FK Gabala – Araz FK

Model: TIPPSH

FK Gabala – Araz FK

PREDICTION
1
@ 2.03
StatusArchived prediction
KickoffApr 25, 2026 6:30 PM
ResultLOSS1 - 1
StartStarted 31d 7h ago
V2 ConfidenceMEDIUMExpected ROI 4.31% · n=212
V4 ConfidenceMEDIUMExpected ROI 4.31% · n=212
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 32d 1h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric FK Gabala Araz FK
Last 5 form D-L-L-W D-L-L-L
Avg goals scored 0.75 1.00
Avg goals conceded 0.75 2.50
Home/Away form D-L (home) D-L (away)
Home/Away avg goals 0.50 scored / 1.00 conceded 1.00 scored / 1.50 conceded
Shots on target 3.00 for / 2.75 against 3.25 for / 6.00 against
Home/Away shots on target 1.00 for / 2.00 against (home) 3.00 for / 4.50 against (away)

AI Match Insight

The odds suggest a balanced contest, but recent performance data slightly favors FK Gabala. There is some statistical support behind the pick, but the historical signal is not strong enough to be aggressive.

Odds history (MaxOdd + StochasticOdds)
Start odds2.30First seen
Current2.14Now
Max odds2.38Highest point
Min odds2.01Lowest point
VolatilityHighStable range
TrendDroppingShort term
Model insight

FK Gabala – Araz FK Betting Analysis

The model currently selects 1 at odds 2.03. This prediction is generated by the TIPPSH model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 4.31% and 4.31%. 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 prediction received strong market support after the first appearance. Early prices historically produced the best long-term performance for this model profile. 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.
Sample298
Win Rate48.7%
Profit-13.30u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSBangor Celtic FC - St Mochtas2.272.49%
LOSSAF Chilibre - Deportivo Ana Luisa Flores2.123.37%
WINAscoli - Catania2.282.49%
LOSSCentral & Western - Hoi King2.203.37%
WINKariya - Gakunan F Mosuperio2.282.49%
WINVarnsdorf - Mladá Boleslav B1.893.37%
LOSSSouth Melbourne - Auckland FC II1.843.37%
LOSSB36 Torshavn II - Vikingur Gota II2.213.37%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Slask Wroclaw II - KKS 1925 Kalisz11.984.86%09 May 13:00
FC Spartak Trnava - MSK Zilina11.932.30%10 May 19:00
Pick
1 @ 2.03
Kickoff
Apr 25, 2026 6:30 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 4.31% • n=212
Confidence V4
Exp. ROI V4
4.31% • n=212
Start
Started 31d 7h ago
Updated
Updated 32d 1h ago
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