LiLMaN — CS2 Stats

AU76561197981424395[U:1:21158667]Steam profile ↗✓ No bans

2,783Tracked matches63%Win rate2020Tracked since

5,549Hours in CS19Hrs last 2 wks

CSDB Rating8.0 StrongSupport

Premier CS Rating21,946Top 50% of 211,308 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#56623 of 258244 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+349Premier CS Rating · 21,597 → 21,946

Rating over time

Premier CS Rating: 21,946 -1,680 7 Aug – 28 Oct · 53 days played

Faceit ELO: 1,956 +0 31 Aug – 9 Sept · 2 observations

24,302Peak Premier in tracked matches

1,956Highest Faceit ELO seen on CSDB

52Days played since 2026-08-07

Faceit ELO

At peak — 1,956
Next: Level 10 at 2,001 — 45 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-31
Level 8 first seen 2026-08-31

Premier CS Rating

2,356 below peak (24,302)
+1,838 over 30 days · improving
-1,680 over 90 days
Next: Red band at 25,000 — 3,054 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-31
Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	63.7%	46.9%	49.3%	above
Shot accuracy	15.1%	13.0%	13.4%	above
Kill/death ratio	1.71	1.08	1.12	above
Match win rate	48.9%	46.7%	48.5%	meets

Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim91

Positioning63

Utility80

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWLWWWLWLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −12.9pp headshot accuracy · −38ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.06
Avg headshot accuracy 17%
Avg reaction 530ms

Last 10

6–4 · 60% win rate
Avg rating 0.06
Avg headshot accuracy 18%
Avg reaction 524ms

Last 20

14–6 · 70% win rate
Avg rating 0.05
Avg headshot accuracy 25%
Avg reaction 542ms

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 (+2.2 against its own average).

Aim9.1

Utility8.0

Positioning6.3

Opening Duels4.4

Clutch4.4

Sharp aimerHigh utility contribution

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

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, aim 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.

Utility. Utility score of 80 — grenade impact well above the norm.

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

Positioning6.3

Utility8.0

Mechanics8.1

Opening Duels4.8

Win Impact9.4

Composite 8.0/10 (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 rating0.06+0.03

first ⅓ avg 0.03 → last ⅓ avg 0.06

Reaction time542ms−43ms

first ⅓ avg 585ms → last ⅓ avg 542ms

Headshot accuracy25.4%−5.2%

first ⅓ avg 30.6% → last ⅓ avg 25.4%

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.

Personal bests

0.21Best match rating · 13–1 · cache, 10 Oct →

100%Best headshot accuracy · 3–0 · nuke, 18 Oct →

406msFastest reaction time · 13–6 · dust2, 29 Aug →

13–1Biggest win · cache, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 73% over 15infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	29	11–18	38%	0.03
dust2	C	20	8–12	40%	0.05
nuke	B	19	9–10	47%	0.04
cache	S	15	11–4	73%	0.07
inferno	D	9	2–7	22%	0.01
anubis	B	6	3–3	50%	0.03
ancient	—	2	2–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

305,982Lifetime kills

1.71K/D · Top 5% of Pink band

6,540Matches

48.9%Match win rate · Top 50% of Pink band

63.7%Headshot % · Top 5% of Pink band

15.1%Shot accuracy · Top 50% of Pink band

18,715MVPs

5,695Hours (in match)

6,703Bombs planted

2,998Bombs defused

Most-used weapons

AK-47160,559

M4A4 / M4A1-S37,680

AWP30,963

Desert Eagle25,111

P2000 / USP-S15,139

Glock-186,564

P2506,493

Galil AR3,102

SSG 082,709

FAMAS2,036

Lifetime map wins

13,485dust2

9,994inferno

5,771nuke

2,430train

2,231vertigo

674cbble

455office

336lake

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

Faceit stats

Combat

634Matches

50%Win rate

1.45Avg K/D

84.4ADR

46%Headshot %

Clutches & streaks

42%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	80	51%	1.30	17.6
Ancient	59	53%	1.32	16.8
Nuke	33	55%	1.57	17.9
Dust2	25	64%	1.53	20.6
Anubis	24	42%	1.24	17.7
Inferno	21	24%	1.29	18.7
Vertigo	17	29%	1.20	18.6
Train	11	64%	1.05	15.1

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.

23.6%Headshot accuracy

39.6%Accuracy (enemy spotted)

44.8%Spray accuracy

86.4%Counter-strafing

9.5°Preaim

543msReaction time

52.3%T opening success

45.7%CT opening success

0.60Enemies flashed / flash

10.2%Flash assists

14.88HE damage / grenade

20.48Flashes / match

Recommended for you

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.

