Funabashi Horse Racing AI Prediction (November 6) Kamuyukara Sprint: Featured Horses and Recommended Longshots Analysis

November 6, 2025 / Updated November 6, 2025

We deliver horse racing predictions for “Value Bets” at the Minami Kanto Funabashi Racecourse on November 6, 2025, combining AI’s quantitative predictions with expert qualitative information. Focusing on the gap between AI-calculated win probabilities and market odds, we thoroughly analyze horses from strong favorites to promising longshots. We provide commentary on key horses in each race, including Primo Python in the main race “Kamuyukara Sprint,” along with stable comments and training data.

Key Takeaways from This Article

• Identifies “Value Bets” by combining AI’s quantitative predictions with expert qualitative information.
• Races 11 (Primo Python) and 9 (San Maru Ship) are highly reliable favorite candidates, with AI evaluations aligning with stable comments.
• Race 8 (Bamborina) is a promising longshot, with AI calculating a 74% place rate.
• Horses making their transfer debut (Race 4 Oodenta, Race 6 Strada Reale) are also recommended by AI based on stable evaluations.

This article integrates AI’s quantitative predictions (estimated win probability, estimated odds) with qualitative internal information such as stable comments and training data. We aim to identify and analyze “Value Bets”—horses that are not just likely winners but those with a positive gap between their market value (odds) and actual ability (win probability).

The nine featured horses recommended by AI are broadly categorized into three types based on their characteristics:

• High Reliability, Medium Value (Favorites): Such as Funabashi Race 09 San Maru Ship (36% win probability) and Funabashi Race 11 Primo Python (31% win probability). AI win probabilities are extremely high, stable comments also give them a “◎” (top recommendation), indicating both high reliability and betting value.
• High Probability, Low Value (Expected Wins): Funabashi Race 02 Atrave Face (37% win probability, 194% estimated odds). While market evaluation is high, AI assigns an even higher probability. This category represents horses expected to perform well.
• High Risk, High Value (Longshots): Funabashi Race 08 Bamborina (16% win probability, 428% estimated odds). Notably, the estimated place probability is 74%, indicating that AI rates it as “unlikely to win, but highly likely to finish in the top three,” making it the most interesting horse for analysis.

Please note that for Funabashi Races 01 and 02, detailed expert reports are not available, so the analysis will be limited to AI’s quantitative evaluation and pedigree/jockey analysis based on race card data.

November 6, 2025 Funabashi Horse Racing AI Recommended Value Bet List

*Win Expectancy = (Est. Win Prob. x Est. Odds / 100). A value exceeding 1.00 theoretically indicates a positive return.

Quantitative Evaluation and Pedigree Analysis (Funabashi Races 01 & 02)

For these two races, detailed expert reports are not available, so the analysis focuses on the AI model’s quantitative evaluation and supporting pedigree backgrounds derived from the race card data.

Funabashi Race 01 C3 Select (Dirt 1200m)

Race Prediction Key Points: According to AI analysis, this race clearly presents a “single strong favorite” scenario. Horse #5, Harmony Hokuto, with an estimated win probability of 42%, significantly outperforms other horses. The estimated odds of 236% (2.36x) closely match the 42% win probability (equivalent to approx. 2.38x), indicating a strong alignment between AI’s evaluation and market perception. This horse is evaluated more as a “straightforward favorite” rather than a “value bet.”

Featured Horse Column: #5 Harmony Hokuto (7yo Male)

• AI Evaluation Interpretation: 42% win probability, 65% place probability. The AI’s high confidence in a 7-year-old horse suggests a clear class advantage in the current C3 category and consistent recent performance.
• Pedigree Backing: Sire is Hokko Tarumae, dam’s sire is French Deputy (USA). The sire imparts dirt stamina and power, while the dam’s sire brings American speed and front-running ability. This combination is typically a favorable pairing for Funabashi Dirt 1200m, supporting the AI’s evaluation from a pedigree perspective.
• Jockey: Shigeharu Honda. A veteran jockey who knows the Funabashi course inside out, there are no negative factors.

Conclusion: Although qualitative data is limited, we deem this horse a reasonable cornerstone bet, trusting the AI’s absolute figure (42% win probability) and pedigree background.

Funabashi Race 02 C3 Select (Dirt 1000m)

Race Prediction Key Points: This is a 2-year-old race. Despite the short careers and difficulty in comparing abilities, AI gives Horse #6, Atrave Face, a high win probability of 37%. The estimated odds of 194% (1.94x) indicate even more concentrated popularity than AI’s evaluation (37% win probability = approx. 2.7x). While this suggests potential “over-popularity,” AI still analyzes it as having the highest probability of winning.

