Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.4321  0.0070  0.0472  0.0423  0.4058  0.13
Anderszewski 2003   21  0.5322  0.0015  0.0821  0.4926  0.4522  0.47
Ashkenazy 1981   74  0.359  0.0084  0.0384  0.0376  0.0388  0.03
Bacha 2000   59  0.4123  0.0076  0.0459  0.0415  0.4356  0.13
Badura 1965   46  0.453  0.0050  0.0549  0.0510  0.4751  0.15
Barbosa 1983   23  0.5314  0.0036  0.0833  0.2953  0.0850  0.15
Biret 1990   13  0.5524  0.0012  0.0811  0.5714  0.5315  0.55
Blet 2003   71  0.3725  0.0048  0.0557  0.0516  0.3357  0.13
Block 1995   65  0.3926  0.0065  0.0377  0.0343  0.1480  0.06
Blumental 1952   10  0.5727  0.0018  0.0912  0.5613  0.6312  0.59
Boshniakovich 1969   44  0.4628  0.0030  0.0929  0.3432  0.2736  0.30
Brailowsky 1960   35  0.506  0.0042  0.0641  0.1735  0.3344  0.24
Bunin 1987   52  0.4329  0.0056  0.0462  0.0419  0.3565  0.12
Bunin 1987b   55  0.4230  0.0060  0.0466  0.0423  0.3760  0.12
Chiu 1999   60  0.4131  0.0071  0.0469  0.0439  0.1875  0.08
Cohen 1997   73  0.3632  0.0059  0.0556  0.057  0.5347  0.16
Cortot 1951   75  0.3533  0.0077  0.0470  0.0417  0.4755  0.14
Csalog 1996   41  0.4734  0.0026  0.1034  0.2916  0.4132  0.34
Czerny 1949   19  0.534  0.0010  0.1510  0.6316  0.678  0.65
Czerny 1990   9  0.5735  0.008  0.158  0.6823  0.647  0.66
Duchoud 2007   81  0.3136  0.0085  0.0460  0.0440  0.2572  0.10
Ezaki 2006   17  0.5437  0.0028  0.0930  0.3334  0.2537  0.29
Falvay 1989   12  0.5615  0.0021  0.1018  0.5127  0.4719  0.49
Farrell 1958   53  0.4338  0.0044  0.0743  0.1628  0.3943  0.25
Ferenczy 1958   26  0.5139  0.0046  0.0846  0.0811  0.6345  0.22
Fliere 1977   15  0.5540  0.0027  0.0924  0.4432  0.3726  0.40
Fou 1978   48  0.4441  0.0062  0.0555  0.0554  0.0581  0.05
Francois 1956   78  0.3342  0.0079  0.0464  0.0436  0.2373  0.10
Friedman 1923   63  0.3943  0.0055  0.0458  0.0410  0.5553  0.15
Friedman 1923b   67  0.3844  0.0064  0.0471  0.0415  0.5352  0.15
Friedman 1930   72  0.3745  0.0066  0.0376  0.0319  0.4468  0.11
Garcia 2007   80  0.3246  0.0078  0.0465  0.0429  0.3664  0.12
Garcia 2007b   57  0.415  0.0033  0.0836  0.2717  0.5131  0.37
Gierzod 1998   5  0.6416  0.005  0.345  0.737  0.635  0.68
Gornostaeva 1994   54  0.4217  0.0061  0.0468  0.0463  0.0486  0.04
Groot 1988   25  0.5247  0.0017  0.0920  0.496  0.5518  0.52
Harasiewicz 1955   6  0.6048  0.009  0.157  0.6913  0.629  0.65
Hatto 1993   2  0.981  0.551  0.552  0.991  1.002  0.99
Hatto 1997   1  0.982  0.442  0.971  1.001  1.001  1.00
Horowitz 1949   82  0.3049  0.0083  0.0475  0.0424  0.3662  0.12
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   49  0.4450  0.0052  0.0551  0.0569  0.0483  0.04
Kissin 1993   38  0.4851  0.0031  0.0935  0.2833  0.4033  0.33
Kushner 1989   16  0.5452  0.0023  0.1214  0.5528  0.3823  0.46
Luisada 1991   39  0.4818  0.0039  0.0644  0.1518  0.4939  0.27
Lushtak 2004   14  0.5553  0.0020  0.0816  0.5314  0.5516  0.54
Malcuzynski 1961   30  0.5054  0.0022  0.0922  0.4824  0.4324  0.45
