It is clear that all players will play 1, 2 or 3 or be worse off than before. So to simplify the analysis, we consider only probabilities of playing 1, 2, or 3 as $p_1$, $p_2$, and $(1-p_1-p_2)$.
We then look for a Nash Equilibrium for the three moves. In other words, assuming all the opponents play with a strategy of $(p_1,p_2,1-p_1-p_2)$, the expected value of the moves should be identical.
This turns out to be the case for $(0.4,0.38,0.22)$, which is then the best strategy (ie choose A: 40%, choose 2: 38%, and choose 1: 22%).
Does it work? Well, if everyone plays the same strategy, you would expect to lose 0.8 of the time and to win 0.2 of the time, so your expected game value is -0.6 (I'm saying 1 point for a win and -1 for a lose).
Here's a simulation where player A plays $(0.4,0.38,0.22)$, and the other 4 players play a random strategy (specified in the table). I simulate 1000 games and tally the score. I then note whether player A did better than -0.6 or not:
0.31,0.12,0.57 -0.318 True (1000 games)
0.12,0.67,0.22 -0.11 True (1000 games)
0.42,0.19,0.40 -0.43 True (1000 games)
0.14,0.34,0.53 -0.234 True (1000 games)
0.39,0.21,0.40 -0.568 True (1000 games)
0.33,0.54,0.13 -0.514 True (1000 games)
0.21,0.56,0.23 -0.37 True (1000 games)
0.81,0.09,0.10 0.138 True (1000 games)
0.32,0.31,0.38 -0.576 True (1000 games)
0.82,0.10,0.08 0.124 True (1000 games)
0.26,0.45,0.29 -0.54 True (1000 games)
0.74,0.18,0.08 -0.178 True (1000 games)
0.49,0.45,0.06 -0.47 True (1000 games)
0.46,0.49,0.05 -0.464 True (1000 games)
0.77,0.15,0.09 -0.114 True (1000 games)
0.52,0.35,0.13 -0.518 True (1000 games)
0.25,0.04,0.71 -0.024 True (1000 games)
0.05,0.50,0.45 0.144 True (1000 games)
0.42,0.22,0.36 -0.558 True (1000 games)
0.09,0.27,0.64 0.034 True (1000 games)
0.07,0.25,0.68 0.152 True (1000 games)
0.09,0.36,0.55 -0.09 True (1000 games)
0.13,0.19,0.67 -0.076 True (1000 games)
0.35,0.45,0.20 -0.568 True (1000 games)
0.38,0.07,0.55 -0.208 True (1000 games)
0.72,0.10,0.17 -0.07 True (1000 games)
0.12,0.64,0.24 -0.154 True (1000 games)
0.03,0.71,0.26 0.22 True (1000 games)
0.09,0.75,0.15 -0.026 True (1000 games)
0.32,0.42,0.27 -0.584 True (1000 games)
0.35,0.37,0.29 -0.602 False (1000 games)
0.43,0.37,0.20 -0.612 False (1000 games)
I found the last two of these after a few runs through. You'll note that the score is close to -0.6 and the opponent's strategy was close to optimal.
Suppose I were obnoxious enough to compare my strategy with some of the other solutions here:
0.40,0.40,0.20 -0.59724 True (100,000 games)
0.40,0.40,0.20 -0.59624 True (100,000 games)
0.40,0.40,0.20 -0.5902 True (100,000 games)
0.33,0.33,0.33 -0.57194 True (100,000 games)
0.33,0.33,0.33 -0.58054 True (100,000 games)
0.33,0.33,0.33 -0.5716 True (100,000 games)
0.42,0.36,0.22 -0.60038 False (100,000 games - Kaine's solution scaled proportionately)
0.36,0.31,0.32 -0.58286 True (100,000 games - Kaine's solution alternative)
0.42,0.36,0.22 -0.5978 True (100,000 games - Kaine's solution scaled, but this time I won phew 2 out of 3?)
0.42,0.36,0.22 -0.59694 True (100000 games - Kaine's solution scaled. Close one!)
Anyone want anything else? Put it in the comments!
