Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6231  0.003  0.114  0.5316  0.504  0.51
Anderszewski 2003   38  0.5369  0.0040  0.0540  0.1230  0.2442  0.17
Ashkenazy 1981   6  0.623  0.085  0.126  0.5115  0.507  0.50
Bacha 2000   78  0.3983  0.0069  0.0480  0.0440  0.1570  0.08
Badura 1965   12  0.592  0.087  0.128  0.491  0.662  0.57
Barbosa 1983   41  0.5336  0.0026  0.0536  0.1720  0.3831  0.25
Biret 1990   57  0.5060  0.0047  0.0560  0.0540  0.1569  0.09
Blet 2003   40  0.5375  0.0058  0.0562  0.0530  0.2162  0.10
Block 1995   64  0.4566  0.0065  0.0464  0.0450  0.0583  0.04
Blumental 1952   43  0.536  0.0327  0.0437  0.1623  0.2737  0.21
Boshniakovich 1969   16  0.5837  0.0020  0.0822  0.2919  0.4118  0.34
Brailowsky 1960   61  0.4861  0.0066  0.0470  0.0425  0.3851  0.12
Bunin 1987   60  0.4943  0.0045  0.0646  0.0626  0.3247  0.14
Bunin 1987b   58  0.4922  0.0144  0.0641  0.1224  0.3438  0.20
Chiu 1999   15  0.5818  0.0119  0.0915  0.387  0.609  0.48
Cohen 1997   87  0.2864  0.0087  0.0471  0.0449  0.0584  0.04
Cortot 1951   63  0.4571  0.0077  0.0477  0.0435  0.1872  0.08
Csalog 1996   86  0.3280  0.0078  0.0474  0.0454  0.0582  0.04
Czerny 1949   22  0.5629  0.0114  0.1313  0.4219  0.4514  0.43
Czerny 1990   5  0.6210  0.022  0.127  0.5013  0.518  0.50
Duchoud 2007   54  0.5033  0.0039  0.0538  0.1312  0.4732  0.25
Ezaki 2006   4  0.635  0.058  0.0914  0.4020  0.4215  0.41
Falvay 1989   48  0.5157  0.0059  0.0465  0.0443  0.1373  0.07
Farrell 1958   45  0.5215  0.0154  0.0469  0.0420  0.3453  0.12
Ferenczy 1958   77  0.4087  0.0086  0.0381  0.0361  0.0487  0.03
Fliere 1977   3  0.634  0.064  0.112  0.5520  0.465  0.50
Fou 1978   9  0.6132  0.0010  0.133  0.5413  0.476  0.50
Francois 1956   65  0.4456  0.0057  0.0552  0.0535  0.2559  0.11
Friedman 1923   72  0.4267  0.0075  0.0563  0.0519  0.3749  0.14
Friedman 1923b   70  0.4349  0.0072  0.0557  0.0519  0.4048  0.14
Friedman 1930   62  0.4655  0.0067  0.0556  0.0534  0.2263  0.10
Garcia 2007   74  0.4038  0.0074  0.0478  0.0420  0.3257  0.11
Garcia 2007b   71  0.4282  0.0070  0.0473  0.0419  0.3456  0.12
Gierzod 1998   30  0.5419  0.0122  0.0718  0.3342  0.2426  0.28
Gornostaeva 1994   46  0.5128  0.0156  0.0559  0.0541  0.1568  0.09
Groot 1988   47  0.5116  0.0117  0.0925  0.2824  0.3819  0.33
Harasiewicz 1955   13  0.5873  0.0025  0.0528  0.2549  0.0655  0.12
Hatto 1993   34  0.5440  0.0030  0.0524  0.2820  0.2430  0.26
Hatto 1997   28  0.5484  0.0031  0.0626  0.2726  0.2727  0.27
Horowitz 1949   59  0.4934  0.0062  0.0554  0.0520  0.5043  0.16
Indjic 1988   36  0.5376  0.0032  0.0923  0.2824  0.2429  0.26
Kapell 1951   51  0.5135  0.0042  0.0643  0.1239  0.1845  0.15
Kissin 1993   8  0.6151  0.0015  0.1112  0.4420  0.4711  0.45
Kushner 1989   1  0.651  0.351  0.351  0.692  0.661  0.67
Luisada 1991   2  0.647  0.039  0.1017  0.3723  0.4416  0.40
Lushtak 2004   18  0.5727  0.0133  0.0731  0.2236  0.1839  0.20
