FC Bunyodkor – Navbahor Namangan

Model: TIPPSA

FC Bunyodkor – Navbahor Namangan

PREDICTION
2
@ 2.09
StatusArchived prediction
KickoffApr 29, 2026 7:00 PM
ResultLOSS2 - 1
StartStarted 27d 8h ago
V2 ConfidenceMEDIUMExpected ROI 2.14% · n=97
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 27d 11h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric FC Bunyodkor Navbahor Namangan
Last 5 form W-L-W-L-W L-D-W-W-W
Avg goals scored 1.40 1.40
Avg goals conceded 1.40 0.60
Home/Away form W-L-L-W (home) L-W-W (away)
Home/Away avg goals 1.25 scored / 1.25 conceded 1.33 scored / 0.67 conceded
Shots on target 4.20 for / 5.80 against 4.20 for / 3.80 against
Home/Away shots on target 3.25 for / 5.25 against (home) 4.67 for / 5.00 against (away)

AI Match Insight

The matchup looks relatively balanced, so the value of the pick depends more on the model profile than on a clear form advantage. There is some statistical support behind the pick, but the historical signal is not strong enough to be aggressive.

Odds history (MaxOdd + StochasticOdds)
Start odds1.78First seen
Current2.10Now
Max odds2.18Highest point
Min odds1.78Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

FC Bunyodkor – Navbahor Namangan Betting Analysis

The model currently selects 2 at odds 2.09. This prediction is generated by the TIPPSA model profile. The V2 confidence band is MEDIUM, with a historical expected ROI of 2.14% across 97 similar predictions. 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.
Sample96
Win Rate42.7%
Profit-7.66u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSSC Kiryat Yam - Maccabi Petah Tikva2.253.43%
LOSSGlasgow City (W) - Rangers (W)2.052.63%
LOSSLobos UPNFM Reserves - CD Marathon Reserves2.182.63%
LOSSRadnik Bijeljina - Borac Banja Luka2.182.63%
LOSSADO Den Haag (W) - PEC Zwolle (W)2.254.13%
LOSSAFC Hermannstadt - FCSB2.263.31%
LOSSKasimpasa - Galatasaray2.273.31%
LOSSValur Reykjavik - Breidablik2.164.31%
Pick
2 @ 2.09
Kickoff
Apr 29, 2026 7:00 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 2.14% • n=97
Start
Started 27d 8h ago
Updated
Updated 27d 11h ago
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