Cavalier – Montego Bay Utd

Model: TipTromba35H

Cavalier – Montego Bay Utd

PREDICTION
1
@ 3.00
StatusArchived prediction
KickoffMag 18, 2026 2:00 AM
ResultLOSS0 - 1
StartStarted 8d 23h ago
V2 ConfidenceNONEExpected ROI -0.30% · n=731
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 9d 1h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Cavalier Montego Bay Utd
Last 5 form L-W-D-W-W W-L-L-L-W
Avg goals scored 1.60 2.00
Avg goals conceded 0.80 1.80
Home/Away form L-D-W-W-W (home) W-L-L-L-D (away)
Home/Away avg goals 1.80 scored / 0.80 conceded 1.40 scored / 1.80 conceded
Shots on target 4.40 for / 2.20 against 5.80 for / 4.40 against
Home/Away shots on target 2.80 for / 4.60 against (home) 6.40 for / 4.80 against (away)

AI Match Insight

While the odds remain elevated, the underlying metrics suggest the selection may be more competitive than the market implies. If considered, this pick should be approached with caution due to the limited historical confidence.

Odds history (MaxOdd + StochasticOdds)
Start odds3.00First seen
Current3.38Now
Max odds3.38Highest point
Min odds3.00Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Cavalier – Montego Bay Utd Betting Analysis

The model currently selects 1 at odds 3.00. This prediction is generated by the TipTromba35H model profile. The V2 confidence band is NONE, with a historical expected ROI of -0.30% across 731 similar predictions. The model profile is supported by a broad historical sample, making the long-term estimate more informative. 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.
Sample69
Win Rate29.0%
Profit-6.71u
Historical Similar Predictions
ResultMatchOddExp. ROI
WINCF Jaraiz - CD Badajoz3.10-0.30%
LOSSUrawa Red Diamonds - FC Tokyo3.00-0.30%
LOSSHodd - Sogndal3.08-0.30%
LOSSReal Noroeste Capixaba - Rio Branco ES3.20-0.30%
WINBotev Plovdiv - Cherno More Varna3.10-0.30%
LOSSSlovan Liberec - Sparta Prague3.00-0.30%
WINMacarthur Rams (W) - Northern Tigers FC (W)3.20-0.30%
WINAston Villa - Liverpool3.04-0.30%
Pick
1 @ 3.00
Kickoff
Mag 18, 2026 2:00 AM
Confidence
CONF: NONE
Exp. ROI V2
Exp. ROI -0.30% • n=731
Start
Started 8d 23h ago
Updated
Updated 9d 1h ago
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