Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.614  0.063  0.203  0.6524  0.398  0.50
Anderszewski 2003   61  0.4222  0.0043  0.0543  0.1174  0.0352  0.06
Ashkenazy 1981   58  0.4355  0.0041  0.0637  0.2361  0.0443  0.10
Bacha 2000   66  0.4177  0.0069  0.0459  0.0452  0.0657  0.05
Badura 1965   67  0.4078  0.0067  0.0454  0.0457  0.0571  0.04
Barbosa 1983   45  0.4780  0.0047  0.0645  0.0644  0.0951  0.07
Biret 1990   18  0.557  0.058  0.148  0.6114  0.446  0.52
Blet 2003   42  0.4951  0.0049  0.0547  0.0567  0.0467  0.04
Block 1995   72  0.3883  0.0083  0.0287  0.0285  0.0289  0.02
Blumental 1952   78  0.3553  0.0050  0.0455  0.0470  0.0472  0.04
Boshniakovich 1969   49  0.4654  0.0060  0.0462  0.0479  0.0473  0.04
Brailowsky 1960   62  0.4284  0.0084  0.0380  0.0381  0.0379  0.03
Bunin 1987   47  0.4644  0.0062  0.0457  0.0447  0.0661  0.05
Bunin 1987b   50  0.4576  0.0063  0.0371  0.0348  0.0664  0.04
Chiu 1999   71  0.3875  0.0070  0.0456  0.0469  0.0463  0.04
Cohen 1997   81  0.3313  0.0181  0.0385  0.0322  0.3144  0.10
Cortot 1951   59  0.4281  0.0059  0.0370  0.0357  0.0576  0.04
Csalog 1996   68  0.3964  0.0061  0.0458  0.0459  0.0566  0.04
Czerny 1949   1  0.651  0.271  0.261  0.746  0.661  0.70
Czerny 1990   5  0.6132  0.007  0.215  0.6322  0.3711  0.48
Duchoud 2007   56  0.4320  0.0072  0.0461  0.0473  0.0470  0.04
Ezaki 2006   12  0.5633  0.0019  0.0816  0.4936  0.2321  0.34
Falvay 1989   16  0.5523  0.0020  0.0910  0.5621  0.4310  0.49
Farrell 1958   37  0.5041  0.0031  0.0828  0.3819  0.3814  0.38
Ferenczy 1958   52  0.4425  0.0052  0.0550  0.0548  0.0560  0.05
Fliere 1977   22  0.5479  0.0035  0.0831  0.2982  0.0345  0.09
Fou 1978   30  0.516  0.0510  0.1223  0.4432  0.2522  0.33
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   86  0.2765  0.0075  0.0464  0.0476  0.0477  0.04
Friedman 1923b   87  0.2743  0.0074  0.0384  0.0365  0.0574  0.04
Friedman 1930   69  0.3959  0.0064  0.0463  0.0443  0.1053  0.06
Garcia 2007   85  0.2872  0.0085  0.0379  0.0361  0.0486  0.03
Garcia 2007b   84  0.2846  0.0077  0.0382  0.0371  0.0488  0.03
Gierzod 1998   21  0.5552  0.0026  0.0924  0.4346  0.0731  0.17
Gornostaeva 1994   2  0.638  0.045  0.164  0.6420  0.503  0.57
Groot 1988   7  0.605  0.056  0.176  0.628  0.494  0.55
Harasiewicz 1955   36  0.5039  0.0027  0.1025  0.4156  0.0533  0.14
Hatto 1993   83  0.3082  0.0076  0.0372  0.0376  0.0487  0.03
Hatto 1997   75  0.3771  0.0044  0.0544  0.0979  0.0454  0.06
Horowitz 1949   64  0.4167  0.0058  0.0367  0.0371  0.0383  0.03
Indjic 1988   82  0.3290  0.0073  0.0381  0.0384  0.0385  0.03
Kapell 1951   13  0.5647  0.0023  0.1029  0.3761  0.0437  0.12
Kissin 1993   31  0.5162  0.0036  0.0634  0.2549  0.0735  0.13
Kushner 1989   11  0.5637  0.0012  0.1218  0.4932  0.2618  0.36
Luisada 1991   55  0.4466  0.0053  0.0451  0.0469  0.0462  0.04
Lushtak 2004   38  0.5069  0.0021  0.0821  0.4635  0.2125  0.31
