Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.3154  0.0067  0.0666  0.0681  0.0375  0.04
Anderszewski 2003   47  0.3662  0.0037  0.0838  0.3736  0.3330  0.35
Ashkenazy 1981   3  0.593  0.193  0.258  0.803  0.834  0.81
Bacha 2000   64  0.2963  0.0069  0.0658  0.0655  0.0562  0.05
Badura 1965   51  0.3572  0.0048  0.0754  0.0726  0.3147  0.15
Barbosa 1983   21  0.4446  0.0030  0.0626  0.5243  0.1736  0.30
Biret 1990   78  0.2150  0.0078  0.0477  0.0487  0.0282  0.03
Blet 2003   35  0.3933  0.0052  0.1146  0.1138  0.2246  0.16
Block 1995   20  0.4419  0.0014  0.2020  0.589  0.6213  0.60
Blumental 1952   42  0.3776  0.0051  0.1047  0.1057  0.0656  0.08
Boshniakovich 1969   26  0.4221  0.0022  0.1024  0.5434  0.2828  0.39
Brailowsky 1960   84  0.1455  0.0085  0.0286  0.0285  0.0384  0.02
Bunin 1987   70  0.2674  0.0075  0.0657  0.0673  0.0378  0.04
Bunin 1987b   72  0.2566  0.0074  0.0479  0.0478  0.0379  0.03
Chiu 1999   36  0.3941  0.0044  0.0944  0.1864  0.0455  0.08
Cohen 1997   81  0.1789  0.0083  0.0480  0.0474  0.0381  0.03
Cortot 1951   79  0.2061  0.0073  0.0476  0.0458  0.0669  0.05
Csalog 1996   44  0.3629  0.0025  0.0632  0.4715  0.4421  0.45
Czerny 1949   75  0.2377  0.0071  0.0668  0.0670  0.0466  0.05
Czerny 1990   4  0.567  0.024  0.333  0.865  0.821  0.84
Duchoud 2007   63  0.3078  0.0060  0.0659  0.0637  0.1454  0.09
Ezaki 2006   52  0.3515  0.0157  0.0756  0.0773  0.0461  0.05
Falvay 1989   28  0.4236  0.0027  0.0733  0.4741  0.1539  0.27
Farrell 1958   62  0.3038  0.0056  0.0667  0.0652  0.0657  0.06
Ferenczy 1958   85  0.1332  0.0084  0.0288  0.0278  0.0386  0.02
Fliere 1977   12  0.4922  0.0017  0.3011  0.7330  0.3718  0.52
Fou 1978   10  0.4920  0.0013  0.1612  0.6713  0.6011  0.63
Francois 1956   83  0.1680  0.0082  0.0383  0.0384  0.0291  0.02
Friedman 1923   50  0.3559  0.0043  0.0745  0.1736  0.2442  0.20
Friedman 1923b   46  0.3643  0.0042  0.1041  0.2731  0.3734  0.32
Friedman 1930   66  0.2837  0.0063  0.0669  0.0646  0.0758  0.06
Garcia 2007   73  0.2590  0.0070  0.0751  0.0778  0.0467  0.05
Garcia 2007b   57  0.3240  0.0059  0.0661  0.0649  0.0660  0.06
Gierzod 1998   25  0.4327  0.0031  0.0731  0.4736  0.2431  0.34
Gornostaeva 1994   71  0.2584  0.0077  0.0850  0.0870  0.0459  0.06
Groot 1988   41  0.3870  0.0040  0.1237  0.3976  0.0450  0.12
Harasiewicz 1955   17  0.4726  0.0019  0.1513  0.6641  0.1832  0.34
Hatto 1993   16  0.4718  0.0015  0.1718  0.6118  0.4917  0.55
Hatto 1997   43  0.3651  0.0036  0.0739  0.3455  0.0549  0.13
Horowitz 1949   68  0.2788  0.0072  0.0571  0.0582  0.0373  0.04
Indjic 1988   14  0.4817  0.0012  0.1715  0.6514  0.6112  0.63
Kapell 1951   19  0.4569  0.0020  0.1416  0.6431  0.2825  0.42
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   7  0.549  0.017  0.226  0.8213  0.578  0.68
Luisada 1991   22  0.4364  0.0026  0.0727  0.5022  0.3822  0.44
Lushtak 2004   27  0.4225  0.0018  0.1719  0.5912  0.5715  0.58
Malcuzynski 1961   9  0.4910  0.0111  0.1710  0.7510  0.569  0.65
