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OTR — Olympic Trap

Olympic Trap at National Clay Shooting Centre

National Clay Shooting Centre

Sunday, 26 May 2013 · CPSA Results →

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Event Rating

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Entries

77.6%

Field Average

92.0%

Highest Score

31.2%

Lowest Score

Top 3 Overall

🥈

David Sipling

114/125

91.20%

🥇

Rod Gould

115/125

92.00%

🥉

Ossie McLean (Jnr)

113/125

90.40%

Event Difficulty

77.6% This Event

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

↑ +3.6% easier than usual

Ground avg: 74.0%

Class Winners

A 10 entered

115/125 — 92.00%

Rod Gould

2: David Sipling — 91.20%

B 13 entered

110/125 — 88.00%

Jack Wilkinson

2: John MacDonald — 87.20%

C 13 entered

105/125 — 84.00%

Carl Burrow

2: Maciej Bilkiewicz — 80.00%

D 12 entered

102/125 — 81.60%

Ian Mulliner

2=: Robert Mulliner — 78.40%

Other 2 entered

100/125 — 80.00%

Stuart Donaldson

2: Emyr Davies — 74.40%

Field Shape

77.6%

Field avg

Olympic Trap at National Clay Shooting Centre had a 60.8 point scoring spread across 50 entries.

Spread 60.8 pts

Front 92.0%

Largest class B

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

Score Distribution

90–100%

3 6.0%

80–89%

19 38.0%

70–79%

19 38.0%

60–69%

7 14.0%

50–59%

1 2.0%

<50%

1 2.0%

Field Achievement

% of competitors reaching each score threshold

90%+

3 / 50

80%+

44.0%

22 / 50

70%+

82.0%

41 / 50

60%+

96.0%

48 / 50

50%+

98.0%

49 / 50

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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

76.0-92.0%

76.8-88.0%

31.2-84.0%

53.6-81.6%

Other

74.4-80.0%

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: 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	10	85.7%	92.0%	76.0%	Rod Gould
B	13	83.2%	88.0%	76.8%	Jack Wilkinson
C	13	71.7%	84.0%	31.2%	Carl Burrow
D	12	71.2%	81.6%	53.6%	Ian Mulliner
Other	2	77.2%	80.0%	74.4%	Stuart Donaldson

Class Composition

10 20.0%

13 26.0%

12 24.0%

Other

2 4.0%

Largest class: B — 13 competitors (26.0%)

