Volos NFC (W) – AEK Athens (W)

Model: TipTromba12H

Volos NFC (W) – AEK Athens (W)

PREDICTION
1
@ 9.50
StatusArchived prediction
KickoffApr 26, 2026 6:00 PM
ResultLOSS1 - 1
StartStarted 30d 10h ago
V2 ConfidenceLOWExpected ROI 1.00% · n=15
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 30d 18h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Volos NFC (W) AEK Athens (W)
Last 5 form D-L D-W-W
Avg goals scored 0.50 1.67
Avg goals conceded 1.50 0.33
Home/Away form D (home) D (away)
Home/Away avg goals 1.00 scored / 1.00 conceded 1.00 scored / 1.00 conceded
Shots on target 1.00 for / 4.00 against 4.00 for / 1.00 against
Home/Away shots on target 1.00 for / 4.00 against (home) 4.00 for / 1.00 against (away)

AI Match Insight

The elevated odds reflect a naturally higher-risk profile, especially because recent form does not clearly favor Volos NFC (W). This selection carries a lower-confidence signal, so the risk profile remains elevated.

Odds history (MaxOdd + StochasticOdds)
Start odds7.00First seen
Current9.65Now
Max odds9.65Highest point
Min odds7.00Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Volos NFC (W) – AEK Athens (W) Betting Analysis

The model currently selects 1 at odds 9.50. This prediction is generated by the TipTromba12H model profile. The V2 confidence band is LOW, with a historical expected ROI of 1.00% across 15 similar predictions. The available sample size is still relatively limited, which may increase performance variability. 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.
Sample10
Win Rate10.0%
Profit-0.50u
Historical Similar Predictions
ResultMatchOddExp. ROI
WINFlamengo de Sucre - Nacional Sucre9.501.41%
LOSSBK Hacken (W) II - Elfsborg (W)9.501.41%
LOSSCanberra White Eagles - Canberra Juventus9.501.00%
LOSSCarlos Mannucci (W) - Atletico Andahuaylas (W)9.501.00%
LOSSMacau University - Cheng Fung9.500.56%
LOSSTevi Cocle (W) - UMECIT (W)9.501.00%
LOSSInter Zanzibar FC - Mlandege FC9.501.00%
LOSSPobeda Valandovo - Belasica Strumica9.501.00%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
AIK (W) - BK Hacken (W)19.501.41%27 May 19:00
Pick
1 @ 9.50
Kickoff
Apr 26, 2026 6:00 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.00% • n=15
Start
Started 30d 10h ago
Updated
Updated 30d 18h ago
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