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  0.6837  0.0042  0.0541  0.1320  0.3044  0.20
Anderszewski 2003   21  0.7223  0.0112  0.0810  0.333  0.577  0.43
Ashkenazy 1981   26  0.7143  0.005  0.088  0.3512  0.4510  0.40
Bacha 2000   78  0.4389  0.0082  0.0368  0.0359  0.0482  0.03
Badura 1965   53  0.6068  0.0053  0.0549  0.0514  0.4149  0.14
Barbosa 1983   51  0.6146  0.0059  0.0550  0.0528  0.3250  0.13
Biret 1990   38  0.6841  0.0039  0.0531  0.209  0.4333  0.29
Blet 2003   14  0.733  0.053  0.102  0.454  0.542  0.49
Block 1995   50  0.6250  0.0049  0.0459  0.043  0.4254  0.13
Blumental 1952   76  0.456  0.0210  0.0839  0.1710  0.3540  0.24
Boshniakovich 1969   48  0.6390  0.0052  0.0454  0.0423  0.2663  0.10
Brailowsky 1960   49  0.6320  0.0167  0.0373  0.0339  0.1371  0.06
Bunin 1987   18  0.7329  0.0033  0.0522  0.269  0.4620  0.35
Bunin 1987b   19  0.7381  0.0034  0.0623  0.269  0.4617  0.35
Chiu 1999   63  0.5573  0.0074  0.0374  0.0343  0.1172  0.06
Cohen 1997   82  0.3854  0.0080  0.0380  0.0330  0.2566  0.09
Cortot 1951   44  0.6611  0.0211  0.0829  0.236  0.5024  0.34
Csalog 1996   85  0.2980  0.0088  0.0287  0.0269  0.0389  0.02
Czerny 1949   11  0.7447  0.0019  0.0414  0.3012  0.4914  0.38
Czerny 1990   4  0.7772  0.0026  0.0513  0.3014  0.3923  0.34
Duchoud 2007   36  0.6862  0.0030  0.0517  0.2815  0.4419  0.35
Ezaki 2006   2  0.8410  0.022  0.204  0.439  0.514  0.47
Falvay 1989   32  0.702  0.0713  0.0634  0.1922  0.3138  0.24
Farrell 1958   45  0.6656  0.0047  0.0553  0.052  0.5846  0.17
Ferenczy 1958   37  0.684  0.0318  0.0536  0.194  0.5625  0.33
Fliere 1977   3  0.7738  0.0024  0.0620  0.2621  0.3034  0.28
Fou 1978   60  0.5833  0.0057  0.0455  0.0440  0.1868  0.08
Francois 1956   30  0.7039  0.008  0.0830  0.2215  0.3336  0.27
Friedman 1923   87  0.2274  0.0072  0.0379  0.0315  0.4362  0.11
Friedman 1923b   86  0.2282  0.0071  0.0369  0.0315  0.4261  0.11
Friedman 1930   71  0.5035  0.0050  0.0457  0.048  0.4551  0.13
Garcia 2007   75  0.4585  0.0083  0.0371  0.0311  0.4060  0.11
Garcia 2007b   84  0.3670  0.0081  0.0282  0.024  0.4467  0.09
Gierzod 1998   25  0.715  0.0214  0.0724  0.266  0.4027  0.32
Gornostaeva 1994   5  0.778  0.029  0.0912  0.316  0.5013  0.39
Groot 1988   33  0.6951  0.0032  0.0532  0.2023  0.3041  0.24
Harasiewicz 1955   12  0.7414  0.017  0.097  0.377  0.4411  0.40
Hatto 1993   83  0.3857  0.0070  0.0466  0.0417  0.3558  0.12
Hatto 1997   77  0.4569  0.0048  0.0552  0.0514  0.4048  0.14
Horowitz 1949   74  0.4665  0.0085  0.0464  0.0475  0.0387  0.03
Indjic 1988   81  0.3864  0.0069  0.0284  0.0216  0.3965  0.09
Kapell 1951   17  0.7315  0.0117  0.0615  0.298  0.5212  0.39
Kissin 1993   41  0.6728  0.0055  0.0367  0.0341  0.1770  0.07
Kushner 1989   16  0.7348  0.0036  0.0637  0.1915  0.3735  0.27
Luisada 1991   23  0.7130  0.0045  0.0545  0.1013  0.4043  0.20
Lushtak 2004   20  0.7236  0.006  0.103  0.435  0.563  0.49
