Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.777  0.038  0.227  0.626  0.527  0.57
Anderszewski 2003   64  0.5387  0.0071  0.0558  0.0573  0.0373  0.04
Ashkenazy 1981   33  0.6515  0.0120  0.0727  0.2430  0.2633  0.25
Bacha 2000   72  0.4988  0.0054  0.0553  0.0561  0.0562  0.05
Badura 1965   42  0.6319  0.0042  0.0538  0.147  0.4632  0.25
Barbosa 1983   81  0.4348  0.0075  0.0375  0.0369  0.0485  0.03
Biret 1990   48  0.6063  0.0052  0.0647  0.0647  0.0661  0.06
Blet 2003   30  0.6646  0.0035  0.0544  0.1027  0.2642  0.16
Block 1995   37  0.6442  0.0051  0.0552  0.0518  0.3446  0.13
Blumental 1952   76  0.4751  0.0058  0.0374  0.0367  0.0387  0.03
Boshniakovich 1969   10  0.745  0.0411  0.1614  0.436  0.5712  0.50
Brailowsky 1960   47  0.6056  0.0057  0.0651  0.0628  0.3045  0.13
Bunin 1987   73  0.4778  0.0083  0.0379  0.0359  0.0488  0.03
Bunin 1987b   75  0.4779  0.0082  0.0377  0.0359  0.0571  0.04
Chiu 1999   62  0.5543  0.0047  0.0554  0.0529  0.2552  0.11
Cohen 1997   85  0.3450  0.0085  0.0460  0.0452  0.0579  0.04
Cortot 1951   58  0.5680  0.0077  0.0387  0.0355  0.0581  0.04
Csalog 1996   66  0.5218  0.0143  0.0542  0.1211  0.4535  0.23
Czerny 1949   45  0.6267  0.0032  0.0534  0.1656  0.0557  0.09
Czerny 1990   11  0.7412  0.0115  0.1013  0.4518  0.4115  0.43
Duchoud 2007   70  0.5072  0.0073  0.0462  0.0460  0.0476  0.04
Ezaki 2006   7  0.7524  0.0013  0.1111  0.4815  0.3914  0.43
Falvay 1989   24  0.6923  0.0040  0.0640  0.1419  0.4034  0.24
Farrell 1958   61  0.5676  0.0064  0.0382  0.0352  0.0669  0.04
Ferenczy 1958   71  0.5081  0.0084  0.0380  0.0383  0.0386  0.03
Fliere 1977   2  0.793  0.173  0.203  0.702  0.555  0.62
Fou 1978   3  0.791  0.241  0.244  0.691  0.663  0.67
Francois 1956   40  0.6344  0.0037  0.0733  0.1728  0.3137  0.23
Friedman 1923   86  0.2761  0.0087  0.0369  0.0370  0.0582  0.04
Friedman 1923b   87  0.2774  0.0086  0.0466  0.0466  0.0580  0.04
Friedman 1930   83  0.3870  0.0080  0.0378  0.0360  0.0574  0.04
Garcia 2007   69  0.5083  0.0076  0.0384  0.0355  0.0577  0.04
Garcia 2007b   84  0.3686  0.0081  0.0386  0.0362  0.0489  0.03
Gierzod 1998   16  0.724  0.066  0.1410  0.529  0.5010  0.51
Gornostaeva 1994   32  0.6566  0.0036  0.0537  0.1528  0.2838  0.20
Groot 1988   31  0.6562  0.0045  0.0555  0.0530  0.3549  0.13
Harasiewicz 1955   29  0.6620  0.0014  0.1215  0.4227  0.3119  0.36
Hatto 1993   79  0.4565  0.0034  0.0636  0.1522  0.2639  0.20
Hatto 1997   74  0.4725  0.0053  0.0649  0.0639  0.1159  0.08
Horowitz 1949   35  0.6514  0.0130  0.0530  0.1912  0.5128  0.31
Indjic 1988   77  0.4659  0.0033  0.0632  0.1724  0.2240  0.19
Kapell 1951   53  0.5847  0.0066  0.0463  0.0457  0.0470  0.04
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   6  0.7610  0.0210  0.168  0.568  0.499  0.52
Luisada 1991   17  0.719  0.037  0.1812  0.484  0.5211  0.50
Lushtak 2004   34  0.6540  0.0046  0.0645  0.0651  0.0567  0.05
