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UTR — Universal Trench

Universal Trench at Fauxdegla Shooting Ground

Fauxdegla Shooting Ground

Saturday, 16 May 2026 · CPSA Results →

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Event Rating

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Entries

80.7%

Field Average

93.5%

Highest Score

56.5%

Lowest Score

Top 3 Overall

🥈 =2

David Kirk

Matthew Panter

185/200

92.50%

🥇

Andrew Greenwood

187/200

93.50%

Event Difficulty

80.7% This Event

vs. Fauxdegla Shooting Ground historical average (Universal Trench)

↑ +1.2% easier than usual

Ground avg: 79.5%

Class Winners

A 16 entered

187/200 — 93.50%

Andrew Greenwood

2=: David Kirk — 92.50%

B 23 entered

182/200 — 91.00%

Ted Philipson

2: Nicholas Harris — 90.00%

C 21 entered

173/200 — 86.50%

Alexander Williams

2: Clive Rowe — 85.00%

D 6 entered

163/200 — 81.50%

Peter Parker

2: Ian Sully — 75.00%

Field Shape

80.7%

Field avg

Universal Trench at Fauxdegla Shooting Ground had a 37.0 point scoring spread across 66 entries.

Spread 37.0 pts

Front 93.5%

Largest class B

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

Score Distribution

90–100%

8 12.1%

80–89%

34 51.5%

70–79%

17 25.8%

60–69%

5 7.6%

50–59%

2 3.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

12.1%

8 / 66

80%+

63.6%

42 / 66

70%+

89.4%

59 / 66

60%+

97.0%

64 / 66

50%+

100.0%

66 / 66

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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

Universal Trench 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

80.0-93.5%

60.5-91.0%

56.5-86.5%

57.5-81.5%

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: 93.5%. 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	16	88.2%	93.5%	80.0%	Andrew Greenwood
B	23	82.1%	91.0%	60.5%	Ted Philipson
C	21	77.1%	86.5%	56.5%	Alexander Williams
D	6	67.1%	81.5%	57.5%	Peter Parker

Class Composition

16 24.2%

23 34.8%

21 31.8%

6 9.1%

Largest class: B — 23 competitors (34.8%)

