Pachuca – Toluca

Model: TipA1

Pachuca – Toluca

PREDICTION
2
@ 2.10
StatusArchived prediction
KickoffMag 11, 2026 5:07 AM
ResultLOSS2 - 0
StartStarted 16d 3h ago
V2 ConfidenceNONEExpected ROI -1.48% · n=553
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 16d 8h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Pachuca Toluca
Last 5 form W-W-L-L-W L-W-L-L-W
Avg goals scored 1.40 1.80
Avg goals conceded 1.20 1.20
Home/Away form W-L-W (home) L-L-L-L-W (away)
Home/Away avg goals 2.00 scored / 1.33 conceded 1.60 scored / 2.00 conceded
Shots on target 4.20 for / 5.40 against 6.40 for / 3.80 against
Home/Away shots on target 5.33 for / 2.67 against (home) 4.40 for / 4.60 against (away)

AI Match Insight

The price and recent metrics both point to a relatively open contest. The model does not assign a strong confidence profile here, making the pick more speculative. Toluca has produced stronger recent offensive pressure in terms of shots on target.

Odds history (MaxOdd + StochasticOdds)
Start odds2.15First seen
Current2.32Now
Max odds2.38Highest point
Min odds2.05Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Pachuca – Toluca Betting Analysis

The model currently selects 2 at odds 2.10. This prediction is generated by the TipA1 model profile. The V2 confidence band is NONE, with a historical expected ROI of -1.48% across 553 similar predictions. The model profile is supported by a broad historical sample, making the long-term estimate more informative. 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.
Sample106
Win Rate55.7%
Profit+16.55u
Historical Similar Predictions
ResultMatchOddExp. ROI
WINBrisbane Olympic FC - Lions FC2.00-1.48%
LOSSFK Zhenys (W) - FK Kyzylzhar (W)2.05-1.48%
WINAlbion FC Reserves - Boston River Reserves2.20-1.48%
WINSao Paulo U20 (W) - Flamengo U20 (W)2.10-3.85%
WINJagiellonia Bialystok U19 - Gornik Zabrze U192.05-1.48%
LOSSJK Tallinna Kalev II - FC Levadia Tallinn U192.10-1.48%
WINFA 2000 - Nykobing2.15-1.48%
LOSSAtletico Ottawa - Forge FC2.00-1.48%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Anioly Garczegorze - Arka Gdynia II22.10-1.48%27 May 18:00
Supra du Quebec - Inter Toronto22.00-1.48%30 May 01:00
Pick
2 @ 2.10
Kickoff
Mag 11, 2026 5:07 AM
Confidence
CONF: NONE
Exp. ROI V2
Exp. ROI -1.48% • n=553
Start
Started 16d 3h ago
Updated
Updated 16d 8h ago
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