Objective Analysis Of Patrick Fisher, M.A.

With the emphasis on who is truly but he finished regulation play in a tie the best increasingly debated, outcomes with . Irwin won in a sub- measurement has finally made its way sequent sudden-death playoff, after fin- to sports performance. Many potential ishing in another tie following an 18- applications of outcomes analysis are hole playoff round. available: baseball players, college sports Table 2 shows the days in order of polls, competitive figure skating, and difficulty to achieve a good score from almost anything related to sports that the hardest, Sunday, to the easiest, Fri currently is evaluated. Some ofthe more day. In theory, the difficulty order of the complicated problems may take years of days would be Sunday, then Saturday, research to arrive at a complete answer, Friday, and Thursday as the easiest. Sun- while others, much less difficult, can be day should be the most difficult day be- analyzed quite simply. cause psychological pressure is most in- Of all sports measurement prob- tense on' the final day of scoring, when lems, those presented by the game ofgolf tournament ends and the championship are probably the easiest to solve due to is decided. This analysis shows that its scoring method. This FACETS theory to be essentially correct. Thurs- analysis is ofthe hole-by-hole scoring of day and Friday were misordered, but only

the 1990 United States Open at , slightly, as their mea- Table 2 - Day Measurement Report ------Medinah, IL in August, as reported by the United States Golf sures were only .03 I Measure Error I DAY / Association (USGA) . These data were collected over the four- apart. As expected, I 0 .28 0 .05 1 Sunday IHARDSST day tournament as the players turned in their score cards. this analysis shows Sun- I -0 .01 0 .05 I Saturday I 1 -0 .12 0 .05 I Thursday I Table 1 shows the players in order of ability in this par- day the most difficult 1 -0 .15 0 .05 I Friday IRASI=ST ------ticular championship . The winner, , is at the top, day by a significant Reliability 0 .92 Table 1 - Persons Measurement Report margin. ------Table 3 shows the holes in measure order from the hard- I Measure Error Persons I ------est hole on which to achieve a low (good) score to the easiest. 0 .46 0 .20 I Hale Irwin /B=ST 0 .46 0 .20 I Mike Donald 1 Holes 12 and 16 were 0 .38 0 .20 1 I Table 3 - Holes Measurement Report 0 .38 0 .20 I Billy Ray Brown I hardest to get scores ------0 .34 0 .20 I Mark Brooks I under par, and Holes I Measure Error I Holes I 0 .30 0 .20 I I ------0 .30 0 .20 I 1 14 and 5 were easiest I 0 .56 0 .09 1 Hole 16 HARDXST 0 .30 0 .20 I I 0 .49 0 .10 Hole 12 0 .30 0 .20 I I I I on which to score I 0 .32 0 .10 I Hole 18 0 .26 0 .20 I I 6 I / 0 .29 0 .10 I Hole 0 .26 0 .20 I Tom Sieckmann well. Reliability is 0 .28 0 .10 Hole 9 0 .26 0 .20 I Jose M . Olazabal I I I the holes 1 0 .27 0 .10 I Hole 4 0 .26 0 .20 I 1 very good for Hole 17 0 .26 0 .20 John Inman 1 I 0 .22 0 .10 I I (bottom I 0 .12 0 .10 1 Hole 15 -0 .10 0 .19 I I calibrations -0 / 0 .02 0 .10 1 Hole 2 .10 0 .19 I Blaine McCallister I of Table 3, .92) . This I 0 .00 0 .10 I Hole 8 -0 .10 0 .19 I David Duval I / -0 .04 0 .10 I Hole 3 -0 .13 0 .19 I I table provides useful .04 0 .10 H01e 13 -0 I -0 I .16 0 .19 1 I / -0 .13 0 .10 I Hole I -0 .19 0 .19 1 Ronan Rafferty I data for I -0 .15 0 .10 I Hole 7 -0 .23 0 .19 1 Robert Gamez / / -0 .34 0 .10 Hole 10 -0 .26 0 .19 operators wanting to I I I I -0 .37 0 .10 I Hole 11 -0 .29 0 .19 1 Howard Twitty I / -0 .70 0 .10 i Hole 14 -0 .33 0 .19 I I handicap this course -0 .53 0 .18 Michael E . Smith / I -0 .80 0 .10 1 Hole 5 ZASISST 1 fairly for non-champi------0 .59 0 .18 I Randy Wylie 111DRST onship use. Reliability 0 .92 SPRING 1998 POPULAR MEASUREMENT 41

