Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.3545  0.0027  0.0532  0.2049  0.0634  0.11
Anderszewski 2003   36  0.3622  0.0035  0.0726  0.2440  0.1926  0.21
Ashkenazy 1981   1  0.555  0.087  0.162  0.6033  0.228  0.36
Bacha 2000   32  0.3735  0.0038  0.0637  0.1733  0.2625  0.21
Badura 1965   34  0.3715  0.0134  0.0635  0.1768  0.0444  0.08
Barbosa 1983   62  0.2869  0.0065  0.0465  0.0460  0.0459  0.04
Biret 1990   52  0.3266  0.0058  0.0458  0.0473  0.0466  0.04
Blet 2003   38  0.3625  0.0057  0.0455  0.0473  0.0461  0.04
Block 1995   76  0.2431  0.0046  0.0550  0.0539  0.1445  0.08
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   6  0.4917  0.0118  0.0924  0.2642  0.1528  0.20
Brailowsky 1960   46  0.3410  0.0253  0.0460  0.0444  0.0950  0.06
Bunin 1987   50  0.3346  0.0055  0.0375  0.0379  0.0378  0.03
Bunin 1987b   49  0.3326  0.0054  0.0374  0.0371  0.0374  0.03
Chiu 1999   31  0.3737  0.0032  0.0631  0.2144  0.0731  0.12
Cohen 1997   84  0.1633  0.0083  0.0382  0.0381  0.0287  0.02
Cortot 1951   12  0.4482  0.0015  0.0912  0.4314  0.385  0.40
Csalog 1996   86  0.1163  0.0089  0.0188  0.0181  0.0290  0.01
Czerny 1949   13  0.4455  0.0010  0.1111  0.4329  0.317  0.37
Czerny 1990   8  0.4739  0.0014  0.107  0.4635  0.1815  0.29
Duchoud 2007   53  0.3274  0.0061  0.0552  0.0565  0.0463  0.04
Ezaki 2006   28  0.3875  0.0026  0.0638  0.1658  0.0440  0.08
Falvay 1989   45  0.3557  0.0068  0.0376  0.0381  0.0372  0.03
Farrell 1958   54  0.3160  0.0059  0.0553  0.0561  0.0456  0.04
Ferenczy 1958   48  0.3314  0.018  0.1123  0.2625  0.3019  0.28
Fliere 1977   35  0.3752  0.0066  0.0456  0.0481  0.0370  0.03
Fou 1978   60  0.3036  0.0069  0.0466  0.0471  0.0457  0.04
Francois 1956   79  0.2176  0.0062  0.0461  0.0453  0.0568  0.04
Friedman 1923   68  0.2664  0.0030  0.0628  0.2418  0.3617  0.29
Friedman 1923b   69  0.2667  0.0029  0.0529  0.2419  0.3614  0.29
Friedman 1930   67  0.2732  0.0037  0.0830  0.2135  0.2424  0.22
Garcia 2007   72  0.2540  0.0060  0.0457  0.0433  0.1939  0.09
Garcia 2007b   59  0.3042  0.0031  0.0633  0.206  0.5311  0.33
Gierzod 1998   4  0.517  0.044  0.133  0.5810  0.412  0.49
Gornostaeva 1994   65  0.2749  0.0076  0.0471  0.0475  0.0379  0.03
Groot 1988   71  0.2650  0.0077  0.0464  0.0475  0.0381  0.03
Harasiewicz 1955   61  0.3041  0.0047  0.0547  0.0587  0.0282  0.03
Hatto 1993   15  0.4365  0.0013  0.1117  0.3529  0.2416  0.29
Hatto 1997   19  0.4229  0.0017  0.1216  0.3523  0.3210  0.33
Horowitz 1949   24  0.3911  0.0221  0.0927  0.2442  0.0929  0.15
Indjic 1988   16  0.4370  0.0016  0.1218  0.3328  0.2418  0.28
Kapell 1951   29  0.382  0.142  0.148  0.4531  0.316  0.37
Kissin 1993   40  0.3638  0.0048  0.0549  0.0562  0.0458  0.04
Kushner 1989   10  0.4518  0.0119  0.0813  0.3934  0.1820  0.26
Luisada 1991   17  0.4227  0.0033  0.0634  0.1943  0.1030  0.14
Lushtak 2004   25  0.3844  0.0028  0.0639  0.1644  0.0835  0.11
