What is ABI in poker and how to calculate it

In tournament poker, results almost never reflect the actual quality of play in the short term. Even with correct decisions, a player may face a prolonged downswing*, lose part of their bankroll*, and start making increasingly risky decisions.

Often, the issue arises not in hand playing strategy, but on a more basic level—in tournament selection. A player might be profitable, but regularly enter events with an inflated buy-in, which increases variance and disrupts result stability.

That is why understanding ABI is a move towards a more disciplined and sustainable model of play.

*A downswing is a period where a player loses for an extended time or performs worse than expected.

*Bankroll is the sum of money a player has set aside specifically for playing poker.

What is ABI in Poker

ABI (Average Buy-In) is a metric that reflects the average cost of tournaments a player enters over the long run.

Unlike the standard buy-in, which shows the cost of a single event, ABI describes the entire tournament schedule. This is fundamentally important because most MTT players simultaneously play dozens of tournaments with different buy-ins.

Thus, one expensive tournament by itself does not determine the level of play. Its impact is only felt through the change in the average value.

Amateurs often focus on individual tournaments and their prizes, whereas a professional focuses on the long run. For them, it's not which tournament is played, but how it affects the overall workload and risk.

In this sense, ABI becomes a tool that transforms the game from fragmented decisions into a systematic process.

Formula for ABI and Calculation Examples

Formally, ABI is calculated using a simple formula:

ABI = Sum of all buy-ins ÷ Number of tournaments played

However, the formula itself is just the beginning. It’s more important to understand how it reflects the structure of the game.

Simple Example

A player played 5 tournaments with the following buy-ins: 

$5 + $11 + $11 + $22 + $11 = $60

ABI = $60 / 5 = $12

This example shows that even one more expensive tournament affects the final value. If there had been another $11 tournament instead of the $22 one, ABI would have decreased.

This means that any deviation from the base limit increases the overall level of risk.

Distance Example

In one month, a player played:

— 50 tournaments at $10
— 20 tournaments at $15
— 5 tournaments at $30

Total sum: 50×10 + 20×15 + 5×30 = $950

Number of tournaments: 75

ABI = 950 / 75 ≈ $11.9

Here, it is clear how balance works. Despite the presence of expensive tournaments, the overall level remains close to the base.

This is what allows poker professionals to add more expensive events without destroying their bankroll.

Why ABI is Needed

The main function of ABI is risk management over the long run.

In MTT, variance* is significantly higher than in cash games. Even a strong player can go long periods without hitting the prizes, and if the buy-in level is chosen incorrectly, the bankroll cannot withstand such fluctuations.

*Variance is the deviation of actual results from expected ones due to randomness. Simply put, it's the influence of luck in the short term.

For more details on what variance is in poker, you can read our article. 

ABI allows stabilization of the situation through several effects:

• softens the impact of individual expensive tournaments

• limits the average workload level

• makes results more predictable

Moreover, ABI performs a psychological function.

A player who focuses on the average buy-in* makes fewer emotional decisions. They do not raise limits after a successful series and do not attempt to recover in expensive tournaments after losses. 

*Buy-in in poker is the amount of money paid to enter a game, i.e., the cost of participating in a tournament. 

How Many Buy-ins Are Needed for a Stable Bankroll

The standard rule for tournament players is to have a reserve of 100 to 200 buy-ins. However, this is only a basic guide that needs to be adapted to specific conditions.

Several approaches can be distinguished:

• Conservative style: 200–300 ABI — minimal risk, slow growth.

• Moderate style: 100–150 ABI — balance between growth and stability.

• Aggressive style: 50–100 ABI — fast growth, high variance

Examples: 

1. Bankroll $300 → ABI around $1–1.5

2. Bankroll $3,000 → ABI up to $20

Such values allow endurance through standard fluctuations and maintain control over the game.

However, in practice, additional factors, such as tournament formats, affect the bankroll.

Turbo and hyper-turbo tournaments increase variance, knockout tournaments create additional variability due to bounties, and large fields decrease the probability of winning prizes. 

In all these cases, an increased bankroll reserve is required.

How to Create a Tournament Schedule Considering ABI

Forming a tournament schedule is the practical application of ABI in real play.

A player almost never has the opportunity to play just one limit. Poker room schedules are arranged so that events with the same buy-in are unevenly distributed, meaning for a full load you need to combine tournaments with different buy-in costs.

