k4rb0n — CS2 Stats

76561197960439802[U:1:174074]Steam profile ↗VAC banned

1,442Tracked matches59%Win rate2020Tracked since

2,330Hours in CS

CSDB Rating7.9 StrongEntry Fragger

Premier CS Rating15,792Purple band · top ~25.2% of ranked players (population est.)

CSDB Leaderboard#33475 of 58691 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	56.4%	41.8%	42.7%	above
Shot accuracy	21.0%	11.9%	10.8%	above
Kill/death ratio	1.33	0.97	1.00	above
Match win rate	42.3%	43.5%	44.1%	1.8% short

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim99

Positioning68

Utility41

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateWLWWLTWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.9

Aggression10.0

Utility4.1

Positioning6.8

Opening Duels7.1

Sharp aimerExcellent counter-strafingLimited 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.

Your pro match

Plays most like s1mple 93% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 99 — the mechanical foundation is a clear strength.

Counter-strafing. 96% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

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

Aim9.9

Positioning6.8

Utility4.1

Mechanics10.0

Opening Duels7.1

Win Impact7.9

Composite 7.9/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time445ms−88ms

first ⅓ avg 533ms → last ⅓ avg 445ms

Headshot accuracy35.4%+1.5%

first ⅓ avg 33.9% → last ⅓ avg 35.4%

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.

Highlights

0.15Best rating — dust2 13–4

13–0Biggest win — dust2

5Longest win streak

10–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 63% over 8ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	72	39–33	54%	0.03
ancient	C	8	3–5	38%	0.02
inferno	A	8	5–3	63%	0.02
mirage	B	6	3–3	50%	0.01
cache	—	4	2–2	50%	0.00
nuke	—	1	0–1	0%	-0.03
anubis	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,202Lifetime kills

1.33K/D · Top 10% of Level 3 players

5,831Matches

42.3%Match win rate

56.4%Headshot % · Top 10% of Level 3 players

21.0%Shot accuracy · Top 5% of Level 3 players

16,170MVPs

2,330Hours (in match)

3,273Bombs planted

1,316Bombs defused

Most-used weapons

SSG 0839,070

AWP30,894

AK-4718,282

P2000 / USP-S11,056

Desert Eagle7,876

Glock-185,263

M4A4 / M4A1-S4,962

P2501,563

SG 5531,231

XM10141,196

Lifetime map wins

47,903dust2

866inferno

353nuke

210vertigo

178train

97cbble

79office

46dust

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

Skill profile

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

35.7%Headshot accuracy

38.0%Accuracy (enemy spotted)

38.2%Spray accuracy

95.9%Counter-strafing

5.8°Preaim

443msReaction time

51.1%T opening success

65.7%CT opening success

0.67Enemies flashed / flash

9.2%Flash assists

10.22HE damage / grenade

3.67Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6731 — below the 4 mark we flag
Grenade Lineups →

