Liamnesss — CS2 Stats

AU76561198009711654[U:1:49445926]Steam profile ↗

944Tracked matches59%Win rate2020Tracked since

4,361Hours in CS25Hrs last 2 wks

CSDB Rating7.9 StrongAggressive Rifler

Premier CS Rating25,503Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1776 of 13279 tracked

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning69

Utility67

0–100 skill scores via Leetify.

Recent form

HOT55–40–5Last 10055%Win rateWWWWLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim9.2

Aggression9.5

Utility6.7

Positioning6.9

Opening Duels4.2

Clutch4.4

Sharp aimerStrong T-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 ZywOo 98% playstyle similarity

Most alike: opening-fight frequency, 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 92 — the mechanical foundation is a clear strength.

Areas to improve

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 573ms 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

Aim9.2

Positioning6.9

Utility6.7

Mechanics7.6

Opening Duels4.2

Win Impact8.1

Composite 7.9/10 (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 rating0.05−0.03

first ⅓ avg 0.08 → last ⅓ avg 0.05

Reaction time580ms−39ms

first ⅓ avg 619ms → last ⅓ avg 580ms

Headshot accuracy26.1%−2.2%

first ⅓ avg 28.4% → last ⅓ avg 26.1%

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

0.26Best rating — cache 13–11

13–0Biggest win — dust2

6Longest win streak

W4Current streak

3–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 35% over 23

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	8–15	35%	0.06
dust2	S	17	11–6	65%	0.07
nuke	A	14	8–6	57%	0.04
cache	B	13	7–6	54%	0.08
inferno	A	11	6–5	55%	0.06
ancient	S	10	7–3	70%	0.07
anubis	S	6	4–2	67%	0.05
overpass	A	5	3–2	60%	0.07
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

195,642Lifetime kills

1.53K/D · Top 5% of tracked players

6,423Matches

44.5%Match win rate

62.8%Headshot % · Top 10% of tracked players

18.0%Shot accuracy · Top 10% of tracked players

20,979MVPs

3,478Hours (in match)

8,959Bombs planted

3,001Bombs defused

Most-used weapons

AK-4779,195

M4A4 / M4A1-S28,552

P2000 / USP-S22,450

Desert Eagle16,242

AWP15,156

Glock-186,932

P2504,985

SSG 083,851

Knife2,221

Galil AR1,715

Lifetime map wins

11,484dust2

6,883inferno

3,377nuke

2,201train

1,983cbble

644vertigo

232office

90dust

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

Faceit stats

Combat

388Matches

50%Win rate

1.71Avg K/D

87.7ADR

56%Headshot %

Clutches & streaks

42%1v1 clutch win

30%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	48%	1.76	20.1
Nuke	19	63%	1.33	16.1
Inferno	17	53%	1.37	15.7
Dust2	12	67%	2.98	19.2
Ancient	9	78%	1.51	20.7
Anubis	7	57%	1.43	15.1
Overpass	5	20%	0.93	13.0
Train	3	33%	1.15	17.7

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.

25.6%Headshot accuracy

39.8%Accuracy (enemy spotted)

45.8%Spray accuracy

84.0%Counter-strafing

8.5°Preaim

573msReaction time

54.8%T opening success

38.9%CT opening success

0.59Enemies flashed / flash

8.7%Flash assists

11.96HE damage / grenade

14.75Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.8776% — below the 40% mark we flag

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.

