Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.4175  0.0077  0.0370  0.0364  0.0478  0.03
Anderszewski 2003   36  0.4561  0.0026  0.0633  0.2033  0.2326  0.21
Ashkenazy 1981   26  0.4843  0.0030  0.0625  0.2957  0.0538  0.12
Bacha 2000   35  0.4571  0.0039  0.0834  0.1832  0.3024  0.23
Badura 1965   76  0.3446  0.0067  0.0464  0.0475  0.0381  0.03
Barbosa 1983   79  0.2719  0.0170  0.0377  0.0367  0.0473  0.03
Biret 1990   69  0.3672  0.0084  0.0457  0.0482  0.0384  0.03
Blet 2003   44  0.4378  0.0042  0.0542  0.1153  0.0551  0.07
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   81  0.2411  0.0133  0.0640  0.1451  0.0549  0.08
Boshniakovich 1969   3  0.642  0.222  0.341  0.802  0.771  0.78
Brailowsky 1960   18  0.558  0.0314  0.0818  0.3620  0.3912  0.37
Bunin 1987   71  0.3679  0.0080  0.0288  0.0276  0.0391  0.02
Bunin 1987b   72  0.3680  0.0081  0.0369  0.0377  0.0371  0.03
Chiu 1999   74  0.3438  0.0065  0.0462  0.0481  0.0368  0.03
Cohen 1997   75  0.3429  0.0029  0.0835  0.1835  0.1929  0.18
Cortot 1951   37  0.4428  0.0041  0.0444  0.1029  0.2734  0.16
Csalog 1996   77  0.3118  0.0187  0.0284  0.0266  0.0474  0.03
Czerny 1949   78  0.3181  0.0075  0.0380  0.0382  0.0377  0.03
Czerny 1990   32  0.4762  0.0060  0.0459  0.0470  0.0465  0.04
Duchoud 2007   73  0.3582  0.0082  0.0378  0.0382  0.0380  0.03
Ezaki 2006   41  0.4476  0.0058  0.0374  0.0372  0.0367  0.03
Falvay 1989   28  0.4883  0.0046  0.0448  0.0479  0.0369  0.03
Farrell 1958   58  0.4058  0.0043  0.0441  0.1130  0.2730  0.17
Ferenczy 1958   68  0.3739  0.0083  0.0373  0.0358  0.0476  0.03
Fliere 1977   12  0.5925  0.0016  0.106  0.5530  0.2314  0.36
Fou 1978   16  0.5513  0.0117  0.0813  0.4431  0.3113  0.37
Francois 1956   45  0.4252  0.0062  0.0453  0.0475  0.0386  0.03
Friedman 1923   84  0.1732  0.0074  0.0376  0.0333  0.1752  0.07
Friedman 1923b   83  0.1830  0.0073  0.0286  0.0236  0.1654  0.06
Friedman 1930   80  0.2565  0.0071  0.0283  0.0266  0.0475  0.03
Garcia 2007   39  0.4440  0.0032  0.0622  0.331  0.784  0.51
Garcia 2007b   82  0.2163  0.0064  0.0368  0.0316  0.4040  0.11
Gierzod 1998   47  0.4236  0.0050  0.0455  0.0474  0.0379  0.03
Gornostaeva 1994   9  0.6041  0.0010  0.1212  0.4425  0.3211  0.38
Groot 1988   10  0.6077  0.0015  0.0817  0.4132  0.2419  0.31
Harasiewicz 1955   19  0.5412  0.014  0.164  0.6017  0.376  0.47
Hatto 1993   85  0.1586  0.0079  0.0381  0.0384  0.0385  0.03
Hatto 1997   88  0.1184  0.0086  0.0285  0.0286  0.0389  0.02
Horowitz 1949   40  0.4417  0.0144  0.0545  0.1051  0.0550  0.07
Indjic 1988   86  0.1387  0.0085  0.0371  0.0387  0.0288  0.02
Kapell 1951   48  0.4173  0.0072  0.0379  0.0379  0.0370  0.03
Kissin 1993   7  0.6124  0.0011  0.1115  0.4127  0.3115  0.36
Kushner 1989   5  0.6214  0.016  0.155  0.6011  0.483  0.54
Luisada 1991   27  0.4848  0.0034  0.0629  0.2439  0.1627  0.20
Lushtak 2004   62  0.3866  0.0059  0.0454  0.0470  0.0464  0.04
Malcuzynski 1961   4  0.6327  0.009  0.118  0.5435  0.2316  0.35
