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ABT — Automatic Ball Trap

Automatic Ball Trap at Spennymoor & District C.P.C

Spennymoor & District C.P.C

Sunday, 21 June 2026 · CPSA Results →

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Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

77.4%

Field Average

92.0%

Highest Score

52.0%

Lowest Score

Top 3 Overall

🥈

Neville Tarren

45/50

90.00%

🥇

Ian Mullarkey

46/50

92.00%

🥉 =3

Geoff Barker

Richard Henry

43/50

86.00%

Event Difficulty

77.4% This Event

vs. Spennymoor & District C.P.C historical average (Automatic Ball Trap)

↑ +2.5% easier than usual

Ground avg: 74.9%

Class Winners

A 4 entered

46/50 — 92.00%

Ian Mullarkey

2: Geoff Barker — 86.00%

B 2 entered

43/50 — 86.00%

Richard Henry

2: George Turnes — 78.00%

C 2 entered

45/50 — 90.00%

Neville Tarren

2: John Wilkinson — 82.00%

D 5 entered

39/50 — 78.00%

Nathon Wilton

2: Eric Hillary — 76.00%

Field Shape

77.4%

Field avg

Automatic Ball Trap at Spennymoor & District C.P.C had a 40.0 point scoring spread across 13 entries.

Spread 40.0 pts

Front 92.0%

Largest class D

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

Score Distribution

90–100%

2 15.4%

80–89%

4 30.8%

70–79%

5 38.5%

60–69%

1 7.7%

50–59%

1 7.7%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

15.4%

2 / 13

80%+

46.2%

6 / 13

70%+

84.6%

11 / 13

60%+

92.3%

12 / 13

50%+

100.0%

13 / 13

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

Historical Trends at Spennymoor & District C.P.C

Automatic Ball Trap 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

70.0-92.0%

78.0-86.0%

82.0-90.0%

52.0-78.0%

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: 92.0%. 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
A	4	82.5%	92.0%	70.0%	Ian Mullarkey
B	2	82.0%	86.0%	78.0%	Richard Henry
C	2	86.0%	90.0%	82.0%	Neville Tarren
D	5	68.0%	78.0%	52.0%	Nathon Wilton

Class Composition

4 30.8%

2 15.4%

5 38.5%

Largest class: D — 5 competitors (38.5%)

Full Results — 13 entries

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

Class A

Score 46/50

vs Class Avg +0.0%

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Class C

Score 45/50

vs Class Avg +0.0%

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Class A

Score 43/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 43/50

vs Class Avg +0.0%

Profile Open →

Class A

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class C

Score 41/50

vs Class Avg +0.0%

Profile Open →

Class B

Score 39/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 39/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 38/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 36/50

vs Class Avg +0.0%

Profile Open →

Class A

Score 35/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 31/50

vs Class Avg +0.0%

Profile Open →

Class D

Score 26/50

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Ian Mullarkey	A	46/50	92.00%	🔒 1	🔒 +0.0%
2	Neville Tarren	C	45/50	90.00%	🔒 1	🔒 +0.0%
3=	Geoff Barker	A	43/50	86.00%	🔒 1	🔒 +0.0%
3=	Richard Henry	B	43/50	86.00%	🔒 1	🔒 +0.0%
5=	David Priestman	A	41/50	82.00%	🔒 1	🔒 +0.0%
5=	John Wilkinson	C	41/50	82.00%	🔒 1	🔒 +0.0%
7=	George Turnes	B	39/50	78.00%	🔒 1	🔒 +0.0%
7=	Nathon Wilton	D	39/50	78.00%	🔒 1	🔒 +0.0%
9	Eric Hillary	D	38/50	76.00%	🔒 1	🔒 +0.0%
10	Peter Kell	D	36/50	72.00%	🔒 1	🔒 +0.0%
11	Neil Midgley	A	35/50	70.00%	🔒 1	🔒 +0.0%
12	John Bland	D	31/50	62.00%	🔒 1	🔒 +0.0%
13	Christopher Henshaw	D	26/50	52.00%	🔒 1	🔒 +0.0%

Other ABT Events at Spennymoor & District C.P.C

⚙ Performance Stats DRAG TO MOVE

0.027s ● FAST

DB 47% · Py 41% · Render 12%

12 queries · avg 1.0ms · max 1.8ms

Render Breakdown

DB Logic (Pre-Render) 0.0124s

Python Logic (Pre-Render) 0.0109s

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 [00:15:44.792] 1.8ms

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 [00:15:44.794] 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 [00:15:44.797] 1.3ms

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 [00:15:44.799] 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 [00:15:44.800] 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 [00:15:44.802] 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 [00:15:44.803] 1.1ms

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 [00:15:44.805] 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 [00:15:44.806] 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 [00:15:44.807] 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 [00:15:44.809] 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 [00:15:44.810] 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

Automatic Ball Trap at Spennymoor & District C.P.C

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Historical Trends at Spennymoor & District C.P.C

Classification Deep Dive

Event Performance Analysis

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