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OTR — Olympic Trap

Olympic Trap at Fauxdegla Shooting Ground

Fauxdegla Shooting Ground

Saturday, 07 June 2025 · CPSA Results →

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Event Rating

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Entries

83.0%

Field Average

96.8%

Highest Score

66.4%

Lowest Score

Top 3 Overall

🥈 =2

Mathew Paley

Matthew Coward-Holley

Michael Wixey

119/125

95.20%

🥇

Andrew Greenwood

121/125

96.80%

Event Difficulty

83.0% This Event

vs. Fauxdegla Shooting Ground historical average (Olympic Trap)

↑ +7.6% easier than usual

Ground avg: 75.4%

Class Winners

A 15 entered

121/125 — 96.80%

Andrew Greenwood

2=: Mathew Paley — 95.20%

B 23 entered

117/125 — 93.60%

Mackenzie Vandertuin

2: Andrew Greenstock — 90.40%

C 11 entered

106/125 — 84.80%

Oliver Austin(tied) Stuart Turner(tied) William Maclennan(tied)

4: James Ward — 84.00%

D 12 entered

99/125 — 79.20%

Ian Cunliffe

2: Holly Maddams — 78.40%

Other 1 entered

117/125 — 93.60%

Wayne Byrne

Field Shape

83.0%

Field avg

Olympic Trap at Fauxdegla Shooting Ground had a 30.4 point scoring spread across 62 entries.

Spread 30.4 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%

15 24.2%

80–89%

26 41.9%

70–79%

18 29.0%

60–69%

3 4.8%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

24.2%

15 / 62

80%+

66.1%

41 / 62

70%+

95.2%

59 / 62

60%+

100.0%

62 / 62

50%+

100.0%

62 / 62

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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 Fauxdegla Shooting Ground

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

86.4-96.8%

71.2-93.6%

75.2-84.8%

66.4-79.2%

Other

93.6-93.6%

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	15	92.1%	96.8%	86.4%	Andrew Greenwood
B	23	83.2%	93.6%	71.2%	Mackenzie Vandertuin
C	11	81.0%	84.8%	75.2%	Oliver Austin
D	12	72.2%	79.2%	66.4%	Ian Cunliffe
Other	1	93.6%	93.6%	93.6%	Wayne Byrne

Class Composition

15 24.2%

23 37.1%

11 17.7%

12 19.4%

Other

1 1.6%

Largest class: B — 23 competitors (37.1%)

