Back to Events

ABT — Automatic Ball Trap

Automatic Ball Trap at Garlands Shooting Ground

Garlands Shooting Ground

Sunday, 23 August 2026 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

84.9%

Field Average

97.0%

Highest Score

60.0%

Lowest Score

Top 3 Overall

🥉

Colin Heathcote

96/100

96.00%

🥇 =1

Adam Gutteridge

Matthew Panter

97/100

97.00%

Event Difficulty

84.9% This Event

vs. Garlands Shooting Ground historical average (Automatic Ball Trap)

↑ +1.3% easier than usual

Ground avg: 83.6%

Class Winners

A 10 entered

97/100 — 97.00%

Adam Gutteridge(tied) Matthew Panter(tied)

3: Colin Heathcote — 96.00%

B 17 entered

95/100 — 95.00%

Kevin Borley

2=: David O'Donnell — 94.00%

C 7 entered

90/100 — 90.00%

Jim Kyriakou

2: Christopher McReynolds — 88.00%

D 11 entered

93/100 — 93.00%

Sue Bate

2: Paul Collins — 87.00%

Field Shape

84.9%

Field avg

Automatic Ball Trap at Garlands Shooting Ground had a 37.0 point scoring spread across 45 entries.

Spread 37.0 pts

Front 97.0%

Largest class B

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

Score Distribution

90–100%

17 37.8%

80–89%

18 40.0%

70–79%

5 11.1%

60–69%

5 11.1%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

37.8%

17 / 45

80%+

77.8%

35 / 45

70%+

88.9%

40 / 45

60%+

100.0%

45 / 45

50%+

100.0%

45 / 45

Unlock the full event analysis

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

Historical Trends at Garlands Shooting Ground

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

—

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)—

—

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

75.0-97.0%

80.0-95.0%

63.0-90.0%

60.0-93.0%

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: 97.0%. 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	10	91.3%	97.0%	75.0%	Adam Gutteridge
B	17	88.9%	95.0%	80.0%	Kevin Borley
C	7	80.4%	90.0%	63.0%	Jim Kyriakou
D	11	75.7%	93.0%	60.0%	Sue Bate

Class Composition

10 22.2%

17 37.8%

7 15.6%

11 24.4%

Largest class: B — 17 competitors (37.8%)

