Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.2372  0.0066  0.0660  0.0665  0.0470  0.05
Anderszewski 2003   53  0.2927  0.0030  0.1030  0.359  0.6028  0.46
Ashkenazy 1981   33  0.3756  0.0034  0.0936  0.3043  0.1639  0.22
Bacha 2000   59  0.2676  0.0064  0.0470  0.0451  0.0664  0.05
Badura 1965   63  0.2540  0.0059  0.0655  0.0631  0.3840  0.15
Barbosa 1983   25  0.4239  0.0021  0.1314  0.576  0.6712  0.62
Biret 1990   73  0.1755  0.0079  0.0380  0.0354  0.0678  0.04
Blet 2003   48  0.3273  0.0054  0.0749  0.0745  0.1552  0.10
Block 1995   2  0.5413  0.016  0.232  0.774  0.774  0.77
Blumental 1952   55  0.2741  0.0065  0.0565  0.0545  0.1059  0.07
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   41  0.3337  0.0041  0.0640  0.2416  0.5632  0.37
Bunin 1987   57  0.2615  0.0160  0.0564  0.0552  0.0671  0.05
Bunin 1987b   60  0.2677  0.0061  0.0468  0.0448  0.0769  0.05
Chiu 1999   52  0.2978  0.0058  0.0846  0.0849  0.0856  0.08
Cohen 1997   54  0.2785  0.0044  0.0644  0.1353  0.0655  0.09
Cortot 1951   70  0.1949  0.0063  0.0469  0.0435  0.3051  0.11
Csalog 1996   62  0.2545  0.0067  0.0654  0.0650  0.0661  0.06
Czerny 1949   88  -0.0586  0.0088  0.0288  0.0279  0.0388  0.02
Czerny 1990   71  0.1979  0.0078  0.0473  0.0461  0.0577  0.04
Duchoud 2007   65  0.2444  0.0062  0.0661  0.0651  0.0763  0.06
Ezaki 2006   58  0.2663  0.0057  0.0657  0.0638  0.2346  0.12
Falvay 1989   78  0.1464  0.0070  0.0747  0.0773  0.0367  0.05
Farrell 1958   84  0.0387  0.0085  0.0374  0.0378  0.0382  0.03
Ferenczy 1958   86  0.0069  0.0086  0.0382  0.0360  0.0676  0.04
Fliere 1977   3  0.546  0.077  0.207  0.6916  0.727  0.70
Fou 1978   36  0.3510  0.0227  0.1228  0.4221  0.4330  0.42
Francois 1956   74  0.1630  0.0075  0.0384  0.0361  0.0485  0.03
Friedman 1923   23  0.4318  0.0024  0.1425  0.4920  0.5926  0.54
Friedman 1923b   19  0.4438  0.0023  0.2024  0.4919  0.6221  0.55
Friedman 1930   20  0.4446  0.0025  0.1418  0.5321  0.6018  0.56
Garcia 2007   7  0.524  0.095  0.194  0.762  0.783  0.77
Garcia 2007b   32  0.3729  0.0032  0.1035  0.3126  0.4831  0.39
Gierzod 1998   49  0.3121  0.0042  0.0642  0.1619  0.5735  0.30
Gornostaeva 1994   64  0.2480  0.0068  0.0748  0.0740  0.2148  0.12
Groot 1988   28  0.4075  0.0039  0.0739  0.2455  0.0745  0.13
Harasiewicz 1955   22  0.4434  0.0022  0.1713  0.5911  0.5516  0.57
Hatto 1993   51  0.3043  0.0046  0.0566  0.0545  0.1357  0.08
Hatto 1997   77  0.1447  0.0069  0.0563  0.0575  0.0375  0.04
Horowitz 1949   26  0.4158  0.0035  0.1037  0.2931  0.4333  0.35
Indjic 1988   56  0.2660  0.0047  0.0659  0.0651  0.0858  0.07
Kapell 1951   37  0.3442  0.0028  0.1033  0.3325  0.3434  0.33
Kissin 1993   47  0.3261  0.0049  0.0658  0.0642  0.2843  0.13
Kushner 1989   16  0.4524  0.0017  0.1016  0.5518  0.5424  0.54
Luisada 1991   27  0.4120  0.0029  0.1026  0.4627  0.4727  0.46
Lushtak 2004   18  0.449  0.0215  0.0819  0.533  0.6914  0.60
Malcuzynski 1961   15  0.4748  0.0019  0.0922  0.5113  0.5919  0.55
