Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.5359  0.0049  0.0554  0.0544  0.1460  0.08
Anderszewski 2003   48  0.5149  0.0059  0.0548  0.0545  0.0670  0.05
Ashkenazy 1981   41  0.5220  0.0147  0.0549  0.0545  0.0767  0.06
Bacha 2000   49  0.5151  0.0057  0.0463  0.0422  0.3949  0.12
Badura 1965   81  0.4070  0.0077  0.0378  0.0359  0.0579  0.04
Barbosa 1983   69  0.4414  0.0163  0.0551  0.0542  0.1162  0.07
Biret 1990   24  0.5653  0.0042  0.0641  0.1433  0.2237  0.18
Blet 2003   73  0.4277  0.0080  0.0381  0.0374  0.0483  0.03
Block 1995   33  0.5452  0.0037  0.0733  0.2122  0.3330  0.26
Blumental 1952   68  0.4450  0.0070  0.0474  0.0458  0.0480  0.04
Boshniakovich 1969   22  0.582  0.114  0.1122  0.3425  0.3125  0.32
Brailowsky 1960   7  0.628  0.0313  0.1021  0.397  0.676  0.51
Bunin 1987   64  0.4541  0.0072  0.0550  0.0542  0.1261  0.08
Bunin 1987b   65  0.4554  0.0071  0.0377  0.0340  0.1366  0.06
Chiu 1999   60  0.4763  0.0031  0.0630  0.2320  0.4126  0.31
Cohen 1997   77  0.4247  0.0073  0.0460  0.0414  0.4448  0.13
Cortot 1951   66  0.4584  0.0078  0.0383  0.0336  0.1765  0.07
Csalog 1996   74  0.4267  0.0079  0.0385  0.0352  0.0676  0.04
Czerny 1949   55  0.5066  0.0062  0.0464  0.0462  0.0478  0.04
Czerny 1990   17  0.5810  0.0219  0.0818  0.4035  0.1928  0.28
Duchoud 2007   70  0.4390  0.0081  0.0379  0.0367  0.0486  0.03
Ezaki 2006   8  0.6224  0.0121  0.0715  0.4230  0.3217  0.37
Falvay 1989   16  0.596  0.046  0.127  0.4813  0.538  0.50
Farrell 1958   32  0.5468  0.0038  0.0731  0.2114  0.4327  0.30
Ferenczy 1958   82  0.3855  0.0087  0.0468  0.0476  0.0384  0.03
Fliere 1977   1  0.681  0.361  0.351  0.707  0.621  0.66
Fou 1978   23  0.5739  0.0015  0.098  0.4825  0.3813  0.43
Francois 1956   27  0.5533  0.0026  0.0627  0.2722  0.4520  0.35
Friedman 1923   86  0.3389  0.0083  0.0286  0.0264  0.0589  0.03
Friedman 1923b   85  0.3385  0.0082  0.0384  0.0342  0.1071  0.05
Friedman 1930   75  0.4231  0.0065  0.0547  0.0533  0.2452  0.11
Garcia 2007   84  0.3478  0.0085  0.0382  0.0370  0.0487  0.03
Garcia 2007b   87  0.3276  0.0086  0.0475  0.0469  0.0481  0.04
Gierzod 1998   5  0.6236  0.0011  0.096  0.5330  0.3811  0.45
Gornostaeva 1994   2  0.6512  0.017  0.152  0.557  0.603  0.57
Groot 1988   9  0.623  0.082  0.263  0.556  0.535  0.54
Harasiewicz 1955   47  0.5134  0.0023  0.0723  0.3353  0.0646  0.14
Hatto 1993   80  0.4175  0.0046  0.0555  0.0522  0.2257  0.10
Hatto 1997   71  0.4315  0.0118  0.0734  0.1938  0.1441  0.16
Horowitz 1949   46  0.5173  0.0058  0.0459  0.0423  0.4645  0.14
Indjic 1988   79  0.4182  0.0045  0.0557  0.0527  0.2255  0.10
Kapell 1951   52  0.5074  0.0068  0.0558  0.0546  0.0568  0.05
Kissin 1993   6  0.624  0.055  0.104  0.5419  0.487  0.51
Kushner 1989   13  0.6064  0.0028  0.0724  0.3246  0.0839  0.16
Luisada 1991   34  0.5413  0.0143  0.0543  0.1242  0.1743  0.14
Lushtak 2004   31  0.5418  0.0116  0.0912  0.4427  0.3915  0.41
