Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.4630  0.0051  0.0561  0.0516  0.4343  0.15
Anderszewski 2003   28  0.4925  0.0021  0.1721  0.5034  0.3222  0.40
Ashkenazy 1981   70  0.3646  0.0078  0.0472  0.0464  0.0388  0.03
Bacha 2000   60  0.3923  0.0036  0.0741  0.177  0.5132  0.29
Badura 1965   57  0.4042  0.0058  0.0649  0.0628  0.2747  0.13
Barbosa 1983   7  0.562  0.122  0.203  0.7214  0.603  0.66
Biret 1990   27  0.4947  0.0019  0.1120  0.5034  0.2925  0.38
Blet 2003   71  0.3668  0.0075  0.0468  0.0466  0.0477  0.04
Block 1995   52  0.4213  0.0147  0.0748  0.0735  0.2348  0.13
Blumental 1952   9  0.5419  0.009  0.1811  0.5916  0.579  0.58
Boshniakovich 1969   31  0.4818  0.0015  0.1216  0.5229  0.2824  0.38
Brailowsky 1960   30  0.4955  0.0031  0.0934  0.3523  0.4820  0.41
Bunin 1987   64  0.3783  0.0065  0.0654  0.0662  0.0468  0.05
Bunin 1987b   68  0.3758  0.0054  0.0651  0.0652  0.0664  0.06
Chiu 1999   55  0.4152  0.0045  0.0655  0.0619  0.3544  0.14
Cohen 1997   54  0.4170  0.0057  0.0746  0.078  0.4639  0.18
Cortot 1951   62  0.3884  0.0059  0.0745  0.0712  0.5537  0.20
Csalog 1996   67  0.3716  0.0171  0.0473  0.0470  0.0476  0.04
Czerny 1949   14  0.5424  0.0022  0.1118  0.5227  0.5115  0.51
Czerny 1990   1  0.621  0.281  0.281  0.838  0.761  0.79
Duchoud 2007   86  0.2263  0.0085  0.0384  0.0367  0.0486  0.03
Ezaki 2006   19  0.5276  0.0030  0.0732  0.3547  0.0741  0.16
Falvay 1989   25  0.5074  0.0032  0.0926  0.3849  0.0545  0.14
Farrell 1958   51  0.4331  0.0040  0.0837  0.2726  0.4028  0.33
Ferenczy 1958   38  0.4641  0.0050  0.0747  0.0724  0.4438  0.18
Fliere 1977   6  0.5620  0.0011  0.1512  0.5934  0.3117  0.43
Fou 1978   33  0.4844  0.0029  0.0729  0.3731  0.2531  0.30
Francois 1956   69  0.3743  0.0069  0.0562  0.0546  0.0672  0.05
Friedman 1923   76  0.3077  0.0076  0.0478  0.0461  0.0581  0.04
Friedman 1923b   77  0.3078  0.0074  0.0470  0.0448  0.0669  0.05
Friedman 1930   81  0.2659  0.0079  0.0379  0.0366  0.0484  0.03
Garcia 2007   80  0.2649  0.0080  0.0380  0.0354  0.0578  0.04
Garcia 2007b   61  0.3960  0.0046  0.0652  0.0643  0.1161  0.08
Gierzod 1998   2  0.615  0.063  0.232  0.7617  0.524  0.63
Gornostaeva 1994   50  0.4322  0.0063  0.0566  0.0559  0.0570  0.05
Groot 1988   24  0.5034  0.0010  0.1115  0.5311  0.5016  0.51
Harasiewicz 1955   4  0.578  0.038  0.165  0.6627  0.4911  0.57
Hatto 1993   17  0.533  0.125  0.327  0.6311  0.558  0.59
Hatto 1997   16  0.5332  0.007  0.299  0.6213  0.5210  0.57
Horowitz 1949   75  0.3275  0.0077  0.0475  0.0436  0.1860  0.08
Indjic 1988   13  0.547  0.046  0.316  0.6312  0.557  0.59
Kapell 1951   22  0.5133  0.0035  0.0736  0.3038  0.2034  0.24
Kissin 1993   18  0.5238  0.0017  0.1019  0.5118  0.5414  0.52
Kushner 1989   35  0.4880  0.0028  0.0733  0.3555  0.0546  0.13
Luisada 1991   47  0.4539  0.0056  0.0556  0.0532  0.2551  0.11
Lushtak 2004   42  0.4517  0.0041  0.0739  0.2647  0.0650  0.12
