Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.6588  0.0044  0.0543  0.1048  0.0565  0.07
Anderszewski 2003   9  0.7249  0.0017  0.1211  0.4610  0.469  0.46
Ashkenazy 1981   13  0.7010  0.026  0.139  0.5110  0.486  0.49
Bacha 2000   70  0.5368  0.0061  0.0470  0.0421  0.3250  0.11
Badura 1965   66  0.5542  0.0073  0.0382  0.0355  0.0581  0.04
Barbosa 1983   56  0.5825  0.0126  0.0824  0.297  0.5319  0.39
Biret 1990   36  0.6548  0.0021  0.1023  0.3313  0.3825  0.35
Blet 2003   28  0.6643  0.0031  0.0631  0.2117  0.3532  0.27
Block 1995   53  0.6064  0.0056  0.0472  0.0421  0.3354  0.11
Blumental 1952   72  0.538  0.037  0.1021  0.3412  0.3327  0.33
Boshniakovich 1969   37  0.6579  0.0064  0.0549  0.0551  0.0571  0.05
Brailowsky 1960   18  0.6722  0.0139  0.0437  0.1211  0.4534  0.23
Bunin 1987   69  0.5367  0.0074  0.0381  0.0340  0.1866  0.07
Bunin 1987b   71  0.5389  0.0075  0.0459  0.0442  0.1562  0.08
Chiu 1999   65  0.5685  0.0065  0.0550  0.0531  0.2256  0.10
Cohen 1997   86  0.3990  0.0082  0.0383  0.0320  0.3059  0.09
Cortot 1951   43  0.6373  0.0033  0.0536  0.1320  0.3537  0.21
Csalog 1996   87  0.3886  0.0087  0.0462  0.0450  0.0577  0.04
Czerny 1949   32  0.6575  0.0043  0.0541  0.1173  0.0464  0.07
Czerny 1990   5  0.7515  0.015  0.094  0.5416  0.457  0.49
Duchoud 2007   47  0.6227  0.0136  0.0533  0.1526  0.3336  0.22
Ezaki 2006   1  0.791  0.201  0.201  0.644  0.582  0.61
Falvay 1989   23  0.674  0.089  0.0830  0.2310  0.5324  0.35
Farrell 1958   29  0.6633  0.0029  0.1118  0.355  0.5113  0.42
Ferenczy 1958   20  0.675  0.0620  0.0928  0.253  0.5821  0.38
Fliere 1977   3  0.7624  0.0111  0.088  0.5128  0.3017  0.39
Fou 1978   52  0.6032  0.0041  0.0542  0.1140  0.1152  0.11
Francois 1956   27  0.6661  0.0023  0.0927  0.2619  0.4029  0.32
Friedman 1923   85  0.4151  0.0080  0.0456  0.0427  0.2955  0.11
Friedman 1923b   84  0.4169  0.0079  0.0376  0.0326  0.2960  0.09
Friedman 1930   63  0.5738  0.0059  0.0553  0.0514  0.4341  0.15
Garcia 2007   74  0.5384  0.0078  0.0378  0.0364  0.0486  0.03
Garcia 2007b   77  0.4962  0.0071  0.0380  0.0338  0.1267  0.06
Gierzod 1998   10  0.7157  0.0028  0.0725  0.2726  0.3130  0.29
Gornostaeva 1994   2  0.782  0.182  0.252  0.611  0.711  0.66
Groot 1988   25  0.6636  0.0012  0.0714  0.4313  0.4911  0.46
Harasiewicz 1955   14  0.6937  0.0015  0.0717  0.3730  0.2728  0.32
Hatto 1993   82  0.4766  0.0076  0.0285  0.0267  0.0487  0.03
Hatto 1997   75  0.5145  0.0069  0.0374  0.0376  0.0385  0.03
Horowitz 1949   78  0.4981  0.0083  0.0287  0.0279  0.0388  0.02
Indjic 1988   79  0.4872  0.0077  0.0469  0.0477  0.0384  0.03
Kapell 1951   17  0.6812  0.0119  0.1010  0.5016  0.3712  0.43
Kissin 1993   21  0.6734  0.0049  0.0551  0.0550  0.0670  0.05
Kushner 1989   12  0.7118  0.0118  0.0922  0.3326  0.3326  0.33
Luisada 1991   11  0.7159  0.0022  0.0915  0.3920  0.4314  0.41
Lushtak 2004   26  0.669  0.0313  0.106  0.5311  0.418  0.47
