Back to Events

ESP — English Sporting

English Sporting at North Of England C.T.C

North Of England C.T.C

Sunday, 23 August 2026 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

78.3%

Field Average

97.0%

Highest Score

43.0%

Lowest Score

Top 3 Overall

🥈

John Frankland

95/100

95.00%

🥇

Geoff Barker

97/100

97.00%

🥉 =3

Anthony Clark

Neil Midgley

93/100

93.00%

Event Difficulty

78.3% This Event

vs. North Of England C.T.C historical average (English Sporting)

↑ +4.3% easier than usual

Ground avg: 74.0%

Class Winners

AA 5 entered

97/100 — 97.00%

Geoff Barker

2: Anthony Clark — 93.00%

A 12 entered

93/100 — 93.00%

Neil Midgley

2=: Philip Lewis — 87.00%

B 17 entered

95/100 — 95.00%

John Frankland

2: Jonathan Hull — 89.00%

C 16 entered

90/100 — 90.00%

Thomas Rogers

2: Neil Gillies — 88.00%

Field Shape

78.3%

Field avg

English Sporting at North Of England C.T.C had a 54.0 point scoring spread across 50 entries.

Spread 54.0 pts

Front 97.0%

Largest class B

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

Score Distribution

90–100%

6 12.0%

80–89%

20 40.0%

70–79%

13 26.0%

60–69%

8 16.0%

50–59%

1 2.0%

<50%

2 4.0%

Field Achievement

% of competitors reaching each score threshold

90%+

12.0%

6 / 50

80%+

52.0%

26 / 50

70%+

78.0%

39 / 50

60%+

94.0%

47 / 50

50%+

96.0%

48 / 50

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 North Of England C.T.C

English Sporting 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

87.0-97.0%

69.0-93.0%

60.0-95.0%

43.0-90.0%

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: 97.0%. 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	5	91.4%	97.0%	87.0%	Geoff Barker
A	12	83.1%	93.0%	69.0%	Neil Midgley
B	17	80.9%	95.0%	60.0%	John Frankland
C	16	67.9%	90.0%	43.0%	Thomas Rogers

Class Composition

5 10.0%

12 24.0%

17 34.0%

16 32.0%

Largest class: B — 17 competitors (34.0%)

