Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.379  0.0116  0.0916  0.4631  0.309  0.37
Anderszewski 2003   4  0.422  0.063  0.305  0.6217  0.572  0.59
Ashkenazy 1981   10  0.3814  0.0115  0.1214  0.4741  0.1911  0.30
Bacha 2000   42  0.3037  0.0042  0.0633  0.2025  0.3014  0.24
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   60  0.2888  0.0070  0.0285  0.0274  0.0480  0.03
Biret 1990   76  0.2256  0.0072  0.0377  0.0382  0.0383  0.03
Blet 2003   45  0.3020  0.0040  0.0546  0.0956  0.0548  0.07
Block 1995   25  0.3480  0.0029  0.0622  0.3458  0.0532  0.13
Blumental 1952   31  0.3347  0.0046  0.0549  0.0562  0.0554  0.05
Boshniakovich 1969   29  0.3366  0.0019  0.1019  0.4183  0.0433  0.13
Brailowsky 1960   24  0.348  0.0126  0.0627  0.2938  0.1817  0.23
Bunin 1987   62  0.2750  0.0052  0.0454  0.0445  0.1050  0.06
Bunin 1987b   53  0.2970  0.0051  0.0456  0.0448  0.0752  0.05
Chiu 1999   39  0.3119  0.0032  0.0631  0.2148  0.0635  0.11
Cohen 1997   79  0.2285  0.0079  0.0375  0.0366  0.0482  0.03
Cortot 1951   85  0.1857  0.0086  0.0289  0.0271  0.0389  0.02
Csalog 1996   26  0.3439  0.0027  0.0629  0.2557  0.0634  0.12
Czerny 1949   80  0.2290  0.0081  0.0551  0.0553  0.0653  0.05
Czerny 1990   37  0.3121  0.0031  0.0730  0.2271  0.0440  0.09
Duchoud 2007   69  0.2528  0.0022  0.0828  0.2932  0.2513  0.27
Ezaki 2006   12  0.3823  0.0017  0.0917  0.4547  0.0919  0.20
Falvay 1989   14  0.3718  0.0012  0.1511  0.5348  0.0622  0.18
Farrell 1958   65  0.2669  0.0075  0.0461  0.0459  0.0559  0.04
Ferenczy 1958   38  0.316  0.0245  0.0644  0.1130  0.5316  0.24
Fliere 1977   13  0.3846  0.0023  0.0724  0.3384  0.0336  0.10
Fou 1978   3  0.434  0.045  0.303  0.6922  0.453  0.56
Francois 1956   87  0.1740  0.0085  0.0379  0.0386  0.0290  0.02
Friedman 1923   11  0.3830  0.0010  0.149  0.5518  0.545  0.54
Friedman 1923b   7  0.3941  0.008  0.198  0.5723  0.524  0.54
Friedman 1930   18  0.3524  0.0025  0.0621  0.3640  0.1318  0.22
Garcia 2007   82  0.2151  0.0077  0.0383  0.0364  0.0563  0.04
Garcia 2007b   77  0.2258  0.0071  0.0286  0.0247  0.0687  0.03
Gierzod 1998   6  0.3925  0.007  0.204  0.6629  0.316  0.45
Gornostaeva 1994   59  0.2875  0.0057  0.0453  0.0457  0.0566  0.04
Groot 1988   34  0.3215  0.0137  0.0643  0.1188  0.0351  0.06
Harasiewicz 1955   21  0.3443  0.0058  0.0455  0.0459  0.0570  0.04
Hatto 1993   22  0.3487  0.0047  0.0548  0.0573  0.0469  0.04
Hatto 1997   33  0.3255  0.0034  0.0837  0.1669  0.0444  0.08
Horowitz 1949   84  0.1945  0.0083  0.0369  0.0374  0.0379  0.03
Indjic 1988   27  0.3359  0.0048  0.0945  0.0968  0.0547  0.07
Kapell 1951   70  0.2564  0.0074  0.0380  0.0373  0.0478  0.03
Kissin 1993   19  0.3572  0.0024  0.0926  0.3154  0.0727  0.15
Kushner 1989   5  0.407  0.014  0.266  0.6231  0.307  0.43
Luisada 1991   49  0.2933  0.0067  0.0288  0.0270  0.0572  0.03
Lushtak 2004   46  0.3060  0.0018  0.0723  0.3438  0.1024  0.18
Malcuzynski 1961   8  0.3810  0.0111  0.1512  0.5241  0.1710  0.30
