https://uma-free.com/ https://uma-free.com/new-logo.png UMA-FREE Logo https://uma-free.com/articles/2026-03-30-tokyoturf1800m-waku-data https://uma-free.com/images/articles/data-analysis-eyecatch.png 東京芝1800mは7枠の複勝率32.5%が最強。中外枠の優位性を解析 https://uma-free.com/articles/2026-03-29-tokyoturf2400m-waku-data https://uma-free.com/images/articles/data-analysis-eyecatch.png 東京芝2400mは5枠勝率12.9%が最高、6枠回収率50%が穴の急所 https://uma-free.com/articles/2026-03-26-kyotodirt1200m-waku-data https://uma-free.com/images/articles/data-analysis-eyecatch.png 京都ダート1200mは8枠の複勝率27.8%と4枠の回収率163%が急所 https://uma-free.com/articles/2026-03-20-fukushimaturf1200m-waku-data https://uma-free.com/images/articles/data-analysis-eyecatch.png 福島芝1200m 1枠が勝率17.6%で内枠優位の馬券戦略 https://uma-free.com/articles/2026-03-20-chukyoturf1200m-waku-data https://uma-free.com/images/articles/data-analysis-eyecatch.png [中京芝1200m]3枠が勝率13.1%・回収率162%の枠順法則 https://uma-free.com/articles/2025-11-15-racing-calendar-guide https://uma-free.com/images/articles/beginner.png 年間番組表とクラス編成の構造｜時期別レースレベルと投資機会 https://uma-free.com/articles/2025-11-14-bloodline-beginners-guide https://uma-free.com/images/articles/beginner.png 系統別データ分析入門｜5大血統の得意コースと回収率の相関構造 https://uma-free.com/articles/2025-11-13-odds-reading-guide https://uma-free.com/images/articles/beginner.png オッズの歪みを見抜く技術｜推定勝率との乖離が生み出す投資期待値 https://uma-free.com/articles/2025-11-12-paddock-watching-guide https://uma-free.com/images/articles/beginner.png パドック観察の定量基準｜馬体増減と状態から見抜く期待値の上下 https://uma-free.com/articles/2025-11-11-weight-change-impact-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 馬体重増減の物理的影響｜±10kg変動による勝率5%台への暴落と回避戦略 https://uma-free.com/articles/2025-11-10-pace-analysis-guide https://uma-free.com/images/articles/data-analysis-eyecatch.png 前半タイムと展開の相関｜ハイペース時の逃げ馬勝率5.2%崩壊と差し馬の期待値 https://uma-free.com/articles/2025-11-09-bloodline-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 血統別回収率データ分析｜5大系統のコース適性と激走のトリガーを解明 https://uma-free.com/articles/2025-11-08-popularity-hit-rate-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 人気別成績の完全解剖｜1番人気の複勝率64.3%と中穴（5〜9番人気）の期待値 https://uma-free.com/articles/2025-11-07-trainer-win-rate-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 調教師データ分析｜中内田厩舎の勝率24.2%が示す「究極の仕上げ」と回収率 https://uma-free.com/articles/2025-11-06-hiroaki-matsuyama-jockey-analysis https://uma-free.com/images/articles/jockey.png 阪神芝1800m｜松山弘平の複勝率46.2%が教える関西圏の軸馬条件 https://uma-free.com/articles/2025-11-05-rusei-sakai-jockey-analysis https://uma-free.com/images/articles/jockey.png 阪神芝2000m｜坂井瑠星の複勝率48.5%が教える関西圏での軸馬選定 https://uma-free.com/articles/2025-11-04-takeshi-yokoyama-jockey-analysis https://uma-free.com/images/articles/jockey.png 東京芝2000m｜横山武史の複勝率52.3%が示す関東圏中距離の信頼度 https://uma-free.com/articles/2025-11-03-tokyo-turf-1600m-autumn-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 東京芝1600m秋開催｜外枠複勝率33.1%が教える馬場バイアスの見極め方 https://uma-free.com/articles/2025-11-02-hanshin-dirt-1400m-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 