Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.3431  0.0038  0.0737  0.2752  0.0542  0.12
Anderszewski 2003   31  0.3644  0.0021  0.2020  0.6126  0.4421  0.52
Ashkenazy 1981   73  0.1979  0.0086  0.0284  0.0278  0.0482  0.03
Bacha 2000   44  0.3067  0.0046  0.0747  0.0739  0.1844  0.11
Badura 1965   71  0.2280  0.0068  0.0652  0.0650  0.0560  0.05
Barbosa 1983   40  0.3173  0.0040  0.0839  0.2361  0.0640  0.12
Biret 1990   13  0.4623  0.0018  0.1819  0.6420  0.5417  0.59
Blet 2003   75  0.1947  0.0077  0.0472  0.0471  0.0469  0.04
Block 1995   74  0.1951  0.0074  0.0380  0.0385  0.0381  0.03
Blumental 1952   60  0.2635  0.0049  0.0650  0.0660  0.0654  0.06
Boshniakovich 1969   59  0.2627  0.0041  0.0744  0.1479  0.0452  0.07
Brailowsky 1960   48  0.3052  0.0048  0.0651  0.0663  0.0555  0.05
Bunin 1987   51  0.2928  0.0060  0.0565  0.0577  0.0375  0.04
Bunin 1987b   55  0.2832  0.0061  0.0563  0.0568  0.0465  0.04
Chiu 1999   57  0.2754  0.0069  0.0471  0.0487  0.0278  0.03
Cohen 1997   25  0.3820  0.0030  0.1324  0.5312  0.5919  0.56
Cortot 1951   18  0.4216  0.0119  0.1917  0.671  0.749  0.70
Csalog 1996   70  0.2269  0.0075  0.0375  0.0387  0.0287  0.02
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   11  0.4619  0.0014  0.1513  0.7029  0.4818  0.58
Duchoud 2007   64  0.2466  0.0072  0.0474  0.0473  0.0471  0.04
Ezaki 2006   3  0.528  0.022  0.275  0.801  0.763  0.78
Falvay 1989   14  0.4430  0.0022  0.2123  0.5531  0.3026  0.41
Farrell 1958   6  0.504  0.056  0.314  0.811  0.772  0.79
Ferenczy 1958   23  0.3912  0.0129  0.1226  0.538  0.7315  0.62
Fliere 1977   66  0.2382  0.0070  0.0468  0.0482  0.0462  0.04
Fou 1978   29  0.3617  0.0134  0.1033  0.4361  0.0435  0.13
Francois 1956   12  0.4621  0.0011  0.1911  0.733  0.786  0.75
Friedman 1923   84  0.1289  0.0082  0.0287  0.0278  0.0389  0.02
Friedman 1923b   86  0.1190  0.0083  0.0381  0.0379  0.0383  0.03
Friedman 1930   81  0.1568  0.0081  0.0285  0.0281  0.0388  0.02
Garcia 2007   80  0.1674  0.0064  0.0466  0.0476  0.0472  0.04
Garcia 2007b   76  0.1970  0.0076  0.0376  0.0378  0.0484  0.03
Gierzod 1998   33  0.3533  0.0031  0.1330  0.4561  0.0532  0.15
Gornostaeva 1994   5  0.5110  0.017  0.157  0.776  0.668  0.71
Groot 1988   65  0.2457  0.0066  0.0467  0.0466  0.0476  0.04
Harasiewicz 1955   7  0.499  0.025  0.306  0.806  0.6010  0.69
Hatto 1993   39  0.3171  0.0043  0.0740  0.2276  0.0448  0.09
Hatto 1997   17  0.4318  0.0120  0.2321  0.6023  0.3524  0.46
Horowitz 1949   87  0.1081  0.0090  0.0190  0.0187  0.0386  0.02
Indjic 1988   45  0.3036  0.0044  0.1141  0.2178  0.0446  0.09
Kapell 1951   34  0.3411  0.0125  0.1229  0.4943  0.0927  0.21
Kissin 1993   67  0.2363  0.0062  0.0469  0.0467  0.0659  0.05
Kushner 1989   28  0.3643  0.0026  0.0928  0.5054  0.0629  0.17
Luisada 1991   69  0.2283  0.0073  0.0378  0.0386  0.0377  0.03
Lushtak 2004   42  0.3049  0.0051  0.0653  0.0685  0.0373  0.04
