Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.539  0.0226  0.0825  0.3063  0.0435  0.11
Anderszewski 2003   59  0.4228  0.0043  0.0643  0.1366  0.0449  0.07
Ashkenazy 1981   43  0.4715  0.0122  0.0823  0.3376  0.0436  0.11
Bacha 2000   55  0.4339  0.0057  0.0458  0.0454  0.0651  0.05
Badura 1965   71  0.3714  0.0168  0.0467  0.0462  0.0567  0.04
Barbosa 1983   58  0.4363  0.0060  0.0457  0.0455  0.0563  0.04
Biret 1990   27  0.5157  0.0016  0.0616  0.4138  0.1618  0.26
Blet 2003   53  0.4453  0.0069  0.0468  0.0472  0.0464  0.04
Block 1995   65  0.4164  0.0071  0.0379  0.0357  0.0482  0.03
Blumental 1952   11  0.552  0.232  0.303  0.703  0.653  0.67
Boshniakovich 1969   72  0.3783  0.0082  0.0386  0.0386  0.0384  0.03
Brailowsky 1960   34  0.4826  0.0045  0.0545  0.1039  0.2327  0.15
Bunin 1987   79  0.3329  0.0087  0.0375  0.0381  0.0385  0.03
Bunin 1987b   80  0.3261  0.0086  0.0388  0.0380  0.0374  0.03
Chiu 1999   64  0.4158  0.0037  0.0736  0.1843  0.1525  0.16
Cohen 1997   78  0.3330  0.0079  0.0549  0.0546  0.0655  0.05
Cortot 1951   45  0.4678  0.0050  0.0462  0.0424  0.3633  0.12
Csalog 1996   23  0.5144  0.0032  0.0638  0.1725  0.4017  0.26
Czerny 1949   8  0.577  0.028  0.204  0.6625  0.416  0.52
Czerny 1990   2  0.661  0.301  0.301  0.787  0.671  0.72
Duchoud 2007   68  0.4042  0.0078  0.0466  0.0461  0.0466  0.04
Ezaki 2006   17  0.5323  0.0018  0.0713  0.4548  0.0723  0.18
Falvay 1989   3  0.614  0.074  0.167  0.6115  0.534  0.57
Farrell 1958   42  0.4743  0.0053  0.0459  0.0460  0.0557  0.04
Ferenczy 1958   50  0.4520  0.0013  0.0742  0.1446  0.0644  0.09
Fliere 1977   28  0.5080  0.0041  0.0539  0.1763  0.0445  0.08
Fou 1978   46  0.4645  0.0044  0.0544  0.1167  0.0548  0.07
Francois 1956   18  0.5371  0.0034  0.0831  0.2347  0.0634  0.12
Friedman 1923   88  0.2288  0.0085  0.0380  0.0362  0.0571  0.04
Friedman 1923b   87  0.2267  0.0084  0.0384  0.0364  0.0569  0.04
Friedman 1930   83  0.3154  0.0070  0.0382  0.0365  0.0565  0.04
Garcia 2007   81  0.3191  0.0080  0.0385  0.0386  0.0381  0.03
Garcia 2007b   86  0.2579  0.0081  0.0387  0.0376  0.0489  0.03
Gierzod 1998   14  0.5324  0.0023  0.0819  0.3954  0.0528  0.14
Gornostaeva 1994   29  0.4932  0.0040  0.0541  0.1644  0.1229  0.14
Groot 1988   31  0.4941  0.0059  0.0646  0.0685  0.0370  0.04
Harasiewicz 1955   51  0.4522  0.0031  0.0629  0.2866  0.0437  0.11
Hatto 1993   77  0.3468  0.0054  0.0461  0.0485  0.0388  0.03
Hatto 1997   73  0.3675  0.0055  0.0463  0.0486  0.0380  0.03
Horowitz 1949   38  0.4749  0.0061  0.0550  0.0544  0.1347  0.08
Indjic 1988   76  0.3586  0.0056  0.0456  0.0487  0.0378  0.03
Kapell 1951   4  0.608  0.029  0.198  0.6043  0.1215  0.27
Kissin 1993   12  0.5533  0.0020  0.1011  0.4941  0.1516  0.27
Kushner 1989   10  0.5670  0.0017  0.0717  0.3945  0.1120  0.21
Luisada 1991   48  0.4548  0.0027  0.0635  0.1961  0.0538  0.10
Lushtak 2004   69  0.4060  0.0065  0.0381  0.0385  0.0290  0.02
