Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   67  0.5561  0.0057  0.0467  0.0468  0.0389  0.03
Ashkenazy 1981   54  0.6050  0.0041  0.0941  0.1736  0.1942  0.18
Bacha 2000   64  0.5637  0.0054  0.0457  0.0438  0.1767  0.08
Badura 1965   27  0.7181  0.0025  0.0727  0.321  0.6421  0.45
Barbosa 1983   55  0.6044  0.0053  0.0455  0.0412  0.4244  0.13
Biret 1990   29  0.708  0.0334  0.0736  0.2414  0.3736  0.30
Blet 2003   6  0.7843  0.0015  0.0821  0.402  0.5715  0.48
Block 1995   65  0.5678  0.0052  0.0452  0.0448  0.0580  0.04
Blumental 1952   73  0.5152  0.0044  0.0544  0.0926  0.1945  0.13
Boshniakovich 1969   38  0.6755  0.0046  0.0549  0.0522  0.3546  0.13
Brailowsky 1960   62  0.5783  0.0082  0.0450  0.0474  0.0479  0.04
Bunin 1987   57  0.5987  0.0065  0.0465  0.0425  0.3552  0.12
Bunin 1987b   61  0.5979  0.0064  0.0466  0.0424  0.3750  0.12
Chiu 1999   59  0.5951  0.0060  0.0385  0.0325  0.2962  0.09
Cohen 1997   87  0.2845  0.0087  0.0459  0.0465  0.0482  0.04
Cortot 1951   39  0.6686  0.0047  0.0545  0.0519  0.3547  0.13
Csalog 1996   71  0.5332  0.0073  0.0370  0.0328  0.2565  0.09
Czerny 1949   3  0.811  0.301  0.301  0.642  0.671  0.65
Czerny 1990   1  0.832  0.152  0.322  0.622  0.652  0.63
Duchoud 2007   40  0.6618  0.0140  0.0940  0.194  0.4538  0.29
Ezaki 2006   2  0.8115  0.013  0.133  0.622  0.613  0.61
Falvay 1989   51  0.6216  0.0176  0.0372  0.0341  0.1574  0.07
Farrell 1958   46  0.6326  0.0169  0.0380  0.0372  0.0487  0.03
Ferenczy 1958   43  0.6520  0.0143  0.0543  0.1015  0.3241  0.18
Fliere 1977   4  0.8128  0.014  0.134  0.576  0.535  0.55
Fou 1978   35  0.6810  0.0237  0.0730  0.3020  0.3830  0.34
Francois 1956   10  0.7623  0.0117  0.099  0.472  0.656  0.55
Friedman 1923   80  0.4946  0.0062  0.0376  0.0310  0.5348  0.13
Friedman 1923b   79  0.4954  0.0061  0.0381  0.0310  0.5153  0.12
Friedman 1930   74  0.5162  0.0059  0.0384  0.0323  0.3857  0.11
Garcia 2007   69  0.5459  0.0072  0.0371  0.0333  0.2071  0.08
Garcia 2007b   85  0.4084  0.0066  0.0375  0.0323  0.2173  0.08
Gierzod 1998   15  0.749  0.036  0.135  0.547  0.538  0.53
Gornostaeva 1994   33  0.6938  0.0023  0.0633  0.2615  0.4432  0.34
Groot 1988   24  0.716  0.0435  0.0735  0.2621  0.4334  0.33
Harasiewicz 1955   44  0.6413  0.0231  0.1229  0.3020  0.3735  0.33
Hatto 1993   78  0.4960  0.0055  0.0547  0.0529  0.1961  0.10
Hatto 1997   63  0.5633  0.0042  0.0542  0.1123  0.2643  0.17
Horowitz 1949   56  0.6075  0.0071  0.0453  0.0432  0.3255  0.11
Indjic 1988   72  0.5258  0.0050  0.0463  0.0426  0.2164  0.09
Kapell 1951   30  0.7064  0.0029  0.0726  0.3318  0.3729  0.35
Kissin 1993   7  0.7719  0.0110  0.126  0.527  0.624  0.57
Kushner 1989   12  0.7574  0.0018  0.0620  0.4118  0.4522  0.43
Luisada 1991   37  0.6729  0.0119  0.0831  0.2927  0.3733  0.33
Lushtak 2004   34  0.6888  0.0036  0.0834  0.2628  0.2340  0.24
Malcuzynski 1961   31  0.6924  0.0138  0.0637  0.235  0.5131  0.34
