Glasgow City (W) – Rangers (W)

Model: TIPPSA

Glasgow City (W) – Rangers (W)

PREDICTION
2
@ 2.11
StatusArchived prediction
KickoffMag 24, 2026 4:10 PM
ResultLOSS6 - 0
StartStarted 2d 16h ago
V2 ConfidenceMEDIUMExpected ROI 2.63% · n=132
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 2d 19h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Glasgow City (W) Rangers (W)
Last 5 form W-D-L-L-D L-W-W-W-W
Avg goals scored 2.20 2.00
Avg goals conceded 1.40 1.20
Home/Away form W-D-L-L (home) L-W-W (away)
Home/Away avg goals 1.75 scored / 0.75 conceded 2.00 scored / 2.00 conceded
Shots on target 5.40 for / 4.40 against 5.80 for / 3.80 against
Home/Away shots on target 5.75 for / 3.75 against (home) 6.00 for / 3.33 against (away)

AI Match Insight

This looks like a competitive matchup, although the form profile gives the selected side some support. There is some statistical support behind the pick, but the historical signal is not strong enough to be aggressive.

Odds history (MaxOdd + StochasticOdds)
Start odds1.81First seen
Current2.10Now
Max odds2.15Highest point
Min odds1.72Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Glasgow City (W) – Rangers (W) Betting Analysis

The model currently selects 2 at odds 2.11. This prediction is generated by the TIPPSA model profile. The V2 confidence band is MEDIUM, with a historical expected ROI of 2.63% across 132 similar predictions. 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 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.
Sample104
Win Rate44.2%
Profit-3.91u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSSC Kiryat Yam - Maccabi Petah Tikva2.253.43%
LOSSLobos UPNFM Reserves - CD Marathon Reserves2.182.63%
LOSSRadnik Bijeljina - Borac Banja Luka2.182.63%
LOSSADO Den Haag (W) - PEC Zwolle (W)2.254.13%
LOSSAFC Hermannstadt - FCSB2.263.31%
LOSSKasimpasa - Galatasaray2.273.31%
LOSSValur Reykjavik - Breidablik2.164.31%
LOSSParnu JK Vaprus II - JK Trans Narva II2.044.31%
Pick
2 @ 2.11
Kickoff
Mag 24, 2026 4:10 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 2.63% • n=132
Start
Started 2d 16h ago
Updated
Updated 2d 19h ago
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