Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.4468  0.0062  0.0563  0.0570  0.0473  0.04
Anderszewski 2003   10  0.588  0.037  0.102  0.6719  0.464  0.56
Ashkenazy 1981   41  0.4842  0.0073  0.0556  0.0579  0.0377  0.04
Bacha 2000   40  0.4852  0.0035  0.0736  0.1921  0.3427  0.25
Badura 1965   45  0.4753  0.0058  0.0558  0.0559  0.0559  0.05
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   28  0.5411  0.0211  0.0817  0.5228  0.2818  0.38
Blet 2003   35  0.4944  0.0054  0.0467  0.0440  0.1448  0.07
Block 1995   44  0.4720  0.0122  0.0825  0.4422  0.3415  0.39
Blumental 1952   25  0.5413  0.0112  0.0920  0.4728  0.2420  0.34
Boshniakovich 1969   57  0.4414  0.0152  0.0560  0.0574  0.0476  0.04
Brailowsky 1960   7  0.596  0.073  0.1614  0.545  0.691  0.61
Bunin 1987   71  0.3741  0.0075  0.0651  0.0665  0.0461  0.05
Bunin 1987b   75  0.3669  0.0076  0.0646  0.0669  0.0453  0.05
Chiu 1999   5  0.6112  0.029  0.117  0.583  0.525  0.55
Cohen 1997   48  0.4677  0.0065  0.0479  0.0419  0.3341  0.11
Cortot 1951   62  0.4317  0.0159  0.0552  0.0565  0.0480  0.04
Csalog 1996   72  0.3671  0.0041  0.0642  0.1232  0.2237  0.16
Czerny 1949   33  0.509  0.0338  0.0544  0.1159  0.0549  0.07
Czerny 1990   8  0.5819  0.0113  0.095  0.6035  0.2319  0.37
Duchoud 2007   77  0.3284  0.0080  0.0473  0.0465  0.0574  0.04
Ezaki 2006   1  0.672  0.152  0.203  0.6516  0.553  0.60
Falvay 1989   20  0.5521  0.0124  0.0730  0.3925  0.4113  0.40
Farrell 1958   12  0.5732  0.0020  0.0923  0.4533  0.3314  0.39
Ferenczy 1958   37  0.4946  0.0045  0.0554  0.0519  0.4138  0.14
Fliere 1977   18  0.5526  0.0018  0.0915  0.5359  0.0536  0.16
Fou 1978   22  0.5522  0.0127  0.1029  0.4042  0.1431  0.24
Francois 1956   67  0.3967  0.0071  0.0553  0.0576  0.0381  0.04
Friedman 1923   51  0.4638  0.0066  0.0476  0.0445  0.0763  0.05
Friedman 1923b   52  0.4560  0.0067  0.0474  0.0468  0.0478  0.04
Friedman 1930   55  0.4464  0.0063  0.0472  0.0447  0.0656  0.05
Garcia 2007   74  0.3674  0.0074  0.0468  0.0478  0.0475  0.04
Garcia 2007b   70  0.3757  0.0061  0.0647  0.0678  0.0382  0.04
Gierzod 1998   27  0.547  0.0316  0.0822  0.4653  0.0634  0.17
Gornostaeva 1994   42  0.4861  0.0034  0.0733  0.2639  0.1532  0.20
Groot 1988   32  0.5150  0.0026  0.0926  0.4326  0.2621  0.33
Harasiewicz 1955   6  0.6018  0.0117  0.096  0.5950  0.0535  0.17
Hatto 1993   16  0.5555  0.0046  0.0650  0.0672  0.0462  0.05
Hatto 1997   17  0.5578  0.0047  0.0745  0.0770  0.0457  0.05
Horowitz 1949   76  0.3380  0.0078  0.0478  0.0461  0.0654  0.05
Indjic 1988   21  0.5585  0.0048  0.0649  0.0662  0.0455  0.05
Kapell 1951   34  0.5010  0.0310  0.118  0.5822  0.3510  0.45
Kissin 1993   46  0.4724  0.0056  0.0466  0.0474  0.0470  0.04
Kushner 1989   23  0.5528  0.0023  0.0821  0.4742  0.1328  0.25
Luisada 1991   3  0.6315  0.018  0.104  0.6426  0.329  0.45
Lushtak 2004   4  0.623  0.114  0.1512  0.5523  0.418  0.47
