An in-depth analysis of the 10th race at Kyoto Racecourse on January 10, 2026. We break down top contenders like the AI’s #1 pick, Jasper Divine, and fan-favorite Imbroglio, using the latest AI predictions and training data.
Racing AI Analysis Team•January 9, 2026
Article Highlights
Race Context
The 10R Shikagatani Tokubetsu is a 1200m turf handicap at Kyoto. The condition of the early-season track and each horse’s form are critical factors.
AI’s Top Pick: Jasper Divine
AI gives Jasper Divine (jockey: Yutaka Take) the highest overall rating, boasting the fastest final workout time and a high expected return value.
Key Challenger: Imbroglio
Imbroglio (jockey: Yuga Kawada) is returning from a 4-month layoff but shows improved training form and mental maturity.
Dark Horses
Foodman and Kouseki are highly rated by the AI as potential upsetters who could contend for top spots depending on the race’s pace.
Table of Contents
- 1. Race Overview & Trends
- 2. AI Top Pick: Jasper Divine
- 3. Main Contender: Imbroglio
- 4. Other Horses to Watch
- 5. Conclusion & Betting Slip
- 6. Related Articles
1. Race Overview & Trends
Let’s start with the basics. This is a handicap race held on the Kyoto 1200m turf course (right-handed, A-course).
Start Time
14:55 JST
Conditions
4yo+, 2-Win Class
Projected Track
Weather: Sunny / Turf: Good
The keys to this race are the early-season Kyoto track conditions, the weight differences from the handicap, and the horses’ recent form. Several contenders have received high marks from the AI, suggesting a competitive race is on the horizon.
2. AI Top Pick: Jasper Divine
The AI system awarded its highest “Overall Rating (314 pts)” to Jasper Divine (4-year-old colt, trained by Hideyuki Mori).
Jockey
Yutaka Take
Weight
56.0kg
Sire
Frosted
Damsire
Reload
Recent Training & Condition
In the final workout on January 7th at Ritto Training Center, Jasper Divine clocked the fastest time of the day: 50.5 seconds for 4 furlongs, with a final furlong of 12.0 seconds. The stable commented, “He maintained a great pace and kept his momentum to the end. His coat is gleaming, and he’s in excellent condition.” This indicates significant improvement from his last race (3rd place). With the AI also flagging a top-tier “Expected Return Value,” he’s a prime contender if he can leverage his superior speed.
3. Main Contender: Imbroglio
A likely favorite is Imbroglio (4-year-old filly, trained by Keiji Yoshimura), with the skilled Yuga Kawada in the saddle.
Jockey
Yuga Kawada
Weight
56.0kg
Sire
Admire Moon
Damsire
Hard Spun
Recent Training & Condition
Though returning from a 4-month layoff, Imbroglio posted a solid 52.5-second workout for 4 furlongs (final furlong 12.6s) on Jan 7th. The feedback was positive: “She ran smoothly and finished with tenacity. She’s ready despite the light training.” Trainer Yoshimura added, “Taking our time has improved her training quality. I can see mental growth.” While she lacks a win record after a break, her condition is excellent. AI prediction odds place her as the favorite (3.6x).
4. Other Horses to Watch
Foodman (Jockey: Mirai Iwata)
AI Hit Rate: 3rdWeight: 57.0kg
His form has stabilized since wearing blinkers. Trainer Oguri has high hopes: “He has the ability, and I want him to seal the deal.” His sharp final workout earned him a “superb condition” rating.
Kouseki (Jockey: Kohei Matsuyama)
AI Overall Rating: 2ndWeight: 57.0kg
After a quick turnaround in his last race, he’s now refreshed and in better form. Trainer Masato Nishizono notes, “He runs well after a break,” which was evident in his sharp, powerful final workout.
5. Conclusion: AI-Powered Betting Slip
This year’s Shikagatani Tokubetsu looks like a showdown between the perfectly-prepped Jasper Divine and the proven Imbroglio, but the nature of a handicap race always leaves room for surprises.
For the AI’s final betting slip, detailed selections (◎◯▲), and longshot picks, check out the full analysis via the link below. Use it to enhance your own predictions!Check Final Predictions & Betting Slip
6. Related Articles
How to Use Horse Racing AI ModelsKey Points in Training AnalysisIn-Depth Jockey Data BreakdownKyoto Racecourse GuideRacehorse Bloodlines & Aptitude
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