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ESK — English Skeet

English Skeet at Brook Bank

Brook Bank

Sunday, 02 November 2025 · CPSA Results →

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Event Rating

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Entries

86.9%

Field Average

98.0%

Highest Score

69.0%

Lowest Score

Top 3 Overall

🥉

Peter Mylam

97/100

97.00%

🥇 =1

Bill Moussalli

Liam Richings

98/100

98.00%

Event Difficulty

86.9% This Event

vs. Brook Bank historical average (English Skeet)

↓ -2.7% harder than usual

Ground avg: 89.6%

Class Winners

AA 4 entered

98/100 — 98.00%

Bill Moussalli(tied) Liam Richings(tied)

3: Peter Mylam — 97.00%

A 10 entered

96/100 — 96.00%

Chris Tudor

2: Martin Howe — 94.00%

B 20 entered

94/100 — 94.00%

Ian Stephenson(tied) Jon Stephens(tied) Stuart Dawson(tied)

4: Jessica Milnes — 92.00%

C 8 entered

88/100 — 88.00%

Brian Richings

2: Charlie Cotton — 86.00%

Field Shape

86.9%

Field avg

English Skeet at Brook Bank had a 29.0 point scoring spread across 42 entries.

Spread 29.0 pts

Front 98.0%

Largest class B

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

Score Distribution

90–100%

18 42.9%

80–89%

16 38.1%

70–79%

7 16.7%

60–69%

1 2.4%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

42.9%

18 / 42

80%+

81.0%

34 / 42

70%+

97.6%

41 / 42

60%+

100.0%

42 / 42

50%+

100.0%

42 / 42

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Historical Trends at Brook Bank

English Skeet 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

95.0-98.0%

82.0-96.0%

77.0-94.0%

69.0-88.0%

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: 98.0%. 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
AA	4	97.0%	98.0%	95.0%	Bill Moussalli
A	10	89.9%	96.0%	82.0%	Chris Tudor
B	20	87.2%	94.0%	77.0%	Ian Stephenson
C	8	77.4%	88.0%	69.0%	Brian Richings

Class Composition

4 9.5%

10 23.8%

20 47.6%

8 19.0%

Largest class: B — 20 competitors (47.6%)

