Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   32  0.745  0.0116  0.1515  0.4354  0.0519  0.15
Ax 1995   46  0.7059  0.0052  0.0552  0.0555  0.0463  0.04
Bacha 1998   49  0.6839  0.0046  0.0544  0.0563  0.0361  0.04
Barbosa 1983   63  0.5563  0.0053  0.0362  0.0360  0.0465  0.03
BenOr 1989   48  0.6862  0.0021  0.0530  0.1334  0.1031  0.11
Biret 1990   31  0.7434  0.0042  0.0553  0.0541  0.0746  0.06
Brailowsky 1960   30  0.7444  0.0040  0.0734  0.0738  0.0838  0.07
Chiu 1999   28  0.7522  0.0044  0.0642  0.0633  0.1137  0.08
Clidat 1994   41  0.7251  0.0036  0.0637  0.0658  0.0556  0.05
Cohen 1997   43  0.7142  0.0051  0.0455  0.048  0.5420  0.15
Cortot 1951   61  0.5936  0.0056  0.0363  0.0312  0.3832  0.11
Csalog 1996   1  0.861  0.361  0.355  0.682  0.621  0.65
Czerny 1989   53  0.6757  0.0061  0.0545  0.0553  0.0551  0.05
Ezaki 2006   14  0.7941  0.0026  0.0521  0.2443  0.0529  0.11
Falvay 1989   10  0.7911  0.019  0.1510  0.5035  0.0913  0.21
Fiorentino 1962   17  0.7813  0.0123  0.0526  0.2034  0.0823  0.13
Fliere 1977   18  0.7819  0.0020  0.0619  0.3341  0.0621  0.14
Fou 1978   54  0.6653  0.0054  0.0461  0.0461  0.0460  0.04
Francois 1956   39  0.739  0.0141  0.0554  0.0521  0.3028  0.12
Goldenweiser 1946   56  0.6548  0.0048  0.0457  0.0419  0.2733  0.10
Gornostaeva 1994   62  0.5950  0.0057  0.0551  0.0547  0.0558  0.05
Groot 1988   7  0.8324  0.008  0.216  0.6214  0.336  0.45
Hatto 1993   20  0.7735  0.0014  0.179  0.5134  0.0915  0.21
Hatto 1997   26  0.7618  0.0113  0.1111  0.4932  0.1112  0.23
Horszowski 1983   47  0.7040  0.0058  0.0459  0.0442  0.0650  0.05
Indjic 2001   22  0.7710  0.0115  0.2112  0.4837  0.0717  0.18
Katin 1996   25  0.7649  0.0043  0.0640  0.0658  0.0453  0.05
Kiepura 1999   64  0.5446  0.0064  0.0543  0.0546  0.0549  0.05
Korecka 1992   52  0.6766  0.0059  0.0547  0.0535  0.0842  0.06
Kushner 1990   57  0.6358  0.0047  0.0635  0.0657  0.0454  0.05
Lilamand 2001   15  0.7828  0.0011  0.118  0.531  0.683  0.60
Luisada 1990   34  0.7423  0.0038  0.0546  0.0561  0.0462  0.04
Luisada 2008   42  0.7143  0.0045  0.0641  0.0638  0.0644  0.06
Lushtak 2004   29  0.7545  0.0022  0.0620  0.2846  0.0527  0.12
Malcuzynski 1951   59  0.6316  0.0125  0.0532  0.0960  0.0447  0.06
Malcuzynski 1961   50  0.6820  0.0017  0.1816  0.3861  0.0424  0.12
Magaloff 1977   23  0.766  0.0110  0.1023  0.2242  0.0725  0.12
Magin 1975   33  0.7433  0.0032  0.0531  0.1050  0.0540  0.07
Meguri 1997   19  0.7827  0.0028  0.0524  0.2219  0.2511  0.23
Milkina 1970   21  0.7725  0.0031  0.0928  0.1745  0.0536  0.09
Mohovich 1999   11  0.7914  0.0118  0.1617  0.3738  0.0618  0.15
Nezu 2005   44  0.7132  0.0039  0.0636  0.0635  0.0841  0.07
Ohlsson 1999   2  0.862  0.352  0.363  0.698  0.552  0.62
Olejniczak 1990   35  0.7454  0.0029  0.0827  0.1950  0.0535  0.10
Osinska 1989   37  0.7331  0.0027  0.0525  0.2044  0.0630  0.11
Perlemuter 1992   13  0.7926  0.0035  0.0550  0.0510  0.4222  0.14
Poblocka 1999   24  0.7647  0.0024  0.0522  0.2259  0.0534  0.10
Rangell 2001   27  0.7637  0.0037  0.0548  0.0536  0.0745  0.06
Richter 1960   58  0.638  0.0162  0.0638  0.0659  0.0455  0.05
Richter 1961   60  0.6055  0.0063  0.0458  0.0462  0.0459  0.04
Rosen 1989   8  0.804  0.055  0.1914  0.4511  0.437  0.44
Rubinstein 1939   38  0.7330  0.0033  0.0533  0.0945  0.0639  0.07
Rubinstein 1952   45  0.7021  0.0034  0.0639  0.0641  0.0648  0.06
Rubinstein 1966   40  0.7238  0.0050  0.0460  0.0436  0.0843  0.06
Rudanovskaya 2007   9  0.8029  0.0030  0.0629  0.1514  0.519  0.28
Shebanova 2002   16  0.7864  0.0012  0.1113  0.4635  0.0916  0.20
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   6  0.8312  0.017  0.187  0.569  0.595  0.57
Tanyel 1992   12  0.7917  0.0119  0.0918  0.3524  0.288  0.31
Tsujii 2005   3  0.857  0.016  0.212  0.7038  0.0810  0.24
Uninsky 1959   5  0.843  0.063  0.364  0.6810  0.524  0.59
Vardi 1988   51  0.6860  0.0060  0.0549  0.0551  0.0552  0.05
Wasowski 1980   55  0.6556  0.0055  0.0364  0.0360  0.0464  0.03
Zimerman 1975   36  0.7352  0.0049  0.0456  0.0442  0.0657  0.05
Average   4  0.8515  0.014  0.241  0.7247  0.0614  0.21
Random 1   67  -0.1167  0.0067  0.0167  0.0162  0.0267  0.01
Random 2   65  0.0361  0.0065  0.0365  0.033  0.5126  0.12
Random 3   66  -0.0265  0.0066  0.0266  0.0264  0.0366  0.02

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).