— Verified track record · 12 months
4,918 settled positions. CLV +16.5%. Sharpe 5.62. Every position, every month, no filtering.
+16.48 %
over 2,550 settled positions · last 12 months
CLV measures whether we take our positions at better odds than the market eventually settles at. A positive CLV is the mathematical signature of a real edge: it shows our model sees before the market. Unlike ROI or win rate, CLV does not depend on short-term variance.
→ Why CLV is the most important metric4.16
Higher than 95 % of hedge funds
+6.3 %
ROI on units staked · flat-bet · ~0.5 %/month on average
Over the last 12 months
5,229
All leagues — winning and losing. Full transparency.
10 significant leagues out of 99 —
NHL
NBA
EFL
PL
LA LIGA
MLB
ARG
MLS
MADRID OPEN (WTA)
L1
✓ Significant = sample of 100+ positions, statistically reliable. limited = 30-99 positions, dimmed values. Below 30 positions, Win % and ROI display "n/a".
Performance varies by sport. Our overall edge comes from diversification.
OddsLab numbers come from your live data, not a brochure.
| Criterion | OddsLab | Telegram Tipsters | Financial markets |
|---|---|---|---|
| Results transparency | ✓ All public | ✗ Cherry-picking | ✓ Standard |
| Average annualized return | +6.3% | Variable, often negative | ~10% (S&P) |
| Sharpe ratio | 4.16 | Unknown | 0.5–1.5 |
| Methodology | ✓ Documented quantitative | Opaque | ✓ Documented |
| Maximum drawdown | <12.9% | Often >20% | 30–50% (crashes) |
| Published sample size | 5,229 positions | No | N/A |
Past performance is not indicative of future results. Sharpe and drawdown computed over a 12-month rolling window.
Updated daily from the production database.
These numbers are non-individualizing aggregates: no user can be re-identified from a total. Cohort metrics (positive CLV) apply a k-anonymity rule — n ≥ 50 — before publication.50+
Active users
At least 1 position · last 30 days
5,229
Positions tracked
Cumulative since launch
3.7
Bookmakers / user
Connected on average
2
Markets covered
Distinct regions (US · CA · EU · UK · AU · INTL)
How these numbers are produced — no ambiguity.
All results come from real positions opened by OddsLab users — no simulations, no backtesting presented as live performance.
Win rate, ROI, and edge are computed only on settled positions. Open positions are not included in the stats.
CLV (Closing Line Value) compares our entry odds to the market's closing odds. A positive CLV proves that our models capture real value, not noise.
Data is updated automatically from the live platform, with no manual intervention.
No position is ever removed retroactively. Losses are visible just like gains.
On this page, two return numbers coexist. They measure the same reality from two different angles — each has its formula, its time period, and its interpretation.
① Flat-bet ROI · 12-month rolling
ROI = Σ(profit_unit) / N_positions × 100
Average gain per stake, with a constant stake of 1 unit per position. Insensitive to capital size. Shown in the KPI strip (e.g. : +7 % ROI 12m).
② Cumulative ROI · equity curve
ROI_cumulative(t) = Σ_weeks (mean(profit_unit) × 100)
Sum of weekly ROIs over the period. Projected linearly onto a reference capital to visualize the drift (e.g. : +304 % over 12 months). No compounded reinvestment — it's a flat-bet cumulative, not a Kelly compounded curve.
Why both? Average ROI measures the quality of a single pick. Cumulative ROI measures what the strategy has produced over time. The two can look very different without contradiction — a modest edge per stake (~7 %) applied to several hundred positions per year translates into a high cumulative.
The real questions, with the real answers.
5,229 settled positions · trailing 12 months
All settled positions (WON or LOST) over the trailing 12 months. Cumulative PnL and CLV are over the entire available history. Win rate and ROI are over the 12-month window to reflect recent performance.Cumulative PnL
+331.1u
over 5,229 positions
Win rate
46.2 %
WON / (WON+LOST)
Flat-bet ROI
+6.3 %
Average per stake · 12 months
Average CLV
+16.48 %
12 months · odds taken vs close
Pick a shorter window to zoom in on variance, or keep the default 12-month window.
Short-term variance is normal. Edge is measured over 100+ cumulative positions across multiple months — see full sample above.
Cumulative · last 12 months
+331.1u
Win rate
46.2 %
Sample
5,229 pos.
Every month is published. Including losing ones.
Losing months are part of any investment system. What matters is the long-term trajectory.
— Proof by example
Founder account opened with $1,000 initial bankroll. Full Kelly criterion strategy on OddsLab positions detected by the terminal. Aggressive sizing, disciplined execution. Like any high-performing account, subject to progressive bookmaker limits beyond 6 months — which is why this mode isn't recommended as a long-term strategy.
Verified individual case. Performance is not guaranteed reproducible. Significant variance in Aggressive mode. This result does not constitute a promise of gain.
— Capital projection
Three sizing modes, based on 12 months of verified performance.
Projections based on OddsLab performance over the last 12 months (yield +7% on staked units, 94 positions/week). Kelly sizing assumes discipline and consistent execution. Short-term variance not modeled. Aggressive mode subject to progressive bookmaker limits. Past performance does not guarantee future results.
— Profitability
Assumption: average flat-bet ROI of 5%. Adjust the weekly volume in each card to see break-even shift in real time.
Estimate based on average flat-bet ROI. Short-term variance not modeled — individual results may vary.
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