Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.3323  0.0068  0.0471  0.0454  0.0574  0.04
Anderszewski 2003   24  0.487  0.038  0.1616  0.5923  0.4912  0.54
Ashkenazy 1981   39  0.4124  0.0049  0.0550  0.0535  0.2145  0.10
Bacha 2000   66  0.3375  0.0067  0.0464  0.0442  0.1849  0.08
Badura 1965   78  0.2954  0.0073  0.0556  0.0562  0.0565  0.05
Barbosa 1983   19  0.4983  0.0022  0.1822  0.5337  0.2225  0.34
Biret 1990   54  0.3729  0.0036  0.0737  0.2861  0.0542  0.12
Blet 2003   68  0.3372  0.0071  0.0560  0.0560  0.0563  0.05
Block 1995   52  0.3776  0.0037  0.0835  0.3133  0.2632  0.28
Blumental 1952   46  0.3917  0.0138  0.0840  0.2260  0.0543  0.10
Boshniakovich 1969   23  0.4864  0.0021  0.1320  0.5536  0.2224  0.35
Brailowsky 1960   47  0.3961  0.0042  0.0938  0.2338  0.2534  0.24
Bunin 1987   74  0.3073  0.0081  0.0383  0.0385  0.0384  0.03
Bunin 1987b   79  0.2753  0.0082  0.0385  0.0373  0.0480  0.03
Chiu 1999   59  0.3647  0.0058  0.0474  0.0459  0.0568  0.04
Cohen 1997   77  0.2977  0.0077  0.0476  0.0467  0.0477  0.04
Cortot 1951   31  0.4321  0.0118  0.1224  0.475  0.6710  0.56
Csalog 1996   81  0.2578  0.0080  0.0381  0.0369  0.0481  0.03
Czerny 1949   1  0.645  0.063  0.173  0.7810  0.702  0.74
Czerny 1990   3  0.631  0.251  0.252  0.7914  0.693  0.74
Duchoud 2007   86  0.2189  0.0086  0.0386  0.0372  0.0382  0.03
Ezaki 2006   34  0.4384  0.0047  0.0746  0.0755  0.0656  0.06
Falvay 1989   35  0.4379  0.0052  0.0465  0.0462  0.0470  0.04
Farrell 1958   21  0.4925  0.0020  0.1613  0.6315  0.567  0.59
Ferenczy 1958   63  0.3485  0.0075  0.0549  0.0546  0.0858  0.06
Fliere 1977   27  0.4569  0.0031  0.0928  0.4363  0.0538  0.15
Fou 1978   20  0.4930  0.0014  0.1417  0.5716  0.4514  0.51
Francois 1956   44  0.4036  0.0044  0.0543  0.1126  0.3036  0.18
Friedman 1923   72  0.3249  0.0062  0.0469  0.0461  0.0578  0.04
Friedman 1923b   70  0.3213  0.0157  0.0555  0.0541  0.1848  0.09
Friedman 1930   73  0.3162  0.0063  0.0554  0.0554  0.0664  0.05
Garcia 2007   71  0.3280  0.0066  0.0466  0.0441  0.1752  0.08
Garcia 2007b   61  0.3435  0.0056  0.0557  0.0559  0.0566  0.05
Gierzod 1998   7  0.5720  0.0111  0.1415  0.5935  0.3318  0.44
Gornostaeva 1994   42  0.4031  0.0060  0.0467  0.0474  0.0385  0.03
Groot 1988   82  0.2555  0.0070  0.0473  0.0481  0.0387  0.03
Harasiewicz 1955   6  0.598  0.035  0.2112  0.6324  0.548  0.58
Hatto 1993   49  0.3833  0.0023  0.1129  0.4141  0.1933  0.28
Hatto 1997   55  0.3741  0.0027  0.1032  0.3743  0.1035  0.19
Horowitz 1949   69  0.3265  0.0076  0.0562  0.0542  0.1451  0.08
Indjic 1988   50  0.3814  0.0124  0.1430  0.4139  0.2029  0.29
Kapell 1951   22  0.4939  0.0025  0.1021  0.5340  0.2026  0.33
Kissin 1993   4  0.619  0.024  0.204  0.764  0.771  0.76
Kushner 1989   8  0.5615  0.019  0.175  0.7030  0.3615  0.50
Luisada 1991   57  0.3648  0.0072  0.0563  0.0558  0.0559  0.05
Lushtak 2004   30  0.4445  0.0032  0.0833  0.3647  0.0639  0.15
