Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.4777  0.0051  0.0554  0.0548  0.0554  0.05
Anderszewski 2003   72  0.4045  0.0060  0.0457  0.0485  0.0274  0.03
Ashkenazy 1981   35  0.5519  0.0141  0.0537  0.1369  0.0352  0.06
Bacha 2000   56  0.4962  0.0061  0.0551  0.0539  0.1443  0.08
Badura 1965   69  0.4290  0.0068  0.0372  0.0368  0.0479  0.03
Barbosa 1983   74  0.3975  0.0069  0.0378  0.0359  0.0473  0.03
Biret 1990   42  0.5373  0.0053  0.0459  0.0485  0.0283  0.03
Blet 2003   65  0.4559  0.0071  0.0368  0.0378  0.0375  0.03
Block 1995   63  0.4524  0.0150  0.0552  0.0539  0.1445  0.08
Blumental 1952   73  0.4010  0.0258  0.0553  0.0535  0.1246  0.08
Boshniakovich 1969   17  0.6215  0.0121  0.0729  0.2622  0.2921  0.27
Brailowsky 1960   13  0.6511  0.0210  0.0812  0.389  0.455  0.41
Bunin 1987   28  0.5649  0.0044  0.0543  0.1048  0.0550  0.07
Bunin 1987b   27  0.5647  0.0043  0.0441  0.1147  0.0549  0.07
Chiu 1999   38  0.548  0.0311  0.0719  0.3222  0.3513  0.33
Cohen 1997   84  0.2183  0.0078  0.0286  0.0255  0.0481  0.03
Cortot 1951   70  0.4135  0.0077  0.0380  0.0370  0.0384  0.03
Csalog 1996   61  0.4676  0.0073  0.0462  0.0440  0.1941  0.09
Czerny 1949   43  0.5332  0.0036  0.0739  0.1357  0.0544  0.08
Czerny 1990   16  0.629  0.0312  0.0616  0.3551  0.0535  0.13
Duchoud 2007   68  0.4288  0.0075  0.0461  0.0479  0.0278  0.03
Ezaki 2006   39  0.5468  0.0034  0.0635  0.1778  0.0347  0.07
Falvay 1989   7  0.6714  0.015  0.136  0.4816  0.356  0.41
Farrell 1958   19  0.6142  0.0037  0.0636  0.1412  0.2928  0.20
Ferenczy 1958   81  0.3150  0.0084  0.0379  0.0381  0.0289  0.02
Fliere 1977   9  0.6663  0.0015  0.079  0.4247  0.0630  0.16
Fou 1978   33  0.5546  0.0022  0.0618  0.3335  0.3018  0.31
Francois 1956   29  0.5618  0.0129  0.0627  0.2732  0.1924  0.23
Friedman 1923   88  0.0166  0.0088  0.0288  0.0264  0.0586  0.03
Friedman 1923b   87  0.0364  0.0087  0.0287  0.0252  0.0682  0.03
Friedman 1930   82  0.2452  0.0080  0.0383  0.0349  0.0560  0.04
Garcia 2007   80  0.3184  0.0074  0.0467  0.0434  0.2142  0.09
Garcia 2007b   85  0.1580  0.0085  0.0369  0.0362  0.0385  0.03
Gierzod 1998   23  0.5891  0.0054  0.0550  0.0571  0.0362  0.04
Gornostaeva 1994   34  0.5557  0.0052  0.0646  0.0648  0.0556  0.05
Groot 1988   5  0.7113  0.014  0.175  0.5115  0.404  0.45
Harasiewicz 1955   47  0.5234  0.0017  0.0614  0.3538  0.1523  0.23
Hatto 1993   77  0.355  0.0442  0.0544  0.0956  0.0357  0.05
Hatto 1997   75  0.3881  0.0057  0.0458  0.0464  0.0376  0.03
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   76  0.3678  0.0045  0.0445  0.0849  0.0551  0.06
Kapell 1951   57  0.4921  0.0163  0.0464  0.0461  0.0459  0.04
Kissin 1993   22  0.5817  0.0126  0.0713  0.3635  0.2319  0.29
Kushner 1989   20  0.5858  0.0040  0.0542  0.1149  0.0548  0.07
Luisada 1991   54  0.5026  0.0159  0.0463  0.0472  0.0364  0.03
Lushtak 2004   55  0.4970  0.0047  0.0647  0.0660  0.0455  0.05
Malcuzynski 1961   4  0.716  0.038  0.134  0.5323  0.307  0.40
