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OTR — Olympic Trap

Olympic Trap at National Clay Shooting Centre

National Clay Shooting Centre

Sunday, 08 April 2012 · CPSA Results →

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Event Rating

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Entries

77.0%

Field Average

92.5%

Highest Score

50.0%

Lowest Score

Top 3 Overall

🥈

Rod Gould

183/200

91.50%

🥇

Ed Ling

185/200

92.50%

🥉

Michael Wixey

182/200

91.00%

Event Difficulty

77.0% This Event

vs. National Clay Shooting Centre historical average (Olympic Trap)

↑ +2.9% easier than usual

Ground avg: 74.1%

Class Winners

A 9 entered

185/200 — 92.50%

Ed Ling

2: Rod Gould — 91.50%

B 18 entered

171/200 — 85.50%

Chris Wright

2: Chris Tate — 85.00%

C 10 entered

169/200 — 84.50%

Paul Jenkins

2: Reg Toms — 83.00%

D 10 entered

166/200 — 83.00%

Gareth Stanford-Iddon

2: Matthew Goodwin — 77.50%

Other 4 entered

50/75 — 66.67%

Kath Bright(tied) Katie Cowell(tied)

3: Sharon Niven — 65.33%

Field Shape

77.0%

Field avg

Olympic Trap at National Clay Shooting Centre had a 42.5 point scoring spread across 51 entries.

Spread 42.5 pts

Front 92.5%

Largest class B

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

Score Distribution

90–100%

3 5.9%

80–89%

18 35.3%

70–79%

19 37.3%

60–69%

10 19.6%

50–59%

1 2.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

3 / 51

80%+

41.2%

21 / 51

70%+

78.4%

40 / 51

60%+

98.0%

50 / 51

50%+

100.0%

51 / 51

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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 National Clay Shooting Centre

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)—

—

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

75.5-92.5%

65.0-85.5%

67.5-84.5%

50.0-83.0%

Other

64.0-66.7%

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: 92.5%. 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	9	85.7%	92.5%	75.5%	Ed Ling
B	18	79.9%	85.5%	65.0%	Chris Wright
C	10	75.9%	84.5%	67.5%	Paul Jenkins
D	10	69.8%	83.0%	50.0%	Gareth Stanford-Iddon
Other	4	65.7%	66.7%	64.0%	Kath Bright

Class Composition

9 17.6%

18 35.3%

10 19.6%

Other

4 7.8%

Largest class: B — 18 competitors (35.3%)

