Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6217  0.0110  0.088  0.5013  0.4611  0.48
Anderszewski 2003   63  0.4086  0.0048  0.0555  0.0551  0.0372  0.04
Ashkenazy 1981   8  0.629  0.018  0.089  0.4925  0.3521  0.41
Bacha 2000   82  0.2779  0.0084  0.0385  0.0379  0.0376  0.03
Badura 1965   46  0.4751  0.0039  0.0535  0.2321  0.3726  0.29
Barbosa 1983   59  0.4227  0.0049  0.0649  0.0658  0.0459  0.05
Biret 1990   60  0.4274  0.0067  0.0476  0.0454  0.0475  0.04
Blet 2003   10  0.6152  0.0022  0.0819  0.4317  0.4219  0.42
Block 1995   58  0.434  0.0714  0.0736  0.2232  0.2035  0.21
Blumental 1952   49  0.4722  0.0112  0.1134  0.2810  0.4523  0.35
Boshniakovich 1969   53  0.4575  0.0061  0.0471  0.0473  0.0382  0.03
Brailowsky 1960   83  0.2480  0.0087  0.0383  0.0372  0.0477  0.03
Bunin 1987   13  0.6029  0.0025  0.1320  0.4314  0.4418  0.43
Bunin 1987b   14  0.6030  0.0026  0.1321  0.4214  0.4417  0.43
Chiu 1999   68  0.3759  0.0071  0.0559  0.0567  0.0462  0.04
Cohen 1997   84  0.2337  0.0083  0.0384  0.0371  0.0483  0.03
Cortot 1951   9  0.6166  0.007  0.1114  0.454  0.589  0.51
Csalog 1996   77  0.3045  0.0082  0.0286  0.0276  0.0387  0.02
Czerny 1949   20  0.5981  0.0023  0.1124  0.3919  0.4913  0.44
Czerny 1990   1  0.741  0.371  0.372  0.693  0.651  0.67
Duchoud 2007   29  0.5448  0.0038  0.0733  0.2833  0.2830  0.28
Ezaki 2006   23  0.5770  0.0036  0.0930  0.3155  0.0542  0.12
Falvay 1989   56  0.4482  0.0069  0.0472  0.0470  0.0464  0.04
Farrell 1958   48  0.4764  0.0058  0.0556  0.0540  0.1846  0.09
Ferenczy 1958   28  0.5576  0.0027  0.1526  0.3613  0.4620  0.41
Fliere 1977   6  0.636  0.0415  0.0617  0.4435  0.1828  0.28
Fou 1978   65  0.3838  0.0072  0.0464  0.0477  0.0467  0.04
Francois 1956   40  0.5071  0.0041  0.0544  0.1347  0.0650  0.09
Friedman 1923   61  0.4160  0.0018  0.0827  0.355  0.5615  0.44
Friedman 1923b   62  0.4141  0.0017  0.0628  0.345  0.5814  0.44
Friedman 1930   43  0.4956  0.0019  0.1016  0.448  0.5610  0.50
Garcia 2007   76  0.3142  0.0059  0.0463  0.0412  0.5039  0.14
Garcia 2007b   79  0.2987  0.0065  0.0557  0.0512  0.4240  0.14
Gierzod 1998   42  0.4988  0.0043  0.0640  0.1761  0.0548  0.09
Gornostaeva 1994   32  0.518  0.0334  0.0839  0.1749  0.0549  0.09
Groot 1988   24  0.5710  0.0133  0.0725  0.3734  0.2327  0.29
Harasiewicz 1955   51  0.4634  0.0035  0.0832  0.2847  0.0544  0.12
Hatto 1993   75  0.3353  0.0064  0.0648  0.0660  0.0461  0.05
Hatto 1997   69  0.3663  0.0062  0.0468  0.0448  0.0574  0.04
Horowitz 1949   67  0.3846  0.0075  0.0652  0.0665  0.0457  0.05
Indjic 1988   74  0.3483  0.0063  0.0477  0.0453  0.0571  0.04
Kapell 1951   4  0.6626  0.004  0.205  0.517  0.536  0.52
Kissin 1993   52  0.4618  0.0153  0.0474  0.0458  0.0570  0.04
Kushner 1989   26  0.5632  0.0046  0.0653  0.0645  0.1052  0.08
Luisada 1991   54  0.4440  0.0066  0.0650  0.0670  0.0455  0.05
Lushtak 2004   34  0.5058  0.0040  0.0538  0.2146  0.0645  0.11