Malcuzynski 1961   19  0.5538  0.0034  0.0636  0.2451  0.0539  0.11
Magaloff 1978   15  0.5527  0.0025  0.1022  0.4527  0.2719  0.35
Magin 1975   63  0.4230  0.0042  0.0839  0.1847  0.0642  0.10
Michalowski 1933   73  0.3849  0.0071  0.0377  0.0353  0.0665  0.04
Milkina 1970   8  0.5817  0.0117  0.0914  0.5237  0.2420  0.35
Mohovich 1999   9  0.5624  0.0014  0.1212  0.5430  0.3412  0.43
Moravec 1969   27  0.5370  0.0046  0.0646  0.0630  0.2336  0.12
Morozova 2008   53  0.4468  0.0037  0.0535  0.2552  0.0541  0.11
Neighaus 1950   4  0.612  0.152  0.222  0.6914  0.482  0.58
Niedzielski 1931   44  0.4729  0.0054  0.0369  0.0348  0.0482  0.03
Ohlsson 1999   25  0.5428  0.0032  0.0830  0.3641  0.1330  0.22
Osinska 1989   6  0.6115  0.019  0.167  0.6127  0.409  0.49
Pachmann 1927   65  0.4185  0.0080  0.0383  0.0346  0.0758  0.05
Paderewski 1930   33  0.5119  0.0039  0.0640  0.184  0.4726  0.29
Perlemuter 1992   17  0.559  0.0313  0.1311  0.549  0.477  0.50
Pierdomenico 2008   46  0.4634  0.0030  0.0733  0.288  0.5016  0.37
Poblocka 1999   43  0.4861  0.0055  0.0452  0.0485  0.0380  0.03
Rabcewiczowa 1932   10  0.563  0.114  0.159  0.575  0.525  0.54
Rachmaninoff 1923   29  0.5216  0.0128  0.1027  0.3836  0.1329  0.22
Rangell 2001   60  0.4287  0.0068  0.0375  0.0364  0.0575  0.04
Richter 1976   79  0.3473  0.0087  0.0460  0.0481  0.0384  0.03
Rosen 1989   24  0.5411  0.0211  0.1520  0.4824  0.3513  0.41
Rosenthal 1930   48  0.4686  0.0066  0.0368  0.0342  0.1356  0.06
Rosenthal 1931   77  0.3589  0.0082  0.0386  0.0339  0.2149  0.08
Rosenthal 1931b   76  0.3636  0.0078  0.0378  0.0329  0.3047  0.09
Rosenthal 1931c   54  0.4456  0.0065  0.0465  0.0427  0.3738  0.12
Rosenthal 1931d   70  0.3945  0.0079  0.0376  0.0330  0.2450  0.08
Rossi 2007   74  0.3712  0.0251  0.0453  0.0415  0.4234  0.13
Rubinstein 1939   80  0.3457  0.0086  0.0366  0.0375  0.0481  0.03
Rubinstein 1952   28  0.5226  0.0029  0.0832  0.2926  0.3524  0.32
Rubinstein 1966   34  0.5140  0.0040  0.0741  0.1655  0.0740  0.11
Schilhawsky 1960   40  0.4942  0.0048  0.0549  0.0551  0.0659  0.05
Shebanova 2002   41  0.4974  0.0045  0.0548  0.0585  0.0369  0.04
Smith 1975   14  0.5631  0.0018  0.0819  0.4826  0.2915  0.37
Sokolov 2002   23  0.5414  0.0124  0.0817  0.4931  0.2617  0.36
Sztompka 1959   20  0.5550  0.0022  0.0815  0.5039  0.1328  0.25
Tomsic 1995   35  0.5121  0.0038  0.0638  0.2324  0.3027  0.26
Uninsky 1932   57  0.4358  0.0056  0.0374  0.0358  0.0668  0.04
Uninsky 1971   39  0.5048  0.0033  0.0542  0.1364  0.0548  0.08
Wasowski 1980   51  0.4535  0.0057  0.0373  0.0364  0.0478  0.03
Zak 1937   32  0.5118  0.0116  0.1126  0.3961  0.0532  0.14
Zak 1951   26  0.5310  0.0215  0.1513  0.5241  0.2023  0.32
Random 1   90  -0.0988  0.0090  0.0190  0.0180  0.0290  0.01
Random 2   88  -0.0260  0.0089  0.0288  0.0237  0.1655  0.06
Random 3   89  -0.0263  0.0088  0.0289  0.0212  0.4246  0.09

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).