Malcuzynski 1961   21  0.4025  0.0017  0.1516  0.6828  0.4020  0.52
Magaloff 1978   49  0.2941  0.0035  0.0842  0.1980  0.0349  0.08
Magin 1975   56  0.2875  0.0047  0.0846  0.0861  0.0553  0.06
Michalowski 1933   82  0.1339  0.0080  0.0379  0.0371  0.0479  0.03
Milkina 1970   1  0.561  0.471  0.473  0.824  0.745  0.78
Mohovich 1999   37  0.3272  0.0027  0.1031  0.4456  0.0533  0.15
Moravec 1969   15  0.445  0.049  0.1612  0.726  0.5712  0.64
Morozova 2008   26  0.3865  0.0028  0.1125  0.5352  0.0531  0.16
Neighaus 1950   20  0.4056  0.0024  0.1422  0.5729  0.3125  0.42
Niedzielski 1931   88  0.0584  0.0089  0.0189  0.0187  0.0290  0.01
Ohlsson 1999   32  0.3513  0.0133  0.0834  0.3564  0.0439  0.12
Osinska 1989   9  0.4826  0.008  0.229  0.7415  0.5811  0.66
Pachmann 1927   78  0.1777  0.0078  0.0470  0.0474  0.0468  0.04
Paderewski 1930   83  0.1386  0.0079  0.0473  0.0467  0.0467  0.04
Perlemuter 1992   79  0.1685  0.0087  0.0283  0.0287  0.0285  0.02
Pierdomenico 2008   62  0.2550  0.0065  0.0561  0.0552  0.0463  0.04
Poblocka 1999   47  0.3087  0.0054  0.0559  0.0562  0.0556  0.05
Rabcewiczowa 1932   8  0.4814  0.0110  0.188  0.753  0.707  0.72
Rachmaninoff 1923   53  0.2945  0.0050  0.0649  0.0673  0.0457  0.05
Rangell 2001   24  0.396  0.0415  0.1418  0.665  0.6313  0.64
Richter 1976   52  0.2964  0.0055  0.0748  0.0774  0.0458  0.05
Rosen 1989   41  0.3160  0.0053  0.0555  0.0583  0.0374  0.04
Rosenthal 1930   43  0.3046  0.0042  0.0743  0.1538  0.2728  0.20
Rosenthal 1931   63  0.2458  0.0057  0.0554  0.0538  0.2741  0.12
Rosenthal 1931b   72  0.2078  0.0067  0.0560  0.0551  0.0561  0.05
Rosenthal 1931c   54  0.2859  0.0045  0.0845  0.0843  0.1445  0.11
Rosenthal 1931d   68  0.2240  0.0059  0.0558  0.0542  0.1350  0.08
Rossi 2007   46  0.3042  0.0052  0.0562  0.0522  0.3734  0.14
Rubinstein 1939   4  0.522  0.113  0.292  0.843  0.724  0.78
Rubinstein 1952   19  0.417  0.0312  0.1414  0.7022  0.5216  0.60
Rubinstein 1966   16  0.4424  0.0016  0.1415  0.6926  0.3323  0.48
Schilhawsky 1960   50  0.2948  0.0056  0.0556  0.0574  0.0470  0.04
Shebanova 2002   77  0.1937  0.0084  0.0382  0.0384  0.0380  0.03
Smith 1975   2  0.533  0.084  0.331  0.842  0.801  0.82
Sokolov 2002   22  0.4061  0.0023  0.1227  0.5018  0.4622  0.48
Sztompka 1959   30  0.3629  0.0036  0.0935  0.3566  0.0537  0.13
Tomsic 1995   38  0.3255  0.0039  0.0936  0.3262  0.0536  0.13
Uninsky 1932   36  0.3322  0.0037  0.1038  0.2580  0.0347  0.09
Uninsky 1971   10  0.4615  0.0113  0.1710  0.7414  0.5214  0.62
Wasowski 1980   27  0.3638  0.0032  0.0832  0.4453  0.0630  0.16
Zak 1937   61  0.2688  0.0063  0.0564  0.0578  0.0464  0.04
Zak 1951   58  0.2734  0.0058  0.0557  0.0584  0.0366  0.04
Random 1   90  0.0276  0.0088  0.0188  0.0113  0.4351  0.07
Random 2   85  0.1162  0.0071  0.0377  0.031  0.5738  0.13
Random 3   89  0.0453  0.0085  0.0286  0.022  0.6843  0.12

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).