SAK Klagenfurt – KAC 1909

Model: TIPPSH

SAK Klagenfurt – KAC 1909

PREDICTION
1
@ 2.15
StatusArchived prediction
KickoffMag 22, 2026 8:00 PM
ResultWIN2 - 1
StartStarted 4d 5h ago
V2 ConfidenceLOWExpected ROI 1.04% · n=5438
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 4d 8h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric SAK Klagenfurt KAC 1909
Last 5 form W-D-D-D-W L-D-D-D-W
Avg goals scored 1.20 1.20
Avg goals conceded 0.80 1.20
Home/Away form W-D-L-D-W (home) L-W-L-L-L (away)
Home/Away avg goals 1.20 scored / 1.40 conceded 1.20 scored / 2.20 conceded
Shots on target 4.00 for / 5.00 against 3.80 for / 6.80 against
Home/Away shots on target 4.50 for / 4.50 against (home) 4.67 for / 7.67 against (away)

AI Match Insight

This looks like a competitive matchup, although the form profile gives the selected side some support. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction.

Odds history (MaxOdd + StochasticOdds)
Start odds1.89First seen
Current2.15Now
Max odds2.15Highest point
Min odds1.87Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

SAK Klagenfurt – KAC 1909 Betting Analysis

The model currently selects 1 at odds 2.15. This prediction is generated by the TIPPSH model profile. The V2 confidence band is LOW, with a historical expected ROI of 1.04% across 5438 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.
Sample56
Win Rate48.2%
Profit+0.82u
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Pick
1 @ 2.15
Kickoff
Mag 22, 2026 8:00 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.04% • n=5438
Start
Started 4d 5h ago
Updated
Updated 4d 8h ago
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