Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6656  0.0012  0.1213  0.587  0.5513  0.56
Anderszewski 2003   33  0.587  0.0124  0.0826  0.3013  0.5027  0.39
Ashkenazy 1981   30  0.5828  0.0026  0.0728  0.2929  0.3733  0.33
Bacha 2000   78  0.4372  0.0078  0.0385  0.0346  0.0778  0.05
Badura 1965   61  0.5247  0.0064  0.0461  0.0431  0.3365  0.11
Barbosa 1983   54  0.5314  0.0049  0.0748  0.0713  0.4745  0.18
Biret 1990   41  0.5741  0.0051  0.0750  0.0729  0.2756  0.14
Blet 2003   44  0.5638  0.0053  0.0651  0.0612  0.4448  0.16
Block 1995   65  0.4988  0.0060  0.0377  0.0344  0.0982  0.05
Blumental 1952   39  0.5823  0.0015  0.1316  0.462  0.7112  0.57
Boshniakovich 1969   46  0.5689  0.0067  0.0557  0.0560  0.0583  0.05
Brailowsky 1960   69  0.4971  0.0080  0.0379  0.0357  0.0584  0.04
Bunin 1987   71  0.4868  0.0071  0.0375  0.0346  0.0688  0.04
Bunin 1987b   73  0.4857  0.0073  0.0381  0.0352  0.0585  0.04
Chiu 1999   51  0.5424  0.0041  0.0642  0.1214  0.5138  0.25
Cohen 1997   88  0.2963  0.0088  0.0462  0.0469  0.0487  0.04
Cortot 1951   74  0.4754  0.0076  0.0386  0.0326  0.3369  0.10
Csalog 1996   77  0.4358  0.0082  0.0559  0.0534  0.2564  0.11
Czerny 1949   2  0.744  0.023  0.462  0.812  0.841  0.82
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   67  0.4965  0.0059  0.0474  0.0443  0.1476  0.07
Ezaki 2006   8  0.6711  0.0110  0.1311  0.618  0.5911  0.60
Falvay 1989   16  0.628  0.0129  0.0730  0.2813  0.5526  0.39
Farrell 1958   52  0.5434  0.0057  0.0558  0.0519  0.3955  0.14
Ferenczy 1958   70  0.4860  0.0074  0.0382  0.0332  0.2472  0.08
Fliere 1977   5  0.6932  0.008  0.176  0.6810  0.599  0.63
Fou 1978   43  0.5626  0.0032  0.0834  0.2330  0.3436  0.28
Francois 1956   24  0.6142  0.0022  0.0723  0.376  0.6317  0.48
Friedman 1923   80  0.4290  0.0062  0.0473  0.0410  0.5157  0.14
Friedman 1923b   79  0.4285  0.0058  0.0560  0.0511  0.4949  0.16
Friedman 1930   59  0.5250  0.0047  0.0653  0.065  0.6044  0.19
Garcia 2007   83  0.3973  0.0081  0.0471  0.0450  0.0680  0.05
Garcia 2007b   84  0.3881  0.0077  0.0384  0.0341  0.1177  0.06
Gierzod 1998   21  0.6175  0.0017  0.1315  0.4723  0.4420  0.45
Gornostaeva 1994   23  0.6137  0.0035  0.0835  0.2124  0.4534  0.31
Groot 1988   29  0.5933  0.0028  0.0724  0.365  0.5421  0.44
Harasiewicz 1955   17  0.6218  0.009  0.1412  0.6111  0.5014  0.55
Hatto 1993   63  0.5127  0.0043  0.0641  0.1416  0.3839  0.23
Hatto 1997   60  0.5259  0.0050  0.0747  0.0732  0.2162  0.12
Horowitz 1949   64  0.5053  0.0075  0.0378  0.0346  0.0879  0.05
Indjic 1988   57  0.5236  0.0044  0.0543  0.1118  0.3543  0.20
Kapell 1951   6  0.683  0.034  0.143  0.752  0.615  0.68
Kissin 1993   7  0.6815  0.0011  0.149  0.6514  0.5810  0.61
Kushner 1989   4  0.7012  0.015  0.155  0.714  0.637  0.67
Luisada 1991   34  0.5866  0.0046  0.0654  0.0628  0.3750  0.15
Lushtak 2004   53  0.5467  0.0054  0.0655  0.0668  0.0481  0.05
Malcuzynski 1961   11  0.6522  0.0014  0.1410  0.645  0.678  0.65
