Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.4629  0.0052  0.0562  0.0517  0.4344  0.15
Anderszewski 2003   29  0.4924  0.0022  0.1622  0.5035  0.3223  0.40
Ashkenazy 1981   71  0.3646  0.0079  0.0473  0.0465  0.0388  0.03
Bacha 2000   61  0.3923  0.0037  0.0742  0.178  0.5133  0.29
Badura 1965   58  0.4039  0.0059  0.0650  0.0629  0.2748  0.13
Barbosa 1983   8  0.565  0.043  0.194  0.7215  0.603  0.66
Biret 1990   28  0.4947  0.0020  0.1121  0.5035  0.2926  0.38
Blet 2003   72  0.3669  0.0076  0.0469  0.0467  0.0385  0.03
Block 1995   53  0.429  0.0148  0.0649  0.0636  0.2351  0.12
Blumental 1952   10  0.5440  0.0010  0.1712  0.5917  0.579  0.58
Boshniakovich 1969   32  0.4819  0.0016  0.1217  0.5230  0.2825  0.38
Brailowsky 1960   31  0.4955  0.0032  0.0935  0.3524  0.4821  0.41
Bunin 1987   65  0.3783  0.0066  0.0655  0.0663  0.0469  0.05
Bunin 1987b   69  0.3760  0.0055  0.0652  0.0653  0.0664  0.06
Chiu 1999   56  0.4152  0.0046  0.0656  0.0620  0.3545  0.14
Cohen 1997   55  0.4171  0.0058  0.0747  0.079  0.4640  0.18
Cortot 1951   63  0.3884  0.0060  0.0746  0.0713  0.5538  0.20
Csalog 1996   68  0.3717  0.0172  0.0474  0.0471  0.0475  0.04
Czerny 1949   15  0.5427  0.0023  0.1119  0.5228  0.5116  0.51
Czerny 1990   2  0.627  0.022  0.282  0.839  0.761  0.79
Duchoud 2007   87  0.2264  0.0086  0.0385  0.0368  0.0487  0.03
Ezaki 2006   20  0.5287  0.0031  0.0733  0.3548  0.0742  0.16
Falvay 1989   26  0.5079  0.0033  0.0827  0.3850  0.0546  0.14
Farrell 1958   52  0.4331  0.0041  0.0838  0.2727  0.4029  0.33
Ferenczy 1958   39  0.4638  0.0051  0.0748  0.0725  0.4439  0.18
Fliere 1977   7  0.5621  0.0012  0.1513  0.5935  0.3118  0.43
Fou 1978   34  0.4844  0.0030  0.0730  0.3732  0.2532  0.30
Francois 1956   70  0.3742  0.0070  0.0563  0.0547  0.0672  0.05
Friedman 1923   77  0.3076  0.0077  0.0479  0.0462  0.0581  0.04
Friedman 1923b   78  0.3077  0.0075  0.0471  0.0449  0.0670  0.05
Friedman 1930   82  0.2658  0.0080  0.0380  0.0367  0.0486  0.03
Garcia 2007   81  0.2649  0.0081  0.0381  0.0355  0.0576  0.04
Garcia 2007b   62  0.3959  0.0047  0.0653  0.0644  0.1162  0.08
Gierzod 1998   3  0.6113  0.014  0.233  0.7618  0.524  0.63
Gornostaeva 1994   51  0.4322  0.0064  0.0567  0.0560  0.0478  0.04
Groot 1988   25  0.5043  0.0011  0.1116  0.5312  0.5017  0.51
Harasiewicz 1955   5  0.576  0.039  0.166  0.6628  0.4911  0.57
Hatto 1993   18  0.533  0.056  0.328  0.6312  0.558  0.59
Hatto 1997   17  0.5341  0.008  0.2810  0.6214  0.5210  0.57
Horowitz 1949   76  0.3275  0.0078  0.0476  0.0437  0.1861  0.08
Indjic 1988   14  0.548  0.027  0.307  0.6313  0.557  0.59
Kapell 1951   23  0.5132  0.0036  0.0737  0.3039  0.2035  0.24
Kissin 1993   19  0.5234  0.0018  0.1020  0.5119  0.5414  0.52
Kushner 1989   36  0.4880  0.0029  0.0734  0.3556  0.0547  0.13
Luisada 1991   48  0.4536  0.0057  0.0557  0.0533  0.2552  0.11
Lushtak 2004   43  0.4518  0.0042  0.0740  0.2648  0.0650  0.12