Full Results — 45 entries

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

Class A

Score 97/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 97/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 96/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 95/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 94/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 94/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 94/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 94/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 94/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 93/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 93/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 93/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 91/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 89/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 89/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 82/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 81/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 80/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 79/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 75/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 70/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 70/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 69/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 68/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 63/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 63/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 60/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	Adam Gutteridge	A	97/100	97.00%	🔒 1	🔒 +0.0%
1=	Matthew Panter	A	97/100	97.00%	🔒 1	🔒 +0.0%
3	Colin Heathcote	A	96/100	96.00%	🔒 1	🔒 +0.0%
4	Kevin Borley	B	95/100	95.00%	🔒 1	🔒 +0.0%
5=	Darren Wood	A	94/100	94.00%	🔒 1	🔒 +0.0%
5=	David O'Donnell	B	94/100	94.00%	🔒 1	🔒 +0.0%
5=	David Sipling	A	94/100	94.00%	🔒 1	🔒 +0.0%
5=	John Lucy	A	94/100	94.00%	🔒 1	🔒 +0.0%
5=	Wayne Clifton	B	94/100	94.00%	🔒 1	🔒 +0.0%
10=	Ray Sutton	B	93/100	93.00%	🔒 1	🔒 +0.0%
10=	Richard Lewis	B	93/100	93.00%	🔒 1	🔒 +0.0%
10=	Sue Bate	D	93/100	93.00%	🔒 1	🔒 +0.0%
13	Graham Evans	A	91/100	91.00%	🔒 1	🔒 +0.0%
14=	Jim Kyriakou	C	90/100	90.00%	🔒 1	🔒 +0.0%
14=	John Reilly	B	90/100	90.00%	🔒 1	🔒 +0.0%
14=	Robert Borsley	B	90/100	90.00%	🔒 1	🔒 +0.0%
14=	Rod Davies	B	90/100	90.00%	🔒 1	🔒 +0.0%
18=	James Sutton	A	89/100	89.00%	🔒 1	🔒 +0.0%
18=	Steven Tunney	B	89/100	89.00%	🔒 1	🔒 +0.0%
20=	Christopher McReynolds	C	88/100	88.00%	🔒 1	🔒 +0.0%
20=	Mark Wright	B	88/100	88.00%	🔒 1	🔒 +0.0%
20=	Richard Lees-Styler	B	88/100	88.00%	🔒 1	🔒 +0.0%
23=	Paul Atkinson	B	87/100	87.00%	🔒 1	🔒 +0.0%
23=	Paul Collins	D	87/100	87.00%	🔒 1	🔒 +0.0%
25=	Michael Smith	C	86/100	86.00%	🔒 1	🔒 +0.0%
25=	Nicholas Harris	A	86/100	86.00%	🔒 1	🔒 +0.0%
25=	Paul Lilly	B	86/100	86.00%	🔒 1	🔒 +0.0%
28=	Christopher Edwards	B	85/100	85.00%	🔒 1	🔒 +0.0%
28=	Mark Wright	B	85/100	85.00%	🔒 1	🔒 +0.0%
28=	Michael Sargeson	D	85/100	85.00%	🔒 1	🔒 +0.0%
28=	Paul Insley	C	85/100	85.00%	🔒 1	🔒 +0.0%
32	Ian Hull	B	84/100	84.00%	🔒 1	🔒 +0.0%
33	Steve Lilly	C	82/100	82.00%	🔒 1	🔒 +0.0%
34	Michael Kyriakou	D	81/100	81.00%	🔒 1	🔒 +0.0%
35	Arnold Cliffe	B	80/100	80.00%	🔒 1	🔒 +0.0%
36	Keith Smith	D	79/100	79.00%	🔒 1	🔒 +0.0%
37	Lee Holmes	D	77/100	77.00%	🔒 1	🔒 +0.0%
38	Craig Nightingale	A	75/100	75.00%	🔒 1	🔒 +0.0%
39=	Carole Wilson	D	70/100	70.00%	🔒 1	🔒 +0.0%
39=	Rob Jones	D	70/100	70.00%	🔒 1	🔒 +0.0%
41	Julian Owens	C	69/100	69.00%	🔒 1	🔒 +0.0%
42	John Walmsley	D	68/100	68.00%	🔒 1	🔒 +0.0%
43=	Alan Grealey	C	63/100	63.00%	🔒 1	🔒 +0.0%
43=	Russell Taylor	D	63/100	63.00%	🔒 1	🔒 +0.0%
45	Gillian Grealey	D	60/100	60.00%	🔒 1	🔒 +0.0%

Other ABT Events at Garlands Shooting Ground

⚙ Performance Stats DRAG TO MOVE

0.030s ● FAST

DB 41% · Py 41% · Render 18%

12 queries · avg 1.0ms · max 1.7ms

Render Breakdown

Python Logic (Pre-Render) 0.0122s

DB Logic (Pre-Render) 0.0122s

Full Page Render 0.0052s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.003s

shoot_score 2× 0.003s

site_configuration 2× 0.002s

ground 1× 0.001s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [23:55:52.193] 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 [23:55:52.196] 1.3ms

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 [23:55:52.200] 1.3ms

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 [23:55:52.202] 1.1ms

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 [23:55:52.203] 0.9ms

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 [23:55:52.205] 0.8ms

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 [23:55:52.206] 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…

#8 [23:55:52.207] 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 [23:55:52.209] 0.8ms

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 [23:55:52.210] 1.0ms

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 [23:55:52.212] 0.8ms

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 IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [23:55:52.213] 0.8ms

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 Garlands Shooting Ground

Unlock the full event analysis

Historical Trends at Garlands Shooting Ground

Classification Deep Dive

Event Performance Analysis

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?