Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.4144  0.0062  0.0366  0.0348  0.0572  0.04
Anderszewski 2003   16  0.5311  0.025  0.129  0.6720  0.508  0.58
Ashkenazy 1981   24  0.496  0.0334  0.0840  0.1821  0.3529  0.25
Bacha 2000   61  0.3752  0.0072  0.0377  0.0351  0.0477  0.03
Badura 1965   60  0.3782  0.0058  0.0364  0.0349  0.0759  0.05
Barbosa 1983   8  0.5633  0.0014  0.1712  0.6029  0.3417  0.45
Biret 1990   27  0.4647  0.0038  0.0737  0.2555  0.0544  0.11
Blet 2003   56  0.3943  0.0052  0.0452  0.0434  0.1752  0.08
Block 1995   44  0.4253  0.0044  0.0743  0.1439  0.1539  0.14
Blumental 1952   53  0.3945  0.0047  0.0548  0.0572  0.0475  0.04
Boshniakovich 1969   21  0.5083  0.0017  0.1216  0.5924  0.3318  0.44
Brailowsky 1960   42  0.4363  0.0042  0.0642  0.1642  0.1536  0.15
Bunin 1987   70  0.3364  0.0065  0.0463  0.0468  0.0476  0.04
Bunin 1987b   72  0.3258  0.0056  0.0462  0.0455  0.0567  0.04
Chiu 1999   58  0.3839  0.0055  0.0368  0.0345  0.0756  0.05
Cohen 1997   79  0.2776  0.0082  0.0380  0.0377  0.0384  0.03
Cortot 1951   71  0.3326  0.0022  0.1232  0.2926  0.3724  0.33
Csalog 1996   47  0.4248  0.0043  0.0544  0.1253  0.0551  0.08
Czerny 1949   7  0.573  0.093  0.187  0.6720  0.645  0.65
Czerny 1990   5  0.585  0.072  0.221  0.7216  0.672  0.69
Duchoud 2007   77  0.2965  0.0080  0.0384  0.0352  0.0673  0.04
Ezaki 2006   3  0.5921  0.0010  0.124  0.6920  0.517  0.59
Falvay 1989   19  0.5141  0.0031  0.1026  0.3847  0.0637  0.15
Farrell 1958   32  0.4624  0.0023  0.1521  0.5122  0.4116  0.46
Ferenczy 1958   68  0.3485  0.0081  0.0286  0.0264  0.0582  0.03
Fliere 1977   20  0.5161  0.0025  0.1022  0.4471  0.0535  0.15
Fou 1978   18  0.5228  0.0024  0.1020  0.5134  0.2422  0.35
Francois 1956   73  0.3177  0.0079  0.0375  0.0365  0.0488  0.03
Friedman 1923   85  0.2425  0.0059  0.0370  0.0343  0.0960  0.05
Friedman 1923b   84  0.2520  0.0153  0.0453  0.0443  0.1154  0.07
Friedman 1930   81  0.2632  0.0068  0.0369  0.0373  0.0480  0.03
Garcia 2007   74  0.3178  0.0069  0.0372  0.0365  0.0483  0.03
Garcia 2007b   64  0.3562  0.0046  0.0646  0.0653  0.0655  0.06
Gierzod 1998   4  0.5916  0.0111  0.156  0.6830  0.3413  0.48
Gornostaeva 1994   36  0.4570  0.0040  0.0938  0.2343  0.0840  0.14
Groot 1988   51  0.3929  0.0036  0.0736  0.2673  0.0447  0.10
Harasiewicz 1955   11  0.5518  0.0112  0.1318  0.5633  0.4114  0.48
Hatto 1993   67  0.3486  0.0066  0.0454  0.0478  0.0385  0.03
Hatto 1997   65  0.3559  0.0070  0.0373  0.0382  0.0381  0.03
Horowitz 1949   83  0.2571  0.0084  0.0383  0.0375  0.0379  0.03
Indjic 1988   66  0.3479  0.0071  0.0461  0.0473  0.0468  0.04
Kapell 1951   6  0.581  0.291  0.282  0.729  0.653  0.68
Kissin 1993   1  0.6014  0.016  0.133  0.706  0.721  0.71
Kushner 1989   9  0.5612  0.027  0.118  0.6731  0.3511  0.48
Luisada 1991   49  0.4072  0.0064  0.0457  0.0461  0.0461  0.04
Lushtak 2004   33  0.4613  0.0133  0.0929  0.3343  0.1330  0.21
Malcuzynski 1961   17  0.5219  0.0113  0.1515  0.5929  0.3912  0.48
Magaloff 1978   25  0.4769  0.0027  0.0925  0.4140  0.1827  0.27
Magin 1975   23  0.504  0.089  0.1223  0.4229  0.3421  0.38
Michalowski 1933   80  0.2655  0.0077  0.0451  0.047  0.5338  0.15
Milkina 1970   22  0.5049  0.0020  0.1319  0.5252  0.0632  0.18
Mohovich 1999   38  0.4575  0.0039  0.0739  0.2073  0.0450  0.09
Moravec 1969   34  0.4660  0.0030  0.0830  0.3151  0.0833  0.16
Morozova 2008   15  0.538  0.0315  0.155  0.695  0.614  0.65
Neighaus 1950   46  0.4222  0.0051  0.0456  0.0424  0.3643  0.12
Niedzielski 1931   69  0.3346  0.0073  0.0379  0.0342  0.1057  0.05
Ohlsson 1999   37  0.4536  0.0045  0.0745  0.0745  0.0853  0.07
Osinska 1989   26  0.4756  0.0032  0.1031  0.3055  0.0641  0.13
Pachmann 1927   50  0.4054  0.0049  0.0549  0.0513  0.5134  0.16
Paderewski 1930   75  0.3051  0.0075  0.0374  0.0326  0.2748  0.09
Perlemuter 1992   82  0.2587  0.0087  0.0382  0.0381  0.0289  0.02
Pierdomenico 2008   62  0.3673  0.0076  0.0458  0.0463  0.0465  0.04
Poblocka 1999   14  0.5410  0.028  0.1111  0.6224  0.4510  0.53
Rabcewiczowa 1932   59  0.3866  0.0048  0.0647  0.0653  0.0558  0.05
Rachmaninoff 1923   55  0.3967  0.0054  0.0460  0.0451  0.0564  0.04
Rangell 2001   30  0.4630  0.0029  0.1135  0.2631  0.3226  0.29
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   39  0.4434  0.0050  0.0550  0.0576  0.0374  0.04
Rosenthal 1930   57  0.3957  0.0063  0.0371  0.0332  0.3145  0.10
Rosenthal 1931   76  0.2974  0.0078  0.0376  0.0350  0.0569  0.04
Rosenthal 1931b   86  0.2488  0.0085  0.0288  0.0275  0.0486  0.03
Rosenthal 1931c   78  0.2889  0.0083  0.0381  0.0371  0.0487  0.03
Rosenthal 1931d   87  0.2280  0.0086  0.0285  0.0279  0.0390  0.02
Rossi 2007   63  0.3584  0.0074  0.0378  0.0346  0.0663  0.04
Rubinstein 1939   35  0.4568  0.0041  0.0541  0.1744  0.0942  0.12
Rubinstein 1952   13  0.5423  0.0019  0.2017  0.5831  0.3219  0.43
Rubinstein 1966   12  0.5437  0.0018  0.1514  0.5937  0.2820  0.41
Schilhawsky 1960   40  0.447  0.0321  0.1327  0.3832  0.3123  0.34
Shebanova 2002   52  0.3981  0.0067  0.0459  0.0464  0.0470  0.04
Smith 1975   31  0.4635  0.0037  0.0633  0.2930  0.3225  0.30
Sokolov 2002   54  0.3950  0.0060  0.0367  0.0353  0.0662  0.04
Sztompka 1959   2  0.602  0.174  0.2410  0.637  0.666  0.64
Tomsic 1995   29  0.469  0.0235  0.0834  0.2833  0.2528  0.26
Uninsky 1932   28  0.4617  0.0126  0.0924  0.4220  0.5315  0.47
Uninsky 1971   10  0.5515  0.0116  0.1313  0.6022  0.489  0.54
Wasowski 1980   41  0.4442  0.0028  0.0928  0.3744  0.1031  0.19
Zak 1937   43  0.4338  0.0061  0.0455  0.0471  0.0466  0.04
Zak 1951   45  0.4231  0.0057  0.0365  0.0370  0.0478  0.03
Random 1   89  0.0040  0.0089  0.0289  0.0210  0.4549  0.09
Random 2   88  0.0090  0.0090  0.0190  0.0138  0.1471  0.04
Random 3   90  -0.0227  0.0088  0.0287  0.025  0.5146  0.10

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).