Durham vs Middlesex Scorecard & Result

ODCE

Finished

Durham

WLWLW

387/4

(50 ov)

Middlesex

WLLLW

390/5

(48 ov)

Middlesex won by 5 wickets

·1·b·W

1 runs

4wd·4426·

21 runs

··4·11

6 runs

4··123wd

11 runs

·4··wd··

5 runs

···144

9 runs

1··44·

9 runs

b··1·1

2 runs

··444·

12 runs

211212

9 runs

·1·411

7 runs

1·111·

4 runs

·111··

3 runs

·41··1

6 runs

11·142

9 runs

4··1··

5 runs

·1W··1

2 runs

·1·21·

4 runs

11·141

8 runs

122111

8 runs

1··116

9 runs

1wd·wd11·1

6 runs

·21·1·

4 runs

11··11

4 runs

W····1

1 runs

214·41

12 runs

142··1

8 runs

·4441·

13 runs

111441

12 runs

··114·

6 runs

·41111

8 runs

1··42·

7 runs

··4164

15 runs

1244··2wd1

14 runs

114·115wd

13 runs

1·11·2

5 runs

·W1·12

4 runs

11612·

11 runs

11·4·1

7 runs

·1·241

8 runs

·4b214

11 runs

·4·111

7 runs

1··11·

3 runs

·16161

15 runs

1141b1

8 runs

1444wd11

16 runs

·2·11wd4

9 runs

1·1W214

9 runs

Batting

RB4s6sSR

JJoe CracknellJ. Cracknell

1 4 0 0 25

JJosh de CairesJ. Caires

65 48 10 1 135.4

Bowling

OMRWEcon

CCodi YusufC. Yusuf

10.2 0 79 1 7.6

AAG BaileyA. Bailey

10.1 0 83 2 8.2

MATCH STATS DUR MID

PP 39/1 (6.3) 53/1 (8.6)

Middle 48/0 (4.8) 66/0 (6.6)

Death 296/3 (8.6) 267/4 (8.3)

4s 35 45

6s 15 6

Dots 36% 35%

Extras 5 14

Best P'ship 147(3) 119(2)

Date and time 13/08/2025 · 10:00

Competition One-Day Cup (England)

Toss Middlesex won the toss, elected to bowling

Playing XI

Alex Lees —

Emilio Gay —

Will Rhodes —

David Bedingham —

Colin Ackermann —

OG Robinson —

Ben Raine —

George Drissell —

Codi Yusuf —

LS Robinson —

AG Bailey —

Playing XI

Joe Cracknell —

Josh de Caires —

Sam Robson —

Ben Geddes —

Jack Davies —

Luke Hollman —

Nathan Fernandes —

Toby Roland-Jones —

Henry Brookes —

Nathan Gilchrist —

James Feldman —

Form — pichhle 10 match

6W4L60%

NONorthamptonshire 260/10

WOWorcestershire 260/10

Head-to-head — pichhle 3

DU1–1

Form — pichhle 10 match

5W5L50%

NONorthamptonshire 317/9

WOWorcestershire 371/3

Predictions Stat

0%20%40%60%80%100%7 Sept2 Oct21 Oct

Method	Accuracy	Record	ROI
ML	61.5%	32 – 20	-13.8%
AI 1	64.2%	34 – 19	-8.8%
AI 2	64.2%	34 – 19	-9.3%
Math	57.7%	30 – 22	-17%
Books	73.6%	39 – 14	+5%

How we measure thisUpdated 21 Oct 2026