Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.3832  0.0026  0.0832  0.3416  0.5127  0.42
Anderszewski 2003   71  0.3170  0.0045  0.0645  0.1241  0.2444  0.17
Ashkenazy 1981   9  0.5016  0.0014  0.1813  0.6114  0.628  0.61
Bacha 2000   83  0.2481  0.0082  0.0483  0.0468  0.0473  0.04
Badura 1965   77  0.2971  0.0073  0.0471  0.0458  0.0482  0.04
Barbosa 1983   41  0.3829  0.0040  0.0738  0.2840  0.2038  0.24
Biret 1990   84  0.2382  0.0085  0.0477  0.0483  0.0388  0.03
Blet 2003   47  0.3723  0.0057  0.0565  0.0542  0.1758  0.09
Block 1995   25  0.4139  0.0017  0.1518  0.5510  0.6112  0.58
Blumental 1952   57  0.3431  0.0046  0.0746  0.0740  0.1755  0.11
Boshniakovich 1969   32  0.4041  0.0038  0.0833  0.3341  0.1739  0.24
Brailowsky 1960   80  0.2578  0.0078  0.0481  0.0469  0.0575  0.04
Bunin 1987   51  0.3613  0.0062  0.0561  0.0549  0.0670  0.05
Bunin 1987b   56  0.3414  0.0063  0.0559  0.0552  0.0567  0.05
Chiu 1999   28  0.4136  0.0031  0.0635  0.3223  0.3030  0.31
Cohen 1997   70  0.3144  0.0075  0.0475  0.0456  0.0585  0.04
Cortot 1951   61  0.3366  0.0048  0.0747  0.0716  0.5443  0.19
Csalog 1996   76  0.2949  0.0077  0.0566  0.0566  0.0568  0.05
Czerny 1949   50  0.3650  0.0059  0.0567  0.0536  0.3551  0.13
Czerny 1990   2  0.632  0.192  0.562  0.882  0.861  0.87
Duchoud 2007   75  0.2974  0.0076  0.0468  0.0464  0.0581  0.04
Ezaki 2006   64  0.3272  0.0069  0.0479  0.0462  0.0572  0.04
Falvay 1989   59  0.3379  0.0072  0.0476  0.0471  0.0476  0.04
Farrell 1958   44  0.3857  0.0042  0.0743  0.2224  0.3735  0.29
Ferenczy 1958   88  0.1643  0.0088  0.0385  0.0376  0.0487  0.03
Fliere 1977   5  0.5534  0.005  0.184  0.7913  0.585  0.68
Fou 1978   16  0.4730  0.0019  0.1615  0.5820  0.5016  0.54
Francois 1956   78  0.2884  0.0080  0.0482  0.0466  0.0486  0.04
Friedman 1923   34  0.4027  0.0028  0.0827  0.3815  0.6021  0.48
Friedman 1923b   31  0.405  0.0124  0.0824  0.4210  0.6419  0.52
Friedman 1930   45  0.3848  0.0039  0.0741  0.2427  0.3833  0.30
Garcia 2007   65  0.3288  0.0047  0.0749  0.0726  0.3347  0.15
Garcia 2007b   52  0.3551  0.0050  0.0558  0.0528  0.2752  0.12
Gierzod 1998   49  0.3654  0.0041  0.0940  0.2539  0.1640  0.20
Gornostaeva 1994   55  0.3568  0.0066  0.0564  0.0554  0.0671  0.05
Groot 1988   22  0.4237  0.0022  0.1122  0.4728  0.3628  0.41
Harasiewicz 1955   13  0.497  0.017  0.169  0.6720  0.4815  0.57
Hatto 1993   30  0.4142  0.0015  0.1217  0.5626  0.3822  0.46
Hatto 1997   58  0.3418  0.0034  0.0639  0.2640  0.1442  0.19
Horowitz 1949   37  0.3919  0.0053  0.0560  0.0524  0.5045  0.16
Indjic 1988   36  0.3933  0.0016  0.1220  0.5128  0.3825  0.44
Kapell 1951   24  0.4164  0.0032  0.0729  0.3871  0.0549  0.14
Kissin 1993   4  0.5610  0.014  0.383  0.794  0.852  0.82
Kushner 1989   8  0.5115  0.0013  0.2111  0.6620  0.4517  0.54
Luisada 1991   35  0.4085  0.0056  0.0562  0.0548  0.0862  0.06
Lushtak 2004   68  0.3145  0.0070  0.0478  0.0470  0.0483  0.04
