Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5631  0.0037  0.0839  0.2249  0.0644  0.11
Anderszewski 2003   33  0.5416  0.0041  0.0641  0.1934  0.1937  0.19
Ashkenazy 1981   41  0.5237  0.0049  0.0851  0.0859  0.0461  0.06
Bacha 2000   34  0.5422  0.0043  0.0742  0.189  0.5327  0.31
Badura 1965   59  0.4447  0.0052  0.0754  0.0746  0.0857  0.07
Barbosa 1983   19  0.5919  0.008  0.157  0.663  0.685  0.67
Biret 1990   24  0.5662  0.0031  0.1227  0.3837  0.1733  0.25
Blet 2003   42  0.5180  0.0047  0.1146  0.1140  0.1243  0.11
Block 1995   63  0.4436  0.0050  0.0755  0.0741  0.1351  0.10
Blumental 1952   55  0.4757  0.0056  0.0660  0.0669  0.0467  0.05
Boshniakovich 1969   50  0.5030  0.0027  0.0734  0.2747  0.0741  0.14
Brailowsky 1960   46  0.5152  0.0057  0.0849  0.0837  0.2339  0.14
Bunin 1987   81  0.3472  0.0084  0.0385  0.0380  0.0388  0.03
Bunin 1987b   82  0.3458  0.0085  0.0478  0.0483  0.0383  0.03
Chiu 1999   45  0.5181  0.0036  0.0737  0.2632  0.3129  0.28
Cohen 1997   60  0.4459  0.0044  0.0643  0.1513  0.4631  0.26
Cortot 1951   69  0.4179  0.0074  0.0469  0.0469  0.0478  0.04
Csalog 1996   37  0.5365  0.0025  0.0930  0.3411  0.5818  0.44
Czerny 1949   52  0.4825  0.0055  0.0850  0.0865  0.0460  0.06
Czerny 1990   13  0.6010  0.0118  0.1116  0.5533  0.2523  0.37
Duchoud 2007   58  0.4669  0.0063  0.0466  0.0465  0.0475  0.04
Ezaki 2006   15  0.5926  0.0020  0.0918  0.5235  0.2325  0.35
Falvay 1989   17  0.5914  0.0023  0.1220  0.4719  0.4915  0.48
Farrell 1958   23  0.5712  0.0119  0.0924  0.4111  0.4717  0.44
Ferenczy 1958   57  0.4613  0.0067  0.0470  0.0455  0.0473  0.04
Fliere 1977   14  0.6070  0.0016  0.1017  0.5347  0.0736  0.19
Fou 1978   6  0.644  0.035  0.305  0.706  0.636  0.66
Francois 1956   44  0.5151  0.0046  0.0756  0.0742  0.1647  0.11
Friedman 1923   85  0.2975  0.0086  0.0288  0.0276  0.0489  0.03
Friedman 1923b   87  0.2991  0.0087  0.0484  0.0481  0.0476  0.04
Friedman 1930   84  0.3087  0.0083  0.0386  0.0379  0.0485  0.03
Garcia 2007   75  0.3855  0.0066  0.0479  0.0439  0.1653  0.08
Garcia 2007b   83  0.3085  0.0064  0.0467  0.0456  0.0480  0.04
Gierzod 1998   31  0.5539  0.0039  0.0635  0.2746  0.0740  0.14
Gornostaeva 1994   40  0.5238  0.0034  0.0933  0.2834  0.2532  0.26
Groot 1988   20  0.5927  0.0015  0.1310  0.628  0.5210  0.57
Harasiewicz 1955   54  0.4844  0.0032  0.0728  0.3645  0.1434  0.22
Hatto 1993   30  0.5518  0.0029  0.0825  0.3918  0.3424  0.36
Hatto 1997   21  0.5823  0.0024  0.1221  0.4617  0.3520  0.40
Horowitz 1949   72  0.4073  0.0076  0.0481  0.0482  0.0384  0.03
Indjic 1988   26  0.5649  0.0030  0.0926  0.3921  0.3126  0.35
Kapell 1951   32  0.549  0.0133  0.0836  0.2667  0.0450  0.10
Kissin 1993   11  0.6032  0.0013  0.229  0.6319  0.4811  0.55
Kushner 1989   7  0.6315  0.009  0.1512  0.6210  0.539  0.57
Luisada 1991   22  0.5856  0.0022  0.1222  0.4425  0.4319  0.43
Lushtak 2004   12  0.6035  0.0012  0.1813  0.6116  0.4912  0.55
