lenny_scm — CS2 Stats

76561198342069515[U:1:381803787]✓ No bans

1,185Tracked matches48%Win rate2020Tracked since

CSDB Rating4.8 DevelopingPassive Rifler

FaceitLevel 7 · 1,512 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning35

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWWLTLWLWLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim7.3

Aggression3.9

Utility4.9

Positioning3.5

Opening Duels0.3

Clutch4.2

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 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Reaction time. 592ms 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

Aim7.3

Positioning3.5

Utility4.9

Mechanics6.2

Opening Duels0.3

Win Impact4.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time587ms+9ms

first ⅓ avg 578ms → last ⅓ avg 587ms

Headshot accuracy19.0%+0.9%

first ⅓ avg 18.0% → 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

0.13Best rating — vertigo 13–4

13–1Biggest win — dust2

7Longest win streak

W2Current streak

5–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 67% over 12infernoWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	19	11–8	58%	-0.02
inferno	C	16	6–10	38%	-0.03
mirage	C	14	6–8	43%	-0.02
anubis	B	14	7–7	50%	-0.00
nuke	S	12	8–4	67%	0.01
ancient	B	10	5–5	50%	-0.00
overpass	B	6	3–3	50%	0.01
cache	—	3	1–2	33%	-0.04
vertigo	—	2	2–0	100%	0.11
poseidon	—	1	0–1	0%	-0.02
train	—	1	0–1	0%	-0.04
alpine	—	1	0–1	0%	-0.04
warden	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

352Matches

50%Win rate

0.87Avg K/D

69.7ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	70	59%	0.99	13.4
Nuke	52	56%	0.89	14.1
Inferno	36	44%	0.89	14.2
Dust2	36	42%	0.93	13.2
Ancient	29	31%	0.83	13.4
Mirage	27	44%	0.85	12.2
Vertigo	25	56%	0.74	12.2
Overpass	8	25%	0.54	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.

19.6%Headshot accuracy

36.0%Accuracy (enemy spotted)

39.1%Spray accuracy

78.0%Counter-strafing

10.0°Preaim

592msReaction time

29.7%T opening success

32.6%CT opening success

0.42Enemies flashed / flash

3.7%Flash assists

8.23HE damage / grenade

7.59Flashes / 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.

