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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, 26 July 2025 · CPSA Results →

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Event Rating

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Entries

94.3%

Field Average

98.3%

Highest Score

82.7%

Lowest Score

Top 3 Overall

🥈 =2

Andrew Laverack

David Garrett

Ian Biggins

294/300

98.00%

🥇

Mark Shaw

295/300

98.33%

Event Difficulty

94.3% This Event

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

↑ +0.8% easier than usual

Ground avg: 93.5%

Class Winners

AA 4 entered

294/300 — 98.00%

David Garrett(tied) Ian Biggins(tied)

3=: David Priestman — 97.67%

A 14 entered

295/300 — 98.33%

Mark Shaw

2: Shaun Pullman — 97.33%

B 12 entered

294/300 — 98.00%

Andrew Laverack

2: Rene Aas — 97.67%

C 5 entered

281/300 — 93.67%

Steven Pape(tied) Steven Whittaker(tied)

3: Carole Reading — 93.00%

Field Shape

94.3%

Field avg

Down The Line at North Of England C.T.C had a 15.6 point scoring spread across 35 entries.

Spread 15.6 pts

Front 98.3%

Largest class A

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

Score Distribution

90–100%

33 94.3%

80–89%

2 5.7%

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%+

94.3%

33 / 35

80%+

100.0%

35 / 35

70%+

100.0%

35 / 35

60%+

100.0%

35 / 35

50%+

100.0%

35 / 35

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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)—

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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

97.7-98.0%

91.3-98.3%

86.7-98.0%

82.7-93.7%

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: 98.3%. 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	4	97.8%	98.0%	97.7%	David Garrett
A	14	95.0%	98.3%	91.3%	Mark Shaw
B	12	93.6%	98.0%	86.7%	Andrew Laverack
C	5	91.0%	93.7%	82.7%	Steven Pape

Class Composition

4 11.4%

14 40.0%

12 34.3%

5 14.3%

Largest class: A — 14 competitors (40.0%)

