Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.5245  0.0031  0.0627  0.2164  0.0450  0.09
Anderszewski 2003   4  0.7029  0.003  0.2210  0.569  0.486  0.52
Ashkenazy 1981   3  0.7322  0.005  0.155  0.634  0.543  0.58
Bacha 2000   27  0.558  0.0039  0.0533  0.1536  0.1834  0.16
Badura 1965   46  0.485  0.0049  0.0553  0.0532  0.3039  0.12
Barbosa 1983   52  0.4767  0.0052  0.0464  0.0440  0.1456  0.07
Biret 1990   19  0.5823  0.0029  0.0823  0.2839  0.1626  0.21
Blet 2003   16  0.5853  0.0027  0.0621  0.3029  0.2518  0.27
Block 1995   85  0.2713  0.0080  0.0469  0.0464  0.0472  0.04
Blumental 1952   31  0.5315  0.0056  0.0384  0.0334  0.1558  0.07
Boshniakovich 1969   57  0.4668  0.0047  0.0555  0.0534  0.2146  0.10
Brailowsky 1960   58  0.4654  0.0069  0.0562  0.0574  0.0468  0.04
Bunin 1987   47  0.4869  0.0062  0.0647  0.0638  0.1943  0.11
Bunin 1987b   50  0.4870  0.0061  0.0651  0.0638  0.2141  0.11
Chiu 1999   28  0.5424  0.0050  0.0559  0.0531  0.2244  0.10
Cohen 1997   68  0.4271  0.0073  0.0467  0.0435  0.1359  0.07
Cortot 1951   55  0.4672  0.0063  0.0652  0.0665  0.0464  0.05
Csalog 1996   80  0.3055  0.0067  0.0650  0.0637  0.1645  0.10
Czerny 1949   49  0.4837  0.0048  0.0649  0.0668  0.0563  0.05
Czerny 1990   32  0.5338  0.0051  0.0465  0.0470  0.0474  0.04
Duchoud 2007   18  0.5873  0.0014  0.1120  0.3217  0.3812  0.35
Ezaki 2006   13  0.5930  0.0030  0.0628  0.2060  0.0447  0.09
Falvay 1989   78  0.3174  0.0084  0.0288  0.0274  0.0477  0.03
Farrell 1958   29  0.5446  0.0064  0.0648  0.0681  0.0370  0.04
Ferenczy 1958   41  0.5139  0.0041  0.0545  0.0931  0.2137  0.14
Fliere 1977   9  0.6311  0.0010  0.117  0.6130  0.309  0.43
Fou 1978   38  0.5225  0.0026  0.0929  0.2049  0.0640  0.11
Francois 1956   76  0.3547  0.0072  0.0380  0.0384  0.0388  0.03
Friedman 1923   23  0.5675  0.0035  0.0536  0.1425  0.3028  0.20
Friedman 1923b   22  0.5776  0.0034  0.0534  0.1523  0.3125  0.22
Friedman 1930   24  0.5519  0.0028  0.0726  0.2220  0.4116  0.30
Garcia 2007   43  0.5056  0.0058  0.0466  0.0442  0.1157  0.07
Garcia 2007b   61  0.4526  0.0054  0.0374  0.0346  0.0765  0.05
Gierzod 1998   11  0.6127  0.0013  0.139  0.5724  0.348  0.44
Gornostaeva 1994   75  0.3577  0.0076  0.0376  0.0364  0.0383  0.03
Groot 1988   70  0.3878  0.0075  0.0560  0.0584  0.0376  0.04
Harasiewicz 1955   44  0.4928  0.0021  0.0724  0.2541  0.1133  0.17
Hatto 1993   1  0.991  0.961  0.951  1.001  1.001  1.00
Hatto 1997   2  0.992  0.032  0.962  0.991  0.982  0.98
Horowitz 1949   45  0.4957  0.0024  0.0631  0.1932  0.3219  0.25
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   34  0.5348  0.0020  0.1017  0.3637  0.1621  0.24
Kissin 1993   54  0.469  0.0025  0.0725  0.2233  0.1730  0.19
Kushner 1989   39  0.5158  0.0060  0.0558  0.0553  0.0561  0.05
Luisada 1991   5  0.6940  0.007  0.186  0.6110  0.494  0.55
Lushtak 2004   8  0.6416  0.0016  0.0918  0.3638  0.1424  0.22
Malcuzynski 1961   73  0.3631  0.0045  0.0835  0.1560  0.0452  0.08
