Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.6589  0.0045  0.0544  0.1049  0.0566  0.07
Anderszewski 2003   10  0.7249  0.0018  0.1112  0.4611  0.4610  0.46
Ashkenazy 1981   14  0.706  0.017  0.1310  0.5111  0.487  0.49
Bacha 2000   71  0.5377  0.0062  0.0471  0.0422  0.3251  0.11
Badura 1965   67  0.5536  0.0074  0.0383  0.0356  0.0582  0.04
Barbosa 1983   57  0.5818  0.0127  0.0825  0.298  0.5320  0.39
Biret 1990   37  0.6547  0.0022  0.1024  0.3314  0.3826  0.35
Blet 2003   29  0.6648  0.0032  0.0632  0.2118  0.3533  0.27
Block 1995   54  0.6062  0.0057  0.0473  0.0422  0.3355  0.11
Blumental 1952   73  0.5322  0.018  0.1022  0.3413  0.3328  0.33
Boshniakovich 1969   38  0.6580  0.0065  0.0550  0.0552  0.0572  0.05
Brailowsky 1960   19  0.6717  0.0140  0.0438  0.1212  0.4535  0.23
Bunin 1987   70  0.5367  0.0075  0.0382  0.0341  0.1867  0.07
Bunin 1987b   72  0.5390  0.0076  0.0460  0.0443  0.1563  0.08
Chiu 1999   66  0.5686  0.0066  0.0551  0.0532  0.2257  0.10
Cohen 1997   87  0.3991  0.0083  0.0384  0.0321  0.3060  0.09
Cortot 1951   44  0.6371  0.0034  0.0537  0.1321  0.3538  0.21
Csalog 1996   88  0.3887  0.0088  0.0463  0.0451  0.0578  0.04
Czerny 1949   33  0.6575  0.0044  0.0542  0.1174  0.0465  0.07
Czerny 1990   6  0.7526  0.006  0.095  0.5417  0.458  0.49
Duchoud 2007   48  0.6223  0.0037  0.0534  0.1527  0.3337  0.22
Ezaki 2006   2  0.7910  0.012  0.202  0.645  0.583  0.61
Falvay 1989   24  0.674  0.0510  0.0731  0.2311  0.5325  0.35
Farrell 1958   30  0.6633  0.0030  0.1119  0.356  0.5114  0.42
Ferenczy 1958   21  0.675  0.0421  0.0829  0.253  0.5822  0.38
Fliere 1977   4  0.7629  0.0012  0.089  0.5129  0.3018  0.39
Fou 1978   53  0.6039  0.0042  0.0543  0.1141  0.1153  0.11
Francois 1956   28  0.6665  0.0024  0.0928  0.2620  0.4030  0.32
Friedman 1923   86  0.4151  0.0081  0.0457  0.0428  0.2956  0.11
Friedman 1923b   85  0.4174  0.0080  0.0377  0.0327  0.2961  0.09
Friedman 1930   64  0.5741  0.0060  0.0554  0.0515  0.4342  0.15
Garcia 2007   75  0.5385  0.0079  0.0379  0.0365  0.0487  0.03
Garcia 2007b   78  0.4960  0.0072  0.0381  0.0339  0.1268  0.06
Gierzod 1998   11  0.7157  0.0029  0.0726  0.2727  0.3131  0.29
Gornostaeva 1994   3  0.782  0.073  0.243  0.612  0.712  0.66
Groot 1988   26  0.6642  0.0013  0.0715  0.4314  0.4912  0.46
Harasiewicz 1955   15  0.6938  0.0016  0.0718  0.3731  0.2729  0.32
Hatto 1993   83  0.4768  0.0077  0.0286  0.0268  0.0488  0.03
Hatto 1997   76  0.5155  0.0070  0.0375  0.0377  0.0386  0.03
Horowitz 1949   79  0.4982  0.0084  0.0288  0.0280  0.0389  0.02
Indjic 1988   80  0.4872  0.0078  0.0470  0.0478  0.0385  0.03
Kapell 1951   18  0.6812  0.0120  0.1011  0.5017  0.3713  0.43
Kissin 1993   22  0.6732  0.0050  0.0552  0.0551  0.0671  0.05
Kushner 1989   13  0.7114  0.0119  0.0923  0.3327  0.3327  0.33
Luisada 1991   12  0.7161  0.0023  0.0916  0.3921  0.4315  0.41
Lushtak 2004   27  0.6630  0.0014  0.107  0.5312  0.419  0.47
