Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.5625  0.0176  0.0382  0.0378  0.0380  0.03
Anderszewski 2003   52  0.5480  0.0051  0.0645  0.0662  0.0361  0.04
Ashkenazy 1981   39  0.5866  0.0058  0.0373  0.0381  0.0381  0.03
Bacha 2000   8  0.6879  0.0054  0.0466  0.0429  0.2233  0.09
Badura 1965   84  0.2875  0.0085  0.0384  0.0380  0.0287  0.02
Barbosa 1983   72  0.4530  0.0053  0.0464  0.0471  0.0377  0.03
Biret 1990   1  0.776  0.033  0.233  0.5020  0.284  0.37
Blet 2003   38  0.5876  0.0062  0.0454  0.0463  0.0462  0.04
Block 1995   50  0.554  0.046  0.138  0.3123  0.287  0.29
Blumental 1952   74  0.4317  0.0137  0.0542  0.1126  0.1817  0.14
Boshniakovich 1969   14  0.6536  0.007  0.154  0.448  0.433  0.43
Brailowsky 1960   17  0.647  0.0332  0.0627  0.2045  0.0720  0.12
Bunin 1987   25  0.6147  0.0034  0.0530  0.1846  0.0536  0.09
Bunin 1987b   23  0.6238  0.0035  0.0629  0.1848  0.0534  0.09
Chiu 1999   71  0.4762  0.0025  0.0525  0.2147  0.0624  0.11
Cohen 1997   79  0.3977  0.0055  0.0468  0.0430  0.2431  0.10
Cortot 1951   19  0.6348  0.0030  0.0619  0.2332  0.2310  0.23
Csalog 1996   68  0.4834  0.0087  0.0372  0.0371  0.0378  0.03
Czerny 1949   57  0.5359  0.0059  0.0455  0.0445  0.0756  0.05
Czerny 1990   44  0.5781  0.0070  0.0374  0.0372  0.0382  0.03
Duchoud 2007   22  0.6249  0.0066  0.0450  0.0456  0.0467  0.04
Ezaki 2006   47  0.5629  0.0167  0.0371  0.0382  0.0285  0.02
Falvay 1989   29  0.6115  0.0113  0.0615  0.2745  0.0618  0.13
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   36  0.5946  0.0065  0.0453  0.0439  0.1642  0.08
Fliere 1977   3  0.6971  0.0015  0.0514  0.2855  0.0519  0.12
Fou 1978   56  0.5327  0.0144  0.0544  0.0966  0.0547  0.07
Francois 1956   45  0.5721  0.0139  0.0534  0.1368  0.0451  0.07
Friedman 1923   86  0.2273  0.0074  0.0370  0.0342  0.1354  0.06
Friedman 1923b   85  0.2487  0.0073  0.0369  0.0341  0.1649  0.07
Friedman 1930   83  0.2882  0.0060  0.0460  0.0449  0.0564  0.04
Garcia 2007   66  0.4974  0.0047  0.0646  0.068  0.4615  0.17
Garcia 2007b   80  0.382  0.094  0.107  0.332  0.602  0.44
Gierzod 1998   5  0.6914  0.0120  0.0528  0.1854  0.0443  0.08
Gornostaeva 1994   11  0.6610  0.0212  0.0720  0.2332  0.1911  0.21
Groot 1988   6  0.6872  0.0024  0.0517  0.2666  0.0337  0.09
Harasiewicz 1955   81  0.3688  0.0027  0.0523  0.2367  0.0344  0.08
Hatto 1993   78  0.4190  0.0083  0.0383  0.0357  0.0383  0.03
Hatto 1997   62  0.5056  0.0072  0.0459  0.0473  0.0379  0.03
Horowitz 1949   28  0.6120  0.0126  0.0511  0.2935  0.1412  0.20
Indjic 1988   73  0.4389  0.0084  0.0456  0.0461  0.0376  0.03
Kapell 1951   10  0.6743  0.0036  0.0526  0.2142  0.1414  0.17
Kissin 1993   70  0.4733  0.0078  0.0287  0.0276  0.0386  0.02
Kushner 1989   24  0.6169  0.0068  0.0461  0.0472  0.0373  0.03
Luisada 1991   27  0.6122  0.0138  0.0533  0.1351  0.0538  0.08
Lushtak 2004   43  0.5728  0.0110  0.0716  0.2770  0.0335  0.09
