Model: TIPPSH
Dingnan Jiangxi United – Changchun Yatai
PREDICTION
1
@ 2.94
StatusArchived prediction
KickoffMag 09, 2026 3:30 PM
ResultLOSS2 - 3
StartStarted 17d 11h ago
V2 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
V4 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
Confidence bands summarize the historical reliability of similar model predictions. ROI and sample size refer to previous tips in the same model profile.
Updated Updated 17d 18h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Dingnan Jiangxi United | Changchun Yatai |
|---|---|---|
| Last 5 form | L-D-W-W-D | W-L-L-W-W |
| Avg goals scored | 1.40 | 2.00 |
| Avg goals conceded | 1.20 | 1.80 |
| Home/Away form | L-D-D (home) | W-L-W (away) |
| Home/Away avg goals | 1.33 scored / 1.67 conceded | 2.33 scored / 2.00 conceded |
| Shots on target | 6.00 for / 5.00 against | 4.80 for / 4.20 against |
| Home/Away shots on target | 6.00 for / 5.00 against (home) | 5.33 for / 3.00 against (away) |
AI Match Insight
The market prices Dingnan Jiangxi United as an outsider, but recent form does not suggest a gap wide enough to completely dismiss the selection. This selection carries a lower-confidence signal, so the risk profile remains elevated. Dingnan Jiangxi United has produced stronger recent offensive pressure in terms of shots on target.
Odds history (MaxOdd + StochasticOdds)
Start odds2.57First seen
Current2.94Now
Max odds2.94Highest point
Min odds2.57Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Dingnan Jiangxi United – Changchun Yatai Betting Analysis
The model currently selects 1 at odds 2.94. This prediction is generated by the TIPPSH model profile. The odds history chart above summarizes market movement, volatility and the latest available price before kickoff. The bookmaker panel currently monitored by StochasticBet includes Bet365, Pinnacle, Bwin, Unibet and 1XBet. The market moved significantly against the initial model price before kickoff. Historically, large late odds increases may indicate external factors not fully captured by the statistical framework. High pre-match volatility suggests increased uncertainty and rapidly changing market conditions. Model performance can deteriorate during unstable football calendar phases, such as early-season matches, post-international-break rounds and late-season fixtures with unusual motivation or rotation patterns.
Pick
1 @ 2.94
Kickoff
Mag 09, 2026 3:30 PM
Confidence
CONF: ?
Start
Started 17d 11h ago
Updated
Updated 17d 18h ago