Malcuzynski 1961   12  0.6139  0.0030  0.0823  0.4043  0.1233  0.22
Magaloff 1978   44  0.4812  0.0151  0.0561  0.0585  0.0363  0.04
Magin 1975   73  0.3428  0.0077  0.0560  0.0570  0.0366  0.04
Michalowski 1933   27  0.565  0.055  0.194  0.534  0.498  0.51
Milkina 1970   72  0.3467  0.0078  0.0380  0.0376  0.0478  0.03
Mohovich 1999   39  0.5049  0.0047  0.0747  0.0754  0.0554  0.06
Moravec 1969   31  0.5244  0.0042  0.0641  0.1623  0.3132  0.22
Morozova 2008   25  0.563  0.089  0.0818  0.4322  0.2625  0.33
Neighaus 1950   21  0.5819  0.0129  0.0915  0.4557  0.0538  0.15
Niedzielski 1931   64  0.4011  0.0152  0.0469  0.0429  0.1751  0.08
Ohlsson 1999   33  0.5147  0.0050  0.0654  0.0664  0.0458  0.05
Osinska 1989   41  0.5065  0.0055  0.0465  0.0451  0.0656  0.05
Pachmann 1927   81  0.2843  0.0079  0.0475  0.0462  0.0469  0.04
Paderewski 1930   17  0.5916  0.0113  0.1111  0.484  0.547  0.51
Perlemuter 1992   19  0.5924  0.0024  0.116  0.519  0.563  0.53
Pierdomenico 2008   57  0.4454  0.0070  0.0558  0.0560  0.0465  0.04
Poblocka 1999   3  0.6631  0.006  0.167  0.514  0.554  0.53
Rabcewiczowa 1932   16  0.5923  0.0120  0.0712  0.4710  0.595  0.53
Rachmaninoff 1923   47  0.4714  0.0131  0.0831  0.2928  0.2729  0.28
Rangell 2001   66  0.3862  0.0076  0.0462  0.0481  0.0384  0.03
Richter 1976   37  0.5025  0.0054  0.0470  0.0441  0.1553  0.08
Rosen 1989   35  0.5077  0.0056  0.0651  0.0665  0.0460  0.05
Rosenthal 1930   36  0.5021  0.0137  0.0737  0.2215  0.5224  0.34
Rosenthal 1931   85  0.1989  0.0080  0.0478  0.0464  0.0380  0.03
Rosenthal 1931b   87  0.1768  0.0081  0.0382  0.0386  0.0291  0.02
Rosenthal 1931c   50  0.4650  0.0057  0.0746  0.0733  0.2541  0.13
Rosenthal 1931d   86  0.1772  0.0086  0.0287  0.0285  0.0290  0.02
Rossi 2007   80  0.2835  0.0060  0.0473  0.0416  0.3443  0.12
Rubinstein 1939   88  0.1490  0.0088  0.0288  0.0284  0.0386  0.02
Rubinstein 1952   78  0.2961  0.0085  0.0381  0.0377  0.0385  0.03
Rubinstein 1966   55  0.4469  0.0068  0.0466  0.0462  0.0573  0.04
Schilhawsky 1960   45  0.4791  0.0044  0.0743  0.1541  0.1736  0.16
Shebanova 2002   30  0.5215  0.0116  0.0842  0.1664  0.0547  0.09
Smith 1975   15  0.6020  0.0121  0.0810  0.4819  0.3816  0.43
Sokolov 2002   11  0.6178  0.0028  0.1122  0.4125  0.3622  0.38
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   22  0.5833  0.0032  0.0729  0.3334  0.1831  0.24
Uninsky 1932   5  0.642  0.112  0.213  0.583  0.652  0.61
Uninsky 1971   18  0.5936  0.0011  0.0813  0.4614  0.4712  0.46
Wasowski 1980   38  0.5013  0.0145  0.0645  0.1134  0.2137  0.15
Zak 1937   70  0.3557  0.0074  0.0467  0.0472  0.0468  0.04
Zak 1951   71  0.3573  0.0073  0.0379  0.0380  0.0379  0.03
Average   2  0.717  0.043  0.201  0.7148  0.0634  0.21
Random 1   91  -0.0355  0.0090  0.0190  0.0138  0.1181  0.03
Random 2   90  -0.0384  0.0089  0.0289  0.0262  0.0388  0.02
Random 3   89  0.0185  0.0091  0.0191  0.0170  0.0389  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).