• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.837-844
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• 2009

This study used data of soccer match 5170 games from 1950 to 2008 in five European football professional leagues. We compared average of SGPG (scored goal per game) in each two and three points of win. And we compared average of SGPG in each leagues. In order to predict PtsG (points per game), we executed regression analysis using SGPG and LGPG (lossed goal per game). Finally, We applied regression analysis to a K-league.

• The Korean Journal of Applied Statistics
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• v.14 no.1
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• pp.201-210
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• 2001

스포츠에서 통계적 개념이 부적절하게 사용되고 있는 몇 가지의 경우들을 살펴보고, 이를 바로잡기 위한 방안을 제시한다. 먼저 야구의 경우를 자세히 살펴본 뒤 축구와 권투의 경우에 관해서도 논의한다.

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1201-1208
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• 2010

In teaching probability and statistics classes, we should increase efforts to develop examples that enhance teaching methodology in delivering more meaningful knowledge to students. Sports is one field that provides a variety of examples and World Cup Soccer events are a treasure house of many interesting problems. Teaching, using examples from this field, is an effective way to enhance the interest of students in probability and statistics because World Cup Soccer is a matter of national interest. In this paper, we have suggested several examples pertaining to counting the number of cases and computing probabilities. These examples are related to many issues such as possible scenarios in the preliminary round, victory points necessary for each participant to advance to the second round, and the issue of grouping teams. Based on a simulation using a statistical model, we have proposed a logical method for computing the probabilities of proceeding to the second round and winning the championship for each participant in the 2010 South Africa World Cup.