Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6760  0.0021  0.0923  0.4727  0.4028  0.43
Anderszewski 2003   10  0.6821  0.0016  0.1217  0.5410  0.5616  0.55
Ashkenazy 1981   44  0.5758  0.0040  0.0838  0.2023  0.3139  0.25
Bacha 2000   80  0.4268  0.0078  0.0477  0.0481  0.0383  0.03
Badura 1965   23  0.6342  0.0025  0.1522  0.473  0.6318  0.54
Barbosa 1983   76  0.4417  0.0164  0.0474  0.0460  0.0579  0.04
Biret 1990   43  0.577  0.0433  0.0932  0.3227  0.2833  0.30
Blet 2003   41  0.5844  0.0050  0.0847  0.084  0.5244  0.20
Block 1995   59  0.5275  0.0041  0.0544  0.1024  0.3147  0.18
Blumental 1952   71  0.4865  0.0058  0.0557  0.0543  0.1264  0.08
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   78  0.4476  0.0080  0.0479  0.0448  0.0669  0.05
Bunin 1987   53  0.5316  0.0142  0.0541  0.125  0.5440  0.25
Bunin 1987b   56  0.5345  0.0043  0.0642  0.115  0.5341  0.24
Chiu 1999   77  0.4456  0.0075  0.0471  0.0469  0.0476  0.04
Cohen 1997   87  0.3054  0.0084  0.0482  0.0450  0.0581  0.04
Cortot 1951   67  0.4977  0.0066  0.0473  0.0426  0.4056  0.13
Csalog 1996   79  0.4327  0.0074  0.0465  0.0458  0.0580  0.04
Czerny 1949   6  0.6914  0.016  0.1314  0.5713  0.5612  0.56
Czerny 1990   25  0.6361  0.0034  0.0936  0.2734  0.2736  0.27
Duchoud 2007   68  0.4912  0.0167  0.0475  0.0418  0.3259  0.11
Ezaki 2006   45  0.5787  0.0057  0.0652  0.0662  0.0468  0.05
Falvay 1989   74  0.4440  0.0081  0.0562  0.0562  0.0672  0.05
Farrell 1958   69  0.4853  0.0070  0.0560  0.0546  0.0767  0.06
Ferenczy 1958   58  0.5284  0.0072  0.0651  0.0635  0.2657  0.12
Fliere 1977   3  0.714  0.053  0.163  0.646  0.549  0.59
Fou 1978   36  0.6146  0.0036  0.0834  0.2829  0.2735  0.27
Francois 1956   54  0.5325  0.0065  0.0468  0.0434  0.2960  0.11
Friedman 1923   48  0.5671  0.0047  0.0749  0.0718  0.4749  0.18
Friedman 1923b   47  0.5679  0.0045  0.0748  0.0719  0.4848  0.18
Friedman 1930   38  0.5923  0.0046  0.0846  0.0819  0.4845  0.20
Garcia 2007   52  0.5436  0.0056  0.0558  0.0525  0.4153  0.14
Garcia 2007b   55  0.5369  0.0049  0.0845  0.0828  0.3452  0.16
Gierzod 1998   1  0.751  0.351  0.351  0.7414  0.601  0.67
Gornostaeva 1994   15  0.676  0.0417  0.1119  0.514  0.717  0.60
Groot 1988   64  0.5135  0.0054  0.0469  0.0450  0.0675  0.05
Harasiewicz 1955   2  0.732  0.152  0.302  0.6711  0.622  0.64
Hatto 1993   31  0.6120  0.0114  0.187  0.5912  0.4820  0.53
Hatto 1997   28  0.6210  0.0113  0.139  0.5812  0.5017  0.54
Horowitz 1949   46  0.5762  0.0044  0.0643  0.119  0.5342  0.24
Indjic 1988   26  0.6313  0.0112  0.128  0.5910  0.5115  0.55
Kapell 1951   39  0.5957  0.0032  0.0931  0.3336  0.2138  0.26
Kissin 1993   4  0.7041  0.005  0.176  0.6115  0.596  0.60
Kushner 1989   17  0.6615  0.0118  0.0816  0.5425  0.5021  0.52
Luisada 1991   37  0.6019  0.0135  0.0735  0.2731  0.2934  0.28
Lushtak 2004   51  0.5455  0.0053  0.0559  0.0536  0.2261  0.10