Malcuzynski 1961   39  0.6352  0.0058  0.0468  0.0429  0.2257  0.09
Magaloff 1978   16  0.6811  0.0210  0.0816  0.3714  0.4118  0.39
Magin 1975   30  0.6650  0.0038  0.0444  0.0926  0.2343  0.14
Michalowski 1933   54  0.5931  0.0057  0.0471  0.0428  0.3053  0.11
Milkina 1970   35  0.6554  0.0048  0.0458  0.0438  0.1463  0.07
Mohovich 1999   6  0.747  0.038  0.097  0.5216  0.495  0.50
Moravec 1969   67  0.5523  0.0170  0.0373  0.0320  0.3751  0.11
Morozova 2008   33  0.6555  0.0035  0.0632  0.1635  0.1739  0.16
Neighaus 1950   15  0.6935  0.0016  0.0813  0.4624  0.3022  0.37
Niedzielski 1931   73  0.5341  0.0081  0.0555  0.0556  0.0474  0.04
Ohlsson 1999   24  0.6630  0.0040  0.0638  0.1234  0.1744  0.14
Osinska 1989   4  0.766  0.063  0.135  0.549  0.514  0.52
Pachmann 1927   81  0.4882  0.0085  0.0286  0.0275  0.0483  0.03
Paderewski 1930   40  0.6356  0.0050  0.0545  0.0517  0.3347  0.13
Perlemuter 1992   22  0.6744  0.0025  0.0719  0.3517  0.3623  0.35
Pierdomenico 2008   42  0.6365  0.0063  0.0466  0.0429  0.3448  0.12
Poblocka 1999   44  0.6383  0.0060  0.0377  0.0349  0.0673  0.04
Rabcewiczowa 1932   41  0.6347  0.0037  0.0539  0.118  0.4435  0.22
Rachmaninoff 1923   57  0.5828  0.0134  0.0534  0.1437  0.1442  0.14
Rangell 2001   68  0.5474  0.0066  0.0546  0.0527  0.2849  0.12
Richter 1976   80  0.4870  0.0086  0.0379  0.0362  0.0482  0.03
Rosen 1989   7  0.733  0.094  0.1512  0.4615  0.4710  0.46
Rosenthal 1930   50  0.6126  0.0153  0.0467  0.0411  0.4846  0.14
Rosenthal 1931   51  0.6040  0.0042  0.0535  0.136  0.6231  0.28
Rosenthal 1931b   62  0.5758  0.0051  0.0552  0.056  0.5738  0.17
Rosenthal 1931c   46  0.6220  0.0130  0.0829  0.257  0.6316  0.40
Rosenthal 1931d   59  0.5863  0.0054  0.0554  0.0511  0.4940  0.16
Rossi 2007   61  0.5716  0.0132  0.0540  0.113  0.5933  0.25
Rubinstein 1939   83  0.4153  0.0084  0.0288  0.0243  0.1268  0.05
Rubinstein 1952   76  0.5039  0.0046  0.0457  0.0439  0.2161  0.09
Rubinstein 1966   55  0.5919  0.0147  0.0548  0.0523  0.3945  0.14
Schilhawsky 1960   49  0.6129  0.0062  0.0465  0.0456  0.0578  0.04
Shebanova 2002   38  0.6560  0.0055  0.0461  0.0459  0.0580  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   31  0.6613  0.0124  0.0720  0.3510  0.4715  0.41
Sztompka 1959   8  0.7214  0.0114  0.083  0.569  0.523  0.54
Tomsic 1995   19  0.6717  0.0127  0.0826  0.2712  0.5320  0.38
Uninsky 1932   60  0.5821  0.0168  0.0460  0.0469  0.0479  0.04
Uninsky 1971   58  0.5846  0.0072  0.0375  0.0351  0.0676  0.04
Wasowski 1980   64  0.5671  0.0067  0.0464  0.0449  0.0572  0.04
Zak 1937   48  0.6180  0.0052  0.0463  0.0461  0.0575  0.04
Zak 1951   45  0.6276  0.0045  0.0547  0.0563  0.0569  0.05
Random 1   89  -0.2187  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   90  -0.2377  0.0089  0.0289  0.0287  0.0289  0.02
Random 3   88  0.0078  0.0088  0.0384  0.0324  0.2558  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).