Full Results — 66 entries

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

Class A

Score 187/200

vs Class Avg +0.0%

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Class A

Score 185/200

vs Class Avg +0.0%

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Class A

Score 185/200

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Class A

Score 184/200

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Class A

Score 184/200

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Class A

Score 182/200

vs Class Avg +0.0%

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Class B

Score 182/200

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Class B

Score 180/200

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Class B

Score 179/200

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Class B

Score 178/200

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Class A

Score 177/200

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Class A

Score 177/200

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Class A

Score 175/200

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Class A

Score 175/200

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Class A

Score 174/200

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Class B

Score 174/200

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Class B

Score 174/200

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Class A

Score 173/200

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Class C

Score 173/200

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Class A

Score 170/200

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Class C

Score 170/200

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Class A

Score 170/200

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Class B

Score 169/200

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Class B

Score 167/200

vs Class Avg +0.0%

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Class B

Score 167/200

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Class B

Score 167/200

vs Class Avg +0.0%

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Class C

Score 166/200

vs Class Avg +0.0%

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Class C

Score 166/200

vs Class Avg +0.0%

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Class A

Score 166/200

vs Class Avg +0.0%

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Class B

Score 165/200

vs Class Avg +0.0%

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Class B

Score 165/200

vs Class Avg +0.0%

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Class B

Score 165/200

vs Class Avg +0.0%

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Class C

Score 164/200

vs Class Avg +0.0%

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Class C

Score 163/200

vs Class Avg +0.0%

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Class B

Score 163/200

vs Class Avg +0.0%

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Class B

Score 163/200

vs Class Avg +0.0%

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Class D

Score 163/200

vs Class Avg +0.0%

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Class C

Score 162/200

vs Class Avg +0.0%

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Class B

Score 162/200

vs Class Avg +0.0%

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Class A

Score 160/200

vs Class Avg +0.0%

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Class B

Score 160/200

vs Class Avg +0.0%

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Class B

Score 159/200

vs Class Avg +0.0%

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Class C

Score 158/200

vs Class Avg +0.0%

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Class B

Score 158/200

vs Class Avg +0.0%

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Class B

Score 157/200

vs Class Avg +0.0%

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Class B

Score 156/200

vs Class Avg +0.0%

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Class C

Score 155/200

vs Class Avg +0.0%

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Class C

Score 155/200

vs Class Avg +0.0%

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Class C

Score 154/200

vs Class Avg +0.0%

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Class C

Score 154/200

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Class C

Score 151/200

vs Class Avg +0.0%

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Class C

Score 150/200

vs Class Avg +0.0%

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Class D

Score 150/200

vs Class Avg +0.0%

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Class C

Score 149/200

vs Class Avg +0.0%

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Class C

Score 147/200

vs Class Avg +0.0%

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Class B

Score 146/200

vs Class Avg +0.0%

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Class C

Score 145/200

vs Class Avg +0.0%

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Class C

