Tipster Selection: Risk, Losing Runs and Maximum Drawdowns

drawdowns and longest losing runs - looking into the future and learning from the past

Selecting a tipster to follow can be both exciting and daunting. The promise of potential gains is alluring, but understanding and managing the associated risks are vital.

Two key metrics used to evaluating a tipster’s performance and risk management are:

  1. estimated longest losing run (ELLR) and
  2. maximum historic drawdown (MDD)

So let’s explore and compare these metrics and what they mean for an investor seeking a reliable tipster.

Estimated Longest Losing Run (ELLR): Peering Into the Future

The estimated longest losing run is a forward-looking metric. It attempts to anticipate the maximum number of consecutive losing trades or periods a tipster’s strategy may encounter.

It is calculated based on the historical bet win rate and the total number of bets.

For investors, this metric provides insights into the potential challenges they might face in terms of sustained losses.

Consider a tipster with a historical win rate of 75% and a track record of 200 trades. With a 75% win rate the volatility is likley to be low but statistically this tipster might experience a losing streak of five bets. This calculation is instrumental in setting expectations and preparing investors for the inevitable ebb and flow of market conditions.


The estimated longest losing run holds significance not only in terms of risk management but also for mental readiness. Knowing the potential length of a losing streak will allow you to brace yourself for inevitable downturns. It allows you to approach trading with a disciplined mindset. It can reduce emotional stress during challenging periods, and help you develop adaptive risk management strategies.

Maximum Drawdown (MDD): Lessons from the Past

By contrast, the maximum historic drawdown is a backward-looking metric. It’s the largest peak-to-trough decline in a betting bank that has happened over a specific historical time period.

Its a retrospective view of the worst-case scenario in terms of capital loss, regardless of the sequence of bets.

To calculate the maximum historic drawdown, one examines the historical equity curve of the tipster’s recommendations. The drawdown is the largest percentage decline from a peak to the subsequent trough.

Example: if the tipster’s portfolio reached a high of $10,000 and then dropped to $6,000 before recovering, the drawdown would be $4,000 or 40%.


A smaller drawdown implies greater resilience in preserving capital. On the other hand a larger drawdown suggests a riskier strategy that may take more time to recover. This metric helps in assessing the overall risk-reward profile of a tipster’s recommendations. It provides valuable insights into the strategy’s historical performance under adverse market conditions.

Comparative Analysis:

1. Forward-Looking vs. Backward-Looking:

Estimated Longest Losing Run: This metric is forward-looking, projecting potential challenges based on historical performance. It prepares investors for what might lie ahead, helping them navigate the uncertainties of future betting periods.

Maximum Historic Drawdown: This metric is backward-looking. It provides a retrospective view of the worst-case scenario a tipster has already weathered. It offers insights into historical risk tolerance and recovery capabilities.

2. Psychological Preparedness vs. Historical Resilience:

Estimated Longest Losing Run: Helps investors prepare mentally for challenging periods by anticipating the potential length of losing streaks. It addresses the psychological aspect of trading, fostering discipline and rational decision-making.

Maximum Historic Drawdown: Offers a historical perspective on a tipster’s ability to withstand adverse market conditions. It informs investors about the strategy’s past resilience and the magnitude of losses experienced during challenging periods.

3. Adaptability and Risk Management:

Estimated Longest Losing Run: The ELLR provides information to enable you to adapt your risk management strategy. It can guide you to make proactive adjustments to stake sizes. And help with decisions on portfolio management and the contents of your overall portfolio.

Maximum Historic Drawdown: Contributes to an understanding of a tipster’s overall risk management capabilities by assessing historical drawdowns. You can evaluate how quickly the strategy has recovered from significant losses and adjust your risk parameters accordingly.

Conclusion: Making Informed Choices for Tipster Selection

Selecting a tipster to follow requires a comprehensive evaluation of risk and performance metrics.

The estimated longest losing run and maximum historic drawdown provide valuable insights that can guide your decision-making process.

The estimated longest losing run figure can prepare you psychologically for future down-turns and help you manage risk. It equips you with the ability to anticipate and navigate potential challenges, providing a guide for a disciplined approach to trading.

Simultaneously, delve into the historical perspective offered by the maximum historic drawdown. Understand the worst-case scenarios a tipster has faced in the past, evaluating the strategy’s resilience and recovery capabilities.

A thorough analysis of historical drawdowns contributes to a full understanding of risk. It also helps in assessing the strategy’s ability to weather adverse market conditions.

Ultimately, the most informed decisions arise from a holistic consideration of these metrics alongside other relevant factors.

Evaluate a tipster’s entire track record, risk-adjusted returns, and the alignment of their strategy with your financial goals.

The combination of estimated longest losing run (ELLR) and maximum historic drawdown (MDD) provides a balanced framework. It helps you make choices that align with your risk tolerance and your investment objectives.



I'm Rob, I have an M.Sc. In Mathematics and Computer Science and I am the creator & writer of TheBetInvestor. I provide honest independent assessments of sports tipsters based on statistical and financial investment analysis. My aim is to find profitable tipsters and help you safely navigate the murky waters of the online sports tips world.

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