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ABT — Automatic Ball Trap

Automatic Ball Trap at Brook Bank

Brook Bank

Saturday, 30 May 2026 · CPSA Results →

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Event Rating

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Entries

86.5%

Field Average

97.0%

Highest Score

64.5%

Lowest Score

Top 3 Overall

🥉

Allen Warren

191/200

95.50%

🥇 =1

David Lloyd

John Lucy

194/200

97.00%

Event Difficulty

86.5% This Event

vs. Brook Bank historical average (Automatic Ball Trap)

↑ +6.4% easier than usual

Ground avg: 80.1%

Class Winners

A 9 entered

194/200 — 97.00%

David Lloyd(tied) John Lucy(tied)

3: Darren Wood — 94.50%

B 18 entered

191/200 — 95.50%

Allen Warren

2: Paul Atkinson — 93.50%

C 15 entered

180/200 — 90.00%

Brett Winfield

2: Rhys Dixon — 89.50%

D 4 entered

179/200 — 89.50%

Ian Sedgley

2: Elise Dixon — 86.50%

Field Shape

86.5%

Field avg

Automatic Ball Trap at Brook Bank had a 32.5 point scoring spread across 46 entries.

Spread 32.5 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%

14 30.4%

80–89%

26 56.5%

70–79%

3 6.5%

60–69%

3 6.5%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

30.4%

14 / 46

80%+

87.0%

40 / 46

70%+

93.5%

43 / 46

60%+

100.0%

46 / 46

50%+

100.0%

46 / 46

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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 Brook Bank

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

82.5-97.0%

85.0-95.5%

65.0-90.0%

64.5-89.5%

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	9	91.1%	97.0%	82.5%	David Lloyd
B	18	89.6%	95.5%	85.0%	Allen Warren
C	15	82.7%	90.0%	65.0%	Brett Winfield
D	4	76.5%	89.5%	64.5%	Ian Sedgley

Class Composition

9 19.6%

18 39.1%

15 32.6%

4 8.7%

Largest class: B — 18 competitors (39.1%)

