Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.4017  0.014  0.154  0.5813  0.465  0.52
Anderszewski 2003   39  0.3141  0.0046  0.0649  0.0678  0.0354  0.04
Ashkenazy 1981   4  0.435  0.053  0.331  0.682  0.591  0.63
Bacha 2000   48  0.2965  0.0050  0.0648  0.0657  0.0446  0.05
Badura 1965   74  0.2125  0.0061  0.0467  0.0467  0.0376  0.03
Barbosa 1983   23  0.3374  0.0034  0.0535  0.1875  0.0342  0.07
Biret 1990   16  0.3542  0.0015  0.1612  0.4878  0.0325  0.12
Blet 2003   9  0.386  0.0510  0.1414  0.4528  0.229  0.31
Block 1995   60  0.2566  0.0040  0.0439  0.1476  0.0443  0.07
Blumental 1952   11  0.3734  0.006  0.138  0.5461  0.0516  0.16
Boshniakovich 1969   37  0.3124  0.0027  0.0926  0.3186  0.0332  0.10
Brailowsky 1960   1  0.491  0.341  0.332  0.6615  0.552  0.60
Bunin 1987   3  0.4310  0.0213  0.1111  0.4934  0.1611  0.28
Bunin 1987b   8  0.387  0.0423  0.0831  0.2565  0.0431  0.10
Chiu 1999   62  0.2551  0.0052  0.0563  0.0574  0.0350  0.04
Cohen 1997   63  0.2535  0.0038  0.0443  0.1165  0.0444  0.07
Cortot 1951   84  0.1367  0.0084  0.0377  0.0386  0.0288  0.02
Csalog 1996   54  0.2718  0.0160  0.0466  0.0481  0.0375  0.03
Czerny 1949   76  0.2023  0.0081  0.0384  0.0386  0.0283  0.02
Czerny 1990   59  0.2683  0.0065  0.0558  0.0579  0.0360  0.04
Duchoud 2007   87  0.1044  0.0079  0.0382  0.0381  0.0284  0.02
Ezaki 2006   69  0.2375  0.0077  0.0468  0.0478  0.0364  0.03
Falvay 1989   19  0.3476  0.0042  0.0538  0.1555  0.0533  0.09
Farrell 1958   88  0.0672  0.0087  0.0288  0.0290  0.0189  0.01
Ferenczy 1958   20  0.3429  0.0012  0.1115  0.4338  0.1910  0.29
Fliere 1977   35  0.3184  0.0049  0.0845  0.0887  0.0347  0.05
Fou 1978   43  0.3058  0.0028  0.0929  0.2772  0.0430  0.10
Francois 1956   75  0.2177  0.0066  0.0374  0.0384  0.0377  0.03
Friedman 1923   47  0.2952  0.0033  0.0627  0.3175  0.0429  0.11
Friedman 1923b   52  0.2736  0.0030  0.0530  0.2655  0.0527  0.11
Friedman 1930   33  0.3170  0.0011  0.1310  0.5037  0.208  0.32
Garcia 2007   81  0.1789  0.0080  0.0378  0.0384  0.0285  0.02
Garcia 2007b   67  0.2449  0.0074  0.0557  0.0587  0.0278  0.03
Gierzod 1998   15  0.3628  0.0026  0.0820  0.3986  0.0234  0.09
Gornostaeva 1994   32  0.3253  0.0045  0.0747  0.0785  0.0259  0.04
Groot 1988   5  0.4113  0.017  0.145  0.5660  0.0514  0.17
Harasiewicz 1955   38  0.3146  0.0048  0.0650  0.0686  0.0362  0.04
Hatto 1993   40  0.3190  0.0019  0.0917  0.4280  0.0328  0.11
Hatto 1997   34  0.3169  0.0020  0.0919  0.3978  0.0424  0.12
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   42  0.3078  0.0025  0.0723  0.3674  0.0423  0.12
Kapell 1951   80  0.1819  0.0182  0.0383  0.0386  0.0281  0.02
Kissin 1993   71  0.2385  0.0064  0.0651  0.0683  0.0353  0.04
Kushner 1989   51  0.2727  0.0058  0.0556  0.0587  0.0268  0.03
Luisada 1991   2  0.442  0.122  0.353  0.6313  0.513  0.57
Lushtak 2004   55  0.2747  0.0054  0.0465  0.0476  0.0458  0.04
