Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.7320  0.0115  0.1111  0.5157  0.0529  0.16
Anderszewski 2003   28  0.6723  0.0137  0.0933  0.3647  0.0633  0.15
Ashkenazy 1981   24  0.6822  0.0118  0.0916  0.4733  0.2120  0.31
Bacha 2000   75  0.4180  0.0072  0.0474  0.0477  0.0375  0.03
Badura 1965   27  0.6756  0.0039  0.0940  0.2826  0.4218  0.34
Barbosa 1983   79  0.3360  0.0076  0.0563  0.0578  0.0368  0.04
Biret 1990   51  0.5540  0.0052  0.0751  0.0784  0.0360  0.05
Blet 2003   64  0.4949  0.0063  0.0475  0.0483  0.0382  0.03
Block 1995   23  0.6875  0.0030  0.0828  0.4016  0.2919  0.34
Blumental 1952   72  0.4350  0.0062  0.0472  0.0454  0.0573  0.04
Boshniakovich 1969   3  0.7672  0.007  0.167  0.5221  0.4511  0.48
Brailowsky 1960   54  0.5342  0.0056  0.0655  0.0662  0.0453  0.05
Bunin 1987   32  0.6618  0.0120  0.0923  0.454  0.547  0.49
Bunin 1987b   36  0.6559  0.0019  0.0824  0.454  0.545  0.49
Chiu 1999   62  0.5176  0.0057  0.0565  0.0551  0.0461  0.04
Cohen 1997   87  0.1039  0.0087  0.0287  0.0284  0.0289  0.02
Cortot 1951   9  0.7228  0.0014  0.109  0.524  0.554  0.53
Csalog 1996   85  0.2377  0.0079  0.0384  0.0358  0.0481  0.03
Czerny 1949   6  0.7352  0.006  0.1310  0.5125  0.4413  0.47
Czerny 1990   58  0.5281  0.0067  0.0656  0.0646  0.0559  0.05
Duchoud 2007   48  0.5837  0.0041  0.0744  0.1622  0.2725  0.21
Ezaki 2006   17  0.6932  0.0031  0.0737  0.3150  0.0442  0.11
Falvay 1989   84  0.2678  0.0086  0.0286  0.0287  0.0287  0.02
Farrell 1958   63  0.5063  0.0064  0.0564  0.0574  0.0465  0.04
Ferenczy 1958   57  0.5287  0.0061  0.0562  0.0566  0.0470  0.04
Fliere 1977   11  0.7212  0.0111  0.104  0.5449  0.0528  0.16
Fou 1978   37  0.6410  0.0244  0.0943  0.1843  0.0939  0.13
Francois 1956   74  0.4179  0.0075  0.0560  0.0565  0.0474  0.04
Friedman 1923   18  0.6985  0.0013  0.1021  0.4613  0.5112  0.48
Friedman 1923b   22  0.6815  0.0112  0.1019  0.4613  0.528  0.49
Friedman 1930   26  0.6790  0.0024  0.0726  0.4221  0.4415  0.43
Garcia 2007   29  0.6717  0.0143  0.1141  0.2449  0.0741  0.13
Garcia 2007b   39  0.6471  0.0042  0.1038  0.2946  0.0738  0.14
Gierzod 1998   30  0.6627  0.0136  0.0734  0.3550  0.0636  0.14
Gornostaeva 1994   56  0.5335  0.0053  0.0753  0.0781  0.0358  0.05
Groot 1988   45  0.6225  0.0146  0.0850  0.0834  0.2437  0.14
Harasiewicz 1955   2  0.792  0.192  0.352  0.596  0.503  0.54
Hatto 1993   47  0.6057  0.0034  0.0635  0.3545  0.0730  0.16
Hatto 1997   44  0.6286  0.0035  0.1031  0.3649  0.0634  0.15
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   43  0.6265  0.0032  0.0632  0.3661  0.0540  0.13
Kapell 1951   46  0.6162  0.0033  0.0639  0.2862  0.0444  0.11
Kissin 1993   12  0.7226  0.0121  0.0814  0.4840  0.1222  0.24
Kushner 1989   52  0.5569  0.0060  0.0559  0.0578  0.0366  0.04
Luisada 1991   42  0.6258  0.0048  0.0945  0.0957  0.0547  0.07
Lushtak 2004   59  0.5148  0.0058  0.0558  0.0581  0.0372  0.04
