ATUS Ferlach – SV Donau Klagenfurt

Model: TipTromba45H

ATUS Ferlach – SV Donau Klagenfurt

PREDICTION
1
@ 4.20
StatusArchived prediction
KickoffMag 08, 2026 9:00 PM
ResultLOSS1 - 1
StartStarted 18d 10h ago
V2 ConfidenceLOWExpected ROI 1.80% · n=133
V4 ConfidenceLOWExpected ROI 1.80% · n=133
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 18d 23h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric ATUS Ferlach SV Donau Klagenfurt
Last 5 form D-D-L-L-W D-W-D-W-L
Avg goals scored 1.00 2.00
Avg goals conceded 2.60 1.20
Home/Away form D-L-W-W (home) D-D-L-L (away)
Home/Away avg goals 1.25 scored / 1.75 conceded 1.00 scored / 2.00 conceded
Shots on target 3.50 for / 6.00 against 5.00 for / 3.40 against
Home/Away shots on target 2.00 for / 5.00 against (home) 3.75 for / 3.75 against (away)

AI Match Insight

The current odds underline the speculative nature of the pick, particularly given the recent form imbalance. If considered, this pick should be approached with caution due to the limited historical confidence.

Odds history (MaxOdd + StochasticOdds)
Start odds4.07First seen
Current4.37Now
Max odds4.37Highest point
Min odds2.46Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

ATUS Ferlach – SV Donau Klagenfurt Betting Analysis

The model currently selects 1 at odds 4.20. This prediction is generated by the TipTromba45H model profile. Both V2 and V4 profiles currently show LOW confidence, with historical expected ROI values of 1.80% and 1.80%. 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+16.83u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSSportivo San Lorenzo Reserves - Sportivo Luqueno Reserves4.201.80%
LOSSFish United - NoPS4.101.80%
WINMaties FC - Grassy Park United4.001.80%
LOSSSJK-j - FC Kiisto4.001.80%
LOSSCanuelas FC Reserves - Yupanqui Reserves4.001.21%
WINVJS Vantaa - FF Jaro4.101.80%
WINAS Binah - ASKO Kara4.331.72%
LOSSMonte Roraima - Manaus4.001.21%
Pick
1 @ 4.20
Kickoff
Mag 08, 2026 9:00 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.80% • n=133
Confidence V4
Exp. ROI V4
1.80% • n=133
Start
Started 18d 10h ago
Updated
Updated 18d 23h ago
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