Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.2165  0.0071  0.0469  0.0470  0.0473  0.04
Anderszewski 2003   54  0.2836  0.0045  0.0655  0.0621  0.4545  0.16
Ashkenazy 1981   2  0.581  0.421  0.421  0.8211  0.792  0.80
Bacha 2000   71  0.2047  0.0069  0.0476  0.0441  0.1358  0.07
Badura 1965   66  0.2224  0.0059  0.0568  0.0536  0.2554  0.11
Barbosa 1983   34  0.3739  0.0048  0.0751  0.0733  0.2748  0.14
Biret 1990   82  0.0654  0.0083  0.0383  0.0370  0.0484  0.03
Blet 2003   26  0.4143  0.0026  0.0927  0.3429  0.4426  0.39
Block 1995   35  0.3741  0.0040  0.0740  0.1839  0.1842  0.18
Blumental 1952   49  0.3257  0.0032  0.0739  0.1823  0.4534  0.28
Boshniakovich 1969   31  0.3760  0.0033  0.0635  0.2337  0.2538  0.24
Brailowsky 1960   72  0.1929  0.0075  0.0750  0.0757  0.0662  0.06
Bunin 1987   38  0.3642  0.0036  0.0532  0.2532  0.3330  0.29
Bunin 1987b   37  0.3661  0.0037  0.0833  0.2532  0.3232  0.28
Chiu 1999   14  0.456  0.028  0.135  0.6619  0.619  0.63
Cohen 1997   73  0.1740  0.0079  0.0564  0.0583  0.0283  0.03
Cortot 1951   78  0.1362  0.0078  0.0472  0.0467  0.0477  0.04
Csalog 1996   47  0.3268  0.0050  0.0658  0.0627  0.3947  0.15
Czerny 1949   89  -0.0148  0.0086  0.0286  0.0261  0.0580  0.03
Czerny 1990   20  0.4320  0.005  0.159  0.6316  0.736  0.68
Duchoud 2007   43  0.3416  0.0035  0.0636  0.2234  0.2637  0.24
Ezaki 2006   85  0.0486  0.0084  0.0384  0.0388  0.0285  0.02
Falvay 1989   64  0.2363  0.0063  0.0566  0.0554  0.0565  0.05
Farrell 1958   61  0.2676  0.0066  0.0561  0.0552  0.0667  0.05
Ferenczy 1958   88  -0.0174  0.0088  0.0288  0.0282  0.0386  0.02
Fliere 1977   5  0.4913  0.017  0.188  0.6524  0.618  0.63
Fou 1978   33  0.3772  0.0044  0.0644  0.1242  0.1552  0.13
Francois 1956   79  0.1137  0.0082  0.0382  0.0387  0.0288  0.02
Friedman 1923   12  0.4619  0.0011  0.1315  0.5420  0.5615  0.55
Friedman 1923b   11  0.4644  0.0013  0.2016  0.5321  0.5814  0.55
Friedman 1930   30  0.3985  0.0023  0.1020  0.4630  0.5220  0.49
Garcia 2007   42  0.3526  0.0020  0.1525  0.3921  0.4423  0.41
Garcia 2007b   53  0.3056  0.0051  0.0652  0.0635  0.3150  0.14
Gierzod 1998   60  0.2652  0.0054  0.0747  0.0730  0.3746  0.16
Gornostaeva 1994   77  0.1469  0.0080  0.0378  0.0384  0.0287  0.02
Groot 1988   19  0.4327  0.0027  0.1024  0.3942  0.1539  0.24
Harasiewicz 1955   36  0.3634  0.0041  0.0841  0.1765  0.0557  0.09
Hatto 1993   9  0.487  0.029  0.167  0.6516  0.5312  0.59
Hatto 1997   58  0.2680  0.0057  0.0745  0.0747  0.0760  0.07
Horowitz 1949   6  0.4923  0.0015  0.1710  0.626  0.745  0.68
Indjic 1988   7  0.489  0.0110  0.236  0.6513  0.637  0.64
Kapell 1951   17  0.4421  0.0019  0.1219  0.4813  0.4722  0.47
Kissin 1993   15  0.4575  0.0017  0.1614  0.5617  0.6311  0.59
Kushner 1989   29  0.4018  0.0021  0.0921  0.4619  0.4921  0.47
Luisada 1991   25  0.4225  0.0018  0.1017  0.4925  0.5118  0.50
Lushtak 2004   65  0.2281  0.0074  0.0560  0.0569  0.0568  0.05