Featured Horse Column: #6 Atrave Face (2yo Male)

• AI Evaluation Interpretation: 37% win probability, 55% place probability. These figures for a 2-year-old in a 1000m race indicate a high degree of maturity and superior speed ability.
• Pedigree Backing: Sire is Oval Ace, dam’s sire is Casino Drive (USA). The sire is an emerging dirt stallion, and the dam’s sire is a strong A.P. Indy-line dirt pedigree. There are no pedigree deficiencies for Funabashi 1000m, which demands speed and power.
• Stable/Jockey: Kyo Harita stable, Akira Harita jockey. This father-son duo suggests a high level of determination to win.

Conclusion: Although expected to be an overwhelming favorite, AI’s evaluation is equally high. Its reliability is considered comparable to Harmony Hokuto in Race 01.

Detailed Analysis of AI Predictions and Expert Data (Funabashi Races 03-11)

Funabashi Race 03 Eucalyptus Debut Maiden (Dirt 1000m)

Race Prediction Key Points: This is a maiden race, so all evaluations rely on training and official barrier trials (qualifying exams). AI highly rates Horse #1, Sadamu Mont Blanc, with a 35% win probability.

Featured Horse Column: #1 Sadamu Mont Blanc (2yo Male)

• AI Evaluation: 35% win probability, 53% place probability.
• Qualitative Verification (Barrier Trial/Stable): Trainer Inamasu gave a “○” (good) evaluation, commenting, “It moved better than expected in the barrier trial. It’s well-prepared and I think it’s the type to perform well in a real race.” Experts also highly rated it, stating, “In the barrier trial, it seized the lead and sprinted briskly, pulling away from the field,” and “It’s capable of contending for top honors.” AI’s high win probability can be attributed to its assessment of the high-level speed demonstrated in this barrier trial.
• Qualitative Verification (Training): The final gallop on Funabashi’s outer track (slightly firm) recorded 67.5 – 51.1 – 37.9 effortlessly, and was evaluated as “moving with plenty of room.”

Conclusion: The barrier trial performance, training movements, and AI figures all align. If it can employ a front-running strategy from the innermost gate, similar to its barrier trial, its chances of winning its debut race are extremely high.

Funabashi Race 04 C2 (Dirt 1200m)

Race Prediction Key Points: A C2 class short-distance race. Horse #3, Oodenta, recommended by AI, is making its debut after transferring from JRA (Japan Racing Association), making its ability assessment the main focus.

Featured Horse Column: #3 Oodenta (3yo Male)

• AI Evaluation: 30% win probability, 66% place probability. These are unusually high figures for a horse making its transfer debut.
• Qualitative Verification (Stable): The biggest highlight is that the stable (Trainer Taito Mori) has given it a “◎” (top recommendation) evaluation. He explicitly stated, “Although there are temperament issues, its training movements are quite good. I’m expecting a lot from its debut race,” providing strong evidence to support the AI’s evaluation.
• Qualitative Verification (Training): The final gallop on Funabashi’s outer track (slightly firm) recorded 49.3 – 36.9 under strong urging, and was evaluated as “moving smoothly.”

Conclusion: All three elements—AI (30% win probability), stable (◎), and training (agile movements)—are aligned. If temperament issues do not emerge, the C2 class can be considered a stepping stone.

Funabashi Race 05 Sunstone Stakes 2yo (Dirt 1500m)

Race Prediction Key Points: A 2-year-old stakes race. The distance extension from a 1000m maiden race to 1500m will be key.

Featured Horse Column: #2 Cosmo Gigantea (2yo Male)

• AI Evaluation: 34% win probability, 48% place probability. This is a high-level evaluation for a 2-year-old horse.
• Qualitative Verification (Stable): Trainer Kawazu (Kawasaki) gave a “○” (good, expecting a strong race) evaluation. His comments, “Last race, it was forced wide and still performed well against strong rivals,” and “The wide Funabashi course seems to suit it,” explain the basis of the AI’s evaluation. It is presumed that AI disregarded the disadvantage in the previous race and judged that the course change would be a positive factor.
• Qualitative Verification (Training): The final gallop at Kawasaki was performed effortlessly on a heavy track, highlighting its smooth condition with “no travel fatigue.”

Conclusion: It appears AI accurately assessed the upside from the previous race’s disadvantage and course suitability. Stable comments and training content also support this, indicating high reliability.

Funabashi Race 06 C2 (Dirt 1500m)

Race Prediction Key Points: A C2 class 1500m race. AI once again recommends a transfer horse from JRA, #7 Strada Reale.

