Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.628  0.029  0.087  0.5012  0.4611  0.48
Anderszewski 2003   62  0.4085  0.0047  0.0654  0.0650  0.0371  0.04
Ashkenazy 1981   7  0.629  0.017  0.088  0.4924  0.3521  0.41
Bacha 2000   81  0.2778  0.0083  0.0384  0.0378  0.0375  0.03
Badura 1965   45  0.4738  0.0038  0.0534  0.2320  0.3726  0.29
Barbosa 1983   58  0.4228  0.0048  0.0648  0.0657  0.0558  0.05
Biret 1990   59  0.4275  0.0066  0.0475  0.0453  0.0574  0.04
Blet 2003   9  0.6152  0.0021  0.0818  0.4316  0.4219  0.42
Block 1995   57  0.434  0.0713  0.0735  0.2231  0.2034  0.21
Blumental 1952   48  0.4722  0.0111  0.1233  0.289  0.4523  0.35
Boshniakovich 1969   52  0.4576  0.0060  0.0470  0.0472  0.0381  0.03
Brailowsky 1960   82  0.2479  0.0086  0.0382  0.0371  0.0476  0.03
Bunin 1987   12  0.6029  0.0024  0.1319  0.4313  0.4418  0.43
Bunin 1987b   13  0.6030  0.0025  0.1320  0.4213  0.4417  0.43
Chiu 1999   67  0.3761  0.0070  0.0558  0.0566  0.0461  0.04
Cohen 1997   83  0.2339  0.0082  0.0383  0.0370  0.0482  0.03
Cortot 1951   8  0.6168  0.006  0.1113  0.453  0.589  0.51
Csalog 1996   76  0.3045  0.0081  0.0285  0.0275  0.0386  0.02
Czerny 1949   19  0.5980  0.0022  0.1123  0.3918  0.4913  0.44
Czerny 1990   1  0.741  0.381  0.381  0.692  0.651  0.67
Duchoud 2007   28  0.5450  0.0037  0.0732  0.2832  0.2830  0.28
Ezaki 2006   22  0.5771  0.0035  0.0929  0.3154  0.0541  0.12
Falvay 1989   55  0.4481  0.0068  0.0471  0.0469  0.0463  0.04
Farrell 1958   47  0.4765  0.0057  0.0555  0.0539  0.1845  0.09
Ferenczy 1958   27  0.5577  0.0026  0.1525  0.3612  0.4620  0.41
Fliere 1977   5  0.636  0.0514  0.0716  0.4434  0.1828  0.28
Fou 1978   64  0.3841  0.0071  0.0463  0.0476  0.0466  0.04
Francois 1956   39  0.5072  0.0040  0.0543  0.1346  0.0649  0.09
Friedman 1923   60  0.4157  0.0017  0.0826  0.355  0.5615  0.44
Friedman 1923b   61  0.4136  0.0016  0.0627  0.345  0.5814  0.44
Friedman 1930   42  0.4953  0.0018  0.1015  0.447  0.5610  0.50
Garcia 2007   75  0.3143  0.0058  0.0462  0.0411  0.5038  0.14
Garcia 2007b   78  0.2986  0.0064  0.0556  0.0511  0.4239  0.14
Gierzod 1998   41  0.4987  0.0042  0.0639  0.1760  0.0547  0.09
Gornostaeva 1994   31  0.517  0.0433  0.0838  0.1748  0.0548  0.09
Groot 1988   23  0.5710  0.0132  0.0724  0.3733  0.2327  0.29
Harasiewicz 1955   50  0.4633  0.0034  0.0831  0.2846  0.0543  0.12
Hatto 1993   74  0.3354  0.0063  0.0647  0.0659  0.0460  0.05
Hatto 1997   68  0.3663  0.0061  0.0467  0.0447  0.0573  0.04
Horowitz 1949   66  0.3847  0.0074  0.0651  0.0664  0.0456  0.05
Indjic 1988   73  0.3482  0.0062  0.0476  0.0452  0.0570  0.04
Kapell 1951   3  0.6620  0.013  0.204  0.516  0.536  0.52
Kissin 1993   51  0.4617  0.0152  0.0473  0.0457  0.0569  0.04
Kushner 1989   25  0.5631  0.0045  0.0652  0.0644  0.1051  0.08
Luisada 1991   53  0.4442  0.0065  0.0649  0.0669  0.0454  0.05
Lushtak 2004   33  0.5059  0.0039  0.0537  0.2145  0.0644  0.11
