Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6711  0.014  0.215  0.629  0.587  0.60
Anderszewski 2003   17  0.6331  0.0022  0.0934  0.3225  0.4332  0.37
Ashkenazy 1981   10  0.6619  0.0112  0.1010  0.565  0.5910  0.57
Bacha 2000   45  0.5480  0.0063  0.0551  0.059  0.4345  0.15
Badura 1965   32  0.5833  0.0027  0.0733  0.3311  0.5520  0.43
Barbosa 1983   70  0.4665  0.0071  0.0381  0.0356  0.0579  0.04
Biret 1990   34  0.5751  0.0041  0.0642  0.1337  0.2043  0.16
Blet 2003   69  0.4669  0.0072  0.0563  0.0543  0.1168  0.07
Block 1995   75  0.4482  0.0061  0.0553  0.0535  0.1960  0.10
Blumental 1952   74  0.4483  0.0074  0.0559  0.0582  0.0483  0.04
Boshniakovich 1969   15  0.6353  0.0016  0.1025  0.4126  0.4521  0.43
Brailowsky 1960   67  0.4677  0.0076  0.0471  0.0457  0.0572  0.04
Bunin 1987   72  0.4546  0.0055  0.0562  0.0510  0.4942  0.16
Bunin 1987b   73  0.4570  0.0048  0.0469  0.049  0.5048  0.14
Chiu 1999   49  0.5340  0.0051  0.0467  0.0421  0.3156  0.11
Cohen 1997   82  0.4029  0.0077  0.0385  0.0333  0.2063  0.08
Cortot 1951   78  0.4178  0.0078  0.0386  0.0351  0.0584  0.04
Csalog 1996   86  0.3584  0.0073  0.0470  0.0454  0.0581  0.04
Czerny 1949   24  0.6161  0.0032  0.1026  0.3933  0.3930  0.39
Czerny 1990   27  0.6014  0.0138  0.0640  0.1450  0.0761  0.10
Duchoud 2007   11  0.6412  0.0110  0.1311  0.561  0.772  0.66
Ezaki 2006   40  0.5534  0.0049  0.0472  0.0444  0.1366  0.07
Falvay 1989   68  0.4638  0.0069  0.0479  0.0469  0.0574  0.04
Farrell 1958   30  0.5823  0.0040  0.0637  0.2040  0.2338  0.21
Ferenczy 1958   81  0.4090  0.0080  0.0384  0.0379  0.0389  0.03
Fliere 1977   6  0.6837  0.005  0.207  0.6214  0.4911  0.55
Fou 1978   39  0.5676  0.0047  0.0554  0.0550  0.0571  0.05
Francois 1956   51  0.5250  0.0062  0.0646  0.0625  0.4444  0.16
Friedman 1923   36  0.5643  0.0053  0.0647  0.0634  0.3250  0.14
Friedman 1923b   38  0.5626  0.0052  0.0465  0.0436  0.3358  0.11
Friedman 1930   43  0.5528  0.0058  0.0556  0.0533  0.3154  0.12
Garcia 2007   48  0.5374  0.0050  0.0466  0.0411  0.5249  0.14
Garcia 2007b   41  0.5586  0.0031  0.0831  0.3412  0.5225  0.42
Gierzod 1998   3  0.713  0.083  0.373  0.7117  0.593  0.65
Gornostaeva 1994   46  0.5442  0.0064  0.0649  0.0644  0.1064  0.08
Groot 1988   66  0.4758  0.0036  0.0638  0.1941  0.1247  0.15
Harasiewicz 1955   22  0.6156  0.0023  0.1020  0.4530  0.4122  0.43
Hatto 1993   14  0.6375  0.0020  0.1122  0.4423  0.3628  0.40
Hatto 1997   16  0.6359  0.0021  0.0824  0.4222  0.3629  0.39
Horowitz 1949   62  0.4779  0.0065  0.0478  0.0434  0.3452  0.12
Indjic 1988   12  0.6466  0.0019  0.0917  0.4623  0.3727  0.41
Kapell 1951   54  0.5235  0.0037  0.0643  0.1347  0.0759  0.10
Kissin 1993   28  0.6036  0.0029  0.0929  0.3636  0.3633  0.36
Kushner 1989   5  0.697  0.029  0.154  0.6618  0.575  0.61
Luisada 1991   31  0.5825  0.0033  0.0830  0.3529  0.3134  0.33
Lushtak 2004   29  0.5917  0.0113  0.0918  0.468  0.5813  0.52
