Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.2956  0.0072  0.0473  0.0473  0.0470  0.04
Anderszewski 2003   72  0.2866  0.0066  0.0565  0.0567  0.0469  0.04
Ashkenazy 1981   59  0.3180  0.0059  0.0654  0.0653  0.0755  0.06
Bacha 2000   88  0.1467  0.0088  0.0380  0.0387  0.0287  0.02
Badura 1965   49  0.3445  0.0055  0.0657  0.0629  0.2538  0.12
Barbosa 1983   64  0.2981  0.0063  0.0468  0.0471  0.0468  0.04
Biret 1990   7  0.4422  0.0015  0.1110  0.5112  0.623  0.56
Blet 2003   16  0.419  0.0111  0.0817  0.4216  0.4911  0.45
Block 1995   25  0.3729  0.0040  0.0536  0.1551  0.0744  0.10
Blumental 1952   78  0.2385  0.0081  0.0383  0.0386  0.0380  0.03
Boshniakovich 1969   30  0.3628  0.0045  0.0645  0.1173  0.0453  0.07
Brailowsky 1960   62  0.3052  0.0073  0.0477  0.0477  0.0462  0.04
Bunin 1987   48  0.3488  0.0036  0.0632  0.1944  0.1330  0.16
Bunin 1987b   51  0.3386  0.0032  0.0631  0.2237  0.2325  0.22
Chiu 1999   4  0.4524  0.005  0.154  0.6113  0.522  0.56
Cohen 1997   75  0.2616  0.0067  0.0472  0.0465  0.0472  0.04
Cortot 1951   85  0.1963  0.0087  0.0382  0.0385  0.0290  0.02
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   79  0.2275  0.0080  0.0288  0.0276  0.0388  0.02
Czerny 1990   45  0.3419  0.0029  0.0528  0.2449  0.0833  0.14
Duchoud 2007   22  0.3936  0.0016  0.1311  0.498  0.624  0.55
Ezaki 2006   74  0.2790  0.0079  0.0287  0.0283  0.0386  0.02
Falvay 1989   6  0.453  0.104  0.219  0.5118  0.429  0.46
Farrell 1958   33  0.3658  0.0042  0.0537  0.1529  0.2726  0.20
Ferenczy 1958   69  0.2861  0.0071  0.0469  0.0439  0.3437  0.12
Fliere 1977   3  0.515  0.033  0.323  0.7127  0.406  0.53
Fou 1978   40  0.3526  0.0030  0.0525  0.2761  0.0441  0.10
Francois 1956   86  0.1884  0.0086  0.0384  0.0375  0.0385  0.03
Friedman 1923   52  0.3359  0.0061  0.1144  0.1157  0.0652  0.08
Friedman 1923b   54  0.3321  0.0060  0.0652  0.0651  0.0656  0.06
Friedman 1930   47  0.3412  0.0133  0.0541  0.1249  0.0747  0.09
Garcia 2007   57  0.3211  0.0144  0.0640  0.1230  0.3028  0.19
Garcia 2007b   63  0.3010  0.0147  0.0561  0.0578  0.0474  0.04
Gierzod 1998   77  0.2589  0.0068  0.0474  0.0477  0.0471  0.04
Gornostaeva 1994   18  0.407  0.0112  0.0821  0.3536  0.2918  0.32
Groot 1988   14  0.4251  0.0024  0.0923  0.3262  0.0439  0.11
Harasiewicz 1955   12  0.4387  0.0022  0.1020  0.3663  0.0535  0.13
Hatto 1993   41  0.3582  0.0054  0.0847  0.0866  0.0557  0.06
Hatto 1997   44  0.3565  0.0057  0.0748  0.0771  0.0461  0.05
Horowitz 1949   68  0.2832  0.0075  0.0562  0.0560  0.0465  0.04
Indjic 1988   43  0.3555  0.0050  0.0653  0.0651  0.0754  0.06
Kapell 1951   23  0.3840  0.0010  0.0916  0.4332  0.2417  0.32
Kissin 1993   31  0.3625  0.0019  0.1215  0.4432  0.4710  0.45
Kushner 1989   20  0.396  0.0318  0.1214  0.4565  0.0532  0.15
Luisada 1991   26  0.3747  0.0026  0.0529  0.2444  0.1129  0.16
Lushtak 2004   42  0.358  0.0138  0.0542  0.1241  0.0843  0.10
Malcuzynski 1961   58  0.3133  0.0049  0.0560  0.0561  0.0559  0.05
