Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.635  0.075  0.217  0.589  0.547  0.56
Anderszewski 2003   54  0.4975  0.0060  0.0655  0.0650  0.0578  0.05
Ashkenazy 1981   35  0.5461  0.0032  0.0640  0.1442  0.1746  0.15
Bacha 2000   43  0.5369  0.0033  0.0538  0.1514  0.4829  0.27
Badura 1965   67  0.4585  0.0061  0.0557  0.0529  0.3350  0.13
Barbosa 1983   69  0.4576  0.0048  0.0558  0.0536  0.2455  0.11
Biret 1990   23  0.5751  0.0029  0.0626  0.3325  0.3028  0.31
Blet 2003   47  0.5160  0.0058  0.0561  0.0538  0.1368  0.08
Block 1995   30  0.5513  0.0115  0.1023  0.3913  0.4518  0.42
Blumental 1952   70  0.4519  0.0034  0.0644  0.1131  0.1948  0.14
Boshniakovich 1969   16  0.6017  0.0112  0.1016  0.4318  0.4219  0.42
Brailowsky 1960   33  0.5465  0.0055  0.0846  0.0819  0.4739  0.19
Bunin 1987   87  0.3783  0.0087  0.0468  0.0468  0.0486  0.04
Bunin 1987b   86  0.3784  0.0086  0.0467  0.0463  0.0484  0.04
Chiu 1999   37  0.5438  0.0021  0.0819  0.418  0.5913  0.49
Cohen 1997   80  0.4212  0.0168  0.0377  0.0313  0.4651  0.12
Cortot 1951   72  0.4463  0.0075  0.0378  0.0345  0.0781  0.05
Csalog 1996   51  0.5014  0.0163  0.0566  0.0522  0.4147  0.14
Czerny 1949   50  0.5078  0.0044  0.0643  0.1148  0.0764  0.09
Czerny 1990   21  0.5827  0.0023  0.1015  0.4331  0.2625  0.33
Duchoud 2007   45  0.5243  0.0045  0.0653  0.067  0.5340  0.18
Ezaki 2006   7  0.6415  0.019  0.136  0.598  0.546  0.56
Falvay 1989   25  0.5748  0.0039  0.0535  0.1825  0.3931  0.26
Farrell 1958   48  0.5154  0.0059  0.0565  0.0533  0.2158  0.10
Ferenczy 1958   61  0.4640  0.0069  0.0471  0.0435  0.1963  0.09
Fliere 1977   2  0.692  0.113  0.361  0.773  0.663  0.71
Fou 1978   10  0.6310  0.028  0.118  0.589  0.518  0.54
Francois 1956   39  0.5433  0.0025  0.1724  0.3520  0.4821  0.41
Friedman 1923   66  0.4646  0.0057  0.0648  0.068  0.5641  0.18
Friedman 1923b   63  0.4631  0.0056  0.0556  0.058  0.5445  0.16
Friedman 1930   55  0.4816  0.0143  0.0542  0.1210  0.5134  0.25
Garcia 2007   76  0.4425  0.0070  0.0379  0.0318  0.3360  0.10
Garcia 2007b   84  0.4088  0.0074  0.0380  0.0330  0.2070  0.08
Gierzod 1998   6  0.6411  0.027  0.235  0.637  0.545  0.58
Gornostaeva 1994   3  0.693  0.092  0.293  0.721  0.772  0.74
Groot 1988   27  0.558  0.0222  0.0820  0.4123  0.3922  0.40
Harasiewicz 1955   29  0.559  0.0214  0.1122  0.4040  0.1635  0.25
Hatto 1993   64  0.4662  0.0049  0.0651  0.0638  0.1565  0.09
Hatto 1997   56  0.4829  0.0037  0.0532  0.2255  0.0559  0.10
Horowitz 1949   77  0.4372  0.0079  0.0470  0.0444  0.1075  0.06
Indjic 1988   71  0.4581  0.0050  0.0845  0.0838  0.1554  0.11
Kapell 1951   34  0.5428  0.0053  0.0560  0.0567  0.0483  0.04
Kissin 1993   17  0.6071  0.0020  0.0727  0.3227  0.3424  0.33
Kushner 1989   5  0.656  0.036  0.1911  0.5315  0.4812  0.50
Luisada 1991   18  0.5930  0.0016  0.1013  0.489  0.5510  0.51
Lushtak 2004   49  0.5150  0.0052  0.0652  0.0660  0.0580  0.05
