LENNGUTT — CS2 Stats

SE76561198151500753[U:1:191235025]Steam profile ↗✓ No bans

1,608Tracked matches40%Win rate2020Tracked since

CSDB Rating6.0 SolidAggressive Rifler

FaceitLevel 10 · 2,611 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning59

Utility48

0–100 skill scores via Leetify.

Recent form

COLD53–47Last 10053%Win rateLLLLWLLWLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression6.9

Utility4.8

Positioning5.9

Opening Duels4.0

Clutch4.2

Sharp aimerStrong CT-side opener

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 ropz 95% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 63% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim8.5

Positioning5.9

Utility4.8

Mechanics5.9

Opening Duels4.1

Win Impact1.7

Composite 6.0/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time547ms+10ms

first ⅓ avg 537ms → last ⅓ avg 547ms

Headshot accuracy27.7%+2.5%

first ⅓ avg 25.2% → last ⅓ avg 27.7%

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

0.17Best rating — ancient 13–5

13–0Biggest win — ancient

9Longest win streak

L4Current streak

16–6In matches decided by ≤2 rounds

16Overtime games

Map breakdown

overpassBest map · 83% over 6vertigoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	17	11–6	65%	0.04
anubis	B	14	7–7	50%	0.03
dust2	A	13	8–5	62%	0.03
nuke	B	13	7–6	54%	0.02
cache	C	11	4–7	36%	0.03
vertigo	D	7	2–5	29%	0.00
inferno	D	7	2–5	29%	0.03
train	S	6	4–2	67%	0.04
overpass	S	6	5–1	83%	0.05
mirage	A	5	3–2	60%	0.03
cache_b	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,718Matches

52%Win rate

1.26Avg K/D

78.2ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	284	51%	1.24	16.4
Ancient	206	56%	1.31	17.2
Anubis	168	47%	1.24	17.4
Inferno	146	53%	1.25	16.1
Dust2	137	45%	1.16	15.6
Nuke	101	49%	1.29	17.9
Train	53	55%	1.35	17.1
Overpass	36	58%	1.23	15.9

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.

27.4%Headshot accuracy

36.1%Accuracy (enemy spotted)

35.7%Spray accuracy

76.5%Counter-strafing

7.8°Preaim

556msReaction time

28.8%T opening success

62.9%CT opening success

0.52Enemies flashed / flash

11.3%Flash assists

8.44HE damage / grenade

5.29Flashes / 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 28.7791% — below the 40% mark we flag

