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Last Updated: 25 Mar 2026, 15:30

DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Wednesday, 02 July 2025 · CPSA Results →

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Event Rating

Latest Visitor Reviews

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Entries

87.5%

Field Average

98.7%

Highest Score

72.7%

Lowest Score

Top 3 Overall

🥈

Paul •••••

283/300

94.33%

🥇

Martin •••••

296/300

98.67%

🥉

Geoff •••••

278/300

92.67%

Event Difficulty

87.5% This Event

vs. Brook Bank historical average (Down The Line)

↓ -3.8% harder than usual

Ground avg: 91.3%

Class Winners

A 3 entered

296/300 — 98.67%

Martin •••••

2: Brian ••••• — 92.00%

B 4 entered

283/300 — 94.33%

Paul •••••

2: Geoff ••••• — 92.67%

C 1 entered

240/300 — 80.00%

Ian •••••

Field Shape

87.5%

Field avg

Down The Line at Brook Bank had a 26.0 point scoring spread across 8 entries.

Spread 26.0 pts

Front 98.7%

Largest class B

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

Score Distribution

90–100%

5 62.5%

80–89%

1 12.5%

70–79%

2 25.0%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

62.5%

5 / 8

80%+

75.0%

6 / 8

70%+

100.0%

8 / 8

60%+

100.0%

8 / 8

50%+

100.0%

8 / 8

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 Brook Bank

Down The Line performance across events held at this ground.

Last 12 months

Overall Average Trend

Classification Trend Comparison

Classification Deep Dive

3 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)—

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

78.7-98.7%

72.7-94.3%

80.0-80.0%

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: 98.7%. 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
A	3	89.8%	98.7%	78.7%	Martin •••••
B	4	87.8%	94.3%	72.7%	Paul •••••
C	1	80.0%	80.0%	80.0%	Ian •••••

Class Composition

3 37.5%

4 50.0%

1 12.5%

Largest class: B — 4 competitors (50.0%)

Full Results — 8 entries

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

Rotate your device to see the full results table: score, class placing, class average and delta.

Class A

Score 296/300

Class placing 1

Class average 89.8%

vs Class Avg +0.0%

Profile Open →

Class B

Score 283/300

Class placing 1

Class average 87.8%

vs Class Avg +0.0%

Profile Open →

Class B

Score 278/300

Class placing 1

Class average 87.8%

vs Class Avg +0.0%

Profile Open →

Class A

Score 276/300

Class placing 1

Class average 89.8%

vs Class Avg +0.0%

Profile Open →

Class B

Score 274/300

Class placing 1

Class average 87.8%

vs Class Avg +0.0%

Profile Open →

Class C

Score 240/300

Class placing 1

Class average 80.0%

vs Class Avg +0.0%

Profile Open →

Class A

Score 236/300

Class placing 1

Class average 89.8%

vs Class Avg +0.0%

Profile Open →

Class B

Score 218/300

Class placing 1

Class average 87.8%

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	Class Avg	vs Class Avg
1	Martin •••••	A	296/300	98.67%	🔒 1	89.80%	🔒 +0.0%
2	Paul •••••	B	283/300	94.33%	🔒 1	87.80%	🔒 +0.0%
3	Geoff •••••	B	278/300	92.67%	🔒 1	87.80%	🔒 +0.0%
4	Brian •••••	A	276/300	92.00%	🔒 1	89.80%	🔒 +0.0%
5	Gordon •••••	B	274/300	91.33%	🔒 1	87.80%	🔒 +0.0%
6	Ian •••••	C	240/300	80.00%	🔒 1	80.00%	🔒 +0.0%
7	Malcolm •••••	A	236/300	78.67%	🔒 1	89.80%	🔒 +0.0%
8	Lorrie •••••	B	218/300	72.67%	🔒 1	87.80%	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.038s ● FAST

DB 52% · Py 34% · Render 14%

12 queries · avg 1.7ms · max 2.6ms

Render Breakdown

DB Logic (Pre-Render) 0.0199s

Python Logic (Pre-Render) 0.0128s

Full Page Render 0.0054s

QUERY TABLES ▾

⚠ event_review 4× 0.007s

shoot_event 2× 0.004s

shoot_score 2× 0.004s

site_configuration 2× 0.003s

ground 1× 0.001s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [00:27:55.115] 2.3ms

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 [00:27:55.118] 1.6ms

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.course_breakdown AS shoot_score_course_breakdown, shoot_score.shooter_id …

#3 [00:27:55.121] 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 [00:27:55.124] 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_…

#5 [00:27:55.126] 1.2ms

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 [00:27:55.129] 1.2ms

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 [00:27:55.131] 1.8ms

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 [00:27:55.134] 2.6ms

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 [00:27:55.136] 1.3ms

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 [00:27:55.138] 1.3ms

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 [00:27:55.140] 1.3ms

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 [00:27:55.142] 1.4ms

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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