Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.5175  0.0067  0.0370  0.0372  0.0373  0.03
Anderszewski 2003   42  0.4933  0.0035  0.0539  0.1341  0.1129  0.12
Ashkenazy 1981   44  0.4830  0.0141  0.0634  0.1857  0.0443  0.08
Bacha 2000   26  0.5659  0.0028  0.0624  0.2628  0.2718  0.26
Badura 1965   74  0.3555  0.0071  0.0373  0.0369  0.0375  0.03
Barbosa 1983   78  0.2513  0.0279  0.0379  0.0382  0.0284  0.02
Biret 1990   45  0.4888  0.0069  0.0371  0.0380  0.0289  0.02
Blet 2003   48  0.4656  0.0055  0.0453  0.0456  0.0457  0.04
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   80  0.1811  0.0343  0.0542  0.1153  0.0446  0.07
Boshniakovich 1969   9  0.673  0.103  0.151  0.561  0.651  0.60
Brailowsky 1960   10  0.674  0.064  0.107  0.3816  0.393  0.38
Bunin 1987   66  0.3989  0.0073  0.0377  0.0371  0.0378  0.03
Bunin 1987b   67  0.3986  0.0074  0.0462  0.0471  0.0365  0.03
Chiu 1999   73  0.3550  0.0058  0.0463  0.0472  0.0454  0.04
Cohen 1997   72  0.3616  0.0119  0.0835  0.1728  0.2623  0.21
Cortot 1951   49  0.4624  0.0153  0.0452  0.0438  0.1744  0.08
Csalog 1996   76  0.3134  0.0087  0.0287  0.0274  0.0385  0.02
Czerny 1949   70  0.3845  0.0052  0.0456  0.0468  0.0372  0.03
Czerny 1990   28  0.5562  0.0056  0.0645  0.0658  0.0451  0.05
Duchoud 2007   61  0.4274  0.0072  0.0378  0.0384  0.0288  0.02
Ezaki 2006   32  0.5469  0.0046  0.0451  0.0474  0.0362  0.03
Falvay 1989   16  0.6282  0.0033  0.0531  0.2259  0.0439  0.09
Farrell 1958   30  0.5515  0.0131  0.0623  0.288  0.3112  0.29
Ferenczy 1958   60  0.4221  0.0177  0.0376  0.0370  0.0371  0.03
Fliere 1977   20  0.6027  0.0136  0.0430  0.2369  0.0434  0.10
Fou 1978   18  0.6129  0.0118  0.0910  0.3631  0.317  0.33
Francois 1956   41  0.4967  0.0057  0.0454  0.0481  0.0379  0.03
Friedman 1923   88  0.0051  0.0082  0.0369  0.0341  0.1647  0.07
Friedman 1923b   87  0.0148  0.0081  0.0283  0.0240  0.1649  0.06
Friedman 1930   81  0.1358  0.0075  0.0375  0.0371  0.0470  0.03
Garcia 2007   43  0.4836  0.0032  0.0632  0.213  0.529  0.33
Garcia 2007b   79  0.1870  0.0054  0.0546  0.0522  0.2238  0.10
Gierzod 1998   47  0.4631  0.0151  0.0460  0.0484  0.0274  0.03
Gornostaeva 1994   5  0.698  0.038  0.085  0.4026  0.2510  0.32
Groot 1988   7  0.6860  0.0015  0.0718  0.3040  0.1224  0.19
Harasiewicz 1955   34  0.5337  0.0011  0.078  0.3832  0.1917  0.27
Hatto 1993   86  0.0446  0.0084  0.0285  0.0287  0.0290  0.02
Hatto 1997   84  0.0783  0.0085  0.0286  0.0287  0.0286  0.02
Horowitz 1949   53  0.4512  0.0234  0.0538  0.1451  0.0542  0.08
Indjic 1988   85  0.0476  0.0086  0.0284  0.0288  0.0283  0.02
Kapell 1951   52  0.4525  0.0170  0.0372  0.0380  0.0281  0.02
Kissin 1993   4  0.7040  0.0012  0.0814  0.3337  0.2020  0.26
Kushner 1989   2  0.7110  0.0310  0.126  0.4028  0.288  0.33
Luisada 1991   29  0.5553  0.0039  0.0528  0.2454  0.0532  0.11
Lushtak 2004   71  0.3790  0.0066  0.0465  0.0481  0.0276  0.03
