以下AI預測於以各種歷史數據和最新即時賠率走勢做預測,賽前一天晚上做一次預測。比賽日早上10時開始每半小時更新一次!
AI模型: GPT 4o (如果反應良好會升級使用o1 pro/deepseek r1/o3 mini!! )
**Making Race Predictions**
I'm working on predictions for a horse race, focusing on Win picks, Place picks, Quinella combos, Trio, and First Four. I’ll provide reasons for each choice. It looks like the course is HV 1650m, and many horses are milers around that distance. I'll check if Race 9 fits this classification as Class 3 (with ratings from 60 to 80) and compute the necessary speed figures. This should help in making informed selections!**Estimating Last Race Times**
I'm estimating times for the 1650m distance based on recent performances. For example, J384 finished with a time of 1:40.54, H481 won at 1:39.43, and H381 had strong finishes as well. H037 posted a solid 1:39.16 but struggled in a previous 1650m at 1:40.77. His rating is 70, and given the drop back to 1650m, he might perform better now. K153 also shows promise with a win at 1:39.48, but I need to note that the main jockey isn't riding this time.**Reviewing Race Data**
The dataset shows that there's no assigned jockey for the upcoming race. Based on current trends, I can’t rely on those details, but I’ll assume the horse will be among the favorites, alongside H481. I see that H381 has been improving, especially with recent performances. J384 has shown strength in front-running, despite not having an ideal barrier. Then there's J364, who has improved with wins at HV 1650 and might have a chance to place. I need to check those trainer percentages for more insights!**Assessing Horse Contenders**
I'm evaluating several horses for the upcoming Race 9, which is likely at 1650m. K011 has only sprinted at 1200m, so I'm thinking he probably isn't a contender due to unproven stamina. K357 and L093 also show poor prospects at this distance. J486 is an AWT specialist, but this is turf, which isn’t ideal. K518 has shown moderate results but with low probability for improvement. H451, previously trained by Tony Cruz, has changed stables, which could offer a fresh start, but his past performance raises some risks.**Producing Betting Predictions**
I think it’s a good idea to include "凡凡有餘" in the First Four instead of 我做到 for some variety. He’s won two races recently, has a rating of 63, and shows decent data. I also need to mention risks associated with "開心勇駒" since it has a new stable. We’ll provide predictions ranked from 1 to 6, avoiding any references to myself or using IDs instead of horse names. I’ll ensure accuracy while using an HTML format for clarity!**Analyzing Horse Ratings**
I'm looking at a bunch of horses with a rating of 78. Some, like 勁好運, have promising stats. The jockey choice is tricky; if 潘頓 rides, that's great since he has a 22.6% win rate. There are also some good closers, such as 有財有勢, but their trainers have low win percentages. I need to focus on performances without assuming too much while accurately presenting the data. Planning to use bold formatting for key points in the predictions as well!**Evaluating Performance Scores**
I'm calculating the performance scores of different horses. For instance, 我做到 scores 6.36 based on lower trainer effectiveness, while 勁進駒 comes in at 5.85. 凡凡有餘, thanks to a higher trainer win percentage, scores 6.675. I predict the order as 勁好運 first, followed by 凡凡有餘 and 南區之星. I've realized I want to include both 勁好運 and 凡凡有餘 as win picks while ensuring a good balance with other combinations like Quinella bets and First Four selections.**Finalizing Predictions**
I need to make sure I'm referencing horse names correctly, not just their IDs. For the win picks, I'm choosing 勁好運 because of the weighted score, which is the highest. I’m also including 凡凡有餘, thanks to its good finishing. For the place picks, I have 勁好運, 南區之星, and 我做到. The combinations for the Quinella and Trio involve pairing the top contenders. Additionally, I'll set color codes for each category in the HTML output to enhance readability.
