Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6578  0.0011  0.1013  0.5229  0.3916  0.45
Anderszewski 2003   41  0.5237  0.0048  0.0746  0.0764  0.0458  0.05
Ashkenazy 1981   38  0.5327  0.0035  0.0837  0.3334  0.2427  0.28
Bacha 2000   70  0.4374  0.0061  0.0462  0.0459  0.0461  0.04
Badura 1965   30  0.5516  0.0016  0.1038  0.3021  0.4221  0.35
Barbosa 1983   64  0.4513  0.0153  0.0652  0.0649  0.0654  0.06
Biret 1990   43  0.5233  0.0037  0.0935  0.3469  0.0448  0.12
Blet 2003   50  0.5053  0.0063  0.0381  0.0347  0.0759  0.05
Block 1995   54  0.4949  0.0058  0.0466  0.0460  0.0572  0.04
Blumental 1952   49  0.5039  0.0047  0.0647  0.0684  0.0373  0.04
Boshniakovich 1969   14  0.6147  0.0013  0.1110  0.5528  0.4410  0.49
Brailowsky 1960   65  0.4531  0.0074  0.0472  0.0460  0.0562  0.04
Bunin 1987   62  0.4645  0.0056  0.0459  0.0426  0.3947  0.12
Bunin 1987b   66  0.4560  0.0057  0.0651  0.0626  0.3940  0.15
Chiu 1999   63  0.4679  0.0067  0.0463  0.0465  0.0464  0.04
Cohen 1997   88  0.2975  0.0087  0.0385  0.0349  0.0575  0.04
Cortot 1951   33  0.5429  0.0050  0.0460  0.0417  0.4945  0.14
Csalog 1996   78  0.3954  0.0069  0.0471  0.0467  0.0468  0.04
Czerny 1949   7  0.657  0.016  0.236  0.5917  0.547  0.56
Czerny 1990   25  0.5840  0.0026  0.0819  0.4747  0.0736  0.18
Duchoud 2007   81  0.3852  0.0075  0.0465  0.0461  0.0570  0.04
Ezaki 2006   18  0.5936  0.0028  0.0826  0.4333  0.3019  0.36
Falvay 1989   84  0.3581  0.0086  0.0288  0.0283  0.0390  0.02
Farrell 1958   73  0.4176  0.0072  0.0464  0.0474  0.0467  0.04
Ferenczy 1958   40  0.5267  0.0046  0.0648  0.0630  0.3444  0.14
Fliere 1977   10  0.6446  0.0010  0.149  0.5539  0.1824  0.31
Fou 1978   20  0.5934  0.0024  0.0727  0.4238  0.1830  0.27
Francois 1956   72  0.4257  0.0071  0.0478  0.0474  0.0481  0.04
Friedman 1923   35  0.5385  0.0045  0.0944  0.1829  0.3733  0.26
Friedman 1923b   34  0.5486  0.0040  0.0936  0.3326  0.4218  0.37
Friedman 1930   52  0.5090  0.0054  0.0650  0.0635  0.3046  0.13
Garcia 2007   56  0.4891  0.0060  0.0477  0.0454  0.0571  0.04
Garcia 2007b   31  0.5471  0.0034  0.0734  0.3427  0.3522  0.34
Gierzod 1998   15  0.614  0.028  0.198  0.5731  0.3813  0.47
Gornostaeva 1994   47  0.5118  0.0052  0.0554  0.0571  0.0376  0.04
Groot 1988   77  0.3955  0.0078  0.0474  0.0479  0.0479  0.04
Harasiewicz 1955   3  0.666  0.013  0.163  0.6817  0.582  0.63
Hatto 1993   53  0.5082  0.0019  0.1021  0.4642  0.1825  0.29
Hatto 1997   45  0.5125  0.0029  0.0725  0.4539  0.1631  0.27
Horowitz 1949   26  0.5830  0.0036  0.0839  0.2813  0.5117  0.38
Indjic 1988   46  0.5187  0.0030  0.1324  0.4542  0.1726  0.28
Kapell 1951   19  0.5968  0.0020  0.1022  0.4633  0.2423  0.33
Kissin 1993   5  0.6622  0.007  0.175  0.6018  0.583  0.59
Kushner 1989   44  0.5272  0.0049  0.0556  0.0561  0.0557  0.05
Luisada 1991   22  0.5832  0.0033  0.0733  0.3553  0.0642  0.14
Lushtak 2004   67  0.4450  0.0066  0.0469  0.0479  0.0387  0.03
