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.
Team | 1st | 2nd | 3rd | 4th | Quarters |
New Zealand | 1 | 0 | 0 | 0 | 1 |
Australia | 0 | 0.976 | 0.024 | 0 | 1 |
Sri Lanka | 0 | 0.024 | 0.9725 | 0.0035 | 1 |
Bangladesh | 0 | 0 | 0.0035 | 0.9965 | 1 |
- | - | - | - | - | - |
India | 1 | 0 | 0 | 0 | 1 |
South Africa | 0 | 0.976 | 0.024 | 0 | 1 |
Pakistan | 0 | 0.017 | 0.664 | 0.1165 | 0.7975 |
Ireland | 0 | 0.007 | 0.312 | 0.1405 | 0.4595 |
West Indies | 0 | 0 | 0 | 0.743 | 0.743 |
The potential group results look like this:
Group A
NZ Aus SL Ban | 0.9725 |
NZ SL Aus Ban | 0.024 |
NZ Aus Ban SL | 0.0035 |
Group B
Ind SA Pak WI | 0.5295 |
Ind SA Ire WI | 0.1985 |
Ind SA Pak Ire | 0.1345 |
Ind SA Ire Pak | 0.1135 |
Ind Pak SA WI | 0.011 |
Ind Pak SA Ire | 0.006 |
Ind Ire SA WI | 0.004 |
Ind Ire SA Pak | 0.003 |
The three interesting potential quarter final match-ups to watch for here are
SA vs Aus | 4.7% |
Ind vs SL | 0.35% |
Ire vs Ban | 0.02% |
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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