Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.3258  0.0032  0.0935  0.2730  0.3535  0.31
Anderszewski 2003   63  0.2359  0.0061  0.0667  0.0637  0.1850  0.10
Ashkenazy 1981   3  0.6814  0.003  0.403  0.883  0.873  0.87
Bacha 2000   25  0.413  0.0030  0.0927  0.375  0.6524  0.49
Badura 1965   65  0.2128  0.0068  0.0568  0.0574  0.0373  0.04
Barbosa 1983   19  0.4717  0.0012  0.1111  0.632  0.7312  0.68
Biret 1990   58  0.2560  0.0067  0.0569  0.0545  0.0958  0.07
Blet 2003   18  0.4761  0.0014  0.1123  0.5414  0.6021  0.57
Block 1995   53  0.2962  0.0051  0.0947  0.0947  0.0655  0.07
Blumental 1952   22  0.4629  0.0023  0.1121  0.564  0.7217  0.63
Boshniakovich 1969   56  0.2611  0.0048  0.0850  0.0858  0.0657  0.07
Brailowsky 1960   87  0.0015  0.0087  0.0288  0.0285  0.0386  0.02
Bunin 1987   48  0.3342  0.0024  0.1029  0.3517  0.5328  0.43
Bunin 1987b   47  0.3343  0.0027  0.1131  0.3417  0.5129  0.42
Chiu 1999   11  0.5063  0.0015  0.1210  0.6417  0.6316  0.63
Cohen 1997   71  0.1664  0.0078  0.0476  0.0476  0.0282  0.03
Cortot 1951   78  0.0965  0.0084  0.0383  0.0385  0.0288  0.02
Csalog 1996   64  0.2230  0.0066  0.0852  0.0875  0.0461  0.06
Czerny 1949   82  0.0766  0.0086  0.0382  0.0369  0.0480  0.03
Czerny 1990   16  0.4844  0.0019  0.1116  0.5914  0.7514  0.67
Duchoud 2007   26  0.4118  0.0028  0.1032  0.3227  0.3933  0.35
Ezaki 2006   73  0.1567  0.0074  0.0661  0.0667  0.0464  0.05
Falvay 1989   33  0.404  0.0041  0.0741  0.2015  0.4337  0.29
Farrell 1958   80  0.0845  0.0079  0.0477  0.0483  0.0277  0.03
Ferenczy 1958   88  -0.0119  0.0088  0.0286  0.0268  0.0479  0.03
Fliere 1977   31  0.4031  0.0036  0.0733  0.3146  0.1044  0.18
Fou 1978   40  0.3568  0.0050  0.0851  0.0857  0.0560  0.06
Francois 1956   69  0.1946  0.0069  0.0570  0.0548  0.0669  0.05
Friedman 1923   51  0.3069  0.0057  0.0755  0.0749  0.0954  0.08
Friedman 1923b   52  0.3032  0.0056  0.0663  0.0647  0.1153  0.08
Friedman 1930   20  0.4670  0.0021  0.1122  0.5515  0.6220  0.58
Garcia 2007   49  0.3322  0.0035  0.0736  0.2629  0.3836  0.31
Garcia 2007b   17  0.4833  0.007  0.229  0.653  0.798  0.72
Gierzod 1998   72  0.1671  0.0055  0.0660  0.0663  0.0567  0.05
Gornostaeva 1994   77  0.1372  0.0076  0.0475  0.0472  0.0383  0.03
Groot 1988   8  0.5234  0.0010  0.167  0.718  0.699  0.70
Harasiewicz 1955   34  0.3973  0.0046  0.0756  0.0753  0.0663  0.06
Hatto 1993   1  0.961  0.991  0.981  0.991  0.991  0.99
Hatto 1997   2  0.832  0.002  0.872  0.961  0.962  0.96
Horowitz 1949   30  0.4074  0.0029  0.0728  0.3620  0.5527  0.44
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   7  0.5675  0.008  0.208  0.702  0.757  0.72
Kissin 1993   12  0.4947  0.0018  0.1512  0.6311  0.7511  0.69
Kushner 1989   24  0.4276  0.0040  0.0742  0.2026  0.4238  0.29
Luisada 1991   5  0.5848  0.004  0.375  0.783  0.805  0.79
Lushtak 2004   76  0.1323  0.0075  0.0478  0.0484  0.0281  0.03
