Back to Events

DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Sunday, 11 January 2015 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

92.5%

Field Average

96.3%

Highest Score

85.7%

Lowest Score

Top 3 Overall

🥈

Anthony Read

288/300

96.00%

🥇

Philip Lamb

289/300

96.33%

🥉

John Bradnam

287/300

95.67%

Event Difficulty

92.5% This Event

vs. Brook Bank historical average (Down The Line)

↑ +1.2% easier than usual

Ground avg: 91.3%

Class Winners

A 5 entered

289/300 — 96.33%

Philip Lamb

2: Anthony Read — 96.00%

B 5 entered

284/300 — 94.67%

George Parsons(tied) Robert Mulliner(tied)

3: Andrew Bawden — 94.33%

C 4 entered

272/300 — 90.67%

Ollie Hambly

2: Elizabeth Mulliner — 85.67%

Field Shape

92.5%

Field avg

Down The Line at Brook Bank had a 10.6 point scoring spread across 14 entries.

Spread 10.6 pts

Front 96.3%

Largest class A

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

Score Distribution

90–100%

11 78.6%

80–89%

3 21.4%

70–79%

0 0.0%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

78.6%

11 / 14

80%+

100.0%

14 / 14

70%+

100.0%

14 / 14

60%+

100.0%

14 / 14

50%+

100.0%

14 / 14

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

3 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)—

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

88.3-96.3%

90.0-94.7%

85.7-96.0%

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: 96.3%. 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
A	5	93.2%	96.3%	88.3%	Philip Lamb
B	5	93.2%	94.7%	90.0%	George Parsons
C	4	90.8%	96.0%	85.7%	Ollie Hambly

Class Composition

5 35.7%

4 28.6%

Largest class: A — 5 competitors (35.7%)

Full Results — 14 entries

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

Class A

Score 289/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 288/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 287/300

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 B

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 277/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 272/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 270/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 269/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 265/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 257/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 96/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 91/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Philip Lamb	A	289/300	96.33%	🔒 1	🔒 +0.0%
2	Anthony Read	A	288/300	96.00%	🔒 1	🔒 +0.0%
3	John Bradnam	A	287/300	95.67%	🔒 1	🔒 +0.0%
4=	George Parsons	B	284/300	94.67%	🔒 1	🔒 +0.0%
4=	Robert Mulliner	B	284/300	94.67%	🔒 1	🔒 +0.0%
6	Andrew Bawden	B	283/300	94.33%	🔒 1	🔒 +0.0%
7	Jonathon Mock	B	277/300	92.33%	🔒 1	🔒 +0.0%
8	Ollie Hambly	C	272/300	90.67%	🔒 1	🔒 +0.0%
9	Terry Poore	B	270/300	90.00%	🔒 1	🔒 +0.0%
10	Roger Fox	A	269/300	89.67%	🔒 1	🔒 +0.0%
11	Theo Ling	A	265/300	88.33%	🔒 1	🔒 +0.0%
12	Elizabeth Mulliner	C	257/300	85.67%	🔒 1	🔒 +0.0%
13	Amanda Gallagher	C	96/100	96.00%	🔒 1	🔒 +0.0%
14	Alex Foss	C	91/100	91.00%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.029s ● FAST

DB 48% · Py 41% · Render 11%

12 queries · avg 1.2ms · max 1.7ms

Render Breakdown

DB Logic (Pre-Render) 0.0140s

Python Logic (Pre-Render) 0.0121s

Full Page Render 0.0032s

QUERY TABLES ▾

⚠ event_review 4× 0.004s

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 [00:14:52.189] 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 [00:14:52.192] 1.3ms

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 [00:14:52.195] 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 [00:14:52.197] 1.1ms

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 [00:14:52.198] 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 [00:14:52.200] 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 [00:14:52.201] 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 [00:14:52.203] 1.2ms

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 [00:14:52.205] 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 [00:14:52.206] 1.1ms

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 [00:14:52.208] 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 [00:14:52.209] 1.5ms

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?