S67L — CS2 Stats

76561198855479449[U:1:895213721]Steam profile ↗

1,565Tracked matches79%Win rate2023Tracked since

1,868Hours in CS41Hrs last 2 wks

CSDB Rating7.8 StrongAggressive Rifler

Premier CS Rating30,405Top 1% of 819 CSDB-tracked playersGold band · top ~0.6% of ranked players (population est.)

CSDB Leaderboard#17 of 5472 tracked

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning66

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY70–26–4Last 10070%Win rateWWWWWLWWWL

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

Player DNA

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

Aim9.0

Aggression7.7

Utility5.2

Positioning6.6

Opening Duels4.0

Clutch3.4

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 b1t 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 90 — the mechanical foundation is a clear strength.

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 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning6.6

Utility5.2

Mechanics8.3

Opening Duels4.0

Win Impact10.0

Composite 7.8/10 (Strong), 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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time533ms−28ms

first ⅓ avg 561ms → last ⅓ avg 533ms

Headshot accuracy31.1%+1.9%

first ⅓ avg 29.2% → last ⅓ avg 31.1%

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

0.15Best rating — dust2 13–3

13–2Biggest win — nuke

7Longest win streak

W5Current streak

5–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 82% over 17infernoWeakest map · 47% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	39	29–10	74%	0.03
inferno	B	19	9–10	47%	-0.00
anubis	S	17	14–3	82%	0.03
cache	S	12	8–4	67%	0.03
mirage	S	7	5–2	71%	0.02
ancient	S	5	4–1	80%	0.03
nuke	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,986Lifetime kills

1.47K/D · Top 10% of tracked players

2,740Matches

58.4%Match win rate · Top 5% of tracked players

67.0%Headshot % · Top 5% of tracked players

0.7%Shot accuracy

9,664MVPs

2,340Hours (in match)

1,247Bombs planted

1,266Bombs defused

Most-used weapons

AK-4732,432

M4A4 / M4A1-S13,563

Desert Eagle4,040

P2000 / USP-S3,836

AWP2,483

Glock-181,790

MP91,597

Tec-91,185

Galil AR1,028

MAC-10891

Lifetime map wins

9,906dust2

3,006inferno

1,336nuke

904vertigo

388train

107office

74italy

56lake

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

Faceit stats

Combat

109Matches

58%Win rate

1.18Avg K/D

83.1ADR

60%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	22	50%	1.02	13.1
Mirage	22	64%	1.21	17.4
Inferno	19	63%	1.14	16.3
Anubis	17	59%	1.28	18.7
Ancient	12	42%	0.91	14.3
Nuke	8	50%	0.89	12.6
Overpass	8	75%	2.14	21.4
Cache	1	100%	1.40	14.0

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.

30.9%Headshot accuracy

33.4%Accuracy (enemy spotted)

36.9%Spray accuracy

87.5%Counter-strafing

8.9°Preaim

526msReaction time

37.3%T opening success

55.0%CT opening success

0.46Enemies flashed / flash

9.8%Flash assists

7.74HE damage / grenade

6.03Flashes / 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 0.463 — 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 37.2507% — 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.