Malcuzynski 1961   28  0.4049  0.0031  0.0825  0.4121  0.4726  0.44
Magaloff 1978   68  0.1977  0.0060  0.0666  0.0678  0.0371  0.04
Magin 1975   4  0.588  0.005  0.344  0.812  0.874  0.84
Michalowski 1933   23  0.4578  0.0020  0.1020  0.564  0.6718  0.61
Milkina 1970   37  0.3835  0.0043  0.0939  0.2113  0.5731  0.35
Mohovich 1999   59  0.2412  0.0049  0.0948  0.0943  0.1648  0.12
Moravec 1969   43  0.3450  0.0045  0.0659  0.0628  0.2847  0.13
Morozova 2008   39  0.376  0.0034  0.1030  0.3535  0.2039  0.26
Neighaus 1950   29  0.4016  0.0042  0.0738  0.2243  0.1246  0.16
Niedzielski 1931   14  0.4836  0.0011  0.1113  0.636  0.6515  0.64
Ohlsson 1999   32  0.4010  0.0025  0.0926  0.3929  0.3132  0.35
Osinska 1989   74  0.1424  0.0072  0.0572  0.0580  0.0370  0.04
Pachmann 1927   54  0.2851  0.0052  0.1046  0.1052  0.0752  0.08
Paderewski 1930   15  0.4825  0.009  0.1415  0.615  0.7313  0.67
Perlemuter 1992   57  0.2526  0.0064  0.0657  0.0658  0.0465  0.05
Pierdomenico 2008   41  0.3579  0.0038  0.0743  0.1918  0.4934  0.31
Poblocka 1999   66  0.2137  0.0065  0.0853  0.0871  0.0459  0.06
Rabcewiczowa 1932   79  0.0980  0.0083  0.0384  0.0368  0.0476  0.03
Rachmaninoff 1923   55  0.279  0.0058  0.0665  0.0649  0.0566  0.05
Rangell 2001   75  0.1481  0.0070  0.0571  0.0578  0.0375  0.04
Richter 1976   10  0.5052  0.0016  0.1014  0.6319  0.7510  0.69
Rosen 1989   60  0.2327  0.0062  0.0662  0.0685  0.0374  0.04
Rosenthal 1930   62  0.2353  0.0059  0.0658  0.0658  0.0568  0.05
Rosenthal 1931   81  0.0782  0.0080  0.0379  0.0372  0.0378  0.03
Rosenthal 1931b   83  0.0783  0.0081  0.0380  0.0381  0.0289  0.02
Rosenthal 1931c   70  0.1784  0.0071  0.0473  0.0478  0.0285  0.03
Rosenthal 1931d   85  0.0585  0.0077  0.0381  0.0376  0.0384  0.03
Rossi 2007   90  -0.1286  0.0090  0.0190  0.0190  0.0190  0.01
Rubinstein 1939   42  0.3413  0.0044  0.0745  0.1321  0.3042  0.20
Rubinstein 1952   36  0.3920  0.0037  0.0734  0.2918  0.5130  0.38
Rubinstein 1966   38  0.3754  0.0039  0.0840  0.2026  0.2741  0.23
Schilhawsky 1960   61  0.2355  0.0063  0.0664  0.0640  0.1751  0.10
Shebanova 2002   6  0.5721  0.006  0.396  0.7612  0.736  0.74
Smith 1975   67  0.2087  0.0073  0.0474  0.0460  0.0572  0.04
Sokolov 2002   35  0.3938  0.0047  0.0854  0.0819  0.4443  0.19
Sztompka 1959   27  0.4088  0.0026  0.0924  0.5026  0.4125  0.45
Tomsic 1995   21  0.467  0.0022  0.1519  0.573  0.6019  0.58
Uninsky 1932   9  0.5239  0.0017  0.1117  0.5814  0.5423  0.56
Uninsky 1971   44  0.345  0.0033  0.0737  0.2532  0.2540  0.25
Wasowski 1980   13  0.4940  0.0013  0.1018  0.5821  0.5522  0.56
Zak 1937   45  0.3356  0.0053  0.0849  0.0841  0.1349  0.10
Zak 1951   46  0.3357  0.0054  0.1344  0.1336  0.2545  0.18
Random 1   86  0.0441  0.0082  0.0287  0.0229  0.2556  0.07
Random 2   84  0.0689  0.0085  0.0385  0.0338  0.1462  0.06
Random 3   89  -0.0590  0.0089  0.0189  0.0170  0.0387  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).