FC Gazelle – Victoria Utd Limbe

Model: TipTromba5H

FC Gazelle – Victoria Utd Limbe

PREDICTION
1
@ 4.50
StatusArchived prediction
KickoffMag 03, 2026 5:00 PM
ResultLOSS0 - 1
StartStarted 23d 18h ago
V2 ConfidenceMEDIUMExpected ROI 2.22% · n=89
V4 ConfidenceMEDIUMExpected ROI 2.22% · n=89
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 24d 11h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric FC Gazelle Victoria Utd Limbe
Last 5 form L-W-L-D-L W-W-L-W-L
Avg goals scored 1.20 1.00
Avg goals conceded 1.80 0.80
Home/Away form L-W (home) W-W-W (away)
Home/Away avg goals 2.00 scored / 1.50 conceded 1.33 scored / 0.00 conceded
Shots on target 3.00 for / 5.67 against 3.67 for / 5.67 against
Home/Away shots on target N/A for / N/A against (home) 3.50 for / 4.50 against (away)

AI Match Insight

The selection carries significant risk according to both market expectations and recent form indicators. The model gives this selection a reasonable profile, although the confidence level remains measured.

Odds history (MaxOdd + StochasticOdds)
Start odds2.00First seen
Current4.50Now
Max odds4.50Highest point
Min odds2.00Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

FC Gazelle – Victoria Utd Limbe Betting Analysis

The model currently selects 1 at odds 4.50. This prediction is generated by the TipTromba5H model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 2.22% and 2.22%. 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.
Sample25
Win Rate8.0%
Profit-16.00u
Historical Similar Predictions
ResultMatchOddExp. ROI
WINBangkok (W) - Chonburi FA (W)4.504.05%
LOSSBoston City FC - Boston Bolts4.504.05%
LOSSInternacional de Bogota (W) - America de Cali (W)4.504.05%
LOSSHubei Istar U20 - Shanghai Shenhua U204.753.53%
LOSSUS Amal Tiznit - Difaa El Jadida4.503.71%
LOSSThrottur Reykjavik - Breidablik4.503.87%
LOSSPolonia Nysa - Lechia Zielona Góra4.502.22%
LOSSPR San Juan - Puerto Rico Surf SC4.503.87%
Pick
1 @ 4.50
Kickoff
Mag 03, 2026 5:00 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 2.22% • n=89
Confidence V4
Exp. ROI V4
2.22% • n=89
Start
Started 23d 18h ago
Updated
Updated 24d 11h ago
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