Ferroviaria SP – Brusque

Model: TIPPSH

Ferroviaria SP – Brusque

PREDICTION
1
@ 2.06
StatusArchived prediction
KickoffMag 17, 2026 11:00 PM
ResultWIN1 - 0
StartStarted 9d 1h ago
V2 ConfidenceMEDIUMExpected ROI 4.86% · n=299
V4 ConfidenceMEDIUMExpected ROI 4.86% · n=299
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 10d ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Ferroviaria SP Brusque
Last 5 form W-L-D-D-W L-W-D-W-W
Avg goals scored 0.60 1.80
Avg goals conceded 0.40 1.00
Home/Away form W-L-W-D-D (home) L-D-W-D (away)
Home/Away avg goals 1.20 scored / 1.00 conceded 1.25 scored / 1.25 conceded
Shots on target 4.60 for / 2.20 against 4.60 for / 4.80 against
Home/Away shots on target 4.20 for / 2.00 against (home) 3.75 for / 6.00 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 gives this selection a reasonable profile, although the confidence level remains measured.

Odds history (MaxOdd + StochasticOdds)
Start odds2.00First seen
Current2.06Now
Max odds2.14Highest point
Min odds1.85Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Ferroviaria SP – Brusque Betting Analysis

The model currently selects 1 at odds 2.06. This prediction is generated by the TIPPSH model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 4.86% and 4.86%. Historical expected profitability for this profile is positive, but the edge appears more moderate. 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. Market movement remained relatively stable before kickoff, suggesting balanced sentiment around the initial model projection. 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.
Sample280
Win Rate48.2%
Profit-12.16u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSBangor Celtic FC - St Mochtas2.272.49%
LOSSAF Chilibre - Deportivo Ana Luisa Flores2.123.37%
WINAscoli - Catania2.282.49%
WIN29 de Septiembre FBC - Club General Martin Ledesma2.313.15%
LOSSCentral & Western - Hoi King2.203.37%
WINKariya - Gakunan F Mosuperio2.282.49%
WINVarnsdorf - Mladá Boleslav B1.893.37%
LOSSSouth Melbourne - Auckland FC II1.843.37%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Slask Wroclaw II - KKS 1925 Kalisz11.984.86%09 May 13:00
FC Spartak Trnava - MSK Zilina11.932.30%10 May 19:00
Pick
1 @ 2.06
Kickoff
Mag 17, 2026 11:00 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 4.86% • n=299
Confidence V4
Exp. ROI V4
4.86% • n=299
Start
Started 9d 1h ago
Updated
Updated 10d ago
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