Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.7011  0.029  0.1314  0.5710  0.5717  0.57
Anderszewski 2003   25  0.6440  0.0029  0.1428  0.4813  0.5125  0.49
Ashkenazy 1981   12  0.689  0.0313  0.129  0.602  0.667  0.63
Bacha 2000   64  0.5264  0.0068  0.0564  0.0524  0.3159  0.12
Badura 1965   56  0.5647  0.0061  0.0747  0.0726  0.3751  0.16
Barbosa 1983   72  0.4888  0.0067  0.0467  0.0443  0.1272  0.07
Biret 1990   35  0.6148  0.0034  0.1033  0.3713  0.4635  0.41
Blet 2003   65  0.5149  0.0070  0.0655  0.0625  0.3057  0.13
Block 1995   61  0.5465  0.0043  0.0743  0.1512  0.5041  0.27
Blumental 1952   58  0.5612  0.0236  0.0939  0.2226  0.2443  0.23
Boshniakovich 1969   16  0.6769  0.0015  0.0918  0.5312  0.5820  0.55
Brailowsky 1960   67  0.5037  0.0074  0.0474  0.0442  0.1966  0.09
Bunin 1987   83  0.4178  0.0077  0.0379  0.0349  0.0585  0.04
Bunin 1987b   84  0.3989  0.0079  0.0382  0.0347  0.0581  0.04
Chiu 1999   66  0.5152  0.0065  0.0477  0.0435  0.1670  0.08
Cohen 1997   87  0.3579  0.0087  0.0473  0.0477  0.0388  0.03
Cortot 1951   44  0.5928  0.0035  0.0938  0.224  0.6936  0.39
Csalog 1996   86  0.3680  0.0080  0.0383  0.0372  0.0387  0.03
Czerny 1949   4  0.731  0.191  0.196  0.645  0.684  0.66
Czerny 1990   9  0.7041  0.0018  0.137  0.637  0.695  0.66
Duchoud 2007   70  0.4971  0.0072  0.0845  0.0810  0.4347  0.19
Ezaki 2006   46  0.5984  0.0060  0.0558  0.0549  0.0676  0.05
Falvay 1989   75  0.4775  0.0081  0.0387  0.0365  0.0580  0.04
Farrell 1958   24  0.6420  0.0120  0.1021  0.521  0.7010  0.60
Ferenczy 1958   71  0.4858  0.0066  0.0478  0.0438  0.2563  0.10
Fliere 1977   7  0.717  0.037  0.1110  0.598  0.5218  0.55
Fou 1978   14  0.6813  0.0210  0.1312  0.586  0.6014  0.59
Francois 1956   42  0.6030  0.0045  0.0846  0.081  0.6444  0.23
Friedman 1923   52  0.5844  0.0055  0.0561  0.0525  0.4256  0.14
Friedman 1923b   47  0.5943  0.0049  0.0653  0.0620  0.4750  0.17
Friedman 1930   53  0.5862  0.0054  0.0469  0.0424  0.4558  0.13
Garcia 2007   33  0.6170  0.0037  0.0934  0.364  0.6029  0.46
Garcia 2007b   26  0.6439  0.0025  0.1127  0.486  0.5923  0.53
Gierzod 1998   3  0.732  0.182  0.202  0.706  0.653  0.67
Gornostaeva 1994   32  0.6229  0.0048  0.0557  0.0517  0.4454  0.15
Groot 1988   74  0.4831  0.0053  0.0566  0.0551  0.0678  0.05
Harasiewicz 1955   8  0.714  0.086  0.2011  0.5912  0.6112  0.60
Hatto 1993   43  0.5951  0.0027  0.1322  0.5116  0.4032  0.45
Hatto 1997   40  0.6033  0.0028  0.1226  0.5015  0.4131  0.45
Horowitz 1949   55  0.5672  0.0062  0.0656  0.0618  0.4849  0.17
Indjic 1988   37  0.6076  0.0026  0.1119  0.5316  0.4326  0.48
Kapell 1951   29  0.6315  0.0214  0.0929  0.488  0.4727  0.47
Kissin 1993   2  0.743  0.133  0.261  0.752  0.761  0.75
Kushner 1989   6  0.7117  0.0112  0.105  0.6411  0.608  0.62
Luisada 1991   38  0.6063  0.0050  0.0749  0.0740  0.1660  0.11
Lushtak 2004   54  0.5736  0.0056  0.0468  0.0433  0.2365  0.10