35% win rate across 23 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
cache	13–5	0.09	28%	28 Aug →
mirage	13–8	0.07	18%	28 Aug →
ancient	13–4	0.10	27%	28 Aug →
dust2	13–6	0.04	24%	28 Aug →
dust2	4–13	-0.02	32%	26 Aug →
cache	13–1	0.17	47%	26 Aug →
anubis	13–5	0.06	33%	26 Aug →
dust2	13–4	0.04	28%	25 Aug →
cache	13–7	0.13	38%	25 Aug →
nuke	13–11	0.01	36%	25 Aug →
mirage	9–13	0.07	32%	25 Aug →
nuke	13–10	0.03	27%	25 Aug →
mirage	9–13	-0.07	27%	25 Aug →
dust2	11–13	0.06	22%	23 Aug →
mirage	13–10	0.10	35%	23 Aug →
ancient	10–13	-0.02	29%	19 Aug →
cache	15–15	0.06	17%	14 Aug →
nuke	13–3	0.09	30%	14 Aug →
mirage	13–7	0.05	35%	14 Aug →
mirage	13–4	0.07	29%	14 Aug →
dust2	13–9	0.00	10%	14 Aug →
mirage	10–13	0.05	16%	10 Aug →
dust2	13–8	0.10	36%	10 Aug →
mirage	8–13	0.07	16%	6 Aug →
cache	10–13	-0.01	12%	3 Aug →
mirage	4–13	-0.01	16%	3 Aug →
mirage	12–12	0.10	23%	26 Jul →
dust2	12–12	0.05	20%	26 Jul →
ancient	13–16	0.03	22%	22 Jul →
mirage	6–13	0.05	19%	21 Jul →
nuke	2–13	-0.07	29%	21 Jul →
cache	6–13	-0.02	18%	19 Jul →
inferno	13–3	0.09	30%	19 Jul →
nuke	2–13	-0.03	43%	19 Jul →
ancient	13–5	0.02	19%	19 Jul →
cache	13–2	0.15	51%	19 Jul →
ancient	13–6	-0.03	32%	19 Jul →
ancient	13–2	0.11	43%	19 Jul →
ancient	13–3	0.11	22%	19 Jul →
anubis	13–11	0.08	25%	19 Jul →
mirage	2–13	0.03	25%	17 Jul →
nuke	13–9	0.10	33%	17 Jul →
inferno	13–6	0.05	30%	17 Jul →
nuke	9–13	0.01	33%	3 Jun →
vertigo	13–6	0.09	13%	3 Jun →
anubis	8–13	0.02	29%	3 Jun →
mirage	13–5	0.17	28%	1 Jun →
cache	5–13	-0.00	25%	1 Jun →
inferno	8–13	0.01	23%	1 Jun →
inferno	13–7	0.13	30%	29 May →
nuke	13–8	0.06	20%	28 May →
mirage	7–13	0.15	34%	28 May →
nuke	3–13	0.00	13%	26 May →
cache	11–13	0.01	27%	23 May →
anubis	13–7	0.03	16%	19 May →
dust2	4–8	0.13	39%	15 May →
mirage	13–4	0.05	25%	15 May →
dust2	13–8	0.02	28%	15 May →
cache	13–11	0.26	42%	14 May →
mirage	11–13	0.02	26%	13 May →
ancient	13–2	0.06	44%	13 May →
inferno	10–13	-0.00	39%	6 May →
cache	6–13	0.07	26%	30 Apr →
cache	13–6	0.02	20%	30 Apr →
cache	13–10	0.07	28%	30 Apr →
inferno	12–12	0.08	29%	23 Apr →
mirage	4–13	-0.02	24%	23 Apr →
dust2	13–7	0.19	36%	22 Apr →
inferno	13–4	0.16	25%	22 Apr →
mirage	5–13	0.02	34%	22 Apr →
inferno	13–10	0.03	22%	17 Apr →
overpass	13–3	0.18	27%	17 Apr →
mirage	7–13	0.08	28%	17 Apr →
dust2	13–3	0.16	24%	17 Apr →
mirage	13–3	0.11	23%	10 Apr →
anubis	13–5	0.21	28%	10 Apr →
dust2	7–13	0.02	35%	10 Apr →
nuke	11–13	0.01	27%	9 Apr →
mirage	12–12	0.05	13%	9 Apr →
dust2	13–8	0.17	42%	9 Apr →
dust2	8–13	0.02	43%	7 Apr →
nuke	13–3	0.05	53%	7 Apr →
nuke	13–6	0.14	41%	2 Apr →
dust2	13–6	0.02	40%	30 Mar →
overpass	10–13	0.09	26%	25 Mar →
mirage	13–7	0.08	28%	24 Mar →
dust2	13–6	0.11	30%	24 Mar →
inferno	13–6	0.09	25%	23 Mar →
anubis	6–13	-0.09	17%	23 Mar →
mirage	7–13	0.07	37%	23 Mar →
ancient	13–8	0.18	20%	16 Mar →
overpass	13–1	0.02	32%	16 Mar →
inferno	14–16	0.00	31%	10 Mar →
nuke	9–13	0.05	22%	10 Mar →
dust2	13–0	0.12	25%	10 Mar →
overpass	6–13	-0.03	16%	9 Mar →
inferno	2–13	0.01	11%	8 Mar →
ancient	11–13	0.10	25%	8 Mar →
nuke	13–9	0.10	30%	7 Mar →
overpass	13–5	0.09	18%	7 Mar →