Back to Events

Last Updated: 06 Sep 2026, 15:56

OTR — Olympic Trap

Olympic Trap at Brook Bank

Brook Bank

Monday, 31 August 2026 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

84.3%

Field Average

90.0%

Highest Score

60.0%

Lowest Score

Top 3 Overall

🥉 =3

Christian •••••

Marcus •••••

89/100

89.00%

🥇 =1

Matthew •••••

Owen •••••

90/100

90.00%

Event Difficulty

84.3% This Event

vs. Brook Bank historical average (Olympic Trap)

↑ +4.7% easier than usual

Ground avg: 79.6%

Class Winners

A 2 entered

90/100 — 90.00%

Owen •••••

2: Marcus ••••• — 89.00%

B 3 entered

90/100 — 90.00%

Matthew •••••

2: Christian ••••• — 89.00%

D 1 entered

60/100 — 60.00%

Geoff •••••

Field Shape

84.3%

Field avg

Olympic Trap at Brook Bank had a 30.0 point scoring spread across 6 entries.

Spread 30.0 pts

Front 90.0%

Largest class B

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

Score Distribution

90–100%

2 33.3%

80–89%

3 50.0%

70–79%

0 0.0%

60–69%

1 16.7%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

33.3%

2 / 6

80%+

83.3%

5 / 6

70%+

83.3%

5 / 6

60%+

100.0%

6 / 6

50%+

100.0%

6 / 6

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

Olympic Trap 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

89.0-90.0%

88.0-90.0%

60.0-60.0%

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: 90.0%. 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	2	89.5%	90.0%	89.0%	Owen •••••
B	3	89.0%	90.0%	88.0%	Matthew •••••
D	1	60.0%	60.0%	60.0%	Geoff •••••

Class Composition

2 33.3%

3 50.0%

1 16.7%

Largest class: B — 3 competitors (50.0%)

Full Results — 6 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 B

Score 90/100

Class placing 1

Class average 89.0%

vs Class Avg +0.0%

Profile Open →

Class A

Score 90/100

Class placing 1

Class average 89.5%

vs Class Avg +0.0%

Profile Open →

Class B

Score 89/100

Class placing 1

Class average 89.0%

vs Class Avg +0.0%

Profile Open →

Class A

Score 89/100

Class placing 1

Class average 89.5%

vs Class Avg +0.0%

Profile Open →

Class B

Score 88/100

Class placing 1

Class average 89.0%

vs Class Avg +0.0%

Profile Open →

Class D

Score 60/100

Class placing 1

Class average 60.0%

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	Class Avg	vs Class Avg
1=	Matthew •••••	B	90/100	90.00%	🔒 1	89.00%	🔒 +0.0%
1=	Owen •••••	A	90/100	90.00%	🔒 1	89.50%	🔒 +0.0%
3=	Christian •••••	B	89/100	89.00%	🔒 1	89.00%	🔒 +0.0%
3=	Marcus •••••	A	89/100	89.00%	🔒 1	89.50%	🔒 +0.0%
5	Oliver •••••	B	88/100	88.00%	🔒 1	89.00%	🔒 +0.0%
6	Geoff •••••	D	60/100	60.00%	🔒 1	60.00%	🔒 +0.0%

Other OTR Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.299s ● FAST

DB 66% · Py 32% · Render 2%

12 queries · avg 16.5ms · max 96.1ms

Render Breakdown

DB Logic (Pre-Render) 0.1984s

Python Logic (Pre-Render) 0.0946s

Full Page Render 0.0057s

QUERY TABLES ▾

⚠ event_review 4× 0.005s

shoot_event 2× 0.005s

shoot_score 2× 0.098s

site_configuration 2× 0.005s

ground 1× 0.084s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [00:28:14.945] 2.5ms

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_…

#2 [00:28:14.948] 1.7ms

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 [00:28:15.046] 96.1ms

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 [00:28:15.050] 2.1ms

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 [00:28:15.052] 1.3ms

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 [00:28:15.054] 1.4ms

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 [00:28:15.056] 1.3ms

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 [00:28:15.058] 1.4ms

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 [00:28:15.143] 84.0ms

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 [00:28:15.146] 1.8ms

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 [00:28:15.151] 3.5ms

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 [00:28:15.153] 1.3ms

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

Olympic Trap 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?