Magaloff 1978   1  0.671  0.241  0.239  0.4911  0.407  0.44
Magin 1975   25  0.5054  0.0024  0.0726  0.2918  0.2820  0.28
Michalowski 1933   70  0.3633  0.0027  0.0630  0.2447  0.0636  0.12
Milkina 1970   24  0.5067  0.0035  0.0628  0.2440  0.1728  0.20
Mohovich 1999   11  0.5944  0.0018  0.1010  0.4626  0.3110  0.38
Moravec 1969   34  0.4631  0.0047  0.0450  0.0461  0.0455  0.04
Morozova 2008   51  0.4120  0.0140  0.0637  0.1657  0.0448  0.08
Neighaus 1950   17  0.557  0.038  0.107  0.5434  0.2118  0.34
Niedzielski 1931   52  0.4034  0.0051  0.0456  0.0420  0.2939  0.11
Ohlsson 1999   60  0.3955  0.0078  0.0375  0.0378  0.0372  0.03
Osinska 1989   15  0.5615  0.0123  0.0820  0.3427  0.2221  0.27
Pachmann 1927   54  0.4035  0.0054  0.0452  0.0438  0.1645  0.08
Paderewski 1930   14  0.586  0.0413  0.1214  0.449  0.515  0.47
Perlemuter 1992   6  0.623  0.163  0.232  0.703  0.672  0.68
Pierdomenico 2008   29  0.4816  0.0137  0.1031  0.2322  0.2523  0.24
Poblocka 1999   31  0.4823  0.0038  0.0636  0.1755  0.0543  0.09
Rabcewiczowa 1932   59  0.4045  0.0069  0.0461  0.0450  0.0558  0.04
Rachmaninoff 1923   65  0.3864  0.0049  0.0546  0.0566  0.0457  0.04
Rangell 2001   20  0.5426  0.0019  0.0921  0.3336  0.1922  0.25
Richter 1976   13  0.5810  0.0121  0.0819  0.3622  0.3317  0.34
Rosen 1989   8  0.609  0.0212  0.0916  0.4115  0.439  0.42
Rosenthal 1930   64  0.3885  0.0076  0.0382  0.0347  0.0563  0.04
Rosenthal 1931   67  0.3788  0.0056  0.0372  0.0334  0.2046  0.08
Rosenthal 1931b   63  0.3859  0.0052  0.0460  0.0428  0.2642  0.10
Rosenthal 1931c   42  0.4389  0.0057  0.0465  0.0452  0.0566  0.04
Rosenthal 1931d   38  0.4490  0.0045  0.0543  0.1023  0.2932  0.17
Rossi 2007   61  0.3947  0.0022  0.0924  0.291  0.628  0.42
Rubinstein 1939   87  0.1270  0.0088  0.0287  0.0279  0.0387  0.02
Rubinstein 1952   30  0.4837  0.0031  0.0639  0.1532  0.1933  0.17
Rubinstein 1966   49  0.4160  0.0053  0.0463  0.0467  0.0462  0.04
Schilhawsky 1960   56  0.4057  0.0048  0.0447  0.0442  0.1747  0.08
Shebanova 2002   23  0.5242  0.0028  0.0623  0.3168  0.0537  0.12
Smith 1975   22  0.5250  0.0020  0.0911  0.4658  0.0435  0.14
Sokolov 2002   33  0.4653  0.0025  0.0638  0.1664  0.0444  0.08
Sztompka 1959   43  0.435  0.057  0.1032  0.2036  0.2225  0.21
Tomsic 1995   21  0.5256  0.0036  0.0827  0.2666  0.0441  0.10
Uninsky 1932   66  0.3722  0.0055  0.0367  0.0342  0.1153  0.06
Uninsky 1971   53  0.4021  0.0066  0.0458  0.0457  0.0461  0.04
Wasowski 1980   55  0.4091  0.0068  0.0366  0.0359  0.0556  0.04
Zak 1937   57  0.4051  0.0063  0.0449  0.0471  0.0459  0.04
Zak 1951   46  0.4274  0.0061  0.0451  0.0452  0.0560  0.04
Average   2  0.654  0.055  0.173  0.6962  0.0431  0.17
Random 1   90  -0.0449  0.0090  0.0190  0.0137  0.1282  0.03
Random 2   91  -0.0668  0.0091  0.0191  0.0168  0.0390  0.02
Random 3   89  0.0369  0.0089  0.0289  0.0248  0.0583  0.03

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).