Magaloff 1978   55  0.2934  0.0056  0.0459  0.0487  0.0375  0.03
Magin 1975   41  0.3076  0.0068  0.0367  0.0359  0.0557  0.04
Michalowski 1933   74  0.2353  0.0069  0.0384  0.0366  0.0562  0.04
Milkina 1970   28  0.3354  0.0028  0.0625  0.3151  0.0629  0.14
Mohovich 1999   61  0.2882  0.0060  0.0463  0.0463  0.0465  0.04
Moravec 1969   50  0.2961  0.0062  0.0378  0.0381  0.0371  0.03
Morozova 2008   2  0.433  0.052  0.252  0.7112  0.541  0.62
Neighaus 1950   73  0.2467  0.0063  0.0381  0.0382  0.0384  0.03
Niedzielski 1931   63  0.265  0.0341  0.0540  0.1443  0.1331  0.13
Ohlsson 1999   16  0.3616  0.016  0.197  0.5724  0.338  0.43
Osinska 1989   52  0.2962  0.0033  0.0635  0.1754  0.0537  0.09
Pachmann 1927   66  0.2665  0.0054  0.0452  0.0440  0.1543  0.08
Paderewski 1930   83  0.1948  0.0084  0.0464  0.0456  0.0560  0.04
Perlemuter 1992   54  0.2952  0.0059  0.0550  0.0572  0.0455  0.04
Pierdomenico 2008   86  0.1791  0.0087  0.0368  0.0371  0.0477  0.03
Poblocka 1999   36  0.3129  0.0038  0.0542  0.1366  0.0541  0.08
Rabcewiczowa 1932   78  0.2244  0.0076  0.0371  0.0363  0.0558  0.04
Rachmaninoff 1923   51  0.2938  0.0065  0.0465  0.0463  0.0456  0.04
Rangell 2001   67  0.2663  0.0053  0.0457  0.0460  0.0567  0.04
Richter 1976   35  0.3217  0.0136  0.0541  0.1364  0.0542  0.08
Rosen 1989   23  0.3483  0.0014  0.1115  0.4655  0.0528  0.15
Rosenthal 1930   48  0.2949  0.0064  0.0372  0.0358  0.0564  0.04
Rosenthal 1931   40  0.3122  0.0039  0.0538  0.1521  0.5612  0.29
Rosenthal 1931b   58  0.2836  0.0050  0.0462  0.0423  0.5030  0.14
Rosenthal 1931c   71  0.2573  0.0073  0.0376  0.0370  0.0385  0.03
Rosenthal 1931d   81  0.2181  0.0080  0.0460  0.0458  0.0568  0.04
Rossi 2007   88  0.0871  0.0088  0.0370  0.0369  0.0474  0.03
Rubinstein 1939   44  0.3086  0.0049  0.0747  0.0749  0.0549  0.06
Rubinstein 1952   75  0.2374  0.0078  0.0374  0.0383  0.0386  0.03
Rubinstein 1966   9  0.3813  0.019  0.1710  0.5443  0.1115  0.24
Schilhawsky 1960   64  0.2642  0.0061  0.0366  0.0365  0.0481  0.03
Shebanova 2002   20  0.3489  0.0020  0.0820  0.4047  0.0823  0.18
Smith 1975   68  0.2626  0.0066  0.0382  0.0380  0.0376  0.03
Sokolov 2002   72  0.2468  0.0082  0.0373  0.0381  0.0373  0.03
Sztompka 1959   56  0.2978  0.0055  0.0458  0.0471  0.0461  0.04
Tomsic 1995   30  0.3311  0.0121  0.0918  0.4157  0.0626  0.16
Uninsky 1932   32  0.3212  0.0130  0.0732  0.2039  0.1425  0.17
Uninsky 1971   17  0.3632  0.0013  0.1313  0.5046  0.0820  0.20
Wasowski 1980   47  0.3035  0.0035  0.0534  0.1784  0.0346  0.07
Zak 1937   57  0.2927  0.0044  0.0739  0.1559  0.0538  0.09
Zak 1951   43  0.3031  0.0043  0.0636  0.1654  0.0539  0.09
Average   1  0.511  0.631  0.621  0.8677  0.0421  0.19
Random 1   89  -0.0177  0.0089  0.0287  0.0228  0.3145  0.08
Random 2   90  -0.0884  0.0091  0.0191  0.0185  0.0291  0.01
Random 3   91  -0.0879  0.0090  0.0190  0.0171  0.0388  0.02

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).