Malcuzynski 1961   16  0.5311  0.0119  0.1219  0.5637  0.2920  0.40
Magaloff 1978   38  0.4144  0.0040  0.0741  0.2151  0.0741  0.12
Magin 1975   41  0.4119  0.0148  0.0475  0.0481  0.0379  0.03
Michalowski 1933   85  0.2256  0.0083  0.0382  0.0344  0.0962  0.05
Milkina 1970   9  0.5534  0.0012  0.1614  0.6234  0.3216  0.45
Mohovich 1999   56  0.3751  0.0050  0.0470  0.0484  0.0383  0.03
Moravec 1969   53  0.3782  0.0065  0.0551  0.0572  0.0467  0.04
Morozova 2008   18  0.5027  0.0028  0.0926  0.4732  0.2723  0.36
Neighaus 1950   13  0.5412  0.0117  0.147  0.681  0.734  0.70
Niedzielski 1931   62  0.3443  0.0061  0.0548  0.0537  0.1450  0.08
Ohlsson 1999   29  0.4518  0.0133  0.0934  0.3437  0.2628  0.30
Osinska 1989   26  0.4781  0.0026  0.1025  0.4754  0.0637  0.17
Pachmann 1927   83  0.2557  0.0085  0.0287  0.0264  0.0390  0.02
Paderewski 1930   64  0.3452  0.0039  0.0642  0.209  0.5327  0.33
Perlemuter 1992   40  0.4163  0.0055  0.0558  0.0532  0.2740  0.12
Pierdomenico 2008   67  0.3386  0.0074  0.0468  0.0460  0.0571  0.04
Poblocka 1999   15  0.5310  0.0210  0.159  0.6621  0.479  0.56
Rabcewiczowa 1932   43  0.4058  0.0041  0.0839  0.2267  0.0447  0.09
Rachmaninoff 1923   76  0.3037  0.0069  0.0479  0.0455  0.0569  0.04
Rangell 2001   17  0.5166  0.0029  0.1027  0.4422  0.4419  0.44
Richter 1976   5  0.603  0.096  0.258  0.6611  0.635  0.64
Rosen 1989   37  0.4246  0.0051  0.0561  0.0561  0.0476  0.04
Rosenthal 1930   75  0.3059  0.0078  0.0477  0.0455  0.0575  0.04
Rosenthal 1931   84  0.2467  0.0084  0.0478  0.0453  0.0573  0.04
Rosenthal 1931b   87  0.1970  0.0087  0.0380  0.0366  0.0488  0.03
Rosenthal 1931c   80  0.2690  0.0079  0.0288  0.0274  0.0489  0.03
Rosenthal 1931d   88  0.1887  0.0088  0.0384  0.0373  0.0486  0.03
Rossi 2007   60  0.3560  0.0059  0.0472  0.0442  0.1154  0.07
Rubinstein 1939   25  0.4771  0.0030  0.1323  0.4832  0.3221  0.39
Rubinstein 1952   11  0.554  0.0616  0.1310  0.6434  0.3117  0.45
Rubinstein 1966   10  0.5516  0.0113  0.176  0.6935  0.3913  0.52
Schilhawsky 1960   28  0.4532  0.0034  0.1131  0.3841  0.2130  0.28
Shebanova 2002   33  0.4368  0.0045  0.0544  0.1152  0.0555  0.07
Smith 1975   51  0.3842  0.0043  0.0545  0.1048  0.0846  0.09
Sokolov 2002   48  0.3928  0.0053  0.0559  0.0548  0.0660  0.05
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   58  0.3650  0.0064  0.0553  0.0570  0.0561  0.05
Uninsky 1932   32  0.4340  0.0035  0.0936  0.3026  0.4922  0.38
Uninsky 1971   14  0.5438  0.0015  0.1611  0.6311  0.596  0.61
Wasowski 1980   12  0.556  0.047  0.1218  0.5711  0.5411  0.55
Zak 1937   36  0.4226  0.0046  0.0647  0.0649  0.0657  0.06
Zak 1951   45  0.3922  0.0154  0.0552  0.0586  0.0372  0.04
Average   2  0.632  0.232  0.351  0.8146  0.1031  0.28
Random 1   90  0.0091  0.0090  0.0290  0.0223  0.3453  0.08
Random 2   89  0.0188  0.0091  0.0191  0.0173  0.0391  0.02
Random 3   91  0.0074  0.0089  0.0289  0.027  0.4744  0.10

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).