Sample report
An anonymised Betcipline audit
This is an anonymised sample generated from a sanitized public-history fixture with the same production methodology as a live report. It is not your wallet, not a case study, and not a success story. Betting involves risk. Past performance does not guarantee future results.
Fact
Analysed records
10 decisions (1 open, 9 closed) and 12 activity events.
This is an anonymised sample generated with the same V1 audit engine as a live report. It is not a live wallet import and not a success story. Analyzed: 9 closed positions, 1 open position, 12 activity events.
Biggest pattern in this sample
The largest 3 losing position(s) account for 93.3% of realised losses in this sample.
Sample size 6 (minimum 5). Confidence: low.
Largest 3 closed losses by magnitude divided by the sum of all negative closed realised P&L. Historical comparison in this imported sample. It does not prove that size or category caused the result, and it is not a forecast.
What this sample does well
Strongest eligible group in this sample: crypto (+13.3% closed return).
Sample size 3 (minimum 3). Confidence: low.
Highest closed return among 3 eligible groups (category, else market). Groups with fewer than 3 closed sized decisions are ignored. Historical comparison in this imported sample. It does not prove that size or category caused the result, and it is not a forecast.
Where risk concentrates
Weakest eligible group in this sample: sports (-41.2% closed return).
Sample size 3 (minimum 3). Confidence: low.
Lowest closed return among 3 eligible groups (category, else market). Groups with fewer than 3 closed sized decisions are ignored. Historical comparison in this imported sample. It does not prove that size or category caused the result, and it is not a forecast.
Fact
Realised P&L
-$71.00
Sample size 9 (minimum 1). Confidence: high.
Sum of realised P&L across 9 decision(s) that include a realised P&L value. Open mark-to-market is excluded from this total.
Fact
Return on closed stake
-30.9%
Sample size 9 (minimum 5). Confidence: low.
Closed realised P&L (-71) divided by summed closed stake (230). Past return is not a forecast.
Fact
Category performance
-41.2%
Sample size 3 (minimum 3). Confidence: low.
Lowest closed ROI among eligible categories is sports (3 decisions). Highest is crypto. Categories with fewer than 3 closed decisions are ignored.
Fact
Concentration risk
75.5%
Sample size 10 (minimum 5). Confidence: medium.
sports accounts for 75.51% of total stake across 10 sized decisions. High concentration increases single-theme risk.
Fact
Losing streak
6
Sample size 9 (minimum 5). Confidence: low.
Longest consecutive closed-loss run is 6 on a timestamp-ordered series of 9 closed decisions.
Supporting scores
Coarse 0–100 integers from the documented V1 methodology. Supporting context only — not a ranking, percentile, or profit guarantee.
Evidence
Where do I actually make or lose money?
Realised P&L
-$71.00
Sum of realised P&L across 9 decision(s) that include a realised P&L value. Open mark-to-market is excluded from this total.
Closed realised P&L
-$71.00
Sum of realised P&L on 9 closed decision(s). Kept separate from open exposure.
Open exposure
$15.00
Sum of current exposure on 1 open decision(s). This is not closed-result P&L.
Return on closed stake
-30.9%
Closed realised P&L (-71) divided by summed closed stake (230). Past return is not a forecast.
Evidence
Does my sizing help or hurt historically?
Average stake
$24.50
Arithmetic mean of 10 positive stake values (open and closed).
Median stake
$10.00
Median of 10 positive stake values. Compared with the mean to flag skew from a few large positions.
Stake consistency
99.3%
Sample standard deviation of stake (24.32) divided by mean stake (24.5). Higher values mean less consistent sizing.
Evidence
Where am I overconcentrated?
Concentration risk
75.5%
sports accounts for 75.51% of total stake across 10 sized decisions. High concentration increases single-theme risk.
Largest positions
$80.00
Largest stake is 80 (32.6531% of total stake). Supporting ids are the top three positions.
Evidence
Which behavioural patterns are supported by the data?
Rapid-repeat sessions
1
1 of 8 timestamped sessions contain 4+ events with gaps ≤ 15 minutes. Rapid repeats can indicate impulsive activity.
Losing streak
6
Longest consecutive closed-loss run is 6 on a timestamp-ordered series of 9 closed decisions.
Activity timing
58.3%
58.3333% of timestamped events fall in the UTC 12:00–15:00 window. Weekend (UTC Sat/Sun) share is 8.3333%. Timezone of the user is unknown, so this is descriptive only.
Evidence
Where does that P&L sit by theme?
Evidence
How did drawdowns and sessions look?
Max drawdown
$75.00
Largest peak-to-trough decline on a running sum of 9 timestamped closed P&L values, starting from 0. Missing timestamps are excluded.
Rapid-repeat sessions
1
1 of 8 timestamped sessions contain 4+ events with gaps ≤ 15 minutes. Rapid repeats can indicate impulsive activity.
Process
Which process guardrails are worth considering?
- Cap how much of total stake sits in one category until that share is lower.
- Avoid letting a single position dominate total stake.
- Add a pause between clustered decisions instead of stacking activity in one burst.
- After a losing streak, stop and review rather than immediately making another decision.
- Keep stake sizes in a tighter band relative to typical size. Do not use this as a reason to raise stakes.
Method
How was this calculated?
Metrics, scores and personal patterns come from the documented V1 audit methodology. Missing rows are omitted. This sample is a bounded, anonymised fixture — not an implied all-time wallet history, not causation, and not a profit forecast.
Metrics are descriptive of imported history only. They are not a forecast or a betting recommendation.