ADO Den Haag (W) – PEC Zwolle (W)

Model: TIPPSA

ADO Den Haag (W) – PEC Zwolle (W)

PREDICTION
2
@ 2.10
StatusArchived prediction
KickoffMag 22, 2026 10:00 PM
ResultLOSS3 - 0
StartStarted 4d 6h ago
V2 ConfidenceLOWExpected ROI 1.21% · n=228
V4 ConfidenceLOWExpected ROI 1.21% · n=228
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 4d 12h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric ADO Den Haag (W) PEC Zwolle (W)
Last 5 form W-L-W-D-W L-W-L-W-L
Avg goals scored 1.80 1.80
Avg goals conceded 1.00 2.40
Home/Away form W-W (home) L-L-L (away)
Home/Away avg goals 3.50 scored / 1.00 conceded 0.67 scored / 3.00 conceded
Shots on target 6.20 for / 5.60 against 9.00 for / 4.20 against
Home/Away shots on target 10.00 for / 6.00 against (home) 8.00 for / 6.00 against (away)

AI Match Insight

The matchup looks relatively balanced, so the value of the pick depends more on the model profile than on a clear form advantage. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction. PEC Zwolle (W) has produced stronger recent offensive pressure in terms of shots on target.

Odds history (MaxOdd + StochasticOdds)
Start odds1.82First seen
Current2.20Now
Max odds2.28Highest point
Min odds1.82Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

ADO Den Haag (W) – PEC Zwolle (W) Betting Analysis

The model currently selects 2 at odds 2.10. This prediction is generated by the TIPPSA model profile. Both V2 and V4 profiles currently show LOW confidence, with historical expected ROI values of 1.21% and 1.21%. 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.
Sample77
Win Rate51.9%
Profit+7.19u
Historical Similar Predictions
ResultMatchOddExp. ROI
WINChengdu Rongcheng Reserves - Guizhou Zhucheng Athletic2.260.84%
LOSSNottm Forest - Bournemouth2.021.21%
LOSSUsti N Orlici - Slovan Liberec B2.031.21%
LOSSPFC Oleksandria - FC Kryvbas Kriviy Rih2.270.84%
WINBrondby - FC Copenhagen2.290.84%
LOSSQingdao West Coast - Beijing Guoan2.061.21%
LOSSPuszcza Niepolomice - LKS Lodz2.150.58%
LOSSDynamo Makhachkala - Spartak Moscow2.180.58%
Pick
2 @ 2.10
Kickoff
Mag 22, 2026 10:00 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.21% • n=228
Confidence V4
Exp. ROI V4
1.21% • n=228
Start
Started 4d 6h ago
Updated
Updated 4d 12h ago
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