Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5322  0.0146  0.0654  0.0682  0.0362  0.04
Anderszewski 2003   82  0.2436  0.0076  0.0562  0.0576  0.0359  0.04
Ashkenazy 1981   54  0.4228  0.0061  0.0465  0.0479  0.0379  0.03
Bacha 2000   22  0.5639  0.0019  0.1020  0.4516  0.3415  0.39
Badura 1965   74  0.3173  0.0063  0.0652  0.0675  0.0453  0.05
Barbosa 1983   37  0.5041  0.0031  0.0929  0.3135  0.1827  0.24
Biret 1990   24  0.5543  0.0029  0.0726  0.3665  0.0534  0.13
Blet 2003   31  0.5384  0.0044  0.0840  0.1662  0.0442  0.08
Block 1995   62  0.3961  0.0034  0.0545  0.1068  0.0354  0.05
Blumental 1952   45  0.4642  0.0042  0.0641  0.1543  0.0935  0.12
Boshniakovich 1969   53  0.4468  0.0053  0.0655  0.0679  0.0364  0.04
Brailowsky 1960   16  0.5818  0.018  0.1214  0.539  0.4610  0.49
Bunin 1987   76  0.3066  0.0083  0.0560  0.0586  0.0280  0.03
Bunin 1987b   75  0.3078  0.0082  0.0476  0.0487  0.0267  0.03
Chiu 1999   40  0.4986  0.0023  0.0823  0.3835  0.1925  0.27
Cohen 1997   26  0.5423  0.017  0.2115  0.511  0.588  0.54
Cortot 1951   65  0.3633  0.0077  0.0469  0.0483  0.0383  0.03
Csalog 1996   3  0.706  0.054  0.2211  0.561  0.654  0.60
Czerny 1949   69  0.3256  0.0078  0.0559  0.0576  0.0461  0.04
Czerny 1990   28  0.5449  0.0037  0.0534  0.2577  0.0341  0.09
Duchoud 2007   66  0.3546  0.0075  0.0473  0.0488  0.0276  0.03
Ezaki 2006   39  0.5015  0.0148  0.0947  0.0948  0.0543  0.07
Falvay 1989   1  0.735  0.073  0.233  0.661  0.702  0.68
Farrell 1958   19  0.5664  0.0030  0.0828  0.3142  0.1129  0.18
Ferenczy 1958   58  0.4075  0.0065  0.0383  0.0342  0.0851  0.05
Fliere 1977   20  0.5630  0.0027  0.0722  0.4448  0.0530  0.15
Fou 1978   8  0.663  0.085  0.214  0.628  0.477  0.54
Francois 1956   25  0.5426  0.0032  0.0731  0.2957  0.0536  0.12
Friedman 1923   88  -0.0581  0.0088  0.0288  0.0289  0.0190  0.01
Friedman 1923b   86  -0.0488  0.0087  0.0287  0.0289  0.0189  0.01
Friedman 1930   85  0.0583  0.0085  0.0380  0.0388  0.0287  0.02
Garcia 2007   72  0.3290  0.0074  0.0466  0.0472  0.0377  0.03
Garcia 2007b   83  0.2147  0.0073  0.0468  0.0480  0.0385  0.03
Gierzod 1998   41  0.4937  0.0050  0.0946  0.0982  0.0352  0.05
Gornostaeva 1994   52  0.4525  0.0051  0.1144  0.1173  0.0349  0.06
Groot 1988   10  0.668  0.049  0.138  0.5818  0.459  0.51
Harasiewicz 1955   71  0.3214  0.0156  0.0475  0.0469  0.0384  0.03
Hatto 1993   81  0.2748  0.0071  0.0470  0.0476  0.0382  0.03
Hatto 1997   78  0.3054  0.0072  0.0561  0.0563  0.0460  0.04
Horowitz 1949   60  0.3972  0.0062  0.0558  0.0586  0.0269  0.03
Indjic 1988   79  0.2950  0.0070  0.0382  0.0374  0.0372  0.03
Kapell 1951   35  0.5167  0.0033  0.0643  0.1141  0.1137  0.11
Kissin 1993   7  0.6611  0.0210  0.142  0.6723  0.3112  0.46
Kushner 1989   21  0.5635  0.0025  0.0921  0.4557  0.0531  0.15
Luisada 1991   27  0.5410  0.0218  0.1419  0.4535  0.1924  0.29
Lushtak 2004   18  0.574  0.0712  0.1217  0.4724  0.2520  0.34
