Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.2750  0.0048  0.0551  0.0544  0.0952  0.07
Anderszewski 2003   6  0.5651  0.005  0.248  0.507  0.537  0.51
Ashkenazy 1981   3  0.6622  0.003  0.473  0.812  0.663  0.73
Bacha 2000   14  0.453  0.0034  0.0535  0.1816  0.4719  0.29
Badura 1965   78  0.2235  0.0060  0.0647  0.0658  0.0461  0.05
Barbosa 1983   30  0.386  0.0011  0.1014  0.3829  0.3811  0.38
Biret 1990   19  0.4336  0.0022  0.0717  0.3635  0.2223  0.28
Blet 2003   11  0.4852  0.0014  0.1613  0.3920  0.3712  0.38
Block 1995   86  0.1353  0.0078  0.0286  0.0270  0.0387  0.02
Blumental 1952   20  0.4354  0.0023  0.0728  0.2418  0.3322  0.28
Boshniakovich 1969   74  0.247  0.0074  0.0469  0.0476  0.0380  0.03
Brailowsky 1960   66  0.2755  0.0069  0.0378  0.0367  0.0475  0.03
Bunin 1987   18  0.4356  0.0025  0.1018  0.3635  0.1925  0.26
Bunin 1987b   16  0.4457  0.0024  0.0916  0.3635  0.1924  0.26
Chiu 1999   23  0.4137  0.0015  0.1019  0.3427  0.3914  0.36
Cohen 1997   67  0.2738  0.0070  0.0283  0.0237  0.1563  0.05
Cortot 1951   77  0.2339  0.0081  0.0285  0.0270  0.0389  0.02
Csalog 1996   64  0.2723  0.0051  0.0553  0.0530  0.2938  0.12
Czerny 1949   84  0.1958  0.0072  0.0370  0.0365  0.0378  0.03
Czerny 1990   36  0.3717  0.0028  0.0623  0.2843  0.1131  0.18
Duchoud 2007   7  0.5624  0.007  0.266  0.5311  0.498  0.51
Ezaki 2006   39  0.3640  0.0030  0.0626  0.2544  0.0835  0.14
Falvay 1989   40  0.364  0.0050  0.0465  0.0452  0.0565  0.04
Farrell 1958   60  0.2925  0.0084  0.0373  0.0364  0.0376  0.03
Ferenczy 1958   63  0.2859  0.0046  0.0464  0.0435  0.1649  0.08
Fliere 1977   21  0.4260  0.0029  0.0727  0.2442  0.1134  0.16
Fou 1978   34  0.3741  0.0057  0.0466  0.0457  0.0566  0.04
Francois 1956   82  0.1918  0.0068  0.0372  0.0355  0.0484  0.03
Friedman 1923   73  0.2542  0.0080  0.0382  0.0349  0.0673  0.04
Friedman 1923b   71  0.2661  0.0079  0.0287  0.0249  0.0681  0.03
Friedman 1930   49  0.3226  0.0038  0.0636  0.1745  0.0739  0.11
Garcia 2007   69  0.2643  0.0073  0.0371  0.0347  0.0669  0.04
Garcia 2007b   48  0.3210  0.0037  0.0534  0.185  0.5416  0.31
Gierzod 1998   29  0.3962  0.0040  0.0933  0.2127  0.1929  0.20
Gornostaeva 1994   80  0.2163  0.0075  0.0381  0.0384  0.0288  0.02
Groot 1988   47  0.3344  0.0055  0.0550  0.0576  0.0371  0.04
Harasiewicz 1955   57  0.3045  0.0019  0.0725  0.2764  0.0441  0.10
Hatto 1993   1  0.981  0.991  0.971  0.991  0.991  0.99
Hatto 1997   2  0.942  0.002  0.902  0.961  0.952  0.95
Horowitz 1949   42  0.3519  0.0054  0.0560  0.0552  0.0560  0.05
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   9  0.4964  0.0010  0.107  0.5325  0.419  0.47
Kissin 1993   51  0.3165  0.0052  0.0467  0.0440  0.1848  0.08
Kushner 1989   33  0.3732  0.0045  0.0559  0.0545  0.0659  0.05
Luisada 1991   4  0.5866  0.004  0.244  0.692  0.674  0.68
Lushtak 2004   24  0.4127  0.0031  0.0632  0.2264  0.0445  0.09