Magaloff 1978   67  0.4249  0.0038  0.0439  0.1472  0.0455  0.07
Magin 1975   21  0.573  0.0012  0.1214  0.4325  0.2514  0.33
Michalowski 1933   66  0.4314  0.0032  0.0630  0.2038  0.2723  0.23
Milkina 1970   56  0.4679  0.0043  0.0440  0.1364  0.0551  0.08
Mohovich 1999   59  0.4612  0.0053  0.0468  0.0458  0.0573  0.04
Moravec 1969   77  0.3280  0.0078  0.0385  0.0349  0.0566  0.04
Morozova 2008   10  0.6259  0.0011  0.1222  0.2929  0.2220  0.25
Neighaus 1950   14  0.5850  0.0023  0.0612  0.4949  0.0731  0.19
Niedzielski 1931   63  0.4451  0.0033  0.0637  0.1424  0.2927  0.20
Ohlsson 1999   6  0.6832  0.006  0.164  0.6310  0.455  0.53
Osinska 1989   60  0.457  0.0065  0.0846  0.0884  0.0360  0.05
Pachmann 1927   69  0.396  0.0074  0.0471  0.0429  0.2149  0.09
Paderewski 1930   62  0.4481  0.0066  0.0557  0.0540  0.1253  0.08
Perlemuter 1992   65  0.4360  0.0068  0.0563  0.0559  0.0467  0.04
Pierdomenico 2008   84  0.2817  0.0077  0.0381  0.0372  0.0379  0.03
Poblocka 1999   30  0.5410  0.008  0.1111  0.5025  0.2711  0.37
Rabcewiczowa 1932   72  0.3782  0.0070  0.0379  0.0382  0.0380  0.03
Rachmaninoff 1923   42  0.5183  0.0059  0.0554  0.0559  0.0469  0.04
Rangell 2001   87  0.2533  0.0081  0.0472  0.0458  0.0475  0.04
Richter 1976   64  0.4434  0.0042  0.0443  0.1224  0.3029  0.19
Rosen 1989   53  0.4718  0.0044  0.0638  0.1453  0.0554  0.08
Rosenthal 1930   71  0.3784  0.0071  0.0377  0.0363  0.0482  0.03
Rosenthal 1931   83  0.2885  0.0087  0.0470  0.0480  0.0381  0.03
Rosenthal 1931b   81  0.2952  0.0086  0.0383  0.0362  0.0485  0.03
Rosenthal 1931c   79  0.3061  0.0083  0.0382  0.0373  0.0386  0.03
Rosenthal 1931d   86  0.2786  0.0085  0.0386  0.0375  0.0484  0.03
Rossi 2007   88  0.1641  0.0088  0.0289  0.0283  0.0389  0.02
Rubinstein 1939   17  0.5862  0.0022  0.0644  0.0916  0.3632  0.18
Rubinstein 1952   82  0.2963  0.0079  0.0375  0.0383  0.0387  0.03
Rubinstein 1966   12  0.6020  0.0046  0.0556  0.0536  0.2342  0.11
Schilhawsky 1960   15  0.5842  0.009  0.118  0.5727  0.367  0.45
Shebanova 2002   25  0.5535  0.0019  0.1319  0.3326  0.3115  0.32
Smith 1975   48  0.4843  0.0055  0.0378  0.0370  0.0478  0.03
Sokolov 2002   35  0.5236  0.0036  0.0541  0.1346  0.0648  0.09
Sztompka 1959   37  0.5287  0.0057  0.0473  0.0457  0.0662  0.05
Tomsic 1995   74  0.3688  0.0082  0.0561  0.0582  0.0371  0.04
Uninsky 1932   51  0.4844  0.0040  0.0542  0.1239  0.1936  0.15
Uninsky 1971   40  0.5164  0.0018  0.0913  0.4421  0.3810  0.41
Wasowski 1980   33  0.5321  0.0037  0.0732  0.1839  0.1235  0.15
Zak 1937   20  0.5889  0.0017  0.0915  0.4227  0.2713  0.34
Zak 1951   26  0.5565  0.0015  0.1116  0.3832  0.1917  0.27
Average   7  0.684  0.004  0.163  0.7148  0.0822  0.24
Random 1   91  -0.1366  0.0091  0.0191  0.0154  0.0490  0.02
Random 2   89  0.0290  0.0089  0.0387  0.035  0.5038  0.12
Random 3   90  0.0091  0.0090  0.0190  0.0147  0.0691  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).