Laggy — CS2 Stats

CA76561198400314573[U:1:440048845]Steam profile ↗✓ No bans

2,247Tracked matches43%Win rate2020Tracked since

1,353Hours in CS

CSDB Rating5.2 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim67

Positioning46

Utility53

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLWLWLLLLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.7

Aggression3.6

Utility5.3

Positioning4.6

Opening Duels0.8

Clutch7.4

Limited utility dependenceReliable in 1v1s

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 NiKo 85% 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

Areas to improve

Reaction time. 646ms 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

Aim6.7

Positioning4.6

Utility5.3

Mechanics7.5

Opening Duels1.1

Win Impact2.8

Composite 5.2/10 (Developing), 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 rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time646ms−29ms

first ⅓ avg 676ms → last ⅓ avg 646ms

Headshot accuracy15.6%−3.8%

first ⅓ avg 19.5% → last ⅓ avg 15.6%

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

0.13Best rating — dust2 13–6

13–1Biggest win — mirage

5Longest win streak

L2Current streak

11–12In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 58% over 12infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.01
dust2	C	23	10–13	43%	-0.00
ancient	A	12	7–5	58%	0.00
nuke	A	9	5–4	56%	0.01
overpass	C	9	4–5	44%	-0.00
inferno	C	8	3–5	38%	-0.03
anubis	C	5	2–3	40%	0.01
train	—	4	2–2	50%	-0.04
vertigo	—	3	2–1	67%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,134Lifetime kills

1.07K/D · Top 50% of tracked players

3,847Matches

45.2%Match win rate

43.3%Headshot %

13.2%Shot accuracy · Top 50% of tracked players

9,323MVPs

1,353Hours (in match)

4,314Bombs planted

940Bombs defused

Most-used weapons

AK-4725,607

M4A4 / M4A1-S12,170

AWP4,691

P2000 / USP-S3,990

Glock-182,892

Desert Eagle2,882

Galil AR2,467

SSG 082,067

MP91,944

MAC-101,292

Lifetime map wins

4,563dust2

4,214vertigo

2,881nuke

2,328inferno

1,417train

532office

192cbble

107lake

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

Faceit stats

Combat

556Matches

52%Win rate

1.05Avg K/D

78.5ADR

43%Headshot %

Clutches & streaks

57%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	105	50%	1.06	17.3
Vertigo	71	55%	1.13	16.4
Ancient	56	46%	1.03	16.1
Anubis	53	57%	1.22	17.2
Overpass	27	59%	1.32	16.3
Nuke	19	47%	1.04	15.2
Inferno	16	44%	1.09	18.1
Dust2	3	0%	0.69	12.0

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.

15.8%Headshot accuracy

36.5%Accuracy (enemy spotted)

37.5%Spray accuracy

83.9%Counter-strafing

9.9°Preaim

646msReaction time

27.0%T opening success

39.0%CT opening success

0.50Enemies flashed / flash

11.7%Flash assists

12.17HE damage / grenade

3.07Flashes / 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 0.4969 — 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 27.0386% — 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.

