Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.4346  0.0031  0.0724  0.3410  0.5723  0.44
Anderszewski 2003   46  0.3847  0.0039  0.0538  0.1430  0.3836  0.23
Ashkenazy 1981   31  0.4042  0.0047  0.0479  0.0437  0.2264  0.09
Bacha 2000   34  0.4031  0.0053  0.0646  0.0616  0.4940  0.17
Badura 1965   69  0.3249  0.0069  0.0468  0.0436  0.1666  0.08
Barbosa 1983   12  0.4768  0.0015  0.1410  0.5711  0.5811  0.57
Biret 1990   7  0.5019  0.0012  0.127  0.605  0.697  0.64
Blet 2003   37  0.3950  0.0026  0.0828  0.3014  0.4928  0.38
Block 1995   80  0.2774  0.0071  0.0480  0.0466  0.0483  0.04
Blumental 1952   9  0.4822  0.0011  0.128  0.595  0.736  0.66
Boshniakovich 1969   71  0.3023  0.0049  0.0551  0.0557  0.0579  0.05
Brailowsky 1960   73  0.2983  0.0084  0.0550  0.0567  0.0574  0.05
Bunin 1987   54  0.3677  0.0023  0.0735  0.2216  0.5030  0.33
Bunin 1987b   56  0.3578  0.0024  0.0736  0.2114  0.4831  0.32
Chiu 1999   28  0.4124  0.0042  0.0541  0.1136  0.1745  0.14
Cohen 1997   63  0.3475  0.0057  0.0555  0.0515  0.5841  0.17
Cortot 1951   72  0.2911  0.0076  0.0463  0.0429  0.2761  0.10
Csalog 1996   60  0.3530  0.0068  0.0470  0.0447  0.0778  0.05
Czerny 1949   23  0.4310  0.0022  0.0823  0.3521  0.6020  0.46
Czerny 1990   17  0.4636  0.0018  0.1314  0.5321  0.6212  0.57
Duchoud 2007   62  0.3451  0.0062  0.0558  0.0533  0.2259  0.10
Ezaki 2006   21  0.4313  0.0036  0.0734  0.2339  0.3334  0.28
Falvay 1989   6  0.514  0.0013  0.1117  0.498  0.4916  0.49
Farrell 1958   66  0.3469  0.0060  0.0647  0.0631  0.2350  0.12
Ferenczy 1958   55  0.3562  0.0063  0.0561  0.0519  0.6539  0.18
Fliere 1977   38  0.3957  0.0051  0.0466  0.0484  0.0387  0.03
Fou 1978   35  0.4063  0.0045  0.0462  0.0449  0.0676  0.05
Francois 1956   64  0.3452  0.0046  0.0472  0.0415  0.5943  0.15
Friedman 1923   78  0.2725  0.0079  0.0385  0.0361  0.0586  0.04
Friedman 1923b   82  0.2679  0.0081  0.0382  0.0352  0.0684  0.04
Friedman 1930   51  0.3638  0.0052  0.0556  0.0533  0.2455  0.11
Garcia 2007   79  0.2717  0.0073  0.0549  0.0541  0.1068  0.07
Garcia 2007b   39  0.397  0.0016  0.1520  0.4614  0.6214  0.53
Gierzod 1998   40  0.3970  0.0032  0.0830  0.2632  0.2835  0.27
Gornostaeva 1994   44  0.3827  0.0061  0.0465  0.0441  0.0972  0.06
Groot 1988   13  0.4753  0.008  0.129  0.578  0.5613  0.56
Harasiewicz 1955   8  0.4839  0.0014  0.1216  0.5226  0.4121  0.46
Hatto 1993   2  0.882  0.122  0.952  0.982  0.982  0.98
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   70  0.3154  0.0070  0.0476  0.0427  0.4248  0.13
Indjic 1988   1  0.911  0.861  0.851  0.992  0.991  0.99
Kapell 1951   16  0.465  0.0020  0.1513  0.5314  0.4218  0.47
Kissin 1993   50  0.3680  0.0050  0.0554  0.0538  0.3449  0.13
Kushner 1989   26  0.4264  0.0041  0.0537  0.1448  0.0757  0.10
Luisada 1991   10  0.4812  0.0010  0.1212  0.559  0.639  0.59
Lushtak 2004   48  0.3758  0.0054  0.0645  0.0647  0.0671  0.06
