Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.6230  0.0057  0.0459  0.0461  0.0363  0.03
Ashkenazy 1981   10  0.7336  0.0019  0.1115  0.4242  0.0718  0.17
Beliavsky 2004   52  0.6240  0.0036  0.0733  0.0750  0.0445  0.05
BenOr 1989   6  0.7520  0.0011  0.1310  0.4644  0.0619  0.17
Biret 1990   13  0.7142  0.0014  0.1117  0.3848  0.0624  0.15
Blet 2003   33  0.6725  0.0033  0.0637  0.0658  0.0446  0.05
Block 1995   47  0.6452  0.0049  0.0548  0.0556  0.0459  0.04
Brailowsky 1960   37  0.6629  0.0026  0.0628  0.1822  0.2816  0.22
Chiu 1999   41  0.6532  0.0043  0.0634  0.0661  0.0442  0.05
Clidat 1994   43  0.6550  0.0046  0.0541  0.0536  0.0648  0.05
Cohen 1997   45  0.6544  0.0052  0.0544  0.0544  0.0550  0.05
Coop 1987   46  0.6559  0.0051  0.0454  0.0461  0.0456  0.04
Cortot 1951   36  0.6656  0.0042  0.0635  0.0657  0.0452  0.05
Czerny 1949   48  0.6460  0.0045  0.0455  0.0449  0.0647  0.05
Czerny 1949b   25  0.6848  0.0029  0.0729  0.1836  0.1029  0.13
Ezaki 2006   26  0.6755  0.0048  0.0452  0.0437  0.0838  0.06
Falvay 1989   40  0.6551  0.0035  0.0636  0.0662  0.0443  0.05
Ferenczy 1958   31  0.6733  0.0028  0.0727  0.1910  0.4811  0.30
Fiorentino 1962   44  0.6562  0.0037  0.0547  0.0562  0.0360  0.04
Fliere 1977   16  0.7024  0.0020  0.1018  0.3348  0.0528  0.13
Fou 1978   20  0.708  0.0115  0.1012  0.4434  0.1117  0.22
Francois 1956   60  0.5241  0.0061  0.0456  0.0417  0.4727  0.14
Hatto 1997   7  0.7427  0.0010  0.189  0.4912  0.507  0.49
Horowitz 1971   39  0.6526  0.0041  0.0543  0.0525  0.2035  0.10
Horowitz 1985   59  0.5431  0.0056  0.0457  0.0437  0.0740  0.05
Indjic 2001   3  0.789  0.015  0.185  0.646  0.574  0.60
Kapell 1951   17  0.705  0.0213  0.1114  0.4341  0.0621  0.16
Kiepura 1999   23  0.6912  0.0044  0.0545  0.0540  0.0639  0.05
Kilenyi 1937   56  0.6111  0.0154  0.0550  0.0559  0.0458  0.04
Kissin 1993   27  0.6716  0.0021  0.0923  0.2952  0.0531  0.12
Kitain 1937   62  0.4664  0.0062  0.0638  0.0648  0.0551  0.05
Kushner 1990   58  0.5753  0.0060  0.0360  0.0355  0.0461  0.03
Levy 1951   38  0.6637  0.0030  0.0831  0.1648  0.0536  0.09
Luisada 1990   19  0.7045  0.0031  0.0830  0.1735  0.0832  0.12
Lushtak 2004   32  0.6735  0.0039  0.0546  0.0541  0.0649  0.05
Lympany 1968   35  0.6639  0.0023  0.0725  0.2717  0.2913  0.28
Magaloff 1977   18  0.7014  0.0024  0.0721  0.3043  0.0630  0.13
Magaloff 1977b   21  0.7049  0.0025  0.1222  0.3042  0.0725  0.14
Magin 1975   50  0.6319  0.0058  0.0362  0.0354  0.0555  0.04
Milkina 1970   2  0.822  0.292  0.561  0.801  0.771  0.78
Mohovich 1999   5  0.764  0.034  0.163  0.6710  0.563  0.61
Nadelmann 1956   34  0.6721  0.0016  0.0820  0.3229  0.1814  0.24
Ohlsson 1999   42  0.6557  0.0047  0.0453  0.0455  0.0457  0.04
Olejniczac 1990   30  0.6734  0.0032  0.0732  0.1340  0.0637  0.09
Olejniczak 1991   51  0.6346  0.0053  0.0549  0.0554  0.0644  0.05
Osinska 1989   4  0.777  0.026  0.226  0.6230  0.2210  0.37
Paderewski 1912   24  0.696  0.0212  0.1213  0.4416  0.469  0.45
Perahia 1994   49  0.6417  0.0034  0.0639  0.0610  0.3623  0.15
Perlemuter 1986   57  0.6028  0.0055  0.0540  0.0526  0.2634  0.11
Poblocka 1999   9  0.7323  0.0018  0.1116  0.4051  0.0622  0.15
Rangell 2001   22  0.6910  0.0117  0.0919  0.3351  0.0626  0.14
Risler 1920   61  0.5154  0.0059  0.0361  0.0340  0.0741  0.05
Rosen 1989   11  0.7215  0.007  0.218  0.501  0.686  0.58
Rubinstein 1939   14  0.7018  0.009  0.127  0.523  0.645  0.58
Rubinstein 1952   1  0.831  0.451  0.452  0.771  0.732  0.75
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rummel 1943   28  0.6738  0.0027  0.0726  0.2122  0.2715  0.24
Shebanova 2002   15  0.7043  0.0022  0.0824  0.2816  0.3312  0.30
Smith 1975   8  0.733  0.063  0.214  0.6617  0.358  0.48
Szpilman 1948   55  0.6147  0.0040  0.0451  0.0448  0.0554  0.04
Uninsky 1971   54  0.6222  0.0050  0.0458  0.0460  0.0362  0.03
Wasowski 1980   29  0.6765  0.0038  0.0542  0.0557  0.0453  0.04
Weissenberg 1971   12  0.7213  0.008  0.1611  0.4547  0.0620  0.16
Random 1    63  0.0058  0.0063  0.0363  0.0321  0.3733  0.11
Random 2   64  -0.0161  0.0064  0.0264  0.0256  0.0365  0.02
Random 3   65  -0.0463  0.0065  0.0265  0.0251  0.0464  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).