Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6136  0.0041  0.0632  0.1576  0.0347  0.07
Anderszewski 2003   3  0.696  0.057  0.147  0.4213  0.323  0.37
Ashkenazy 1981   61  0.4989  0.0033  0.0436  0.1350  0.0544  0.08
Bacha 2000   68  0.4553  0.0044  0.0444  0.0740  0.1041  0.08
Badura 1965   23  0.5978  0.0058  0.0550  0.0542  0.1740  0.09
Barbosa 1983   71  0.4251  0.0045  0.0554  0.0530  0.1737  0.09
Biret 1990   59  0.4948  0.0038  0.0438  0.1241  0.0932  0.10
Blet 2003   51  0.529  0.0242  0.0542  0.0937  0.1626  0.12
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   79  0.3141  0.0077  0.0469  0.0475  0.0383  0.03
Boshniakovich 1969   5  0.6758  0.0011  0.0711  0.3533  0.259  0.30
Brailowsky 1960   38  0.5610  0.0222  0.0625  0.2125  0.2813  0.24
Bunin 1987   73  0.4287  0.0072  0.0374  0.0356  0.0674  0.04
Bunin 1987b   76  0.4059  0.0071  0.0372  0.0355  0.0666  0.04
Chiu 1999   33  0.573  0.115  0.1315  0.2926  0.2412  0.26
Cohen 1997   87  0.1179  0.0087  0.0283  0.0273  0.0388  0.02
Cortot 1951   36  0.5667  0.0048  0.0552  0.0542  0.0950  0.07
Csalog 1996   81  0.2924  0.0080  0.0555  0.0583  0.0281  0.03
Czerny 1949   43  0.5538  0.0020  0.0533  0.1470  0.0446  0.07
Czerny 1990   46  0.5316  0.0167  0.0551  0.0580  0.0375  0.04
Duchoud 2007   63  0.4830  0.0035  0.0435  0.1334  0.1623  0.14
Ezaki 2006   8  0.6545  0.0013  0.0617  0.2845  0.0525  0.12
Falvay 1989   65  0.4728  0.0076  0.0375  0.0343  0.1942  0.08
Farrell 1958   44  0.5429  0.0015  0.0723  0.2338  0.1819  0.20
Ferenczy 1958   26  0.5814  0.0161  0.0460  0.0440  0.1057  0.06
Fliere 1977   15  0.621  0.211  0.213  0.4437  0.1611  0.27
Fou 1978   35  0.5744  0.0036  0.0434  0.1479  0.0353  0.06
Francois 1956   66  0.4688  0.0070  0.0381  0.0377  0.0386  0.03
Friedman 1923   27  0.5819  0.0152  0.0468  0.0457  0.0576  0.04
Friedman 1923b   34  0.5783  0.0059  0.0646  0.0656  0.0561  0.05
Friedman 1930   40  0.5647  0.0065  0.0467  0.0456  0.0659  0.05
Garcia 2007   45  0.5476  0.0054  0.0377  0.0341  0.1549  0.07
Garcia 2007b   47  0.5331  0.0049  0.0647  0.0637  0.1733  0.10
Gierzod 1998   42  0.5534  0.0034  0.0437  0.1264  0.0448  0.07
Gornostaeva 1994   21  0.5942  0.0028  0.0528  0.1835  0.1322  0.15
Groot 1988   7  0.662  0.192  0.191  0.535  0.531  0.53
Harasiewicz 1955   1  0.734  0.066  0.172  0.4541  0.1116  0.22
Hatto 1993   62  0.4850  0.0062  0.0471  0.0443  0.1058  0.06
Hatto 1997   55  0.5080  0.0064  0.0745  0.0755  0.0556  0.06
Horowitz 1949   4  0.6881  0.0012  0.0616  0.2928  0.404  0.34
Indjic 1988   54  0.5062  0.0063  0.0466  0.0460  0.0570  0.04
Kapell 1951   60  0.4921  0.0137  0.0439  0.1182  0.0354  0.06
Kissin 1993   28  0.5868  0.0056  0.0457  0.0466  0.0379  0.03
Kushner 1989   29  0.5873  0.0030  0.0527  0.1857  0.0534  0.09
Luisada 1991   13  0.6218  0.0114  0.0612  0.3242  0.1217  0.20
Lushtak 2004   58  0.4920  0.0150  0.0456  0.0472  0.0473  0.04
