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OTR — Olympic Trap

Olympic Trap at Brook Bank

Brook Bank

Sunday, 15 February 2026 · CPSA Results →

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Event Rating

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Entries

85.3%

Field Average

98.0%

Highest Score

72.0%

Lowest Score

Top 3 Overall

🥈 =2

Mark Baker

Owen Clark

47/50

94.00%

🥇

Wesley Hann

49/50

98.00%

Event Difficulty

85.3% This Event

vs. Brook Bank historical average (Olympic Trap)

↑ +5.9% easier than usual

Ground avg: 79.4%

Class Winners

A 4 entered

49/50 — 98.00%

Wesley Hann

2: Owen Clark — 94.00%

B 7 entered

47/50 — 94.00%

Mark Baker

2=: Dean Rickford — 92.00%

C 2 entered

43/50 — 86.00%

Paul Cornish

2: DP Pinno — 80.00%

D 1 entered

36/50 — 72.00%

Geoff Darke

Field Shape

85.3%

Field avg

Olympic Trap at Brook Bank had a 26.0 point scoring spread across 14 entries.

Spread 26.0 pts

Front 98.0%

Largest class B

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

Score Distribution

90–100%

5 35.7%

80–89%

6 42.9%

70–79%

3 21.4%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

35.7%

5 / 14

80%+

78.6%

11 / 14

70%+

100.0%

14 / 14

60%+

100.0%

14 / 14

50%+

100.0%

14 / 14

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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

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

82.0-98.0%

76.0-94.0%

80.0-86.0%

72.0-72.0%

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: 98.0%. 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	90.5%	98.0%	82.0%	Wesley Hann
B	7	84.9%	94.0%	76.0%	Mark Baker
C	2	83.0%	86.0%	80.0%	Paul Cornish
D	1	72.0%	72.0%	72.0%	Geoff Darke

Class Composition

4 28.6%

7 50.0%

2 14.3%

1 7.1%

Largest class: B — 7 competitors (50.0%)

Full Results — 14 entries

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

Class A

Score 49/50

vs Class Avg +0.0%

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Class B

Score 47/50

vs Class Avg +0.0%

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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 B

Score 46/50

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 A

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 40/50

vs Class Avg +0.0%

Profile Open →

Class C

Score 40/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 39/50

vs Class Avg +0.0%

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Class B

Score 38/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 36/50

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Wesley Hann	A	49/50	98.00%	🔒 1	🔒 +0.0%
2=	Mark Baker	B	47/50	94.00%	🔒 1	🔒 +0.0%
2=	Owen Clark	A	47/50	94.00%	🔒 1	🔒 +0.0%
4=	Dean Rickford	B	46/50	92.00%	🔒 1	🔒 +0.0%
4=	Matthew Mills	B	46/50	92.00%	🔒 1	🔒 +0.0%
6	Graham Andrew	A	44/50	88.00%	🔒 1	🔒 +0.0%
7	Paul Cornish	C	43/50	86.00%	🔒 1	🔒 +0.0%
8=	Anthony Ellis	A	41/50	82.00%	🔒 1	🔒 +0.0%
8=	Christian Schofield	B	41/50	82.00%	🔒 1	🔒 +0.0%
10=	Benjamin Hibbert	B	40/50	80.00%	🔒 1	🔒 +0.0%
10=	DP Pinno	C	40/50	80.00%	🔒 1	🔒 +0.0%
12	Titus Brimacombe	B	39/50	78.00%	🔒 1	🔒 +0.0%
13	Robert Dalzell	B	38/50	76.00%	🔒 1	🔒 +0.0%
14	Geoff Darke	D	36/50	72.00%	🔒 1	🔒 +0.0%

Other OTR Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.028s ● FAST

DB 48% · Py 39% · Render 13%

12 queries · avg 1.1ms · max 1.9ms

Render Breakdown

DB Logic (Pre-Render) 0.0136s

Python Logic (Pre-Render) 0.0111s

Full Page Render 0.0037s

QUERY TABLES ▾

⚠ event_review 4× 0.005s

shoot_event 2× 0.003s

shoot_score 2× 0.002s

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 [00:15:37.052] 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 [00:15:37.054] 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 [00:15:37.056] 1.3ms

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 [00:15:37.058] 1.0ms

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 [00:15:37.060] 1.0ms

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 [00:15:37.061] 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 [00:15:37.064] 1.9ms

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 [00:15:37.065] 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 [00:15:37.067] 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 [00:15:37.069] 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 [00:15:37.070] 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 [00:15:37.072] 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

Olympic Trap at Brook Bank

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Historical Trends at Brook Bank

Classification Deep Dive

Event Performance Analysis

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