Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.3563  0.0033  0.0533  0.1587  0.0337  0.07
Anderszewski 2003   36  0.3755  0.0045  0.0642  0.1188  0.0247  0.05
Ashkenazy 1981   10  0.4447  0.0022  0.0923  0.3272  0.0425  0.11
Bacha 2000   56  0.3459  0.0062  0.0471  0.0457  0.0551  0.04
Badura 1965   79  0.2640  0.0082  0.0454  0.0488  0.0384  0.03
Barbosa 1983   76  0.2978  0.0069  0.0377  0.0381  0.0478  0.03
Biret 1990   11  0.4464  0.0024  0.1021  0.3472  0.0422  0.12
Blet 2003   42  0.373  0.0240  0.0444  0.0969  0.0444  0.06
Block 1995   72  0.3057  0.0027  0.0640  0.1176  0.0345  0.06
Blumental 1952   25  0.4045  0.0020  0.0917  0.3743  0.0910  0.18
Boshniakovich 1969   13  0.4349  0.0019  0.0716  0.4066  0.0519  0.14
Brailowsky 1960   62  0.3284  0.0078  0.0551  0.0570  0.0452  0.04
Bunin 1987   51  0.3535  0.0061  0.0461  0.0459  0.0562  0.04
Bunin 1987b   53  0.3518  0.0060  0.0460  0.0451  0.0556  0.04
Chiu 1999   21  0.4121  0.0046  0.0464  0.0480  0.0368  0.03
Cohen 1997   67  0.3139  0.0077  0.0378  0.0351  0.0561  0.04
Cortot 1951   77  0.2979  0.0068  0.0381  0.0352  0.0564  0.04
Csalog 1996   86  0.2253  0.0080  0.0469  0.0477  0.0380  0.03
Czerny 1949   69  0.3180  0.0064  0.0453  0.0484  0.0383  0.03
Czerny 1990   32  0.3877  0.0042  0.0441  0.1184  0.0346  0.06
Duchoud 2007   47  0.3615  0.0051  0.0467  0.0475  0.0458  0.04
Ezaki 2006   57  0.3376  0.0075  0.0386  0.0386  0.0366  0.03
Falvay 1989   64  0.3226  0.0071  0.0463  0.0477  0.0455  0.04
Farrell 1958   20  0.4223  0.0011  0.109  0.5028  0.273  0.37
Ferenczy 1958   75  0.2967  0.0067  0.0382  0.0365  0.0482  0.03
Fliere 1977   4  0.487  0.017  0.173  0.6282  0.0316  0.14
Fou 1978   28  0.4060  0.0043  0.0435  0.1483  0.0341  0.06
Francois 1956   78  0.2820  0.0065  0.0472  0.0483  0.0388  0.03
Friedman 1923   46  0.3614  0.0058  0.0647  0.0645  0.1134  0.08
Friedman 1923b   41  0.3711  0.0057  0.0646  0.0671  0.0448  0.05
Friedman 1930   29  0.3929  0.0056  0.0455  0.0482  0.0381  0.03
Garcia 2007   1  0.621  0.821  0.811  0.871  0.901  0.88
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   43  0.3789  0.0026  0.0826  0.2687  0.0238  0.07
Gornostaeva 1994   31  0.3928  0.0036  0.0534  0.1583  0.0249  0.05
Groot 1988   40  0.375  0.014  0.1619  0.3561  0.0423  0.12
Harasiewicz 1955   23  0.419  0.0121  0.0725  0.2783  0.0239  0.07
Hatto 1993   12  0.4351  0.0010  0.1211  0.4951  0.079  0.19
Hatto 1997   27  0.4054  0.0016  0.1114  0.4355  0.0515  0.15
Horowitz 1949   54  0.3541  0.0073  0.0385  0.0367  0.0374  0.03
Indjic 1988   15  0.4322  0.009  0.138  0.5464  0.0512  0.16
Kapell 1951   22  0.4116  0.0012  0.1010  0.4944  0.106  0.22
Kissin 1993   58  0.3390  0.0076  0.0458  0.0483  0.0377  0.03
Kushner 1989   8  0.4431  0.006  0.154  0.6058  0.068  0.19
Luisada 1991   3  0.496  0.013  0.185  0.5640  0.224  0.35
Lushtak 2004   33  0.3868  0.0047  0.0549  0.0579  0.0359  0.04
Malcuzynski 1961   38  0.3736  0.0028  0.0628  0.2188  0.0330  0.08