Malcuzynski 1961   49  0.5139  0.0048  0.0561  0.0543  0.1471  0.08
Magaloff 1978   55  0.5068  0.0055  0.0467  0.0473  0.0480  0.04
Magin 1975   11  0.6012  0.0211  0.1220  0.3124  0.3320  0.32
Michalowski 1933   68  0.4370  0.0068  0.0650  0.0636  0.2554  0.12
Milkina 1970   21  0.5614  0.016  0.119  0.4815  0.4710  0.47
Mohovich 1999   50  0.5159  0.0050  0.0648  0.0652  0.0776  0.06
Moravec 1969   73  0.4113  0.0160  0.0558  0.0533  0.2060  0.10
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   29  0.549  0.0224  0.0621  0.3130  0.2328  0.27
Niedzielski 1931   84  0.3654  0.0083  0.0286  0.0268  0.0389  0.02
Ohlsson 1999   20  0.5623  0.0118  0.0816  0.3831  0.3017  0.34
Osinska 1989   35  0.5326  0.0123  0.0830  0.2339  0.2035  0.21
Pachmann 1927   82  0.3785  0.0084  0.0384  0.0354  0.0681  0.04
Paderewski 1930   81  0.3888  0.0085  0.0382  0.0386  0.0386  0.03
Perlemuter 1992   24  0.5546  0.0035  0.0532  0.2016  0.4322  0.29
Pierdomenico 2008   67  0.4379  0.0071  0.0468  0.0430  0.2461  0.10
Poblocka 1999   26  0.5544  0.0043  0.0739  0.1342  0.1744  0.15
Rabcewiczowa 1932   53  0.5065  0.0053  0.0651  0.0627  0.2552  0.12
Rachmaninoff 1923   17  0.5825  0.0113  0.105  0.525  0.553  0.53
Rangell 2001   79  0.3930  0.0173  0.0472  0.0459  0.0585  0.04
Richter 1976   27  0.5542  0.0028  0.0444  0.1025  0.3740  0.19
Rosen 1989   32  0.5417  0.0121  0.0819  0.3125  0.3321  0.32
Rosenthal 1930   69  0.4341  0.0064  0.0476  0.0429  0.3158  0.11
Rosenthal 1931   76  0.4072  0.0076  0.0466  0.0418  0.5346  0.15
Rosenthal 1931b   83  0.3652  0.0080  0.0383  0.0326  0.3664  0.10
Rosenthal 1931c   75  0.4045  0.0079  0.0475  0.0437  0.2365  0.10
Rosenthal 1931d   85  0.3450  0.0081  0.0385  0.0342  0.1477  0.06
Rossi 2007   80  0.3862  0.0082  0.0287  0.0247  0.0779  0.04
Rubinstein 1939   56  0.5020  0.0161  0.0647  0.068  0.4741  0.17
Rubinstein 1952   66  0.4324  0.0163  0.0479  0.0444  0.1174  0.07
Rubinstein 1966   23  0.5547  0.0037  0.0633  0.2022  0.4324  0.29
Schilhawsky 1960   42  0.5358  0.0049  0.0555  0.0541  0.1766  0.09
Shebanova 2002   14  0.5811  0.0212  0.0910  0.4522  0.4612  0.45
Smith 1975   37  0.5374  0.0046  0.0645  0.0651  0.0775  0.06
Sokolov 2002   25  0.5553  0.0029  0.0529  0.2526  0.3323  0.29
Sztompka 1959   10  0.6121  0.0116  0.0911  0.4415  0.4313  0.43
Tomsic 1995   52  0.508  0.0341  0.0642  0.1213  0.4534  0.23
Uninsky 1932   19  0.5777  0.0036  0.0535  0.1819  0.4425  0.28
Uninsky 1971   44  0.5263  0.0052  0.0649  0.0660  0.0578  0.05
Wasowski 1980   33  0.5448  0.0051  0.0553  0.0523  0.3150  0.12
Zak 1937   39  0.5381  0.0038  0.0534  0.1936  0.2336  0.21
Zak 1951   31  0.5478  0.0034  0.0627  0.2740  0.2133  0.24
Random 1   90  -0.0789  0.0090  0.0190  0.0167  0.0390  0.02
Random 2   88  0.0086  0.0088  0.0288  0.0212  0.4067  0.09
Random 3   89  -0.0490  0.0089  0.0289  0.0253  0.0488  0.03

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).