L3XOR — CS2 Stats

PL76561198184443643[U:1:224177915]Steam profile ↗✓ No bans

304Tracked matches31%Win rate2022Tracked since

443Hours in CS

CSDB Rating3.0 Learning

Ladder ranks via Leetify

Performance scores

Aim32

Positioning45

Utility10

0–100 skill scores via Leetify.

Recent form

STEADY31–62–7Last 10031%Win rateLLWLLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim3.2

Aggression8.6

Utility1.0

Positioning4.5

Opening Duels3.5

Clutch3.0

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 70% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 726ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.2

Positioning4.5

Utility1.0

Mechanics4.2

Opening Duels3.5

Win Impact0.0

Composite 3.0/10 (Learning), 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 rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time725ms−11ms

first ⅓ avg 737ms → last ⅓ avg 725ms

Headshot accuracy14.6%−1.0%

first ⅓ avg 15.6% → last ⅓ avg 14.6%

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

0.14Best rating — anubis 13–6

13–1Biggest win — ancient

2Longest win streak

L2Current streak

2–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 57% over 7mirageWeakest map · 24% over 45

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	45	11–34	24%	-0.02
inferno	D	15	5–10	33%	-0.02
ancient	D	13	4–9	31%	-0.01
anubis	A	7	4–3	57%	0.01
dust2	C	7	3–4	43%	-0.03
nuke	—	4	1–3	25%	-0.02
overpass	—	4	0–4	0%	-0.07
cache	—	2	2–0	100%	0.00
train	—	2	1–1	50%	0.01
vertigo	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (24% over 45). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,286Lifetime kills

0.93K/D

1,337Matches

40.8%Match win rate

34.6%Headshot %

15.6%Shot accuracy · Top 25% of tracked players

2,911MVPs

443Hours (in match)

1,010Bombs planted

208Bombs defused

Most-used weapons

AK-475,780

AWP3,650

M4A4 / M4A1-S2,694

Desert Eagle2,264

P2000 / USP-S1,075

P90979

Glock-18593

UMP-45560

MP7379

Knife353

Lifetime map wins

1,759inferno

1,035dust2

489nuke

464train

314cbble

140vertigo

95bank

68lake

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

Faceit stats

Combat

87Matches

44%Win rate

0.66Avg K/D

58.6ADR

32%Headshot %

Clutches & streaks

35%1v1 clutch win

15%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	54%	0.80	11.7
Inferno	8	38%	0.73	13.5
Vertigo	7	57%	0.42	6.9
Anubis	7	29%	0.72	11.7
Dust2	6	33%	0.54	9.0
Nuke	3	67%	1.38	15.3
Ancient	3	0%	0.59	9.7
Cache	3	67%	0.95	11.7

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.

13.8%Headshot accuracy

29.5%Accuracy (enemy spotted)

33.8%Spray accuracy

69.0%Counter-strafing

9.7°Preaim

726msReaction time

36.8%T opening success

51.1%CT opening success

0.27Enemies flashed / flash

0.0%Flash assists

3.67HE damage / grenade

2.15Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7956% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 725.638ms — above the 700ms mark we flag
Aim Training →
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 0.269 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