In this situation, the key task is not just to fill tables, but to maintain a structure where the average buy-in remains within the target ABI. This is what distinguishes systematic play from random tournament selection. What should be paid attention to? 

1. Basic Logic of Building a Schedule

Any tournament schedule starts with three parameters:

1. Current bankroll

2. Target ABI

3. Allowed range of buy-ins

After that, a schedule is formed where:

• the main part of tournaments is around the target ABI

• more expensive events are compensated with cheaper ones

• the final average value doesn't exceed limits

For example, with ABI $5, a player can include tournaments from $1 to $15, but the structure should be skewed towards cheaper and medium events so that rare expensive entries do not increase overall risk.

2. Balance of Expensive and Cheap Tournaments

Many players mistake perceiving expensive tournaments as the most important events and shifting focus to them, playing cheaper tournaments carelessly. 

In practice, each such entry increases the average buy-in. If they are not compensated with cheaper tournaments, ABI starts to rise, and with it variance increases.

The right approach is to consider each event as part of a larger system.

If a tournament appears in the schedule above the range, it should be offset by several cheaper entries. Only then is control over the bankroll preserved.

3. Impact of Tournament Structure

When building a schedule, it is important to consider not only the buy-in but also the characteristics of the tournaments themselves.

• Number of participants (AFS)
  The larger the field, the lower the chances of winning prizes and the higher the variance. Tournaments with a large number of players require a more cautious approach, even if their buy-in matches the ABI.

• Type of tournament
  Knockout tournaments and events with bounties increase result variability. In such formats, part of the EV is distributed differently, so their portion in the schedule should be limited, especially at the top of the range.

• Blind structure
  Turbo and hyper-turbo tournaments speed up play and increase the influence of short stacks. This leads to increased variance, so such events require a deeper bankroll and careful inclusion in the schedule.

4. Role of Win Rate and Level of Play

When building a schedule, it's important to consider not only ABI but the real skill level of the player.

The EVbb/100 metric allows assessment of how effective decisions are made. If the win rate is consistently high, the player can slowly add more expensive tournaments.

If results are unstable, increasing ABI will only enhance the downturns.

Thus, the tournament schedule should be built not only from bankroll but also from the quality of play.

How to Calculate Your ABI

Above, we've already explained how to manually calculate your ABI. This approach works well over a short distance or for one-time checks. However, in real play, a regular player faces hundreds and thousands of tournaments where manual calculation becomes inefficient and can easily lead to errors.

That's why in practice, ABI is almost always tracked using specialised software.

1. Holdem Manager and PokerTracker are the main tools for collecting and analysing poker statistics.

Interface of Holdem Manager 3 

Interface of PokerTracker 4

They automatically import the history of hands and tournaments played, forming a database from which key metrics, including ABI, are calculated.

In the context of ABI, these programmes allow:

• seeing average buy-in (Avg Buy-In / Avg Total Buy-In) over any period

• tracking the dynamics of ABI changes

• analysing results at different limits

• comparing ABI with ROI, EVbb/100 and other metrics

This provides a significant advantage: the player starts to see not individual tournaments, but the structure of their game.

For example, it might be discovered that the growth in ABI occurred unconsciously—through the addition of several expensive tournaments. Or vice versa, that the average buy-in is too low relative to the current level of play.

Thus, trackers turn ABI from a formula into a tool for control and analysis.

2. SharkScope is an online service that collects statistics on tournament players.

Interface of SharkScope

Unlike trackers, it does not require installation and can be used to analyse one's own game and that of opponents.

In the context of ABI, SharkScope shows:

• player's average buy-in

• ROI and profitability over the long run

• results dynamics

• distribution of tournaments across limits

This is especially useful in two cases:

• Self-analysis. You can quickly assess whether the current ABI matches the level of results and bankroll.

• Opponent assessment. The opponent's ABI gives an idea of their level and experience. A player with a high ABI typically plays a stronger field and has a more robust strategy.

Conclusion

Calculating ABI in poker is the foundation of a systematic approach to tournament play. It’s an opportunity to control risk levels, build stable play over the long run, and make decisions that do not destroy the bankroll.

In the long run, this approach ensures steady growth and allows moving to higher limits without critical downturns.

If you want to work on playing systematically and earn in the long run, submit an application to FunFarm.