Canberra White Eagles – Canberra Juventus

Model: TipTromba12H

Canberra White Eagles – Canberra Juventus

PREDICTION
1
@ 9.50
StatusArchived prediction
KickoffMag 17, 2026 9:00 AM
ResultLOSS1 - 4
StartStarted 9d 15h ago
V2 ConfidenceLOWExpected ROI 0.56% · n=25
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 10d ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Canberra White Eagles Canberra Juventus
Last 5 form L-L-L-L-L W-W-L-L-W
Avg goals scored 0.60 2.20
Avg goals conceded 3.40 1.60
Home/Away form L-L-L-L-L (home) W-W-L-W-W (away)
Home/Away avg goals 0.60 scored / 3.40 conceded 2.80 scored / 1.60 conceded
Shots on target 4.20 for / 9.20 against 5.80 for / 5.60 against
Home/Away shots on target 4.20 for / 9.20 against (home) 5.80 for / 5.60 against (away)

AI Match Insight

Recent performances only partially support the selection, which helps explain the higher market price. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction.

Odds history (MaxOdd + StochasticOdds)
Start odds11.50First seen
Current10.40Now
Max odds11.50Highest point
Min odds9.50Lowest point
VolatilityHighStable range
TrendDroppingShort term
Model insight

Canberra White Eagles – Canberra Juventus 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 0.56% across 25 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 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.
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%
LOSSCarlos Mannucci (W) - Atletico Andahuaylas (W)9.501.00%
LOSSVolos NFC (W) - AEK Athens (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
Mag 17, 2026 9:00 AM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 0.56% • n=25
Start
Started 9d 15h ago
Updated
Updated 10d ago
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