St Gallen – FC Thun

Model: TIPPSH

St Gallen – FC Thun

PREDICTION
1
@ 1.88
StatusArchived prediction
KickoffMag 17, 2026 6:30 PM
ResultLOSS1 - 1
StartStarted 9d 5h ago
V2 ConfidenceMEDIUMExpected ROI 4.31% · n=212
V4 ConfidenceMEDIUMExpected ROI 4.31% · n=212
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 11d 2h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric St Gallen FC Thun
Last 5 form D-W-W-L-W D-L-L-L-L
Avg goals scored 1.60 1.00
Avg goals conceded 1.40 3.00
Home/Away form D-L-W (home) D-L-L-L (away)
Home/Away avg goals 1.00 scored / 1.67 conceded 0.50 scored / 1.75 conceded
Shots on target 6.20 for / 5.80 against 3.20 for / 7.80 against
Home/Away shots on target 7.00 for / 4.33 against (home) 3.50 for / 6.25 against (away)

AI Match Insight

The odds suggest a balanced contest, but recent performance data slightly favors St Gallen. The model gives this selection a reasonable profile, although the confidence level remains measured. St Gallen has produced stronger recent offensive pressure in terms of shots on target.

Odds history (MaxOdd + StochasticOdds)
Start odds2.25First seen
Current1.98Now
Max odds2.25Highest point
Min odds1.98Lowest point
VolatilityHighStable range
TrendDroppingShort term
Model insight

St Gallen – FC Thun Betting Analysis

The model currently selects 1 at odds 1.88. This prediction is generated by the TIPPSH model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 4.31% and 4.31%. 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 prediction received strong market support after the first appearance. Early prices historically produced the best long-term performance for this model profile. 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.
Sample273
Win Rate51.6%
Profit-2.33u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSAF Chilibre - Deportivo Ana Luisa Flores2.123.37%
WINVarnsdorf - Mladá Boleslav B1.893.37%
LOSSSouth Melbourne - Auckland FC II1.843.37%
WINJadran Dekani - NK Krka1.913.37%
LOSSNorth Sunshine Eagles - Langwarrin1.753.37%
LOSSCFR Cluj - FC Arges Pitesti1.853.37%
LOSSImisli - FK Karvan1.803.37%
WINKalmar FF - Degerfors1.953.37%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Slask Wroclaw II - KKS 1925 Kalisz11.984.86%09 May 13:00
FC Spartak Trnava - MSK Zilina11.932.30%10 May 19:00
Pick
1 @ 1.88
Kickoff
Mag 17, 2026 6:30 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 4.31% • n=212
Confidence V4
Exp. ROI V4
4.31% • n=212
Start
Started 9d 5h ago
Updated
Updated 11d 2h ago
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