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ABT — Automatic Ball Trap

Automatic Ball Trap at National Clay Shooting Centre

National Clay Shooting Centre

Saturday, 21 March 2026 · CPSA Results →

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Event Rating

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Entries

83.9%

Field Average

93.5%

Highest Score

57.5%

Lowest Score

Top 3 Overall

🥇 =1

David Sipling

Matthew Panter

Oliver Sampson

187/200

93.50%

Event Difficulty

83.9% This Event

vs. National Clay Shooting Centre historical average (Automatic Ball Trap)

↑ +2.6% easier than usual

Ground avg: 81.3%

Class Winners

A 11 entered

187/200 — 93.50%

David Sipling(tied) Matthew Panter(tied)

3: Richard Chapple — 92.50%

B 27 entered

187/200 — 93.50%

Oliver Sampson

2: John Reilly — 93.00%

C 15 entered

177/200 — 88.50%

James Farrell(tied) Steven Tunney(tied)

3: Christopher McReynolds — 88.00%

D 8 entered

164/200 — 82.00%

Ian Kirby

2: Graeme Corbin — 81.50%

Field Shape

83.9%

Field avg

Automatic Ball Trap at National Clay Shooting Centre had a 36.0 point scoring spread across 61 entries.

Spread 36.0 pts

Front 93.5%

Largest class B

A compact read of how the field performed: average, spread and where most shooters sat.

Score Distribution

90–100%

14 23.0%

80–89%

33 54.1%

70–79%

9 14.8%

60–69%

4 6.6%

50–59%

1 1.6%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

23.0%

14 / 61

80%+

77.0%

47 / 61

70%+

91.8%

56 / 61

60%+

98.4%

60 / 61

50%+

100.0%

61 / 61

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Register free for historical ground trends, class averages and spread, score charts, class composition and a detailed classification breakdown.

Historical Trends at National Clay Shooting Centre

Automatic Ball Trap performance across events held at this ground.

Last 12 months

Overall Average Trend

Classification Trend Comparison

Classification Deep Dive

4 active classifications

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Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

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Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

Event Performance Analysis

Registered insight

Average by Class

Class averages make it easier to see where the event played hardest across the field.

Field Spread by Class

88.0-93.5%

67.5-93.5%

68.0-88.5%

57.5-82.0%

Boxes show the middle 50% of each class. Orange line is the median.

Top 10 Score Lollipop

A quick visual read of how far the front of the field separated itself.

Score Histogram

High gun: 93.5%. The high-gun band is outlined.

Class Breakdown

Rotate your device to see High/Low scores and the class winner

Class	Count	Average	High	Low	Winner
A	11	90.7%	93.5%	88.0%	David Sipling
B	27	85.6%	93.5%	67.5%	Oliver Sampson
C	15	81.3%	88.5%	68.0%	James Farrell
D	8	73.4%	82.0%	57.5%	Ian Kirby

Class Composition

11 18.0%

27 44.3%

15 24.6%

8 13.1%

Largest class: B — 27 competitors (44.3%)

Full Results — 61 entries

🔒 The Class Rank and vs Class Avg columns are hidden — register free to unlock both insights.

