Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.3543  0.0028  0.0533  0.2050  0.0538  0.10
Anderszewski 2003   37  0.3623  0.0036  0.0727  0.2441  0.1926  0.21
Ashkenazy 1981   1  0.556  0.077  0.133  0.6034  0.228  0.36
Bacha 2000   33  0.3732  0.0039  0.0638  0.1734  0.2625  0.21
Badura 1965   35  0.3716  0.0135  0.0636  0.1769  0.0446  0.08
Barbosa 1983   63  0.2869  0.0066  0.0466  0.0461  0.0460  0.04
Biret 1990   53  0.3265  0.0059  0.0459  0.0474  0.0467  0.04
Blet 2003   39  0.3646  0.0058  0.0456  0.0474  0.0462  0.04
Block 1995   77  0.2429  0.0047  0.0551  0.0540  0.1447  0.08
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   7  0.4917  0.0119  0.0825  0.2643  0.1528  0.20
Brailowsky 1960   47  0.349  0.0254  0.0461  0.0445  0.0950  0.06
Bunin 1987   51  0.3344  0.0056  0.0376  0.0380  0.0379  0.03
Bunin 1987b   50  0.3326  0.0055  0.0375  0.0372  0.0375  0.03
Chiu 1999   32  0.3742  0.0033  0.0632  0.2145  0.0732  0.12
Cohen 1997   85  0.1630  0.0084  0.0283  0.0282  0.0288  0.02
Cortot 1951   13  0.4481  0.0016  0.0913  0.4315  0.385  0.40
Csalog 1996   87  0.1162  0.0090  0.0189  0.0182  0.0291  0.01
Czerny 1949   14  0.4454  0.0011  0.1112  0.4330  0.317  0.37
Czerny 1990   9  0.4737  0.0015  0.098  0.4636  0.1815  0.29
Duchoud 2007   54  0.3274  0.0062  0.0553  0.0566  0.0464  0.04
Ezaki 2006   29  0.3875  0.0027  0.0639  0.1659  0.0442  0.08
Falvay 1989   46  0.3558  0.0069  0.0377  0.0382  0.0373  0.03
Farrell 1958   55  0.3160  0.0060  0.0554  0.0562  0.0457  0.04
Ferenczy 1958   49  0.3314  0.019  0.1124  0.2626  0.3019  0.28
Fliere 1977   36  0.3785  0.0067  0.0457  0.0482  0.0371  0.03
Fou 1978   61  0.3034  0.0070  0.0467  0.0472  0.0458  0.04
Francois 1956   80  0.2176  0.0063  0.0462  0.0454  0.0569  0.04
Friedman 1923   69  0.2663  0.0031  0.0629  0.2419  0.3617  0.29
Friedman 1923b   70  0.2666  0.0030  0.0530  0.2420  0.3614  0.29
Friedman 1930   68  0.2728  0.0038  0.0831  0.2136  0.2424  0.22
Garcia 2007   73  0.2535  0.0061  0.0458  0.0434  0.1940  0.09
Garcia 2007b   60  0.3038  0.0032  0.0534  0.206  0.5311  0.33
Gierzod 1998   5  0.518  0.044  0.134  0.5811  0.412  0.49
Gornostaeva 1994   66  0.2751  0.0077  0.0372  0.0376  0.0380  0.03
Groot 1988   72  0.2650  0.0078  0.0465  0.0476  0.0382  0.03
Harasiewicz 1955   62  0.3039  0.0048  0.0548  0.0588  0.0283  0.03
Hatto 1993   16  0.4367  0.0014  0.1018  0.3530  0.2416  0.29
Hatto 1997   20  0.4233  0.0018  0.1217  0.3524  0.3210  0.33
Horowitz 1949   25  0.3910  0.0222  0.0928  0.2443  0.0930  0.15
Indjic 1988   17  0.4370  0.0017  0.1119  0.3329  0.2418  0.28
Kapell 1951   30  0.382  0.142  0.149  0.4532  0.316  0.37
Kissin 1993   41  0.3636  0.0049  0.0550  0.0563  0.0459  0.04
Kushner 1989   11  0.4519  0.0120  0.0814  0.3935  0.1820  0.26
Luisada 1991   18  0.4224  0.0034  0.0635  0.1944  0.1031  0.14
Lushtak 2004   26  0.3845  0.0029  0.0640  0.1645  0.0835  0.11
Malcuzynski 1961   23  0.4013  0.0226  0.0821  0.3057  0.0433  0.11