Malcuzynski 1961   32  0.3867  0.0053  0.0555  0.0566  0.0467  0.04
Magaloff 1978   56  0.3068  0.0063  0.0554  0.0564  0.0364  0.04
Magin 1975   8  0.5513  0.008  0.3110  0.475  0.566  0.51
Michalowski 1933   43  0.3528  0.0016  0.1015  0.3721  0.3813  0.37
Milkina 1970   28  0.3969  0.0056  0.0463  0.0445  0.0857  0.06
Mohovich 1999   55  0.308  0.0061  0.0557  0.0542  0.1450  0.08
Moravec 1969   50  0.3270  0.0049  0.0548  0.0545  0.0755  0.06
Morozova 2008   17  0.4429  0.0013  0.1222  0.3039  0.1230  0.19
Neighaus 1950   22  0.4233  0.0036  0.0538  0.1581  0.0354  0.07
Niedzielski 1931   59  0.3046  0.0033  0.0637  0.1623  0.2427  0.20
Ohlsson 1999   5  0.585  0.006  0.185  0.566  0.505  0.53
Osinska 1989   81  0.2030  0.0071  0.0375  0.0379  0.0474  0.03
Pachmann 1927   70  0.2671  0.0065  0.0549  0.0538  0.1544  0.09
Paderewski 1930   52  0.3172  0.0059  0.0556  0.0532  0.1843  0.09
Perlemuter 1992   79  0.2214  0.0077  0.0284  0.0285  0.0285  0.02
Pierdomenico 2008   62  0.2873  0.0058  0.0558  0.0546  0.0658  0.05
Poblocka 1999   27  0.4074  0.0018  0.0811  0.4132  0.2217  0.30
Rabcewiczowa 1932   85  0.1875  0.0082  0.0376  0.0380  0.0286  0.02
Rachmaninoff 1923   58  0.3047  0.0044  0.0544  0.0960  0.0456  0.06
Rangell 2001   61  0.2876  0.0067  0.0561  0.0541  0.1646  0.09
Richter 1976   37  0.3677  0.0042  0.0542  0.1337  0.1636  0.14
Rosen 1989   53  0.3031  0.0066  0.0745  0.0749  0.0462  0.05
Rosenthal 1930   54  0.3078  0.0062  0.0562  0.0560  0.0470  0.04
Rosenthal 1931   76  0.2379  0.0085  0.0380  0.0367  0.0377  0.03
Rosenthal 1931b   75  0.2380  0.0086  0.0468  0.0460  0.0472  0.04
Rosenthal 1931c   68  0.2781  0.0083  0.0374  0.0379  0.0383  0.03
Rosenthal 1931d   83  0.1982  0.0076  0.0379  0.0368  0.0482  0.03
Rossi 2007   90  -0.1683  0.0090  0.0190  0.0188  0.0190  0.01
Rubinstein 1939   15  0.4520  0.0020  0.0629  0.2414  0.4315  0.32
Rubinstein 1952   72  0.2548  0.0064  0.0646  0.0639  0.1347  0.09
Rubinstein 1966   13  0.4511  0.0039  0.0639  0.1532  0.2828  0.20
Schilhawsky 1960   44  0.3449  0.0027  0.1024  0.2835  0.2126  0.24
Shebanova 2002   12  0.4615  0.009  0.159  0.4825  0.3810  0.43
Smith 1975   41  0.3584  0.0021  0.0631  0.2265  0.0442  0.09
Sokolov 2002   10  0.4885  0.0012  0.0920  0.3433  0.2718  0.30
Sztompka 1959   46  0.3486  0.0047  0.0552  0.0576  0.0468  0.04
Tomsic 1995   25  0.4016  0.0043  0.0543  0.1049  0.0551  0.07
Uninsky 1932   38  0.3612  0.0032  0.0530  0.2344  0.0937  0.14
Uninsky 1971   31  0.389  0.0026  0.1012  0.4039  0.2121  0.29
Wasowski 1980   26  0.4021  0.0017  0.1021  0.3328  0.2520  0.29
Zak 1937   35  0.3787  0.0041  0.0741  0.1337  0.2132  0.17
Zak 1951   45  0.3434  0.0035  0.0640  0.1539  0.1933  0.17
Random 1   89  0.0088  0.0089  0.0189  0.0140  0.1079  0.03
Random 2   88  0.0689  0.0087  0.0377  0.039  0.3940  0.11
Random 3   87  0.0990  0.0088  0.0288  0.0229  0.2653  0.07

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).