Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.3059  0.0029  0.1129  0.3759  0.0436  0.12
Anderszewski 2003   72  0.2187  0.0073  0.0379  0.0384  0.0374  0.03
Ashkenazy 1981   3  0.443  0.112  0.191  0.7120  0.514  0.60
Bacha 2000   75  0.1952  0.0063  0.0463  0.0468  0.0452  0.04
Badura 1965   77  0.1931  0.0074  0.0373  0.0368  0.0377  0.03
Barbosa 1983   25  0.3530  0.0022  0.1022  0.5053  0.0718  0.19
Biret 1990   43  0.3040  0.0037  0.0936  0.3169  0.0440  0.11
Blet 2003   8  0.4113  0.0112  0.1013  0.5622  0.4411  0.50
Block 1995   39  0.3166  0.0036  0.0934  0.3461  0.0532  0.13
Blumental 1952   32  0.3416  0.019  0.1518  0.5237  0.2013  0.32
Boshniakovich 1969   23  0.3617  0.0123  0.0920  0.5168  0.0429  0.14
Brailowsky 1960   21  0.3623  0.008  0.139  0.6020  0.565  0.58
Bunin 1987   2  0.4511  0.017  0.155  0.6715  0.517  0.58
Bunin 1987b   7  0.4215  0.0115  0.1111  0.5821  0.4212  0.49
Chiu 1999   19  0.3710  0.0218  0.1016  0.5341  0.1316  0.26
Cohen 1997   74  0.1964  0.0057  0.0465  0.0480  0.0379  0.03
Cortot 1951   85  0.1079  0.0086  0.0376  0.0389  0.0188  0.02
Csalog 1996   51  0.2834  0.0058  0.0459  0.0461  0.0561  0.04
Czerny 1949   86  0.1080  0.0087  0.0387  0.0390  0.0186  0.02
Czerny 1990   22  0.3641  0.0032  0.0833  0.3558  0.0534  0.13
Duchoud 2007   66  0.2349  0.0066  0.0467  0.0462  0.0562  0.04
Ezaki 2006   83  0.1462  0.0084  0.0470  0.0485  0.0265  0.03
Falvay 1989   54  0.2886  0.0048  0.0646  0.0687  0.0268  0.03
Farrell 1958   80  0.1876  0.0081  0.0374  0.0386  0.0285  0.02
Ferenczy 1958   82  0.1612  0.0141  0.0642  0.1247  0.0841  0.10
Fliere 1977   13  0.3967  0.0026  0.1026  0.4465  0.0430  0.13
Fou 1978   60  0.2658  0.0046  0.0645  0.0680  0.0354  0.04
Francois 1956   78  0.1982  0.0082  0.0468  0.0479  0.0383  0.03
Friedman 1923   16  0.3860  0.0014  0.097  0.6319  0.529  0.57
Friedman 1923b   15  0.3827  0.0010  0.128  0.6318  0.548  0.58
Friedman 1930   9  0.406  0.035  0.324  0.6911  0.582  0.63
Garcia 2007   49  0.2943  0.0055  0.0556  0.0550  0.0550  0.05
Garcia 2007b   31  0.3424  0.0040  0.0839  0.2042  0.1224  0.15
Gierzod 1998   79  0.1890  0.0068  0.0385  0.0384  0.0376  0.03
Gornostaeva 1994   62  0.2483  0.0070  0.0377  0.0373  0.0380  0.03
Groot 1988   5  0.4422  0.006  0.126  0.6740  0.1514  0.32
Harasiewicz 1955   33  0.3342  0.0038  0.0838  0.2275  0.0442  0.09
Hatto 1993   28  0.3520  0.0017  0.1115  0.5558  0.0620  0.18
Hatto 1997   40  0.3175  0.0028  0.1127  0.4276  0.0431  0.13
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   27  0.3570  0.0021  0.1019  0.5262  0.0523  0.16
Kapell 1951   17  0.374  0.1011  0.0937  0.2975  0.0437  0.11
Kissin 1993   58  0.2789  0.0060  0.0381  0.0370  0.0559  0.04
Kushner 1989   41  0.3136  0.0042  0.0643  0.1180  0.0444  0.07
Luisada 1991   1  0.451  0.321  0.313  0.7014  0.523  0.60
Lushtak 2004   64  0.2447  0.0062  0.0383  0.0386  0.0378  0.03
