Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7658  0.006  0.135  0.5430  0.2911  0.40
Anderszewski 2003   32  0.6540  0.0039  0.0643  0.1355  0.0454  0.07
Ashkenazy 1981   68  0.5259  0.0035  0.0637  0.2248  0.0642  0.11
Bacha 2000   65  0.5441  0.0041  0.0639  0.1527  0.1933  0.17
Badura 1965   70  0.5231  0.0066  0.0383  0.0354  0.0668  0.04
Barbosa 1983   77  0.4718  0.0162  0.0450  0.0429  0.1947  0.09
Biret 1990   63  0.5438  0.0044  0.0544  0.1049  0.0650  0.08
Blet 2003   27  0.6660  0.0045  0.0445  0.0949  0.0749  0.08
Block 1995   69  0.5279  0.0076  0.0459  0.0459  0.0470  0.04
Blumental 1952   53  0.5911  0.0218  0.0929  0.3626  0.1930  0.26
Boshniakovich 1969   40  0.6319  0.0151  0.0374  0.0360  0.0572  0.04
Brailowsky 1960   45  0.6026  0.0052  0.0377  0.0331  0.2348  0.08
Bunin 1987   79  0.4336  0.0081  0.0466  0.0453  0.0659  0.05
Bunin 1987b   81  0.4266  0.0080  0.0370  0.0353  0.0664  0.04
Chiu 1999   71  0.5287  0.0050  0.0381  0.0354  0.0477  0.03
Cohen 1997   88  0.2545  0.0085  0.0288  0.0266  0.0486  0.03
Cortot 1951   12  0.7233  0.0029  0.0931  0.3110  0.4813  0.39
Csalog 1996   78  0.4664  0.0074  0.0371  0.0353  0.0482  0.03
Czerny 1949   2  0.817  0.054  0.222  0.6417  0.513  0.57
Czerny 1990   1  0.821  0.251  0.241  0.685  0.541  0.61
Duchoud 2007   84  0.3924  0.0183  0.0451  0.0469  0.0383  0.03
Ezaki 2006   21  0.6975  0.0024  0.0921  0.4425  0.3214  0.38
Falvay 1989   85  0.3974  0.0087  0.0376  0.0372  0.0478  0.03
Farrell 1958   51  0.5961  0.0048  0.0380  0.0352  0.0661  0.04
Ferenczy 1958   25  0.6776  0.0034  0.0534  0.2616  0.3723  0.31
Fliere 1977   4  0.7725  0.0115  0.1113  0.4940  0.1529  0.27
Fou 1978   76  0.5080  0.0073  0.0382  0.0381  0.0380  0.03
Francois 1956   30  0.6514  0.0138  0.0636  0.2320  0.4226  0.31
Friedman 1923   11  0.7430  0.009  0.109  0.5015  0.507  0.50
Friedman 1923b   9  0.7510  0.027  0.168  0.5117  0.506  0.50
Friedman 1930   7  0.7516  0.0114  0.1214  0.4912  0.515  0.50
Garcia 2007   24  0.6713  0.0221  0.0826  0.3827  0.3218  0.35
Garcia 2007b   38  0.6428  0.0026  0.1328  0.3722  0.3716  0.37
Gierzod 1998   10  0.743  0.115  0.186  0.5415  0.448  0.49
Gornostaeva 1994   42  0.6234  0.0056  0.0454  0.0453  0.0573  0.04
Groot 1988   74  0.5035  0.0075  0.0464  0.0462  0.0574  0.04
Harasiewicz 1955   41  0.6381  0.0049  0.0375  0.0375  0.0488  0.03
Hatto 1993   39  0.6412  0.0230  0.0920  0.4534  0.2225  0.31
Hatto 1997   35  0.6582  0.0031  0.1519  0.4633  0.2321  0.33
Horowitz 1949   59  0.5622  0.0171  0.0372  0.0353  0.0755  0.05
Indjic 1988   33  0.6583  0.0028  0.1117  0.4633  0.2420  0.33
Kapell 1951   22  0.6832  0.0016  0.1012  0.4937  0.1231  0.24
Kissin 1993   20  0.7088  0.0019  0.0922  0.4330  0.2422  0.32
Kushner 1989   34  0.6546  0.0057  0.0457  0.0471  0.0462  0.04
Luisada 1991   26  0.6715  0.0127  0.1224  0.4166  0.0435  0.13
Lushtak 2004   54  0.5884  0.0061  0.0461  0.0468  0.0469  0.04
