Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6324  0.007  0.149  0.5312  0.5311  0.53
Anderszewski 2003   59  0.5156  0.0060  0.0559  0.0540  0.1369  0.08
Ashkenazy 1981   13  0.616  0.019  0.1310  0.5111  0.5414  0.52
Bacha 2000   63  0.5080  0.0071  0.0560  0.0526  0.3658  0.13
Badura 1965   72  0.4565  0.0070  0.0473  0.0442  0.2168  0.09
Barbosa 1983   73  0.4557  0.0067  0.0747  0.0739  0.2061  0.12
Biret 1990   29  0.5728  0.0048  0.0649  0.0627  0.2959  0.13
Blet 2003   34  0.5541  0.0040  0.0532  0.224  0.5726  0.35
Block 1995   49  0.523  0.0125  0.0730  0.2310  0.4831  0.33
Blumental 1952   80  0.4086  0.0076  0.0480  0.0447  0.0678  0.05
Boshniakovich 1969   2  0.674  0.012  0.222  0.665  0.682  0.67
Brailowsky 1960   71  0.4859  0.0075  0.0568  0.0551  0.0676  0.05
Bunin 1987   44  0.5332  0.0050  0.0472  0.0414  0.4656  0.14
Bunin 1987b   50  0.5220  0.0055  0.0565  0.0514  0.4752  0.15
Chiu 1999   55  0.5130  0.0047  0.0556  0.0518  0.4549  0.15
Cohen 1997   86  0.3350  0.0085  0.0287  0.0267  0.0489  0.03
Cortot 1951   64  0.5064  0.0049  0.0552  0.0518  0.4354  0.15
Csalog 1996   83  0.3654  0.0084  0.0288  0.0271  0.0488  0.03
Czerny 1949   12  0.6160  0.0010  0.0914  0.4810  0.609  0.54
Czerny 1990   28  0.5835  0.0036  0.0537  0.2040  0.1644  0.18
Duchoud 2007   57  0.5149  0.0062  0.0553  0.0524  0.3755  0.14
Ezaki 2006   26  0.5874  0.0035  0.0642  0.1342  0.1457  0.13
Falvay 1989   67  0.4972  0.0072  0.0479  0.0447  0.0777  0.05
Farrell 1958   23  0.5968  0.0033  0.0539  0.194  0.5730  0.33
Ferenczy 1958   74  0.4373  0.0077  0.0383  0.0343  0.1374  0.06
Fliere 1977   5  0.6626  0.004  0.193  0.6215  0.543  0.58
Fou 1978   30  0.5725  0.0015  0.0821  0.4022  0.4222  0.41
Francois 1956   11  0.6117  0.0013  0.1015  0.483  0.694  0.58
Friedman 1923   66  0.4969  0.0038  0.0540  0.156  0.6034  0.30
Friedman 1923b   62  0.5033  0.0030  0.0538  0.205  0.6425  0.36
Friedman 1930   45  0.5344  0.0044  0.0643  0.136  0.5838  0.27
Garcia 2007   79  0.4145  0.0078  0.0477  0.0443  0.1272  0.07
Garcia 2007b   78  0.4287  0.0073  0.0566  0.0530  0.2066  0.10
Gierzod 1998   7  0.6442  0.008  0.145  0.5711  0.5210  0.54
Gornostaeva 1994   9  0.6316  0.0021  0.1418  0.4313  0.5617  0.49
Groot 1988   24  0.5858  0.0022  0.1122  0.3916  0.4521  0.42
Harasiewicz 1955   20  0.6022  0.003  0.166  0.5716  0.4715  0.52
Hatto 1993   60  0.5077  0.0041  0.0535  0.2117  0.3639  0.27
Hatto 1997   48  0.5252  0.0028  0.0728  0.2820  0.3233  0.30
Horowitz 1949   36  0.5555  0.0053  0.0564  0.0513  0.5745  0.17
Indjic 1988   56  0.5178  0.0042  0.0736  0.2117  0.3536  0.27
Kapell 1951   51  0.5289  0.0064  0.0557  0.0558  0.0482  0.04
Kissin 1993   16  0.6036  0.0018  0.1219  0.4318  0.4919  0.46
Kushner 1989   32  0.5761  0.0052  0.0471  0.0465  0.0581  0.04
Luisada 1991   39  0.5418  0.0043  0.0641  0.1436  0.2843  0.20
Lushtak 2004   15  0.605  0.0119  0.1220  0.4111  0.5318  0.47