Full Results — 62 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%

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Class A

Score 119/125

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Class A

Score 119/125

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Class A

Score 119/125

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Class A

Score 117/125

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Class B

Score 117/125

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Class Unknown

Score 117/125

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Class A

Score 116/125

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Class A

Score 115/125

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Class A

Score 115/125

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Class A

Score 114/125

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Class A

Score 114/125

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Class A

Score 114/125

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Class B

Score 113/125

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Class A

Score 113/125

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Class A

Score 112/125

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Class A

Score 110/125

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Class B

Score 110/125

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Class B

Score 110/125

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Class B

Score 110/125

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Class B

Score 109/125

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Class B

Score 109/125

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Class B

Score 108/125

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Class A

Score 108/125

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Class B

Score 107/125

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Class B

Score 107/125

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Class B

Score 106/125

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Class C

Score 106/125

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Class C

Score 106/125

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Class C

Score 106/125

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Class C

Score 105/125

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Class B

Score 105/125

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Class B

Score 104/125

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Class C

Score 104/125

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Class C

Score 102/125

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Class B

Score 101/125

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Class B

Score 101/125

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Class B

Score 101/125

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Class B

Score 100/125

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Class C

Score 100/125

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Class B

Score 99/125

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Class D

Score 99/125

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Class C

Score 99/125

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Class D

Score 98/125

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Class B

Score 97/125

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Class B

Score 96/125

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Class C

Score 96/125

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Class C

Score 96/125

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Class C

Score 94/125

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Class D

Score 93/125

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Class D

Score 92/125

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Class B

Score 91/125

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Class D

Score 91/125

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Class D

Score 91/125

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Class B

Score 89/125

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Class D

Score 89/125

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Class D

Score 88/125

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Class D

Score 88/125

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Class D

Score 87/125

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Class D

Score 84/125

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Class D

Score 83/125

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Class B

Score 62/75

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Andrew Greenwood	A	121/125	96.80%	🔒 1	🔒 +0.0%
2=	Mathew Paley	A	119/125	95.20%	🔒 1	🔒 +0.0%
2=	Matthew Coward-Holley	A	119/125	95.20%	🔒 1	🔒 +0.0%
2=	Michael Wixey	A	119/125	95.20%	🔒 1	🔒 +0.0%
5=	David Kirk	A	117/125	93.60%	🔒 1	🔒 +0.0%
5=	Mackenzie Vandertuin	B	117/125	93.60%	🔒 1	🔒 +0.0%
5=	Wayne Byrne	Unknown	117/125	93.60%	🔒 1	🔒 +0.0%
8	Nathan Hales	A	116/125	92.80%	🔒 1	🔒 +0.0%
9=	Adam Gutteridge	A	115/125	92.00%	🔒 1	🔒 +0.0%
9=	Matthew Panter	A	115/125	92.00%	🔒 1	🔒 +0.0%
11=	Charlotte Kerwood	A	114/125	91.20%	🔒 1	🔒 +0.0%
11=	Lucy Hall	A	114/125	91.20%	🔒 1	🔒 +0.0%
11=	Mark Shaw	A	114/125	91.20%	🔒 1	🔒 +0.0%
14=	Andrew Greenstock	B	113/125	90.40%	🔒 1	🔒 +0.0%
14=	James Dedman	A	113/125	90.40%	🔒 1	🔒 +0.0%
16	Lucas Hyde	A	112/125	89.60%	🔒 1	🔒 +0.0%
17=	Abbey Ling	A	110/125	88.00%	🔒 1	🔒 +0.0%
17=	Leah Southall	B	110/125	88.00%	🔒 1	🔒 +0.0%
17=	Lewis Kirk	B	110/125	88.00%	🔒 1	🔒 +0.0%
17=	Michael Faux	B	110/125	88.00%	🔒 1	🔒 +0.0%
21=	Anthony Paley	B	109/125	87.20%	🔒 1	🔒 +0.0%
21=	Paul Jenkins	B	109/125	87.20%	🔒 1	🔒 +0.0%
23=	Howard Beaumont	B	108/125	86.40%	🔒 1	🔒 +0.0%
23=	Thomas Burns	A	108/125	86.40%	🔒 1	🔒 +0.0%
25=	Graham Evans	B	107/125	85.60%	🔒 1	🔒 +0.0%
25=	Philip Sanders	B	107/125	85.60%	🔒 1	🔒 +0.0%
27=	David O'Donnell	B	106/125	84.80%	🔒 1	🔒 +0.0%
27=	Oliver Austin	C	106/125	84.80%	🔒 1	🔒 +0.0%
27=	Stuart Turner	C	106/125	84.80%	🔒 1	🔒 +0.0%
27=	William Maclennan	C	106/125	84.80%	🔒 1	🔒 +0.0%
31=	James Ward	C	105/125	84.00%	🔒 1	🔒 +0.0%
31=	Joe Turner	B	105/125	84.00%	🔒 1	🔒 +0.0%
33=	Harry Poolman	B	104/125	83.20%	🔒 1	🔒 +0.0%
33=	Simon Taylor	C	104/125	83.20%	🔒 1	🔒 +0.0%
35	Elise Dixon	C	102/125	81.60%	🔒 1	🔒 +0.0%
36=	Joseph Robbins	B	101/125	80.80%	🔒 1	🔒 +0.0%
36=	Paul Culverwell	B	101/125	80.80%	🔒 1	🔒 +0.0%
36=	Tim Smith	B	101/125	80.80%	🔒 1	🔒 +0.0%
39=	Jay Pope	B	100/125	80.00%	🔒 1	🔒 +0.0%
39=	Rhys Dixon	C	100/125	80.00%	🔒 1	🔒 +0.0%
41=	Hollie Lumsden	B	99/125	79.20%	🔒 1	🔒 +0.0%
41=	Ian Cunliffe	D	99/125	79.20%	🔒 1	🔒 +0.0%
41=	Kevin O'Reilly	C	99/125	79.20%	🔒 1	🔒 +0.0%
44	Holly Maddams	D	98/125	78.40%	🔒 1	🔒 +0.0%
45	Liam Crabb	B	97/125	77.60%	🔒 1	🔒 +0.0%
46=	Andrew Pownall	B	96/125	76.80%	🔒 1	🔒 +0.0%
46=	James Farrell	C	96/125	76.80%	🔒 1	🔒 +0.0%
46=	Pauric Greenan	C	96/125	76.80%	🔒 1	🔒 +0.0%
49	Frank Chetcuti	C	94/125	75.20%	🔒 1	🔒 +0.0%
50	Mr JA Parker	D	93/125	74.40%	🔒 1	🔒 +0.0%
51	Gareth Roberts	D	92/125	73.60%	🔒 1	🔒 +0.0%
52=	Charlie Morris	B	91/125	72.80%	🔒 1	🔒 +0.0%
52=	Jim Rogers	D	91/125	72.80%	🔒 1	🔒 +0.0%
52=	Richard Baybutt	D	91/125	72.80%	🔒 1	🔒 +0.0%
55=	Paul Bailey	B	89/125	71.20%	🔒 1	🔒 +0.0%
55=	Paul Collins	D	89/125	71.20%	🔒 1	🔒 +0.0%
57=	Astrid Brocklehurst-Flynn	D	88/125	70.40%	🔒 1	🔒 +0.0%
57=	Hazel Denney-Cunliffe	D	88/125	70.40%	🔒 1	🔒 +0.0%
59	Philippa Stroud	D	87/125	69.60%	🔒 1	🔒 +0.0%
60	Abbie Coutanche	D	84/125	67.20%	🔒 1	🔒 +0.0%
61	Shirley Pope	D	83/125	66.40%	🔒 1	🔒 +0.0%
62	John Lucy	B	62/75	82.67%	🔒 1	🔒 +0.0%

Other OTR Events at Fauxdegla Shooting Ground

⚙ Performance Stats DRAG TO MOVE

0.069s ● FAST

DB 70% · Py 19% · Render 10%

12 queries · avg 4.1ms · max 37.9ms

Render Breakdown

DB Logic (Pre-Render) 0.0487s

Python Logic (Pre-Render) 0.0131s

Full Page Render 0.0072s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

shoot_event 2× 0.003s

shoot_score 2× 0.039s

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 [02:09:55.479] 1.6ms

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 [02:09:55.481] 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 [02:09:55.522] 37.9ms

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 [02:09:55.524] 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 [02:09:55.526] 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 [02:09:55.528] 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 [02:09:55.529] 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 [02:09:55.531] 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 [02:09:55.532] 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 [02:09:55.534] 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 [02:09:55.535] 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 [02:09:55.536] 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 Fauxdegla Shooting Ground

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