Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   70  0.4680  0.0068  0.0380  0.0376  0.0388  0.03
Ashkenazy 1981   44  0.5551  0.0034  0.0938  0.2834  0.2839  0.28
Bacha 2000   63  0.4841  0.0067  0.0374  0.0332  0.3361  0.10
Badura 1965   25  0.6049  0.0021  0.0624  0.413  0.6315  0.51
Barbosa 1983   53  0.5255  0.0052  0.0647  0.0629  0.3249  0.14
Biret 1990   27  0.602  0.0420  0.0728  0.3621  0.3632  0.36
Blet 2003   21  0.6135  0.0035  0.0633  0.325  0.5626  0.42
Block 1995   73  0.4591  0.0069  0.0370  0.0360  0.0489  0.03
Blumental 1952   60  0.4958  0.0028  0.0644  0.1916  0.3341  0.25
Boshniakovich 1969   40  0.5636  0.0049  0.0552  0.0543  0.1569  0.09
Brailowsky 1960   59  0.4973  0.0081  0.0379  0.0346  0.0981  0.05
Bunin 1987   64  0.4881  0.0070  0.0384  0.0338  0.1877  0.07
Bunin 1987b   66  0.4770  0.0071  0.0469  0.0436  0.1966  0.09
Chiu 1999   50  0.5333  0.0050  0.0650  0.0625  0.3946  0.15
Cohen 1997   88  0.3152  0.0088  0.0460  0.0454  0.0587  0.04
Cortot 1951   67  0.4748  0.0073  0.0386  0.0330  0.2770  0.09
Csalog 1996   68  0.4738  0.0074  0.0383  0.0331  0.2967  0.09
Czerny 1949   8  0.6625  0.005  0.175  0.599  0.623  0.60
Czerny 1990   7  0.6663  0.009  0.147  0.5513  0.588  0.56
Duchoud 2007   48  0.5329  0.0046  0.0648  0.0610  0.4845  0.17
Ezaki 2006   2  0.706  0.012  0.212  0.704  0.662  0.68
Falvay 1989   37  0.5728  0.0053  0.0746  0.0733  0.2948  0.14
Farrell 1958   54  0.5232  0.0060  0.0462  0.0438  0.1674  0.08
Ferenczy 1958   45  0.5460  0.0048  0.0555  0.0517  0.4250  0.14
Fliere 1977   3  0.6619  0.0014  0.139  0.5428  0.4417  0.49
Fou 1978   20  0.619  0.0126  0.0820  0.4825  0.3824  0.43
Francois 1956   19  0.6161  0.0029  0.0725  0.394  0.6516  0.50
Friedman 1923   80  0.4223  0.0066  0.0468  0.0413  0.4751  0.14
Friedman 1923b   77  0.4271  0.0064  0.0371  0.0314  0.4654  0.12
Friedman 1930   78  0.4283  0.0065  0.0465  0.0428  0.3159  0.11
Garcia 2007   86  0.3754  0.0078  0.0376  0.0358  0.0585  0.04
Garcia 2007b   87  0.3557  0.0077  0.0387  0.0333  0.1578  0.07
Gierzod 1998   9  0.644  0.013  0.214  0.594  0.584  0.58
Gornostaeva 1994   30  0.5921  0.0032  0.0626  0.3823  0.4527  0.41
Groot 1988   15  0.6217  0.0025  0.0918  0.5012  0.4819  0.49
Harasiewicz 1955   38  0.5785  0.0023  0.0822  0.4628  0.3328  0.39
Hatto 1993   71  0.4642  0.0044  0.0741  0.2328  0.2043  0.21
Hatto 1997   51  0.5216  0.0019  0.0830  0.3618  0.3434  0.35
Horowitz 1949   61  0.4962  0.0063  0.0459  0.0429  0.4152  0.13
Indjic 1988   65  0.4868  0.0045  0.1143  0.2131  0.2044  0.20
Kapell 1951   42  0.5575  0.0047  0.0551  0.0541  0.1765  0.09
Kissin 1993   5  0.6622  0.0010  0.1413  0.5216  0.5312  0.52
Kushner 1989   23  0.6077  0.0039  0.0739  0.2637  0.1942  0.22
Luisada 1991   29  0.5910  0.0115  0.1021  0.4718  0.4920  0.48
Lushtak 2004   55  0.5288  0.0058  0.0554  0.0567  0.0486  0.04
Malcuzynski 1961   22  0.6145  0.0037  0.0636  0.2822  0.3238  0.30
