Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.4676  0.0044  0.0542  0.1150  0.0545  0.07
Anderszewski 2003   46  0.4153  0.0042  0.0443  0.1058  0.0353  0.05
Ashkenazy 1981   28  0.4778  0.0020  0.0721  0.3453  0.0533  0.13
Bacha 2000   74  0.3060  0.0081  0.0380  0.0354  0.0556  0.04
Badura 1965   42  0.4314  0.0129  0.0633  0.2531  0.2520  0.25
Barbosa 1983   70  0.3181  0.0061  0.0556  0.0563  0.0460  0.04
Biret 1990   27  0.4848  0.0030  0.0632  0.2541  0.1526  0.19
Blet 2003   39  0.4450  0.0043  0.0540  0.1465  0.0541  0.08
Block 1995   37  0.444  0.0912  0.1328  0.2743  0.1030  0.16
Blumental 1952   36  0.4434  0.0014  0.1114  0.3812  0.4314  0.40
Boshniakovich 1969   44  0.4224  0.0055  0.0554  0.0562  0.0365  0.04
Brailowsky 1960   58  0.3555  0.0073  0.0373  0.0360  0.0469  0.03
Bunin 1987   41  0.4382  0.0046  0.0650  0.0653  0.0650  0.06
Bunin 1987b   40  0.4387  0.0045  0.0648  0.0652  0.0647  0.06
Chiu 1999   75  0.2928  0.0076  0.0382  0.0367  0.0470  0.03
Cohen 1997   64  0.3336  0.0058  0.0647  0.0653  0.0554  0.05
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   67  0.3217  0.0180  0.0383  0.0363  0.0478  0.03
Czerny 1949   6  0.5710  0.024  0.142  0.6017  0.522  0.56
Czerny 1990   34  0.4588  0.0047  0.0846  0.0851  0.0551  0.06
Duchoud 2007   25  0.4984  0.0031  0.0727  0.2841  0.1227  0.18
Ezaki 2006   13  0.5246  0.0021  0.0719  0.3567  0.0435  0.12
Falvay 1989   47  0.4032  0.0063  0.0553  0.0555  0.0552  0.05
Farrell 1958   14  0.5230  0.0023  0.0816  0.367  0.4810  0.42
Ferenczy 1958   3  0.593  0.123  0.266  0.574  0.543  0.55
Fliere 1977   31  0.4662  0.0054  0.0459  0.0483  0.0368  0.03
Fou 1978   79  0.2754  0.0084  0.0284  0.0273  0.0473  0.03
Francois 1956   26  0.4920  0.0115  0.1015  0.3736  0.1623  0.24
Friedman 1923   80  0.2737  0.0051  0.0944  0.0920  0.3429  0.17
Friedman 1923b   81  0.2647  0.0050  0.0558  0.0522  0.3234  0.13
Friedman 1930   65  0.3373  0.0041  0.0539  0.1532  0.2825  0.20
Garcia 2007   82  0.2561  0.0070  0.0468  0.0452  0.0564  0.04
Garcia 2007b   87  0.1263  0.0083  0.0381  0.0367  0.0384  0.03
Gierzod 1998   17  0.5149  0.0017  0.0613  0.3934  0.1619  0.25
Gornostaeva 1994   22  0.5022  0.0138  0.0737  0.1960  0.0440  0.09
Groot 1988   48  0.3985  0.0062  0.0552  0.0581  0.0281  0.03
Harasiewicz 1955   59  0.3523  0.0033  0.0638  0.1684  0.0346  0.07
Hatto 1993   83  0.2579  0.0068  0.0376  0.0375  0.0382  0.03
Hatto 1997   66  0.3364  0.0049  0.0464  0.0437  0.1344  0.07
Horowitz 1949   68  0.3268  0.0067  0.0379  0.0385  0.0286  0.02
Indjic 1988   84  0.2380  0.0069  0.0370  0.0385  0.0288  0.02
Kapell 1951   7  0.5631  0.007  0.218  0.5021  0.437  0.46
Kissin 1993   57  0.3656  0.0072  0.0378  0.0386  0.0287  0.02
Kushner 1989   18  0.5129  0.0036  0.0530  0.2677  0.0337  0.09
Luisada 1991   72  0.3035  0.0079  0.0377  0.0379  0.0367  0.03
Lushtak 2004   32  0.4665  0.0018  0.0726  0.3142  0.1028  0.18
