b0$$0fm3 — CS2 Stats

US76561198028099773[U:1:67834045]Steam profile ↗✓ No bans

1,604Tracked matches59%Win rate2020Tracked since

3,702Hours in CS51Hrs last 2 wks

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating24,810Top 50% of 819 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)

CSDB Leaderboard#2665 of 15291 tracked

FaceitLevel 10 · 2,079 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	61.0%	52.8%
Shot accuracy	9.7%	13.7%
Kill/death ratio	1.82	1.08
Match win rate	43.9%	49.2%

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Performance scores

Aim87

Positioning67

Utility55

0–100 skill scores via Leetify.

Recent form

HOT57–42–1Last 10057%Win rateWWLWWLLWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.7

Aggression9.5

Utility5.5

Positioning6.7

Opening Duels4.4

Clutch4.2

Sharp aimer

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 jL 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 87 — the mechanical foundation is a clear strength.

Areas to improve

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

Aim8.7

Positioning6.7

Utility5.5

Mechanics6.8

Opening Duels4.4

Win Impact7.9

Composite 7.2/10 (Strong), 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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time553ms−13ms

first ⅓ avg 566ms → last ⅓ avg 553ms

Headshot accuracy24.8%+0.9%

first ⅓ avg 23.9% → last ⅓ avg 24.8%

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

0.17Best rating — nuke 9–4

13–1Biggest win — cache

11Longest win streak

W2Current streak

10–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 75% over 8mirageWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	13–15	46%	0.02
inferno	B	16	8–8	50%	0.01
cache	A	13	8–5	62%	0.03
anubis	B	12	6–6	50%	0.02
ancient	S	8	6–2	75%	0.05
nuke	S	7	5–2	71%	0.08
mirage	C	7	3–4	43%	0.01
office	—	4	3–1	75%	0.01
vertigo	—	3	3–0	100%	0.05
train	—	1	1–0	100%	0.08
fachwerk	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

223,244Lifetime kills

1.82K/D · Top 5% of Level 10 players

5,401Matches

43.9%Match win rate

61.0%Headshot % · Top 25% of Level 10 players

9.7%Shot accuracy

16,111MVPs

3,231Hours (in match)

4,193Bombs planted

2,224Bombs defused

Most-used weapons

AK-47100,979

M4A4 / M4A1-S27,731

AWP13,350

P2000 / USP-S12,860

Desert Eagle11,865

Glock-186,195

SSG 085,975

P903,996

Knife3,470

Galil AR3,344

Lifetime map wins

8,397dust2

5,602inferno

4,042nuke

2,896vertigo

931train

906office

720lake

491dust

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

Faceit stats

Combat

923Matches

52%Win rate

1.10Avg K/D

77.8ADR

52%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	220	51%	1.07	15.6
Inferno	175	49%	1.09	15.7
Anubis	132	53%	1.08	14.9
Nuke	104	59%	1.17	15.9
Ancient	93	45%	1.00	15.6
Overpass	70	54%	1.12	16.7
Mirage	65	40%	1.03	15.1
Vertigo	22	68%	1.42	18.8

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.

24.8%Headshot accuracy

37.3%Accuracy (enemy spotted)