Full Results — 50 entries

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

Class AA

Score 97/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 95/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 93/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 93/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 91/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 89/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 89/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 83/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 82/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 82/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 82/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 79/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 79/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 79/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 78/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 78/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 76/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 76/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 75/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 74/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 72/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 72/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 69/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 69/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 65/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 64/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 63/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 61/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 60/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 60/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 54/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 49/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 43/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Geoff Barker	AA	97/100	97.00%	🔒 1	🔒 +0.0%
2	John Frankland	B	95/100	95.00%	🔒 1	🔒 +0.0%
3=	Anthony Clark	AA	93/100	93.00%	🔒 1	🔒 +0.0%
3=	Neil Midgley	A	93/100	93.00%	🔒 1	🔒 +0.0%
5	Michael Foster	AA	91/100	91.00%	🔒 1	🔒 +0.0%
6	Thomas Rogers	C	90/100	90.00%	🔒 1	🔒 +0.0%
7=	Jonathan Hull	B	89/100	89.00%	🔒 1	🔒 +0.0%
7=	Paul Fulford	AA	89/100	89.00%	🔒 1	🔒 +0.0%
9	Neil Gillies	C	88/100	88.00%	🔒 1	🔒 +0.0%
10=	David Naylor	B	87/100	87.00%	🔒 1	🔒 +0.0%
10=	Philip Lewis	A	87/100	87.00%	🔒 1	🔒 +0.0%
10=	Ray Morrell	A	87/100	87.00%	🔒 1	🔒 +0.0%
10=	Robert Kitchingman	AA	87/100	87.00%	🔒 1	🔒 +0.0%
10=	Steven Ashton	B	87/100	87.00%	🔒 1	🔒 +0.0%
15	Jamie Galley	B	86/100	86.00%	🔒 1	🔒 +0.0%
16=	Alan Wharton	A	85/100	85.00%	🔒 1	🔒 +0.0%
16=	Mark Noble	A	85/100	85.00%	🔒 1	🔒 +0.0%
16=	Richard Atkins	A	85/100	85.00%	🔒 1	🔒 +0.0%
16=	Wayne Stables	A	85/100	85.00%	🔒 1	🔒 +0.0%
20=	Kevin Galley	B	84/100	84.00%	🔒 1	🔒 +0.0%
20=	Lynne Hardcastle	B	84/100	84.00%	🔒 1	🔒 +0.0%
20=	Michael Stonehouse	B	84/100	84.00%	🔒 1	🔒 +0.0%
23	Mark Allan	B	83/100	83.00%	🔒 1	🔒 +0.0%
24=	Ian Bulman	A	82/100	82.00%	🔒 1	🔒 +0.0%
24=	Paul Bulman	B	82/100	82.00%	🔒 1	🔒 +0.0%
24=	Rob Jess	A	82/100	82.00%	🔒 1	🔒 +0.0%
27=	Kian Galley	C	79/100	79.00%	🔒 1	🔒 +0.0%
27=	Michael Newby	A	79/100	79.00%	🔒 1	🔒 +0.0%
27=	William Wilson	C	79/100	79.00%	🔒 1	🔒 +0.0%
30=	Laurence Craven	B	78/100	78.00%	🔒 1	🔒 +0.0%
30=	Oliver Kemp	A	78/100	78.00%	🔒 1	🔒 +0.0%
32=	Darren Bell	B	77/100	77.00%	🔒 1	🔒 +0.0%
32=	Ian Wilkinson	B	77/100	77.00%	🔒 1	🔒 +0.0%
34=	Mick Balmforth	B	76/100	76.00%	🔒 1	🔒 +0.0%
34=	Tim Ellis	C	76/100	76.00%	🔒 1	🔒 +0.0%
36	Robert Gant	C	75/100	75.00%	🔒 1	🔒 +0.0%
37	Mark Griffith	B	74/100	74.00%	🔒 1	🔒 +0.0%
38=	Adrian Highley	B	72/100	72.00%	🔒 1	🔒 +0.0%
38=	Stephen Redley	C	72/100	72.00%	🔒 1	🔒 +0.0%
40=	Alex Scott	C	69/100	69.00%	🔒 1	🔒 +0.0%
40=	David Pemberton	A	69/100	69.00%	🔒 1	🔒 +0.0%
42	Peter Naylor	C	65/100	65.00%	🔒 1	🔒 +0.0%
43	Joshua Morris	C	64/100	64.00%	🔒 1	🔒 +0.0%
44	Edward Szczoczarz	C	63/100	63.00%	🔒 1	🔒 +0.0%
45	Todd Walsh	C	61/100	61.00%	🔒 1	🔒 +0.0%
46=	Andrew Hey	C	60/100	60.00%	🔒 1	🔒 +0.0%
46=	Tim O'Brien	B	60/100	60.00%	🔒 1	🔒 +0.0%
48	Ben Bellwood	C	54/100	54.00%	🔒 1	🔒 +0.0%
49	Karl Ashmore	C	49/100	49.00%	🔒 1	🔒 +0.0%
50	Ian Woodliffe	C	43/100	43.00%	🔒 1	🔒 +0.0%

Other ESP Events at North Of England C.T.C

⚙ Performance Stats DRAG TO MOVE

0.046s ● FAST

DB 48% · Py 35% · Render 17%

12 queries · avg 1.8ms · max 7.3ms

Render Breakdown

DB Logic (Pre-Render) 0.0216s

Python Logic (Pre-Render) 0.0160s

Full Page Render 0.0078s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.003s

shoot_score 2× 0.011s

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 [23:55:34.863] 2.1ms

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_…

#2 [23:55:34.868] 3.8ms

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 [23:55:34.879] 7.3ms

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 [23:55:34.882] 1.3ms

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_…

#5 [23:55:34.884] 1.0ms

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 [23:55:34.886] 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 [23:55:34.888] 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 [23:55:34.890] 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 [23:55:34.891] 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 [23:55:34.893] 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 [23:55:34.894] 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 [23:55:34.896] 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 Sporting at North Of England C.T.C

Unlock the full event analysis

Historical Trends at North Of England C.T.C

Classification Deep Dive

Event Performance Analysis

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?