Magaloff 1978   53  0.6140  0.0049  0.0460  0.0445  0.0878  0.06
Magin 1975   58  0.5917  0.0122  0.0638  0.2217  0.3139  0.26
Michalowski 1933   75  0.5066  0.0051  0.0464  0.0423  0.3751  0.12
Milkina 1970   23  0.7114  0.0133  0.0724  0.3617  0.3827  0.37
Mohovich 1999   13  0.7431  0.0027  0.0815  0.439  0.5316  0.48
Moravec 1969   52  0.6168  0.0075  0.0458  0.0425  0.3449  0.12
Morozova 2008   21  0.7111  0.027  0.1117  0.433  0.5018  0.46
Neighaus 1950   11  0.7541  0.008  0.097  0.526  0.539  0.52
Niedzielski 1931   47  0.6347  0.0063  0.0383  0.0314  0.4154  0.11
Ohlsson 1999   25  0.7134  0.0021  0.0716  0.4314  0.4323  0.43
Osinska 1989   8  0.7656  0.0016  0.0612  0.467  0.5511  0.50
Pachmann 1927   60  0.5971  0.0077  0.0451  0.0419  0.3356  0.11
Paderewski 1930   50  0.6253  0.0070  0.0368  0.0328  0.2070  0.08
Perlemuter 1992   19  0.7373  0.0030  0.0832  0.2710  0.4528  0.35
Pierdomenico 2008   68  0.5477  0.0078  0.0456  0.0441  0.1376  0.07
Poblocka 1999   9  0.767  0.0311  0.1213  0.467  0.5013  0.48
Rabcewiczowa 1932   32  0.6942  0.0032  0.0828  0.317  0.4925  0.39
Rachmaninoff 1923   22  0.7112  0.0220  0.1119  0.414  0.5714  0.48
Rangell 2001   77  0.4939  0.0080  0.0546  0.0533  0.2260  0.10
Richter 1976   48  0.6369  0.0067  0.0379  0.0324  0.2963  0.09
Rosen 1989   16  0.733  0.065  0.1110  0.4710  0.5312  0.50
Rosenthal 1930   66  0.5570  0.0074  0.0462  0.0432  0.2266  0.09
Rosenthal 1931   84  0.4172  0.0083  0.0373  0.0362  0.0488  0.03
Rosenthal 1931b   86  0.3980  0.0086  0.0369  0.0349  0.0584  0.04
Rosenthal 1931c   76  0.5065  0.0079  0.0461  0.0439  0.1772  0.08
Rosenthal 1931d   83  0.4363  0.0085  0.0288  0.0246  0.0783  0.04
Rossi 2007   81  0.4536  0.0081  0.0374  0.0327  0.2469  0.08
Rubinstein 1939   82  0.4325  0.0184  0.0286  0.0262  0.0486  0.03
Rubinstein 1952   70  0.5321  0.0158  0.0382  0.0354  0.0685  0.04
Rubinstein 1966   49  0.6227  0.0148  0.0454  0.0431  0.2759  0.10
Schilhawsky 1960   28  0.7048  0.0028  0.0925  0.3420  0.4326  0.38
Shebanova 2002   14  0.7476  0.0026  0.0618  0.4213  0.5019  0.46
Smith 1975   41  0.6557  0.0045  0.0548  0.0543  0.1075  0.07
Sokolov 2002   36  0.6835  0.0039  0.0739  0.2016  0.4237  0.29
Sztompka 1959   5  0.7830  0.009  0.138  0.513  0.577  0.54
Tomsic 1995   45  0.6467  0.0068  0.0378  0.0327  0.3158  0.10
Uninsky 1932   26  0.7149  0.0024  0.0622  0.394  0.5717  0.47
Uninsky 1971   20  0.724  0.0512  0.1211  0.475  0.5510  0.51
Wasowski 1980   42  0.6582  0.0056  0.0377  0.0327  0.2068  0.08
Zak 1937   18  0.7322  0.0114  0.1023  0.3813  0.4524  0.41
Zak 1951   17  0.735  0.0413  0.1214  0.4310  0.4820  0.45
Random 1   90  -0.2090  0.0090  0.0190  0.0176  0.0290  0.01
Random 2   88  -0.0885  0.0088  0.0287  0.0220  0.2277  0.07
Random 3   89  -0.1189  0.0089  0.0289  0.0243  0.0881  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).