Dark Mode
WPN Online Poker Pre-Flop Performance Registry
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Analysing the strategic nuances of fast-fold poker at the 10NL stakes on the Winning Poker Network provides a detailed perspective on pre-flop decision-making. These records, extracted from Holdem Manager 3 statements, offer a large sample of 100,000 hands played in the Blitz format. By focusing on the initial stage of the game, the data reveals how players manage their stacks and positions—ranging from the under-the-gun seat to the big blind—offering a structured foundation for studying online card game mechanics without the complexity of post-flop variables.
Columns
- hand_num: A unique numerical identifier assigned to each individual poker hand.
- hand_date: The specific date on which the hand was played, recorded throughout various months in 2022.
- hand_time: The precise timestamp indicating when the pre-flop action occurred.
- btn: The nickname and current stack size of the player occupying the button position.
- sb: The nickname and current stack size of the player in the small blind position.
- bb: The nickname and current stack size of the player in the big blind position.
- utg: The nickname and current stack size of the player in the under-the-gun position.
- mp: The nickname and current stack size of the player in the middle position.
- co: The nickname and current stack size of the player in the cut-off position.
- hole_cards: The specific pair of cards dealt to the player for that hand.
Distribution
The information is delivered in a CSV format titled
wpn_blitz_10nl.csv with a file size of 28.17 MB. It comprises 100,000 valid records, maintaining a 100% validity rate across the primary data fields with no missing or mismatched entries. The resource has earned a maximum usability score of 10.00 and is expected to receive annual updates.Usage
This collection is ideal for modelling pre-flop ranges and studying positional tendencies in fast-fold poker environments. Analysts can use the records to identify common stack sizes at the 10NL level or to calculate the frequency of specific hole card combinations. It also serves as a robust training set for building poker-specific machine learning models or for developers to practice data cleaning and transformation on text-based hand histories.
Coverage
The geographic scope is global, reflecting the international player pool of the Winning Poker Network. Temporally, the data captures activity from March 2022 through October 2022. The demographic focus is centred on online poker players participating in low-stakes Blitz cash games, providing a focused look at this specific competitive tier.
License
CC0: Public Domain
Who Can Use It
Poker analysts and professional players can leverage these figures to gain a deeper understanding of player pool tendencies and to refine their own pre-flop strategies. Data science students can utilise the 100,000 samples to practice large-scale data manipulation and statistical analysis. Additionally, software developers in the gaming industry may find the structured hand histories useful for testing poker-related applications and algorithms.
Dataset Name Suggestions
- WPN Blitz 10NL: 100,000 Pre-Flop Poker Hand Histories
- Winning Poker Network 10NL Blitz Strategy Archive
- Historical Poker Pre-Flop Dynamics: 2022 Blitz Dataset
- 10NL Blitz Fast-Fold Poker Hand Records
- WPN Online Poker Pre-Flop Performance Registry
Attributes
Original Data Source: WPN Online Poker Pre-Flop Performance Registry
QUALITYLoading...
Free
Download Dataset in ZIP Format
Recommended Datasets
Loading recommendations...