Magaloff 1978   19  0.3915  0.0125  0.0930  0.2335  0.2224  0.22
Magin 1975   13  0.4272  0.0020  0.1119  0.3932  0.3513  0.37
Michalowski 1933   56  0.3241  0.0027  0.0546  0.0915  0.4427  0.20
Milkina 1970   76  0.2669  0.0064  0.0558  0.0576  0.0364  0.04
Mohovich 1999   50  0.3314  0.0152  0.0655  0.0642  0.1051  0.08
Moravec 1969   29  0.3683  0.0039  0.0535  0.1669  0.0448  0.08
Morozova 2008   34  0.3691  0.0037  0.0533  0.1757  0.0546  0.09
Neighaus 1950   60  0.3157  0.0062  0.0471  0.0475  0.0384  0.03
Niedzielski 1931   55  0.3270  0.0028  0.0527  0.2528  0.3219  0.28
Ohlsson 1999   32  0.3673  0.0048  0.0563  0.0580  0.0367  0.04
Osinska 1989   2  0.522  0.152  0.412  0.727  0.691  0.70
Pachmann 1927   24  0.3813  0.0134  0.0538  0.1515  0.5020  0.27
Paderewski 1930   83  0.1934  0.0078  0.0378  0.0361  0.0566  0.04
Perlemuter 1992   39  0.3527  0.0053  0.0751  0.0734  0.2236  0.12
Pierdomenico 2008   27  0.3717  0.0051  0.0656  0.0626  0.3731  0.15
Poblocka 1999   17  0.4120  0.0014  0.0913  0.4729  0.3912  0.43
Rabcewiczowa 1932   73  0.2778  0.0069  0.0564  0.0570  0.0463  0.04
Rachmaninoff 1923   46  0.3435  0.0023  0.0924  0.3039  0.2121  0.25
Rangell 2001   80  0.2174  0.0076  0.0476  0.0478  0.0382  0.03
Richter 1976   11  0.4418  0.0013  0.0818  0.4234  0.3015  0.35
Rosen 1989   5  0.4530  0.0017  0.1412  0.4828  0.2814  0.37
Rosenthal 1930   81  0.2179  0.0084  0.0385  0.0380  0.0379  0.03
Rosenthal 1931   87  0.1768  0.0085  0.0379  0.0374  0.0477  0.03
Rosenthal 1931b   82  0.2150  0.0083  0.0475  0.0456  0.0573  0.04
Rosenthal 1931c   70  0.2838  0.0058  0.0750  0.0743  0.1545  0.10
Rosenthal 1931d   84  0.1948  0.0082  0.0381  0.0373  0.0483  0.03
Rossi 2007   36  0.3644  0.0035  0.0534  0.163  0.6916  0.33
Rubinstein 1939   37  0.3542  0.0041  0.0539  0.1347  0.0549  0.08
Rubinstein 1952   28  0.3743  0.0046  0.0559  0.0550  0.0858  0.06
Rubinstein 1966   15  0.414  0.048  0.127  0.5441  0.1222  0.25
Schilhawsky 1960   67  0.2962  0.0065  0.0470  0.0479  0.0378  0.03
Shebanova 2002   21  0.3976  0.0021  0.1022  0.3469  0.0534  0.13
Smith 1975   71  0.2854  0.0077  0.0386  0.0365  0.0475  0.03
Sokolov 2002   35  0.3649  0.0056  0.0749  0.0743  0.1440  0.10
Sztompka 1959   66  0.2953  0.0070  0.0566  0.0566  0.0560  0.05
Tomsic 1995   38  0.3571  0.0043  0.0543  0.1154  0.0650  0.08
Uninsky 1932   53  0.3339  0.0031  0.0726  0.2661  0.0442  0.10
Uninsky 1971   61  0.3046  0.0074  0.0567  0.0585  0.0276  0.03
Wasowski 1980   9  0.4423  0.006  0.135  0.5823  0.495  0.53
Zak 1937   8  0.4431  0.007  0.128  0.5313  0.527  0.52
Zak 1951   10  0.4437  0.009  0.116  0.5412  0.518  0.52
Average   1  0.581  0.481  0.481  0.8449  0.0723  0.24
Random 1   89  -0.0477  0.0089  0.0289  0.0254  0.0481  0.03
Random 2   91  -0.0860  0.0091  0.0191  0.0183  0.0291  0.01
Random 3   90  -0.0664  0.0090  0.0190  0.0163  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).