In Table 4, the bolded portion demonstrates the effect vary for each player, given the different skills each pos- performance pressure had on two players. Brad Faxon and Ian sesses. Long hitters such as John Daly, , Woosnam both shot the same score on the same hole, but on and would have more room for error different days. Faxon shot a 3 over par 6 on Sunday, the most than a difficult day, while Woosnam shot the same on Friday, one of player the two easiest days. However, the table shows Faxon with a with the standardized residual ofthree and Woosnam with a five. Thus, different Woosnam's performance was more unexpected, more of a sur- skill, for prise than was Faxon's. There are two reasons for this differ- instance, ence. First, Faxon placed second from last (13-over par) ; so a ofCalvin bad score would have been more expected from him than from Peete. He Woosnam. Second, Faxon shot this on Sunday, the day bad hits the ball scores were expected more frequently than any other day. short, but accu-

Table 4 - Mistitting ratings rately. By contrast, ------long hitters such as Daly, IStResl DAY Persons Holes I ------Couples, and Woods are 3 Thursday Jose Maria olazabal Hole 17 I 3 Saturday Hole 17 i lower in accuracy. They 4 Saturday Hole 17 i can overcome an errant s Friday Ian lloonnan Hole 17 I 3 Saturday Ian Woosnam Hole 17 I shot with their length on 2 Sunday Hole 17 I 2 Sunday Hole 17 I the next shot. Peete is 2 Sunday Hole 17 I 3 Sunday Brad Faxon Hole 17 I the PGA Tour's record ------holder for driving ac- On each of the four tournament days, the pin place- curacy for a season, ment is changed on each green. This is to prevent the players hitting 84.6% offair- from becoming too familiar with each hole and increasing their ways played in 1982. P knowledge of how best to play the hole. It is done at the dis- A simple dichotomy E cretion of tournament officials ; however, there are no daily will suffice for driv- increments to make one day harder than another. In a pre- ing accuracy as well 0 Open article in "Golf Magazine" (Golf, June 1990, pp. 114- as the other statis- P 124), , two-time defending champion ofthe U.S. tical categories in Open, identified five holes which "will play a part in deciding golf. Currently, sta- L who wins the Open." From this statement we may surmise tistics in golf are per E that these are the most difficult holes in the tournament. He centages of driving accu- chose Holes 4, 7, 12, 13, and 16. On the FACETS analysis, racy, greens in regulation, Holes 12 and 16 came up to be the most difficult. Thus, Strange and saves. These factors and a few more have an impact on had predicted only two out of the top five "hardest" holes to the score earned on each hole. These factors in golf could be play. analyzed to provide a more comprehensive diagnostic view of L However, when looking at actual scores, Strange's fore- players' areas ofweakness and strength. A cast was correct to some extent. The second and third place This kind of analysis can be helpful to golf course ad- finishers, Mike Donald and Nick Faldo, respectively, both shot ministrators and players. The players could learn more defini- Y a bogey on Hole 16 on Sunday that would have given Donald tively where their weaknesses lie (driving, the short game, put the championship and Faldo would have qualified for the play- ting) and learn how the layout of the course can affect their off with Donald and Irwin. On the other hand, tournament play. Course officials could be provided with more accurate champion Hale Irwin parred Holes 4 and 16 and scored bird- and detailed data on difficulties of holes existing, or planned ies the other three holes on Sunday. He shot 5-under for the for. Such analyses could assist architects in the design of fu- day, which set him up for the opportunity to win the playoff. ture courses . Five-under par was the second lowest score over the four days. Thus, Strange was partially correct about his selected group of Patrick B. Fisher, MA five holes that would "play a part" in the decision of the win- Mr. Fisher earned hisMaster's from The University of Chicago in 1993 . ner. His fieldof study was Measurement, Evaluation, and Statistical Analysis focus- This analysis is simple, but a more detailed analysis is ing on sports performance measurement . His Master's paper was on measuring possible. Each golf stroke results in a task done correctly or baseball performance . Mr. Fisher is currently employed by the Rehabilitation Institute of Chicago in the Rehabilitation Services Evaluation Unit as a Pro- incorrectly, (e.g., in the fairway or not). Certainly there are gram Evaluator & Statistician . He is the proud papa of Bradley Patrick and varying degrees of "correctness" - but those that digress also BrandonMichael born on October 10, 1997 . E-mail: p-fisher@nwu .edu.

42 POPULAR MEASUREMENT SPRING 1998