Featured Horse Column: #7 Strada Reale (3yo Male)

• AI Evaluation: 30% win probability, 64% place probability.
• Qualitative Verification (Stable): Trainer Yoneya gave a “○” (good) evaluation. While assuring, “There are no issues with its preparation,” he also explicitly stated the risk: “The only question is whether it can adapt to this track condition.”
• Qualitative Verification (Training): The final gallop was a strong effort, finishing 0.7 seconds ahead of its stablemate, indicating no issues with its preparation.
• Pedigree: Sire is Saturnalia, dam’s sire is Daiwa Major. This pairing could be considered more suited for turf, so there is a pedigree-related risk regarding track suitability.

Conclusion: A “model-recommended” value bet, highly rated by AI despite the stable acknowledging a risk. Although there are pedigree concerns, it is worth targeting if one trusts AI’s ability assessment.

Funabashi Race 08 Riding Club Crane Chiba Cup B3 (Dirt 1200m)

Race Prediction Key Points: A B3 class short-distance race. This race features a highly characteristic AI evaluation.

Featured Horse Column: #6 Bamborina (3yo Filly)

• AI Evaluation: Estimated win probability 16%, estimated place probability 74%, estimated odds 428%.
• AI Evaluation Interpretation (Discrepancy between Win and Place Probabilities): A 74% place probability is extraordinary. AI analyzes this as “difficult to win, but extremely likely to finish in the top three.” This signals that the horse possesses “sufficient absolute ability, but has a decisive flaw preventing it from winning outright.”
• Qualitative Verification (Stable): Trainer Noboru Tamai’s “○” (good) comment unravels the mystery of the AI’s evaluation. He stated, “While she has a difficult temperament, her condition is not bad. If she can run smoothly without being boxed in.” The conditions “difficult temperament” and “running smoothly without being boxed in” are the factors contributing to the low win probability, while “condition is not bad” is the basis for the high place probability.

Conclusion: This is today’s most analytically interesting “value bet.” While a win bet carries high risk, a 74% place probability is very appealing. It could be the optimal choice as a core for Place bets, Quinella, and Trifecta.

Funabashi Race 09 Aki no Yama Sprint B1 (Dirt 1200m)

Race Prediction Key Points: A B1 class sprint race. AI highly rates Horse #1, San Maru Ship, with a 36% win probability.

Featured Horse Column: #1 San Maru Ship (7yo Male)

• AI Evaluation: 36% win probability, 60% place probability.
• Qualitative Verification (Stable): Trainer Hajime Kawashima gave the only “◎” (top recommendation) among the nine horses recommended today. He indicated an undeniable readiness to win, stating, “His body is leaner, and his condition has improved. Naturally, I have high expectations.”
• Qualitative Verification (Training): Preparation is perfect with out-of-stable training. It finished alongside an A2 class horse, indicating perfect readiness.
• Qualitative Verification (Recent Form): On an impressive 3-race winning streak.

Conclusion: A “rock-solid” favorite with AI (36%), stable (◎), training (perfect out-of-stable prep), and recent form (3-race winning streak) all aligning. The innermost gate is also a positive factor.

Funabashi Race 11 Kamuyukara Sprint A2 (Dirt 1000m)

Race Prediction Key Points: A high-level, lightning-fast A2 class race. The promoted horse, Primo Python, will face a critical test.

Featured Horse Column: #4 Primo Python (7yo Male)

• AI Evaluation: 31% win probability, 59% place probability, odds 278%.
• Qualitative Verification (Stable): Trainer Uchida gave a “◎ Fully Prepared” (top recommendation) evaluation. He publicly stated that the horse is “fully prepared for this race after the last one. The course change is also not an issue, and I’m looking forward to it,” indicating it’s been prepared to peak.
• Qualitative Verification (Key Data): Experts’ opinions also align with “trusting its underlying ability.” They noted, “After a long layoff, it restarted from B1 and is now on a 2-race winning streak. Its past achievements, such as a 3rd place in an S1 race, are not to be underestimated,” evaluating it as having superior underlying ability even with the promotion to A2.
• Qualitative Verification (Training): Out-of-stable training. Its strong finish alongside a higher-class A1 horse, going wire-to-wire, indicates it is in a condition to immediately contend in the A2 class.

Conclusion: All qualitative data—stable (◎), experts (trusting underlying ability), and training (finished alongside an A1 horse)—support AI’s high 31% evaluation. Alongside San Maru Ship in Race 09, its reliability is considered the highest level today.