Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.3518  0.0023  0.1118  0.6640  0.1617  0.32
Anderszewski 2003   24  0.3436  0.0016  0.1023  0.6244  0.1418  0.29
Ashkenazy 1981   80  0.1251  0.0085  0.0383  0.0386  0.0384  0.03
Bacha 2000   34  0.2925  0.0036  0.1038  0.3454  0.0534  0.13
Badura 1965   30  0.3126  0.0030  0.1230  0.5344  0.1119  0.24
Barbosa 1983   32  0.3077  0.0032  0.1234  0.4080  0.0338  0.11
Biret 1990   42  0.2560  0.0044  0.0943  0.1976  0.0343  0.08
Blet 2003   69  0.1627  0.0057  0.0658  0.0686  0.0278  0.03
Block 1995   31  0.315  0.0512  0.0928  0.5559  0.0529  0.17
Blumental 1952   12  0.373  0.093  0.188  0.7425  0.458  0.58
Boshniakovich 1969   60  0.2075  0.0047  0.0847  0.0882  0.0447  0.06
Brailowsky 1960   3  0.437  0.034  0.212  0.7917  0.633  0.71
Bunin 1987   52  0.2285  0.0061  0.0472  0.0469  0.0462  0.04
Bunin 1987b   58  0.2169  0.0062  0.0475  0.0474  0.0374  0.03
Chiu 1999   43  0.2549  0.0045  0.0945  0.1881  0.0346  0.07
Cohen 1997   38  0.2767  0.0033  0.1331  0.5137  0.2816  0.38
Cortot 1951   29  0.3223  0.0034  0.1232  0.5028  0.3115  0.39
Csalog 1996   36  0.2871  0.0040  0.1039  0.3469  0.0437  0.12
Czerny 1949   10  0.3913  0.0115  0.119  0.7327  0.536  0.62
Czerny 1990   67  0.1786  0.0072  0.0560  0.0586  0.0364  0.04
Duchoud 2007   87  0.0472  0.0087  0.0288  0.0288  0.0289  0.02
Ezaki 2006   2  0.454  0.072  0.174  0.7728  0.457  0.59
Falvay 1989   1  0.471  0.441  0.441  0.8210  0.475  0.62
Farrell 1958   48  0.2353  0.0052  0.0751  0.0783  0.0258  0.04
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   53  0.2281  0.0064  0.0659  0.0681  0.0450  0.05
Fou 1978   13  0.3730  0.0019  0.1211  0.7164  0.0427  0.17
Francois 1956   56  0.2141  0.0049  0.0654  0.0679  0.0366  0.04
Friedman 1923   85  0.0879  0.0082  0.0385  0.0378  0.0385  0.03
Friedman 1923b   84  0.0989  0.0083  0.0477  0.0479  0.0463  0.04
Friedman 1930   83  0.0982  0.0081  0.0382  0.0384  0.0380  0.03
Garcia 2007   68  0.1758  0.0070  0.0467  0.0488  0.0283  0.03
Garcia 2007b   78  0.1387  0.0075  0.0657  0.0683  0.0367  0.04
Gierzod 1998   8  0.3914  0.0117  0.1116  0.6861  0.0526  0.18
Gornostaeva 1994   7  0.3931  0.0010  0.1010  0.7335  0.3213  0.48
Groot 1988   63  0.1961  0.0056  0.0849  0.0874  0.0448  0.06
Harasiewicz 1955   22  0.3545  0.0026  0.1327  0.5574  0.0530  0.17
Hatto 1993   37  0.2754  0.0043  0.0942  0.2382  0.0345  0.08
Hatto 1997   19  0.3532  0.0024  0.1520  0.6562  0.0525  0.18
Horowitz 1949   71  0.1629  0.0046  0.0848  0.0843  0.1241  0.10
Indjic 1988   44  0.2542  0.0051  0.0846  0.0885  0.0354  0.05
Kapell 1951   62  0.1973  0.0065  0.0469  0.0479  0.0459  0.04
Kissin 1993   77  0.1352  0.0077  0.0378  0.0388  0.0288  0.02
Kushner 1989   55  0.2174  0.0055  0.0653  0.0678  0.0453  0.05
Luisada 1991   50  0.2324  0.0054  0.0752  0.0778  0.0449  0.05
Lushtak 2004   28  0.328  0.0231  0.1029  0.5468  0.0432  0.15
Malcuzynski 1961   45  0.2428  0.0041  0.0841  0.2480  0.0342  0.08
