Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.2081  0.0067  0.0751  0.0785  0.0360  0.05
Anderszewski 2003   76  0.1282  0.0077  0.0658  0.0669  0.0457  0.05
Ashkenazy 1981   20  0.457  0.0416  0.0915  0.6335  0.3822  0.49
Bacha 2000   77  0.1045  0.0076  0.0475  0.0479  0.0272  0.03
Badura 1965   71  0.1671  0.0069  0.0471  0.0464  0.0470  0.04
Barbosa 1983   31  0.3825  0.0028  0.1418  0.5711  0.5913  0.58
Biret 1990   58  0.2555  0.0056  0.0560  0.0536  0.3445  0.13
Blet 2003   19  0.4510  0.0122  0.1029  0.4434  0.3828  0.41
Block 1995   33  0.3767  0.0040  0.1136  0.3150  0.0643  0.14
Blumental 1952   51  0.3016  0.0136  0.0739  0.2829  0.3135  0.29
Boshniakovich 1969   25  0.4156  0.0030  0.1230  0.4336  0.2934  0.35
Brailowsky 1960   59  0.2474  0.0057  0.0652  0.0651  0.0752  0.06
Bunin 1987   12  0.479  0.029  0.1411  0.694  0.679  0.68
Bunin 1987b   14  0.4734  0.0011  0.1312  0.694  0.6610  0.67
Chiu 1999   7  0.494  0.092  0.202  0.7910  0.673  0.73
Cohen 1997   74  0.1431  0.0075  0.0477  0.0470  0.0377  0.03
Cortot 1951   78  0.0768  0.0081  0.0283  0.0286  0.0288  0.02
Csalog 1996   52  0.3019  0.0151  0.0568  0.0542  0.1548  0.09
Czerny 1949   86  0.0073  0.0088  0.0287  0.0279  0.0386  0.02
Czerny 1990   15  0.4661  0.0019  0.0913  0.6720  0.6811  0.67
Duchoud 2007   34  0.3749  0.0039  0.0935  0.3238  0.2136  0.26
Ezaki 2006   81  0.0566  0.0083  0.0378  0.0382  0.0283  0.02
Falvay 1989   63  0.2142  0.0059  0.0566  0.0581  0.0366  0.04
Farrell 1958   54  0.2957  0.0042  0.0844  0.1625  0.3837  0.25
Ferenczy 1958   87  -0.0151  0.0079  0.0381  0.0352  0.0759  0.05
Fliere 1977   17  0.4641  0.0021  0.1021  0.5541  0.3525  0.44
Fou 1978   60  0.2359  0.0054  0.0562  0.0575  0.0368  0.04
Francois 1956   72  0.1630  0.0072  0.0472  0.0469  0.0382  0.03
Friedman 1923   10  0.4746  0.008  0.125  0.7513  0.696  0.72
Friedman 1923b   4  0.4915  0.015  0.233  0.7812  0.732  0.75
Friedman 1930   5  0.493  0.144  0.264  0.759  0.715  0.73
Garcia 2007   24  0.4233  0.0025  0.0917  0.6116  0.5116  0.56
Garcia 2007b   21  0.4443  0.0026  0.1024  0.5314  0.6114  0.57
Gierzod 1998   85  0.0054  0.0080  0.0382  0.0383  0.0287  0.02
Gornostaeva 1994   70  0.1769  0.0071  0.0657  0.0683  0.0278  0.03
Groot 1988   13  0.4770  0.0020  0.0922  0.5433  0.2529  0.37
Harasiewicz 1955   39  0.3638  0.0043  0.0742  0.1847  0.0647  0.10
Hatto 1993   29  0.3911  0.0117  0.1219  0.5727  0.3524  0.45
Hatto 1997   50  0.3175  0.0037  0.0841  0.2444  0.1142  0.16
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   26  0.4087  0.0018  0.0920  0.5528  0.3626  0.44
Kapell 1951   1  0.561  0.231  0.231  0.793  0.711  0.75
Kissin 1993   48  0.3152  0.0052  0.0567  0.0557  0.0754  0.06
Kushner 1989   44  0.3583  0.0050  0.0946  0.0953  0.0649  0.07
Luisada 1991   16  0.465  0.0613  0.1328  0.4528  0.4127  0.43
Lushtak 2004   64  0.2137  0.0063  0.0654  0.0677  0.0371  0.04