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–5	0.04	38%	29 Aug →
dust2	5–13	-0.03	43%	28 Aug →
dust2	13–9	0.03	30%	28 Aug →
ancient	13–5	0.09	46%	28 Aug →
dust2	3–13	-0.01	61%	28 Aug →
dust2	12–12	0.08	38%	28 Aug →
dust2	13–11	0.05	43%	27 Aug →
dust2	13–5	0.12	30%	27 Aug →
dust2	13–7	0.04	29%	25 Aug →
dust2	13–5	0.05	23%	25 Aug →
dust2	9–13	-0.04	27%	25 Aug →
dust2	11–13	0.05	29%	25 Aug →
inferno	13–11	0.06	47%	24 Aug →
ancient	13–9	0.04	33%	24 Aug →
mirage	10–13	-0.01	41%	24 Aug →
dust2	13–9	0.11	53%	23 Aug →
dust2	4–13	-0.06	39%	23 Aug →
dust2	8–13	0.01	48%	23 Aug →
inferno	13–11	0.06	33%	22 Aug →
ancient	10–13	0.01	21%	22 Aug →
cache	13–6	-0.01	21%	19 Aug →
dust2	10–13	0.02	27%	19 Aug →
dust2	2–13	-0.08	6%	18 Aug →
dust2	13–8	0.04	27%	18 Aug →
inferno	9–13	-0.04	41%	18 Aug →
dust2	13–5	0.04	37%	18 Aug →
dust2	13–6	0.09	50%	18 Aug →
dust2	13–6	0.01	43%	15 Aug →
dust2	9–13	0.00	20%	14 Aug →
dust2	13–9	0.04	46%	14 Aug →
dust2	9–13	-0.05	32%	14 Aug →
cache	7–13	0.00	35%	13 Aug →
ancient	6–13	0.09	30%	13 Aug →
dust2	13–5	0.07	55%	12 Aug →
dust2	9–13	-0.03	22%	11 Aug →
dust2	11–13	0.03	22%	11 Aug →
ancient	5–13	-0.08	50%	11 Aug →
nuke	8–13	-0.03	29%	11 Aug →
mirage	5–13	-0.00	39%	11 Aug →
cache	4–13	-0.05	26%	10 Aug →
inferno	4–13	0.00	25%	10 Aug →
mirage	11–13	0.03	42%	10 Aug →
dust2	13–7	0.04	27%	10 Aug →
mirage	13–7	-0.02	42%	8 Aug →
dust2	13–2	0.12	19%	8 Aug →
dust2	13–11	-0.03	30%	8 Aug →
mirage	13–4	0.01	29%	8 Aug →
inferno	10–13	-0.03	14%	4 Aug →
dust2	14–16	0.05	17%	3 Aug →
ancient	7–13	0.03	28%	3 Aug →
dust2	16–14	0.01	20%	30 Jul →
dust2	11–13	-0.01	50%	29 Jul →
dust2	10–13	0.02	31%	29 Jul →
inferno	13–10	-0.01	14%	24 Jul →
ancient	13–3	0.01	25%	24 Jul →
dust2	13–11	0.02	27%	24 Jul →
dust2	12–12	0.08	42%	24 Jul →
dust2	13–5	0.03	31%	23 Jul →
dust2	2–0	-0.10	17%	23 Jul →
dust2	3–13	-0.01	33%	23 Jul →
dust2	13–5	0.10	48%	23 Jul →
dust2	10–13	0.13	33%	23 Jul →
dust2	13–11	0.08	29%	22 Jul →
dust2	13–0	0.05	71%	22 Jul →
inferno	13–8	0.04	24%	22 Jul →
ancient	2–13	-0.04	38%	22 Jul →
dust2	13–1	0.05	27%	20 Jul →
dust2	11–13	-0.02	14%	20 Jul →
dust2	12–12	0.05	38%	20 Jul →
dust2	13–7	0.07	56%	20 Jul →
dust2	11–13	-0.05	30%	19 Jul →
dust2	7–9	0.10	47%	19 Jul →
dust2	13–6	0.09	26%	18 Jul →
dust2	10–13	0.08	29%	18 Jul →
dust2	13–10	0.05	26%	18 Jul →
cache	13–2	0.08	23%	17 Jul →
anubis	14–16	0.05	25%	17 Jul →
dust2	0–13	-0.02	30%	17 Jul →
inferno	13–8	0.04	29%	17 Jul →
mirage	13–7	0.03	27%	14 Jul →
dust2	13–3	0.12	25%	14 Jul →
dust2	5–13	-0.03	35%	13 Jul →
dust2	13–4	0.02	22%	13 Jul →
dust2	13–10	0.08	25%	13 Jul →
dust2	1–13	-0.10	67%	12 Jul →
dust2	11–13	-0.04	37%	11 Jul →
dust2	13–7	0.10	31%	11 Jul →
dust2	13–5	-0.01	35%	11 Jul →
dust2	11–13	0.03	35%	10 Jul →
dust2	13–4	0.15	39%	10 Jul →
dust2	13–9	0.06	24%	10 Jul →
dust2	13–11	0.02	56%	10 Jul →
dust2	5–13	0.04	39%	9 Jul →
dust2	13–10	0.06	37%	9 Jul →
dust2	0–13	-0.01	40%	9 Jul →
dust2	13–8	-0.03	26%	9 Jul →
dust2	13–6	0.09	37%	9 Jul →
dust2	12–12	0.12	40%	8 Jul →
dust2	4–13	-0.05	31%	8 Jul →
dust2	3–10	0.01	41%	8 Jul →