Back to Events

FSP — FITASC Sporting

FITASC Sporting at Sporting Targets Ltd

Sporting Targets Ltd

Friday, 27 January 2017 · CPSA Results →

Weather loading...

Event Rating

Latest Visitor Reviews

No written reviews yet.

Entries

80.3%

Field Average

95.0%

Highest Score

63.0%

Lowest Score

Top 3 Overall

🥉

Tony Leonard

91/100

91.00%

🥇 =1

Paul Lovick

Steve Brightwell

95/100

95.00%

Event Difficulty

80.3% This Event

vs. Sporting Targets Ltd historical average (FITASC Sporting)

↑ +2.9% easier than usual

Ground avg: 77.4%

Class Winners

A 5 entered

95/100 — 95.00%

Paul Lovick(tied) Steve Brightwell(tied)

3: Andrew Clifton — 90.00%

B 12 entered

90/100 — 90.00%

Colin Saich

2: Ian Schwier — 89.00%

C 12 entered

91/100 — 91.00%

Tony Leonard

2: Joseph De Mulder — 86.00%

D 8 entered

79/100 — 79.00%

Leon Jaeggi

2=: Chris Osborn — 77.00%

Other 1 entered

74/100 — 74.00%

Alen Robinson

Field Shape

80.3%

Field avg

FITASC Sporting at Sporting Targets Ltd had a 32.0 point scoring spread across 38 entries.

Spread 32.0 pts

Front 95.0%

Largest class B

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

Score Distribution

90–100%

5 13.2%

80–89%

16 42.1%

70–79%

13 34.2%

60–69%

4 10.5%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

13.2%

5 / 38

80%+

55.3%

21 / 38

70%+

89.5%

34 / 38

60%+

100.0%

38 / 38

50%+

100.0%

38 / 38

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

—

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

81.0-95.0%

63.0-90.0%

70.0-91.0%

65.0-79.0%

Other

74.0-74.0%

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: 95.0%. 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	5	90.0%	95.0%	81.0%	Paul Lovick
B	12	82.4%	90.0%	63.0%	Colin Saich
C	12	79.6%	91.0%	70.0%	Tony Leonard
D	8	72.9%	79.0%	65.0%	Leon Jaeggi
Other	1	74.0%	74.0%	74.0%	Alen Robinson

Class Composition

5 13.2%

12 31.6%

8 21.1%

Other

1 2.6%

Largest class: B — 12 competitors (31.6%)

Full Results — 38 entries

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

Class A

Score 95/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 95/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 91/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 90/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 89/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 89/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 88/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 86/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 85/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 84/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 83/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 83/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 83/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 82/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 82/100

vs Class Avg +0.0%

Profile Open →

Class A

Score 81/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 81/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 80/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 79/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 77/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 76/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 75/100

vs Class Avg +0.0%

Profile Open →

Class Unknown

Score 74/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 74/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 74/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 73/100

vs Class Avg +0.0%

Profile Open →

Class C

Score 70/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 68/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 66/100

