limi — CS2 Stats

US76561198141415321[U:1:181149593]Steam profile ↗✓ No bans

1,482Tracked matches40%Win rate2020Tracked since

3,366Hours in CS5Hrs last 2 wks

CSDB Rating4.6 Developing

Premier CS Rating22,547Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

CSDB Leaderboard#5082 of 17361 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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
Headshot rate	33.8%	48.1%
Shot accuracy	14.9%	12.9%
Kill/death ratio	1.08	1.08
Match win rate	45.8%	46.5%

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Performance scores

Aim43

Positioning63

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY42–57–1Last 10042%Win rateWLWLLLLWWL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim4.3

Aggression6.7

Utility4.3

Positioning6.3

Opening Duels3.4

Clutch3.2

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 ropz 84% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower 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

Areas to improve

Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.3

Positioning6.3

Utility4.3

Mechanics5.4

Opening Duels3.4

Win Impact1.7

Composite 4.6/10 (Developing), 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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time580ms−47ms

first ⅓ avg 626ms → last ⅓ avg 580ms

Headshot accuracy14.6%−1.6%

first ⅓ avg 16.2% → last ⅓ avg 14.6%

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

0.14Best rating — train 13–10

13–2Biggest win — agency

6Longest win streak

10–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 67% over 6nukeWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	20	11–9	55%	0.01
nuke	D	17	5–12	29%	0.00
ancient	C	16	7–9	44%	0.00
overpass	C	13	5–8	38%	0.02
inferno	C	11	4–7	36%	-0.03
mirage	C	8	3–5	38%	0.04
dust2	S	6	4–2	67%	0.05
train	—	4	2–2	50%	0.03
cache	—	3	0–3	0%	-0.01
agency	—	1	1–0	100%	0.09
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,377Lifetime kills

1.08K/D

4,008Matches

45.8%Match win rate

33.8%Headshot %

14.9%Shot accuracy · Top 50% of Pink band

13,175MVPs

1,928Hours (in match)

3,964Bombs planted

1,432Bombs defused

Most-used weapons

AK-4724,326

AWP22,260

M4A4 / M4A1-S10,288

P2000 / USP-S4,921

Desert Eagle3,740

Glock-183,508

MAC-101,878

Knife1,759

MP91,752

SG 5531,632

Lifetime map wins

4,723dust2

4,088inferno

2,953vertigo

2,489nuke

1,953train

377cbble

110office

46lake

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

Faceit stats

Combat

723Matches

50%Win rate

1.03Avg K/D

80.4ADR

34%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	116	55%	1.03	15.7
Ancient	79	44%	0.93	15.3
Nuke	73	56%	1.11	17.8
Mirage	69	39%	1.09	16.4
Vertigo	41	54%	0.93	16.2
Overpass	41	46%	1.06	15.6
Inferno	32	25%	0.83	13.8
Train	16	44%	1.10	16.7

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.

15.0%Headshot accuracy

30.3%Accuracy (enemy spotted)

