Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.6150  0.0033  0.0733  0.2825  0.2138  0.24
Anderszewski 2003   25  0.5962  0.0023  0.0915  0.4114  0.5013  0.45
Ashkenazy 1981   22  0.6037  0.0022  0.0922  0.3833  0.2334  0.30
Bacha 2000   74  0.3779  0.0083  0.0382  0.0381  0.0375  0.03
Badura 1965   62  0.4660  0.0038  0.0641  0.1920  0.3835  0.27
Barbosa 1983   68  0.4280  0.0058  0.0747  0.0745  0.1054  0.08
Biret 1990   23  0.6018  0.0140  0.0837  0.2621  0.4531  0.34
Blet 2003   35  0.5688  0.0044  0.0942  0.1733  0.2539  0.21
Block 1995   59  0.4620  0.0052  0.0464  0.0438  0.1655  0.08
Blumental 1952   77  0.3642  0.0053  0.0465  0.0452  0.0574  0.04
Boshniakovich 1969   60  0.4648  0.0071  0.0372  0.0366  0.0383  0.03
Brailowsky 1960   65  0.4455  0.0076  0.0286  0.0251  0.0576  0.03
Bunin 1987   5  0.6825  0.004  0.247  0.508  0.537  0.51
Bunin 1987b   6  0.6824  0.005  0.268  0.508  0.536  0.51
Chiu 1999   78  0.3657  0.0068  0.0367  0.0351  0.0567  0.04
Cohen 1997   83  0.2621  0.0085  0.0285  0.0273  0.0390  0.02
Cortot 1951   27  0.5966  0.0036  0.0731  0.316  0.5719  0.42
Csalog 1996   71  0.3923  0.0069  0.0368  0.0350  0.0670  0.04
Czerny 1949   14  0.6311  0.0114  0.109  0.4812  0.642  0.55
Czerny 1990   12  0.6436  0.0016  0.0723  0.3718  0.3628  0.36
Duchoud 2007   8  0.6631  0.008  0.1011  0.478  0.5010  0.48
Ezaki 2006   10  0.6617  0.0110  0.1112  0.4620  0.3817  0.42
Falvay 1989   44  0.5382  0.0050  0.0553  0.0543  0.0858  0.06
Farrell 1958   67  0.4389  0.0081  0.0379  0.0366  0.0377  0.03
Ferenczy 1958   45  0.5339  0.0048  0.0651  0.0620  0.3945  0.15
Fliere 1977   16  0.6132  0.0043  0.0743  0.1746  0.0848  0.12
Fou 1978   70  0.4238  0.0072  0.0370  0.0378  0.0378  0.03
Francois 1956   17  0.6146  0.0015  0.0821  0.3817  0.4222  0.40
Friedman 1923   87  0.2261  0.0074  0.0371  0.0343  0.1259  0.06
Friedman 1923b   85  0.2349  0.0073  0.0375  0.0343  0.1066  0.05
Friedman 1930   75  0.3745  0.0056  0.0557  0.0535  0.2750  0.12
Garcia 2007   84  0.2567  0.0079  0.0381  0.0357  0.0572  0.04
Garcia 2007b   88  0.1778  0.0087  0.0283  0.0282  0.0291  0.02
Gierzod 1998   38  0.5626  0.0045  0.0645  0.1334  0.1746  0.15
Gornostaeva 1994   9  0.669  0.0213  0.0913  0.4217  0.4218  0.42
Groot 1988   26  0.5970  0.0037  0.0638  0.2241  0.1542  0.18
Harasiewicz 1955   41  0.553  0.053  0.193  0.565  0.494  0.52
Hatto 1993   63  0.4563  0.0039  0.0739  0.2122  0.3137  0.26
Hatto 1997   46  0.5312  0.0120  0.0829  0.3517  0.4424  0.39
Horowitz 1949   61  0.4683  0.0063  0.0554  0.0571  0.0469  0.04
Indjic 1988   51  0.4827  0.0026  0.0934  0.2721  0.3433  0.30
Kapell 1951   4  0.684  0.0512  0.126  0.504  0.535  0.51
Kissin 1993   48  0.5171  0.0060  0.0560  0.0556  0.0563  0.05
Kushner 1989   13  0.6322  0.0035  0.0735  0.2719  0.3632  0.31
Luisada 1991   54  0.4877  0.0065  0.0561  0.0559  0.0560  0.05
Lushtak 2004   43  0.5484  0.0019  0.0727  0.3526  0.3530  0.35