Malcuzynski 1961   33  0.4826  0.0034  0.0928  0.3853  0.0643  0.15
Magaloff 1978   16  0.5310  0.0121  0.1215  0.549  0.5712  0.55
Magin 1975   60  0.4033  0.0065  0.0472  0.0464  0.0474  0.04
Michalowski 1933   88  0.1888  0.0088  0.0382  0.0351  0.0483  0.03
Milkina 1970   4  0.592  0.095  0.275  0.7019  0.506  0.59
Mohovich 1999   35  0.4820  0.0039  0.0739  0.2748  0.0649  0.13
Moravec 1969   24  0.5030  0.0025  0.1024  0.4426  0.3820  0.41
Morozova 2008   50  0.4365  0.0053  0.0565  0.0547  0.0866  0.06
Neighaus 1950   59  0.4054  0.0067  0.0478  0.0427  0.3256  0.11
Niedzielski 1931   75  0.3470  0.0061  0.0560  0.0531  0.2453  0.11
Ohlsson 1999   46  0.4572  0.0028  0.0729  0.3719  0.4422  0.40
Osinska 1989   11  0.5435  0.0019  0.1114  0.5442  0.2028  0.33
Pachmann 1927   85  0.2368  0.0087  0.0383  0.0369  0.0382  0.03
Paderewski 1930   84  0.2450  0.0069  0.0475  0.0426  0.3154  0.11
Perlemuter 1992   66  0.3756  0.0074  0.0564  0.0543  0.1360  0.08
Pierdomenico 2008   74  0.3578  0.0062  0.0468  0.0463  0.0473  0.04
Poblocka 1999   22  0.5111  0.0127  0.0731  0.3644  0.1436  0.22
Rabcewiczowa 1932   54  0.4162  0.0045  0.0844  0.1659  0.0559  0.09
Rachmaninoff 1923   41  0.4612  0.0126  0.0826  0.4022  0.4419  0.42
Rangell 2001   57  0.4189  0.0068  0.0561  0.0563  0.0671  0.05
Richter 1976   9  0.554  0.0414  0.1223  0.4814  0.6013  0.54
Rosen 1989   27  0.5085  0.0040  0.0736  0.3124  0.3631  0.33
Rosenthal 1930   73  0.3690  0.0071  0.0477  0.0436  0.2855  0.11
Rosenthal 1931   80  0.2674  0.0084  0.0387  0.0359  0.0484  0.03
Rosenthal 1931b   83  0.2581  0.0083  0.0386  0.0352  0.0579  0.04
Rosenthal 1931c   79  0.3086  0.0082  0.0384  0.0364  0.0580  0.04
Rosenthal 1931d   86  0.2391  0.0085  0.0288  0.0265  0.0489  0.03
Rossi 2007   67  0.3745  0.0073  0.0470  0.0443  0.1163  0.07
Rubinstein 1939   47  0.4557  0.0054  0.0558  0.0548  0.0568  0.05
Rubinstein 1952   21  0.5216  0.0124  0.0925  0.4341  0.1934  0.29
Rubinstein 1966   12  0.5482  0.0017  0.1118  0.5239  0.2727  0.37
Schilhawsky 1960   30  0.4937  0.0038  0.0841  0.2525  0.4430  0.33
Shebanova 2002   38  0.4761  0.0043  0.0743  0.1632  0.2737  0.21
Smith 1975   44  0.4525  0.0056  0.0559  0.0545  0.1658  0.09
Sokolov 2002   64  0.3828  0.0063  0.0566  0.0550  0.0667  0.05
Sztompka 1959   13  0.5415  0.0115  0.1111  0.5911  0.635  0.61
Tomsic 1995   45  0.4551  0.0050  0.0654  0.0639  0.1857  0.10
Uninsky 1932   6  0.5614  0.0113  0.129  0.623  0.742  0.68
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   37  0.4848  0.0035  0.0832  0.3627  0.4024  0.38
Zak 1937   40  0.4666  0.0044  0.0745  0.1540  0.1941  0.17
Zak 1951   49  0.4367  0.0049  0.0651  0.0646  0.0665  0.06
Average   1  0.681  0.561  0.551  0.8636  0.3115  0.52
Random 1   90  -0.0653  0.0091  0.0191  0.0148  0.0491  0.02
Random 2   89  0.0073  0.0090  0.0189  0.0146  0.0590  0.02
Random 3   91  -0.0863  0.0089  0.0190  0.0141  0.1477  0.04

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).