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OTR — Olympic Trap

Olympic Trap at Brook Bank

Brook Bank

Sunday, 14 September 2025 · CPSA Results →

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Event Rating

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Entries

75.0%

Field Average

92.0%

Highest Score

0.0%

Lowest Score

Top 3 Overall

🥇 =1

Anthony Ellis

Christian Schofield

Wesley Hann

46/50

92.00%

Event Difficulty

75.0% This Event

vs. Brook Bank historical average (Olympic Trap)

↓ -5.3% harder than usual

Ground avg: 80.3%

Class Winners

A 4 entered

46/50 — 92.00%

Anthony Ellis(tied) Wesley Hann(tied)

3: Ian Moore — 88.00%

B 15 entered

46/50 — 92.00%

Christian Schofield

2: Dean Rickford — 90.00%

C 10 entered

42/50 — 84.00%

Ian Stephenson(tied) Steve Tarrant(tied) Steven Dugay(tied)

4=: DP Pinno — 82.00%

D 17 entered

41/50 — 82.00%

Steve Payne

2=: Keith Foote — 74.00%

Other 1 entered

13/25 — 52.00%

Simon Pitts

Field Shape

75.0%

Field avg

Olympic Trap at Brook Bank had a 92.0 point scoring spread across 47 entries.

Spread 92.0 pts

Front 92.0%

Largest class D

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

Score Distribution

90–100%

4 8.5%

80–89%

20 42.6%

70–79%

11 23.4%

60–69%

7 14.9%

50–59%

4 8.5%

<50%

1 2.1%

Field Achievement

% of competitors reaching each score threshold

90%+

4 / 47

80%+

51.1%

24 / 47

70%+

74.5%

35 / 47

60%+

89.4%

42 / 47

50%+

97.9%

46 / 47

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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

Olympic Trap performance across events held at this ground.

Last 12 months

Overall Average Trend

Classification Trend Comparison

Classification Deep Dive

4 active classifications

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Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

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Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

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Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

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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

80.0-92.0%

58.0-92.0%

72.0-84.0%

0.0-82.0%

Other

52.0-52.0%

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: 92.0%. 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	88.0%	92.0%	80.0%	Anthony Ellis
B	15	82.7%	92.0%	58.0%	Christian Schofield
C	10	80.2%	84.0%	72.0%	Ian Stephenson
D	17	63.5%	82.0%	0.0%	Steve Payne
Other	1	52.0%	52.0%	52.0%	Simon Pitts

Class Composition

4 8.5%

15 31.9%

10 21.3%

17 36.2%

Other

1 2.1%

Largest class: D — 17 competitors (36.2%)

