Model: TIPPSH
Slovan Galanta – Spartak Myjava
PREDICTION
1
@ 2.21
StatusArchived prediction
KickoffMag 01, 2026 4:30 PM
ResultLOSS0 - 0
StartStarted 25d 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 25d 18h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Slovan Galanta | Spartak Myjava |
|---|---|---|
| Last 5 form | D-W-W-W-W | D-W-D-L-W |
| Avg goals scored | 1.80 | 0.80 |
| Avg goals conceded | 0.80 | 0.60 |
| Home/Away form | D-W-W (home) | D-D-L (away) |
| Home/Away avg goals | 1.67 scored / 0.67 conceded | 0.00 scored / 0.67 conceded |
| Shots on target | 5.50 for / 2.25 against | 2.00 for / 3.00 against |
| Home/Away shots on target | 4.00 for / 1.50 against (home) | 1.67 for / 3.33 against (away) |
AI Match Insight
The price is not extreme, and recent results provide a reasonable statistical basis for the pick. If considered, this pick should be approached with caution due to the limited historical confidence. Slovan Galanta is also generating more shots on target, adding offensive support to the pick.
Odds history (MaxOdd + StochasticOdds)
Start odds2.10First seen
Current2.35Now
Max odds2.35Highest point
Min odds1.95Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Slovan Galanta – Spartak Myjava Betting Analysis
The model currently selects 1 at odds 2.21. 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 @ 2.21
Kickoff
Mag 01, 2026 4:30 PM
Confidence
CONF: ?
Start
Started 25d 9h ago
Updated
Updated 25d 18h ago