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UTR — Universal Trench

Universal Trench at Brook Bank

Brook Bank

Sunday, 15 February 2026 · CPSA Results →

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Event Rating

Latest Visitor Reviews

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Entries

85.3%

Field Average

94.0%

Highest Score

78.0%

Lowest Score

Top 3 Overall

🥈

Christian Schofield

46/50

92.00%

🥇

Wesley Hann

47/50

94.00%

🥉 =3

Anthony Ellis

Mark Baker

Matthew Mills

44/50

88.00%

Event Difficulty

85.3% This Event

vs. Brook Bank historical average (Universal Trench)

↑ +3.2% easier than usual

Ground avg: 82.1%

Class Winners

A 4 entered

47/50 — 94.00%

Wesley Hann

2=: Anthony Ellis — 88.00%

B 5 entered

46/50 — 92.00%

Christian Schofield

2=: Graham Andrew — 86.00%

C 4 entered

44/50 — 88.00%

Mark Baker

2: Dean Rickford — 86.00%

D 1 entered

40/50 — 80.00%

Geoff Darke

Field Shape

85.3%

Field avg

Universal Trench at Brook Bank had a 16.0 point scoring spread across 14 entries.

Spread 16.0 pts

Front 94.0%

Largest class B

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

Score Distribution

90–100%

2 14.3%

80–89%

11 78.6%

70–79%

1 7.1%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

14.3%

2 / 14

80%+

92.9%

13 / 14

70%+

100.0%

14 / 14

60%+

100.0%

14 / 14

50%+

100.0%

14 / 14

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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

Universal Trench 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

84.0-94.0%

78.0-92.0%

82.0-88.0%

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: 94.0%. 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
A	4	88.5%	94.0%	84.0%	Wesley Hann
B	5	84.4%	92.0%	78.0%	Christian Schofield
C	4	84.5%	88.0%	82.0%	Mark Baker
D	1	80.0%	80.0%	80.0%	Geoff Darke

Class Composition

4 28.6%

5 35.7%

4 28.6%

1 7.1%

Largest class: B — 5 competitors (35.7%)

Full Results — 14 entries

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

Class A

Score 47/50

vs Class Avg +0.0%

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Class B

Score 46/50

vs Class Avg +0.0%

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Class A

Score 44/50

vs Class Avg +0.0%

Profile Open →

Class C

Score 44/50

vs Class Avg +0.0%

Profile Open →

Class A

Score 44/50

vs Class Avg +0.0%

Profile Open →

Class C

Score 43/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 43/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 43/50

vs Class Avg +0.0%

Profile Open →

Class A

Score 42/50

vs Class Avg +0.0%

Profile Open →

Class C

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class C

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 40/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 40/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 39/50

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Wesley Hann	A	47/50	94.00%	🔒 1	🔒 +0.0%
2	Christian Schofield	B	46/50	92.00%	🔒 1	🔒 +0.0%
3=	Anthony Ellis	A	44/50	88.00%	🔒 1	🔒 +0.0%
3=	Mark Baker	C	44/50	88.00%	🔒 1	🔒 +0.0%
3=	Matthew Mills	A	44/50	88.00%	🔒 1	🔒 +0.0%
6=	Dean Rickford	C	43/50	86.00%	🔒 1	🔒 +0.0%
6=	Graham Andrew	B	43/50	86.00%	🔒 1	🔒 +0.0%
6=	Paul Cornish	B	43/50	86.00%	🔒 1	🔒 +0.0%
9	Owen Clark	A	42/50	84.00%	🔒 1	🔒 +0.0%
10=	DP Pinno	C	41/50	82.00%	🔒 1	🔒 +0.0%
10=	Titus Brimacombe	C	41/50	82.00%	🔒 1	🔒 +0.0%
12=	Benjamin Hibbert	B	40/50	80.00%	🔒 1	🔒 +0.0%
12=	Geoff Darke	D	40/50	80.00%	🔒 1	🔒 +0.0%
14	Robert Dalzell	B	39/50	78.00%	🔒 1	🔒 +0.0%

Other UTR Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.404s ● FAST

DB 96% · Py 4% · Render 1%

12 queries · avg 32.2ms · max 99.7ms

Render Breakdown

DB Logic (Pre-Render) 0.3863s

Python Logic (Pre-Render) 0.0146s

Full Page Render 0.0029s

QUERY TABLES ▾

⚠ event_review 4× 0.184s

shoot_event 2× 0.003s

shoot_score 2× 0.003s

site_configuration 2× 0.194s

ground 1× 0.001s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [00:18:10.127] 1.7ms

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 [00:18:10.130] 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 [00:18:10.133] 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 [00:18:10.135] 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 [00:18:10.137] 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 [00:18:10.140] 1.8ms

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 [00:18:10.222] 82.0ms

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…

#8 [00:18:10.323] 99.7ms

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 [00:18:10.325] 1.0ms

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 [00:18:10.422] 95.9ms

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 [00:18:10.522] 98.6ms

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 [00:18:10.523] 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

Universal Trench at Brook Bank

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Historical Trends at Brook Bank

Classification Deep Dive

Event Performance Analysis

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