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Last Updated: 26 Mar 2026, 19:35

OTR — Olympic Trap

Olympic Trap at National Clay Shooting Centre

National Clay Shooting Centre

Saturday, 03 May 2025 · CPSA Results →

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Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

79.3%

Field Average

96.8%

Highest Score

52.0%

Lowest Score

Top 3 Overall

🥈

Matthew •••••

119/125

95.20%

🥇

Nathan •••••

121/125

96.80%

🥉

James •••••

117/125

93.60%

Event Difficulty

79.3% This Event

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

↑ +5.4% easier than usual

Ground avg: 73.9%

Class Winners

A 11 entered

121/125 — 96.80%

Nathan •••••

2: Matthew ••••• — 95.20%

B 17 entered

108/125 — 86.40%

Tim •••••

2=: Harry ••••• — 84.80%

C 12 entered

110/125 — 88.00%

Rhys •••••

2: Liam Crabb — 83.20%

D 7 entered

98/125 — 78.40%

Karl •••••

2: Abbie ••••• — 76.00%

Other 1 entered

105/125 — 84.00%

Mackenzie •••••

Field Shape

79.3%

Field avg

Olympic Trap at National Clay Shooting Centre had a 44.8 point scoring spread across 48 entries.

Spread 44.8 pts

Front 96.8%

Largest class B

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

Score Distribution

90–100%

5 10.4%

80–89%

21 43.8%

70–79%

14 29.2%

60–69%

5 10.4%

50–59%

3 6.2%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

10.4%

5 / 48

80%+

54.2%

26 / 48

70%+

83.3%

40 / 48

60%+

93.8%

45 / 48

50%+

100.0%

48 / 48

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 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

—

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

68.8-96.8%

73.3-86.7%

61.6-88.0%

52.0-78.4%

Other

84.0-84.0%

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: 96.8%. 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	11	87.7%	96.8%	68.8%	Nathan •••••
B	17	81.0%	86.7%	73.3%	Tim •••••
C	12	77.0%	88.0%	61.6%	Rhys •••••
D	7	65.3%	78.4%	52.0%	Karl •••••
Other	1	84.0%	84.0%	84.0%	Mackenzie •••••

Class Composition

11 22.9%

17 35.4%

12 25.0%

7 14.6%

Other

1 2.1%

Largest class: B — 17 competitors (35.4%)

Full Results — 48 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 A

Score 121/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class A

Score 119/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class A

Score 117/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class A

Score 116/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class A

Score 114/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class A

Score 112/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class A

Score 110/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class C

Score 110/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 108/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class A

Score 107/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class B

Score 106/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 106/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class Unknown

Score 105/125

Class placing 1

Class average 84.0%

vs Class Avg +0.0%

Profile Open →

Class A

Score 105/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class C

Score 104/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 102/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 102/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 101/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 101/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 101/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 100/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 100/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 100/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 99/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class A

Score 99/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class B

Score 99/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 99/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class D

Score 98/125

Class placing 1

Class average 65.3%

vs Class Avg +0.0%

Profile Open →

Class B

Score 97/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 97/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 96/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class D

Score 95/125

Class placing 1

Class average 65.3%

vs Class Avg +0.0%

Profile Open →

Class C

Score 95/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 94/125

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 94/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 93/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class A

