Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.2461  0.0066  0.0556  0.0569  0.0474  0.04
Anderszewski 2003   5  0.568  0.016  0.175  0.6826  0.456  0.55
Ashkenazy 1981   71  0.2768  0.0077  0.0473  0.0460  0.0382  0.03
Bacha 2000   68  0.2836  0.0065  0.0561  0.0575  0.0366  0.04
Badura 1965   54  0.3323  0.0063  0.0648  0.0654  0.0659  0.06
Barbosa 1983   7  0.529  0.018  0.188  0.6228  0.3511  0.47
Biret 1990   15  0.4738  0.0023  0.1021  0.4446  0.0634  0.16
Blet 2003   58  0.3214  0.0154  0.0552  0.0540  0.1450  0.08
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   13  0.4912  0.017  0.1811  0.5424  0.4710  0.50
Boshniakovich 1969   73  0.2669  0.0067  0.0479  0.0477  0.0381  0.03
Brailowsky 1960   4  0.565  0.023  0.237  0.6511  0.623  0.63
Bunin 1987   63  0.3053  0.0069  0.0471  0.0465  0.0476  0.04
Bunin 1987b   69  0.2842  0.0074  0.0381  0.0369  0.0479  0.03
Chiu 1999   43  0.3732  0.0038  0.0640  0.1524  0.3027  0.21
Cohen 1997   81  0.1870  0.0083  0.0464  0.0473  0.0383  0.03
Cortot 1951   65  0.2919  0.0019  0.1036  0.2041  0.2128  0.20
Csalog 1996   30  0.4237  0.0014  0.1122  0.4323  0.3418  0.38
Czerny 1949   60  0.3281  0.0064  0.0650  0.0671  0.0465  0.05
Czerny 1990   11  0.4940  0.0021  0.139  0.5646  0.0926  0.22
Duchoud 2007   83  0.1571  0.0081  0.0384  0.0349  0.0675  0.04
Ezaki 2006   3  0.593  0.104  0.254  0.7124  0.475  0.58
Falvay 1989   2  0.621  0.381  0.371  0.833  0.731  0.78
Farrell 1958   51  0.3562  0.0056  0.0557  0.0550  0.0661  0.05
Ferenczy 1958   22  0.4410  0.0113  0.1115  0.4913  0.579  0.53
Fliere 1977   16  0.4616  0.0017  0.1018  0.4649  0.0629  0.17
Fou 1978   8  0.5113  0.019  0.196  0.6616  0.447  0.54
Francois 1956   84  0.1466  0.0084  0.0385  0.0373  0.0384  0.03
Friedman 1923   57  0.3282  0.0053  0.0551  0.0530  0.3044  0.12
Friedman 1923b   56  0.3367  0.0051  0.0746  0.0725  0.3833  0.16
Friedman 1930   75  0.2483  0.0076  0.0469  0.0458  0.0573  0.04
Garcia 2007   77  0.2476  0.0075  0.0382  0.0343  0.1158  0.06
Garcia 2007b   78  0.2063  0.0079  0.0380  0.0385  0.0288  0.02
Gierzod 1998   39  0.3843  0.0032  0.0730  0.2859  0.0540  0.12
Gornostaeva 1994   27  0.4226  0.0026  0.0824  0.3833  0.2721  0.32
Groot 1988   45  0.3624  0.0042  0.0643  0.1451  0.0648  0.09
Harasiewicz 1955   17  0.4611  0.0127  0.0725  0.3564  0.0537  0.13
Hatto 1993   35  0.3931  0.0041  0.0638  0.1772  0.0451  0.08
Hatto 1997   41  0.3820  0.0045  0.0745  0.0771  0.0464  0.05
Horowitz 1949   74  0.2554  0.0071  0.0476  0.0439  0.1453  0.07
Indjic 1988   37  0.3947  0.0044  0.0742  0.1476  0.0454  0.07
Kapell 1951   12  0.496  0.0210  0.2016  0.4929  0.4112  0.45
Kissin 1993   20  0.4552  0.0034  0.0927  0.3336  0.3520  0.34
Kushner 1989   40  0.3830  0.0043  0.0641  0.1563  0.0547  0.09
Luisada 1991   44  0.3677  0.0062  0.0559  0.0560  0.0467  0.04
Lushtak 2004   9  0.4978  0.0022  0.1312  0.5142  0.1823  0.30
