Back to Events

DTL — Down The Line

Down The Line at Mayland & District Gun Club

Mayland & District Gun Club

Sunday, 11 May 2025 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

89.8%

Field Average

99.3%

Highest Score

67.0%

Lowest Score

Top 3 Overall

🥈

Mitchell Hill

294/300

98.00%

🥇

Nicky Waghorne

298/300

99.33%

🥉 =3

Billy Chambers

John Malden

293/300

97.67%

Event Difficulty

89.8% This Event

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

↑ +3.2% easier than usual

Ground avg: 86.6%

Class Winners

AA 6 entered

298/300 — 99.33%

Nicky Waghorne

2: Eddie Lockwood — 97.33%

A 20 entered

294/300 — 98.00%

Mitchell Hill

2=: Billy Chambers — 97.67%

B 23 entered

288/300 — 96.00%

Steven Carter

2: David Court — 95.67%

C 18 entered

283/300 — 94.33%

Frankie French

2: Alfred Hardes — 93.00%

Field Shape

89.8%

Field avg

Down The Line at Mayland & District Gun Club had a 32.3 point scoring spread across 67 entries.

Spread 32.3 pts

Front 99.3%

Largest class B

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

Score Distribution

90–100%

41 61.2%

80–89%

18 26.9%

70–79%

6 9.0%

60–69%

2 3.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

61.2%

41 / 67

80%+

88.1%

59 / 67

70%+

97.0%

65 / 67

60%+

100.0%

67 / 67

50%+

100.0%

67 / 67

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 Mayland & 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

95.3-99.3%

88.7-98.0%

67.3-96.0%

67.0-94.3%

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: 99.3%. 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	6	97.1%	99.3%	95.3%	Nicky Waghorne
A	20	93.7%	98.0%	88.7%	Mitchell Hill
B	23	90.0%	96.0%	67.3%	Steven Carter
C	18	82.8%	94.3%	67.0%	Frankie French

Class Composition

6 9.0%

20 29.9%

23 34.3%

18 26.9%

Largest class: B — 23 competitors (34.3%)