Full Results — 50 entries

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

Class A

Score 115/125

vs Class Avg +0.0%

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Class A

Score 114/125

vs Class Avg +0.0%

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Class A

Score 113/125

vs Class Avg +0.0%

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Class B

Score 110/125

vs Class Avg +0.0%

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Class A

Score 109/125

vs Class Avg +0.0%

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Class B

Score 109/125

vs Class Avg +0.0%

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Class B

Score 108/125

vs Class Avg +0.0%

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Class B

Score 107/125

vs Class Avg +0.0%

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Class A

Score 107/125

vs Class Avg +0.0%

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Class A

Score 107/125

vs Class Avg +0.0%

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Class C

Score 105/125

vs Class Avg +0.0%

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Class A

Score 105/125

vs Class Avg +0.0%

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Class B

Score 104/125

vs Class Avg +0.0%

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Class B

Score 104/125

vs Class Avg +0.0%

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Class B

Score 104/125

vs Class Avg +0.0%

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Class D

Score 102/125

vs Class Avg +0.0%

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Class B

Score 102/125

vs Class Avg +0.0%

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Class C

Score 100/125

vs Class Avg +0.0%

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Class Unknown

Score 100/125

vs Class Avg +0.0%

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Class A

Score 99/125

vs Class Avg +0.0%

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Class C

Score 99/125

vs Class Avg +0.0%

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Class C

Score 98/125

vs Class Avg +0.0%

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Class C

Score 98/125

vs Class Avg +0.0%

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Class D

Score 98/125

vs Class Avg +0.0%

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Class D

Score 98/125

vs Class Avg +0.0%

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Class B

Score 97/125

vs Class Avg +0.0%

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Class B

Score 96/125

vs Class Avg +0.0%

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Class C

Score 95/125

vs Class Avg +0.0%

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Class A

Score 95/125

vs Class Avg +0.0%

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Class Unknown

Score 93/125

vs Class Avg +0.0%

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Class D

Score 93/125

vs Class Avg +0.0%

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Class C

Score 92/125

vs Class Avg +0.0%

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Class C

Score 91/125

vs Class Avg +0.0%

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Class C

Score 90/125

vs Class Avg +0.0%

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Class D

Score 89/125

vs Class Avg +0.0%

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Class C

Score 87/125

vs Class Avg +0.0%

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Class D

Score 87/125

vs Class Avg +0.0%

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Class C

Score 86/125

vs Class Avg +0.0%

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Class C

Score 85/125

vs Class Avg +0.0%

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Class D

Score 84/125

vs Class Avg +0.0%

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Class D

Score 84/125

vs Class Avg +0.0%

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Class D

Score 67/125

vs Class Avg +0.0%

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Class B

Score 65/75

vs Class Avg +0.0%

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Class A

Score 64/75

vs Class Avg +0.0%

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Class B

Score 63/75

vs Class Avg +0.0%

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Class B

Score 59/75

vs Class Avg +0.0%

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Class D

Score 55/75

vs Class Avg +0.0%

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Class D

Score 55/75

vs Class Avg +0.0%

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Class D

Score 50/75

vs Class Avg +0.0%

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Class C

Score 39/125

vs Class Avg +0.0%

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Rod Gould	A	115/125	92.00%	🔒 1	🔒 +0.0%
2	David Sipling	A	114/125	91.20%	🔒 1	🔒 +0.0%
3	Ossie McLean (Jnr)	A	113/125	90.40%	🔒 1	🔒 +0.0%
4	Jack Wilkinson	B	110/125	88.00%	🔒 1	🔒 +0.0%
5=	Bradley Davis	A	109/125	87.20%	🔒 1	🔒 +0.0%
5=	John MacDonald	B	109/125	87.20%	🔒 1	🔒 +0.0%
7	Keith Kilvington	B	108/125	86.40%	🔒 1	🔒 +0.0%
8=	Bernard Yeoh	B	107/125	85.60%	🔒 1	🔒 +0.0%
8=	Chris Tate	A	107/125	85.60%	🔒 1	🔒 +0.0%
8=	Wesley Hann	A	107/125	85.60%	🔒 1	🔒 +0.0%
11=	Carl Burrow	C	105/125	84.00%	🔒 1	🔒 +0.0%
11=	Michael Wixey	A	105/125	84.00%	🔒 1	🔒 +0.0%
13=	Jonathan Davis	B	104/125	83.20%	🔒 1	🔒 +0.0%
13=	Mark Evans	B	104/125	83.20%	🔒 1	🔒 +0.0%
13=	Nigel Caves	B	104/125	83.20%	🔒 1	🔒 +0.0%
16=	Ian Mulliner	D	102/125	81.60%	🔒 1	🔒 +0.0%
16=	Paul Jenkins	B	102/125	81.60%	🔒 1	🔒 +0.0%
18=	Maciej Bilkiewicz	C	100/125	80.00%	🔒 1	🔒 +0.0%
18=	Stuart Donaldson	Unknown	100/125	80.00%	🔒 1	🔒 +0.0%
20=	Ed Ling	A	99/125	79.20%	🔒 1	🔒 +0.0%
20=	Mike Davis	C	99/125	79.20%	🔒 1	🔒 +0.0%
22=	Richard Smith	C	98/125	78.40%	🔒 1	🔒 +0.0%
22=	Robert Dand	C	98/125	78.40%	🔒 1	🔒 +0.0%
22=	Robert Mulliner	D	98/125	78.40%	🔒 1	🔒 +0.0%
22=	Tim Connolly	D	98/125	78.40%	🔒 1	🔒 +0.0%
26	Graham Beal	B	97/125	77.60%	🔒 1	🔒 +0.0%
27	Mark Shaw	B	96/125	76.80%	🔒 1	🔒 +0.0%
28=	Matthew Goodwin	C	95/125	76.00%	🔒 1	🔒 +0.0%
28=	Philip Sanders	A	95/125	76.00%	🔒 1	🔒 +0.0%
30=	Emyr Davies	Unknown	93/125	74.40%	🔒 1	🔒 +0.0%
30=	Graham MacDonald	D	93/125	74.40%	🔒 1	🔒 +0.0%
32	Chris Wright	C	92/125	73.60%	🔒 1	🔒 +0.0%
33	Mark Wright	C	91/125	72.80%	🔒 1	🔒 +0.0%
34	Hugh Allan	C	90/125	72.00%	🔒 1	🔒 +0.0%
35	Alan Hicks	D	89/125	71.20%	🔒 1	🔒 +0.0%
36=	Alan Paige	C	87/125	69.60%	🔒 1	🔒 +0.0%
36=	George Brocklesby	D	87/125	69.60%	🔒 1	🔒 +0.0%
38	John Heading	C	86/125	68.80%	🔒 1	🔒 +0.0%
39	Alan Williams	C	85/125	68.00%	🔒 1	🔒 +0.0%
40=	Alan Haynes	D	84/125	67.20%	🔒 1	🔒 +0.0%
40=	George Seaborne	D	84/125	67.20%	🔒 1	🔒 +0.0%
42	Paul Culverwell	D	67/125	53.60%	🔒 1	🔒 +0.0%
43	Charlotte Kerwood	B	65/75	86.67%	🔒 1	🔒 +0.0%
44	Abbey Ling	A	64/75	85.33%	🔒 1	🔒 +0.0%
45	Anita North	B	63/75	84.00%	🔒 1	🔒 +0.0%
46	Sarah Wixey	B	59/75	78.67%	🔒 1	🔒 +0.0%
47=	Jacquelyn Lewis	D	55/75	73.33%	🔒 1	🔒 +0.0%
47=	Katie Cowell	D	55/75	73.33%	🔒 1	🔒 +0.0%
49	Sharon Niven	D	50/75	66.67%	🔒 1	🔒 +0.0%
50	John Ward	C	39/125	31.20%	🔒 1	🔒 +0.0%

Other OTR Events at National Clay Shooting Centre

⚙ Performance Stats DRAG TO MOVE

0.060s ● FAST

DB 35% · Py 40% · Render 24%

12 queries · avg 1.8ms · max 4.2ms

Render Breakdown

Python Logic (Pre-Render) 0.0243s

DB Logic (Pre-Render) 0.0214s

Full Page Render 0.0148s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.003s

shoot_score 2× 0.008s

site_configuration 2× 0.003s

ground 1× 0.001s

admin_menu_item 1× 0.002s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [02:13:55.283] 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 [02:13:55.290] 4.1ms

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 [02:13:55.297] 4.2ms

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 [02:13:55.300] 1.4ms

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 [02:13:55.303] 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 [02:13:55.306] 1.0ms

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 [02:13:55.308] 1.0ms

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 [02:13:55.310] 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 [02:13:55.313] 1.1ms

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 [02:13:55.317] 1.1ms

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 [02:13:55.321] 1.6ms

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 [02:13:55.324] 2.3ms

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 National Clay Shooting Centre

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