Full Results — 35 entries

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

Class A

Score 295/300

vs Class Avg +0.0%

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Class B

Score 294/300

vs Class Avg +0.0%

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Class AA

Score 294/300

vs Class Avg +0.0%

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Class AA

Score 294/300

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 293/300

vs Class Avg +0.0%

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Class B

Score 293/300

vs Class Avg +0.0%

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Class A

Score 292/300

vs Class Avg +0.0%

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Class A

Score 289/300

vs Class Avg +0.0%

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Class A

Score 289/300

vs Class Avg +0.0%

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Class A

Score 288/300

vs Class Avg +0.0%

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Class A

Score 287/300

vs Class Avg +0.0%

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Class A

Score 286/300

vs Class Avg +0.0%

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Class A

Score 286/300

vs Class Avg +0.0%

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Class B

Score 285/300

vs Class Avg +0.0%

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Class B

Score 285/300

vs Class Avg +0.0%

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Class B

Score 285/300

vs Class Avg +0.0%

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Class B

Score 284/300

vs Class Avg +0.0%

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Class A

Score 283/300

vs Class Avg +0.0%

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Class A

Score 283/300

vs Class Avg +0.0%

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Class B

Score 283/300

vs Class Avg +0.0%

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Class B

Score 283/300

vs Class Avg +0.0%

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Class A

Score 282/300

vs Class Avg +0.0%

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Class C

Score 281/300

vs Class Avg +0.0%

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Class C

Score 281/300

vs Class Avg +0.0%

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Class A

Score 280/300

vs Class Avg +0.0%

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Class C

Score 279/300

vs Class Avg +0.0%

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Class C

Score 276/300

vs Class Avg +0.0%

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Class A

Score 274/300

vs Class Avg +0.0%

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Class B

Score 274/300

vs Class Avg +0.0%

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Class A

Score 274/300

vs Class Avg +0.0%

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Class B

Score 273/300

vs Class Avg +0.0%

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Class B

Score 271/300

vs Class Avg +0.0%

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Class B

Score 260/300

vs Class Avg +0.0%

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Class C

Score 248/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Mark Shaw	A	295/300	98.33%	🔒 1	🔒 +0.0%
2=	Andrew Laverack	B	294/300	98.00%	🔒 1	🔒 +0.0%
2=	David Garrett	AA	294/300	98.00%	🔒 1	🔒 +0.0%
2=	Ian Biggins	AA	294/300	98.00%	🔒 1	🔒 +0.0%
5=	David Priestman	AA	293/300	97.67%	🔒 1	🔒 +0.0%
5=	Paul Chaplow	AA	293/300	97.67%	🔒 1	🔒 +0.0%
5=	Rene Aas	B	293/300	97.67%	🔒 1	🔒 +0.0%
8	Shaun Pullman	A	292/300	97.33%	🔒 1	🔒 +0.0%
9=	Thomas Shaw	A	289/300	96.33%	🔒 1	🔒 +0.0%
9=	Tom Fair	A	289/300	96.33%	🔒 1	🔒 +0.0%
11	David Taberner	A	288/300	96.00%	🔒 1	🔒 +0.0%
12	Garry Sayles	A	287/300	95.67%	🔒 1	🔒 +0.0%
13=	Calum Willey	A	286/300	95.33%	🔒 1	🔒 +0.0%
13=	Daniel Harrison	A	286/300	95.33%	🔒 1	🔒 +0.0%
15=	Craig Hall	B	285/300	95.00%	🔒 1	🔒 +0.0%
15=	David Robinson	B	285/300	95.00%	🔒 1	🔒 +0.0%
15=	Paul Worthington	B	285/300	95.00%	🔒 1	🔒 +0.0%
18	Paul Osborne	B	284/300	94.67%	🔒 1	🔒 +0.0%
19=	David Magill	A	283/300	94.33%	🔒 1	🔒 +0.0%
19=	John Adams	A	283/300	94.33%	🔒 1	🔒 +0.0%
19=	Nicholas Simpson	B	283/300	94.33%	🔒 1	🔒 +0.0%
19=	Stephen Clark	B	283/300	94.33%	🔒 1	🔒 +0.0%
23	Cliff Pain	A	282/300	94.00%	🔒 1	🔒 +0.0%
24=	Steven Pape	C	281/300	93.67%	🔒 1	🔒 +0.0%
24=	Steven Whittaker	C	281/300	93.67%	🔒 1	🔒 +0.0%
26	Mark Child	A	280/300	93.33%	🔒 1	🔒 +0.0%
27	Carole Reading	C	279/300	93.00%	🔒 1	🔒 +0.0%
28	Sarah Thorpe	C	276/300	92.00%	🔒 1	🔒 +0.0%
29=	George Turnes	A	274/300	91.33%	🔒 1	🔒 +0.0%
29=	Michael Reading	B	274/300	91.33%	🔒 1	🔒 +0.0%
29=	Tommie Fair Jr	A	274/300	91.33%	🔒 1	🔒 +0.0%
32	Denis Willey	B	273/300	91.00%	🔒 1	🔒 +0.0%
33	Richard Blacker	B	271/300	90.33%	🔒 1	🔒 +0.0%
34	Eric Atkinson	B	260/300	86.67%	🔒 1	🔒 +0.0%
35	Andrew Mackley	C	248/300	82.67%	🔒 1	🔒 +0.0%

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

⚙ Performance Stats DRAG TO MOVE

0.609s ● FAST

DB 96% · Py 3% · Render 1%

12 queries · avg 48.9ms · max 292.3ms

Render Breakdown

DB Logic (Pre-Render) 0.5872s

Python Logic (Pre-Render) 0.0164s

Full Page Render 0.0058s

QUERY TABLES ▾

⚠ event_review 4× 0.096s

shoot_event 2× 0.003s

shoot_score 2× 0.293s

site_configuration 2× 0.099s

ground 1× 0.094s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [02:18:11.127] 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 [02:18:11.129] 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 [02:18:11.424] 292.3ms

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 [02:18:11.427] 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 [02:18:11.521] 93.3ms

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 [02:18:11.524] 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 [02:18:11.525] 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 [02:18:11.527] 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 [02:18:11.621] 94.0ms

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 [02:18:11.721] 98.5ms

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 [02:18:11.724] 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 IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [02:18:11.725] 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

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Event Performance Analysis

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