Back to Events

OSK — Olympic Skeet

Olympic Skeet at National Clay Shooting Centre

National Clay Shooting Centre

Saturday, 29 March 2025 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

79.8%

Field Average

96.8%

Highest Score

60.0%

Lowest Score

Top 3 Overall

🥈

Dominic Cooper

119/125

95.20%

🥇

Arran Eccleston

121/125

96.80%

🥉

Mitchell Brooker-Smith

117/125

93.60%

Event Difficulty

79.8% This Event

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

↑ +3.7% easier than usual

Ground avg: 76.1%

Class Winners

A 9 entered

121/125 — 96.80%

Arran Eccleston

2: Dominic Cooper — 95.20%

B 9 entered

115/125 — 92.00%

Jessica Hambrook

2=: Denzil Grose — 89.60%

C 11 entered

111/125 — 88.80%

Charles Worrall

2: Harry Reveler — 85.60%

D 8 entered

94/125 — 75.20%

Gary Duff

2: Tom Windhaber — 66.40%

Field Shape

79.8%

Field avg

Olympic Skeet at National Clay Shooting Centre had a 36.8 point scoring spread across 37 entries.

Spread 36.8 pts

Front 96.8%

Largest class C

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

Score Distribution

90–100%

6 16.2%

80–89%

13 35.1%

70–79%

10 27.0%

60–69%

8 21.6%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

16.2%

6 / 37

80%+

51.4%

19 / 37

70%+

78.4%

29 / 37

60%+

100.0%

37 / 37

50%+

100.0%

37 / 37

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 Skeet 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

84.8-96.8%

74.4-92.0%

60.0-88.8%

60.8-76.0%

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	9	90.8%	96.8%	84.8%	Arran Eccleston
B	9	84.9%	92.0%	74.4%	Jessica Hambrook
C	11	76.4%	88.8%	60.0%	Charles Worrall
D	8	66.4%	76.0%	60.8%	Gary Duff

Class Composition

9 24.3%

11 29.7%

8 21.6%

Largest class: C — 11 competitors (29.7%)

Full Results — 37 entries

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

Class A

Score 121/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 119/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 117/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 115/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 114/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 113/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 112/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 112/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 112/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 112/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 111/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 111/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 110/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 108/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 107/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 107/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 106/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 106/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 101/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 99/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 99/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 97/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 95/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 94/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 93/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 93/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 91/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 90/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 83/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 81/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 81/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 80/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 78/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 77/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 76/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 75/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 57/75

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Arran Eccleston	A	121/125	96.80%	🔒 1	🔒 +0.0%
2	Dominic Cooper	A	119/125	95.20%	🔒 1	🔒 +0.0%
3	Mitchell Brooker-Smith	A	117/125	93.60%	🔒 1	🔒 +0.0%
4	Jessica Hambrook	B	115/125	92.00%	🔒 1	🔒 +0.0%
5	Toby Etheridge	A	114/125	91.20%	🔒 1	🔒 +0.0%
6	Hugh Westminster	A	113/125	90.40%	🔒 1	🔒 +0.0%
7=	Denzil Grose	B	112/125	89.60%	🔒 1	🔒 +0.0%
7=	Henry Lungley	A	112/125	89.60%	🔒 1	🔒 +0.0%
7=	Owen Lewis	B	112/125	89.60%	🔒 1	🔒 +0.0%
7=	Phoebe Bodley-Scott	B	112/125	89.60%	🔒 1	🔒 +0.0%
11=	Charles Worrall	C	111/125	88.80%	🔒 1	🔒 +0.0%
11=	Sophie Herrmann	A	111/125	88.80%	🔒 1	🔒 +0.0%
13	Robert Vincent	B	110/125	88.00%	🔒 1	🔒 +0.0%
14	Luke Young	A	108/125	86.40%	🔒 1	🔒 +0.0%
15=	Harry Reveler	C	107/125	85.60%	🔒 1	🔒 +0.0%
15=	Oliver Cox	B	107/125	85.60%	🔒 1	🔒 +0.0%
17=	Andrew Lea	A	106/125	84.80%	🔒 1	🔒 +0.0%
17=	Katy Essex	C	106/125	84.80%	🔒 1	🔒 +0.0%
19	Joe Clarke	B	101/125	80.80%	🔒 1	🔒 +0.0%
20=	Paul Oldring	C	99/125	79.20%	🔒 1	🔒 +0.0%
20=	Peter Flower	C	99/125	79.20%	🔒 1	🔒 +0.0%
22	Reg Redjeb	C	97/125	77.60%	🔒 1	🔒 +0.0%
23	Mathew Huxtable	C	95/125	76.00%	🔒 1	🔒 +0.0%
24	Gary Duff	D	94/125	75.20%	🔒 1	🔒 +0.0%
25=	Alex Wells	B	93/125	74.40%	🔒 1	🔒 +0.0%
25=	James Biddlecombe	B	93/125	74.40%	🔒 1	🔒 +0.0%
27	Ragan Leivers	C	91/125	72.80%	🔒 1	🔒 +0.0%
28	Robert Fretwell	C	90/125	72.00%	🔒 1	🔒 +0.0%
29	Tom Windhaber	D	83/125	66.40%	🔒 1	🔒 +0.0%
30=	Alison Nicol	D	81/125	64.80%	🔒 1	🔒 +0.0%
30=	Nigel Barnes	C	81/125	64.80%	🔒 1	🔒 +0.0%
32	Richard Bodley-Scott	D	80/125	64.00%	🔒 1	🔒 +0.0%
33	Jon-Paul Huxtable	D	78/125	62.40%	🔒 1	🔒 +0.0%
34	Jedson Herman	D	77/125	61.60%	🔒 1	🔒 +0.0%
35	Kate Peerless	D	76/125	60.80%	🔒 1	🔒 +0.0%
36	Simon Davidmann	C	75/125	60.00%	🔒 1	🔒 +0.0%
37	Richard Cann	D	57/75	76.00%	🔒 1	🔒 +0.0%

Other OSK Events at National Clay Shooting Centre

⚙ Performance Stats DRAG TO MOVE

0.024s ● FAST

DB 48% · Py 36% · Render 16%

12 queries · avg 1.0ms · max 1.7ms

Render Breakdown

DB Logic (Pre-Render) 0.0115s

Python Logic (Pre-Render) 0.0087s

Full Page Render 0.0040s

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 [02:09:33.485] 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 [02:09:33.486] 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 [02:09:33.489] 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 [02:09:33.491] 0.9ms

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 [02:09:33.492] 0.8ms

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 [02:09:33.494] 0.8ms

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 [02:09:33.495] 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 [02:09:33.496] 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 [02:09:33.497] 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 [02:09:33.499] 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 [02:09:33.500] 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 [02:09:33.501] 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 Skeet at National Clay Shooting Centre

Unlock the full event analysis

Historical Trends at National Clay Shooting Centre

Classification Deep Dive

Event Performance Analysis

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?