| 名 | 牌手 | xButler | AOB | x.P/s | 队伍 |
|---|---|---|---|---|---|
| 1 | Helen Yeung HKG | 1.705 | 0.072 | 98/60 | HKG |
| 1 | Lo Wing Ho HKG | 1.705 | 0.072 | 98/60 | HKG |
| 3 | Gemma Tan JANE | 1.099 | 0.158 | 64/68 | JANE |
| 4 | Conny E Sumampouw JKT | 0.949 | -0.200 | 85/74 | JKT |
| 4 | Leslie Gontha JKT | 0.949 | -0.200 | 85/74 | JKT |
| 6 | Shih Juei Yu YBM | 0.788 | -0.257 | 138/132 | YBM |
| 6 | Wang Ping YBM | 0.788 | -0.257 | 138/132 | YBM |
| 8 | Li Jie Shanghai Yiju | 0.733 | -0.434 | 63/54 | Shanghai Yiju |
| 8 | Shen Qi Shanghai Yiju | 0.733 | -0.434 | 63/54 | Shanghai Yiju |
| 10 | Julius A George JKT | 0.711 | -0.346 | 93/88 | JKT |
| 10 | Kristina Wahyu JKT | 0.711 | -0.346 | 93/88 | JKT |
| 12 | Cheng Yen Lam sg thai mixed | 0.682 | -0.034 | 63/88 | sg thai mixed |
| 12 | Siok Hui Low sg thai mixed | 0.682 | -0.034 | 63/88 | sg thai mixed |
| 14 | Jezzica ZA Tahya Sulut-Djarum | 0.668 | -0.236 | 85/94 | Sulut-Djarum |
| 14 | Donny Louduard Sulut-Djarum | 0.668 | -0.236 | 85/94 | Sulut-Djarum |
| 16 | Taufik G Asbi JKT | 0.625 | 0.330 | 36/122 | JKT |
| 16 | Lusje Olha Bojoh JKT | 0.625 | 0.330 | 36/122 | JKT |
| 18 | SUN Shaolin Shanghai Yiju | 0.596 | 0.129 | 57/122 | Shanghai Yiju |
| 18 | Wenfei Wang Shanghai Yiju | 0.596 | 0.129 | 57/122 | Shanghai Yiju |
| 20 | Bilan Wang Mountain-Sea | 0.573 | -0.203 | 76/98 | Mountain-Sea |
| 20 | Steven Chen Mountain-Sea | 0.573 | -0.203 | 76/98 | Mountain-Sea |
| 22 | Liu Yiqian Shanghai Yiju | 0.554 | 0.156 | 43/108 | Shanghai Yiju |
| 22 | Wang Weimin Shanghai Yiju | 0.554 | 0.156 | 43/108 | Shanghai Yiju |
| 24 | Yizhuo Zhang ORG | 0.541 | 0.000 | 53/98 | ORG |
| 24 | Sun Yanhui ORG | 0.541 | 0.000 | 53/98 | ORG |
| 26 | Ding Junfeng RichStone | 0.496 | -0.004 | 49/98 | RichStone |
| 26 | HU Linlin RichStone | 0.496 | -0.004 | 49/98 | RichStone |
| 28 | Dai Jianming ORG | 0.377 | 0.082 | 26/88 | ORG |
| 28 | Zhang Yu ORG | 0.377 | 0.082 | 26/88 | ORG |
| 30 | Fan Kang Wei To Win | 0.377 | 0.203 | 16/92 | To Win |
| 30 | Tsai Po Ya To Win | 0.377 | 0.203 | 16/92 | To Win |
| 32 | Tetsuya UEDA Japan Mixed | 0.280 | -0.269 | 56/102 | Japan Mixed |
| 32 | Mariko UEDA Japan Mixed | 0.280 | -0.269 | 56/102 | Japan Mixed |
| 34 | Xu Ruihong Xia Shun | 0.174 | -0.173 | 34/98 | Xia Shun |
| 34 | Chen Zhiji Xia Shun | 0.174 | -0.173 | 34/98 | Xia Shun |
| 36 | Qian Jinsong ORG | 0.168 | 0.086 | 8/98 | ORG |
| 36 | Zhu Huixia ORG | 0.168 | 0.086 | 8/98 | ORG |
| 38 | Jodi TUTTY Australia | 0.164 | 0.044 | 12/100 | Australia |
| 38 | David BEAUCHAMP Australia | 0.164 | 0.044 | 12/100 | Australia |
| 40 | Yan Yan RichStone | 0.148 | -0.362 | 50/98 | RichStone |
| 40 | Gao Xiang RichStone | 0.148 | -0.362 | 50/98 | RichStone |
| 42 | Wu Tzu Lin To Win | 0.137 | 0.121 | 2/128 | To Win |
| 42 | SO Ho Yee To Win | 0.137 | 0.121 | 2/128 | To Win |
| 44 | Chen Jun Dalian | 0.120 | -0.050 | 15/88 | Dalian |
