Back to Events

UTR — Universal Trench

Universal Trench at Brook Bank

Brook Bank

Sunday, 18 January 2026 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

87.7%

Field Average

96.0%

Highest Score

70.0%

Lowest Score

Top 3 Overall

🥇 =1

Christian Schofield

Ian Stephenson

Oliver Austin

48/50

96.00%

Event Difficulty

87.7% This Event

vs. Brook Bank historical average (Universal Trench)

↑ +5.7% easier than usual

Ground avg: 82.0%

Class Winners

A 3 entered

47/50 — 94.00%

Matthew Mills(tied) Wesley Hann(tied)

3: Anthony Ellis — 82.00%

B 5 entered

48/50 — 96.00%

Christian Schofield(tied) Oliver Austin(tied)

3: Stefan Roberts — 94.00%

C 3 entered

48/50 — 96.00%

Ian Stephenson

2: John Slatter — 86.00%

D 3 entered

40/50 — 80.00%

Amanda Gallagher(tied) Steven Tunney(tied)

3: David Smith — 70.00%

Field Shape

87.7%

Field avg

Universal Trench at Brook Bank had a 26.0 point scoring spread across 14 entries.

Spread 26.0 pts

Front 96.0%

Largest class B

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

Score Distribution

90–100%

7 50.0%

80–89%

6 42.9%

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%+

50.0%

7 / 14

80%+

92.9%

13 / 14

70%+

100.0%

14 / 14

60%+

100.0%

14 / 14

50%+

100.0%

14 / 14

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

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

82.0-94.0%

86.0-96.0%

82.0-96.0%

70.0-80.0%

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: 96.0%. 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	3	90.0%	94.0%	82.0%	Matthew Mills
B	5	92.8%	96.0%	86.0%	Christian Schofield
C	3	88.0%	96.0%	82.0%	Ian Stephenson
D	3	76.7%	80.0%	70.0%	Amanda Gallagher

Class Composition

3 21.4%

5 35.7%

3 21.4%

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 B

Score 48/50

vs Class Avg +0.0%

Profile Open →

Class C

Score 48/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 48/50

vs Class Avg +0.0%

Profile Open →

Class A

Score 47/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 47/50

vs Class Avg +0.0%

Profile Open →

Class A

Score 47/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 46/50

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 C

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class A

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 40/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 40/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 35/50

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	Christian Schofield	B	48/50	96.00%	🔒 1	🔒 +0.0%
1=	Ian Stephenson	C	48/50	96.00%	🔒 1	🔒 +0.0%
1=	Oliver Austin	B	48/50	96.00%	🔒 1	🔒 +0.0%
4=	Matthew Mills	A	47/50	94.00%	🔒 1	🔒 +0.0%
4=	Stefan Roberts	B	47/50	94.00%	🔒 1	🔒 +0.0%
4=	Wesley Hann	A	47/50	94.00%	🔒 1	🔒 +0.0%
7	Graham Andrew	B	46/50	92.00%	🔒 1	🔒 +0.0%
8=	John Slatter	C	43/50	86.00%	🔒 1	🔒 +0.0%
8=	Paul Atkinson	B	43/50	86.00%	🔒 1	🔒 +0.0%
10=	Abbie Coutanche	C	41/50	82.00%	🔒 1	🔒 +0.0%
10=	Anthony Ellis	A	41/50	82.00%	🔒 1	🔒 +0.0%
12=	Amanda Gallagher	D	40/50	80.00%	🔒 1	🔒 +0.0%
12=	Steven Tunney	D	40/50	80.00%	🔒 1	🔒 +0.0%
14	David Smith	D	35/50	70.00%	🔒 1	🔒 +0.0%

Other UTR Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.028s ● FAST

DB 44% · Py 34% · Render 22%

12 queries · avg 1.0ms · max 1.7ms

Render Breakdown

DB Logic (Pre-Render) 0.0125s

Python Logic (Pre-Render) 0.0095s

Full Page Render 0.0061s

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 [00:17:58.522] 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 [00:17:58.524] 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 [00:17:58.527] 1.4ms

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 [00:17:58.529] 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 [00:17:58.530] 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 [00:17:58.532] 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 [00:17:58.533] 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 [00:17:58.534] 1.1ms

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 [00:17:58.536] 0.8ms

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 [00:17:58.537] 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 LIKE %(key_1)s OR site_configuration.key LIKE %(key_2)s

#11 [00:17:58.539] 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 [00:17:58.540] 0.8ms

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

Unlock the full event analysis

Historical Trends at Brook Bank

Classification Deep Dive

Event Performance Analysis

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?