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DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Wednesday, 14 May 2025 · CPSA Results →

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Event Rating

Latest Visitor Reviews

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Entries

91.5%

Field Average

100.0%

Highest Score

77.3%

Lowest Score

Top 3 Overall

🥈 =2

Martin Howe

Roger Lane

293/300

97.67%

🥇

Martin Taylor

300/300

100.00%

Event Difficulty

91.5% This Event

vs. Brook Bank historical average (Down The Line)

— About average difficulty

Ground avg: 91.3%

Class Winners

AA 3 entered

293/300 — 97.67%

Martin Howe

2: Peter Bugler — 95.67%

A 6 entered

300/300 — 100.00%

Martin Taylor

2: Roger Lane — 97.67%

B 5 entered

286/300 — 95.33%

Geoff Eltham

2: Justine Howe — 94.67%

C 3 entered

290/300 — 96.67%

Robin Heal

2: Ian Stones — 81.67%

Field Shape

91.5%

Field avg

Down The Line at Brook Bank had a 22.7 point scoring spread across 17 entries.

Spread 22.7 pts

Front 100.0%

Largest class A

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

Score Distribution

90–100%

12 70.6%

80–89%

4 23.5%

70–79%

1 5.9%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

70.6%

12 / 17

80%+

94.1%

16 / 17

70%+

100.0%

17 / 17

60%+

100.0%

17 / 17

50%+

100.0%

17 / 17

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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

93.7-97.7%

82.0-100.0%

83.3-95.3%

77.3-96.7%

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: 100.0%. 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
AA	3	95.7%	97.7%	93.7%	Martin Howe
A	6	93.4%	100.0%	82.0%	Martin Taylor
B	5	90.5%	95.3%	83.3%	Geoff Eltham
C	3	85.2%	96.7%	77.3%	Robin Heal

Class Composition

3 17.6%

6 35.3%

5 29.4%

3 17.6%

Largest class: A — 6 competitors (35.3%)

Full Results — 17 entries

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

Class A

Score 300/300

vs Class Avg +0.0%

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Class AA

Score 293/300

vs Class Avg +0.0%

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Class A

Score 293/300

vs Class Avg +0.0%

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Class C

Score 290/300

vs Class Avg +0.0%

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Class AA

Score 287/300

vs Class Avg +0.0%

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Class B

Score 286/300

vs Class Avg +0.0%

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Class A

Score 285/300

vs Class Avg +0.0%

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Class B

Score 284/300

vs Class Avg +0.0%

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Class A

Score 282/300

vs Class Avg +0.0%

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Class AA

Score 281/300

vs Class Avg +0.0%

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Class A

Score 276/300

vs Class Avg +0.0%

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Class B

Score 272/300

vs Class Avg +0.0%

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Class B

Score 265/300

vs Class Avg +0.0%

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Class B

Score 250/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 246/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 245/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 232/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Martin Taylor	A	300/300	100.00%	🔒 1	🔒 +0.0%
2=	Martin Howe	AA	293/300	97.67%	🔒 1	🔒 +0.0%
2=	Roger Lane	A	293/300	97.67%	🔒 1	🔒 +0.0%
4	Robin Heal	C	290/300	96.67%	🔒 1	🔒 +0.0%
5	Peter Bugler	AA	287/300	95.67%	🔒 1	🔒 +0.0%
6	Geoff Eltham	B	286/300	95.33%	🔒 1	🔒 +0.0%
7	Brian Prettejohn	A	285/300	95.00%	🔒 1	🔒 +0.0%
8	Justine Howe	B	284/300	94.67%	🔒 1	🔒 +0.0%
9	Andy Weech	A	282/300	94.00%	🔒 1	🔒 +0.0%
10	Ian Stephenson	AA	281/300	93.67%	🔒 1	🔒 +0.0%
11	Malcolm Brown	A	276/300	92.00%	🔒 1	🔒 +0.0%
12	Lorrie Greening	B	272/300	90.67%	🔒 1	🔒 +0.0%
13	Stefan Roberts	B	265/300	88.33%	🔒 1	🔒 +0.0%
14	Gordon Greening	B	250/300	83.33%	🔒 1	🔒 +0.0%
15	Philip Lamb	A	246/300	82.00%	🔒 1	🔒 +0.0%
16	Ian Stones	C	245/300	81.67%	🔒 1	🔒 +0.0%
17	David Horsley	C	232/300	77.33%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.026s ● FAST

DB 46% · Py 42% · Render 13%

12 queries · avg 1.0ms · max 1.6ms

Render Breakdown

DB Logic (Pre-Render) 0.0118s

Python Logic (Pre-Render) 0.0107s

Full Page Render 0.0033s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

shoot_event 2× 0.003s

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 [00:15:35.870] 1.6ms

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 [00:15:35.873] 1.1ms

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 [00:15:35.876] 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 [00:15:35.878] 1.0ms

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 [00:15:35.879] 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 [00:15:35.880] 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 [00:15:35.882] 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 [00:15:35.883] 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 [00:15:35.884] 0.9ms

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 [00:15:35.886] 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 [00:15:35.887] 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 [00:15:35.888] 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

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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