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 4h 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 10h 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
With no dominant recent form edge, the pick should be interpreted mainly through the model's historical profile. The model does not assign a strong confidence profile here, making the pick more speculative. Shot-on-target data gives additional support to PEC Zwolle (W)'s attacking profile.
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
| Result | Match | Odd | Exp. ROI |
|---|---|---|---|
| WIN | Chengdu Rongcheng Reserves - Guizhou Zhucheng Athletic | 2.26 | 0.84% |
| LOSS | Nottm Forest - Bournemouth | 2.02 | 1.21% |
| LOSS | Usti N Orlici - Slovan Liberec B | 2.03 | 1.21% |
| LOSS | PFC Oleksandria - FC Kryvbas Kriviy Rih | 2.27 | 0.84% |
| WIN | Brondby - FC Copenhagen | 2.29 | 0.84% |
| LOSS | Qingdao West Coast - Beijing Guoan | 2.06 | 1.21% |
| LOSS | Puszcza Niepolomice - LKS Lodz | 2.15 | 0.58% |
| LOSS | Dynamo Makhachkala - Spartak Moscow | 2.18 | 0.58% |
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 4h ago
Updated
Updated 4d 10h ago