Malcuzynski 1961   40  0.6353  0.0059  0.0469  0.0430  0.2258  0.09
Magaloff 1978   17  0.6825  0.0011  0.0817  0.3715  0.4119  0.39
Magin 1975   31  0.6650  0.0039  0.0445  0.0927  0.2344  0.14
Michalowski 1933   55  0.5931  0.0058  0.0472  0.0429  0.3054  0.11
Milkina 1970   36  0.6559  0.0049  0.0459  0.0439  0.1464  0.07
Mohovich 1999   7  0.7413  0.019  0.098  0.5217  0.496  0.50
Moravec 1969   68  0.5528  0.0071  0.0374  0.0321  0.3752  0.11
Morozova 2008   34  0.6554  0.0036  0.0633  0.1636  0.1740  0.16
Neighaus 1950   16  0.6940  0.0017  0.0814  0.4625  0.3023  0.37
Niedzielski 1931   74  0.5346  0.0082  0.0556  0.0557  0.0475  0.04
Ohlsson 1999   25  0.6634  0.0041  0.0639  0.1235  0.1745  0.14
Osinska 1989   5  0.7619  0.014  0.136  0.5410  0.515  0.52
Pachmann 1927   82  0.4883  0.0086  0.0287  0.0276  0.0484  0.03
Paderewski 1930   41  0.6356  0.0051  0.0546  0.0518  0.3348  0.13
Perlemuter 1992   23  0.6744  0.0026  0.0720  0.3518  0.3624  0.35
Pierdomenico 2008   43  0.6366  0.0064  0.0467  0.0430  0.3449  0.12
Poblocka 1999   45  0.6384  0.0061  0.0378  0.0350  0.0674  0.04
Rabcewiczowa 1932   42  0.6345  0.0038  0.0540  0.119  0.4436  0.22
Rachmaninoff 1923   58  0.5827  0.0035  0.0535  0.1438  0.1443  0.14
Rangell 2001   69  0.5473  0.0067  0.0547  0.0528  0.2850  0.12
Richter 1976   81  0.4869  0.0087  0.0380  0.0363  0.0483  0.03
Rosen 1989   8  0.733  0.065  0.1513  0.4616  0.4711  0.46
Rosenthal 1930   51  0.6120  0.0154  0.0468  0.0412  0.4847  0.14
Rosenthal 1931   52  0.6035  0.0043  0.0536  0.137  0.6232  0.28
Rosenthal 1931b   63  0.5758  0.0052  0.0553  0.057  0.5739  0.17
Rosenthal 1931c   47  0.6216  0.0131  0.0830  0.258  0.6317  0.40
Rosenthal 1931d   60  0.5863  0.0055  0.0555  0.0512  0.4941  0.16
Rossi 2007   62  0.578  0.0133  0.0541  0.113  0.5934  0.25
Rubinstein 1939   84  0.4152  0.0085  0.0289  0.0244  0.1269  0.05
Rubinstein 1952   77  0.5037  0.0047  0.0458  0.0440  0.2162  0.09
Rubinstein 1966   56  0.5921  0.0148  0.0549  0.0524  0.3946  0.14
Schilhawsky 1960   50  0.6124  0.0063  0.0466  0.0457  0.0579  0.04
Shebanova 2002   39  0.6564  0.0056  0.0462  0.0460  0.0481  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   32  0.669  0.0125  0.0721  0.3511  0.4716  0.41
Sztompka 1959   9  0.727  0.0115  0.074  0.5610  0.524  0.54
Tomsic 1995   20  0.6711  0.0128  0.0827  0.2713  0.5321  0.38
Uninsky 1932   61  0.5815  0.0169  0.0461  0.0470  0.0480  0.04
Uninsky 1971   59  0.5843  0.0073  0.0376  0.0352  0.0677  0.04
Wasowski 1980   65  0.5670  0.0068  0.0465  0.0450  0.0573  0.04
Zak 1937   49  0.6181  0.0053  0.0464  0.0462  0.0576  0.04
Zak 1951   46  0.6276  0.0046  0.0548  0.0564  0.0570  0.05
Average   1  0.831  0.551  0.541  0.828  0.541  0.67
Random 1   90  -0.2188  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   91  -0.2378  0.0090  0.0290  0.0288  0.0190  0.01
Random 3   89  0.0079  0.0089  0.0385  0.0323  0.2659  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).