Patro Eisden Maasmechelen – KFCO Beerschot Wilrijk

Model: TIPPSH

Patro Eisden Maasmechelen – KFCO Beerschot Wilrijk

PREDICTION
1
@ 3.83
StatusArchived prediction
KickoffApr 23, 2026 10:30 PM
ResultLOSS1 - 1
StartStarted 33d 16h 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 33d 18h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Patro Eisden Maasmechelen KFCO Beerschot Wilrijk
Last 5 form D-W-L D-W-D
Avg goals scored 1.67 2.00
Avg goals conceded 1.00 1.67
Home/Away form D-W (home) D-D (away)
Home/Away avg goals 2.50 scored / 0.50 conceded 2.00 scored / 2.00 conceded
Shots on target 5.33 for / 2.67 against 4.33 for / 4.33 against
Home/Away shots on target 5.00 for / 1.50 against (home) 4.00 for / 5.50 against (away)

AI Match Insight

Although the selection comes at relatively high odds, the recent statistical profile appears more balanced than the market suggests. The model does not assign a strong confidence profile here, making the pick more speculative. Patro Eisden Maasmechelen is also generating more shots on target, adding offensive support to the pick.

Odds history (MaxOdd + StochasticOdds)
Start odds3.14First seen
Current3.53Now
Max odds3.55Highest point
Min odds3.04Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Patro Eisden Maasmechelen – KFCO Beerschot Wilrijk Betting Analysis

The model currently selects 1 at odds 3.83. 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 @ 3.83
Kickoff
Apr 23, 2026 10:30 PM
Confidence
CONF: ?
Start
Started 33d 16h ago
Updated
Updated 33d 18h ago
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