Gl(ass) — CS2 Stats

US76561197967174583[U:1:6908855]Steam profile ↗✓ No bans

540Tracked matches39%Win rate2020Tracked since

4,364Hours in CS1Hrs last 2 wks

CSDB Rating3.9 Learning

Ladder ranks via Leetify

Performance scores

Aim41

Positioning41

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLLLLWLWWT

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.1

Aggression5.4

Utility4.9

Positioning4.1

Opening Duels1.0

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 b1t 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 687ms 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

Aim4.1

Positioning4.1

Utility4.9

Mechanics6.0

Opening Duels1.0

Win Impact1.4

Composite 3.9/10 (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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time692ms+11ms

first ⅓ avg 681ms → last ⅓ avg 692ms

Headshot accuracy9.9%−0.1%

first ⅓ avg 10.0% → last ⅓ avg 9.9%

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

0.09Best rating — anubis 13–10

13–1Biggest win — mirage

7Longest win streak

10–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

trainBest map · 83% over 6nukeWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	12–8	60%	-0.01
mirage	S	19	13–6	68%	-0.01
inferno	A	10	6–4	60%	-0.03
overpass	C	10	4–6	40%	-0.04
ancient	D	10	3–7	30%	-0.01
nuke	D	10	2–8	20%	-0.03
anubis	D	9	3–6	33%	0.03
train	S	6	5–1	83%	-0.02
grail	—	2	1–1	50%	-0.06
jura	—	1	0–1	0%	-0.01
agency	—	1	0–1	0%	-0.04
basalt	—	1	0–1	0%	-0.05
thera	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,507Lifetime kills

0.76K/D

5,257Matches

44.8%Match win rate

30.3%Headshot %

18.9%Shot accuracy · Top 10% of tracked players

11,701MVPs

3,175Hours (in match)

6,383Bombs planted

1,018Bombs defused

Most-used weapons

AK-4723,117

M4A4 / M4A1-S21,007

AWP13,045

Desert Eagle11,355

P2000 / USP-S5,966

MP74,709

Five-SeveN2,819

Glock-182,504

Nova2,448

Galil AR1,621

Lifetime map wins

13,230dust2

9,934inferno

3,626nuke

2,274train

901cbble

506vertigo

84office

81lake

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

Faceit stats

Combat

5Matches

60%Win rate

0.90Avg K/D

—ADR

25%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLL

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.

9.6%Headshot accuracy

33.5%Accuracy (enemy spotted)

