FK Transinvest – FK Zalgiris Vilnius

Model: TIPPSH

FK Transinvest – FK Zalgiris Vilnius

PREDICTION
1
@ 2.93
StatusArchived prediction
KickoffMag 17, 2026 3:15 PM
ResultWIN1 - 0
StartStarted 9d 9h ago
V2 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
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 9d 11h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric FK Transinvest FK Zalgiris Vilnius
Last 5 form W-D-D-W-W L-D-W-L-W
Avg goals scored 2.60 1.60
Avg goals conceded 0.60 1.00
Home/Away form W-D-L (home) L-D-L-W-L (away)
Home/Away avg goals 1.00 scored / 1.00 conceded 1.20 scored / 1.20 conceded
Shots on target 4.60 for / 2.60 against 3.00 for / 3.80 against
Home/Away shots on target 3.67 for / 3.33 against (home) 3.20 for / 3.00 against (away)

AI Match Insight

Although the odds are relatively high, FK Transinvest shows enough recent performance support to make the pick interesting from a risk/reward perspective. This selection carries a lower-confidence signal, so the risk profile remains elevated. FK Transinvest is also generating more shots on target, adding offensive support to the pick.

Odds history (MaxOdd + StochasticOdds)
Start odds2.61First seen
Current2.93Now
Max odds2.93Highest point
Min odds2.60Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

FK Transinvest – FK Zalgiris Vilnius Betting Analysis

The model currently selects 1 at odds 2.93. This prediction is generated by the TIPPSH model profile. 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.
Pick
1 @ 2.93
Kickoff
Mag 17, 2026 3:15 PM
Confidence
CONF: ?
Start
Started 9d 9h ago
Updated
Updated 9d 11h ago
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