Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.436  0.059  0.1717  0.5312  0.5718  0.55
Anderszewski 2003   81  0.1480  0.0074  0.0375  0.0371  0.0482  0.03
Ashkenazy 1981   5  0.595  0.064  0.214  0.7716  0.738  0.75
Bacha 2000   79  0.1581  0.0078  0.0381  0.0371  0.0478  0.03
Badura 1965   57  0.2882  0.0058  0.0652  0.0632  0.3150  0.14
Barbosa 1983   59  0.2722  0.0053  0.0654  0.0638  0.1757  0.10
Biret 1990   84  0.0961  0.0087  0.0189  0.0184  0.0290  0.01
Blet 2003   32  0.4283  0.0044  0.0745  0.1330  0.4144  0.23
Block 1995   19  0.468  0.0212  0.1716  0.5613  0.5917  0.57
Blumental 1952   56  0.2962  0.0051  0.0561  0.0533  0.2953  0.12
Boshniakovich 1969   51  0.3237  0.0056  0.0657  0.0644  0.1360  0.09
Brailowsky 1960   83  0.1157  0.0082  0.0383  0.0367  0.0480  0.03
Bunin 1987   34  0.4150  0.0022  0.1029  0.3915  0.5329  0.45
Bunin 1987b   35  0.4151  0.0023  0.1330  0.3916  0.5227  0.45
Chiu 1999   17  0.4671  0.0027  0.0922  0.4827  0.4425  0.46
Cohen 1997   53  0.3224  0.0055  0.0562  0.0556  0.0672  0.05
Cortot 1951   68  0.2384  0.0066  0.0470  0.0444  0.1166  0.07
Csalog 1996   49  0.3335  0.0057  0.0653  0.0640  0.1956  0.11
Czerny 1949   86  0.0872  0.0086  0.0286  0.0263  0.0585  0.03
Czerny 1990   2  0.621  0.311  0.312  0.813  0.871  0.84
Duchoud 2007   43  0.3727  0.0045  0.0749  0.0737  0.2152  0.12
Ezaki 2006   69  0.2248  0.0067  0.0377  0.0341  0.2062  0.08
Falvay 1989   66  0.2463  0.0073  0.0568  0.0559  0.0474  0.04
Farrell 1958   61  0.2785  0.0065  0.0660  0.0634  0.2751  0.13
Ferenczy 1958   89  -0.0167  0.0088  0.0287  0.0261  0.0584  0.03
Fliere 1977   1  0.652  0.202  0.331  0.836  0.822  0.82
Fou 1978   22  0.4531  0.0032  0.0927  0.4124  0.4231  0.41
Francois 1956   74  0.1673  0.0083  0.0379  0.0379  0.0288  0.02
Friedman 1923   13  0.4843  0.0020  0.2011  0.6015  0.6712  0.63
Friedman 1923b   12  0.4819  0.0019  0.1310  0.6115  0.7010  0.65
Friedman 1930   26  0.4445  0.0031  0.0928  0.4029  0.5226  0.46
Garcia 2007   52  0.3254  0.0036  0.1037  0.2926  0.4037  0.34
Garcia 2007b   45  0.3668  0.0049  0.1344  0.1321  0.5441  0.26
Gierzod 1998   76  0.1686  0.0061  0.0659  0.0650  0.0767  0.06
Gornostaeva 1994   55  0.2938  0.0042  0.0743  0.1444  0.1749  0.15
Groot 1988   4  0.609  0.027  0.326  0.773  0.775  0.77
Harasiewicz 1955   41  0.3913  0.0141  0.0838  0.2631  0.2640  0.26
Hatto 1993   28  0.4328  0.0021  0.1020  0.5218  0.5323  0.52
Hatto 1997   54  0.3032  0.0052  0.0658  0.0640  0.1458  0.09
Horowitz 1949   20  0.4617  0.0029  0.0924  0.4614  0.6420  0.54
Indjic 1988   38  0.4074  0.0028  0.0826  0.4124  0.5028  0.45
Kapell 1951   47  0.3464  0.0050  0.0847  0.0856  0.0663  0.07
Kissin 1993   11  0.5114  0.0111  0.189  0.6613  0.739  0.69
Kushner 1989   21  0.4530  0.0033  0.0936  0.3028  0.4035  0.35
Luisada 1991   29  0.4353  0.0040  0.0939  0.2430  0.3638  0.29
Lushtak 2004   70  0.1849  0.0077  0.0563  0.0576  0.0477  0.04
