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~snooplesπŸ’€β„’πŸ€€πŸ˜‹

~snooplesπŸ’€β„’πŸ€€πŸ˜‹ β€” CS2 Stats

76561198153767446[U:1:193501718]Steam profile β†—βœ“ No bans

3,714Tracked matches66%Win rate2020Tracked since
CSDB Rating7.1 StrongAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim85
Positioning66
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateWWLLTLLWWW

Last 10 vs previous 10: -20pp win rate Β· +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler β€” Takes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression7.6
Utility6.3
Positioning6.6
Opening Duels2.6
Clutch1.8

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

Style profile from tracked-match aggregates β€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Strengths

Aim. Aim score of 85 β€” the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped β€” movement discipline most players never reach.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 28% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.5
Positioning6.6
Utility6.3
Mechanics8.9
Opening Duels2.9
Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (Γ—0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first β…“ avg -0.00 β†’ last β…“ avg 0.01
Reaction time631ms+29ms
first β…“ avg 603ms β†’ last β…“ avg 631ms
Headshot accuracy28.1%βˆ’1.5%
first β…“ avg 29.5% β†’ last β…“ avg 28.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.18Best rating β€” ancient 13–5
13–0Biggest win β€” dust2
6Longest win streak
W2Current streak
7–10In matches decided by ≀2 rounds
9Overtime games

Map breakdown

nukeBest map Β· 75% over 8mirageWeakest map Β· 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%0.02
infernoB1910–953%-0.00
mirageC176–1135%-0.01
cacheC104–640%-0.00
ancientA95–456%-0.01
overpassA95–456%-0.01
nukeS86–275%0.03
anubisC73–443%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,535Matches
50%Win rate
0.95Avg K/D
70.9ADR
43%Headshot %

Clutches & streaks

29%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20345%1.0114.1
Ancient15345%1.0014.4
Anubis11454%1.0814.6
Inferno8549%1.1214.2
Dust28056%1.0714.6
Nuke3656%1.1216.3
Vertigo3342%0.9713.4
Train1573%1.2917.5

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.0%Headshot accuracy
33.7%Accuracy (enemy spotted)
39.1%Spray accuracy
90.0%Counter-strafing
8.6Β°Preaim
637msReaction time
27.7%T opening success
52.9%CT opening success
0.70Enemies flashed / flash
13.3%Flash assists
10.61HE damage / grenade
8.02Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.6543% β€” below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics β€” lineups and callouts you learn once keep paying out every time the map comes up.

35% win rate across 17 tracked games β€” your weakest map with enough games to be worth reading into.

Mirage callouts & strategy β†’Mirage grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0760%25 Aug β†’
dust213–9-0.0138%22 Aug β†’
mirage3–13-0.0612%22 Aug β†’
cache10–130.0421%22 Aug β†’
dust212–120.0531%22 Aug β†’
mirage1–130.0132%22 Aug β†’
dust211–130.1025%22 Aug β†’
inferno13–7-0.0327%20 Aug β†’
dust213–0-0.0233%18 Aug β†’
inferno13–20.0920%13 Aug β†’
dust213–11-0.0123%11 Aug β†’
nuke13–7-0.0224%8 Aug β†’
inferno13–80.0441%8 Aug β†’
cache9–130.017%8 Aug β†’
inferno13–3-0.0517%6 Aug β†’
dust213–10-0.0333%4 Aug β†’
ancient13–8-0.0140%2 Aug β†’
mirage11–13-0.0122%1 Aug β†’
dust213–50.0442%1 Aug β†’
anubis1–13-0.080%28 Jul β†’
inferno13–70.0328%25 Jul β†’
inferno2–13-0.0825%23 Jul β†’
inferno13–11-0.046%19 Jul β†’
nuke13–70.0333%19 Jul β†’
anubis13–50.0331%19 Jul β†’
dust213–50.0824%16 Jul β†’
nuke13–80.0438%14 Jul β†’
inferno5–13-0.0032%13 Jul β†’
nuke13–90.0530%12 Jul β†’
cache4–13-0.0538%12 Jul β†’
mirage13–80.0459%11 Jul β†’
nuke13–60.1219%11 Jul β†’
inferno12–12-0.0514%28 Jun β†’
ancient13–8-0.0626%28 Jun β†’
dust213–40.0342%27 Jun β†’
ancient10–13-0.0118%27 Jun β†’
inferno15–150.0114%21 Jun β†’
dust27–130.0335%21 Jun β†’
dust213–80.0320%7 Jun β†’
nuke15–150.0215%7 Jun β†’
mirage13–110.0121%7 Jun β†’
anubis6–13-0.0132%7 Jun β†’
dust28–130.0060%7 Jun β†’
inferno13–90.0321%7 Jun β†’
ancient3–13-0.0418%7 Jun β†’
overpass8–2-0.0236%6 Jun β†’
dust211–13-0.0125%31 May β†’
overpass13–16-0.0226%31 May β†’
ancient5–13-0.0717%31 May β†’
mirage11–13-0.0119%31 May β†’
inferno13–90.0214%24 May β†’
dust213–40.0624%24 May β†’
anubis13–5-0.0113%24 May β†’
mirage13–16-0.0515%24 May β†’
cache13–80.0037%24 May β†’
overpass13–20.1034%24 May β†’
cache13–20.0231%24 May β†’
cache9–13-0.0521%24 May β†’
inferno13–110.017%23 May β†’
mirage10–13-0.0323%23 May β†’
nuke13–90.0321%9 May β†’
mirage11–130.0013%9 May β†’
ancient13–00.0025%9 May β†’
cache13–11-0.0128%9 May β†’
dust29–13-0.0211%9 May β†’
dust28–130.0020%3 May β†’
mirage13–110.0030%3 May β†’
cache12–120.0443%3 May β†’
dust216–130.0228%2 May β†’
anubis7–13-0.0019%2 May β†’
mirage13–16-0.0420%2 May β†’
cache13–20.0424%2 May β†’
cache1–13-0.0429%2 May β†’
dust216–130.0833%27 Apr β†’
inferno6–13-0.0928%26 Apr β†’
overpass13–9-0.0838%26 Apr β†’
overpass8–13-0.0229%26 Apr β†’
nuke5–13-0.0730%26 Apr β†’
dust211–13-0.0326%21 Apr β†’
mirage8–13-0.0358%21 Apr β†’
inferno16–130.0337%18 Apr β†’
ancient13–50.1820%18 Apr β†’
overpass12–12-0.0421%18 Apr β†’
inferno9–130.0429%18 Apr β†’
anubis10–130.0330%6 Apr β†’
overpass16–130.0623%5 Apr β†’
dust213–50.0121%15 Mar β†’
mirage11–13-0.0220%15 Mar β†’
inferno11–13-0.0629%15 Mar β†’
mirage13–11-0.0032%21 Feb β†’
overpass13–7-0.0515%21 Feb β†’
mirage10–4-0.0350%21 Feb β†’
ancient13–5-0.0153%31 Jan β†’
overpass8–13-0.0330%31 Jan β†’
inferno11–130.0020%24 Jan β†’
ancient8–13-0.0829%24 Jan β†’
anubis13–40.0443%24 Jan β†’
mirage13–100.0323%15 Jan β†’
inferno6–130.0228%15 Jan β†’
mirage11–130.0017%14 Jan β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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