Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.707  0.0110  0.1315  0.5711  0.5718  0.57
Anderszewski 2003   26  0.6439  0.0030  0.1429  0.4814  0.5126  0.49
Ashkenazy 1981   13  0.685  0.0214  0.1210  0.603  0.668  0.63
Bacha 2000   65  0.5264  0.0069  0.0565  0.0525  0.3160  0.12
Badura 1965   57  0.5646  0.0062  0.0748  0.0727  0.3751  0.16
Barbosa 1983   73  0.4888  0.0068  0.0468  0.0444  0.1273  0.07
Biret 1990   36  0.6151  0.0035  0.1034  0.3714  0.4636  0.41
Blet 2003   66  0.5147  0.0071  0.0656  0.0626  0.3058  0.13
Block 1995   62  0.5465  0.0044  0.0744  0.1513  0.5042  0.27
Blumental 1952   59  0.568  0.0137  0.0940  0.2227  0.2444  0.23
Boshniakovich 1969   17  0.6773  0.0016  0.0919  0.5313  0.5821  0.55
Brailowsky 1960   68  0.5034  0.0075  0.0475  0.0443  0.1966  0.09
Bunin 1987   84  0.4178  0.0078  0.0380  0.0350  0.0586  0.04
Bunin 1987b   85  0.3989  0.0080  0.0383  0.0348  0.0582  0.04
Chiu 1999   67  0.5152  0.0066  0.0478  0.0436  0.1671  0.08
Cohen 1997   88  0.3579  0.0088  0.0474  0.0478  0.0389  0.03
Cortot 1951   45  0.5925  0.0036  0.0839  0.225  0.6937  0.39
Csalog 1996   87  0.3680  0.0081  0.0384  0.0373  0.0388  0.03
Czerny 1949   5  0.732  0.072  0.197  0.646  0.685  0.66
Czerny 1990   10  0.7040  0.0019  0.138  0.638  0.696  0.66
Duchoud 2007   71  0.4970  0.0073  0.0846  0.0811  0.4348  0.19
Ezaki 2006   47  0.5990  0.0061  0.0559  0.0550  0.0677  0.05
Falvay 1989   76  0.4776  0.0082  0.0388  0.0366  0.0581  0.04
Farrell 1958   25  0.6419  0.0121  0.1022  0.522  0.7011  0.60
Ferenczy 1958   72  0.4858  0.0067  0.0379  0.0339  0.2570  0.09
Fliere 1977   8  0.7143  0.008  0.1111  0.599  0.5219  0.55
Fou 1978   15  0.6811  0.0111  0.1313  0.587  0.6015  0.59
Francois 1956   43  0.6029  0.0046  0.0847  0.082  0.6445  0.23
Friedman 1923   53  0.5842  0.0056  0.0562  0.0526  0.4257  0.14
Friedman 1923b   48  0.5941  0.0050  0.0654  0.0621  0.4750  0.17
Friedman 1930   54  0.5862  0.0055  0.0470  0.0425  0.4559  0.13
Garcia 2007   34  0.6169  0.0038  0.0935  0.365  0.6030  0.46
Garcia 2007b   27  0.6436  0.0026  0.1128  0.487  0.5924  0.53
Gierzod 1998   4  0.7320  0.013  0.193  0.707  0.654  0.67
Gornostaeva 1994   33  0.6227  0.0049  0.0558  0.0518  0.4455  0.15
Groot 1988   75  0.4838  0.0054  0.0567  0.0552  0.0679  0.05
Harasiewicz 1955   9  0.7113  0.017  0.2012  0.5913  0.6113  0.60
Hatto 1993   44  0.5957  0.0028  0.1323  0.5117  0.4033  0.45
Hatto 1997   41  0.6044  0.0029  0.1227  0.5016  0.4132  0.45
Horowitz 1949   56  0.5671  0.0063  0.0557  0.0519  0.4854  0.15
Indjic 1988   38  0.6081  0.0027  0.1120  0.5317  0.4327  0.48
Kapell 1951   30  0.6315  0.0115  0.0930  0.489  0.4728  0.47
Kissin 1993   3  0.7410  0.014  0.262  0.753  0.761  0.75
Kushner 1989   7  0.7118  0.0113  0.106  0.6412  0.609  0.62
Luisada 1991   39  0.6063  0.0051  0.0750  0.0741  0.1661  0.11
Lushtak 2004   55  0.5732  0.0057  0.0469  0.0434  0.2365  0.10