22% 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
cache	13–7	0.09	9%	28 Oct →
nuke	6–13	0.01	17%	27 Oct →
cache	13–10	0.02	24%	26 Oct →
nuke	13–4	0.08	18%	26 Oct →
mirage	13–7	0.09	18%	25 Oct →
cache	8–13	0.00	25%	24 Oct →
ancient	13–10	0.05	14%	24 Oct →
cache	4–13	0.04	18%	22 Oct →
mirage	10–13	0.08	21%	22 Oct →
dust2	13–10	0.11	17%	21 Oct →
mirage	13–10	0.13	12%	21 Oct →
mirage	13–2	0.15	20%	19 Oct →
nuke	13–5	0.04	19%	18 Oct →
nuke	3–0	0.02	100%	18 Oct →
mirage	0–13	-0.03	17%	17 Oct →
cache	13–6	-0.02	22%	17 Oct →
cache	13–6	0.10	30%	17 Oct →
cache	13–8	0.07	30%	16 Oct →
nuke	13–4	0.08	28%	14 Oct →
mirage	7–13	-0.02	33%	14 Oct →
dust2	6–13	-0.01	36%	13 Oct →
cache	13–1	0.15	33%	13 Oct →
anubis	13–10	0.06	33%	10 Oct →
inferno	5–13	0.05	31%	10 Oct →
mirage	4–13	-0.04	52%	10 Oct →
cache	13–1	0.21	22%	10 Oct →
mirage	14–16	0.07	19%	7 Oct →
dust2	13–8	0.15	26%	7 Oct →
inferno	9–13	0.07	16%	6 Oct →
cache	13–8	0.05	22%	4 Oct →
cache	13–3	0.13	17%	4 Oct →
mirage	11–13	-0.04	23%	3 Oct →
mirage	4–13	-0.04	16%	3 Oct →
dust2	8–13	0.04	45%	2 Oct →
nuke	13–3	0.08	20%	2 Oct →
mirage	13–7	0.04	15%	2 Oct →
anubis	10–13	-0.01	10%	1 Oct →
anubis	13–11	0.10	23%	30 Sept →
inferno	8–13	-0.02	19%	29 Sept →
nuke	13–7	0.02	18%	27 Sept →
dust2	13–10	0.03	28%	27 Sept →
dust2	8–13	0.08	22%	27 Sept →
dust2	13–9	0.06	27%	27 Sept →
ancient	13–7	0.11	19%	26 Sept →
nuke	13–10	0.06	25%	26 Sept →
inferno	10–13	-0.02	21%	25 Sept →
mirage	15–15	0.06	24%	25 Sept →
mirage	13–7	-0.03	13%	25 Sept →
mirage	13–5	0.15	16%	21 Sept →
mirage	10–13	0.03	29%	20 Sept →
cache	10–13	-0.01	19%	20 Sept →
mirage	13–11	0.01	16%	19 Sept →
nuke	14–16	0.04	22%	19 Sept →
mirage	10–13	-0.03	32%	18 Sept →
inferno	11–13	0.01	14%	18 Sept →
mirage	8–13	0.02	31%	17 Sept →
nuke	13–11	0.03	29%	17 Sept →
dust2	11–13	0.04	14%	14 Sept →
anubis	6–13	-0.00	17%	12 Sept →
dust2	5–13	-0.02	36%	12 Sept →
nuke	13–16	0.04	23%	4 Sept →
dust2	11–13	0.10	31%	4 Sept →
cache	13–4	0.04	19%	3 Sept →
nuke	14–16	0.05	18%	2 Sept →
dust2	2–13	-0.06	36%	31 Aug →
mirage	16–12	0.06	18%	30 Aug →
nuke	9–13	0.12	32%	29 Aug →
anubis	6–13	-0.03	35%	29 Aug →
dust2	13–6	0.10	33%	29 Aug →
inferno	13–10	-0.02	20%	26 Aug →
mirage	8–13	-0.04	34%	24 Aug →
nuke	8–13	0.03	26%	24 Aug →
mirage	14–16	-0.00	36%	22 Aug →
dust2	7–13	0.14	28%	22 Aug →
nuke	16–12	0.11	29%	18 Aug →
mirage	3–13	-0.04	38%	16 Aug →
dust2	13–4	0.05	38%	16 Aug →
nuke	2–9	-0.09	28%	15 Aug →
inferno	9–13	-0.00	24%	15 Aug →
inferno	13–11	0.17	38%	14 Aug →
dust2	3–13	-0.03	31%	14 Aug →
anubis	13–8	0.04	28%	14 Aug →
dust2	13–5	0.01	31%	13 Aug →
nuke	11–13	-0.02	18%	13 Aug →
mirage	10–13	-0.05	24%	12 Aug →
inferno	0–13	-0.14	33%	12 Aug →
dust2	13–11	0.08	29%	12 Aug →
mirage	6–13	0.04	34%	12 Aug →
nuke	10–13	0.10	42%	11 Aug →
mirage	6–13	0.08	51%	11 Aug →
mirage	13–1	0.07	24%	10 Aug →
dust2	10–13	0.01	28%	10 Aug →
cache	10–13	0.11	45%	10 Aug →
nuke	15–15	0.02	18%	9 Aug →
cache	13–8	0.08	24%	9 Aug →
dust2	11–13	0.02	32%	8 Aug →
mirage	16–14	0.05	18%	8 Aug →
mirage	8–13	0.08	40%	8 Aug →
mirage	13–1	0.11	24%	8 Aug →
dust2	8–13	0.02	29%	7 Aug →