Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.603  0.182  0.312  0.6323  0.413  0.51
Anderszewski 2003   20  0.4910  0.0121  0.0727  0.3461  0.0437  0.12
Ashkenazy 1981   14  0.5116  0.0113  0.1211  0.5135  0.249  0.35
Bacha 2000   78  0.3257  0.0068  0.0470  0.0472  0.0463  0.04
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   45  0.4364  0.0054  0.0651  0.0669  0.0460  0.05
Biret 1990   68  0.3863  0.0063  0.0471  0.0464  0.0575  0.04
Blet 2003   26  0.4865  0.0037  0.0535  0.2956  0.0538  0.12
Block 1995   55  0.4176  0.0052  0.0563  0.0573  0.0372  0.04
Blumental 1952   65  0.3951  0.0071  0.0468  0.0465  0.0473  0.04
Boshniakovich 1969   6  0.5527  0.004  0.097  0.5620  0.394  0.47
Brailowsky 1960   72  0.3646  0.0077  0.0476  0.0473  0.0465  0.04
Bunin 1987   44  0.4415  0.0133  0.1132  0.3224  0.3413  0.33
Bunin 1987b   43  0.449  0.0132  0.0731  0.3323  0.378  0.35
Chiu 1999   54  0.4277  0.0056  0.0748  0.0775  0.0357  0.05
Cohen 1997   84  0.2589  0.0081  0.0385  0.0363  0.0487  0.03
Cortot 1951   66  0.3960  0.0070  0.0474  0.0459  0.0577  0.04
Csalog 1996   71  0.3748  0.0060  0.0652  0.0638  0.2139  0.11
Czerny 1949   13  0.5287  0.0023  0.0621  0.3837  0.2116  0.28
Czerny 1990   12  0.5252  0.0029  0.0730  0.3360  0.0443  0.11
Duchoud 2007   46  0.4313  0.0119  0.0520  0.3925  0.367  0.37
Ezaki 2006   3  0.5723  0.015  0.088  0.5642  0.1317  0.27
Falvay 1989   60  0.408  0.0166  0.0469  0.0470  0.0468  0.04
Farrell 1958   74  0.3469  0.0079  0.0381  0.0381  0.0383  0.03
Ferenczy 1958   56  0.4114  0.0162  0.0562  0.0544  0.1348  0.08
Fliere 1977   7  0.5535  0.009  0.0912  0.5143  0.1120  0.24
Fou 1978   17  0.516  0.0214  0.1510  0.5144  0.1022  0.23
Francois 1956   59  0.4075  0.0064  0.0557  0.0554  0.0479  0.04
Friedman 1923   49  0.4331  0.0038  0.0639  0.2411  0.4711  0.34
Friedman 1923b   47  0.4359  0.0036  0.0637  0.2514  0.4610  0.34
Friedman 1930   31  0.4737  0.0039  0.0540  0.2132  0.2523  0.23
Garcia 2007   85  0.2556  0.0083  0.0384  0.0380  0.0386  0.03
Garcia 2007b   83  0.2658  0.0082  0.0387  0.0353  0.0489  0.03
Gierzod 1998   11  0.5236  0.008  0.086  0.5741  0.246  0.37
Gornostaeva 1994   33  0.4684  0.0040  0.0738  0.2448  0.0542  0.11
Groot 1988   48  0.4325  0.0150  0.0565  0.0587  0.0376  0.04
Harasiewicz 1955   4  0.565  0.0212  0.1215  0.4348  0.0627  0.16
Hatto 1993   52  0.4353  0.0020  0.0634  0.3154  0.0634  0.14
Hatto 1997   41  0.4417  0.0115  0.1016  0.4258  0.0533  0.14
Horowitz 1949   57  0.4144  0.0065  0.0560  0.0552  0.0559  0.05
Indjic 1988   50  0.4355  0.0018  0.0725  0.3646  0.0826  0.17
Kapell 1951   63  0.3949  0.0058  0.0467  0.0476  0.0470  0.04
Kissin 1993   8  0.5424  0.0110  0.115  0.5844  0.1119  0.25
Kushner 1989   10  0.5361  0.006  0.084  0.6040  0.1514  0.30
Luisada 1991   53  0.4343  0.0053  0.0650  0.0667  0.0455  0.05
Lushtak 2004   28  0.4778  0.0031  0.0733  0.3275  0.0441  0.11
