Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.368  0.0322  0.0919  0.4836  0.2820  0.37
Anderszewski 2003   68  0.1364  0.0080  0.0382  0.0381  0.0376  0.03
Ashkenazy 1981   57  0.2036  0.0066  0.0469  0.0481  0.0465  0.04
Bacha 2000   84  0.0425  0.0086  0.0288  0.0277  0.0381  0.02
Badura 1965   52  0.2265  0.0038  0.0938  0.2448  0.0546  0.11
Barbosa 1983   46  0.2577  0.0047  0.0748  0.0740  0.1348  0.10
Biret 1990   6  0.435  0.063  0.194  0.674  0.771  0.72
Blet 2003   25  0.3226  0.0036  0.1032  0.3249  0.0834  0.16
Block 1995   80  0.0855  0.0075  0.0376  0.0386  0.0288  0.02
Blumental 1952   78  0.0983  0.0082  0.0381  0.0383  0.0378  0.03
Boshniakovich 1969   86  0.0378  0.0071  0.0378  0.0374  0.0379  0.03
Brailowsky 1960   27  0.3140  0.0028  0.0823  0.4133  0.3617  0.38
Bunin 1987   17  0.3519  0.0120  0.1214  0.5130  0.4110  0.46
Bunin 1987b   16  0.3515  0.0119  0.0911  0.5226  0.419  0.46
Chiu 1999   5  0.4412  0.0110  0.135  0.6442  0.2118  0.37
Cohen 1997   29  0.3067  0.0044  0.0543  0.1143  0.1644  0.13
Cortot 1951   24  0.3323  0.0032  0.0927  0.3728  0.4316  0.40
Csalog 1996   7  0.4110  0.016  0.187  0.5810  0.596  0.58
Czerny 1949   9  0.3832  0.0015  0.0917  0.5014  0.734  0.60
Czerny 1990   44  0.2679  0.0053  0.0749  0.0751  0.0853  0.07
Duchoud 2007   1  0.484  0.104  0.202  0.7412  0.563  0.64
Ezaki 2006   34  0.2924  0.0048  0.0655  0.0652  0.0754  0.06
Falvay 1989   10  0.3727  0.0017  0.0916  0.5114  0.438  0.47
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   49  0.2433  0.0054  0.0654  0.0630  0.5929  0.19
Fliere 1977   51  0.2384  0.0055  0.0560  0.0558  0.0559  0.05
Fou 1978   11  0.3728  0.009  0.229  0.5333  0.3214  0.41
Francois 1956   39  0.2714  0.0131  0.0734  0.3028  0.4621  0.37
Friedman 1923   22  0.3439  0.008  0.1513  0.5240  0.3511  0.43
Friedman 1923b   23  0.339  0.027  0.1315  0.5140  0.3512  0.42
Friedman 1930   56  0.2068  0.0043  0.0544  0.1066  0.0552  0.07
Garcia 2007   75  0.1143  0.0076  0.0371  0.0379  0.0377  0.03
Garcia 2007b   71  0.1260  0.0077  0.0383  0.0362  0.0572  0.04
Gierzod 1998   89  0.0229  0.0087  0.0189  0.0176  0.0387  0.02
Gornostaeva 1994   30  0.3044  0.0041  0.0740  0.1737  0.2928  0.22
Groot 1988   58  0.2069  0.0063  0.0563  0.0574  0.0466  0.04
Harasiewicz 1955   54  0.2273  0.0064  0.0561  0.0572  0.0468  0.04
Hatto 1993   69  0.1285  0.0068  0.0468  0.0478  0.0467  0.04
Hatto 1997   47  0.2556  0.0046  0.0656  0.0647  0.0758  0.06
Horowitz 1949   33  0.2918  0.0127  0.0726  0.3845  0.1626  0.25
Indjic 1988   79  0.0880  0.0084  0.0284  0.0278  0.0475  0.03
Kapell 1951   35  0.2838  0.0034  0.0937  0.2543  0.1231  0.17
Kissin 1993   66  0.1462  0.0060  0.0650  0.0653  0.0757  0.06
Kushner 1989   64  0.1647  0.0073  0.0467  0.0463  0.0563  0.04
Luisada 1991   38  0.2886  0.0052  0.0657  0.0655  0.0655  0.06
Lushtak 2004   15  0.356  0.0613  0.1110  0.5216  0.447  0.48
Malcuzynski 1961   73  0.1248  0.0081  0.0375  0.0384  0.0285  0.02
