Lekkis — CS2 Stats

NO76561198253572968[U:1:293307240]Steam profile ↗✓ No bans

3,676Tracked matches45%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating21,624Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#8552 of 26451 tracked

FaceitLevel 8 · 1,921 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning48

Utility50

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateLWWLLLLTLL

Last 10 vs previous 10: -50pp win rate · +0.00 avg rating

Player DNA

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

Aim7.6

Aggression6.1

Utility5.0

Positioning4.8

Opening Duels2.3

Clutch3.2

Strong CT-side openerLimited 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.

Your pro match

Plays most like Twistzz 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim7.6

Positioning4.8

Utility5.0

Mechanics7.2

Opening Duels2.3

Win Impact3.3

Composite 5.7/10 (Solid), 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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time567ms−32ms

first ⅓ avg 599ms → last ⅓ avg 567ms

Headshot accuracy16.5%−2.9%

first ⅓ avg 19.4% → last ⅓ avg 16.5%

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 — anubis 13–7

13–1Biggest win — mirage

9Longest win streak

12–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 60% over 15mirageWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
anubis	B	19	9–10	47%	0.02
cache	A	16	9–7	56%	0.01
nuke	A	15	9–6	60%	-0.00
dust2	B	14	7–7	50%	0.02
mirage	C	14	6–8	43%	-0.01
inferno	B	12	6–6	50%	-0.00
ancient	A	9	5–4	56%	0.01
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,935Matches

49%Win rate

1.14Avg K/D

88.0ADR

41%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	180	47%	1.13	17.2
Anubis	152	55%	1.20	18.0
Inferno	141	48%	1.26	19.5
Ancient	119	57%	1.32	19.1
Dust2	119	44%	1.24	19.2
Nuke	105	50%	1.31	19.1
Train	30	53%	1.33	19.8
Overpass	29	52%	1.23	17.8

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.

16.4%Headshot accuracy

36.4%Accuracy (enemy spotted)

37.4%Spray accuracy

82.5%Counter-strafing

9.0°Preaim

567msReaction time

30.9%T opening success

47.2%CT opening success

0.61Enemies flashed / flash

9.5%Flash assists

6.92HE damage / grenade

4.85Flashes / 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 30.8893% — below the 40% mark we flag

