Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6046  0.0010  0.139  0.4933  0.2712  0.36
Anderszewski 2003   30  0.5333  0.0051  0.0552  0.0558  0.0471  0.04
Ashkenazy 1981   50  0.4727  0.0024  0.1121  0.4128  0.2914  0.34
Bacha 2000   67  0.4368  0.0061  0.0465  0.0456  0.0464  0.04
Badura 1965   63  0.4419  0.0158  0.0554  0.0559  0.0561  0.05
Barbosa 1983   75  0.4017  0.0162  0.0557  0.0563  0.0560  0.05
Biret 1990   48  0.4840  0.0035  0.0638  0.1847  0.0644  0.10
Blet 2003   36  0.5137  0.0047  0.0558  0.0537  0.1746  0.09
Block 1995   66  0.4339  0.0048  0.0555  0.0569  0.0472  0.04
Blumental 1952   34  0.515  0.059  0.1316  0.4626  0.2513  0.34
Boshniakovich 1969   22  0.5441  0.0041  0.0742  0.1564  0.0452  0.08
Brailowsky 1960   60  0.4578  0.0065  0.0376  0.0338  0.2349  0.08
Bunin 1987   81  0.3544  0.0077  0.0461  0.0452  0.0574  0.04
Bunin 1987b   80  0.3584  0.0076  0.0383  0.0350  0.0568  0.04
Chiu 1999   74  0.4185  0.0068  0.0377  0.0362  0.0565  0.04
Cohen 1997   87  0.2772  0.0084  0.0381  0.0364  0.0486  0.03
Cortot 1951   43  0.4912  0.0169  0.0379  0.0335  0.2647  0.09
Csalog 1996   78  0.3865  0.0075  0.0370  0.0362  0.0480  0.03
Czerny 1949   14  0.5735  0.0025  0.1025  0.3543  0.1725  0.24
Czerny 1990   6  0.6161  0.0011  0.1213  0.4646  0.0829  0.19
Duchoud 2007   86  0.3023  0.0185  0.0387  0.0378  0.0383  0.03
Ezaki 2006   28  0.5366  0.0036  0.0636  0.2053  0.0640  0.11
Falvay 1989   79  0.3654  0.0083  0.0463  0.0452  0.0757  0.05
Farrell 1958   52  0.4773  0.0066  0.0375  0.0381  0.0377  0.03
Ferenczy 1958   38  0.5182  0.0034  0.0633  0.2118  0.4417  0.30
Fliere 1977   3  0.6179  0.0012  0.1017  0.4652  0.0633  0.17
Fou 1978   72  0.4286  0.0073  0.0380  0.0384  0.0378  0.03
Francois 1956   49  0.4851  0.0060  0.0550  0.0541  0.1748  0.09
Friedman 1923   13  0.5816  0.0118  0.0912  0.4716  0.506  0.48
Friedman 1923b   11  0.606  0.0413  0.157  0.5014  0.534  0.51
Friedman 1930   10  0.6011  0.0117  0.0810  0.4716  0.525  0.49
Garcia 2007   41  0.4914  0.0146  0.0746  0.0739  0.2239  0.12
Garcia 2007b   55  0.4652  0.0050  0.0647  0.0677  0.0463  0.05
Gierzod 1998   8  0.602  0.132  0.233  0.5532  0.378  0.45
Gornostaeva 1994   23  0.5434  0.0037  0.0537  0.2036  0.1632  0.18
Groot 1988   71  0.4220  0.0153  0.0559  0.0561  0.0562  0.05
Harasiewicz 1955   29  0.5356  0.0040  0.0639  0.1780  0.0353  0.07
Hatto 1993   27  0.5330  0.0014  0.1011  0.4741  0.1918  0.30
Hatto 1997   25  0.5387  0.0019  0.0819  0.4447  0.0730  0.18
Horowitz 1949   62  0.449  0.0342  0.0544  0.1135  0.3327  0.19
Indjic 1988   24  0.5474  0.0016  0.0814  0.4643  0.1423  0.25
Kapell 1951   35  0.5113  0.0131  0.0930  0.2771  0.0443  0.10
Kissin 1993   17  0.5642  0.0023  0.1023  0.4044  0.1524  0.24
Kushner 1989   45  0.4870  0.0063  0.0372  0.0386  0.0288  0.02
Luisada 1991   26  0.5328  0.0026  0.0922  0.4045  0.1126  0.21
Lushtak 2004   65  0.4371  0.0070  0.0386  0.0383  0.0384  0.03