Malcuzynski 1961   63  0.4767  0.0075  0.0552  0.0568  0.0478  0.04
Magaloff 1978   52  0.525  0.0245  0.0644  0.1360  0.0467  0.07
Magin 1975   21  0.6232  0.006  0.199  0.5716  0.4912  0.53
Michalowski 1933   57  0.5154  0.0056  0.0650  0.0611  0.4841  0.17
Milkina 1970   26  0.6039  0.0026  0.0923  0.4331  0.4224  0.42
Mohovich 1999   35  0.5647  0.0034  0.0832  0.3324  0.4431  0.38
Moravec 1969   88  0.3157  0.0088  0.0475  0.0484  0.0387  0.03
Morozova 2008   25  0.6115  0.0118  0.0814  0.529  0.5115  0.51
Neighaus 1950   7  0.6721  0.0011  0.1212  0.566  0.608  0.58
Niedzielski 1931   60  0.4852  0.0068  0.0560  0.0562  0.0476  0.04
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   20  0.6216  0.0125  0.1019  0.4631  0.3923  0.42
Pachmann 1927   76  0.4381  0.0081  0.0555  0.0531  0.2953  0.12
Paderewski 1930   77  0.4285  0.0079  0.0387  0.0352  0.0488  0.03
Perlemuter 1992   53  0.5268  0.0046  0.0468  0.0420  0.4451  0.13
Pierdomenico 2008   58  0.4927  0.0043  0.0541  0.1310  0.5035  0.25
Poblocka 1999   42  0.5541  0.0028  0.0827  0.3925  0.4426  0.41
Rabcewiczowa 1932   64  0.4772  0.0070  0.0474  0.0474  0.0477  0.04
Rachmaninoff 1923   44  0.5444  0.0035  0.0735  0.2737  0.2137  0.24
Rangell 2001   61  0.4845  0.0067  0.0473  0.0425  0.3855  0.12
Richter 1976   56  0.5149  0.0057  0.0648  0.0622  0.5040  0.17
Rosen 1989   19  0.6330  0.0024  0.0915  0.4913  0.5016  0.49
Rosenthal 1930   79  0.4162  0.0082  0.0564  0.0554  0.0482  0.04
Rosenthal 1931   83  0.3863  0.0084  0.0388  0.0358  0.0580  0.04
Rosenthal 1931b   85  0.3691  0.0086  0.0382  0.0356  0.0585  0.04
Rosenthal 1931c   84  0.3855  0.0085  0.0477  0.0459  0.0486  0.04
Rosenthal 1931d   87  0.3587  0.0087  0.0383  0.0371  0.0490  0.03
Rossi 2007   80  0.409  0.0183  0.0476  0.0472  0.0473  0.04
Rubinstein 1939   55  0.5248  0.0066  0.0480  0.0459  0.0475  0.04
Rubinstein 1952   71  0.4618  0.0144  0.0545  0.1151  0.0665  0.08
Rubinstein 1966   23  0.6120  0.0139  0.0736  0.2134  0.2936  0.25
Schilhawsky 1960   33  0.5810  0.0130  0.0928  0.3822  0.4819  0.43
Shebanova 2002   2  0.722  0.112  0.352  0.753  0.671  0.71
Smith 1975   47  0.5364  0.0059  0.0561  0.0548  0.0770  0.06
Sokolov 2002   9  0.674  0.037  0.146  0.623  0.654  0.63
Sztompka 1959   4  0.696  0.028  0.188  0.6116  0.549  0.57
Tomsic 1995   59  0.4913  0.0160  0.0557  0.0522  0.4646  0.15
Uninsky 1932   65  0.4773  0.0054  0.0558  0.0540  0.2557  0.11
Uninsky 1971   50  0.538  0.0117  0.0921  0.4522  0.4918  0.47
Wasowski 1980   37  0.5624  0.0042  0.0739  0.1431  0.3039  0.20
Zak 1937   18  0.6322  0.0015  0.0916  0.4816  0.4817  0.48
Zak 1951   13  0.6371  0.0014  0.0913  0.5214  0.5114  0.51
Average   1  0.761  0.541  0.531  0.8424  0.446  0.61
Random 1   91  -0.1460  0.0091  0.0191  0.0176  0.0291  0.01
Random 2   89  0.0088  0.0089  0.0290  0.0219  0.3362  0.08
Random 3   90  -0.0589  0.0090  0.0289  0.0222  0.2569  0.07

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).