Spend your practice time on Mirage

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.06	10%	28 Aug →
dust2	13–11	0.01	9%	27 Aug →
mirage	13–1	0.09	24%	27 Aug →
cache	7–13	0.05	20%	27 Aug →
dust2	11–13	-0.05	14%	27 Aug →
inferno	6–13	0.06	21%	24 Aug →
anubis	6–13	0.02	22%	24 Aug →
nuke	15–15	-0.02	20%	24 Aug →
ancient	11–13	-0.03	16%	23 Aug →
mirage	12–16	-0.08	16%	23 Aug →
nuke	13–11	0.03	12%	22 Aug →
mirage	9–13	-0.04	15%	22 Aug →
nuke	16–14	0.04	14%	22 Aug →
anubis	9–13	-0.07	17%	20 Aug →
nuke	16–14	-0.01	22%	20 Aug →
dust2	13–9	0.01	18%	19 Aug →
anubis	13–5	0.07	15%	19 Aug →
cache	13–10	-0.01	15%	17 Aug →
ancient	13–7	-0.01	18%	17 Aug →
cache	8–13	-0.05	15%	16 Aug →
mirage	3–13	-0.07	5%	16 Aug →
inferno	13–6	0.00	19%	16 Aug →
cache	13–8	0.02	15%	15 Aug →
nuke	9–13	-0.10	30%	14 Aug →
mirage	10–13	0.01	24%	12 Aug →
cache	9–13	-0.09	19%	11 Aug →
anubis	12–16	-0.03	5%	9 Aug →
nuke	6–13	-0.00	16%	8 Aug →
anubis	13–8	0.06	17%	7 Aug →
mirage	13–6	-0.01	13%	7 Aug →
anubis	11–13	-0.05	14%	7 Aug →
nuke	13–7	0.03	16%	7 Aug →
cache	13–10	-0.03	18%	7 Aug →
vertigo	11–13	0.02	9%	6 Aug →
cache	16–14	0.01	20%	6 Aug →
nuke	16–14	0.01	15%	5 Aug →
dust2	10–13	0.06	12%	5 Aug →
anubis	13–6	0.03	10%	3 Aug →
inferno	13–4	0.02	21%	3 Aug →
dust2	16–14	0.03	28%	2 Aug →
cache	13–9	0.09	18%	2 Aug →
cache	13–11	0.02	14%	2 Aug →
cache	8–13	-0.08	9%	2 Aug →
anubis	13–2	0.02	19%	2 Aug →
mirage	13–9	0.07	17%	2 Aug →
mirage	10–13	0.02	17%	1 Aug →
cache	10–13	0.08	16%	31 Jul →
ancient	4–13	-0.01	27%	31 Jul →
ancient	7–13	-0.02	17%	30 Jul →
anubis	14–16	-0.05	7%	30 Jul →
inferno	3–13	-0.08	19%	29 Jul →
anubis	11–13	0.05	24%	29 Jul →
mirage	10–13	-0.04	10%	29 Jul →
mirage	13–4	-0.00	23%	29 Jul →
dust2	13–5	0.08	13%	29 Jul →
dust2	9–13	0.08	31%	29 Jul →
mirage	15–15	-0.03	15%	28 Jul →
inferno	13–6	0.03	26%	28 Jul →
ancient	16–13	-0.00	13%	28 Jul →
anubis	8–13	0.05	19%	28 Jul →
dust2	7–13	-0.01	22%	27 Jul →
ancient	13–10	0.02	6%	27 Jul →
nuke	8–13	-0.08	18%	27 Jul →
cache	13–8	0.05	29%	27 Jul →
dust2	7–13	-0.03	25%	27 Jul →
inferno	13–10	-0.03	18%	27 Jul →
cache	13–9	0.11	25%	24 Jul →
nuke	13–3	0.03	22%	24 Jul →
inferno	10–13	0.02	22%	24 Jul →
nuke	9–13	-0.01	24%	24 Jul →
anubis	13–11	0.04	13%	24 Jul →
nuke	13–8	0.07	21%	23 Jul →
dust2	2–13	-0.03	28%	22 Jul →
anubis	13–7	0.14	16%	22 Jul →
cache	14–16	0.02	16%	20 Jul →
ancient	13–4	0.03	16%	20 Jul →
inferno	13–9	0.06	27%	20 Jul →
dust2	13–8	0.05	33%	20 Jul →
mirage	16–14	0.04	19%	20 Jul →
anubis	13–6	0.10	15%	19 Jul →
nuke	13–3	0.04	25%	19 Jul →
ancient	13–6	0.12	19%	19 Jul →
anubis	13–6	0.05	12%	19 Jul →
cache	13–7	0.00	9%	19 Jul →
anubis	6–13	-0.04	22%	19 Jul →
ancient	9–13	-0.02	16%	18 Jul →
dust2	13–8	0.05	17%	17 Jul →
nuke	6–13	-0.06	14%	17 Jul →
anubis	9–13	-0.04	6%	17 Jul →
inferno	5–13	-0.02	18%	16 Jul →
anubis	6–13	-0.05	18%	15 Jul →
cache	3–13	-0.09	19%	13 Jul →
inferno	6–13	-0.11	21%	13 Jul →
dust2	4–13	0.02	6%	13 Jul →
inferno	13–11	0.06	28%	13 Jul →
dust2	13–10	-0.01	13%	13 Jul →
mirage	12–16	-0.04	25%	8 Jul →
nuke	13–11	-0.04	21%	6 Jul →
anubis	13–7	0.01	27%	5 Jul →
mirage	13–5	-0.01	31%	5 Jul →