Overview The Optimal+ presets system provides data-driven market configurations that optimize for different volume/ROI tradeoffs. Presets are generated automatically based on historical performance data and updated regularly.
Presets are stored in the SharedServices/config/presets/ directory and can be customized per bot (player, team, overtime).
Preset Philosophy Each preset represents a different betting strategy:
Route One 🎯 Low volume, high ROI Conservative approach focusing on highest value opportunities with tight filters. Targets 20% ROI with 50-75 bets/week.
Shoot On Sight ⚡ Medium volume, balanced ROI Selective markets with proven performance. Targets 15% ROI with 100-200 bets/week.
Gegenpress 🔥 High volume, positive ROI Aggressive market coverage maintaining profitability. Targets 10% ROI with 250-350 bets/week.
Tiki-Taka ⚽ Maximum volume, stable ROI Maximum market coverage with intricate filters. Targets 7% ROI with 450+ bets/week.
Preset Definitions Route One Configuration SharedServices/config/presets/preset_config.py
PRESET_DEFINITIONS = { "Route One" : { "description" : "Low volume, high ROI strategy" , "target_volume_range" : ( 0 , 75 ), "target_overall_roi" : 20.0 , "min_roi_threshold" : 3.0 , "max_roi_threshold" : 50.0 , "max_variance" : 0.99 , "min_sample_size" : 0 , "min_market_count" : 4 , "max_market_count" : 6 , "priority" : "roi" , "emoji" : "🎯" , "min_odds" : 1.5 , "max_odds" : 4.0 , } }
Shoot On Sight Configuration "Shoot On Sight" : { "description" : "Low-medium volume, balanced ROI strategy" , "target_volume_range" : ( 75 , 125 ), "target_overall_roi" : 15.0 , "min_roi_threshold" : 1.0 , "max_roi_threshold" : 45.0 , "max_variance" : 0.99 , "min_sample_size" : 1 , "min_market_count" : 4 , "max_market_count" : 7 , "priority" : "roi" , "emoji" : "⚡" , "min_odds" : 1.7 , "max_odds" : None , }
Gegenpress Configuration "Gegenpress" : { "description" : "Medium-high volume, positive ROI" , "target_volume_range" : ( 125 , 175 ), "target_overall_roi" : 10.0 , "min_roi_threshold" : 1.0 , "max_roi_threshold" : 40.0 , "max_variance" : 0.99 , "min_sample_size" : 1 , "min_market_count" : 5 , "max_market_count" : 9 , "prefer_more_markets" : True , "priority" : "balanced" , "emoji" : "🔥" , "min_odds" : 1.7 , "max_odds" : None , }
Tiki-Taka Configuration "Tiki-Taka" : { "description" : "High volume, positive ROI" , "target_volume_range" : ( 175 , 250 ), "target_overall_roi" : 7.0 , "min_roi_threshold" : 1.0 , "max_roi_threshold" : 35.0 , "max_variance" : 0.99 , "min_sample_size" : 1 , "min_market_count" : 6 , "prefer_more_markets" : True , "priority" : "balanced" , "emoji" : "⚽" , "min_odds" : 1.7 , "max_odds" : None , }
Market Settings Each preset defines specific market settings optimized through historical analysis:
Player Preset Example SharedServices/config/presets/presets_config.py
OPTIMAL_PLAYER_PRESETS = { "Route One" : { "emoji" : "🎯" , "scope" : "last5" , "market_settings" : { "Player Tackles" : { "enabled" : True , "min_odds" : 1.5 , "max_odds" : 6 , "min_ev_pct" : 10 , "min_chance_pct" : 20 , "min_line" : 1.5 , "max_line" : 5.5 }, "Player Goals" : { "enabled" : True , "min_odds" : 2 , "max_odds" : 6 , "min_ev_pct" : 60 , "min_chance_pct" : 30 , "min_line" : 0.5 , "max_line" : 3.5 }, "Player Shots Total" : { "enabled" : True , "min_odds" : 2 , "max_odds" : None , "min_ev_pct" : 2 , "min_chance_pct" : 30 , "min_line" : 1.5 , "max_line" : 2.5 } } } }