Malcuzynski 1961   28  0.572  0.074  0.1417  0.4812  0.4811  0.48
Magaloff 1978   60  0.4619  0.0059  0.0555  0.0575  0.0465  0.04
Magin 1975   13  0.6226  0.0023  0.0720  0.4736  0.2720  0.36
Michalowski 1933   21  0.5817  0.0015  0.1214  0.516  0.608  0.55
Milkina 1970   23  0.5823  0.0027  0.0828  0.4263  0.0543  0.14
Mohovich 1999   57  0.4769  0.0065  0.0468  0.0475  0.0474  0.04
Moravec 1969   36  0.533  0.0522  0.0945  0.1619  0.4628  0.27
Morozova 2008   12  0.625  0.0218  0.1116  0.4917  0.4414  0.46
Neighaus 1950   39  0.5383  0.0043  0.0842  0.2137  0.1637  0.18
Niedzielski 1931   16  0.6143  0.0012  0.1115  0.494  0.539  0.51
Ohlsson 1999   59  0.4744  0.0041  0.0840  0.2558  0.0549  0.11
Osinska 1989   42  0.5258  0.0044  0.0843  0.1969  0.0451  0.09
Pachmann 1927   82  0.3877  0.0088  0.0475  0.0466  0.0385  0.03
Paderewski 1930   76  0.4088  0.0076  0.0470  0.0474  0.0384  0.03
Perlemuter 1992   51  0.5042  0.0055  0.0553  0.0556  0.0555  0.05
Pierdomenico 2008   87  0.3163  0.0084  0.0386  0.0375  0.0482  0.03
Poblocka 1999   9  0.6515  0.0014  0.1112  0.5430  0.4112  0.47
Rabcewiczowa 1932   27  0.579  0.0131  0.0732  0.3634  0.2129  0.27
Rachmaninoff 1923   29  0.5621  0.0032  0.0930  0.3847  0.0738  0.16
Rangell 2001   75  0.4061  0.0073  0.0379  0.0358  0.0577  0.04
Richter 1976   11  0.6411  0.0117  0.1211  0.5411  0.586  0.56
Rosen 1989   48  0.5080  0.0051  0.0649  0.0667  0.0560  0.05
Rosenthal 1930   69  0.4364  0.0079  0.0380  0.0380  0.0386  0.03
Rosenthal 1931   79  0.3859  0.0080  0.0473  0.0445  0.1352  0.07
Rosenthal 1931b   83  0.3665  0.0082  0.0476  0.0444  0.1253  0.07
Rosenthal 1931c   80  0.3835  0.0081  0.0383  0.0360  0.0489  0.03
Rosenthal 1931d   85  0.3456  0.0083  0.0384  0.0355  0.0578  0.04
Rossi 2007   74  0.4048  0.0077  0.0467  0.0478  0.0463  0.04
Rubinstein 1939   58  0.4712  0.0164  0.0558  0.0553  0.0556  0.05
Rubinstein 1952   68  0.4324  0.0068  0.0461  0.0469  0.0480  0.04
Rubinstein 1966   71  0.4228  0.0070  0.0382  0.0372  0.0569  0.04
Schilhawsky 1960   4  0.6614  0.015  0.167  0.5915  0.555  0.57
Shebanova 2002   24  0.5884  0.0025  0.0823  0.4643  0.1334  0.24
Smith 1975   55  0.4810  0.0162  0.0557  0.0563  0.0466  0.04
Sokolov 2002   61  0.4638  0.0042  0.0741  0.2232  0.2435  0.23
Sztompka 1959   6  0.668  0.019  0.204  0.6118  0.534  0.57
Tomsic 1995   86  0.3373  0.0085  0.0287  0.0271  0.0583  0.03
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.811  0.691  0.681  0.851  0.831  0.84
Wasowski 1980   17  0.6062  0.0021  0.1018  0.4825  0.4215  0.45
Zak 1937   32  0.5489  0.0038  0.0929  0.3959  0.0639  0.15
Zak 1951   37  0.5370  0.0039  0.0931  0.3756  0.0641  0.15
Average   2  0.7120  0.002  0.282  0.7447  0.0932  0.26
Random 1   91  -0.0851  0.0091  0.0191  0.0155  0.0491  0.02
Random 2   89  -0.0141  0.0089  0.0289  0.026  0.4950  0.10
Random 3   90  -0.0866  0.0090  0.0190  0.0144  0.1188  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).