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DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Saturday, 11 April 2026 · CPSA Results →

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Event Rating

Latest Visitor Reviews

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Entries

84.7%

Field Average

95.3%

Highest Score

59.3%

Lowest Score

Top 3 Overall

🥈

Brian Prettejohn

278/300

92.67%

🥇

Neil Bygrave

286/300

95.33%

🥉

Malcolm Brown

274/300

91.33%

Event Difficulty

84.7% This Event

vs. Brook Bank historical average (Down The Line)

↓ -6.7% harder than usual

Ground avg: 91.4%

Class Winners

AA 1 entered

248/300 — 82.67%

Robert Taylor

A 6 entered

286/300 — 95.33%

Neil Bygrave

2: Brian Prettejohn — 92.67%

B 6 entered

266/300 — 88.67%

Jeremy Ayshford

2: Mick Abrams — 86.00%

C 2 entered

227/300 — 75.67%

Andrew King

2: Russell Sprague — 59.33%

Field Shape

84.7%

Field avg

Down The Line at Brook Bank had a 36.0 point scoring spread across 15 entries.

Spread 36.0 pts

Front 95.3%

Largest class A

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

Score Distribution

90–100%

4 26.7%

80–89%

9 60.0%

70–79%

1 6.7%

60–69%

0 0.0%

50–59%

1 6.7%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

26.7%

4 / 15

80%+

86.7%

13 / 15

70%+

93.3%

14 / 15

60%+

93.3%

14 / 15

50%+

100.0%

15 / 15

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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

Down The Line 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

82.7-82.7%

86.7-95.3%

81.7-88.7%

59.3-75.7%

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: 95.3%. 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
AA	1	82.7%	82.7%	82.7%	Robert Taylor
A	6	90.9%	95.3%	86.7%	Neil Bygrave
B	6	84.7%	88.7%	81.7%	Jeremy Ayshford
C	2	67.5%	75.7%	59.3%	Andrew King

Class Composition

1 6.7%

6 40.0%

2 13.3%

Largest class: A — 6 competitors (40.0%)

Full Results — 15 entries

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

Class A

Score 286/300

vs Class Avg +0.0%

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Class A

Score 278/300

vs Class Avg +0.0%

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Class A

Score 274/300

vs Class Avg +0.0%

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Class A

Score 272/300

vs Class Avg +0.0%

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Class A

Score 266/300

vs Class Avg +0.0%

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Class B

Score 266/300

vs Class Avg +0.0%

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Class A

Score 260/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 258/300

vs Class Avg +0.0%

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Class B

Score 254/300

vs Class Avg +0.0%

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Class B

Score 253/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 248/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 248/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 245/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 227/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 178/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Neil Bygrave	A	286/300	95.33%	🔒 1	🔒 +0.0%
2	Brian Prettejohn	A	278/300	92.67%	🔒 1	🔒 +0.0%
3	Malcolm Brown	A	274/300	91.33%	🔒 1	🔒 +0.0%
4	Peter Bugler	A	272/300	90.67%	🔒 1	🔒 +0.0%
5=	Andy Weech	A	266/300	88.67%	🔒 1	🔒 +0.0%
5=	Jeremy Ayshford	B	266/300	88.67%	🔒 1	🔒 +0.0%
7	Martin Taylor	A	260/300	86.67%	🔒 1	🔒 +0.0%
8	Mick Abrams	B	258/300	86.00%	🔒 1	🔒 +0.0%
9	Gordon Greening	B	254/300	84.67%	🔒 1	🔒 +0.0%
10	Lorrie Greening	B	253/300	84.33%	🔒 1	🔒 +0.0%
11=	Geoff Eltham	B	248/300	82.67%	🔒 1	🔒 +0.0%
11=	Robert Taylor	AA	248/300	82.67%	🔒 1	🔒 +0.0%
13	John Bradnam	B	245/300	81.67%	🔒 1	🔒 +0.0%
14	Andrew King	C	227/300	75.67%	🔒 1	🔒 +0.0%
15	Russell Sprague	C	178/300	59.33%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.032s ● FAST

DB 47% · Py 41% · Render 12%

12 queries · avg 1.2ms · max 3.4ms

Render Breakdown

DB Logic (Pre-Render) 0.0149s

Python Logic (Pre-Render) 0.0131s

Full Page Render 0.0038s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

shoot_event 2× 0.003s

shoot_score 2× 0.005s

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 [00:12:17.852] 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 [00:12:17.854] 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 [00:12:17.859] 3.4ms

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 [00:12:17.862] 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 [00:12:17.864] 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 [00:12:17.865] 0.9ms

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 [00:12:17.867] 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 [00:12:17.868] 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 [00:12:17.870] 1.2ms

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 [00:12:17.872] 1.1ms

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 [00:12:17.874] 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 [00:12:17.875] 1.0ms

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

Down The Line at Brook Bank

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Historical Trends at Brook Bank

Classification Deep Dive

Event Performance Analysis

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