Malcuzynski 1961   22  0.7031  0.0029  0.0726  0.278  0.4520  0.35
Magaloff 1978   21  0.7027  0.0019  0.0821  0.364  0.5016  0.42
Magin 1975   14  0.7217  0.0112  0.139  0.534  0.528  0.52
Michalowski 1933   82  0.4190  0.0079  0.0383  0.0349  0.0765  0.05
Milkina 1970   4  0.796  0.034  0.242  0.731  0.701  0.71
Mohovich 1999   20  0.7054  0.0022  0.0720  0.3728  0.3222  0.34
Moravec 1969   54  0.5782  0.0072  0.0648  0.0626  0.3444  0.14
Morozova 2008   19  0.7069  0.0023  0.0819  0.3818  0.3021  0.34
Neighaus 1950   26  0.6857  0.0016  0.0817  0.3928  0.2726  0.32
Niedzielski 1931   65  0.5371  0.0044  0.0643  0.1121  0.3041  0.18
Ohlsson 1999   43  0.6226  0.0021  0.0822  0.3223  0.3325  0.32
Osinska 1989   12  0.7334  0.0018  0.0818  0.3919  0.3918  0.39
Pachmann 1927   50  0.5955  0.0059  0.0371  0.039  0.4054  0.11
Paderewski 1930   38  0.6416  0.0150  0.0646  0.0625  0.2253  0.11
Perlemuter 1992   18  0.7136  0.0024  0.0724  0.3018  0.3523  0.32
Pierdomenico 2008   36  0.6539  0.0041  0.0639  0.148  0.4631  0.25
Poblocka 1999   15  0.7221  0.0025  0.0725  0.2920  0.3229  0.30
Rabcewiczowa 1932   56  0.5784  0.0065  0.0373  0.0363  0.0484  0.03
Rachmaninoff 1923   52  0.5853  0.0038  0.0641  0.1241  0.1250  0.12
Rangell 2001   60  0.5632  0.0049  0.0556  0.0523  0.3347  0.13
Richter 1976   25  0.6833  0.0031  0.0729  0.229  0.4824  0.32
Rosen 1989   13  0.7249  0.0017  0.0816  0.4118  0.4217  0.41
Rosenthal 1930   59  0.5660  0.0067  0.0385  0.0327  0.2558  0.09
Rosenthal 1931   67  0.5252  0.0068  0.0376  0.0317  0.4455  0.11
Rosenthal 1931b   68  0.5077  0.0070  0.0459  0.0417  0.3751  0.12
Rosenthal 1931c   57  0.5728  0.0055  0.0557  0.0516  0.4343  0.15
Rosenthal 1931d   63  0.5475  0.0069  0.0464  0.0416  0.4348  0.13
Rossi 2007   78  0.4668  0.0078  0.0372  0.0342  0.1063  0.05
Rubinstein 1939   80  0.4338  0.0074  0.0465  0.0431  0.2756  0.10
Rubinstein 1952   28  0.6613  0.0127  0.0823  0.312  0.6713  0.46
Rubinstein 1966   41  0.6330  0.0028  0.0735  0.1613  0.5330  0.29
Schilhawsky 1960   39  0.6322  0.0026  0.0728  0.2439  0.2236  0.23
Shebanova 2002   1  0.812  0.182  0.271  0.741  0.682  0.71
Smith 1975   27  0.6735  0.0048  0.0650  0.0651  0.0564  0.05
Sokolov 2002   46  0.6058  0.0060  0.0370  0.0358  0.0483  0.03
Sztompka 1959   44  0.6245  0.0061  0.0467  0.0472  0.0472  0.04
Tomsic 1995   23  0.7029  0.0039  0.0631  0.1811  0.5427  0.31
Uninsky 1932   55  0.5741  0.0063  0.0468  0.0459  0.0575  0.04
Uninsky 1971   51  0.5937  0.0062  0.0381  0.0348  0.0766  0.05
Wasowski 1980   49  0.5964  0.0056  0.0461  0.0464  0.0568  0.04
Zak 1937   9  0.7411  0.029  0.176  0.644  0.616  0.62
Zak 1951   8  0.758  0.035  0.185  0.672  0.654  0.66
Random 1   90  -0.1389  0.0089  0.0189  0.0138  0.1978  0.04
Random 2   88  -0.1185  0.0088  0.0288  0.0228  0.1860  0.06
Random 3   89  -0.1273  0.0090  0.0190  0.0180  0.0290  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).