Malcuzynski 1961   32  0.4827  0.0033  0.0927  0.3852  0.0642  0.15
Magaloff 1978   15  0.5312  0.0120  0.1314  0.548  0.5712  0.55
Magin 1975   59  0.4037  0.0064  0.0471  0.0463  0.0474  0.04
Michalowski 1933   87  0.1887  0.0087  0.0381  0.0350  0.0483  0.03
Milkina 1970   3  0.594  0.124  0.274  0.7018  0.506  0.59
Mohovich 1999   34  0.4821  0.0038  0.0738  0.2747  0.0649  0.13
Moravec 1969   23  0.5028  0.0024  0.1023  0.4425  0.3819  0.41
Morozova 2008   49  0.4364  0.0052  0.0564  0.0546  0.0963  0.07
Neighaus 1950   58  0.4054  0.0066  0.0477  0.0426  0.3255  0.11
Niedzielski 1931   74  0.3469  0.0060  0.0559  0.0530  0.2452  0.11
Ohlsson 1999   45  0.4571  0.0027  0.0728  0.3718  0.4421  0.40
Osinska 1989   10  0.5435  0.0018  0.1113  0.5441  0.2027  0.33
Pachmann 1927   84  0.2367  0.0086  0.0382  0.0368  0.0382  0.03
Paderewski 1930   83  0.2450  0.0068  0.0474  0.0425  0.3153  0.11
Perlemuter 1992   65  0.3756  0.0073  0.0563  0.0542  0.1359  0.08
Pierdomenico 2008   73  0.3579  0.0061  0.0467  0.0462  0.0473  0.04
Poblocka 1999   21  0.5111  0.0226  0.0730  0.3643  0.1435  0.22
Rabcewiczowa 1932   53  0.4136  0.0044  0.0843  0.1658  0.0558  0.09
Rachmaninoff 1923   40  0.469  0.0325  0.0825  0.4021  0.4418  0.42
Rangell 2001   56  0.4188  0.0067  0.0560  0.0562  0.0671  0.05
Richter 1976   8  0.556  0.0513  0.1222  0.4813  0.6013  0.54
Rosen 1989   26  0.5085  0.0039  0.0735  0.3123  0.3630  0.33
Rosenthal 1930   72  0.3689  0.0070  0.0476  0.0435  0.2854  0.11
Rosenthal 1931   79  0.2673  0.0083  0.0386  0.0358  0.0575  0.04
Rosenthal 1931b   82  0.2581  0.0082  0.0385  0.0351  0.0579  0.04
Rosenthal 1931c   78  0.3086  0.0081  0.0383  0.0363  0.0580  0.04
Rosenthal 1931d   85  0.2390  0.0084  0.0287  0.0264  0.0489  0.03
Rossi 2007   66  0.3745  0.0072  0.0469  0.0442  0.1162  0.07
Rubinstein 1939   46  0.4557  0.0053  0.0557  0.0547  0.0667  0.05
Rubinstein 1952   20  0.5215  0.0123  0.0924  0.4340  0.1933  0.29
Rubinstein 1966   11  0.5482  0.0016  0.1117  0.5238  0.2726  0.37
Schilhawsky 1960   29  0.4940  0.0037  0.0840  0.2524  0.4429  0.33
Shebanova 2002   37  0.4761  0.0042  0.0742  0.1631  0.2736  0.21
Smith 1975   43  0.4526  0.0055  0.0558  0.0544  0.1657  0.09
Sokolov 2002   63  0.3829  0.0062  0.0565  0.0549  0.0666  0.05
Sztompka 1959   12  0.5414  0.0114  0.1110  0.5910  0.635  0.61
Tomsic 1995   44  0.4551  0.0049  0.0653  0.0638  0.1856  0.10
Uninsky 1932   5  0.5610  0.0212  0.128  0.622  0.742  0.68
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   36  0.4848  0.0034  0.0931  0.3626  0.4023  0.38
Zak 1937   39  0.4665  0.0043  0.0744  0.1539  0.1940  0.17
Zak 1951   48  0.4366  0.0048  0.0650  0.0645  0.0765  0.06
Random 1   89  -0.0653  0.0090  0.0190  0.0148  0.0490  0.02
Random 2   88  0.0072  0.0089  0.0288  0.0245  0.0585  0.03
Random 3   90  -0.0862  0.0088  0.0189  0.0141  0.1287  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).