Full Results — 51 entries

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

Class A

Score 185/200

vs Class Avg +0.0%

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Class A

Score 183/200

vs Class Avg +0.0%

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Class A

Score 182/200

vs Class Avg +0.0%

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Class A

Score 176/200

vs Class Avg +0.0%

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Class A

Score 174/200

vs Class Avg +0.0%

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Class B

Score 171/200

vs Class Avg +0.0%

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Class B

Score 170/200

vs Class Avg +0.0%

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Class A

Score 170/200

vs Class Avg +0.0%

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Class B

Score 169/200

vs Class Avg +0.0%

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Class C

Score 169/200

vs Class Avg +0.0%

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Class B

Score 168/200

vs Class Avg +0.0%

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Class B

Score 168/200

vs Class Avg +0.0%

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Class B

Score 167/200

vs Class Avg +0.0%

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Class D

Score 166/200

vs Class Avg +0.0%

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Class A

Score 166/200

vs Class Avg +0.0%

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Class C

Score 166/200

vs Class Avg +0.0%

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Class C

Score 165/200

vs Class Avg +0.0%

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Class B

Score 163/200

vs Class Avg +0.0%

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Class B

Score 162/200

vs Class Avg +0.0%

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Class B

Score 158/200

vs Class Avg +0.0%

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Class B

Score 158/200

vs Class Avg +0.0%

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Class A

Score 156/200

vs Class Avg +0.0%

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Class B

Score 155/200

vs Class Avg +0.0%

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Class D

Score 155/200

vs Class Avg +0.0%

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Class C

Score 154/200

vs Class Avg +0.0%

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Class C

Score 154/200

vs Class Avg +0.0%

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Class D

Score 152/200

vs Class Avg +0.0%

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Class B

Score 151/200

vs Class Avg +0.0%

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Class B

Score 151/200

vs Class Avg +0.0%

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Class A

Score 151/200

vs Class Avg +0.0%

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Class D

Score 149/200

vs Class Avg +0.0%

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Class C

Score 148/200

vs Class Avg +0.0%

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Class B

Score 147/200

vs Class Avg +0.0%

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Class C

Score 144/200

vs Class Avg +0.0%

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Class C

Score 141/200

vs Class Avg +0.0%

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Class D

Score 139/200

vs Class Avg +0.0%

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Class C

Score 135/200

vs Class Avg +0.0%

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Class B

Score 130/200

vs Class Avg +0.0%

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Class D

Score 123/200

vs Class Avg +0.0%

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Class D

Score 122/200

vs Class Avg +0.0%

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Class B

Score 63/75

vs Class Avg +0.0%

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Class B

Score 63/75

vs Class Avg +0.0%

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Class D

Score 58/75

vs Class Avg +0.0%

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Class B

Score 57/75

vs Class Avg +0.0%

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Class C

Score 53/75

vs Class Avg +0.0%

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Class D

Score 51/75

vs Class Avg +0.0%

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Class D

Score 50/100

vs Class Avg +0.0%

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Class Unknown

Score 50/75

vs Class Avg +0.0%

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Class Unknown

Score 50/75

vs Class Avg +0.0%

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Class Unknown

Score 49/75

vs Class Avg +0.0%

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Class Unknown

Score 48/75

vs Class Avg +0.0%

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Ed Ling	A	185/200	92.50%	🔒 1	🔒 +0.0%
2	Rod Gould	A	183/200	91.50%	🔒 1	🔒 +0.0%
3	Michael Wixey	A	182/200	91.00%	🔒 1	🔒 +0.0%
4	Ossie McLean (Jnr)	A	176/200	88.00%	🔒 1	🔒 +0.0%
5	Adam Gutteridge	A	174/200	87.00%	🔒 1	🔒 +0.0%
6	Chris Wright	B	171/200	85.50%	🔒 1	🔒 +0.0%
7=	Chris Tate	B	170/200	85.00%	🔒 1	🔒 +0.0%
7=	David Sipling	A	170/200	85.00%	🔒 1	🔒 +0.0%
9=	Michael Wensley	B	169/200	84.50%	🔒 1	🔒 +0.0%
9=	Paul Jenkins	C	169/200	84.50%	🔒 1	🔒 +0.0%
11=	Mark Evans	B	168/200	84.00%	🔒 1	🔒 +0.0%
11=	Nigel Caves	B	168/200	84.00%	🔒 1	🔒 +0.0%
13	Keith Kilvington	B	167/200	83.50%	🔒 1	🔒 +0.0%
14=	Gareth Stanford-Iddon	D	166/200	83.00%	🔒 1	🔒 +0.0%
14=	John MacDonald	A	166/200	83.00%	🔒 1	🔒 +0.0%
14=	Reg Toms	C	166/200	83.00%	🔒 1	🔒 +0.0%
17	Carl Burrow	C	165/200	82.50%	🔒 1	🔒 +0.0%
18	Bernard Yeoh	B	163/200	81.50%	🔒 1	🔒 +0.0%
19	Jack Wilkinson	B	162/200	81.00%	🔒 1	🔒 +0.0%
20=	John Heading	B	158/200	79.00%	🔒 1	🔒 +0.0%
20=	Jonathan Davis	B	158/200	79.00%	🔒 1	🔒 +0.0%
22	Bradley Davis	A	156/200	78.00%	🔒 1	🔒 +0.0%
23=	Mark Shaw	B	155/200	77.50%	🔒 1	🔒 +0.0%
23=	Matthew Goodwin	D	155/200	77.50%	🔒 1	🔒 +0.0%
25=	Robert Dand	C	154/200	77.00%	🔒 1	🔒 +0.0%
25=	Robert Mulliner	C	154/200	77.00%	🔒 1	🔒 +0.0%
27	Graham MacDonald	D	152/200	76.00%	🔒 1	🔒 +0.0%
28=	Darren Burtenshaw	B	151/200	75.50%	🔒 1	🔒 +0.0%
28=	Howard Batt	B	151/200	75.50%	🔒 1	🔒 +0.0%
28=	Matthew Panter	A	151/200	75.50%	🔒 1	🔒 +0.0%
31	George Seaborne	D	149/200	74.50%	🔒 1	🔒 +0.0%
32	Mike Davis	C	148/200	74.00%	🔒 1	🔒 +0.0%
33	Howard Beaumont	B	147/200	73.50%	🔒 1	🔒 +0.0%
34	Shaun Porter	C	144/200	72.00%	🔒 1	🔒 +0.0%
35	Christopher Holmes	C	141/200	70.50%	🔒 1	🔒 +0.0%
36	Geoffrey Seaborne	D	139/200	69.50%	🔒 1	🔒 +0.0%
37	Ian Mulliner	C	135/200	67.50%	🔒 1	🔒 +0.0%
38	Wayne Dukes	B	130/200	65.00%	🔒 1	🔒 +0.0%
39	Laugharne Jones	D	123/200	61.50%	🔒 1	🔒 +0.0%
40	Richard Smith	D	122/200	61.00%	🔒 1	🔒 +0.0%
41=	Abbey Ling	B	63/75	84.00%	🔒 1	🔒 +0.0%
41=	Charlotte Kerwood	B	63/75	84.00%	🔒 1	🔒 +0.0%
43	Jacquelyn Lewis	D	58/75	77.33%	🔒 1	🔒 +0.0%
44	Sarah Wixey	B	57/75	76.00%	🔒 1	🔒 +0.0%
45	Rachel Parish	C	53/75	70.67%	🔒 1	🔒 +0.0%
46	Emma Ralph	D	51/75	68.00%	🔒 1	🔒 +0.0%
47=	Henry Baillie-Hamilton	D	50/100	50.00%	🔒 1	🔒 +0.0%
47=	Kath Bright	Unknown	50/75	66.67%	🔒 1	🔒 +0.0%
47=	Katie Cowell	Unknown	50/75	66.67%	🔒 1	🔒 +0.0%
50	Sharon Niven	Unknown	49/75	65.33%	🔒 1	🔒 +0.0%
51	Katie Jemmison	Unknown	48/75	64.00%	🔒 1	🔒 +0.0%

Other OTR Events at National Clay Shooting Centre

⚙ Performance Stats DRAG TO MOVE

0.035s ● FAST

DB 36% · Py 39% · Render 24%

12 queries · avg 1.0ms · max 1.8ms

Render Breakdown

Python Logic (Pre-Render) 0.0136s

DB Logic (Pre-Render) 0.0125s

Full Page Render 0.0084s

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 [04:56:27.652] 1.8ms

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 [04:56:27.655] 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 [04:56:27.658] 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 [04:56:27.660] 1.2ms

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 [04:56:27.662] 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 [04:56:27.664] 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 [04:56:27.665] 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…

#8 [04:56:27.667] 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 [04:56:27.668] 0.9ms

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 [04:56:27.670] 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 [04:56:27.672] 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 [04:56:27.673] 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 National Clay Shooting Centre

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Historical Trends at National Clay Shooting Centre

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