Magaloff 1978   11  0.567  0.0013  0.0917  0.523  0.6610  0.59
Magin 1975   47  0.4455  0.0054  0.0550  0.0546  0.0977  0.07
Michalowski 1933   88  0.1456  0.0088  0.0387  0.0368  0.0387  0.03
Milkina 1970   7  0.5957  0.007  0.139  0.6422  0.4714  0.55
Mohovich 1999   24  0.5258  0.0014  0.0715  0.5417  0.5217  0.53
Moravec 1969   31  0.5059  0.0034  0.1027  0.3720  0.4725  0.42
Morozova 2008   62  0.3960  0.0057  0.0461  0.0458  0.0585  0.04
Neighaus 1950   79  0.3361  0.0063  0.0380  0.0322  0.4171  0.11
Niedzielski 1931   83  0.2962  0.0081  0.0386  0.0338  0.1379  0.06
Ohlsson 1999   43  0.4711  0.0043  0.0742  0.1620  0.4441  0.27
Osinska 1989   4  0.6763  0.004  0.334  0.798  0.694  0.74
Pachmann 1927   87  0.1964  0.0087  0.0289  0.0275  0.0389  0.02
Paderewski 1930   86  0.2165  0.0080  0.0385  0.0318  0.3866  0.11
Perlemuter 1992   76  0.3566  0.0058  0.0554  0.0519  0.4154  0.14
Pierdomenico 2008   69  0.388  0.0051  0.0553  0.0518  0.5046  0.16
Poblocka 1999   22  0.5367  0.0024  0.1123  0.4718  0.4921  0.48
Rabcewiczowa 1932   50  0.4468  0.0035  0.0738  0.2329  0.3140  0.27
Rachmaninoff 1923   42  0.4769  0.0019  0.0828  0.3418  0.4727  0.40
Rangell 2001   70  0.3819  0.0073  0.0379  0.0334  0.2476  0.08
Richter 1976   77  0.3470  0.0082  0.0474  0.0462  0.0484  0.04
Rosen 1989   20  0.5320  0.0025  0.1025  0.429  0.5820  0.49
Rosenthal 1930   56  0.4112  0.0068  0.0381  0.0328  0.3969  0.11
Rosenthal 1931   61  0.4071  0.0069  0.0378  0.0322  0.4167  0.11
Rosenthal 1931b   66  0.3972  0.0075  0.0473  0.0420  0.4259  0.13
Rosenthal 1931c   45  0.4573  0.0053  0.0552  0.0516  0.5048  0.16
Rosenthal 1931d   64  0.3974  0.0072  0.0382  0.0323  0.3970  0.11
Rossi 2007   84  0.2675  0.0086  0.0463  0.0469  0.0482  0.04
Rubinstein 1939   36  0.4976  0.0032  0.0831  0.3021  0.4530  0.37
Rubinstein 1952   37  0.4977  0.0029  0.0726  0.3827  0.3929  0.38
Rubinstein 1966   8  0.5978  0.006  0.186  0.7016  0.656  0.67
Schilhawsky 1960   28  0.5179  0.0037  0.0832  0.2917  0.5028  0.38
Shebanova 2002   33  0.5080  0.0016  0.0919  0.505  0.6213  0.56
Smith 1975   29  0.5181  0.0045  0.0845  0.1520  0.4542  0.26
Sokolov 2002   40  0.4782  0.0040  0.0840  0.1915  0.5035  0.31
Sztompka 1959   68  0.3883  0.0038  0.0739  0.2030  0.4138  0.29
Tomsic 1995   58  0.4184  0.0067  0.0467  0.0438  0.1974  0.09
Uninsky 1932   85  0.2685  0.0074  0.0383  0.0339  0.1678  0.07
Uninsky 1971   18  0.5486  0.0011  0.0713  0.557  0.6311  0.59
Wasowski 1980   34  0.5013  0.0041  0.0837  0.2524  0.4234  0.32
Zak 1937   27  0.5187  0.0047  0.0647  0.0633  0.3849  0.15
Zak 1951   32  0.5088  0.0049  0.0548  0.0531  0.2961  0.12
Average   3  0.7410  0.003  0.713  0.8813  0.683  0.77
Random 1   90  -0.0989  0.0091  0.0191  0.0166  0.0290  0.01
Random 2   89  0.0690  0.0089  0.0388  0.035  0.4963  0.12
Random 3   91  -0.0991  0.0090  0.0190  0.0178  0.0291  0.01

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).