Model: TIPPSH
Platense – San Martin SJ
PREDICTION
1
@ 2.05
StatusArchived prediction
KickoffMag 13, 2026 11:15 PM
ResultLOSS0 - 0
StartStarted 13d 1h ago
V2 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
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 13d 4h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Platense | San Martin SJ |
|---|---|---|
| Last 5 form | D-D-L-W-L | D-D-L-W-W |
| Avg goals scored | 0.60 | 0.60 |
| Avg goals conceded | 1.00 | 0.60 |
| Home/Away form | D-D-L-W-L (home) | D-L-W-D (away) |
| Home/Away avg goals | 0.60 scored / 1.00 conceded | 0.50 scored / 0.75 conceded |
| Shots on target | 5.20 for / 4.00 against | 3.80 for / 4.40 against |
| Home/Away shots on target | 5.20 for / 4.00 against (home) | 3.00 for / 4.00 against (away) |
AI Match Insight
The matchup looks relatively balanced, so the value of the pick depends more on the model profile than on a clear form advantage. This selection carries a lower-confidence signal, so the risk profile remains elevated. Platense has produced stronger recent offensive pressure in terms of shots on target.
Odds history (MaxOdd + StochasticOdds)
Start odds1.62First seen
Current2.05Now
Max odds2.12Highest point
Min odds1.62Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Platense – San Martin SJ Betting Analysis
The model currently selects 1 at odds 2.05. This prediction is generated by the TIPPSH model profile. 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.
Pick
1 @ 2.05
Kickoff
Mag 13, 2026 11:15 PM
Confidence
CONF: ?
Start
Started 13d 1h ago
Updated
Updated 13d 4h ago