Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.5235  0.0022  0.1018  0.3430  0.3618  0.35
Anderszewski 2003   5  0.6257  0.004  0.2613  0.433  0.628  0.52
Ashkenazy 1981   4  0.6366  0.007  0.164  0.549  0.555  0.54
Bacha 2000   35  0.4947  0.0058  0.0468  0.0417  0.4644  0.14
Badura 1965   54  0.4486  0.0059  0.0559  0.0517  0.4245  0.14
Barbosa 1983   47  0.4776  0.0045  0.0542  0.1130  0.2938  0.18
Biret 1990   10  0.564  0.0015  0.1010  0.4612  0.5110  0.48
Blet 2003   29  0.5030  0.0036  0.0829  0.2321  0.3824  0.30
Block 1995   86  0.2946  0.0082  0.0471  0.0477  0.0388  0.03
Blumental 1952   23  0.5211  0.0031  0.0628  0.2510  0.3822  0.31
Boshniakovich 1969   58  0.4262  0.0065  0.0650  0.0644  0.1263  0.08
Brailowsky 1960   64  0.4083  0.0080  0.0473  0.0459  0.0578  0.04
Bunin 1987   46  0.4763  0.0047  0.0649  0.0618  0.4240  0.16
Bunin 1987b   49  0.4787  0.0046  0.0554  0.0516  0.4342  0.15
Chiu 1999   32  0.5027  0.0043  0.0541  0.1128  0.3635  0.20
Cohen 1997   63  0.4067  0.0076  0.0477  0.0418  0.4150  0.13
Cortot 1951   66  0.4036  0.0067  0.0846  0.0831  0.2346  0.14
Csalog 1996   78  0.3558  0.0068  0.0463  0.0436  0.2358  0.10
Czerny 1949   36  0.4913  0.0024  0.0625  0.2823  0.4317  0.35
Czerny 1990   24  0.5226  0.0034  0.0632  0.2147  0.0753  0.12
Duchoud 2007   25  0.5277  0.0026  0.0522  0.3215  0.4515  0.38
Ezaki 2006   12  0.567  0.0023  0.0716  0.3534  0.2427  0.29
Falvay 1989   60  0.4121  0.0073  0.0474  0.0453  0.0671  0.05
Farrell 1958   42  0.4878  0.0037  0.0443  0.1068  0.0466  0.06
Ferenczy 1958   41  0.4841  0.0025  0.0636  0.1713  0.4331  0.27
Fliere 1977   13  0.5538  0.0019  0.0615  0.3642  0.1532  0.23
Fou 1978   40  0.4923  0.0053  0.0472  0.0442  0.1364  0.07
Francois 1956   73  0.3759  0.0069  0.0480  0.0445  0.0969  0.06
Friedman 1923   51  0.4679  0.0062  0.0562  0.0525  0.3154  0.12
Friedman 1923b   50  0.4684  0.0051  0.0466  0.0423  0.3356  0.11
Friedman 1930   37  0.4937  0.0035  0.0638  0.1412  0.5130  0.27
Garcia 2007   76  0.3648  0.0075  0.0476  0.0448  0.0674  0.05
Garcia 2007b   68  0.4014  0.0063  0.0555  0.0514  0.4343  0.15
Gierzod 1998   11  0.5643  0.0011  0.096  0.5318  0.489  0.50
Gornostaeva 1994   69  0.3939  0.0072  0.0478  0.0470  0.0390  0.03
Groot 1988   57  0.4215  0.0055  0.0747  0.0757  0.0477  0.05
Harasiewicz 1955   31  0.5060  0.0012  0.0912  0.4531  0.2719  0.35
Hatto 1993   2  0.952  0.022  0.962  0.992  0.992  0.99
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   59  0.4242  0.0057  0.0553  0.0535  0.3547  0.13
Indjic 1988   1  0.971  0.961  0.951  0.992  0.991  0.99
Kapell 1951   16  0.5318  0.0010  0.108  0.4918  0.3912  0.44
Kissin 1993   53  0.4544  0.0054  0.0560  0.0538  0.1862  0.09
Kushner 1989   43  0.4833  0.0061  0.0464  0.0468  0.0580  0.04
Luisada 1991   6  0.6168  0.006  0.149  0.478  0.596  0.53
Lushtak 2004   9  0.5629  0.0020  0.0923  0.3023  0.4516  0.37
Malcuzynski 1961   67  0.4045  0.0039  0.0544  0.0941  0.1651  0.12
