CF Can Vidalet – Cerdanyola del Valles FC

Model: TIPPSH

CF Can Vidalet – Cerdanyola del Valles FC

PREDICTION
1
@ 2.22
StatusArchived prediction
KickoffMag 10, 2026 2:30 PM
ResultLOSS1 - 2
StartStarted 35d 20h ago
V2 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
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 35d 23h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric CF Can Vidalet Cerdanyola del Valles FC
Last 5 form L-L-D-W-L W-D-D-D-L
Avg goals scored 0.80 1.80
Avg goals conceded 1.80 2.00
Home/Away form L-W-D (home) W-D-L (away)
Home/Away avg goals 1.33 scored / 1.00 conceded 1.00 scored / 1.33 conceded
Shots on target 3.25 for / 3.25 against 2.60 for / 6.60 against
Home/Away shots on target 3.00 for / 2.67 against (home) 2.00 for / 6.67 against (away)

AI Match Insight

The price and recent metrics both point to a relatively open contest. This selection carries a lower-confidence signal, so the risk profile remains elevated.

Current Combo momentum is weak. Recent short-term performance has been below expectations, suggesting that current match conditions may be less favorable for the model.
3D: 14.1% 7D: -10.6% 15D: -8.2% 30D: -0.6%
Odds history (MaxOdd + StochasticOdds)
Start odds1.97First seen
Current2.22Now
Max odds2.22Highest point
Min odds1.97Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

CF Can Vidalet – Cerdanyola del Valles FC Betting Analysis

The model currently selects 1 at odds 2.22. This prediction is generated by the TIPPSH model profile. 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.
Pick
1 @ 2.22
Kickoff
Mag 10, 2026 2:30 PM
Confidence
CONF: ?
Start
Started 35d 20h ago
Updated
Updated 35d 23h ago
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