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Urawa Horse Racing Prediction

November 26, 2025: AI’s Value Picks

An In-depth Analysis Report

Key Takeaways

  • Race 1: Original Pattern – Exhibits superior training performance, with an AI-predicted win rate of 43%.
  • Race 2: Oshin Bouquet – Expected to show significant improvement on its second start after a layoff, boasting an AI-calculated expected return of 360%.
  • Race 10: Fire Star – Possesses latent potential from its sprint pedigree, identified as an outsider candidate with a super high expected return of 431%.
  • AI Prediction Model – Analyzes race times, training deviation scores, pedigree suitability, and expected ROI to pinpoint horses with hidden value.

Overview of the Race Meeting and Market Analysis

Urawa Racecourse, a key venue in Minami Kanto horse racing, will host races on November 26, 2025, under late autumn conditions. The 1200-meter oval is characterized by its tight turns, making early speed crucial. The AI prediction model analyzes a comprehensive dataset including Basic Ability Rating, Training Deviation Score, Pedigree Suitability Score, and Expected Return (ROI) to identify “value picks”.

The “value picks” are generated by an AI prediction model that analyzes a comprehensive dataset, including:

  • Basic Ability Rating: Numerical value adjusted for track differences based on race times.
  • Training Deviation Score: Evaluation of recent workout times, joint training content, and stable comments.
  • Pedigree Suitability Score: Assessment of sire and dam’s progeny performance on the Urawa dirt course.
  • Expected Return (ROI): Investment value calculated from the discrepancy between projected odds and win probability.

Original Pattern in Race 1 is highlighted with a 43% win probability and a 203% expected return, indicating the AI’s high assessment of its potential and suitability.

Race Details

Race 1: 2-year-olds (1400m) – Proof of Overwhelming Potential

Recommended Horse: ◎ 6 Original Pattern

Original Pattern

Sex/Age: Colt, 2yo

Jockey: Kaede Ono

Stable: Tomoyuki Kokubo (Urawa)

AI Predicted Win Rate:43%

AI Predicted Place Rate:65%

Projected Odds (Expected Return):203%

Analysis:

Pedigree Background: Sired by Taisei Legend, known for progeny excelling in short-distance races (1200m-1400m). Dam’s sire Admire Max contributes sustained speed. This “speed × stamina” pedigree is advantageous for Urawa’s 1400m course.

Training Process: Showed strong performance in final workouts, matching older horses and indicating significant physical and mental development. Trainer noted it is “moving better than the previous race” and has become “more spirited.”

Past Performance and Growth: Debuted strongly, finishing 2nd, demonstrating high ability from the start. Trainer expects further refinement after its first race experience.

Competitor Analysis: While 9 Techno Apple is a contender, Original Pattern shows better training performance. 1 Osoleil could threaten, but Original Pattern possesses superior absolute speed.

Race 2: Lunchtime Challenge (1400m) – Transformation on Second Start

Recommended Horse: ◎ 11 Oshin Bouquet

Oshin Bouquet

Sex/Age: Filly, 3yo

Jockey: Ryo Nobata

Stable: Tomoyuki Kokubo (Urawa)

AI Predicted Win Rate:19%

AI Predicted Place Rate:59%

Projected Odds (Expected Return):360%

Analysis:

Pedigree Background: Sired by Curren Black Hill, known for early speed and tenacity. Dam’s sire Epiphaneia imparts stamina, enabling a front-running style.

Training Process: Shows dramatic improvement on its second start after a layoff, with “more nimble” movement. Indicates an ideal adjustment process.

Past Performance Analysis: Previously won at Urawa, demonstrating a front-running ability suited to the track. Experience in JRA maiden races indicates underlying strength.

Stable Comments: Trainer expects it to run its own race if it breaks well. The outside draw facilitates a smooth front-running strategy. High expected return offers greater appeal.

Race 3: Urawa 800 Round (800m) – Shock Therapy of Distance Reduction

Recommended Horse: ◎ 9 Kyoei Samantha

Kyoei Samantha

Sex/Age: Filly, 3yo

Jockey: Ko Akimoto

Stable: Hiroshi Ozawa (Urawa)

AI Predicted Win Rate:15%

AI Predicted Place Rate:58%

Projected Odds (Expected Return):308%

Analysis:

Pedigree Background: Sired by Mr. Melody, a pure sprinter whose progeny excel in short-distance speed. Dam’s sire Deep Impact contributes acceleration. Suited for “absolute speed” in dirt 800m races.

Tactical Shift: A deliberate “distance reduction” strategy by trainer Ozawa to stimulate the horse, aiming to break its current stagnation. AI analyzes this change as highly likely to awaken dormant speed instincts.

Past Performance and Current Status: Showed competitive ability in a 1300m race. Training indicates freshness.

Conclusion: The 308% expected return highlights AI’s valuation of the “distance reduction” strategy. Offers significant betting value for an upset.

Race 5: 3-year-olds and Up (1400m/1500m) – Confidence from a Prestigious Stable

Recommended Horse: ◎ 3 GT Engine

GT Engine

Sex/Age: Colt, 3yo

Jockey: Tsubasa Sasagawa

Stable: Tomoyuki Kokubo (Urawa)

AI Predicted Win Rate:15%

AI Predicted Place Rate:63%

Projected Odds (Expected Return):380%

Analysis:

Pedigree Background: Sired by Real Steel, dam’s sire Kurofune. This cross combines absolute speed and resilience on dirt.

Training Process: Showed improvement with hard driving in its final workout, indicating steady condition improvement.

Stable Comments and Reliability: Trainer Kokubo expresses confidence, stating “Its ability should be superior in this class. It has the early speed to lead.” The assignment of jockey Tsubasa Sasagawa signals the stable’s intent. High place rate offers appeal.

