Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.6359  0.0058  0.0548  0.0558  0.0563  0.05
Anderszewski 2003   10  0.7215  0.0111  0.0817  0.3220  0.2618  0.29
Ashkenazy 1981   17  0.6939  0.0019  0.0910  0.3929  0.2316  0.30
Bacha 2000   35  0.633  0.085  0.128  0.415  0.456  0.43
Badura 1965   81  0.5035  0.0083  0.0550  0.0577  0.0378  0.04
Barbosa 1983   70  0.5618  0.0131  0.0527  0.2110  0.4117  0.29
Biret 1990   45  0.6238  0.0029  0.0533  0.1739  0.1038  0.13
Blet 2003   57  0.5956  0.0075  0.0387  0.0362  0.0575  0.04
Block 1995   61  0.5725  0.0121  0.0734  0.1621  0.2522  0.20
Blumental 1952   46  0.6110  0.0316  0.0619  0.3035  0.1323  0.20
Boshniakovich 1969   20  0.6622  0.0139  0.0440  0.0950  0.0654  0.07
Brailowsky 1960   9  0.7212  0.023  0.114  0.472  0.632  0.54
Bunin 1987   86  0.3485  0.0087  0.0464  0.0474  0.0387  0.03
Bunin 1987b   87  0.3373  0.0086  0.0459  0.0469  0.0468  0.04
Chiu 1999   67  0.5782  0.0023  0.0635  0.1639  0.1427  0.15
Cohen 1997   84  0.3958  0.0078  0.0378  0.0325  0.2948  0.09
Cortot 1951   56  0.5986  0.0068  0.0383  0.0370  0.0488  0.03
Csalog 1996   83  0.4742  0.0042  0.0341  0.0834  0.1839  0.12
Czerny 1949   64  0.5746  0.0065  0.0473  0.0446  0.0762  0.05
Czerny 1990   8  0.7243  0.0012  0.0914  0.3729  0.2219  0.29
Duchoud 2007   74  0.5528  0.0163  0.0461  0.0437  0.1452  0.07
Ezaki 2006   7  0.7327  0.0115  0.0712  0.3826  0.299  0.33
Falvay 1989   33  0.6472  0.0056  0.0452  0.0413  0.5233  0.14
Farrell 1958   23  0.6662  0.0018  0.0711  0.3920  0.407  0.39
Ferenczy 1958   26  0.6617  0.0143  0.0539  0.0917  0.3426  0.17
Fliere 1977   4  0.754  0.087  0.093  0.5160  0.0432  0.14
Fou 1978   41  0.6249  0.0051  0.0646  0.0660  0.0460  0.05
Francois 1956   43  0.6283  0.0057  0.0551  0.0540  0.1250  0.08
Friedman 1923   51  0.6034  0.0070  0.0457  0.0467  0.0482  0.04
Friedman 1923b   52  0.6065  0.0069  0.0467  0.0464  0.0579  0.04
Friedman 1930   31  0.6423  0.0167  0.0380  0.0342  0.1651  0.07
Garcia 2007   50  0.6080  0.0066  0.0381  0.0372  0.0386  0.03
Garcia 2007b   38  0.6389  0.0049  0.0647  0.0656  0.0564  0.05
Gierzod 1998   11  0.7213  0.0122  0.0621  0.2662  0.0545  0.11
Gornostaeva 1994   1  0.797  0.034  0.181  0.574  0.531  0.55
Groot 1988   34  0.649  0.0314  0.0718  0.3118  0.398  0.35
Harasiewicz 1955   29  0.6454  0.0045  0.0470  0.0471  0.0481  0.04
Hatto 1993   66  0.5763  0.0071  0.0386  0.0349  0.0680  0.04
Hatto 1997   60  0.5876  0.0073  0.0645  0.0648  0.0657  0.06
Horowitz 1949   77  0.5369  0.0082  0.0454  0.0469  0.0470  0.04
Indjic 1988   59  0.5857  0.0072  0.0374  0.0348  0.0674  0.04
Kapell 1951   32  0.6419  0.0125  0.0524  0.2348  0.0543  0.11
Kissin 1993   21  0.6633  0.0038  0.0438  0.1071  0.0361  0.05
Kushner 1989   16  0.7020  0.0127  0.0529  0.2041  0.1228  0.15
Luisada 1991   12  0.7126  0.0110  0.076  0.4527  0.2410  0.33
Lushtak 2004   48  0.6116  0.0134  0.0630  0.2047  0.0646  0.11
