Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.3858  0.0025  0.0818  0.5043  0.1726  0.29
Anderszewski 2003   49  0.2441  0.0040  0.0840  0.2036  0.2129  0.20
Ashkenazy 1981   75  0.1483  0.0079  0.0376  0.0384  0.0378  0.03
Bacha 2000   60  0.2113  0.0041  0.0841  0.1558  0.0546  0.09
Badura 1965   69  0.1762  0.0069  0.0469  0.0477  0.0377  0.03
Barbosa 1983   59  0.2155  0.0061  0.0566  0.0576  0.0466  0.04
Biret 1990   14  0.4110  0.0114  0.1620  0.4921  0.5612  0.52
Blet 2003   37  0.2868  0.0047  0.0650  0.0664  0.0559  0.05
Block 1995   32  0.2957  0.0036  0.0834  0.3453  0.0638  0.14
Blumental 1952   67  0.1823  0.0050  0.0563  0.0565  0.0560  0.05
Boshniakovich 1969   62  0.2037  0.0055  0.0653  0.0681  0.0368  0.04
Brailowsky 1960   44  0.2559  0.0053  0.0846  0.0849  0.0848  0.08
Bunin 1987   88  0.0672  0.0085  0.0286  0.0287  0.0287  0.02
Bunin 1987b   87  0.0663  0.0086  0.0285  0.0287  0.0283  0.02
Chiu 1999   45  0.2584  0.0080  0.0373  0.0386  0.0280  0.02
Cohen 1997   1  0.581  0.231  0.231  0.871  0.831  0.85
Cortot 1951   10  0.465  0.104  0.266  0.772  0.786  0.77
Csalog 1996   65  0.1979  0.0082  0.0381  0.0371  0.0473  0.03
Czerny 1949   4  0.562  0.203  0.314  0.811  0.872  0.84
Czerny 1990   79  0.1180  0.0077  0.0375  0.0380  0.0379  0.03
Duchoud 2007   40  0.2628  0.0042  0.0643  0.1475  0.0450  0.07
Ezaki 2006   3  0.563  0.162  0.262  0.821  0.813  0.81
Falvay 1989   24  0.3264  0.0022  0.1224  0.4424  0.3523  0.39
Farrell 1958   35  0.2825  0.0037  0.0638  0.2352  0.0640  0.12
Ferenczy 1958   26  0.3131  0.0011  0.1512  0.6112  0.788  0.69
Fliere 1977   36  0.2814  0.0060  0.0468  0.0456  0.0562  0.04
Fou 1978   64  0.2053  0.0058  0.0556  0.0553  0.0556  0.05
Francois 1956   6  0.509  0.017  0.275  0.802  0.814  0.80
Friedman 1923   77  0.1238  0.0087  0.0288  0.0286  0.0389  0.02
Friedman 1923b   78  0.1169  0.0088  0.0287  0.0287  0.0388  0.02
Friedman 1930   51  0.2354  0.0072  0.0471  0.0482  0.0376  0.03
Garcia 2007   90  0.0365  0.0081  0.0378  0.0387  0.0286  0.02
Garcia 2007b   82  0.0781  0.0091  0.0191  0.0186  0.0291  0.01
Gierzod 1998   56  0.2248  0.0026  0.0729  0.4030  0.4022  0.40
Gornostaeva 1994   2  0.576  0.035  0.343  0.827  0.775  0.79
Groot 1988   19  0.3843  0.0024  0.0822  0.4653  0.0731  0.18
Harasiewicz 1955   12  0.438  0.0212  0.1613  0.6128  0.3216  0.44
Hatto 1993   47  0.2473  0.0057  0.0649  0.0673  0.0461  0.05
Hatto 1997   16  0.4033  0.0016  0.1119  0.5027  0.2925  0.38
Horowitz 1949   85  0.0642  0.0089  0.0289  0.0286  0.0284  0.02
Indjic 1988   63  0.2060  0.0062  0.0561  0.0575  0.0465  0.04
Kapell 1951   83  0.0785  0.0083  0.0382  0.0385  0.0281  0.02
Kissin 1993   74  0.1534  0.0048  0.0655  0.0662  0.0651  0.06
Kushner 1989   57  0.2170  0.0070  0.0470  0.0482  0.0369  0.03
Luisada 1991   46  0.2511  0.0164  0.0654  0.0675  0.0452  0.05
Lushtak 2004   34  0.2830  0.0039  0.0837  0.2343  0.1035  0.15
