Leny_GG — CS2 Stats

76561199480232449[U:1:1519966721]✓ No bans

293Tracked matches40%Win rate2025Tracked since

CSDB Rating2.5 Learning

FaceitLevel 1 · 405 ELOTop 100.0% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim23

Positioning40

Utility43

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLWLLWLLLLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Aim2.3

Aggression5.0

Utility4.3

Positioning4.0

Opening Duels0.2

Clutch4.8

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 NiKo 71% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 670ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim2.3

Positioning4.0

Utility4.3

Mechanics3.1

Opening Duels0.3

Win Impact1.7

Composite 2.5/10 (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-0.03+0.02

first ⅓ avg -0.06 → last ⅓ avg -0.03

Reaction time672ms+5ms

first ⅓ avg 667ms → last ⅓ avg 672ms

Headshot accuracy12.5%−0.4%

first ⅓ avg 12.8% → last ⅓ avg 12.5%

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

0.13Best rating — inferno 9–5

13–1Biggest win — nuke

4Longest win streak

10–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 48% over 25anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	12–13	48%	-0.02
inferno	C	22	9–13	41%	-0.06
mirage	C	18	7–11	39%	-0.03
nuke	C	10	4–6	40%	-0.06
anubis	D	6	2–4	33%	-0.04
overpass	D	6	2–4	33%	-0.05
office	—	4	3–1	75%	-0.04
vertigo	—	3	1–2	33%	-0.05
ancient	—	3	1–2	33%	-0.06
train	—	2	1–1	50%	-0.07
cache	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches

23%Win rate

0.45Avg K/D

45.4ADR

34%Headshot %

Clutches & streaks

44%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	20%	0.43	7.5
Dust2	6	33%	0.27	4.7
Nuke	6	17%	0.50	7.0
Inferno	3	33%	0.69	8.0
Anubis	3	33%	0.64	13.0
Ancient	2	0%	0.34	5.0

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.

12.3%Headshot accuracy

27.2%Accuracy (enemy spotted)

29.2%Spray accuracy

64.1%Counter-strafing

10.7°Preaim

670msReaction time

32.1%T opening success

29.8%CT opening success

0.57Enemies flashed / flash

3.3%Flash assists

5.52HE damage / grenade

10.12Flashes / 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 12.3261% — 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 32.1339% — 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.

