AverageTempo

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   44  0.7330  0.0038  0.0450  0.04X  AverageTempo29  0.00
Bacha 1997   29  0.8124  0.0027  0.1030  0.10X  AverageTempo2  0.00
Barbosa 1983   32  0.8036  0.0031  0.0637  0.06X  AverageTempo47  0.00
Biret 1990   34  0.797  0.0322  0.1125  0.22X  AverageTempo40  0.00
Block 1995   50  0.6340  0.0050  0.0734  0.07X  AverageTempo20  0.00
Brailowsky 1960   25  0.8349  0.0032  0.0832  0.08X  AverageTempo11  0.00
Chiu 1999   19  0.868  0.0315  0.1116  0.36X  AverageTempo13  0.00
Clidat 1994   15  0.8717  0.0116  0.0920  0.32X  AverageTempo15  0.00
Cohen 1997   31  0.8044  0.0034  0.1127  0.11X  AverageTempo30  0.00
Cortot 1951   46  0.6948  0.0040  0.0449  0.04X  AverageTempo43  0.00
Csalog 1996   4  0.914  0.064  0.198  0.61X  AverageTempo51  0.00
Czerny 1990   23  0.8513  0.0121  0.0915  0.37X  AverageTempo36  0.00
Ezaki 2006   13  0.8910  0.0213  0.1511  0.55X  AverageTempo1  0.00
Ferenczy 1958   8  0.903  0.153  0.233  0.67X  AverageTempo8  0.00
Fliere 1977   21  0.8521  0.0126  0.1026  0.19X  AverageTempo7  0.00
Fou 1978   9  0.8922  0.0111  0.209  0.59X  AverageTempo25  0.00
Francois 1956   49  0.6545  0.0048  0.0444  0.04X  AverageTempo53  0.00
Grinberg 1951   33  0.8038  0.0028  0.0733  0.07X  AverageTempo19  0.00
Hatto 1993   12  0.8926  0.009  0.1813  0.55X  AverageTempo42  0.00
Hatto 1997   6  0.9014  0.015  0.185  0.64X  AverageTempo6  0.00
Indjic 2001   7  0.905  0.036  0.277  0.62X  AverageTempo24  0.00
Jonas 1947   41  0.7519  0.0143  0.0447  0.04X  AverageTempo22  0.00
Kapell 1951   3  0.9211  0.027  0.234  0.65X  AverageTempo31  0.00
Kiepura 1999   48  0.6546  0.0044  0.0445  0.04X  AverageTempo3  0.00
Kushner 1989   14  0.889  0.028  0.206  0.63X  AverageTempo28  0.00
Luisada 1991   47  0.6535  0.0047  0.0540  0.05X  AverageTempo4  0.00
Lushtak 2004   16  0.8723  0.0120  0.1021  0.27X  AverageTempo18  0.00
Magaloff 1978   24  0.8442  0.0018  0.0918  0.35X  AverageTempo14  0.00
Meguri 1997   1  0.922  0.212  0.221  0.73X  AverageTempo48  0.00
Milkina 1970   5  0.9133  0.0010  0.2510  0.57X  AverageTempo32  0.00
Mohovich 1999   11  0.8943  0.0012  0.1612  0.55X  AverageTempo26  0.00
Niedzielski 1931   42  0.7525  0.0036  0.1029  0.10X  AverageTempo21  0.00
Ohlsson 1999   2  0.921  0.261  0.262  0.70X  AverageTempo41  0.00
Olejniczak 1990   22  0.8547  0.0023  0.0923  0.23X  AverageTempo49  0.00
Osinska 1989   43  0.7316  0.0146  0.0542  0.05X  AverageTempo10  0.00
Rangell 2001   18  0.8612  0.0117  0.0917  0.36X  AverageTempo38  0.00
Richter 1976   40  0.7739  0.0039  0.0446  0.04X  AverageTempo37  0.00
Rubinstein 1938   38  0.7750  0.0037  0.0539  0.05X  AverageTempo44  0.00
Rubinstein 1952   30  0.8034  0.0035  0.0931  0.09X  AverageTempo50  0.00
Rubinstein 1961   36  0.7828  0.0041  0.0448  0.04X  AverageTempo46  0.00
Rubinstein 1966   37  0.7831  0.0042  0.0638  0.06X  AverageTempo52  0.00
Shebanova 2002   27  0.8227  0.0030  0.0735  0.07X  AverageTempo9  0.00
Smidowicz 1948   17  0.8632  0.0024  0.0824  0.22X  AverageTempo35  0.00
Smidowicz 1948b   20  0.8637  0.0025  0.1022  0.24X  AverageTempo34  0.00
Smith 1975   28  0.8218  0.0119  0.1119  0.33X  AverageTempo16  0.00
Sofronitsky 1949   39  0.7741  0.0045  0.0543  0.05X  AverageTempo17  0.00
Sztompka 1959   45  0.6929  0.0049  0.0541  0.05X  AverageTempo39  0.00
Tomsic 1995   35  0.7920  0.0133  0.1028  0.10X  AverageTempo33  0.00
Uninsky 1971   10  0.8915  0.0114  0.2014  0.52X  AverageTempo45  0.00
Wasowski 1980   26  0.836  0.0329  0.0636  0.06X  AverageTempo5  0.00
Average Tempo   target  targettarget  targettarget  targettarget  targetX  AverageTempotarget  target
Random 1   51  0.0551  0.0052  0.0351  0.03X  AverageTempo23  0.00
Random 2   52  0.0053  0.0051  0.0252  0.02X  AverageTempo12  0.00
Random 3   53  -0.0152  0.0053  0.0253  0.02X  AverageTempo27  0.00

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).