Class A

Score 187/200

vs Class Avg +0.0%

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Class A

Score 187/200

vs Class Avg +0.0%

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Class B

Score 187/200

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Class B

Score 186/200

vs Class Avg +0.0%

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Class B

Score 185/200

vs Class Avg +0.0%

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Class B

Score 185/200

vs Class Avg +0.0%

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Class A

Score 185/200

vs Class Avg +0.0%

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Class B

Score 185/200

vs Class Avg +0.0%

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Class A

Score 184/200

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Class A

Score 183/200

vs Class Avg +0.0%

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Class A

Score 181/200

vs Class Avg +0.0%

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Class B

Score 180/200

vs Class Avg +0.0%

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Class A

Score 180/200

vs Class Avg +0.0%

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Class B

Score 180/200

vs Class Avg +0.0%

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Class B

Score 179/200

vs Class Avg +0.0%

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Class A

Score 179/200

vs Class Avg +0.0%

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Class B

Score 179/200

vs Class Avg +0.0%

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Class A

Score 177/200

vs Class Avg +0.0%

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Class C

Score 177/200

vs Class Avg +0.0%

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Class A

Score 177/200

vs Class Avg +0.0%

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Class C

Score 177/200

vs Class Avg +0.0%

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Class C

Score 176/200

vs Class Avg +0.0%

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Class A

Score 176/200

vs Class Avg +0.0%

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Class B

Score 176/200

vs Class Avg +0.0%

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Class C

Score 174/200

vs Class Avg +0.0%

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Class B

Score 174/200

vs Class Avg +0.0%

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Class C

Score 174/200

vs Class Avg +0.0%

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Class C

Score 172/200

vs Class Avg +0.0%

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Class C

Score 172/200

vs Class Avg +0.0%

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Class B

Score 172/200

vs Class Avg +0.0%

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Class B

Score 171/200

vs Class Avg +0.0%

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Class B

Score 171/200

vs Class Avg +0.0%

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Class B

Score 171/200

vs Class Avg +0.0%

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Class B

Score 171/200

vs Class Avg +0.0%

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Class B

Score 170/200

vs Class Avg +0.0%

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Class B

Score 168/200

vs Class Avg +0.0%

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Class B

Score 168/200

vs Class Avg +0.0%

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Class B

Score 167/200

vs Class Avg +0.0%

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Class B

Score 167/200

vs Class Avg +0.0%

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Class B

Score 167/200

vs Class Avg +0.0%

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Class B

Score 164/200

vs Class Avg +0.0%

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Class D

Score 164/200

vs Class Avg +0.0%

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Class C

Score 163/200

vs Class Avg +0.0%

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Class D

Score 163/200

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Class D

Score 162/200

vs Class Avg +0.0%

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Class B

