Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.6232  0.0058  0.0460  0.0462  0.0364  0.03
Ashkenazy 1981   11  0.7337  0.0020  0.1116  0.4243  0.0621  0.16
Beliavsky 2004   53  0.6243  0.0037  0.0733  0.0751  0.0446  0.05
BenOr 1989   7  0.7520  0.0012  0.1311  0.4545  0.0622  0.16
Biret 1990   14  0.7140  0.0015  0.1118  0.3849  0.0624  0.15
Blet 2003   34  0.6726  0.0034  0.0638  0.0659  0.0447  0.05
Block 1995   48  0.6452  0.0050  0.0549  0.0557  0.0460  0.04
Brailowsky 1960   38  0.6628  0.0027  0.0629  0.1823  0.2715  0.22
Chiu 1999   42  0.6529  0.0044  0.0635  0.0662  0.0443  0.05
Clidat 1994   44  0.6550  0.0047  0.0542  0.0537  0.0649  0.05
Cohen 1997   46  0.6541  0.0053  0.0545  0.0545  0.0551  0.05
Coop 1987   47  0.6559  0.0052  0.0455  0.0462  0.0457  0.04
Cortot 1951   37  0.6657  0.0043  0.0636  0.0658  0.0453  0.05
Czerny 1949   49  0.6460  0.0046  0.0456  0.0450  0.0648  0.05
Czerny 1949b   26  0.6847  0.0030  0.0730  0.1837  0.1029  0.13
Ezaki 2006   27  0.6755  0.0049  0.0453  0.0437  0.0838  0.06
Falvay 1989   41  0.6551  0.0036  0.0637  0.0663  0.0444  0.05
Ferenczy 1958   32  0.6731  0.0029  0.0628  0.1912  0.4610  0.30
Fiorentino 1962   45  0.6561  0.0038  0.0548  0.0563  0.0361  0.04
Fliere 1977   17  0.7035  0.0021  0.1019  0.3249  0.0528  0.13
Fou 1978   21  0.7010  0.0116  0.0913  0.4434  0.1116  0.22
Francois 1956   61  0.5239  0.0062  0.0457  0.0418  0.4627  0.14
Hatto 1997   8  0.7424  0.0011  0.1810  0.4913  0.487  0.48
Horowitz 1971   40  0.6525  0.0042  0.0544  0.0528  0.1837  0.09
Horowitz 1985   60  0.5430  0.0057  0.0458  0.0437  0.0741  0.05
Indjic 2001   4  0.789  0.016  0.186  0.647  0.535  0.58
Kapell 1951   18  0.708  0.0114  0.1115  0.4342  0.0620  0.16
Kiepura 1999   24  0.6913  0.0045  0.0546  0.0541  0.0640  0.05
Kilenyi 1937   57  0.6111  0.0155  0.0551  0.0560  0.0459  0.04
Kissin 1993   28  0.6719  0.0022  0.0824  0.2953  0.0532  0.12
Kitain 1937   63  0.4665  0.0063  0.0639  0.0649  0.0552  0.05
Kushner 1990   59  0.5756  0.0061  0.0361  0.0356  0.0462  0.03
Levy 1951   39  0.6646  0.0031  0.0831  0.1649  0.0536  0.09
Luisada 1990   20  0.7042  0.0032  0.0832  0.1635  0.0835  0.11
Lushtak 2004   33  0.6733  0.0040  0.0547  0.0542  0.0650  0.05
Lympany 1968   36  0.6638  0.0024  0.0726  0.2618  0.2413  0.25
Magaloff 1977   19  0.7014  0.0025  0.0622  0.3044  0.0630  0.13
Magaloff 1977b   22  0.7049  0.0026  0.1123  0.3042  0.0725  0.14
Magin 1975   51  0.6322  0.0059  0.0363  0.0355  0.0556  0.04
Milkina 1970   3  0.822  0.282  0.421  0.802  0.771  0.78
Mohovich 1999   6  0.766  0.025  0.164  0.6712  0.553  0.61
Nadelmann 1956   35  0.6721  0.0017  0.0821  0.3132  0.1418  0.21
Ohlsson 1999   43  0.6564  0.0048  0.0454  0.0456  0.0458  0.04
Olejniczac 1990   31  0.6753  0.0033  0.0734  0.0741  0.0639  0.06
Olejniczak 1991   52  0.6348  0.0054  0.0550  0.0555  0.0645  0.05
Osinska 1989   5  0.775  0.027  0.227  0.6235  0.1112  0.26
Paderewski 1912   25  0.697  0.0113  0.1114  0.4317  0.459  0.44
Perahia 1994   50  0.6417  0.0035  0.0540  0.0511  0.3631  0.13
Perlemuter 1986   58  0.6034  0.0056  0.0541  0.0527  0.2534  0.11
Poblocka 1999   10  0.7327  0.0019  0.1117  0.4052  0.0623  0.15
Rangell 2001   23  0.6912  0.0118  0.0920  0.3252  0.0626  0.14
Risler 1920   62  0.5154  0.0060  0.0362  0.0340  0.0742  0.05
Rosen 1989   12  0.7215  0.008  0.219  0.502  0.684  0.58
Rubinstein 1939   15  0.7018  0.0010  0.128  0.514  0.636  0.57
Rubinstein 1952   1  0.831  0.401  0.403  0.772  0.732  0.75
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rummel 1943   29  0.6736  0.0028  0.0727  0.2022  0.2614  0.23
Shebanova 2002   16  0.7044  0.0023  0.0825  0.2717  0.3311  0.30
Smith 1975   9  0.734  0.034  0.205  0.6619  0.318  0.45
Szpilman 1948   56  0.6145  0.0041  0.0452  0.0449  0.0555  0.04
Uninsky 1971   55  0.6223  0.0051  0.0459  0.0461  0.0363  0.03
Wasowski 1980   30  0.6766  0.0039  0.0543  0.0558  0.0454  0.04
Weissenberg 1971   13  0.7216  0.009  0.1512  0.4548  0.0619  0.16
Average   2  0.823  0.133  0.502  0.7838  0.0617  0.22
Random 1    64  0.0058  0.0064  0.0364  0.0321  0.3733  0.11
Random 2   65  -0.0162  0.0065  0.0265  0.0257  0.0365  0.02
Random 3   66  -0.0463  0.0066  0.0166  0.0151  0.0466  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).