Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.1844  0.0062  0.0461  0.0463  0.0458  0.04
Ashkenazy 1981   49  0.3359  0.0051  0.0557  0.0553  0.0555  0.05
Beliavsky 2004   63  0.1255  0.0060  0.0363  0.0363  0.0364  0.03
BenOr 1989   5  0.5822  0.005  0.203  0.7610  0.664  0.71
Biret 1990   33  0.4326  0.0031  0.1030  0.2014  0.3729  0.27
Blet 2003   19  0.4816  0.0013  0.1914  0.619  0.6611  0.63
Block 1995   23  0.4620  0.0020  0.1320  0.487  0.5722  0.52
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   54  0.3139  0.0054  0.0843  0.0854  0.0448  0.06
Clidat 1994   35  0.4224  0.0035  0.0939  0.0915  0.3536  0.18
Cohen 1997   62  0.1845  0.0061  0.0462  0.0453  0.0460  0.04
Coop 1987   36  0.4137  0.0027  0.0931  0.1833  0.1339  0.15
Cortot 1951   60  0.207  0.0163  0.0459  0.0451  0.0562  0.04
Czerny 1949   13  0.5031  0.0018  0.1616  0.5811  0.5917  0.58
Czerny 1949b   27  0.4554  0.0026  0.0925  0.3210  0.6225  0.45
Ezaki 2006   18  0.4929  0.0014  0.1915  0.5913  0.6114  0.60
Falvay 1989   22  0.4636  0.0025  0.1523  0.4510  0.5823  0.51
Ferenczy 1958   9  0.546  0.063  0.234  0.724  0.732  0.72
Fiorentino 1962   20  0.4753  0.0023  0.1619  0.5012  0.6218  0.56
Fliere 1977   45  0.3647  0.0043  0.0940  0.0931  0.1642  0.12
Fou 1978   8  0.5414  0.0011  0.1512  0.6212  0.6312  0.62
Francois 1956   40  0.3948  0.0042  0.0750  0.0720  0.3638  0.16
Hatto 1997   56  0.2662  0.0056  0.0655  0.0655  0.0453  0.05
Horowitz 1971   12  0.5019  0.0019  0.1622  0.466  0.6021  0.53
Horowitz 1985   30  0.449  0.0117  0.1424  0.4310  0.4824  0.45
Indjic 2001   58  0.2564  0.0057  0.0556  0.0559  0.0359  0.04
Kapell 1951   31  0.4325  0.0030  0.0927  0.2813  0.5227  0.38
Kiepura 1999   14  0.5011  0.0116  0.1513  0.628  0.6113  0.61
Kilenyi 1937   10  0.5315  0.0012  0.1710  0.662  0.773  0.71
Kissin 1993   57  0.2533  0.0058  0.0558  0.0557  0.0457  0.04
Kitain 1937   59  0.2242  0.0059  0.0654  0.0646  0.0556  0.05
Kushner 1990   32  0.4332  0.0029  0.0728  0.2628  0.2731  0.26
Levy 1951   21  0.4751  0.0022  0.1118  0.532  0.6715  0.60
Luisada 1990   17  0.4913  0.0024  0.1226  0.308  0.6226  0.43
Lushtak 2004   52  0.3265  0.0053  0.0846  0.0852  0.0551  0.06
Lympany 1968   42  0.3827  0.0045  0.0845  0.0824  0.3237  0.16
Magaloff 1977   44  0.3840  0.0041  0.1036  0.1010  0.4234  0.20
Magaloff 1977b   48  0.3441  0.0047  0.0653  0.0618  0.3041  0.13
Magin 1975   3  0.595  0.077  0.215  0.725  0.685  0.70
Milkina 1970   51  0.3266  0.0048  0.0847  0.0862  0.0449  0.06
Mohovich 1999   47  0.3435  0.0046  0.0749  0.0727  0.2940  0.14
Nadelmann 1956   2  0.624  0.072  0.282  0.792  0.701  0.74
Ohlsson 1999   43  0.3843  0.0044  0.1034  0.1051  0.0546  0.07
Olejniczac 1990   15  0.5023  0.0015  0.189  0.669  0.717  0.68
Olejniczak 1991   28  0.4552  0.0033  0.1632  0.1616  0.4130  0.26
Osinska 1989   4  0.5812  0.006  0.217  0.7010  0.648  0.67
Paderewski 1912   53  0.3246  0.0052  0.0751  0.0748  0.0454  0.05
Perahia 1994   41  0.3963  0.0040  0.0844  0.0843  0.0747  0.07
Perlemuter 1986   26  0.4528  0.0037  0.1038  0.1035  0.0745  0.08
Poblocka 1999   6  0.553  0.108  0.2011  0.637  0.659  0.64
Rangell 2001   55  0.2950  0.0055  0.0460  0.0451  0.0561  0.04
Risler 1920   38  0.4138  0.0036  0.0848  0.086  0.5633  0.21
Rosen 1989   7  0.552  0.194  0.348  0.702  0.716  0.70
Rubinstein 1939   46  0.3530  0.0050  0.0752  0.0763  0.0352  0.05
Rubinstein 1952   16  0.508  0.019  0.1517  0.5610  0.5719  0.56
Rubinstein 1966   11  0.5361  0.0010  0.186  0.7110  0.5810  0.64
Rummel 1943   24  0.4610  0.0128  0.0833  0.138  0.4932  0.25
Shebanova 2002   34  0.4317  0.0032  0.1329  0.2525  0.3028  0.27
Smith 1975   29  0.4449  0.0038  0.1037  0.1031  0.1243  0.11
Szpilman 1948   25  0.4618  0.0021  0.1121  0.469  0.6420  0.54
Uninsky 1971   50  0.3356  0.0049  0.0842  0.0849  0.0550  0.06
Wasowski 1980   39  0.4034  0.0034  0.1035  0.1033  0.1144  0.10
Weissenberg 1971   37  0.4157  0.0039  0.0941  0.0919  0.3535  0.18
Average   1  0.671  0.401  0.401  0.8915  0.3916  0.59
Random 1    64  -0.0160  0.0064  0.0264  0.0239  0.0463  0.03
Random 2   65  -0.0158  0.0066  0.0166  0.0156  0.0366  0.02
Random 3   66  -0.0221  0.0065  0.0265  0.0242  0.0665  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).