38% win rate across 8 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	3–13	-0.09	20%	30 Jul →
dust2	10–13	-0.07	9%	22 Jul →
ancient	13–10	-0.01	12%	15 Jul →
vertigo	7–9	-0.08	8%	15 Jul →
ancient	13–2	-0.01	15%	15 Jul →
nuke	7–13	-0.01	19%	22 Jun →
mirage	11–13	0.05	14%	5 Apr →
overpass	2–13	0.10	11%	5 Apr →
dust2	11–13	-0.01	21%	5 Apr →
mirage	10–13	-0.04	16%	4 Apr →
mirage	9–13	0.00	16%	29 Mar →
dust2	9–13	-0.03	13%	29 Mar →
vertigo	13–8	0.10	17%	29 Mar →
dust2	13–11	0.08	25%	29 Mar →
vertigo	13–6	0.07	13%	29 Mar →
ancient	11–13	-0.01	15%	29 Mar →
dust2	13–10	0.07	19%	29 Mar →
anubis	11–13	0.03	11%	29 Mar →
mirage	13–1	0.04	11%	29 Mar →
inferno	13–8	-0.06	14%	22 Mar →
ancient	13–7	0.12	19%	22 Mar →
dust2	13–6	0.13	15%	22 Mar →
anubis	9–13	0.02	9%	22 Mar →
mirage	2–13	0.06	21%	22 Mar →
ancient	2–13	-0.05	27%	22 Mar →
inferno	9–13	-0.07	11%	22 Mar →
mirage	13–10	-0.01	15%	21 Mar →
anubis	13–7	-0.03	27%	21 Mar →
anubis	8–13	-0.01	13%	21 Mar →
nuke	3–13	-0.09	17%	21 Mar →
dust2	13–6	-0.03	9%	21 Mar →
dust2	13–7	-0.03	20%	21 Mar →
dust2	13–11	-0.01	12%	21 Mar →
dust2	4–13	-0.01	16%	20 Mar →
ancient	4–2	0.12	29%	20 Mar →
mirage	13–4	0.11	32%	20 Mar →
mirage	13–6	0.01	19%	20 Mar →
anubis	13–8	0.04	11%	20 Mar →
mirage	13–6	0.08	25%	20 Mar →
dust2	8–13	0.08	12%	20 Mar →
ancient	13–16	-0.05	15%	18 Mar →
dust2	10–13	-0.01	18%	18 Mar →
mirage	13–7	0.04	11%	18 Mar →
nuke	13–11	0.08	11%	17 Mar →
nuke	13–11	0.05	25%	17 Mar →
mirage	13–8	0.00	9%	17 Mar →
overpass	13–8	0.01	21%	17 Mar →
mirage	7–13	-0.01	17%	25 Jan →
mirage	13–6	0.03	17%	3 Jan →
inferno	4–13	0.01	30%	3 Jan →
inferno	4–13	-0.04	12%	16 Dec →
nuke	11–13	0.03	21%	15 Dec →
ancient	13–11	0.06	13%	15 Dec →
nuke	13–7	0.02	19%	15 Dec →
mirage	14–16	-0.01	16%	15 Dec →
overpass	13–3	-0.03	22%	14 Dec →
inferno	11–13	-0.01	12%	14 Dec →
train	9–13	-0.02	18%	14 Dec →
overpass	9–13	0.03	19%	14 Dec →
mirage	13–8	-0.01	11%	14 Dec →
mirage	12–12	0.03	18%	13 Dec →
mirage	8–13	-0.02	13%	10 Dec →
mirage	13–7	0.02	19%	9 Dec →
train	1–13	-0.08	12%	9 Dec →
dust2	11–13	0.01	17%	15 Nov →
dust2	11–13	-0.02	20%	15 Nov →
dust2	16–13	-0.00	20%	15 Nov →
ancient	13–11	-0.03	12%	15 Nov →
mirage	4–13	-0.03	15%	15 Nov →
mirage	14–16	0.01	25%	15 Nov →
ancient	5–13	-0.06	21%	12 Nov →
mirage	13–7	-0.06	21%	12 Nov →
overpass	13–6	-0.01	16%	11 Nov →
inferno	8–13	-0.00	25%	11 Nov →
mirage	10–13	0.04	19%	5 Nov →
overpass	5–13	-0.01	21%	5 Nov →
dust2	6–13	0.00	15%	5 Nov →
dust2	8–13	0.00	30%	2 Nov →
dust2	13–11	-0.06	19%	2 Nov →
ancient	16–14	-0.02	23%	2 Nov →
nuke	13–10	0.02	12%	2 Nov →
mirage	11–13	-0.04	21%	2 Nov →
dust2	3–13	-0.03	19%	24 Oct →
mirage	4–13	0.03	23%	18 Oct →
train	13–11	-0.04	23%	18 Oct →
mirage	9–13	-0.03	18%	18 Oct →
nuke	6–13	0.02	30%	18 Oct →
overpass	2–13	-0.07	16%	16 Oct →
mirage	15–15	-0.07	13%	16 Oct →
mirage	13–3	0.01	16%	16 Oct →
overpass	13–16	-0.06	26%	6 Oct →
dust2	16–13	0.00	19%	5 Oct →
overpass	13–8	0.01	10%	4 Oct →
dust2	3–13	-0.03	31%	4 Oct →
dust2	13–5	0.01	19%	4 Oct →
nuke	13–4	-0.03	16%	4 Oct →
inferno	16–13	-0.00	13%	10 Sept →
ancient	9–13	-0.03	15%	10 Sept →
inferno	13–9	-0.02	20%	9 Sept →
train	13–11	0.00	20%	6 Sept →