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DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Saturday, 09 May 2026 · CPSA Results →

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Event Rating

Latest Visitor Reviews

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Entries

90.2%

Field Average

99.0%

Highest Score

71.7%

Lowest Score

Top 3 Overall

🥈

Peter Bugler

295/300

98.33%

🥇

Anthony Dore

297/300

99.00%

🥉

Gerrald Sweet

294/300

98.00%

Event Difficulty

90.2% This Event

vs. Brook Bank historical average (Down The Line)

↓ -1.1% harder than usual

Ground avg: 91.3%

Class Winners

AA 1 entered

294/300 — 98.00%

Gerrald Sweet

A 5 entered

297/300 — 99.00%

Anthony Dore

2: Peter Bugler — 98.33%

B 5 entered

287/300 — 95.67%

Gordon Greening

2: Mick Abrams — 94.00%

C 6 entered

272/300 — 90.67%

Andrew King

2: Ian Stones — 87.00%

Field Shape

90.2%

Field avg

Down The Line at Brook Bank had a 27.3 point scoring spread across 17 entries.

Spread 27.3 pts

Front 99.0%

Largest class C

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

Score Distribution

90–100%

12 70.6%

80–89%

3 17.6%

70–79%

2 11.8%

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%+

88.2%

15 / 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

98.0-98.0%

91.0-99.0%

90.0-95.7%

71.7-90.7%

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: 99.0%. 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	1	98.0%	98.0%	98.0%	Gerrald Sweet
A	5	96.5%	99.0%	91.0%	Anthony Dore
B	5	92.3%	95.7%	90.0%	Gordon Greening
C	6	81.9%	90.7%	71.7%	Andrew King

Class Composition

1 5.9%

5 29.4%

6 35.3%

Largest class: C — 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 297/300

vs Class Avg +0.0%

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Class A

Score 295/300

vs Class Avg +0.0%

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Class AA

Score 294/300

vs Class Avg +0.0%

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Class A

Score 292/300

vs Class Avg +0.0%

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Class A

Score 291/300

vs Class Avg +0.0%

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Class B

Score 287/300

vs Class Avg +0.0%

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Class B

Score 282/300

vs Class Avg +0.0%

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Class B

Score 276/300

vs Class Avg +0.0%

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Class A

Score 273/300

vs Class Avg +0.0%

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Class C

Score 272/300

vs Class Avg +0.0%

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Class B

Score 270/300

vs Class Avg +0.0%

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Class B

Score 270/300

vs Class Avg +0.0%

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Class C

Score 261/300

vs Class Avg +0.0%

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Class C

Score 258/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 250/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 219/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 215/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Anthony Dore	A	297/300	99.00%	🔒 1	🔒 +0.0%
2	Peter Bugler	A	295/300	98.33%	🔒 1	🔒 +0.0%
3	Gerrald Sweet	AA	294/300	98.00%	🔒 1	🔒 +0.0%
4	Martin Taylor	A	292/300	97.33%	🔒 1	🔒 +0.0%
5	Brian Prettejohn	A	291/300	97.00%	🔒 1	🔒 +0.0%
6	Gordon Greening	B	287/300	95.67%	🔒 1	🔒 +0.0%
7	Mick Abrams	B	282/300	94.00%	🔒 1	🔒 +0.0%
8	Geoff Eltham	B	276/300	92.00%	🔒 1	🔒 +0.0%
9	Malcolm Brown	A	273/300	91.00%	🔒 1	🔒 +0.0%
10	Andrew King	C	272/300	90.67%	🔒 1	🔒 +0.0%
11=	John Bradnam	B	270/300	90.00%	🔒 1	🔒 +0.0%
11=	Lorrie Greening	B	270/300	90.00%	🔒 1	🔒 +0.0%
13	Ian Stones	C	261/300	87.00%	🔒 1	🔒 +0.0%
14	Lee Prosser	C	258/300	86.00%	🔒 1	🔒 +0.0%
15	Justine Prosser	C	250/300	83.33%	🔒 1	🔒 +0.0%
16	Darron Sprague	C	219/300	73.00%	🔒 1	🔒 +0.0%
17	Russell Sprague	C	215/300	71.67%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.026s ● FAST

DB 48% · Py 41% · Render 11%

12 queries · avg 1.0ms · max 1.8ms

Render Breakdown

DB Logic (Pre-Render) 0.0124s

Python Logic (Pre-Render) 0.0107s

Full Page Render 0.0029s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

shoot_event 2× 0.003s

shoot_score 2× 0.003s

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 [00:19:25.833] 1.8ms

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 [00:19:25.835] 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 [00:19:25.838] 1.5ms

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 [00:19:25.840] 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 [00:19:25.842] 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 [00:19:25.843] 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 [00:19:25.845] 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 [00:19:25.846] 1.0ms

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 [00:19:25.848] 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 [00:19:25.849] 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 [00:19:25.851] 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 [00:19:25.852] 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

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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