24% win rate across 45 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.06	20%	26 Jul →
mirage	13–16	-0.06	13%	25 Jul →
ancient	13–1	0.06	19%	18 Jul →
nuke	11–13	0.03	15%	18 Jul →
mirage	11–13	-0.04	5%	16 Jul →
anubis	13–6	0.14	18%	14 Jul →
cache	13–8	0.06	18%	14 Jul →
ancient	2–13	-0.09	6%	9 Jul →
mirage	11–13	-0.07	14%	21 Jun →
ancient	13–7	0.08	24%	20 Jun →
mirage	4–13	-0.04	20%	20 Jun →
inferno	8–13	-0.06	15%	20 Jun →
inferno	11–13	-0.08	0%	19 Jun →
anubis	6–13	-0.07	8%	19 Jun →
ancient	3–13	-0.06	5%	1 Jun →
mirage	13–10	-0.03	9%	1 Jun →
ancient	5–13	-0.03	20%	30 May →
cache	13–7	-0.06	19%	29 May →
inferno	11–13	0.08	18%	21 May →
mirage	9–13	-0.01	19%	21 May →
mirage	13–4	0.05	9%	21 May →
mirage	9–13	-0.11	0%	19 May →
mirage	15–15	0.03	8%	4 May →
mirage	13–5	-0.01	13%	25 Apr →
vertigo	3–9	-0.12	0%	19 Apr →
nuke	9–13	-0.01	8%	19 Apr →
ancient	5–13	-0.07	50%	13 Apr →
inferno	13–7	-0.01	10%	7 Apr →
mirage	6–13	-0.08	18%	6 Apr →
ancient	5–13	0.05	15%	6 Apr →
ancient	7–13	-0.00	9%	3 Apr →
mirage	13–8	-0.04	29%	3 Apr →
mirage	2–13	-0.03	28%	2 Apr →
mirage	10–13	-0.05	12%	30 Mar →
inferno	13–4	-0.02	6%	30 Mar →
mirage	6–13	-0.01	22%	30 Mar →
anubis	13–7	-0.06	12%	29 Mar →
mirage	13–7	-0.01	13%	28 Mar →
inferno	7–13	0.01	12%	27 Mar →
mirage	11–13	-0.01	17%	27 Mar →
mirage	2–13	0.07	39%	26 Mar →
mirage	11–13	0.03	14%	26 Mar →
mirage	10–13	-0.02	16%	22 Mar →
mirage	11–13	0.05	24%	22 Mar →
dust2	13–4	0.01	11%	20 Mar →
anubis	13–2	0.07	30%	20 Mar →
overpass	6–13	-0.02	16%	17 Mar →
inferno	5–13	0.03	23%	16 Mar →
mirage	13–8	-0.03	7%	11 Mar →
mirage	13–10	-0.05	30%	11 Mar →
mirage	7–13	0.02	20%	10 Mar →
inferno	7–13	-0.06	18%	9 Mar →
dust2	2–13	-0.05	15%	9 Mar →
mirage	13–2	0.12	41%	9 Mar →
overpass	8–13	-0.08	3%	4 Mar →
inferno	13–10	-0.03	10%	4 Mar →
nuke	6–13	-0.03	11%	2 Mar →
train	12–12	0.02	14%	2 Mar →
anubis	8–13	-0.02	11%	2 Mar →
mirage	5–13	-0.13	6%	1 Mar →
inferno	13–8	-0.06	7%	26 Feb →
dust2	13–11	-0.05	21%	26 Feb →
overpass	10–13	-0.08	12%	24 Feb →
mirage	9–13	-0.05	6%	24 Feb →
inferno	13–1	0.13	33%	23 Feb →
anubis	12–12	0.07	9%	23 Feb →
mirage	10–13	-0.08	20%	19 Feb →
ancient	13–10	0.05	15%	19 Feb →
mirage	7–13	-0.05	13%	19 Feb →
nuke	13–9	-0.05	14%	19 Feb →
dust2	8–13	-0.00	21%	18 Feb →
ancient	12–12	0.07	20%	18 Feb →
anubis	13–8	-0.03	19%	18 Feb →
mirage	9–13	0.06	19%	18 Feb →
mirage	9–13	-0.01	16%	18 Feb →
mirage	7–13	-0.04	10%	18 Feb →
mirage	12–12	0.01	7%	18 Feb →
inferno	6–13	-0.00	8%	18 Feb →
mirage	9–13	0.06	27%	18 Feb →
mirage	15–15	-0.04	13%	9 Feb →
mirage	13–5	0.03	15%	9 Feb →
dust2	2–13	-0.04	16%	9 Feb →
ancient	13–10	-0.04	15%	8 Feb →
mirage	5–13	-0.05	21%	8 Feb →
dust2	5–13	-0.06	6%	4 Feb →
mirage	4–13	-0.05	32%	4 Feb →
mirage	10–13	-0.01	26%	31 Dec →
mirage	9–13	-0.08	0%	16 Jul →
overpass	2–13	-0.11	44%	16 Jul →
ancient	5–13	-0.09	26%	16 Jul →
train	13–11	-0.00	11%	16 Jul →
mirage	16–13	0.00	10%	16 Jul →
inferno	9–13	-0.07	4%	14 Jul →
mirage	13–5	0.01	13%	14 Jul →
mirage	7–13	-0.09	2%	13 Jul →
inferno	7–13	0.02	23%	12 Jul →
ancient	15–15	-0.03	9%	12 Jul →
dust2	13–9	-0.01	11%	12 Jul →
mirage	11–13	-0.01	9%	11 Jul →
inferno	3–13	-0.11	21%	7 Jul →