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DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Wednesday, 27 August 2025 · CPSA Results →

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Event Rating

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Entries

93.2%

Field Average

97.7%

Highest Score

83.7%

Lowest Score

Top 3 Overall

🥈

Ian Moore

292/300

97.33%

🥇

Martin Howe

293/300

97.67%

🥉

Peter Bugler

290/300

96.67%

Event Difficulty

93.2% This Event

vs. Brook Bank historical average (Down The Line)

↑ +1.9% easier than usual

Ground avg: 91.3%

Class Winners

AA 2 entered

293/300 — 97.67%

Martin Howe

2: Ian Moore — 97.33%

A 5 entered

290/300 — 96.67%

Peter Bugler

2=: Malcolm Brown — 95.00%

B 2 entered

288/300 — 96.00%

Paul Garnsworthy

2: Geoff Eltham — 92.33%

C 1 entered

251/300 — 83.67%

Wendy Allen

Field Shape

93.2%

Field avg

Down The Line at Brook Bank had a 14.0 point scoring spread across 10 entries.

Spread 14.0 pts

Front 97.7%

Largest class A

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

Score Distribution

90–100%

8 80.0%

80–89%

2 20.0%

70–79%

0 0.0%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

80.0%

8 / 10

80%+

100.0%

10 / 10

70%+

100.0%

10 / 10

60%+

100.0%

10 / 10

50%+

100.0%

10 / 10

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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

97.3-97.7%

86.7-96.7%

92.3-96.0%

83.7-83.7%

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: 97.7%. 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	2	97.5%	97.7%	97.3%	Martin Howe
A	5	93.1%	96.7%	86.7%	Peter Bugler
B	2	94.2%	96.0%	92.3%	Paul Garnsworthy
C	1	83.7%	83.7%	83.7%	Wendy Allen

Class Composition

2 20.0%

5 50.0%

2 20.0%

1 10.0%

Largest class: A — 5 competitors (50.0%)

Full Results — 10 entries

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

Class AA

Score 293/300

vs Class Avg +0.0%

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Class AA

Score 292/300

vs Class Avg +0.0%

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Class A

Score 290/300

vs Class Avg +0.0%

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Class B

Score 288/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 285/300

vs Class Avg +0.0%

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Class A

Score 285/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 277/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 276/300

vs Class Avg +0.0%

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Class C

Score 251/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 130/150

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Martin Howe	AA	293/300	97.67%	🔒 1	🔒 +0.0%
2	Ian Moore	AA	292/300	97.33%	🔒 1	🔒 +0.0%
3	Peter Bugler	A	290/300	96.67%	🔒 1	🔒 +0.0%
4	Paul Garnsworthy	B	288/300	96.00%	🔒 1	🔒 +0.0%
5=	Malcolm Brown	A	285/300	95.00%	🔒 1	🔒 +0.0%
5=	Martin Taylor	A	285/300	95.00%	🔒 1	🔒 +0.0%
7	Geoff Eltham	B	277/300	92.33%	🔒 1	🔒 +0.0%
8	Brian Prettejohn	A	276/300	92.00%	🔒 1	🔒 +0.0%
9	Wendy Allen	C	251/300	83.67%	🔒 1	🔒 +0.0%
10	Jeremy Ayshford	A	130/150	86.67%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.045s ● FAST

DB 64% · Py 28% · Render 8%

12 queries · avg 2.4ms · max 15.0ms

Render Breakdown

DB Logic (Pre-Render) 0.0285s

Python Logic (Pre-Render) 0.0126s

Full Page Render 0.0035s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.016s

shoot_score 2× 0.004s

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 [00:21:06.849] 15.0ms

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_…

#2 [00:21:06.852] 2.0ms

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 [00:21:06.856] 2.4ms

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 [00:21:06.858] 1.2ms

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 [00:21:06.861] 1.1ms

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 [00:21:06.862] 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 [00:21:06.864] 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 [00:21:06.865] 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 [00:21:06.867] 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 [00:21:06.869] 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 [00:21:06.871] 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 IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [00:21:06.872] 1.1ms

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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