Malcuzynski 1961   57  0.2621  0.0171  0.0469  0.0480  0.0270  0.03
Magaloff 1978   17  0.3579  0.0021  0.0822  0.3683  0.0236  0.08
Magin 1975   18  0.3531  0.0032  0.0633  0.1977  0.0337  0.08
Michalowski 1933   83  0.1438  0.0078  0.0472  0.0478  0.0274  0.03
Milkina 1970   12  0.364  0.0616  0.1424  0.3666  0.0522  0.13
Mohovich 1999   10  0.3722  0.0114  0.1313  0.4777  0.0420  0.14
Moravec 1969   14  0.3654  0.0029  0.0825  0.3168  0.0426  0.11
Morozova 2008   65  0.248  0.0337  0.0544  0.0885  0.0349  0.05
Neighaus 1950   68  0.2432  0.0059  0.0562  0.0572  0.0361  0.04
Niedzielski 1931   49  0.293  0.105  0.179  0.5210  0.436  0.47
Ohlsson 1999   73  0.2271  0.0063  0.0470  0.0487  0.0273  0.03
Osinska 1989   70  0.2380  0.0068  0.0380  0.0377  0.0365  0.03
Pachmann 1927   85  0.1040  0.0086  0.0286  0.0285  0.0282  0.02
Paderewski 1930   78  0.1943  0.0073  0.0473  0.0469  0.0452  0.04
Perlemuter 1992   22  0.3339  0.0043  0.0640  0.1467  0.0440  0.07
Pierdomenico 2008   77  0.1968  0.0085  0.0381  0.0383  0.0280  0.02
Poblocka 1999   30  0.3250  0.0047  0.0746  0.0765  0.0545  0.06
Rabcewiczowa 1932   56  0.2655  0.0062  0.0560  0.0571  0.0351  0.04
Rachmaninoff 1923   13  0.3616  0.019  0.177  0.5530  0.287  0.39
Rangell 2001   79  0.1848  0.0083  0.0285  0.0284  0.0287  0.02
Richter 1976   61  0.2557  0.0072  0.0375  0.0383  0.0372  0.03
Rosen 1989   46  0.2961  0.0018  0.1118  0.3951  0.0519  0.14
Rosenthal 1930   7  0.399  0.028  0.146  0.5514  0.554  0.55
Rosenthal 1931   25  0.3245  0.0031  0.0532  0.2444  0.1017  0.15
Rosenthal 1931b   31  0.3281  0.0024  0.0728  0.2939  0.1912  0.23
Rosenthal 1931c   21  0.3330  0.0022  0.0816  0.4247  0.0913  0.19
Rosenthal 1931d   24  0.3259  0.0041  0.0537  0.1743  0.1221  0.14
Rossi 2007   86  0.1073  0.0088  0.0287  0.0288  0.0279  0.02
Rubinstein 1939   58  0.2611  0.0276  0.0561  0.0585  0.0267  0.03
Rubinstein 1952   50  0.2814  0.0175  0.0652  0.0683  0.0363  0.04
Rubinstein 1966   44  0.3012  0.0157  0.0553  0.0585  0.0355  0.04
Schilhawsky 1960   53  0.2737  0.0051  0.0564  0.0578  0.0356  0.04
Shebanova 2002   41  0.3033  0.0017  0.0821  0.3647  0.0715  0.16
Smith 1975   29  0.3282  0.0035  0.0634  0.1880  0.0341  0.07
Sokolov 2002   66  0.2462  0.0056  0.0555  0.0581  0.0266  0.03
Sztompka 1959   26  0.3215  0.0144  0.0741  0.1461  0.0538  0.08
Tomsic 1995   36  0.3120  0.0155  0.0554  0.0567  0.0548  0.05
Uninsky 1932   45  0.3026  0.0053  0.0559  0.0563  0.0457  0.04
Uninsky 1971   28  0.3256  0.0039  0.0536  0.1875  0.0439  0.08
Wasowski 1980   27  0.3260  0.0036  0.0542  0.1477  0.0535  0.08
Zak 1937   72  0.2386  0.0070  0.0471  0.0484  0.0369  0.03
Zak 1951   64  0.2587  0.0069  0.0376  0.0382  0.0371  0.03
Random 1   89  -0.0863  0.0089  0.0289  0.0283  0.0286  0.02
Random 2   82  0.1464  0.0067  0.0379  0.031  0.6318  0.14
Random 3   90  -0.1588  0.0090  0.0190  0.0189  0.0190  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).