Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.607  0.035  0.189  0.5415  0.4310  0.48
Anderszewski 2003   71  0.2986  0.0063  0.0474  0.0471  0.0380  0.03
Ashkenazy 1981   54  0.3987  0.0043  0.0742  0.1579  0.0355  0.07
Bacha 2000   57  0.3951  0.0047  0.0472  0.0415  0.4738  0.14
Badura 1965   53  0.4074  0.0057  0.0457  0.0443  0.1254  0.07
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   32  0.4653  0.0035  0.1124  0.4225  0.3915  0.40
Blet 2003   2  0.622  0.082  0.222  0.642  0.671  0.65
Block 1995   76  0.278  0.0270  0.0467  0.0477  0.0383  0.03
Blumental 1952   74  0.2891  0.0076  0.0461  0.0466  0.0470  0.04
Boshniakovich 1969   47  0.4146  0.0049  0.0556  0.0533  0.2741  0.12
Brailowsky 1960   65  0.3665  0.0075  0.0548  0.0559  0.0465  0.04
Bunin 1987   16  0.5329  0.0130  0.0715  0.4726  0.3319  0.39
Bunin 1987b   15  0.5314  0.0131  0.1314  0.4726  0.3217  0.39
Chiu 1999   4  0.593  0.083  0.153  0.635  0.662  0.64
Cohen 1997   78  0.2671  0.0071  0.0468  0.0437  0.1552  0.08
Cortot 1951   69  0.3169  0.0065  0.0464  0.0457  0.0571  0.04
Csalog 1996   38  0.4415  0.0127  0.0632  0.3522  0.4121  0.38
Czerny 1949   55  0.3967  0.0068  0.0547  0.0549  0.0662  0.05
Czerny 1990   30  0.4835  0.0041  0.0840  0.2350  0.0642  0.12
Duchoud 2007   20  0.5227  0.0123  0.0716  0.4724  0.4312  0.45
Ezaki 2006   21  0.5279  0.0036  0.1326  0.4037  0.1434  0.24
Falvay 1989   31  0.4764  0.0042  0.0941  0.2251  0.0546  0.10
Farrell 1958   64  0.3852  0.0060  0.0554  0.0557  0.0467  0.04
Ferenczy 1958   49  0.4176  0.0046  0.0463  0.0425  0.3045  0.11
Fliere 1977   14  0.5340  0.0014  0.0818  0.4528  0.2526  0.34
Fou 1978   35  0.4511  0.0212  0.0927  0.4036  0.2329  0.30
Francois 1956   11  0.5424  0.0125  0.0821  0.4328  0.2727  0.34
Friedman 1923   88  0.1636  0.0083  0.0383  0.0367  0.0485  0.03
Friedman 1923b   86  0.1780  0.0082  0.0382  0.0376  0.0484  0.03
Friedman 1930   79  0.2557  0.0069  0.0555  0.0555  0.0561  0.05
Garcia 2007   73  0.2832  0.0072  0.0550  0.0525  0.3340  0.13
Garcia 2007b   83  0.2155  0.0080  0.0460  0.0441  0.1456  0.07
Gierzod 1998   60  0.3888  0.0067  0.0462  0.0478  0.0381  0.03
Gornostaeva 1994   37  0.4472  0.0045  0.0644  0.1170  0.0359  0.06
Groot 1988   8  0.5623  0.0113  0.084  0.6117  0.427  0.51
Harasiewicz 1955   33  0.4633  0.0021  0.0739  0.2460  0.0448  0.10
Hatto 1993   66  0.3621  0.0110  0.1233  0.3320  0.3228  0.32
Hatto 1997   59  0.3825  0.019  0.0929  0.3820  0.3722  0.37
Horowitz 1949   62  0.3838  0.0058  0.0379  0.0357  0.0478  0.03
Indjic 1988   61  0.384  0.068  0.1030  0.3815  0.3820  0.38
Kapell 1951   18  0.5247  0.0034  0.1120  0.4435  0.2923  0.36
Kissin 1993   40  0.4368  0.0052  0.0551  0.0546  0.0758  0.06
Kushner 1989   44  0.4289  0.0066  0.0466  0.0475  0.0377  0.03
Luisada 1991   34  0.4613  0.0122  0.1136  0.2741  0.1437  0.19
Lushtak 2004   5  0.599  0.024  0.185  0.5811  0.525  0.55
Malcuzynski 1961   41  0.4342  0.0055  0.0549  0.0578  0.0369  0.04