Malcuzynski 1961   11  0.506  0.0112  0.1812  0.6417  0.5113  0.57
Magaloff 1978   20  0.4320  0.0037  0.0936  0.3234  0.2536  0.28
Magin 1975   39  0.3947  0.0060  0.0650  0.0649  0.0663  0.06
Michalowski 1933   72  0.3165  0.0064  0.0472  0.0429  0.3354  0.11
Milkina 1970   53  0.3563  0.0043  0.1042  0.2343  0.1541  0.19
Mohovich 1999   69  0.3124  0.0058  0.0652  0.0652  0.0569  0.05
Moravec 1969   27  0.4152  0.0035  0.0630  0.3732  0.3129  0.34
Morozova 2008   14  0.484  0.0710  0.1714  0.6013  0.5414  0.57
Neighaus 1950   15  0.4712  0.0018  0.1616  0.585  0.6010  0.59
Niedzielski 1931   29  0.4117  0.0029  0.0825  0.3912  0.5123  0.45
Ohlsson 1999   21  0.438  0.0130  0.0731  0.3735  0.2532  0.30
Osinska 1989   67  0.3255  0.0071  0.0563  0.0579  0.0374  0.04
Pachmann 1927   63  0.3326  0.0074  0.0469  0.0459  0.0579  0.04
Paderewski 1930   46  0.3846  0.0033  0.0637  0.309  0.6126  0.43
Perlemuter 1992   17  0.4653  0.0025  0.0826  0.394  0.6420  0.50
Pierdomenico 2008   40  0.3961  0.0054  0.0654  0.0625  0.3746  0.15
Poblocka 1999   10  0.5011  0.009  0.206  0.725  0.656  0.68
Rabcewiczowa 1932   60  0.3335  0.0051  0.0555  0.0547  0.0764  0.06
Rachmaninoff 1923   26  0.4128  0.0021  0.0919  0.5111  0.5518  0.53
Rangell 2001   38  0.3938  0.0049  0.0748  0.0736  0.3448  0.15
Richter 1976   3  0.593  0.153  0.325  0.787  0.753  0.76
Rosen 1989   23  0.4276  0.0036  0.0734  0.3346  0.0650  0.14
Rosenthal 1930   48  0.3767  0.0044  0.0844  0.1619  0.5834  0.30
Rosenthal 1931   85  0.2059  0.0083  0.0384  0.0353  0.0580  0.04
Rosenthal 1931b   86  0.1756  0.0086  0.0387  0.0360  0.0490  0.03
Rosenthal 1931c   74  0.3086  0.0068  0.0480  0.0442  0.1659  0.08
Rosenthal 1931d   87  0.1783  0.0087  0.0386  0.0376  0.0389  0.03
Rossi 2007   81  0.2569  0.0081  0.0474  0.0433  0.2853  0.11
Rubinstein 1939   54  0.3573  0.0052  0.0651  0.0644  0.0860  0.07
Rubinstein 1952   18  0.4522  0.0020  0.0923  0.4731  0.4324  0.45
Rubinstein 1966   19  0.4460  0.0023  0.1021  0.4839  0.1537  0.27
Schilhawsky 1960   73  0.3158  0.0061  0.0557  0.0543  0.1161  0.07
Shebanova 2002   7  0.5225  0.0011  0.1510  0.6714  0.549  0.60
Smith 1975   66  0.3280  0.0067  0.0556  0.0554  0.0666  0.05
Sokolov 2002   62  0.3387  0.0065  0.0470  0.0447  0.0665  0.05
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   42  0.3840  0.0055  0.0653  0.0644  0.1357  0.09
Uninsky 1932   12  0.4921  0.008  0.157  0.707  0.694  0.69
Uninsky 1971   33  0.4062  0.0027  0.0928  0.3835  0.2631  0.31
Wasowski 1980   6  0.539  0.016  0.278  0.679  0.607  0.63
Zak 1937   79  0.2890  0.0079  0.0473  0.0470  0.0477  0.04
Zak 1951   82  0.2475  0.0084  0.0388  0.0362  0.0578  0.04
Average   1  0.641  0.461  0.461  0.8926  0.3811  0.58
Random 1   89  0.0277  0.0089  0.0289  0.029  0.4756  0.10
Random 2   90  0.0091  0.0090  0.0190  0.0151  0.0591  0.02
Random 3   91  -0.0189  0.0091  0.0191  0.0138  0.1684  0.04

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).