Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.4138  0.0070  0.0383  0.0318  0.4269  0.11
Anderszewski 2003   16  0.5439  0.0013  0.1015  0.5023  0.4817  0.49
Ashkenazy 1981   71  0.3640  0.0082  0.0466  0.0448  0.0584  0.04
Bacha 2000   55  0.4322  0.0074  0.0556  0.0511  0.4747  0.15
Badura 1965   51  0.4423  0.0054  0.0553  0.0516  0.4548  0.15
Barbosa 1983   17  0.5441  0.0032  0.0729  0.3361  0.0655  0.14
Biret 1990   11  0.5542  0.0014  0.0912  0.5414  0.5115  0.52
Blet 2003   70  0.3743  0.0048  0.0465  0.0417  0.3068  0.11
Block 1995   63  0.3916  0.0058  0.0472  0.0438  0.1776  0.08
Blumental 1952   6  0.5944  0.009  0.148  0.626  0.708  0.66
Boshniakovich 1969   42  0.463  0.0027  0.0830  0.3333  0.2536  0.29
Brailowsky 1960   25  0.5145  0.0035  0.0934  0.2530  0.4033  0.32
Bunin 1987   50  0.4446  0.0055  0.0477  0.0417  0.3665  0.12
Bunin 1987b   54  0.4317  0.0062  0.0464  0.0420  0.3960  0.12
Chiu 1999   59  0.4047  0.0073  0.0473  0.0439  0.1774  0.08
Cohen 1997   73  0.3648  0.0047  0.0460  0.044  0.5449  0.15
Cortot 1951   74  0.359  0.0078  0.0555  0.0515  0.4750  0.15
Csalog 1996   45  0.4524  0.0029  0.0835  0.2324  0.3338  0.28
Czerny 1949   23  0.5225  0.0012  0.1310  0.5821  0.6310  0.60
Czerny 1990   9  0.5826  0.007  0.216  0.6920  0.666  0.67
Duchoud 2007   82  0.3049  0.0084  0.0458  0.0442  0.1775  0.08
Ezaki 2006   15  0.5450  0.0031  0.0726  0.3734  0.2435  0.30
Falvay 1989   12  0.5510  0.0021  0.1220  0.4730  0.4621  0.46
Farrell 1958   41  0.4627  0.0039  0.0643  0.1624  0.4140  0.26
Ferenczy 1958   27  0.5051  0.0037  0.0638  0.208  0.6329  0.35
Fliere 1977   13  0.544  0.0025  0.0923  0.4326  0.4024  0.41
Fou 1978   48  0.4412  0.0067  0.0474  0.0466  0.0482  0.04
Francois 1956   79  0.3352  0.0071  0.0382  0.0331  0.2673  0.09
Friedman 1923   65  0.3953  0.0057  0.0468  0.044  0.5751  0.15
Friedman 1923b   67  0.3828  0.0064  0.0645  0.069  0.5444  0.18
Friedman 1930   62  0.4054  0.0063  0.0552  0.0510  0.5246  0.16
Garcia 2007   78  0.3355  0.0079  0.0470  0.0433  0.2970  0.11
Garcia 2007b   57  0.4129  0.0036  0.0936  0.2317  0.4832  0.33
Gierzod 1998   4  0.6356  0.004  0.295  0.728  0.625  0.67
Gornostaeva 1994   53  0.4357  0.0066  0.0467  0.0455  0.0585  0.04
Groot 1988   19  0.5318  0.0016  0.1118  0.494  0.5616  0.52
Harasiewicz 1955   5  0.6258  0.005  0.204  0.735  0.674  0.70
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.972  0.222  0.962  0.992  0.992  0.99
Horowitz 1949   81  0.3159  0.0080  0.0380  0.0317  0.4267  0.11
Indjic 1988   1  0.981  0.771  0.771  1.002  0.991  0.99
Kapell 1951   52  0.438  0.0051  0.0554  0.0565  0.0579  0.05
Kissin 1993   43  0.4519  0.0042  0.0737  0.2140  0.3042  0.25
Kushner 1989   18  0.5360  0.0023  0.0819  0.4933  0.3425  0.41
Luisada 1991   40  0.4713  0.0044  0.0644  0.1220  0.4643  0.23
Lushtak 2004   14  0.5461  0.0019  0.1016  0.5014  0.5414  0.52
