Light /M/ — CS2 Stats

76561198139525374[U:1:179259646]Steam profile ↗

1,304Tracked matches61%Win rate2020Tracked since

8,962Hours in CS10Hrs last 2 wks

CSDB Rating7.1 StrongHybrid Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

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	43.3%	52.8%
Shot accuracy	14.5%	13.7%
Kill/death ratio	0.80	1.08
Match win rate	57.7%	49.2%

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Performance scores

Aim87

Positioning60

Utility74

0–100 skill scores via Leetify.

Recent form

STEADY64–30–6Last 10064%Win rateWLLWWLLLWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.7

Aggression5.3

Utility7.4

Positioning6.0

Opening Duels1.0

Clutch5.2

Sharp aimerStrong CT-side openerEffective flashes

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 NiKo 93% 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

T-side openings. Opening success drops from 48% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.0

Utility7.4

Mechanics7.5

Opening Duels2.3

Win Impact8.6

Composite 7.1/10 (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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time543ms−4ms

first ⅓ avg 548ms → last ⅓ avg 543ms

Headshot accuracy26.1%−2.0%

first ⅓ avg 28.1% → last ⅓ avg 26.1%

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

0.24Best rating — mirage 13–0

13–0Biggest win — mirage

10Longest win streak

7–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 89% over 9infernoWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	13	10–3	77%	0.04
cache	S	12	8–4	67%	0.04
train	A	11	7–4	64%	0.03
office	A	11	6–5	55%	0.05
inferno	C	9	4–5	44%	0.03
anubis	S	9	8–1	89%	0.06
mirage	B	8	4–4	50%	0.06
vertigo	S	7	5–2	71%	0.04
overpass	S	6	5–1	83%	0.06
nuke	—	4	1–3	25%	0.01
shelter	—	2	0–2	0%	0.03
ancient	—	2	2–0	100%	0.01
italy	—	2	2–0	100%	0.07
warden	—	2	1–1	50%	-0.05
boulder	—	1	1–0	100%	-0.00
alpine	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

489,972Lifetime kills

0.80K/D

17,766Matches

57.7%Match win rate · Top 5% of Level 10 players

43.3%Headshot %

14.5%Shot accuracy · Top 50% of Level 10 players

31,714MVPs

8,218Hours (in match)

7,194Bombs planted

5,273Bombs defused

Most-used weapons

AK-47117,447

Galil AR70,167

M4A4 / M4A1-S66,153

P2000 / USP-S61,699

AWP59,271

Desert Eagle30,101

Glock-1812,997

P2508,374

SSG 087,273

Knife6,265

Lifetime map wins

17,090dust2

10,676inferno

6,696nuke

5,197train

4,813vertigo

1,841cbble

1,138office

368lake

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

Faceit stats

Combat

556Matches

53%Win rate

1.33Avg K/D

83.1ADR

56%Headshot %

Clutches & streaks

46%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	54%	1.41	15.4
Ancient	32	50%	1.23	16.9
Anubis	28	57%	1.45	15.9
Vertigo	18	61%	1.37	17.2
Inferno	14	71%	1.63	19.6
Nuke	9	67%	1.22	15.6
Dust2	7	29%	1.25	17.7
Overpass	4	50%	0.91	16.0

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.

25.6%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.5%Spray accuracy

83.7%Counter-strafing

9.6°Preaim

529msReaction time

19.6%T opening success

48.5%CT opening success

0.74Enemies flashed / flash

7.1%Flash assists

7.30HE damage / grenade

20.89Flashes / 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.

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 19.6488% — below the 40% mark we flag