Malcuzynski 1961   56  0.4643  0.0059  0.0662  0.0667  0.0465  0.05
Magaloff 1978   38  0.5333  0.0045  0.0645  0.1371  0.0454  0.07
Magin 1975   62  0.4460  0.0061  0.0658  0.0668  0.0464  0.05
Michalowski 1933   88  0.2283  0.0088  0.0474  0.0473  0.0471  0.04
Milkina 1970   5  0.666  0.026  0.334  0.783  0.673  0.72
Mohovich 1999   3  0.683  0.063  0.233  0.792  0.772  0.78
Moravec 1969   53  0.4853  0.0060  0.0661  0.0651  0.0562  0.05
Morozova 2008   28  0.5540  0.0021  0.1023  0.4334  0.2028  0.29
Neighaus 1950   36  0.5374  0.0038  0.0840  0.2248  0.0645  0.11
Niedzielski 1931   77  0.3786  0.0078  0.0475  0.0457  0.0382  0.03
Ohlsson 1999   25  0.5624  0.0042  0.0644  0.1548  0.0652  0.09
Osinska 1989   9  0.627  0.027  0.288  0.659  0.567  0.60
Pachmann 1927   68  0.4248  0.0071  0.0465  0.0445  0.1255  0.07
Paderewski 1930   64  0.4484  0.0062  0.0468  0.0452  0.0570  0.04
Perlemuter 1992   48  0.5046  0.0051  0.0659  0.0651  0.0658  0.06
Pierdomenico 2008   65  0.4229  0.0058  0.1047  0.1043  0.1149  0.10
Poblocka 1999   39  0.5217  0.0048  0.0853  0.0861  0.0559  0.06
Rabcewiczowa 1932   49  0.5042  0.0040  0.0838  0.2339  0.1735  0.20
Rachmaninoff 1923   70  0.4121  0.0065  0.0473  0.0463  0.0468  0.04
Rangell 2001   47  0.5028  0.0026  0.0832  0.308  0.4721  0.38
Richter 1976   74  0.4066  0.0077  0.0480  0.0465  0.0469  0.04
Rosen 1989   29  0.5564  0.0028  0.0629  0.3635  0.1930  0.26
Rosenthal 1930   79  0.3754  0.0082  0.0387  0.0377  0.0387  0.03
Rosenthal 1931   73  0.4041  0.0070  0.0476  0.0430  0.3542  0.12
Rosenthal 1931b   78  0.3782  0.0080  0.0757  0.0741  0.1646  0.11
Rosenthal 1931c   71  0.4076  0.0079  0.0563  0.0563  0.0479  0.04
Rosenthal 1931d   80  0.3667  0.0081  0.0471  0.0457  0.0577  0.04
Rossi 2007   86  0.2989  0.0073  0.0483  0.0427  0.2748  0.10
Rubinstein 1939   4  0.688  0.024  0.246  0.672  0.734  0.70
Rubinstein 1952   2  0.711  0.481  0.482  0.861  0.811  0.83
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   66  0.4261  0.0072  0.0564  0.0562  0.0566  0.05
Shebanova 2002   18  0.5978  0.0017  0.1219  0.5025  0.4216  0.46
Smith 1975   35  0.5350  0.0035  0.0731  0.3146  0.0838  0.16
Sokolov 2002   61  0.4434  0.0068  0.0482  0.0481  0.0381  0.03
Sztompka 1959   43  0.5163  0.0053  0.0852  0.0861  0.0656  0.07
Tomsic 1995   16  0.5911  0.0114  0.1314  0.608  0.618  0.60
Uninsky 1932   76  0.3871  0.0075  0.0477  0.0465  0.0574  0.04
Uninsky 1971   67  0.4245  0.0069  0.0472  0.0467  0.0572  0.04
Wasowski 1980   51  0.4988  0.0054  0.0848  0.0884  0.0363  0.05
Zak 1937   8  0.625  0.0310  0.1815  0.5513  0.5313  0.54
Zak 1951   10  0.6120  0.0011  0.2111  0.6215  0.4714  0.54
Average   1  0.732  0.232  0.411  0.8743  0.1622  0.37
Random 1   91  -0.1177  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   89  -0.0290  0.0089  0.0289  0.0251  0.0586  0.03
Random 3   90  -0.0568  0.0090  0.0290  0.0277  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).