Malcuzynski 1961   19  0.4938  0.0028  0.0719  0.3955  0.0532  0.14
Magaloff 1978   61  0.4072  0.0057  0.0559  0.0578  0.0367  0.04
Magin 1975   39  0.4568  0.0044  0.0744  0.1352  0.0546  0.08
Michalowski 1933   58  0.4067  0.0061  0.0556  0.0549  0.0753  0.06
Milkina 1970   25  0.487  0.0230  0.0728  0.3457  0.0631  0.14
Mohovich 1999   51  0.4379  0.0055  0.0747  0.0776  0.0361  0.05
Moravec 1969   70  0.3722  0.0174  0.0561  0.0566  0.0464  0.04
Morozova 2008   2  0.591  0.261  0.251  0.668  0.491  0.57
Neighaus 1950   37  0.4574  0.0042  0.0741  0.2172  0.0445  0.09
Niedzielski 1931   77  0.3221  0.0176  0.0473  0.0475  0.0382  0.03
Ohlsson 1999   16  0.5145  0.007  0.099  0.5337  0.2012  0.33
Osinska 1989   24  0.4871  0.0041  0.0742  0.1980  0.0444  0.09
Pachmann 1927   73  0.3666  0.0067  0.0378  0.0336  0.2047  0.08
Paderewski 1930   62  0.3920  0.0169  0.0475  0.0452  0.0571  0.04
Perlemuter 1992   32  0.4662  0.0048  0.0558  0.0546  0.0656  0.05
Pierdomenico 2008   82  0.2786  0.0085  0.0382  0.0386  0.0380  0.03
Poblocka 1999   21  0.4932  0.0025  0.0726  0.3553  0.0630  0.14
Rabcewiczowa 1932   67  0.3847  0.0073  0.0554  0.0586  0.0369  0.04
Rachmaninoff 1923   36  0.4630  0.0047  0.0746  0.0764  0.0458  0.05
Rangell 2001   69  0.3741  0.0051  0.0466  0.0456  0.0574  0.04
Richter 1976   27  0.4812  0.0135  0.1136  0.2729  0.3215  0.29
Rosen 1989   38  0.4550  0.0017  0.0829  0.3357  0.0536  0.13
Rosenthal 1930   64  0.3940  0.0059  0.0555  0.0533  0.2340  0.11
Rosenthal 1931   81  0.2782  0.0078  0.0383  0.0357  0.0484  0.03
Rosenthal 1931b   86  0.2488  0.0084  0.0380  0.0364  0.0488  0.03
Rosenthal 1931c   75  0.3373  0.0072  0.0472  0.0444  0.1054  0.06
Rosenthal 1931d   87  0.2290  0.0086  0.0386  0.0385  0.0290  0.02
Rossi 2007   79  0.3183  0.0087  0.0477  0.0468  0.0466  0.04
Rubinstein 1939   80  0.2839  0.0080  0.0379  0.0385  0.0381  0.03
Rubinstein 1952   76  0.3254  0.0075  0.0564  0.0570  0.0478  0.04
Rubinstein 1966   40  0.4429  0.0045  0.0845  0.0853  0.0750  0.07
Schilhawsky 1960   18  0.4933  0.0034  0.1323  0.3743  0.1521  0.24
Shebanova 2002   22  0.4970  0.0024  0.0717  0.4052  0.0629  0.15
Smith 1975   35  0.4642  0.0049  0.0749  0.0753  0.0552  0.06
Sokolov 2002   30  0.4734  0.0027  0.0822  0.3738  0.1818  0.26
Sztompka 1959   15  0.5118  0.0116  0.0818  0.4051  0.0628  0.15
Tomsic 1995   42  0.4426  0.0143  0.0843  0.1643  0.1035  0.13
Uninsky 1932   9  0.5419  0.0111  0.1114  0.4321  0.425  0.42
Uninsky 1971   5  0.552  0.223  0.353  0.6117  0.442  0.52
Wasowski 1980   29  0.474  0.0346  0.0653  0.0649  0.0651  0.06
Zak 1937   34  0.4611  0.0126  0.0724  0.3643  0.1224  0.21
Zak 1951   23  0.4928  0.0022  0.0613  0.4349  0.0725  0.17
Random 1   88  -0.0380  0.0088  0.0288  0.0215  0.3449  0.08
Random 2   89  -0.0481  0.0090  0.0190  0.0140  0.1285  0.03
Random 3   90  -0.0485  0.0089  0.0189  0.0126  0.2662  0.05

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).