Magaloff 1978   46  0.5311  0.0143  0.0645  0.1455  0.0572  0.08
Magin 1975   49  0.5372  0.0033  0.0640  0.2528  0.2940  0.27
Michalowski 1933   79  0.4269  0.0059  0.0458  0.0420  0.3853  0.12
Milkina 1970   12  0.6320  0.0018  0.088  0.5414  0.4813  0.51
Mohovich 1999   14  0.6214  0.0017  0.0914  0.5213  0.5810  0.55
Moravec 1969   47  0.5343  0.0054  0.0463  0.0425  0.3055  0.11
Morozova 2008   17  0.6218  0.0012  0.1117  0.505  0.5314  0.51
Neighaus 1950   11  0.6315  0.008  0.1212  0.539  0.5311  0.53
Niedzielski 1931   62  0.4964  0.0072  0.0467  0.0430  0.3156  0.11
Ohlsson 1999   18  0.6131  0.0016  0.0919  0.4915  0.4423  0.46
Osinska 1989   31  0.5979  0.0038  0.0634  0.3234  0.3035  0.31
Pachmann 1927   72  0.4553  0.0082  0.0373  0.0330  0.3164  0.10
Paderewski 1930   69  0.4759  0.0075  0.0375  0.0344  0.0982  0.05
Perlemuter 1992   36  0.5784  0.0042  0.0942  0.2220  0.4037  0.30
Pierdomenico 2008   76  0.4450  0.0079  0.0381  0.0337  0.1973  0.08
Poblocka 1999   10  0.6444  0.0011  0.1115  0.5013  0.4721  0.48
Rabcewiczowa 1932   39  0.5756  0.0030  0.0723  0.4410  0.4822  0.46
Rachmaninoff 1923   24  0.608  0.0113  0.1011  0.535  0.589  0.55
Rangell 2001   74  0.4546  0.0080  0.0461  0.0449  0.0683  0.05
Richter 1976   52  0.5239  0.0061  0.0464  0.0439  0.2363  0.10
Rosen 1989   13  0.6326  0.006  0.1510  0.548  0.587  0.56
Rosenthal 1930   58  0.5027  0.0056  0.0456  0.0414  0.5847  0.15
Rosenthal 1931   82  0.3986  0.0083  0.0377  0.0326  0.4157  0.11
Rosenthal 1931b   85  0.3776  0.0084  0.0385  0.0333  0.2871  0.09
Rosenthal 1931c   75  0.4474  0.0076  0.0372  0.0322  0.4160  0.11
Rosenthal 1931d   83  0.3937  0.0085  0.0382  0.0335  0.2075  0.08
Rossi 2007   84  0.3867  0.0086  0.0288  0.0239  0.1679  0.06
Rubinstein 1939   81  0.3934  0.0087  0.0378  0.0346  0.0684  0.04
Rubinstein 1952   57  0.505  0.0155  0.0553  0.0544  0.1476  0.08
Rubinstein 1966   41  0.5624  0.0051  0.0649  0.0639  0.2258  0.11
Schilhawsky 1960   35  0.5865  0.0041  0.0937  0.2826  0.4433  0.35
Shebanova 2002   16  0.6247  0.0024  0.0816  0.5019  0.4818  0.49
Smith 1975   33  0.5930  0.0040  0.0631  0.3325  0.2936  0.31
Sokolov 2002   26  0.6013  0.0036  0.0735  0.3214  0.4429  0.38
Sztompka 1959   4  0.6612  0.007  0.146  0.584  0.565  0.57
Tomsic 1995   43  0.5582  0.0057  0.0457  0.0431  0.2662  0.10
Uninsky 1932   34  0.5940  0.0031  0.0629  0.368  0.5225  0.43
Uninsky 1971   6  0.663  0.034  0.173  0.606  0.556  0.57
Wasowski 1980   56  0.5189  0.0062  0.0466  0.0451  0.0680  0.05
Zak 1937   32  0.5966  0.0027  0.0732  0.3222  0.4031  0.36
Zak 1951   28  0.597  0.0122  0.0727  0.3825  0.3930  0.38
Average   1  0.781  0.751  0.751  0.878  0.541  0.69
Random 1   91  -0.1090  0.0091  0.0191  0.0184  0.0291  0.01
Random 2   89  -0.0287  0.0089  0.0289  0.0213  0.4068  0.09
Random 3   90  -0.0678  0.0090  0.0290  0.0267  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).