Malcuzynski 1961   11  0.6134  0.0029  0.0822  0.4042  0.1233  0.22
Magaloff 1978   43  0.4813  0.0150  0.0560  0.0584  0.0362  0.04
Magin 1975   72  0.3427  0.0076  0.0559  0.0569  0.0365  0.04
Michalowski 1933   26  0.565  0.054  0.193  0.533  0.498  0.51
Milkina 1970   71  0.3469  0.0077  0.0379  0.0375  0.0477  0.03
Mohovich 1999   38  0.5051  0.0046  0.0746  0.0753  0.0553  0.06
Moravec 1969   30  0.5248  0.0041  0.0640  0.1622  0.3132  0.22
Morozova 2008   24  0.563  0.088  0.0817  0.4321  0.2625  0.33
Neighaus 1950   20  0.5818  0.0128  0.0914  0.4556  0.0537  0.15
Niedzielski 1931   63  0.4011  0.0151  0.0468  0.0428  0.1750  0.08
Ohlsson 1999   32  0.5149  0.0049  0.0653  0.0663  0.0457  0.05
Osinska 1989   40  0.5066  0.0054  0.0464  0.0450  0.0655  0.05
Pachmann 1927   80  0.2844  0.0078  0.0474  0.0461  0.0468  0.04
Paderewski 1930   16  0.5916  0.0112  0.1110  0.483  0.547  0.51
Perlemuter 1992   18  0.5925  0.0023  0.115  0.518  0.563  0.53
Pierdomenico 2008   56  0.4455  0.0069  0.0557  0.0559  0.0464  0.04
Poblocka 1999   2  0.6626  0.005  0.166  0.513  0.554  0.53
Rabcewiczowa 1932   15  0.5923  0.0119  0.0711  0.479  0.595  0.53
Rachmaninoff 1923   46  0.4714  0.0130  0.0830  0.2927  0.2729  0.28
Rangell 2001   65  0.3864  0.0075  0.0461  0.0480  0.0383  0.03
Richter 1976   36  0.5024  0.0053  0.0469  0.0440  0.1552  0.08
Rosen 1989   34  0.5060  0.0055  0.0650  0.0664  0.0459  0.05
Rosenthal 1930   35  0.5021  0.0136  0.0736  0.2214  0.5224  0.34
Rosenthal 1931   84  0.1988  0.0079  0.0477  0.0463  0.0379  0.03
Rosenthal 1931b   86  0.1770  0.0080  0.0381  0.0385  0.0290  0.02
Rosenthal 1931c   49  0.4640  0.0056  0.0745  0.0732  0.2540  0.13
Rosenthal 1931d   85  0.1773  0.0085  0.0286  0.0284  0.0289  0.02
Rossi 2007   79  0.2837  0.0059  0.0472  0.0416  0.3442  0.12
Rubinstein 1939   87  0.1489  0.0087  0.0287  0.0283  0.0385  0.02
Rubinstein 1952   77  0.2962  0.0084  0.0380  0.0376  0.0384  0.03
Rubinstein 1966   54  0.4467  0.0067  0.0465  0.0461  0.0572  0.04
Schilhawsky 1960   44  0.4790  0.0043  0.0742  0.1540  0.1735  0.16
Shebanova 2002   29  0.5215  0.0115  0.0841  0.1663  0.0546  0.09
Smith 1975   14  0.6019  0.0120  0.089  0.4818  0.3816  0.43
Sokolov 2002   10  0.6146  0.0027  0.1121  0.4124  0.3622  0.38
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   21  0.5832  0.0031  0.0728  0.3333  0.1831  0.24
Uninsky 1932   4  0.642  0.122  0.242  0.582  0.652  0.61
Uninsky 1971   17  0.5935  0.0010  0.0812  0.4613  0.4712  0.46
Wasowski 1980   37  0.5012  0.0144  0.0644  0.1133  0.2136  0.15
Zak 1937   69  0.3558  0.0073  0.0466  0.0471  0.0467  0.04
Zak 1951   70  0.3574  0.0072  0.0378  0.0379  0.0378  0.03
Random 1   90  -0.0356  0.0089  0.0189  0.0138  0.1180  0.03
Random 2   89  -0.0383  0.0088  0.0288  0.0263  0.0387  0.02
Random 3   88  0.0184  0.0090  0.0190  0.0170  0.0388  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).