Malcuzynski 1961   42  0.388  0.0029  0.0725  0.3434  0.2933  0.31
Magaloff 1978   57  0.3555  0.0040  0.0640  0.1448  0.0565  0.08
Magin 1975   29  0.4140  0.0030  0.0727  0.3118  0.5026  0.39
Michalowski 1933   85  0.2148  0.0085  0.0557  0.0551  0.0770  0.06
Milkina 1970   4  0.513  0.005  0.245  0.656  0.724  0.68
Mohovich 1999   32  0.4076  0.009  0.1419  0.4721  0.4819  0.47
Moravec 1969   27  0.4259  0.0035  0.0931  0.2518  0.3832  0.31
Morozova 2008   52  0.3681  0.0055  0.0477  0.0455  0.0582  0.04
Neighaus 1950   53  0.3671  0.0056  0.0552  0.0537  0.2060  0.10
Niedzielski 1931   76  0.2856  0.0074  0.0475  0.0446  0.0675  0.05
Ohlsson 1999   36  0.399  0.0044  0.0444  0.0839  0.1852  0.12
Osinska 1989   14  0.4716  0.0019  0.1018  0.4723  0.4717  0.47
Pachmann 1927   86  0.1684  0.0086  0.0384  0.0365  0.0581  0.04
Paderewski 1930   83  0.2586  0.0072  0.0474  0.0432  0.3551  0.12
Perlemuter 1992   84  0.2465  0.0080  0.0386  0.0346  0.0773  0.05
Pierdomenico 2008   58  0.3566  0.0058  0.0464  0.0418  0.4646  0.14
Poblocka 1999   49  0.3714  0.0038  0.0542  0.1041  0.2044  0.14
Rabcewiczowa 1932   33  0.4044  0.0033  0.0926  0.3117  0.5524  0.41
Rachmaninoff 1923   47  0.3732  0.0043  0.0543  0.0940  0.1947  0.13
Rangell 2001   81  0.2643  0.0082  0.0478  0.0460  0.0585  0.04
Richter 1976   68  0.3245  0.0075  0.0481  0.0457  0.0677  0.05
Rosen 1989   25  0.4233  0.0034  0.0833  0.2431  0.2137  0.22
Rosenthal 1930   41  0.3934  0.0059  0.0560  0.0526  0.5442  0.16
Rosenthal 1931   74  0.2882  0.0078  0.0383  0.0335  0.3658  0.10
Rosenthal 1931b   77  0.2872  0.0083  0.0559  0.0533  0.3154  0.12
Rosenthal 1931c   59  0.3520  0.0064  0.0473  0.0425  0.3356  0.11
Rosenthal 1931d   75  0.2867  0.0077  0.0469  0.0422  0.3853  0.12
Rossi 2007   87  0.1087  0.0088  0.0387  0.0381  0.0288  0.02
Rubinstein 1939   11  0.4728  0.007  0.1411  0.566  0.6010  0.58
Rubinstein 1952   18  0.4673  0.006  0.186  0.617  0.668  0.63
Rubinstein 1966   3  0.5241  0.003  0.264  0.6710  0.665  0.66
Schilhawsky 1960   61  0.346  0.0067  0.0471  0.0438  0.1467  0.07
Shebanova 2002   30  0.4129  0.0021  0.1121  0.4528  0.3825  0.41
Smith 1975   19  0.4461  0.0028  0.0732  0.2519  0.5029  0.35
Sokolov 2002   20  0.4418  0.0027  0.0729  0.2812  0.5127  0.38
Sztompka 1959   65  0.3421  0.0037  0.0739  0.1438  0.2638  0.19
Tomsic 1995   24  0.4226  0.0025  0.0822  0.378  0.5522  0.45
Uninsky 1932   67  0.3388  0.0048  0.0553  0.0536  0.1762  0.09
Uninsky 1971   5  0.5135  0.004  0.173  0.702  0.693  0.69
Wasowski 1980   15  0.4715  0.0017  0.1315  0.5214  0.5315  0.52
Zak 1937   43  0.3889  0.0066  0.0548  0.0549  0.0769  0.06
Zak 1951   45  0.3860  0.0065  0.0467  0.0456  0.0580  0.04
Random 1   89  -0.0590  0.0089  0.0189  0.0175  0.0290  0.01
Random 2   88  0.0837  0.0087  0.0288  0.029  0.4463  0.09
Random 3   90  -0.0885  0.0090  0.0190  0.0173  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).