Malcuzynski 1961   45  0.3021  0.0054  0.0555  0.0585  0.0356  0.04
Magaloff 1978   20  0.3778  0.0024  0.0821  0.5049  0.0521  0.16
Magin 1975   37  0.3268  0.0049  0.0647  0.0674  0.0446  0.05
Michalowski 1933   52  0.2845  0.0051  0.0648  0.0664  0.0549  0.05
Milkina 1970   57  0.2750  0.0045  0.0649  0.0679  0.0355  0.04
Mohovich 1999   35  0.3333  0.0035  0.0935  0.3355  0.0533  0.13
Moravec 1969   24  0.3648  0.0033  0.0830  0.3765  0.0525  0.14
Morozova 2008   50  0.299  0.0239  0.0940  0.2047  0.0638  0.11
Neighaus 1950   48  0.2965  0.0053  0.0554  0.0579  0.0364  0.04
Niedzielski 1931   12  0.392  0.173  0.1910  0.596  0.576  0.58
Ohlsson 1999   46  0.3046  0.0050  0.0652  0.0650  0.0548  0.05
Osinska 1989   69  0.2356  0.0071  0.0460  0.0479  0.0366  0.03
Pachmann 1927   65  0.2369  0.0075  0.0382  0.0366  0.0558  0.04
Paderewski 1930   56  0.2738  0.0061  0.0384  0.0352  0.0657  0.04
Perlemuter 1992   30  0.3429  0.0043  0.0641  0.1367  0.0543  0.08
Pierdomenico 2008   47  0.2973  0.0056  0.0466  0.0472  0.0453  0.04
Poblocka 1999   29  0.3577  0.0034  0.0731  0.3672  0.0435  0.12
Rabcewiczowa 1932   71  0.2263  0.0077  0.0458  0.0485  0.0371  0.03
Rachmaninoff 1923   4  0.445  0.064  0.302  0.707  0.601  0.65
Rangell 2001   61  0.2551  0.0076  0.0380  0.0382  0.0287  0.02
Richter 1976   18  0.3719  0.0031  0.0828  0.3762  0.0526  0.14
Rosen 1989   38  0.3226  0.0025  0.0925  0.4864  0.0428  0.14
Rosenthal 1930   26  0.3528  0.0019  0.0817  0.5320  0.5710  0.55
Rosenthal 1931   84  0.1453  0.0083  0.0553  0.0564  0.0460  0.04
Rosenthal 1931b   81  0.1788  0.0079  0.0457  0.0471  0.0381  0.03
Rosenthal 1931c   67  0.2357  0.0047  0.0651  0.0661  0.0551  0.05
Rosenthal 1931d   73  0.1981  0.0078  0.0461  0.0458  0.0563  0.04
Rossi 2007   88  0.0571  0.0088  0.0288  0.0287  0.0284  0.02
Rubinstein 1939   68  0.2335  0.0072  0.0464  0.0486  0.0270  0.03
Rubinstein 1952   53  0.2825  0.0065  0.0371  0.0379  0.0382  0.03
Rubinstein 1966   55  0.2774  0.0064  0.0469  0.0476  0.0375  0.03
Schilhawsky 1960   34  0.337  0.0330  0.0832  0.3633  0.1717  0.25
Shebanova 2002   10  0.3955  0.0013  0.0814  0.5556  0.0619  0.18
Smith 1975   76  0.1984  0.0080  0.0378  0.0380  0.0369  0.03
Sokolov 2002   70  0.2372  0.0067  0.0372  0.0382  0.0367  0.03
Sztompka 1959   11  0.3914  0.0120  0.0923  0.5059  0.0522  0.16
Tomsic 1995   59  0.2639  0.0069  0.0462  0.0482  0.0372  0.03
Uninsky 1932   14  0.3818  0.0027  0.1224  0.4965  0.0427  0.14
Uninsky 1971   63  0.2454  0.0059  0.0375  0.0381  0.0373  0.03
Wasowski 1980   6  0.428  0.0316  0.1412  0.5738  0.1615  0.30
Zak 1937   36  0.3332  0.0044  0.0644  0.1171  0.0445  0.07
Zak 1951   42  0.3144  0.0052  0.0650  0.0670  0.0447  0.05
Random 1   89  -0.0961  0.0089  0.0189  0.0188  0.0189  0.01
Random 2   87  0.0737  0.0085  0.0386  0.0311  0.4039  0.11
Random 3   90  -0.1085  0.0090  0.0190  0.0188  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).