karmA^LEONHART

karmA^LEONHART — CS2 Stats

GB76561198043136105[U:1:82870377]Steam profile ↗✓ No bans

813Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating22,175Top 50% of 212,379 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#53999 of 259282 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,175 +3,434 22 Sept – 31 Oct · 17 days played
18,74124,687peak 24,68722 Sept31 Oct
24,687Peak Premier in tracked matches
38Days played since 2025-08-22

Premier CS Rating

  • 2,512 below peak (24,687)
  • -1,369 over 30 days · declining
  • +2,604 over 90 days
  • Next: Red band at 25,000 — 2,825 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGkarmA^LEONHARTFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,175 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning41
Utility49

0–100 skill scores via Leetify.

Recent form

COLD58–38–4Last 10058%Win rateLWLWLLLLTW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +6.4pp headshot accuracy · −20ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 615ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 625ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.8
Utility4.9
Positioning4.1
Opening Duels1.8
Clutch3.6

Excellent counter-strafing

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

Reaction time. 639ms 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

Aim7.8
Positioning4.1
Utility4.9
Mechanics9.1
Opening Duels1.5
Win Impact7.4

Composite 6.3/10 (Solid), 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-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time626ms−26ms
first ⅓ avg 653ms → last ⅓ avg 626ms
Headshot accuracy16.9%−2.2%
first ⅓ avg 19.1% → last ⅓ avg 16.9%

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.

Personal bests

0.15Best match rating · 13–1 · mirage, 26 Jul →
40%Best headshot accuracy · 13–0 · mirage, 4 Jul →
227msFastest reaction time · 4–0 · inferno, 11 Aug →
13–0Biggest win · mirage, 4 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 64% over 14infernoWeakest map · 50% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA4525–2056%-0.00
infernoB147–750%-0.00
cacheA149–564%0.01
anubisA138–562%-0.01
ancientB63–350%-0.01
dust2—43–175%-0.02
overpass—22–0100%0.11
nuke—11–0100%-0.03
train—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

767Matches
54%Win rate
1.09Avg K/D
67.0ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3155%1.0014.1
Ancient3155%0.8713.6
Inferno2045%0.9113.3
Overpass771%1.0612.1
Anubis743%0.6510.3
Nuke60%0.6010.8
Dust2250%0.7812.5
Train20%1.0122.5

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.

17.9%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.2%Spray accuracy
90.8%Counter-strafing
7.8°Preaim
639msReaction time
31.0%T opening success
41.4%CT opening success
0.54Enemies flashed / flash
4.3%Flash assists
5.24HE damage / grenade
8.03Flashes / 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 31.0344% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0917%31 Oct →
anubis13–10-0.0127%31 Oct →
mirage8–13-0.0520%17 Aug →
dust213–11-0.0122%13 Aug →
inferno10–13-0.0219%12 Aug →
mirage4–13-0.0417%12 Aug →
cache11–13-0.0223%12 Aug →
mirage7–13-0.0628%12 Aug →
inferno15–15-0.0313%11 Aug →
mirage13–2-0.0518%11 Aug →
inferno4–0-0.040%11 Aug →
mirage3–6-0.110%9 Aug →
dust213–90.0018%9 Aug →
mirage1–13-0.0724%8 Aug →
ancient13–50.0323%8 Aug →
mirage13–8-0.0212%8 Aug →
anubis13–110.0112%8 Aug →
cache13–110.0217%8 Aug →
mirage12–16-0.0510%8 Aug →
cache0–13-0.1123%7 Aug →
mirage13–20.0717%7 Aug →
mirage11–13-0.0116%7 Aug →
ancient13–90.0116%7 Aug →
mirage13–6-0.0320%6 Aug →
inferno15–15-0.0014%6 Aug →
ancient13–80.0220%6 Aug →
inferno13–8-0.0610%5 Aug →
mirage11–13-0.0127%5 Aug →
cache13–30.0521%5 Aug →
anubis13–7-0.0013%5 Aug →
anubis13–9-0.0016%4 Aug →
ancient9–130.0210%4 Aug →
cache13–11-0.0315%4 Aug →
mirage13–7-0.088%4 Aug →
mirage13–110.0313%2 Aug →
anubis9–13-0.0615%2 Aug →
cache13–3-0.0230%2 Aug →
mirage8–130.029%2 Aug →
ancient15–15-0.0919%1 Aug →
mirage13–10.0014%1 Aug →
mirage7–13-0.0310%1 Aug →
dust28–13-0.0126%1 Aug →
inferno10–130.0318%1 Aug →
mirage9–30.0831%1 Aug →
anubis13–100.049%1 Aug →
anubis11–13-0.0416%31 Jul →
mirage16–120.0218%31 Jul →
mirage13–10.0025%31 Jul →
mirage13–80.0523%31 Jul →
mirage0–6-0.0714%31 Jul →
inferno14–16-0.0621%30 Jul →
mirage10–13-0.0314%30 Jul →
ancient7–13-0.0712%30 Jul →
inferno13–9-0.0814%30 Jul →
cache13–60.0321%30 Jul →
mirage13–70.0210%29 Jul →
mirage9–13-0.0515%29 Jul →
cache13–90.0813%29 Jul →
mirage5–13-0.0223%29 Jul →
nuke13–6-0.0313%28 Jul →
dust213–10-0.0620%28 Jul →
mirage13–40.0713%28 Jul →
anubis13–5-0.0220%28 Jul →
mirage13–10.1520%26 Jul →
anubis7–13-0.0414%26 Jul →
mirage13–40.0332%19 Jul →
anubis13–90.0110%19 Jul →
anubis13–110.0131%19 Jul →
anubis4–13-0.090%18 Jul →
inferno12–120.0211%18 Jul →
cache13–50.1010%18 Jul →
mirage13–10.1321%18 Jul →
mirage13–1-0.0020%17 Jul →
cache9–13-0.0420%17 Jul →
cache5–130.0323%16 Jul →
mirage8–13-0.0024%14 Jul →
cache10–13-0.0425%14 Jul →
mirage8–13-0.0415%4 Jul →
mirage13–00.0040%4 Jul →
mirage13–60.0315%4 Jul →
inferno11–130.0123%6 Jun →
mirage13–70.0217%6 Jun →
overpass13–50.1217%4 Jun →
anubis11–130.009%16 May →
overpass13–50.1022%15 May →
cache13–80.0619%30 Apr →
cache13–10-0.0419%30 Apr →
inferno13–50.0214%6 Apr →
inferno13–100.1128%15 Feb →
mirage10–13-0.0315%13 Feb →
mirage10–13-0.0237%25 Jan →
mirage13–40.0926%27 Dec →
mirage2–11-0.0214%22 Dec →
mirage13–40.0117%22 Dec →
inferno13–30.0514%22 Sept →
train17–190.0417%23 Aug →
mirage13–30.0524%23 Aug →
mirage19–17-0.0216%23 Aug →
mirage13–90.049%22 Aug →
inferno13–100.0116%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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