Malcuzynski 1961   3  0.706  0.029  0.115  0.5216  0.4012  0.46
Magaloff 1978   15  0.6215  0.0130  0.0732  0.3143  0.1241  0.19
Magin 1975   18  0.6110  0.0128  0.0826  0.3611  0.4421  0.40
Michalowski 1933   56  0.4719  0.0027  0.0817  0.413  0.579  0.48
Milkina 1970   47  0.5314  0.0154  0.0463  0.0458  0.0468  0.04
Mohovich 1999   39  0.5643  0.0049  0.0649  0.0657  0.0564  0.05
Moravec 1969   55  0.4733  0.0051  0.0558  0.0537  0.1353  0.08
Morozova 2008   29  0.5834  0.0021  0.0718  0.3916  0.3627  0.37
Neighaus 1950   21  0.6044  0.0029  0.1030  0.3444  0.1240  0.20
Niedzielski 1931   69  0.4272  0.0067  0.0369  0.0331  0.1756  0.07
Ohlsson 1999   7  0.678  0.027  0.1010  0.4818  0.3520  0.41
Osinska 1989   40  0.5613  0.0131  0.0644  0.1328  0.2243  0.17
Pachmann 1927   82  0.3264  0.0078  0.0378  0.0375  0.0380  0.03
Paderewski 1930   52  0.4874  0.0066  0.0466  0.0472  0.0379  0.03
Perlemuter 1992   36  0.567  0.0224  0.0824  0.3713  0.4915  0.43
Pierdomenico 2008   57  0.4776  0.0061  0.0650  0.0628  0.2349  0.12
Poblocka 1999   30  0.5891  0.0046  0.0648  0.0646  0.0657  0.06
Rabcewiczowa 1932   33  0.5759  0.0042  0.0640  0.2111  0.5829  0.35
Rachmaninoff 1923   37  0.5647  0.0017  0.0814  0.419  0.5211  0.46
Rangell 2001   66  0.4435  0.0084  0.0374  0.0374  0.0384  0.03
Richter 1976   31  0.5840  0.0018  0.0719  0.3911  0.4023  0.39
Rosen 1989   53  0.4852  0.0064  0.0552  0.0561  0.0473  0.04
Rosenthal 1930   28  0.5868  0.0041  0.1036  0.2611  0.5626  0.38
Rosenthal 1931   76  0.3790  0.0077  0.0284  0.0253  0.0481  0.03
Rosenthal 1931b   80  0.3475  0.0080  0.0287  0.0263  0.0486  0.03
Rosenthal 1931c   42  0.5441  0.0047  0.0746  0.0717  0.4344  0.17
Rosenthal 1931d   79  0.3669  0.0082  0.0376  0.0365  0.0485  0.03
Rossi 2007   81  0.3381  0.0059  0.0556  0.058  0.4247  0.14
Rubinstein 1939   86  0.2273  0.0089  0.0189  0.0177  0.0388  0.02
Rubinstein 1952   73  0.3816  0.0175  0.0380  0.0368  0.0487  0.03
Rubinstein 1966   72  0.3953  0.0086  0.0377  0.0377  0.0482  0.03
Schilhawsky 1960   32  0.5758  0.0025  0.1016  0.4112  0.4914  0.45
Shebanova 2002   64  0.4528  0.0070  0.0373  0.0367  0.0571  0.04
Smith 1975   11  0.665  0.036  0.144  0.559  0.503  0.52
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   19  0.6186  0.0034  0.0725  0.3622  0.4125  0.38
Tomsic 1995   24  0.6030  0.0032  0.0628  0.3530  0.2036  0.26
Uninsky 1932   34  0.5756  0.0011  0.1220  0.3914  0.4716  0.43
Uninsky 1971   2  0.711  0.321  0.322  0.625  0.621  0.62
Wasowski 1980   49  0.5029  0.0055  0.0462  0.0438  0.1951  0.09
Zak 1937   58  0.4785  0.0062  0.0559  0.0552  0.0561  0.05
Zak 1951   50  0.4987  0.0057  0.0555  0.0560  0.0562  0.05
Average   1  0.782  0.292  0.401  0.7622  0.328  0.49
Random 1   90  0.0365  0.0088  0.0288  0.028  0.4552  0.09
Random 2   91  -0.0254  0.0091  0.0191  0.0164  0.0389  0.02
Random 3   89  0.0651  0.0090  0.0190  0.0126  0.2865  0.05

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).