Spend your practice time on Inferno

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–8	-0.01	24%	17 Aug →
train	10–13	0.03	23%	17 Aug →
train	10–13	0.04	28%	17 Aug →
vertigo	13–11	0.05	38%	29 Jul →
vertigo	13–3	0.05	35%	29 Jul →
nuke	6–13	0.04	25%	28 Jul →
inferno	8–13	0.04	29%	28 Jul →
anubis	11–13	0.07	28%	28 Jul →
anubis	13–1	0.08	21%	28 Jul →
shelter	5–13	-0.01	24%	23 Jul →
cache	13–4	0.05	35%	23 Jul →
ancient	13–6	0.05	19%	23 Jul →
anubis	13–10	0.09	17%	16 Jul →
dust2	13–11	0.06	18%	16 Jul →
office	13–5	0.03	18%	11 Jul →
office	12–12	0.10	24%	11 Jul →
boulder	13–11	-0.00	14%	9 Jul →
shelter	12–12	0.07	26%	9 Jul →
dust2	13–3	0.01	21%	6 Jul →
cache	8–13	-0.00	23%	6 Jul →
cache	13–9	-0.01	23%	6 Jul →
anubis	13–5	0.05	35%	5 Jul →
dust2	8–13	-0.04	14%	28 Jun →
cache	13–5	0.07	44%	28 Jun →
office	13–9	-0.02	31%	28 Jun →
mirage	13–3	0.07	27%	25 Jun →
office	1–13	0.01	33%	25 Jun →
inferno	1–13	-0.05	36%	22 Jun →
office	10–13	0.05	27%	22 Jun →
italy	13–4	0.06	18%	22 Jun →
dust2	13–9	0.04	27%	21 Jun →
train	11–13	0.10	33%	21 Jun →
train	13–7	0.01	22%	21 Jun →
anubis	13–6	0.04	21%	15 Jun →
dust2	13–1	0.18	26%	15 Jun →
overpass	13–10	0.05	26%	15 Jun →
inferno	13–8	0.03	13%	15 Jun →
dust2	13–11	-0.02	21%	11 Jun →
dust2	14–16	0.01	18%	11 Jun →
mirage	13–0	0.24	30%	11 Jun →
inferno	15–15	-0.02	26%	11 Jun →
mirage	11–13	-0.01	22%	3 Jun →
mirage	6–13	-0.04	21%	3 Jun →
mirage	11–13	-0.00	31%	3 Jun →
mirage	2–13	-0.02	89%	3 Jun →
vertigo	13–8	0.06	22%	3 Jun →
vertigo	12–12	0.03	28%	3 Jun →
anubis	13–4	0.02	19%	1 Jun →
anubis	13–6	0.07	20%	1 Jun →
inferno	13–3	0.07	33%	16 May →
office	13–4	0.11	33%	16 May →
office	13–5	0.08	17%	15 May →
cache	13–4	0.02	19%	8 May →
cache	13–11	0.02	35%	8 May →
cache	3–13	-0.01	25%	8 May →
cache	13–10	0.03	21%	30 Apr →
cache	12–12	0.14	41%	30 Apr →
cache	10–13	0.08	19%	30 Apr →
cache	13–10	0.09	29%	30 Apr →
cache	13–6	0.04	40%	30 Apr →
nuke	15–15	-0.02	17%	26 Apr →
inferno	9–13	0.03	29%	26 Apr →
overpass	13–5	0.10	23%	26 Apr →
dust2	13–6	0.06	17%	25 Apr →
train	8–13	0.03	19%	25 Apr →
train	13–6	0.04	26%	23 Apr →
vertigo	13–9	0.07	18%	9 Apr →
vertigo	13–8	0.04	23%	9 Apr →
mirage	13–2	0.18	25%	9 Apr →
alpine	7–13	-0.02	13%	9 Apr →
warden	13–11	-0.02	23%	9 Apr →
anubis	13–0	0.04	11%	6 Apr →
anubis	13–6	0.09	38%	6 Apr →
train	13–7	0.03	14%	26 Mar →
warden	9–13	-0.07	23%	26 Mar →
office	13–6	0.06	23%	26 Mar →
dust2	5–13	0.01	19%	26 Mar →
vertigo	11–13	-0.00	30%	26 Mar →
dust2	13–5	0.05	28%	23 Mar →
mirage	16–13	0.06	22%	23 Mar →
inferno	5–13	-0.01	42%	23 Mar →
nuke	7–13	-0.05	35%	23 Mar →
office	7–13	-0.01	42%	19 Mar →
office	11–13	-0.04	28%	19 Mar →
overpass	13–9	0.02	32%	17 Mar →
overpass	13–6	0.10	28%	17 Mar →
nuke	13–4	0.08	36%	12 Mar →
dust2	13–11	-0.00	25%	12 Mar →
inferno	13–2	0.17	46%	12 Mar →
overpass	11–13	-0.01	31%	12 Mar →
overpass	13–6	0.10	26%	12 Mar →
italy	13–3	0.08	21%	5 Mar →
office	13–7	0.14	31%	5 Mar →
ancient	13–8	-0.04	20%	5 Mar →
train	13–4	0.08	31%	4 Mar →
dust2	13–8	0.01	21%	4 Mar →
train	13–6	-0.01	38%	26 Feb →
train	7–2	0.01	33%	26 Feb →
train	8–1	-0.01	33%	26 Feb →
dust2	13–3	0.19	36%	23 Feb →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches10-Win Streak

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