litenhest — CS2 Stats

76561197987043644[U:1:26777916]Steam profile ↗✓ No bans

808Tracked matches47%Win rate2021Tracked since

CSDB Rating4.9 Developing

Premier CS Rating22,488Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#13691 of 55752 tracked

Ladder ranks via Leetify

Rating over time

22,488Peak Premier on CSDB

1Days observed since 2026-08-31

Premier CS Rating

At peak — 22,488
Next: Red band at 25,000 — 2,512 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

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim58

Positioning48

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWWLLLWWWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim5.8

Aggression7.5

Utility6.2

Positioning4.8

Opening Duels2.6

Clutch0.0

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 b1t 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8

Positioning4.8

Utility6.2

Mechanics3.3

Opening Duels2.6

Win Impact3.9

Composite 4.9/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time528ms−29ms

first ⅓ avg 557ms → last ⅓ avg 528ms

Headshot accuracy14.0%+0.1%

first ⅓ avg 13.9% → 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.

Highlights

0.12Best rating — anubis 13–6

13–1Biggest win — mirage

9Longest win streak

9–12In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 74% over 19dust2Weakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	19	14–5	74%	-0.01
ancient	A	18	10–8	56%	-0.02
cache	A	16	9–7	56%	-0.00
inferno	C	15	6–9	40%	-0.00
mirage	B	13	6–7	46%	-0.02
nuke	D	9	3–6	33%	-0.02
dust2	D	9	2–7	22%	-0.04
overpass	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

384Matches

51%Win rate

0.98Avg K/D

85.5ADR

33%Headshot %

Clutches & streaks

20%1v1 clutch win

17%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	67%	0.97	16.3
Anubis	3	100%	1.36	20.7
Dust2	1	0%	0.67	12.0
Inferno	1	100%	1.06	17.0
Cache	1	100%	1.18	20.0
Nuke	1	0%	1.00	23.0

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.

14.2%Headshot accuracy

32.8%Accuracy (enemy spotted)

