Model: TIPPSH
Rangers de Talca – Puerto Montt
PREDICTION
1
@ 2.70
StatusArchived prediction
KickoffMag 03, 2026 4:00 AM
ResultLOSS0 - 1
StartStarted 24d 13h 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 26d 9h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Rangers de Talca | Puerto Montt |
|---|---|---|
| Last 5 form | L-L-D-L | W-L-W-D |
| Avg goals scored | 1.00 | 0.75 |
| Avg goals conceded | 1.75 | 0.50 |
| Home/Away form | L-D-L (home) | W-L-D (away) |
| Home/Away avg goals | 1.00 scored / 1.67 conceded | 0.67 scored / 0.67 conceded |
| Shots on target | 5.50 for / 5.25 against | 3.75 for / 4.25 against |
| Home/Away shots on target | 5.00 for / 5.33 against (home) | 2.00 for / 5.00 against (away) |
AI Match Insight
The elevated odds reflect a naturally higher-risk profile, especially because recent form does not clearly favor Rangers de Talca. The model does not assign a strong confidence profile here, making the pick more speculative. Rangers de Talca has produced stronger recent offensive pressure in terms of shots on target.
Odds history (MaxOdd + StochasticOdds)
Start odds2.23First seen
Current2.70Now
Max odds2.70Highest point
Min odds2.23Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Rangers de Talca – Puerto Montt Betting Analysis
The model currently selects 1 at odds 2.70. 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 @ 2.70
Kickoff
Mag 03, 2026 4:00 AM
Confidence
CONF: ?
Start
Started 24d 13h ago
Updated
Updated 26d 9h ago