Model: TIPPSH
Tigres UANL – Nashville SC
PREDICTION
1
@ 1.72
StatusArchived prediction
KickoffMag 06, 2026 5:30 AM
ResultWIN1 - 0
StartStarted 21d 9h 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 21d 15h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Tigres UANL | Nashville SC |
|---|---|---|
| Last 5 form | W-W-W-W-D | L-D-L-W-W |
| Avg goals scored | 2.00 | 1.20 |
| Avg goals conceded | 0.40 | 0.80 |
| Home/Away form | W-W-W-W-W (home) | L-D-W-W-W (away) |
| Home/Away avg goals | 3.00 scored / 0.60 conceded | 1.00 scored / 0.40 conceded |
| Shots on target | 6.60 for / 1.20 against | 3.40 for / 3.80 against |
| Home/Away shots on target | 6.80 for / 2.60 against (home) | 2.80 for / 4.20 against (away) |
AI Match Insight
Market expectations and recent results both point toward Tigres UANL as the more reliable side. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction. Tigres UANL has produced stronger recent offensive pressure in terms of shots on target.
Odds history (MaxOdd + StochasticOdds)
Start odds1.50First seen
Current1.72Now
Max odds1.80Highest point
Min odds1.50Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Tigres UANL – Nashville SC Betting Analysis
The model currently selects 1 at odds 1.72. 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 @ 1.72
Kickoff
Mag 06, 2026 5:30 AM
Confidence
CONF: ?
Start
Started 21d 9h ago
Updated
Updated 21d 15h ago