01 0.0
Draw (1X2) 3.4 3.4 0.0
Shaanxi Union (1X2) 3.49 3.49 0.0
Over 2.5 goals 1.81 1.81 0.0
Under 2.5 goals 2.0 2.0 0.0

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: Guangzhou E-Power vs Shaanxi Union
  • Kickoff: 2026-06-27 11:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Guangzhou E-Power 1.37 — Shaanxi Union 1.23 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 49.4% · Probability edge: +2.5 pts · Est. EV: +3.6%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: No Primary Bet

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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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