| 44 | He Yun Dalian | 0.120 | -0.050 | 15/88 | Dalian |
| 46 | Masayuki HAYASAKA Japan Mixed | 0.099 | -0.051 | 12/80 | Japan Mixed |
| 46 | Toshiko KAHO Japan Mixed | 0.099 | -0.051 | 12/80 | Japan Mixed |
| 48 | Wang Wei SHK | 0.064 | -0.069 | 8/60 | SHK |
| 48 | KF Mak SHK | 0.064 | -0.069 | 8/60 | SHK |
| 50 | Xia Jianjiang Jinjiang | 0.061 | -0.030 | 8/88 | Jinjiang |
| 50 | Chen Yanqing Jinjiang | 0.061 | -0.030 | 8/88 | Jinjiang |
| 52 | Sung KyungHae BTS | 0.046 | -0.015 | 6/98 | BTS |
| 52 | Jang Junbae BTS | 0.046 | -0.015 | 6/98 | BTS |
| 54 | Yuko NODA Japan Mixed | 0.039 | -0.020 | 6/102 | Japan Mixed |
| 54 | Hiroyuki NODA Japan Mixed | 0.039 | -0.020 | 6/102 | Japan Mixed |
| 56 | Anthony Soebroto Sulut-Djarum | 0.026 | 0.298 | -25/92 | Sulut-Djarum |
| 56 | Ernis Sevita Sulut-Djarum | 0.026 | 0.298 | -25/92 | Sulut-Djarum |
| 58 | Lu Yi Zu To Win | -0.002 | -0.158 | 10/64 | To Win |
| 58 | Yang Hsin Lung To Win | -0.002 | -0.158 | 10/64 | To Win |
| 60 | Po-Yen Su Mountain-Sea | -0.016 | -0.277 | 23/88 | Mountain-Sea |
| 60 | Rona Lo Mountain-Sea | -0.016 | -0.277 | 23/88 | Mountain-Sea |
| 62 | Lai Wai Kit HKG | -0.030 | 0.113 | -10/70 | HKG |
| 63 | Wen Jing AC | -0.043 | -0.343 | 15/50 | AC |
| 64 | Kim Sunyoung KT bridge | -0.049 | 0.057 | -15/142 | KT bridge |
| 64 | Chen Kuo-Wen KT bridge | -0.049 | 0.057 | -15/142 | KT bridge |
| 66 | Sophie Ashton Australia | -0.063 | 0.377 | -44/100 | Australia |
| 66 | Dave Wiltshire Australia | -0.063 | 0.377 | -44/100 | Australia |
| 68 | Sugiharto JANE | -0.093 | -0.234 | 20/142 | JANE |
| 68 | Nurkunyil JANE | -0.093 | -0.234 | 20/142 | JANE |
| 70 | Hu Yihong Dalian | -0.138 | 0.011 | -14/94 | Dalian |
| 70 | Li Xiaoyi Dalian | -0.138 | 0.011 | -14/94 | Dalian |
| 72 | Flora Wong HKG | -0.206 | 0.123 | -23/70 | HKG |
| 73 | Lee Hansang BTS | -0.218 | 0.100 | -28/88 | BTS |
| 73 | Jeong Dokyeng BTS | -0.218 | 0.100 | -28/88 | BTS |
| 75 | Shen Xiaoming AC | -0.222 | -0.222 | 0/64 | AC |
| 76 | Zhu Huilin Dalian | -0.292 | 0.306 | -61/102 | Dalian |
| 76 | Huo Shiyu Dalian | -0.292 | 0.306 | -61/102 | Dalian |
| 78 | Wang Xiaojing Xia Shun | -0.337 | 0.316 | -64/98 | Xia Shun |
| 78 | Tu Weize Xia Shun | -0.337 | 0.316 | -64/98 | Xia Shun |
| 80 | Bert Toar Polii Sulut-Djarum | -0.341 | 0.220 | -55/98 | Sulut-Djarum |
| 80 | Tracy Polii Sulut-Djarum | -0.341 | 0.220 | -55/98 | Sulut-Djarum |
| 82 | Koo Charmian HKG | -0.350 | 0.307 | -46/70 | HKG |
| 83 | Alan Sia JANE | -0.356 | 0.158 | -73/142 | JANE |
| 84 | Kelvin Ng RichStone | -0.378 | 0.031 | -36/88 | RichStone |
| 84 | Liu Peihua RichStone | -0.378 | 0.031 | -36/88 | RichStone |
| 86 | Ingu Hwang BTS | -0.380 | 0.212 | -58/98 | BTS |
| 86 | Yang Sungae BTS | -0.380 | 0.212 | -58/98 | BTS |
| 88 | Wang Yuanluo Jinjiang | -0.411 | 0.330 | -80/108 | Jinjiang |
| 88 | Wang Yuanwei Jinjiang | -0.411 | 0.330 | -80/108 | Jinjiang |