Full Results — 46 entries

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

Class A

Score 194/200

vs Class Avg +0.0%

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Class A

Score 194/200

vs Class Avg +0.0%

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Class B

Score 191/200

vs Class Avg +0.0%

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Class A

Score 189/200

vs Class Avg +0.0%

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Class B

Score 187/200

vs Class Avg +0.0%

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Class A

Score 186/200

vs Class Avg +0.0%

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Class B

Score 184/200

vs Class Avg +0.0%

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Class B

Score 182/200

vs Class Avg +0.0%

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Class B

Score 182/200

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 181/200

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 181/200

vs Class Avg +0.0%

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Class C

Score 180/200

vs Class Avg +0.0%

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Class D

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 B

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 C

Score 179/200

vs Class Avg +0.0%

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Class B

Score 178/200

vs Class Avg +0.0%

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Class B

Score 178/200

vs Class Avg +0.0%

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Class A

Score 178/200

vs Class Avg +0.0%

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Class C

Score 178/200

vs Class Avg +0.0%

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Class C

Score 177/200

vs Class Avg +0.0%

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Class B

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 B

Score 176/200

vs Class Avg +0.0%

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Class B

Score 175/200

vs Class Avg +0.0%

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Class C

Score 175/200

vs Class Avg +0.0%

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Class D

Score 173/200

vs Class Avg +0.0%

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Class C

Score 173/200

vs Class Avg +0.0%

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Class A

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 C

Score 170/200

vs Class Avg +0.0%

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Class B

Score 170/200

vs Class Avg +0.0%

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Class C

Score 168/200

vs Class Avg +0.0%

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Class C

Score 166/200

vs Class Avg +0.0%

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Class A

Score 165/200

vs Class Avg +0.0%

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Class C

Score 162/200

vs Class Avg +0.0%

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Class C

Score 160/200

vs Class Avg +0.0%

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Class C

Score 158/200

vs Class Avg +0.0%

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Class C

Score 155/200

vs Class Avg +0.0%

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Class C

Score 149/200

vs Class Avg +0.0%

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Class D

Score 131/200

vs Class Avg +0.0%

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Class D

Score 129/200

vs Class Avg +0.0%

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Class C

Score 65/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	David Lloyd	A	194/200	97.00%	🔒 1	🔒 +0.0%
1=	John Lucy	A	194/200	97.00%	🔒 1	🔒 +0.0%
3	Allen Warren	B	191/200	95.50%	🔒 1	🔒 +0.0%
4	Darren Wood	A	189/200	94.50%	🔒 1	🔒 +0.0%
5	Paul Atkinson	B	187/200	93.50%	🔒 1	🔒 +0.0%
6	Richard Chapple	A	186/200	93.00%	🔒 1	🔒 +0.0%
7	Joshua Kind	B	184/200	92.00%	🔒 1	🔒 +0.0%
8=	David O'Donnell	B	182/200	91.00%	🔒 1	🔒 +0.0%
8=	Ray Sutton	B	182/200	91.00%	🔒 1	🔒 +0.0%
10=	Darren Burtenshaw	A	181/200	90.50%	🔒 1	🔒 +0.0%
10=	Neil Leeming	B	181/200	90.50%	🔒 1	🔒 +0.0%
10=	Nicholas Harris	A	181/200	90.50%	🔒 1	🔒 +0.0%
10=	Tony Robbins	B	181/200	90.50%	🔒 1	🔒 +0.0%
14	Brett Winfield	C	180/200	90.00%	🔒 1	🔒 +0.0%
15=	Ian Sedgley	D	179/200	89.50%	🔒 1	🔒 +0.0%
15=	John Reilly	B	179/200	89.50%	🔒 1	🔒 +0.0%
15=	Mark Wright	B	179/200	89.50%	🔒 1	🔒 +0.0%
15=	Neil Orr	B	179/200	89.50%	🔒 1	🔒 +0.0%
15=	Rhys Dixon	C	179/200	89.50%	🔒 1	🔒 +0.0%
20=	Christopher Holmes	B	178/200	89.00%	🔒 1	🔒 +0.0%
20=	David Wright	B	178/200	89.00%	🔒 1	🔒 +0.0%
20=	Ian Shaw	A	178/200	89.00%	🔒 1	🔒 +0.0%
20=	Steven Tunney	C	178/200	89.00%	🔒 1	🔒 +0.0%
24	Vitek Urbanski	C	177/200	88.50%	🔒 1	🔒 +0.0%
25=	Andrew Dearman	B	176/200	88.00%	🔒 1	🔒 +0.0%
25=	Ian Hull	B	176/200	88.00%	🔒 1	🔒 +0.0%
25=	Paul Lilly	B	176/200	88.00%	🔒 1	🔒 +0.0%
28=	Benjamin Hibbert	B	175/200	87.50%	🔒 1	🔒 +0.0%
28=	James Farrell	C	175/200	87.50%	🔒 1	🔒 +0.0%
30=	Elise Dixon	D	173/200	86.50%	🔒 1	🔒 +0.0%
30=	John Leightley	C	173/200	86.50%	🔒 1	🔒 +0.0%
32=	Michael Webber	A	172/200	86.00%	🔒 1	🔒 +0.0%
32=	Richard Lees-Styler	B	172/200	86.00%	🔒 1	🔒 +0.0%
34=	Alan Paige	C	170/200	85.00%	🔒 1	🔒 +0.0%
34=	Stefan Roberts	B	170/200	85.00%	🔒 1	🔒 +0.0%
36	Alan Haynes	C	168/200	84.00%	🔒 1	🔒 +0.0%
37	Julian Fairburn	C	166/200	83.00%	🔒 1	🔒 +0.0%
38	Marcus Iddon	A	165/200	82.50%	🔒 1	🔒 +0.0%
39	Melissa Callum	C	162/200	81.00%	🔒 1	🔒 +0.0%
40	Christopher McReynolds	C	160/200	80.00%	🔒 1	🔒 +0.0%
41	Graham Carter	C	158/200	79.00%	🔒 1	🔒 +0.0%
42	Michele Rowe	C	155/200	77.50%	🔒 1	🔒 +0.0%
43	Anne Phillips	C	149/200	74.50%	🔒 1	🔒 +0.0%
44	Richard Wright	D	131/200	65.50%	🔒 1	🔒 +0.0%
45	Rebecca LLoyd	D	129/200	64.50%	🔒 1	🔒 +0.0%
46	Geoff Darke	C	65/100	65.00%	🔒 1	🔒 +0.0%

Other ABT Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.027s ● FAST

DB 42% · Py 35% · Render 24%

12 queries · avg 0.9ms · max 1.5ms

Render Breakdown

DB Logic (Pre-Render) 0.0114s

Python Logic (Pre-Render) 0.0095s

Full Page Render 0.0065s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

shoot_event 2× 0.002s

shoot_score 2× 0.002s

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 [00:14:45.688] 1.5ms

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_…

#2 [00:14:45.690] 1.2ms

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 [00:14:45.693] 1.2ms

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 [00:14:45.695] 0.9ms

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 [00:14:45.696] 0.8ms

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 [00:14:45.697] 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 [00:14:45.699] 0.8ms

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 [00:14:45.700] 0.8ms

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 [00:14:45.701] 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 [00:14:45.703] 0.9ms

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 [00:14:45.704] 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 [00:14:45.705] 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 Brook Bank

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Historical Trends at Brook Bank

Classification Deep Dive

Event Performance Analysis

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