COMBINED OVERALL BREAK-BACK STATS SINCE MARCH 2014:-
WTA – 440 trades, 259 winners (58.86%) – 9.30% above WTA top 100 average
ATP – 297 trades, 131 winners (44.11%) – 10.79% above ATP top 100 average
18-24 MAY BREAK-BACK STATS (after 24th May):-
WTA – 41 trades, 22 winners (53.66%) – 4.10% above WTA top 100 average
ATP – 21 trades, 6 winners (28.57%) – 4.85% below ATP top 100 average
ROME MASTERS BREAK-BACK STATS (after 18th May):-
WTA – 47 trades, 26 winners (55.32%) – 5.76% above WTA top 100 average
ATP – 20 trades, 9 winners (45.00%) – 11.58% above ATP top 100 average
MADRID MASTERS BREAK-BACK STATS (after 11th May):-
WTA – 27 trades, 13 winners (48.15%) – 1.41% below WTA top 100 average
ATP – 26 trades, 12 winners (46.15%) – 12.73% above ATP top 100 average
COMBINED MUNICH/OEIRAS BREAK-BACK STATS (after 4th May):-
WTA – 16 trades, 7 winners (43.75%) – 5.21% below WTA top 100 average
ATP – 39 trades, 16 winners (40.00%) – 6.58% above ATP top 100 average
COMBINED 21-27th APRIL BREAK-BACK STATS (after 27th April):-
WTA – 36 trades, 26 winners (72.22%) – 22.66% above WTA top 100 average
ATP – 29 trades, 10 winners (34.48%) – 1.06% above ATP top 100 average
MONTE CARLO MASTERS/WTA KUALA LUMPUR BREAK-BACK STATS (after 20th April):-
WTA – 6 trades, 5 winners (83.33%) – 38.77% above WTA top 100 average
ATP – 33 trades, 21 winners (63.64%) – 30.22% above ATP top 100 average
COMBINED 7th-14th APRIL BREAK-BACK STATS (after 13th April):-
WTA – 47 trades, 22 winners (46.81%) – 2.75% below WTA top 100 average
ATP – 33 trades, 17 winners (51.52%) – 18.10% above ATP top 100 average
COMBINED CHARLESTON/MONTERREY BREAK-BACK STATS (at end of tournament):-
WTA – 82 trades, 50 winners (60.98%) – 11.42% above WTA top 100 average
MIAMI BREAK-BACK STATS (at end of tournament):-
WTA – 65 trades, 47 winners (72.31%) – 22.75% above WTA top 100 average
ATP – 49 trades, 19 winners (38.78%) – 5.36% above ATP top 100 average
INDIAN WELLS BREAK-BACK STATS (at end of tournament):-
WTA – 71 trades, 39 winners (54.93%) – 5.37% above WTA top 100 average
ATP – 47 trades, 21 winners (44.68%) – 11.26% above ATP top 100 average
The above stats clearly illustrate the edge that the break-back stats in the TennisRatings Tier Two Daily Spreadsheets have.
Since I started keeping records of the break-back percentages in events in March, we can see that the players recommended by the spreadsheets to lay when a break up have generated at least 5% more winning trades than either the relevant ATP/WTA top 100 break-back mean, with WTA Miami in particular proving spectacularly successful.
Knowing which players to lay with a positive expectation when a break up is a crucial asset for swing traders and this information is unique to TennisRatings.
If you would like the spreadsheet with full break-back information simply sign-up for TennisRatings updates.
