Back to Events

DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Saturday, 26 June 2021 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

94.7%

Field Average

99.0%

Highest Score

78.0%

Lowest Score

Top 3 Overall

🥇 =1

Emma Holden Hardy

Paul Neal

Toby Bean

297/300

99.00%

Event Difficulty

94.7% This Event

vs. Brook Bank historical average (Down The Line)

↑ +3.8% easier than usual

Ground avg: 90.9%

Class Winners

AA 32 entered

297/300 — 99.00%

Emma Holden Hardy(tied) Paul Neal(tied) Toby Bean(tied)

4=: David Weston — 98.67%

A 37 entered

294/300 — 98.00%

Jeremy Ayshford

2: Mark Stamper — 97.67%

B 6 entered

287/300 — 95.67%

Stephen Petch

2: Jane Hitchmough — 93.00%

C 5 entered

284/300 — 94.67%

Charlotte Morris(tied) Lorrie Greening(tied) William Canter(tied)

4: Joanna Fairclough — 89.33%

Field Shape

94.7%

Field avg

Down The Line at Brook Bank had a 21.0 point scoring spread across 80 entries.

Spread 21.0 pts

Front 99.0%

Largest class A

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

Score Distribution

90–100%

73 91.2%

80–89%

6 7.5%

70–79%

1 1.2%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

91.2%

73 / 80

80%+

98.8%

79 / 80

70%+

100.0%

80 / 80

60%+

100.0%

80 / 80

50%+

100.0%

80 / 80

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 Brook Bank

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

92.7-99.0%

85.3-98.0%

87.0-95.7%

78.0-94.7%

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: 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	32	97.0%	99.0%	92.7%	Emma Holden Hardy
A	37	94.0%	98.0%	85.3%	Jeremy Ayshford
B	6	90.6%	95.7%	87.0%	Stephen Petch
C	5	90.3%	94.7%	78.0%	Charlotte Morris

Class Composition

32 40.0%

37 46.2%

6 7.5%

5 6.2%

Largest class: A — 37 competitors (46.2%)

Full Results — 80 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 297/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 297/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 296/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 296/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 295/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 295/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 295/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 295/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 294/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 294/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 294/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 293/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 293/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 293/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 292/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 292/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 292/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 292/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 292/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 292/300

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 A

Score 290/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 290/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 290/300

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 AA

Score 289/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 289/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 288/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 286/300

vs Class Avg +0.0%

Profile Open →

Class A

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 AA

Score 285/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 282/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 282/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class AA

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 280/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 280/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 280/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 279/300