阪神ダート1400m｜8枠複勝率31.5%が教える外枠と先行馬の活かし方 https://uma-free.com/articles/2025-11-01-chukyo-turf-2000m-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 中京芝2000m｜差し馬の勝率35%が教える急坂コースの適性と買い目 https://uma-free.com/articles/2025-10-31-arima-kinen-nakayama-turf-2500m-analysis https://uma-free.com/images/articles/jyusyo-eyecatch.png 有馬記念と中山芝2500m｜1〜2枠複勝率37.8%が示す内枠絶対有利の構造 https://uma-free.com/articles/2025-10-30-japan-cup-tokyo-turf-2400m-analysis https://uma-free.com/images/articles/jyusyo-eyecatch.png ジャパンカップと東京芝2400m｜先行馬勝率40%と日本馬の勝率93.3% https://uma-free.com/articles/2025-10-29-elizabeth-queen-cup-kyoto-turf-2200m-analysis https://uma-free.com/images/articles/jyusyo-eyecatch.png エリザベス女王杯と世代間比較｜古馬勝率65%と2〜3枠複勝率35.4%の評価基準 https://uma-free.com/articles/2025-10-28-mile-championship-kyoto-turf-1600m-analysis https://uma-free.com/images/articles/jyusyo-eyecatch.png マイルCSと京都芝1600m｜3〜4枠の複勝率33.8%と差し馬勝率45%の因果 https://uma-free.com/articles/2025-10-27-tennosho-autumn-tokyo-turf-2000m-analysis https://uma-free.com/images/articles/jyusyo-eyecatch.png 天皇賞（秋）と東京芝2000m｜内枠有利の複勝率31.2%と差し馬勝率40%の根拠 https://uma-free.com/articles/2025-10-26-top20-ranking-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png JRA騎手・調教師ランキング｜川田将雅の勝率28.9%が示すトップ層の信頼性 https://uma-free.com/articles/2025-10-26-ticket-types-complete-explanation https://uma-free.com/images/articles/beginner.png 全券種・控除率データガイド｜期待値100%超を狙うための馬券選択 https://uma-free.com/articles/2025-10-26-racecourse-access-guide https://uma-free.com/images/articles/beginner.png 全国10競馬場の特徴と物理的バイアス｜コース形態が生む有利不利 https://uma-free.com/articles/2025-10-26-horseracing-terms-500 https://uma-free.com/images/articles/beginner.png データ競馬の必須用語辞典｜期待値・控除率・バイアス等の概念解説 https://uma-free.com/articles/2025-10-26-ground-condition-impact https://uma-free.com/images/articles/beginner.png 馬場状態（良〜不良）の物理的影響｜時計と脚質の相関データ分析 https://uma-free.com/articles/2025-10-26-frame-number-analysis https://uma-free.com/images/articles/beginner.png 枠順・馬番データの物理的バイアス｜コース形態が生む有利不利の構造 https://uma-free.com/articles/2025-10-26-distance-suitability-data https://uma-free.com/images/articles/beginner.png 距離適性とペースの因果関係｜過去成績から見抜く競走馬の最適条件 https://uma-free.com/articles/2025-10-26-chrysanthemum-stakes-kyoto-turf-3000m-analysis https://uma-free.com/images/articles/jyusyo-eyecatch.png 菊花賞と京都芝3000m｜外枠複勝率42.1%が教える長距離戦の距離ロス相殺 https://uma-free.com/articles/2025-10-26-beginners-complete-guide https://uma-free.com/images/articles/beginner.png 競馬初心者向け投資ガイド｜控除率20%の壁と複勝・単勝の合理的選択 https://uma-free.com/articles/2025-10-26-ai-prediction-manual https://uma-free.com/images/articles/beginner.png AI競馬予想の最適解｜UMA-FREE偏差値60以上の活用と資金配分戦略 https://uma-free.com/articles/2025-10-25-artemis-stakes-tokyo-turf-1600m-analysis https://uma-free.com/images/articles/jyusyo-eyecatch.png アルテミスSと枠順｜東京芝1600m秋開催の2枠複勝率35.8%が示す最適ゾーン https://uma-free.com/articles/2025-10-20-tosakikeita-jockey-analysis https://uma-free.com/images/articles/jockey.png 