AverageTempo

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   37  0.8250  0.0035  0.1133  0.11X  AverageTempo29  0.00
Bacha 1997   27  0.8725  0.0025  0.1126  0.22X  AverageTempo2  0.00
Barbosa 1983   30  0.8642  0.0028  0.1034  0.10X  AverageTempo47  0.00
Biret 1990   28  0.8617  0.0123  0.0925  0.23X  AverageTempo40  0.00
Block 1995   50  0.7441  0.0048  0.0647  0.06X  AverageTempo20  0.00
Brailowsky 1960   26  0.8838  0.0029  0.1230  0.12X  AverageTempo11  0.00
Chiu 1999   21  0.8921  0.0021  0.1221  0.34X  AverageTempo13  0.00
Clidat 1994   12  0.9120  0.0014  0.1713  0.61X  AverageTempo15  0.00
Cohen 1997   32  0.8519  0.0033  0.1229  0.12X  AverageTempo30  0.00
Cortot 1951   40  0.8037  0.0036  0.0839  0.08X  AverageTempo43  0.00
Csalog 1996   3  0.933  0.164  0.305  0.78X  AverageTempo51  0.00
Czerny 1990   20  0.899  0.0213  0.1816  0.52X  AverageTempo36  0.00
Ezaki 2006   11  0.9110  0.0212  0.2011  0.63X  AverageTempo1  0.00
Ferenczy 1958   9  0.928  0.028  0.197  0.72X  AverageTempo8  0.00
Fliere 1977   16  0.9028  0.0019  0.1318  0.41X  AverageTempo7  0.00
Fou 1978   23  0.8834  0.0027  0.1132  0.11X  AverageTempo25  0.00
Francois 1956   43  0.7932  0.0040  0.0840  0.08X  AverageTempo53  0.00
Grinberg 1951   31  0.8630  0.0030  0.0936  0.09X  AverageTempo19  0.00
Hatto 1993   6  0.9231  0.006  0.328  0.72X  AverageTempo42  0.00
Hatto 1997   5  0.934  0.123  0.233  0.79X  AverageTempo6  0.00
Indjic 2001   4  0.932  0.202  0.234  0.79X  AverageTempo24  0.00
Jonas 1947   29  0.8618  0.0132  0.1231  0.12X  AverageTempo22  0.00
Kapell 1951   1  0.947  0.035  0.322  0.80X  AverageTempo31  0.00
Kiepura 1999   49  0.7535  0.0039  0.0742  0.07X  AverageTempo3  0.00
Kushner 1989   10  0.915  0.057  0.2810  0.70X  AverageTempo28  0.00
Luisada 1991   44  0.7845  0.0043  0.0937  0.09X  AverageTempo4  0.00
Lushtak 2004   19  0.8912  0.0122  0.1022  0.29X  AverageTempo18  0.00
Magaloff 1978   34  0.8444  0.0034  0.1228  0.12X  AverageTempo14  0.00
Meguri 1997   2  0.941  0.221  0.211  0.84X  AverageTempo48  0.00
Milkina 1970   18  0.8936  0.0020  0.1119  0.40X  AverageTempo32  0.00
Mohovich 1999   13  0.9124  0.0011  0.1614  0.60X  AverageTempo26  0.00
Niedzielski 1931   36  0.8322  0.0031  0.1327  0.13X  AverageTempo21  0.00
Ohlsson 1999   8  0.9223  0.0010  0.229  0.72X  AverageTempo41  0.00
Olejniczak 1990   17  0.8940  0.0018  0.1417  0.42X  AverageTempo49  0.00
Osinska 1989   38  0.8116  0.0142  0.0743  0.07X  AverageTempo10  0.00
Rangell 2001   39  0.8115  0.0141  0.0644  0.06X  AverageTempo38  0.00
Richter 1976   35  0.8333  0.0037  0.0935  0.09X  AverageTempo37  0.00
Rubinstein 1938   45  0.7748  0.0047  0.0649  0.06X  AverageTempo44  0.00
Rubinstein 1952   42  0.7943  0.0046  0.0645  0.06X  AverageTempo50  0.00
Rubinstein 1961   47  0.7546  0.0050  0.0741  0.07X  AverageTempo46  0.00
Rubinstein 1966   48  0.7549  0.0049  0.0550  0.05X  AverageTempo52  0.00
Shebanova 2002   25  0.8829  0.0024  0.1023  0.24X  AverageTempo9  0.00
Smidowicz 1948   14  0.9114  0.0115  0.2512  0.63X  AverageTempo35  0.00
Smidowicz 1948b   15  0.9027  0.0016  0.1915  0.58X  AverageTempo34  0.00
Smith 1975   46  0.7739  0.0044  0.0646  0.06X  AverageTempo16  0.00
Sofronitsky 1949   33  0.8447  0.0038  0.0938  0.09X  AverageTempo17  0.00
Sztompka 1959   41  0.8026  0.0045  0.0648  0.06X  AverageTempo39  0.00
Tomsic 1995   24  0.8813  0.0117  0.1420  0.38X  AverageTempo33  0.00
Uninsky 1971   7  0.926  0.049  0.146  0.74X  AverageTempo45  0.00
Wasowski 1980   22  0.8811  0.0226  0.1224  0.23X  AverageTempo5  0.00
Average Tempo   target  targettarget  targettarget  targettarget  targetX  AverageTempotarget  target
Random 1   51  0.0351  0.0051  0.0351  0.03X  AverageTempo23  0.00
Random 2   53  0.0052  0.0053  0.0253  0.02X  AverageTempo12  0.00
Random 3   52  0.0053  0.0052  0.0252  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).