Lokey ♡ — CS2 Stats

US76561198816686762[U:1:856421034]Steam profile ↗✓ No bans

3,972Tracked matches62%Win rate2022Tracked since

1,968Hours in CS

CSDB Rating3.7 LearningPositional Player

Premier CS Rating2,930Grey band · top ~87.6% of ranked players (population est.)

CSDB Leaderboard#200150 of 251423 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

−114Premier CS Rating · 3,044 → 2,930

Rating over time

Premier CS Rating: 2,930 +1,796 6 Sept – 13 Oct · 4 days played

3,044Peak Premier in tracked matches

18Days played since 2026-09-03

Premier CS Rating

114 below peak (3,044)
+1,796 over 30 days · improving
Next: Light Blue band at 5,000 — 2,070 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	196	—	—
Win rate	53%	—	—
K/D	0.76	—	—
Headshot %	36%	—	—

Measured 15 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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	Grey band median	Light Blue band median	vs Light Blue band
Headshot rate	35.4%	38.2%	39.9%	4.6% short
Shot accuracy	3.7%	3.6%	7.0%	3.2% short
Kill/death ratio	0.61	0.83	0.92	0.31 short
Match win rate	38.2%	40.2%	42.3%	4.0% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim47

Positioning27

Utility16

0–100 skill scores via Leetify.

Recent form

STEADY50–39–11Last 10050%Win rateWLWLLWLLWT

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.3pp headshot accuracy · −65ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.08
Avg headshot accuracy 11%
Avg reaction 605ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 10%
Avg reaction 610ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 643ms

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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim4.7

Utility1.6

Positioning2.7

Opening Duels0.0

Clutch2.6

Limited 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.

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 iM 97% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

T-side openings. Opening success drops from 28% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim4.7

Positioning2.7

Utility1.6

Mechanics7.1

Opening Duels0.0

Win Impact8.8

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time635ms−26ms

first ⅓ avg 661ms → last ⅓ avg 635ms

Headshot accuracy14.0%−0.7%

first ⅓ avg 14.6% → last ⅓ avg 14.0%

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

0.22Best match rating · 13–4 · nuke, 8 Oct →

35%Best headshot accuracy · 3–13 · nuke, 9 Oct →

406msFastest reaction time · 13–8 · nuke, 9 Oct →

13–0Biggest win · nuke, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

2–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 7 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	92	47–45	51%	-0.01
dust2	—	2	1–1	50%	-0.07
train	—	2	2–0	100%	-0.07
anubis	—	1	0–1	0%	-0.08
cache	—	1	0–1	0%	-0.13
overpass	—	1	0–1	0%	-0.02
mirage	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Lifetime stats

48,860Lifetime kills

0.61K/D

5,534Matches

38.2%Match win rate

35.4%Headshot %

3.7%Shot accuracy · Top 50% of Grey band

3,718MVPs

1,968Hours (in match)

5,487Bombs planted

696Bombs defused

Most-used weapons

AK-4715,469

M4A4 / M4A1-S12,501

Galil AR3,243

P2000 / USP-S2,812

Glock-182,454

AWP2,397

MP71,764

FAMAS1,118

Tec-9974

MP9896

Lifetime map wins

15,598nuke

5,688dust2

5,459inferno

2,521vertigo

1,919office

899train

467italy

228militia

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

Faceit stats

Combat

3Matches

33%Win rate

0.57Avg K/D

52.9ADR

26%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	2	50%	0.56	6.5
Nuke	1	0%	0.59	10.0

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.

13.5%Headshot accuracy

31.9%Accuracy (enemy spotted)

31.4%Spray accuracy

82.0%Counter-strafing

11.2°Preaim

644msReaction time

11.5%T opening success

27.9%CT opening success

0.16Enemies flashed / flash

1.8%Flash assists

4.28HE damage / grenade

1.92Flashes / 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.

