Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.367  0.0321  0.0918  0.4835  0.2820  0.37
Anderszewski 2003   67  0.1363  0.0079  0.0381  0.0380  0.0375  0.03
Ashkenazy 1981   56  0.2035  0.0065  0.0468  0.0480  0.0464  0.04
Bacha 2000   83  0.0425  0.0085  0.0287  0.0276  0.0380  0.02
Badura 1965   51  0.2264  0.0037  0.0937  0.2447  0.0645  0.12
Barbosa 1983   45  0.2576  0.0046  0.0747  0.0739  0.1347  0.10
Biret 1990   5  0.434  0.084  0.323  0.674  0.771  0.72
Blet 2003   24  0.3226  0.0035  0.1031  0.3248  0.0833  0.16
Block 1995   79  0.0855  0.0074  0.0375  0.0385  0.0287  0.02
Blumental 1952   77  0.0982  0.0081  0.0380  0.0382  0.0377  0.03
Boshniakovich 1969   85  0.0377  0.0070  0.0377  0.0373  0.0378  0.03
Brailowsky 1960   26  0.3139  0.0027  0.0822  0.4132  0.3617  0.38
Bunin 1987   16  0.3520  0.0119  0.1213  0.5129  0.4110  0.46
Bunin 1987b   15  0.3516  0.0118  0.0910  0.5225  0.419  0.46
Chiu 1999   4  0.4413  0.019  0.134  0.6441  0.2118  0.37
Cohen 1997   28  0.3067  0.0043  0.0542  0.1142  0.1643  0.13
Cortot 1951   23  0.3323  0.0031  0.0926  0.3727  0.4316  0.40
Csalog 1996   6  0.419  0.015  0.186  0.589  0.596  0.58
Czerny 1949   8  0.3832  0.0014  0.0916  0.5014  0.734  0.60
Czerny 1990   43  0.2678  0.0052  0.0748  0.0750  0.0852  0.07
Duchoud 2007   1  0.482  0.173  0.252  0.7411  0.563  0.64
Ezaki 2006   33  0.2924  0.0047  0.0654  0.0651  0.0753  0.06
Falvay 1989   9  0.3727  0.0016  0.0915  0.5113  0.438  0.47
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   48  0.2433  0.0053  0.0653  0.0629  0.5929  0.19
Fliere 1977   50  0.2383  0.0054  0.0559  0.0557  0.0558  0.05
Fou 1978   10  0.3728  0.008  0.238  0.5332  0.3214  0.41
Francois 1956   38  0.2714  0.0130  0.0733  0.3027  0.4621  0.37
Friedman 1923   21  0.3438  0.007  0.1512  0.5239  0.3511  0.43
Friedman 1923b   22  0.338  0.026  0.1314  0.5139  0.3512  0.42
Friedman 1930   55  0.2068  0.0042  0.0543  0.1065  0.0551  0.07
Garcia 2007   74  0.1142  0.0075  0.0370  0.0378  0.0376  0.03
Garcia 2007b   70  0.1259  0.0076  0.0382  0.0361  0.0571  0.04
Gierzod 1998   88  0.0229  0.0086  0.0188  0.0175  0.0386  0.02
Gornostaeva 1994   29  0.3044  0.0040  0.0739  0.1736  0.2928  0.22
Groot 1988   57  0.2069  0.0062  0.0562  0.0573  0.0465  0.04
Harasiewicz 1955   53  0.2272  0.0063  0.0560  0.0571  0.0467  0.04
Hatto 1993   68  0.1284  0.0067  0.0467  0.0477  0.0466  0.04
Hatto 1997   46  0.2551  0.0045  0.0655  0.0646  0.0757  0.06
Horowitz 1949   32  0.2918  0.0126  0.0825  0.3844  0.1626  0.25
Indjic 1988   78  0.0879  0.0083  0.0283  0.0277  0.0474  0.03
Kapell 1951   34  0.2837  0.0033  0.1036  0.2542  0.1231  0.17
Kissin 1993   65  0.1461  0.0059  0.0649  0.0652  0.0756  0.06
Kushner 1989   63  0.1646  0.0072  0.0466  0.0462  0.0562  0.04
Luisada 1991   37  0.2885  0.0051  0.0656  0.0654  0.0654  0.06
Lushtak 2004   14  0.355  0.0612  0.119  0.5215  0.447  0.48
