Junior – Independiente Santa Fe

Model: TIPPSA

Junior – Independiente Santa Fe

PREDICTION
2
@ 3.80
StatusArchived prediction
KickoffMag 24, 2026 5:30 AM
ResultLOSS0 - 0
StartStarted 2d 19h ago
V2 ConfidenceMEDIUMExpected ROI 3.92% · n=146
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 2d 21h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Junior Independiente Santa Fe
Last 5 form D-W-D-D-W D-W-D-W-D
Avg goals scored 1.40 1.60
Avg goals conceded 1.00 0.60
Home/Away form D-W-D-L-W (home) D-D-L-W-L (away)
Home/Away avg goals 1.80 scored / 1.60 conceded 0.80 scored / 1.20 conceded
Shots on target 5.40 for / 5.00 against 4.60 for / 4.40 against
Home/Away shots on target 5.80 for / 4.40 against (home) 3.40 for / 6.80 against (away)

AI Match Insight

Although the selection comes at relatively high odds, the recent statistical profile appears more balanced than the market suggests. This sits in a middle confidence range, suggesting a balanced but not especially dominant setup.

Odds history (MaxOdd + StochasticOdds)
Start odds3.75First seen
Current4.10Now
Max odds4.50Highest point
Min odds3.75Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Junior – Independiente Santa Fe Betting Analysis

The model currently selects 2 at odds 3.80. This prediction is generated by the TIPPSA model profile. The V2 confidence band is MEDIUM, with a historical expected ROI of 3.92% across 146 similar predictions. 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. 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.
Sample22
Win Rate13.6%
Profit-10.62u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSLos Angeles FC - Seattle Sounders3.654.77%
LOSSGrasshoppers - Aarau3.583.84%
LOSSFC Inter II - KUPS Akatemia3.702.94%
LOSSCobh Ramblers - Athlone Town3.593.04%
LOSSCoquimbo Unido - Universitario de Deportes3.613.04%
LOSSNK Primorac Biograd - NK Junak3.732.94%
WINJacuipense - Imperatriz3.973.07%
LOSSVelez Sarsfield - Union Santa Fe3.673.04%
Pick
2 @ 3.80
Kickoff
Mag 24, 2026 5:30 AM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 3.92% • n=146
Start
Started 2d 19h ago
Updated
Updated 2d 21h ago
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