Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.8040  0.0023  0.0625  0.2229  0.2013  0.21
Ashkenazy 1981   26  0.7721  0.0034  0.0539  0.0539  0.0741  0.06
Beliavsky 2004   42  0.7344  0.0032  0.0632  0.1232  0.1225  0.12
BenOr 1989   20  0.7924  0.0019  0.0713  0.3853  0.0521  0.14
Biret 1990   10  0.8113  0.017  0.1810  0.498  0.534  0.51
Blet 2003   34  0.7536  0.0028  0.0730  0.1755  0.0435  0.08
Block 1995   61  0.6449  0.0063  0.0634  0.0640  0.0740  0.06
Brailowsky 1960   15  0.8028  0.0026  0.0727  0.2027  0.1916  0.19
Chiu 1999   62  0.6333  0.0036  0.0445  0.0447  0.0643  0.05
Clidat 1994   36  0.7418  0.0020  0.0622  0.2556  0.0532  0.11
Cohen 1997   59  0.6714  0.0140  0.0453  0.0414  0.3727  0.12
Coop 1987   53  0.7120  0.0043  0.0459  0.0454  0.0557  0.04
Cortot 1951   43  0.7222  0.0060  0.0361  0.0348  0.0565  0.04
Czerny 1949   49  0.7151  0.0050  0.0538  0.0557  0.0462  0.04
Czerny 1949b   38  0.7448  0.0049  0.0541  0.0548  0.0545  0.05
Ezaki 2006   54  0.7143  0.0055  0.0362  0.0347  0.0742  0.05
Falvay 1989   56  0.6947  0.0062  0.0635  0.0655  0.0544  0.05
Ferenczy 1958   47  0.7245  0.0052  0.0448  0.0459  0.0460  0.04
Fiorentino 1962   32  0.7517  0.0030  0.0628  0.1847  0.0633  0.10
Fliere 1977   11  0.8132  0.0014  0.1415  0.3553  0.0522  0.13
Fou 1978   27  0.7711  0.0121  0.0619  0.2858  0.0524  0.12
Francois 1956   50  0.7123  0.0051  0.0455  0.0443  0.0651  0.05
Hatto 1997   13  0.8054  0.0044  0.0363  0.0349  0.0559  0.04
Horowitz 1971   9  0.8135  0.0012  0.1812  0.3814  0.419  0.39
Horowitz 1985   22  0.7860  0.0018  0.0623  0.246  0.6010  0.38
Indjic 2001   12  0.8055  0.0045  0.0536  0.0548  0.0550  0.05
Kapell 1951   37  0.7442  0.0046  0.0444  0.0457  0.0556  0.04
Kiepura 1999   31  0.7552  0.0035  0.0542  0.0533  0.0936  0.07
Kilenyi 1937   55  0.6946  0.0057  0.0454  0.0460  0.0461  0.04
Kissin 1993   18  0.798  0.0213  0.209  0.5249  0.0617  0.18
Kitain 1937   63  0.4715  0.0161  0.0446  0.043  0.5819  0.15
Kushner 1990   6  0.833  0.144  0.227  0.6211  0.395  0.49
Levy 1951   44  0.7238  0.0033  0.0537  0.0525  0.2329  0.11
Luisada 1990   21  0.787  0.0317  0.0818  0.2948  0.0526  0.12
Lushtak 2004   19  0.7926  0.0016  0.1011  0.4245  0.0618  0.16
Lympany 1968   24  0.7739  0.0025  0.0621  0.2643  0.0528  0.11
Magaloff 1977   29  0.7750  0.0048  0.0633  0.0654  0.0547  0.05
Magaloff 1977b   28  0.7730  0.0047  0.0451  0.0453  0.0563  0.04
Magin 1975   41  0.7361  0.0056  0.0458  0.0456  0.0554  0.04
Milkina 1970   1  0.906  0.045  0.275  0.673  0.623  0.64
Mohovich 1999   14  0.809  0.029  0.296  0.6216  0.386  0.49
Nadelmann 1956   7  0.8263  0.0010  0.1914  0.3819  0.3212  0.35
Ohlsson 1999   52  0.7127  0.0038  0.0443  0.0438  0.0646  0.05
Olejniczac 1990   33  0.7529  0.0031  0.0729  0.1851  0.0534  0.09
Olejniczak 1991   23  0.7859  0.0027  0.0824  0.2349  0.0530  0.11
Osinska 1989   4  0.874  0.063  0.224  0.7219  0.287  0.45
Paderewski 1912   46  0.7253  0.0042  0.0540  0.0551  0.0548  0.05
Perahia 1994   45  0.7212  0.0111  0.1516  0.346  0.568  0.44
Perlemuter 1986   39  0.7410  0.0215  0.1117  0.3142  0.0620  0.14
Poblocka 1999   40  0.7441  0.0054  0.0450  0.0457  0.0452  0.04
Rangell 2001   48  0.7256  0.0037  0.0452  0.0456  0.0464  0.04
Risler 1920   60  0.6616  0.0058  0.0364  0.0351  0.0553  0.04
Rosen 1989   35  0.7437  0.0041  0.0449  0.0441  0.0649  0.05
Rubinstein 1939   2  0.881  0.371  0.363  0.731  0.881  0.80
Rubinstein 1952   3  0.872  0.182  0.222  0.742  0.712  0.72
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rummel 1943   57  0.6862  0.0053  0.0447  0.0431  0.1439  0.07
Shebanova 2002   16  0.8034  0.0024  0.0626  0.2143  0.0631  0.11
Smith 1975   8  0.8257  0.008  0.208  0.5624  0.2511  0.37
Szpilman 1948   30  0.7625  0.0022  0.0620  0.2849  0.0523  0.12
Uninsky 1971   51  0.7131  0.0039  0.0456  0.0452  0.0558  0.04
Wasowski 1980   25  0.7719  0.0029  0.0631  0.1215  0.3514  0.20
Weissenberg 1971   58  0.6758  0.0059  0.0460  0.0449  0.0555  0.04
Average   5  0.855  0.046  0.251  0.8152  0.0515  0.20
Random 1    65  -0.0664  0.0065  0.0265  0.0220  0.2337  0.07
Random 2   64  0.1065  0.0064  0.0457  0.0427  0.1338  0.07
Random 3   66  -0.1066  0.0066  0.0166  0.0150  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).