📖 使用说明
德州扑克锦标赛训练平台
一、平台简介
本平台是一个专业的德州扑克锦标赛决策训练系统，基于GTO（博弈论最优）策略，帮助玩家：
- 学习锦标赛最优决策策略
- 理解不同位置、筹码量下的推牌和跟注范围
- 掌握ICM（独立筹码模型）对决策的影响
- 提升锦标赛整体策略水平
二、快速开始
1. 基本设置
- 桌型：选择6人桌、7人桌、8人桌或9人桌
- 总参赛人数：输入比赛的总人数
- 起始筹码：每位选手的起始筹码量
- 奖励圈人数：自动根据总人数计算，也可手动调整
2. 实时参数
- 盲注级别：选择当前盲注级别（共70个级别）
- 当前剩余人数：比赛剩余选手数量
- 我的筹码量：你的当前筹码
- 我的位置：选择你的位置（UTG、HJ、CO、BTN、SB、BB等）
💡 提示：选择BB位置时，需要额外选择"推牌者位置"，即谁在推牌，系统会计算BB面对该位置的跟注范围。
3. 开始计算
点击"求解"按钮，系统会自动计算并显示手牌范围矩阵。
三、结果解读
手牌矩阵
系统通过纳什均衡迭代算法计算最优策略，每个手牌都有一个推牌概率值（0-1）。显示时使用随机数矩阵：
- 每个格子生成一个随机数（0-1）
- 绿色：推牌概率 > 随机数
- 红色：推牌概率 ≤ 随机数
例如：推牌概率0.8的牌，有80%概率显示绿色，20%显示红色。刷新页面会看到不同结果。
覆盖范围
显示推荐手牌占总手牌的百分比，例如"15.2%"表示推荐推牌15.2%的手牌组合。
四、常见问题
Q1: 为什么BB位置需要选择推牌者位置？
A: BB位置的决策取决于谁在推牌。面对不同位置的推牌者，BB的跟注范围会不同。
Q2: 如何理解手牌矩阵？
A: 矩阵从左上到右下依次是：对子（AA, KK, QQ...）、同花牌（AKs, AQs...）、非同花牌（AKo, AQo...）。"s"表示同花，"o"表示非同花。
⚠️ 免责声明：本系统仅供学习和研究使用，请勿用于任何非法用途。联系邮箱：shilang1993@qq.com
📖 User Guide
Texas Hold'em Tournament Training Platform
1. Platform Overview
This is a professional Texas Hold'em tournament decision training system based on GTO (Game Theory Optimal) strategy, helping players:
- Learn optimal tournament decision strategies
- Understand push and call ranges at different positions and stack sizes
- Master the impact of ICM (Independent Chip Model) on decisions
- Improve overall tournament strategy skills
2. Quick Start
1. Basic Settings
- Table Type: Choose 6-max, 7-max, 8-max, or 9-max
- Total Players: Enter the total number of players
- Starting Stack: Starting chips for each player
- Prize Pool Players: Auto-calculated based on total players, or manually adjust
2. Real-time Parameters
- Blind Level: Select current blind level (70 levels total)
- Remaining Players: Number of remaining players
- My Chips: Your current chip count
- My Position: Choose your position (UTG, HJ, CO, BTN, SB, BB, etc.)
💡 Tip: When selecting BB position, you need to additionally select "Raiser Position" - who is pushing. The system will calculate BB's calling range against that position.
3. Start Calculation
Click the "Solve" button, and the system will automatically calculate and display the hand range matrix.
3. Understanding Results
Hand Matrix
The system uses Nash equilibrium iteration to calculate optimal strategy. Each hand has a push probability value (0-1). Display uses random matrix:
- Each cell generates a random number (0-1)
- Green: Push probability > random number
- Red: Push probability ≤ random number
Example: A hand with 0.8 push probability has 80% chance to show green, 20% red. Refresh page to see different results.
Coverage
Shows the percentage of recommended hands out of total hands. For example, "15.2%" means recommending 15.2% of hand combinations.
4. FAQ
Q1: Why does BB position need to select raiser position?
A: BB's decision depends on who is pushing. BB's calling range will differ against raisers from different positions.
Q2: How to understand the hand matrix?
A: The matrix goes from top-left to bottom-right: pairs (AA, KK, QQ...), suited hands (AKs, AQs...), offsuit hands (AKo, AQo...). "s" means suited, "o" means offsuit.
⚠️ Disclaimer: This system is for learning and research purposes only. Do not use for any illegal purposes. Contact: shilang1993@qq.com