Malcuzynski 1961   18  0.567  0.048  0.1326  0.3327  0.2519  0.29
Magaloff 1978   56  0.4638  0.0056  0.0551  0.0538  0.1745  0.09
Magin 1975   19  0.5649  0.0028  0.0728  0.2954  0.0538  0.12
Michalowski 1933   58  0.4563  0.0064  0.0378  0.0347  0.0859  0.05
Milkina 1970   61  0.4588  0.0072  0.0385  0.0370  0.0567  0.04
Mohovich 1999   68  0.4377  0.0067  0.0373  0.0362  0.0573  0.04
Moravec 1969   16  0.563  0.094  0.115  0.534  0.691  0.60
Morozova 2008   69  0.4280  0.0080  0.0369  0.0375  0.0382  0.03
Neighaus 1950   15  0.5729  0.0020  0.1120  0.4230  0.2715  0.34
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   46  0.4818  0.0155  0.0462  0.0460  0.0570  0.04
Osinska 1989   39  0.5062  0.0043  0.0445  0.0979  0.0355  0.05
Pachmann 1927   83  0.3389  0.0088  0.0466  0.0481  0.0279  0.03
Paderewski 1930   59  0.4526  0.0071  0.0374  0.0336  0.2051  0.08
Perlemuter 1992   76  0.4075  0.0049  0.0556  0.0552  0.0554  0.05
Pierdomenico 2008   85  0.3131  0.0082  0.0467  0.0466  0.0566  0.04
Poblocka 1999   33  0.5258  0.0038  0.0540  0.1672  0.0450  0.08
Rabcewiczowa 1932   42  0.4959  0.0032  0.0734  0.2154  0.0542  0.10
Rachmaninoff 1923   4  0.614  0.073  0.192  0.6310  0.542  0.58
Rangell 2001   88  0.2790  0.0086  0.0371  0.0367  0.0487  0.03
Richter 1976   54  0.4643  0.0074  0.0382  0.0352  0.0669  0.04
Rosen 1989   37  0.5124  0.0133  0.0632  0.2565  0.0541  0.11
Rosenthal 1930   44  0.4922  0.0152  0.0648  0.0615  0.5231  0.18
Rosenthal 1931   57  0.4555  0.0044  0.0541  0.1514  0.5220  0.28
Rosenthal 1931b   51  0.4715  0.0115  0.1027  0.3010  0.6110  0.43
Rosenthal 1931c   40  0.5067  0.0039  0.0835  0.2015  0.5316  0.33
Rosenthal 1931d   64  0.4332  0.0045  0.0743  0.1318  0.5121  0.26
Rossi 2007   53  0.4625  0.0159  0.0553  0.0524  0.3337  0.13
Rubinstein 1939   77  0.3964  0.0081  0.0368  0.0378  0.0376  0.03
Rubinstein 1952   84  0.3183  0.0078  0.0388  0.0386  0.0290  0.02
Rubinstein 1966   73  0.4150  0.0079  0.0384  0.0377  0.0481  0.03
Schilhawsky 1960   2  0.628  0.046  0.158  0.5028  0.417  0.45
Shebanova 2002   20  0.5548  0.0021  0.1018  0.4567  0.0534  0.15
Smith 1975   47  0.4881  0.0054  0.0464  0.0480  0.0375  0.03
Sokolov 2002   70  0.4221  0.0157  0.0549  0.0555  0.0556  0.05
Sztompka 1959   9  0.6047  0.007  0.146  0.5236  0.359  0.43
Tomsic 1995   82  0.3436  0.0087  0.0560  0.0573  0.0558  0.05
Uninsky 1932   5  0.6110  0.025  0.154  0.5315  0.493  0.51
Uninsky 1971   12  0.5857  0.0022  0.0915  0.4632  0.2911  0.37
Wasowski 1980   21  0.5469  0.0027  0.0824  0.3641  0.1822  0.25
Zak 1937   31  0.5253  0.0029  0.0829  0.2849  0.0735  0.14
Zak 1951   32  0.5245  0.0030  0.0731  0.2750  0.0736  0.14
Average   1  0.681  0.311  0.311  0.6960  0.0528  0.19
Random 1   89  -0.0976  0.0089  0.0289  0.0253  0.0485  0.03
Random 2   90  -0.1160  0.0090  0.0190  0.0166  0.0389  0.02
Random 3   91  -0.1391  0.0091  0.0191  0.0184  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).