| GAME #1 | ||
| Martin Bromley | Thomas Barber | |
|
9 |
|
| ----------- vs ----------- | ||
|
4 |
|
| Matthew Kyle | Carl Berry | |
| ----- GAME #1 STATS ----- | |||
| Winners Avg 4DR | Losers Avg 4DR | ||
| 4.759 | 4.893 | ||
|
win probability
76.85% of 0.100 = 0.077 4DR points
|
|||
| 4DR Points | Score Points | Total Points | |
|---|---|---|---|
| Winners | +0.077 | +0.005 | +0.082 |
| Losers | -0.077 | +0.004 | -0.073 |
| Name | 4DR Start | Points +/- | 4DR Finish |
|---|---|---|---|
| Martin Bromley | 4.847 | +0.082 | 4.929 |
| Thomas Barber | 4.671 | +0.082 | 4.753 |
| Matthew Kyle | 4.656 | -0.073 | 4.583 |
| Carl Berry | 5.129 | -0.073 | 5.056 |
| GAME #2 | ||
| Nisha Raja | Phil Ashcroft | |
|
6 |
|
| ----------- vs ----------- | ||
|
4 |
|
| Kath Hamflett | Martin Bromley | |
| ----- GAME #2 STATS ----- | |||
| Winners Avg 4DR | Losers Avg 4DR | ||
| 3.928 | 4.148 | ||
|
win probability
87.89% of 0.100 = 0.088 4DR points
|
|||
| 4DR Points | Score Points | Total Points | |
|---|---|---|---|
| Winners | +0.088 | +0.002 | +0.090 |
| Losers | -0.088 | +0.004 | -0.084 |
| Name | 4DR Start | Points +/- | 4DR Finish |
|---|---|---|---|
| Nisha Raja | 3.603 | +0.090 | 3.693 |
| Phil Ashcroft | 4.252 | +0.090 | 4.342 |
| Kath Hamflett | 3.367 | -0.084 | 3.283 |
| Martin Bromley | 4.929 | -0.084 | 4.845 |
| GAME #3 | ||
| Martin Bromley | Nisha Raja | |
|
13 |
|
| ----------- vs ----------- | ||
|
10 |
|
| Jan Van Der Pijl | Janet Leatham | |
| ----- GAME #3 STATS ----- | |||
| Winners Avg 4DR | Losers Avg 4DR | ||
| 4.269 | 3.807 | ||
|
win probability
1.55% of 0.100 = 0.002 4DR points
|
|||
| 4DR Points | Score Points | Total Points | |
|---|---|---|---|
| Winners | +0.002 | +0.003 | +0.005 |
| Losers | -0.002 | +0.010 | +0.008 |
| Name | 4DR Start | Points +/- | 4DR Finish |
|---|---|---|---|
| Martin Bromley | 4.845 | +0.005 | 4.850 |
| Nisha Raja | 3.693 | +0.005 | 3.698 |
| Jan Van Der Pijl | 3.859 | +0.008 | 3.867 |
| Janet Leatham | 3.755 | +0.008 | 3.763 |
| GAME #4 | ||
| Martin Bromley | Janet Leatham | |
|
12 |
|
| ----------- vs ----------- | ||
|
6 |
|
| Peter Preston | Angela Campbel-Al-Saidi | |
| ----- GAME #4 STATS ----- | |||
| Winners Avg 4DR | Losers Avg 4DR | ||
| 4.307 | 4.174 | ||
|
win probability
23.23% of 0.100 = 0.023 4DR points
|
|||
| 4DR Points | Score Points | Total Points | |
|---|---|---|---|
| Winners | +0.023 | +0.006 | +0.029 |
| Losers | -0.023 | +0.006 | -0.017 |
| Name | 4DR Start | Points +/- | 4DR Finish |
|---|---|---|---|
| Martin Bromley | 4.850 | +0.029 | 4.879 |
| Janet Leatham | 3.763 | +0.029 | 3.792 |
| Peter Preston | 4.721 | -0.017 | 4.704 |
| Angela Campbel-Al-Saidi | 3.626 | -0.017 | 3.609 |
| GAME #5 | ||
| Martin Bromley | Peter Preston | |
|
4 |
|
| ----------- vs ----------- | ||
|
3 |
|
| Thomas Barber | Matthew Kyle | |
| ----- GAME #5 STATS ----- | |||
| Winners Avg 4DR | Losers Avg 4DR | ||
| 4.792 | 4.608 | ||
|
win probability
16.12% of 0.100 = 0.016 4DR points
|
|||
| 4DR Points | Score Points | Total Points | |
|---|---|---|---|
| Winners | +0.016 | +0.001 | +0.017 |
| Losers | -0.016 | +0.003 | -0.013 |
| Name | 4DR Start | Points +/- | 4DR Finish |
|---|---|---|---|
| Martin Bromley | 4.879 | +0.017 | 4.896 |
| Peter Preston | 4.704 | +0.017 | 4.721 |
| Thomas Barber | 4.689 | -0.013 | 4.676 |
| Matthew Kyle | 4.527 | -0.013 | 4.514 |
| GAME #6 | ||
| Zak Golombeck | Janet Leatham | |
|
12 |
|
| ----------- vs ----------- | ||
|
3 |
|
| Martin Bromley | Jean Melia | |
| ----- GAME #6 STATS ----- | |||
| Winners Avg 4DR | Losers Avg 4DR | ||
| 3.898 | 4.085 | ||
|
win probability
84.3% of 0.100 = 0.084 4DR points
|
|||
| 4DR Points | Score Points | Total Points | |
|---|---|---|---|
| Winners | +0.084 | +0.009 | +0.093 |
| Losers | -0.084 | +0.003 | -0.081 |
| Name | 4DR Start | Points +/- | 4DR Finish |
|---|---|---|---|
| Zak Golombeck | 4.077 | +0.093 | 4.170 |
| Janet Leatham | 3.719 | +0.093 | 3.812 |
| Martin Bromley | 4.896 | -0.081 | 4.815 |
| Jean Melia | 3.274 | -0.081 | 3.193 |