32.3%Spray accuracy

77.2%Counter-strafing

9.9°Preaim

687msReaction time

32.6%T opening success

35.3%CT opening success

0.64Enemies flashed / flash

3.0%Flash assists

8.99HE damage / grenade

10.82Flashes / 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 9.5716% — below the 15% mark we flag
Aim Training →
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 32.5837% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–3	0.07	22%	30 Mar →
inferno	2–13	-0.06	16%	21 Feb →
overpass	8–13	-0.02	10%	10 Feb →
anubis	7–13	0.03	10%	10 Feb →
overpass	7–13	-0.09	0%	2 Feb →
dust2	13–5	-0.05	9%	19 Jan →
overpass	1–13	-0.06	10%	19 Jan →
overpass	13–9	-0.04	17%	15 Jan →
dust2	13–11	-0.06	4%	29 Dec →
ancient	15–15	-0.04	14%	29 Dec →
overpass	16–12	-0.02	9%	29 Dec →
inferno	13–10	0.02	5%	27 Dec →
nuke	7–13	-0.01	9%	24 Dec →
ancient	9–13	-0.02	11%	20 Dec →
mirage	13–4	0.06	5%	20 Dec →
dust2	6–13	-0.05	6%	7 Dec →
mirage	13–7	-0.02	5%	7 Dec →
inferno	5–13	-0.03	9%	7 Dec →
mirage	4–13	-0.08	7%	7 Dec →
mirage	14–16	-0.01	4%	6 Dec →
anubis	12–12	0.03	7%	5 Dec →
mirage	0–13	-0.11	28%	27 Nov →
overpass	10–13	-0.04	2%	18 Nov →
dust2	13–3	-0.03	4%	18 Nov →
nuke	3–13	-0.01	8%	18 Nov →
overpass	13–5	0.02	12%	16 Nov →
inferno	1–13	-0.01	10%	16 Nov →
dust2	13–16	0.01	16%	16 Nov →
mirage	4–13	0.01	22%	16 Nov →
mirage	13–3	-0.01	8%	16 Nov →
dust2	13–6	-0.04	7%	15 Nov →
nuke	13–6	-0.00	11%	15 Nov →
mirage	13–7	0.03	13%	28 Oct →
dust2	9–1	-0.00	0%	28 Oct →
nuke	2–3	-0.01	13%	20 Oct →
inferno	13–7	-0.02	9%	19 Oct →
anubis	20–22	-0.01	11%	19 Oct →
ancient	8–13	-0.01	13%	17 Oct →
dust2	13–5	0.01	10%	17 Oct →
nuke	6–13	-0.05	13%	6 Oct →
train	9–13	0.03	13%	5 Oct →
nuke	10–13	0.00	13%	3 Oct →
train	13–5	-0.01	8%	28 Sept →
mirage	13–2	0.00	18%	28 Sept →
anubis	13–7	0.04	16%	28 Sept →
anubis	3–13	-0.02	23%	26 Aug →
ancient	12–4	-0.01	17%	26 Aug →
nuke	3–13	-0.04	0%	26 Aug →
mirage	13–8	0.00	10%	20 Aug →
overpass	5–13	-0.10	18%	16 Aug →
dust2	5–2	0.04	9%	5 Jul →
mirage	13–1	-0.01	18%	5 Jul →
mirage	9–5	-0.04	5%	1 Jul →
anubis	13–10	0.09	5%	25 Jun →
dust2	13–7	-0.00	10%	22 Jun →
nuke	2–13	-0.07	4%	31 May →
ancient	14–16	-0.07	6%	25 May →
grail	13–11	-0.06	21%	24 May →
dust2	10–13	-0.00	5%	22 May →
dust2	13–9	0.02	15%	21 May →
jura	1–13	-0.01	67%	18 May →
agency	10–13	-0.04	12%	18 May →
dust2	13–11	-0.01	7%	13 May →
ancient	9–13	-0.03	16%	9 May →
nuke	6–13	-0.04	18%	9 May →
anubis	13–16	0.01	7%	9 May →
dust2	13–7	0.04	26%	8 May →
grail	9–13	-0.06	14%	8 May →
ancient	13–11	0.05	17%	6 Apr →
mirage	13–11	0.02	8%	6 Apr →
mirage	11–13	0.03	16%	6 Apr →
inferno	13–11	0.02	7%	13 Mar →
overpass	3–13	-0.04	11%	23 Feb →
nuke	16–14	-0.04	4%	16 Feb →
dust2	7–13	0.01	10%	16 Feb →
dust2	9–13	-0.05	8%	8 Feb →
basalt	6–13	-0.05	3%	7 Feb →
anubis	13–2	0.06	8%	6 Feb →
ancient	6–13	0.01	7%	2 Feb →
dust2	12–12	0.03	18%	18 Jan →
mirage	13–8	0.02	13%	18 Jan →
dust2	10–13	-0.03	7%	7 Jan →
mirage	13–7	-0.08	26%	28 Dec →
dust2	16–14	0.03	18%	21 Dec →
train	13–11	-0.06	10%	21 Dec →
train	13–9	-0.06	5%	27 Nov →
train	13–5	0.00	7%	15 Nov →
train	13–7	-0.04	8%	14 Nov →
ancient	13–11	0.03	9%	13 Nov →
inferno	8–13	-0.02	5%	13 Nov →
anubis	4–13	0.04	13%	14 Aug →
mirage	13–8	0.01	18%	12 Aug →
inferno	6–1	-0.07	0%	12 Aug →
ancient	9–13	-0.03	6%	7 Aug →
thera	13–6	-0.01	18%	6 Aug →
overpass	13–2	0.01	4%	6 Aug →
mirage	11–13	0.01	13%	4 Aug →
inferno	13–6	-0.04	6%	4 Aug →
inferno	11–7	-0.04	3%	20 Jul →
dust2	13–9	-0.02	12%	15 Jul →