Malcuzynski 1961   24  0.4222  0.0022  0.1018  0.4818  0.5019  0.49
Magaloff 1978   22  0.4310  0.0138  0.0637  0.2137  0.2836  0.24
Magin 1975   4  0.5031  0.006  0.204  0.706  0.823  0.76
Michalowski 1933   21  0.4366  0.0028  0.0926  0.3624  0.4225  0.39
Milkina 1970   74  0.1777  0.0067  0.0381  0.0359  0.0571  0.04
Mohovich 1999   50  0.3167  0.0052  0.0654  0.0644  0.1556  0.09
Moravec 1969   41  0.3517  0.0043  0.0643  0.1429  0.2840  0.20
Morozova 2008   32  0.3730  0.0025  0.0928  0.3232  0.2533  0.28
Neighaus 1950   48  0.3251  0.0053  0.0746  0.0761  0.0563  0.06
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   16  0.4412  0.0112  0.1323  0.4422  0.3724  0.40
Osinska 1989   67  0.228  0.0155  0.0659  0.0648  0.0761  0.06
Pachmann 1927   13  0.455  0.0216  0.1913  0.5716  0.6410  0.60
Paderewski 1930   18  0.4445  0.0024  0.1422  0.4517  0.6116  0.52
Perlemuter 1992   27  0.4153  0.0039  0.0638  0.2133  0.4529  0.31
Pierdomenico 2008   52  0.3055  0.0061  0.0474  0.0448  0.0666  0.05
Poblocka 1999   56  0.2749  0.0062  0.0471  0.0464  0.0570  0.04
Rabcewiczowa 1932   80  0.1087  0.0081  0.0379  0.0373  0.0378  0.03
Rachmaninoff 1923   28  0.4032  0.0034  0.0631  0.2524  0.4627  0.34
Rangell 2001   55  0.2878  0.0060  0.0562  0.0570  0.0476  0.04
Richter 1976   1  0.592  0.282  0.472  0.794  0.831  0.81
Rosen 1989   51  0.3190  0.0058  0.0656  0.0680  0.0375  0.04
Rosenthal 1930   62  0.2688  0.0064  0.0377  0.0347  0.0674  0.04
Rosenthal 1931   76  0.1528  0.0065  0.0567  0.0534  0.4049  0.14
Rosenthal 1931b   75  0.1646  0.0070  0.0473  0.0438  0.3453  0.12
Rosenthal 1931c   57  0.2650  0.0046  0.0749  0.0727  0.4643  0.18
Rosenthal 1931d   81  0.0911  0.0176  0.0565  0.0551  0.0569  0.05
Rossi 2007   84  0.0464  0.0077  0.0475  0.0440  0.1259  0.07
Rubinstein 1939   46  0.3370  0.0049  0.0748  0.0726  0.2651  0.13
Rubinstein 1952   39  0.3638  0.0030  0.0730  0.2624  0.4228  0.33
Rubinstein 1966   45  0.3433  0.0029  0.0729  0.2735  0.1541  0.20
Schilhawsky 1960   63  0.2414  0.0168  0.0380  0.0332  0.2955  0.09
Shebanova 2002   3  0.554  0.043  0.293  0.7315  0.674  0.70
Smith 1975   83  0.0582  0.0087  0.0287  0.0289  0.0189  0.01
Sokolov 2002   59  0.2671  0.0056  0.0653  0.0654  0.0464  0.05
Sztompka 1959   10  0.483  0.044  0.1412  0.5713  0.5713  0.57
Tomsic 1995   69  0.2189  0.0073  0.0563  0.0579  0.0372  0.04
Uninsky 1932   8  0.4815  0.0114  0.1411  0.6222  0.4417  0.52
Uninsky 1971   70  0.2173  0.0072  0.0470  0.0477  0.0379  0.03
Wasowski 1980   23  0.4235  0.0031  0.0634  0.2439  0.2435  0.24
Zak 1937   40  0.3558  0.0042  0.0642  0.1722  0.4631  0.28
Zak 1951   44  0.3479  0.0047  0.0657  0.0624  0.4244  0.16
Random 1   90  -0.0783  0.0090  0.0190  0.0181  0.0290  0.01
Random 2   86  0.0159  0.0085  0.0285  0.0255  0.0581  0.03
Random 3   87  -0.0184  0.0089  0.0189  0.0144  0.0782  0.03

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).