Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.5841  0.0038  0.0734  0.2361  0.0550  0.11
Anderszewski 2003   12  0.6218  0.0115  0.0924  0.3240  0.2221  0.27
Ashkenazy 1981   25  0.5825  0.0025  0.0722  0.3327  0.3019  0.31
Bacha 2000   59  0.5079  0.0049  0.0649  0.0620  0.3631  0.15
Badura 1965   74  0.4527  0.0082  0.0381  0.0361  0.0580  0.04
Barbosa 1983   42  0.5438  0.0018  0.0823  0.3225  0.4410  0.38
Biret 1990   28  0.5726  0.0014  0.0912  0.4330  0.2515  0.33
Blet 2003   50  0.5246  0.0068  0.0473  0.0442  0.1160  0.07
Block 1995   68  0.4861  0.0056  0.0466  0.0439  0.1658  0.08
Blumental 1952   24  0.5814  0.019  0.159  0.5316  0.377  0.44
Boshniakovich 1969   16  0.6112  0.0116  0.0919  0.3540  0.1923  0.26
Brailowsky 1960   8  0.644  0.0210  0.188  0.543  0.771  0.64
Bunin 1987   87  0.3088  0.0087  0.0461  0.0472  0.0482  0.04
Bunin 1987b   88  0.2982  0.0088  0.0468  0.0479  0.0387  0.03
Chiu 1999   63  0.4989  0.0062  0.0472  0.0456  0.0570  0.04
Cohen 1997   85  0.3784  0.0083  0.0387  0.0336  0.1562  0.07
Cortot 1951   79  0.4362  0.0080  0.0383  0.0364  0.0584  0.04
Csalog 1996   75  0.4334  0.0060  0.0475  0.0445  0.1159  0.07
Czerny 1949   37  0.556  0.0228  0.0635  0.2357  0.0549  0.11
Czerny 1990   7  0.6513  0.016  0.145  0.5626  0.416  0.48
Duchoud 2007   82  0.4266  0.0077  0.0385  0.0351  0.0679  0.04
Ezaki 2006   11  0.637  0.0119  0.0725  0.3138  0.2024  0.25
Falvay 1989   17  0.6019  0.0029  0.0632  0.2523  0.4614  0.34
Farrell 1958   52  0.5190  0.0033  0.0531  0.2544  0.1725  0.21
Ferenczy 1958   40  0.5448  0.0054  0.0555  0.0519  0.4237  0.14
Fliere 1977   2  0.702  0.063  0.362  0.7324  0.355  0.51
Fou 1978   26  0.5830  0.0031  0.0527  0.2964  0.0544  0.12
Francois 1956   70  0.4791  0.0074  0.0554  0.0554  0.0568  0.05
Friedman 1923   46  0.5340  0.0055  0.0650  0.0636  0.3042  0.13
Friedman 1923b   45  0.5416  0.0151  0.0467  0.0434  0.3547  0.12
Friedman 1930   36  0.5528  0.0052  0.0558  0.0531  0.3836  0.14
Garcia 2007   80  0.4242  0.0084  0.0377  0.0384  0.0390  0.03
Garcia 2007b   54  0.5145  0.0050  0.0465  0.0451  0.0585  0.04
Gierzod 1998   4  0.678  0.017  0.124  0.6139  0.2212  0.37
Gornostaeva 1994   6  0.6655  0.008  0.157  0.556  0.612  0.58
Groot 1988   48  0.5343  0.0022  0.0720  0.3425  0.3018  0.32
Harasiewicz 1955   14  0.6132  0.0017  0.1014  0.4256  0.0539  0.14
Hatto 1993   38  0.5583  0.0043  0.0741  0.1746  0.0751  0.11
Hatto 1997   35  0.5574  0.0047  0.0846  0.0855  0.0661  0.07
Horowitz 1949   76  0.4372  0.0081  0.0386  0.0359  0.0672  0.04
Indjic 1988   34  0.5668  0.0042  0.0638  0.2046  0.0746  0.12
Kapell 1951   39  0.5464  0.0044  0.0742  0.1660  0.0457  0.08
Kissin 1993   20  0.5920  0.0039  0.0639  0.1952  0.0648  0.11
Kushner 1989   15  0.619  0.0120  0.0815  0.4051  0.0632  0.15
Luisada 1991   10  0.645  0.025  0.146  0.568  0.543  0.55
Lushtak 2004   44  0.5449  0.0032  0.0537  0.2156  0.0555  0.10
