Nublense – Universidad de Concepcion

Model: TIPPSH

Nublense – Universidad de Concepcion

PREDICTION
1
@ 1.71
StatusArchived prediction
KickoffMag 23, 2026 11:00 PM
ResultLOSS2 - 2
StartStarted 3d 4h ago
V2 ConfidenceNONEExpected ROI -9.21% · n=1970
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 7h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Nublense Universidad de Concepcion
Last 5 form D-L-D-W-L D-W-L-D-L
Avg goals scored 1.40 1.40
Avg goals conceded 2.20 1.60
Home/Away form D-W-L-W (home) D-W-L-L-L (away)
Home/Away avg goals 1.25 scored / 1.00 conceded 1.00 scored / 2.40 conceded
Shots on target 3.80 for / 4.20 against 3.60 for / 6.20 against
Home/Away shots on target 4.00 for / 2.00 against (home) 3.60 for / 6.60 against (away)

AI Match Insight

At a short price, the selection appears more probability-based than value-driven. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction.

Odds history (MaxOdd + StochasticOdds)
Start odds1.91First seen
Current1.71Now
Max odds1.91Highest point
Min odds1.70Lowest point
VolatilityHighStable range
TrendDroppingShort term
Model insight

Nublense – Universidad de Concepcion Betting Analysis

The model currently selects 1 at odds 1.71. This prediction is generated by the TIPPSH model profile. The V2 confidence band is NONE, with a historical expected ROI of -9.21% across 1970 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.
Sample52
Win Rate57.7%
Profit-1.55u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSPamba SC - Tanzania Prisons1.71-7.35%
WINKR Reykjavik - Valur Reykjavik1.62-7.35%
WINStabaek (W) - Haugesund (W)1.69-9.21%
WINGil Vicente U23 - Santa Clara U231.74-9.21%
WINAjax (W) - Feyenoord (W)1.71-9.21%
WINIFK Norrkoping - Osters IF1.65-9.21%
WINZNK Agram (W) - ZNK Dinamo (W)1.68-6.04%
LOSSCS Sfaxien - ES Zarzis1.64-7.35%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Pocheon Citizen FC - Changwon City11.63-9.21%27 May 11:00
Sport Boys - Comerciantes Unidos11.63-7.35%31 May 00:30
Pittsburgh Riverhounds - Miami FC11.68-9.21%31 May 01:00
CD Los Chankas - UTC Cajamarca11.72-9.21%31 May 22:15
Pick
1 @ 1.71
Kickoff
Mag 23, 2026 11:00 PM
Confidence
CONF: NONE
Exp. ROI V2
Exp. ROI -9.21% • n=1970
Start
Started 3d 4h ago
Updated
Updated 3d 7h ago
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