Malcuzynski 1961   52  0.5154  0.0055  0.0373  0.0344  0.1355  0.06
Magaloff 1978   74  0.4155  0.0075  0.0380  0.0359  0.0562  0.04
Magin 1975   25  0.5884  0.0023  0.0522  0.2354  0.0528  0.11
Michalowski 1933   67  0.4627  0.0069  0.0464  0.0459  0.0569  0.04
Milkina 1970   9  0.6337  0.0016  0.0714  0.3136  0.1914  0.24
Mohovich 1999   39  0.567  0.044  0.1210  0.3735  0.276  0.32
Moravec 1969   80  0.3182  0.0086  0.0382  0.0384  0.0287  0.02
Morozova 2008   22  0.5923  0.0031  0.0531  0.1646  0.0539  0.09
Neighaus 1950   11  0.6312  0.0218  0.0913  0.3243  0.0920  0.17
Niedzielski 1931   50  0.5269  0.0066  0.0458  0.0458  0.0464  0.04
Ohlsson 1999   56  0.5085  0.0032  0.0530  0.1760  0.0535  0.09
Osinska 1989   2  0.6939  0.009  0.146  0.4335  0.2010  0.29
Pachmann 1927   41  0.5656  0.0073  0.0379  0.0347  0.0568  0.04
Paderewski 1930   69  0.4374  0.0079  0.0549  0.0577  0.0367  0.04
Perlemuter 1992   19  0.6032  0.0039  0.0541  0.1065  0.0452  0.06
Pierdomenico 2008   53  0.5152  0.0017  0.0718  0.2616  0.395  0.32
Poblocka 1999   14  0.6215  0.0127  0.0526  0.1959  0.0529  0.10
Rabcewiczowa 1932   72  0.4249  0.0078  0.0465  0.0462  0.0465  0.04
Rachmaninoff 1923   48  0.5346  0.0060  0.0648  0.0678  0.0363  0.04
Rangell 2001   57  0.495  0.063  0.139  0.376  0.472  0.42
Richter 1976   18  0.6117  0.0143  0.0443  0.0836  0.3121  0.16
Rosen 1989   31  0.5722  0.0124  0.0524  0.2243  0.0727  0.12
Rosenthal 1930   78  0.3186  0.0081  0.0378  0.0383  0.0382  0.03
Rosenthal 1931   83  0.2760  0.0082  0.0285  0.0259  0.0580  0.03
Rosenthal 1931b   84  0.2777  0.0083  0.0287  0.0259  0.0585  0.03
Rosenthal 1931c   86  0.1871  0.0085  0.0286  0.0287  0.0289  0.02
Rosenthal 1931d   82  0.2870  0.0084  0.0284  0.0258  0.0584  0.03
Rossi 2007   64  0.4757  0.0074  0.0376  0.0336  0.1545  0.07
Rubinstein 1939   75  0.4075  0.0068  0.0463  0.0482  0.0378  0.03
Rubinstein 1952   85  0.2613  0.0153  0.0470  0.0444  0.1351  0.07
Rubinstein 1966   70  0.4226  0.0046  0.0553  0.0542  0.1738  0.09
Schilhawsky 1960   49  0.5365  0.0051  0.0461  0.0453  0.0571  0.04
Shebanova 2002   12  0.6335  0.0019  0.074  0.4362  0.0424  0.13
Smith 1975   30  0.5772  0.0021  0.0521  0.2534  0.1618  0.20
Sokolov 2002   77  0.4043  0.0047  0.0459  0.0475  0.0377  0.03
Sztompka 1959   10  0.6325  0.0010  0.075  0.4344  0.1115  0.22
Tomsic 1995   20  0.608  0.0329  0.0629  0.1816  0.498  0.30
Uninsky 1932   16  0.6290  0.0057  0.0462  0.0464  0.0572  0.04
Uninsky 1971   32  0.5763  0.0040  0.0440  0.1146  0.0836  0.09
Wasowski 1980   6  0.6733  0.008  0.118  0.4121  0.227  0.30
Zak 1937   24  0.5911  0.0225  0.0519  0.2658  0.0430  0.10
Zak 1951   37  0.5640  0.0026  0.0520  0.2562  0.0431  0.10
Random 1   89  -0.1666  0.0089  0.0189  0.0122  0.2560  0.05
Random 2   90  -0.2861  0.0090  0.0190  0.0186  0.0290  0.01
Random 3   88  -0.0264  0.0088  0.0288  0.0221  0.3543  0.08

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).