Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.6042  0.009  0.138  0.4932  0.2712  0.36
Anderszewski 2003   29  0.5337  0.0050  0.0551  0.0557  0.0471  0.04
Ashkenazy 1981   49  0.4727  0.0023  0.1120  0.4127  0.2914  0.34
Bacha 2000   66  0.4367  0.0060  0.0464  0.0455  0.0563  0.04
Badura 1965   62  0.4421  0.0157  0.0553  0.0558  0.0560  0.05
Barbosa 1983   74  0.4018  0.0161  0.0556  0.0562  0.0559  0.05
Biret 1990   47  0.4831  0.0034  0.0637  0.1846  0.0643  0.10
Blet 2003   35  0.5139  0.0046  0.0557  0.0536  0.1745  0.09
Block 1995   65  0.4341  0.0047  0.0554  0.0568  0.0472  0.04
Blumental 1952   33  0.515  0.078  0.1315  0.4625  0.2513  0.34
Boshniakovich 1969   21  0.5444  0.0040  0.0741  0.1563  0.0451  0.08
Brailowsky 1960   59  0.4577  0.0064  0.0375  0.0337  0.2348  0.08
Bunin 1987   80  0.3547  0.0076  0.0460  0.0451  0.0574  0.04
Bunin 1987b   79  0.3583  0.0075  0.0382  0.0349  0.0567  0.04
Chiu 1999   73  0.4184  0.0067  0.0376  0.0361  0.0564  0.04
Cohen 1997   86  0.2772  0.0083  0.0380  0.0363  0.0485  0.03
Cortot 1951   42  0.4911  0.0168  0.0378  0.0334  0.2646  0.09
Csalog 1996   77  0.3864  0.0074  0.0369  0.0361  0.0570  0.04
Czerny 1949   13  0.5738  0.0024  0.1024  0.3542  0.1725  0.24
Czerny 1990   5  0.6160  0.0010  0.1212  0.4645  0.0828  0.19
Duchoud 2007   85  0.3025  0.0184  0.0386  0.0377  0.0382  0.03
Ezaki 2006   27  0.5365  0.0035  0.0635  0.2052  0.0639  0.11
Falvay 1989   78  0.3653  0.0082  0.0462  0.0451  0.0756  0.05
Farrell 1958   51  0.4773  0.0065  0.0374  0.0380  0.0377  0.03
Ferenczy 1958   37  0.5181  0.0033  0.0632  0.2117  0.4417  0.30
Fliere 1977   2  0.6178  0.0011  0.1016  0.4651  0.0632  0.17
Fou 1978   71  0.4285  0.0072  0.0379  0.0383  0.0378  0.03
Francois 1956   48  0.4850  0.0059  0.0549  0.0540  0.1747  0.09
Friedman 1923   12  0.5817  0.0117  0.0911  0.4715  0.506  0.48
Friedman 1923b   10  0.606  0.0412  0.156  0.5013  0.534  0.51
Friedman 1930   9  0.6010  0.0216  0.089  0.4715  0.525  0.49
Garcia 2007   40  0.4915  0.0145  0.0745  0.0738  0.2238  0.12
Garcia 2007b   54  0.4651  0.0049  0.0646  0.0676  0.0462  0.05
Gierzod 1998   7  0.601  0.241  0.232  0.5531  0.378  0.45
Gornostaeva 1994   22  0.5435  0.0036  0.0536  0.2035  0.1631  0.18
Groot 1988   70  0.4220  0.0152  0.0558  0.0560  0.0561  0.05
Harasiewicz 1955   28  0.5355  0.0039  0.0638  0.1779  0.0352  0.07
Hatto 1993   26  0.5333  0.0013  0.1110  0.4740  0.1918  0.30
Hatto 1997   24  0.5386  0.0018  0.0818  0.4446  0.0729  0.18
Horowitz 1949   61  0.449  0.0341  0.0543  0.1134  0.3327  0.19
Indjic 1988   23  0.5474  0.0015  0.0813  0.4642  0.1423  0.25
Kapell 1951   34  0.5112  0.0130  0.0929  0.2770  0.0442  0.10
Kissin 1993   16  0.5645  0.0022  0.1022  0.4043  0.1524  0.24
Kushner 1989   44  0.4870  0.0062  0.0371  0.0385  0.0287  0.02
Luisada 1991   25  0.5329  0.0025  0.0921  0.4044  0.1126  0.21
Lushtak 2004   64  0.4371  0.0069  0.0385  0.0382  0.0383  0.03