Magaloff 1978   55  0.4331  0.0018  0.0839  0.1435  0.1939  0.16
Magin 1975   17  0.5328  0.0013  0.0919  0.3322  0.3621  0.34
Michalowski 1933   79  0.3540  0.0060  0.0558  0.0536  0.2655  0.11
Milkina 1970   39  0.4932  0.0038  0.0540  0.1165  0.0565  0.07
Mohovich 1999   52  0.4551  0.0052  0.0470  0.0435  0.2760  0.10
Moravec 1969   75  0.3664  0.0077  0.0386  0.0363  0.0485  0.03
Morozova 2008   14  0.5452  0.0014  0.1227  0.2727  0.2729  0.27
Neighaus 1950   18  0.5273  0.0028  0.0920  0.3228  0.2826  0.30
Niedzielski 1931   71  0.3816  0.0040  0.0545  0.0934  0.2441  0.15
Ohlsson 1999   7  0.6169  0.005  0.165  0.539  0.537  0.53
Osinska 1989   38  0.4919  0.0042  0.0533  0.1836  0.2334  0.20
Pachmann 1927   82  0.3180  0.0083  0.0383  0.0361  0.0582  0.04
Paderewski 1930   72  0.3765  0.0070  0.0561  0.0529  0.2257  0.10
Perlemuter 1992   74  0.3790  0.0078  0.0387  0.0372  0.0486  0.03
Pierdomenico 2008   80  0.3317  0.0079  0.0475  0.0458  0.0672  0.05
Poblocka 1999   27  0.5112  0.009  0.0911  0.4619  0.4113  0.43
Rabcewiczowa 1932   65  0.4022  0.0064  0.0465  0.0452  0.0673  0.05
Rachmaninoff 1923   48  0.4725  0.0049  0.0648  0.0658  0.0570  0.05
Rangell 2001   83  0.3070  0.0081  0.0385  0.0342  0.1367  0.06
Richter 1976   61  0.4171  0.0066  0.0651  0.0635  0.2748  0.13
Rosen 1989   45  0.4888  0.0050  0.0556  0.0533  0.2259  0.10
Rosenthal 1930   70  0.388  0.0074  0.0479  0.0447  0.0775  0.05
Rosenthal 1931   84  0.2985  0.0086  0.0388  0.0352  0.0487  0.03
Rosenthal 1931b   85  0.2953  0.0087  0.0467  0.0463  0.0483  0.04
Rosenthal 1931c   81  0.3354  0.0084  0.0469  0.0459  0.0484  0.04
Rosenthal 1931d   87  0.2891  0.0085  0.0384  0.0346  0.0776  0.05
Rossi 2007   88  0.1789  0.0088  0.0481  0.0468  0.0479  0.04
Rubinstein 1939   15  0.5461  0.0030  0.0731  0.226  0.5220  0.34
Rubinstein 1952   77  0.3620  0.0056  0.0557  0.0550  0.0768  0.06
Rubinstein 1966   8  0.589  0.0017  0.0917  0.3521  0.4614  0.40
Schilhawsky 1960   21  0.5210  0.0016  0.1014  0.4215  0.5211  0.47
Shebanova 2002   33  0.5034  0.0021  0.0726  0.2831  0.3225  0.30
Smith 1975   28  0.5055  0.0029  0.0624  0.3045  0.1436  0.20
Sokolov 2002   19  0.5224  0.0027  0.0821  0.3233  0.2628  0.29
Sztompka 1959   44  0.4872  0.0033  0.0537  0.1662  0.0561  0.09
Tomsic 1995   62  0.415  0.0071  0.0382  0.0349  0.0681  0.04
Uninsky 1932   56  0.4356  0.0048  0.0652  0.0634  0.2552  0.12
Uninsky 1971   20  0.5281  0.008  0.147  0.504  0.584  0.54
Wasowski 1980   30  0.506  0.0032  0.0630  0.2319  0.4023  0.30
Zak 1937   26  0.5174  0.0044  0.0835  0.1736  0.2733  0.21
Zak 1951   34  0.5049  0.0041  0.0434  0.1836  0.2337  0.20
Average   3  0.693  0.003  0.623  0.8530  0.383  0.57
Random 1   91  -0.0850  0.0091  0.0191  0.0175  0.0291  0.01
Random 2   89  0.0375  0.0089  0.0389  0.031  0.5749  0.13
Random 3   90  -0.0282  0.0090  0.0290  0.0251  0.0489  0.03

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).