Comment: Let's try a simulation of a million shots and see if it agrees with analytic answers for $d =$ .25, .5, .75, 1.2, and 1.25 (to about 2 places):
m = 10^6; x = runif(m); y = runif(m)
mean(x^2 + y^2 < .25^2)
## 0.049144
mean(x^2 + y^2 < .5^2)
## 0.196488
mean(x^2 + y^2 < .75^2)
## 0.442155
mean(x^2 + y^2 < 1^2)
## 0.785169
mean(x^2 + y^2 < 1.25^2)
## 0.971806
Here is a plot for lots of values of $d$:

Note: If your target is circular and your distribution of shots is
standard uncorrelated bivariate normal, then the distance from the bull's eye
(origin)
has a Rayleigh distribution; see Wikipedia.
Addendum: The plot below shows 50,000 of your random points.
Red region for $d = .75$ (result trivial from geometry
$\pi(.75)^2/4=0.4417865$); red and blue regions together for $d = 1.2$ (analytic result not trivial, see @lulu's Comment). The vertical red line in the upper
plot is the boundary between trivial and nontrivial.