Malcuzynski 1961   21  0.5018  0.0132  0.0631  0.2580  0.0338  0.09
Magaloff 1978   38  0.4439  0.0059  0.0651  0.0677  0.0358  0.04
Magin 1975   78  0.2757  0.0082  0.0375  0.0384  0.0372  0.03
Michalowski 1933   49  0.3990  0.0019  0.0620  0.3519  0.4015  0.37
Milkina 1970   53  0.3874  0.0064  0.0469  0.0478  0.0459  0.04
Mohovich 1999   45  0.4238  0.0053  0.0461  0.0455  0.0566  0.04
Moravec 1969   19  0.517  0.0413  0.129  0.4919  0.3411  0.41
Morozova 2008   33  0.4642  0.0035  0.0729  0.2767  0.0436  0.10
Neighaus 1950   20  0.5116  0.0122  0.1124  0.3337  0.1624  0.23
Niedzielski 1931   63  0.3451  0.0056  0.0555  0.0540  0.1143  0.07
Ohlsson 1999   23  0.5015  0.0128  0.0635  0.2271  0.0439  0.09
Osinska 1989   2  0.615  0.076  0.184  0.5810  0.484  0.53
Pachmann 1927   86  0.1670  0.0088  0.0188  0.0185  0.0290  0.01
Paderewski 1930   10  0.5426  0.0010  0.1511  0.4613  0.438  0.44
Perlemuter 1992   56  0.3758  0.0052  0.0649  0.0678  0.0357  0.04
Pierdomenico 2008   54  0.3845  0.0060  0.0460  0.0480  0.0371  0.03
Poblocka 1999   12  0.5227  0.0016  0.0718  0.3549  0.0532  0.13
Rabcewiczowa 1932   8  0.5621  0.019  0.147  0.5015  0.535  0.51
Rachmaninoff 1923   60  0.3559  0.0039  0.0641  0.1470  0.0442  0.07
Rangell 2001   50  0.3925  0.0040  0.0545  0.0869  0.0355  0.05
Richter 1976   55  0.3883  0.0065  0.0467  0.0473  0.0377  0.03
Rosen 1989   15  0.5211  0.0224  0.0622  0.3435  0.1821  0.25
Rosenthal 1930   16  0.5143  0.0027  0.0817  0.3622  0.4513  0.40
Rosenthal 1931   69  0.3286  0.0066  0.0465  0.0460  0.0461  0.04
Rosenthal 1931b   76  0.2969  0.0077  0.0374  0.0369  0.0383  0.03
Rosenthal 1931c   11  0.528  0.0226  0.0723  0.3419  0.3717  0.35
Rosenthal 1931d   73  0.3044  0.0078  0.0466  0.0473  0.0380  0.03
Rossi 2007   71  0.3112  0.0234  0.0536  0.217  0.4418  0.30
Rubinstein 1939   85  0.2066  0.0090  0.0190  0.0184  0.0385  0.02
Rubinstein 1952   77  0.2775  0.0085  0.0285  0.0275  0.0389  0.02
Rubinstein 1966   52  0.3852  0.0075  0.0371  0.0383  0.0379  0.03
Schilhawsky 1960   29  0.4777  0.0025  0.0625  0.3248  0.0631  0.14
Shebanova 2002   43  0.4240  0.0048  0.0557  0.0573  0.0462  0.04
Smith 1975   5  0.581  0.191  0.191  0.7112  0.451  0.57
Sokolov 2002   4  0.596  0.068  0.155  0.5730  0.319  0.42
Sztompka 1959   1  0.612  0.182  0.243  0.5813  0.456  0.51
Tomsic 1995   51  0.3989  0.0057  0.0463  0.0481  0.0376  0.03
Uninsky 1932   24  0.4919  0.0111  0.1512  0.4621  0.3016  0.37
Uninsky 1971   9  0.559  0.025  0.1610  0.4828  0.3512  0.41
Wasowski 1980   35  0.4513  0.0137  0.0834  0.2329  0.2522  0.24
Zak 1937   62  0.3571  0.0074  0.0372  0.0381  0.0374  0.03
Zak 1951   61  0.3572  0.0071  0.0462  0.0487  0.0275  0.03
Random 1   88  0.0533  0.0089  0.0189  0.0115  0.3848  0.06
Random 2   90  0.0041  0.0086  0.0186  0.0134  0.1763  0.04
Random 3   89  0.0367  0.0087  0.0187  0.0119  0.3549  0.06

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).