JyTy – PIF Parainen

Model: TipTromba15H

JyTy – PIF Parainen

PREDICTION
1
@ 13.00
StatusArchived prediction
KickoffApr 23, 2026 7:15 PM
ResultLOSS1 - 3
StartStarted 33d 6h ago
V2 ConfidenceNONEExpected ROI -1.81% · n=22
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 14h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric JyTy PIF Parainen
Last 5 form L-L W-W-W-W
Avg goals scored 1.00 3.75
Avg goals conceded 3.00 0.25
Home/Away form L (home) W-W-W (away)
Home/Away avg goals 1.00 scored / 3.00 conceded 3.67 scored / 0.33 conceded
Shots on target 3.50 for / 6.50 against 9.50 for / 1.50 against
Home/Away shots on target 2.00 for / 9.00 against (home) 9.50 for / 1.50 against (away)

AI Match Insight

The selection carries significant risk according to both market expectations and recent form indicators. This selection carries a lower-confidence signal, so the risk profile remains elevated.

Odds history (MaxOdd + StochasticOdds)
Start odds3.25First seen
Current13.00Now
Max odds15.00Highest point
Min odds3.25Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

JyTy – PIF Parainen Betting Analysis

The model currently selects 1 at odds 13.00. This prediction is generated by the TipTromba15H model profile. The V2 confidence band is NONE, with a historical expected ROI of -1.81% across 22 similar predictions. The available sample size is still relatively limited, which may increase performance variability. 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 @ 13.00
Kickoff
Apr 23, 2026 7:15 PM
Confidence
CONF: NONE
Exp. ROI V2
Exp. ROI -1.81% • n=22
Start
Started 33d 6h ago
Updated
Updated 33d 14h ago
Torna in alto