Malcuzynski 1961   52  0.586  0.0252  0.0655  0.0620  0.3853  0.15
Magaloff 1978   64  0.5459  0.0072  0.0652  0.0641  0.1468  0.09
Magin 1975   19  0.6714  0.0120  0.1325  0.518  0.5523  0.53
Michalowski 1933   50  0.5983  0.0048  0.0749  0.075  0.6146  0.21
Milkina 1970   14  0.6822  0.0025  0.1031  0.4322  0.4831  0.45
Mohovich 1999   60  0.5574  0.0058  0.0566  0.0544  0.1272  0.08
Moravec 1969   78  0.4560  0.0076  0.0476  0.0447  0.0678  0.05
Morozova 2008   23  0.6530  0.0032  0.1033  0.418  0.5129  0.46
Neighaus 1950   2  0.7512  0.015  0.234  0.672  0.753  0.71
Niedzielski 1931   40  0.6049  0.0034  0.0836  0.356  0.5234  0.43
Ohlsson 1999   12  0.699  0.0117  0.1216  0.548  0.6116  0.57
Osinska 1989   21  0.6626  0.0023  0.1121  0.5223  0.5125  0.51
Pachmann 1927   79  0.4454  0.0087  0.0381  0.0354  0.0584  0.04
Paderewski 1930   61  0.5455  0.0059  0.0561  0.054  0.6549  0.18
Perlemuter 1992   37  0.6048  0.0043  0.0743  0.157  0.5839  0.29
Pierdomenico 2008   69  0.4956  0.0070  0.0563  0.0519  0.4256  0.14
Poblocka 1999   16  0.6721  0.0118  0.139  0.618  0.6010  0.60
Rabcewiczowa 1932   29  0.6335  0.0031  0.0926  0.504  0.6120  0.55
Rachmaninoff 1923   31  0.6224  0.0033  0.1032  0.4113  0.4135  0.41
Rangell 2001   58  0.5633  0.0053  0.0751  0.075  0.5947  0.20
Richter 1976   32  0.623  0.0342  0.0742  0.187  0.6438  0.34
Rosen 1989   28  0.6345  0.0039  0.0838  0.2323  0.3640  0.29
Rosenthal 1930   77  0.4666  0.0077  0.0472  0.0434  0.2564  0.10
Rosenthal 1931   80  0.4367  0.0083  0.0387  0.0343  0.1674  0.07
Rosenthal 1931b   83  0.4282  0.0084  0.0382  0.0341  0.1676  0.07
Rosenthal 1931c   81  0.4384  0.0085  0.0477  0.0448  0.0680  0.05
Rosenthal 1931d   86  0.3991  0.0086  0.0385  0.0359  0.0490  0.03
Rossi 2007   74  0.4853  0.0074  0.0473  0.0439  0.2267  0.09
Rubinstein 1939   63  0.5423  0.0065  0.0564  0.0536  0.2662  0.11
Rubinstein 1952   70  0.4917  0.0164  0.0471  0.0455  0.0587  0.04
Rubinstein 1966   49  0.5985  0.0060  0.0560  0.0537  0.2563  0.11
Schilhawsky 1960   24  0.6528  0.0024  0.1424  0.5113  0.5722  0.54
Shebanova 2002   6  0.7237  0.006  0.165  0.655  0.627  0.63
Smith 1975   46  0.5968  0.0047  0.0653  0.0617  0.3752  0.15
Sokolov 2002   51  0.584  0.0341  0.0741  0.1918  0.4241  0.28
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   82  0.4272  0.0079  0.0386  0.0357  0.0683  0.04
Uninsky 1932   20  0.6631  0.0022  0.1118  0.534  0.6117  0.57
Uninsky 1971   22  0.6650  0.009  0.1114  0.576  0.6312  0.60
Wasowski 1980   18  0.6716  0.0112  0.1017  0.543  0.6514  0.59
Zak 1937   35  0.6161  0.0040  0.1037  0.2633  0.2643  0.26
Zak 1951   42  0.6077  0.0045  0.0845  0.1559  0.0669  0.09
Average   1  0.821  0.661  0.661  0.848  0.612  0.72
Random 1   91  -0.0986  0.0089  0.0190  0.0128  0.2085  0.04
Random 2   89  -0.0675  0.0091  0.0191  0.0176  0.0391  0.02
Random 3   90  -0.0687  0.0090  0.0289  0.0229  0.2275  0.07

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).