Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.3986  0.0066  0.0555  0.0574  0.0366  0.04
Anderszewski 2003   78  0.3365  0.0070  0.0378  0.0360  0.0380  0.03
Ashkenazy 1981   22  0.5213  0.0110  0.0919  0.3545  0.0934  0.18
Bacha 2000   70  0.3682  0.0079  0.0467  0.0471  0.0373  0.03
Badura 1965   75  0.3468  0.0076  0.0462  0.0479  0.0383  0.03
Barbosa 1983   68  0.3844  0.0062  0.0457  0.0479  0.0379  0.03
Biret 1990   49  0.4349  0.0060  0.0460  0.0457  0.0470  0.04
Blet 2003   51  0.4346  0.0067  0.0458  0.0463  0.0564  0.04
Block 1995   48  0.4420  0.0050  0.0551  0.0545  0.1047  0.07
Blumental 1952   63  0.3917  0.0122  0.0543  0.0928  0.2438  0.15
Boshniakovich 1969   14  0.5431  0.0015  0.0630  0.2626  0.3719  0.31
Brailowsky 1960   20  0.5342  0.0023  0.0620  0.348  0.5010  0.41
Bunin 1987   18  0.5318  0.0134  0.0927  0.3143  0.1428  0.21
Bunin 1987b   17  0.5343  0.0033  0.0826  0.3142  0.1427  0.21
Chiu 1999   28  0.496  0.058  0.199  0.4915  0.515  0.50
Cohen 1997   85  0.1937  0.0087  0.0372  0.0374  0.0384  0.03
Cortot 1951   79  0.3269  0.0081  0.0286  0.0280  0.0389  0.02
Csalog 1996   61  0.4050  0.0078  0.0379  0.0355  0.0663  0.04
Czerny 1949   53  0.4370  0.0064  0.0456  0.0451  0.0657  0.05
Czerny 1990   9  0.5848  0.0013  0.0712  0.4022  0.3015  0.35
Duchoud 2007   64  0.3959  0.0074  0.0376  0.0386  0.0382  0.03
Ezaki 2006   55  0.4363  0.0038  0.0537  0.1457  0.0544  0.08
Falvay 1989   15  0.5478  0.0019  0.0716  0.3725  0.2520  0.30
Farrell 1958   32  0.4945  0.0042  0.0538  0.1212  0.4426  0.23
Ferenczy 1958   83  0.2671  0.0082  0.0287  0.0272  0.0387  0.02
Fliere 1977   12  0.5787  0.0018  0.0615  0.3842  0.1130  0.20
Fou 1978   37  0.4841  0.0030  0.0725  0.3138  0.2222  0.26
Francois 1956   25  0.5021  0.0031  0.0822  0.3327  0.2821  0.30
Friedman 1923   87  0.1666  0.0086  0.0383  0.0361  0.0572  0.04
Friedman 1923b   86  0.1856  0.0085  0.0377  0.0364  0.0568  0.04
Friedman 1930   76  0.3347  0.0065  0.0554  0.0571  0.0365  0.04
Garcia 2007   82  0.2851  0.0077  0.0381  0.0345  0.1058  0.05
Garcia 2007b   84  0.2475  0.0084  0.0374  0.0360  0.0485  0.03
Gierzod 1998   59  0.4288  0.0068  0.0459  0.0480  0.0381  0.03
Gornostaeva 1994   35  0.4857  0.0063  0.0461  0.0454  0.0469  0.04
Groot 1988   2  0.6429  0.006  0.175  0.5213  0.456  0.48
Harasiewicz 1955   36  0.4828  0.0012  0.0814  0.3938  0.1823  0.26
Hatto 1993   73  0.3489  0.0053  0.0466  0.0453  0.0571  0.04
Hatto 1997   72  0.3483  0.0055  0.0746  0.0769  0.0454  0.05
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   71  0.3576  0.0054  0.0553  0.0561  0.0553  0.05
Kapell 1951   23  0.517  0.0416  0.0633  0.1943  0.1237  0.15
Kissin 1993   21  0.529  0.0221  0.0610  0.4235  0.2517  0.32
Kushner 1989   24  0.5173  0.0045  0.0445  0.0754  0.0451  0.05
Luisada 1991   40  0.4624  0.0052  0.0470  0.0456  0.0559  0.04
Lushtak 2004   57  0.4236  0.0044  0.0444  0.0850  0.0548  0.06
