Model: TIPPSH
Wolaita Dicha – Kedus Giorgis
PREDICTION
1
@ 2.98
StatusArchived prediction
KickoffMag 14, 2026 5:00 PM
ResultLOSS0 - 0
StartStarted 12d 8h 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 12d 10h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Wolaita Dicha | Kedus Giorgis |
|---|---|---|
| Last 5 form | D-W-W-D-W | D-W-L-D-L |
| Avg goals scored | 1.00 | 0.40 |
| Avg goals conceded | 0.40 | 1.00 |
| Home/Away form | D-W-L-D (home) | D-L-D-W (away) |
| Home/Away avg goals | 0.25 scored / 0.25 conceded | 1.00 scored / 1.25 conceded |
| Shots on target | 2.80 for / 1.20 against | 1.80 for / 1.80 against |
| Home/Away shots on target | 0.75 for / 0.50 against (home) | 4.00 for / 2.25 against (away) |
AI Match Insight
Although the odds are relatively high, Wolaita Dicha shows enough recent performance support to make the pick interesting from a risk/reward perspective. If considered, this pick should be approached with caution due to the limited historical confidence. Wolaita Dicha has produced stronger recent offensive pressure in terms of shots on target.
Odds history (MaxOdd + StochasticOdds)
Start odds2.70First seen
Current2.98Now
Max odds2.98Highest point
Min odds2.70Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Wolaita Dicha – Kedus Giorgis Betting Analysis
The model currently selects 1 at odds 2.98. 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 @ 2.98
Kickoff
Mag 14, 2026 5:00 PM
Confidence
CONF: ?
Start
Started 12d 8h ago
Updated
Updated 12d 10h ago