Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.3753  0.0052  0.0850  0.0834  0.2353  0.14
Anderszewski 2003   11  0.4814  0.017  0.2111  0.615  0.724  0.66
Ashkenazy 1981   50  0.3859  0.0065  0.0661  0.0660  0.0665  0.06
Bacha 2000   65  0.3487  0.0067  0.0751  0.0727  0.2851  0.14
Badura 1965   76  0.2885  0.0075  0.0474  0.0485  0.0287  0.03
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   43  0.4041  0.0043  0.0644  0.1619  0.5739  0.30
Blet 2003   41  0.4063  0.0051  0.0665  0.0628  0.3950  0.15
Block 1995   35  0.414  0.0216  0.1122  0.4119  0.5022  0.45
Blumental 1952   16  0.479  0.0121  0.0818  0.4812  0.6116  0.54
Boshniakovich 1969   17  0.478  0.014  0.174  0.7010  0.682  0.69
Brailowsky 1960   52  0.3831  0.0058  0.0664  0.0631  0.3352  0.14
Bunin 1987   36  0.4121  0.0035  0.0832  0.2913  0.5328  0.39
Bunin 1987b   40  0.4039  0.0039  0.0739  0.2113  0.5133  0.33
Chiu 1999   20  0.4657  0.0023  0.0826  0.3717  0.4824  0.42
Cohen 1997   75  0.2970  0.0076  0.0568  0.0549  0.0766  0.06
Cortot 1951   77  0.2782  0.0079  0.0477  0.0449  0.0775  0.05
Csalog 1996   74  0.2975  0.0073  0.0471  0.0468  0.0479  0.04
Czerny 1949   68  0.3183  0.0068  0.0662  0.0640  0.2355  0.12
Czerny 1990   14  0.4713  0.0112  0.108  0.6417  0.685  0.66
Duchoud 2007   82  0.2491  0.0084  0.0288  0.0249  0.0686  0.03
Ezaki 2006   19  0.4766  0.0030  0.1029  0.3417  0.5623  0.44
Falvay 1989   33  0.4110  0.0118  0.1031  0.3233  0.2936  0.30
Farrell 1958   49  0.3930  0.0031  0.0935  0.2423  0.3737  0.30
Ferenczy 1958   72  0.3067  0.0070  0.0380  0.0334  0.4060  0.11
Fliere 1977   24  0.4522  0.0020  0.0819  0.4542  0.2035  0.30
Fou 1978   31  0.4327  0.0036  0.0733  0.2632  0.3240  0.29
Francois 1956   78  0.2676  0.0077  0.0475  0.0456  0.0482  0.04
Friedman 1923   69  0.3068  0.0069  0.0379  0.0363  0.0583  0.04
Friedman 1923b   73  0.2988  0.0071  0.0570  0.0560  0.0573  0.05
Friedman 1930   67  0.3247  0.0061  0.0658  0.0658  0.0571  0.05
Garcia 2007   63  0.3424  0.0047  0.0947  0.0914  0.5345  0.22
Garcia 2007b   60  0.3571  0.0032  0.0737  0.2318  0.5430  0.35
Gierzod 1998   38  0.4140  0.0041  0.0641  0.2031  0.2943  0.24
Gornostaeva 1994   56  0.3677  0.0060  0.0666  0.0648  0.0863  0.07
Groot 1988   37  0.4151  0.0022  0.0720  0.4222  0.3927  0.40
Harasiewicz 1955   3  0.5418  0.018  0.173  0.7412  0.559  0.64
Hatto 1993   8  0.4949  0.0011  0.127  0.6712  0.618  0.64
Hatto 1997   18  0.4752  0.0015  0.1112  0.5811  0.5712  0.57
Horowitz 1949   57  0.3526  0.0062  0.0754  0.0723  0.5048  0.19
Indjic 1988   6  0.5080  0.0010  0.116  0.6810  0.663  0.67
Kapell 1951   4  0.512  0.033  0.245  0.696  0.5811  0.63
Kissin 1993   30  0.4428  0.0044  0.0743  0.1726  0.5238  0.30
Kushner 1989   28  0.4446  0.0045  0.0845  0.1651  0.0759  0.11
Luisada 1991   5  0.5112  0.0113  0.119  0.648  0.666  0.65
Lushtak 2004   7  0.495  0.029  0.1323  0.4017  0.5321  0.46
Malcuzynski 1961   22  0.467  0.0217  0.1030  0.3333  0.3334  0.33