Malcuzynski 1961   4  0.6964  0.0042  0.0639  0.1152  0.0448  0.07
Magaloff 1978   9  0.6783  0.0019  0.0613  0.2955  0.0425  0.11
Magin 1975   76  0.4267  0.0086  0.0379  0.0370  0.0372  0.03
Michalowski 1933   82  0.3250  0.0050  0.0549  0.0546  0.0753  0.06
Milkina 1970   7  0.6865  0.0043  0.0541  0.1148  0.0640  0.08
Mohovich 1999   16  0.6419  0.0148  0.0547  0.0549  0.0469  0.04
Moravec 1969   42  0.5837  0.0064  0.0462  0.0454  0.0457  0.04
Morozova 2008   59  0.5358  0.0011  0.0810  0.2964  0.0429  0.11
Neighaus 1950   2  0.751  0.351  0.341  0.6317  0.431  0.52
Niedzielski 1931   33  0.6053  0.0045  0.0457  0.0412  0.3621  0.12
Ohlsson 1999   15  0.658  0.0314  0.0536  0.1356  0.0541  0.08
Osinska 1989   18  0.639  0.038  0.126  0.3727  0.246  0.30
Pachmann 1927   64  0.4918  0.0140  0.0537  0.1243  0.1028  0.11
Paderewski 1930   26  0.6126  0.019  0.099  0.3015  0.345  0.32
Perlemuter 1992   63  0.503  0.075  0.125  0.4338  0.128  0.23
Pierdomenico 2008   53  0.5431  0.0049  0.0548  0.0545  0.0555  0.05
Poblocka 1999   12  0.6635  0.0041  0.0538  0.1149  0.0445  0.07
Rabcewiczowa 1932   41  0.5842  0.0018  0.0621  0.2327  0.239  0.23
Rachmaninoff 1923   65  0.4924  0.0131  0.0624  0.2375  0.0339  0.08
Rangell 2001   31  0.6151  0.0017  0.0543  0.1052  0.0550  0.07
Richter 1976   77  0.4284  0.0082  0.0381  0.0362  0.0475  0.03
Rosen 1989   20  0.6316  0.0116  0.0535  0.1337  0.2016  0.16
Rosenthal 1930   51  0.5555  0.0063  0.0465  0.0447  0.0568  0.04
Rosenthal 1931   69  0.4868  0.0052  0.0452  0.0451  0.0560  0.04
Rosenthal 1931b   61  0.5123  0.0123  0.0532  0.1444  0.0830  0.11
Rosenthal 1931c   46  0.5745  0.0056  0.0376  0.0359  0.0484  0.03
Rosenthal 1931d   49  0.5554  0.0033  0.0540  0.1142  0.1032  0.10
Rossi 2007   87  0.1070  0.0079  0.0385  0.0357  0.0371  0.03
Rubinstein 1939   67  0.4960  0.0081  0.0375  0.0321  0.3726  0.11
Rubinstein 1952   58  0.5361  0.0080  0.0286  0.0248  0.0770  0.04
Rubinstein 1966   21  0.6239  0.0071  0.0458  0.0463  0.0463  0.04
Schilhawsky 1960   34  0.5913  0.0221  0.0412  0.2959  0.0523  0.12
Shebanova 2002   54  0.5444  0.0077  0.0380  0.0359  0.0566  0.04
Smith 1975   13  0.665  0.042  0.202  0.5852  0.0513  0.17
Sokolov 2002   35  0.5912  0.0222  0.0631  0.1575  0.0346  0.07
Sztompka 1959   37  0.5878  0.0057  0.0377  0.0349  0.0658  0.04
Tomsic 1995   30  0.6157  0.0061  0.0463  0.0479  0.0374  0.03
Uninsky 1932   75  0.4241  0.0075  0.0378  0.0348  0.0565  0.04
Uninsky 1971   60  0.5252  0.0069  0.0467  0.0466  0.0459  0.04
Wasowski 1980   40  0.5840  0.0046  0.0451  0.0440  0.1052  0.06
Zak 1937   32  0.6132  0.0028  0.0518  0.2450  0.0622  0.12
Zak 1951   55  0.5411  0.0229  0.0722  0.2358  0.0527  0.11
Random 1   89  -0.0263  0.0090  0.0190  0.0168  0.0388  0.02
Random 2   90  -0.1385  0.0089  0.0189  0.0170  0.0289  0.01
Random 3   88  0.0986  0.0088  0.0188  0.0175  0.0290  0.01

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).