Magaloff 1978   67  0.3443  0.0053  0.0469  0.0462  0.0373  0.03
Magin 1975   80  0.2377  0.0078  0.0471  0.0467  0.0376  0.03
Michalowski 1933   70  0.2978  0.0061  0.0552  0.0543  0.1549  0.09
Milkina 1970   48  0.4134  0.0054  0.0465  0.0455  0.0568  0.04
Mohovich 1999   10  0.5512  0.026  0.1010  0.5218  0.4411  0.48
Moravec 1969   63  0.3881  0.0074  0.0475  0.0477  0.0372  0.03
Morozova 2008   22  0.5244  0.0032  0.0825  0.4126  0.2231  0.30
Neighaus 1950   24  0.5110  0.0211  0.097  0.5629  0.2816  0.40
Niedzielski 1931   68  0.3248  0.0073  0.0380  0.0364  0.0475  0.03
Ohlsson 1999   26  0.5019  0.0124  0.0817  0.4634  0.2030  0.30
Osinska 1989   50  0.4175  0.0062  0.0546  0.0575  0.0464  0.04
Pachmann 1927   19  0.5220  0.0115  0.0812  0.516  0.623  0.56
Paderewski 1930   58  0.3858  0.0064  0.0378  0.0343  0.1257  0.06
Perlemuter 1992   23  0.5130  0.0139  0.0837  0.2636  0.1536  0.20
Pierdomenico 2008   72  0.2982  0.0079  0.0476  0.0488  0.0274  0.03
Poblocka 1999   27  0.5049  0.0019  0.0919  0.4518  0.3713  0.41
Rabcewiczowa 1932   39  0.4450  0.0038  0.0934  0.2922  0.4325  0.35
Rachmaninoff 1923   46  0.4141  0.0056  0.0477  0.0472  0.0466  0.04
Rangell 2001   56  0.3937  0.0051  0.0553  0.0523  0.2943  0.12
Richter 1976   45  0.4256  0.0059  0.0470  0.0466  0.0379  0.03
Rosen 1989   52  0.4031  0.0026  0.0643  0.1543  0.1339  0.14
Rosenthal 1930   77  0.2762  0.0081  0.0381  0.0371  0.0382  0.03
Rosenthal 1931   81  0.2259  0.0085  0.0284  0.0283  0.0287  0.02
Rosenthal 1931b   85  0.1860  0.0086  0.0289  0.0283  0.0290  0.02
Rosenthal 1931c   82  0.2183  0.0084  0.0287  0.0284  0.0291  0.02
Rosenthal 1931d   84  0.1884  0.0087  0.0285  0.0277  0.0389  0.02
Rossi 2007   87  0.1685  0.0088  0.0286  0.0270  0.0386  0.02
Rubinstein 1939   75  0.2873  0.0077  0.0473  0.0431  0.2547  0.10
Rubinstein 1952   36  0.4416  0.0150  0.0459  0.0435  0.1853  0.08
Rubinstein 1966   12  0.545  0.057  0.096  0.567  0.554  0.55
Schilhawsky 1960   13  0.5428  0.0120  0.0823  0.4219  0.3914  0.40
Shebanova 2002   25  0.5145  0.0028  0.0722  0.4327  0.3518  0.39
Smith 1975   28  0.4963  0.0040  0.0835  0.2952  0.0444  0.11
Sokolov 2002   42  0.4270  0.0044  0.0545  0.1047  0.0751  0.08
Sztompka 1959   43  0.4254  0.0048  0.0458  0.0449  0.0660  0.05
Tomsic 1995   29  0.4939  0.0037  0.1231  0.3633  0.1933  0.26
Uninsky 1932   17  0.5217  0.0129  0.0728  0.3829  0.2232  0.29
Uninsky 1971   7  0.5622  0.0118  0.1013  0.4812  0.508  0.49
Wasowski 1980   51  0.4166  0.0033  0.0938  0.2439  0.1935  0.21
Zak 1937   9  0.566  0.0417  0.1011  0.5115  0.459  0.48
Zak 1951   6  0.5618  0.0116  0.088  0.5614  0.476  0.51
Average   1  0.631  0.341  0.331  0.7342  0.1824  0.36
Random 1   89  0.0261  0.0090  0.0288  0.0214  0.3850  0.09
Random 2   90  0.0126  0.0189  0.0190  0.0123  0.2863  0.05
Random 3   91  -0.0690  0.0091  0.0191  0.0166  0.0388  0.02

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).