34.0%Spray accuracy

74.5%Counter-strafing

12.8°Preaim

583msReaction time

42.4%T opening success

44.9%CT opening success

0.49Enemies flashed / flash

3.4%Flash assists

10.95HE damage / grenade

7.98Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7723° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.9918% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4871 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–11	0.04	15%	19 Aug →
nuke	6–13	0.03	22%	19 Aug →
anubis	13–5	0.13	15%	18 Aug →
cache	9–13	0.02	19%	11 Aug →
cache	7–13	-0.00	5%	30 Jul →
mirage	6–13	0.10	17%	28 Jul →
nuke	6–13	0.03	23%	22 May →
mirage	13–6	0.00	10%	21 May →
inferno	13–9	-0.00	14%	18 May →
overpass	11–13	0.02	21%	18 May →
inferno	13–8	-0.02	0%	9 May →
nuke	16–14	-0.00	13%	8 May →
overpass	13–10	0.06	15%	4 May →
cache	2–13	-0.05	13%	4 May →
ancient	8–13	-0.03	16%	2 May →
inferno	2–13	-0.03	13%	21 Apr →
mirage	5–13	0.00	18%	20 Apr →
dust2	4–13	0.01	24%	20 Apr →
inferno	13–9	0.00	13%	18 Apr →
ancient	10–13	-0.01	17%	14 Apr →
overpass	2–13	-0.06	12%	13 Apr →
ancient	13–6	0.01	11%	12 Apr →
nuke	13–11	0.00	19%	11 Apr →
anubis	13–3	-0.01	16%	11 Apr →
ancient	13–3	0.01	21%	11 Apr →
mirage	5–13	-0.02	17%	9 Apr →
overpass	1–13	-0.01	14%	9 Apr →
nuke	3–13	0.00	4%	7 Apr →
mirage	4–13	0.13	23%	6 Apr →
anubis	3–13	-0.03	9%	6 Apr →
overpass	5–13	0.01	16%	30 Mar →
overpass	7–13	0.09	9%	26 Mar →
nuke	3–13	-0.02	8%	26 Mar →
inferno	10–13	-0.01	17%	25 Mar →
overpass	13–9	0.05	13%	25 Mar →
nuke	13–10	0.11	12%	25 Mar →
anubis	13–11	0.02	22%	25 Mar →
inferno	5–13	-0.04	19%	24 Mar →
nuke	6–13	-0.01	11%	18 Mar →
ancient	13–11	0.06	28%	18 Mar →
anubis	13–6	0.09	17%	18 Mar →
inferno	9–13	-0.07	14%	17 Mar →
anubis	13–6	0.00	11%	17 Mar →
nuke	12–16	-0.02	10%	17 Mar →
overpass	8–13	-0.01	9%	14 Mar →
dust2	13–11	-0.02	44%	10 Mar →
ancient	13–6	0.03	11%	10 Mar →
mirage	2–13	-0.02	28%	26 Feb →
nuke	13–10	-0.04	26%	18 Feb →
inferno	2–13	-0.14	6%	17 Feb →
overpass	10–13	-0.10	9%	5 Feb →
anubis	13–7	0.03	5%	5 Feb →
inferno	9–13	0.06	24%	20 Jan →
overpass	8–13	0.05	13%	18 Nov →
ancient	8–13	0.01	5%	23 Oct →
dust2	4–13	0.07	14%	16 Oct →
overpass	13–5	0.08	14%	16 Oct →
overpass	13–8	0.08	32%	16 Oct →
mirage	13–8	0.08	16%	13 Oct →
ancient	8–13	0.03	19%	12 Oct →
dust2	13–11	0.06	16%	12 Oct →
train	9–13	-0.04	16%	23 Aug →
overpass	13–9	0.01	13%	23 Aug →
ancient	11–13	0.01	29%	14 Aug →
mirage	13–8	0.01	13%	14 Aug →
ancient	2–13	-0.10	9%	12 Aug →
anubis	13–10	-0.01	8%	24 Jul →
anubis	17–19	-0.03	17%	13 Jul →
ancient	7–13	0.02	21%	7 Jul →
nuke	4–13	-0.08	11%	7 Jul →
anubis	7–13	-0.01	16%	18 Jun →
agency	13–2	0.09	30%	12 Jun →
ancient	6–13	-0.02	19%	12 Jun →
train	6–13	0.03	10%	12 Jun →
nuke	6–13	0.04	29%	9 Jun →
anubis	13–7	-0.01	13%	7 Jun →
nuke	8–13	-0.05	10%	4 Jun →
anubis	14–16	-0.02	10%	4 Jun →
anubis	9–13	-0.02	24%	25 May →
nuke	9–13	0.02	19%	25 May →
ancient	13–10	0.02	18%	25 May →
dust2	10–1	0.05	18%	25 May →
train	13–10	0.14	19%	25 May →
inferno	13–4	0.05	14%	25 May →
dust2	13–11	0.11	14%	24 May →
train	13–9	-0.00	12%	24 May →
inferno	8–8	-0.13	14%	10 Mar →
anubis	13–9	0.01	15%	25 Feb →
ancient	13–11	0.03	8%	11 Feb →
nuke	3–13	-0.05	14%	6 Feb →
ancient	10–13	-0.04	14%	21 Jan →
anubis	4–13	-0.01	24%	17 Jan →
anubis	7–13	0.06	23%	16 Jan →
anubis	10–13	0.02	30%	9 Jan →
anubis	13–8	0.04	14%	7 Jan →
nuke	13–8	0.02	12%	7 Jan →
nuke	8–13	0.03	0%	4 Jan →
vertigo	12–16	-0.05	21%	4 Jan →
ancient	13–11	-0.01	10%	3 Jan →
anubis	8–13	-0.05	16%	22 Dec →