Full Results — 47 entries

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

Class A

Score 46/50

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 46/50

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Class B

Score 45/50

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Class B

Score 44/50

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Class A

Score 44/50

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Class B

Score 44/50

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Class B

Score 44/50

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Class B

Score 44/50

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Class B

Score 44/50

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Class B

Score 44/50

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Class B

Score 43/50

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Class C

Score 42/50

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Class C

Score 42/50

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Class C

Score 42/50

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Class C

Score 41/50

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Class C

Score 41/50

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Class B

Score 41/50

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Class C

Score 41/50

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Class D

Score 41/50

vs Class Avg +0.0%

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Class A

Score 40/50

vs Class Avg +0.0%

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Class C

Score 40/50

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Class B

Score 39/50

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Class C

Score 39/50

vs Class Avg +0.0%

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Class D

Score 37/50

vs Class Avg +0.0%

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Class C

Score 37/50

vs Class Avg +0.0%

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Class D

Score 37/50

vs Class Avg +0.0%

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Class D

Score 36/50

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Class D

Score 36/50

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Class D

Score 36/50

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Class D

Score 35/50

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Class D

Score 35/50

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Class D

Score 34/50

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Class D

Score 33/50

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Class D

Score 32/50

vs Class Avg +0.0%

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Class D

Score 31/50

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Class B

Score 31/50

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Class D

Score 30/50

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Class D

Score 30/50

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Class B

Score 29/50

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Class D

Score 29/50

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Class B

Score 21/25

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Class B

Score 20/25

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Class C

Score 18/25

vs Class Avg +0.0%

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Class D

Score 14/25

vs Class Avg +0.0%

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Class Unknown

Score 13/25

vs Class Avg +0.0%

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Class D

Score 0/50

vs Class Avg +0.0%

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	Anthony Ellis	A	46/50	92.00%	🔒 1	🔒 +0.0%
1=	Christian Schofield	B	46/50	92.00%	🔒 1	🔒 +0.0%
1=	Wesley Hann	A	46/50	92.00%	🔒 1	🔒 +0.0%
4	Dean Rickford	B	45/50	90.00%	🔒 1	🔒 +0.0%
5=	George Seaborne	B	44/50	88.00%	🔒 1	🔒 +0.0%
5=	Ian Moore	A	44/50	88.00%	🔒 1	🔒 +0.0%
5=	John Slatter	B	44/50	88.00%	🔒 1	🔒 +0.0%
5=	Jonathan Davis	B	44/50	88.00%	🔒 1	🔒 +0.0%
5=	Leanne Palmer	B	44/50	88.00%	🔒 1	🔒 +0.0%
5=	Phillip Dando	B	44/50	88.00%	🔒 1	🔒 +0.0%
5=	Robert Dalzell	B	44/50	88.00%	🔒 1	🔒 +0.0%
12	Colin Chidley	B	43/50	86.00%	🔒 1	🔒 +0.0%
13=	Ian Stephenson	C	42/50	84.00%	🔒 1	🔒 +0.0%
13=	Steve Tarrant	C	42/50	84.00%	🔒 1	🔒 +0.0%
13=	Steven Dugay	C	42/50	84.00%	🔒 1	🔒 +0.0%
16=	DP Pinno	C	41/50	82.00%	🔒 1	🔒 +0.0%
16=	Julian Fairburn	C	41/50	82.00%	🔒 1	🔒 +0.0%
16=	Matthew Mills	B	41/50	82.00%	🔒 1	🔒 +0.0%
16=	Perry Leamon	C	41/50	82.00%	🔒 1	🔒 +0.0%
16=	Steve Payne	D	41/50	82.00%	🔒 1	🔒 +0.0%
21=	Graham Andrew	A	40/50	80.00%	🔒 1	🔒 +0.0%
21=	Mark Bryant	C	40/50	80.00%	🔒 1	🔒 +0.0%
23=	Darrin Donaldson	B	39/50	78.00%	🔒 1	🔒 +0.0%
23=	Ian King	C	39/50	78.00%	🔒 1	🔒 +0.0%
25=	Keith Foote	D	37/50	74.00%	🔒 1	🔒 +0.0%
25=	Matthew Rowland	C	37/50	74.00%	🔒 1	🔒 +0.0%
25=	Paul Gorrett	D	37/50	74.00%	🔒 1	🔒 +0.0%
28=	Andrew Hill	D	36/50	72.00%	🔒 1	🔒 +0.0%
28=	Geoffrey Seaborne	D	36/50	72.00%	🔒 1	🔒 +0.0%
28=	Nicholas Ristic	D	36/50	72.00%	🔒 1	🔒 +0.0%
31=	Gareth Davies	D	35/50	70.00%	🔒 1	🔒 +0.0%
31=	Jacquelyn Lewis	D	35/50	70.00%	🔒 1	🔒 +0.0%
33	Ian Averty	D	34/50	68.00%	🔒 1	🔒 +0.0%
34	Geoff Darke	D	33/50	66.00%	🔒 1	🔒 +0.0%
35	Stuart Taylor	D	32/50	64.00%	🔒 1	🔒 +0.0%
36=	John Rutherford	D	31/50	62.00%	🔒 1	🔒 +0.0%
36=	Tim Rowe	B	31/50	62.00%	🔒 1	🔒 +0.0%
38=	Andrew King	D	30/50	60.00%	🔒 1	🔒 +0.0%
38=	Simon Drieu	D	30/50	60.00%	🔒 1	🔒 +0.0%
40=	Brian Coupe	B	29/50	58.00%	🔒 1	🔒 +0.0%
40=	David Curtis	D	29/50	58.00%	🔒 1	🔒 +0.0%
42	Oliver Austin	B	21/25	84.00%	🔒 1	🔒 +0.0%
43	Stefan Roberts	B	20/25	80.00%	🔒 1	🔒 +0.0%
44	Angelo Binaccioni	C	18/25	72.00%	🔒 1	🔒 +0.0%
45	David Smith	D	14/25	56.00%	🔒 1	🔒 +0.0%
46	Simon Pitts	Unknown	13/25	52.00%	🔒 1	🔒 +0.0%
47	Amanda Gallagher	D	0/50	0.00%	🔒 1	🔒 +0.0%

Other OTR Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.030s ● FAST

DB 40% · Py 40% · Render 20%

12 queries · avg 1.0ms · max 1.6ms

Render Breakdown

Python Logic (Pre-Render) 0.0120s

DB Logic (Pre-Render) 0.0119s

Full Page Render 0.0059s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

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 [00:18:03.914] 1.6ms

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 [00:18:03.916] 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 [00:18:03.919] 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 [00:18:03.921] 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 [00:18:03.923] 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 [00:18:03.925] 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 [00:18:03.926] 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 [00:18:03.928] 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…

#9 [00:18:03.929] 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 [00:18:03.931] 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 [00:18:03.932] 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 [00:18:03.933] 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

Olympic Trap at Brook Bank

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