L1me — CS2 Stats

US76561198388182487[U:1:427916759]Steam profile ↗✓ No bans

1,434Tracked matches36%Win rate2020Tracked since

1,494Hours in CS2Hrs last 2 wks

CSDB Rating4.0 Developing

Ladder ranks via Leetify

Performance scores

Aim43

Positioning57

Utility59

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateLLLLLLLLWW

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

Player DNA

Aim4.3

Aggression8.7

Utility5.9

Positioning5.7

Opening Duels4.8

Clutch0.8

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 donk 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.3

Positioning5.7

Utility5.9

Mechanics3.9

Opening Duels4.8

Win Impact0.2

Composite 4.0/10 (Developing), 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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time639ms+41ms

first ⅓ avg 597ms → last ⅓ avg 639ms

Headshot accuracy15.1%−2.5%

first ⅓ avg 17.6% → last ⅓ avg 15.1%

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

0.19Best rating — nuke 13–1

13–1Biggest win — nuke

6Longest win streak

L8Current streak

4–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 50% over 14infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	13–15	46%	0.01
cache	B	22	10–12	45%	0.02
mirage	B	14	7–7	50%	0.01
inferno	D	10	3–7	30%	0.01
nuke	D	9	3–6	33%	0.02
anubis	—	4	1–3	25%	-0.01
ancient	—	4	3–1	75%	0.01
vertigo	—	4	1–3	25%	0.08
office	—	3	2–1	67%	-0.02
overpass	—	2	2–0	100%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,018Lifetime kills

0.98K/D

2,216Matches

40.0%Match win rate

43.9%Headshot %

4.5%Shot accuracy

3,358MVPs

1,120Hours (in match)

1,678Bombs planted

453Bombs defused

Most-used weapons

AK-4714,446

M4A4 / M4A1-S6,443

AWP3,042

P2000 / USP-S2,002

Desert Eagle1,907

MP91,290

Galil AR1,030

MAC-101,002

Glock-18950

Dual Berettas905

Lifetime map wins

5,020dust2

2,261inferno

1,913nuke

500train

486office

368vertigo

35cbble

17safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

40Matches

45%Win rate

0.68Avg K/D

61.1ADR

37%Headshot %

Clutches & streaks

24%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	25%	0.59	10.0
Dust2	7	57%	0.82	10.3
Inferno	5	60%	0.79	10.8
Ancient	3	33%	1.05	15.3
Vertigo	1	0%	0.21	4.0
Nuke	1	0%	0.56	9.0
Overpass	1	100%	0.50	16.0
Anubis	1	100%	1.30	13.0

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.

15.1%Headshot accuracy

32.8%Accuracy (enemy spotted)

32.8%Spray accuracy

67.4%Counter-strafing

10.7°Preaim

629msReaction time

37.1%T opening success

61.4%CT opening success

0.63Enemies flashed / flash

10.6%Flash assists

7.20HE damage / grenade

8.53Flashes / 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 37.0732% — 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.

