Santa Cruz RS – Brasil de Farroupilha

Model: TIPPSH

Santa Cruz RS – Brasil de Farroupilha

PREDICTION
1
@ 1.78
StatusArchived prediction
KickoffMag 23, 2026 10:30 PM
ResultLOSS1 - 1
StartStarted 3d 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 14h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Santa Cruz RS Brasil de Farroupilha
Last 5 form D-W D-L-D-D
Avg goals scored 1.50 0.50
Avg goals conceded 1.00 0.75
Home/Away form D (home) D-D (away)
Home/Away avg goals 1.00 scored / 1.00 conceded 1.00 scored / 1.00 conceded
Shots on target 3.00 for / 3.50 against 2.33 for / 6.33 against
Home/Away shots on target 2.00 for / 2.00 against (home) 2.00 for / 2.00 against (away)

AI Match Insight

With no dominant recent form edge, the pick should be interpreted mainly through the model's historical profile. The model does not assign a strong confidence profile here, making the pick more speculative.

Odds history (MaxOdd + StochasticOdds)
Start odds1.62First seen
Current1.78Now
Max odds1.78Highest point
Min odds1.53Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Santa Cruz RS – Brasil de Farroupilha Betting Analysis

The model currently selects 1 at odds 1.78. 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 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.
Sample48
Win Rate41.7%
Profit-10.26u
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%
LOSSAtletico GO - Sao Bernardo SP1.901.04%
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MatchPickOddExp. ROIKickoff
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Charleston Battery - Detroit City FC11.891.04%31 May 00:00
Louisville City FC - Tampa Bay Rowdies11.921.04%31 May 01:00
Pick
1 @ 1.78
Kickoff
Mag 23, 2026 10:30 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.04% • n=5438
Start
Started 3d ago
Updated
Updated 3d 14h ago
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