Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.2082  0.0068  0.0752  0.0786  0.0359  0.05
Anderszewski 2003   77  0.1283  0.0078  0.0559  0.0570  0.0469  0.04
Ashkenazy 1981   21  0.457  0.0417  0.0916  0.6336  0.3822  0.49
Bacha 2000   78  0.1046  0.0077  0.0476  0.0480  0.0273  0.03
Badura 1965   72  0.1671  0.0070  0.0472  0.0465  0.0471  0.04
Barbosa 1983   32  0.3825  0.0029  0.1419  0.5712  0.5913  0.58
Biret 1990   59  0.2555  0.0057  0.0561  0.0537  0.3446  0.13
Blet 2003   20  0.4512  0.0123  0.0930  0.4435  0.3828  0.41
Block 1995   34  0.3767  0.0041  0.1137  0.3151  0.0644  0.14
Blumental 1952   52  0.3016  0.0137  0.0740  0.2830  0.3136  0.29
Boshniakovich 1969   26  0.4157  0.0031  0.1231  0.4337  0.2934  0.35
Brailowsky 1960   60  0.2474  0.0058  0.0653  0.0652  0.0753  0.06
Bunin 1987   13  0.4710  0.0210  0.1412  0.695  0.679  0.68
Bunin 1987b   15  0.4734  0.0012  0.1313  0.695  0.6610  0.67
Chiu 1999   8  0.498  0.033  0.203  0.7911  0.673  0.73
Cohen 1997   75  0.1432  0.0076  0.0478  0.0471  0.0378  0.03
Cortot 1951   79  0.0775  0.0082  0.0284  0.0287  0.0290  0.02
Csalog 1996   53  0.3018  0.0152  0.0569  0.0543  0.1549  0.09
Czerny 1949   87  0.0072  0.0089  0.0288  0.0280  0.0387  0.02
Czerny 1990   16  0.4663  0.0020  0.0914  0.6721  0.6811  0.67
Duchoud 2007   35  0.3750  0.0040  0.0936  0.3239  0.2137  0.26
Ezaki 2006   82  0.0565  0.0084  0.0379  0.0383  0.0284  0.02
Falvay 1989   64  0.2143  0.0060  0.0567  0.0582  0.0365  0.04
Farrell 1958   55  0.2958  0.0043  0.0845  0.1626  0.3838  0.25
Ferenczy 1958   88  -0.0152  0.0080  0.0382  0.0353  0.0670  0.04
Fliere 1977   18  0.4642  0.0022  0.1022  0.5542  0.3525  0.44
Fou 1978   61  0.2360  0.0055  0.0563  0.0576  0.0367  0.04
Francois 1956   73  0.1631  0.0073  0.0473  0.0470  0.0383  0.03
Friedman 1923   11  0.4747  0.009  0.126  0.7514  0.696  0.72
Friedman 1923b   5  0.4922  0.006  0.224  0.7813  0.732  0.75
Friedman 1930   6  0.493  0.125  0.265  0.7510  0.715  0.73
Garcia 2007   25  0.4236  0.0026  0.0918  0.6117  0.5116  0.56
Garcia 2007b   22  0.4444  0.0027  0.1025  0.5315  0.6114  0.57
Gierzod 1998   86  0.0054  0.0081  0.0383  0.0384  0.0288  0.02
Gornostaeva 1994   71  0.1769  0.0072  0.0658  0.0684  0.0279  0.03
Groot 1988   14  0.4770  0.0021  0.0923  0.5434  0.2529  0.37
Harasiewicz 1955   40  0.3638  0.0044  0.0743  0.1848  0.0648  0.10
Hatto 1993   30  0.3914  0.0118  0.1220  0.5728  0.3524  0.45
Hatto 1997   51  0.3176  0.0038  0.0842  0.2445  0.1143  0.16
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   27  0.4088  0.0019  0.0921  0.5529  0.3626  0.44
Kapell 1951   2  0.562  0.142  0.222  0.794  0.711  0.75
Kissin 1993   49  0.3156  0.0053  0.0568  0.0558  0.0755  0.06
Kushner 1989   45  0.3584  0.0051  0.0847  0.0854  0.0650  0.07
Luisada 1991   17  0.465  0.0614  0.1329  0.4529  0.4127  0.43
Lushtak 2004   65  0.2139  0.0064  0.0655  0.0678  0.0372  0.04
Malcuzynski 1961   46  0.3361  0.0048  0.0750  0.0748  0.0751  0.07
