File size: 6,448 Bytes
d45f009 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 | """Build batter and bowler profiles from curated Cricsheet ball outcomes.
Input:
data/processed/ball_outcomes_t20_v1.pkl
Output:
data/processed/player_profiles_t20_v1.json
"""
import argparse
import json
import pickle
from collections import defaultdict
from pathlib import Path
_ROOT = Path(__file__).parent.parent
_PROCESSED = _ROOT / "data" / "processed"
_DREAM11_PATH = _ROOT / "data" / "dream11_t20_points.json"
def _load_dream11() -> dict:
if not _DREAM11_PATH.exists():
return {}
with _DREAM11_PATH.open() as f:
return json.load(f)
def _classify_batter(runs: int, balls: int, boundaries: int, death_runs: int) -> str:
strike_rate = 100 * runs / max(balls, 1)
boundary_rate = boundaries / max(balls, 1)
death_share = death_runs / max(runs, 1)
if strike_rate >= 145 or boundary_rate >= 0.22:
return "hitter"
if death_share >= 0.35 and strike_rate >= 130:
return "finisher"
if strike_rate < 110 and balls >= 30:
return "anchor"
return "balanced"
def _classify_bowler(balls: int, runs: int, wickets: int, death_balls: int, dots: int, bowler_type: str) -> str:
economy = 6 * runs / max(balls, 1)
strike_rate = balls / max(wickets, 1)
dot_rate = dots / max(balls, 1)
death_share = death_balls / max(balls, 1)
if death_share >= 0.30:
return "death_specialist"
if wickets >= 10 and strike_rate <= 18:
return "wicket_taker"
if economy <= 7.0 or dot_rate >= 0.42:
return "economy"
return bowler_type or "pace"
def build_profiles(records: list[dict]) -> dict:
batters = defaultdict(lambda: {
"runs": 0, "balls": 0, "boundaries": 0, "dismissals": 0,
"phase_runs": defaultdict(int), "phase_balls": defaultdict(int),
})
bowlers = defaultdict(lambda: {
"runs": 0, "balls": 0, "dots": 0, "wickets": 0, "type_counts": defaultdict(int),
"phase_runs": defaultdict(int), "phase_balls": defaultdict(int), "phase_wickets": defaultdict(int),
})
for r in records:
if not r.get("legal_delivery", True):
continue
phase = r.get("phase", "middle")
batter = r.get("batter")
bowler = r.get("bowler")
runs_batter = int(r.get("runs_batter", 0))
runs_total = int(r.get("runs_total", runs_batter))
if batter:
b = batters[batter]
b["runs"] += runs_batter
b["balls"] += 1
b["boundaries"] += 1 if runs_batter >= 4 else 0
b["dismissals"] += 1 if r.get("wicket") else 0
b["phase_runs"][phase] += runs_batter
b["phase_balls"][phase] += 1
if bowler:
w = bowlers[bowler]
w["runs"] += runs_total
w["balls"] += 1
w["dots"] += 1 if runs_total == 0 else 0
w["wickets"] += 1 if r.get("wicket") and r.get("dismissal_kind") != "run out" else 0
w["type_counts"][r.get("bowler_type", "pace")] += 1
w["phase_runs"][phase] += runs_total
w["phase_balls"][phase] += 1
w["phase_wickets"][phase] += 1 if r.get("wicket") else 0
dream11 = _load_dream11()
dot_points = dream11.get("categories", {}).get("bowling", {}).get("items", {}).get("dot_ball", {}).get("points", 1)
wicket_points = dream11.get("categories", {}).get("bowling", {}).get("items", {}).get("wicket_excluding_run_out", {}).get("points", 30)
batter_profiles = {}
for name, s in batters.items():
balls = s["balls"]
if balls < 12:
continue
death_runs = s["phase_runs"].get("death", 0)
style = _classify_batter(s["runs"], balls, s["boundaries"], death_runs)
batter_profiles[name] = {
"role": "batter",
"style": style,
"runs": s["runs"],
"balls": balls,
"strike_rate": round(100 * s["runs"] / max(balls, 1), 2),
"boundary_rate": round(s["boundaries"] / max(balls, 1), 4),
"dismissal_rate": round(s["dismissals"] / max(balls, 1), 4),
"phase_strengths": {
phase: round(100 * s["phase_runs"][phase] / max(s["phase_balls"][phase], 1), 2)
for phase in ("powerplay", "middle", "death")
if s["phase_balls"].get(phase)
},
}
bowler_profiles = {}
for name, s in bowlers.items():
balls = s["balls"]
if balls < 12:
continue
bowler_type = max(s["type_counts"], key=s["type_counts"].get) if s["type_counts"] else "pace"
style = _classify_bowler(
balls, s["runs"], s["wickets"], s["phase_balls"].get("death", 0), s["dots"], bowler_type
)
bowler_profiles[name] = {
"role": "bowler",
"type": bowler_type,
"style": style,
"balls": balls,
"runs_conceded": s["runs"],
"wickets": s["wickets"],
"economy": round(6 * s["runs"] / max(balls, 1), 2),
"dot_rate": round(s["dots"] / max(balls, 1), 4),
"strike_rate": round(balls / max(s["wickets"], 1), 2),
"dream11_pressure_points": s["dots"] * dot_points + s["wickets"] * wicket_points,
"phase_strengths": {
phase: {
"economy": round(6 * s["phase_runs"][phase] / max(s["phase_balls"][phase], 1), 2),
"wickets": s["phase_wickets"][phase],
}
for phase in ("powerplay", "middle", "death")
if s["phase_balls"].get(phase)
},
}
return {
"schema_version": "player_profiles_t20_v1",
"batters": batter_profiles,
"bowlers": bowler_profiles,
}
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--input", default=str(_PROCESSED / "ball_outcomes_t20_v1.pkl"))
parser.add_argument("--output", default=str(_PROCESSED / "player_profiles_t20_v1.json"))
args = parser.parse_args()
with open(args.input, "rb") as f:
records = pickle.load(f)
profiles = build_profiles(records)
output = Path(args.output)
output.parent.mkdir(parents=True, exist_ok=True)
with output.open("w") as f:
json.dump(profiles, f, indent=2)
print(
f"Wrote {output}: {len(profiles['batters'])} batters, "
f"{len(profiles['bowlers'])} bowlers"
)
if __name__ == "__main__":
main()
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