Malcuzynski 1961   72  0.1247  0.0080  0.0374  0.0383  0.0284  0.02
Magaloff 1978   62  0.1653  0.0039  0.0740  0.1668  0.0448  0.08
Magin 1975   86  0.0286  0.0087  0.0286  0.0279  0.0383  0.02
Michalowski 1933   69  0.1273  0.0077  0.0379  0.0372  0.0473  0.03
Milkina 1970   42  0.2621  0.0044  0.0544  0.1040  0.2235  0.15
Mohovich 1999   81  0.0549  0.0084  0.0284  0.0285  0.0289  0.02
Moravec 1969   18  0.3450  0.0020  0.1019  0.4638  0.1724  0.28
Morozova 2008   11  0.3636  0.0028  0.1024  0.3956  0.0538  0.14
Neighaus 1950   13  0.3511  0.0110  0.157  0.5654  0.0630  0.18
Niedzielski 1931   44  0.2674  0.0050  0.0652  0.0661  0.0560  0.05
Ohlsson 1999   30  0.3087  0.0038  0.1329  0.3352  0.0541  0.13
Osinska 1989   40  0.2730  0.0024  0.0827  0.3637  0.2025  0.27
Pachmann 1927   59  0.1870  0.0058  0.0746  0.0746  0.0850  0.07
Paderewski 1930   87  0.0288  0.0071  0.0371  0.0380  0.0372  0.03
Perlemuter 1992   84  0.0465  0.0069  0.0372  0.0384  0.0281  0.02
Pierdomenico 2008   52  0.2271  0.0056  0.0650  0.0662  0.0459  0.05
Poblocka 1999   31  0.2922  0.0034  0.0830  0.3255  0.0539  0.13
Rabcewiczowa 1932   39  0.2757  0.0041  0.0541  0.1329  0.3827  0.22
Rachmaninoff 1923   2  0.473  0.152  0.201  0.7513  0.682  0.71
Rangell 2001   19  0.3431  0.0017  0.1111  0.5224  0.3413  0.42
Richter 1976   54  0.2248  0.0057  0.0845  0.0864  0.0555  0.06
Rosen 1989   17  0.3445  0.0025  0.0821  0.4345  0.0536  0.15
Rosenthal 1930   20  0.3412  0.0122  0.0832  0.3237  0.2923  0.30
Rosenthal 1931   60  0.1875  0.0066  0.0464  0.0442  0.1649  0.08
Rosenthal 1931b   64  0.1541  0.0073  0.0373  0.0350  0.0668  0.04
Rosenthal 1931c   58  0.2043  0.0064  0.0465  0.0460  0.0469  0.04
Rosenthal 1931d   75  0.1052  0.0078  0.0376  0.0362  0.0479  0.03
Rossi 2007   80  0.0658  0.0060  0.0558  0.0533  0.1946  0.10
Rubinstein 1939   7  0.4017  0.0111  0.1217  0.4822  0.2919  0.37
Rubinstein 1952   73  0.1162  0.0061  0.0561  0.0575  0.0470  0.04
Rubinstein 1966   27  0.3010  0.0132  0.0835  0.2743  0.0934  0.16
Schilhawsky 1960   82  0.0560  0.0088  0.0285  0.0280  0.0385  0.02
Shebanova 2002   61  0.1889  0.0068  0.0469  0.0470  0.0563  0.04
Smith 1975   36  0.2834  0.0049  0.0651  0.0637  0.2344  0.12
Sokolov 2002   76  0.0980  0.0082  0.0378  0.0384  0.0282  0.02
Sztompka 1959   41  0.2756  0.0036  0.0934  0.2760  0.0640  0.13
Tomsic 1995   66  0.136  0.0329  0.0738  0.1943  0.1037  0.14
Uninsky 1932   25  0.3166  0.0023  0.0823  0.4171  0.0442  0.13
Uninsky 1971   49  0.2454  0.0048  0.0563  0.0564  0.0561  0.05
Wasowski 1980   3  0.441  0.301  0.305  0.6319  0.565  0.59
Zak 1937   35  0.2815  0.0113  0.1120  0.4627  0.3715  0.41
Zak 1951   47  0.2419  0.0115  0.0928  0.3328  0.3422  0.33
Random 1   89  -0.0790  0.0089  0.0189  0.0177  0.0388  0.02
Random 2   71  0.1240  0.0055  0.0557  0.051  0.6132  0.17
Random 3   90  -0.0781  0.0090  0.0190  0.0161  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).