Measuring Accuracy in Croquet
How accurate are you on the croquet court? This short piece builds on the idea of Critical Distance and shows how a player can measure his or her accuracy.
Critical Distance: The distance at which a player would expect to hit 50% of roquet attempts.
Of course the Critical Distance (CD) does not only depend of the player’s accuracy but also court characteristics come into play. We can expect that a player’s Critical Distance will vary from day to day, according to mood and focus, but we will proceed assuming that it is possible to explore accuracy whilst acknowledging that other factors are there in the background.
The chart below shows how the chances of players of different Critical Distances vary according to the distance from the object ball.
To get to grips with the chart consider a player with a Critical Distance of 5m (the green curve). When the distance is 5m the chance of a roquet is 0.5 (or 50:50, or 50%, or 1 in 2), corresponding to the definition of Critical Distance. At a distance of 10m the chance for that player drops to 0.13 – an outside chance of a roquet. At 3m the chance rises to 0.93 – an almost certain hit.
In order to establish your own Critical Distance it would be possible to start by hitting a lot of balls at another ball from a distance of several metres. However the object ball will keep moving, when you hit it, and the ball would have to be tediously replaced. An easier approach is to try to hit the peg. This is harder than hitting a ball because the peg is thinner. Hitting a peg at 1m is equivalent to making a roquet at approximately 1.4m and this equivalence allows you to measure your Critical Distance fairly easily.
How to Find Your Critical Distance
What Does Your Result Mean?
Your Critical Distance will be of some value when playing a game as it will help you to figure out which shot is most favourable for you to take. If you estimate your opponent's critical distance it will be similarly useful for indicating their probability of successful shots.
Of course accuracy is only part of the game of croquet. The abilities to gauge distance and to play strategically are just two important additional features. Nevertheless it should be possible to give a broad link between accuracy and handicap and to do this we need data. It would be really helpful if you could send me (firstname.lastname@example.org) some of your results. Simply send me your result – using the list below and I will then give you some feedback.
Aim: When a player tries to roquet he or she never does so perfectly; there is always some deviation from the ideal, however slight, and we can think of this as the angle shown below:
Normal distribution: When trying to hit one ball with another (making a roquet) in addition to accuracy and concentration a host of other factors can influence the outcome. These include lawn imperfections caused by earthworms, weeds, grass type, the latest mowing, slopes, stray leaves and dew. Additionally the way that the mallet head hits the ball (angle and speed), the involuntary movements of the player during swings (breathing, heartbeat, unplanned jerks) and wind are all relevant, as is the player’s concentration.
We can assume that the angle deviation does not depend on the distance of the ball from the other ball, so long as it is hit reasonably hard, but on the factors mentioned above. Because there are several independent causes of deviation we can assume that many attempts to make a roquet will result in a spread of shots that follow a normal distribution1: the closer the object ball the tighter the spread. This is shown below for a ball close to the player and some distance away.
The normal distribution has been extensively studied and we can draw on that knowledge base. Take a distance at which the player has a 50:50 chance of making a roquet. The normal distribution of shots is characterised by the Standard Deviation (SD) and it is convenient to assign it a SD of 1 at the 50:50 point. Sixty eight percent of shots will fall with one SD to the right or left of the centre and 18% of those will not make the roquet. Using the tables or an Excel spreadsheet, we can work out that 50% of the shots will come within 0.67 of a SD either side of the central point.
Now, for all other distances we know what the SD will be since it will be proportional to the distance from the player. We also know what width is needed to make a roquet – anything more would result in a miss. It is (0.67*2) and this stays constant whatever the distance. Using this constant figure and the SD for a particular distance we can work out, from tables, or using formulae in an Excel spreadsheet, what proportion of shots will successfully make a roquet.
How Many Shots are Needed in a Trial?
Consider the distribution of the number of successes of repeated trials of n shots.
The variance of a distribution is n * p(1 - p) where n is the number of trials and p is the probability of success2.
We are interested in the SD (square root of the variance) for the CD when p is 0.5. This is
√(n * 0.5(1 - 0.5)) = √(0.25 * n)
This expression give the SD of the number of shots and to convert it to a probability of making a roquet we need to divide by n giving √(0.25 / n).
This give is the SD of chance of a roquet; the 68% Confidence Interval. It can be applied to chart for CDs. If we want to distinguish CDs of 1m apart then we need a 68% Confidence Interval of about 0.1. This implies 25 shots using the formula above.
Equating Roquets and the Hitting of Pegs
A peg has a width of 38mm whereas the ball has a width of 91.2mm and so a ball which just would just hit a peg would roquet another ball at (2*91.2) / (38+91.2) or 1.412 times the distance to the peg.
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