Okay, so I will leave this here as a warning against over-simplifying problems!!! I believe Kaine's answer is correct. Using his strategy yields the following:
0.53,0.01,0.26,0.00,0.19 -0.12 True (1000 games)
0.05,0.63,0.23,0.02,0.08 0.01 True (1000 games)
0.08,0.21,0.31,0.36,0.03 -0.128 True (1000 games)
0.01,0.02,0.08,0.09,0.80 0.722 True (1000 games)
0.04,0.08,0.19,0.05,0.65 0.388 True (1000 games)
0.03,0.07,0.04,0.83,0.04 0.562 True (1000 games)
0.13,0.61,0.04,0.13,0.09 -0.21 True (1000 games)
0.02,0.43,0.34,0.09,0.13 0.048 True (1000 games)
0.37,0.01,0.14,0.03,0.45 -0.156 True (1000 games)
0.28,0.18,0.29,0.16,0.10 -0.534 True (1000 games)
0.21,0.07,0.65,0.01,0.05 -0.132 True (1000 games)
0.06,0.56,0.07,0.23,0.08 -0.064 True (1000 games)
0.02,0.12,0.07,0.64,0.15 0.34 True (1000 games)
0.51,0.16,0.03,0.19,0.11 -0.374 True (1000 games)
0.50,0.03,0.31,0.07,0.09 -0.228 True (1000 games)
0.01,0.11,0.52,0.33,0.03 0.354 True (1000 games)
0.09,0.20,0.09,0.25,0.36 -0.184 True (1000 games)
0.03,0.57,0.08,0.22,0.09 0.098 True (1000 games)
0.11,0.38,0.04,0.37,0.09 -0.278 True (1000 games)
0.86,0.04,0.03,0.02,0.05 0.282 True (1000 games)
0.04,0.01,0.01,0.58,0.36 0.604 True (1000 games)
0.00,0.08,0.24,0.46,0.22 0.38 True (1000 games)
0.02,0.24,0.06,0.62,0.06 0.342 True (1000 games)
0.15,0.09,0.62,0.05,0.09 -0.16 True (1000 games)
0.11,0.66,0.02,0.11,0.10 -0.046 True (1000 games)
0.40,0.09,0.05,0.12,0.34 -0.274 True (1000 games)
0.31,0.08,0.25,0.33,0.03 -0.456 True (1000 games)
0.17,0.02,0.06,0.48,0.28 -0.01 True (1000 games)
0.24,0.08,0.05,0.44,0.19 -0.266 True (1000 games)
0.03,0.49,0.26,0.09,0.14 -0.06 True (1000 games)
0.15,0.22,0.57,0.04,0.02 -0.286 True (1000 games)
0.22,0.03,0.40,0.28,0.06 -0.288 True (1000 games)
0.18,0.24,0.22,0.05,0.30 -0.432 True (1000 games)
0.11,0.51,0.27,0.08,0.03 -0.268 True (1000 games)
0.27,0.00,0.32,0.33,0.08 -0.272 True (1000 games)
0.32,0.14,0.14,0.17,0.22 -0.424 True (1000 games)
0.40,0.19,0.04,0.09,0.28 -0.514 True (1000 games)
0.20,0.11,0.06,0.29,0.34 -0.324 True (1000 games)
0.13,0.36,0.27,0.12,0.12 -0.426 True (1000 games)
0.04,0.41,0.24,0.14,0.17 -0.102 True (1000 games)
0.42,0.22,0.03,0.09,0.24 -0.504 True (1000 games)
0.54,0.32,0.00,0.10,0.04 -0.484 True (1000 games)
0.30,0.31,0.08,0.14,0.17 -0.578 True (1000 games)
0.05,0.32,0.19,0.09,0.35 -0.13 True (1000 games)
0.20,0.23,0.25,0.06,0.26 -0.434 True (1000 games)
0.15,0.46,0.02,0.18,0.18 -0.274 True (1000 games)
0.28,0.03,0.35,0.21,0.13 -0.302 True (1000 games)
0.01,0.08,0.28,0.47,0.15 0.308 True (1000 games)
0.14,0.22,0.34,0.08,0.22 -0.356 True (1000 games)
0.12,0.26,0.20,0.24,0.18 -0.314 True (1000 games)
0.362,0.314,0.191,0.097,0.036 -0.5986 True (100000 games)
0.400,0.380,0.220,0.000,0.000 -0.57296 True (100000 games)
Note the strategy essentially draws with itself (second last), and wins against my original strategy.