Malcuzynski 1961   19  0.5942  0.0028  0.0630  0.2333  0.2437  0.23
Magaloff 1978   12  0.6122  0.0019  0.1017  0.4317  0.4117  0.42
Magin 1975   22  0.5826  0.0024  0.1321  0.4014  0.4616  0.43
Michalowski 1933   74  0.4445  0.0071  0.0386  0.0340  0.2066  0.08
Milkina 1970   15  0.6132  0.0017  0.1112  0.4918  0.4414  0.46
Mohovich 1999   4  0.654  0.084  0.264  0.645  0.664  0.65
Moravec 1969   58  0.4764  0.0064  0.0562  0.0547  0.0577  0.05
Morozova 2008   40  0.5418  0.0126  0.0625  0.3319  0.3126  0.32
Neighaus 1950   11  0.6241  0.0011  0.129  0.5711  0.509  0.53
Niedzielski 1931   82  0.4182  0.0080  0.0387  0.0354  0.0487  0.03
Ohlsson 1999   13  0.6121  0.0018  0.1214  0.4717  0.4415  0.45
Osinska 1989   1  0.701  0.371  0.362  0.771  0.761  0.76
Pachmann 1927   59  0.4720  0.0078  0.0376  0.0323  0.3752  0.11
Paderewski 1930   68  0.4587  0.0073  0.0383  0.0338  0.1476  0.06
Perlemuter 1992   44  0.5344  0.0041  0.0736  0.1821  0.3930  0.26
Pierdomenico 2008   31  0.5535  0.0054  0.0559  0.054  0.5443  0.16
Poblocka 1999   20  0.5847  0.0030  0.0729  0.2637  0.2136  0.23
Rabcewiczowa 1932   41  0.5479  0.0031  0.0728  0.2713  0.4323  0.34
Rachmaninoff 1923   65  0.4636  0.0046  0.0650  0.0644  0.0871  0.07
Rangell 2001   26  0.5524  0.0027  0.0633  0.2111  0.4727  0.31
Richter 1976   75  0.4423  0.0084  0.0375  0.0374  0.0388  0.03
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   62  0.4668  0.0076  0.0384  0.0335  0.1969  0.08
Rosenthal 1931   83  0.4167  0.0083  0.0382  0.0333  0.3062  0.09
Rosenthal 1931b   79  0.4274  0.0082  0.0472  0.0427  0.3256  0.11
Rosenthal 1931c   57  0.4866  0.0072  0.0374  0.0324  0.3757  0.11
Rosenthal 1931d   78  0.4377  0.0081  0.0385  0.0325  0.3161  0.10
Rossi 2007   81  0.4137  0.0067  0.0469  0.0412  0.4449  0.13
Rubinstein 1939   85  0.3770  0.0085  0.0473  0.0459  0.0582  0.04
Rubinstein 1952   46  0.5234  0.0051  0.0747  0.0720  0.4342  0.17
Rubinstein 1966   28  0.5556  0.0038  0.0534  0.1928  0.3633  0.26
Schilhawsky 1960   73  0.4480  0.0077  0.0381  0.0368  0.0489  0.03
Shebanova 2002   8  0.6355  0.0010  0.1010  0.5517  0.4811  0.51
Smith 1975   14  0.617  0.0313  0.1418  0.4319  0.3920  0.41
Sokolov 2002   53  0.5059  0.0062  0.0563  0.0545  0.0774  0.06
Sztompka 1959   24  0.5758  0.0035  0.0641  0.1343  0.0953  0.11
Tomsic 1995   38  0.5457  0.0042  0.0737  0.1614  0.4332  0.26
Uninsky 1932   60  0.4752  0.0066  0.0564  0.0556  0.0679  0.05
Uninsky 1971   42  0.5339  0.0047  0.0649  0.0641  0.1267  0.08
Wasowski 1980   52  0.5073  0.0065  0.0654  0.0647  0.0673  0.06
Zak 1937   32  0.5553  0.0040  0.0639  0.1539  0.1744  0.16
Zak 1951   36  0.5449  0.0036  0.0531  0.2334  0.2338  0.23
Random 1   89  -0.0689  0.0090  0.0190  0.0136  0.1485  0.04
Random 2   90  -0.0686  0.0089  0.0189  0.0163  0.0390  0.02
Random 3   88  0.0090  0.0088  0.0288  0.0228  0.2472  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).