Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5689  0.0050  0.0549  0.0553  0.0468  0.04
Anderszewski 2003   23  0.5924  0.0117  0.0721  0.3429  0.2017  0.26
Ashkenazy 1981   49  0.4832  0.0034  0.0533  0.2065  0.0439  0.09
Bacha 2000   41  0.5035  0.0023  0.0727  0.2732  0.2219  0.24
Badura 1965   58  0.4784  0.0064  0.0374  0.0357  0.0570  0.04
Barbosa 1983   79  0.3448  0.0083  0.0380  0.0378  0.0379  0.03
Biret 1990   50  0.4840  0.0059  0.0466  0.0477  0.0473  0.04
Blet 2003   47  0.4939  0.0052  0.0452  0.0438  0.1347  0.07
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   86  0.2422  0.0147  0.0550  0.0573  0.0371  0.04
Boshniakovich 1969   1  0.675  0.073  0.132  0.5212  0.541  0.53
Brailowsky 1960   13  0.627  0.055  0.1212  0.3915  0.414  0.40
Bunin 1987   70  0.4051  0.0082  0.0368  0.0354  0.0572  0.04
Bunin 1987b   72  0.4041  0.0081  0.0287  0.0253  0.0577  0.03
Chiu 1999   61  0.4611  0.0232  0.0536  0.1745  0.0931  0.12
Cohen 1997   88  0.2328  0.0161  0.0376  0.0338  0.1155  0.06
Cortot 1951   39  0.5156  0.0065  0.0460  0.0443  0.1543  0.08
Csalog 1996   80  0.3054  0.0087  0.0384  0.0378  0.0381  0.03
Czerny 1949   59  0.4627  0.0151  0.0463  0.0471  0.0467  0.04
Czerny 1990   33  0.549  0.0244  0.0545  0.0986  0.0356  0.05
Duchoud 2007   62  0.4588  0.0069  0.0370  0.0372  0.0483  0.03
Ezaki 2006   20  0.6057  0.0033  0.0532  0.2156  0.0438  0.09
Falvay 1989   34  0.5442  0.0046  0.0451  0.0462  0.0558  0.04
Farrell 1958   32  0.5517  0.0124  0.0817  0.3525  0.2610  0.30
Ferenczy 1958   42  0.5020  0.0163  0.0462  0.0460  0.0466  0.04
Fliere 1977   14  0.618  0.039  0.109  0.4343  0.1221  0.23
Fou 1978   21  0.5921  0.0115  0.0616  0.3539  0.1223  0.20
Francois 1956   52  0.4836  0.0067  0.0381  0.0387  0.0291  0.02
Friedman 1923   81  0.2974  0.0077  0.0453  0.0439  0.1744  0.08
Friedman 1923b   82  0.2975  0.0076  0.0385  0.0339  0.1751  0.07
Friedman 1930   78  0.3479  0.0075  0.0378  0.0357  0.0565  0.04
Garcia 2007   38  0.5152  0.0036  0.0634  0.1827  0.3120  0.24
Garcia 2007b   77  0.3576  0.0055  0.0546  0.0531  0.1740  0.09
Gierzod 1998   40  0.5163  0.0054  0.0548  0.0574  0.0369  0.04
Gornostaeva 1994   7  0.6423  0.0113  0.0723  0.3131  0.2712  0.29
Groot 1988   2  0.672  0.122  0.164  0.4921  0.442  0.46
Harasiewicz 1955   9  0.634  0.104  0.145  0.4727  0.316  0.38
Hatto 1993   85  0.2673  0.0084  0.0375  0.0374  0.0485  0.03
Hatto 1997   83  0.2968  0.0085  0.0379  0.0378  0.0382  0.03
Horowitz 1949   29  0.5729  0.0131  0.0724  0.2937  0.3011  0.29
Indjic 1988   84  0.2761  0.0086  0.0464  0.0469  0.0463  0.04
Kapell 1951   56  0.4715  0.0156  0.0456  0.0479  0.0376  0.03
Kissin 1993   8  0.6431  0.0122  0.0619  0.3453  0.0530  0.13
Kushner 1989   6  0.6413  0.0214  0.098  0.4537  0.1713  0.28
Luisada 1991   22  0.5950  0.0028  0.0714  0.3643  0.0826  0.17
Lushtak 2004   65  0.4371  0.0062  0.0373  0.0384  0.0384  0.03
Malcuzynski 1961   15  0.6143  0.0026  0.0729  0.2636  0.1424  0.19