Malcuzynski 1961   3  0.7017  0.0113  0.0912  0.3442  0.1025  0.18
Magaloff 1978   1  0.751  0.181  0.184  0.4221  0.355  0.38
Magin 1975   23  0.5918  0.0124  0.0522  0.2821  0.2519  0.26
Michalowski 1933   77  0.296  0.057  0.0833  0.1852  0.0540  0.09
Milkina 1970   8  0.6877  0.0014  0.0919  0.3026  0.2614  0.28
Mohovich 1999   14  0.6428  0.0123  0.0616  0.3147  0.0530  0.12
Moravec 1969   40  0.5041  0.0047  0.0458  0.0453  0.0452  0.04
Morozova 2008   62  0.4120  0.0145  0.0448  0.0456  0.0458  0.04
Neighaus 1950   24  0.5838  0.0022  0.0613  0.3344  0.1026  0.18
Niedzielski 1931   54  0.4547  0.0049  0.0455  0.0421  0.2636  0.10
Ohlsson 1999   68  0.3852  0.0080  0.0381  0.0383  0.0282  0.02
Osinska 1989   19  0.6122  0.0137  0.0527  0.2460  0.0435  0.10
Pachmann 1927   69  0.3863  0.0061  0.0368  0.0360  0.0467  0.03
Paderewski 1930   21  0.6026  0.0129  0.0617  0.3030  0.1621  0.22
Perlemuter 1992   12  0.652  0.152  0.152  0.5313  0.422  0.47
Pierdomenico 2008   25  0.5735  0.0030  0.0620  0.2951  0.0433  0.11
Poblocka 1999   37  0.5123  0.0159  0.0547  0.0572  0.0353  0.04
Rabcewiczowa 1932   55  0.4564  0.0064  0.0367  0.0353  0.0463  0.03
Rachmaninoff 1923   57  0.4378  0.0048  0.0459  0.0455  0.0455  0.04
Rangell 2001   11  0.655  0.056  0.1011  0.3530  0.2116  0.27
Richter 1976   15  0.6332  0.0126  0.0626  0.2527  0.1722  0.21
Rosen 1989   6  0.687  0.035  0.099  0.3821  0.386  0.38
Rosenthal 1930   50  0.4566  0.0063  0.0450  0.0460  0.0460  0.04
Rosenthal 1931   31  0.5587  0.0027  0.0629  0.2429  0.3015  0.27
Rosenthal 1931b   27  0.5661  0.0025  0.0625  0.2620  0.3213  0.29
Rosenthal 1931c   33  0.5479  0.0040  0.0543  0.1144  0.0937  0.10
Rosenthal 1931d   13  0.6480  0.0016  0.0821  0.2818  0.3411  0.31
Rossi 2007   46  0.479  0.039  0.1015  0.321  0.454  0.38
Rubinstein 1939   83  0.0871  0.0088  0.0288  0.0274  0.0380  0.02
Rubinstein 1952   36  0.5254  0.0044  0.0641  0.1140  0.1331  0.12
Rubinstein 1966   63  0.4049  0.0076  0.0374  0.0371  0.0368  0.03
Schilhawsky 1960   58  0.4344  0.0050  0.0457  0.0470  0.0369  0.03
Shebanova 2002   35  0.5242  0.0042  0.0537  0.1471  0.0348  0.06
Smith 1975   17  0.6265  0.0017  0.083  0.4258  0.0427  0.13
Sokolov 2002   39  0.5014  0.0221  0.0744  0.1051  0.0545  0.07
Sztompka 1959   65  0.3943  0.0020  0.0640  0.1140  0.1528  0.13
Tomsic 1995   22  0.6057  0.0038  0.0736  0.1666  0.0441  0.08
Uninsky 1932   75  0.3339  0.0078  0.0464  0.0457  0.0559  0.04
Uninsky 1971   59  0.4319  0.0165  0.0466  0.0464  0.0456  0.04
Wasowski 1980   51  0.4584  0.0068  0.0380  0.0343  0.0850  0.05
Zak 1937   64  0.4073  0.0062  0.0461  0.0477  0.0364  0.03
Zak 1951   56  0.4468  0.0060  0.0449  0.0476  0.0366  0.03
Random 1   89  -0.0485  0.0089  0.0189  0.0139  0.1661  0.04
Random 2   90  -0.1181  0.0090  0.0190  0.0155  0.0387  0.02
Random 3   82  0.0872  0.0083  0.0282  0.0248  0.0577  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).