Back to Events

OSK — Olympic Skeet

Olympic Skeet at National Clay Shooting Centre

National Clay Shooting Centre

Saturday, 10 May 2025 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

81.2%

Field Average

96.8%

Highest Score

56.0%

Lowest Score

Top 3 Overall

🥈

Arran Eccleston

120/125

96.00%

🥇

Phoebe Bodley-Scott

121/125

96.80%

🥉

Luke Young

115/125

92.00%

Event Difficulty

81.2% This Event

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

↑ +5.3% easier than usual

Ground avg: 75.9%

Class Winners

A 6 entered

120/125 — 96.00%

Arran Eccleston

2: Luke Young — 92.00%

B 10 entered

121/125 — 96.80%

Phoebe Bodley-Scott

2=: Alexander Horton — 90.40%

C 14 entered

109/125 — 87.20%

Charles Worrall

2: Harry Reveler — 85.60%

D 7 entered

96/125 — 76.80%

Andrew Woolliscroft

2: Robert Fretwell — 76.00%

Field Shape

81.2%

Field avg

Olympic Skeet at National Clay Shooting Centre had a 40.8 point scoring spread across 37 entries.

Spread 40.8 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%

7 18.9%

80–89%

15 40.5%

70–79%

10 27.0%

60–69%

4 10.8%

50–59%

1 2.7%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

18.9%

7 / 37

80%+

59.5%

22 / 37

70%+

86.5%

32 / 37

60%+

97.3%

36 / 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

83.2-96.0%

78.4-96.8%

67.2-87.2%

56.0-76.8%

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	6	90.0%	96.0%	83.2%	Arran Eccleston
B	10	87.5%	96.8%	78.4%	Phoebe Bodley-Scott
C	14	78.7%	87.2%	67.2%	Charles Worrall
D	7	69.6%	76.8%	56.0%	Andrew Woolliscroft

Class Composition

6 16.2%

10 27.0%

14 37.8%

7 18.9%

Largest class: C — 14 competitors (37.8%)

Full Results — 37 entries

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

Class B

Score 121/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 120/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 115/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 113/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 113/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 113/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 113/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 111/125

vs Class Avg +0.0%

Profile Open →

Class B

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 110/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 109/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 109/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 107/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 106/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 106/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 105/125

vs Class Avg +0.0%

Profile Open →

Class A

Score 104/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 103/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 103/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 102/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 100/125

vs Class Avg +0.0%

Profile Open →

Class B

Score 98/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 98/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 98/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 96/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 96/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 95/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 93/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 92/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 92/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 90/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 86/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 84/125

vs Class Avg +0.0%

Profile Open →

Class C

Score 84/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 70/125

vs Class Avg +0.0%

Profile Open →

Class D

Score 48/75

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Phoebe Bodley-Scott	B	121/125	96.80%	🔒 1	🔒 +0.0%
2	Arran Eccleston	A	120/125	96.00%	🔒 1	🔒 +0.0%
3	Luke Young	A	115/125	92.00%	🔒 1	🔒 +0.0%
4=	Alexander Horton	B	113/125	90.40%	🔒 1	🔒 +0.0%
4=	Andrew Lea	A	113/125	90.40%	🔒 1	🔒 +0.0%
4=	Owen Lewis	B	113/125	90.40%	🔒 1	🔒 +0.0%
4=	Toby Etheridge	A	113/125	90.40%	🔒 1	🔒 +0.0%
8=	Alex Wells	B	111/125	88.80%	🔒 1	🔒 +0.0%
8=	Henry Lungley	B	111/125	88.80%	🔒 1	🔒 +0.0%
10=	Jessica Burgess	B	110/125	88.00%	🔒 1	🔒 +0.0%
10=	Sophie Herrmann	A	110/125	88.00%	🔒 1	🔒 +0.0%
12=	Charles Worrall	C	109/125	87.20%	🔒 1	🔒 +0.0%
12=	Madeleine Boyd	B	109/125	87.20%	🔒 1	🔒 +0.0%
14	Harry Reveler	C	107/125	85.60%	🔒 1	🔒 +0.0%
15=	Oliver Simons	C	106/125	84.80%	🔒 1	🔒 +0.0%
15=	Robert Vincent	B	106/125	84.80%	🔒 1	🔒 +0.0%
17	Katy Essex	C	105/125	84.00%	🔒 1	🔒 +0.0%
18	Emily Hibbs	A	104/125	83.20%	🔒 1	🔒 +0.0%
19=	Shafeeq Viqar Ahmed	C	103/125	82.40%	🔒 1	🔒 +0.0%
19=	Sophie Langton	C	103/125	82.40%	🔒 1	🔒 +0.0%
21	Desmond Davies	B	102/125	81.60%	🔒 1	🔒 +0.0%
22	Frank Miller	C	100/125	80.00%	🔒 1	🔒 +0.0%
23=	Mackenzie Kempton	B	98/125	78.40%	🔒 1	🔒 +0.0%
23=	Peter Flower	C	98/125	78.40%	🔒 1	🔒 +0.0%
23=	Reg Redjeb	C	98/125	78.40%	🔒 1	🔒 +0.0%
26=	Andrew Woolliscroft	D	96/125	76.80%	🔒 1	🔒 +0.0%
26=	Tom Windhaber	C	96/125	76.80%	🔒 1	🔒 +0.0%
28	Robert Fretwell	D	95/125	76.00%	🔒 1	🔒 +0.0%
29	Philip Musson	C	93/125	74.40%	🔒 1	🔒 +0.0%
30=	Richard Cann	D	92/125	73.60%	🔒 1	🔒 +0.0%
30=	Simon Davidmann	C	92/125	73.60%	🔒 1	🔒 +0.0%
32	Richard Bodley-Scott	D	90/125	72.00%	🔒 1	🔒 +0.0%
33	Andrew Hitchmough	D	86/125	68.80%	🔒 1	🔒 +0.0%
34=	Nigel Barnes	C	84/125	67.20%	🔒 1	🔒 +0.0%
34=	Terry Griffiths	C	84/125	67.20%	🔒 1	🔒 +0.0%
36	Alison Nicol	D	70/125	56.00%	🔒 1	🔒 +0.0%
37	Neil Orr	D	48/75	64.00%	🔒 1	🔒 +0.0%

Other OSK Events at National Clay Shooting Centre

⚙ Performance Stats DRAG TO MOVE

0.029s ● FAST

DB 42% · Py 43% · Render 14%

12 queries · avg 1.0ms · max 1.7ms

Render Breakdown

Python Logic (Pre-Render) 0.0126s

DB Logic (Pre-Render) 0.0123s

Full Page Render 0.0042s

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 [04:24:43.785] 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 [04:24:43.787] 1.3ms

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 [04:24:43.791] 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 [04:24:43.793] 1.0ms

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 [04:24:43.795] 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 [04:24:43.797] 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 [04:24:43.798] 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 [04:24:43.799] 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 [04:24:43.801] 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 [04:24:43.802] 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 [04:24:43.804] 1.0ms

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 [04:24:43.805] 0.9ms

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?