Malcuzynski 1961   33  0.4155  0.0028  0.0629  0.3158  0.0539  0.12
Magaloff 1978   34  0.3933  0.0057  0.0466  0.0476  0.0378  0.03
Magin 1975   53  0.3418  0.0047  0.0553  0.0584  0.0370  0.04
Michalowski 1933   86  0.0584  0.0086  0.0286  0.0284  0.0286  0.02
Milkina 1970   38  0.3885  0.0050  0.0649  0.0675  0.0462  0.05
Mohovich 1999   6  0.5522  0.005  0.263  0.7213  0.564  0.63
Moravec 1969   14  0.4928  0.0015  0.1017  0.4823  0.4013  0.44
Morozova 2008   61  0.3174  0.0068  0.0478  0.0472  0.0472  0.04
Neighaus 1950   70  0.277  0.0248  0.0558  0.0532  0.2345  0.11
Niedzielski 1931   59  0.3256  0.0046  0.0747  0.0714  0.4130  0.17
Ohlsson 1999   64  0.3058  0.0052  0.0560  0.0553  0.0563  0.05
Osinska 1989   32  0.4141  0.0035  0.0833  0.2660  0.0638  0.12
Pachmann 1927   82  0.1759  0.0082  0.0470  0.0456  0.0571  0.04
Paderewski 1930   89  -0.0786  0.0088  0.0188  0.0187  0.0289  0.01
Perlemuter 1992   80  0.1848  0.0080  0.0472  0.0456  0.0568  0.04
Pierdomenico 2008   85  0.0779  0.0087  0.0287  0.0286  0.0285  0.02
Poblocka 1999   1  0.642  0.332  0.462  0.793  0.722  0.75
Rabcewiczowa 1932   31  0.414  0.0412  0.1214  0.5025  0.3216  0.40
Rachmaninoff 1923   10  0.4964  0.0018  0.1210  0.5510  0.528  0.53
Rangell 2001   46  0.3650  0.0055  0.0554  0.0546  0.0860  0.06
Richter 1976   26  0.4265  0.0040  0.0839  0.1543  0.1435  0.14
Rosen 1989   49  0.3629  0.0030  0.0734  0.2637  0.2525  0.25
Rosenthal 1930   52  0.3475  0.0060  0.0462  0.0428  0.3841  0.12
Rosenthal 1931   36  0.3915  0.0129  0.0731  0.279  0.5317  0.38
Rosenthal 1931b   72  0.2727  0.0073  0.0465  0.0444  0.1356  0.07
Rosenthal 1931c   47  0.3644  0.0049  0.0555  0.0540  0.1749  0.09
Rosenthal 1931d   62  0.3157  0.0061  0.0463  0.0426  0.3543  0.12
Rossi 2007   79  0.1972  0.0078  0.0477  0.0443  0.1057  0.06
Rubinstein 1939   50  0.3539  0.0037  0.0644  0.1366  0.0452  0.07
Rubinstein 1952   21  0.4551  0.0020  0.1113  0.5050  0.0632  0.17
Rubinstein 1966   19  0.4535  0.0025  0.0923  0.4049  0.0731  0.17
Schilhawsky 1960   67  0.2973  0.0072  0.0475  0.0480  0.0380  0.03
Shebanova 2002   24  0.4349  0.0011  0.1220  0.4521  0.4114  0.43
Smith 1975   48  0.3687  0.0059  0.0474  0.0459  0.0569  0.04
Sokolov 2002   66  0.2934  0.0070  0.0467  0.0471  0.0377  0.03
Sztompka 1959   42  0.3745  0.0031  0.0832  0.2634  0.3124  0.28
Tomsic 1995   28  0.4225  0.0016  0.1028  0.3321  0.3819  0.35
Uninsky 1932   55  0.3321  0.0058  0.0468  0.0443  0.1155  0.07
Uninsky 1971   29  0.4217  0.0036  0.0835  0.2348  0.0736  0.13
Wasowski 1980   25  0.4360  0.0024  0.1019  0.4632  0.3415  0.40
Zak 1937   18  0.4588  0.0033  0.0726  0.3434  0.2922  0.31
Zak 1951   23  0.4389  0.0039  0.0837  0.2055  0.0546  0.10
Random 1   87  0.0346  0.0085  0.0383  0.034  0.5242  0.12
Random 2   88  0.0180  0.0089  0.0189  0.0160  0.0387  0.02
Random 3   90  -0.1190  0.0090  0.0190  0.0185  0.0290  0.01

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).