Race 6: Saitama Egg Cup (1400m) – Awakening of a Transferred Horse

Recommended Horse: ◎ 5 Gallos

Gallos

Sex/Age: Colt, 3yo

Jockey: Ko Akimoto

Stable: Koji Ozawa (Urawa)

AI Predicted Win Rate:32%

AI Predicted Place Rate:65%

Projected Odds (Expected Return):302%

Analysis:

Pedigree Background: Sired by Asia Express, known for strength in dirt races (1400m-1600m). Dam’s sire Fuji Kiseki also has high dirt aptitude. Ideal for Urawa’s 1400m course.

Training Process: Performed well against a higher-class horse, indicating ability surpasses the current field. Comment “kept up with higher-class horse” highlights potential.

True Meaning of Stable Comments: Trainer noted “course suitability” and a “time-wise chance.” Previous 2nd place finish confirms adaptation. Strong training, pedigree, and results make Gallos a top contender.

Race 8: Saitama Milk Cup Special (2000m) – Proof of Stamina

Recommended Horse: ◎ 10 My Eiger

My Eiger

Sex/Age: Colt, 6yo

Jockey: Satoshi Takahashi

Stable: Shinsuke Kudo (Urawa)

AI Predicted Win Rate:29%

AI Predicted Place Rate:68%

Projected Odds (Expected Return):239%

Analysis:

Pedigree Background: Sired by Copano Rickey, a legendary dirt horse. Dam’s sire Gold Allure is a top dirt sire. Pedigree promises inexhaustible stamina and power for long-distance races.

Training Process and Stable’s Confidence: Maintained good condition in training. Trainer is optimistic, expecting “further improvement.” Distance suitability and current fitness offer superior reliability.

Race 9: Urawa SPAT4 Award Special (1500m) – Fusion of Growth and Pedigree

Recommended Horse: ◎ 9 Reboot Power

Reboot Power

Sex/Age: Colt, 4yo

Jockey: Hiroshi Kato

Stable: Kazuma Yabuchi (Urawa)

AI Predicted Win Rate:22%

AI Predicted Place Rate:57%

Projected Odds (Expected Return):295%

Analysis:

Pedigree Background: Sired by Reach the Crown, dam’s sire Special Week. Pedigree supports a front-running and tenacious racing style over 1500m.

Training Process: Worked with an A2 class horse, finishing even, indicating excellent current condition and strength. Trainer views increase in body weight positively as “growth” and expects improvement.

Race 10: Urawa Jockeys’ Trial Round 1 (1400m) – Qualification for a Dark Horse

Recommended Horse: ◎ 6 Fire Star

Fire Star

Sex/Age: Colt, 4yo

Jockey: Retsu Oikawa

Stable: Shinsuke Kudo (Urawa)

AI Predicted Win Rate:12%

AI Predicted Place Rate:53%

Projected Odds (Expected Return):431%

Analysis:

Pedigree Background: Sired by Fine Needle, known for absolute speed and acceleration in short-distance races. Dam’s sire Admire Moon also contributes speed. Well-suited for Urawa’s 1400m course.

Training Process: Training arrow points “↗ (improving).” Showed excellent physical condition and gradual improvement in recent workouts.

Conclusion: Despite a modest win rate, the 431% expected return signifies it is underestimated. With its sprint pedigree’s explosive power and jockey Retsu Oikawa’s expected bold riding, Fire Star is a strong candidate for an upset and offers significant value.

Summary: Urawa Horse Racing Investment Strategy for November 26, 2025

The Urawa racing program on November 26, 2025, offers a mix of “sure-bet” horses supported by data and track information, and “dark horses” with appealing odds.

Today’s Recommended Portfolio:

Sure-bet Anchor

Original Pattern (Race 1)

Strategy: Heavy betting on Win and Place, and fixed anchor for Trifecta (1st place).

Reason: Superior training, 43% AI win rate, high pedigree suitability.

Value Anchor

Oshin Bouquet (Race 2)

Strategy: Win bet, and anchor for Quinella and Quinella Place.

Reason: Expected improvement on second start after layoff, powerful 360% AI expected return.

Upset Potential

Fire Star (Race 10)

Strategy: Place bet, aiming for high odds in Quinella Place with outsiders.

Reason: Latent potential from sprint pedigree, expectation of super high payout with 431% expected return.

This report aims to provide a clear perspective for betting considerations and contribute to successful outcomes at Urawa in late autumn.

ヤナシ社長(旧:生成系競馬予想)

競馬予想家 (経験20年)

データ関連企業の社長であり、学生時代にはアルゴリズムコンテストで世界3位に入賞したAI技術者。20年以上にわたり統計解析を競馬予想に応用してきた競馬予測家でもあります。生成系AIを駆使した客観的で革新的な競馬予想を提供し、「生成AI競走馬評価」などのコンテンツを通じて、競馬をより深く楽しめるようサポートしています。

専門分野: AIを使った競馬予想。生成AIを使ったコンテンツ作成
実績・資格:

主な活動実績 AI競馬マスターズ2023: 3位入賞 俺プロ: 馬将認定 参考成績(中央): https://yoso.netkeiba.com/?pid=yosoka_profile&id=562 参考成績(地方): https://yoso.netkeiba.com/nar/?pid=yosoka_profile&id=562

ヤナシ社長(旧:生成系競馬予想)

データ関連企業の社長であり、学生時代にはアルゴリズムコンテストで世界3位に入賞したAI技術者。20年以上にわたり統計解析を競馬予想に応用してきた競馬予測家でもあります。生成系AIを駆使した客観的で革新的な競馬予想を提供し、「生成AI競走馬評価」などのコンテンツを通じて、競馬をより深く楽しめるようサポートしています。

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ヤナシ社長(旧:生成系競馬予想)

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