Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.6041  0.0042  0.0454  0.0443  0.0561  0.04
Ashkenazy 1981   13  0.6735  0.0014  0.1111  0.4142  0.0716  0.17
Beliavsky 2004   17  0.656  0.0316  0.0920  0.2732  0.1613  0.21
BenOr 1989   24  0.6437  0.0031  0.0531  0.1157  0.0437  0.07
Biret 1990   28  0.6349  0.0036  0.0737  0.0761  0.0453  0.05
Blet 2003   36  0.6238  0.0035  0.0740  0.0749  0.0542  0.06
Block 1995   27  0.6316  0.0123  0.0925  0.2051  0.0430  0.09
Brailowsky 1960   2  0.725  0.042  0.192  0.672  0.681  0.67
Chiu 1999   33  0.6226  0.0039  0.0738  0.0750  0.0539  0.06
Clidat 1994   8  0.692  0.113  0.1510  0.5012  0.445  0.47
Cohen 1997   52  0.5761  0.0048  0.0546  0.0562  0.0363  0.04
Coop 1987   34  0.6222  0.0040  0.0835  0.0855  0.0541  0.06
Cortot 1951   11  0.6717  0.0120  0.0816  0.3542  0.0622  0.14
Czerny 1949   7  0.693  0.0811  0.1613  0.3738  0.1014  0.19
Czerny 1949b   5  0.709  0.027  0.135  0.6220  0.374  0.48
Ezaki 2006   57  0.5464  0.0060  0.0552  0.0562  0.0354  0.04
Falvay 1989   26  0.6315  0.0138  0.0833  0.0850  0.0540  0.06
Ferenczy 1958   12  0.6710  0.029  0.137  0.545  0.583  0.56
Fiorentino 1962   38  0.6153  0.0045  0.0739  0.0760  0.0452  0.05
Fliere 1977   3  0.7218  0.015  0.153  0.6425  0.296  0.43
Fou 1978   47  0.5931  0.0024  0.0829  0.1655  0.0431  0.08
Francois 1956   63  0.4429  0.0063  0.0544  0.0529  0.2424  0.11
Hatto 1997   23  0.6439  0.0030  0.0530  0.1242  0.0633  0.08
Horowitz 1971   20  0.6423  0.0021  0.1118  0.3113  0.3511  0.33
Horowitz 1985   49  0.5819  0.0122  0.0921  0.2716  0.3312  0.30
Indjic 2001   19  0.6465  0.0029  0.0526  0.1745  0.0627  0.10
Kapell 1951   29  0.6312  0.0215  0.1017  0.3446  0.0619  0.14
Kiepura 1999   45  0.5950  0.0049  0.0459  0.0459  0.0455  0.04
Kilenyi 1937   40  0.6157  0.0041  0.0545  0.0562  0.0358  0.04
Kissin 1993   30  0.6342  0.0026  0.0822  0.2660  0.0426  0.10
Kitain 1937   50  0.5724  0.0044  0.0548  0.0515  0.4221  0.14
Kushner 1990   60  0.5244  0.0054  0.0362  0.0354  0.0464  0.03
Levy 1951   15  0.678  0.0318  0.0812  0.3841  0.0717  0.16
Luisada 1990   51  0.5745  0.0058  0.0458  0.0453  0.0649  0.05
Lushtak 2004   48  0.5836  0.0053  0.0363  0.0359  0.0465  0.03
Lympany 1968   37  0.6248  0.0033  0.0641  0.0639  0.0738  0.06
Magaloff 1977   53  0.5766  0.0051  0.0547  0.0553  0.0547  0.05
Magaloff 1977b   56  0.5662  0.0050  0.0456  0.0458  0.0562  0.04
Magin 1975   44  0.6021  0.0052  0.0460  0.0441  0.0645  0.05
Milkina 1970   16  0.6543  0.0013  0.1019  0.3141  0.0620  0.14
Mohovich 1999   46  0.5955  0.0043  0.0550  0.0542  0.0651  0.05
Nadelmann 1956   14  0.677  0.034  0.166  0.5726  0.219  0.35
Ohlsson 1999   35  0.6225  0.0017  0.0927  0.1755  0.0432  0.08
Olejniczac 1990   39  0.6134  0.0046  0.0736  0.0758  0.0448  0.05
Olejniczak 1991   54  0.5633  0.0055  0.0461  0.0457  0.0557  0.04
Osinska 1989   21  0.6446  0.0034  0.0642  0.0661  0.0444  0.05
Paderewski 1912   41  0.6059  0.0028  0.0828  0.1650  0.0529  0.09
Perahia 1994   61  0.5130  0.0061  0.0457  0.0436  0.0650  0.05
Perlemuter 1986   55  0.5651  0.0057  0.0549  0.0537  0.0936  0.07
Poblocka 1999   25  0.6332  0.0037  0.0834  0.0845  0.0735  0.07
Rangell 2001   59  0.5347  0.0059  0.0453  0.0463  0.0366  0.03
Risler 1920   62  0.4713  0.0262  0.0551  0.0560  0.0456  0.04
Rosen 1989   10  0.6814  0.0212  0.1714  0.3610  0.477  0.41
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   6  0.6911  0.028  0.128  0.5323  0.288  0.39
Rubinstein 1966   4  0.704  0.066  0.164  0.638  0.512  0.57
Rummel 1943   31  0.6220  0.0119  0.0915  0.3620  0.3010  0.33
Shebanova 2002   58  0.5463  0.0056  0.0455  0.0455  0.0559  0.04
Smith 1975   9  0.6828  0.0010  0.139  0.5246  0.0518  0.16
Szpilman 1948   32  0.6240  0.0025  0.0923  0.2458  0.0425  0.10
Uninsky 1971   22  0.6452  0.0027  0.0824  0.2237  0.0723  0.12
Wasowski 1980   18  0.6460  0.0032  0.0632  0.1159  0.0434  0.07
Weissenberg 1971   42  0.6054  0.0047  0.0643  0.0661  0.0446  0.05
Average   1  0.751  0.421  0.411  0.8157  0.0415  0.18
Random 1    65  0.0056  0.0065  0.0265  0.0220  0.3728  0.09
Random 2   64  0.0258  0.0064  0.0264  0.0231  0.1060  0.04
Random 3   66  0.0027  0.0066  0.0166  0.0117  0.3143  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).