Model: TIPPSH
National Bank – Ismaily SC
PREDICTION
1
@ 2.33
StatusArchived prediction
KickoffMag 07, 2026 9:00 PM
ResultLOSS0 - 0
StartStarted 19d 18h 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 6h ago
Team Form & Goal Trends
Recent form based on completed matches before kickoff.
| Metric | National Bank | Ismaily SC |
|---|---|---|
| Last 5 form | D-W-W-W-L | D-D-W-L-L |
| Avg goals scored | 1.40 | 0.20 |
| Avg goals conceded | 1.00 | 0.60 |
| Home/Away form | D-W-W-W-W (home) | D-D-W-L-D (away) |
| Home/Away avg goals | 2.00 scored / 1.00 conceded | 0.40 scored / 0.40 conceded |
| Shots on target | 5.20 for / 2.00 against | 3.00 for / 4.20 against |
| Home/Away shots on target | 6.80 for / 2.00 against (home) | 3.60 for / 3.80 against (away) |
AI Match Insight
The odds suggest a balanced contest, but recent performance data slightly favors National Bank. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction. National Bank is also generating more shots on target, adding offensive support to the pick.
Odds history (MaxOdd + StochasticOdds)
Start odds1.70First seen
Current2.33Now
Max odds2.45Highest point
Min odds1.68Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight
National Bank – Ismaily SC Betting Analysis
The model currently selects 1 at odds 2.33. 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 @ 2.33
Kickoff
Mag 07, 2026 9:00 PM
Confidence
CONF: ?
Start
Started 19d 18h ago
Updated
Updated 21d 6h ago