Market Setting Parameters Whether this market is active in the preset
Minimum acceptable odds (e.g., 1.5 = 3/2 odds)
Maximum acceptable odds (null = no limit)
Minimum expected value percentage (edge over bookmaker)
Minimum win probability percentage
Minimum market line (e.g., 0.5 for “Player Goals 0.5+”)
Maximum market line (e.g., 3.5 for “Player Goals 3.5+“)
Optimization Parameters Parameter Ranges The optimizer tests different combinations of these parameters:
SharedServices/config/presets/preset_config.py
OPTIMIZATION_RANGES = { "min_odds" : { "values" : [ 1.5 , 1.7 , 2.0 ], }, "max_odds" : { "values" : [ 6.0 , 12.0 , None ], }, "min_ev_pct" : { "values" : [ 2 , 5 , 10 , 20 , 40 , 60 ], }, "min_chance_pct" : { "values" : [ 5 , 20 , 30 , 50 , 70 ], }, "scope" : { "values" : [ "last5" , "last10" ], }, }
Market-Specific Line Ranges # Player Goals: 0.5-3.5 "player_goals_min_line" : { "values" : [ 0.5 , 1.5 , 2.5 , 3.5 ], }, "player_goals_max_line" : { "values" : [ 0.5 , 1.5 , 2.5 , 3.5 ], }, # Player Shots On Target: 0.5-5.5 "player_shots_on_target_min_line" : { "values" : [ 0.5 , 1.5 , 2.5 , 3.5 , 4.5 , 5.5 ], }, # Player Passes: 14.5-77.5 "player_passes_min_line" : { "values" : [ 14.5 , 19.5 , 24.5 , 29.5 , 34.5 , 39.5 , 44.5 ], }, "player_passes_max_line" : { "values" : [ 24.5 , 34.5 , 44.5 , 54.5 , 64.5 , 74.5 , 77.5 ], },
Available Markets Player Bot Markets SharedServices/config/presets/preset_config.py
PLAYER_MARKETS = [ "Player Goals" , "Player Score 2+ Goals" , "Player Score 3+ Goals" , "To Score First" , "To Be Booked First" , "Player Assists" , "Player Score or Assist" , "Player Goal From Header" , "Player Goal From Outside Box" , "Player Shots On Target" , "Player Headed Shots On Target" , "Player SOT Outside Box" , "Player Shots Total" , "Player Tackles" , "Player Passes" , "Player Offsides" , "Goalkeeper Saves" , "Player Fouls Committed" , "Player Fouls Won" , ]
Team Bot Markets TEAM_MARKETS = [ # Goals "Total Goals" , "Team Total Goals" , # Corners "Total Corners" , "Team Corners" , "Corner Handicap" , "Corners Spread" , # Cards "Total Cards" , "Team Cards" , "Card Handicap" , "Bookings Spread" , # Shots "Total Shots" , "Team Shots" , "Total Shots On Target" , "Team Shots On Target" , # Fouls & Tackles "Total Fouls" , "Team Fouls" , "Total Tackles" , "Team Tackles" , # Offsides "Total Offsides" , "Team Offsides" , ]
Overtime-Specific Presets Overtime presets are optimized for the Overtime Markets platform:
SharedServices/config/presets/preset_config.py
OVERTIME_PRESET_DEFINITIONS = { "Route One (Overtime)" : { "base_preset" : "Route One" , "target_volume_range" : ( 0 , 50 ), # ~65% of standard "min_market_count" : 3 , "max_market_count" : 5 , }, "Shoot On Sight (Overtime)" : { "base_preset" : "Shoot On Sight" , "target_volume_range" : ( 50 , 85 ), "min_market_count" : 3 , "max_market_count" : 5 , }, }
Overtime Markets OVERTIME_PLAYER_MARKETS = [ "Player Goals" , "Player Assists" , "Player Shots On Target" , "Player Tackles" , "Goalkeeper Saves" , "Player Fouls Committed" , "Player Fouls Won" , ] OVERTIME_TEAM_MARKETS = [ "Total Goals" , "Team Total Goals" , "Total Corners" , "Team Corners" , "Corner Handicap" , "Total Cards" , "Team Cards" , "Card Handicap" , "Total Shots" , "Team Shots" , "Total Shots On Target" , "Team Shots On Target" , "Total Offsides" , ]
Overtime presets have reduced volume targets (~65% of standard) due to fewer available markets.