Malcuzynski 1961   51  0.585  0.0451  0.0654  0.0619  0.3853  0.15
Magaloff 1978   63  0.5459  0.0071  0.0651  0.0640  0.1468  0.09
Magin 1975   18  0.6719  0.0119  0.1324  0.517  0.5522  0.53
Michalowski 1933   49  0.5981  0.0047  0.0748  0.074  0.6145  0.21
Milkina 1970   13  0.6823  0.0124  0.1030  0.4321  0.4830  0.45
Mohovich 1999   59  0.5553  0.0057  0.0565  0.0543  0.1271  0.08
Moravec 1969   77  0.4560  0.0075  0.0475  0.0446  0.0677  0.05
Morozova 2008   22  0.6535  0.0031  0.1032  0.417  0.5128  0.46
Neighaus 1950   1  0.756  0.034  0.243  0.671  0.752  0.71
Niedzielski 1931   39  0.6045  0.0033  0.0835  0.355  0.5233  0.43
Ohlsson 1999   11  0.6916  0.0116  0.1215  0.547  0.6115  0.57
Osinska 1989   20  0.6621  0.0122  0.1120  0.5222  0.5124  0.51
Pachmann 1927   78  0.4455  0.0086  0.0380  0.0353  0.0583  0.04
Paderewski 1930   60  0.5456  0.0058  0.0560  0.053  0.6548  0.18
Perlemuter 1992   36  0.6050  0.0042  0.0742  0.156  0.5838  0.29
Pierdomenico 2008   68  0.4957  0.0069  0.0562  0.0518  0.4255  0.14
Poblocka 1999   15  0.6718  0.0117  0.138  0.617  0.609  0.60
Rabcewiczowa 1932   28  0.6338  0.0030  0.1025  0.503  0.6119  0.55
Rachmaninoff 1923   30  0.6225  0.0032  0.1031  0.4112  0.4134  0.41
Rangell 2001   57  0.5626  0.0052  0.0750  0.074  0.5946  0.20
Richter 1976   31  0.628  0.0341  0.0741  0.186  0.6437  0.34
Rosen 1989   27  0.6342  0.0038  0.0837  0.2322  0.3639  0.29
Rosenthal 1930   76  0.4666  0.0076  0.0471  0.0433  0.2564  0.10
Rosenthal 1931   79  0.4367  0.0082  0.0386  0.0342  0.1673  0.07
Rosenthal 1931b   82  0.4282  0.0083  0.0381  0.0340  0.1674  0.07
Rosenthal 1931c   80  0.4385  0.0084  0.0476  0.0447  0.0679  0.05
Rosenthal 1931d   85  0.3990  0.0085  0.0384  0.0358  0.0489  0.03
Rossi 2007   73  0.4854  0.0073  0.0472  0.0438  0.2267  0.09
Rubinstein 1939   62  0.5427  0.0064  0.0563  0.0535  0.2661  0.11
Rubinstein 1952   69  0.4922  0.0163  0.0470  0.0454  0.0586  0.04
Rubinstein 1966   48  0.5983  0.0059  0.0559  0.0536  0.2562  0.11
Schilhawsky 1960   23  0.6534  0.0023  0.1423  0.5112  0.5721  0.54
Shebanova 2002   5  0.7224  0.005  0.174  0.654  0.626  0.63
Smith 1975   45  0.5968  0.0046  0.0652  0.0616  0.3752  0.15
Sokolov 2002   50  0.5810  0.0340  0.0740  0.1917  0.4240  0.28
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   81  0.4273  0.0078  0.0385  0.0356  0.0682  0.04
Uninsky 1932   19  0.6632  0.0021  0.1117  0.533  0.6116  0.57
Uninsky 1971   21  0.6646  0.008  0.1113  0.575  0.6311  0.60
Wasowski 1980   17  0.6714  0.0211  0.1016  0.542  0.6513  0.59
Zak 1937   34  0.6161  0.0039  0.1036  0.2632  0.2642  0.26
Zak 1951   41  0.6077  0.0044  0.0844  0.1558  0.0669  0.09
Random 1   90  -0.0986  0.0088  0.0189  0.0128  0.1984  0.04
Random 2   88  -0.0674  0.0090  0.0190  0.0166  0.0390  0.02
Random 3   89  -0.0687  0.0089  0.0288  0.0229  0.2075  0.06

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).