Magaloff 1978   25  0.5847  0.0025  0.0628  0.2653  0.0535  0.11
Magin 1975   24  0.5912  0.0216  0.0620  0.3433  0.1818  0.25
Michalowski 1933   75  0.3772  0.0057  0.0459  0.0462  0.0562  0.04
Milkina 1970   4  0.6637  0.006  0.1110  0.4030  0.258  0.32
Mohovich 1999   17  0.6030  0.0118  0.0718  0.3564  0.0434  0.12
Moravec 1969   71  0.4070  0.0079  0.0288  0.0264  0.0387  0.02
Morozova 2008   43  0.5059  0.0043  0.0540  0.1157  0.0448  0.07
Neighaus 1950   16  0.6026  0.0111  0.097  0.4537  0.1615  0.27
Niedzielski 1931   48  0.4845  0.0045  0.0543  0.1037  0.1532  0.12
Ohlsson 1999   64  0.4483  0.0072  0.0458  0.0485  0.0378  0.03
Osinska 1989   5  0.6518  0.0121  0.0713  0.3946  0.0728  0.17
Pachmann 1927   57  0.4777  0.0073  0.0461  0.0449  0.0561  0.04
Paderewski 1930   36  0.5238  0.0040  0.0541  0.1154  0.0446  0.07
Perlemuter 1992   11  0.626  0.0610  0.093  0.5128  0.257  0.36
Pierdomenico 2008   35  0.5434  0.0019  0.0515  0.3620  0.415  0.38
Poblocka 1999   28  0.5725  0.0139  0.0539  0.1267  0.0445  0.07
Rabcewiczowa 1932   66  0.4380  0.0074  0.0467  0.0451  0.0460  0.04
Rachmaninoff 1923   51  0.4866  0.0049  0.0457  0.0480  0.0375  0.03
Rangell 2001   27  0.571  0.171  0.176  0.457  0.463  0.45
Richter 1976   12  0.6216  0.0127  0.0830  0.2428  0.2816  0.26
Rosen 1989   10  0.6314  0.018  0.1111  0.4027  0.269  0.32
Rosenthal 1930   74  0.3853  0.0080  0.0383  0.0387  0.0289  0.02
Rosenthal 1931   68  0.4186  0.0071  0.0371  0.0367  0.0380  0.03
Rosenthal 1931b   69  0.4178  0.0070  0.0382  0.0359  0.0486  0.03
Rosenthal 1931c   76  0.3646  0.0078  0.0286  0.0267  0.0390  0.02
Rosenthal 1931d   60  0.4690  0.0060  0.0372  0.0335  0.1652  0.07
Rossi 2007   55  0.4719  0.0137  0.0735  0.1730  0.2322  0.20
Rubinstein 1939   87  0.2482  0.0088  0.0465  0.0455  0.0559  0.04
Rubinstein 1952   73  0.3960  0.0058  0.0369  0.0346  0.1057  0.05
Rubinstein 1966   67  0.4133  0.0048  0.0454  0.0460  0.0564  0.04
Schilhawsky 1960   53  0.4810  0.0212  0.0738  0.1548  0.0737  0.10
Shebanova 2002   26  0.5767  0.0030  0.0626  0.2749  0.0533  0.12
Smith 1975   19  0.6069  0.0020  0.0622  0.3373  0.0436  0.11
Sokolov 2002   63  0.4581  0.0068  0.0377  0.0377  0.0374  0.03
Sztompka 1959   37  0.5158  0.0041  0.0642  0.1143  0.1629  0.13
Tomsic 1995   18  0.6044  0.0029  0.0725  0.2732  0.2714  0.27
Uninsky 1932   54  0.4864  0.0066  0.0455  0.0444  0.1249  0.07
Uninsky 1971   45  0.5055  0.0053  0.0547  0.0542  0.1342  0.08
Wasowski 1980   30  0.5665  0.0035  0.0531  0.2438  0.1227  0.17
Zak 1937   46  0.4962  0.0042  0.0544  0.1073  0.0453  0.06
Zak 1951   44  0.5087  0.0038  0.0637  0.1668  0.0441  0.08
Average   3  0.663  0.107  0.121  0.6253  0.0525  0.18
Random 1   90  -0.1085  0.0090  0.0190  0.0125  0.3354  0.06
Random 2   91  -0.2091  0.0091  0.0191  0.0178  0.0388  0.02
Random 3   89  0.0249  0.0089  0.0289  0.0222  0.2650  0.07

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).