Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.882  0.192  0.372  0.711  0.612  0.66
Anderszewski 2003   38  0.6830  0.0041  0.0542  0.1037  0.2143  0.14
Ashkenazy 1981   46  0.6661  0.0026  0.0631  0.2122  0.2932  0.25
Bacha 2000   85  0.4367  0.0085  0.0376  0.0358  0.0485  0.03
Badura 1965   32  0.7047  0.0030  0.0630  0.2214  0.5325  0.34
Barbosa 1983   86  0.3937  0.0086  0.0458  0.0467  0.0481  0.04
Biret 1990   52  0.6531  0.0049  0.0449  0.0432  0.1871  0.08
Blet 2003   28  0.7250  0.0032  0.0737  0.1819  0.3431  0.25
Block 1995   68  0.5865  0.0066  0.0366  0.0357  0.0487  0.03
Blumental 1952   64  0.6010  0.0133  0.0735  0.1922  0.2039  0.19
Boshniakovich 1969   11  0.793  0.094  0.1515  0.4415  0.5212  0.48
Brailowsky 1960   79  0.5280  0.0082  0.0381  0.0380  0.0386  0.03
Bunin 1987   81  0.5077  0.0081  0.0287  0.0240  0.1974  0.06
Bunin 1987b   82  0.4959  0.0080  0.0385  0.0339  0.1969  0.08
Chiu 1999   77  0.5374  0.0063  0.0464  0.0445  0.0580  0.04
Cohen 1997   87  0.3158  0.0087  0.0457  0.0463  0.0483  0.04
Cortot 1951   44  0.6657  0.0062  0.0448  0.0427  0.2959  0.11
Csalog 1996   75  0.5320  0.0175  0.0375  0.0332  0.2070  0.08
Czerny 1949   24  0.7451  0.0010  0.1311  0.4814  0.5111  0.49
Czerny 1990   12  0.7952  0.0015  0.1116  0.438  0.4617  0.44
Duchoud 2007   80  0.5232  0.0078  0.0377  0.0346  0.0777  0.05
Ezaki 2006   22  0.7545  0.0025  0.0624  0.3311  0.4922  0.40
Falvay 1989   72  0.549  0.0276  0.0382  0.0341  0.2268  0.08
Farrell 1958   53  0.6581  0.0048  0.0452  0.0427  0.3152  0.11
Ferenczy 1958   66  0.5970  0.0077  0.0379  0.0351  0.0582  0.04
Fliere 1977   8  0.8016  0.016  0.168  0.5112  0.4214  0.46
Fou 1978   21  0.7524  0.0021  0.1023  0.3317  0.3426  0.33
Francois 1956   59  0.6353  0.0060  0.0368  0.0325  0.2967  0.09
Friedman 1923   49  0.6578  0.0057  0.0378  0.0326  0.4160  0.11
Friedman 1923b   50  0.6585  0.0053  0.0456  0.0426  0.4247  0.13
Friedman 1930   56  0.6486  0.0061  0.0372  0.0331  0.3758  0.11
Garcia 2007   27  0.7387  0.0035  0.0539  0.1227  0.3038  0.19
Garcia 2007b   36  0.6982  0.0046  0.0461  0.0434  0.2464  0.10
Gierzod 1998   2  0.861  0.341  0.341  0.722  0.681  0.70
Gornostaeva 1994   60  0.6242  0.0065  0.0374  0.0342  0.0978  0.05
Groot 1988   69  0.5788  0.0073  0.0367  0.0366  0.0489  0.03
Harasiewicz 1955   19  0.7612  0.0118  0.1110  0.4911  0.4316  0.46
Hatto 1993   47  0.6654  0.0040  0.0833  0.2029  0.2835  0.24
Hatto 1997   42  0.6735  0.0039  0.0534  0.2028  0.2934  0.24
Horowitz 1949   29  0.7260  0.0036  0.0540  0.1214  0.4833  0.24
Indjic 1988   41  0.6779  0.0038  0.0532  0.2124  0.3130  0.26
Kapell 1951   33  0.7041  0.0031  0.0628  0.2547  0.0553  0.11
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   17  0.7615  0.0128  0.0827  0.2621  0.3829  0.31
Luisada 1991   13  0.786  0.038  0.1114  0.475  0.4713  0.47
Lushtak 2004   39  0.6866  0.0042  0.0444  0.0826  0.2146  0.13
