Back to Events

DTL — Down The Line

Down The Line at Mayland & District Gun Club

Mayland & District Gun Club

Sunday, 27 April 2025 · CPSA Results →

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

89.8%

Field Average

99.3%

Highest Score

52.0%

Lowest Score

Top 3 Overall

🥈 =2

Kevin Tyler

Nicky Waghorne

296/300

98.67%

🥇

Toby Bean

298/300

99.33%

Event Difficulty

89.8% This Event

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

↑ +3.1% easier than usual

Ground avg: 86.7%

Score Distribution

90–100%

25 62.5%

80–89%

10 25.0%

70–79%

4 10.0%

60–69%

0 0.0%

50–59%

1 2.5%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

62.5%

25 / 40

80%+

87.5%

35 / 40

70%+

97.5%

39 / 40

60%+

97.5%

39 / 40

50%+

100.0%

40 / 40

Class Breakdown

Class	Count	Average	High	Low	Winner
AA	4	97.7%	99.3%	95.3%	Toby Bean
A	10	95.5%	98.7%	90.3%	Kevin Tyler
B	14	91.3%	96.0%	85.3%	Robert Arnold
C	12	80.8%	95.7%	52.0%	Jane Buy

Class Composition

4 10.0%

10 25.0%

14 35.0%

12 30.0%

Largest class: B — 14 competitors (35.0%)

Class Winners

AA 4 entered

298/300 — 99.33%

Toby Bean

2: Nicky Waghorne — 98.67%

A 10 entered

296/300 — 98.67%

Kevin Tyler

2: Mitchell Hill — 97.67%

B 14 entered

288/300 — 96.00%

Robert Arnold

2=: Archie Tyler — 95.33%

C 12 entered

287/300 — 95.67%

Jane Buy

2: Lindell Buchanan — 89.00%

Full Results — 40 entries

AA Toby Bean

298/300

99.3%

A Kevin Tyler

296/300

98.7%

AA Nicky Waghorne

296/300

98.7%

A Mitchell Hill

293/300

97.7%

AA Harry Lufflum

292/300

97.3%

A Ian Fennell

292/300

97.3%

A Bob Ryan

97/100

97.0%

A George Madden

290/300

96.7%

A John Malden

290/300

96.7%

B Robert Arnold

288/300

96.0%

C Jane Buy

287/300

95.7%

12=

B Archie Tyler

286/300

95.3%

12=

AA Frank Welham

286/300

95.3%

12=

B Mr D Fenton

286/300

95.3%

A Conner Logan

282/300

94.0%

16=

B Fergus Mills

281/300

93.7%

16=

A Nick Havard

281/300

93.7%

18=

B Stephen Marsh

280/300

93.3%

18=

B Terry Sawyer

280/300

93.3%

B Steven Carter

279/300

93.0%

A Ian Stagg

278/300

92.7%

B Carl Simmons

277/300

92.3%

B Andrew Whiting

276/300

92.0%

B David Amos

273/300

91.0%

A Vidas Zilionis

271/300

90.3%

C Lindell Buchanan

267/300

89.0%

C Evelyn Groom

266/300

88.7%

C Brian Oliver

265/300

88.3%

C Alfred Hardes

260/300

86.7%

30=

B Derrick Day

258/300

86.0%

30=

B Stephen Thomas

258/300

86.0%

B Les Keys

257/300

85.7%

B Chun Ng

256/300

85.3%

C Michael Whelan-Smith

255/300

85.0%

C Emilia Siggers

246/300

82.0%

C Mr DS Wills

237/300

79.0%

C Jeffrey Breeden

232/300

77.3%

C Kenneth Barber

228/300

76.0%

C Mr DA Stevens

210/300

70.0%

C Marc Cleveland

156/300

52.0%

#	Name	Class	Score	Score %	Class Rank
1	Toby Bean	AA	298/300	99.33%	1
2=	Kevin Tyler	A	296/300	98.67%	1
2=	Nicky Waghorne	AA	296/300	98.67%	2
4	Mitchell Hill	A	293/300	97.67%	2
5=	Harry Lufflum	AA	292/300	97.33%	3
5=	Ian Fennell	A	292/300	97.33%	3
7	Bob Ryan	A	97/100	97.00%	4
8=	George Madden	A	290/300	96.67%	5=
8=	John Malden	A	290/300	96.67%	5=
10	Robert Arnold	B	288/300	96.00%	1
11	Jane Buy	C	287/300	95.67%	1
12=	Archie Tyler	B	286/300	95.33%	2=
12=	Frank Welham	AA	286/300	95.33%	4
12=	Mr D Fenton	B	286/300	95.33%	2=
15	Conner Logan	A	282/300	94.00%	7
16=	Fergus Mills	B	281/300	93.67%	4
16=	Nick Havard	A	281/300	93.67%	8
18=	Stephen Marsh	B	280/300	93.33%	5=
18=	Terry Sawyer	B	280/300	93.33%	5=
20	Steven Carter	B	279/300	93.00%	7
21	Ian Stagg	A	278/300	92.67%	9
22	Carl Simmons	B	277/300	92.33%	8
23	Andrew Whiting	B	276/300	92.00%	9
24	David Amos	B	273/300	91.00%	10
25	Vidas Zilionis	A	271/300	90.33%	10
26	Lindell Buchanan	C	267/300	89.00%	2
27	Evelyn Groom	C	266/300	88.67%	3
28	Brian Oliver	C	265/300	88.33%	4
29	Alfred Hardes	C	260/300	86.67%	5
30=	Derrick Day	B	258/300	86.00%	11=
30=	Stephen Thomas	B	258/300	86.00%	11=
32	Les Keys	B	257/300	85.67%	13
33	Chun Ng	B	256/300	85.33%	14
34	Michael Whelan-Smith	C	255/300	85.00%	6
35	Emilia Siggers	C	246/300	82.00%	7
36	Mr DS Wills	C	237/300	79.00%	8
37	Jeffrey Breeden	C	232/300	77.33%	9
38	Kenneth Barber	C	228/300	76.00%	10
39	Mr DA Stevens	C	210/300	70.00%	11
40	Marc Cleveland	C	156/300	52.00%	12

Other DTL Events at Mayland & District Gun Club

⚙ Performance Stats DRAG TO MOVE

0.034s ● FAST

DB 48% · Py 35% · Render 17%

11 queries · avg 1.5ms · max 4.5ms

Render Breakdown

DB Logic (Pre-Render) 0.0164s

Python Logic (Pre-Render) 0.0121s

Full Page Render 0.0059s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

shoot_event 2× 0.006s

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 [02:10:14.752] 4.5ms

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_…

#2 [02:10:14.755] 2.1ms

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 [02:10:14.760] 1.8ms

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 [02:10:14.762] 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 [02:10:14.764] 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 [02:10:14.765] 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 [02:10:14.767] 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 [02:10:14.768] 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 [02:10:14.770] 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

#10 [02:10:14.772] 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 [02:10:14.773] 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

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?