Al Jahra – Al Naser SC

Model: TIPPSA

Al Jahra – Al Naser SC

PREDICTION
2
@ 2.38
StatusArchived prediction
KickoffMag 14, 2026 6:40 PM
ResultWIN0 - 2
StartStarted 12d 16h ago
V2 ConfidenceMEDIUMExpected ROI 3.37% · n=63
V4 ConfidenceMEDIUMExpected ROI 3.37% · n=63
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 19h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Al Jahra Al Naser SC
Last 5 form L W
Avg goals scored 0.00 2.00
Avg goals conceded 2.00 0.00
Home/Away form L (home) W (away)
Home/Away avg goals 0.00 scored / 2.00 conceded 2.00 scored / 0.00 conceded
Shots on target 0.00 for / 5.00 against 5.00 for / 0.00 against
Home/Away shots on target 0.00 for / 5.00 against (home) 5.00 for / 0.00 against (away)

AI Match Insight

This looks like a competitive matchup, although the form profile gives the selected side some support. This sits in a middle confidence range, suggesting a balanced but not especially dominant setup. Shot-on-target data gives additional support to Al Naser SC's attacking profile.

Odds history (MaxOdd + StochasticOdds)
Start odds2.08First seen
Current2.50Now
Max odds2.72Highest point
Min odds2.00Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Al Jahra – Al Naser SC Betting Analysis

The model currently selects 2 at odds 2.38. This prediction is generated by the TIPPSA model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 3.37% and 3.37%. Historical expected profitability for this profile is positive, but the edge appears more moderate. 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.
Sample152
Win Rate38.8%
Profit-11.18u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSSC Kiryat Yam - Maccabi Petah Tikva2.253.43%
LOSSLobos UPNFM Reserves - CD Marathon Reserves2.182.63%
LOSSNK Radomlje - NS Mura2.554.13%
LOSSRadnik Bijeljina - Borac Banja Luka2.182.63%
LOSSADO Den Haag (W) - PEC Zwolle (W)2.254.13%
WINHelsingborg - Varbergs BoIS FC2.634.13%
WINGuayaquil City - Orense2.483.59%
LOSSAFC Hermannstadt - FCSB2.263.31%
Pick
2 @ 2.38
Kickoff
Mag 14, 2026 6:40 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 3.37% • n=63
Confidence V4
Exp. ROI V4
3.37% • n=63
Start
Started 12d 16h ago
Updated
Updated 12d 19h ago
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