Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.865  0.073  0.234  0.673  0.594  0.63
Anderszewski 2003   24  0.7426  0.0035  0.0630  0.2710  0.3833  0.32
Ashkenazy 1981   50  0.6625  0.0046  0.0748  0.0728  0.2455  0.13
Bacha 2000   76  0.5433  0.0065  0.0472  0.0434  0.1466  0.07
Badura 1965   38  0.7167  0.0031  0.0733  0.269  0.5725  0.38
Barbosa 1983   84  0.4530  0.0074  0.0381  0.0346  0.0873  0.05
Biret 1990   55  0.6524  0.0053  0.0555  0.0539  0.1265  0.08
Blet 2003   41  0.7170  0.0049  0.0559  0.0511  0.3853  0.14
Block 1995   69  0.5556  0.0058  0.0465  0.0438  0.1270  0.07
Blumental 1952   68  0.5738  0.0034  0.0642  0.1524  0.1947  0.17
Boshniakovich 1969   10  0.819  0.0311  0.1512  0.485  0.5813  0.53
Brailowsky 1960   70  0.5554  0.0079  0.0287  0.0277  0.0390  0.02
Bunin 1987   79  0.5077  0.0077  0.0380  0.0328  0.2963  0.09
Bunin 1987b   80  0.4982  0.0076  0.0383  0.0328  0.2962  0.09
Chiu 1999   78  0.5019  0.0066  0.0471  0.0457  0.0480  0.04
Cohen 1997   88  0.3171  0.0088  0.0373  0.0358  0.0488  0.03
Cortot 1951   56  0.6378  0.0067  0.0466  0.0451  0.0584  0.04
Csalog 1996   83  0.4779  0.0078  0.0382  0.0373  0.0386  0.03
Czerny 1949   6  0.8513  0.017  0.277  0.584  0.596  0.58
Czerny 1990   12  0.807  0.059  0.1310  0.532  0.5611  0.54
Duchoud 2007   66  0.5937  0.0064  0.0469  0.0422  0.2760  0.10
Ezaki 2006   30  0.7339  0.0044  0.0644  0.1319  0.3841  0.22
Falvay 1989   85  0.4559  0.0087  0.0376  0.0360  0.0681  0.04
Farrell 1958   58  0.6335  0.0052  0.0554  0.0547  0.0968  0.07
Ferenczy 1958   64  0.6086  0.0070  0.0560  0.0551  0.0575  0.05
Fliere 1977   2  0.884  0.085  0.275  0.652  0.575  0.61
Fou 1978   51  0.6627  0.0043  0.0643  0.1424  0.3043  0.20
Francois 1956   48  0.6972  0.0051  0.0652  0.0614  0.4648  0.17
Friedman 1923   43  0.7014  0.0145  0.0645  0.1219  0.4740  0.24
Friedman 1923b   42  0.7151  0.0040  0.0736  0.2018  0.4836  0.31
Friedman 1930   36  0.7287  0.0036  0.0639  0.1617  0.4838  0.28
Garcia 2007   21  0.7555  0.0039  0.0638  0.1813  0.4737  0.29
Garcia 2007b   34  0.7268  0.0037  0.0632  0.2616  0.4630  0.35
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   28  0.7321  0.0028  0.0637  0.203  0.5732  0.34
Groot 1988   73  0.5461  0.0071  0.0374  0.0346  0.0777  0.05
Harasiewicz 1955   29  0.7318  0.0025  0.0825  0.3427  0.3134  0.32
Hatto 1993   32  0.7236  0.0022  0.0818  0.4112  0.4919  0.45
Hatto 1997   27  0.7442  0.0023  0.1019  0.4111  0.4720  0.44
Horowitz 1949   52  0.6680  0.0056  0.0651  0.0635  0.3551  0.14
Indjic 1988   25  0.7428  0.0021  0.0916  0.4211  0.4817  0.45
Kapell 1951   44  0.7065  0.0032  0.0635  0.2130  0.1545  0.18
Kissin 1993   4  0.861  0.211  0.213  0.682  0.721  0.70
Kushner 1989   15  0.7815  0.0133  0.0628  0.2818  0.4327  0.35
Luisada 1991   23  0.7411  0.0116  0.1020  0.407  0.4621  0.43
Lushtak 2004   54  0.6573  0.0055  0.0556  0.0538  0.1464  0.08
Malcuzynski 1961   61  0.6144  0.0068  0.0557  0.0517  0.3156  0.12
