Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.6871  0.007  0.105  0.4756  0.059  0.15
Anderszewski 2003   6  0.6766  0.0036  0.0532  0.1683  0.0341  0.07
Ashkenazy 1981   73  0.4554  0.0057  0.0368  0.0365  0.0478  0.03
Bacha 2000   68  0.4664  0.0069  0.0365  0.0364  0.0463  0.03
Badura 1965   11  0.644  0.078  0.122  0.5135  0.312  0.40
Barbosa 1983   85  0.3158  0.0087  0.0377  0.0381  0.0369  0.03
Biret 1990   50  0.5255  0.0063  0.0459  0.0457  0.0557  0.04
Blet 2003   34  0.5770  0.0048  0.0455  0.0480  0.0370  0.03
Block 1995   39  0.5656  0.0049  0.0547  0.0579  0.0355  0.04
Blumental 1952   69  0.4673  0.0047  0.0452  0.0486  0.0376  0.03
Boshniakovich 1969   1  0.732  0.132  0.153  0.5165  0.056  0.16
Brailowsky 1960   30  0.5851  0.0085  0.0375  0.0387  0.0283  0.02
Bunin 1987   67  0.4739  0.0042  0.0543  0.1046  0.0834  0.09
Bunin 1987b   77  0.4411  0.0141  0.0541  0.1046  0.0832  0.09
Chiu 1999   53  0.5186  0.0058  0.0367  0.0384  0.0366  0.03
Cohen 1997   87  0.2944  0.0081  0.0286  0.0251  0.0579  0.03
Cortot 1951   62  0.4875  0.0061  0.0460  0.0485  0.0381  0.03
Csalog 1996   84  0.3576  0.0067  0.0373  0.0386  0.0286  0.02
Czerny 1949   22  0.6159  0.0040  0.0537  0.1355  0.0536  0.08
Czerny 1990   7  0.6613  0.0117  0.0716  0.3655  0.0424  0.12
Duchoud 2007   80  0.4238  0.0059  0.0371  0.0369  0.0374  0.03
Ezaki 2006   31  0.5826  0.0160  0.0361  0.0375  0.0362  0.03
Falvay 1989   37  0.577  0.0326  0.0634  0.1644  0.165  0.16
Farrell 1958   60  0.4919  0.0155  0.0546  0.0570  0.0451  0.04
Ferenczy 1958   44  0.5431  0.0084  0.0281  0.0285  0.0287  0.02
Fliere 1977   4  0.6936  0.0011  0.1012  0.4271  0.0413  0.13
Fou 1978   27  0.5965  0.0023  0.1114  0.3767  0.0421  0.12
Francois 1956   15  0.6312  0.015  0.1011  0.4258  0.0420  0.13
Friedman 1923   51  0.5280  0.0082  0.0288  0.0275  0.0390  0.02
Friedman 1923b   59  0.5089  0.0080  0.0282  0.0285  0.0388  0.02
Friedman 1930   29  0.5924  0.0175  0.0374  0.0372  0.0472  0.03
Garcia 2007   52  0.5287  0.0065  0.0457  0.0487  0.0275  0.03
Garcia 2007b   65  0.4749  0.0074  0.0378  0.0384  0.0289  0.02
Gierzod 1998   8  0.6520  0.016  0.0913  0.3963  0.0423  0.12
Gornostaeva 1994   16  0.6314  0.0129  0.0631  0.1768  0.0342  0.07
Groot 1988   61  0.4961  0.0070  0.0362  0.0377  0.0480  0.03
Harasiewicz 1955   17  0.6330  0.0024  0.0824  0.2773  0.0431  0.10
Hatto 1993   64  0.4762  0.0052  0.0451  0.0464  0.0558  0.04
Hatto 1997   56  0.5160  0.0053  0.0645  0.0659  0.0547  0.05
Horowitz 1949   57  0.5153  0.0035  0.0640  0.1171  0.0440  0.07
Indjic 1988   55  0.5188  0.0051  0.0458  0.0459  0.0553  0.04
Kapell 1951   58  0.5143  0.0046  0.0548  0.0586  0.0268  0.03
Kissin 1993   10  0.6447  0.0010  0.0715  0.3765  0.0326  0.11
Kushner 1989   2  0.711  0.311  0.316  0.4637  0.153  0.26
Luisada 1991   35  0.5772  0.0014  0.0723  0.2869  0.0425  0.11
Lushtak 2004   18  0.636  0.049  0.088  0.4558  0.0419  0.13
