lm

lm — CS2 Stats

76561198039636889[U:1:79371161]Steam profile ↗✓ No bans

291Tracked matches82%Win rate2020Tracked since
4,454Hours in CS5Hrs last 2 wks
CSDB Rating5.3 DevelopingClutch Specialist
WingmanSupreme Master First Class
Ladder ranks via Leetify

Performance scores

Aim59
Positioning53
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY63–28–9Last 10063%Win rateLWTWLWWWLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −3.1pp headshot accuracy · −82ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 512ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 555ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 596ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim5.9
Utility4.6
Positioning5.3
Opening Duels2.8
Clutch6.0

Strong CT-side openerLimited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.9
Positioning5.3
Utility4.6
Mechanics3.6
Opening Duels2.5
Win Impact10.0

Composite 5.3/10 (Developing), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time577ms−0ms
first ⅓ avg 578ms → last ⅓ avg 577ms
Headshot accuracy14.4%+0.1%
first ⅓ avg 14.3% → last ⅓ avg 14.4%

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.

Personal bests

0.22Best match rating · 13–5 · dust2, 1 Apr →
26%Best headshot accuracy · 10–13 · mirage, 7 Sept →
375msFastest reaction time · 0–9 · inferno, 11 Sept →
13–0Biggest win · anubis, 11 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak
5–4In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 72% over 18mirageWeakest map · 53% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%-0.01
infernoS1813–572%0.01
ancientS1611–569%0.00
nukeS1410–471%0.01
overpassB137–654%0.01
anubisA74–357%0.01
cacheA53–260%-0.01
train—30–30%0.00
vertigo—22–0100%0.06
dust2—22–0100%0.15
office—11–0100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (53% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,590Lifetime kills
1.14K/D · Top 25% of tracked players
7,273Matches
52.6%Match win rate · Top 10% of tracked players
43.0%Headshot %
16.0%Shot accuracy · Top 25% of tracked players
13,237MVPs
2,673Hours (in match)
5,381Bombs planted
1,493Bombs defused

Most-used weapons

Lifetime map wins

9,191inferno
6,800dust2
3,087nuke
1,978vertigo
1,514train
1,030cbble
262dust
214office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

51Matches
61%Win rate
1.15Avg K/D
78.5ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%1.7521.0
Train10%0.7911.0
Ancient1100%0.9417.0
Inferno1100%1.5015.0
Nuke1100%1.0716.0

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.

14.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
43.5%Spray accuracy
66.3%Counter-strafing
9.7°Preaim
579msReaction time
30.2%T opening success
50.2%CT opening success
0.60Enemies flashed / flash
4.8%Flash assists
11.34HE damage / grenade
4.75Flashes / 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. 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 14.1358% — below the 15% mark we flag

    Aim Training →
  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 30.1775% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0411%29 Aug →
nuke13–40.0520%27 Jun →
mirage12–12-0.019%27 Jun →
ancient13–10.0518%27 Jun →
ancient10–13-0.0315%18 Jun →
mirage13–11-0.028%18 Jun →
overpass13–1-0.0312%18 Jun →
mirage13–6-0.0121%13 Jun →
overpass3–13-0.098%13 Jun →
nuke13–10.0513%13 Jun →
ancient12–120.0212%13 Jun →
vertigo13–10.089%5 Jun →
inferno13–20.0121%5 Jun →
ancient13–20.0421%5 Jun →
anubis4–130.0314%5 Jun →
nuke13–8-0.0012%27 May →
inferno13–80.0218%27 May →
ancient13–10-0.0320%27 May →
cache13–10.0222%6 May →
inferno13–50.0016%3 May →
cache13–20.0310%3 May →
ancient13–7-0.0417%3 May →
cache13–5-0.026%30 Apr →
nuke13–50.0417%29 Apr →
inferno13–11-0.0117%29 Apr →
cache4–13-0.0113%29 Apr →
overpass13–8-0.035%23 Apr →
nuke13–4-0.0219%21 Apr →
inferno13–30.059%21 Apr →
mirage13–30.0615%21 Apr →
dust213–110.0815%1 Apr →
inferno11–00.0920%1 Apr →
dust213–50.2214%1 Apr →
inferno3–13-0.0411%30 Mar →
overpass13–20.079%30 Mar →
nuke13–2-0.0419%28 Mar →
office13–50.046%22 Mar →
overpass10–130.0313%12 Mar →
overpass6–13-0.0210%12 Mar →
overpass4–20.1015%12 Mar →
inferno9–40.1221%12 Mar →
overpass10–13-0.0019%12 Mar →
anubis13–6-0.0022%19 Feb →
overpass13–4-0.054%19 Feb →
inferno13–70.0210%19 Feb →
ancient12–120.0412%7 Feb →
mirage13–6-0.0315%7 Feb →
ancient13–40.0717%28 Jan →
mirage12–120.0212%28 Jan →
nuke7–13-0.0213%12 Jan →
train10–13-0.0315%6 Jan →
train6–13-0.0118%6 Jan →
train2–130.0420%5 Jan →
ancient13–10-0.048%5 Jan →
mirage5–13-0.0523%5 Jan →
anubis7–13-0.0424%5 Jan →
mirage12–12-0.0310%24 Dec →
nuke13–90.0319%24 Dec →
vertigo13–70.0510%21 Dec →
inferno13–50.0013%19 Dec →
nuke13–10-0.0216%19 Dec →
mirage5–13-0.0516%19 Dec →
nuke9–30.189%11 Dec →
ancient13–4-0.046%11 Dec →
inferno13–60.0017%11 Dec →
inferno13–30.048%6 Dec →
anubis5–13-0.0918%6 Dec →
nuke13–10.0217%2 Dec →
ancient13–1-0.0311%2 Dec →
mirage9–10.0110%2 Dec →
inferno0–2-0.010%2 Dec →
nuke11–13-0.0122%27 Nov →
mirage13–30.0521%27 Nov →
nuke11–13-0.0712%16 Nov →
inferno12–12-0.048%15 Nov →
anubis13–110.0010%15 Nov →
mirage12–12-0.0715%15 Nov →
mirage2–6-0.0525%8 Nov →
ancient12–12-0.0312%3 Nov →
overpass10–130.0317%2 Nov →
mirage12–12-0.0216%2 Nov →
inferno13–2-0.0111%2 Nov →
ancient13–20.0010%14 Oct →
mirage13–30.0113%11 Oct →
anubis13–00.119%11 Oct →
mirage13–11-0.0111%4 Oct →
overpass13–50.025%4 Oct →
ancient13–30.0323%4 Oct →
overpass13–80.0117%29 Sept →
inferno13–1-0.0019%28 Sept →
anubis13–40.0320%28 Sept →
ancient13–60.0324%14 Sept →
mirage13–80.0624%14 Sept →
inferno0–9-0.040%11 Sept →
ancient3–13-0.0111%11 Sept →
mirage13–70.0316%11 Sept →
overpass13–00.057%7 Sept →
mirage10–13-0.0726%7 Sept →
inferno7–13-0.018%7 Sept →
nuke9–13-0.0120%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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