lol — CS2 Stats

US76561198149193571[U:1:188927843]Steam profile ↗✓ No bans

686Tracked matches63%Win rate2020Tracked since

CSDB Rating7.1 StrongAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning55

Utility61

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWLWWWWLWLW

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

Player DNA

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

Aim8.4

Aggression7.7

Utility6.1

Positioning5.5

Opening Duels3.9

Clutch3.6

Strong 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 94% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim8.4

Positioning5.5

Utility6.1

Mechanics8.4

Opening Duels3.9

Win Impact9.4

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time601ms+32ms

first ⅓ avg 569ms → last ⅓ avg 601ms

Headshot accuracy24.6%−2.1%

first ⅓ avg 26.7% → last ⅓ avg 24.6%

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

13–0Biggest win — mirage

14Longest win streak

7–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 75% over 12anubisWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	32	21–11	66%	0.03
dust2	S	21	14–7	67%	0.03
cache	S	12	9–3	75%	0.02
ancient	D	11	3–8	27%	0.03
inferno	C	9	4–5	44%	0.02
anubis	D	7	0–7	0%	-0.00
nuke	—	4	2–2	50%	0.01
vertigo	—	2	1–1	50%	0.02
overpass	—	1	0–1	0%	-0.00
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

526Matches

55%Win rate

1.09Avg K/D

81.6ADR

56%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	132	54%	1.04	16.0
Ancient	75	55%	1.08	15.4
Anubis	73	58%	1.09	16.7
Inferno	46	48%	1.12	18.5
Dust2	26	58%	1.07	15.4
Vertigo	21	71%	1.16	17.2
Nuke	16	44%	1.06	16.3
Overpass	11	64%	1.03	16.2

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.

24.0%Headshot accuracy

37.4%Accuracy (enemy spotted)

38.1%Spray accuracy

87.9%Counter-strafing

9.7°Preaim

599msReaction time

35.6%T opening success

55.2%CT opening success

0.62Enemies flashed / flash

9.1%Flash assists

8.48HE damage / grenade

10.90Flashes / 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 35.6253% — 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.

0% win rate across 7 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
mirage	13–7	-0.05	15%	30 Jul →
mirage	8–13	0.02	25%	30 Jul →
mirage	13–7	0.12	30%	28 Jul →
cache	13–8	0.03	21%	28 Jul →
cache	13–11	0.06	21%	28 Jul →
cache	13–8	-0.02	30%	24 Jul →
mirage	11–13	0.05	25%	22 Jul →
cache	13–9	0.03	25%	13 Jul →
dust2	7–13	0.02	25%	11 Jul →
cache	13–7	-0.03	33%	8 Jul →
cache	9–13	0.04	33%	8 Jul →
mirage	13–4	-0.03	12%	5 Jul →
mirage	13–2	0.09	29%	5 Jul →
dust2	13–9	0.07	27%	5 Jul →
ancient	13–5	0.06	23%	3 Jul →
nuke	13–9	-0.06	24%	3 Jul →
ancient	13–10	0.11	30%	30 Jun →
cache	14–16	-0.01	21%	29 Jun →
dust2	7–13	-0.04	33%	29 Jun →
inferno	16–14	0.07	14%	28 Jun →
overpass	20–22	-0.00	21%	28 Jun →
cache	16–12	0.01	23%	27 Jun →
dust2	13–2	-0.02	20%	27 Jun →
mirage	13–8	-0.03	33%	26 Jun →
ancient	12–16	-0.01	22%	25 Jun →
dust2	10–13	-0.03	18%	25 Jun →
anubis	5–13	0.04	22%	25 Jun →
mirage	13–8	0.10	32%	25 Jun →
mirage	11–13	-0.05	12%	25 Jun →
dust2	13–4	-0.05	33%	25 Jun →
mirage	13–10	0.02	22%	25 Jun →
cache	13–8	0.03	31%	24 Jun →
dust2	13–7	-0.01	28%	24 Jun →
dust2	13–4	0.01	27%	14 Jun →
mirage	8–1	0.02	26%	14 Jun →
dust2	13–11	0.03	10%	14 Jun →
cache	13–11	-0.03	21%	14 Jun →
cache	13–6	0.07	33%	14 Jun →
mirage	13–4	0.07	26%	13 Jun →
dust2	13–5	0.01	30%	9 Jun →
dust2	7–2	0.14	26%	7 Jun →
dust2	13–2	0.17	32%	7 Jun →
dust2	13–10	0.11	36%	7 Jun →
mirage	11–13	0.12	30%	18 May →
cache	9–13	0.01	18%	17 May →
mirage	10–13	0.05	24%	16 May →
inferno	13–7	-0.00	28%	28 Mar →
ancient	15–15	0.01	28%	25 Mar →
dust2	13–2	0.11	32%	25 Mar →
mirage	13–9	0.11	32%	25 Mar →
nuke	13–1	0.19	42%	23 Mar →
mirage	13–0	0.12	25%	23 Mar →
mirage	13–7	0.06	26%	23 Mar →
dust2	5–13	0.11	41%	23 Mar →
mirage	13–4	0.05	31%	23 Mar →
dust2	13–2	0.02	25%	18 Jan →
anubis	12–12	0.04	38%	17 Jan →
dust2	2–13	-0.06	20%	19 Nov →
mirage	13–10	0.05	24%	17 Jul →
mirage	13–5	0.02	28%	23 Jun →
dust2	10–13	0.02	31%	23 Jun →
ancient	14–16	0.02	39%	10 Jan →
mirage	10–13	0.00	20%	10 Jan →
mirage	10–13	0.01	41%	10 Jan →
dust2	9–13	-0.02	29%	9 Jan →
mirage	8–13	0.08	23%	9 Jan →
mirage	6–13	-0.06	26%	9 Jan →
inferno	8–13	0.01	30%	8 Jan →
inferno	13–6	0.04	27%	4 Jan →
mirage	8–13	-0.02	26%	3 Jan →
ancient	4–13	-0.03	23%	3 Jan →
inferno	6–13	-0.02	24%	3 Jan →
dust2	13–5	0.05	33%	3 Jan →
vertigo	15–15	0.02	33%	2 Jan →
inferno	11–13	0.02	21%	2 Jan →
mirage	13–11	-0.02	24%	2 Jan →
anubis	5–13	-0.00	27%	2 Jan →
ancient	10–13	0.01	25%	2 Jan →
mirage	13–8	-0.02	22%	1 Jan →
ancient	14–16	0.02	23%	1 Jan →
anubis	7–13	-0.03	18%	27 Dec →
vertigo	13–4	0.01	29%	26 Dec →
ancient	9–13	-0.01	26%	26 Dec →
train	13–11	0.03	17%	26 Dec →
anubis	10–13	0.00	37%	17 Dec →
mirage	13–6	-0.03	24%	16 Jun →
inferno	9–13	-0.07	13%	15 Jun →
inferno	13–6	0.07	40%	15 Jun →
anubis	6–13	-0.03	16%	15 Jun →
dust2	13–11	0.00	35%	9 Jun →
mirage	13–10	0.01	25%	6 Mar →
mirage	13–7	0.05	39%	6 Mar →
mirage	13–7	-0.03	29%	29 Feb →
inferno	8–13	0.03	31%	29 Feb →
nuke	7–13	-0.02	41%	27 Feb →
mirage	9–13	-0.03	31%	22 Feb →
ancient	3–13	-0.06	21%	22 Feb →
ancient	13–5	0.15	20%	22 Feb →
nuke	11–13	-0.09	26%	21 Feb →
anubis	6–13	-0.04	26%	20 Feb →