Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6156  0.0034  0.0622  0.3236  0.2827  0.30
Anderszewski 2003   46  0.536  0.0121  0.0833  0.2626  0.3329  0.29
Ashkenazy 1981   48  0.528  0.0125  0.0527  0.2844  0.1541  0.20
Bacha 2000   68  0.4646  0.0084  0.0553  0.0550  0.0671  0.05
Badura 1965   57  0.4934  0.0046  0.0556  0.0520  0.3948  0.14
Barbosa 1983   83  0.3839  0.0082  0.0471  0.0446  0.0775  0.05
Biret 1990   54  0.5188  0.0059  0.0465  0.0463  0.0586  0.04
Blet 2003   66  0.4673  0.0083  0.0469  0.0464  0.0483  0.04
Block 1995   39  0.5576  0.0040  0.0836  0.2121  0.3632  0.27
Blumental 1952   74  0.4225  0.0022  0.0843  0.1525  0.2640  0.20
Boshniakovich 1969   3  0.677  0.016  0.219  0.556  0.678  0.61
Brailowsky 1960   60  0.4853  0.0077  0.0380  0.0348  0.0772  0.05
Bunin 1987   36  0.5518  0.0036  0.0630  0.276  0.5619  0.39
Bunin 1987b   35  0.5536  0.0037  0.0732  0.276  0.5718  0.39
Chiu 1999   82  0.3837  0.0079  0.0385  0.0355  0.0579  0.04
Cohen 1997   88  0.2277  0.0088  0.0468  0.0475  0.0485  0.04
Cortot 1951   47  0.5348  0.0062  0.0460  0.0412  0.5547  0.15
Csalog 1996   78  0.3952  0.0086  0.0377  0.0366  0.0488  0.03
Czerny 1949   9  0.643  0.083  0.252  0.754  0.741  0.74
Czerny 1990   5  0.6519  0.008  0.155  0.6710  0.644  0.65
Duchoud 2007   70  0.4526  0.0068  0.0373  0.0356  0.0584  0.04
Ezaki 2006   4  0.6632  0.004  0.174  0.673  0.672  0.67
Falvay 1989   55  0.5189  0.0063  0.0466  0.0445  0.1068  0.06
Farrell 1958   52  0.5171  0.0066  0.0462  0.0446  0.0774  0.05
Ferenczy 1958   75  0.4141  0.0087  0.0464  0.0469  0.0389  0.03
Fliere 1977   7  0.6550  0.0014  0.1010  0.5437  0.3413  0.43
Fou 1978   34  0.5582  0.0028  0.0628  0.2839  0.2136  0.24
Francois 1956   40  0.5562  0.0050  0.0552  0.0537  0.2457  0.11
Friedman 1923   85  0.3660  0.0081  0.0376  0.0327  0.3160  0.10
Friedman 1923b   86  0.3681  0.0080  0.0382  0.0328  0.2561  0.09
Friedman 1930   72  0.4444  0.0057  0.0458  0.0426  0.3255  0.11
Garcia 2007   79  0.3851  0.0078  0.0383  0.0335  0.2166  0.08
Garcia 2007b   84  0.3754  0.0075  0.0388  0.0328  0.2167  0.08
Gierzod 1998   11  0.6465  0.0011  0.107  0.6015  0.509  0.55
Gornostaeva 1994   2  0.6833  0.005  0.158  0.575  0.687  0.62
Groot 1988   23  0.5847  0.0027  0.0426  0.3138  0.2135  0.26
Harasiewicz 1955   13  0.612  0.102  0.333  0.702  0.623  0.66
Hatto 1993   80  0.3872  0.0039  0.0745  0.1427  0.2044  0.17
Hatto 1997   76  0.4070  0.0031  0.0541  0.1644  0.0952  0.12
Horowitz 1949   27  0.5720  0.0041  0.0637  0.2111  0.5921  0.35
Indjic 1988   77  0.4074  0.0029  0.0538  0.1724  0.2439  0.20
Kapell 1951   15  0.6011  0.0123  0.0723  0.3236  0.2331  0.27
Kissin 1993   6  0.6510  0.017  0.186  0.6411  0.625  0.63
Kushner 1989   12  0.634  0.0418  0.1613  0.4623  0.3814  0.42
Luisada 1991   64  0.4686  0.0073  0.0384  0.0372  0.0487  0.03
Lushtak 2004   56  0.5031  0.0054  0.0551  0.0562  0.0577  0.05
