Kataller Toyama – Albirex Niigata

Model: TIPPSH

Kataller Toyama – Albirex Niigata

PREDICTION
1
@ 2.24
StatusArchived prediction
KickoffApr 29, 2026 9:00 AM
ResultWIN2 - 0
StartStarted 27d 19h ago
V2 ConfidenceMEDIUMExpected ROI 4.86% · n=299
V4 ConfidenceMEDIUMExpected ROI 4.86% · n=299
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 27d 21h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Kataller Toyama Albirex Niigata
Last 5 form W-W-W-W-W L-W-W-L-D
Avg goals scored 3.00 0.60
Avg goals conceded 0.80 0.80
Home/Away form W-W-W (home) L-L (away)
Home/Away avg goals 3.67 scored / 0.67 conceded 0.50 scored / 2.00 conceded
Shots on target 6.20 for / 3.60 against 3.80 for / 6.80 against
Home/Away shots on target 6.67 for / 3.00 against (home) 2.00 for / 7.50 against (away)

AI Match Insight

The odds suggest a balanced contest, but recent performance data slightly favors Kataller Toyama. The model gives this selection a reasonable profile, although the confidence level remains measured. Shot-on-target data gives additional support to Kataller Toyama's attacking profile.

Odds history (MaxOdd + StochasticOdds)
Start odds1.85First seen
Current2.24Now
Max odds2.24Highest point
Min odds1.85Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Kataller Toyama – Albirex Niigata Betting Analysis

The model currently selects 1 at odds 2.24. This prediction is generated by the TIPPSH model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 4.86% and 4.86%. 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.
Sample136
Win Rate44.1%
Profit-9.66u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSBangor Celtic FC - St Mochtas2.272.49%
LOSSAF Chilibre - Deportivo Ana Luisa Flores2.123.37%
WINAscoli - Catania2.282.49%
WIN29 de Septiembre FBC - Club General Martin Ledesma2.313.15%
LOSSCentral & Western - Hoi King2.203.37%
WINKariya - Gakunan F Mosuperio2.282.49%
WINLeones de Rosario - General Lamadrid2.382.49%
LOSSB36 Torshavn II - Vikingur Gota II2.213.37%
Pick
1 @ 2.24
Kickoff
Apr 29, 2026 9:00 AM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 4.86% • n=299
Confidence V4
Exp. ROI V4
4.86% • n=299
Start
Started 27d 19h ago
Updated
Updated 27d 21h ago
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