Shanghai Segenda – Beijing Institute

Model: TIPPSH

Shanghai Segenda – Beijing Institute

PREDICTION
1
@ 1.85
StatusArchived prediction
KickoffMag 23, 2026 11:30 AM
ResultLOSS0 - 1
StartStarted 3d 16h ago
V2 ConfidenceLOWExpected ROI 1.04% · n=5438
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 3d 18h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Shanghai Segenda Beijing Institute
Last 5 form L-W-W-W-L W-D-D-D-D
Avg goals scored 1.00 1.00
Avg goals conceded 0.80 0.80
Home/Away form L-W-W-D-W (home) W-D-D-D-L (away)
Home/Away avg goals 1.00 scored / 0.60 conceded 1.00 scored / 1.00 conceded
Shots on target 2.40 for / 2.60 against 1.80 for / 3.20 against
Home/Away shots on target 2.00 for / 3.00 against (home) 2.40 for / 4.80 against (away)

AI Match Insight

This looks like a competitive matchup, although the form profile gives the selected side some support. The model does not assign a strong confidence profile here, making the pick more speculative.

Odds history (MaxOdd + StochasticOdds)
Start odds1.95First seen
Current1.85Now
Max odds1.95Highest point
Min odds1.75Lowest point
VolatilityHighStable range
TrendDroppingShort term
Model insight

Shanghai Segenda – Beijing Institute Betting Analysis

The model currently selects 1 at odds 1.85. This prediction is generated by the TIPPSH model profile. The V2 confidence band is LOW, with a historical expected ROI of 1.04% across 5438 similar predictions. The model profile is supported by a broad historical sample, making the long-term estimate more informative. 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 prediction received strong market support after the first appearance. Early prices historically produced the best long-term performance for this model profile. 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.
Sample59
Win Rate44.1%
Profit-8.77u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSCape Town City - Milford FC1.911.31%
WINScherpenheuvel - Inter Willemstad1.841.04%
WINPenarol Reserves - Deportivo Maldonado Reserves1.811.04%
LOSSSandefjord - Fredrikstad1.941.04%
WINChattanooga FC - Carolina Core FC1.981.04%
LOSSManauara EC - Manaus1.831.04%
WINMlawianka Mlawa - Lechia Tomaszow Mazowiecki1.801.31%
LOSSGranat Skarzysko-Kamienna - Wierna Malogoszcz2.101.31%
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MatchPickOddExp. ROIKickoff
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National Bank - Al Ittihad Al Sakandary12.031.04%29 May 19:00
EC Juventude - America MG11.881.31%30 May 02:00
Charleston Battery - Detroit City FC11.891.04%31 May 00:00
Louisville City FC - Tampa Bay Rowdies11.921.04%31 May 01:00
Ceara - Operario PR11.971.31%31 May 21:00
Pick
1 @ 1.85
Kickoff
Mag 23, 2026 11:30 AM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.04% • n=5438
Start
Started 3d 16h ago
Updated
Updated 3d 18h ago
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