Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.6085  0.0034  0.0731  0.2619  0.3730  0.31
Anderszewski 2003   14  0.6112  0.0212  0.116  0.512  0.607  0.55
Ashkenazy 1981   38  0.5686  0.0026  0.0523  0.3428  0.2731  0.30
Bacha 2000   78  0.3783  0.0079  0.0458  0.0435  0.2356  0.10
Badura 1965   56  0.4747  0.0062  0.0459  0.0423  0.3355  0.11
Barbosa 1983   54  0.4940  0.0052  0.0551  0.0534  0.2952  0.12
Biret 1990   21  0.5919  0.0118  0.0713  0.438  0.5414  0.48
Blet 2003   32  0.5837  0.0022  0.0622  0.344  0.4919  0.41
Block 1995   47  0.5262  0.0045  0.0457  0.0410  0.4650  0.14
Blumental 1952   73  0.4056  0.0028  0.0537  0.1815  0.3639  0.25
Boshniakovich 1969   49  0.5144  0.0060  0.0474  0.0434  0.2460  0.10
Brailowsky 1960   44  0.5349  0.0059  0.0473  0.0431  0.2164  0.09
Bunin 1987   28  0.5931  0.0031  0.0526  0.2817  0.4028  0.33
Bunin 1987b   26  0.5978  0.0032  0.0628  0.2817  0.4026  0.33
Chiu 1999   67  0.4466  0.0077  0.0377  0.0354  0.0578  0.04
Cohen 1997   66  0.4516  0.0148  0.0466  0.042  0.5947  0.15
Cortot 1951   29  0.584  0.068  0.1312  0.451  0.715  0.57
Csalog 1996   82  0.2787  0.0087  0.0284  0.0271  0.0389  0.02
Czerny 1949   3  0.686  0.046  0.174  0.612  0.752  0.68
Czerny 1990   34  0.5788  0.0047  0.0453  0.0447  0.0674  0.05
Duchoud 2007   41  0.5552  0.0039  0.0636  0.1927  0.3837  0.27
Ezaki 2006   1  0.751  0.321  0.311  0.681  0.721  0.70
Falvay 1989   23  0.5932  0.0033  0.0630  0.2618  0.3233  0.29
Farrell 1958   43  0.5439  0.0040  0.0640  0.143  0.6234  0.29
Ferenczy 1958   27  0.5914  0.0220  0.0719  0.371  0.5815  0.46
Fliere 1977   17  0.6042  0.0042  0.0542  0.1247  0.0763  0.09
Fou 1978   52  0.5068  0.0046  0.0549  0.0538  0.1958  0.10
Francois 1956   8  0.645  0.063  0.1711  0.467  0.5513  0.50
Friedman 1923   86  0.1972  0.0082  0.0286  0.0240  0.1276  0.05
Friedman 1923b   87  0.1963  0.0083  0.0380  0.0337  0.1273  0.06
Friedman 1930   74  0.4030  0.0067  0.0547  0.0520  0.4346  0.15
Garcia 2007   85  0.2179  0.0084  0.0382  0.0359  0.0486  0.03
Garcia 2007b   83  0.2480  0.0081  0.0285  0.0251  0.0587  0.03
Gierzod 1998   31  0.587  0.0316  0.1020  0.373  0.5018  0.43
Gornostaeva 1994   2  0.712  0.112  0.162  0.633  0.683  0.65
Groot 1988   15  0.6128  0.0017  0.0727  0.2824  0.3232  0.30
Harasiewicz 1955   4  0.669  0.035  0.155  0.573  0.529  0.54
Hatto 1993   79  0.3665  0.0064  0.0467  0.0426  0.2762  0.10
Hatto 1997   62  0.4526  0.0021  0.0632  0.2311  0.4627  0.33
Horowitz 1949   76  0.3755  0.0080  0.0469  0.0463  0.0481  0.04
Indjic 1988   80  0.3589  0.0068  0.0465  0.0431  0.2266  0.09
Kapell 1951   24  0.5964  0.0024  0.0521  0.3419  0.4520  0.39
Kissin 1993   39  0.5613  0.0243  0.0741  0.1331  0.2941  0.19
Kushner 1989   36  0.5750  0.0053  0.0545  0.0543  0.1267  0.08
Luisada 1991   25  0.5923  0.0144  0.0544  0.0928  0.3242  0.17
Lushtak 2004   18  0.6043  0.0013  0.137  0.513  0.616  0.56