Malcuzynski 1961   17  0.568  0.047  0.1325  0.3326  0.2519  0.29
Magaloff 1978   55  0.4640  0.0055  0.0550  0.0537  0.1744  0.09
Magin 1975   18  0.5649  0.0027  0.0727  0.2953  0.0537  0.12
Michalowski 1933   57  0.4562  0.0063  0.0377  0.0346  0.0858  0.05
Milkina 1970   60  0.4587  0.0071  0.0384  0.0369  0.0566  0.04
Mohovich 1999   67  0.4376  0.0066  0.0372  0.0361  0.0573  0.04
Moravec 1969   15  0.563  0.103  0.114  0.533  0.691  0.60
Morozova 2008   68  0.4279  0.0079  0.0368  0.0374  0.0481  0.03
Neighaus 1950   14  0.5716  0.0119  0.1119  0.4229  0.2715  0.34
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   45  0.4819  0.0154  0.0461  0.0459  0.0569  0.04
Osinska 1989   38  0.5061  0.0042  0.0544  0.0978  0.0354  0.05
Pachmann 1927   82  0.3388  0.0087  0.0465  0.0480  0.0279  0.03
Paderewski 1930   58  0.4528  0.0070  0.0373  0.0335  0.2050  0.08
Perlemuter 1992   75  0.4068  0.0048  0.0555  0.0551  0.0553  0.05
Pierdomenico 2008   84  0.3130  0.0081  0.0466  0.0465  0.0565  0.04
Poblocka 1999   32  0.5257  0.0037  0.0539  0.1671  0.0449  0.08
Rabcewiczowa 1932   41  0.4958  0.0031  0.0733  0.2153  0.0541  0.10
Rachmaninoff 1923   3  0.612  0.142  0.191  0.639  0.542  0.58
Rangell 2001   87  0.2789  0.0085  0.0370  0.0366  0.0486  0.03
Richter 1976   53  0.4646  0.0073  0.0381  0.0351  0.0668  0.04
Rosen 1989   36  0.5126  0.0132  0.0631  0.2564  0.0540  0.11
Rosenthal 1930   43  0.4924  0.0151  0.0647  0.0614  0.5230  0.18
Rosenthal 1931   56  0.4554  0.0043  0.0540  0.1513  0.5220  0.28
Rosenthal 1931b   50  0.4713  0.0114  0.1026  0.309  0.6110  0.43
Rosenthal 1931c   39  0.5066  0.0038  0.0834  0.2014  0.5316  0.33
Rosenthal 1931d   63  0.4334  0.0044  0.0742  0.1317  0.5121  0.26
Rossi 2007   52  0.4622  0.0158  0.0552  0.0523  0.3336  0.13
Rubinstein 1939   76  0.3963  0.0080  0.0367  0.0377  0.0376  0.03
Rubinstein 1952   83  0.3182  0.0077  0.0387  0.0385  0.0289  0.02
Rubinstein 1966   72  0.4148  0.0078  0.0383  0.0376  0.0480  0.03
Schilhawsky 1960   1  0.627  0.045  0.157  0.5027  0.417  0.45
Shebanova 2002   19  0.5532  0.0020  0.1017  0.4566  0.0533  0.15
Smith 1975   46  0.4880  0.0053  0.0463  0.0479  0.0375  0.03
Sokolov 2002   69  0.4223  0.0156  0.0648  0.0654  0.0555  0.05
Sztompka 1959   8  0.6014  0.016  0.145  0.5235  0.359  0.43
Tomsic 1995   81  0.3436  0.0086  0.0559  0.0572  0.0557  0.05
Uninsky 1932   4  0.614  0.084  0.153  0.5314  0.493  0.51
Uninsky 1971   11  0.5856  0.0021  0.0914  0.4631  0.2911  0.37
Wasowski 1980   20  0.5469  0.0026  0.0923  0.3640  0.1822  0.25
Zak 1937   30  0.5252  0.0028  0.0928  0.2848  0.0734  0.14
Zak 1951   31  0.5243  0.0029  0.0730  0.2749  0.0735  0.14
Random 1   88  -0.0975  0.0088  0.0288  0.0253  0.0484  0.03
Random 2   89  -0.1159  0.0089  0.0189  0.0167  0.0388  0.02
Random 3   90  -0.1390  0.0090  0.0190  0.0183  0.0290  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).