Malcuzynski 1961   9  0.7432  0.0023  0.0416  0.2916  0.4218  0.35
Magaloff 1978   27  0.7131  0.0020  0.0425  0.2618  0.4026  0.32
Magin 1975   58  0.5886  0.0073  0.0283  0.0233  0.2073  0.06
Michalowski 1933   54  0.5944  0.0028  0.0626  0.2512  0.4522  0.34
Milkina 1970   56  0.5945  0.0066  0.0378  0.0357  0.0578  0.04
Mohovich 1999   7  0.7463  0.0021  0.0421  0.2624  0.3332  0.29
Moravec 1969   66  0.5577  0.0077  0.0285  0.0246  0.0583  0.03
Morozova 2008   31  0.7083  0.0037  0.0533  0.208  0.3537  0.26
Neighaus 1950   22  0.7217  0.014  0.095  0.428  0.525  0.47
Niedzielski 1931   80  0.4266  0.0086  0.0372  0.0346  0.0577  0.04
Ohlsson 1999   39  0.6860  0.0044  0.0543  0.1119  0.3145  0.18
Osinska 1989   6  0.7416  0.0135  0.0619  0.265  0.5315  0.37
Pachmann 1927   79  0.4255  0.0079  0.0376  0.0354  0.0580  0.04
Paderewski 1930   28  0.7034  0.0040  0.0540  0.161  0.5530  0.30
Perlemuter 1992   10  0.7452  0.0031  0.0527  0.258  0.4521  0.34
Pierdomenico 2008   29  0.7042  0.0054  0.0551  0.0527  0.2659  0.11
Poblocka 1999   35  0.6927  0.0015  0.0611  0.329  0.498  0.40
Rabcewiczowa 1932   34  0.6918  0.0143  0.0544  0.116  0.4842  0.23
Rachmaninoff 1923   67  0.5475  0.0063  0.0547  0.0532  0.1864  0.09
Rangell 2001   62  0.5721  0.0151  0.0463  0.0451  0.0676  0.05
Richter 1976   57  0.5891  0.0078  0.0375  0.0350  0.0488  0.03
Rosen 1989   43  0.6712  0.0141  0.0642  0.1211  0.5039  0.24
Rosenthal 1930   47  0.6449  0.0056  0.0460  0.0416  0.4453  0.13
Rosenthal 1931   59  0.5861  0.0058  0.0646  0.068  0.5047  0.17
Rosenthal 1931b   69  0.5340  0.0060  0.0462  0.0411  0.4255  0.13
Rosenthal 1931c   46  0.6526  0.0038  0.0538  0.187  0.5828  0.32
Rosenthal 1931d   68  0.5353  0.0061  0.0458  0.0412  0.3857  0.12
Rossi 2007   64  0.5559  0.0064  0.0456  0.045  0.3556  0.12
Rubinstein 1939   88  0.2078  0.0089  0.0288  0.0254  0.0585  0.03
Rubinstein 1952   72  0.4867  0.0065  0.0381  0.0352  0.0681  0.04
Rubinstein 1966   70  0.5322  0.0176  0.0377  0.0330  0.2469  0.08
Schilhawsky 1960   24  0.717  0.0216  0.059  0.347  0.479  0.40
Shebanova 2002   55  0.5984  0.0068  0.0461  0.0454  0.0675  0.05
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   8  0.749  0.0227  0.0618  0.278  0.4616  0.35
Sztompka 1959   15  0.7324  0.0125  0.056  0.382  0.546  0.45
Tomsic 1995   13  0.7325  0.0122  0.0528  0.2416  0.3829  0.30
Uninsky 1932   52  0.6113  0.0146  0.0548  0.0527  0.3352  0.13
Uninsky 1971   42  0.6719  0.0129  0.0535  0.1913  0.4531  0.29
Wasowski 1980   73  0.4871  0.0084  0.0370  0.0362  0.0484  0.03
Zak 1937   65  0.5576  0.0075  0.0286  0.0247  0.0686  0.03
Zak 1951   61  0.5879  0.0062  0.0465  0.0461  0.0579  0.04
Average   1  0.861  0.501  0.501  0.701  0.611  0.65
Random 1   90  -0.1058  0.0091  0.0191  0.0177  0.0391  0.02
Random 2   91  -0.1687  0.0090  0.0290  0.0276  0.0290  0.02
Random 3   89  0.0588  0.0087  0.0289  0.0232  0.1674  0.06

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).