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Last Updated: 24 Mar 2026, 17:32

OTR — Olympic Trap

Olympic Trap at Fauxdegla Shooting Ground

Fauxdegla Shooting Ground

Saturday, 14 June 2025 · CPSA Results →

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Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

76.6%

Field Average

90.0%

Highest Score

66.0%

Lowest Score

Top 3 Overall

🥈

Kevin •••••

42/50

84.00%

🥇

Shirley •••••

45/50

90.00%

🥉

Peter •••••

41/50

82.00%

Event Difficulty

76.6% This Event

vs. Fauxdegla Shooting Ground historical average (Olympic Trap)

↑ +0.7% easier than usual

Ground avg: 75.9%

Class Winners

C 3 entered

42/50 — 84.00%

Kevin •••••

2: Peter ••••• — 82.00%

D 4 entered

45/50 — 90.00%

Shirley •••••

2: Paul ••••• — 74.00%

Field Shape

76.6%

Field avg

Olympic Trap at Fauxdegla Shooting Ground had a 24.0 point scoring spread across 7 entries.

Spread 24.0 pts

Front 90.0%

Largest class D

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

Score Distribution

90–100%

1 14.3%

80–89%

2 28.6%

70–79%

2 28.6%

60–69%

2 28.6%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

14.3%

1 / 7

80%+

42.9%

3 / 7

70%+

71.4%

5 / 7

60%+

100.0%

7 / 7

50%+

100.0%

7 / 7

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 Fauxdegla Shooting Ground

Olympic Trap performance across events held at this ground.

Last 12 months

Overall Average Trend

Classification Trend Comparison

Classification Deep Dive

2 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)—

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

68.0-84.0%

66.0-90.0%

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: 90.0%. 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
C	3	78.0%	84.0%	68.0%	Kevin •••••
D	4	75.5%	90.0%	66.0%	Shirley •••••

Class Composition

3 42.9%

4 57.1%

Largest class: D — 4 competitors (57.1%)

Full Results — 7 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 D

Score 45/50

Class placing 1

Class average 75.5%

vs Class Avg +0.0%

Profile Open →

Class C

Score 42/50

Class placing 1

Class average 78.0%

vs Class Avg +0.0%

Profile Open →

Class C

Score 41/50

Class placing 1

Class average 78.0%

vs Class Avg +0.0%

Profile Open →

Class D

Score 37/50

Class placing 1

Class average 75.5%

vs Class Avg +0.0%

Profile Open →

Class D

Score 36/50

Class placing 1

Class average 75.5%

vs Class Avg +0.0%

Profile Open →

Class C

Score 34/50

Class placing 1

Class average 78.0%

vs Class Avg +0.0%

Profile Open →

Class D

Score 33/50

Class placing 1

Class average 75.5%

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	Class Avg	vs Class Avg
1	Shirley •••••	D	45/50	90.00%	🔒 1	75.50%	🔒 +0.0%
2	Kevin •••••	C	42/50	84.00%	🔒 1	78.00%	🔒 +0.0%
3	Peter •••••	C	41/50	82.00%	🔒 1	78.00%	🔒 +0.0%
4	Paul •••••	D	37/50	74.00%	🔒 1	75.50%	🔒 +0.0%
5	Mr •••••	D	36/50	72.00%	🔒 1	75.50%	🔒 +0.0%
6	Ian •••••	C	34/50	68.00%	🔒 1	78.00%	🔒 +0.0%
7	Michael •••••	D	33/50	66.00%	🔒 1	75.50%	🔒 +0.0%

Other OTR Events at Fauxdegla Shooting Ground

⚙ Performance Stats DRAG TO MOVE

0.031s ● FAST

DB 57% · Py 32% · Render 11%

12 queries · avg 1.4ms · max 2.3ms

Render Breakdown

DB Logic (Pre-Render) 0.0174s

Python Logic (Pre-Render) 0.0100s

Full Page Render 0.0034s

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 [00:25:25.462] 2.3ms

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 [00:25:25.464] 1.9ms

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 [00:25:25.468] 1.9ms

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 [00:25:25.470] 1.5ms

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 [00:25:25.472] 1.2ms

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 [00:25:25.474] 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 [00:25:25.475] 1.3ms

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 [00:25:25.477] 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…

#9 [00:25:25.479] 1.3ms

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 [00:25:25.481] 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 [00:25:25.483] 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 IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [00:25:25.484] 1.2ms

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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Historical Trends at Fauxdegla Shooting Ground

Classification Deep Dive

Event Performance Analysis

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