Tuesday 10 March 2015

Updated QF prediction chart

In my previous post I ran a simulation to find out potential quarter-final places. I received some criticism for having England so low, and Bangladesh so high, but events over the past 48 hours have shown that the respective probabilities of the two teams qualifying may not have been so far off.

The program that I wrote to do the simulation was corrupted when my computer crashed and I foolishly hadn't saved it, so I've written a different one to re-calculate. This time I made a couple of modifications. I moved from an additive model for run rates to a multiplicative one, as that seemed to be more sensible (teams are realistically a % better than other teams, rather than a fixed number of runs better. We would expect the margins to blow out more in terms of runs on better batting pitches than on difficult tracks).

I also slightly reduced the standard deviation of the simulation by moving it to one quarter of the mean rather than one third. This again made the results seem more sensible. There were too many teams scoring over 400 or under 100 previously.

Here are the new results. This table shows the probability of each team qualifying in position 1, 2, 3 or 4 in their group, and then the total probability of qualifying. Again I have not factored rain into this, and with Cyclone Pam heading towards New Zealand that may be a little optimistic.

Team1st2nd3rd4thQuarters
New Zealand10001
Australia00.9760.02401
Sri Lanka00.0240.97250.00351
Bangladesh000.00350.99651
------
India10001
South Africa00.9760.02401
Pakistan00.0170.6640.11650.7975
Ireland00.0070.3120.14050.4595
West Indies0000.7430.743

The potential group results look like this:

Group A
NZ Aus SL Ban0.9725
NZ SL Aus Ban0.024
NZ Aus Ban SL0.0035

Group B
Ind SA Pak WI0.5295
Ind SA Ire WI0.1985
Ind SA Pak Ire0.1345
Ind SA Ire Pak0.1135
Ind Pak SA WI0.011
Ind Pak SA Ire0.006
Ind Ire SA WI0.004
Ind Ire SA Pak0.003

The three interesting potential quarter final match-ups to watch for here are

SA vs Aus4.7%
Ind vs SL0.35%
Ire vs Ban0.02%

In reality the probabilities of Ireland vs Bangladesh and Australia vs South Africa are higher, as they are both much more likely if rain starts to fall.

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