47% win rate across 19 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
dust2	13–7	0.12	31%	27 Aug →
inferno	13–8	-0.00	30%	27 Aug →
anubis	13–10	0.06	36%	26 Aug →
dust2	13–6	0.08	25%	26 Aug →
dust2	16–14	0.02	25%	25 Aug →
cache	4–13	-0.01	19%	25 Aug →
cache	13–5	0.06	31%	25 Aug →
anubis	16–13	0.03	37%	24 Aug →
inferno	13–9	0.01	32%	24 Aug →
dust2	10–13	0.02	44%	21 Aug →
dust2	13–5	-0.00	29%	21 Aug →
dust2	13–8	0.08	36%	20 Aug →
ancient	13–4	0.06	34%	19 Aug →
dust2	13–5	0.01	12%	19 Aug →
dust2	13–5	0.02	40%	19 Aug →
anubis	16–13	0.01	38%	19 Aug →
dust2	2–13	-0.06	43%	19 Aug →
anubis	13–8	0.05	31%	19 Aug →
cache	13–6	0.01	32%	19 Aug →
anubis	13–5	0.00	29%	19 Aug →
dust2	5–13	-0.02	30%	19 Aug →
inferno	13–6	-0.01	29%	19 Aug →
inferno	15–15	0.03	35%	18 Aug →
ancient	13–10	-0.00	17%	16 Aug →
dust2	10–13	-0.00	20%	15 Aug →
anubis	13–9	0.01	38%	15 Aug →
dust2	14–16	0.04	27%	15 Aug →
dust2	13–7	-0.04	35%	15 Aug →
anubis	13–9	0.02	25%	15 Aug →
anubis	13–10	0.05	37%	15 Aug →
dust2	13–8	0.11	31%	15 Aug →
nuke	13–2	0.01	32%	15 Aug →
dust2	13–7	0.01	39%	15 Aug →
mirage	6–13	0.01	34%	15 Aug →
dust2	13–3	0.07	27%	15 Aug →
dust2	13–9	0.05	34%	15 Aug →
dust2	3–13	-0.07	29%	15 Aug →
anubis	16–14	0.03	37%	14 Aug →
dust2	13–11	0.00	29%	14 Aug →
inferno	11–13	0.04	32%	14 Aug →
anubis	13–11	0.01	33%	14 Aug →
ancient	13–6	0.08	33%	14 Aug →
inferno	13–11	0.00	27%	14 Aug →
mirage	2–13	-0.02	18%	14 Aug →
dust2	7–13	-0.00	22%	14 Aug →
mirage	13–3	0.01	32%	14 Aug →
dust2	13–6	0.06	44%	14 Aug →
inferno	13–3	-0.03	30%	13 Aug →
dust2	16–13	0.02	34%	13 Aug →
dust2	13–2	0.08	42%	13 Aug →
anubis	13–9	0.03	29%	13 Aug →
ancient	10–13	0.03	22%	13 Aug →
ancient	13–10	-0.01	39%	13 Aug →
dust2	11–13	0.01	34%	13 Aug →
inferno	15–15	-0.00	27%	13 Aug →
dust2	13–8	0.03	32%	13 Aug →
anubis	13–9	0.03	26%	11 Aug →
dust2	13–3	0.07	24%	11 Aug →
mirage	13–2	0.06	39%	8 Aug →
mirage	13–9	0.00	29%	8 Aug →
mirage	13–3	0.01	30%	7 Aug →
dust2	13–3	0.06	31%	7 Aug →
dust2	10–13	-0.02	44%	7 Aug →
dust2	16–13	0.06	27%	3 Aug →
dust2	13–3	0.15	25%	3 Aug →
dust2	13–5	0.03	40%	2 Aug →
inferno	9–13	-0.05	30%	28 Jul →
mirage	13–9	0.03	26%	28 Jul →
cache	14–16	0.00	27%	27 Jul →
inferno	8–13	-0.05	26%	27 Jul →
inferno	13–8	-0.00	31%	26 Jul →
dust2	13–2	0.04	47%	26 Jul →
anubis	13–8	-0.02	18%	26 Jul →
inferno	14–16	0.03	30%	26 Jul →
cache	13–6	-0.02	27%	26 Jul →
anubis	15–15	0.04	37%	25 Jul →
dust2	13–8	-0.00	32%	25 Jul →
cache	13–10	0.07	34%	25 Jul →
inferno	4–13	-0.05	28%	25 Jul →
cache	8–13	0.03	23%	25 Jul →
dust2	0–2	0.00	0%	24 Jul →
anubis	15–15	0.07	27%	24 Jul →
dust2	13–5	0.13	29%	24 Jul →
cache	13–6	0.05	25%	24 Jul →
inferno	13–7	0.08	39%	23 Jul →
dust2	13–4	0.04	32%	23 Jul →
dust2	13–10	-0.02	32%	23 Jul →
cache	7–13	0.02	64%	23 Jul →
inferno	13–10	0.00	23%	23 Jul →
cache	13–2	-0.00	21%	23 Jul →
dust2	13–3	0.06	29%	22 Jul →
inferno	0–2	-0.11	0%	22 Jul →
dust2	13–3	0.12	39%	22 Jul →
inferno	1–13	-0.01	58%	22 Jul →
anubis	5–13	-0.00	27%	22 Jul →
inferno	13–9	0.01	28%	22 Jul →
anubis	13–4	0.01	18%	22 Jul →
cache	13–8	0.08	25%	22 Jul →
inferno	11–13	0.05	30%	22 Jul →
cache	13–9	0.04	34%	22 Jul →