Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.6738  0.0034  0.0727  0.2534  0.1539  0.19
Anderszewski 2003   73  0.3951  0.0071  0.0370  0.0378  0.0376  0.03
Ashkenazy 1981   32  0.644  0.067  0.1215  0.4526  0.2819  0.35
Bacha 2000   48  0.5676  0.0053  0.0460  0.0425  0.3143  0.11
Badura 1965   49  0.5580  0.0044  0.0742  0.1425  0.3138  0.21
Barbosa 1983   60  0.4750  0.0059  0.0554  0.0550  0.0557  0.05
Biret 1990   51  0.5542  0.0054  0.0551  0.0554  0.0468  0.04
Blet 2003   39  0.6169  0.0057  0.0461  0.0455  0.0464  0.04
Block 1995   17  0.7055  0.0036  0.0637  0.2014  0.3330  0.26
Blumental 1952   77  0.3317  0.0166  0.0465  0.0474  0.0382  0.03
Boshniakovich 1969   16  0.7020  0.0124  0.0724  0.3010  0.3821  0.34
Brailowsky 1960   22  0.6833  0.0039  0.0628  0.2515  0.3923  0.31
Bunin 1987   67  0.4539  0.0078  0.0466  0.0468  0.0467  0.04
Bunin 1987b   66  0.4566  0.0077  0.0288  0.0267  0.0472  0.03
Chiu 1999   45  0.5748  0.0032  0.0631  0.2419  0.3624  0.29
Cohen 1997   74  0.3845  0.0067  0.0369  0.0335  0.1654  0.07
Cortot 1951   62  0.4772  0.0075  0.0286  0.0270  0.0388  0.02
Csalog 1996   53  0.519  0.0227  0.0743  0.139  0.5229  0.26
Czerny 1949   56  0.4977  0.0058  0.0462  0.0476  0.0380  0.03
Czerny 1990   21  0.6830  0.0038  0.0833  0.2348  0.0545  0.11
Duchoud 2007   57  0.4953  0.0035  0.0644  0.1366  0.0453  0.07
Ezaki 2006   10  0.7660  0.0017  0.0811  0.4823  0.2816  0.37
Falvay 1989   1  0.843  0.083  0.195  0.576  0.545  0.55
Farrell 1958   61  0.4746  0.0072  0.0376  0.0387  0.0283  0.02
Ferenczy 1958   72  0.4184  0.0082  0.0377  0.0388  0.0285  0.02
Fliere 1977   6  0.788  0.026  0.134  0.604  0.476  0.53
Fou 1978   2  0.831  0.301  0.301  0.711  0.602  0.65
Francois 1956   34  0.6229  0.0023  0.0922  0.3230  0.1933  0.25
Friedman 1923   88  -0.1178  0.0090  0.0190  0.0178  0.0389  0.02
Friedman 1923b   89  -0.1167  0.0089  0.0189  0.0181  0.0387  0.02
Friedman 1930   84  0.1158  0.0079  0.0379  0.0357  0.0565  0.04
Garcia 2007   78  0.2885  0.0084  0.0372  0.0372  0.0381  0.03
Garcia 2007b   85  0.0386  0.0086  0.0281  0.0289  0.0190  0.01
Gierzod 1998   46  0.576  0.0313  0.0835  0.2241  0.1240  0.16
Gornostaeva 1994   20  0.6861  0.0015  0.0718  0.3820  0.3122  0.34
Groot 1988   12  0.7427  0.0018  0.0817  0.4116  0.3915  0.40
Harasiewicz 1955   47  0.5710  0.0230  0.0726  0.2530  0.2236  0.23
Hatto 1993   81  0.2454  0.0061  0.0845  0.0866  0.0360  0.05
Hatto 1997   79  0.2873  0.0062  0.0458  0.0483  0.0278  0.03
Horowitz 1949   43  0.5821  0.0126  0.0634  0.2312  0.3625  0.29
Indjic 1988   80  0.2670  0.0060  0.0647  0.0670  0.0363  0.04
Kapell 1951   64  0.4628  0.0074  0.0284  0.0278  0.0384  0.02
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   11  0.7513  0.018  0.106  0.565  0.487  0.52
Luisada 1991   33  0.6325  0.0021  0.0920  0.3520  0.3320  0.34
Lushtak 2004   36  0.6226  0.0042  0.0741  0.1764  0.0449  0.08
