Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.3662  0.0050  0.0359  0.0324  0.1855  0.07
Ashkenazy 1981   8  0.506  0.027  0.1520  0.485  0.6912  0.58
Beliavsky 2004   60  0.3058  0.0061  0.0453  0.0447  0.0759  0.05
BenOr 1989   9  0.5037  0.0019  0.1211  0.5819  0.5616  0.57
Biret 1990   16  0.4814  0.0023  0.1422  0.437  0.4923  0.46
Blet 2003   20  0.478  0.0116  0.1018  0.4918  0.5420  0.51
Block 1995   14  0.492  0.039  0.237  0.614  0.608  0.60
Brailowsky 1960   11  0.507  0.018  0.1510  0.5816  0.5713  0.57
Chiu 1999   31  0.4351  0.0034  0.0544  0.0517  0.3936  0.14
Clidat 1994   36  0.4154  0.0045  0.0542  0.0543  0.0661  0.05
Cohen 1997   57  0.3357  0.0054  0.0356  0.0315  0.4943  0.12
Coop 1987   4  0.5721  0.004  0.374  0.717  0.605  0.65
Cortot 1951   61  0.2939  0.0062  0.0535  0.0525  0.3537  0.13
Czerny 1949   52  0.3623  0.0038  0.0634  0.0632  0.1448  0.09
Czerny 1949b   48  0.3738  0.0044  0.0448  0.0430  0.2545  0.10
Ezaki 2006   35  0.4140  0.0031  0.1031  0.2028  0.4129  0.29
Falvay 1989   45  0.3725  0.0056  0.0357  0.0331  0.1553  0.07
Ferenczy 1958   22  0.4610  0.0110  0.1415  0.5415  0.6115  0.57
Fiorentino 1962   17  0.4843  0.0020  0.1213  0.5512  0.649  0.59
Fliere 1977   34  0.4246  0.0032  0.0632  0.1217  0.4432  0.23
Fou 1978   18  0.483  0.0222  0.1116  0.5413  0.6114  0.57
Francois 1956   47  0.3763  0.0047  0.0540  0.0510  0.4835  0.15
Hatto 1997   25  0.4449  0.0027  0.0826  0.3022  0.3826  0.34
Horowitz 1971   58  0.3355  0.0052  0.0362  0.0334  0.0964  0.05
Horowitz 1985   56  0.3464  0.0048  0.0545  0.0534  0.0952  0.07
Indjic 2001   26  0.4411  0.0026  0.0827  0.2823  0.4127  0.34
Kapell 1951   19  0.4727  0.0025  0.1123  0.4015  0.4924  0.44
Kiepura 1999   40  0.3852  0.0039  0.0538  0.0545  0.0557  0.05
Kilenyi 1937   23  0.4520  0.0014  0.0817  0.5317  0.5917  0.56
Kissin 1993   32  0.4222  0.0036  0.0539  0.0532  0.1451  0.08
Kitain 1937   62  0.2745  0.0055  0.0360  0.0337  0.0863  0.05
Kushner 1990   7  0.5112  0.0011  0.128  0.5913  0.5811  0.58
Levy 1951   38  0.4059  0.0043  0.0450  0.0422  0.3439  0.12
Luisada 1990   37  0.4013  0.0037  0.0537  0.0516  0.5033  0.16
Lushtak 2004   50  0.3633  0.0058  0.0358  0.0336  0.0962  0.05
Lympany 1968   55  0.3524  0.0053  0.0361  0.0333  0.1256  0.06
Magaloff 1977   30  0.4326  0.0033  0.0541  0.056  0.4834  0.15
Magaloff 1977b   41  0.3834  0.0057  0.0452  0.0416  0.3244  0.11
Magin 1975   10  0.5015  0.0018  0.1114  0.5418  0.5219  0.53
Milkina 1970   5  0.5516  0.005  0.136  0.6410  0.606  0.62
Mohovich 1999   24  0.4548  0.0024  0.0925  0.3815  0.5225  0.44
Nadelmann 1956   12  0.4936  0.0013  0.0919  0.499  0.4322  0.46
Ohlsson 1999   6  0.5418  0.006  0.195  0.653  0.714  0.68
Olejniczac 1990   13  0.4919  0.0015  0.109  0.5811  0.677  0.62
Olejniczak 1991   15  0.4850  0.0017  0.1012  0.5611  0.6010  0.58
Osinska 1989   3  0.575  0.023  0.332  0.785  0.703  0.74
Paderewski 1912   39  0.3932  0.0042  0.0449  0.0417  0.3441  0.12
Perahia 1994   27  0.4342  0.0030  0.1030  0.2426  0.2631  0.25
Perlemuter 1986   29  0.4344  0.0028  0.0929  0.2521  0.3230  0.28
Poblocka 1999   54  0.3547  0.0051  0.0355  0.0338  0.0758  0.05
Rangell 2001   51  0.3630  0.0059  0.0447  0.0426  0.2546  0.10
Risler 1920   59  0.3353  0.0060  0.0536  0.0520  0.2838  0.12
Rosen 1989   28  0.4335  0.0012  0.0924  0.3912  0.6221  0.49
Rubinstein 1939   2  0.604  0.022  0.293  0.771  0.822  0.79
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.701  0.791  0.781  0.901  0.871  0.88
Rummel 1943   49  0.3641  0.0040  0.0451  0.0410  0.3542  0.12
Shebanova 2002   33  0.4231  0.0035  0.0633  0.0634  0.0954  0.07
Smith 1975   46  0.3729  0.0029  0.1228  0.288  0.3428  0.31
Szpilman 1948   21  0.469  0.0121  0.1021  0.489  0.6418  0.55
Uninsky 1971   44  0.3828  0.0049  0.0454  0.0436  0.0760  0.05
Wasowski 1980   43  0.3817  0.0046  0.0543  0.0532  0.1350  0.08
Weissenberg 1971   42  0.3860  0.0041  0.0546  0.0522  0.2940  0.12
Random 1    63  0.0356  0.0063  0.0263  0.028  0.3847  0.09
Random 2   64  0.0361  0.0064  0.0264  0.0215  0.3849  0.09
Random 3   65  0.0265  0.0065  0.0265  0.0236  0.0865  0.04

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).