Greece – Serbia

Model: TipTromba45H

Greece – Serbia

PREDICTION
1
@ 4.33
StatusArchived prediction
KickoffGiu 01, 2026 9:00 PM
ResultLOSS2 - 4
StartStarted 21h 40m ago
V2 ConfidenceLOWExpected ROI 0.68% · n=92
V4 ConfidenceLOWExpected ROI 0.68% · n=92
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 23h 50m ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Greece Serbia
Last 5 form L W-L
Avg goals scored 2.00 2.00
Avg goals conceded 4.00 2.50
Home/Away form L (home) W-L (away)
Home/Away avg goals 2.00 scored / 4.00 conceded 2.00 scored / 2.50 conceded
Shots on target N/A for / N/A against 1.00 for / 5.00 against
Home/Away shots on target N/A for / N/A against (home) 1.00 for / 5.00 against (away)

AI Match Insight

The elevated odds reflect a naturally higher-risk profile, especially because recent form does not clearly favor Greece. The model does not assign a strong confidence profile here, making the pick more speculative.

Current Combo momentum is mixed. Recent results show alternating performance between short-term and medium-term windows.
3D: -25.7% 7D: 0.8% 15D: 22.1% 30D: 10.6%
Odds history (MaxOdd + StochasticOdds)
Start odds2.25First seen
Current4.33Now
Max odds4.33Highest point
Min odds2.25Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Greece – Serbia Betting Analysis

The model currently selects 1 at odds 4.33. This prediction is generated by the TipTromba45H model profile. Both V2 and V4 profiles currently show LOW confidence, with historical expected ROI values of 0.68% and 0.68%. 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.
Sample12
Win Rate50.0%
Profit+12.83u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSSportivo San Lorenzo Reserves - Sportivo Luqueno Reserves4.201.80%
LOSSFish United - NoPS4.101.80%
WINVJS Vantaa - FF Jaro4.101.80%
WINAS Binah - ASKO Kara4.331.72%
LOSSATUS Ferlach - SV Donau Klagenfurt4.201.80%
WINCA Lito - CA Platense4.101.21%
WINRubio Nu Reserves - Sportivo Luqueno Reserves4.101.80%
LOSSFC Nagykanizsa (W) - Papai ELC (W)4.331.72%
Pick
1 @ 4.33
Kickoff
Giu 01, 2026 9:00 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 0.68% • n=92
Confidence V4
Exp. ROI V4
0.68% • n=92
Start
Started 21h 40m ago
Updated
Updated 23h 50m ago
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