Silkeborg IF – Randers FC

Model: TIPPSA

Silkeborg IF – Randers FC

PREDICTION
2
@ 2.61
StatusArchived prediction
KickoffApr 26, 2026 4:00 PM
ResultLOSS2 - 0
StartStarted 30d 9h ago
V2 ConfidenceMEDIUMExpected ROI 3.31% · n=578
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 30d 19h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Silkeborg IF Randers FC
Last 5 form W-W-D-W-L L-D-L-L-D
Avg goals scored 1.80 1.00
Avg goals conceded 2.20 2.00
Home/Away form W-D-W (home) L-L-D (away)
Home/Away avg goals 2.33 scored / 1.00 conceded 0.67 scored / 2.00 conceded
Shots on target 6.20 for / 7.60 against 5.60 for / 4.60 against
Home/Away shots on target 7.00 for / 6.33 against (home) 6.00 for / 5.33 against (away)

AI Match Insight

Recent performances only partially support the selection, which helps explain the higher market price. The model gives this selection a reasonable profile, although the confidence level remains measured.

Odds history (MaxOdd + StochasticOdds)
Start odds2.34First seen
Current2.61Now
Max odds2.61Highest point
Min odds2.26Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Silkeborg IF – Randers FC Betting Analysis

The model currently selects 2 at odds 2.61. This prediction is generated by the TIPPSA model profile. The V2 confidence band is MEDIUM, with a historical expected ROI of 3.31% across 578 similar predictions. Historical expected profitability for this profile is positive, but the edge appears more moderate. 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.
Sample111
Win Rate40.5%
Profit+4.15u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSCadiz - Leganes2.864.96%
LOSSNK Radomlje - NS Mura2.554.13%
WINHelsingborg - Varbergs BoIS FC2.634.13%
WINGuayaquil City - Orense2.483.59%
WINAlmagro - San Martin SJ2.624.44%
WINPolonia Bytom - Slask Wroclaw2.573.31%
WINFH Hafnarfjordur - KA Akureyri2.544.44%
LOSSMotor Lublin - Cracovia Krakow2.533.31%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Retro FC Brasil - America RN22.703.31%30 Apr 02:30
Pick
2 @ 2.61
Kickoff
Apr 26, 2026 4:00 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 3.31% • n=578
Start
Started 30d 9h ago
Updated
Updated 30d 19h ago
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