Back to Events

DTL — Down The Line

Down The Line at Nottingham & District Gun Club

Nottingham & District Gun Club

Friday, 09 May 2025 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

74.4%

Field Average

99.0%

Highest Score

23.7%

Lowest Score

Top 3 Overall

🥈

David Hinchliffe

281/300

93.67%

🥇

Connor Harris

297/300

99.00%

🥉

Robert Dytor

279/300

93.00%

Event Difficulty

74.4% This Event

vs. Nottingham & District Gun Club historical average (Down The Line)

↓ -12.9% harder than usual

Ground avg: 87.3%

Class Winners

AA 5 entered

297/300 — 99.00%

Connor Harris

2: David Hinchliffe — 93.67%

A 6 entered

278/300 — 92.67%

David Dale

2: Clive Weston — 87.33%

B 4 entered

264/300 — 88.00%

Oliver Rickaby

2: Rob Millin — 87.67%

C 28 entered

264/300 — 88.00%

Simon Gaines

2: Tony Hughes — 84.00%

Field Shape

74.4%

Field avg

Down The Line at Nottingham & District Gun Club had a 75.3 point scoring spread across 43 entries.

Spread 75.3 pts

Front 99.0%

Largest class C

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

Score Distribution

90–100%

4 9.3%

80–89%

15 34.9%

70–79%

14 32.6%

60–69%

4 9.3%

50–59%

2 4.7%

<50%

4 9.3%

Field Achievement

% of competitors reaching each score threshold

90%+

4 / 43

80%+

44.2%

19 / 43

70%+

76.7%

33 / 43

60%+

86.0%

37 / 43

50%+

90.7%

39 / 43

Unlock the full event analysis

Register free for historical ground trends, class averages and spread, score charts, class composition and a detailed classification breakdown.

Historical Trends at Nottingham & District Gun Club

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

86.0-99.0%

79.0-92.7%

78.7-88.0%

23.7-88.0%

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	5	92.0%	99.0%	86.0%	Connor Harris
A	6	84.5%	92.7%	79.0%	David Dale
B	4	85.2%	88.0%	78.7%	Oliver Rickaby
C	28	67.6%	88.0%	23.7%	Simon Gaines

Class Composition

5 11.6%

6 14.0%

4 9.3%

28 65.1%

Largest class: C — 28 competitors (65.1%)

