Naser Alsabah

CPSA: EE146242

Jul 2025 -
Jul 2025

Data Range

2

Total Shoots

200

Targets Shot

2

Grounds Visited

Discipline Performance

ESP 54.5%

PB: 56.0% Targets: 200

Score Trend

Performance over time across all disciplines

Discipline Split

Proportion of shoots by discipline

Personal Bests

Best score achieved per discipline

ESP 2 shoots 56.0% avg 54.5%

Top Grounds

Most visited grounds and average score

Ground	Visits	Avg	Best
Kibworth Gun Club	1	53.0%	53.0%
E.J.Churchill Group Ltd	1	56.0%	56.0%

Discipline × Ground Performance

Average score and personal best by discipline and ground

Kibworth Gun Club 1×

Discipline	Avg ↕	PB ↕
ESP	53.0%	53.0%

E.J.Churchill Group Ltd 1×

Discipline	Avg ↕	PB ↕
ESP	56.0%	56.0%

Recent Results

Last 2 competition results

04 Jul 2025 ESP C

English Sporting at Kibworth Gun Club

Kibworth Gun Club

Score 53/100

% 53.0%

Class Avg 61.5%

Class Rank 15th= in C

Overall Rank 66th=

03 Jul 2025 ESP C

English Sporting at E.J.Churchill Group Ltd

E.J.Churchill Group Ltd

Score 56/100

% 56.0%

Class Avg 55.4%

Class Rank 14th= in C

Overall Rank 81st=

							Classification				Overall
Date	Event		Discipline	Ground	Score	%	Class	Class Avg	Δ vs Class	Class Rank	Field Avg	Overall Rank
04 Jul 2025	English Sporting at Kibworth Gun Club		ESP	Kibworth Gun Club	53/100	53.0%	C	61.5%	-8.5%	15th=	72.4%	66th=
03 Jul 2025	English Sporting at E.J.Churchill Group Ltd		ESP	E.J.Churchill Group Ltd	56/100	56.0%	C	55.4%	+0.6%	14th=	69.3%	81st=

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
  

        0.032s
        ● FAST
        
      

        DB 52% ·
        Py 44% ·
        Render 4%
      

      
      
      11 queries · avg 1.5ms ·
      max 3.4ms
    
Render Breakdown

        DB Logic (Pre-Render)
        0.0165s
      

        Python Logic (Pre-Render)
        0.0141s
      

        Full Page Render
        0.0011s
      
QUERY TABLES ▾

          ⚠ shoot_score
          7× 0.012s
        

          site_configuration
          2× 0.002s
        

          shooter
          1× 0.002s
        

          admin_menu_item
          1× 0.001s
        
⚠ = queried 3+ times (cache candidate)
SQL QUERIES (11) — click to expand

            #1 [00:01:33.529]
            1.9ms
          
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 [00:01:33.531]
            1.6ms
          
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 [00:01:33.534]
            1.7ms
          
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 [00:01:33.536]
            1.3ms
          
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 [00:01:33.538]
            1.4ms
          
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) GROUP BY shoot_score.event_id 
HAVING count(shoot_score.id) > %(count_1)s

            #6 [00:01:33.540]
            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) AND shoot_score.percentage IS NOT NULL GROUP BY shoot_score.event_id

            #7 [00:01:33.542]
            1.1ms
          
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) AND shoot_score.shooter_class IS NOT NULL …

            #8 [00:01:33.546]
            3.4ms
          
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…

            #9 [00:01:33.552]
            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

            #10 [00:01:33.554]
            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)

            #11 [00:01:33.555]
            0.9ms
          
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.