Malcuzynski 1961   53  0.2232  0.0049  0.0467  0.0469  0.0464  0.04
Magaloff 1978   21  0.3466  0.0031  0.1231  0.3749  0.0633  0.15
Magin 1975   33  0.2836  0.0043  0.0644  0.1356  0.0744  0.10
Michalowski 1933   72  0.1571  0.0075  0.0380  0.0384  0.0372  0.03
Milkina 1970   28  0.3035  0.0019  0.1227  0.4329  0.3919  0.41
Mohovich 1999   39  0.2761  0.0035  0.0835  0.3352  0.0639  0.14
Moravec 1969   41  0.2646  0.0027  0.0725  0.4443  0.1228  0.23
Morozova 2008   52  0.2250  0.0067  0.0560  0.0588  0.0275  0.03
Neighaus 1950   9  0.484  0.116  0.2710  0.697  0.5411  0.61
Niedzielski 1931   89  0.0549  0.0090  0.0190  0.0188  0.0290  0.01
Ohlsson 1999   15  0.4045  0.0021  0.1221  0.4869  0.0437  0.14
Osinska 1989   11  0.4415  0.0010  0.2011  0.6215  0.6110  0.61
Pachmann 1927   50  0.2374  0.0059  0.0558  0.0561  0.0657  0.05
Paderewski 1930   54  0.2239  0.0046  0.0747  0.0747  0.0749  0.07
Perlemuter 1992   29  0.2940  0.0052  0.0648  0.0658  0.0553  0.05
Pierdomenico 2008   42  0.2675  0.0056  0.0652  0.0660  0.0555  0.05
Poblocka 1999   48  0.2451  0.0063  0.0651  0.0681  0.0454  0.05
Rabcewiczowa 1932   5  0.5116  0.008  0.189  0.706  0.777  0.73
Rachmaninoff 1923   73  0.1586  0.0068  0.0564  0.0584  0.0363  0.04
Rangell 2001   68  0.1787  0.0034  0.0736  0.2454  0.0543  0.11
Richter 1976   61  0.2076  0.0074  0.0377  0.0377  0.0471  0.03
Rosen 1989   22  0.3382  0.0032  0.0826  0.4449  0.0536  0.15
Rosenthal 1930   25  0.3277  0.0033  0.1028  0.4134  0.3824  0.39
Rosenthal 1931   55  0.2227  0.0028  0.0832  0.3629  0.5117  0.43
Rosenthal 1931b   66  0.1818  0.0030  0.1233  0.3528  0.4921  0.41
Rosenthal 1931c   30  0.2919  0.0023  0.1117  0.5020  0.5014  0.50
Rosenthal 1931d   71  0.1724  0.0029  0.1030  0.3819  0.4918  0.43
Rossi 2007   31  0.2947  0.0045  0.0545  0.107  0.5827  0.24
Rubinstein 1939   27  0.3056  0.0038  0.0839  0.2258  0.0642  0.11
Rubinstein 1952   17  0.3912  0.0118  0.1015  0.5627  0.4015  0.47
Rubinstein 1966   23  0.3322  0.0020  0.1023  0.4660  0.0534  0.15
Schilhawsky 1960   70  0.1720  0.0078  0.0379  0.0376  0.0474  0.03
Shebanova 2002   76  0.1488  0.0076  0.0284  0.0285  0.0385  0.02
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   13  0.4226  0.0015  0.2316  0.5315  0.5013  0.51
Sztompka 1959   43  0.2629  0.0051  0.0562  0.0570  0.0558  0.05
Tomsic 1995   20  0.3521  0.0017  0.1114  0.5926  0.2920  0.41
Uninsky 1932   58  0.2178  0.0065  0.0559  0.0581  0.0367  0.04
Uninsky 1971   8  0.487  0.039  0.217  0.756  0.589  0.66
Wasowski 1980   38  0.2789  0.0044  0.0742  0.1476  0.0547  0.08
Zak 1937   84  0.0790  0.0084  0.0283  0.0286  0.0282  0.02
Zak 1951   81  0.0891  0.0073  0.0374  0.0384  0.0370  0.03
Average   7  0.4967  0.0013  0.188  0.7188  0.0241  0.12
Random 1   91  -0.0144  0.0071  0.0472  0.0431  0.2545  0.10
Random 2   86  0.0652  0.0054  0.0557  0.057  0.4932  0.16
Random 3   80  0.0917  0.0066  0.0565  0.052  0.6530  0.18

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).