Magaloff 1978   65  0.3248  0.0063  0.0470  0.0476  0.0453  0.04
Magin 1975   7  0.444  0.0214  0.1415  0.4051  0.0517  0.14
Michalowski 1933   16  0.432  0.0213  0.1013  0.4426  0.352  0.39
Milkina 1970   61  0.3265  0.0049  0.0452  0.0484  0.0372  0.03
Mohovich 1999   55  0.3487  0.0048  0.0459  0.0467  0.0460  0.04
Moravec 1969   83  0.2558  0.0081  0.0476  0.0487  0.0367  0.03
Morozova 2008   18  0.4261  0.0023  0.0920  0.3474  0.0421  0.12
Neighaus 1950   17  0.4266  0.0034  0.0430  0.2066  0.0527  0.10
Niedzielski 1931   73  0.3075  0.0053  0.0474  0.0475  0.0370  0.03
Ohlsson 1999   30  0.3972  0.0044  0.0536  0.1384  0.0343  0.06
Osinska 1989   39  0.3724  0.0017  0.0824  0.2859  0.0520  0.12
Pachmann 1927   85  0.2456  0.0084  0.0379  0.0371  0.0476  0.03
Paderewski 1930   59  0.3371  0.0032  0.0537  0.1342  0.1024  0.11
Perlemuter 1992   26  0.4050  0.0030  0.0629  0.2054  0.0526  0.10
Pierdomenico 2008   9  0.448  0.0115  0.1318  0.3723  0.325  0.34
Poblocka 1999   37  0.3727  0.0041  0.0438  0.1253  0.0529  0.08
Rabcewiczowa 1932   35  0.3769  0.0054  0.0465  0.0477  0.0371  0.03
Rachmaninoff 1923   45  0.3685  0.0055  0.0457  0.0471  0.0454  0.04
Rangell 2001   74  0.3019  0.0037  0.0543  0.1079  0.0350  0.05
Richter 1976   71  0.3037  0.0072  0.0380  0.0368  0.0475  0.03
Rosen 1989   24  0.4086  0.0035  0.0531  0.2081  0.0332  0.08
Rosenthal 1930   82  0.2570  0.0086  0.0387  0.0385  0.0291  0.02
Rosenthal 1931   87  0.2281  0.0087  0.0384  0.0385  0.0379  0.03
Rosenthal 1931b   81  0.2546  0.0083  0.0466  0.0472  0.0386  0.03
Rosenthal 1931c   88  0.2288  0.0088  0.0468  0.0486  0.0387  0.03
Rosenthal 1931d   84  0.2483  0.0085  0.0475  0.0458  0.0563  0.04
Rossi 2007   60  0.3332  0.0059  0.0550  0.0547  0.0840  0.06
Rubinstein 1939   66  0.3212  0.0066  0.0473  0.0440  0.1435  0.07
Rubinstein 1952   80  0.2630  0.0079  0.0548  0.0583  0.0465  0.04
Rubinstein 1966   70  0.3044  0.0050  0.0456  0.0467  0.0457  0.04
Schilhawsky 1960   44  0.3717  0.0031  0.0632  0.1770  0.0431  0.08
Shebanova 2002   6  0.4413  0.008  0.126  0.5662  0.0511  0.17
Smith 1975   34  0.3882  0.0052  0.0462  0.0475  0.0369  0.03
Sokolov 2002   68  0.3191  0.0074  0.0288  0.0288  0.0389  0.02
Sztompka 1959   5  0.4674  0.005  0.147  0.5645  0.097  0.22
Tomsic 1995   63  0.3273  0.0070  0.0383  0.0378  0.0473  0.03
Uninsky 1932   19  0.4233  0.0025  0.1022  0.3356  0.0618  0.14
Uninsky 1971   48  0.3638  0.0029  0.0627  0.2275  0.0428  0.09
Wasowski 1980   14  0.4325  0.0018  0.0912  0.4654  0.0513  0.15
Zak 1937   49  0.3642  0.0039  0.0445  0.0864  0.0442  0.06
Zak 1951   52  0.3510  0.0038  0.0439  0.1179  0.0436  0.07
Average   2  0.5134  0.002  0.472  0.7685  0.0314  0.15
Random 1   90  -0.0362  0.0089  0.0289  0.0219  0.3233  0.08
Random 2   91  -0.0643  0.0091  0.0191  0.0162  0.0390  0.02
Random 3   89  -0.0152  0.0090  0.0190  0.0137  0.1185  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).