[情報] 公牛本季的RPM值

看板ChicagoBulls (芝加哥公牛)作者AhUtopian (It's my Life)時間11年前 (2014/12/10 00:31)推噓1(1推 0噓 2→)

留言3則, 3人參與討論串1/1

RK NAME TEAM GP MPG ORPM DRPM RPM WAR 23 Derrick Rose CHI 12 26.9 1.29 -0.48 0.81 0.64 51 Aaron Brooks CHI 20 19.2 1.24 -2.81 -1.57 0.18 5 Jimmy Butler CHI 18 39.9 3.19 0.16 3.35 2.54 37 Kirk Hinrich CHI 18 27.8 -0.92 -0.41 -1.33 0.32 78 E'Twaun MooreCHI 8 4.0 -1.63 -0.96 -2.59 0.00 5 Mike DunleavyCHI 20 30.7 1.57 1.03 2.60 1.86 67 Tony Snell CHI 17 9.9 -1.72 -1.07 -2.79 -0.05 78 Doug McDermottCHI 17 11.6 -3.06 -2.20 -5.26 -0.36 10 Taj Gibson CHI 13 28.2 0.28 1.37 1.65 0.89 22 Nikola MiroticCHI 20 17.6 -0.72 1.68 0.96 0.73 42 Pau Gasol CHI 17 35.9 0.01 -0.09 -0.08 0.86 79 Cameron BairstowCHI 4 7.5 -1.88 -0.36 -2.24 0.00 6 Joakim Noah CHI 17 31.9 -1.16 4.21 3.05 1.81 關於RPM的簡介： RPM is inspired by the same underlying +/- logic: If a team outscores its opponents when a player is on the court, he's probably doing something to help his team, whether or not he's putting up big numbers. RPM是利用與此相同的概念-當一個球員在場上時對球隊的整體幫助而不論他個人表現與否。 But the familiar +/- stat has a serious flaw: Each player's rating is heavily influenced by the play of his on-court teammates. 但是睿智的鄉民都知道一般+/-值有著嚴重的缺失：會大幅度受到跟你一起上場球員的影響。 For example, in the basic +/- numbers, Thunder backup point guard Reggie Jackson is ranked 27th in the league. But he's also spent the majority of his minutes playing alongside Kevin Durant, the league's likely MVP. What we really want to know is how much of Jackson's elite rating is attributable to his own play, and basic +/- simply can't tell us. 舉例來說，如果只看一般的+/-值，你會發現雷霆的替補控衛Reggie Jackson在聯盟能排到第27位！但是他大部份上場的時間都是和今年最有可能的MVP-Kevin Durant一起。我們真正想要知道的是，這個+/-有多少能看成是Jackson自己的功勞，而不是靠KD ，而一般的+/-值並不能告訴我們這一點。 But real plus-minus can. 但是真實正負值可以。 Where does real plus-minus come from? RPM是從哪來的咧？ Drawing on advanced statistical modeling techniques (and the analytical wizardry of RPM developer Jeremias Engelmann, formerly of the Phoenix Suns), the metric isolates the unique plus-minus impact of each NBA player by adjusting for the effects of each teammate, opposing player and coach. 從進階的數據分析技術而來（分析師Jeremias Engelmann），這個分析把隊友，對手和教練的影響考量進去，把個別NBA球員的正負影響分離出來。 The RPM model sifts through more than 230,000 possessions each NBA season to tease apart the "real" plus-minus effects attributable to each player, employing techniques similar to those used by scientific researchers when they need to model the effects of numerous variables at the same time. RPM模型是利用NBA每一季超過23萬次球權來分析有多少+/-屬於個別球員的貢獻。這裡運用的運算技術和科學研究上常常要用來分析多種變異值是類似的。 -- 我的文章更新，都在卡爾的粉絲團： https://www.facebook.com/KaLELsports 個人運動視界部落格： http://www.sportsv.net/authors/AhUtopian 公牛台灣球迷討論社團【愛公牛永久力挺公牛】： https://www.facebook.com/groups/j920151/?fref=ts -- ※ 發信站: 批踢踢實業坊(ptt.cc), 來自: 124.109.116.108 ※ 文章網址: http://www.ptt.cc/bbs/ChicagoBulls/M.1418142677.A.1E1.html