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FSP — FITASC Sporting

FITASC Sporting at Sporting Targets Ltd

Sporting Targets Ltd

Monday, 04 May 2026 · CPSA Results →

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Event Rating

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Entries

72.2%

Field Average

89.0%

Highest Score

45.0%

Lowest Score

Top 3 Overall

🥉 =3

Chris Baker

Harry Minkley

Ian Lockwood

Stuart Clarke

88/100

88.00%

🥇 =1

Benjamin Jordan

Harry Dickens

89/100

89.00%

Event Difficulty

72.2% This Event

vs. Sporting Targets Ltd historical average (FITASC Sporting)

↓ -5.5% harder than usual

Ground avg: 77.7%

Class Winners

A 13 entered

89/100 — 89.00%

Benjamin Jordan(tied) Harry Dickens(tied)

3: Stuart Clarke — 88.00%

B 15 entered

88/100 — 88.00%

Chris Baker(tied) Harry Minkley(tied) Ian Lockwood(tied)

4: Geoffrey Burton — 83.00%

C 7 entered

83/100 — 83.00%

Tristan Yeomans

2: Stephen Leonard — 82.00%

D 20 entered

74/100 — 74.00%

Thomas Massey

2=: Katie Durrant — 72.00%

Other 3 entered

76/100 — 76.00%

Arthur Lomas

2: Oliver Moore — 71.00%

Field Shape

72.2%

Field avg

FITASC Sporting at Sporting Targets Ltd had a 44.0 point scoring spread across 58 entries.

Spread 44.0 pts

Front 89.0%

Largest class D

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

Score Distribution

90–100%

0 0.0%

80–89%

15 25.9%

70–79%

23 39.7%

60–69%

11 19.0%

50–59%

7 12.1%

<50%

2 3.4%

Field Achievement

% of competitors reaching each score threshold

90%+

0 / 58

80%+

25.9%

15 / 58

70%+

65.5%

38 / 58

60%+

84.5%

49 / 58

50%+

96.6%

56 / 58

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 Sporting Targets Ltd

FITASC Sporting performance across events held at this ground.

Last 12 months

Overall Average Trend

Classification Trend Comparison

Classification Deep Dive

4 active classifications

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Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

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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

75.0-89.0%

59.0-88.0%

63.0-83.0%

45.0-74.0%

Other

60.0-76.0%

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: 89.0%. 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	13	82.7%	89.0%	75.0%	Benjamin Jordan
B	15	76.5%	88.0%	59.0%	Chris Baker
C	7	75.3%	83.0%	63.0%	Tristan Yeomans
D	20	61.7%	74.0%	45.0%	Thomas Massey
Other	3	69.0%	76.0%	60.0%	Arthur Lomas

Class Composition

13 22.4%

15 25.9%

7 12.1%

20 34.5%

Other

3 5.2%

Largest class: D — 20 competitors (34.5%)

