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January 1, 2026 / Updated Jan 1, 2026: Sparking All Star Challenge 2026 Predictions

An in-depth analysis of the Sparking All Star Challenge (Quasi-Stakes) at Kawasaki Racecourse. Can reigning champion Placebo secure a repeat victory? We break down the top contenders, including stakes winner Kenshi Rainbow, using AI data analysis to evaluate form, pedigree, and potential upsets.

Race Highlights

  • Reigning champion Placebo is the top contender with a 34.7% AI-predicted win probability.
  • Stakes winner Kenshi Rainbow could benefit significantly from the extended distance.
  • Permanent emerges as a key dark horse, boasting the highest AI Expected ROI at 131.
  • This is a crucial qualifier for the Hochi All Star Cup, raising the stakes for all contenders.

Contents

  1. Race Information
  2. Key Prediction Points
  3. Top Contender Analysis
  4. AI Prediction Data
  5. Conclusion

Race Information

Race NameSparking All Star Challenge (Quasi-Stakes)Date & TimeJan 2, 2026 (Fri) 16:35CourseKawasaki, Dirt 2100m (Left-handed)ConditionsThoroughbred, Class A2 & Below, Selected Horses, Special Weight

Key Prediction Points

1. Placebo: The Reigning Champion’s Form

The clear favorite is last year’s winner, Placebo (Gelding, 5 y.o.). Although finishing 5th in his last race, the Doei Kinen, that was his first start after transferring back to the NAR circuit. Expect significant improvement. His affinity for the unique 2100m Kawasaki course is proven, and AI models agree, giving him a top-ranked 34.7% win probability. (Source: 20260102_nar_with_AI.xlsx)

“This course, with its relaxed pace, suits him perfectly.”— Trainer Gen Hayashi

2. Kenshi Rainbow: The 4-Year-Old Challenger

Kenshi Rainbow (Colt, 4 y.o.) is a formidable opponent, having won last year’s Tokyo Wan Cup (Stakes). While he finished 3rd in his last outing, the Heartbeat Train, due to an unfavorable pace, he shouldn’t be underestimated. The extended distance and his proven class make him a serious threat.

“If the race develops into a test of closing speed, he can do much better.”— Trainer Yuta Sato

3. Permanent: The High-Value Dark Horse

The AI data points to Permanent (Colt, 7 y.o.) as a fascinating longshot. While his win probability is a modest 6.7%, his AI Expected ROI is a staggering 131, the highest in the field, indicating significant value. He finished 2nd in this same race last year and is a known specialist on left-handed tracks, making him a dangerous contender to ignore. (Source: 20260102_nar_with_AI.xlsx)

“The Kawasaki 2100m is the perfect stage for this horse to show his strengths.”— Trainer Tsuyoshi Takano

Top Contender Analysis

Placebo (#7)

PedigreeIncantation x Bergamasque (by Neo Universe)AI Win Probability34.7% (Rank 1)

Last year’s champion, who also performed well with a 4th place finish in the subsequent Hochi All Star Cup. Ranks highest in both proven performance and course suitability.

Kenshi Rainbow (#5)

PedigreeRainbow Line x Glorious Iris (by Meisho Samson)AI Win Probability18.3% (Rank 2)

With a pedigree rich in stamina from sire Rainbow Line and damsire Meisho Samson, the stretch to 2100m is likely to be a significant advantage.

Aoi Eagle (#4)

PedigreeCurren Black Hill x Aoi Angel (by Heart’s Cry)AI Win Probability14.9% (Rank 3)

Finished a close 4th against a tough A2-class field in his last start. The stable reports he’s in “excellent condition after careful preparation.” The key will be adapting to the Kawasaki course for the first time.

AI Prediction Data Summary

#Horse NameAI Win Prob. (%)AI Expected ROI
7Placebo34.7106
5Kenshi Rainbow18.397
4Aoi Eagle14.9105
6Curren Alcantara11.7108
3Permanent6.7131
8Ryudman6.293
1Sayono Field5.282
2Castle Brave1.9118
Source: 20260102_nar_with_AI.xlsx

Conclusion: Placebo Leads, but Upsets Loom

Last year’s winner, Placebo, appears to have a clear edge based on course suitability and proven ability. However, this race is far from a one-horse show. The high AI Expected ROI for Permanent and the underlying potential of Kenshi Rainbow suggest that an upset is a distinct possibility.

For more detailed final predictions and betting recommendations, please consult a specialized racing portal.

View Final Predictions on netkeiba

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
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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。