Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.7746  0.0041  0.0446  0.0439  0.0753  0.05
Ashkenazy 1981   11  0.849  0.0219  0.1023  0.2726  0.2018  0.23
Beliavsky 2004   53  0.7449  0.0059  0.0362  0.0348  0.0465  0.03
BenOr 1989   17  0.8360  0.0021  0.0619  0.3237  0.0825  0.16
Biret 1990   22  0.8211  0.0213  0.1011  0.427  0.553  0.48
Blet 2003   31  0.8023  0.0017  0.1217  0.3422  0.1715  0.24
Block 1995   56  0.7219  0.0060  0.0451  0.0451  0.0654  0.05
Brailowsky 1960   39  0.7912  0.0128  0.0629  0.1616  0.4014  0.25
Chiu 1999   57  0.7244  0.0057  0.0361  0.0348  0.0558  0.04
Clidat 1994   23  0.8229  0.0020  0.0722  0.3052  0.0532  0.12
Cohen 1997   62  0.6120  0.0038  0.0538  0.059  0.5023  0.16
Coop 1987   28  0.8115  0.0118  0.1314  0.3640  0.0821  0.17
Cortot 1951   54  0.7359  0.0050  0.0455  0.0418  0.3135  0.11
Czerny 1949   37  0.7951  0.0030  0.0732  0.1340  0.0641  0.09
Czerny 1949b   34  0.8054  0.0039  0.0543  0.0539  0.0742  0.06
Ezaki 2006   24  0.8116  0.0131  0.0727  0.1832  0.1029  0.13
Falvay 1989   45  0.7640  0.0049  0.0458  0.0457  0.0559  0.04
Ferenczy 1958   60  0.7041  0.0033  0.0633  0.0647  0.0551  0.05
Fiorentino 1962   14  0.8463  0.0024  0.0920  0.3137  0.0824  0.16
Fliere 1977   12  0.8435  0.0027  0.0626  0.1856  0.0538  0.09
Fou 1978   8  0.8514  0.018  0.137  0.4728  0.2010  0.31
Francois 1956   46  0.7638  0.0047  0.0452  0.0441  0.0655  0.05
Hatto 1997   59  0.7265  0.0052  0.0456  0.0451  0.0560  0.04
Horowitz 1971   18  0.836  0.0215  0.0918  0.3210  0.467  0.38
Horowitz 1985   55  0.7348  0.0062  0.0536  0.0518  0.4028  0.14
Indjic 2001   58  0.7253  0.0051  0.0454  0.0453  0.0562  0.04
Kapell 1951   26  0.8150  0.0022  0.0924  0.2547  0.0631  0.12
Kiepura 1999   40  0.7847  0.0055  0.0459  0.0446  0.0556  0.04
Kilenyi 1937   30  0.8032  0.0032  0.0730  0.1450  0.0640  0.09
Kissin 1993   7  0.858  0.024  0.205  0.5731  0.1413  0.28
Kitain 1937   63  0.5825  0.0063  0.0535  0.0510  0.4427  0.15
Kushner 1990   4  0.8718  0.006  0.234  0.5815  0.326  0.43
Levy 1951   50  0.7562  0.0037  0.0542  0.0526  0.1936  0.10
Luisada 1990   19  0.8355  0.0025  0.0825  0.2445  0.0633  0.12
Lushtak 2004   9  0.8528  0.0010  0.1010  0.4238  0.0820  0.18
Lympany 1968   21  0.824  0.067  0.158  0.4611  0.445  0.45
Magaloff 1977   36  0.7943  0.0053  0.0457  0.0445  0.0652  0.05
Magaloff 1977b   38  0.7936  0.0054  0.0363  0.0352  0.0563  0.04
Magin 1975   41  0.7839  0.0048  0.0448  0.0439  0.0749  0.05
Milkina 1970   16  0.8310  0.0216  0.1216  0.3416  0.398  0.36
Mohovich 1999   6  0.8513  0.015  0.246  0.567  0.482  0.52
Nadelmann 1956   32  0.8057  0.0034  0.0534  0.0523  0.2634  0.11
Ohlsson 1999   49  0.7522  0.0043  0.0450  0.0432  0.1044  0.06
Olejniczac 1990   13  0.8437  0.0023  0.0915  0.3535  0.0822  0.17
Olejniczak 1991   10  0.8421  0.0014  0.129  0.4236  0.1019  0.20
Osinska 1989   2  0.882  0.242  0.363  0.6816  0.334  0.47
Paderewski 1912   35  0.8034  0.0036  0.0539  0.0534  0.0845  0.06
Perahia 1994   61  0.6426  0.0058  0.0364  0.0316  0.3237  0.10
Perlemuter 1986   20  0.8361  0.0012  0.1313  0.3830  0.1417  0.23
Poblocka 1999   29  0.8042  0.0035  0.0541  0.0550  0.0648  0.05
Rangell 2001   42  0.7858  0.0044  0.0453  0.0453  0.0564  0.04
Risler 1920   47  0.7645  0.0056  0.0460  0.0458  0.0557  0.04
Rosen 1989   15  0.847  0.0211  0.0921  0.3119  0.3011  0.30
Rubinstein 1939   27  0.815  0.0226  0.0631  0.148  0.5612  0.28
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   3  0.873  0.203  0.272  0.712  0.741  0.72
Rummel 1943   43  0.7731  0.0040  0.0537  0.058  0.4426  0.15
Shebanova 2002   33  0.8017  0.0146  0.0544  0.0558  0.0461  0.04
Smith 1975   5  0.8633  0.009  0.1412  0.3921  0.299  0.34
Szpilman 1948   25  0.8127  0.0029  0.0728  0.1843  0.0539  0.09
Uninsky 1971   48  0.7524  0.0042  0.0545  0.0544  0.0650  0.05
Wasowski 1980   52  0.7430  0.0061  0.0540  0.0549  0.0547  0.05
Weissenberg 1971   51  0.7556  0.0045  0.0447  0.0439  0.0943  0.06
Average   1  0.891  0.241  0.231  0.7133  0.0816  0.24
Random 1    66  -0.1352  0.0066  0.0166  0.0162  0.0266  0.01
Random 2   64  0.1464  0.0064  0.0449  0.042  0.4530  0.13
Random 3   65  -0.1166  0.0065  0.0265  0.0225  0.1646  0.06

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).