Model: TipTromba12H
Canberra White Eagles – Canberra Juventus
PREDICTION
1
@ 9.50
StatusArchived prediction
KickoffMag 17, 2026 9:00 AM
ResultLOSS1 - 4
StartStarted 9d 19h 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 12d 10h 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
The current odds underline the speculative nature of the pick, particularly given the recent form imbalance. If considered, this pick should be approached with caution due to the limited historical confidence.
Odds history (MaxOdd + StochasticOdds)
Start odds7.00First seen
Current10.10Now
Max odds11.40Highest point
Min odds7.00Lowest point
VolatilityHighStable range
TrendRisingShort 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 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
| Result | Match | Odd | Exp. ROI |
|---|---|---|---|
| WIN | Flamengo de Sucre - Nacional Sucre | 9.50 | 1.41% |
| LOSS | BK Hacken (W) II - Elfsborg (W) | 9.50 | 1.41% |
| LOSS | Carlos Mannucci (W) - Atletico Andahuaylas (W) | 9.50 | 1.00% |
| LOSS | Volos NFC (W) - AEK Athens (W) | 9.50 | 1.00% |
| LOSS | Macau University - Cheng Fung | 9.50 | 0.56% |
| LOSS | Tevi Cocle (W) - UMECIT (W) | 9.50 | 1.00% |
| LOSS | Inter Zanzibar FC - Mlandege FC | 9.50 | 1.00% |
| LOSS | Pobeda Valandovo - Belasica Strumica | 9.50 | 1.00% |
Active Similar Predictions
| Match | Pick | Odd | Exp. ROI | Kickoff |
|---|---|---|---|---|
| AIK (W) - BK Hacken (W) | 1 | 9.50 | 1.41% | 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 19h ago
Updated
Updated 12d 10h ago