Malcuzynski 1961   78  0.3237  0.0064  0.0564  0.0571  0.0467  0.04
Magaloff 1978   30  0.5335  0.0031  0.1031  0.3324  0.3122  0.32
Magin 1975   56  0.4451  0.0044  0.0640  0.1354  0.0545  0.08
Michalowski 1933   87  0.1881  0.0085  0.0288  0.0284  0.0388  0.02
Milkina 1970   31  0.524  0.116  0.1110  0.5734  0.3212  0.43
Mohovich 1999   13  0.5765  0.0015  0.1116  0.5230  0.3811  0.44
Moravec 1969   43  0.4727  0.0039  0.0535  0.2027  0.3325  0.26
Morozova 2008   29  0.5470  0.0033  0.0834  0.2543  0.1233  0.17
Neighaus 1950   66  0.4062  0.0069  0.0477  0.0455  0.0579  0.04
Niedzielski 1931   65  0.4029  0.0057  0.0562  0.0556  0.0552  0.05
Ohlsson 1999   50  0.4645  0.0051  0.0555  0.0580  0.0469  0.04
Osinska 1989   19  0.5547  0.0019  0.1111  0.5743  0.1424  0.28
Pachmann 1927   79  0.2788  0.0082  0.0383  0.0370  0.0385  0.03
Paderewski 1930   83  0.2275  0.0079  0.0480  0.0471  0.0384  0.03
Perlemuter 1992   54  0.4486  0.0060  0.0470  0.0461  0.0464  0.04
Pierdomenico 2008   81  0.2456  0.0077  0.0475  0.0479  0.0383  0.03
Poblocka 1999   47  0.4736  0.0043  0.0541  0.1273  0.0446  0.07
Rabcewiczowa 1932   63  0.4239  0.0021  0.0828  0.4132  0.2123  0.29
Rachmaninoff 1923   49  0.4658  0.0053  0.0469  0.0468  0.0466  0.04
Rangell 2001   73  0.3666  0.0055  0.0465  0.0431  0.3142  0.11
Richter 1976   69  0.3843  0.0068  0.0471  0.0460  0.0568  0.04
Rosen 1989   36  0.4976  0.0032  0.0832  0.3258  0.0539  0.13
Rosenthal 1930   80  0.2672  0.0081  0.0384  0.0384  0.0289  0.02
Rosenthal 1931   82  0.2289  0.0084  0.0381  0.0354  0.0671  0.04
Rosenthal 1931b   85  0.2082  0.0086  0.0287  0.0266  0.0487  0.03
Rosenthal 1931c   84  0.2273  0.0083  0.0285  0.0270  0.0390  0.02
Rosenthal 1931d   86  0.1990  0.0087  0.0382  0.0367  0.0486  0.03
Rossi 2007   68  0.3948  0.0072  0.0561  0.0549  0.0651  0.05
Rubinstein 1939   11  0.5763  0.0028  0.0827  0.4125  0.3517  0.38
Rubinstein 1952   24  0.5533  0.0014  0.1013  0.5421  0.456  0.49
Rubinstein 1966   2  0.641  0.161  0.151  0.7112  0.532  0.61
Schilhawsky 1960   64  0.4154  0.0070  0.0557  0.0573  0.0472  0.04
Shebanova 2002   38  0.4949  0.0036  0.0537  0.1861  0.0544  0.09
Smith 1975   26  0.5423  0.0025  0.0824  0.4422  0.3216  0.38
Sokolov 2002   61  0.4334  0.0050  0.0559  0.0558  0.0465  0.04
Sztompka 1959   39  0.4883  0.0037  0.0643  0.1267  0.0447  0.07
Tomsic 1995   59  0.4379  0.0040  0.0738  0.1832  0.3430  0.25
Uninsky 1932   53  0.4530  0.0049  0.0648  0.0651  0.0650  0.06
Uninsky 1971   60  0.4325  0.0042  0.0639  0.1554  0.0643  0.09
Wasowski 1980   9  0.585  0.105  0.179  0.5827  0.397  0.48
Zak 1937   14  0.5516  0.0130  0.1719  0.4742  0.1329  0.25
Zak 1951   15  0.5531  0.0029  0.1218  0.4938  0.1426  0.26
Random 1   90  -0.0187  0.0089  0.0189  0.0122  0.2760  0.05
Random 2   88  0.0040  0.0090  0.0190  0.0126  0.2558  0.05
Random 3   89  -0.0159  0.0088  0.0286  0.021  0.6240  0.11

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).