Score 143/200

vs Class Avg +0.0%

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Class C

Score 136/200

vs Class Avg +0.0%

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Class D

Score 126/200

vs Class Avg +0.0%

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Class D

Score 126/200

vs Class Avg +0.0%

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Class D

Score 125/200

vs Class Avg +0.0%

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Class B

Score 121/200

vs Class Avg +0.0%

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Class D

Score 115/200

vs Class Avg +0.0%

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Class C

Score 113/200

vs Class Avg +0.0%

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Class C

Score 83/100

vs Class Avg +0.0%

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Andrew Greenwood	A	187/200	93.50%	🔒 1	🔒 +0.0%
2=	David Kirk	A	185/200	92.50%	🔒 1	🔒 +0.0%
2=	Matthew Panter	A	185/200	92.50%	🔒 1	🔒 +0.0%
4=	Adam Gutteridge	A	184/200	92.00%	🔒 1	🔒 +0.0%
4=	Jo Smith	A	184/200	92.00%	🔒 1	🔒 +0.0%
6=	Oliver Sampson	A	182/200	91.00%	🔒 1	🔒 +0.0%
6=	Ted Philipson	B	182/200	91.00%	🔒 1	🔒 +0.0%
8	Nicholas Harris	B	180/200	90.00%	🔒 1	🔒 +0.0%
9	Lewis Kirk	B	179/200	89.50%	🔒 1	🔒 +0.0%
10	Lucas Hyde	B	178/200	89.00%	🔒 1	🔒 +0.0%
11=	Michael Wensley	A	177/200	88.50%	🔒 1	🔒 +0.0%
11=	Robert Bright	A	177/200	88.50%	🔒 1	🔒 +0.0%
13=	Ian Woodhead	A	175/200	87.50%	🔒 1	🔒 +0.0%
13=	Kevin Borley	A	175/200	87.50%	🔒 1	🔒 +0.0%
15=	Carl Burrow	A	174/200	87.00%	🔒 1	🔒 +0.0%
15=	Kath Bright	B	174/200	87.00%	🔒 1	🔒 +0.0%
15=	Paul Atkinson	B	174/200	87.00%	🔒 1	🔒 +0.0%
18=	Abbey Ling	A	173/200	86.50%	🔒 1	🔒 +0.0%
18=	Alexander Williams	C	173/200	86.50%	🔒 1	🔒 +0.0%
20=	Andrew Dunne	A	170/200	85.00%	🔒 1	🔒 +0.0%
20=	Clive Rowe	C	170/200	85.00%	🔒 1	🔒 +0.0%
20=	Ray Sutton	A	170/200	85.00%	🔒 1	🔒 +0.0%
23	Mark Wright	B	169/200	84.50%	🔒 1	🔒 +0.0%
24=	Chris Tate	B	167/200	83.50%	🔒 1	🔒 +0.0%
24=	Christopher Dean	B	167/200	83.50%	🔒 1	🔒 +0.0%
24=	Graham Evans	B	167/200	83.50%	🔒 1	🔒 +0.0%
27=	Andrew Dearman	C	166/200	83.00%	🔒 1	🔒 +0.0%
27=	Phil Rowley	C	166/200	83.00%	🔒 1	🔒 +0.0%
27=	Tim Smith	A	166/200	83.00%	🔒 1	🔒 +0.0%
30=	Emyr Davies	B	165/200	82.50%	🔒 1	🔒 +0.0%
30=	James Ward	B	165/200	82.50%	🔒 1	🔒 +0.0%
30=	Matthew Rowland	B	165/200	82.50%	🔒 1	🔒 +0.0%
33	John Stephenson	C	164/200	82.00%	🔒 1	🔒 +0.0%
34=	Benjamin Hibbert	C	163/200	81.50%	🔒 1	🔒 +0.0%
34=	David O'Donnell	B	163/200	81.50%	🔒 1	🔒 +0.0%
34=	Howard Beaumont	B	163/200	81.50%	🔒 1	🔒 +0.0%
34=	Peter Parker	D	163/200	81.50%	🔒 1	🔒 +0.0%
38=	Ian Shaw	C	162/200	81.00%	🔒 1	🔒 +0.0%
38=	Neil Leeming	B	162/200	81.00%	🔒 1	🔒 +0.0%
40=	David Hardy	A	160/200	80.00%	🔒 1	🔒 +0.0%
40=	John Reilly	B	160/200	80.00%	🔒 1	🔒 +0.0%
42	Robert Dalzell	B	159/200	79.50%	🔒 1	🔒 +0.0%
43=	James Farrell	C	158/200	79.00%	🔒 1	🔒 +0.0%
43=	Stefan Roberts	B	158/200	79.00%	🔒 1	🔒 +0.0%
45	Howard Batt	B	157/200	78.50%	🔒 1	🔒 +0.0%
46	Nicholas Dewe	B	156/200	78.00%	🔒 1	🔒 +0.0%
47=	Graham Carter	C	155/200	77.50%	🔒 1	🔒 +0.0%
47=	Michael Faux	C	155/200	77.50%	🔒 1	🔒 +0.0%
49=	Christopher McReynolds	C	154/200	77.00%	🔒 1	🔒 +0.0%
49=	Michael Barker	C	154/200	77.00%	🔒 1	🔒 +0.0%
51	Julian Fairburn	C	151/200	75.50%	🔒 1	🔒 +0.0%
52=	Chris Bushell	C	150/200	75.00%	🔒 1	🔒 +0.0%
52=	Ian Sully	D	150/200	75.00%	🔒 1	🔒 +0.0%
54	Rhys Dixon	C	149/200	74.50%	🔒 1	🔒 +0.0%
55	Elise Dixon	C	147/200	73.50%	🔒 1	🔒 +0.0%
56	Katie Cowell	B	146/200	73.00%	🔒 1	🔒 +0.0%
57	Mark Baker	C	145/200	72.50%	🔒 1	🔒 +0.0%
58	Stephen Parker	C	143/200	71.50%	🔒 1	🔒 +0.0%
59	Sue Bate	C	136/200	68.00%	🔒 1	🔒 +0.0%
60=	Anne Phillips	D	126/200	63.00%	🔒 1	🔒 +0.0%
60=	Richard Baybutt	D	126/200	63.00%	🔒 1	🔒 +0.0%
62	Michael Feather	D	125/200	62.50%	🔒 1	🔒 +0.0%
63	Fletcher Watson	B	121/200	60.50%	🔒 1	🔒 +0.0%
64	Geoff Darke	D	115/200	57.50%	🔒 1	🔒 +0.0%
65	Robert Gallagher	C	113/200	56.50%	🔒 1	🔒 +0.0%
66	Wayne Clifton	C	83/100	83.00%	🔒 1	🔒 +0.0%

Other UTR Events at Fauxdegla Shooting Ground

⚙ Performance Stats DRAG TO MOVE

0.029s ● FAST

DB 41% · Py 40% · Render 19%

12 queries · avg 1.0ms · max 1.6ms

Render Breakdown

DB Logic (Pre-Render) 0.0120s

Python Logic (Pre-Render) 0.0116s

Full Page Render 0.0057s

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 [00:33:05.556] 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 [00:33:05.558] 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 [00:33:05.562] 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 [00:33:05.564] 1.1ms

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 [00:33:05.565] 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 [00:33:05.567] 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 [00:33:05.568] 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 [00:33:05.570] 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 [00:33:05.571] 0.9ms

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 [00:33:05.573] 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 [00:33:05.574] 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 [00:33:05.575] 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

Universal Trench at Fauxdegla Shooting Ground

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