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2026-04-15 · Mental · ~ 8 min read MENTAL

Poker Mental Game — An Objective A-Game Tracker

Since Jared Tendler’s The Mental Game of Poker (2011), investing in mental management has been standard practice in poker. But until now, there has been no way to objectively measure your A-Game / B-Game / C-Game. Behavioral reaction-time data offers a new approach to quantifying “today’s self,” and a practical way to protect post-bad-beat decisions.

The Concept of “Mental Game” in Poker

Any conversation about the poker mental game starts with one person: Jared Tendler. Originally a sport psychologist coaching pro golfers, Tendler responded to demand from poker players and published The Mental Game of Poker in 2011. Followed by The Mental Game of Poker 2 (2013) and The Mental Game of Trading (2021), his framework became the standard vocabulary across the poker community.

His most influential concept is the A-Game / B-Game / C-Game framework:

GameMeaningCharacteristics
A-GameYour bestFocused, calm, GTO thinking, EV calculation flows naturally
B-GameYour averageKnowledge is accessible, but some decisions take longer than they should
C-GameYour worstTilt, impulse, rule violations, broken risk management

Tendler’s claim is simple but profound: “Long-term poker results are determined by how much time you spend in A-Game.” The amount of time you can hold A-Game matters more than your absolute skill level — counterintuitive, but acknowledged by many top pros.

The Limits of Existing Mental-Game Tools

Tendler’s framework gave the community a shared language for talking about emotional spirals. But practitioners have long struggled with one persistent problem: “I cannot tell which Game I am in right now.”

Tilted players almost universally believe they are fine. Metacognition — the ability to assess one’s own cognitive state objectively — is one of the first faculties impaired by tilt. This mirrors the Dunning-Kruger effect: people whose cognitive function has degraded are unable to detect that degradation.

Existing mental-game approaches generally fall into three categories:

All three matter, but none can answer the question, “Right now — pre-session, or right after a bad beat — what state am I in, objectively?”

Reaction Time as a New Window

This is where reaction-time-based cognitive measurement enters. It does not depend on self-report, on result data, or on an external observer. From behavioral data alone, it quantifies your cognitive state in this moment.

The mechanism is simple. A light appears on screen at random intervals; the player clicks as fast as possible — repeated 20–50 times. The whole test takes 1–3 minutes. From this data, the parameters of the reaction-time distribution (mean μ, instability σ, attention-lapse component τ) are estimated statistically.

What matters is that within an individual, this distribution is remarkably stable. When the same person measures “as usual,” their reaction-time pattern is consistent. But under fatigue, stress, or emotional disturbance, the τ parameter (attention-lapse component) reacts especially sensitively.

Decomposed via the Ex-Gaussian distribution, a tilted player’s reaction time often shows μ unchanged but τ spiking — exactly the gap between subjective experience (“I feel fine”) and objective reality that makes A-Game and C-Game so hard to distinguish from the inside.

Practical Use — Four Scenarios

With the concept clear, how should poker players actually use this? Four typical scenarios:

Scenario 1: Before a session

Run a 1–3 minute measurement before play. If results differ significantly from your usual, you can decide to not play today / cut the session short / drop down in stakes. This is not the subjective “I’m not feeling it” — it’s an objective deviation from your baseline.

Scenario 2: Post-bad-beat continuation decision

Right after a brutal bad beat. The eternal question — keep going, or step away? Reaction-time measurement lets you distinguish “I’m frustrated but my judgment is intact” from “I think I’m fine but my attention is actually scattered.” The first means you can keep playing. The second means a 30-minute walk is high-EV in the long run.

Scenario 3: Mid-session checkpoint

During long online sessions or tournaments, build a habit of checking your “current performance state” periodically. Once every two hours, instead of a passive break, run a measurement. If a downward trend in cognitive performance becomes visible over time, the “time to take a real break” signal is no longer subjective.

Scenario 4: Next-day review material

During post-session review, look at PokerTracker stats alongside the day’s condition data. Did the time periods with the worst plays correlate with the largest reaction-time deviations? This becomes powerful raw material for understanding your own mental-game weak points.

What Reaction-Time Measurement Does NOT Answer

To be honest: this is not a silver bullet. Specifically, it cannot answer:

What it provides is one objective signal: the gap between today’s self and your usual self. How you interpret it and translate it into action is up to you.

Where This Fits in the Poker Community

Mental-game work in poker tends to layer like this:

  1. Education — Tendler’s books, YouTube psychology coaches, blog content
  2. Training — meditation, mindfulness, breathwork, journaling
  3. Analysis — PokerTracker, Hold’em Manager, hand reviews
  4. Coaching — Jared Tendler, Elliot Roe, other mental coaches
  5. Measurement ← this is where reaction-time-based objective measurement sits

Until now, the “measurement” layer was limited to subjective surveys or HRV. Reaction-time measurement adds a new option here: objective behavioral data. It does not replace existing tools — it complements them.

Summary

Tendler’s A-Game / B-Game / C-Game framework gave poker a vocabulary for mental management. But there was no objective way to know which Game you were in. The reaction-time distribution parameters — particularly τ — provide one new answer to that question.

Pre-session, post-bad-beat, mid-long-session — at any of these moments, a 1–3 minute test fits. How you act on the result is up to you, but at minimum it is a tool to reduce the regret of “I thought I was fine, but I wasn’t.” If protecting A-Game is the key to long-term EV, then a way to verify A-Game objectively is worth having.


References

Author: PRO ORDER
Developer of AXIOM, a cognitive-performance measurement tool (sole proprietor). Interested in the relationship between reaction time and decision quality; building objective measurement tools for traders and poker players in Tauri + Rust.

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