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DTL — Down The Line

Down The Line at North Of England C.T.C

North Of England C.T.C

Sunday, 06 April 2025 · CPSA Results →

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Event Rating

Latest Visitor Reviews

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Entries

93.9%

Field Average

99.0%

Highest Score

85.7%

Lowest Score

Top 3 Overall

🥈

Paul Meakin

293/300

97.67%

🥇

Lee Wilcoxson

297/300

99.00%

🥉

Edward Armett

292/300

97.33%

Event Difficulty

93.9% This Event

vs. North Of England C.T.C historical average (Down The Line)

— About average difficulty

Ground avg: 93.5%

Class Winners

AA 7 entered

297/300 — 99.00%

Lee Wilcoxson

2: Paul Meakin — 97.67%

A 4 entered

291/300 — 97.00%

Richard Atkins

2: John Adams — 95.33%

B 2 entered

280/300 — 93.33%

David Robinson

2: Richard Blacker — 90.67%

C 1 entered

257/300 — 85.67%

Grant Davidson

Field Shape

93.9%

Field avg

Down The Line at North Of England C.T.C had a 13.3 point scoring spread across 14 entries.

Spread 13.3 pts

Front 99.0%

Largest class AA

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

Score Distribution

90–100%

13 92.9%

80–89%

1 7.1%

70–79%

0 0.0%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

92.9%

13 / 14

80%+

100.0%

14 / 14

70%+

100.0%

14 / 14

60%+

100.0%

14 / 14

50%+

100.0%

14 / 14

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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 North Of England C.T.C

Down The Line 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

91.7-99.0%

90.7-97.0%

90.7-93.3%

85.7-85.7%

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: 99.0%. 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	7	95.7%	99.0%	91.7%	Lee Wilcoxson
A	4	93.6%	97.0%	90.7%	Richard Atkins
B	2	92.0%	93.3%	90.7%	David Robinson
C	1	85.7%	85.7%	85.7%	Grant Davidson

Class Composition

7 50.0%

4 28.6%

2 14.3%

1 7.1%

Largest class: AA — 7 competitors (50.0%)

Full Results — 14 entries

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

Class AA

Score 297/300

vs Class Avg +0.0%

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Class AA

Score 293/300

vs Class Avg +0.0%

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Class AA

Score 292/300

vs Class Avg +0.0%

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Class A

Score 291/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 286/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 285/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 280/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 275/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 274/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 272/300

vs Class Avg +0.0%

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Class B

Score 272/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 257/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Lee Wilcoxson	AA	297/300	99.00%	🔒 1	🔒 +0.0%
2	Paul Meakin	AA	293/300	97.67%	🔒 1	🔒 +0.0%
3	Edward Armett	AA	292/300	97.33%	🔒 1	🔒 +0.0%
4	Richard Atkins	A	291/300	97.00%	🔒 1	🔒 +0.0%
5	Curtis Woolley	AA	287/300	95.67%	🔒 1	🔒 +0.0%
6	John Adams	A	286/300	95.33%	🔒 1	🔒 +0.0%
7	David Garrett	AA	285/300	95.00%	🔒 1	🔒 +0.0%
8	Geoff Barker	AA	281/300	93.67%	🔒 1	🔒 +0.0%
9	David Robinson	B	280/300	93.33%	🔒 1	🔒 +0.0%
10	Paul Chaplow	AA	275/300	91.67%	🔒 1	🔒 +0.0%
11	Garry Sayles	A	274/300	91.33%	🔒 1	🔒 +0.0%
12=	David Taberner	A	272/300	90.67%	🔒 1	🔒 +0.0%
12=	Richard Blacker	B	272/300	90.67%	🔒 1	🔒 +0.0%
14	Grant Davidson	C	257/300	85.67%	🔒 1	🔒 +0.0%

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

⚙ Performance Stats DRAG TO MOVE

0.025s ● FAST

DB 49% · Py 37% · Render 13%

12 queries · avg 1.0ms · max 1.7ms

Render Breakdown

DB Logic (Pre-Render) 0.0122s

Python Logic (Pre-Render) 0.0092s

Full Page Render 0.0033s

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 [04:20:47.963] 1.7ms

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 [04:20:47.965] 1.1ms

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 [04:20:47.968] 1.7ms

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 [04:20:47.969] 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 [04:20:47.971] 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 [04:20:47.972] 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 [04:20:47.973] 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…

#8 [04:20:47.975] 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 [04:20:47.976] 0.8ms

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 [04:20:47.977] 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 [04:20:47.978] 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 [04:20:47.980] 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

Down The Line at North Of England C.T.C

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Historical Trends at North Of England C.T.C

Classification Deep Dive

Event Performance Analysis

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