Ajax – PSV

Model: TIPPSA

Ajax – PSV

PREDICTION
2
@ 2.77
StatusArchived prediction
KickoffMag 02, 2026 10:00 PM
ResultLOSS2 - 2
StartStarted 24d 6h ago
V2 ConfidenceHIGHExpected ROI 6.31% · n=124
V4 ConfidenceHIGHExpected ROI 6.31% · n=124
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 24d 9h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Ajax PSV
Last 5 form D-W-W-L D-W-W-W
Avg goals scored 2.00 3.50
Avg goals conceded 1.00 1.50
Home/Away form D-L (home) D-W (away)
Home/Away avg goals 1.50 scored / 2.00 conceded 2.00 scored / 1.00 conceded
Shots on target 4.50 for / 3.50 against 7.00 for / 4.50 against
Home/Away shots on target 3.00 for / 4.00 against (home) 4.50 for / 4.00 against (away)

AI Match Insight

While the odds remain elevated, the underlying metrics suggest the selection may be more competitive than the market implies. Historical model performance remains supportive, with similar HIGH underdog setups showing encouraging long-term results. Shot-on-target data gives additional support to PSV's attacking profile.

Odds history (MaxOdd + StochasticOdds)
Start odds2.51First seen
Current2.77Now
Max odds2.77Highest point
Min odds2.45Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Ajax – PSV Betting Analysis

The model currently selects 2 at odds 2.77. This prediction is generated by the TIPPSA model profile. Both V2 and V4 profiles currently show HIGH confidence, with historical expected ROI values of 6.31% and 6.31%. Historical expected profitability for this profile is positive, but the edge appears more moderate. 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.
Sample24
Win Rate41.7%
Profit+4.58u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSFC Kitzbuhel - Hohenems2.827.70%
WINMaccabi Panthers Ashdod (W) - FC Ramat Hasharon (W)2.837.70%
LOSSDeportivo Moquegua - AD Tarma2.946.31%
LOSSMadura United - Bali United2.825.70%
LOSSBayer Leverkusen - RB Leipzig3.006.31%
WINAubagne Air Bel - Stade Briochin2.765.70%
LOSSNantes (W) - Lyon (W)3.016.31%
WINStrasbourg (W) - Le Havre (W)3.025.70%
Pick
2 @ 2.77
Kickoff
Mag 02, 2026 10:00 PM
Confidence
CONF: HIGH
Exp. ROI V2
Exp. ROI 6.31% • n=124
Confidence V4
Exp. ROI V4
6.31% • n=124
Start
Started 24d 6h ago
Updated
Updated 24d 9h ago
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