Melvyn Carvalho

CPSA: EE38488

Nov 2019 -
Mar 2026

Data Range

3

Total Shoots

300

Targets Shot

2

Grounds Visited

Discipline Performance

ESP 65.7%

PB: 67.0% Targets: 300

Score Trend

Performance over time across all disciplines

Discipline Split

Proportion of shoots by discipline

Personal Bests

Best score achieved per discipline

ESP 3 shoots 67.0% avg 65.7%

Top Grounds

Most visited grounds and average score

Ground	Visits	Avg	Best
Barrow Sporting Clays	2	65.0%	66.0%
Atkin Grant & Lang SG	1	67.0%	67.0%

Discipline × Ground Performance

Average score and personal best by discipline and ground

Barrow Sporting Clays 2×

Discipline	Avg ↕	PB ↕
ESP	65.0%	66.0%

Atkin Grant & Lang SG 1×

Discipline	Avg ↕	PB ↕
ESP	67.0%	67.0%

Recent Results

Last 3 competition results

27 Mar 2026 ESP C

English Sporting at Atkin Grant & Lang SG

Atkin Grant & Lang SG

Score 67/100

% 67.0%

Class Avg 65.8%

Class Rank 12th in C

Overall Rank 98th=

01 Dec 2019 ESP B

English Sporting at Barrow Sporting Clays

Barrow Sporting Clays

Score 64/100

% 64.0%

Class Avg 73.5%

Class Rank 39th= in B

Overall Rank 137th=

17 Nov 2019 ESP B

English Sporting at Barrow Sporting Clays

Barrow Sporting Clays

Score 66/100

% 66.0%

Class Avg 76.2%

Class Rank 26th= in B

Overall Rank 132nd=

							Classification				Overall
Date	Event		Discipline	Ground	Score	%	Class	Class Avg	Δ vs Class	Class Rank	Field Avg	Overall Rank
27 Mar 2026	English Sporting at Atkin Grant & Lang SG		ESP	Atkin Grant & Lang SG	67/100	67.0%	C	65.8%	+1.2%	12th	77.0%	98th=
01 Dec 2019	English Sporting at Barrow Sporting Clays		ESP	Barrow Sporting Clays	64/100	64.0%	B	73.5%	-9.5%	39th=	75.6%	137th=
17 Nov 2019	English Sporting at Barrow Sporting Clays		ESP	Barrow Sporting Clays	66/100	66.0%	B	76.2%	-10.2%	26th=	78.8%	132nd=

0%

Analyzing Data...

Connecting to CPSA...

Initial Scores

History Pages

Classifications

Fixture Details

VER: v0.4

BUILD:

DEPLOYED: 01 Jul 2026 16:45:53

    ⚙ Performance Stats
    DRAG TO MOVE
  

        0.022s
        ● FAST
        
      

        DB 57% ·
        Py 37% ·
        Render 7%
      

      
      
      10 queries · avg 1.2ms ·
      max 1.8ms
    
Render Breakdown

        DB Logic (Pre-Render)
        0.0124s
      

        Python Logic (Pre-Render)
        0.0081s
      

        Full Page Render
        0.0014s
      
QUERY TABLES ▾

          ⚠ shoot_score
          6× 0.008s
        

          site_configuration
          2× 0.002s
        

          shooter
          1× 0.002s
        

          admin_menu_item
          1× 0.001s
        
⚠ = queried 3+ times (cache candidate)
SQL QUERIES (10) — click to expand

            #1 [00:02:13.151]
            1.7ms
          
shooter
SELECT shooter.id AS shooter_id, shooter.cpsa_number AS shooter_cpsa_number, shooter.name AS shooter_name, shooter.category AS shooter_category, shooter.cpsa_url AS shooter_cpsa_url, shooter.cpsa_total_shoots AS shooter_cpsa_total_shoots, shooter.cpsa_total_shoots_checked_at AS shooter_cpsa_total_sh…

            #2 [00:02:13.153]
            1.2ms
          
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 [00:02:13.155]
            1.2ms
          
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…

            #4 [00:02:13.157]
            1.2ms
          
shoot_score
SELECT count(*) AS count_1 
FROM (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, s…

            #5 [00:02:13.159]
            1.0ms
          
shoot_score
SELECT shoot_score.event_id AS shoot_score_event_id 
FROM shoot_score 
WHERE shoot_score.event_id IN (%(event_id_1_1)s, %(event_id_1_2)s, %(event_id_1_3)s) GROUP BY shoot_score.event_id 
HAVING count(shoot_score.id) > %(count_1)s

            #6 [00:02:13.160]
            1.1ms
          
shoot_score
SELECT shoot_score.event_id AS shoot_score_event_id, avg(shoot_score.percentage) AS avg_1 
FROM shoot_score 
WHERE shoot_score.event_id IN (%(event_id_1_1)s, %(event_id_1_2)s, %(event_id_1_3)s) AND shoot_score.percentage IS NOT NULL GROUP BY shoot_score.event_id

            #7 [00:02:13.163]
            1.8ms
          
shoot_score
SELECT shoot_score.event_id AS shoot_score_event_id, trim(replace(shoot_score.shooter_class, %(replace_1)s, %(replace_2)s)) AS trim_1, avg(shoot_score.percentage) AS avg_1 
FROM shoot_score 
WHERE shoot_score.event_id IN (%(event_id_1_1)s, %(event_id_1_2)s, %(event_id_1_3)s) AND shoot_score.shooter_…

            #8 [00:02:13.165]
            1.0ms
          
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

            #9 [00:02:13.166]
            1.0ms
          
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)

            #10 [00:02:13.168]
            1.0ms
          
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
Open this panel before using the page to capture live request/debug data.