Score 86/125

Class placing 1

Class average 87.7%

vs Class Avg +0.0%

Profile Open →

Class C

Score 85/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class D

Score 85/125

Class placing 1

Class average 65.3%

vs Class Avg +0.0%

Profile Open →

Class D

Score 84/125

Class placing 1

Class average 65.3%

vs Class Avg +0.0%

Profile Open →

Class C

Score 77/125

Class placing 1

Class average 77.0%

vs Class Avg +0.0%

Profile Open →

Class D

Score 74/125

Class placing 1

Class average 65.3%

vs Class Avg +0.0%

Profile Open →

Class D

Score 70/125

Class placing 1

Class average 65.3%

vs Class Avg +0.0%

Profile Open →

Class D

Score 65/125

Class placing 1

Class average 65.3%

vs Class Avg +0.0%

Profile Open →

Class B

Score 65/75

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 65/75

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 55/75

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

Class B

Score 41/50

Class placing 1

Class average 81.0%

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	Class Avg	vs Class Avg
1	Nathan •••••	A	121/125	96.80%	🔒 1	87.70%	🔒 +0.0%
2	Matthew •••••	A	119/125	95.20%	🔒 1	87.70%	🔒 +0.0%
3	James •••••	A	117/125	93.60%	🔒 1	87.70%	🔒 +0.0%
4	Steve •••••	A	116/125	92.80%	🔒 1	87.70%	🔒 +0.0%
5	Thomas •••••	A	114/125	91.20%	🔒 1	87.70%	🔒 +0.0%
6	Michael •••••	A	112/125	89.60%	🔒 1	87.70%	🔒 +0.0%
7=	Lucas •••••	A	110/125	88.00%	🔒 1	87.70%	🔒 +0.0%
7=	Rhys •••••	C	110/125	88.00%	🔒 1	77.00%	🔒 +0.0%
9	Tim •••••	B	108/125	86.40%	🔒 1	81.00%	🔒 +0.0%
10	Argun •••••	A	107/125	85.60%	🔒 1	87.70%	🔒 +0.0%
11=	Harry •••••	B	106/125	84.80%	🔒 1	81.00%	🔒 +0.0%
11=	Leah •••••	B	106/125	84.80%	🔒 1	81.00%	🔒 +0.0%
13=	Mackenzie •••••	Unknown	105/125	84.00%	🔒 1	84.00%	🔒 +0.0%
13=	Mark •••••	A	105/125	84.00%	🔒 1	87.70%	🔒 +0.0%
15	Liam Crabb	C	104/125	83.20%	🔒 1	77.00%	🔒 +0.0%
16=	David •••••	B	102/125	81.60%	🔒 1	81.00%	🔒 +0.0%
16=	Paul •••••	B	102/125	81.60%	🔒 1	81.00%	🔒 +0.0%
18=	Francesca •••••	C	101/125	80.80%	🔒 1	77.00%	🔒 +0.0%
18=	Graham •••••	C	101/125	80.80%	🔒 1	77.00%	🔒 +0.0%
18=	Ian •••••	B	101/125	80.80%	🔒 1	81.00%	🔒 +0.0%
21=	Charlie •••••	B	100/125	80.00%	🔒 1	81.00%	🔒 +0.0%
21=	Elise •••••	C	100/125	80.00%	🔒 1	77.00%	🔒 +0.0%
21=	Joe •••••	B	100/125	80.00%	🔒 1	81.00%	🔒 +0.0%
24=	Benjamin •••••	B	99/125	79.20%	🔒 1	81.00%	🔒 +0.0%
24=	Christopher •••••	A	99/125	79.20%	🔒 1	87.70%	🔒 +0.0%
24=	Joseph •••••	B	99/125	79.20%	🔒 1	81.00%	🔒 +0.0%
24=	Oliver •••••	C	99/125	79.20%	🔒 1	77.00%	🔒 +0.0%
28	Karl •••••	D	98/125	78.40%	🔒 1	65.30%	🔒 +0.0%
29=	Howard •••••	B	97/125	77.60%	🔒 1	81.00%	🔒 +0.0%
29=	Maciej •••••	B	97/125	77.60%	🔒 1	81.00%	🔒 +0.0%
31	Jim •••••	C	96/125	76.80%	🔒 1	77.00%	🔒 +0.0%
32=	Abbie •••••	D	95/125	76.00%	🔒 1	65.30%	🔒 +0.0%
32=	Cemal •••••	C	95/125	76.00%	🔒 1	77.00%	🔒 +0.0%
34=	John •••••	B	94/125	75.20%	🔒 1	81.00%	🔒 +0.0%
34=	Michael •••••	C	94/125	75.20%	🔒 1	77.00%	🔒 +0.0%
36	Paul •••••	C	93/125	74.40%	🔒 1	77.00%	🔒 +0.0%
37	Abbey •••••	A	86/125	68.80%	🔒 1	87.70%	🔒 +0.0%
38=	Andy •••••	C	85/125	68.00%	🔒 1	77.00%	🔒 +0.0%
38=	Anne •••••	D	85/125	68.00%	🔒 1	65.30%	🔒 +0.0%
40	Richard •••••	D	84/125	67.20%	🔒 1	65.30%	🔒 +0.0%
41	Senol •••••	C	77/125	61.60%	🔒 1	77.00%	🔒 +0.0%
42	Julian •••••	D	74/125	59.20%	🔒 1	65.30%	🔒 +0.0%
43	Peter •••••	D	70/125	56.00%	🔒 1	65.30%	🔒 +0.0%
44=	Anastasia •••••	D	65/125	52.00%	🔒 1	65.30%	🔒 +0.0%
44=	Bayram •••••	B	65/75	86.67%	🔒 1	81.00%	🔒 +0.0%
44=	Finley •••••	B	65/75	86.67%	🔒 1	81.00%	🔒 +0.0%
47	Tegan •••••	B	55/75	73.33%	🔒 1	81.00%	🔒 +0.0%
48	Hollie •••••	B	41/50	82.00%	🔒 1	81.00%	🔒 +0.0%

Other OTR Events at National Clay Shooting Centre

⚙ Performance Stats DRAG TO MOVE

0.043s ● FAST

DB 39% · Py 31% · Render 29%

12 queries · avg 1.4ms · max 2.6ms

Render Breakdown

DB Logic (Pre-Render) 0.0168s

Python Logic (Pre-Render) 0.0134s

Full Page Render 0.0125s

QUERY TABLES ▾

⚠ event_review 4× 0.005s

shoot_event 2× 0.004s

shoot_score 2× 0.004s

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 [23:42:54.918] 2.6ms

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 [23:42:54.921] 1.8ms

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 [23:42:54.926] 1.8ms

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 [23:42:54.929] 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 [23:42:54.931] 1.1ms

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 [23:42:54.932] 1.2ms

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 [23:42:54.934] 1.2ms

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 [23:42:54.936] 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 [23:42:54.937] 1.2ms

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 [23:42:54.939] 1.2ms

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 [23:42:54.941] 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 IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [23:42:54.942] 1.1ms

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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