There are two significant sources of error in this experiment: your reaction time (which varies) and the granularity of the measurements.
We can take your reaction times as normally distributed about some nonzero mean. The systematic error is that mean*.
Is there any reason your reaction time distribution for start would differ from that for stop?
If not, what does that imply about the effect of the systematic error on your result?
*Edit:
There will also be a systematic error from the granularity, but it is complicated.
First, is the value read for 20T rounded down or to nearest? If rounded down then there is systematic error of half a measurement grain (plus a random error distributed evenly around that).
Secondly, consider what would happen if there were no other error and the actual value for 20 swings is constant at 10.966, say, and the measured value is to two decimal places, rounded to nearest. The value read would be consistently 10.97, a systematic error of +.004.
However, if we now introduce an error from some other cause of ##\pm 0.1##, smoothly distributed (uniformly, say), when you average over a number of runs the systematic error of +.004 disappears! (I have exploited this.)
So assume until proven otherwise that any systematic error from a rounding to nearest is too small to matter.