Malcuzynski 1961   30  0.5030  0.0024  0.0822  0.4431  0.3826  0.41
Magaloff 1978   10  0.575  0.0011  0.1213  0.531  0.679  0.60
Magin 1975   46  0.4562  0.0061  0.0549  0.0548  0.0778  0.06
Michalowski 1933   87  0.1163  0.0087  0.0288  0.0281  0.0288  0.02
Milkina 1970   7  0.5931  0.008  0.169  0.5923  0.4613  0.52
Mohovich 1999   22  0.5264  0.0017  0.0917  0.4921  0.4819  0.48
Moravec 1969   26  0.5165  0.0026  0.0925  0.4115  0.5022  0.45
Morozova 2008   66  0.3914  0.0060  0.0471  0.0459  0.0583  0.04
Neighaus 1950   77  0.3366  0.0068  0.0457  0.0418  0.4359  0.13
Niedzielski 1931   80  0.3120  0.0069  0.0385  0.0327  0.2872  0.09
Ohlsson 1999   39  0.4767  0.0038  0.0641  0.1720  0.4439  0.27
Osinska 1989   3  0.6621  0.003  0.223  0.7510  0.663  0.70
Pachmann 1927   86  0.2068  0.0086  0.0387  0.0367  0.0387  0.03
Paderewski 1930   85  0.2169  0.0083  0.0469  0.0422  0.3562  0.12
Perlemuter 1992   75  0.3470  0.0053  0.0462  0.0417  0.4257  0.13
Pierdomenico 2008   72  0.366  0.0050  0.0459  0.0420  0.4953  0.14
Poblocka 1999   21  0.5271  0.0020  0.1021  0.4719  0.4820  0.47
Rabcewiczowa 1932   44  0.4532  0.0030  0.0831  0.3120  0.3928  0.35
Rachmaninoff 1923   38  0.4872  0.0018  0.1027  0.3611  0.5223  0.43
Rangell 2001   69  0.3773  0.0075  0.0384  0.0335  0.2277  0.08
Richter 1976   76  0.3474  0.0081  0.0378  0.0354  0.0486  0.03
Rosen 1989   24  0.5233  0.0022  0.0924  0.4111  0.5818  0.49
Rosenthal 1930   49  0.4475  0.0056  0.0379  0.0320  0.4864  0.12
Rosenthal 1931   58  0.4176  0.0065  0.0461  0.0418  0.4458  0.13
Rosenthal 1931b   64  0.3934  0.0076  0.0475  0.0417  0.4656  0.14
Rosenthal 1931c   47  0.4477  0.0052  0.0646  0.0614  0.5245  0.18
Rosenthal 1931d   60  0.4078  0.0072  0.0381  0.0316  0.4766  0.12
Rossi 2007   84  0.2479  0.0085  0.0463  0.0458  0.0581  0.04
Rubinstein 1939   37  0.4815  0.0033  0.0833  0.2721  0.4331  0.34
Rubinstein 1952   36  0.4811  0.0028  0.0828  0.3529  0.3630  0.35
Rubinstein 1966   8  0.5880  0.006  0.147  0.6816  0.647  0.66
Schilhawsky 1960   32  0.5081  0.0034  0.0832  0.3019  0.4927  0.38
Shebanova 2002   28  0.5035  0.0015  0.0914  0.515  0.6112  0.56
Smith 1975   35  0.4882  0.0046  0.0551  0.0524  0.4052  0.14
Sokolov 2002   34  0.4983  0.0041  0.0639  0.2018  0.4934  0.31
Sztompka 1959   68  0.3884  0.0043  0.0840  0.1928  0.4137  0.28
Tomsic 1995   61  0.4085  0.0077  0.0550  0.0566  0.0580  0.05
Uninsky 1932   83  0.2786  0.0059  0.0476  0.0434  0.2371  0.10
Uninsky 1971   20  0.5387  0.0010  0.1111  0.557  0.6311  0.59
Wasowski 1980   33  0.4936  0.0040  0.0742  0.1729  0.3641  0.25
Zak 1937   29  0.5037  0.0045  0.0547  0.0528  0.3954  0.14
Zak 1951   31  0.507  0.0049  0.0548  0.0532  0.2761  0.12
Random 1   89  -0.1088  0.0090  0.0190  0.0171  0.0290  0.01
Random 2   88  0.0889  0.0088  0.0386  0.034  0.4963  0.12
Random 3   90  -0.1090  0.0089  0.0189  0.0168  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).