A HUD in poker (Heads-Up Display) is a statistics interface for opponents that overlays the poker client in real time. The HUD shows key metrics for each player at the table and allows making decisions based on data rather than intuition. Modern online poker at mid-stakes is practically impossible to play without a HUD — too much information remains hidden otherwise.
What Is a HUD
A HUD is a product of a tracker. The program collects played hand histories in real time, calculates statistics from them, and displays it on screen as a small panel next to each player. The more hands played against a specific opponent, the more accurate the metrics. After 200–500 hands the main tendencies are visible; after 1,000+ the statistics become stable. A mined hand database allows you to see full statistics from the very first hand — even before playing any hands yourself.
Which Stats to Show in the HUD
Minimum mandatory set: VPIP (% of voluntarily put in pot), PFR (pre-flop raise %), 3-Bet%, Hands count. Extended set: WTSD (went to showdown), WSD (won at showdown), CBet (continuation bet %) on flop and turn, Fold to CBet, AF (aggression factor). Advanced: positional stats, specific hand situation stats (3-bet pots, single raised pots), dynamic stats by stack depth.
HUD for Cash Games
For cash, the most important stats: VPIP/PFR ratio (determines player type — nit, TAG, LAG, fish), 3-Bet% and Fold to 3-Bet (for pre-flop decisions), CBet and Fold to CBet flop (for post-flop decisions), WTSD/WSD (showdown tendencies). A compact display with 4–6 key stats plus a fold frequency is sufficient for most cash game decisions.
HUD for Tournaments
For tournaments, positional stats become more important: VPIP/PFR by position, steal/fold to steal frequencies, tendency to go all-in pre-flop. ICM-relevant stats: willingness to go all-in pre-flop in short-stack situations, reaction to 3-bets on the bubble. Dynamic HUD stats by stack depth are especially important in tournaments.
Dynamic HUD
A Dynamic HUD (available in Hand2Note) automatically changes the displayed statistics depending on the current situation: different stats in position vs. out of position, in 3-bet pots vs. single-raised pots, with a short stack vs. a deep stack. This gives much more contextually relevant information than a static HUD with the same stats for all situations.
Sample Size
The reliability of HUD stats depends directly on the sample size. With 50 hands the data is mostly random. With 200–300 hands you can see basic tendencies. With 1,000+ hands individual stats become meaningful. With 5,000+ hands almost all stats are statistically stable. For this reason, a mined hand database that provides thousands of hands on field regulars from the start is a major competitive advantage.
Color Coding
In most trackers, HUD values can be colored based on ranges. Typical color scheme: green — exploitable tendency (e.g., very wide range you can exploit), yellow — average, red — warning (opponent with good stats or unfavorable for this spot). Color coding speeds up decision-making significantly — you see the key factor at a glance without reading numbers.
HUD for Different Opponent Types
Nit (VPIP 8–15%): high-fold opponent, steal freely, respect 3-bets. Fish (VPIP 40%+): don’t bluff, maximize thin value. LAG (VPIP 25-35%, PFR 20-30%): tighten up, play draws cautiously, use pot control. TAG (VPIP 18-25%, PFR 15-22%): standard strategy, read their specific stats.
Adapting the HUD to Different Stakes
At low stakes: a minimal HUD with basic stats is sufficient, opponents are simple. At mid-stakes (NL100+): dynamic stats, situational filters by position and pot type are necessary. At high stakes: maximum data, dynamic HUD, detailed analysis of every key stat.
Common HUD Mistakes
- Too many stats on screen — information overload
- Trusting stats without accounting for sample size
- Not adjusting the HUD for different game types
- Ignoring the difference between static and dynamic stats
- Making decisions solely on stats without considering board texture and situation
A HUD is a tool, not a decision-maker. Even perfect stats don’t guarantee correct decisions — they only provide an informational base. The art is combining HUD data with situational analysis, board texture, and reads on the specific opponent. The more accurate and voluminous the data (which is why mining is so valuable), the better this combination works.