Malcuzynski 1961   44  0.6117  0.0120  0.0838  0.1818  0.3032  0.23
Magaloff 1978   56  0.5723  0.0153  0.0465  0.0431  0.2346  0.10
Magin 1975   28  0.6662  0.0033  0.0633  0.2646  0.0736  0.13
Michalowski 1933   49  0.5937  0.0060  0.0458  0.0450  0.0657  0.05
Milkina 1970   48  0.5990  0.0063  0.0549  0.0586  0.0363  0.04
Mohovich 1999   57  0.5777  0.0055  0.0546  0.0558  0.0658  0.05
Moravec 1969   29  0.666  0.0612  0.1027  0.371  0.684  0.50
Morozova 2008   52  0.5967  0.0059  0.0452  0.0457  0.0467  0.04
Neighaus 1950   14  0.718  0.0213  0.0918  0.4629  0.3115  0.38
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   55  0.5820  0.0154  0.0453  0.0476  0.0381  0.03
Osinska 1989   16  0.7185  0.0025  0.1023  0.4337  0.2027  0.29
Pachmann 1927   73  0.5155  0.0086  0.0386  0.0386  0.0289  0.02
Paderewski 1930   47  0.6029  0.0058  0.0455  0.0440  0.1353  0.07
Perlemuter 1992   50  0.5939  0.0043  0.0642  0.1361  0.0451  0.07
Pierdomenico 2008   82  0.4048  0.0079  0.0460  0.0457  0.0560  0.04
Poblocka 1999   23  0.6878  0.0037  0.0835  0.2563  0.0539  0.11
Rabcewiczowa 1932   46  0.6053  0.0042  0.0541  0.1457  0.0452  0.07
Rachmaninoff 1923   18  0.709  0.0210  0.107  0.5213  0.3710  0.44
Rangell 2001   87  0.2986  0.0084  0.0387  0.0364  0.0387  0.03
Richter 1976   75  0.5043  0.0082  0.0548  0.0551  0.0656  0.05
Rosen 1989   43  0.6252  0.0046  0.0547  0.0568  0.0471  0.04
Rosenthal 1930   58  0.5627  0.0069  0.0384  0.0359  0.0484  0.03
Rosenthal 1931   61  0.5456  0.0047  0.0379  0.0315  0.4441  0.11
Rosenthal 1931b   64  0.5489  0.0068  0.0385  0.0316  0.4443  0.11
Rosenthal 1931c   60  0.5463  0.0070  0.0369  0.0316  0.3844  0.11
Rosenthal 1931d   67  0.5344  0.0072  0.0467  0.0420  0.3738  0.12
Rossi 2007   66  0.5321  0.0164  0.0378  0.0324  0.3145  0.10
Rubinstein 1939   62  0.5454  0.0065  0.0373  0.0362  0.0479  0.03
Rubinstein 1952   86  0.3891  0.0078  0.0463  0.0464  0.0575  0.04
Rubinstein 1966   72  0.5272  0.0077  0.0368  0.0358  0.0566  0.04
Schilhawsky 1960   8  0.754  0.088  0.1510  0.5017  0.479  0.48
Shebanova 2002   13  0.7249  0.0017  0.0915  0.4838  0.2024  0.31
Smith 1975   36  0.6442  0.0040  0.0640  0.1538  0.1434  0.14
Sokolov 2002   80  0.4350  0.0067  0.0456  0.0487  0.0276  0.03
Sztompka 1959   15  0.7147  0.0011  0.1011  0.5034  0.2319  0.34
Tomsic 1995   83  0.4065  0.0088  0.0462  0.0465  0.0565  0.04
Uninsky 1932   6  0.762  0.122  0.153  0.612  0.562  0.58
Uninsky 1971   17  0.7068  0.0023  0.0925  0.4036  0.3217  0.36
Wasowski 1980   19  0.7057  0.0022  0.0916  0.4816  0.3212  0.39
Zak 1937   31  0.6551  0.0032  0.0530  0.3163  0.0440  0.11
Zak 1951   37  0.6469  0.0036  0.0632  0.2849  0.0637  0.13
Average   3  0.795  0.063  0.184  0.6041  0.1428  0.29
Random 1   89  -0.1870  0.0089  0.0289  0.0247  0.0685  0.03
Random 2   91  -0.2771  0.0090  0.0190  0.0182  0.0290  0.01
Random 3   90  -0.2173  0.0091  0.0191  0.0181  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).