Magaloff 1978   31  0.4024  0.0028  0.0825  0.5328  0.3226  0.41
Magin 1975   8  0.5112  0.0110  0.217  0.806  0.716  0.75
Michalowski 1933   69  0.2675  0.0068  0.0752  0.0739  0.1851  0.11
Milkina 1970   58  0.3285  0.0054  0.0663  0.0675  0.0372  0.04
Mohovich 1999   65  0.2923  0.0064  0.0572  0.0574  0.0477  0.04
Moravec 1969   24  0.4344  0.0032  0.0730  0.4828  0.3327  0.40
Morozova 2008   23  0.4379  0.0023  0.1223  0.5430  0.3920  0.46
Neighaus 1950   40  0.3835  0.0038  0.0935  0.4228  0.3329  0.37
Niedzielski 1931   49  0.3560  0.0047  0.0755  0.0730  0.2948  0.14
Ohlsson 1999   30  0.4039  0.0029  0.0734  0.4234  0.2633  0.33
Osinska 1989   60  0.3152  0.0058  0.0664  0.0676  0.0463  0.05
Pachmann 1927   45  0.3614  0.0145  0.0943  0.1816  0.4935  0.30
Paderewski 1930   32  0.4016  0.0021  0.1022  0.563  0.7510  0.65
Perlemuter 1992   38  0.3834  0.0049  0.0849  0.0827  0.3643  0.17
Pierdomenico 2008   53  0.3486  0.0050  0.0848  0.0827  0.3445  0.16
Poblocka 1999   29  0.4231  0.0033  0.0928  0.5030  0.3624  0.42
Rabcewiczowa 1932   86  0.1258  0.0081  0.0382  0.0387  0.0285  0.02
Rachmaninoff 1923   74  0.2447  0.0076  0.0660  0.0680  0.0370  0.04
Rangell 2001   54  0.3471  0.0062  0.0574  0.0559  0.0568  0.05
Richter 1976   6  0.558  0.016  0.375  0.835  0.785  0.80
Rosen 1989   55  0.3387  0.0055  0.0665  0.0680  0.0376  0.04
Rosenthal 1930   82  0.1791  0.0086  0.0385  0.0386  0.0288  0.02
Rosenthal 1931   80  0.1849  0.0080  0.0481  0.0476  0.0474  0.04
Rosenthal 1931b   87  0.1265  0.0087  0.0384  0.0388  0.0290  0.02
Rosenthal 1931c   77  0.2181  0.0079  0.0478  0.0486  0.0283  0.03
Rosenthal 1931d   88  0.0983  0.0088  0.0289  0.0288  0.0289  0.02
Rossi 2007   76  0.2328  0.0053  0.0570  0.0511  0.5044  0.16
Rubinstein 1939   56  0.3342  0.0039  0.1040  0.2838  0.1541  0.20
Rubinstein 1952   18  0.4513  0.0124  0.1321  0.5733  0.4019  0.48
Rubinstein 1966   13  0.494  0.048  0.2017  0.6215  0.5614  0.59
Schilhawsky 1960   59  0.3256  0.0066  0.0575  0.0555  0.0565  0.05
Shebanova 2002   2  0.601  0.281  0.282  0.872  0.792  0.83
Smith 1975   67  0.2853  0.0065  0.0573  0.0563  0.0471  0.04
Sokolov 2002   34  0.4030  0.0041  0.0742  0.2634  0.3337  0.29
Sztompka 1959   5  0.566  0.035  0.364  0.853  0.793  0.82
Tomsic 1995   33  0.4057  0.0034  0.1229  0.4923  0.3923  0.44
Uninsky 1932   11  0.495  0.049  0.239  0.765  0.707  0.73
Uninsky 1971   39  0.3848  0.0035  0.1236  0.4039  0.2038  0.28
Wasowski 1980   15  0.4711  0.0116  0.2014  0.6521  0.5016  0.57
Zak 1937   37  0.3945  0.0046  0.0662  0.0641  0.1553  0.09
Zak 1951   48  0.3682  0.0061  0.0753  0.0768  0.0464  0.05
Average   1  0.602  0.272  0.431  0.8962  0.0540  0.21
Random 1   89  0.0373  0.0089  0.0287  0.024  0.5052  0.10
Random 2   90  0.0067  0.0090  0.0190  0.0167  0.0487  0.02
Random 3   91  -0.0568  0.0091  0.0191  0.0144  0.1180  0.03

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).