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 0.4248 — 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 29.6581% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–12	0.03	30%	28 Aug →
inferno	16–14	0.04	20%	28 Aug →
mirage	10–13	-0.02	32%	28 Aug →
poseidon	8–8	-0.02	10%	28 Aug →
anubis	11–13	0.01	26%	28 Aug →
inferno	13–8	-0.03	14%	28 Aug →
mirage	13–16	-0.05	15%	28 Aug →
anubis	13–11	0.02	15%	25 Aug →
ancient	11–13	-0.09	24%	22 Aug →
inferno	7–13	0.01	15%	22 Aug →
mirage	4–13	-0.05	21%	22 Aug →
overpass	7–9	-0.07	16%	22 Aug →
anubis	10–13	0.00	18%	22 Aug →
dust2	13–7	-0.05	28%	22 Aug →
cache	13–6	-0.02	22%	21 Aug →
inferno	8–13	-0.02	30%	21 Aug →
nuke	13–8	0.04	30%	21 Aug →
dust2	13–8	-0.05	16%	21 Aug →
cache	7–13	-0.04	20%	15 Aug →
overpass	12–12	0.03	13%	15 Aug →
mirage	5–13	-0.09	17%	15 Aug →
anubis	16–13	-0.01	23%	15 Aug →
anubis	13–7	0.05	14%	15 Aug →
inferno	5–13	-0.09	15%	15 Aug →
dust2	11–13	-0.10	22%	15 Aug →
anubis	11–13	-0.10	7%	15 Aug →
dust2	13–5	0.07	19%	15 Aug →
inferno	14–16	-0.05	22%	15 Aug →
inferno	16–14	-0.00	20%	9 Aug →
mirage	13–3	0.02	6%	9 Aug →
dust2	13–3	-0.01	13%	9 Aug →
dust2	8–13	-0.02	11%	9 Aug →
nuke	16–13	0.02	22%	9 Aug →
anubis	5–13	-0.04	15%	7 Aug →
dust2	1–13	-0.09	24%	7 Aug →
mirage	13–6	-0.04	26%	2 Aug →
anubis	13–9	-0.09	13%	2 Aug →
dust2	13–3	-0.01	17%	2 Aug →
dust2	13–1	-0.03	19%	2 Aug →
dust2	13–8	-0.04	25%	2 Aug →
ancient	13–5	0.02	20%	10 Jul →
mirage	13–8	0.06	15%	10 Jul →
dust2	12–12	0.03	22%	10 Jul →
anubis	13–10	0.05	14%	10 Jul →
inferno	7–13	-0.05	35%	10 Jul →
dust2	6–0	0.06	27%	5 Jul →
dust2	9–13	0.08	12%	3 Jul →
mirage	9–2	0.01	24%	3 Jul →
overpass	13–7	0.02	37%	3 Jul →
anubis	4–13	0.03	19%	3 Jul →
inferno	13–8	-0.01	16%	3 Jul →
mirage	7–13	0.01	24%	3 Jul →
inferno	13–5	0.01	22%	2 Jul →
inferno	3–13	-0.09	8%	2 Jul →
ancient	13–10	-0.01	11%	2 Jul →
nuke	10–13	-0.03	24%	2 Jul →
anubis	12–12	-0.04	18%	21 Jun →
anubis	13–5	0.07	13%	21 Jun →
dust2	9–13	-0.03	50%	21 Jun →
dust2	13–9	-0.04	11%	20 Jun →
nuke	16–13	-0.03	14%	4 Jun →
inferno	12–16	-0.08	13%	4 Jun →
cache	0–13	-0.05	27%	10 May →
ancient	15–15	0.01	18%	9 May →
nuke	13–10	0.01	27%	9 May →
overpass	13–8	-0.01	13%	9 May →
inferno	16–12	0.00	16%	9 May →
train	10–13	-0.04	17%	21 Mar →
vertigo	13–3	0.08	24%	21 Mar →
nuke	1–13	0.01	42%	21 Mar →
ancient	2–13	-0.06	14%	21 Mar →
overpass	13–6	0.09	30%	21 Mar →
alpine	8–13	-0.04	17%	21 Mar →
ancient	13–6	0.03	23%	15 Mar →
ancient	7–13	-0.01	32%	15 Mar →
dust2	8–13	-0.03	28%	15 Mar →
anubis	5–13	-0.03	10%	14 Mar →
ancient	16–13	0.00	14%	11 Mar →
dust2	7–6	-0.06	21%	1 Mar →
dust2	13–10	-0.02	15%	1 Mar →
nuke	7–13	-0.06	19%	21 Feb →
ancient	13–8	0.07	16%	20 Feb →
inferno	11–13	-0.03	14%	16 Feb →
nuke	13–4	0.02	14%	16 Feb →
nuke	16–12	-0.00	9%	16 Feb →
ancient	5–13	0.02	15%	16 Feb →
mirage	10–13	-0.03	16%	16 Feb →
inferno	10–13	-0.00	16%	16 Feb →
mirage	10–13	-0.05	16%	16 Feb →
mirage	8–13	0.01	10%	16 Feb →
overpass	11–13	-0.01	10%	14 Feb →
nuke	13–10	0.06	18%	14 Feb →
warden	12–12	0.05	14%	14 Feb →
vertigo	13–4	0.13	24%	14 Feb →
dust2	10–13	0.01	15%	14 Feb →
mirage	13–11	-0.05	26%	14 Feb →
inferno	8–13	-0.04	16%	14 Feb →
mirage	8–4	-0.03	10%	14 Feb →
anubis	13–6	0.06	18%	13 Feb →
nuke	6–13	-0.00	14%	13 Feb →