{
  "gameweek": 2,
  "generated_at": "2026-08-25T13:17:04.870089+00:00",
  "id": 347,
  "name": "Nmecha",
  "web_name": "Nmecha",
  "team": "LEE",
  "position": "FWD",
  "price": 5.5,
  "ownership_pct": 0.6,
  "status": "a",
  "news": "",
  "flag": null,
  "kickoff": "2026-08-30T13:00:00+00:00",
  "projection": {
    "x_points": 1.39,
    "captain_ev": 2.77,
    "ceiling": 7.86,
    "value": 0.252,
    "bonus": 0.95,
    "defcon": 0.0,
    "p_defcon": 0.001,
    "cs_points": 0.0,
    "start_prob": 0.2631578947368421
  },
  "season": {
    "total_points": 0,
    "event_points": 0,
    "minutes": 1065,
    "realized_ppm": 0.0
  },
  "ranks": {
    "xpts_rank": 197,
    "own_rank": 245,
    "own_vs_xpts_gap": 48
  },
  "verdict_tier": "B",
  "verdict": {
    "tier": "B",
    "price_band": "Mid",
    "call": "hold"
  },
  "six_week_xpts": {
    "1": 1.28,
    "2": 1.45,
    "3": 1.38,
    "4": 1.69,
    "5": 1.44,
    "6": 1.03
  },
  "fixtures": [
    {
      "gw": 2,
      "opponent": "BRE",
      "venue": "H",
      "kickoff": "2026-08-30T13:00:00Z",
      "difficulty": 3,
      "lam_for": 1.374,
      "lam_against": 1.3,
      "source": "market"
    },
    {
      "gw": 3,
      "opponent": "BHA",
      "venue": "A",
      "kickoff": "2026-09-05T14:00:00Z",
      "difficulty": 4,
      "lam_for": 1.391,
      "lam_against": 1.91,
      "source": "fdr_prior_calibrated_on_gw1_market_odds"
    },
    {
      "gw": 4,
      "opponent": "NEW",
      "venue": "H",
      "kickoff": "2026-09-14T19:00:00Z",
      "difficulty": 2,
      "lam_for": 1.91,
      "lam_against": 1.391,
      "source": "fdr_prior_calibrated_on_gw1_market_odds"
    },
    {
      "gw": 5,
      "opponent": "CRY",
      "venue": "H",
      "kickoff": "2026-09-19T14:00:00Z",
      "difficulty": 3,
      "lam_for": 1.499,
      "lam_against": 1.391,
      "source": "fdr_prior_calibrated_on_gw1_market_odds"
    }
  ],
  "squads": {
    "model": false,
    "consensus": false
  },
  "notes": [],
  "distribution": null,
  "page": "/fpl/players/347-nmecha/",
  "methodology": "Market odds (de-vigged) → Dixon-Coles scorelines → 50k Monte-Carlo simulations, scored on the official Fantasy Premier League points table.",
  "source": "https://evmax.ai",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "license_text": "CC BY 4.0 — free to reuse with attribution to evmax (https://evmax.ai)"
}