Model: TIPPSA
LDU Quito – Tecnico Universitario
PREDICTION
2
@ 5.25
StatusArchived prediction
KickoffMag 16, 2026 1:30 AM
ResultLOSS2 - 1
StartStarted 10d 22h 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 11d 1h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | LDU Quito | Tecnico Universitario |
|---|---|---|
| Last 5 form | W-W-L-W-L | L-W-L-L-L |
| Avg goals scored | 1.20 | 1.20 |
| Avg goals conceded | 1.00 | 1.20 |
| Home/Away form | W-W-D-W-L (home) | L-L-L-L-W (away) |
| Home/Away avg goals | 1.00 scored / 0.60 conceded | 0.80 scored / 1.20 conceded |
| Shots on target | 3.60 for / 3.40 against | 7.20 for / 3.20 against |
| Home/Away shots on target | 3.60 for / 2.80 against (home) | 5.60 for / 4.00 against (away) |
AI Match Insight
The elevated odds reflect a naturally higher-risk profile, especially because recent form does not clearly favor Tecnico Universitario. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction. Shot-on-target data gives additional support to Tecnico Universitario's attacking profile.
Odds history (MaxOdd + StochasticOdds)
Start odds5.25First seen
Current5.60Now
Max odds6.80Highest point
Min odds5.25Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
LDU Quito – Tecnico Universitario Betting Analysis
The model currently selects 2 at odds 5.25. This prediction is generated by the TIPPSA 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
2 @ 5.25
Kickoff
Mag 16, 2026 1:30 AM
Confidence
CONF: ?
Start
Started 10d 22h ago
Updated
Updated 11d 1h ago