Malcuzynski 1961   76  0.5368  0.0079  0.0469  0.0466  0.0469  0.04
Magaloff 1978   24  0.662  0.098  0.0920  0.2712  0.3913  0.32
Magin 1975   6  0.735  0.066  0.0913  0.3728  0.2515  0.30
Michalowski 1933   53  0.6077  0.0077  0.0379  0.0351  0.0672  0.04
Milkina 1970   13  0.7184  0.0013  0.0815  0.3627  0.3111  0.33
Mohovich 1999   5  0.7467  0.009  0.087  0.4214  0.475  0.44
Moravec 1969   73  0.5547  0.0062  0.0453  0.0419  0.4437  0.13
Morozova 2008   49  0.6040  0.0060  0.0463  0.0449  0.0576  0.04
Neighaus 1950   19  0.678  0.0328  0.0628  0.2073  0.0449  0.09
Niedzielski 1931   30  0.6452  0.0037  0.0537  0.1439  0.1534  0.14
Ohlsson 1999   27  0.6536  0.0040  0.0442  0.0850  0.0556  0.06
Osinska 1989   3  0.786  0.042  0.132  0.5320  0.413  0.47
Pachmann 1927   75  0.5361  0.0084  0.0471  0.0466  0.0384  0.03
Paderewski 1930   69  0.5688  0.0074  0.0375  0.0366  0.0383  0.03
Perlemuter 1992   54  0.5950  0.0052  0.0455  0.0459  0.0466  0.04
Pierdomenico 2008   71  0.5644  0.0053  0.0466  0.0428  0.2942  0.11
Poblocka 1999   65  0.5766  0.0064  0.0472  0.0445  0.0758  0.05
Rabcewiczowa 1932   68  0.5778  0.0059  0.0456  0.0451  0.0567  0.04
Rachmaninoff 1923   42  0.6224  0.0150  0.0549  0.0549  0.0659  0.05
Rangell 2001   79  0.5170  0.0044  0.0443  0.0825  0.3030  0.15
Richter 1976   85  0.3745  0.0085  0.0385  0.0363  0.0571  0.04
Rosen 1989   2  0.781  0.241  0.245  0.4715  0.414  0.44
Rosenthal 1930   63  0.5730  0.0161  0.0458  0.0431  0.1453  0.07
Rosenthal 1931   37  0.6351  0.0047  0.0462  0.048  0.5429  0.15
Rosenthal 1931b   44  0.6274  0.0048  0.0460  0.048  0.5531  0.15
Rosenthal 1931c   58  0.5860  0.0054  0.0376  0.039  0.5041  0.12
Rosenthal 1931d   36  0.6341  0.0041  0.0444  0.078  0.5624  0.20
Rossi 2007   55  0.5964  0.0024  0.0636  0.1514  0.4221  0.25
Rubinstein 1939   39  0.6314  0.0136  0.0931  0.189  0.4120  0.27
Rubinstein 1952   78  0.5231  0.0135  0.0626  0.2115  0.4614  0.31
Rubinstein 1966   25  0.6637  0.0032  0.0623  0.2411  0.4612  0.33
Schilhawsky 1960   80  0.5029  0.0180  0.0377  0.0370  0.0485  0.03
Shebanova 2002   15  0.7187  0.0020  0.0716  0.3666  0.0440  0.12
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   62  0.5711  0.0226  0.0532  0.1729  0.2125  0.19
Sztompka 1959   14  0.7171  0.0017  0.079  0.4062  0.0536  0.14
Tomsic 1995   47  0.6132  0.0155  0.0465  0.0415  0.5035  0.14
Uninsky 1932   72  0.5679  0.0076  0.0384  0.0366  0.0577  0.04
Uninsky 1971   82  0.4921  0.0181  0.0382  0.0354  0.0673  0.04
Wasowski 1980   28  0.6548  0.0046  0.0468  0.0459  0.0565  0.04
Zak 1937   18  0.6855  0.0030  0.0622  0.2550  0.0544  0.11
Zak 1951   22  0.6653  0.0033  0.0525  0.2256  0.0547  0.10
Random 1   90  -0.3281  0.0090  0.0190  0.0185  0.0290  0.01
Random 2   89  -0.3090  0.0089  0.0189  0.0189  0.0189  0.01
Random 3   88  -0.0675  0.0088  0.0288  0.0228  0.2855  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).