Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.3858  0.0024  0.0817  0.5042  0.1726  0.29
Anderszewski 2003   48  0.2441  0.0039  0.0839  0.2035  0.2129  0.20
Ashkenazy 1981   74  0.1482  0.0078  0.0375  0.0383  0.0377  0.03
Bacha 2000   59  0.2113  0.0040  0.0840  0.1557  0.0545  0.09
Badura 1965   68  0.1759  0.0068  0.0468  0.0476  0.0376  0.03
Barbosa 1983   58  0.2155  0.0060  0.0565  0.0575  0.0465  0.04
Biret 1990   13  0.4110  0.0113  0.1619  0.4920  0.5612  0.52
Blet 2003   36  0.2868  0.0046  0.0649  0.0663  0.0559  0.05
Block 1995   31  0.2957  0.0035  0.0833  0.3452  0.0639  0.14
Blumental 1952   66  0.1823  0.0049  0.0562  0.0564  0.0560  0.05
Boshniakovich 1969   61  0.2036  0.0054  0.0652  0.0680  0.0367  0.04
Brailowsky 1960   43  0.2560  0.0052  0.0845  0.0848  0.0847  0.08
Bunin 1987   87  0.0671  0.0084  0.0285  0.0286  0.0286  0.02
Bunin 1987b   86  0.0663  0.0085  0.0284  0.0286  0.0282  0.02
Chiu 1999   44  0.2583  0.0079  0.0372  0.0385  0.0279  0.02
Cohen 1997   1  0.581  0.231  0.231  0.871  0.831  0.85
Cortot 1951   9  0.465  0.104  0.266  0.772  0.786  0.77
Csalog 1996   64  0.1978  0.0081  0.0380  0.0370  0.0472  0.03
Czerny 1949   4  0.562  0.203  0.314  0.811  0.872  0.84
Czerny 1990   78  0.1179  0.0076  0.0374  0.0379  0.0378  0.03
Duchoud 2007   39  0.2628  0.0041  0.0642  0.1474  0.0449  0.07
Ezaki 2006   3  0.563  0.162  0.262  0.821  0.813  0.81
Falvay 1989   23  0.3264  0.0021  0.1223  0.4423  0.3523  0.39
Farrell 1958   34  0.2825  0.0036  0.0637  0.2351  0.0640  0.12
Ferenczy 1958   25  0.3131  0.0011  0.1611  0.6112  0.788  0.69
Fliere 1977   35  0.2814  0.0059  0.0467  0.0455  0.0652  0.05
Fou 1978   63  0.2053  0.0057  0.0655  0.0652  0.0556  0.05
Francois 1956   6  0.509  0.017  0.275  0.802  0.814  0.80
Friedman 1923   76  0.1238  0.0086  0.0287  0.0285  0.0388  0.02
Friedman 1923b   77  0.1169  0.0087  0.0286  0.0286  0.0387  0.02
Friedman 1930   50  0.2354  0.0071  0.0470  0.0481  0.0375  0.03
Garcia 2007   89  0.0365  0.0080  0.0377  0.0386  0.0285  0.02
Garcia 2007b   81  0.0780  0.0090  0.0190  0.0185  0.0290  0.01
Gierzod 1998   55  0.2248  0.0025  0.0728  0.4029  0.4022  0.40
Gornostaeva 1994   2  0.576  0.035  0.343  0.826  0.775  0.79
Groot 1988   18  0.3843  0.0023  0.0821  0.4652  0.0731  0.18
Harasiewicz 1955   11  0.438  0.0212  0.2012  0.6127  0.3216  0.44
Hatto 1993   46  0.2472  0.0056  0.0648  0.0672  0.0461  0.05
Hatto 1997   15  0.4033  0.0015  0.1218  0.5026  0.2925  0.38
Horowitz 1949   84  0.0642  0.0088  0.0288  0.0285  0.0283  0.02
Indjic 1988   62  0.2061  0.0061  0.0560  0.0574  0.0464  0.04
Kapell 1951   82  0.0784  0.0082  0.0381  0.0384  0.0280  0.02
Kissin 1993   73  0.1534  0.0047  0.0654  0.0661  0.0650  0.06
Kushner 1989   56  0.2166  0.0069  0.0469  0.0481  0.0368  0.03
Luisada 1991   45  0.2511  0.0163  0.0653  0.0674  0.0451  0.05
Lushtak 2004   33  0.2830  0.0038  0.0836  0.2342  0.1035  0.15