Malcuzynski 1961   22  0.409  0.0325  0.0820  0.3056  0.0432  0.11
Magaloff 1978   66  0.2730  0.0071  0.0377  0.0375  0.0371  0.03
Magin 1975   14  0.433  0.133  0.1321  0.2832  0.2122  0.24
Michalowski 1933   21  0.4012  0.029  0.115  0.5013  0.423  0.46
Milkina 1970   56  0.3134  0.0043  0.0444  0.1058  0.0451  0.06
Mohovich 1999   55  0.3119  0.0170  0.0372  0.0378  0.0377  0.03
Moravec 1969   11  0.451  0.191  0.191  0.607  0.501  0.55
Morozova 2008   2  0.524  0.086  0.126  0.4926  0.2112  0.32
Neighaus 1950   39  0.3656  0.0042  0.0541  0.1174  0.0449  0.07
Niedzielski 1931   75  0.2453  0.0051  0.0645  0.0631  0.1637  0.10
Ohlsson 1999   27  0.3871  0.0041  0.0440  0.1373  0.0447  0.07
Osinska 1989   41  0.3683  0.0040  0.0543  0.1049  0.0641  0.08
Pachmann 1927   87  0.0686  0.0088  0.0189  0.0187  0.0289  0.01
Paderewski 1930   18  0.428  0.0324  0.1019  0.3234  0.1723  0.23
Perlemuter 1992   30  0.3728  0.0045  0.0548  0.0548  0.0553  0.05
Pierdomenico 2008   77  0.2387  0.0075  0.0373  0.0377  0.0373  0.03
Poblocka 1999   23  0.4020  0.0123  0.0722  0.2759  0.0436  0.10
Rabcewiczowa 1932   47  0.3484  0.0056  0.0467  0.0436  0.1938  0.09
Rachmaninoff 1923   74  0.2443  0.0050  0.0646  0.0681  0.0355  0.04
Rangell 2001   80  0.2188  0.0082  0.0378  0.0383  0.0288  0.02
Richter 1976   83  0.1779  0.0084  0.0285  0.0279  0.0386  0.02
Rosen 1989   51  0.3385  0.0052  0.0459  0.0481  0.0376  0.03
Rosenthal 1930   58  0.3021  0.0063  0.0462  0.0448  0.0564  0.04
Rosenthal 1931   81  0.2077  0.0080  0.0463  0.0455  0.0460  0.04
Rosenthal 1931b   78  0.2158  0.0078  0.0454  0.0472  0.0383  0.03
Rosenthal 1931c   57  0.3148  0.0067  0.0468  0.0457  0.0467  0.04
Rosenthal 1931d   82  0.1980  0.0079  0.0283  0.0266  0.0480  0.03
Rossi 2007   85  0.1389  0.0085  0.0286  0.0279  0.0285  0.02
Rubinstein 1939   70  0.2661  0.0073  0.0470  0.0435  0.1742  0.08
Rubinstein 1952   73  0.2590  0.0081  0.0381  0.0372  0.0484  0.03
Rubinstein 1966   42  0.3624  0.0064  0.0469  0.0460  0.0562  0.04
Schilhawsky 1960   33  0.3723  0.0036  0.0825  0.2555  0.0533  0.11
Shebanova 2002   9  0.4554  0.0020  0.0914  0.3644  0.1127  0.20
Smith 1975   20  0.4068  0.0022  0.0915  0.3637  0.1821  0.25
Sokolov 2002   37  0.3672  0.0049  0.0551  0.0564  0.0454  0.04
Sztompka 1959   7  0.476  0.065  0.119  0.4533  0.289  0.35
Tomsic 1995   63  0.2851  0.0074  0.0379  0.0372  0.0375  0.03
Uninsky 1932   5  0.4916  0.0112  0.1010  0.4430  0.2113  0.30
Uninsky 1971   3  0.5213  0.0111  0.114  0.5031  0.334  0.41
Wasowski 1980   64  0.2873  0.0072  0.0380  0.0385  0.0369  0.03
Zak 1937   26  0.3878  0.0039  0.0636  0.1767  0.0443  0.08
Zak 1951   43  0.3581  0.0044  0.0542  0.1068  0.0452  0.06
Random 1   90  -0.0247  0.0090  0.0190  0.0131  0.1965  0.04
Random 2   89  0.0159  0.0086  0.0287  0.0224  0.2648  0.07
Random 3   88  0.0262  0.0087  0.0284  0.0218  0.3546  0.08

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).