Full Results — 67 entries

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

Class AA

Score 298/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 294/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 293/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 293/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 292/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 291/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 291/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 289/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 289/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 288/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 286/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 286/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 286/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 285/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 279/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 279/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 277/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 276/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 276/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 275/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 273/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 273/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 272/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 272/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 271/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 270/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 270/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 269/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 269/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 269/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 268/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 266/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 266/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 265/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 265/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 265/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 263/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 263/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 259/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 259/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 258/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 255/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 244/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 241/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 240/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 239/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 236/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 233/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 225/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 223/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 215/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 202/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 201/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Nicky Waghorne	AA	298/300	99.33%	🔒 1	🔒 +0.0%
2	Mitchell Hill	A	294/300	98.00%	🔒 1	🔒 +0.0%
3=	Billy Chambers	A	293/300	97.67%	🔒 1	🔒 +0.0%
3=	John Malden	A	293/300	97.67%	🔒 1	🔒 +0.0%
5	Eddie Lockwood	AA	292/300	97.33%	🔒 1	🔒 +0.0%
6=	Nick Haley	AA	291/300	97.00%	🔒 1	🔒 +0.0%
6=	Toby Bean	AA	291/300	97.00%	🔒 1	🔒 +0.0%
8=	Frank Welham	AA	289/300	96.33%	🔒 1	🔒 +0.0%
8=	Ian Stagg	A	289/300	96.33%	🔒 1	🔒 +0.0%
10	Steven Carter	B	288/300	96.00%	🔒 1	🔒 +0.0%
11=	David Court	B	287/300	95.67%	🔒 1	🔒 +0.0%
11=	John Foy	A	287/300	95.67%	🔒 1	🔒 +0.0%
13=	Carl Simmons	B	286/300	95.33%	🔒 1	🔒 +0.0%
13=	Junior Haynes	A	286/300	95.33%	🔒 1	🔒 +0.0%
13=	Tom Webb	AA	286/300	95.33%	🔒 1	🔒 +0.0%
16	Thomas Howe	A	285/300	95.00%	🔒 1	🔒 +0.0%
17=	James Smith	A	284/300	94.67%	🔒 1	🔒 +0.0%
17=	John Aldous	B	284/300	94.67%	🔒 1	🔒 +0.0%
17=	Stephen Marsh	B	284/300	94.67%	🔒 1	🔒 +0.0%
20=	Frankie French	C	283/300	94.33%	🔒 1	🔒 +0.0%
20=	Kevin Argent	B	283/300	94.33%	🔒 1	🔒 +0.0%
20=	Mark Burrows	A	283/300	94.33%	🔒 1	🔒 +0.0%
20=	Stuart Abrey	B	283/300	94.33%	🔒 1	🔒 +0.0%
24=	Christopher Hopping	B	281/300	93.67%	🔒 1	🔒 +0.0%
24=	Ian Fennell	A	281/300	93.67%	🔒 1	🔒 +0.0%
24=	Ian Lockwood	A	281/300	93.67%	🔒 1	🔒 +0.0%
24=	Nigel Gilder	A	281/300	93.67%	🔒 1	🔒 +0.0%
24=	Terry Sawyer	B	281/300	93.67%	🔒 1	🔒 +0.0%
29=	Alfred Hardes	C	279/300	93.00%	🔒 1	🔒 +0.0%
29=	Chris Hill	A	279/300	93.00%	🔒 1	🔒 +0.0%
31	Kevin Tyler	A	277/300	92.33%	🔒 1	🔒 +0.0%
32=	Nadine Gilder	A	276/300	92.00%	🔒 1	🔒 +0.0%
32=	Richard Travers	A	276/300	92.00%	🔒 1	🔒 +0.0%
34	Archie Tyler	B	275/300	91.67%	🔒 1	🔒 +0.0%
35=	Ellie Hurd	C	273/300	91.00%	🔒 1	🔒 +0.0%
35=	Emilia Siggers	C	273/300	91.00%	🔒 1	🔒 +0.0%
37=	Janine Travers	B	272/300	90.67%	🔒 1	🔒 +0.0%
37=	Tim Rickard	B	272/300	90.67%	🔒 1	🔒 +0.0%
39	Gary Bridger	A	271/300	90.33%	🔒 1	🔒 +0.0%
40=	Katie Durrant	A	270/300	90.00%	🔒 1	🔒 +0.0%
40=	Robert Arnold	B	270/300	90.00%	🔒 1	🔒 +0.0%
42=	Andrew Whiting	B	269/300	89.67%	🔒 1	🔒 +0.0%
42=	David Amos	B	269/300	89.67%	🔒 1	🔒 +0.0%
42=	Lloyd Bartley	B	269/300	89.67%	🔒 1	🔒 +0.0%
45	Vidas Zilionis	A	268/300	89.33%	🔒 1	🔒 +0.0%
46=	Chun Ng	B	266/300	88.67%	🔒 1	🔒 +0.0%
46=	Nick Havard	A	266/300	88.67%	🔒 1	🔒 +0.0%
48=	Alexander Bull	B	265/300	88.33%	🔒 1	🔒 +0.0%
48=	Brian Oliver	C	265/300	88.33%	🔒 1	🔒 +0.0%
48=	Lindell Buchanan	C	265/300	88.33%	🔒 1	🔒 +0.0%
51=	Les Keys	B	263/300	87.67%	🔒 1	🔒 +0.0%
51=	Victoria Francis	C	263/300	87.67%	🔒 1	🔒 +0.0%
53=	Mr D Fenton	B	259/300	86.33%	🔒 1	🔒 +0.0%
53=	Neil Rodrigues	C	259/300	86.33%	🔒 1	🔒 +0.0%
55	Christine Crouch	C	258/300	86.00%	🔒 1	🔒 +0.0%
56	Derrick Day	B	255/300	85.00%	🔒 1	🔒 +0.0%
57	Fergus Mills	B	244/300	81.33%	🔒 1	🔒 +0.0%
58	Guy Glasscock	C	241/300	80.33%	🔒 1	🔒 +0.0%
59	Darcy Clare	C	240/300	80.00%	🔒 1	🔒 +0.0%
60	Kenneth Barber	C	239/300	79.67%	🔒 1	🔒 +0.0%
61	Paul Dunstane	C	236/300	78.67%	🔒 1	🔒 +0.0%
62	Mr DS Wills	C	233/300	77.67%	🔒 1	🔒 +0.0%
63	Mr DA Stevens	C	225/300	75.00%	🔒 1	🔒 +0.0%
64	Christopher Metcalf	C	223/300	74.33%	🔒 1	🔒 +0.0%
65	Evelyn Groom	C	215/300	71.67%	🔒 1	🔒 +0.0%
66	Stephen Thomas	B	202/300	67.33%	🔒 1	🔒 +0.0%
67	Jeffrey Breeden	C	201/300	67.00%	🔒 1	🔒 +0.0%

Other DTL Events at Mayland & District Gun Club

⚙ Performance Stats DRAG TO MOVE

0.055s ● FAST

DB 52% · Py 33% · Render 15%

12 queries · avg 2.4ms · max 16.6ms

Render Breakdown

DB Logic (Pre-Render) 0.0288s

Python Logic (Pre-Render) 0.0183s

Full Page Render 0.0082s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.018s

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 [02:19:05.122] 16.6ms

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 [02:19:05.125] 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 [02:19:05.129] 1.7ms

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 [02:19:05.132] 1.5ms

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 [02:19:05.133] 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 [02:19:05.135] 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 [02:19:05.137] 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 [02:19:05.139] 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 [02:19:05.140] 1.0ms

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 [02:19:05.142] 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 LIKE %(key_1)s OR site_configuration.key LIKE %(key_2)s

#11 [02:19:05.148] 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 [02:19:05.150] 0.9ms

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 Mayland & District Gun Club

Unlock the full event analysis

Historical Trends at Mayland & 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?