33% win rate across 6 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
dust2	1–13	0.03	14%	14 Aug →
nuke	13–10	0.03	17%	13 Aug →
mirage	10–13	0.01	10%	13 Aug →
anubis	8–13	-0.11	12%	12 Aug →
mirage	13–11	-0.12	18%	12 Aug →
mirage	10–13	-0.07	14%	12 Aug →
dust2	7–13	-0.06	21%	12 Aug →
mirage	6–13	-0.03	9%	12 Aug →
dust2	7–13	-0.06	21%	12 Aug →
cache	4–13	-0.09	3%	11 Aug →
dust2	9–13	-0.08	13%	11 Aug →
inferno	7–13	-0.05	6%	10 Aug →
office	13–5	-0.07	16%	10 Aug →
train	13–11	-0.03	19%	10 Aug →
dust2	13–9	-0.08	8%	10 Aug →
mirage	10–13	-0.03	7%	10 Aug →
inferno	3–9	-0.13	8%	10 Aug →
office	8–9	-0.03	25%	3 Jul →
dust2	13–6	0.02	18%	3 Jul →
mirage	13–4	-0.06	8%	3 Jul →
mirage	13–2	0.07	19%	3 Jul →
nuke	11–13	0.00	4%	2 Jul →
overpass	10–13	-0.00	10%	2 Jul →
dust2	13–7	-0.01	12%	2 Jul →
mirage	13–7	-0.01	10%	2 Jul →
mirage	11–13	0.04	10%	2 Jul →
dust2	7–13	-0.02	4%	2 Jul →
nuke	6–13	-0.03	8%	1 Jul →
anubis	13–11	-0.01	7%	1 Jul →
anubis	10–13	-0.07	15%	1 Jul →
dust2	6–13	-0.02	17%	1 Jul →
nuke	13–1	-0.02	18%	1 Jul →
anubis	10–13	0.02	12%	1 Jul →
dust2	13–7	0.04	8%	1 Jul →
dust2	4–13	-0.04	9%	30 Jun →
dust2	13–3	0.13	11%	30 Jun →
dust2	9–13	-0.00	14%	30 Jun →
dust2	13–5	0.04	5%	30 Jun →
mirage	11–13	0.05	14%	29 Jun →
dust2	13–11	0.13	19%	29 Jun →
mirage	3–13	-0.09	11%	29 Jun →
inferno	9–2	0.10	13%	29 Jun →
mirage	13–9	-0.07	11%	19 Jun →
anubis	8–13	-0.06	6%	18 Jun →
overpass	3–9	-0.17	7%	18 Jun →
inferno	8–8	-0.10	17%	18 Jun →
inferno	2–9	-0.21	10%	18 Jun →
inferno	5–9	-0.15	4%	18 Jun →
mirage	12–12	-0.03	6%	17 Jun →
inferno	7–9	-0.14	13%	17 Jun →
vertigo	11–13	0.03	11%	17 Jun →
dust2	7–13	-0.07	7%	17 Jun →
anubis	13–6	-0.00	14%	16 Jun →
overpass	10–13	-0.06	3%	16 Jun →
inferno	6–9	-0.20	18%	16 Jun →
mirage	13–9	0.03	17%	15 Jun →
inferno	8–8	0.04	10%	13 Jun →
dust2	16–14	-0.08	9%	11 Jun →
nuke	13–2	0.02	13%	11 Jun →
mirage	8–13	0.01	24%	10 Jun →
vertigo	12–12	-0.08	10%	8 Jun →
dust2	10–5	-0.05	0%	8 Jun →
nuke	5–9	-0.18	15%	8 Jun →
inferno	13–10	-0.01	9%	3 Jun →
dust2	11–13	-0.02	21%	3 Jun →
vertigo	13–8	-0.09	4%	3 Jun →
inferno	9–7	0.02	11%	31 May →
inferno	9–1	0.06	40%	29 May →
ancient	6–13	-0.07	12%	29 May →
inferno	3–9	-0.13	10%	20 May →
office	12–12	-0.05	0%	20 May →
train	4–13	-0.10	17%	19 May →
dust2	16–14	-0.03	21%	16 May →
overpass	6–9	-0.08	0%	16 May →
dust2	13–8	-0.07	14%	12 May →
mirage	6–13	-0.05	17%	12 May →
inferno	9–7	-0.01	12%	12 May →
dust2	11–13	-0.08	0%	9 May →
nuke	13–9	-0.03	6%	7 May →
inferno	6–13	-0.09	0%	27 Apr →
dust2	12–12	-0.06	9%	26 Apr →
office	9–3	-0.03	15%	24 Apr →
overpass	13–9	-0.08	15%	24 Apr →
overpass	9–3	0.08	18%	22 Apr →
mirage	13–11	-0.06	8%	22 Apr →
nuke	6–9	-0.08	43%	22 Apr →
inferno	8–8	-0.13	11%	22 Apr →
inferno	8–8	-0.16	0%	18 Apr →
nuke	2–9	-0.13	9%	18 Apr →
ancient	11–13	-0.09	12%	18 Apr →
dust2	10–13	-0.09	8%	18 Apr →
inferno	9–5	0.13	9%	14 Apr →
inferno	9–2	-0.13	22%	14 Apr →
inferno	4–9	-0.07	18%	11 Apr →
inferno	9–0	0.04	22%	11 Apr →
nuke	5–9	-0.14	0%	11 Apr →
ancient	13–10	-0.02	8%	11 Apr →
mirage	8–13	-0.07	14%	11 Apr →
inferno	9–5	-0.01	19%	9 Apr →
dust2	13–3	0.00	17%	9 Apr →