Full Results — 58 entries

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

Class A

Score 89/100

vs Class Avg +0.0%

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Class A

Score 89/100

vs Class Avg +0.0%

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Class B

Score 88/100

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Class B

Score 88/100

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Class B

Score 88/100

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Class A

Score 88/100

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Class A

Score 86/100

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Class A

Score 86/100

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Class A

Score 86/100

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Class A

Score 83/100

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Class B

Score 83/100

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Class C

Score 83/100

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Class C

Score 82/100

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Class A

Score 81/100

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Class B

Score 80/100

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Class A

Score 79/100

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Class C

Score 78/100

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Class B

Score 78/100

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Class B

Score 78/100

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Class A

Score 78/100

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Class A

Score 78/100

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Class C

Score 78/100

vs Class Avg +0.0%

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Class A

Score 77/100

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Class B

Score 77/100

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Class B

Score 76/100

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Class Unknown

Score 76/100

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Class B

Score 76/100

vs Class Avg +0.0%

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Class A

Score 75/100

vs Class Avg +0.0%

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Class D

Score 74/100

vs Class Avg +0.0%

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Class C

Score 73/100

vs Class Avg +0.0%

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Class D

Score 72/100

vs Class Avg +0.0%

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Class D

Score 72/100

vs Class Avg +0.0%

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Class D

Score 71/100

vs Class Avg +0.0%

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Class Unknown

Score 71/100

vs Class Avg +0.0%

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Class D

Score 71/100

vs Class Avg +0.0%

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Class C

Score 70/100

vs Class Avg +0.0%

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Class B

Score 70/100

vs Class Avg +0.0%

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Class B

Score 70/100

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Class D

Score 69/100

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Class B

Score 68/100

vs Class Avg +0.0%

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Class B

Score 68/100

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Class D

Score 66/100

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Class D

Score 66/100

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Class C

Score 63/100

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Class D

Score 62/100

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Class D

Score 62/100

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Class D

Score 60/100

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Class Unknown

Score 60/100

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Class D

Score 60/100

vs Class Avg +0.0%

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Class D

Score 59/100

vs Class Avg +0.0%

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Class B

Score 59/100

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Class D

Score 58/100

vs Class Avg +0.0%

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Class D

Score 56/100

vs Class Avg +0.0%