Malcuzynski 1961   33  0.663  0.074  0.1415  0.483  0.516  0.49
Magaloff 1978   68  0.4588  0.0071  0.0473  0.0480  0.0462  0.04
Magin 1975   31  0.6643  0.0028  0.0630  0.3946  0.0727  0.17
Michalowski 1933   35  0.6519  0.0125  0.0827  0.4120  0.3417  0.37
Milkina 1970   40  0.6416  0.0145  0.0754  0.0784  0.0356  0.05
Mohovich 1999   49  0.5761  0.0051  0.0847  0.0874  0.0452  0.06
Moravec 1969   78  0.3331  0.0081  0.0383  0.0372  0.0476  0.03
Morozova 2008   34  0.6541  0.0040  0.1042  0.1980  0.0346  0.08
Neighaus 1950   7  0.738  0.035  0.186  0.5315  0.469  0.49
Niedzielski 1931   50  0.5624  0.0147  0.0752  0.0771  0.0355  0.05
Ohlsson 1999   41  0.6270  0.0029  0.0729  0.4048  0.0632  0.15
Osinska 1989   19  0.6921  0.0138  0.0936  0.3270  0.0443  0.11
Pachmann 1927   61  0.5113  0.0170  0.0471  0.0440  0.1149  0.07
Paderewski 1930   65  0.4968  0.0068  0.0468  0.0474  0.0379  0.03
Perlemuter 1992   38  0.6433  0.0050  0.0946  0.0950  0.0548  0.07
Pierdomenico 2008   66  0.4547  0.0065  0.0657  0.0649  0.0650  0.06
Poblocka 1999   15  0.7011  0.0110  0.108  0.5228  0.3216  0.41
Rabcewiczowa 1932   69  0.457  0.0474  0.0566  0.0576  0.0464  0.04
Rachmaninoff 1923   21  0.699  0.0227  0.0625  0.4342  0.0926  0.20
Rangell 2001   67  0.4514  0.0155  0.0561  0.0536  0.1845  0.09
Richter 1976   1  0.801  0.221  0.223  0.567  0.591  0.57
Rosen 1989   53  0.5364  0.0054  0.0848  0.0879  0.0357  0.05
Rosenthal 1930   71  0.4454  0.0066  0.0470  0.0475  0.0383  0.03
Rosenthal 1931   80  0.3183  0.0082  0.0380  0.0380  0.0380  0.03
Rosenthal 1931b   81  0.3151  0.0083  0.0381  0.0379  0.0485  0.03
Rosenthal 1931c   83  0.2744  0.0085  0.0478  0.0478  0.0386  0.03
Rosenthal 1931d   82  0.3053  0.0084  0.0382  0.0372  0.0484  0.03
Rossi 2007   77  0.3873  0.0078  0.0477  0.0483  0.0377  0.03
Rubinstein 1939   73  0.4234  0.0073  0.0479  0.0485  0.0378  0.03
Rubinstein 1952   86  0.2236  0.0080  0.0285  0.0284  0.0390  0.02
Rubinstein 1966   70  0.4445  0.0069  0.0567  0.0567  0.0469  0.04
Schilhawsky 1960   4  0.765  0.053  0.171  0.6212  0.532  0.57
Shebanova 2002   25  0.6746  0.0026  0.0617  0.4751  0.0535  0.15
Smith 1975   55  0.5355  0.0059  0.0469  0.0454  0.0463  0.04
Sokolov 2002   60  0.5182  0.0049  0.0849  0.0865  0.0354  0.05
Sztompka 1959   14  0.7174  0.0022  0.1222  0.4565  0.0531  0.15
Tomsic 1995   76  0.3866  0.0077  0.0476  0.0468  0.0467  0.04
Uninsky 1932   5  0.7530  0.009  0.1413  0.4919  0.4214  0.45
Uninsky 1971   10  0.724  0.068  0.225  0.5416  0.4310  0.48
Wasowski 1980   13  0.716  0.0523  0.1012  0.5130  0.1721  0.29
Zak 1937   16  0.7029  0.0016  0.0818  0.4643  0.1123  0.22
Zak 1951   20  0.6984  0.0017  0.0720  0.4644  0.1024  0.21
Random 1   90  -0.1538  0.0089  0.0189  0.0115  0.3151  0.06
Random 2   88  -0.0967  0.0088  0.0188  0.0132  0.1571  0.04
Random 3   89  -0.1489  0.0090  0.0190  0.0145  0.0688  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).