36.1%Spray accuracy

64.7%Counter-strafing

9.3°Preaim

518msReaction time

36.2%T opening success

44.3%CT opening success

0.56Enemies flashed / flash

3.3%Flash assists

8.66HE damage / grenade

17.16Flashes / 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 14.1775% — below the 15% mark we flag
Aim Training →
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 36.2218% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	12–16	-0.01	14%	29 Aug →
cache	13–10	0.03	14%	29 Aug →
anubis	19–15	-0.02	13%	28 Aug →
mirage	6–13	-0.06	12%	28 Aug →
inferno	2–8	-0.06	15%	26 Aug →
nuke	8–13	-0.07	9%	26 Aug →
mirage	13–1	-0.01	14%	25 Aug →
ancient	13–9	0.06	8%	24 Aug →
anubis	13–10	-0.02	20%	24 Aug →
anubis	6–13	-0.05	10%	23 Aug →
cache	13–5	0.01	22%	23 Aug →
inferno	10–13	-0.03	26%	21 Aug →
cache	8–13	0.00	20%	21 Aug →
ancient	4–13	-0.07	19%	21 Aug →
cache	13–5	0.00	10%	20 Aug →
mirage	9–13	-0.03	10%	20 Aug →
ancient	13–3	0.00	9%	19 Aug →
dust2	6–13	-0.09	13%	19 Aug →
dust2	1–6	-0.05	0%	19 Aug →
cache	14–16	-0.02	8%	18 Aug →
anubis	13–11	0.05	16%	17 Aug →
ancient	4–13	0.01	18%	17 Aug →
inferno	14–16	0.04	10%	16 Aug →
anubis	13–9	0.06	17%	16 Aug →
dust2	12–16	-0.04	13%	15 Aug →
nuke	13–6	-0.05	9%	14 Aug →
ancient	5–13	-0.04	18%	13 Aug →
anubis	13–11	-0.01	22%	13 Aug →
anubis	13–6	-0.09	11%	13 Aug →
ancient	13–11	-0.02	17%	12 Aug →
mirage	13–5	-0.03	18%	12 Aug →
ancient	13–7	-0.01	11%	11 Aug →
anubis	13–9	0.05	13%	11 Aug →
ancient	15–15	-0.00	20%	10 Aug →
nuke	6–13	-0.09	30%	10 Aug →
nuke	13–7	-0.05	17%	9 Aug →
inferno	10–13	-0.01	16%	9 Aug →
cache	13–5	0.02	17%	8 Aug →
inferno	15–15	-0.00	7%	8 Aug →
dust2	8–13	0.03	17%	8 Aug →
ancient	9–13	-0.04	8%	7 Aug →
nuke	13–3	0.04	10%	7 Aug →
cache	13–7	0.04	18%	7 Aug →
anubis	13–10	-0.02	10%	7 Aug →
anubis	13–7	0.05	16%	6 Aug →
mirage	13–1	-0.04	9%	6 Aug →
inferno	13–7	-0.01	13%	4 Aug →
cache	13–9	0.04	13%	4 Aug →
anubis	13–3	0.06	11%	4 Aug →
anubis	13–11	-0.02	10%	2 Aug →
nuke	15–15	0.01	25%	2 Aug →
anubis	13–7	-0.07	13%	1 Aug →
dust2	7–13	-0.07	21%	1 Aug →
ancient	5–13	-0.01	22%	30 Jul →
cache	13–5	0.01	6%	30 Jul →
inferno	14–16	0.09	13%	28 Jul →
ancient	13–11	-0.04	14%	28 Jul →
mirage	5–13	-0.08	15%	28 Jul →
ancient	8–1	0.01	0%	26 Jul →
dust2	16–14	-0.06	17%	25 Jul →
ancient	13–5	-0.04	18%	25 Jul →
inferno	11–13	-0.04	14%	25 Jul →
nuke	15–15	-0.05	18%	23 Jul →
anubis	8–13	-0.08	11%	23 Jul →
ancient	13–4	-0.05	7%	23 Jul →
mirage	5–13	-0.04	18%	14 Jul →
cache	13–8	-0.02	21%	14 Jul →
ancient	13–7	0.02	10%	14 Jul →
mirage	10–13	-0.00	16%	13 Jul →
inferno	8–13	-0.06	11%	13 Jul →
cache	3–13	-0.07	13%	13 Jul →
mirage	13–11	0.06	15%	12 Jul →
ancient	11–13	0.02	20%	12 Jul →
cache	14–16	-0.05	11%	12 Jul →
anubis	13–8	-0.05	10%	10 Jul →
inferno	13–4	0.07	12%	10 Jul →
dust2	9–13	-0.05	9%	10 Jul →
cache	13–4	-0.03	24%	10 Jul →
mirage	16–13	0.04	10%	9 Jul →
ancient	9–13	-0.04	11%	9 Jul →
dust2	13–11	-0.01	17%	8 Jul →
mirage	13–3	-0.06	12%	8 Jul →
anubis	5–13	-0.06	13%	8 Jul →
overpass	13–10	-0.02	12%	7 Jul →
cache	2–13	-0.03	6%	6 Jul →
cache	9–13	-0.03	10%	6 Jul →
inferno	13–7	0.03	13%	28 Jun →
nuke	11–13	0.05	19%	28 Jun →
inferno	13–8	0.04	21%	27 Jun →
mirage	11–13	0.03	18%	27 Jun →
anubis	11–13	-0.04	7%	19 Jun →
ancient	12–5	-0.06	19%	19 Jun →
inferno	13–10	-0.06	4%	6 Jun →
mirage	11–13	-0.03	9%	6 Jun →
cache	12–12	0.06	19%	29 May →
dust2	11–13	0.02	17%	28 May →
inferno	11–13	-0.02	15%	26 May →
inferno	16–14	-0.05	16%	16 May →
anubis	15–15	0.02	15%	14 May →
anubis	13–6	0.12	23%	13 May →