Score 162/200

vs Class Avg +0.0%

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Class C

Score 161/200

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Class C

Score 159/200

vs Class Avg +0.0%

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Class C

Score 158/200

vs Class Avg +0.0%

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Class B

Score 157/200

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Class C

Score 155/200

vs Class Avg +0.0%

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Class D

Score 154/200

vs Class Avg +0.0%

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Class C

Score 148/200

vs Class Avg +0.0%

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Class D

Score 147/200

vs Class Avg +0.0%

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Class B

Score 146/200

vs Class Avg +0.0%

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Class D

Score 144/200

vs Class Avg +0.0%

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Class C

Score 137/200

vs Class Avg +0.0%

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Class C

Score 136/200

vs Class Avg +0.0%

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Class B

Score 135/200

vs Class Avg +0.0%

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Class D

Score 126/200

vs Class Avg +0.0%

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Class D

Score 115/200

vs Class Avg +0.0%

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	David Sipling	A	187/200	93.50%	🔒 1	🔒 +0.0%
1=	Matthew Panter	A	187/200	93.50%	🔒 1	🔒 +0.0%
1=	Oliver Sampson	B	187/200	93.50%	🔒 1	🔒 +0.0%
4	John Reilly	B	186/200	93.00%	🔒 1	🔒 +0.0%
5=	Allen Warren	B	185/200	92.50%	🔒 1	🔒 +0.0%
5=	David O'Donnell	B	185/200	92.50%	🔒 1	🔒 +0.0%
5=	Richard Chapple	A	185/200	92.50%	🔒 1	🔒 +0.0%
5=	Richard Lees-Styler	B	185/200	92.50%	🔒 1	🔒 +0.0%
9	Ian Woodhead	A	184/200	92.00%	🔒 1	🔒 +0.0%
10	Cory Doble	A	183/200	91.50%	🔒 1	🔒 +0.0%
11	Darren Burtenshaw	A	181/200	90.50%	🔒 1	🔒 +0.0%
12=	Chris Tate	B	180/200	90.00%	🔒 1	🔒 +0.0%
12=	David Lloyd	A	180/200	90.00%	🔒 1	🔒 +0.0%
12=	Paul Clark	B	180/200	90.00%	🔒 1	🔒 +0.0%
15=	Joshua Kind	B	179/200	89.50%	🔒 1	🔒 +0.0%
15=	Michael Webber	A	179/200	89.50%	🔒 1	🔒 +0.0%
15=	Ray Sutton	B	179/200	89.50%	🔒 1	🔒 +0.0%
18=	Darren Wood	A	177/200	88.50%	🔒 1	🔒 +0.0%
18=	James Farrell	C	177/200	88.50%	🔒 1	🔒 +0.0%
18=	John Lucy	A	177/200	88.50%	🔒 1	🔒 +0.0%
18=	Steven Tunney	C	177/200	88.50%	🔒 1	🔒 +0.0%
22=	Christopher McReynolds	C	176/200	88.00%	🔒 1	🔒 +0.0%
22=	Ian Shaw	A	176/200	88.00%	🔒 1	🔒 +0.0%
22=	Tony Robbins	B	176/200	88.00%	🔒 1	🔒 +0.0%
25=	Dean Rickford	C	174/200	87.00%	🔒 1	🔒 +0.0%
25=	Matthew Lawrence	B	174/200	87.00%	🔒 1	🔒 +0.0%
25=	Rhys Dixon	C	174/200	87.00%	🔒 1	🔒 +0.0%
28=	Christopher Holmes	C	172/200	86.00%	🔒 1	🔒 +0.0%
28=	Julian Fairburn	C	172/200	86.00%	🔒 1	🔒 +0.0%
28=	Neil Leeming	B	172/200	86.00%	🔒 1	🔒 +0.0%
31=	Chris Bushell	B	171/200	85.50%	🔒 1	🔒 +0.0%
31=	Ian Hull	B	171/200	85.50%	🔒 1	🔒 +0.0%
31=	Nigel Caves	B	171/200	85.50%	🔒 1	🔒 +0.0%
31=	Paul Lilly	B	171/200	85.50%	🔒 1	🔒 +0.0%
35	Mark Baker	B	170/200	85.00%	🔒 1	🔒 +0.0%
36=	Neil Orr	B	168/200	84.00%	🔒 1	🔒 +0.0%
36=	Steve Tarrant	B	168/200	84.00%	🔒 1	🔒 +0.0%
38=	Andrew Dearman	B	167/200	83.50%	🔒 1	🔒 +0.0%
38=	Paul Atkinson	B	167/200	83.50%	🔒 1	🔒 +0.0%
38=	Stephen Parker	B	167/200	83.50%	🔒 1	🔒 +0.0%
41=	David Wright	B	164/200	82.00%	🔒 1	🔒 +0.0%
41=	Ian Kirby	D	164/200	82.00%	🔒 1	🔒 +0.0%
43=	Brett Winfield	C	163/200	81.50%	🔒 1	🔒 +0.0%
43=	Graeme Corbin	D	163/200	81.50%	🔒 1	🔒 +0.0%
45=	Ian Sedgley	D	162/200	81.00%	🔒 1	🔒 +0.0%
45=	Michael Barker	B	162/200	81.00%	🔒 1	🔒 +0.0%
47	Alan Haynes	C	161/200	80.50%	🔒 1	🔒 +0.0%
48	Sue Bate	C	159/200	79.50%	🔒 1	🔒 +0.0%
49	Graham Carter	C	158/200	79.00%	🔒 1	🔒 +0.0%
50	Fletcher Watson	B	157/200	78.50%	🔒 1	🔒 +0.0%
51	Michele Rowe	C	155/200	77.50%	🔒 1	🔒 +0.0%
52	Darren Crowther	D	154/200	77.00%	🔒 1	🔒 +0.0%
53	Anne Phillips	C	148/200	74.00%	🔒 1	🔒 +0.0%
54	Elise Dixon	D	147/200	73.50%	🔒 1	🔒 +0.0%
55	Mark Wright	B	146/200	73.00%	🔒 1	🔒 +0.0%
56	Rebecca LLoyd	D	144/200	72.00%	🔒 1	🔒 +0.0%
57	Melissa Callum	C	137/200	68.50%	🔒 1	🔒 +0.0%
58	Arnold Cliffe	C	136/200	68.00%	🔒 1	🔒 +0.0%
59	Phil Rowley	B	135/200	67.50%	🔒 1	🔒 +0.0%
60	Colin Taylor	D	126/200	63.00%	🔒 1	🔒 +0.0%
61	Daniel Walker	D	115/200	57.50%	🔒 1	🔒 +0.0%

