Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.7269  0.0018  0.1117  0.3912  0.3720  0.38
Anderszewski 2003   48  0.5171  0.0042  0.0641  0.1458  0.0446  0.07
Ashkenazy 1981   27  0.6437  0.0028  0.0821  0.3736  0.1428  0.23
Bacha 2000   75  0.3287  0.0084  0.0280  0.0276  0.0378  0.02
Badura 1965   38  0.5730  0.0130  0.0930  0.3021  0.3325  0.31
Barbosa 1983   46  0.5276  0.0040  0.0638  0.1642  0.1832  0.17
Biret 1990   33  0.6047  0.0043  0.0642  0.1462  0.0447  0.07
Blet 2003   8  0.7581  0.0011  0.1115  0.4110  0.4216  0.41
Block 1995   67  0.397  0.0334  0.0840  0.1540  0.1134  0.13
Blumental 1952   45  0.5329  0.0113  0.1132  0.284  0.4321  0.35
Boshniakovich 1969   50  0.5033  0.0058  0.0470  0.0474  0.0376  0.03
Brailowsky 1960   79  0.2988  0.0085  0.0287  0.0288  0.0279  0.02
Bunin 1987   14  0.6916  0.0120  0.1218  0.3916  0.4119  0.40
Bunin 1987b   15  0.6941  0.0021  0.1419  0.3916  0.4118  0.40
Chiu 1999   76  0.3265  0.0071  0.0373  0.0377  0.0367  0.03
Cohen 1997   85  0.1825  0.0183  0.0283  0.0276  0.0385  0.02
Cortot 1951   1  0.821  0.251  0.253  0.541  0.641  0.59
Csalog 1996   78  0.3060  0.0082  0.0284  0.0264  0.0383  0.02
Czerny 1949   4  0.784  0.063  0.165  0.538  0.527  0.52
Czerny 1990   2  0.803  0.092  0.161  0.574  0.522  0.54
Duchoud 2007   22  0.6645  0.0025  0.0829  0.3326  0.3323  0.33
Ezaki 2006   11  0.7280  0.0023  0.1025  0.3540  0.1031  0.19
Falvay 1989   49  0.509  0.0367  0.0555  0.0560  0.0458  0.04
Farrell 1958   37  0.5872  0.0051  0.0649  0.0677  0.0360  0.04
Ferenczy 1958   6  0.7789  0.008  0.1811  0.463  0.604  0.53
Fliere 1977   29  0.6217  0.0147  0.0560  0.0561  0.0456  0.04
Fou 1978   71  0.3477  0.0076  0.0377  0.0375  0.0369  0.03
Francois 1956   28  0.6273  0.0026  0.0827  0.3434  0.1429  0.22
Friedman 1923   64  0.4083  0.0016  0.1023  0.364  0.5314  0.44
Friedman 1923b   66  0.4064  0.0015  0.1024  0.365  0.5215  0.43
Friedman 1930   42  0.5653  0.0014  0.1112  0.453  0.549  0.49
Garcia 2007   69  0.3750  0.0057  0.0469  0.0425  0.2739  0.10
Garcia 2007b   82  0.2449  0.0060  0.0471  0.0433  0.1248  0.07
Gierzod 1998   25  0.6436  0.0029  0.0820  0.3728  0.2026  0.27
Gornostaeva 1994   35  0.5910  0.0233  0.0643  0.1349  0.0543  0.08
Groot 1988   39  0.5738  0.0046  0.0651  0.0674  0.0366  0.04
Harasiewicz 1955   56  0.4734  0.0038  0.0636  0.1758  0.0444  0.08
Hatto 1993   77  0.3070  0.0061  0.0559  0.0586  0.0277  0.03
Hatto 1997   65  0.4078  0.0054  0.0650  0.0645  0.0452  0.05
Horowitz 1949   70  0.3455  0.0073  0.0374  0.0381  0.0372  0.03
Indjic 1988   73  0.3386  0.0059  0.0558  0.0565  0.0364  0.04
Kapell 1951   3  0.798  0.035  0.219  0.503  0.555  0.52
Kissin 1993   60  0.4527  0.0172  0.0466  0.0482  0.0274  0.03
Kushner 1989   32  0.6148  0.0048  0.0747  0.0774  0.0351  0.05
Luisada 1991   59  0.4539  0.0068  0.0554  0.0576  0.0355  0.04
Lushtak 2004   21  0.6668  0.0022  0.0828  0.3347  0.0633  0.14
