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Peter Anthonisz

Tipster dossier — settled-bet performance through 2026-05-30 16:16 UTC

Verdict
STRUCTURALLY LOSING
Small sample (1 bets) — anything below ~100 settled bets means CIs are wide enough to be near-useless. Calibration is negative: actual win rate 0.0% trails market-implied 25.0% by -25.0pp — picks have negative skill relative to fair odds.

Charts

Cumulative P/L (theoretical $1 stakes)

A straight upward line = consistent profitability. Step-jumps = single fortunate bets carrying the curve.

Monthly ROI %

Top 10 P/L outliers

ROI by odds bracket

Calibration — actual vs implied win rate by odds

Blue bars under orange = picks lose to market expectations.

ROI by day of week

At a glance

Total Bets
1
Wins
0
Win Rate
0.0%
Avg Odds
4.00
Total P/L ($1 stakes)
$-1.00
ROI
-100.0%
Implied Win % (1/odds)
25.0%
Calibration Gap
-25.0pp

What's driving the ROI?

Strip away the top winning bets and see how the picture changes — a stable record degrades gracefully, a lucky record collapses.

(insufficient data)

Recent trend

(insufficient sample to compare recent vs prior)

Monthly performance

MonthNWin %Avg OddsP/LROI
2026-0310.0%4.00$-1.00-100.0%

By odds bracket

OddsNWin %P/LROI
3.0-5.010.0%$-1.00-100.0%

By pre-race rank

No pre-race rank data yet for this tipster.

Strategy Zone (rank ≤ 3 AND odds ≥ 5)

No rank data yet.

By source

(no source data)

By venue

(no venue data with sufficient samples)

By day of week

DayNWin %P/LROI
Tue10.0%$-1.00-100.0%

Place market

No place outcomes captured yet for this tipster.

Biggest wins

DateVenueSelectionOddsP/L
No wins

Biggest losses

DateVenueSelectionOddsP/L
2026-03-17terangVille De Lumiere4.00$-1.00
Generated 2026-05-30 16:16 UTC. Stats based on theoretical $1 BACK stakes settled on Betfair. Place data uses captured Betfair Starting Price. ROI = total P/L divided by total bets — high variance at small samples.