Malcuzynski 1961   72  0.4685  0.0078  0.0379  0.0364  0.0488  0.03
Magaloff 1978   29  0.5776  0.0011  0.1018  0.3612  0.439  0.39
Magin 1975   3  0.693  0.062  0.283  0.6523  0.434  0.53
Michalowski 1933   64  0.4867  0.0076  0.0388  0.0349  0.0866  0.05
Milkina 1970   13  0.6135  0.0013  0.1011  0.4441  0.2317  0.32
Mohovich 1999   30  0.5753  0.0045  0.0744  0.1441  0.1634  0.15
Moravec 1969   53  0.5133  0.0061  0.0460  0.0421  0.4340  0.13
Morozova 2008   60  0.4980  0.0067  0.0378  0.0361  0.0577  0.04
Neighaus 1950   43  0.5429  0.0037  0.0540  0.1734  0.2326  0.20
Niedzielski 1931   67  0.4869  0.0059  0.0380  0.0364  0.0486  0.03
Ohlsson 1999   47  0.5331  0.0048  0.0748  0.0761  0.0564  0.06
Osinska 1989   9  0.6447  0.0012  0.1010  0.4738  0.2216  0.32
Pachmann 1927   84  0.3986  0.0086  0.0384  0.0367  0.0389  0.03
Paderewski 1930   86  0.3752  0.0085  0.0553  0.0551  0.0474  0.04
Perlemuter 1992   69  0.4887  0.0070  0.0464  0.0451  0.0569  0.04
Pierdomenico 2008   77  0.4370  0.0075  0.0382  0.0357  0.0571  0.04
Poblocka 1999   33  0.5621  0.0046  0.0847  0.0865  0.0463  0.06
Rabcewiczowa 1932   71  0.4736  0.0036  0.0643  0.1648  0.0653  0.10
Rachmaninoff 1923   32  0.5650  0.0035  0.0530  0.2644  0.1227  0.18
Rangell 2001   83  0.4177  0.0079  0.0471  0.0456  0.0583  0.04
Richter 1976   78  0.4315  0.0157  0.0376  0.0355  0.0573  0.04
Rosen 1989   5  0.6624  0.004  0.1113  0.4218  0.408  0.41
Rosenthal 1930   56  0.5037  0.0064  0.0474  0.0420  0.4938  0.14
Rosenthal 1931   62  0.4954  0.0069  0.0462  0.0417  0.5035  0.14
Rosenthal 1931b   61  0.4978  0.0066  0.0557  0.0515  0.5330  0.16
Rosenthal 1931c   51  0.5256  0.0053  0.0556  0.0514  0.5728  0.17
Rosenthal 1931d   58  0.5057  0.0065  0.0469  0.0410  0.6129  0.16
Rossi 2007   73  0.4558  0.0063  0.0470  0.0438  0.2452  0.10
Rubinstein 1939   41  0.5422  0.0030  0.0533  0.2428  0.3420  0.29
Rubinstein 1952   49  0.5323  0.0024  0.0921  0.3327  0.3713  0.35
Rubinstein 1966   18  0.6010  0.0123  0.0816  0.3930  0.3611  0.37
Schilhawsky 1960   55  0.5011  0.0171  0.0551  0.0572  0.0476  0.04
Shebanova 2002   27  0.5765  0.0034  0.0628  0.2774  0.0454  0.10
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   65  0.4851  0.0041  0.0645  0.1351  0.0556  0.08
Sztompka 1959   19  0.5981  0.0021  0.1017  0.3753  0.0633  0.15
Tomsic 1995   81  0.4259  0.0058  0.0459  0.0458  0.0665  0.05
Uninsky 1932   66  0.4873  0.0073  0.0463  0.0457  0.0578  0.04
Uninsky 1971   57  0.5039  0.0072  0.0552  0.0574  0.0475  0.04
Wasowski 1980   31  0.5760  0.0040  0.0736  0.2150  0.0743  0.12
Zak 1937   22  0.5917  0.0127  0.0629  0.2762  0.0545  0.12
Zak 1951   21  0.5944  0.0026  0.0726  0.3055  0.0641  0.13
Average   1  0.751  0.641  0.631  0.8448  0.0922  0.27
Random 1   90  -0.0975  0.0090  0.0290  0.0240  0.1267  0.05
Random 2   91  -0.1571  0.0091  0.0191  0.0190  0.0191  0.01
Random 3   89  -0.0463  0.0089  0.0289  0.0245  0.1081  0.04

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).