Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.7658  0.005  0.144  0.5429  0.2911  0.40
Anderszewski 2003   31  0.6541  0.0038  0.0642  0.1354  0.0453  0.07
Ashkenazy 1981   67  0.5259  0.0034  0.0636  0.2247  0.0641  0.11
Bacha 2000   64  0.5442  0.0040  0.0638  0.1526  0.1932  0.17
Badura 1965   69  0.5234  0.0065  0.0382  0.0353  0.0667  0.04
Barbosa 1983   76  0.4717  0.0161  0.0449  0.0428  0.1946  0.09
Biret 1990   62  0.5436  0.0043  0.0543  0.1048  0.0649  0.08
Blet 2003   26  0.6660  0.0044  0.0544  0.0948  0.0748  0.08
Block 1995   68  0.5278  0.0075  0.0458  0.0458  0.0469  0.04
Blumental 1952   52  0.5910  0.0217  0.0928  0.3625  0.1929  0.26
Boshniakovich 1969   39  0.6318  0.0150  0.0373  0.0359  0.0571  0.04
Brailowsky 1960   44  0.6025  0.0051  0.0376  0.0330  0.2347  0.08
Bunin 1987   78  0.4337  0.0080  0.0465  0.0452  0.0659  0.05
Bunin 1987b   80  0.4266  0.0079  0.0369  0.0352  0.0663  0.04
Chiu 1999   70  0.5286  0.0049  0.0380  0.0353  0.0476  0.03
Cohen 1997   87  0.2547  0.0084  0.0287  0.0265  0.0485  0.03
Cortot 1951   11  0.7235  0.0028  0.1030  0.319  0.4813  0.39
Csalog 1996   77  0.4664  0.0073  0.0370  0.0352  0.0481  0.03
Czerny 1949   2  0.816  0.053  0.222  0.6416  0.513  0.57
Czerny 1990   1  0.821  0.281  0.271  0.684  0.541  0.61
Duchoud 2007   83  0.3923  0.0182  0.0450  0.0468  0.0382  0.03
Ezaki 2006   20  0.6974  0.0023  0.0920  0.4424  0.3214  0.38
Falvay 1989   84  0.3972  0.0086  0.0375  0.0371  0.0477  0.03
Farrell 1958   50  0.5961  0.0047  0.0379  0.0351  0.0660  0.04
Ferenczy 1958   24  0.6775  0.0033  0.0533  0.2615  0.3723  0.31
Fliere 1977   3  0.7722  0.0114  0.1112  0.4939  0.1528  0.27
Fou 1978   75  0.5080  0.0072  0.0381  0.0380  0.0379  0.03
Francois 1956   29  0.6513  0.0137  0.0635  0.2319  0.4226  0.31
Friedman 1923   10  0.7432  0.008  0.118  0.5014  0.507  0.50
Friedman 1923b   8  0.759  0.026  0.167  0.5116  0.506  0.50
Friedman 1930   6  0.7514  0.0113  0.1213  0.4911  0.515  0.50
Garcia 2007   23  0.6711  0.0220  0.0825  0.3826  0.3218  0.35
Garcia 2007b   37  0.6430  0.0025  0.1327  0.3721  0.3716  0.37
Gierzod 1998   9  0.743  0.114  0.185  0.5414  0.448  0.49
Gornostaeva 1994   41  0.6233  0.0055  0.0453  0.0452  0.0572  0.04
Groot 1988   73  0.5026  0.0074  0.0463  0.0461  0.0573  0.04
Harasiewicz 1955   40  0.6379  0.0048  0.0374  0.0374  0.0487  0.03
Hatto 1993   38  0.6412  0.0229  0.0919  0.4533  0.2225  0.31
Hatto 1997   34  0.6581  0.0030  0.1518  0.4632  0.2321  0.33
Horowitz 1949   58  0.5621  0.0170  0.0371  0.0352  0.0755  0.05
Indjic 1988   32  0.6582  0.0027  0.1116  0.4632  0.2420  0.33
Kapell 1951   21  0.6827  0.0015  0.1011  0.4936  0.1230  0.24
Kissin 1993   19  0.7087  0.0018  0.0921  0.4329  0.2422  0.32
Kushner 1989   33  0.6548  0.0056  0.0456  0.0470  0.0461  0.04
Luisada 1991   25  0.6715  0.0126  0.1223  0.4165  0.0434  0.13
Lushtak 2004   53  0.5883  0.0060  0.0460  0.0467  0.0468  0.04
