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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, 29 November 2025 · CPSA Results →

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Event Rating

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Entries

92.5%

Field Average

99.7%

Highest Score

75.0%

Lowest Score

Top 3 Overall

🥈

John Bailey

296/300

98.67%

🥇

David Priestman

299/300

99.67%

🥉

David Garrett

293/300

97.67%

Event Difficulty

92.5% This Event

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

↓ -1.0% harder than usual

Ground avg: 93.5%

Class Winners

AA 5 entered

299/300 — 99.67%

David Priestman

2: John Bailey — 98.67%

A 4 entered

292/300 — 97.33%

Paul Sant

2: Garry Sayles — 96.67%

B 3 entered

285/300 — 95.00%

Nicholas Simpson

2: David Robinson — 89.00%

C 2 entered

232/300 — 77.33%

Svetlana Relton

2: Sheila Oliver — 75.00%

Field Shape

92.5%

Field avg

Down The Line at North Of England C.T.C had a 24.7 point scoring spread across 14 entries.

Spread 24.7 pts

Front 99.7%

Largest class AA

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

Score Distribution

90–100%

10 71.4%

80–89%

2 14.3%

70–79%

2 14.3%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

71.4%

10 / 14

80%+

85.7%

12 / 14

70%+

100.0%

14 / 14

60%+

100.0%

14 / 14

50%+

100.0%

14 / 14

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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

96.7-99.7%

91.0-97.3%

88.3-95.0%

75.0-77.3%

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: 99.7%. 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	97.9%	99.7%	96.7%	David Priestman
A	4	95.2%	97.3%	91.0%	Paul Sant
B	3	90.8%	95.0%	88.3%	Nicholas Simpson
C	2	76.2%	77.3%	75.0%	Svetlana Relton

Class Composition

5 35.7%

4 28.6%

3 21.4%

2 14.3%

Largest class: AA — 5 competitors (35.7%)

Full Results — 14 entries

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

Class AA

Score 299/300

vs Class Avg +0.0%

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Class AA

Score 296/300

vs Class Avg +0.0%

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Class AA

Score 293/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 292/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 291/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 290/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 290/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 285/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 273/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 267/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 265/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 232/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 225/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	David Priestman	AA	299/300	99.67%	🔒 1	🔒 +0.0%
2	John Bailey	AA	296/300	98.67%	🔒 1	🔒 +0.0%
3	David Garrett	AA	293/300	97.67%	🔒 1	🔒 +0.0%
4	Paul Sant	A	292/300	97.33%	🔒 1	🔒 +0.0%
5	Alan Evans	AA	291/300	97.00%	🔒 1	🔒 +0.0%
6=	Garry Sayles	A	290/300	96.67%	🔒 1	🔒 +0.0%
6=	John Adams	AA	290/300	96.67%	🔒 1	🔒 +0.0%
8	David Taberner	A	287/300	95.67%	🔒 1	🔒 +0.0%
9	Nicholas Simpson	B	285/300	95.00%	🔒 1	🔒 +0.0%
10	David Magill	A	273/300	91.00%	🔒 1	🔒 +0.0%
11	David Robinson	B	267/300	89.00%	🔒 1	🔒 +0.0%
12	Michael Ritson	B	265/300	88.33%	🔒 1	🔒 +0.0%
13	Svetlana Relton	C	232/300	77.33%	🔒 1	🔒 +0.0%
14	Sheila Oliver	C	225/300	75.00%	🔒 1	🔒 +0.0%

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

⚙ Performance Stats DRAG TO MOVE

0.063s ● FAST

DB 77% · Py 17% · Render 6%

12 queries · avg 4.1ms · max 37.4ms

Render Breakdown

DB Logic (Pre-Render) 0.0488s

Python Logic (Pre-Render) 0.0108s

Full Page Render 0.0037s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

shoot_event 2× 0.039s

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 [04:18:09.721] 37.4ms

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 [04:18:09.724] 1.2ms

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 [04:18:09.727] 2.1ms

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 [04:18:09.729] 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 [04:18:09.730] 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 [04:18:09.732] 0.8ms

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 [04:18:09.733] 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 [04:18:09.734] 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 [04:18:09.736] 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 [04:18:09.737] 1.0ms

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 [04:18:09.739] 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 IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [04:18:09.740] 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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