Cricket Match Results — 30 October 2008

CT20 · (D/N) at Coolidge

Finished

Super

Stanford Superstars

#2 · 2 pts · NRR +1.1 · W

173/4

(20 ov)

Middlesex

#4 · 0 pts · NRR -0.53 · LL

115/10

(17.3 ov)

Superstars won by 58 runs

···1··

1 runs

·11144

11 runs

1·1W·1

3 runs

·2W·41

7 runs

··wd24W4

11 runs

·12wd1W14

9 runs

1411wd11

10 runs

162b1wd·

11 runs

·115wd11·

9 runs

W·1··1

2 runs

12·111

6 runs

4W1·11

7 runs

1W·111

4 runs

1·21·1

5 runs

W1··11

3 runs

141112

10 runs

4···1·

5 runs

·WW

0 runs

Batting

RB4s6sSR

Ed JoyceE. Joyce

4 9 0 0 44.4

AAndrew StraussA. Strauss

14 9 3 0 155.6

Bowling

OMRWEcon

DDave MohammedD. Mohammed

1.3 0 10 2 6.7

LLennox CushL. Cush

4 0 27 3 6.8

MATCH STATS Super MID

PP 35/2 (5.8) 42/4 (7)

Middle 75/1 (7.5) 67/4 (6.7)

Death 59/1 (14.8) 5/2 (3.3)

4s 5 10

6s 14 1

Dots 38% 30%

Extras 2 10

Best P'ship 57(4) 35(5)

Runs

SuperMID

Date and time 30/10/2008 · 21:30

Competition Caribbean T20 · (D/N) at Coolidge

Toss Middlesex won the toss, elected to bowling

Playing XI

Chris GayleC —

Andre Fletcher —

Shivnarine Chanderpaul —

Ramnaresh Sarwan —

Sylvester Joseph —

Kieron Pollard —

Daren Sammy —

Lennox Cush —

Daren Powell —

Rayad Emrit —

Dave Mohammed —

Playing XI

Shaun UdalC —

Ed Joyce —

Andrew Strauss —

Neil Dexter —

Tyron Henderson —

Eoin Morgan —

Dawid Malan —

Ben Scott —

Tim Murtagh —

Steven Finn —

Alan Richardson —

Form — last 1 matches

1W0L100%

W T& 22runs

SuStanford Superstars 146/5

T&Trinidad & Tobago 124/8

25-10-2008 · CT20

These teams have not met recently.

Form — last 2 matches

0W2L0%

EN 12runs L T& 5wkts

T&Trinidad & Tobago 122/5

#TeamPWLPTS

England 2 2 0 4

2Stanford Superstars 1 1 0 2

3Trinidad & Tobago 3 1 2 2

Middlesex 2 0 2 0

#TeamPWLNRNRRPTS

England 2 2 0 — +0.325 4

2Stanford Superstars 1 1 0 — +1.100 2

3Trinidad & Tobago 3 1 2 — -0.228 2

Middlesex 2 0 2 — -0.528 0

#TeamLast 5

EnglandWW

2Stanford SuperstarsW

3Trinidad & TobagoLWL

MiddlesexLL

Predictions Stat

0%20%40%60%80%100% 27 Sept16 Oct2 Nov

Method	Accuracy	Record	ROI
ML	68.8%	53 – 24	+4.7%
AI 1	69.6%	55 – 24	+5.2%
AI 2	68.8%	53 – 24	+3.6%
Math	64.1%	50 – 28	-3.1%
Books	68.4%	54 – 25	-0.7%

How we measure this Updated 2 Nov 2026

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