Malcuzynski 1961   17  0.6043  0.0031  0.0529  0.2717  0.3632  0.31
Magaloff 1978   19  0.6039  0.0027  0.0626  0.3021  0.3929  0.34
Magin 1975   54  0.5263  0.0054  0.0554  0.0536  0.1667  0.09
Michalowski 1933   70  0.4810  0.0161  0.0746  0.0714  0.4347  0.17
Milkina 1970   41  0.5440  0.0056  0.0567  0.0554  0.0773  0.06
Mohovich 1999   27  0.5866  0.0029  0.0625  0.3027  0.4127  0.35
Moravec 1969   81  0.3976  0.0081  0.0382  0.0354  0.0485  0.03
Morozova 2008   38  0.549  0.0132  0.0531  0.2322  0.3137  0.27
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   69  0.4875  0.0063  0.0476  0.0424  0.3760  0.12
Ohlsson 1999   3  0.672  0.035  0.187  0.576  0.575  0.57
Osinska 1989   18  0.6046  0.0023  0.1123  0.3324  0.4424  0.38
Pachmann 1927   61  0.5021  0.0068  0.0558  0.059  0.5546  0.17
Paderewski 1930   46  0.5315  0.0046  0.0555  0.054  0.4948  0.16
Perlemuter 1992   35  0.5553  0.0024  0.0724  0.328  0.5123  0.40
Pierdomenico 2008   65  0.4913  0.0165  0.0562  0.0511  0.4750  0.15
Poblocka 1999   31  0.578  0.0126  0.0927  0.3021  0.3928  0.34
Rabcewiczowa 1932   40  0.5451  0.0057  0.0650  0.0621  0.3751  0.15
Rachmaninoff 1923   53  0.5267  0.0037  0.0533  0.2127  0.3040  0.25
Rangell 2001   42  0.5311  0.0158  0.0551  0.0514  0.4553  0.15
Richter 1976   68  0.4927  0.0069  0.0470  0.0434  0.2863  0.11
Rosen 1989   10  0.6219  0.0020  0.1512  0.5010  0.5712  0.53
Rosenthal 1930   77  0.4388  0.0079  0.0474  0.0437  0.1770  0.08
Rosenthal 1931   87  0.3382  0.0087  0.0384  0.0356  0.0487  0.03
Rosenthal 1931b   84  0.3581  0.0082  0.0481  0.0454  0.0584  0.04
Rosenthal 1931c   76  0.4362  0.0080  0.0569  0.0544  0.1271  0.08
Rosenthal 1931d   85  0.3484  0.0088  0.0478  0.0460  0.0483  0.04
Rossi 2007   88  0.3290  0.0086  0.0385  0.0350  0.0580  0.04
Rubinstein 1939   82  0.3679  0.0083  0.0286  0.0259  0.0586  0.03
Rubinstein 1952   75  0.4347  0.0074  0.0563  0.0564  0.0579  0.05
Rubinstein 1966   43  0.5370  0.0066  0.0648  0.0640  0.2264  0.11
Schilhawsky 1960   37  0.5437  0.0045  0.0645  0.1220  0.4841  0.24
Shebanova 2002   6  0.6431  0.0017  0.118  0.5410  0.568  0.55
Smith 1975   22  0.5938  0.0016  0.0916  0.446  0.5416  0.49
Sokolov 2002   25  0.5834  0.0034  0.0634  0.2125  0.3435  0.27
Sztompka 1959   4  0.6712  0.016  0.134  0.597  0.547  0.56
Tomsic 1995   52  0.527  0.0159  0.0561  0.0536  0.2362  0.11
Uninsky 1932   58  0.5183  0.0051  0.0475  0.0427  0.3265  0.11
Uninsky 1971   33  0.5748  0.0014  0.0817  0.4412  0.4720  0.45
Wasowski 1980   47  0.5223  0.0039  0.0544  0.1320  0.3842  0.22
Zak 1937   14  0.6114  0.0012  0.1111  0.518  0.616  0.56
Zak 1951   21  0.5929  0.0011  0.0813  0.508  0.5413  0.52
Average   1  0.781  0.791  0.791  0.864  0.581  0.71
Random 1   90  -0.0471  0.0089  0.0289  0.0230  0.2175  0.06
Random 2   91  -0.0891  0.0091  0.0191  0.0190  0.0191  0.01
Random 3   89  -0.0385  0.0090  0.0290  0.0274  0.0390  0.02

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).