vs Class Avg +0.0%

Profile Open →

Class B

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 279/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 278/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 278/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 278/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 276/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 275/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 273/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 270/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 270/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 269/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 268/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 264/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 263/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 261/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 256/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 234/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 98/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 97/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	Emma Holden Hardy	AA	297/300	99.00%	🔒 1	🔒 +0.0%
1=	Paul Neal	AA	297/300	99.00%	🔒 1	🔒 +0.0%
1=	Toby Bean	AA	297/300	99.00%	🔒 1	🔒 +0.0%
4=	David Weston	AA	296/300	98.67%	🔒 1	🔒 +0.0%
4=	Robert Haines	AA	296/300	98.67%	🔒 1	🔒 +0.0%
6=	Geoffrey Howlett	AA	295/300	98.33%	🔒 1	🔒 +0.0%
6=	Gerrald Sweet	AA	295/300	98.33%	🔒 1	🔒 +0.0%
6=	Nicky Waghorne	AA	295/300	98.33%	🔒 1	🔒 +0.0%
6=	Robert Dietz	AA	295/300	98.33%	🔒 1	🔒 +0.0%
10=	Curtis Woolley	AA	294/300	98.00%	🔒 1	🔒 +0.0%
10=	Jeremy Ayshford	A	294/300	98.00%	🔒 1	🔒 +0.0%
10=	Peter Relph	AA	294/300	98.00%	🔒 1	🔒 +0.0%
13=	Ian Biggins	AA	293/300	97.67%	🔒 1	🔒 +0.0%
13=	John Barnett	AA	293/300	97.67%	🔒 1	🔒 +0.0%
13=	Mark Stamper	A	293/300	97.67%	🔒 1	🔒 +0.0%
16=	Clive Weston	A	292/300	97.33%	🔒 1	🔒 +0.0%
16=	Daniel Price	AA	292/300	97.33%	🔒 1	🔒 +0.0%
16=	George Turnes	A	292/300	97.33%	🔒 1	🔒 +0.0%
16=	Ian Moore	AA	292/300	97.33%	🔒 1	🔒 +0.0%
16=	Lewis Holden	AA	292/300	97.33%	🔒 1	🔒 +0.0%
16=	Mathew Paley	AA	292/300	97.33%	🔒 1	🔒 +0.0%
16=	Paul Meakin	AA	292/300	97.33%	🔒 1	🔒 +0.0%
23	Christopher Moule	AA	291/300	97.00%	🔒 1	🔒 +0.0%
24=	Edward Collett	A	290/300	96.67%	🔒 1	🔒 +0.0%
24=	Paul Cannon	A	290/300	96.67%	🔒 1	🔒 +0.0%
24=	Shaun Gardener	AA	290/300	96.67%	🔒 1	🔒 +0.0%
27=	Andrew Greenstock	AA	289/300	96.33%	🔒 1	🔒 +0.0%
27=	Cory Doble	A	289/300	96.33%	🔒 1	🔒 +0.0%
27=	Maurice Beedan	AA	289/300	96.33%	🔒 1	🔒 +0.0%
27=	Mike Hartley	AA	289/300	96.33%	🔒 1	🔒 +0.0%
31	Cliff Pain	A	288/300	96.00%	🔒 1	🔒 +0.0%
32=	Adrian Parish	AA	287/300	95.67%	🔒 1	🔒 +0.0%
32=	John Titterington	A	287/300	95.67%	🔒 1	🔒 +0.0%
32=	Nick Haley	AA	287/300	95.67%	🔒 1	🔒 +0.0%
32=	Stephen Petch	B	287/300	95.67%	🔒 1	🔒 +0.0%
36=	Anthony Dore	AA	286/300	95.33%	🔒 1	🔒 +0.0%
36=	David Priestman	A	286/300	95.33%	🔒 1	🔒 +0.0%
36=	Malcolm Brown	A	286/300	95.33%	🔒 1	🔒 +0.0%
36=	Mark Shaw	AA	286/300	95.33%	🔒 1	🔒 +0.0%
40=	Lee Wilcoxson	A	285/300	95.00%	🔒 1	🔒 +0.0%
40=	Richard Chapple	AA	285/300	95.00%	🔒 1	🔒 +0.0%
42=	Charlotte Morris	C	284/300	94.67%	🔒 1	🔒 +0.0%
42=	Darren Watkinson	A	284/300	94.67%	🔒 1	🔒 +0.0%
42=	Garry Sayles	A	284/300	94.67%	🔒 1	🔒 +0.0%
42=	Ian Douglas	A	284/300	94.67%	🔒 1	🔒 +0.0%
42=	Karl Weaver	A	284/300	94.67%	🔒 1	🔒 +0.0%
42=	Lorrie Greening	C	284/300	94.67%	🔒 1	🔒 +0.0%
42=	Paul Sant	A	284/300	94.67%	🔒 1	🔒 +0.0%
42=	William Canter	C	284/300	94.67%	🔒 1	🔒 +0.0%
50=	Christopher Jones	A	283/300	94.33%	🔒 1	🔒 +0.0%
50=	Graham Taylor	A	283/300	94.33%	🔒 1	🔒 +0.0%
52=	Leon Gill	A	282/300	94.00%	🔒 1	🔒 +0.0%
52=	Neil Fowler	AA	282/300	94.00%	🔒 1	🔒 +0.0%
54=	Charlotte Kitchen	A	281/300	93.67%	🔒 1	🔒 +0.0%
54=	Nigel Chapman	AA	281/300	93.67%	🔒 1	🔒 +0.0%
54=	Oliver Sampson	A	281/300	93.67%	🔒 1	🔒 +0.0%
57=	Geoffrey Nutter	A	280/300	93.33%	🔒 1	🔒 +0.0%
57=	Jack Ruane	A	280/300	93.33%	🔒 1	🔒 +0.0%
57=	Shaun Pullman	A	280/300	93.33%	🔒 1	🔒 +0.0%
60=	Anthony Paley	A	279/300	93.00%	🔒 1	🔒 +0.0%
60=	Jane Hitchmough	B	279/300	93.00%	🔒 1	🔒 +0.0%
60=	Paul Osborne	A	279/300	93.00%	🔒 1	🔒 +0.0%
60=	Steven Price	A	279/300	93.00%	🔒 1	🔒 +0.0%
64=	David Taberner	A	278/300	92.67%	🔒 1	🔒 +0.0%
64=	John Adams	AA	278/300	92.67%	🔒 1	🔒 +0.0%
64=	Peter Bugler	A	278/300	92.67%	🔒 1	🔒 +0.0%
67	Chris Bushell	A	276/300	92.00%	🔒 1	🔒 +0.0%
68	Mark Baker	A	275/300	91.67%	🔒 1	🔒 +0.0%
69	David Magill	A	273/300	91.00%	🔒 1	🔒 +0.0%
70=	Christian Taplin	B	270/300	90.00%	🔒 1	🔒 +0.0%
70=	Stephen Fiddler	A	270/300	90.00%	🔒 1	🔒 +0.0%
72	Karen Allen	B	269/300	89.67%	🔒 1	🔒 +0.0%
73	Joanna Fairclough	C	268/300	89.33%	🔒 1	🔒 +0.0%
74	Sarah Milroy	B	264/300	88.00%	🔒 1	🔒 +0.0%
75	John Bradnam	A	263/300	87.67%	🔒 1	🔒 +0.0%
76	Saira Boardman	B	261/300	87.00%	🔒 1	🔒 +0.0%
77	Toby Hurstfield	A	256/300	85.33%	🔒 1	🔒 +0.0%
78	Jeannette Bushell	C	234/300	78.00%	🔒 1	🔒 +0.0%
79	Martin Jeminson	AA	98/100	98.00%	🔒 1	🔒 +0.0%
80	Stephen Kirby	A	97/100	97.00%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.029s ● FAST

DB 43% · Py 35% · Render 22%

12 queries · avg 1.0ms · max 1.7ms

Render Breakdown

DB Logic (Pre-Render) 0.0124s

Python Logic (Pre-Render) 0.0103s

Full Page Render 0.0064s

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 [00:15:38.980] 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 [00:15:38.982] 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 [00:15:38.987] 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 [00:15:38.988] 1.0ms

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_…

#5 [00:15:38.990] 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 [00:15:38.991] 0.8ms

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 [00:15:38.993] 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…

#8 [00:15:38.994] 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 [00:15:38.995] 0.9ms

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 [00:15:38.996] 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 [00:15:38.998] 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 [00:15:38.999] 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 Brook Bank

Unlock the full event analysis

Historical Trends at Brook Bank

Classification Deep Dive

Event Performance Analysis

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?