Here's some probabilities to help your next risk game.
3 attacking 2
Results
Attacker loses 0: 0.373126
Attacker loses 1: 0.338294
Attacker loses 2: 0.28858
Expected
Attacker’s expected loss: 0.915454
Defender’s expected loss: 1.084545
Attacker's advantage: 54.2273%
3 attacking 1
Results
Attacker loses 0: 0.657842
Attacker loses 1: 0.342158
Expected
Attacker’s expected loss: 0.342158
Defender’s expected loss: 0.657842
2 attacking 2
Results
Attacker loses 0: 0.233466
Attacker loses 1: 0.326058
Attacker loses 2: 0.440476
Expected
Attacker’s expected loss: 1.207011
Defender’s expected loss: 0.792989 Attacker's disadvantage: 0.396495%
2 attacking 1
Attacker loses 0: 0.579365 Expected results are the same as the percentages.
Attacker loses 1: 0.420635
1 attacking 2
Attacker loses 0: 0.253968 Expected results are the same as the percentages.
Attacker loses 1: 0.746032
1 attacking 1
Attacker loses 0: 0.416667 Expected results are the same as the percentages.
Attacker loses 1: 0.583333
General Rolling Probabilities
Attacker
High 2nd
1 0.003968 0.06746
2 0.027778 0.170635
3 0.075397 0.22619
4 0.210317 0.297619
5 0.277778 0.170635
6 0.404762 0.06746
Defender
High 2nd
1 0.027777778 0.305555556
2 0.083333333 0.25
3 0.138888889 0.194444444
4 0.194444444 0.138888889
5 0.25 0.083333333
6 0.305555556 0.027777778
1 comment:
Genius. During the summer I built a random number generator system that allowed me to test the true probability of random clicking squares on the expert level of Minesweeper. It took me an hour for 16 samples:
Trial Clicks
1 3
2 3
3 5
4 17
5 4
6 4
7 4
8 8
9 2
10 4
11 6
12 14
13 6
14 2
15 2
16 4
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