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DTL — Down The Line

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

North Of England C.T.C

Saturday, 13 June 2026 · CPSA Results →

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Event Rating

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Entries

87.2%

Field Average

97.0%

Highest Score

68.7%

Lowest Score

Top 3 Overall

🥈

Gerry Duffy

282/300

94.00%

🥇

Richard Atkins

291/300

97.00%

🥉

Andy Cain

281/300

93.67%

Event Difficulty

87.2% This Event

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

↓ -6.3% harder than usual

Ground avg: 93.5%

Class Winners

AA 1 entered

291/300 — 97.00%

Richard Atkins

A 2 entered

282/300 — 94.00%

Gerry Duffy

2: Maurice Beedan — 93.00%

B 2 entered

281/300 — 93.67%

Andy Cain

2: Kevin Nadin — 91.67%

C 5 entered

272/300 — 90.67%

James Holcroft

2: Carole Reading — 86.33%

Field Shape

87.2%

Field avg

Down The Line at North Of England C.T.C had a 28.3 point scoring spread across 10 entries.

Spread 28.3 pts

Front 97.0%

Largest class C

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

Score Distribution

90–100%

6 60.0%

80–89%

2 20.0%

70–79%

1 10.0%

60–69%

1 10.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

60.0%

6 / 10

80%+

80.0%

8 / 10

70%+

90.0%

9 / 10

60%+

100.0%

10 / 10

50%+

100.0%

10 / 10

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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

97.0-97.0%

93.0-94.0%

91.7-93.7%

68.7-90.7%

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: 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	1	97.0%	97.0%	97.0%	Richard Atkins
A	2	93.5%	94.0%	93.0%	Gerry Duffy
B	2	92.7%	93.7%	91.7%	Andy Cain
C	5	80.5%	90.7%	68.7%	James Holcroft

Class Composition

1 10.0%

2 20.0%

5 50.0%

Largest class: C — 5 competitors (50.0%)

Full Results — 10 entries

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

Class AA

Score 291/300

vs Class Avg +0.0%

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Class A

Score 282/300

vs Class Avg +0.0%

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Class B

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 279/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 275/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 272/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 259/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 241/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 229/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 206/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Richard Atkins	AA	291/300	97.00%	🔒 1	🔒 +0.0%
2	Gerry Duffy	A	282/300	94.00%	🔒 1	🔒 +0.0%
3	Andy Cain	B	281/300	93.67%	🔒 1	🔒 +0.0%
4	Maurice Beedan	A	279/300	93.00%	🔒 1	🔒 +0.0%
5	Kevin Nadin	B	275/300	91.67%	🔒 1	🔒 +0.0%
6	James Holcroft	C	272/300	90.67%	🔒 1	🔒 +0.0%
7	Carole Reading	C	259/300	86.33%	🔒 1	🔒 +0.0%
8	Matt Pickford	C	241/300	80.33%	🔒 1	🔒 +0.0%
9	Karen Holcroft	C	229/300	76.33%	🔒 1	🔒 +0.0%
10	Grant Davidson	C	206/300	68.67%	🔒 1	🔒 +0.0%

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

⚙ Performance Stats DRAG TO MOVE

0.061s ● FAST

DB 71% · Py 23% · Render 6%

12 queries · avg 3.6ms · max 20.5ms

Render Breakdown

DB Logic (Pre-Render) 0.0436s

Python Logic (Pre-Render) 0.0141s

Full Page Render 0.0036s

QUERY TABLES ▾

⚠ event_review 4× 0.024s

shoot_event 2× 0.003s

shoot_score 2× 0.008s

site_configuration 2× 0.003s

ground 1× 0.004s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [06:08:09.582] 2.0ms

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_…

#2 [06:08:09.588] 5.4ms

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 [06:08:09.592] 2.7ms

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 [06:08:09.595] 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 [06:08:09.596] 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 [06:08:09.598] 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 [06:08:09.601] 2.0ms

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 [06:08:09.622] 20.5ms

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 [06:08:09.627] 3.6ms

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 [06:08:09.630] 2.2ms

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 [06:08:09.632] 1.1ms

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 [06:08:09.634] 1.0ms

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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