Magaloff 1978   49  0.6849  0.0054  0.0553  0.059  0.4249  0.14
Magin 1975   18  0.7645  0.0015  0.1114  0.449  0.5115  0.47
Michalowski 1933   46  0.6952  0.0048  0.0946  0.0916  0.4444  0.20
Milkina 1970   19  0.7629  0.0018  0.1227  0.319  0.5023  0.39
Mohovich 1999   40  0.7132  0.0047  0.0947  0.0927  0.3846  0.18
Moravec 1969   81  0.4834  0.0086  0.0375  0.0346  0.0771  0.05
Morozova 2008   39  0.7150  0.0038  0.0634  0.2315  0.4235  0.31
Neighaus 1950   9  0.8131  0.0010  0.149  0.548  0.5610  0.55
Niedzielski 1931   22  0.7446  0.0020  0.0815  0.446  0.5414  0.49
Ohlsson 1999   11  0.8023  0.0012  0.168  0.544  0.618  0.57
Osinska 1989   8  0.836  0.078  0.1613  0.483  0.629  0.55
Pachmann 1927   53  0.6574  0.0060  0.0464  0.0414  0.3958  0.12
Paderewski 1930   59  0.6369  0.0057  0.0649  0.0627  0.3152  0.14
Perlemuter 1992   45  0.7081  0.0041  0.0441  0.1519  0.3242  0.22
Pierdomenico 2008   71  0.5560  0.0072  0.0561  0.0519  0.3750  0.14
Poblocka 1999   13  0.8022  0.0013  0.2211  0.514  0.5612  0.53
Rabcewiczowa 1932   60  0.6258  0.0059  0.0562  0.0542  0.1067  0.07
Rachmaninoff 1923   26  0.7457  0.0027  0.0629  0.279  0.4331  0.34
Rangell 2001   86  0.4548  0.0080  0.0385  0.0351  0.0489  0.03
Richter 1976   62  0.6162  0.0063  0.0468  0.0434  0.3657  0.12
Rosen 1989   16  0.7712  0.0117  0.1222  0.398  0.5516  0.46
Rosenthal 1930   57  0.6385  0.0061  0.0650  0.0614  0.3354  0.14
Rosenthal 1931   74  0.5489  0.0083  0.0286  0.0244  0.1374  0.05
Rosenthal 1931b   72  0.5575  0.0082  0.0288  0.0241  0.1278  0.05
Rosenthal 1931c   67  0.5864  0.0073  0.0377  0.0322  0.3161  0.10
Rosenthal 1931d   75  0.5488  0.0084  0.0470  0.0453  0.0583  0.04
Rossi 2007   82  0.4816  0.0185  0.0378  0.0356  0.0579  0.04
Rubinstein 1939   65  0.6083  0.0069  0.0558  0.0561  0.0482  0.04
Rubinstein 1952   87  0.4476  0.0075  0.0379  0.0369  0.0585  0.04
Rubinstein 1966   63  0.6017  0.0162  0.0467  0.0444  0.1369  0.07
Schilhawsky 1960   14  0.7920  0.0014  0.1021  0.4014  0.5118  0.45
Shebanova 2002   1  0.882  0.162  0.202  0.692  0.672  0.68
Smith 1975   35  0.7240  0.0050  0.0463  0.0422  0.2659  0.10
Sokolov 2002   47  0.698  0.0424  0.0831  0.263  0.5026  0.36
Sztompka 1959   7  0.8447  0.006  0.236  0.583  0.577  0.57
Tomsic 1995   77  0.5266  0.0081  0.0384  0.0346  0.0972  0.05
Uninsky 1932   37  0.7163  0.0026  0.0826  0.3319  0.4324  0.38
Uninsky 1971   31  0.7210  0.0119  0.0817  0.4120  0.4222  0.41
Wasowski 1980   33  0.7253  0.0042  0.0540  0.1611  0.3739  0.24
Zak 1937   17  0.7743  0.0030  0.0724  0.3614  0.3428  0.35
Zak 1951   20  0.7541  0.0029  0.0623  0.3714  0.3429  0.35
Average   3  0.883  0.134  0.301  0.745  0.543  0.63
Random 1   90  -0.1890  0.0090  0.0290  0.0258  0.0487  0.03
Random 2   89  -0.0884  0.0089  0.0289  0.0231  0.1576  0.05
Random 3   91  -0.2591  0.0091  0.0191  0.0182  0.0291  0.01

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).