Other ABT Events at National Clay Shooting Centre

⚙ Performance Stats DRAG TO MOVE

0.303s ● FAST

DB 93% · Py 5% · Render 2%

12 queries · avg 23.4ms · max 91.5ms

Render Breakdown

DB Logic (Pre-Render) 0.2805s

Python Logic (Pre-Render) 0.0161s

Full Page Render 0.0060s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.093s

shoot_score 2× 0.090s

site_configuration 2× 0.090s

ground 1× 0.002s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [06:16:42.834] 1.7ms

shoot_event

SELECT shoot_event.id AS shoot_event_id, shoot_event.cpsa_fixture_id AS shoot_event_cpsa_fixture_id, shoot_event.name AS shoot_event_name, shoot_event.date AS shoot_event_date, shoot_event.discipline AS shoot_event_discipline, shoot_event.ground AS shoot_event_ground, shoot_event.url AS shoot_event_…

#2 [06:16:42.923] 88.2ms

shoot_score

SELECT shoot_score.id AS shoot_score_id, shoot_score.targets AS shoot_score_targets, shoot_score.hits AS shoot_score_hits, shoot_score.points AS shoot_score_points, shoot_score.percentage AS shoot_score_percentage, shoot_score.shooter_id AS shoot_score_shooter_id, shoot_score.event_id AS shoot_score…

#3 [06:16:42.929] 2.2ms

shoot_score

SELECT avg(shoot_score.percentage) AS avg_1 
FROM shoot_score JOIN shoot_event ON shoot_score.event_id = shoot_event.id 
WHERE shoot_event.ground = %(ground_1)s AND shoot_event.discipline = %(discipline_1)s AND shoot_event.is_scraped = true AND shoot_event.admin_hidden != true AND shoot_event.id != …

#4 [06:16:43.022] 91.5ms

shoot_event

SELECT shoot_event.id AS shoot_event_id, shoot_event.cpsa_fixture_id AS shoot_event_cpsa_fixture_id, shoot_event.name AS shoot_event_name, shoot_event.date AS shoot_event_date, shoot_event.discipline AS shoot_event_discipline, shoot_event.ground AS shoot_event_ground, shoot_event.url AS shoot_event_…

#5 [06:16:43.024] 1.0ms

event_review

SELECT avg(event_review.rating) AS avg_1, count(event_review.id) AS count_1 
FROM event_review 
WHERE event_review.event_id = %(event_id_1)s

#6 [06:16:43.026] 1.0ms

event_review

SELECT count(*) AS count_1 
FROM (SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.review…

#7 [06:16:43.028] 1.0ms

event_review

SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.reviewer_hash AS event_review_reviewer_h…

#8 [06:16:43.029] 0.9ms

event_review

SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.reviewer_hash AS event_review_reviewer_h…

#9 [06:16:43.032] 1.7ms

ground

SELECT ground.id AS ground_id, ground.name AS ground_name, ground.url AS ground_url, ground.postcode AS ground_postcode, ground.what3words AS ground_what3words, ground.email AS ground_email, ground.website AS ground_website, ground.num_events_cpsa AS ground_num_events_cpsa, ground.num_events_cpsa_la…

#10 [06:16:43.121] 88.8ms

site_configuration

SELECT site_configuration.id AS site_configuration_id, site_configuration.key AS site_configuration_key, site_configuration.value AS site_configuration_value 
FROM site_configuration 
WHERE site_configuration.key LIKE %(key_1)s OR site_configuration.key LIKE %(key_2)s

#11 [06:16:43.124] 1.6ms

site_configuration

SELECT site_configuration.id AS site_configuration_id, site_configuration.key AS site_configuration_key, site_configuration.value AS site_configuration_value 
FROM site_configuration 
WHERE site_configuration.key IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [06:16:43.126] 0.9ms

admin_menu_item

SELECT DISTINCT admin_menu_item.active_tab AS admin_menu_item_active_tab 
FROM admin_menu_item

LIVE REQUESTS (0) — click to expand

Automatic Ball Trap at National Clay Shooting Centre

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