Thespa Gunma – Vegalta Sendai

Model: TIPPSA

Thespa Gunma – Vegalta Sendai

PREDICTION
2
@ 2.11
StatusArchived prediction
KickoffApr 29, 2026 9:00 AM
ResultWIN1 - 3
StartStarted 27d 21h ago
V2 ConfidenceLOWExpected ROI 0.58% · n=409
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 28d ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Thespa Gunma Vegalta Sendai
Last 5 form L-W-W-L-D W-W-W-W-D
Avg goals scored 1.80 2.80
Avg goals conceded 2.40 0.60
Home/Away form L-W (home) W-W (away)
Home/Away avg goals 2.00 scored / 2.00 conceded 3.00 scored / 0.50 conceded
Shots on target 5.00 for / 5.00 against 5.60 for / 2.60 against
Home/Away shots on target 4.00 for / 6.50 against (home) 5.50 for / 3.00 against (away)

AI Match Insight

The price is not extreme, and recent results provide a reasonable statistical basis for the pick. If considered, this pick should be approached with caution due to the limited historical confidence.

Odds history (MaxOdd + StochasticOdds)
Start odds1.55First seen
Current1.79Now
Max odds1.83Highest point
Min odds1.53Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Thespa Gunma – Vegalta Sendai Betting Analysis

The model currently selects 2 at odds 2.11. This prediction is generated by the TIPPSA model profile. The V2 confidence band is LOW, with a historical expected ROI of 0.58% across 409 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.
Sample78
Win Rate51.3%
Profit+6.19u
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%
LOSSRebordosa - Leca2.360.84%
WINBrondby - FC Copenhagen2.290.84%
LOSSQingdao West Coast - Beijing Guoan2.061.21%
LOSSPuszcza Niepolomice - LKS Lodz2.150.58%
Pick
2 @ 2.11
Kickoff
Apr 29, 2026 9:00 AM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 0.58% • n=409
Start
Started 27d 21h ago
Updated
Updated 28d ago
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