Magaloff 1978   67  0.2731  0.0072  0.0378  0.0376  0.0372  0.03
Magin 1975   15  0.433  0.133  0.1322  0.2833  0.2122  0.24
Michalowski 1933   22  0.4012  0.0210  0.116  0.5014  0.423  0.46
Milkina 1970   57  0.3148  0.0044  0.0445  0.1059  0.0451  0.06
Mohovich 1999   56  0.3120  0.0171  0.0373  0.0379  0.0378  0.03
Moravec 1969   12  0.451  0.191  0.192  0.608  0.501  0.55
Morozova 2008   2  0.524  0.076  0.117  0.4927  0.2112  0.32
Neighaus 1950   40  0.3659  0.0043  0.0442  0.1175  0.0449  0.07
Niedzielski 1931   76  0.2453  0.0052  0.0646  0.0632  0.1637  0.10
Ohlsson 1999   28  0.3871  0.0042  0.0441  0.1374  0.0353  0.06
Osinska 1989   42  0.3682  0.0041  0.0544  0.1050  0.0643  0.08
Pachmann 1927   88  0.0686  0.0089  0.0190  0.0188  0.0290  0.01
Paderewski 1930   19  0.4211  0.0225  0.1020  0.3235  0.1723  0.23
Perlemuter 1992   31  0.3725  0.0046  0.0549  0.0549  0.0554  0.05
Pierdomenico 2008   78  0.2387  0.0076  0.0374  0.0378  0.0374  0.03
Poblocka 1999   24  0.4041  0.0024  0.0723  0.2760  0.0436  0.10
Rabcewiczowa 1932   48  0.3483  0.0057  0.0468  0.0437  0.1939  0.09
Rachmaninoff 1923   75  0.2440  0.0051  0.0647  0.0682  0.0356  0.04
Rangell 2001   81  0.2188  0.0083  0.0379  0.0384  0.0289  0.02
Richter 1976   84  0.1784  0.0085  0.0286  0.0280  0.0387  0.02
Rosen 1989   52  0.3389  0.0053  0.0460  0.0482  0.0377  0.03
Rosenthal 1930   59  0.3021  0.0064  0.0463  0.0449  0.0565  0.04
Rosenthal 1931   82  0.2077  0.0081  0.0464  0.0456  0.0461  0.04
Rosenthal 1931b   79  0.2155  0.0079  0.0455  0.0473  0.0384  0.03
Rosenthal 1931c   58  0.3149  0.0068  0.0469  0.0458  0.0468  0.04
Rosenthal 1931d   83  0.1978  0.0080  0.0284  0.0267  0.0481  0.03
Rossi 2007   86  0.1390  0.0086  0.0287  0.0280  0.0286  0.02
Rubinstein 1939   71  0.2664  0.0074  0.0471  0.0436  0.1744  0.08
Rubinstein 1952   74  0.2591  0.0082  0.0382  0.0373  0.0485  0.03
Rubinstein 1966   43  0.3627  0.0065  0.0470  0.0461  0.0563  0.04
Schilhawsky 1960   34  0.3722  0.0037  0.0826  0.2556  0.0534  0.11
Shebanova 2002   10  0.4556  0.0021  0.0915  0.3645  0.1127  0.20
Smith 1975   21  0.4068  0.0023  0.0916  0.3638  0.1821  0.25
Sokolov 2002   38  0.3672  0.0050  0.0552  0.0565  0.0455  0.04
Sztompka 1959   8  0.477  0.065  0.1110  0.4534  0.289  0.35
Tomsic 1995   64  0.2852  0.0075  0.0380  0.0373  0.0376  0.03
Uninsky 1932   6  0.4918  0.0113  0.1011  0.4431  0.2113  0.30
Uninsky 1971   3  0.5215  0.0112  0.115  0.5032  0.334  0.41
Wasowski 1980   65  0.2873  0.0073  0.0381  0.0386  0.0370  0.03
Zak 1937   27  0.3879  0.0040  0.0637  0.1768  0.0445  0.08
Zak 1951   44  0.3580  0.0045  0.0543  0.1069  0.0452  0.06
Average   4  0.525  0.078  0.151  0.6254  0.0529  0.18
Random 1   91  -0.0247  0.0091  0.0191  0.0132  0.1966  0.04
Random 2   90  0.0157  0.0087  0.0288  0.0224  0.2748  0.07
Random 3   89  0.0261  0.0088  0.0285  0.0215  0.3741  0.09

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).