Malcuzynski 1961   3  0.6411  0.027  0.176  0.5119  0.399  0.45
Magaloff 1978   6  0.628  0.035  0.163  0.5514  0.378  0.45
Magin 1975   38  0.4730  0.0025  0.0636  0.1530  0.2233  0.18
Michalowski 1933   80  0.2954  0.0072  0.0380  0.0377  0.0477  0.03
Milkina 1970   16  0.5340  0.0027  0.0723  0.3222  0.3616  0.34
Mohovich 1999   19  0.5352  0.0029  0.0821  0.3337  0.1825  0.24
Moravec 1969   8  0.595  0.059  0.118  0.507  0.514  0.50
Morozova 2008   30  0.4938  0.0024  0.0618  0.3643  0.1031  0.19
Neighaus 1950   11  0.5860  0.0014  0.0713  0.3960  0.0539  0.14
Niedzielski 1931   26  0.5026  0.0028  0.0729  0.272  0.5911  0.40
Ohlsson 1999   39  0.4733  0.0058  0.0463  0.0460  0.0462  0.04
Osinska 1989   54  0.4334  0.0069  0.0469  0.0449  0.0650  0.05
Pachmann 1927   56  0.4367  0.0043  0.0540  0.1029  0.2736  0.16
Paderewski 1930   58  0.4222  0.0071  0.0382  0.0364  0.0376  0.03
Perlemuter 1992   44  0.4635  0.0035  0.0832  0.2142  0.1235  0.16
Pierdomenico 2008   41  0.4627  0.0026  0.0728  0.3111  0.4413  0.37
Poblocka 1999   50  0.4355  0.0059  0.0373  0.0366  0.0474  0.03
Rabcewiczowa 1932   74  0.3490  0.0083  0.0384  0.0378  0.0375  0.03
Rachmaninoff 1923   7  0.601  0.311  0.311  0.721  0.771  0.74
Rangell 2001   43  0.4625  0.0041  0.0442  0.0952  0.0449  0.06
Richter 1976   27  0.5014  0.0120  0.0617  0.3619  0.3614  0.36
Rosen 1989   46  0.4453  0.0061  0.0468  0.0466  0.0467  0.04
Rosenthal 1930   34  0.4823  0.0036  0.0634  0.1920  0.4918  0.31
Rosenthal 1931   77  0.3377  0.0056  0.0552  0.0526  0.2840  0.12
Rosenthal 1931b   65  0.3885  0.0040  0.0539  0.1221  0.3729  0.21
Rosenthal 1931c   45  0.4564  0.0048  0.0647  0.0634  0.2341  0.12
Rosenthal 1931d   52  0.4384  0.0037  0.0635  0.1613  0.4024  0.25
Rossi 2007   88  0.0991  0.0088  0.0288  0.0284  0.0286  0.02
Rubinstein 1939   81  0.2839  0.0080  0.0385  0.0337  0.1745  0.07
Rubinstein 1952   31  0.4932  0.0047  0.0549  0.0529  0.2442  0.11
Rubinstein 1966   60  0.4179  0.0039  0.0541  0.0960  0.0546  0.07
Schilhawsky 1960   13  0.5512  0.0211  0.0711  0.417  0.527  0.46
Shebanova 2002   29  0.4915  0.0146  0.0550  0.0563  0.0556  0.05
Smith 1975   69  0.3772  0.0075  0.0464  0.0470  0.0461  0.04
Sokolov 2002   42  0.4658  0.0057  0.0471  0.0454  0.0560  0.04
Sztompka 1959   67  0.3819  0.0051  0.0465  0.0452  0.0652  0.05
Tomsic 1995   33  0.4861  0.0032  0.0931  0.2148  0.0543  0.10
Uninsky 1932   47  0.4416  0.0149  0.0548  0.0564  0.0555  0.05
Uninsky 1971   66  0.3874  0.0073  0.0375  0.0373  0.0378  0.03
Wasowski 1980   10  0.5810  0.0217  0.0624  0.317  0.4712  0.38
Zak 1937   4  0.643  0.063  0.284  0.557  0.572  0.56
Zak 1951   5  0.632  0.202  0.247  0.519  0.543  0.52
Average   1  0.694  0.054  0.242  0.7259  0.0532  0.19
Random 1   91  -0.1080  0.0091  0.0191  0.0184  0.0290  0.01
Random 2   89  0.0081  0.0089  0.0289  0.0274  0.0388  0.02
Random 3   90  -0.0162  0.0090  0.0190  0.0177  0.0291  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).