Scouting-Dashboard/config.yaml at main · MJenius/Scouting-Dashboard · GitHub

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# Football Scouting Dashboard Configuration
# This file allows non-coders to adjust model parameters and behavior

# ============================================================================
# POSITION-SPECIFIC WEIGHT MATRIX
# Adjusts the importance of different statistics for each position
# Higher values = stronger influence on similarity matching
# ============================================================================
profile_weights:
  attacker:
    Gls/90: 3.0      # Goals per 90 (PRIMARY METRIC FOR FORWARDS)
    Ast/90: 1.5      # Assists per 90
    Sh/90: 2.5       # Shots per 90
    SoT/90: 2.0      # Shots on target
    Crs/90: 1.0      # Crosses
    Int/90: 0.3      # Interceptions
    TklW/90: 0.5     # Tackles won
    Fls/90: 1.0      # Fouls committed
    Fld/90: 1.0      # Fouls drawn

  midfielder:
    Gls/90: 0.5
    Ast/90: 2.5      # PRIMARY METRIC FOR MIDFIELDERS
    Sh/90: 0.8
    SoT/90: 0.6
    Crs/90: 2.0      # Crossing ability
    Int/90: 1.5      # Ball recovery
    TklW/90: 1.8     # Defensive contribution
    Fls/90: 1.2
    Fld/90: 1.2

  defender:
    Gls/90: 0.2
    Ast/90: 0.3
    Sh/90: 0.1
    SoT/90: 0.1
    Crs/90: 0.5
    Int/90: 2.5      # PRIMARY METRIC FOR DEFENDERS
    TklW/90: 2.5     # Defensive contribution
    Fls/90: 1.5
    Fld/90: 1.5

  goalkeeper:
    GA90: 2.5        # Goals against per 90 (LOWER IS BETTER)
    Save%: 3.0       # PRIMARY METRIC FOR GOALKEEPERS
    CS%: 2.0         # Clean sheet percentage
    W: 1.5           # Wins
    D: 1.0           # Draws
    L: 0.5           # Losses (LOWER IS BETTER)
    PKsv: 1.5        # Penalty saves
    PKm: 1.0         # Penalty saves made
    Saves: 1.0       # Total saves

# ============================================================================
# MARKET VALUE CALCULATION
# Adjustable multipliers for transfer value estimation
# ============================================================================
market_value:
  # Scout bias settings: choose between "Conservative", "Neutral", "Aggressive"
  scout_bias: "Neutral"

  # Base value multipliers by age
  age_multipliers:
    "18-21": 0.8     # Young prospects (higher upside)
    "22-24": 1.0     # Development phase
    "25-28": 1.2     # Prime years (peak value)
    "29-32": 0.95    # Experienced players
    "33+": 0.6       # Veteran discount

  # League tier base values (£M)
  league_base_values:
    "Premier League": 5.0
    "Championship": 2.5
    "League One": 1.2
    "League Two": 0.8
    "National League": 0.4
    "Bundesliga": 4.5
    "La Liga": 5.0
    "Serie A": 4.5
    "Ligue 1": 4.0

  # Percentile tiers - scaling factor
  percentile_multipliers:
    elite: 2.5       # 90+ percentile
    excellent: 2.0   # 80-89 percentile
    very_good: 1.5   # 70-79 percentile
    good: 1.0        # 50-69 percentile
    below_average: 0.7  # <50 percentile

# ============================================================================
# SCOUTING CONFIDENCE SETTINGS
# Configure how completeness scores are displayed
# ============================================================================
scouting_confidence:
  elite_threshold: 90
  elite_label: "Verified Elite Data"

  good_threshold: 70
  good_label: "Good Scouting Data"

  directional_threshold: 40
  directional_label: "Directional Data (Further Vetting Required)"

  poor_threshold: 0
  poor_label: "Incomplete Data - Caution Advised"

# ============================================================================
# HIDDEN GEMS DISCOVERY SETTINGS
# ============================================================================
hidden_gems:
  age_threshold: 23        # Maximum age for "young prospect"
  percentile_threshold: 80 # Minimum percentile for high priority
  exclude_league: "Premier League"  # Don't flag top-league players as hidden gems
  min_games: 10            # Minimum 90s for statistical reliability

# ============================================================================
# CLUSTERING & ARCHETYPES
# ============================================================================
clustering:
  n_clusters: 8            # Number of player archetypes
  random_state: 42         # For reproducibility
  pca_components: 2        # 2D visualization

# ============================================================================
# UI/UX SETTINGS
# ============================================================================
ui:
  theme: "dark"
  fuzzy_search_limit: 10   # Number of autocomplete suggestions
  top_similar_players: 5   # Default number of similar players to show
  leaderboard_size: 25     # Default leaderboard size

# ============================================================================
# DATA VALIDATION THRESHOLDS
# ============================================================================
data_validation:
  min_minutes_played: 10   # Minimum 90s for statistical reliability
  min_players_per_group: 5 # Minimum players in position-league group
  data_completeness_warning: 30  # Warn if player has < 30% completeness