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 13.5123% — 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 0.1591 — below the 0.5 mark we flag
Grenade Lineups →
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 11.5385% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–9	-0.08	3%	13 Oct →
anubis	5–13	-0.08	15%	13 Oct →
nuke	13–9	-0.04	23%	13 Oct →
nuke	1–13	-0.10	10%	12 Oct →
nuke	2–13	-0.11	6%	12 Oct →
nuke	13–6	-0.03	5%	12 Oct →
nuke	4–13	-0.01	4%	12 Oct →
nuke	11–13	-0.02	19%	12 Oct →
nuke	5–3	0.04	0%	12 Oct →
nuke	12–12	0.07	18%	11 Oct →
nuke	10–13	-0.05	22%	11 Oct →
nuke	8–13	-0.02	15%	11 Oct →
nuke	7–13	-0.03	6%	11 Oct →
nuke	1–13	-0.08	12%	11 Oct →
nuke	6–13	-0.11	6%	11 Oct →
nuke	13–3	0.15	14%	11 Oct →
nuke	13–11	-0.01	19%	11 Oct →
nuke	13–9	0.02	14%	11 Oct →
nuke	12–12	0.03	10%	11 Oct →
nuke	13–9	-0.06	18%	11 Oct →
nuke	13–10	-0.08	11%	11 Oct →
nuke	13–4	-0.01	18%	11 Oct →
nuke	11–7	-0.10	20%	11 Oct →
nuke	13–10	0.05	20%	11 Oct →
nuke	12–12	-0.01	12%	10 Oct →
nuke	12–12	0.01	21%	10 Oct →
nuke	13–9	0.04	9%	10 Oct →
nuke	13–5	-0.03	8%	10 Oct →
nuke	13–7	-0.04	18%	10 Oct →
nuke	13–8	0.03	11%	9 Oct →
nuke	3–13	-0.05	35%	9 Oct →
nuke	12–12	-0.00	27%	9 Oct →
nuke	7–13	-0.05	12%	9 Oct →
nuke	1–13	-0.06	27%	9 Oct →
nuke	13–8	-0.07	13%	9 Oct →
nuke	2–13	-0.06	10%	8 Oct →
nuke	13–4	0.22	13%	8 Oct →
nuke	13–8	-0.04	11%	8 Oct →
nuke	13–5	-0.04	16%	8 Oct →
nuke	11–13	-0.03	8%	8 Oct →
nuke	2–13	-0.04	5%	7 Oct →
nuke	13–9	0.00	8%	7 Oct →
nuke	12–12	-0.04	6%	7 Oct →
nuke	12–2	-0.01	4%	7 Oct →
nuke	12–12	-0.04	20%	7 Oct →
nuke	10–13	0.14	18%	6 Oct →
nuke	10–13	-0.01	18%	6 Oct →
nuke	13–5	0.03	14%	5 Oct →
cache	6–13	-0.13	6%	5 Oct →
nuke	3–13	-0.06	19%	5 Oct →
nuke	13–9	0.01	14%	4 Oct →
nuke	13–8	-0.06	5%	3 Oct →
nuke	1–13	0.01	9%	3 Oct →
dust2	13–3	-0.07	0%	3 Oct →
nuke	13–8	-0.06	7%	2 Oct →
nuke	13–6	0.03	7%	2 Oct →
nuke	10–13	-0.01	8%	1 Oct →
train	13–10	-0.05	13%	1 Oct →
nuke	2–13	-0.13	10%	1 Oct →
nuke	7–1	0.07	22%	1 Oct →
nuke	5–13	-0.12	22%	30 Sept →
nuke	12–12	0.02	9%	30 Sept →
nuke	13–2	0.05	7%	30 Sept →
nuke	13–5	0.01	17%	29 Sept →
overpass	1–13	-0.02	6%	29 Sept →
nuke	12–12	-0.06	4%	29 Sept →
nuke	13–5	-0.05	15%	29 Sept →
nuke	3–13	-0.01	8%	29 Sept →
nuke	11–13	-0.04	16%	29 Sept →
nuke	13–4	0.15	15%	28 Sept →
nuke	12–12	0.11	12%	28 Sept →
nuke	13–7	-0.02	12%	28 Sept →
dust2	4–13	-0.07	30%	28 Sept →
nuke	13–3	0.05	11%	28 Sept →
nuke	16–13	0.05	13%	28 Sept →
mirage	8–13	0.02	13%	28 Sept →
nuke	13–5	-0.07	21%	28 Sept →
nuke	13–9	-0.04	16%	28 Sept →
nuke	13–9	-0.09	10%	28 Sept →
nuke	9–13	-0.00	29%	28 Sept →
nuke	2–13	0.01	19%	28 Sept →
nuke	9–13	-0.10	9%	28 Sept →
nuke	13–3	0.03	0%	28 Sept →
nuke	4–13	-0.01	15%	28 Sept →
nuke	13–8	0.02	20%	28 Sept →
nuke	13–4	0.08	16%	28 Sept →
nuke	4–13	0.09	30%	27 Sept →
nuke	13–10	-0.06	20%	27 Sept →
nuke	12–12	-0.01	12%	27 Sept →
nuke	13–3	-0.04	6%	27 Sept →
nuke	13–6	-0.00	5%	27 Sept →
nuke	13–10	-0.02	17%	27 Sept →
nuke	10–13	-0.04	15%	27 Sept →
nuke	11–13	-0.06	14%	27 Sept →
nuke	9–13	0.06	12%	27 Sept →
nuke	13–4	-0.01	11%	26 Sept →
nuke	13–0	0.06	12%	26 Sept →
nuke	11–13	-0.06	15%	26 Sept →
train	9–1	-0.08	20%	26 Sept →
nuke	8–13	-0.12	9%	26 Sept →