Sao Paulo (W) – Santos (W)

Model: TIPPSH

Sao Paulo (W) – Santos (W)

PREDICTION
1
@ 1.71
StatusArchived prediction
KickoffMag 26, 2026 12:30 AM
ResultWIN3 - 0
StartStarted 22h 52m 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 1d 1h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Sao Paulo (W) Santos (W)
Last 5 form W-L-W-L-W L-D-L-D-W
Avg goals scored 1.40 0.80
Avg goals conceded 0.80 1.20
Home/Away form W-L-W-W-W (home) L-D-W-L-D (away)
Home/Away avg goals 1.80 scored / 0.60 conceded 1.00 scored / 1.40 conceded
Shots on target 5.20 for / 3.80 against 2.80 for / 4.60 against
Home/Away shots on target 6.20 for / 3.40 against (home) 3.00 for / 4.60 against (away)

AI Match Insight

The market strongly favors Sao Paulo (W), and recent form broadly confirms the direction of the price. The model does not assign a strong confidence profile here, making the pick more speculative. Sao Paulo (W) has produced stronger recent offensive pressure in terms of shots on target.

Odds history (MaxOdd + StochasticOdds)
Start odds1.56First seen
Current1.71Now
Max odds1.71Highest point
Min odds1.56Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Sao Paulo (W) – Santos (W) 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 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. Moderate odds volatility indicates some market disagreement during the pre-match phase. 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.
Sample51
Win Rate56.9%
Profit-2.17u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSPamba SC - Tanzania Prisons1.71-7.35%
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%
LOSSSollentuna United FF - Piteå IF1.70-9.21%
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Pick
1 @ 1.71
Kickoff
Mag 26, 2026 12:30 AM
Confidence
CONF: NONE
Exp. ROI V2
Exp. ROI -9.21% • n=1970
Start
Started 22h 52m ago
Updated
Updated 1d 1h ago
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