Magaloff 1978   63  0.1653  0.0040  0.0741  0.1669  0.0449  0.08
Magin 1975   87  0.0287  0.0088  0.0287  0.0280  0.0384  0.02
Michalowski 1933   70  0.1274  0.0078  0.0380  0.0373  0.0474  0.03
Milkina 1970   43  0.2621  0.0045  0.0545  0.1041  0.2236  0.15
Mohovich 1999   82  0.0551  0.0085  0.0285  0.0286  0.0290  0.02
Moravec 1969   19  0.3450  0.0021  0.1020  0.4639  0.1724  0.28
Morozova 2008   12  0.3637  0.0029  0.1025  0.3957  0.0539  0.14
Neighaus 1950   14  0.3535  0.0011  0.148  0.5655  0.0630  0.18
Niedzielski 1931   45  0.2675  0.0051  0.0653  0.0662  0.0561  0.05
Ohlsson 1999   31  0.3088  0.0039  0.1230  0.3353  0.0542  0.13
Osinska 1989   41  0.2730  0.0025  0.0828  0.3638  0.2025  0.27
Pachmann 1927   60  0.1870  0.0059  0.0747  0.0747  0.0851  0.07
Paderewski 1930   88  0.0289  0.0072  0.0372  0.0381  0.0373  0.03
Perlemuter 1992   85  0.0471  0.0070  0.0373  0.0385  0.0282  0.02
Pierdomenico 2008   53  0.2272  0.0057  0.0651  0.0663  0.0460  0.05
Poblocka 1999   32  0.2922  0.0035  0.0831  0.3256  0.0540  0.13
Rabcewiczowa 1932   40  0.2758  0.0042  0.0542  0.1330  0.3827  0.22
Rachmaninoff 1923   2  0.472  0.142  0.181  0.7514  0.682  0.71
Rangell 2001   20  0.3431  0.0018  0.1112  0.5225  0.3413  0.42
Richter 1976   55  0.2249  0.0058  0.0746  0.0765  0.0556  0.06
Rosen 1989   18  0.3446  0.0026  0.0822  0.4346  0.0537  0.15
Rosenthal 1930   21  0.3413  0.0123  0.0833  0.3238  0.2923  0.30
Rosenthal 1931   61  0.1876  0.0067  0.0465  0.0443  0.1650  0.08
Rosenthal 1931b   65  0.1542  0.0074  0.0374  0.0351  0.0669  0.04
Rosenthal 1931c   59  0.2045  0.0065  0.0466  0.0461  0.0470  0.04
Rosenthal 1931d   76  0.1052  0.0079  0.0377  0.0363  0.0380  0.03
Rossi 2007   81  0.0659  0.0061  0.0559  0.0534  0.1947  0.10
Rubinstein 1939   8  0.4016  0.0112  0.1218  0.4823  0.2919  0.37
Rubinstein 1952   74  0.1163  0.0062  0.0562  0.0576  0.0471  0.04
Rubinstein 1966   28  0.3011  0.0133  0.0836  0.2744  0.0935  0.16
Schilhawsky 1960   83  0.0561  0.0089  0.0286  0.0281  0.0386  0.02
Shebanova 2002   62  0.1890  0.0069  0.0470  0.0471  0.0564  0.04
Smith 1975   37  0.2834  0.0050  0.0652  0.0638  0.2345  0.12
Sokolov 2002   77  0.0981  0.0083  0.0379  0.0385  0.0283  0.02
Sztompka 1959   42  0.2757  0.0037  0.0935  0.2761  0.0641  0.13
Tomsic 1995   67  0.137  0.0330  0.0739  0.1944  0.1038  0.14
Uninsky 1932   26  0.3166  0.0024  0.0824  0.4172  0.0443  0.13
Uninsky 1971   50  0.2454  0.0049  0.0564  0.0565  0.0562  0.05
Wasowski 1980   4  0.441  0.301  0.296  0.6320  0.565  0.59
Zak 1937   36  0.2817  0.0114  0.1121  0.4628  0.3715  0.41
Zak 1951   48  0.2420  0.0116  0.0929  0.3329  0.3422  0.33
Average   3  0.463  0.125  0.273  0.7166  0.0432  0.17
Random 1   90  -0.0791  0.0090  0.0190  0.0178  0.0389  0.02
Random 2   72  0.1241  0.0056  0.0558  0.051  0.6133  0.17
Random 3   91  -0.0782  0.0091  0.0191  0.0160  0.0391  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).