vs Class Avg +0.0%

Profile Open →

Class D

Score 65/100

vs Class Avg +0.0%

Profile Open →

Class B

Score 63/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1=	Paul Lovick	A	95/100	95.00%	🔒 1	🔒 +0.0%
1=	Steve Brightwell	A	95/100	95.00%	🔒 1	🔒 +0.0%
3	Tony Leonard	C	91/100	91.00%	🔒 1	🔒 +0.0%
4=	Andrew Clifton	A	90/100	90.00%	🔒 1	🔒 +0.0%
4=	Colin Saich	B	90/100	90.00%	🔒 1	🔒 +0.0%
6=	Ian Schwier	B	89/100	89.00%	🔒 1	🔒 +0.0%
6=	John Wells	A	89/100	89.00%	🔒 1	🔒 +0.0%
8=	Brian Dunbavin	B	88/100	88.00%	🔒 1	🔒 +0.0%
8=	Glen Spalding	B	88/100	88.00%	🔒 1	🔒 +0.0%
10	Joseph De Mulder	C	86/100	86.00%	🔒 1	🔒 +0.0%
11	Pip Bayley	C	85/100	85.00%	🔒 1	🔒 +0.0%
12=	Joe Norman-Hinchliffe	B	84/100	84.00%	🔒 1	🔒 +0.0%
12=	Mark Cobbold	B	84/100	84.00%	🔒 1	🔒 +0.0%
14=	Alan Pearson	B	83/100	83.00%	🔒 1	🔒 +0.0%
14=	Peter Simpson	B	83/100	83.00%	🔒 1	🔒 +0.0%
14=	Philip Moss	C	83/100	83.00%	🔒 1	🔒 +0.0%
17=	Neville Jay	B	82/100	82.00%	🔒 1	🔒 +0.0%
17=	Rebecca McKenzie	C	82/100	82.00%	🔒 1	🔒 +0.0%
19=	David Ferriman	A	81/100	81.00%	🔒 1	🔒 +0.0%
19=	John Sparrow	B	81/100	81.00%	🔒 1	🔒 +0.0%
21	Robert Allen	C	80/100	80.00%	🔒 1	🔒 +0.0%
22	Leon Jaeggi	D	79/100	79.00%	🔒 1	🔒 +0.0%
23=	Chris Osborn	D	77/100	77.00%	🔒 1	🔒 +0.0%
23=	Kevin Douglas	C	77/100	77.00%	🔒 1	🔒 +0.0%
23=	Ruth De Mulder	D	77/100	77.00%	🔒 1	🔒 +0.0%
23=	Stewart Chester	C	77/100	77.00%	🔒 1	🔒 +0.0%
23=	Vince Johnson	C	77/100	77.00%	🔒 1	🔒 +0.0%
28	Graham Elliott	D	76/100	76.00%	🔒 1	🔒 +0.0%
29	Trevor Surridge	D	75/100	75.00%	🔒 1	🔒 +0.0%
30=	Alen Robinson	Unknown	74/100	74.00%	🔒 1	🔒 +0.0%
30=	Peter Garrod	C	74/100	74.00%	🔒 1	🔒 +0.0%
30=	Philip Simpson	B	74/100	74.00%	🔒 1	🔒 +0.0%
33	Carole Sawkins	C	73/100	73.00%	🔒 1	🔒 +0.0%
34	James McAlevey	C	70/100	70.00%	🔒 1	🔒 +0.0%
35	Jim Grant	D	68/100	68.00%	🔒 1	🔒 +0.0%
36	Becky Clifton	D	66/100	66.00%	🔒 1	🔒 +0.0%
37	Michael Loughlin	D	65/100	65.00%	🔒 1	🔒 +0.0%
38	Peter Brown	B	63/100	63.00%	🔒 1	🔒 +0.0%

Other FSP Events at Sporting Targets Ltd

⚙ Performance Stats DRAG TO MOVE

0.396s ● FAST

DB 95% · Py 3% · Render 1%

12 queries · avg 31.4ms · max 177.9ms

Render Breakdown

DB Logic (Pre-Render) 0.3772s

Python Logic (Pre-Render) 0.0135s

Full Page Render 0.0048s

QUERY TABLES ▾

⚠ event_review 4× 0.100s

shoot_event 2× 0.003s

shoot_score 2× 0.179s

site_configuration 2× 0.094s

ground 1× 0.001s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [00:28:10.639] 1.6ms

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 [00:28:10.641] 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 [00:28:10.821] 177.9ms

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 [00:28:10.824] 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 [00:28:10.922] 97.1ms

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 [00:28:10.924] 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 [00:28:10.926] 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 [00:28:10.927] 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 [00:28:10.929] 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 [00:28:11.022] 92.8ms

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 [00:28:11.024] 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 [00:28:11.025] 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

Unlock the full event analysis

Historical Trends at Sporting Targets Ltd

Classification Deep Dive

Event Performance Analysis

Analyzing Data...

Refresh Complete

Already Up to Date?

Analyzing Data...

Refresh Complete

Already Up to Date?