Back to Events

DTL — Down The Line

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

North Of England C.T.C

Saturday, 12 April 2025 · CPSA Results →

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

93.1%

Field Average

99.3%

Highest Score

78.0%

Lowest Score

Top 3 Overall

🥈 =2

David Garrett

Ian Biggins

296/300

98.67%

🥇

Stuart Kitchen

298/300

99.33%

Event Difficulty

93.1% This Event

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

— About average difficulty

Ground avg: 93.5%

Score Distribution

90–100%

22 81.5%

80–89%

4 14.8%

70–79%

1 3.7%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

81.5%

22 / 27

80%+

96.3%

26 / 27

70%+

100.0%

27 / 27

60%+

100.0%

27 / 27

50%+

100.0%

27 / 27

Class Breakdown

Class	Count	Average	High	Low	Winner
AA	6	97.5%	98.7%	95.3%	David Garrett
A	9	94.4%	99.3%	90.0%	Stuart Kitchen
B	9	90.7%	97.3%	78.0%	Joanna Fairclough
C	3	87.8%	92.0%	84.0%	George Agar

Class Composition

6 22.2%

9 33.3%

3 11.1%

Largest class: A — 9 competitors (33.3%)

Class Winners

AA 6 entered

296/300 — 98.67%

David Garrett(tied) Ian Biggins(tied)

3: Stephen Petch — 98.33%

A 9 entered

298/300 — 99.33%

Stuart Kitchen

2: Keith Blaney — 96.67%

B 9 entered

292/300 — 97.33%

Joanna Fairclough

2: John Titterington — 95.67%

C 3 entered

92/100 — 92.00%

George Agar

2: Steven Pape — 87.33%

Full Results — 27 entries

A Stuart Kitchen

298/300

99.3%

AA David Garrett

296/300

98.7%

AA Ian Biggins

296/300

98.7%

AA Stephen Petch

295/300

98.3%

AA Paul Chaplow

293/300

97.7%

B Joanna Fairclough

292/300

97.3%

A Keith Blaney

290/300

96.7%

AA Peter Relph

289/300

96.3%

A Daniel Agar

288/300

96.0%

10=

A Bob Singleton

287/300

95.7%

10=

B John Titterington

287/300

95.7%

AA Daniel Harrison

286/300

95.3%

A Dudley Coward

284/300

94.7%

B Richard Blacker

282/300

94.0%

15=

B Eric Atkinson

280/300

93.3%

15=

A Garry Sayles

280/300

93.3%

A Shaun Pullman

278/300

92.7%

C George Agar

92/100

92.0%

B David Amos

275/300

91.7%

A Geoffrey Nutter

274/300

91.3%

B Jane Hitchmough

271/300

90.3%

A Andrew Laverack

270/300

90.0%

B Simon Taylor

267/300

89.0%

24=

B Nicholas Simpson

262/300

87.3%

24=

C Steven Pape

262/300

87.3%

C Michael Ritson

252/300

84.0%

B Gary Boardman

234/300

78.0%

#	Name	Class	Score	Score %	Class Rank
1	Stuart Kitchen	A	298/300	99.33%	1
2=	David Garrett	AA	296/300	98.67%	1=
2=	Ian Biggins	AA	296/300	98.67%	1=
4	Stephen Petch	AA	295/300	98.33%	3
5	Paul Chaplow	AA	293/300	97.67%	4
6	Joanna Fairclough	B	292/300	97.33%	1
7	Keith Blaney	A	290/300	96.67%	2
8	Peter Relph	AA	289/300	96.33%	5
9	Daniel Agar	A	288/300	96.00%	3
10=	Bob Singleton	A	287/300	95.67%	4
10=	John Titterington	B	287/300	95.67%	2
12	Daniel Harrison	AA	286/300	95.33%	6
13	Dudley Coward	A	284/300	94.67%	5
14	Richard Blacker	B	282/300	94.00%	3
15=	Eric Atkinson	B	280/300	93.33%	4
15=	Garry Sayles	A	280/300	93.33%	6
17	Shaun Pullman	A	278/300	92.67%	7
18	George Agar	C	92/100	92.00%	1
19	David Amos	B	275/300	91.67%	5
20	Geoffrey Nutter	A	274/300	91.33%	8
21	Jane Hitchmough	B	271/300	90.33%	6
22	Andrew Laverack	A	270/300	90.00%	9
23	Simon Taylor	B	267/300	89.00%	7
24=	Nicholas Simpson	B	262/300	87.33%	8
24=	Steven Pape	C	262/300	87.33%	2
26	Michael Ritson	C	252/300	84.00%	3
27	Gary Boardman	B	234/300	78.00%	9

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

Analyzing Data...

Connecting to CPSA...

Initial Scores

History Pages

Classifications

Fixture Details

Analyzing Data...

Connecting to CPSA...

Initial Scores

History Pages

Classifications

Fixture Details

⚙ Performance Stats DRAG TO MOVE

0.029s ● FAST

DB 49% · Py 38% · Render 12%

11 queries · avg 1.3ms · max 2.5ms

Render Breakdown

DB Logic (Pre-Render) 0.0142s

Python Logic (Pre-Render) 0.0110s

Full Page Render 0.0036s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.003s

shoot_score 2× 0.004s

site_configuration 2× 0.002s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (11) — click to expand

#1 [03:48:25.089] 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 [03:48:25.092] 1.5ms

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 [03:48:25.096] 2.5ms

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 [03:48:25.098] 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 [03:48:25.100] 1.0ms

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 [03:48:25.102] 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 [03:48:25.103] 1.0ms

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 [03:48:25.105] 1.0ms

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…

#9 [03:48:25.107] 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

#10 [03:48:25.108] 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)

#11 [03:48:25.110] 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

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?