Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.5354  0.0049  0.0460  0.0462  0.0461  0.04
Ashkenazy 1981   23  0.6229  0.0029  0.0730  0.2052  0.0632  0.11
Beliavsky 2004   49  0.5652  0.0048  0.0547  0.0550  0.0549  0.05
BenOr 1989   2  0.6712  0.019  0.1210  0.4644  0.0712  0.18
Biret 1990   45  0.5734  0.0042  0.0736  0.0761  0.0547  0.06
Blet 2003   39  0.5920  0.0014  0.0916  0.3442  0.0715  0.15
Block 1995   43  0.586  0.0115  0.0823  0.2749  0.0621  0.13
Brailowsky 1960   6  0.653  0.035  0.154  0.5810  0.561  0.57
Chiu 1999   56  0.5549  0.0045  0.0450  0.0457  0.0456  0.04
Clidat 1994   20  0.6328  0.008  0.129  0.4733  0.0810  0.19
Cohen 1997   63  0.4259  0.0063  0.0644  0.0638  0.0645  0.06
Coop 1987   42  0.5862  0.0037  0.0638  0.0663  0.0450  0.05
Cortot 1951   53  0.5640  0.0051  0.0456  0.0445  0.0653  0.05
Czerny 1949   13  0.6448  0.0032  0.1032  0.1951  0.0631  0.11
Czerny 1949b   5  0.6521  0.0031  0.0828  0.2156  0.0629  0.11
Ezaki 2006   44  0.5766  0.0059  0.0546  0.0562  0.0454  0.04
Falvay 1989   50  0.5665  0.0050  0.0459  0.0463  0.0457  0.04
Ferenczy 1958   60  0.5258  0.0052  0.0361  0.0357  0.0560  0.04
Fiorentino 1962   32  0.6126  0.0036  0.0642  0.0644  0.0746  0.06
Fliere 1977   12  0.6414  0.0120  0.0714  0.3663  0.0423  0.12
Fou 1978   11  0.6518  0.004  0.148  0.4850  0.0613  0.17
Francois 1956   40  0.5927  0.0057  0.0548  0.0524  0.2726  0.12
Hatto 1997   55  0.5556  0.0046  0.0449  0.0459  0.0559  0.04
Horowitz 1971   9  0.652  0.073  0.165  0.5015  0.452  0.47
Horowitz 1985   52  0.5631  0.0055  0.0455  0.0425  0.2633  0.10
Indjic 2001   48  0.5741  0.0041  0.0641  0.0650  0.0644  0.06
Kapell 1951   35  0.6033  0.0022  0.0822  0.2755  0.0524  0.12
Kiepura 1999   31  0.619  0.0156  0.0454  0.0461  0.0455  0.04
Kilenyi 1937   4  0.6610  0.0111  0.146  0.4946  0.079  0.19
Kissin 1993   27  0.6215  0.0110  0.1112  0.3951  0.0614  0.15
Kitain 1937   62  0.494  0.0244  0.0453  0.048  0.5316  0.15
Kushner 1990   41  0.5863  0.0047  0.0452  0.0459  0.0458  0.04
Levy 1951   38  0.597  0.0113  0.0915  0.3429  0.148  0.22
Luisada 1990   19  0.6311  0.0139  0.0643  0.0654  0.0643  0.06
Lushtak 2004   51  0.5661  0.0058  0.0451  0.0464  0.0364  0.03
Lympany 1968   29  0.6232  0.0021  0.0813  0.3731  0.137  0.22
Magaloff 1977   21  0.6346  0.0025  0.1020  0.3047  0.0718  0.14
Magaloff 1977b   24  0.6243  0.0027  0.0727  0.2444  0.0722  0.13
Magin 1975   25  0.625  0.0240  0.0737  0.0756  0.0541  0.06
Milkina 1970   22  0.6223  0.0023  0.0618  0.3148  0.0617  0.14
Mohovich 1999   15  0.6435  0.0018  0.0726  0.2560  0.0435  0.10
Nadelmann 1956   7  0.6517  0.002  0.212  0.6528  0.213  0.37
Ohlsson 1999   54  0.5542  0.0053  0.0363  0.0361  0.0363  0.03
Olejniczac 1990   28  0.6230  0.0033  0.1033  0.1059  0.0442  0.06
Olejniczak 1991   37  0.6044  0.0043  0.0735  0.0758  0.0540  0.06
Osinska 1989   18  0.6360  0.0030  0.0829  0.2161  0.0436  0.09
Paderewski 1912   8  0.658  0.016  0.163  0.5830  0.184  0.32
Perahia 1994   46  0.5739  0.0054  0.0362  0.0329  0.1838  0.07
Perlemuter 1986   26  0.6213  0.0138  0.0639  0.0658  0.0451  0.05
Poblocka 1999   14  0.6419  0.0024  0.0724  0.2658  0.0527  0.11
Rangell 2001   34  0.6057  0.0017  0.1019  0.3046  0.0719  0.14
Risler 1920   61  0.5236  0.0060  0.0457  0.0449  0.0648  0.05
Rosen 1989   58  0.5364  0.0062  0.0545  0.0558  0.0462  0.04
Rubinstein 1939   36  0.6024  0.0016  0.0821  0.2926  0.295  0.29
Rubinstein 1952   3  0.6645  0.0012  0.147  0.4857  0.0420  0.14
Rubinstein 1966   30  0.6116  0.0126  0.0925  0.2561  0.0434  0.10
Rummel 1943   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   57  0.5355  0.0061  0.0458  0.0448  0.0752  0.05
Smith 1975   17  0.6325  0.0019  0.0717  0.3162  0.0428  0.11
Szpilman 1948   33  0.6138  0.0034  0.0934  0.0947  0.0637  0.07
Uninsky 1971   10  0.6522  0.007  0.1111  0.4633  0.0711  0.18
Wasowski 1980   16  0.6437  0.0035  0.0640  0.0645  0.0639  0.06
Weissenberg 1971   47  0.5751  0.0028  0.0931  0.1953  0.0630  0.11
Average   1  0.741  0.681  0.671  0.8049  0.076  0.24
Random 1    66  -0.0753  0.0066  0.0166  0.0166  0.0166  0.01
Random 2   64  -0.0147  0.0064  0.0365  0.0361  0.0265  0.02
Random 3   65  -0.0250  0.0065  0.0364  0.0310  0.4625  0.12

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).