Magaloff 1978   61  0.1944  0.0063  0.0564  0.0568  0.0356  0.04
Magin 1975   82  0.0962  0.0084  0.0384  0.0386  0.0373  0.03
Michalowski 1933   88  0.0370  0.0089  0.0289  0.0290  0.0287  0.02
Milkina 1970   26  0.3438  0.0029  0.1126  0.5557  0.0528  0.17
Mohovich 1999   9  0.392  0.096  0.225  0.7735  0.3212  0.50
Moravec 1969   18  0.3619  0.0021  0.1317  0.6754  0.0621  0.20
Morozova 2008   57  0.2120  0.0074  0.0562  0.0581  0.0361  0.04
Neighaus 1950   51  0.2239  0.0042  0.0844  0.1979  0.0344  0.08
Niedzielski 1931   70  0.1690  0.0060  0.0563  0.0559  0.0552  0.05
Ohlsson 1999   76  0.1491  0.0078  0.0565  0.0585  0.0360  0.04
Osinska 1989   14  0.379  0.0225  0.1621  0.6347  0.0623  0.19
Pachmann 1927   79  0.1265  0.0080  0.0380  0.0388  0.0376  0.03
Paderewski 1930   86  0.0550  0.0079  0.0381  0.0387  0.0375  0.03
Perlemuter 1992   73  0.1646  0.0071  0.0466  0.0484  0.0369  0.03
Pierdomenico 2008   65  0.1864  0.0073  0.0468  0.0478  0.0372  0.03
Poblocka 1999   41  0.2668  0.0038  0.1136  0.3676  0.0435  0.12
Rabcewiczowa 1932   23  0.3440  0.0018  0.1215  0.6937  0.2614  0.42
Rachmaninoff 1923   47  0.2437  0.0048  0.0750  0.0781  0.0351  0.05
Rangell 2001   46  0.2434  0.0039  0.1040  0.2865  0.0439  0.11
Richter 1976   81  0.1078  0.0086  0.0286  0.0288  0.0286  0.02
Rosen 1989   25  0.346  0.0422  0.1224  0.6169  0.0431  0.16
Rosenthal 1930   27  0.3447  0.0027  0.1625  0.5828  0.5010  0.54
Rosenthal 1931   5  0.4015  0.015  0.203  0.787  0.781  0.78
Rosenthal 1931b   6  0.4021  0.008  0.227  0.768  0.752  0.75
Rosenthal 1931c   16  0.3610  0.0213  0.1222  0.6217  0.509  0.56
Rosenthal 1931d   17  0.3635  0.0014  0.1012  0.7111  0.694  0.70
Rossi 2007   75  0.1463  0.0076  0.0379  0.0377  0.0371  0.03
Rubinstein 1939   40  0.2643  0.0050  0.0655  0.0673  0.0357  0.04
Rubinstein 1952   66  0.1780  0.0059  0.0471  0.0467  0.0465  0.04
Rubinstein 1966   15  0.3611  0.0211  0.1014  0.7051  0.0720  0.22
Schilhawsky 1960   54  0.2248  0.0069  0.0473  0.0488  0.0279  0.03
Shebanova 2002   64  0.1884  0.0068  0.0470  0.0486  0.0382  0.03
Smith 1975   21  0.3512  0.019  0.1113  0.7028  0.3811  0.52
Sokolov 2002   49  0.2359  0.0053  0.0656  0.0684  0.0270  0.03
Sztompka 1959   72  0.1657  0.0067  0.0476  0.0485  0.0377  0.03
Tomsic 1995   39  0.2617  0.0028  0.1233  0.4266  0.0533  0.14
Uninsky 1932   59  0.2033  0.0058  0.0561  0.0588  0.0281  0.03
Uninsky 1971   11  0.3822  0.0020  0.1319  0.6649  0.0622  0.20
Wasowski 1980   74  0.1566  0.0066  0.0474  0.0485  0.0368  0.03
Zak 1937   35  0.2955  0.0037  0.1137  0.3684  0.0340  0.10
Zak 1951   33  0.3056  0.0035  0.1035  0.3873  0.0436  0.12
Average   4  0.4116  0.017  0.176  0.7768  0.0424  0.18
Random 1   90  -0.0776  0.0091  0.0191  0.0168  0.0291  0.01
Random 2   89  0.0088  0.0088  0.0287  0.0240  0.1555  0.05
Random 3   91  -0.1183  0.0090  0.0190  0.0154  0.0490  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).