| 90 | Wang Cheng AC | -0.415 | -0.063 | -50/142 | AC |
| 91 | Liu Yongmei Xia Shun | -0.422 | -0.195 | -20/88 | Xia Shun |
| 91 | Zeng Conghai Xia Shun | -0.422 | -0.195 | -20/88 | Xia Shun |
| 93 | Zhu Ping Jinjiang | -0.429 | -0.247 | -16/88 | Jinjiang |
| 93 | Jin Ke Jinjiang | -0.429 | -0.247 | -16/88 | Jinjiang |
| 95 | Lau Pik Kin HKG | -0.527 | 0.316 | -59/70 | HKG |
| 96 | Deng Xiaojing AC | -0.535 | -0.021 | -73/142 | AC |
| 97 | Sun Xudong SHK | -0.537 | -0.308 | -16/70 | SHK |
| 97 | Ran Jingrong SHK | -0.537 | -0.308 | -16/70 | SHK |
| 99 | Mary Ma AC | -0.595 | 0.112 | -65/92 | AC |
| 100 | Hwang Iynryung KT bridge | -0.658 | -0.024 | -90/142 | KT bridge |
| 100 | Wang Chien-Kuo KT bridge | -0.658 | -0.024 | -90/142 | KT bridge |
| 102 | Baron NG SHK | -0.664 | 0.136 | -56/70 | SHK |
| 102 | Crystal Tang SHK | -0.664 | 0.136 | -56/70 | SHK |
| 104 | JITTAKAN P sg thai mixed | -0.704 | -0.439 | -26/98 | sg thai mixed |
| 104 | Peeracha SURIYA sg thai mixed | -0.704 | -0.439 | -26/98 | sg thai mixed |
| 106 | Chiu Wei Chun YBM | -0.752 | 0.357 | -71/64 | YBM |
| 106 | Lin Meili YBM | -0.752 | 0.357 | -71/64 | YBM |
| 108 | Zhang Gang AC | -0.785 | 0.151 | -73/78 | AC |
| 109 | Zhang Yalan YBM | -0.906 | 0.060 | -85/88 | YBM |
| 109 | Chen Yeh YBM | -0.906 | 0.060 | -85/88 | YBM |
| 111 | Paul Tan sg thai mixed | -0.971 | -0.195 | -76/98 | sg thai mixed |
| 111 | Selene Tan sg thai mixed | -0.971 | -0.195 | -76/98 | sg thai mixed |
| 113 | Kuei-Lan Chen Mountain-Sea | -1.326 | -0.020 | -128/98 | Mountain-Sea |
| 113 | Wei-Wei Tsao Mountain-Sea | -1.326 | -0.020 | -128/98 | Mountain-Sea |
| 115 | Lan Foo JANE | -2.253 | 0.247 | -135/54 | JANE |
| 名 | 牌手 | xButler | AOB | x.P/s | 队伍 |
|---|---|---|---|---|---|
| 1 | Wen Ke Chen Lucky(HKG) | 0.879 | -0.431 | 55/42 | Lucky(HKG) |
| 1 | Wen Ling Liu Lucky(HKG) | 0.879 | -0.431 | 55/42 | Lucky(HKG) |
| 3 | Li Shuo Lucky(HKG) | 0.550 | 0.002 | 23/42 | Lucky(HKG) |
| 3 | Jill Lin Lucky(HKG) | 0.550 | 0.002 | 23/42 | Lucky(HKG) |
| 5 | Jane Choo JANE | -0.166 | -0.066 | -2/20 | JANE |
一、Butler计分法的基本概念
定义与用途:Butler 是一种用于团体赛中评估每对牌手得分能力的统计指标,通过计算牌手平均每副牌获得的国际比赛分(IMP)来量化其表现。
适用场景:国际桥牌团体赛(如世界桥联赛事),用于横向比较不同牌手的表现。
核心构成要素
Raw Butler(原始值):以每副牌为计算单元,将一对牌手的得分与全场平均分比较,计算 IMP 差值后取均值。
Butler(调整值):剔除极端值(如全场最高分/最低分)后重新计算,减少偶然因素影响。
xButler(扩展值):对 Butler 值进行标准化处理,消除不同比赛规模、对手水平差异的影响,便于跨赛事比较。
二、计分规则对比
Butler 与传统 IMP 计分法核心差异在于比较基准的选择。传统 IMP 仅比较两队得分差,而 Butler 以全场平均分为基准,更客观反映牌手真实水平。
| 计分方法 | 比较基准 | 计算方式 | 优势 |
|---|---|---|---|
| 传统 IMP | 两队得分差 | 直接比较 | 简单直观 |
| Butler 计分法 | 全场平均分 | 与平均分比较后取均值 | 排除对手强弱影响 |
三、计分流程与示例
以一副牌为例,全场共8桌比赛,NS 方向得分分别为:+100, -50, +200, 0, -100, +50, +150, -200。
全场平均分:(+100-50+200+0-100+50+150-200) ÷ 8 = 18.75
若某对牌手得分为 +150,则 Butler 值为:150 - 18.75 = +131.25 → 换算为 IMP
四、比赛应用与数据解读
在比赛中,Butler 值用于实时排名和赛后评估。正值表示表现优于全场平均,负值则表示低于平均。
xButler 通过标准化处理,使得不同轮次、不同组别的成绩具有可比性,是选拔和评估牌手的重要参考指标。