.karboN

.karboN — CS2 Stats

76561198048684094[U:1:88418366]Steam profile ↗✓ No bans

1,435Tracked matches54%Win rate2020Tracked since
CSDB Rating8.1 StrongPositional Player
Premier CS Rating18,609Purple band · top ~14% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (27 days ago). 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: 18,609 -2,946 19 May – 9 Oct · 20 days played
16,34221,893peak 21,89319 May9 Oct
21,893Peak Premier in tracked matches
56Days played since 2026-05-18

Premier CS Rating

  • 3,284 below peak (21,893)
  • -361 over 30 days · steady
  • Next: Pink band at 20,000 — 1,391 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GG.karboNPREMIER18,609 · Purple bandcsdb.gg/stats

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Performance scores

Aim91
Positioning81
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLTLLWWLWWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −3.5pp headshot accuracy · +13ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 558ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim9.1
Utility6.3
Positioning8.1
Opening Duels6.8
Clutch3.4

Sharp aimerExcellent counter-strafingStrong positioning

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

T openings. 72% T opening-duel success — entries that actually open the round.

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

Aim9.1
Positioning8.1
Utility6.3
Mechanics8.8
Opening Duels8.5
Win Impact6.2

Composite 8.1/10 (Strong), 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 rating0.05+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.05
Reaction time549ms−22ms
first ⅓ avg 572ms → last ⅓ avg 549ms
Headshot accuracy23.5%+2.8%
first ⅓ avg 20.7% → last ⅓ avg 23.5%

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.

Personal bests

0.18Best match rating · 13–11 · inferno, 27 Oct →
100%Best headshot accuracy · 13–0 · office, 9 Oct →
383msFastest reaction time · 4–13 · inferno, 28 Oct →
13–0Biggest win · office, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
14–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 63% over 8anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2715–1256%0.01
dust2B179–853%0.05
cacheB168–850%0.04
infernoB147–750%0.04
ancientA85–363%0.04
anubisD62–433%0.01
nukeC52–340%0.02
office—43–175%0.04
train—21–150%0.07
overpass—11–0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

852Matches
52%Win rate
1.05Avg K/D
78.2ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis6846%1.2317.1
Mirage5242%1.0117.3
Ancient4448%1.0316.3
Inferno4068%1.1917.1
Dust22544%1.0815.2
Vertigo956%1.3916.3
Nuke367%1.1717.7
Cache2100%1.0815.0

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.

23.8%Headshot accuracy
40.8%Accuracy (enemy spotted)
40.9%Spray accuracy
89.4%Counter-strafing
9.7°Preaim
545msReaction time
71.5%T opening success
57.7%CT opening success
0.59Enemies flashed / flash
7.4%Flash assists
8.88HE damage / grenade
8.56Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–130.0938%5 Nov →
anubis12–120.0811%4 Nov →
dust28–13-0.0119%4 Nov →
cache4–13-0.0526%4 Nov →
nuke13–4-0.0116%4 Nov →
inferno13–110.1433%3 Nov →
office10–130.0721%3 Nov →
cache13–80.0516%29 Oct →
office13–80.0226%29 Oct →
dust210–130.0524%28 Oct →
cache13–50.0925%28 Oct →
inferno4–13-0.0631%28 Oct →
inferno13–110.1828%27 Oct →
office13–50.0623%27 Oct →
dust29–13-0.0423%26 Oct →
mirage7–130.1024%26 Oct →
dust213–100.0424%24 Oct →
mirage13–80.0417%22 Oct →
cache13–20.0430%22 Oct →
dust213–90.0840%22 Oct →
ancient13–20.0821%22 Oct →
cache12–120.0514%21 Oct →
mirage8–130.0123%18 Oct →
dust210–130.1126%18 Oct →
inferno13–110.0525%17 Oct →
dust213–110.0422%17 Oct →
cache2–130.0821%17 Oct →
mirage2–13-0.0423%17 Oct →
dust29–130.0817%17 Oct →
cache13–100.0928%13 Oct →
train13–90.0116%9 Oct →
cache4–130.0215%9 Oct →
dust212–120.0428%9 Oct →
mirage11–130.0027%9 Oct →
mirage9–130.0725%9 Oct →
mirage13–80.0224%9 Oct →
office13–00.00100%9 Oct →
train9–130.1418%8 Oct →
mirage13–60.0020%6 Oct →
cache13–40.0924%5 Oct →
dust213–30.1035%5 Oct →
cache12–120.0221%1 Oct →
cache16–120.0416%1 Oct →
inferno13–11-0.0518%1 Oct →
cache13–1-0.0131%18 Sept →
dust26–13-0.0517%17 Sept →
dust213–80.1523%16 Sept →
mirage13–110.0516%16 Sept →
cache5–130.0923%15 Sept →
mirage6–13-0.0716%15 Sept →
cache6–130.0724%11 Sept →
mirage13–110.0112%9 Sept →
inferno13–70.0815%1 Sept →
dust216–14-0.0329%28 Aug →
anubis13–110.0615%25 Aug →
mirage8–13-0.0820%20 Aug →
cache13–8-0.0028%18 Aug →
mirage19–15-0.0214%16 Aug →
mirage4–20.1219%14 Aug →
mirage13–9-0.0022%13 Aug →
anubis13–9-0.0410%5 Aug →
mirage13–4-0.0119%5 Aug →
nuke11–130.0219%5 Aug →
inferno7–13-0.0812%5 Aug →
cache9–13-0.0019%30 Jul →
anubis8–13-0.0114%30 Jul →
mirage13–8-0.0019%29 Jul →
mirage13–40.0222%29 Jul →
mirage11–13-0.0125%27 Jul →
anubis3–13-0.0538%24 Jul →
mirage13–70.0330%24 Jul →
inferno13–110.0723%23 Jul →
ancient16–130.0315%22 Jul →
mirage16–130.0412%22 Jul →
mirage13–80.0319%22 Jul →
ancient8–130.0314%21 Jul →
nuke13–60.0816%20 Jul →
mirage9–130.0134%20 Jul →
nuke9–130.0110%20 Jul →
inferno6–130.0621%20 Jul →
mirage6–13-0.0521%16 Jul →
ancient13–70.0123%16 Jul →
inferno7–13-0.0327%15 Jul →
dust213–80.1533%15 Jul →
mirage5–60.1126%13 Jul →
inferno11–130.0716%26 Jun →
dust213–80.0016%17 Jun →
inferno13–20.1115%15 Jun →
ancient13–50.0924%6 Jun →
dust213–110.0121%5 Jun →
mirage8–13-0.0813%5 Jun →
anubis6–130.0019%4 Jun →
nuke8–130.0122%4 Jun →
inferno4–13-0.0819%1 Jun →
ancient11–130.0622%23 May →
dust29–130.0427%23 May →
ancient13–5-0.016%21 May →
ancient8–130.0215%20 May →
overpass13–110.0217%19 May →
mirage13–110.0320%18 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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