39.8%Spray accuracy

80.7%Counter-strafing

9.0°Preaim

538msReaction time

43.0%T opening success

52.5%CT opening success

0.64Enemies flashed / flash

8.2%Flash assists

6.06HE damage / grenade

10.06Flashes / match

Recommended for you

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	0.10	29%	25 Aug →
office	13–7	0.02	23%	25 Aug →
dust2	10–13	0.01	24%	24 Aug →
nuke	13–4	0.08	32%	24 Aug →
train	13–3	0.08	35%	24 Aug →
anubis	7–13	0.07	33%	24 Aug →
inferno	10–13	-0.03	28%	23 Aug →
ancient	13–9	0.12	17%	22 Aug →
vertigo	13–8	0.10	42%	21 Aug →
ancient	13–2	0.03	25%	19 Aug →
mirage	11–13	-0.03	19%	17 Aug →
dust2	10–13	0.02	20%	16 Aug →
cache	4–13	-0.02	40%	15 Aug →
inferno	4–9	-0.14	16%	14 Aug →
cache	13–1	0.04	22%	14 Aug →
anubis	16–14	-0.01	19%	14 Aug →
nuke	9–4	0.17	14%	13 Aug →
nuke	9–3	0.16	30%	13 Aug →
inferno	13–11	0.04	28%	13 Aug →
anubis	5–13	-0.04	18%	13 Aug →
ancient	12–12	0.04	20%	12 Aug →
dust2	13–10	0.01	15%	11 Aug →
cache	5–13	0.00	16%	11 Aug →
dust2	13–4	0.10	23%	11 Aug →
dust2	13–8	0.02	25%	11 Aug →
dust2	13–11	0.03	31%	10 Aug →
cache	13–16	-0.02	18%	9 Aug →
dust2	16–14	0.08	21%	8 Aug →
nuke	11–13	-0.02	22%	8 Aug →
anubis	17–19	0.01	25%	6 Aug →
nuke	9–13	0.06	38%	3 Aug →
fachwerk	13–7	-0.06	32%	2 Aug →
inferno	13–11	0.04	21%	2 Aug →
dust2	13–7	0.02	18%	2 Aug →
nuke	13–1	0.02	16%	2 Aug →
cache	13–9	-0.01	15%	2 Aug →
cache	13–8	0.02	19%	2 Aug →
inferno	13–7	0.03	30%	2 Aug →
dust2	13–8	0.04	19%	2 Aug →
vertigo	13–4	0.03	18%	29 Jul →
vertigo	13–6	0.03	21%	29 Jul →
cache	13–6	0.13	21%	29 Jul →
mirage	9–13	0.09	20%	27 Jul →
mirage	13–10	0.06	13%	27 Jul →
cache	13–8	0.04	21%	27 Jul →
cache	10–13	0.03	33%	26 Jul →
inferno	8–13	-0.04	18%	26 Jul →
inferno	10–13	0.03	18%	25 Jul →
dust2	10–13	-0.06	27%	25 Jul →
anubis	13–5	0.15	18%	25 Jul →
anubis	13–4	0.14	24%	25 Jul →
dust2	13–10	0.02	19%	22 Jul →
dust2	6–13	0.09	24%	22 Jul →
anubis	8–13	-0.05	14%	19 Jul →
inferno	4–13	-0.08	22%	17 Jul →
dust2	9–13	0.01	42%	15 Jul →
cache	0–4	-0.01	0%	15 Jul →
anubis	13–9	-0.03	24%	14 Jul →
office	3–13	-0.02	41%	14 Jul →
dust2	7–13	-0.03	27%	13 Jul →
inferno	13–7	0.06	24%	12 Jul →
dust2	13–4	0.04	26%	11 Jul →
office	13–3	0.06	33%	10 Jul →
office	4–0	-0.01	29%	10 Jul →
cache	13–9	0.01	11%	10 Jul →
nuke	13–4	0.06	39%	10 Jul →
cache	13–3	0.08	17%	10 Jul →
dust2	16–14	-0.01	23%	10 Jul →
dust2	7–13	0.09	21%	9 Jul →
cache	13–7	0.09	25%	9 Jul →
dust2	13–10	0.03	26%	8 Jul →
ancient	10–13	0.01	17%	8 Jul →
anubis	6–13	-0.05	10%	8 Jul →
inferno	7–13	0.01	22%	6 Jul →
dust2	3–13	-0.08	23%	6 Jul →
dust2	9–13	-0.00	15%	6 Jul →
inferno	11–13	-0.00	19%	18 Jun →
mirage	13–11	0.00	20%	18 Jun →
ancient	13–10	0.13	37%	18 Jun →
dust2	7–13	-0.02	34%	13 Jun →
mirage	6–13	-0.07	28%	13 Jun →
anubis	16–14	-0.01	33%	12 Jun →
anubis	11–13	-0.04	26%	11 Jun →
inferno	13–9	0.05	27%	7 Jun →
dust2	11–13	0.04	27%	6 Jun →
inferno	9–13	-0.04	17%	5 Jun →
dust2	6–13	0.03	25%	4 Jun →
ancient	13–1	0.06	28%	3 Jun →
mirage	8–13	-0.01	28%	1 Jun →
mirage	13–7	0.06	8%	1 Jun →
ancient	13–5	0.01	24%	1 Jun →
inferno	9–6	0.05	45%	31 May →
ancient	13–8	0.00	23%	30 May →
dust2	8–13	0.00	18%	30 May →
dust2	10–13	-0.01	25%	29 May →
inferno	16–14	0.04	33%	29 May →
anubis	13–4	0.03	19%	29 May →
dust2	13–11	-0.01	10%	28 May →
dust2	7–13	-0.02	17%	27 May →
dust2	13–5	0.09	37%	27 May →