Article View: sci.math.stat
Article #895Re: probability models for tennis scoring systems
From: Ron Morgan
Date: Thu, 30 Oct 1986 19:00
Date: Thu, 30 Oct 1986 19:00
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2178 bytes
In article <50@cartan.Berkeley.EDU> desj@brahms (David desJardins) writes:
>In article <1715@emory.UUCP> riddle@emory.UUCP (Larry Riddle) writes:
>>[...] However, if one player has a small advantage over the other in
>>serving efficacy, then this advantage gets magnified when considering
>>the entire set. Which scoring system produces the least magnification?
>>Interestingly, the 9 point and the No-Ad systems are "best" in this
I'm not sure I agree with this. As anybody who's played seriously (!) knows,
there are a LOT of factors contributing to a victory than points. Tennis is
probably the most psychological game in the world, for example. A championship-
caliber player can be two sets behind and muster up the self-control and drive
to pull up and ahead and go on to win (jeez, I wish I could do that). A
lesser player tends to be psychologically cowed into concession. Uhoh.....I
made a mistake here... actually, I'm disagreeing with the guy who suggested
the system with the *greatest* magnification. At any rate two identical
scoring situations can (among many, many, other things) have drastically
different results in terms of how the game progresses, thus rendering
statistical, pragmatic analyses somewhat inconclusive.
Ron Morgan
(whackTHUMPwhackTHUMPwhackTHUMP)
--
osmigo1, UTexas Computation Center, Austin, Texas 78712
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Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: arc1-ca.pugleaf.net!utzoo!mnetor!seismo!ut-sally!ut-ngp!osmigo1 From: osmigo1@ut-ngp.UUCP (Ron Morgan) Newsgroups: sci.math.stat,net.sport Subject: Re: probability models for tennis scoring systems Message-ID: <4232@ut-ngp.UUCP> Date: Thu, 30-Oct-86 14:00:37 EST Article-I.D.: ut-ngp.4232 Posted: Thu Oct 30 14:00:37 1986 Date-Received: Fri, 31-Oct-86 02:01:02 EST References: <1715@emory.UUCP> <50@cartan.Berkeley.EDU> Reply-To: osmigo1@ngp.UUCP (PUT YOUR NAME HERE) Organization: Speech Communication UT Austin Lines: 28 Keywords: probability, tennis, markov chains