30% win rate across 10 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
inferno	8–13	-0.01	18%	7 Aug →
dust2	6–13	0.09	24%	7 Aug →
dust2	6–13	-0.00	9%	5 Aug →
dust2	5–13	-0.02	21%	5 Aug →
nuke	7–13	0.03	10%	5 Aug →
nuke	0–9	-0.17	22%	5 Aug →
inferno	5–9	0.11	15%	5 Aug →
dust2	7–13	-0.07	20%	5 Aug →
dust2	13–5	0.08	15%	4 Aug →
nuke	13–5	0.01	12%	28 Jul →
inferno	8–13	-0.03	10%	24 Jul →
dust2	6–13	-0.03	12%	24 Jul →
mirage	13–6	0.04	11%	24 Jul →
dust2	7–13	0.02	12%	24 Jul →
cache	10–13	-0.01	14%	22 Jul →
mirage	13–6	0.04	11%	21 Jul →
dust2	8–13	-0.03	13%	21 Jul →
cache	1–13	-0.02	13%	6 Jul →
cache	1–4	0.03	17%	6 Jul →
cache	13–8	0.15	13%	28 Jun →
nuke	8–13	0.04	25%	28 Jun →
dust2	13–11	0.01	15%	27 Jun →
dust2	13–10	-0.09	17%	26 Jun →
mirage	12–12	-0.07	14%	26 Jun →
cache	7–13	-0.02	11%	26 Jun →
dust2	13–9	-0.00	13%	23 May →
cache	13–3	0.05	26%	23 May →
mirage	8–13	-0.03	10%	20 May →
anubis	10–13	-0.00	18%	1 May →
cache	12–12	-0.00	24%	1 May →
anubis	13–4	-0.00	14%	30 Apr →
anubis	0–13	-0.02	13%	30 Apr →
cache	8–13	-0.07	7%	30 Apr →
cache	12–12	-0.02	10%	30 Apr →
cache	13–7	0.04	13%	30 Apr →
cache	9–13	0.01	10%	29 Apr →
cache	8–13	-0.01	14%	29 Apr →
cache	13–9	0.06	11%	29 Apr →
cache	13–3	0.06	17%	29 Apr →
cache	13–2	0.04	13%	29 Apr →
cache	13–5	0.04	7%	29 Apr →
cache	13–8	-0.01	13%	29 Apr →
cache	13–3	0.13	8%	29 Apr →
cache	10–13	-0.02	23%	29 Apr →
cache	6–10	0.16	22%	29 Apr →
cache	13–4	-0.00	14%	29 Apr →
cache	7–13	-0.10	22%	28 Apr →
dust2	13–8	-0.02	8%	28 Apr →
mirage	3–13	-0.05	10%	27 Apr →
overpass	19–17	-0.07	15%	27 Apr →
dust2	13–4	0.05	21%	27 Apr →
ancient	13–4	0.00	7%	27 Apr →
mirage	8–13	-0.01	5%	27 Apr →
dust2	13–5	-0.07	11%	27 Apr →
dust2	9–13	0.01	11%	26 Apr →
nuke	13–1	0.19	7%	26 Apr →
inferno	13–5	0.01	17%	26 Apr →
dust2	2–5	0.10	8%	25 Apr →
mirage	16–12	0.04	13%	25 Apr →
ancient	5–13	-0.04	20%	25 Apr →
dust2	13–6	0.05	20%	25 Apr →
vertigo	3–13	0.04	17%	25 Apr →
inferno	7–13	0.06	22%	25 Apr →
office	13–10	0.03	18%	24 Apr →
office	9–13	-0.08	18%	24 Apr →
nuke	13–11	-0.02	15%	24 Apr →
inferno	13–4	0.11	14%	24 Apr →
dust2	9–13	0.01	22%	24 Apr →
dust2	3–13	-0.07	7%	20 Apr →
ancient	13–9	0.05	18%	20 Apr →
mirage	13–1	0.09	27%	20 Apr →
nuke	10–13	0.04	30%	20 Apr →
ancient	13–8	0.02	21%	20 Apr →
dust2	12–12	-0.04	19%	20 Apr →
vertigo	9–2	0.18	43%	20 Apr →
mirage	11–13	0.04	16%	19 Apr →
dust2	10–13	-0.01	14%	19 Apr →
anubis	11–13	-0.01	14%	19 Apr →
office	13–7	0.00	28%	19 Apr →
vertigo	12–12	-0.02	17%	9 Apr →
vertigo	10–13	0.12	10%	9 Apr →
inferno	3–13	-0.09	5%	9 Apr →
dust2	15–15	-0.02	24%	8 Apr →
inferno	4–13	0.01	8%	8 Apr →
dust2	13–11	0.06	22%	8 Apr →
mirage	14–16	-0.01	19%	8 Apr →
nuke	6–13	-0.01	2%	8 Apr →
dust2	13–10	-0.02	13%	8 Apr →
nuke	15–15	0.05	16%	8 Apr →
inferno	13–8	0.02	16%	8 Apr →
inferno	8–13	-0.07	22%	8 Apr →
overpass	16–13	0.04	18%	8 Apr →
dust2	15–15	-0.04	13%	7 Apr →
dust2	13–10	0.03	17%	7 Apr →
mirage	13–6	-0.03	18%	7 Apr →
mirage	6–13	-0.04	16%	7 Apr →
dust2	13–6	0.09	21%	7 Apr →
mirage	13–8	-0.00	16%	7 Apr →
mirage	16–13	0.08	14%	6 Apr →
dust2	13–3	0.09	14%	6 Apr →