香港賽馬報告|第9場 前瞻
日期:2025-12-17|預計組別:第三班|途程:跑馬地草地 1650米
賽事框架與步速研判
- 步速形勢:預期「勁進駒」與「開心勇駒」爭先,步速偏真至略快;利後上型與「二疊跟走」之馬。
- 場地取向:本組多匹近仗最佳表現集中於跑馬地1650米(好/好快),時間與入位率具參考性。
- 加權方法:綜合評分=馬匹近績45% + 練馬師20% + 騎師15% + 賠率趨勢20%。即時賠率走勢未有資料,此部分以中性處理。
關鍵馬匹深度分析(按加權結論排序)
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勁好運(近2仗:19/11 HV1650好 1:39.43 勝;22/10 HV1650好 1:39.54 勝)
- 由後追贏連捷,適配真步速形勢;上仗從11位衝上首名,耐力與末段效率兼備。
- 練馬師廖康銘今季勝率12.9%、入位51.1%,配合馬匹狀態加分。
- 由四班升上三班亦即勝,評分上升後負磅合理,續看好。
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凡凡有餘(15/10 HV1650好快 1:40.44 勝;02/11 HV1650好快 1:39.35 勝;19/11 HV1650好 1:39.66 第五)
- 兩勝皆於同程,轉三班仍能由後列掃上得第五,級際適應力強。
- 練馬師沈集成勝率12.9%、入位39.2%,近況穩;此駒具冷中帶熱潛力,屬性價比對象。
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南區之星(22/10 HV1650好 1:39.48 勝;19/11 HV1650好 1:39.82 第七〈外檔12,2.5馬位〉)
- 轉入三班即贏,次仗大外檔失先仍只負2.5馬位,挫折容忍度不俗。
- 舊拍檔多為潘頓(今季勝率22.6%),若配得上一線騎師,更具爭勝力。
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我做到(02/11 HV1650好快 1:40.28 勝;19/11 HV1650好 1:39.60 第四)
- 同程重心馬,近四仗兩次入前四;上仗負135磅由後追至第四,硬淨度高。
- 騎師拍檔常見霍宏聲(勝率11.2%、入位41.4%),穩膽型爭位。
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有財有勢(05/11 HV1650好快 1:39.16 季軍;22/10 HV1650好 1:39.62 亞軍)
- 三仗內兩次上名且交出本組其中一個最快時間(1:39.16),末段質素有保證。
- 練者蔡約翰今季勝率4.1%偏低,但馬本身速度指標補足,屬潛在冷門搶位。
投注策略(以實戰與性價比為先)
說明:每項建議均附理由;即時賠率走勢無資料,按賽形與近績估值。
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獨贏(Win):
• 勁好運 —— 連勝同程,末段強勢配真步速;練馬師數據優於同組,多因素加乘。
• 凡凡有餘 —— 兩捷1650後升班仍能追入;屬中值偏冷的進擊點,期望值高。
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位置(Place):
• 勁好運 —— 形勢配合,底線高。
• 南區之星 —— 外檔不利後仍近;回合理檔或騎師配搭提升。
• 我做到 —— 高負磅仍能衝入前四,穩健的入位型。
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位置Q(Place Quinella, PQ):
• 勁好運 × 凡凡有餘 —— 一追一跟,步速圖有利雙方同入三甲。
• 勁好運 × 南區之星 —— 一熱一準,勝負與入位均有覆蓋價值。
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連贏(Quinella, Q):
• 勁好運 × 凡凡有餘 —— 末段強勢組合,配步速可爭首兩名。
• 勁好運 × 我做到 —— 若步速偏快,「我做到」後上補上前二機會佳。
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單T(Trio):
• 勁好運 × 凡凡有餘 × 南區之星 —— 擁有「近績速度 + 升班適應 + 戰鬥力」的三角防線。
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四連環(First Four):
• 勁好運 × 凡凡有餘 × 南區之星 × 我做到 —— 以兩匹強追配兩匹穩膽,覆蓋主流賽形的四格結構。
重點結論
- 核心邏輯:預期步速真快,後上力強的「勁好運」「凡凡有餘」最受惠;「南區之星」回到合理走位可補中;「我做到」穩健入位。
- 潛力冷門:「有財有勢」具最快分段與後勁,若臨場賠率走弱,可小注偏防位置或入伙四連環替代「我做到」增值博率。
- 風險提示:檔位與臨場步速若走慢,將利貼欄前置馬(如「勁進駒」);建議臨場按檔位微調位置盤。
註:賠率趨勢(TREND)資料未提供,已以中性處理;其餘數據均引述所列近績與今季騎練表現。祝君馬到功成!
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