Malcuzynski 1961   62  0.6217  0.0164  0.0380  0.0315  0.3262  0.10
Magaloff 1978   61  0.6246  0.0059  0.0463  0.0419  0.3351  0.11
Magin 1975   14  0.7822  0.0120  0.0918  0.4015  0.4521  0.42
Michalowski 1933   51  0.6564  0.0055  0.0462  0.0423  0.2856  0.11
Milkina 1970   15  0.777  0.0311  0.139  0.506  0.567  0.53
Mohovich 1999   40  0.6723  0.0134  0.0836  0.1836  0.2736  0.22
Moravec 1969   78  0.5371  0.0083  0.0286  0.0239  0.1475  0.05
Morozova 2008   6  0.8148  0.0012  0.1212  0.482  0.5610  0.52
Neighaus 1950   35  0.6938  0.0024  0.0826  0.3027  0.3627  0.33
Niedzielski 1931   34  0.7075  0.0029  0.0829  0.2421  0.4328  0.32
Ohlsson 1999   48  0.6525  0.0037  0.0538  0.1331  0.2540  0.18
Osinska 1989   20  0.7629  0.0016  0.1217  0.4311  0.5015  0.46
Pachmann 1927   55  0.6468  0.0067  0.0365  0.0315  0.3755  0.11
Paderewski 1930   45  0.6672  0.0051  0.0451  0.0422  0.3254  0.11
Perlemuter 1992   18  0.7669  0.0019  0.1021  0.3913  0.4619  0.42
Pierdomenico 2008   67  0.585  0.0369  0.0459  0.0422  0.3648  0.12
Poblocka 1999   4  0.8118  0.019  0.155  0.545  0.553  0.54
Rabcewiczowa 1932   37  0.6949  0.0045  0.0450  0.0425  0.2461  0.10
Rachmaninoff 1923   26  0.7336  0.0017  0.1019  0.407  0.4420  0.42
Rangell 2001   84  0.4439  0.0079  0.0384  0.0346  0.0584  0.04
Richter 1976   31  0.7021  0.0147  0.0453  0.0413  0.5242  0.14
Rosen 1989   23  0.7433  0.0023  0.0825  0.3318  0.3824  0.35
Rosenthal 1930   58  0.6376  0.0056  0.0383  0.0311  0.3463  0.10
Rosenthal 1931   73  0.5444  0.0071  0.0454  0.0423  0.3057  0.11
Rosenthal 1931b   74  0.5389  0.0072  0.0373  0.0323  0.2766  0.09
Rosenthal 1931c   71  0.5555  0.0068  0.0547  0.0523  0.3150  0.12
Rosenthal 1931d   76  0.5383  0.0070  0.0370  0.0325  0.2565  0.09
Rossi 2007   83  0.4956  0.0084  0.0369  0.0349  0.0679  0.04
Rubinstein 1939   54  0.6562  0.0054  0.0460  0.0413  0.3849  0.12
Rubinstein 1952   70  0.5613  0.0144  0.0543  0.0935  0.3141  0.17
Rubinstein 1966   63  0.6126  0.0043  0.0441  0.1025  0.3537  0.19
Schilhawsky 1960   9  0.808  0.035  0.1513  0.486  0.588  0.53
Shebanova 2002   7  0.814  0.043  0.193  0.618  0.485  0.54
Smith 1975   43  0.6619  0.0158  0.0371  0.0338  0.1076  0.05
Sokolov 2002   57  0.6414  0.0150  0.0546  0.0516  0.3444  0.13
Sztompka 1959   10  0.7911  0.017  0.134  0.559  0.499  0.52
Tomsic 1995   65  0.6043  0.0074  0.0455  0.0419  0.4445  0.13
Uninsky 1932   16  0.7763  0.0022  0.0820  0.4014  0.4718  0.43
Uninsky 1971   25  0.7434  0.0027  0.0622  0.3724  0.4023  0.38
Wasowski 1980   30  0.7040  0.0052  0.0545  0.0547  0.0872  0.06
Zak 1937   3  0.8227  0.0013  0.146  0.533  0.546  0.53
Zak 1951   5  0.8128  0.0014  0.187  0.533  0.554  0.54
Random 1   89  -0.2290  0.0089  0.0289  0.0256  0.0488  0.03
Random 2   88  -0.1073  0.0088  0.0288  0.0230  0.1773  0.06
Random 3   90  -0.2584  0.0090  0.0190  0.0169  0.0390  0.02

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).