Malcuzynski 1961   13  0.675  0.0415  0.1313  0.576  0.6011  0.58
Magaloff 1978   65  0.5034  0.0069  0.0478  0.0449  0.0671  0.05
Magin 1975   9  0.6828  0.0023  0.1229  0.4227  0.3529  0.38
Michalowski 1933   32  0.6131  0.0039  0.0837  0.216  0.5932  0.35
Milkina 1970   20  0.6411  0.0127  0.1526  0.4528  0.4326  0.44
Mohovich 1999   57  0.5380  0.0055  0.0554  0.0556  0.0574  0.05
Moravec 1969   83  0.3843  0.0083  0.0386  0.0379  0.0384  0.03
Morozova 2008   35  0.6147  0.0031  0.0933  0.3223  0.4030  0.36
Neighaus 1950   7  0.6849  0.008  0.0911  0.584  0.628  0.60
Niedzielski 1931   50  0.5450  0.0062  0.0463  0.0441  0.1563  0.08
Ohlsson 1999   24  0.6385  0.0020  0.0725  0.4524  0.4127  0.43
Osinska 1989   16  0.6626  0.0026  0.1521  0.4828  0.4325  0.45
Pachmann 1927   40  0.5922  0.0060  0.0467  0.041  0.6650  0.16
Paderewski 1930   42  0.5751  0.0048  0.0650  0.062  0.6743  0.20
Perlemuter 1992   49  0.5437  0.0051  0.0466  0.0426  0.3258  0.11
Pierdomenico 2008   63  0.5139  0.0059  0.0553  0.0528  0.3454  0.13
Poblocka 1999   21  0.6472  0.0024  0.1424  0.4620  0.4724  0.46
Rabcewiczowa 1932   72  0.4688  0.0073  0.0383  0.0383  0.0385  0.03
Rachmaninoff 1923   66  0.4981  0.0068  0.0480  0.0481  0.0477  0.04
Rangell 2001   60  0.5133  0.0052  0.0556  0.056  0.5451  0.16
Richter 1976   5  0.698  0.037  0.1515  0.563  0.674  0.61
Rosen 1989   29  0.6252  0.0038  0.0640  0.1735  0.2446  0.20
Rosenthal 1930   73  0.4589  0.0077  0.0476  0.0441  0.1962  0.09
Rosenthal 1931   84  0.3582  0.0086  0.0384  0.0381  0.0386  0.03
Rosenthal 1931b   85  0.3583  0.0085  0.0287  0.0279  0.0390  0.02
Rosenthal 1931c   81  0.4066  0.0082  0.0470  0.0462  0.0482  0.04
Rosenthal 1931d   86  0.3373  0.0087  0.0385  0.0371  0.0487  0.03
Rossi 2007   75  0.4432  0.0079  0.0481  0.0453  0.0670  0.05
Rubinstein 1939   70  0.4859  0.0071  0.0555  0.0569  0.0478  0.04
Rubinstein 1952   82  0.3948  0.0076  0.0472  0.0481  0.0388  0.03
Rubinstein 1966   61  0.5129  0.0063  0.0464  0.0442  0.1465  0.07
Schilhawsky 1960   14  0.6718  0.0122  0.1020  0.5013  0.5719  0.53
Shebanova 2002   22  0.6463  0.0029  0.1428  0.4227  0.3131  0.36
Smith 1975   34  0.6138  0.0037  0.0739  0.1918  0.3537  0.26
Sokolov 2002   30  0.629  0.0219  0.0818  0.524  0.5913  0.55
Sztompka 1959   11  0.6786  0.009  0.0912  0.5818  0.5314  0.55
Tomsic 1995   62  0.5164  0.0061  0.0561  0.0534  0.3355  0.13
Uninsky 1932   33  0.6174  0.0028  0.1227  0.449  0.5522  0.49
Uninsky 1971   8  0.683  0.134  0.1810  0.589  0.6110  0.59
Wasowski 1980   27  0.6230  0.0030  0.1130  0.4110  0.5323  0.47
Zak 1937   18  0.6524  0.0011  0.115  0.628  0.603  0.61
Zak 1951   19  0.6567  0.0010  0.104  0.628  0.585  0.60
Random 1   89  -0.0878  0.0089  0.0189  0.0127  0.2173  0.05
Random 2   90  -0.0870  0.0090  0.0190  0.0148  0.0489  0.02
Random 3   88  -0.0390  0.0088  0.0288  0.0224  0.2466  0.07

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).