Back to Events

STR — Sportrap

100 STR REG

North Of England C.T.C

Sunday, 19 April 2026 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

81.5%

Field Average

95.0%

Highest Score

56.0%

Lowest Score

Top 3 Overall

🥈 =2

Andrew Coulson

Michael Foster

94/100

94.00%

🥇

Paul Wheatley

95/100

95.00%

Event Difficulty

81.5% This Event

vs. North Of England C.T.C historical average (Sportrap)

↑ +7.2% easier than usual

Ground avg: 74.3%

Class Winners

AA 5 entered

95/100 — 95.00%

Paul Wheatley

2=: Andrew Coulson — 94.00%

A 13 entered

92/100 — 92.00%

Richard Atkins

2=: Ian Bulman — 90.00%

B 17 entered

91/100 — 91.00%

Oliver Kemp

2: Mark Hatfield — 87.00%

C 12 entered

86/100 — 86.00%

Adam Foster

2: William Uppington — 84.00%

Field Shape

81.5%

Field avg

100 STR REG had a 39.0 point scoring spread across 47 entries.

Spread 39.0 pts

Front 95.0%

Largest class B

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

Score Distribution

90–100%

10 21.3%

80–89%

23 48.9%

70–79%

8 17.0%

60–69%

3 6.4%

50–59%

3 6.4%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

21.3%

10 / 47

80%+

70.2%

33 / 47

70%+

87.2%

41 / 47

60%+

93.6%

44 / 47

50%+

100.0%

47 / 47

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

Sportrap 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

89.0-95.0%

80.0-92.0%

65.0-91.0%

56.0-86.0%

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: 95.0%. 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	92.4%	95.0%	89.0%	Paul Wheatley
A	13	87.2%	92.0%	80.0%	Richard Atkins
B	17	80.8%	91.0%	65.0%	Oliver Kemp
C	12	71.7%	86.0%	56.0%	Adam Foster

Class Composition

5 10.6%

13 27.7%

17 36.2%

12 25.5%

Largest class: B — 17 competitors (36.2%)

Full Results — 47 entries

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

Class AA

Score 95/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 94/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 94/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 92/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 91/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class AA

Score 89/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 87/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class B

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 85/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class A

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 C

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 82/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 81/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 80/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 80/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 80/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 80/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 79/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 79/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 75/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 75/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 74/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 72/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 71/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 69/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 65/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 65/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 59/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 58/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 56/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Paul Wheatley	AA	95/100	95.00%	🔒 1	🔒 +0.0%
2=	Andrew Coulson	AA	94/100	94.00%	🔒 1	🔒 +0.0%
2=	Michael Foster	AA	94/100	94.00%	🔒 1	🔒 +0.0%
4	Richard Atkins	A	92/100	92.00%	🔒 1	🔒 +0.0%
5	Oliver Kemp	B	91/100	91.00%	🔒 1	🔒 +0.0%
6=	David Kempley	AA	90/100	90.00%	🔒 1	🔒 +0.0%
6=	Ian Bulman	A	90/100	90.00%	🔒 1	🔒 +0.0%
6=	James Thackray	A	90/100	90.00%	🔒 1	🔒 +0.0%
6=	Mark Nicholson	A	90/100	90.00%	🔒 1	🔒 +0.0%
6=	Mark Stocks	A	90/100	90.00%	🔒 1	🔒 +0.0%
11	Dave Carrie	AA	89/100	89.00%	🔒 1	🔒 +0.0%
12=	Alan Wharton	A	88/100	88.00%	🔒 1	🔒 +0.0%
12=	Keith Hugill	A	88/100	88.00%	🔒 1	🔒 +0.0%
14	Mark Hatfield	B	87/100	87.00%	🔒 1	🔒 +0.0%
15=	Adam Foster	C	86/100	86.00%	🔒 1	🔒 +0.0%
15=	Andrew Loving	A	86/100	86.00%	🔒 1	🔒 +0.0%
15=	Peter Robinson	B	86/100	86.00%	🔒 1	🔒 +0.0%
15=	Wayne Stables	A	86/100	86.00%	🔒 1	🔒 +0.0%
19=	Darren Harris	B	85/100	85.00%	🔒 1	🔒 +0.0%
19=	Jack Thompson	A	85/100	85.00%	🔒 1	🔒 +0.0%
19=	Mark Noble	A	85/100	85.00%	🔒 1	🔒 +0.0%
19=	Paul Bulman	B	85/100	85.00%	🔒 1	🔒 +0.0%
23=	David Pemberton	B	84/100	84.00%	🔒 1	🔒 +0.0%
23=	John Frankland	A	84/100	84.00%	🔒 1	🔒 +0.0%
23=	Jonathan Hull	B	84/100	84.00%	🔒 1	🔒 +0.0%
23=	Steven Ashton	B	84/100	84.00%	🔒 1	🔒 +0.0%
23=	William Uppington	C	84/100	84.00%	🔒 1	🔒 +0.0%
28	Tim O'Brien	B	82/100	82.00%	🔒 1	🔒 +0.0%
29	Rachel Carrie	B	81/100	81.00%	🔒 1	🔒 +0.0%
30=	Darren Bell	C	80/100	80.00%	🔒 1	🔒 +0.0%
30=	Michael Hall	A	80/100	80.00%	🔒 1	🔒 +0.0%
30=	Richard Blacker	B	80/100	80.00%	🔒 1	🔒 +0.0%
30=	Thomas Rogers	C	80/100	80.00%	🔒 1	🔒 +0.0%
34=	Bradley Gowlett	B	79/100	79.00%	🔒 1	🔒 +0.0%
34=	Mark Allan	B	79/100	79.00%	🔒 1	🔒 +0.0%
36	Mick Balmforth	C	77/100	77.00%	🔒 1	🔒 +0.0%
37=	Leslie Meynell	B	75/100	75.00%	🔒 1	🔒 +0.0%
37=	Nigel Smith	B	75/100	75.00%	🔒 1	🔒 +0.0%
39	Todd Walsh	C	74/100	74.00%	🔒 1	🔒 +0.0%
40	Graham Bell	C	72/100	72.00%	🔒 1	🔒 +0.0%
41	Edwin Metcalfe	B	71/100	71.00%	🔒 1	🔒 +0.0%
42	Ian Wilkinson	C	69/100	69.00%	🔒 1	🔒 +0.0%
43=	Jamie Firn	B	65/100	65.00%	🔒 1	🔒 +0.0%
43=	Laurence Craven	C	65/100	65.00%	🔒 1	🔒 +0.0%
45	Grant Davidson	C	59/100	59.00%	🔒 1	🔒 +0.0%
46	Ian Woodliffe	C	58/100	58.00%	🔒 1	🔒 +0.0%
47	Nathan Richardson-Kelly	C	56/100	56.00%	🔒 1	🔒 +0.0%

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

⚙ Performance Stats DRAG TO MOVE

0.031s ● FAST

DB 40% · Py 41% · Render 19%

12 queries · avg 1.0ms · max 1.9ms

Render Breakdown

Python Logic (Pre-Render) 0.0126s

DB Logic (Pre-Render) 0.0126s

Full Page Render 0.0059s

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 [06:13:18.205] 1.9ms

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 [06:13:18.207] 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 [06:13:18.212] 1.4ms

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 [06:13:18.213] 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 [06:13:18.215] 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 [06:13:18.217] 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 [06:13:18.218] 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 [06:13:18.219] 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 [06:13:18.221] 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 [06:13:18.222] 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 [06:13:18.224] 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 [06:13:18.225] 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

100 STR REG

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?