Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7321  0.0021  0.1015  0.3631  0.1611  0.24
Ashkenazy 1981   27  0.6916  0.0042  0.0642  0.0640  0.0741  0.06
Beliavsky 2004   29  0.6928  0.0019  0.1023  0.2644  0.0522  0.11
BenOr 1989   22  0.7039  0.0033  0.0837  0.0853  0.0542  0.06
Biret 1990   13  0.764  0.027  0.169  0.5017  0.304  0.39
Blet 2003   41  0.6743  0.0026  0.0827  0.1962  0.0428  0.09
Block 1995   59  0.5524  0.0059  0.0363  0.0349  0.0659  0.04
Brailowsky 1960   12  0.7646  0.0013  0.1114  0.3642  0.0614  0.15
Chiu 1999   62  0.5012  0.0162  0.0644  0.0649  0.0544  0.05
Clidat 1994   24  0.7011  0.0125  0.0722  0.2660  0.0524  0.11
Cohen 1997   56  0.5620  0.0044  0.0638  0.0617  0.3120  0.14
Coop 1987   55  0.5838  0.0056  0.0646  0.0655  0.0450  0.05
Cortot 1951   48  0.6158  0.0048  0.0640  0.0652  0.0456  0.05
Czerny 1949   23  0.7027  0.0024  0.0629  0.1655  0.0530  0.09
Czerny 1949b   26  0.6915  0.0039  0.0551  0.0546  0.0548  0.05
Ezaki 2006   52  0.5930  0.0051  0.0454  0.0453  0.0557  0.04
Falvay 1989   61  0.5351  0.0061  0.0457  0.0451  0.0645  0.05
Ferenczy 1958   53  0.5864  0.0037  0.0550  0.0547  0.0551  0.05
Fiorentino 1962   36  0.6747  0.0041  0.0639  0.0660  0.0455  0.05
Fliere 1977   14  0.7418  0.0017  0.0916  0.3543  0.0617  0.14
Fou 1978   42  0.669  0.0138  0.0835  0.0854  0.0537  0.06
Francois 1956   20  0.7149  0.0020  0.1120  0.3055  0.0426  0.11
Hatto 1997   34  0.6853  0.0028  0.0726  0.1962  0.0429  0.09
Horowitz 1971   10  0.7723  0.0012  0.228  0.5027  0.207  0.32
Horowitz 1985   6  0.7926  0.0011  0.1811  0.464  0.613  0.53
Indjic 2001   33  0.6834  0.0027  0.0625  0.1960  0.0432  0.09
Kapell 1951   49  0.6025  0.0055  0.0552  0.0553  0.0549  0.05
Kiepura 1999   32  0.6817  0.0043  0.0643  0.0641  0.0635  0.06
Kilenyi 1937   50  0.5963  0.0054  0.0360  0.0357  0.0463  0.03
Kissin 1993   37  0.678  0.0115  0.1013  0.3953  0.0519  0.14
Kitain 1937   57  0.5619  0.0035  0.0648  0.0616  0.3915  0.15
Kushner 1990   5  0.8022  0.006  0.246  0.5743  0.0513  0.17
Levy 1951   44  0.6544  0.0045  0.0836  0.0844  0.0436  0.06
Luisada 1990   25  0.7035  0.0031  0.0531  0.1361  0.0339  0.06
Lushtak 2004   31  0.6831  0.0029  0.0824  0.2042  0.0625  0.11
Lympany 1968   18  0.7110  0.0122  0.0918  0.3338  0.0616  0.14
Magaloff 1977   40  0.6757  0.0047  0.0933  0.0957  0.0438  0.06
Magaloff 1977b   39  0.6736  0.0046  0.0934  0.0959  0.0440  0.06
Magin 1975   47  0.6250  0.0052  0.0553  0.0557  0.0547  0.05
Milkina 1970   2  0.812  0.033  0.274  0.6120  0.235  0.37
Mohovich 1999   7  0.7932  0.005  0.203  0.6333  0.1010  0.25
Nadelmann 1956   8  0.7913  0.009  0.1312  0.4522  0.276  0.35
Ohlsson 1999   58  0.5541  0.0058  0.0361  0.0362  0.0462  0.03
Olejniczac 1990   35  0.6833  0.0040  0.0645  0.0661  0.0452  0.05
Olejniczak 1991   30  0.6840  0.0036  0.0549  0.0556  0.0546  0.05
Osinska 1989   4  0.8014  0.004  0.202  0.6739  0.0812  0.23
Paderewski 1912   28  0.6956  0.0034  0.0647  0.0657  0.0453  0.05
Perahia 1994   11  0.763  0.022  0.195  0.594  0.592  0.59
Perlemuter 1986   16  0.737  0.0118  0.1017  0.3448  0.0521  0.13
Poblocka 1999   45  0.6237  0.0053  0.0458  0.0451  0.0643  0.05
Rangell 2001   54  0.5842  0.0057  0.0455  0.0449  0.0560  0.04
Risler 1920   51  0.5945  0.0050  0.0456  0.0461  0.0458  0.04
Rosen 1989   46  0.6255  0.0049  0.0641  0.0657  0.0454  0.05
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   3  0.816  0.028  0.157  0.5631  0.148  0.28
Rubinstein 1966   1  0.881  0.771  0.761  0.882  0.731  0.80
Rummel 1943   38  0.6748  0.0032  0.0730  0.1335  0.0631  0.09
Shebanova 2002   21  0.705  0.0216  0.1021  0.3056  0.0423  0.11
Smith 1975   9  0.7854  0.0010  0.1210  0.4959  0.0418  0.14
Szpilman 1948   17  0.7252  0.0023  0.0628  0.1744  0.0527  0.09
Uninsky 1971   43  0.6661  0.0030  0.0632  0.1244  0.0633  0.08
Wasowski 1980   19  0.7129  0.0014  0.0919  0.3322  0.219  0.26
Weissenberg 1971   60  0.5459  0.0060  0.0362  0.0362  0.0361  0.03
Random 1    64  -0.1060  0.0064  0.0264  0.0216  0.2634  0.07
Random 2   63  0.0562  0.0063  0.0459  0.0452  0.0364  0.03
Random 3   65  -0.1165  0.0065  0.0265  0.0239  0.0465  0.03

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).