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Lämsy — CS2 Stats

76561198184303631[U:1:224037903]✓ No bans

1,504Tracked matches52%Win rate2020Tracked since
CSDB Rating3.3 Learning
Premier CS Rating23,038Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#9074 of 40739 tracked
FaceitLevel 9 · 1,843 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGLämsyFACEITLevel 9 · 1,843 ELOSTANDINGTop 20.7% of rankedPREMIER23,038 · Pink bandcsdb.gg/stats

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Performance scores

Aim34
Positioning29
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLLWWLLWWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim3.4
Aggression0.1
Utility5.1
Positioning2.9
Opening Duels0.0
Clutch2.2

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 62% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

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

Reaction time. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning2.9
Utility5.1
Mechanics2.3
Opening Duels0.0
Win Impact5.6

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time630ms−10ms
first ⅓ avg 640ms → last ⅓ avg 630ms
Headshot accuracy11.1%−1.2%
first ⅓ avg 12.3% → last ⅓ avg 11.1%

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

0.09Best rating — ancient 13–6
13–1Biggest win — dust2
9Longest win streak
1–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientB2010–1050%-0.04
infernoB179–853%-0.04
nukeA149–564%-0.05
mirageD134–931%-0.06
dust2A116–555%-0.05
anubisC94–544%-0.05
cacheC94–544%-0.01
overpass—44–0100%-0.00
vertigo—20–20%-0.16
poseidon—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

489Matches
56%Win rate
0.73Avg K/D
54.2ADR
35%Headshot %

Clutches & streaks

31%1v1 clutch win
12%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis7162%0.8111.0
Mirage6442%0.6710.3
Ancient6162%0.6911.3
Inferno4959%0.7711.0
Nuke3866%0.739.6
Dust23250%0.7410.5
Train1669%0.7811.7
Overpass1464%0.858.9

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

Skill profile

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

11.1%Headshot accuracy
34.3%Accuracy (enemy spotted)
38.1%Spray accuracy
60.2%Counter-strafing
12.1°Preaim
627msReaction time
12.4%T opening success
18.1%CT opening success
0.52Enemies flashed / flash
4.1%Flash assists
7.37HE damage / grenade
5.54Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0767° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.0829% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0214%29 Aug →
anubis11–13-0.0218%29 Aug →
cache6–13-0.0317%29 Aug →
ancient13–2-0.075%29 Aug →
ancient16–12-0.059%16 Aug →
mirage12–16-0.0915%16 Aug →
cache2–13-0.0822%16 Aug →
inferno9–20.0117%14 Aug →
nuke13–8-0.047%8 Aug →
ancient13–50.037%8 Aug →
cache13–50.024%8 Aug →
inferno10–13-0.0213%8 Aug →
dust24–13-0.135%8 Aug →
anubis13–8-0.075%8 Aug →
ancient13–60.099%8 Aug →
mirage9–13-0.0612%8 Aug →
nuke4–13-0.095%6 Aug →
ancient3–130.0328%6 Aug →
anubis11–13-0.0210%6 Aug →
dust29–13-0.0614%6 Aug →
cache13–30.009%6 Aug →
inferno15–15-0.076%5 Aug →
cache9–13-0.0213%5 Aug →
mirage13–60.017%5 Aug →
nuke13–100.0213%5 Aug →
ancient13–9-0.077%5 Aug →
nuke13–7-0.069%4 Aug →
mirage6–13-0.0612%4 Aug →
cache13–5-0.0114%4 Aug →
dust213–3-0.0413%4 Aug →
ancient9–13-0.1213%4 Aug →
nuke13–9-0.083%3 Aug →
ancient11–13-0.0112%3 Aug →
dust27–13-0.0919%3 Aug →
inferno8–13-0.067%3 Aug →
anubis10–13-0.068%22 Jul →
dust213–30.0312%22 Jul →
ancient15–15-0.0419%22 Jul →
mirage13–9-0.0310%22 Jul →
nuke9–13-0.084%22 Jul →
inferno13–20.0616%22 Jul →
cache5–13-0.046%22 Jul →
anubis5–13-0.1016%10 Jul →
nuke13–6-0.0512%10 Jul →
inferno13–4-0.0211%10 Jul →
cache13–40.0417%10 Jul →
dust213–4-0.0413%26 Jun →
anubis11–13-0.0720%26 Jun →
mirage7–13-0.099%26 Jun →
inferno13–11-0.0112%26 Jun →
ancient10–13-0.089%7 Jun →
nuke8–13-0.0119%7 Jun →
ancient1–13-0.0720%7 Jun →
inferno8–13-0.0515%7 Jun →
dust28–13-0.054%7 Jun →
mirage4–13-0.0813%7 Jun →
nuke3–13-0.130%6 Jun →
inferno13–4-0.047%6 Jun →
mirage13–9-0.077%15 May →
ancient3–13-0.1118%15 May →
dust216–13-0.068%15 May →
inferno8–13-0.0725%15 May →
nuke13–8-0.0425%13 May →
ancient13–7-0.0824%13 May →
inferno11–13-0.028%13 May →
overpass13–9-0.0313%9 May →
mirage13–7-0.037%9 May →
inferno13–2-0.013%9 May →
ancient13–9-0.029%9 May →
nuke13–9-0.050%9 May →
anubis13–2-0.0420%9 May →
dust213–1-0.0126%9 May →
dust213–30.0013%5 May →
nuke13–3-0.038%5 May →
ancient11–13-0.075%5 May →
inferno13–8-0.0520%2 May →
ancient13–9-0.014%2 May →
mirage13–16-0.067%2 May →
inferno13–7-0.086%2 May →
ancient13–9-0.0412%2 May →
anubis13–9-0.0615%2 May →
dust29–13-0.0717%2 May →
cache3–130.0216%2 May →
inferno14–16-0.0415%18 Apr →
overpass13–10-0.0116%18 Apr →
mirage7–13-0.0610%18 Apr →
anubis13–30.022%18 Apr →
ancient13–50.0118%18 Apr →
nuke9–13-0.0426%18 Apr →
vertigo4–9-0.2610%18 Apr →
overpass9–30.037%18 Apr →
nuke9–00.0425%18 Apr →
inferno6–9-0.1531%18 Apr →
vertigo6–9-0.076%18 Apr →
poseidon2–9-0.0321%18 Apr →
ancient10–13-0.090%18 Apr →
mirage12–16-0.0410%18 Apr →
mirage11–13-0.0512%12 Apr →
ancient10–13-0.044%12 Apr →
overpass13–90.0113%11 Apr →

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 →

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