Preset Generation Configuration SharedServices/config/presets/preset_config.py
PRESET_COLLECTION_NAME = "optimal_presets" PRESET_EXPIRY_HOURS = 72 # Presets valid for 72 hours PRESET_GENERATION_INTERVAL_HOURS = 24 # Generate daily PRESET_NOTIFICATION_INTERVAL_HOURS = 48 # Notify every 48h PRESET_LOOKBACK_DAYS = 14 # Use last 14 days of data
Data Quality Requirements DATA_QUALITY = { "min_days_of_data" : 7 , "min_bets_per_market" : 1 , "min_bets_per_config" : 1 , "min_bets_high_roi" : 1 , }
Variance Control VARIANCE_SETTINGS = { "max_std_dev_ratio" : 0.40 , # Std dev can't exceed 40% of mean ROI "min_win_rate" : 0.30 , # Minimum 30% win rate "outlier_threshold" : 3.0 , # Standard deviations for outliers }
Hard Limits Minimum Setting Values SharedServices/config/presets/preset_config.py
MINIMUM_SETTING_VALUES = { "min_odds" : 1.3 , "min_ev_pct" : 2 , "min_chance_pct" : 5 , "min_line" : 0.5 , "min_avg_minutes" : 45 , }
Market Hard Limits MARKET_HARD_LIMITS = { "Player Shots Total" : { "max_line" : 2.5 , # Too high variance above 2.5 }, "Player Shots On Target" : { "max_line" : 2.5 , }, "Player Headed Shots On Target" : { "max_line" : 2.5 , }, "Player SOT Outside Box" : { "max_line" : 2.5 , }, }
Hard limits prevent the optimizer from generating irresponsible high-variance configurations.
Using Presets Get Preset Order from SharedServices.config.presets.preset_config import get_preset_order presets = get_preset_order() # Returns: ["Route One", "Shoot On Sight", "Gegenpress", "Tiki-Taka"]
Get Preset Configuration from SharedServices.config.presets.preset_config import get_preset_config config = get_preset_config( "Route One" ) print (config[ 'target_overall_roi' ]) # 20.0 print (config[ 'emoji' ]) # 🎯
Get Markets for Bot Type from SharedServices.config.presets.preset_config import get_markets_for_bot player_markets = get_markets_for_bot( 'player' ) team_markets = get_markets_for_bot( 'team' )
Calculate Variance Penalty from SharedServices.config.presets.preset_config import calculate_variance_penalty penalty = calculate_variance_penalty( roi = 15.0 , std_dev = 3.5 , sample_size = 100 ) # Lower penalty = better stability
Notification Template SharedServices/config/presets/preset_config.py
NOTIFICATION_TEMPLATE = """ 🧠👨🏫 **NEW OPTIMAL+ PRESETS AVAILABLE!** Updated presets based on the last 14 days of results. 📊 Quick Stats: {preset_stats} View and apply: /settings → 🧠👨🏫 Optimal+ Presets 💡 Each preset offers a different volume/ROI tradeoff: • {route_one_emoji} Route One: Lowest volume, highest ROI (50-75 bets/week) • {shoot_emoji} Shoot On Sight: Low-medium volume, balanced ROI (100-200 bets/week) • {gegen_emoji} Gegenpress: Medium-high volume, positive ROI (250-350 bets/week) • {tiki_emoji} Tiki-Taka: High volume, positive ROI (450+ bets/week) [Don't want these notifications? Toggle in /settings] """
Database Schema Presets are stored in MongoDB:
{ "preset_name" : "Route One" , "bot_type" : "player" , "generated_at" : "2026-03-04T10:00:00Z" , "expires_at" : "2026-03-07T10:00:00Z" , "lookback_days" : 14 , "scope" : "last5" , "emoji" : "🎯" , "market_settings" : { "Player Tackles" : { "enabled" : true , "min_odds" : 1.5 , "max_odds" : 6 , "min_ev_pct" : 10 , "min_chance_pct" : 20 , "min_line" : 1.5 , "max_line" : 5.5 } }, "performance" : { "roi" : 18.5 , "volume" : 65 , "win_rate" : 0.42 , "variance" : 0.25 } }
Best Practices
Regular Updates Presets should be regenerated daily to adapt to changing market conditions.
Validate Data Quality Ensure sufficient historical data before generating presets (minimum 7 days).
Monitor Performance Track preset performance and adjust optimization parameters if needed.
Test Before Deploy Always test new preset configurations in development before production.
Credentials Sensitive credentials and API keys
Settings Platform-wide configuration settings