Malcuzynski 1961   52  0.2232  0.0048  0.0466  0.0468  0.0463  0.04
Magaloff 1978   20  0.3467  0.0030  0.1230  0.3748  0.0633  0.15
Magin 1975   32  0.2837  0.0042  0.0643  0.1355  0.0743  0.10
Michalowski 1933   71  0.1570  0.0074  0.0379  0.0383  0.0371  0.03
Milkina 1970   27  0.3035  0.0018  0.1226  0.4328  0.3919  0.41
Mohovich 1999   38  0.2762  0.0034  0.0834  0.3351  0.0737  0.15
Moravec 1969   40  0.2646  0.0026  0.0724  0.4442  0.1228  0.23
Morozova 2008   51  0.2250  0.0066  0.0559  0.0587  0.0274  0.03
Neighaus 1950   8  0.484  0.116  0.279  0.696  0.5411  0.61
Niedzielski 1931   88  0.0549  0.0089  0.0189  0.0187  0.0289  0.01
Ohlsson 1999   14  0.4045  0.0020  0.1320  0.4868  0.0438  0.14
Osinska 1989   10  0.4415  0.0010  0.2610  0.6214  0.6110  0.61
Pachmann 1927   49  0.2373  0.0058  0.0557  0.0560  0.0657  0.05
Paderewski 1930   53  0.2239  0.0045  0.0746  0.0746  0.0748  0.07
Perlemuter 1992   28  0.2940  0.0051  0.0647  0.0657  0.0553  0.05
Pierdomenico 2008   41  0.2674  0.0055  0.0651  0.0659  0.0555  0.05
Poblocka 1999   47  0.2451  0.0062  0.0650  0.0680  0.0454  0.05
Rabcewiczowa 1932   5  0.5116  0.008  0.198  0.706  0.777  0.73
Rachmaninoff 1923   72  0.1585  0.0067  0.0563  0.0583  0.0362  0.04
Rangell 2001   67  0.1786  0.0033  0.0735  0.2453  0.0542  0.11
Richter 1976   60  0.2075  0.0073  0.0376  0.0376  0.0470  0.03
Rosen 1989   21  0.3381  0.0031  0.0825  0.4448  0.0536  0.15
Rosenthal 1930   24  0.3276  0.0032  0.1027  0.4133  0.3824  0.39
Rosenthal 1931   54  0.2227  0.0027  0.0931  0.3628  0.5117  0.43
Rosenthal 1931b   65  0.1818  0.0029  0.1232  0.3527  0.4921  0.41
Rosenthal 1931c   29  0.2919  0.0022  0.1216  0.5019  0.5014  0.50
Rosenthal 1931d   70  0.1724  0.0028  0.1029  0.3818  0.4918  0.43
Rossi 2007   30  0.2947  0.0044  0.0544  0.107  0.5827  0.24
Rubinstein 1939   26  0.3056  0.0037  0.0838  0.2257  0.0641  0.11
Rubinstein 1952   16  0.3912  0.0117  0.1014  0.5626  0.4015  0.47
Rubinstein 1966   22  0.3322  0.0019  0.1022  0.4659  0.0534  0.15
Schilhawsky 1960   69  0.1720  0.0077  0.0378  0.0375  0.0473  0.03
Shebanova 2002   75  0.1487  0.0075  0.0283  0.0284  0.0384  0.02
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   12  0.4226  0.0014  0.2415  0.5314  0.5013  0.51
Sztompka 1959   42  0.2629  0.0050  0.0561  0.0569  0.0558  0.05
Tomsic 1995   19  0.3521  0.0016  0.1213  0.5925  0.2920  0.41
Uninsky 1932   57  0.2177  0.0064  0.0558  0.0580  0.0366  0.04
Uninsky 1971   7  0.487  0.039  0.237  0.755  0.589  0.66
Wasowski 1980   37  0.2788  0.0043  0.0741  0.1475  0.0546  0.08
Zak 1937   83  0.0789  0.0083  0.0282  0.0285  0.0281  0.02
Zak 1951   80  0.0890  0.0072  0.0373  0.0383  0.0369  0.03
Random 1   90  -0.0144  0.0070  0.0471  0.0430  0.2444  0.10
Random 2   85  0.0652  0.0053  0.0556  0.058  0.4932  0.16
Random 3   79  0.0917  0.0065  0.0564  0.052  0.6530  0.18

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).