Malcuzynski 1961   7  0.787  0.0210  0.137  0.5413  0.4310  0.48
Magaloff 1978   8  0.7811  0.029  0.1010  0.485  0.4711  0.47
Magin 1975   29  0.6612  0.0116  0.0819  0.367  0.3717  0.36
Michalowski 1933   83  0.1868  0.0083  0.0468  0.0480  0.0374  0.03
Milkina 1970   4  0.805  0.044  0.193  0.625  0.583  0.60
Mohovich 1999   13  0.7359  0.0031  0.0825  0.2724  0.2827  0.27
Moravec 1969   37  0.6262  0.0028  0.0638  0.1819  0.3531  0.25
Morozova 2008   40  0.6031  0.0045  0.0746  0.0758  0.0458  0.05
Neighaus 1950   27  0.6747  0.0025  0.0723  0.3137  0.1735  0.23
Niedzielski 1931   76  0.3765  0.0070  0.0374  0.0353  0.0470  0.03
Ohlsson 1999   41  0.5914  0.0122  0.1129  0.2525  0.2434  0.24
Osinska 1989   15  0.7044  0.0033  0.0632  0.2323  0.2928  0.26
Pachmann 1927   52  0.5324  0.0047  0.0648  0.0623  0.3341  0.14
Paderewski 1930   38  0.6116  0.0148  0.0550  0.0538  0.1152  0.07
Perlemuter 1992   30  0.6523  0.0041  0.0936  0.2128  0.2237  0.21
Pierdomenico 2008   14  0.7135  0.0012  0.1112  0.462  0.519  0.48
Poblocka 1999   35  0.6240  0.0055  0.0552  0.0569  0.0361  0.04
Rabcewiczowa 1932   65  0.4574  0.0069  0.0373  0.0365  0.0371  0.03
Rachmaninoff 1923   69  0.4379  0.0056  0.0555  0.0546  0.0556  0.05
Rangell 2001   23  0.6841  0.0019  0.0816  0.435  0.4613  0.44
Richter 1976   28  0.6632  0.0040  0.0830  0.2418  0.2632  0.25
Rosen 1989   19  0.6987  0.0029  0.0721  0.3220  0.4018  0.36
Rosenthal 1930   55  0.5071  0.0064  0.0456  0.0462  0.0466  0.04
Rosenthal 1931   54  0.5037  0.0049  0.0463  0.0428  0.3144  0.11
Rosenthal 1931b   58  0.4852  0.0052  0.0553  0.0522  0.2942  0.12
Rosenthal 1931c   42  0.5863  0.0051  0.0457  0.0427  0.2347  0.10
Rosenthal 1931d   50  0.5588  0.0050  0.0464  0.0422  0.3246  0.11
Rossi 2007   71  0.4289  0.0046  0.0459  0.0421  0.2148  0.09
Rubinstein 1939   82  0.2256  0.0073  0.0378  0.0337  0.1851  0.07
Rubinstein 1952   9  0.7618  0.0111  0.129  0.501  0.634  0.56
Rubinstein 1966   31  0.6481  0.0043  0.0739  0.179  0.5126  0.29
Schilhawsky 1960   63  0.4682  0.0068  0.0375  0.0375  0.0377  0.03
Shebanova 2002   3  0.812  0.212  0.212  0.701  0.671  0.68
Smith 1975   24  0.6734  0.0037  0.0740  0.1766  0.0350  0.07
Sokolov 2002   44  0.5743  0.0063  0.0649  0.0672  0.0362  0.04
Sztompka 1959   68  0.4522  0.0176  0.0282  0.0266  0.0473  0.03
Tomsic 1995   5  0.8019  0.015  0.1714  0.4513  0.4214  0.43
Uninsky 1932   75  0.3836  0.0080  0.0280  0.0261  0.0479  0.03
Uninsky 1971   70  0.4349  0.0081  0.0467  0.0481  0.0275  0.03
Wasowski 1980   59  0.4875  0.0065  0.0371  0.0369  0.0469  0.03
Zak 1937   26  0.6764  0.0020  0.1013  0.4511  0.4312  0.44
Zak 1951   18  0.7015  0.0114  0.078  0.5211  0.468  0.49
Random 1   87  -0.0457  0.0087  0.0285  0.0229  0.1955  0.06
Random 2   90  -0.1290  0.0088  0.0287  0.0257  0.0386  0.02
Random 3   86  0.0183  0.0085  0.0283  0.0237  0.1459  0.05

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).