Malcuzynski 1961   43  0.6116  0.0119  0.0937  0.1817  0.3031  0.23
Magaloff 1978   55  0.5724  0.0152  0.0464  0.0430  0.2345  0.10
Magin 1975   27  0.6662  0.0032  0.0632  0.2645  0.0735  0.13
Michalowski 1933   48  0.5939  0.0059  0.0457  0.0449  0.0657  0.05
Milkina 1970   47  0.5989  0.0062  0.0548  0.0585  0.0362  0.04
Mohovich 1999   56  0.5776  0.0054  0.0545  0.0557  0.0658  0.05
Moravec 1969   28  0.665  0.0611  0.1026  0.371  0.684  0.50
Morozova 2008   51  0.5967  0.0058  0.0451  0.0456  0.0466  0.04
Neighaus 1950   13  0.718  0.0212  0.0917  0.4628  0.3115  0.38
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   54  0.5819  0.0153  0.0452  0.0475  0.0380  0.03
Osinska 1989   15  0.7184  0.0024  0.1022  0.4336  0.2027  0.29
Pachmann 1927   72  0.5155  0.0085  0.0385  0.0385  0.0288  0.02
Paderewski 1930   46  0.6031  0.0057  0.0454  0.0439  0.1352  0.07
Perlemuter 1992   49  0.5940  0.0042  0.0641  0.1360  0.0450  0.07
Pierdomenico 2008   81  0.4049  0.0078  0.0459  0.0456  0.0654  0.05
Poblocka 1999   22  0.6877  0.0036  0.0834  0.2562  0.0538  0.11
Rabcewiczowa 1932   45  0.6054  0.0041  0.0540  0.1456  0.0451  0.07
Rachmaninoff 1923   17  0.707  0.029  0.106  0.5212  0.3710  0.44
Rangell 2001   86  0.2985  0.0083  0.0386  0.0363  0.0386  0.03
Richter 1976   74  0.5044  0.0081  0.0547  0.0550  0.0656  0.05
Rosen 1989   42  0.6252  0.0045  0.0546  0.0567  0.0470  0.04
Rosenthal 1930   57  0.5629  0.0068  0.0383  0.0358  0.0483  0.03
Rosenthal 1931   60  0.5456  0.0046  0.0378  0.0314  0.4440  0.11
Rosenthal 1931b   63  0.5488  0.0067  0.0384  0.0315  0.4442  0.11
Rosenthal 1931c   59  0.5463  0.0069  0.0368  0.0315  0.3843  0.11
Rosenthal 1931d   66  0.5345  0.0071  0.0466  0.0419  0.3737  0.12
Rossi 2007   65  0.5320  0.0163  0.0377  0.0323  0.3144  0.10
Rubinstein 1939   61  0.5453  0.0064  0.0372  0.0361  0.0478  0.03
Rubinstein 1952   85  0.3890  0.0077  0.0462  0.0463  0.0574  0.04
Rubinstein 1966   71  0.5246  0.0076  0.0467  0.0457  0.0565  0.04
Schilhawsky 1960   7  0.754  0.087  0.159  0.5016  0.479  0.48
Shebanova 2002   12  0.7228  0.0016  0.0914  0.4837  0.2024  0.31
Smith 1975   35  0.6443  0.0039  0.0639  0.1537  0.1433  0.14
Sokolov 2002   79  0.4350  0.0066  0.0455  0.0486  0.0275  0.03
Sztompka 1959   14  0.7138  0.0010  0.1010  0.5033  0.2319  0.34
Tomsic 1995   82  0.4065  0.0087  0.0461  0.0464  0.0564  0.04
Uninsky 1932   5  0.762  0.132  0.183  0.612  0.562  0.58
Uninsky 1971   16  0.7068  0.0022  0.0924  0.4035  0.3217  0.36
Wasowski 1980   18  0.7057  0.0021  0.0915  0.4815  0.3212  0.39
Zak 1937   30  0.6551  0.0031  0.0529  0.3162  0.0439  0.11
Zak 1951   36  0.6469  0.0035  0.0631  0.2848  0.0636  0.13
Random 1   88  -0.1870  0.0088  0.0288  0.0246  0.0684  0.03
Random 2   90  -0.2771  0.0089  0.0189  0.0181  0.0289  0.01
Random 3   89  -0.2173  0.0090  0.0190  0.0180  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).