Malcuzynski 1961   45  0.3360  0.0047  0.0849  0.0847  0.0750  0.07
Magaloff 1978   30  0.3923  0.0031  0.1127  0.4638  0.2733  0.35
Magin 1975   53  0.2950  0.0061  0.0470  0.0449  0.0853  0.06
Michalowski 1933   22  0.4335  0.0027  0.1123  0.5418  0.4720  0.50
Milkina 1970   68  0.1814  0.0160  0.0474  0.0450  0.0656  0.05
Mohovich 1999   55  0.2822  0.0055  0.0563  0.0559  0.0561  0.05
Moravec 1969   41  0.3528  0.0044  0.0943  0.1735  0.1939  0.18
Morozova 2008   46  0.3332  0.0032  0.1031  0.4040  0.1338  0.23
Neighaus 1950   42  0.3547  0.0048  0.0847  0.0870  0.0455  0.06
Niedzielski 1931   6  0.4924  0.0012  0.146  0.7410  0.628  0.68
Ohlsson 1999   36  0.3718  0.0141  0.0940  0.2545  0.0744  0.13
Osinska 1989   61  0.2253  0.0064  0.0469  0.0460  0.0464  0.04
Pachmann 1927   37  0.3748  0.0034  0.0833  0.3735  0.3632  0.36
Paderewski 1930   38  0.3664  0.0045  0.0945  0.0935  0.3241  0.17
Perlemuter 1992   40  0.3527  0.0049  0.0750  0.0747  0.0651  0.06
Pierdomenico 2008   28  0.3921  0.0129  0.1332  0.4017  0.5023  0.45
Poblocka 1999   32  0.3826  0.0033  0.0934  0.3626  0.3730  0.36
Rabcewiczowa 1932   69  0.1788  0.0073  0.0476  0.0476  0.0374  0.03
Rachmaninoff 1923   3  0.512  0.163  0.228  0.737  0.744  0.73
Rangell 2001   47  0.3229  0.0053  0.0655  0.0668  0.0562  0.05
Richter 1976   8  0.486  0.066  0.159  0.7227  0.667  0.69
Rosen 1989   43  0.3544  0.0038  0.0937  0.3055  0.0446  0.11
Rosenthal 1930   49  0.3139  0.0046  0.0848  0.0832  0.4040  0.18
Rosenthal 1931   88  -0.0484  0.0084  0.0286  0.0282  0.0285  0.02
Rosenthal 1931b   82  0.0389  0.0082  0.0380  0.0376  0.0380  0.03
Rosenthal 1931c   75  0.1377  0.0074  0.0473  0.0479  0.0281  0.03
Rosenthal 1931d   79  0.0678  0.0078  0.0379  0.0378  0.0379  0.03
Rossi 2007   84  0.0185  0.0085  0.0284  0.0247  0.0673  0.03
Rubinstein 1939   66  0.2062  0.0065  0.0561  0.0563  0.0467  0.04
Rubinstein 1952   56  0.2736  0.0058  0.0653  0.0664  0.0463  0.05
Rubinstein 1966   57  0.2572  0.0062  0.0564  0.0561  0.0558  0.05
Schilhawsky 1960   27  0.3920  0.0123  0.0926  0.485  0.6515  0.56
Shebanova 2002   9  0.4813  0.017  0.1416  0.6237  0.3921  0.49
Smith 1975   80  0.0679  0.0087  0.0285  0.0288  0.0284  0.02
Sokolov 2002   65  0.2176  0.0066  0.0656  0.0662  0.0365  0.04
Sztompka 1959   18  0.4617  0.0115  0.1014  0.6424  0.4617  0.54
Tomsic 1995   62  0.2265  0.0068  0.0559  0.0575  0.0369  0.04
Uninsky 1932   11  0.4740  0.0014  0.147  0.7326  0.4018  0.54
Uninsky 1971   73  0.1686  0.0070  0.0565  0.0582  0.0275  0.03
Wasowski 1980   2  0.538  0.0210  0.1310  0.7125  0.5412  0.62
Zak 1937   23  0.4212  0.0124  0.1025  0.5116  0.5219  0.51
Zak 1951   35  0.3780  0.0035  0.0838  0.3022  0.4431  0.36
Random 1   90  -0.1190  0.0089  0.0189  0.0184  0.0289  0.01
Random 2   83  0.0163  0.0086  0.0288  0.0265  0.0476  0.03
Random 3   89  -0.0558  0.0090  0.0190  0.0173  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).