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DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Saturday, 14 March 2026 · CPSA Results →

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Event Rating

Latest Visitor Reviews

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Entries

83.5%

Field Average

97.3%

Highest Score

58.7%

Lowest Score

Top 3 Overall

🥈

Brian Prettejohn

284/300

94.67%

🥇

Peter Bugler

292/300

97.33%

🥉

Gordon Greening

276/300

92.00%

Event Difficulty

83.5% This Event

vs. Brook Bank historical average (Down The Line)

↓ -8.0% harder than usual

Ground avg: 91.5%

Class Winners

A 4 entered

292/300 — 97.33%

Peter Bugler

2: Brian Prettejohn — 94.67%

B 5 entered

276/300 — 92.00%

Gordon Greening

2: Geoff Eltham — 91.67%

C 6 entered

270/300 — 90.00%

James Cormack

2: Andrew King — 81.33%

Other 1 entered

244/300 — 81.33%

Mani Silva

Field Shape

83.5%

Field avg

Down The Line at Brook Bank had a 38.6 point scoring spread across 16 entries.

Spread 38.6 pts

Front 97.3%

Largest class C

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

Score Distribution

90–100%

6 37.5%

80–89%

6 37.5%

70–79%

2 12.5%

60–69%

1 6.2%

50–59%

1 6.2%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

37.5%

6 / 16

80%+

75.0%

12 / 16

70%+

87.5%

14 / 16

60%+

93.8%

15 / 16

50%+

100.0%

16 / 16

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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

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

89.0-97.3%

85.7-92.0%

58.7-90.0%

Other

81.3-81.3%

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: 97.3%. 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
A	4	93.1%	97.3%	89.0%	Peter Bugler
B	5	89.1%	92.0%	85.7%	Gordon Greening
C	6	72.7%	90.0%	58.7%	James Cormack
Other	1	81.3%	81.3%	81.3%	Mani Silva

Class Composition

4 25.0%

5 31.2%

6 37.5%

Other

1 6.2%

Largest class: C — 6 competitors (37.5%)

Full Results — 16 entries

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

Class A

Score 292/300

vs Class Avg +0.0%

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Class A

Score 284/300

vs Class Avg +0.0%

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Class B

Score 276/300

vs Class Avg +0.0%

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Class B

Score 275/300

vs Class Avg +0.0%

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Class A

Score 274/300

vs Class Avg +0.0%

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Class C

Score 270/300

vs Class Avg +0.0%

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Class A

Score 267/300

vs Class Avg +0.0%

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Class B

Score 267/300

vs Class Avg +0.0%

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Class B

Score 262/300

vs Class Avg +0.0%

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Class B

Score 257/300

vs Class Avg +0.0%

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Class C

Score 244/300

vs Class Avg +0.0%

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Class Unknown

Score 244/300

vs Class Avg +0.0%

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Class C

Score 220/300

vs Class Avg +0.0%

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Class C

Score 218/300

vs Class Avg +0.0%

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Class C

Score 181/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 176/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Peter Bugler	A	292/300	97.33%	🔒 1	🔒 +0.0%
2	Brian Prettejohn	A	284/300	94.67%	🔒 1	🔒 +0.0%
3	Gordon Greening	B	276/300	92.00%	🔒 1	🔒 +0.0%
4	Geoff Eltham	B	275/300	91.67%	🔒 1	🔒 +0.0%
5	Malcolm Brown	A	274/300	91.33%	🔒 1	🔒 +0.0%
6	James Cormack	C	270/300	90.00%	🔒 1	🔒 +0.0%
7=	Martin Taylor	A	267/300	89.00%	🔒 1	🔒 +0.0%
7=	Mick Abrams	B	267/300	89.00%	🔒 1	🔒 +0.0%
9	Stuart Jones	B	262/300	87.33%	🔒 1	🔒 +0.0%
10	Lorrie Greening	B	257/300	85.67%	🔒 1	🔒 +0.0%
11=	Andrew King	C	244/300	81.33%	🔒 1	🔒 +0.0%
11=	Mani Silva	Unknown	244/300	81.33%	🔒 1	🔒 +0.0%
13	Russell Sprague	C	220/300	73.33%	🔒 1	🔒 +0.0%
14	Clifford Coles	C	218/300	72.67%	🔒 1	🔒 +0.0%
15	Darron Sprague	C	181/300	60.33%	🔒 1	🔒 +0.0%
16	Glyn Brooks	C	176/300	58.67%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.028s ● FAST

DB 46% · Py 39% · Render 15%

12 queries · avg 1.1ms · max 1.9ms

Render Breakdown

DB Logic (Pre-Render) 0.0131s

Python Logic (Pre-Render) 0.0110s

Full Page Render 0.0043s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

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 [00:18:51.852] 1.9ms

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 [00:18:51.855] 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 [00:18:51.858] 1.7ms

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 [00:18:51.860] 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 [00:18:51.861] 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 [00:18:51.863] 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 [00:18:51.864] 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 [00:18:51.865] 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 [00:18:51.867] 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 [00:18:51.869] 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 [00:18:51.870] 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 IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [00:18:51.872] 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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