Malcuzynski 1961   7  0.576  0.0310  0.229  0.6029  0.2812  0.41
Magaloff 1978   21  0.5218  0.0035  0.0727  0.2946  0.0630  0.13
Magin 1975   62  0.4225  0.0042  0.0540  0.1662  0.0446  0.08
Michalowski 1933   82  0.3117  0.0073  0.0474  0.0466  0.0561  0.04
Milkina 1970   5  0.6013  0.017  0.216  0.6234  0.3010  0.43
Mohovich 1999   39  0.4762  0.0058  0.0547  0.0586  0.0368  0.04
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   66  0.4189  0.0038  0.0634  0.2059  0.0540  0.10
Neighaus 1950   70  0.3987  0.0076  0.0454  0.0482  0.0387  0.03
Niedzielski 1931   6  0.5712  0.015  0.215  0.642  0.712  0.67
Ohlsson 1999   61  0.4240  0.0064  0.0378  0.0368  0.0477  0.03
Osinska 1989   9  0.5682  0.0019  0.0714  0.4461  0.0526  0.15
Pachmann 1927   84  0.3074  0.0088  0.0471  0.0487  0.0276  0.03
Paderewski 1930   56  0.4373  0.0052  0.0460  0.0466  0.0460  0.04
Perlemuter 1992   63  0.4265  0.0072  0.0465  0.0486  0.0372  0.03
Pierdomenico 2008   75  0.3646  0.0075  0.0473  0.0466  0.0456  0.04
Poblocka 1999   25  0.5138  0.0033  0.0837  0.1864  0.0542  0.09
Rabcewiczowa 1932   24  0.5155  0.0014  0.0618  0.3932  0.2114  0.29
Rachmaninoff 1923   22  0.525  0.056  0.2310  0.5921  0.408  0.49
Rangell 2001   60  0.4227  0.0074  0.0377  0.0369  0.0486  0.03
Richter 1976   74  0.3669  0.0083  0.0470  0.0485  0.0375  0.03
Rosen 1989   40  0.4777  0.0046  0.0548  0.0563  0.0554  0.05
Rosenthal 1930   13  0.5416  0.0121  0.0915  0.428  0.627  0.51
Rosenthal 1931   44  0.4636  0.0015  0.0621  0.3414  0.589  0.44
Rosenthal 1931b   49  0.4581  0.0028  0.0628  0.2914  0.5513  0.40
Rosenthal 1931c   15  0.5319  0.0011  0.0812  0.4814  0.605  0.54
Rosenthal 1931d   36  0.4834  0.0029  0.0826  0.3011  0.6011  0.42
Rossi 2007   85  0.3056  0.0077  0.0469  0.0435  0.2043  0.09
Rubinstein 1939   67  0.4131  0.0062  0.0376  0.0341  0.1350  0.06
Rubinstein 1952   19  0.5211  0.0230  0.0724  0.3143  0.1519  0.22
Rubinstein 1966   35  0.4837  0.0047  0.0551  0.0561  0.0653  0.05
Schilhawsky 1960   57  0.4359  0.0063  0.0464  0.0483  0.0379  0.03
Shebanova 2002   26  0.5135  0.0024  0.0720  0.3671  0.0531  0.13
Smith 1975   30  0.4921  0.0025  0.0822  0.3461  0.0432  0.12
Sokolov 2002   54  0.4447  0.0048  0.0453  0.0473  0.0373  0.03
Sztompka 1959   33  0.4952  0.0012  0.0633  0.2165  0.0539  0.10
Tomsic 1995   47  0.4650  0.0066  0.0383  0.0362  0.0559  0.04
Uninsky 1932   32  0.4910  0.0236  0.0730  0.2445  0.1324  0.18
Uninsky 1971   52  0.4451  0.0067  0.0472  0.0462  0.0562  0.04
Wasowski 1980   20  0.5266  0.0039  0.0832  0.2136  0.1721  0.19
Zak 1937   37  0.4890  0.0049  0.0452  0.0447  0.0652  0.05
Zak 1951   41  0.4784  0.0051  0.0455  0.0456  0.0558  0.04
Average   1  0.663  0.123  0.412  0.7665  0.0522  0.19
Random 1   91  -0.0972  0.0090  0.0190  0.0145  0.1083  0.03
Random 2   89  0.0076  0.0089  0.0289  0.023  0.5041  0.10
Random 3   90  -0.0585  0.0091  0.0191  0.0180  0.0291  0.01

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).