This is a sample of a 2300+ recent results over 40 games including games against GMs; on of his opponents accused him of cheating, so I had a look at the games. Compare the results and draw your own conclusions.
My advice is do read the instructions provided with pgnspy. You need to have something to compare the data with, preferably an over the board event played under the same conditions to compare with.
UNDECIDED POSITIONS
Positions: 1426
T1: 379/1009; 37.56% (std error 1.52)
T2: 484/822; 58.88% (std error 1.72)
T3: 521/746; 69.84% (std error 1.68)
=0 CP loss: 730/1426; 51.19% (std error 1.32)
>0 CP loss: 696/1426; 48.81% (std error 1.32)
>10 CP loss: 547/1426; 38.36% (std error 1.29)
>25 CP loss: 394/1426; 27.63% (std error 1.18)
>50 CP loss: 228/1426; 15.99% (std error 0.97)
>100 CP loss: 85/1426; 5.96% (std error 0.63)
>200 CP loss: 34/1426; 2.38% (std error 0.40)
>500 CP loss: 10/1426; 0.70% (std error 0.22)
CP loss mean 29.14, std deviation 83.16
LOSING POSITIONS
Positions: 268
T1: 58/161; 36.02% (std error 3.78)
T2: 76/134; 56.72% (std error 4.28)
T3: 75/117; 64.10% (std error 4.43)
=0 CP loss: 134/268; 50.00% (std error 3.05)
>0 CP loss: 134/268; 50.00% (std error 3.05)
>10 CP loss: 113/268; 42.16% (std error 3.02)
>25 CP loss: 96/268; 35.82% (std error 2.93)
>50 CP loss: 71/268; 26.49% (std error 2.70)
>100 CP loss: 43/268; 16.04% (std error 2.24)
>200 CP loss: 22/268; 8.21% (std error 1.68)
>500 CP loss: 9/268; 3.36% (std error 1.10)
CP loss mean 59.85, std deviation 129.91
Ian Thompson wrote: ↑Sat Jul 04, 2020 6:30 pmI have, using pgnspy's default settings for all parameters, and I'm not sure what to make of it. This player scored 8.5/9 in a tournament. Are their results suspicious or not, and why?
Overall results:
pgnspy.png
and broken down by game:
pgnspy2.png