Malcuzynski 1961   16  0.4644  0.0026  0.0821  0.5015  0.5721  0.53
Magaloff 1978   27  0.4426  0.0025  0.0732  0.3725  0.4433  0.40
Magin 1975   44  0.3721  0.0046  0.0750  0.0730  0.4546  0.18
Michalowski 1933   42  0.3975  0.0043  0.0642  0.1527  0.4042  0.24
Milkina 1970   77  0.1558  0.0069  0.0473  0.0455  0.0576  0.04
Mohovich 1999   65  0.2641  0.0059  0.0656  0.0645  0.0964  0.07
Moravec 1969   23  0.4546  0.0017  0.1018  0.538  0.6514  0.59
Morozova 2008   15  0.474  0.0710  0.1919  0.5212  0.5222  0.52
Neighaus 1950   39  0.4039  0.0024  0.0733  0.3738  0.1839  0.26
Niedzielski 1931   14  0.4811  0.0114  0.1613  0.5712  0.5716  0.57
Ohlsson 1999   40  0.4033  0.0038  0.0841  0.2234  0.1845  0.20
Osinska 1989   72  0.1687  0.0081  0.0382  0.0375  0.0379  0.03
Pachmann 1927   36  0.4155  0.0039  0.0740  0.2321  0.5336  0.35
Paderewski 1930   33  0.4129  0.0034  0.1034  0.3419  0.5630  0.44
Perlemuter 1992   10  0.5140  0.0018  0.1115  0.565  0.7411  0.64
Pierdomenico 2008   24  0.4434  0.0035  0.1131  0.396  0.6324  0.50
Poblocka 1999   18  0.4625  0.0016  0.1214  0.573  0.6413  0.60
Rabcewiczowa 1932   63  0.2618  0.0062  0.0751  0.0732  0.3348  0.15
Rachmaninoff 1923   8  0.537  0.026  0.218  0.732  0.824  0.77
Rangell 2001   60  0.2760  0.0063  0.0566  0.0565  0.0573  0.05
Richter 1976   6  0.5810  0.018  0.317  0.7515  0.776  0.76
Rosen 1989   31  0.4247  0.0030  0.0825  0.4130  0.4232  0.41
Rosenthal 1930   25  0.4416  0.0113  0.1623  0.469  0.6619  0.55
Rosenthal 1931   71  0.1765  0.0068  0.0472  0.0438  0.3055  0.11
Rosenthal 1931b   75  0.1688  0.0076  0.0565  0.0541  0.1561  0.09
Rosenthal 1931c   48  0.3442  0.0048  0.1046  0.1014  0.5643  0.24
Rosenthal 1931d   78  0.1576  0.0075  0.0374  0.0342  0.1765  0.07
Rossi 2007   80  0.1420  0.0070  0.0376  0.0320  0.3854  0.11
Rubinstein 1939   67  0.2389  0.0071  0.0471  0.0460  0.0475  0.04
Rubinstein 1952   46  0.3656  0.0047  0.0848  0.0823  0.4247  0.18
Rubinstein 1966   50  0.3390  0.0054  0.0567  0.0564  0.0571  0.05
Schilhawsky 1960   73  0.1669  0.0079  0.0380  0.0373  0.0483  0.03
Shebanova 2002   3  0.6012  0.013  0.233  0.809  0.763  0.78
Smith 1975   64  0.2659  0.0072  0.0569  0.0561  0.0569  0.05
Sokolov 2002   58  0.2877  0.0064  0.0564  0.0545  0.0668  0.05
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   37  0.4123  0.0037  0.1135  0.3310  0.4734  0.39
Uninsky 1932   7  0.563  0.125  0.245  0.773  0.747  0.75
Uninsky 1971   62  0.2636  0.0060  0.0655  0.0661  0.0570  0.05
Wasowski 1980   9  0.5215  0.0115  0.1312  0.5815  0.5915  0.58
Zak 1937   82  0.1366  0.0080  0.0378  0.0379  0.0381  0.03
Zak 1951   85  0.0970  0.0084  0.0284  0.0279  0.0387  0.02
Random 1   87  0.0352  0.0085  0.0285  0.0212  0.3759  0.09
Random 2   88  0.0078  0.0089  0.0288  0.0254  0.0586  0.03
Random 3   90  -0.0279  0.0090  0.0190  0.0177  0.0289  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).