Full Results — 43 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%

Profile Open →

Class AA

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 279/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 278/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 265/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 264/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 264/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 263/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 262/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 259/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 258/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 254/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 252/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 250/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 247/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 244/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 243/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 242/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 239/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 237/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 237/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 236/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 234/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 230/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 225/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 224/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 220/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 220/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 219/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 219/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 217/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 211/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 209/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 194/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 187/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 184/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 156/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 130/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 108/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 81/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 71/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 54/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 29/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Connor Harris	AA	297/300	99.00%	🔒 1	🔒 +0.0%
2	David Hinchliffe	AA	281/300	93.67%	🔒 1	🔒 +0.0%
3	Robert Dytor	AA	279/300	93.00%	🔒 1	🔒 +0.0%
4	David Dale	A	278/300	92.67%	🔒 1	🔒 +0.0%
5	Peter Gibson	AA	265/300	88.33%	🔒 1	🔒 +0.0%
6=	Oliver Rickaby	B	264/300	88.00%	🔒 1	🔒 +0.0%
6=	Simon Gaines	C	264/300	88.00%	🔒 1	🔒 +0.0%
8	Rob Millin	B	263/300	87.67%	🔒 1	🔒 +0.0%
9	Clive Weston	A	262/300	87.33%	🔒 1	🔒 +0.0%
10	Martin Taylor	B	259/300	86.33%	🔒 1	🔒 +0.0%
11	Gary Reid	AA	258/300	86.00%	🔒 1	🔒 +0.0%
12	Chris Bone	A	254/300	84.67%	🔒 1	🔒 +0.0%
13	Tony Hughes	C	252/300	84.00%	🔒 1	🔒 +0.0%
14	James Wilson	C	250/300	83.33%	🔒 1	🔒 +0.0%
15	Andy Cain	A	247/300	82.33%	🔒 1	🔒 +0.0%
16	Emma Lacey	C	244/300	81.33%	🔒 1	🔒 +0.0%
17	John Mews	A	243/300	81.00%	🔒 1	🔒 +0.0%
18	Paul Coll	C	242/300	80.67%	🔒 1	🔒 +0.0%
19	Richard Desborough	C	239/300	79.67%	🔒 1	🔒 +0.0%
20=	Richard Gray	A	237/300	79.00%	🔒 1	🔒 +0.0%
20=	Stephen Perham	C	237/300	79.00%	🔒 1	🔒 +0.0%
22	Kevin Martin	B	236/300	78.67%	🔒 1	🔒 +0.0%
23	Jack Burnett	C	234/300	78.00%	🔒 1	🔒 +0.0%
24	Callum Brown	C	230/300	76.67%	🔒 1	🔒 +0.0%
25	Shaun Polley	C	225/300	75.00%	🔒 1	🔒 +0.0%
26	Pauline Griffiths-Jeans	C	224/300	74.67%	🔒 1	🔒 +0.0%
27=	Sammy McGrath	C	220/300	73.33%	🔒 1	🔒 +0.0%
27=	Steven Pugh	C	220/300	73.33%	🔒 1	🔒 +0.0%
29=	Bob Simpson	C	219/300	73.00%	🔒 1	🔒 +0.0%
29=	Sheriden Whitford-Oakes	C	219/300	73.00%	🔒 1	🔒 +0.0%
31	Charlotte Parkin	C	217/300	72.33%	🔒 1	🔒 +0.0%
32	Jonathan White	C	211/300	70.33%	🔒 1	🔒 +0.0%
33	Stephen Watling	C	209/300	69.67%	🔒 1	🔒 +0.0%
34	Andrew Colton	C	194/300	64.67%	🔒 1	🔒 +0.0%
35	Daniel Johnson	C	187/300	62.33%	🔒 1	🔒 +0.0%
36	Stewart Oakes	C	184/300	61.33%	🔒 1	🔒 +0.0%
37	Mark Mowforth	C	156/300	52.00%	🔒 1	🔒 +0.0%
38	Ellie Brown	C	130/300	43.33%	🔒 1	🔒 +0.0%
39	David Ashe	C	108/300	36.00%	🔒 1	🔒 +0.0%
40	William Wilson	C	81/100	81.00%	🔒 1	🔒 +0.0%
41	Rebecca Suttie	C	71/300	23.67%	🔒 1	🔒 +0.0%
42	Nathan McDonald	C	54/100	54.00%	🔒 1	🔒 +0.0%
43	Matthew Stephen	C	29/100	29.00%	🔒 1	🔒 +0.0%

Other DTL Events at Nottingham & District Gun Club

⚙ Performance Stats DRAG TO MOVE

0.031s ● FAST

DB 40% · Py 40% · Render 20%

12 queries · avg 1.0ms · max 1.6ms

Render Breakdown

DB Logic (Pre-Render) 0.0124s

Python Logic (Pre-Render) 0.0121s

Full Page Render 0.0061s

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 [04:47:28.097] 1.6ms

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 [04:47:28.099] 1.4ms

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 [04:47:28.103] 1.5ms

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 [04:47:28.105] 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 [04:47:28.106] 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 [04:47:28.108] 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 [04:47:28.109] 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 [04:47:28.111] 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 [04:47:28.112] 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 [04:47:28.113] 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 [04:47:28.115] 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 [04:47:28.116] 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 Nottingham & District Gun Club

Unlock the full event analysis

Historical Trends at Nottingham & District Gun Club

Classification Deep Dive

Event Performance Analysis

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?