La Glotte à Charlotte

La Glotte à Charlotte — CS2 Stats

76561197979622348[U:1:19356620]Steam profile ↗

540Tracked matches41%Win rate2020Tracked since
CSDB Rating5.6 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim79
Positioning43
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY48439Last 10048%Win rateWWLLLWWLLW

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.2
Utility6.7
Positioning4.3
Opening Duels2.7

Strong CT-side opener

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

Your pro match

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; higher opening-fight frequency.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

CSDB Rating breakdown

Aim7.9
Positioning4.3
Utility6.7
Mechanics6.2
Opening Duels2.7
Win Impact2.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time519ms−56ms
first ⅓ avg 575ms → last ⅓ avg 519ms
Headshot accuracy23.9%+1.9%
first ⅓ avg 21.9% → last ⅓ avg 23.9%

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

0.13Best rating — dust2 6–0
132Biggest win — dust2
8Longest win streak
W2Current streak
37In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 50% over 70infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B70353550%0.00
infernoD113827%-0.01
cacheB115645%0.00
anubis32167%0.02
nuke32167%-0.02
mirage110100%0.08
ancient1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

22.5%Headshot accuracy
30.3%Accuracy (enemy spotted)
34.0%Spray accuracy
77.9%Counter-strafing
6.8°Preaim
516msReaction time
30.2%T opening success
51.2%CT opening success
0.63Enemies flashed / flash
7.0%Flash assists
10.20HE damage / grenade
11.27Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — 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 30.2146% — below the 40% mark we flag

Spend your practice time on Inferno

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–2-0.0211%19 Aug
dust213–9-0.0011%25 Jul
dust211–13-0.0115%25 Jul
dust28–13-0.0824%24 Jul
dust25–13-0.036%22 Jul
dust213–6-0.0214%20 Jul
dust213–7-0.0119%18 Jul
inferno11–130.0420%18 Jul
cache9–13-0.0811%14 Jul
dust213–8-0.0139%14 Jul
dust213–50.0728%14 Jul
cache7–13-0.0323%10 Jul
dust28–13-0.0415%8 Jul
dust29–13-0.0120%8 Jul
dust26–11-0.0138%8 Jul
dust29–130.0223%7 Jul
inferno9–130.0117%5 Jul
dust29–130.0117%5 Jul
dust29–13-0.0319%5 Jul
dust212–12-0.0922%4 Jul
dust21–6-0.09100%4 Jul
anubis10–13-0.0050%18 Jun
dust213–50.1030%14 Jun
dust211–20.0224%14 Jun
dust213–4-0.0130%13 Jun
cache13–90.1229%13 Jun
dust213–50.0419%6 Jun
dust210–13-0.0315%6 Jun
inferno2–13-0.0913%6 Jun
nuke8–10.0224%6 Jun
dust211–13-0.0622%4 Jun
nuke8–13-0.0817%4 Jun
dust213–60.1023%3 Jun
dust213–9-0.0318%31 May
dust213–40.0437%31 May
dust213–2-0.0015%31 May
anubis13–70.0213%31 May
inferno5–13-0.0625%31 May
dust28–13-0.0328%30 May
inferno13–60.0924%30 May
cache13–60.0510%30 May
cache13–80.0419%25 May
dust213–3-0.018%25 May
dust213–50.0725%23 May
dust213–50.0420%16 May
dust213–30.0120%16 May
dust213–20.0029%14 May
cache7–13-0.0415%14 May
cache12–12-0.0223%14 May
anubis13–40.0426%14 May
inferno5–130.0025%14 May
dust213–60.0116%14 May
cache9–130.0325%14 May
dust212–120.0728%14 May
dust26–130.0422%10 May
dust211–13-0.0520%10 May
dust212–12-0.0525%10 May
dust28–13-0.0144%9 May
mirage13–80.0823%9 May
cache13–110.0016%9 May
dust213–90.0725%9 May
cache1–10-0.117%9 May
dust213–70.0922%8 May
inferno13–9-0.0225%5 May
dust210–130.0937%3 May
dust26–00.1325%3 May
cache13–90.0419%29 Apr
dust213–6-0.0130%26 Apr
dust213–70.0115%25 Apr
dust212–7-0.0334%19 Apr
dust213–110.0517%18 Apr
dust212–120.0216%18 Apr
inferno7–13-0.0322%12 Apr
dust24–130.0019%12 Apr
dust213–60.0114%12 Apr
dust213–10-0.0038%12 Apr
dust28–13-0.019%9 Apr
dust211–13-0.0413%9 Apr
dust210–130.0320%7 Apr
dust212–120.0315%7 Apr
dust213–70.0633%6 Apr
dust29–130.0440%6 Apr
dust213–8-0.0120%6 Apr
dust211–13-0.0022%5 Apr
inferno11–13-0.0123%5 Apr
nuke13–4-0.0026%4 Apr
inferno13–10-0.0318%4 Apr
dust27–130.0126%4 Apr
inferno8–130.0129%4 Apr
ancient5–13-0.0515%4 Apr
dust213–11-0.0120%4 Apr
dust212–12-0.0213%3 Apr
dust212–120.0619%3 Apr
dust28–13-0.039%28 Mar
dust211–6-0.0131%27 Mar
dust213–10-0.0626%26 Mar
dust210–13-0.0223%26 Mar
dust212–12-0.0217%22 Mar
dust213–2-0.0111%22 Mar
dust22–13-0.0640%16 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →