Universitario De Vinto – Blooming

Model: TIPPSH

Universitario De Vinto – Blooming

PREDICTION
1
@ 2.05
StatusArchived prediction
KickoffMag 05, 2026 4:00 AM
ResultLOSS1 - 1
StartStarted 22d 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 23d 6h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Universitario De Vinto Blooming
Last 5 form D-L-W-L-L D-L-L-W-L
Avg goals scored 1.60 1.40
Avg goals conceded 1.60 2.00
Home/Away form D-W-L (home) D-L-L-L-D (away)
Home/Away avg goals 2.33 scored / 1.67 conceded 1.40 scored / 2.20 conceded
Shots on target 6.40 for / 5.00 against 4.60 for / 8.20 against
Home/Away shots on target 8.00 for / 5.00 against (home) 4.00 for / 8.20 against (away)

AI Match Insight

Recent form does not create a strong separation, making the confidence band especially important here. If considered, this pick should be approached with caution due to the limited historical confidence. Universitario De Vinto is also generating more shots on target, adding offensive support to the pick.

Odds history (MaxOdd + StochasticOdds)
Start odds1.83First seen
Current2.05Now
Max odds2.05Highest point
Min odds1.80Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Universitario De Vinto – Blooming Betting Analysis

The model currently selects 1 at odds 2.05. 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 @ 2.05
Kickoff
Mag 05, 2026 4:00 AM
Confidence
CONF: ?
Start
Started 22d 18h ago
Updated
Updated 23d 6h ago
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