Magaloff 1978   9  0.505  0.0910  0.1917  0.5316  0.5623  0.54
Magin 1975   38  0.3450  0.0053  0.0653  0.0642  0.2347  0.12
Michalowski 1933   35  0.3665  0.0043  0.0641  0.1650  0.0750  0.11
Milkina 1970   85  0.0181  0.0083  0.0383  0.0377  0.0383  0.03
Mohovich 1999   4  0.542  0.132  0.223  0.763  0.765  0.76
Moravec 1969   81  0.1288  0.0082  0.0386  0.0386  0.0286  0.02
Morozova 2008   46  0.3235  0.0031  0.1034  0.3254  0.0544  0.13
Neighaus 1950   12  0.4919  0.0012  0.1310  0.656  0.5515  0.60
Niedzielski 1931   31  0.3726  0.0040  0.0838  0.2536  0.2337  0.24
Ohlsson 1999   34  0.3722  0.0036  0.0732  0.3437  0.1438  0.22
Osinska 1989   30  0.3831  0.0037  0.0829  0.3722  0.5329  0.44
Pachmann 1927   6  0.5314  0.018  0.198  0.688  0.836  0.75
Paderewski 1930   24  0.4332  0.0026  0.1321  0.5117  0.6117  0.56
Perlemuter 1992   11  0.4928  0.0014  0.1120  0.528  0.7213  0.61
Pierdomenico 2008   39  0.3354  0.0056  0.0567  0.0547  0.0760  0.06
Poblocka 1999   17  0.4533  0.0018  0.0923  0.508  0.5922  0.54
Rabcewiczowa 1932   68  0.2253  0.0072  0.0377  0.0350  0.0868  0.05
Rachmaninoff 1923   76  0.1589  0.0080  0.0379  0.0380  0.0381  0.03
Rangell 2001   21  0.448  0.0211  0.1512  0.615  0.6611  0.63
Richter 1976   13  0.4916  0.0116  0.1011  0.6324  0.718  0.67
Rosen 1989   14  0.487  0.029  0.219  0.689  0.669  0.67
Rosenthal 1930   82  0.0957  0.0084  0.0375  0.0367  0.0484  0.03
Rosenthal 1931   83  0.0382  0.0081  0.0378  0.0351  0.0574  0.04
Rosenthal 1931b   79  0.1262  0.0074  0.0376  0.0346  0.1072  0.05
Rosenthal 1931c   75  0.1566  0.0071  0.0471  0.0460  0.0480  0.04
Rosenthal 1931d   80  0.1290  0.0077  0.0472  0.0450  0.0579  0.04
Rossi 2007   72  0.1770  0.0076  0.0385  0.0324  0.2953  0.09
Rubinstein 1939   87  -0.0183  0.0087  0.0387  0.0390  0.0287  0.02
Rubinstein 1952   42  0.3325  0.0050  0.0652  0.0635  0.2649  0.12
Rubinstein 1966   45  0.3274  0.0033  0.0931  0.3431  0.2536  0.29
Schilhawsky 1960   29  0.4011  0.0120  0.1127  0.443  0.7020  0.55
Shebanova 2002   10  0.5052  0.0013  0.0915  0.5531  0.5325  0.54
Smith 1975   69  0.2036  0.0073  0.0381  0.0353  0.0673  0.04
Sokolov 2002   66  0.2423  0.0051  0.0750  0.0761  0.0366  0.05
Sztompka 1959   44  0.3259  0.0045  0.0645  0.1358  0.0654  0.09
Tomsic 1995   43  0.3367  0.0048  0.0751  0.0728  0.2642  0.13
Uninsky 1932   40  0.3351  0.0052  0.0656  0.0653  0.0662  0.06
Uninsky 1971   61  0.2517  0.0038  0.0743  0.1444  0.1441  0.14
Wasowski 1980   50  0.3091  0.0055  0.0662  0.0661  0.0565  0.05
Zak 1937   5  0.533  0.103  0.205  0.743  0.821  0.78
Zak 1951   8  0.5112  0.014  0.206  0.723  0.822  0.77
Average   1  0.581  0.321  0.321  0.8518  0.4610  0.63
Random 1   89  -0.0668  0.0090  0.0189  0.0188  0.0291  0.01
Random 2   91  -0.0884  0.0089  0.0190  0.0186  0.0290  0.01
Random 3   90  -0.0771  0.0091  0.0191  0.0154  0.0389  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).