lepoko0okok0kokkOkokoko — CS2 Stats

AT76561198170847254[U:1:210581526]Steam profile ↗✓ No bans

4,666Tracked matches46%Win rate2020Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating25,840Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1983 of 18426 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning58

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateLWLWLWWLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim8.0

Aggression6.3

Utility6.2

Positioning5.8

Opening Duels2.8

Clutch3.4

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 94% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 572ms 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

Aim8.0

Positioning5.8

Utility6.2

Mechanics6.9

Opening Duels2.8

Win Impact3.8

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time578ms+3ms

first ⅓ avg 575ms → last ⅓ avg 578ms

Headshot accuracy19.0%+0.2%

first ⅓ avg 18.8% → last ⅓ avg 19.0%

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

0.11Best rating — cache 13–4

13–1Biggest win — cache

4Longest win streak

9–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 58% over 12anubisWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	18–17	51%	0.01
cache	C	20	7–13	35%	-0.00
ancient	C	16	7–9	44%	0.01
anubis	D	15	3–12	20%	-0.00
inferno	A	12	7–5	58%	0.02
nuke	—	1	1–0	100%	-0.02
mirage	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,496Matches

51%Win rate

1.11Avg K/D

83.9ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	282	49%	1.06	16.7
Ancient	270	53%	1.12	17.8
Dust2	166	49%	1.10	16.7
Inferno	165	52%	1.09	17.0
Overpass	74	58%	1.11	18.2
Mirage	63	48%	0.97	17.2
Cache	39	56%	1.21	16.8
Vertigo	33	42%	1.00	16.2

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.

19.6%Headshot accuracy

37.3%Accuracy (enemy spotted)

38.8%Spray accuracy

81.2%Counter-strafing

9.2°Preaim

572msReaction time

36.0%T opening success

46.6%CT opening success

0.55Enemies flashed / flash

11.1%Flash assists

6.61HE damage / grenade

9.75Flashes / 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 36.0338% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	0.04	19%	21 Aug →
inferno	13–6	0.05	19%	21 Aug →
dust2	11–13	0.03	24%	21 Aug →
anubis	13–11	0.00	14%	21 Aug →
inferno	4–13	-0.06	24%	21 Aug →
dust2	13–3	0.07	21%	21 Aug →
inferno	13–4	0.02	29%	21 Aug →
anubis	6–13	-0.08	20%	21 Aug →
dust2	13–10	-0.04	18%	18 Aug →
anubis	4–13	-0.06	19%	18 Aug →
dust2	1–13	-0.06	6%	17 Aug →
dust2	13–10	0.03	14%	17 Aug →
dust2	13–4	0.02	13%	16 Aug →
dust2	13–6	0.06	34%	16 Aug →
anubis	10–13	0.00	18%	16 Aug →
ancient	7–13	-0.02	15%	16 Aug →
cache	13–10	-0.01	12%	16 Aug →
cache	13–7	0.00	20%	15 Aug →
cache	5–13	-0.07	19%	15 Aug →
dust2	8–13	0.05	33%	14 Aug →
dust2	15–15	0.07	20%	14 Aug →
inferno	3–13	-0.00	13%	14 Aug →
dust2	15–15	0.02	18%	14 Aug →
ancient	13–10	-0.01	17%	14 Aug →
dust2	13–2	0.11	32%	14 Aug →
ancient	5–13	0.00	23%	5 Aug →
ancient	9–13	0.06	19%	5 Aug →
dust2	13–7	-0.02	31%	5 Aug →
dust2	9–13	0.03	13%	5 Aug →
inferno	8–13	0.03	15%	5 Aug →
dust2	13–11	0.03	15%	5 Aug →
ancient	12–16	-0.02	14%	4 Aug →
ancient	4–13	-0.05	7%	4 Aug →
dust2	13–5	-0.00	42%	2 Aug →
dust2	13–11	0.03	25%	2 Aug →
inferno	5–13	0.02	19%	2 Aug →
dust2	9–13	-0.03	18%	2 Aug →
cache	10–13	-0.04	13%	2 Aug →
dust2	13–9	0.06	21%	31 Jul →
dust2	6–13	-0.08	14%	31 Jul →
inferno	13–11	0.04	21%	31 Jul →
cache	13–16	-0.02	30%	30 Jul →
cache	3–13	-0.03	13%	30 Jul →
ancient	13–3	-0.04	13%	30 Jul →
dust2	13–10	0.01	25%	30 Jul →
dust2	13–8	0.05	22%	30 Jul →
ancient	13–6	0.10	16%	30 Jul →
dust2	11–13	-0.05	19%	30 Jul →
anubis	9–13	-0.03	11%	30 Jul →
dust2	7–13	-0.08	27%	30 Jul →
dust2	13–7	-0.06	12%	30 Jul →
ancient	13–11	0.02	17%	29 Jul →
ancient	13–6	0.07	15%	29 Jul →
cache	13–9	-0.00	10%	29 Jul →
cache	8–13	-0.05	16%	28 Jul →
cache	11–13	0.00	16%	28 Jul →
dust2	8–13	-0.02	17%	28 Jul →
nuke	13–11	-0.02	20%	28 Jul →
cache	13–4	0.11	24%	28 Jul →
inferno	13–7	0.07	12%	28 Jul →
anubis	9–13	0.03	18%	28 Jul →
dust2	4–13	-0.04	17%	27 Jul →
anubis	7–13	-0.06	20%	27 Jul →
inferno	13–6	0.03	18%	27 Jul →
ancient	6–13	-0.03	18%	27 Jul →
cache	13–7	-0.03	23%	26 Jul →
anubis	13–10	0.08	19%	26 Jul →
cache	18–22	-0.01	19%	25 Jul →
anubis	13–5	0.06	16%	25 Jul →
cache	9–13	-0.01	14%	25 Jul →
anubis	7–13	-0.04	8%	24 Jul →
cache	15–15	-0.03	9%	24 Jul →
ancient	7–13	0.00	9%	24 Jul →
anubis	8–13	0.01	18%	24 Jul →
anubis	8–13	0.05	28%	24 Jul →
ancient	5–13	0.02	18%	23 Jul →
dust2	16–13	0.08	22%	23 Jul →
cache	9–13	-0.03	15%	23 Jul →
ancient	7–13	0.03	11%	23 Jul →
dust2	7–13	-0.01	21%	23 Jul →
dust2	7–13	0.04	18%	21 Jul →
cache	15–15	0.06	21%	21 Jul →
cache	13–1	0.03	34%	21 Jul →
inferno	9–13	-0.01	16%	21 Jul →
inferno	13–6	0.01	26%	20 Jul →
ancient	13–10	-0.02	10%	20 Jul →
dust2	2–13	-0.11	14%	20 Jul →
dust2	6–13	-0.02	28%	20 Jul →
mirage	1–13	-0.07	17%	20 Jul →
dust2	13–6	0.06	14%	20 Jul →
dust2	13–7	-0.02	21%	20 Jul →
ancient	13–9	0.04	26%	20 Jul →
anubis	15–15	0.03	14%	20 Jul →
anubis	11–13	-0.01	15%	20 Jul →
cache	8–13	-0.02	18%	20 Jul →
inferno	13–11	0.06	32%	20 Jul →
dust2	13–11	0.03	22%	20 Jul →
anubis	4–13	0.00	10%	20 Jul →
dust2	11–13	-0.01	21%	16 Jul →
cache	13–11	0.04	33%	16 Jul →