Magaloff 1978   31  0.5819  0.0036  0.0936  0.1919  0.4035  0.28
Magin 1975   35  0.5844  0.0023  0.0721  0.3814  0.4823  0.43
Michalowski 1933   75  0.4569  0.0065  0.0463  0.0427  0.3560  0.12
Milkina 1970   25  0.6177  0.0030  0.0822  0.3820  0.4325  0.40
Mohovich 1999   42  0.5774  0.0037  0.0539  0.1633  0.3041  0.22
Moravec 1969   9  0.665  0.027  0.197  0.671  0.784  0.72
Morozova 2008   15  0.6220  0.0013  0.1514  0.518  0.5016  0.50
Neighaus 1950   37  0.5855  0.0040  0.0540  0.1637  0.2046  0.18
Niedzielski 1931   49  0.5630  0.0045  0.0644  0.114  0.6137  0.26
Ohlsson 1999   28  0.5916  0.0042  0.0545  0.1140  0.1658  0.13
Osinska 1989   12  0.6531  0.0020  0.0819  0.4121  0.4622  0.43
Pachmann 1927   82  0.4078  0.0087  0.0469  0.0464  0.0586  0.04
Paderewski 1930   62  0.5240  0.0069  0.0470  0.0418  0.3263  0.11
Perlemuter 1992   48  0.5682  0.0055  0.0846  0.0826  0.3547  0.17
Pierdomenico 2008   72  0.4876  0.0072  0.0380  0.0335  0.2171  0.08
Poblocka 1999   14  0.6429  0.0016  0.1217  0.4515  0.4519  0.45
Rabcewiczowa 1932   32  0.5825  0.0034  0.0729  0.2912  0.4530  0.36
Rachmaninoff 1923   22  0.616  0.016  0.188  0.662  0.696  0.67
Rangell 2001   66  0.4935  0.0070  0.0468  0.0437  0.1970  0.09
Richter 1976   55  0.5345  0.0068  0.0466  0.0438  0.2368  0.10
Rosen 1989   36  0.5880  0.0033  0.0732  0.2616  0.4332  0.33
Rosenthal 1930   58  0.5243  0.0061  0.0464  0.0415  0.5852  0.15
Rosenthal 1931   86  0.3884  0.0084  0.0467  0.0428  0.3961  0.12
Rosenthal 1931b   87  0.3586  0.0086  0.0387  0.0336  0.2374  0.08
Rosenthal 1931c   68  0.4979  0.0063  0.0472  0.0416  0.5553  0.15
Rosenthal 1931d   85  0.3861  0.0085  0.0388  0.0334  0.2373  0.08
Rossi 2007   76  0.4417  0.0079  0.0383  0.0310  0.4859  0.12
Rubinstein 1939   81  0.4264  0.0083  0.0376  0.0337  0.1775  0.07
Rubinstein 1952   56  0.5346  0.0056  0.0656  0.0635  0.2266  0.11
Rubinstein 1966   27  0.6013  0.0031  0.0833  0.2516  0.5529  0.37
Schilhawsky 1960   47  0.5662  0.0052  0.0749  0.0732  0.3351  0.15
Shebanova 2002   13  0.6410  0.0119  0.1220  0.4013  0.5318  0.46
Smith 1975   19  0.6148  0.0025  0.0725  0.3312  0.4824  0.40
Sokolov 2002   38  0.5870  0.0048  0.0652  0.0626  0.3354  0.14
Sztompka 1959   3  0.722  0.092  0.314  0.742  0.742  0.74
Tomsic 1995   50  0.5539  0.0066  0.0465  0.0435  0.2367  0.10
Uninsky 1932   20  0.6121  0.0018  0.1218  0.445  0.6715  0.54
Uninsky 1971   26  0.6049  0.0027  0.0727  0.3019  0.4231  0.35
Wasowski 1980   18  0.619  0.0121  0.0731  0.2710  0.5128  0.37
Zak 1937   40  0.5751  0.0039  0.0638  0.1734  0.2840  0.22
Zak 1951   45  0.5652  0.0038  0.0637  0.1939  0.2242  0.20
Average   1  0.801  0.711  0.701  0.903  0.613  0.74
Random 1   91  -0.1091  0.0091  0.0191  0.0172  0.0291  0.01
Random 2   89  -0.0183  0.0089  0.0289  0.0256  0.0589  0.03
Random 3   90  -0.0487  0.0090  0.0290  0.0269  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).