Malcuzynski 1961   66  0.475  0.0525  0.0736  0.1467  0.0439  0.07
Magaloff 1978   42  0.5535  0.0039  0.0538  0.1372  0.0437  0.07
Magin 1975   33  0.5829  0.0113  0.0910  0.4268  0.0414  0.13
Michalowski 1933   21  0.6127  0.0131  0.0626  0.2569  0.0430  0.10
Milkina 1970   23  0.6167  0.0044  0.0544  0.1086  0.0345  0.05
Mohovich 1999   40  0.5646  0.0062  0.0369  0.0378  0.0477  0.03
Moravec 1969   82  0.419  0.0286  0.0283  0.0270  0.0464  0.03
Morozova 2008   25  0.6032  0.004  0.134  0.4753  0.0410  0.14
Neighaus 1950   12  0.6422  0.0143  0.0542  0.1062  0.0543  0.07
Niedzielski 1931   54  0.5142  0.0079  0.0285  0.0285  0.0385  0.02
Ohlsson 1999   36  0.5721  0.0119  0.0717  0.3563  0.0422  0.12
Osinska 1989   20  0.6263  0.0064  0.0456  0.0466  0.0450  0.04
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   3  0.703  0.093  0.141  0.5828  0.271  0.40
Perlemuter 1992   9  0.6445  0.0037  0.0533  0.1663  0.0435  0.08
Pierdomenico 2008   76  0.4510  0.0215  0.0722  0.2939  0.164  0.22
Poblocka 1999   14  0.6323  0.0112  0.097  0.4655  0.057  0.15
Rabcewiczowa 1932   19  0.6216  0.0116  0.089  0.4360  0.0415  0.13
Rachmaninoff 1923   26  0.5952  0.0038  0.0535  0.1686  0.0338  0.07
Rangell 2001   83  0.3818  0.0134  0.0539  0.1183  0.0344  0.06
Richter 1976   47  0.5384  0.0045  0.0453  0.0453  0.0646  0.05
Rosen 1989   43  0.5578  0.0027  0.0625  0.2681  0.0333  0.09
Rosenthal 1930   38  0.5668  0.0030  0.0628  0.2443  0.0812  0.14
Rosenthal 1931   75  0.4548  0.0076  0.0379  0.0354  0.0554  0.04
Rosenthal 1931b   74  0.4590  0.0073  0.0363  0.0353  0.0659  0.04
Rosenthal 1931c   63  0.4781  0.0054  0.0549  0.0561  0.0460  0.04
Rosenthal 1931d   72  0.4685  0.0072  0.0372  0.0346  0.0749  0.05
Rossi 2007   81  0.4141  0.0088  0.0284  0.0267  0.0465  0.03
Rubinstein 1939   79  0.4334  0.0077  0.0280  0.0287  0.0384  0.02
Rubinstein 1952   86  0.2974  0.0050  0.0450  0.0474  0.0461  0.04
Rubinstein 1966   71  0.4682  0.0078  0.0376  0.0381  0.0471  0.03
Schilhawsky 1960   28  0.5925  0.0133  0.0627  0.2560  0.0527  0.11
Shebanova 2002   13  0.6457  0.0020  0.0821  0.3253  0.0518  0.13
Smith 1975   46  0.5379  0.0066  0.0366  0.0371  0.0467  0.03
Sokolov 2002   78  0.448  0.0218  0.0719  0.3467  0.0328  0.10
Sztompka 1959   24  0.6050  0.0032  0.0529  0.2267  0.0529  0.10
Tomsic 1995   41  0.5528  0.0128  0.0530  0.1842  0.128  0.15
Uninsky 1932   49  0.5377  0.0068  0.0370  0.0377  0.0373  0.03
Uninsky 1971   48  0.5337  0.0056  0.0454  0.0461  0.0552  0.04
Wasowski 1980   70  0.4633  0.0083  0.0287  0.0283  0.0382  0.02
Zak 1937   32  0.5815  0.0122  0.1020  0.3353  0.0516  0.13
Zak 1951   45  0.5417  0.0121  0.1118  0.3453  0.0517  0.13
Random 1   90  -0.2240  0.0090  0.0190  0.0133  0.1656  0.04
Random 2   88  0.0069  0.0071  0.0364  0.031  0.6911  0.14
Random 3   89  -0.1383  0.0089  0.0189  0.0129  0.2648  0.05

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).