Magaloff 1978   31  0.3924  0.0032  0.1128  0.4639  0.2733  0.35
Magin 1975   54  0.2951  0.0062  0.0471  0.0450  0.0854  0.06
Michalowski 1933   23  0.4337  0.0028  0.1124  0.5419  0.4720  0.50
Milkina 1970   69  0.1813  0.0161  0.0475  0.0451  0.0657  0.05
Mohovich 1999   56  0.2823  0.0056  0.0564  0.0560  0.0560  0.05
Moravec 1969   42  0.3529  0.0045  0.0944  0.1736  0.1940  0.18
Morozova 2008   47  0.3333  0.0033  0.1032  0.4041  0.1339  0.23
Neighaus 1950   43  0.3548  0.0049  0.0848  0.0871  0.0456  0.06
Niedzielski 1931   7  0.4926  0.0013  0.147  0.7411  0.628  0.68
Ohlsson 1999   37  0.3717  0.0142  0.0941  0.2546  0.0745  0.13
Osinska 1989   62  0.2253  0.0065  0.0470  0.0461  0.0463  0.04
Pachmann 1927   38  0.3749  0.0035  0.0834  0.3736  0.3632  0.36
Paderewski 1930   39  0.3664  0.0046  0.0846  0.0836  0.3242  0.16
Perlemuter 1992   41  0.3528  0.0050  0.0751  0.0748  0.0652  0.06
Pierdomenico 2008   29  0.3921  0.0130  0.1333  0.4018  0.5023  0.45
Poblocka 1999   33  0.3827  0.0034  0.0935  0.3627  0.3730  0.36
Rabcewiczowa 1932   70  0.1789  0.0074  0.0477  0.0477  0.0375  0.03
Rachmaninoff 1923   4  0.514  0.104  0.219  0.738  0.744  0.73
Rangell 2001   48  0.3230  0.0054  0.0656  0.0669  0.0561  0.05
Richter 1976   9  0.486  0.057  0.1510  0.7228  0.667  0.69
Rosen 1989   44  0.3545  0.0039  0.0938  0.3056  0.0447  0.11
Rosenthal 1930   50  0.3140  0.0047  0.0849  0.0833  0.4041  0.18
Rosenthal 1931   89  -0.0485  0.0085  0.0287  0.0283  0.0286  0.02
Rosenthal 1931b   83  0.0390  0.0083  0.0381  0.0377  0.0381  0.03
Rosenthal 1931c   76  0.1377  0.0075  0.0474  0.0480  0.0282  0.03
Rosenthal 1931d   80  0.0678  0.0079  0.0380  0.0379  0.0380  0.03
Rossi 2007   85  0.0186  0.0086  0.0285  0.0248  0.0574  0.03
Rubinstein 1939   67  0.2062  0.0066  0.0562  0.0564  0.0466  0.04
Rubinstein 1952   57  0.2735  0.0059  0.0654  0.0665  0.0462  0.05
Rubinstein 1966   58  0.2573  0.0063  0.0565  0.0562  0.0558  0.05
Schilhawsky 1960   28  0.3920  0.0124  0.0927  0.485  0.6515  0.56
Shebanova 2002   10  0.4815  0.018  0.1417  0.6238  0.3921  0.49
Smith 1975   81  0.0679  0.0088  0.0286  0.0289  0.0285  0.02
Sokolov 2002   66  0.2180  0.0067  0.0657  0.0663  0.0364  0.04
Sztompka 1959   19  0.4619  0.0116  0.1015  0.6425  0.4617  0.54
Tomsic 1995   63  0.2268  0.0069  0.0560  0.0576  0.0368  0.04
Uninsky 1932   12  0.4741  0.0015  0.138  0.7327  0.4018  0.54
Uninsky 1971   74  0.1687  0.0071  0.0566  0.0583  0.0276  0.03
Wasowski 1980   3  0.539  0.0211  0.1311  0.7126  0.5412  0.62
Zak 1937   24  0.4211  0.0125  0.0926  0.5117  0.5219  0.51
Zak 1951   36  0.3781  0.0036  0.0839  0.3023  0.4431  0.36
Average   1  0.581  0.261  0.261  0.8443  0.1135  0.30
Random 1   91  -0.1191  0.0090  0.0190  0.0185  0.0291  0.01
Random 2   84  0.0166  0.0087  0.0289  0.0266  0.0477  0.03
Random 3   90  -0.0559  0.0091  0.0191  0.0173  0.0389  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).