Model: TIPPSH
Tai’an Tiankuang – Lanzhou Longyuan Athletic
PREDICTION
1
@ 2.24
StatusArchived prediction
KickoffApr 25, 2026 11:30 AM
ResultLOSS0 - 0
StartStarted 31d 18h 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 31d 20h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Tai'an Tiankuang | Lanzhou Longyuan Athletic |
|---|---|---|
| Last 5 form | D-L-L-W-W | D-W-L-D-D |
| Avg goals scored | 1.00 | 1.20 |
| Avg goals conceded | 1.00 | 1.20 |
| Home/Away form | D-W-W (home) | D-W-D-D (away) |
| Home/Away avg goals | 1.33 scored / 0.67 conceded | 1.50 scored / 0.75 conceded |
| Shots on target | 4.60 for / 2.00 against | 1.00 for / 2.00 against |
| Home/Away shots on target | 6.33 for / 1.67 against (home) | 0.50 for / 2.50 against (away) |
AI Match Insight
The matchup looks relatively balanced, so the value of the pick depends more on the model profile than on a clear form advantage. The model does not assign a strong confidence profile here, making the pick more speculative. Tai'an Tiankuang is also generating more shots on target, adding offensive support to the pick.
Odds history (MaxOdd + StochasticOdds)
Start odds1.83First seen
Current2.24Now
Max odds2.24Highest point
Min odds1.83Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Tai’an Tiankuang – Lanzhou Longyuan Athletic Betting Analysis
The model currently selects 1 at odds 2.24. 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 @ 2.24
Kickoff
Apr 25, 2026 11:30 AM
Confidence
CONF: ?
Start
Started 31d 18h ago
Updated
Updated 31d 20h ago