Malcuzynski 1961   63  0.3960  0.0069  0.0381  0.0363  0.0468  0.03
Magaloff 1978   14  0.6213  0.0213  0.1410  0.5616  0.3711  0.46
Magin 1975   61  0.3919  0.0157  0.0477  0.0483  0.0266  0.03
Michalowski 1933   84  0.1034  0.0084  0.0384  0.0388  0.0286  0.02
Milkina 1970   4  0.687  0.056  0.315  0.625  0.575  0.59
Mohovich 1999   6  0.6612  0.0211  0.147  0.6026  0.3313  0.44
Moravec 1969   15  0.5816  0.0126  0.0724  0.3815  0.4016  0.39
Morozova 2008   51  0.4569  0.0043  0.0642  0.1474  0.0348  0.06
Neighaus 1950   56  0.4159  0.0060  0.0653  0.0685  0.0281  0.03
Niedzielski 1931   55  0.4185  0.0059  0.0563  0.0574  0.0356  0.04
Ohlsson 1999   48  0.4631  0.0045  0.0749  0.0749  0.0547  0.06
Osinska 1989   17  0.5720  0.0120  0.1218  0.4761  0.0432  0.14
Pachmann 1927   43  0.4724  0.0035  0.0538  0.2422  0.2826  0.26
Paderewski 1930   34  0.5182  0.0047  0.0651  0.0666  0.0357  0.04
Perlemuter 1992   29  0.539  0.0424  0.0827  0.3131  0.1728  0.23
Pierdomenico 2008   44  0.4744  0.0049  0.0848  0.0857  0.0546  0.06
Poblocka 1999   47  0.4632  0.0055  0.0557  0.0557  0.0550  0.05
Rabcewiczowa 1932   33  0.5163  0.0036  0.0533  0.2667  0.0340  0.09
Rachmaninoff 1923   67  0.3474  0.0068  0.0471  0.0459  0.0455  0.04
Rangell 2001   42  0.4851  0.0021  0.0937  0.2446  0.0538  0.11
Richter 1976   73  0.3121  0.0154  0.0464  0.0476  0.0370  0.03
Rosen 1989   23  0.5529  0.0028  0.0725  0.3851  0.0533  0.14
Rosenthal 1930   59  0.4057  0.0064  0.0472  0.0487  0.0278  0.03
Rosenthal 1931   49  0.4679  0.0039  0.0635  0.2520  0.4121  0.32
Rosenthal 1931b   50  0.4689  0.0040  0.1036  0.2416  0.3823  0.30
Rosenthal 1931c   38  0.5062  0.0038  0.0632  0.2621  0.3722  0.31
Rosenthal 1931d   32  0.5170  0.0022  0.0830  0.306  0.5314  0.40
Rossi 2007   80  0.2880  0.0058  0.0474  0.0441  0.1144  0.07
Rubinstein 1939   5  0.671  0.261  0.266  0.602  0.633  0.61
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.732  0.112  0.301  0.711  0.761  0.73
Schilhawsky 1960   64  0.3645  0.0067  0.0478  0.0480  0.0373  0.03
Shebanova 2002   11  0.6555  0.0014  0.0916  0.5024  0.3117  0.39
Smith 1975   36  0.5027  0.0041  0.0639  0.2157  0.0439  0.09
Sokolov 2002   57  0.4138  0.0066  0.0479  0.0468  0.0365  0.03
Sztompka 1959   68  0.3458  0.0079  0.0650  0.0685  0.0358  0.04
Tomsic 1995   9  0.6652  0.0015  0.1612  0.557  0.606  0.57
Uninsky 1932   77  0.3053  0.0081  0.0467  0.0480  0.0374  0.03
Uninsky 1971   70  0.3240  0.0080  0.0385  0.0383  0.0371  0.03
Wasowski 1980   46  0.4676  0.0052  0.0656  0.0647  0.0645  0.06
Zak 1937   12  0.6565  0.0016  0.1413  0.5331  0.2219  0.34
Zak 1951   13  0.6317  0.0117  0.169  0.5827  0.2318  0.37
Random 1   90  -0.1277  0.0089  0.0189  0.0139  0.1963  0.04
Random 2   87  -0.0487  0.0086  0.0286  0.0255  0.0475  0.03
Random 3   89  -0.1071  0.0090  0.0190  0.0177  0.0288  0.01

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).