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Class D

Score 56/100

vs Class Avg +0.0%

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Class D

Score 55/100

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Class D

Score 51/100

vs Class Avg +0.0%

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Class D

Score 49/100

vs Class Avg +0.0%

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Class D

Score 45/100

vs Class Avg +0.0%

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#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	Benjamin Jordan	A	89/100	89.00%	🔒 1	🔒 +0.0%
1=	Harry Dickens	A	89/100	89.00%	🔒 1	🔒 +0.0%
3=	Chris Baker	B	88/100	88.00%	🔒 1	🔒 +0.0%
3=	Harry Minkley	B	88/100	88.00%	🔒 1	🔒 +0.0%
3=	Ian Lockwood	B	88/100	88.00%	🔒 1	🔒 +0.0%
3=	Stuart Clarke	A	88/100	88.00%	🔒 1	🔒 +0.0%
7=	Andrew Clifton	A	86/100	86.00%	🔒 1	🔒 +0.0%
7=	Clive Scase	A	86/100	86.00%	🔒 1	🔒 +0.0%
7=	Robert Russell	A	86/100	86.00%	🔒 1	🔒 +0.0%
10=	Andrew Coppen	A	83/100	83.00%	🔒 1	🔒 +0.0%
10=	Geoffrey Burton	B	83/100	83.00%	🔒 1	🔒 +0.0%
10=	Tristan Yeomans	C	83/100	83.00%	🔒 1	🔒 +0.0%
13	Stephen Leonard	C	82/100	82.00%	🔒 1	🔒 +0.0%
14	Georgia Moule	A	81/100	81.00%	🔒 1	🔒 +0.0%
15	Max Daniel	B	80/100	80.00%	🔒 1	🔒 +0.0%
16	Tom Banks	A	79/100	79.00%	🔒 1	🔒 +0.0%
17=	Alex Smith	C	78/100	78.00%	🔒 1	🔒 +0.0%
17=	Becky Clifton	B	78/100	78.00%	🔒 1	🔒 +0.0%
17=	Daryl Vas	B	78/100	78.00%	🔒 1	🔒 +0.0%
17=	Ivan Spencer	A	78/100	78.00%	🔒 1	🔒 +0.0%
17=	Robert Allen	A	78/100	78.00%	🔒 1	🔒 +0.0%
17=	Tony Leonard	C	78/100	78.00%	🔒 1	🔒 +0.0%
23=	Bert Mason	A	77/100	77.00%	🔒 1	🔒 +0.0%
23=	Colin Meeks	B	77/100	77.00%	🔒 1	🔒 +0.0%
25=	Adrian Cook	B	76/100	76.00%	🔒 1	🔒 +0.0%
25=	Arthur Lomas	Unknown	76/100	76.00%	🔒 1	🔒 +0.0%
25=	Rob Reynolds	B	76/100	76.00%	🔒 1	🔒 +0.0%
28	Stephen Whinnett	A	75/100	75.00%	🔒 1	🔒 +0.0%
29	Thomas Massey	D	74/100	74.00%	🔒 1	🔒 +0.0%
30	Josh Bellett	C	73/100	73.00%	🔒 1	🔒 +0.0%
31=	Katie Durrant	D	72/100	72.00%	🔒 1	🔒 +0.0%
31=	Tony Woodrow	D	72/100	72.00%	🔒 1	🔒 +0.0%
33=	Joshua Allen	D	71/100	71.00%	🔒 1	🔒 +0.0%
33=	Oliver Moore	Unknown	71/100	71.00%	🔒 1	🔒 +0.0%
33=	Wayne Porter	D	71/100	71.00%	🔒 1	🔒 +0.0%
36=	Maximus Allen	C	70/100	70.00%	🔒 1	🔒 +0.0%
36=	Pip Bayley	B	70/100	70.00%	🔒 1	🔒 +0.0%
36=	Robert Battaglia	B	70/100	70.00%	🔒 1	🔒 +0.0%
39	Daniel Parker	D	69/100	69.00%	🔒 1	🔒 +0.0%
40=	Alex Higgs	B	68/100	68.00%	🔒 1	🔒 +0.0%
40=	Gordon Webster	B	68/100	68.00%	🔒 1	🔒 +0.0%
42=	Bradley Crick	D	66/100	66.00%	🔒 1	🔒 +0.0%
42=	Steve Rickett	D	66/100	66.00%	🔒 1	🔒 +0.0%
44	Angus Brown	C	63/100	63.00%	🔒 1	🔒 +0.0%
45=	Adrian Choolun	D	62/100	62.00%	🔒 1	🔒 +0.0%
45=	Bob Meadows	D	62/100	62.00%	🔒 1	🔒 +0.0%
47=	Mark Burrows	D	60/100	60.00%	🔒 1	🔒 +0.0%
47=	Michael Moore	Unknown	60/100	60.00%	🔒 1	🔒 +0.0%
47=	Stephen Miller	D	60/100	60.00%	🔒 1	🔒 +0.0%
50=	Jim Grant	D	59/100	59.00%	🔒 1	🔒 +0.0%
50=	William Hillier	B	59/100	59.00%	🔒 1	🔒 +0.0%
52	Robert Francis	D	58/100	58.00%	🔒 1	🔒 +0.0%
53=	Graham Carter	D	56/100	56.00%	🔒 1	🔒 +0.0%
53=	John Foord	D	56/100	56.00%	🔒 1	🔒 +0.0%
55	Anne Marie Shepherd	D	55/100	55.00%	🔒 1	🔒 +0.0%
56	Keith Bailey	D	51/100	51.00%	🔒 1	🔒 +0.0%
57	Meghan Ryan	D	49/100	49.00%	🔒 1	🔒 +0.0%
58	Michael Dowd	D	45/100	45.00%	🔒 1	🔒 +0.0%

Other FSP Events at Sporting Targets Ltd

⚙ Performance Stats DRAG TO MOVE

0.031s ● FAST

DB 41% · Py 40% · Render 18%

12 queries · avg 1.1ms · max 1.7ms

Render Breakdown

DB Logic (Pre-Render) 0.0127s

Python Logic (Pre-Render) 0.0123s

Full Page Render 0.0056s

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 [00:35:35.459] 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 [00:35:35.461] 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 [00:35:35.465] 1.6ms

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 [00:35:35.467] 1.2ms

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 [00:35:35.469] 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 [00:35:35.470] 0.9ms

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 [00:35:35.472] 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 [00:35:35.473] 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 [00:35:35.475] 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 [00:35:35.476] 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 [00:35:35.478] 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 [00:35:35.479] 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

FITASC Sporting at Sporting Targets Ltd

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