Magaloff 1978   6  0.697  0.036  0.138  0.4524  0.338  0.39
Magin 1975   37  0.5429  0.0027  0.0634  0.1838  0.1431  0.16
Michalowski 1933   83  0.2161  0.0076  0.0377  0.0375  0.0371  0.03
Milkina 1970   11  0.6572  0.0018  0.0915  0.3523  0.3016  0.32
Mohovich 1999   10  0.6674  0.009  0.0911  0.4027  0.2517  0.32
Moravec 1969   14  0.644  0.0513  0.0623  0.3114  0.459  0.37
Morozova 2008   40  0.5333  0.0031  0.0626  0.2850  0.0536  0.12
Neighaus 1950   8  0.6739  0.0016  0.0910  0.4239  0.1722  0.27
Niedzielski 1931   31  0.5651  0.0032  0.0731  0.212  0.5314  0.33
Ohlsson 1999   48  0.5228  0.0062  0.0465  0.0480  0.0370  0.03
Osinska 1989   49  0.5236  0.0064  0.0373  0.0358  0.0465  0.03
Pachmann 1927   58  0.4854  0.0046  0.0460  0.0432  0.2438  0.10
Paderewski 1930   67  0.4337  0.0081  0.0381  0.0384  0.0288  0.02
Perlemuter 1992   50  0.5230  0.0030  0.0530  0.2155  0.0439  0.09
Pierdomenico 2008   30  0.5625  0.0114  0.0617  0.3418  0.3115  0.32
Poblocka 1999   59  0.4785  0.0072  0.0370  0.0381  0.0366  0.03
Rabcewiczowa 1932   71  0.4086  0.0082  0.0371  0.0379  0.0368  0.03
Rachmaninoff 1923   15  0.632  0.103  0.191  0.612  0.571  0.59
Rangell 2001   45  0.5222  0.0149  0.0549  0.0559  0.0463  0.04
Richter 1976   41  0.5316  0.0128  0.0725  0.2827  0.1825  0.22
Rosen 1989   53  0.5069  0.0065  0.0385  0.0368  0.0380  0.03
Rosenthal 1930   32  0.5638  0.0038  0.0733  0.1831  0.2527  0.21
Rosenthal 1931   51  0.5055  0.0033  0.0932  0.2120  0.3720  0.28
Rosenthal 1931b   36  0.5541  0.0023  0.0621  0.3112  0.4211  0.36
Rosenthal 1931c   26  0.5643  0.0039  0.0638  0.1335  0.1832  0.15
Rosenthal 1931d   21  0.5844  0.0024  0.0920  0.3210  0.4110  0.36
Rossi 2007   86  0.1189  0.0086  0.0376  0.0384  0.0287  0.02
Rubinstein 1939   79  0.3453  0.0079  0.0384  0.0330  0.3040  0.09
Rubinstein 1952   25  0.5748  0.0048  0.0648  0.0625  0.3433  0.14
Rubinstein 1966   52  0.5056  0.0035  0.0640  0.1141  0.1534  0.13
Schilhawsky 1960   18  0.6212  0.0219  0.0722  0.3139  0.1626  0.22
Shebanova 2002   46  0.5223  0.0155  0.0456  0.0458  0.0561  0.04
Smith 1975   62  0.4667  0.0067  0.0375  0.0364  0.0467  0.03
Sokolov 2002   44  0.5271  0.0056  0.0555  0.0565  0.0458  0.04
Sztompka 1959   78  0.3440  0.0083  0.0382  0.0375  0.0369  0.03
Tomsic 1995   24  0.5779  0.0025  0.0628  0.2638  0.1329  0.18
Uninsky 1932   64  0.4531  0.0066  0.0374  0.0367  0.0477  0.03
Uninsky 1971   66  0.4482  0.0070  0.0466  0.0470  0.0372  0.03
Wasowski 1980   12  0.6520  0.0120  0.0624  0.294  0.4112  0.34
Zak 1937   1  0.763  0.092  0.363  0.555  0.512  0.53
Zak 1951   2  0.751  0.321  0.322  0.568  0.503  0.53
Average   3  0.7227  0.007  0.137  0.4773  0.0337  0.12
Random 1   91  -0.1187  0.0091  0.0191  0.0153  0.0490  0.02
Random 2   89  -0.0365  0.0089  0.0289  0.0240  0.1353  0.05
Random 3   90  -0.0560  0.0090  0.0190  0.0181  0.0291  0.01

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).