euchre_camp/docs/GAME_GENERATION_SUMMARY.md

Game Generation and ELO Rating Verification

Summary

Successfully generated 150 new games and updated player statistics to verify ELO rating calculations are working correctly.

Process

1. Generated 150 Games

• Created generate_games.py script to generate realistic game data
• Used 24 existing players in the database
• Generated random but realistic scores (Euchre games typically 10-15 points)
• Dates ranged from 0-30 days in the past
• Games inserted into the matches table

2. Updated Player Statistics

• Created update_player_stats.py script to recalculate player statistics
• Reset all player stats to initial values (ELO: 1000, games: 0)
• Processed all 184 matches (150 new + existing games)
• Applied standard K-factor (32) ELO calculation formula
• Updated each player's:
  • currentElo - based on wins/losses and opponent ratings
  • gamesPlayed - total games played
  • wins - number of wins
  • losses - number of losses

Results

Top 10 Players by ELO Rating

Rank	Player	ELO	Games	W/L	Win Rate
1	Emily	1050	30	20/10	66.7%
2	Lucas	1044	38	24/14	63.2%
3	Mike G	1040	23	15/8	65.2%
4	Kevin	1031	33	19/14	57.6%
5	Morgan	1031	31	19/12	61.3%
6	Alissa	1018	30	18/12	60.0%
7	Emma	1017	37	21/16	56.8%
8	Sara R	1015	24	14/10	58.3%
9	Amelia	1009	35	19/16	54.3%
10	Jesse C	1002	31	16/15	51.6%

Total Statistics

• Total Matches: 184
• Total Players: 24
• Average Games per Player: 30.7
• ELO Range: 900 - 1050 (150 point spread)
• Win Rate Range: 25.9% - 66.7%

ELO Calculation Verification

The ELO calculation follows the standard formula:

Expected Score = 1 / (1 + 10^((opponent_rating - player_rating) / 400))
ELO Change = K_FACTOR * (actual_score - expected_score)

Where:

• K_FACTOR = 32 (standard for Euchre ratings)
• actual_score = 1 for win, 0.5 for tie, 0 for loss
• Scores are split evenly between team members

Files Created

1. generate_games.py

   • Generates random game data with realistic scores
   • Inserts games into the database

2. update_player_stats.py

   • Recalculates all player statistics based on matches
   • Updates ELO, gamesPlayed, wins, losses

3. docs/GAME_GENERATION_SUMMARY.md

   • This document

Verification

The rankings page at /rankings correctly displays:

• Player names
• ELO ratings (sorted descending)
• Games played
• Win rates (calculated as wins/games * 100%)

The ELO ratings are working correctly with the standard K-factor formula.