Malcuzynski 1961   3  0.645  0.043  0.1111  0.4410  0.509  0.47
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   28  0.5558  0.0032  0.0629  0.2328  0.2832  0.25
Michalowski 1933   83  0.3643  0.0084  0.0287  0.0259  0.0582  0.03
Milkina 1970   11  0.6145  0.0017  0.0814  0.4232  0.3318  0.37
Mohovich 1999   21  0.5871  0.0030  0.0719  0.4033  0.2723  0.33
Moravec 1969   44  0.5228  0.0164  0.0645  0.0626  0.2947  0.13
Morozova 2008   54  0.5040  0.0050  0.0473  0.0467  0.0477  0.04
Neighaus 1950   14  0.6019  0.0122  0.0720  0.3925  0.3022  0.34
Niedzielski 1931   63  0.4625  0.0161  0.0462  0.0437  0.1558  0.08
Ohlsson 1999   20  0.5826  0.0134  0.0636  0.1738  0.1936  0.18
Osinska 1989   4  0.6230  0.0020  0.0613  0.4330  0.3716  0.40
Pachmann 1927   62  0.4757  0.0056  0.0465  0.047  0.5542  0.15
Paderewski 1930   45  0.5142  0.0054  0.0466  0.048  0.3850  0.12
Perlemuter 1992   53  0.5072  0.0051  0.0469  0.0430  0.2453  0.10
Pierdomenico 2008   59  0.4822  0.0135  0.0528  0.2511  0.4621  0.34
Poblocka 1999   30  0.5529  0.0053  0.0467  0.0462  0.0573  0.04
Rabcewiczowa 1932   38  0.5316  0.0124  0.0642  0.1329  0.2238  0.17
Rachmaninoff 1923   29  0.557  0.048  0.0916  0.4115  0.4512  0.43
Rangell 2001   35  0.5344  0.0027  0.0632  0.2120  0.3331  0.26
Richter 1976   61  0.4748  0.0069  0.0476  0.0449  0.0669  0.05
Rosen 1989   10  0.6121  0.0112  0.0917  0.4117  0.4314  0.42
Rosenthal 1930   26  0.5660  0.0041  0.0638  0.178  0.6124  0.32
Rosenthal 1931   56  0.4979  0.0048  0.0461  0.0411  0.6440  0.16
Rosenthal 1931b   51  0.5186  0.0044  0.0544  0.099  0.6334  0.24
Rosenthal 1931c   12  0.6027  0.0114  0.0910  0.465  0.732  0.58
Rosenthal 1931d   36  0.5380  0.0040  0.0535  0.196  0.6819  0.36
Rossi 2007   72  0.4211  0.0136  0.0740  0.146  0.5129  0.27
Rubinstein 1939   78  0.4269  0.0074  0.0552  0.0533  0.2451  0.11
Rubinstein 1952   18  0.589  0.0310  0.105  0.5412  0.594  0.56
Rubinstein 1966   40  0.5361  0.0055  0.0470  0.0444  0.1363  0.07
Schilhawsky 1960   57  0.4935  0.0060  0.0556  0.0540  0.1956  0.10
Shebanova 2002   19  0.5817  0.0129  0.0726  0.2733  0.2433  0.25
Smith 1975   15  0.5946  0.009  0.099  0.4715  0.4410  0.45
Sokolov 2002   25  0.5656  0.0025  0.0637  0.1735  0.2135  0.19
Sztompka 1959   50  0.5137  0.0067  0.0471  0.0475  0.0474  0.04
Tomsic 1995   39  0.5362  0.0052  0.0553  0.0536  0.2154  0.10
Uninsky 1932   76  0.4265  0.0076  0.0380  0.0372  0.0485  0.03
Uninsky 1971   67  0.4523  0.0175  0.0472  0.0479  0.0475  0.04
Wasowski 1980   58  0.4832  0.0066  0.0546  0.0563  0.0472  0.04
Zak 1937   43  0.5281  0.0039  0.0839  0.1769  0.0459  0.08
Zak 1951   42  0.5238  0.0033  0.0725  0.2848  0.0744  0.14
Random 1   90  -0.0887  0.0090  0.0190  0.0176  0.0290  0.01
Random 2   88  0.0088  0.0088  0.0288  0.0231  0.2264  0.07
Random 3   89  -0.0383  0.0089  0.0189  0.0140  0.0988  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).