l3ouncer

l3ouncer — CS2 Stats

US76561197961743871[U:1:1478143]Steam profile ↗✓ No bans

1,339Tracked matches26%Win rate2022Tracked since
CSDB Rating3.8 Learning
Ladder ranks via Leetify

Performance scores

Aim57
Positioning33
Utility19

0–100 skill scores via Leetify.

Recent form

COLD50473Last 10050%Win rateLLLLWTTLLW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim5.7
Aggression2.1
Utility1.9
Positioning3.3
Opening Duels0.0

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

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 676ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.7
Positioning3.3
Utility1.9
Mechanics7.3
Opening Duels0.0
Win Impact0.0

Composite 3.8/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time676ms+41ms
first ⅓ avg 635ms → last ⅓ avg 676ms
Headshot accuracy17.5%+2.3%
first ⅓ avg 15.2% → last ⅓ avg 17.5%

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

0.11Best rating — grail 13–7
131Biggest win — inferno
6Longest win streak
L4Current streak
116In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 80% over 5ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B30161453%0.02
infernoS1511473%0.01
overpassB115645%-0.01
trainA106460%-0.03
nukeC104640%-0.02
ancientD81713%-0.04
mirageS54180%-0.03
office42250%-0.05
anubis3030%-0.06
grail21150%0.05
cache1010%-0.01
palacio1010%-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient 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.

17.4%Headshot accuracy
29.9%Accuracy (enemy spotted)
35.0%Spray accuracy
82.7%Counter-strafing
9.0°Preaim
676msReaction time
22.5%T opening success
30.4%CT opening success
0.39Enemies flashed / flash
4.0%Flash assists
8.42HE damage / grenade
2.57Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3872 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 22.4638% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0121%2 May
train4–130.0029%2 May
nuke10–13-0.0411%14 Mar
office6–13-0.0911%10 Jan
train4–2-0.130%10 Jan
dust212–120.0418%10 Jan
dust212–12-0.0223%10 Jan
ancient3–13-0.0516%9 Jan
inferno7–9-0.0532%9 Jan
nuke13–5-0.0410%13 Dec
mirage13–20.0223%13 Dec
train12–12-0.0315%13 Dec
dust213–70.0227%13 Dec
palacio0–13-0.1021%13 Dec
nuke8–13-0.0113%12 Dec
dust29–130.0816%12 Dec
overpass9–70.0016%12 Dec
inferno9–60.0818%12 Dec
dust24–130.0118%26 Oct
inferno8–13-0.025%26 Oct
train2–13-0.0722%20 Oct
dust25–130.0417%20 Oct
mirage8–13-0.047%18 Oct
ancient9–13-0.0521%18 Oct
overpass11–130.0022%18 Oct
nuke5–130.0819%18 Oct
dust28–13-0.0226%27 Sept
overpass16–140.0721%25 Sept
office11–13-0.0315%20 Sept
ancient1–13-0.0115%20 Sept
anubis9–13-0.0419%20 Sept
dust213–8-0.0716%19 Sept
mirage13–9-0.0715%19 Sept
dust213–50.0422%18 Sept
inferno9–4-0.0017%14 Sept
ancient1–13-0.075%14 Sept
dust22–130.0413%13 Sept
inferno13–10.0618%6 Sept
mirage13–3-0.0611%6 Sept
inferno2–90.0113%1 Sept
anubis6–13-0.0714%1 Sept
nuke4–9-0.0525%1 Sept
dust213–100.0229%1 Sept
dust213–100.0320%1 Sept
office13–40.024%1 Sept
nuke13–5-0.0129%1 Sept
grail10–13-0.0012%28 Aug
grail13–70.1113%28 Aug
overpass13–6-0.0015%28 Aug
train13–11-0.0411%23 Aug
dust210–130.0118%23 Aug
inferno13–6-0.1129%22 Aug
ancient13–7-0.0413%22 Aug
dust29–130.0415%22 Aug
mirage13–100.0214%21 Aug
ancient8–13-0.0512%21 Aug
dust213–60.0814%17 Aug
dust213–30.0431%17 Aug
dust23–13-0.018%9 Aug
office13–9-0.0915%9 Aug
overpass4–130.0113%8 Aug
dust213–11-0.0118%8 Aug
nuke2–9-0.128%8 Aug
inferno9–20.0320%8 Aug
dust213–80.0118%8 Aug
train9–130.029%29 Jul
overpass16–140.0216%23 Jul
dust213–110.0419%21 Jul
inferno6–13-0.0312%21 Jul
ancient9–13-0.0515%21 Jul
overpass5–13-0.0613%21 Jul
inferno13–80.0915%20 Jul
dust28–13-0.069%20 Jul
overpass16–130.0417%18 Jul
dust213–11-0.0222%18 Jul
ancient11–13-0.0315%18 Jul
train13–11-0.049%18 Jul
overpass9–13-0.0115%18 Jul
inferno13–100.0017%18 Jul
dust25–13-0.0627%17 Jul
train13–60.0510%17 Jul
overpass3–13-0.0422%17 Jul
dust213–100.0313%16 Jul
train13–9-0.0219%16 Jul
overpass5–13-0.1015%16 Jul
inferno13–100.0413%16 Jul
dust213–50.069%12 Jul
inferno13–6-0.0112%12 Jul
dust213–10.0715%12 Jul
anubis1–13-0.079%11 Jul
train13–10-0.0220%11 Jul
dust213–80.0421%11 Jul
inferno13–110.0213%11 Jul
nuke16–14-0.0117%11 Jul
nuke13–10-0.0114%10 Jul
dust213–80.0211%10 Jul
dust211–130.0124%9 Jul
dust27–13-0.066%9 Jul
inferno13–80.1124%8 Jul
nuke11–13-0.0011%8 Jul

Match data via Leetify.

Recent teammates

Milestones

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