Magaloff 1978   48  0.3925  0.0054  0.0659  0.0653  0.0569  0.05
Magin 1975   42  0.4078  0.0046  0.0848  0.0822  0.4547  0.19
Michalowski 1933   86  0.1955  0.0085  0.0284  0.0249  0.0778  0.04
Milkina 1970   26  0.4433  0.0019  0.0914  0.5218  0.5814  0.55
Mohovich 1999   10  0.4816  0.016  0.1416  0.4920  0.5219  0.50
Moravec 1969   39  0.4158  0.0049  0.0657  0.0637  0.2256  0.11
Morozova 2008   15  0.4750  0.0028  0.0721  0.4218  0.5020  0.46
Neighaus 1950   64  0.3444  0.0063  0.0753  0.0766  0.0474  0.05
Niedzielski 1931   58  0.3573  0.0066  0.0660  0.0646  0.0764  0.06
Ohlsson 1999   47  0.3956  0.0037  0.0738  0.2139  0.2046  0.20
Osinska 1989   54  0.3762  0.0053  0.0755  0.0770  0.0467  0.05
Pachmann 1927   80  0.2569  0.0078  0.0478  0.0468  0.0477  0.04
Paderewski 1930   83  0.2279  0.0074  0.0473  0.0452  0.0670  0.05
Perlemuter 1992   70  0.3032  0.0072  0.0476  0.0457  0.0576  0.04
Pierdomenico 2008   87  0.1761  0.0087  0.0382  0.0374  0.0484  0.03
Poblocka 1999   9  0.4954  0.0014  0.1110  0.648  0.6210  0.63
Rabcewiczowa 1932   62  0.3437  0.0042  0.0742  0.1725  0.4541  0.28
Rachmaninoff 1923   45  0.4019  0.0050  0.0752  0.0730  0.3449  0.15
Rangell 2001   32  0.4248  0.0048  0.1046  0.108  0.5944  0.24
Richter 1976   23  0.4560  0.0034  0.0734  0.2626  0.4829  0.35
Rosen 1989   59  0.3572  0.0055  0.0567  0.0568  0.0480  0.04
Rosenthal 1930   71  0.3043  0.0080  0.0472  0.0450  0.0672  0.05
Rosenthal 1931   81  0.2564  0.0083  0.0285  0.0268  0.0485  0.03
Rosenthal 1931b   84  0.2289  0.0086  0.0381  0.0371  0.0389  0.03
Rosenthal 1931c   79  0.2584  0.0081  0.0287  0.0280  0.0391  0.02
Rosenthal 1931d   85  0.2086  0.0082  0.0286  0.0266  0.0488  0.03
Rossi 2007   89  0.0974  0.0088  0.0283  0.0274  0.0390  0.02
Rubinstein 1939   46  0.4042  0.0056  0.0656  0.0631  0.2258  0.11
Rubinstein 1952   34  0.4115  0.0127  0.0827  0.3628  0.4725  0.41
Rubinstein 1966   2  0.563  0.032  0.352  0.815  0.721  0.76
Schilhawsky 1960   21  0.4635  0.0029  0.0824  0.403  0.6818  0.52
Shebanova 2002   29  0.4429  0.0033  0.0728  0.3534  0.3332  0.34
Smith 1975   55  0.3665  0.0059  0.0569  0.0534  0.2557  0.11
Sokolov 2002   61  0.3538  0.0064  0.0663  0.0665  0.0468  0.05
Sztompka 1959   51  0.3823  0.0038  0.0740  0.2038  0.2842  0.24
Tomsic 1995   66  0.3334  0.0057  0.0849  0.0837  0.1954  0.12
Uninsky 1932   44  0.4011  0.0140  0.0736  0.2318  0.5131  0.34
Uninsky 1971   27  0.4417  0.0126  0.1025  0.3824  0.4226  0.40
Wasowski 1980   25  0.456  0.025  0.1413  0.5317  0.5317  0.53
Zak 1937   12  0.4736  0.0025  0.1015  0.508  0.6313  0.56
Zak 1951   13  0.4745  0.0024  0.0817  0.488  0.6215  0.55
Average   1  0.641  0.721  0.721  0.9019  0.467  0.64
Random 1   90  0.0281  0.0090  0.0290  0.0213  0.4361  0.09
Random 2   88  0.0920  0.0089  0.0289  0.0220  0.3562  0.08
Random 3   91  -0.0690  0.0091  0.0191  0.0133  0.2081  0.04

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).