Model: TipTromba35H
Diyala FC – Al Talaba
PREDICTION
1
@ 3.20
StatusArchived prediction
KickoffMag 01, 2026 6:00 PM
ResultLOSS0 - 1
StartStarted 25d 8h ago
V2 ConfidenceNONEExpected ROI -0.30% · n=731
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 10h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | Diyala FC | Al Talaba |
|---|---|---|
| Last 5 form | L-L-L-W-W | W-L-D-W-W |
| Avg goals scored | 0.80 | 2.00 |
| Avg goals conceded | 1.40 | 1.40 |
| Home/Away form | L-L-W-W-D (home) | W-W-W-L (away) |
| Home/Away avg goals | 0.80 scored / 1.20 conceded | 1.50 scored / 0.75 conceded |
| Shots on target | 2.20 for / 1.40 against | 3.60 for / 4.40 against |
| Home/Away shots on target | 2.67 for / 1.33 against (home) | 3.25 for / 4.50 against (away) |
AI Match Insight
The selection carries significant risk according to both market expectations and recent form indicators. If considered, this pick should be approached with caution due to the limited historical confidence.
Odds history (MaxOdd + StochasticOdds)
Start odds2.90First seen
Current3.26Now
Max odds3.48Highest point
Min odds2.90Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
Diyala FC – Al Talaba Betting Analysis
The model currently selects 1 at odds 3.20. This prediction is generated by the TipTromba35H model profile. The V2 confidence band is NONE, with a historical expected ROI of -0.30% across 731 similar predictions. The model profile is supported by a broad historical sample, making the long-term estimate more informative. 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.
Sample70
Win Rate28.6%
Profit-7.71u
Historical Similar Predictions
| Result | Match | Odd | Exp. ROI |
|---|---|---|---|
| WIN | CF Jaraiz - CD Badajoz | 3.10 | -0.30% |
| LOSS | Urawa Red Diamonds - FC Tokyo | 3.00 | -0.30% |
| LOSS | Hodd - Sogndal | 3.08 | -0.30% |
| LOSS | Real Noroeste Capixaba - Rio Branco ES | 3.20 | -0.30% |
| LOSS | Cavalier - Montego Bay Utd | 3.00 | -0.30% |
| WIN | Botev Plovdiv - Cherno More Varna | 3.10 | -0.30% |
| LOSS | Slovan Liberec - Sparta Prague | 3.00 | -0.30% |
| WIN | Macarthur Rams (W) - Northern Tigers FC (W) | 3.20 | -0.30% |
Pick
1 @ 3.20
Kickoff
Mag 01, 2026 6:00 PM
Confidence
CONF: NONE
Exp. ROI V2
Exp. ROI -0.30% • n=731
Start
Started 25d 8h ago
Updated
Updated 25d 10h ago