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   8  0.6438  0.0012  0.1111  0.5012  0.4411  0.47
Magin 1975   19  0.5978  0.0016  0.1016  0.3620  0.4217  0.39
Michalowski 1933   71  0.4449  0.0067  0.0550  0.0538  0.2554  0.11
Milkina 1970   10  0.6430  0.0017  0.1114  0.4430  0.3616  0.40
Mohovich 1999   29  0.5767  0.0033  0.0531  0.2736  0.2634  0.26
Moravec 1969   28  0.575  0.0210  0.1229  0.289  0.6015  0.41
Morozova 2008   53  0.5122  0.0044  0.0644  0.1462  0.0564  0.08
Neighaus 1950   16  0.6045  0.0024  0.0617  0.3629  0.2725  0.31
Niedzielski 1931   50  0.5229  0.0055  0.0463  0.0427  0.3353  0.11
Ohlsson 1999   38  0.5555  0.0061  0.0459  0.0456  0.0582  0.04
Osinska 1989   22  0.5813  0.0130  0.0520  0.3335  0.2528  0.29
Pachmann 1927   69  0.4564  0.0076  0.0379  0.0328  0.3459  0.10
Paderewski 1930   43  0.5466  0.0052  0.0647  0.0611  0.3646  0.15
Perlemuter 1992   59  0.4880  0.0058  0.0555  0.0544  0.1363  0.08
Pierdomenico 2008   58  0.4842  0.0065  0.0461  0.0434  0.2358  0.10
Poblocka 1999   32  0.5628  0.0051  0.0554  0.0562  0.0573  0.05
Rabcewiczowa 1932   62  0.4775  0.0072  0.0374  0.0358  0.0581  0.04
Rachmaninoff 1923   41  0.5540  0.0015  0.1015  0.4013  0.4812  0.44
Rangell 2001   21  0.5915  0.0019  0.1125  0.3117  0.4120  0.36
Richter 1976   33  0.5568  0.0042  0.0740  0.1721  0.4033  0.26
Rosen 1989   20  0.5957  0.0032  0.0534  0.2431  0.2338  0.23
Rosenthal 1930   44  0.5484  0.0053  0.0746  0.0718  0.4942  0.19
Rosenthal 1931   63  0.4783  0.0069  0.0378  0.0315  0.5750  0.13
Rosenthal 1931b   67  0.4685  0.0070  0.0387  0.0315  0.5451  0.13
Rosenthal 1931c   37  0.5561  0.0047  0.0649  0.0611  0.6243  0.19
Rosenthal 1931d   61  0.4859  0.0071  0.0372  0.0319  0.4356  0.11
Rossi 2007   81  0.3827  0.0064  0.0375  0.034  0.5649  0.13
Rubinstein 1939   87  0.3217  0.0085  0.0381  0.0361  0.0580  0.04
Rubinstein 1952   73  0.4414  0.0074  0.0386  0.0378  0.0490  0.03
Rubinstein 1966   65  0.4663  0.0056  0.0467  0.0462  0.0676  0.05
Schilhawsky 1960   31  0.5779  0.0038  0.0735  0.2429  0.3630  0.29
Shebanova 2002   25  0.5716  0.0049  0.0648  0.0641  0.1265  0.08
Smith 1975   42  0.5491  0.0048  0.0557  0.0547  0.0869  0.06
Sokolov 2002   17  0.6021  0.0035  0.0721  0.3222  0.3723  0.34
Sztompka 1959   18  0.599  0.0120  0.0924  0.3227  0.2826  0.30
Tomsic 1995   24  0.5843  0.0045  0.0842  0.1619  0.3437  0.23
Uninsky 1932   26  0.5712  0.019  0.1412  0.496  0.6010  0.54
Uninsky 1971   30  0.5723  0.0013  0.1019  0.3524  0.3622  0.35
Wasowski 1980   51  0.5235  0.0060  0.0470  0.0439  0.1562  0.08
Zak 1937   49  0.5258  0.0043  0.0539  0.1741  0.1645  0.16
Zak 1951   45  0.5424  0.0026  0.0518  0.3530  0.3024  0.32
Average   1  0.761  0.621  0.611  0.8724  0.446  0.62
Random 1   90  -0.0590  0.0090  0.0190  0.0120  0.3078  0.05
Random 2   91  -0.0569  0.0091  0.0191  0.0167  0.0391  0.02
Random 3   89  0.0087  0.0089  0.0189  0.0120  0.3170  0.06

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).