Malcuzynski 1961   10  0.6325  0.0014  0.0917  0.3821  0.3723  0.37
Magaloff 1978   12  0.6220  0.0115  0.1415  0.3912  0.3721  0.38
Magin 1975   51  0.5045  0.0065  0.0475  0.0423  0.2557  0.10
Michalowski 1933   65  0.4534  0.0049  0.0472  0.0420  0.3951  0.12
Milkina 1970   48  0.5227  0.0054  0.0455  0.0437  0.2065  0.09
Mohovich 1999   22  0.5960  0.0037  0.0834  0.2321  0.3536  0.28
Moravec 1969   57  0.4729  0.0069  0.0462  0.0442  0.1169  0.07
Morozova 2008   33  0.5769  0.0029  0.0739  0.1630  0.1644  0.16
Neighaus 1950   6  0.643  0.074  0.203  0.613  0.644  0.62
Niedzielski 1931   81  0.3046  0.0085  0.0283  0.0285  0.0288  0.02
Ohlsson 1999   16  0.6053  0.0025  0.0525  0.2819  0.3135  0.29
Osinska 1989   9  0.6410  0.039  0.129  0.495  0.608  0.54
Pachmann 1927   77  0.3736  0.0070  0.0378  0.0339  0.1570  0.07
Paderewski 1930   35  0.5738  0.0030  0.0729  0.274  0.5422  0.38
Perlemuter 1992   30  0.5870  0.0036  0.0633  0.2317  0.4429  0.32
Pierdomenico 2008   50  0.5181  0.0066  0.0550  0.0523  0.2454  0.11
Poblocka 1999   37  0.5771  0.0023  0.0524  0.3115  0.3825  0.34
Rabcewiczowa 1932   13  0.6218  0.0119  0.0716  0.385  0.6811  0.51
Rachmaninoff 1923   69  0.4173  0.0063  0.0470  0.0453  0.0579  0.04
Rangell 2001   58  0.4722  0.0155  0.0464  0.0443  0.1372  0.07
Richter 1976   63  0.4590  0.0078  0.0460  0.0455  0.0482  0.04
Rosen 1989   40  0.5657  0.0038  0.0738  0.1716  0.4338  0.27
Rosenthal 1930   45  0.5274  0.0050  0.0471  0.0417  0.5149  0.14
Rosenthal 1931   64  0.4558  0.0051  0.0548  0.0512  0.5143  0.16
Rosenthal 1931b   72  0.4141  0.0057  0.0546  0.058  0.5445  0.16
Rosenthal 1931c   46  0.5251  0.0035  0.0735  0.217  0.6424  0.37
Rosenthal 1931d   70  0.4148  0.0056  0.0379  0.037  0.5053  0.12
Rossi 2007   60  0.4661  0.0073  0.0454  0.043  0.5248  0.14
Rubinstein 1939   84  0.2376  0.0086  0.0288  0.0268  0.0484  0.03
Rubinstein 1952   59  0.4717  0.0158  0.0452  0.0452  0.0775  0.05
Rubinstein 1966   55  0.4733  0.0071  0.0476  0.0435  0.2459  0.10
Schilhawsky 1960   42  0.5524  0.0041  0.0543  0.1221  0.3740  0.21
Shebanova 2002   61  0.4559  0.0075  0.0456  0.0458  0.0583  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   5  0.668  0.0311  0.148  0.503  0.5510  0.52
Sztompka 1959   20  0.6077  0.0027  0.0718  0.389  0.4817  0.43
Tomsic 1995   7  0.6411  0.027  0.1414  0.4311  0.4316  0.43
Uninsky 1932   53  0.5021  0.0161  0.0468  0.0442  0.1171  0.07
Uninsky 1971   11  0.6215  0.0210  0.1510  0.476  0.5312  0.50
Wasowski 1980   75  0.3954  0.0074  0.0463  0.0457  0.0577  0.04
Zak 1937   71  0.4184  0.0076  0.0381  0.0368  0.0485  0.03
Zak 1951   68  0.4482  0.0072  0.0461  0.0465  0.0480  0.04
Random 1   90  -0.0535  0.0090  0.0190  0.0158  0.0390  0.02
Random 2   89  -0.0275  0.0089  0.0289  0.0215  0.3368  0.08
Random 3   88  0.0567  0.0088  0.0287  0.024  0.4961  0.10

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).