Malcuzynski 1961   20  0.6621  0.0136  0.0833  0.2568  0.0436  0.10
Magaloff 1978   53  0.4826  0.0169  0.0561  0.0559  0.0457  0.04
Magin 1975   72  0.3457  0.0077  0.0372  0.0379  0.0281  0.02
Michalowski 1933   24  0.652  0.124  0.174  0.532  0.508  0.51
Milkina 1970   62  0.4120  0.0174  0.0378  0.0377  0.0371  0.03
Mohovich 1999   31  0.6275  0.0039  0.0739  0.1661  0.0442  0.08
Moravec 1969   41  0.5631  0.0050  0.0652  0.0638  0.1241  0.08
Morozova 2008   34  0.6019  0.0137  0.0934  0.2455  0.0438  0.10
Neighaus 1950   19  0.6618  0.0131  0.1226  0.3559  0.0435  0.12
Niedzielski 1931   68  0.3832  0.0063  0.0467  0.0472  0.0268  0.03
Ohlsson 1999   36  0.5951  0.0049  0.0464  0.0460  0.0463  0.04
Osinska 1989   18  0.6754  0.0032  0.1331  0.2932  0.2027  0.24
Pachmann 1927   81  0.2458  0.0081  0.0282  0.0266  0.0473  0.03
Paderewski 1930   17  0.6824  0.0117  0.1014  0.443  0.4912  0.46
Perlemuter 1992   30  0.6214  0.0227  0.0916  0.4025  0.2722  0.33
Pierdomenico 2008   57  0.4661  0.0070  0.0557  0.0578  0.0359  0.04
Poblocka 1999   7  0.7544  0.0012  0.1310  0.4612  0.4711  0.46
Rabcewiczowa 1932   5  0.775  0.056  0.196  0.512  0.563  0.53
Rachmaninoff 1923   54  0.4822  0.0144  0.0744  0.1360  0.0445  0.07
Rangell 2001   63  0.4143  0.0075  0.0376  0.0380  0.0286  0.02
Richter 1976   55  0.4863  0.0064  0.0463  0.0451  0.0462  0.04
Rosen 1989   43  0.5535  0.0055  0.0746  0.0770  0.0353  0.05
Rosenthal 1930   40  0.5628  0.0141  0.0537  0.1629  0.2630  0.20
Rosenthal 1931   83  0.2282  0.0078  0.0375  0.0381  0.0282  0.02
Rosenthal 1931b   86  0.1842  0.0080  0.0281  0.0283  0.0287  0.02
Rosenthal 1931c   44  0.5356  0.0052  0.0745  0.0745  0.0649  0.06
Rosenthal 1931d   84  0.1990  0.0087  0.0285  0.0289  0.0190  0.01
Rossi 2007   74  0.3252  0.0045  0.0553  0.0530  0.1540  0.09
Rubinstein 1939   87  0.1146  0.0089  0.0189  0.0181  0.0380  0.02
Rubinstein 1952   80  0.2766  0.0086  0.0286  0.0286  0.0288  0.02
Rubinstein 1966   51  0.4979  0.0066  0.0556  0.0561  0.0465  0.04
Schilhawsky 1960   26  0.6467  0.0024  0.0922  0.3621  0.2924  0.32
Shebanova 2002   52  0.4913  0.0256  0.0465  0.0472  0.0375  0.03
Smith 1975   9  0.736  0.039  0.132  0.545  0.3813  0.45
Sokolov 2002   10  0.7323  0.0119  0.1213  0.4422  0.3717  0.40
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   23  0.6540  0.0035  0.0635  0.2245  0.0537  0.10
Uninsky 1932   16  0.6812  0.027  0.187  0.512  0.546  0.52
Uninsky 1971   13  0.7111  0.0210  0.098  0.507  0.4710  0.48
Wasowski 1980   47  0.5215  0.0153  0.0648  0.0662  0.0450  0.05
Zak 1937   61  0.4462  0.0065  0.0462  0.0483  0.0370  0.03
Zak 1951   58  0.4574  0.0062  0.0468  0.0467  0.0461  0.04
Random 1   90  -0.1459  0.0090  0.0190  0.0181  0.0289  0.01
Random 2   89  -0.1184  0.0088  0.0288  0.0276  0.0284  0.02
Random 3   88  0.0885  0.0079  0.0379  0.0344  0.1054  0.05

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).