福島芝1200m｜戸崎圭太の複勝率62.3%が教える万能型騎手の狙い時 https://uma-free.com/articles/2025-10-19-fukushima-turf-1800m-complete-guide https://uma-free.com/images/articles/data-analysis-eyecatch.png 福島芝1800m｜3枠複勝率32.3%が教える中枠有利と前残りの構造 https://uma-free.com/articles/2025-10-18-sapporo-turf-2000m-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 札幌芝2000m｜1枠複勝率31.0%が教える内枠優位と洋芝の戦い方 https://uma-free.com/articles/2025-10-17-tokyo-dirt-1600m-february-stakes https://uma-free.com/images/articles/data-analysis-eyecatch.png 東京ダート1600m｜8枠複勝率30.1%が教える枠順と脚質の使い分け https://uma-free.com/articles/2025-10-17-kokura-turf-1200m-summer-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 小倉芝1200m｜7枠複勝率27.8%が教える外枠有利と差し馬の台頭 https://uma-free.com/articles/2025-10-16-hiroto-ishikawa-jockey-analysis https://uma-free.com/images/articles/jockey.png 福島芝1800m｜石川裕紀人の複勝率39.1%が教える穴馬の狙い方 https://uma-free.com/articles/2025-10-15-kyoto-turf-1800m-complete-guide https://uma-free.com/images/articles/data-analysis-eyecatch.png 京都芝1800m｜3枠複勝率39.4%が示す中枠有利のコース構造 https://uma-free.com/articles/2025-10-14-niigata-turf-1000m-straight-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 新潟芝1000m｜8枠複勝率41.2%が示す外枠偏重の構造 https://uma-free.com/articles/2025-10-13-yuga-kawada-jockey-analysis https://uma-free.com/images/articles/jockey.png 中山芝1800m｜川田将雅の複勝率50.0%が教える軸馬の選び方 https://uma-free.com/articles/2025-10-12-nakayama-ground-condition-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 中山競馬場と馬場状態｜不良馬場の1〜3番人気勝率28.6%が覆す道悪のセオリー https://uma-free.com/articles/2025-10-11-umami-horse-strategy https://uma-free.com/images/articles/2025-10-11-umami-horse-strategy-eyecatch.png AI予測と単勝回収率｜妙味馬25,441頭が示す回収率79%の馬券構築 https://uma-free.com/articles/2025-10-10-race-grade-chaos-analysis https://uma-free.com/images/articles/2025-10-11-umami-horse-strategy-eyecatch.png 重賞レースとグレード｜G1の複勝率19.1%から導く波乱前提の馬券戦略 https://uma-free.com/articles/2025-10-09-hanshin-turf-1600m-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 阪神芝1600m｜6枠複勝率32.4%と2枠勝率12.9%の使い分け https://uma-free.com/articles/2025-10-08-kosei-miura-data-analysis https://uma-free.com/images/articles/jockey.png 福島芝1200m｜三浦皇成騎手の複勝率54.1%が教えるローカル開催の狙い方 https://uma-free.com/articles/2025-10-07-yutaka-take-data-analysis https://uma-free.com/images/articles/jockey.png 京都芝2000m｜武豊騎手の複勝率64.0%が教える軸馬の選び方 https://uma-free.com/articles/2025-10-06-christophe-lemaire-data-analysis https://uma-free.com/images/articles/jockey.png 新潟芝1800m｜C.ルメール騎手の複勝率77.3%と1番人気時の馬券構築 https://uma-free.com/articles/2025-10-05-tokyo-turf-2400m-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 東京芝2400m｜8枠複勝率32.6%から導く差し・追込馬の買い時 https://uma-free.com/articles/2025-10-04-seasonal-ground-analysis https://uma-free.com/images/articles/2025-10-04-seasonal-ground-analysis-eyecatch.png 夏競馬（6〜8月）｜複勝率28.1%が示す上位人気馬の信頼度と馬券構築 https://uma-free.com/articles/2025-10-04-nakayama-dirt-1200m-data-analysis https://uma-free.com/images/articles/data-analysis-eyecatch.png 中山ダート1200m｜8枠複勝率28.6%が教える枠順と脚質の活かし方