Spend your practice time on Vertigo

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	0.00	38%	26 Aug →
cache	9–13	0.08	31%	23 Aug →
ancient	8–13	0.03	32%	23 Aug →
ancient	7–13	-0.00	13%	22 Aug →
dust2	16–12	0.02	29%	22 Aug →
vertigo	11–13	-0.02	17%	16 Aug →
dust2	13–16	0.01	27%	9 Aug →
nuke	16–14	0.01	22%	9 Aug →
cache	9–13	-0.02	34%	9 Aug →
vertigo	3–13	-0.01	32%	9 Aug →
cache	13–16	-0.02	36%	2 Aug →
anubis	13–10	0.04	30%	2 Aug →
train	13–11	0.05	30%	2 Aug →
ancient	13–5	0.17	32%	2 Aug →
cache	13–16	0.01	22%	2 Aug →
nuke	12–16	-0.01	36%	1 Aug →
anubis	13–10	0.04	17%	1 Aug →
cache	12–16	0.05	18%	1 Aug →
anubis	13–5	0.01	28%	26 Jul →
anubis	5–13	-0.06	14%	19 Jul →
ancient	11–13	-0.06	22%	19 Jul →
inferno	7–13	0.00	22%	18 Jul →
cache	13–11	-0.01	40%	18 Jul →
dust2	7–13	-0.07	22%	5 Jul →
inferno	13–11	-0.01	28%	5 Jul →
inferno	7–13	0.08	19%	5 Jul →
overpass	13–5	0.07	28%	4 Jul →
ancient	13–0	0.03	26%	4 Jul →
overpass	13–11	0.05	41%	4 Jul →
anubis	14–16	0.03	32%	4 Jul →
anubis	6–13	-0.01	34%	4 Jul →
dust2	2–13	-0.02	33%	4 Jul →
ancient	13–11	0.03	26%	3 Jul →
cache	6–13	0.12	22%	3 Jul →
nuke	13–6	0.07	30%	3 Jul →
train	11–13	-0.00	29%	2 Jul →
anubis	8–13	0.03	24%	29 Jun →
nuke	16–13	0.01	43%	28 Jun →
mirage	6–13	-0.04	30%	28 Jun →
inferno	6–13	-0.03	36%	28 Jun →
anubis	13–4	0.17	33%	27 Jun →
dust2	13–11	0.05	21%	25 Jun →
anubis	9–13	0.05	36%	23 Jun →
mirage	25–21	0.05	37%	23 Jun →
cache	13–4	0.05	19%	22 Jun →
nuke	16–12	0.05	26%	17 Jun →
ancient	13–11	0.00	16%	11 Jun →
nuke	13–5	0.11	25%	11 Jun →
cache	14–16	0.06	22%	9 Jun →
nuke	10–13	0.03	18%	7 May →
ancient	13–8	0.11	30%	7 May →
cache	13–11	-0.01	41%	7 May →
cache	13–6	0.03	17%	2 May →
mirage	13–8	0.00	36%	18 Apr →
overpass	8–13	0.03	37%	16 Mar →
dust2	13–8	-0.01	33%	15 Mar →
nuke	15–19	0.03	40%	14 Mar →
vertigo	9–13	-0.02	32%	10 Mar →
ancient	13–9	0.05	23%	10 Mar →
vertigo	13–10	0.01	38%	10 Mar →
train	13–9	0.04	40%	10 Mar →
dust2	10–5	0.07	30%	7 Mar →
vertigo	8–13	-0.02	30%	4 Mar →
anubis	9–13	-0.01	33%	3 Mar →
dust2	13–8	0.08	35%	3 Mar →
ancient	9–13	0.01	33%	3 Mar →
ancient	13–10	0.11	31%	1 Mar →
ancient	3–13	-0.04	19%	1 Mar →
ancient	13–7	0.08	19%	28 Feb →
dust2	16–12	-0.03	31%	28 Feb →
nuke	11–13	-0.04	19%	27 Feb →
ancient	16–14	0.08	17%	27 Feb →
ancient	9–13	0.05	23%	27 Feb →
overpass	13–11	0.11	35%	27 Feb →
train	13–3	0.11	19%	27 Feb →
dust2	13–3	0.14	8%	26 Feb →
ancient	13–10	0.02	20%	26 Feb →
train	13–11	0.04	27%	25 Feb →
vertigo	16–14	0.06	31%	21 Feb →
ancient	13–11	0.04	31%	21 Feb →
overpass	13–5	0.07	27%	20 Feb →
nuke	13–9	-0.03	19%	19 Feb →
nuke	7–13	0.11	28%	18 Feb →
inferno	7–13	0.06	32%	16 Feb →
anubis	13–8	-0.01	29%	16 Feb →
train	8–13	0.01	14%	16 Feb →
dust2	13–7	0.05	33%	15 Feb →
anubis	13–6	0.08	37%	12 Feb →
inferno	8–13	0.10	34%	11 Feb →
inferno	13–11	0.04	26%	11 Feb →
vertigo	8–13	0.01	12%	9 Feb →
anubis	13–10	0.03	29%	8 Feb →
mirage	13–5	0.12	29%	6 Feb →
cache_b	8–13	-0.01	21%	6 Feb →
nuke	13–7	-0.05	26%	5 Feb →
overpass	13–11	-0.03	25%	4 Feb →
anubis	9–13	0.04	32%	3 Feb →
dust2	6–13	0.07	37%	1 Feb →
nuke	7–13	-0.04	26%	1 Feb →
mirage	8–13	0.02	14%	30 Jan →