China Super Cup Predictions

Market Movements Statistics

The 2025/26 China Super Cup has captured widespread attention with its extraordinary goal-scoring rate and unique match trends. This season boasts an average of 5.00 goals per game, with both teams scoring (BTTS) and Over 2.5 goals hitting nearly 100%. Remarkably, home teams have a 0% win rate, while away teams dominate with a 100% win rate, showcasing the visitors' commanding performances. OddsGPT leverages xG (expected goals), Elo ratings, recent team form, and tactical compatibility to deliver daily updated, precise predictive analysis for the China Super Cup. This empowers users to quickly uncover match insights and seize valuable betting opportunities.

China Super Cup League Overview

China Super Cup (2025/26) is a high-scoring competition, averaging 5.00 goals per match in finished fixtures. With 100% of games going Over 2.5 and 100% BTTS, matches often favour open, attacking football rather than low-scoring grind-outs. Away wins land near 100%, so road form matters.

02-07

100%

02-07

Key Betting Angles

Over 2.5 goals has landed in about 100% of finished matches this season.
Both Teams To Score has hit in roughly 100% of games.
Average goals per match is 5.00 — useful as a baseline for totals markets.

Top Teams in China Super Cup

SHANGHAI SIPG — SHANGHAI SIPG is tracked for match-by-match AI predictions this season.

Shanghai Shenhua — Shanghai Shenhua is tracked for match-by-match AI predictions this season.

Upcoming Super Cup Predictions(0)

No predictions available for this period.

China Super Cup Betting & Prediction Guides

Want to understand how AI identifies value in China Super Cup matches? Explore our strategy guides:

Double Chance Strategy Guide - Learn when 1X or X2 markets offer lower-risk value.
Over 2.5 Explained - Understand how xG and goal distribution impact total goals markets.
China Super Cup xG Betting Guide - Discover how expected goals reveal hidden trends.
AI Prediction Accuracy Report - Review long-term performance and model methodology.