Full Results — 42 entries

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

Class AA

Score 98/100

vs Class Avg +0.0%

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Class AA

Score 98/100

vs Class Avg +0.0%

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Class AA

Score 97/100

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Class A

Score 96/100

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Class AA

Score 95/100

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Class B

Score 94/100

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Class B

Score 94/100

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Class A

Score 94/100

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Class B

Score 94/100

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Class A

Score 93/100

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Class A

Score 92/100

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Class B

Score 92/100

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Class B

Score 91/100

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Class A

Score 91/100

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Class A

Score 90/100

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Class B

Score 90/100

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Class B

Score 90/100

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Class B

Score 90/100

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Class B

Score 88/100

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Class C

Score 88/100

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Class A

Score 88/100

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Class B

Score 88/100

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Class B

Score 87/100

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Class A

Score 87/100

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Class B

Score 87/100

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Class C

Score 86/100

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Class A

Score 86/100

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Class B

Score 86/100

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Class B

Score 86/100

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Class C

Score 85/100

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Class B

Score 85/100

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Class B

Score 84/100

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Class B

Score 82/100

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Class A

Score 82/100

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Class B

Score 79/100

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Class B

Score 79/100

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Class C

Score 77/100

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Class B

Score 77/100

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Class C

Score 73/100

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Class C

Score 71/100

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Class C

Score 70/100

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Class C

Score 69/100

vs Class Avg +0.0%

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	Bill Moussalli	AA	98/100	98.00%	🔒 1	🔒 +0.0%
1=	Liam Richings	AA	98/100	98.00%	🔒 1	🔒 +0.0%
3	Peter Mylam	AA	97/100	97.00%	🔒 1	🔒 +0.0%
4	Chris Tudor	A	96/100	96.00%	🔒 1	🔒 +0.0%
5	Stephen Eldridge	AA	95/100	95.00%	🔒 1	🔒 +0.0%
6=	Ian Stephenson	B	94/100	94.00%	🔒 1	🔒 +0.0%
6=	Jon Stephens	B	94/100	94.00%	🔒 1	🔒 +0.0%
6=	Martin Howe	A	94/100	94.00%	🔒 1	🔒 +0.0%
6=	Stuart Dawson	B	94/100	94.00%	🔒 1	🔒 +0.0%
10	Michael Phypers	A	93/100	93.00%	🔒 1	🔒 +0.0%
11=	David Tugwell	A	92/100	92.00%	🔒 1	🔒 +0.0%
11=	Jessica Milnes	B	92/100	92.00%	🔒 1	🔒 +0.0%
13=	Anthony Ellis	B	91/100	91.00%	🔒 1	🔒 +0.0%
13=	Brian Wogan	A	91/100	91.00%	🔒 1	🔒 +0.0%
15=	Keith Chapple	A	90/100	90.00%	🔒 1	🔒 +0.0%
15=	Martin Knapman	B	90/100	90.00%	🔒 1	🔒 +0.0%
15=	Paul Martin	B	90/100	90.00%	🔒 1	🔒 +0.0%
15=	Tim James	B	90/100	90.00%	🔒 1	🔒 +0.0%
19=	Andy Bryne	B	88/100	88.00%	🔒 1	🔒 +0.0%
19=	Brian Richings	C	88/100	88.00%	🔒 1	🔒 +0.0%
19=	David Howe	A	88/100	88.00%	🔒 1	🔒 +0.0%
19=	Emily Morden-Hawke	B	88/100	88.00%	🔒 1	🔒 +0.0%
23=	Michael Hodgins	B	87/100	87.00%	🔒 1	🔒 +0.0%
23=	Robin Windhaber	A	87/100	87.00%	🔒 1	🔒 +0.0%
23=	Tom Windhaber	B	87/100	87.00%	🔒 1	🔒 +0.0%
26=	Charlie Cotton	C	86/100	86.00%	🔒 1	🔒 +0.0%
26=	Colin Jago	A	86/100	86.00%	🔒 1	🔒 +0.0%
26=	Jo Knapman	B	86/100	86.00%	🔒 1	🔒 +0.0%
26=	John Dowse	B	86/100	86.00%	🔒 1	🔒 +0.0%
30=	Justine Howe	C	85/100	85.00%	🔒 1	🔒 +0.0%
30=	Richard Tugwell	B	85/100	85.00%	🔒 1	🔒 +0.0%
32	Reuben Box	B	84/100	84.00%	🔒 1	🔒 +0.0%
33=	Kevin Vincent	B	82/100	82.00%	🔒 1	🔒 +0.0%
33=	Wilfred Curtis	A	82/100	82.00%	🔒 1	🔒 +0.0%
35=	Jonathan Belcher	B	79/100	79.00%	🔒 1	🔒 +0.0%
35=	Paul Westaway	B	79/100	79.00%	🔒 1	🔒 +0.0%
37=	John Rutherford	C	77/100	77.00%	🔒 1	🔒 +0.0%
37=	Terry Venn-Adams	B	77/100	77.00%	🔒 1	🔒 +0.0%
39	Wendy Allen	C	73/100	73.00%	🔒 1	🔒 +0.0%
40	Lynn Austin	C	71/100	71.00%	🔒 1	🔒 +0.0%
41	Alison Morden-Hawke	C	70/100	70.00%	🔒 1	🔒 +0.0%
42	Valerie James	C	69/100	69.00%	🔒 1	🔒 +0.0%

Other ESK Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.031s ● FAST

DB 42% · Py 40% · Render 18%

12 queries · avg 1.1ms · max 1.8ms

Render Breakdown

DB Logic (Pre-Render) 0.0127s

Python Logic (Pre-Render) 0.0123s

Full Page Render 0.0056s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

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 [00:19:32.703] 1.8ms

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 [00:19:32.706] 1.4ms

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 [00:19:32.710] 1.5ms

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 [00:19:32.712] 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 [00:19:32.713] 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 [00:19:32.715] 1.0ms

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 [00:19:32.716] 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 [00:19:32.718] 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 [00:19:32.719] 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 [00:19:32.720] 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 [00:19:32.722] 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 [00:19:32.723] 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

English Skeet at Brook Bank

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Historical Trends at Brook Bank

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