Ace Of Guns™ — CS2 Stats

76561198240019388[U:1:279753660]

641Tracked matches62%Win rate2020Tracked since

1,808Hours in CS1Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating13,716Blue band · top ~35.2% of ranked players (population est.)

CSDB Leaderboard#14165 of 21042 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning37

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55–34–11Last 10055%Win rateLWWLWLLWWW

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

Player DNA

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

Aim6.6

Aggression5.4

Utility6.2

Positioning3.7

Opening Duels1.4

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 87% 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. 610ms 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

Aim6.6

Positioning3.7

Utility6.2

Mechanics6.2

Opening Duels1.4

Win Impact9.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time611ms+4ms

first ⅓ avg 607ms → last ⅓ avg 611ms

Headshot accuracy13.9%−3.6%

first ⅓ avg 17.5% → last ⅓ avg 13.9%

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

0.20Best rating — inferno 9–2

13–0Biggest win — vertigo

6Longest win streak

1–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 75% over 8overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	17	8–9	47%	0.00
inferno	B	14	7–7	50%	0.02
nuke	S	13	9–4	69%	0.03
cache	A	11	7–4	64%	0.02
dust2	A	11	7–4	64%	-0.00
anubis	S	8	6–2	75%	0.03
vertigo	B	6	3–3	50%	0.02
overpass	D	6	2–4	33%	-0.00
office	A	5	3–2	60%	0.05
ancient	—	4	1–3	25%	-0.02
train	—	2	1–1	50%	0.06
sanctum	—	1	0–1	0%	0.10
poseidon	—	1	0–1	0%	-0.03
italy	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,393Lifetime kills

1.02K/D

3,156Matches

40.6%Match win rate

34.7%Headshot %

14.5%Shot accuracy · Top 50% of tracked players

7,330MVPs

1,087Hours (in match)

1,473Bombs planted

583Bombs defused

Most-used weapons

AK-4711,896

AWP6,432

M4A4 / M4A1-S5,480

Desert Eagle3,844

MP93,382

P2000 / USP-S3,327

Glock-182,022

SSG 081,727

P2501,080

P901,020

Lifetime map wins

2,473dust2

2,473inferno

2,221nuke

1,425office

1,047train

1,033vertigo

772lake

370cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.4%Headshot accuracy

38.2%Accuracy (enemy spotted)

40.2%Spray accuracy

78.1%Counter-strafing

10.7°Preaim

610msReaction time

40.2%T opening success

31.2%CT opening success

0.53Enemies flashed / flash

7.4%Flash assists

8.25HE damage / grenade

15.06Flashes / 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 13.3635% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 31.2157% — below the 40% mark we flag

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	6–13	-0.13	23%	20 Aug →
cache	13–5	-0.02	15%	20 Aug →
anubis	13–9	0.05	17%	28 Jul →
vertigo	11–13	-0.06	9%	8 Jul →
nuke	13–9	0.02	15%	8 Jul →
dust2	5–13	-0.01	22%	8 Jul →
mirage	3–13	-0.03	18%	7 Jul →
cache	13–6	0.10	12%	3 Jul →
mirage	13–9	0.00	18%	30 Jun →
cache	13–10	0.03	19%	30 Jun →
dust2	13–2	0.06	9%	30 Jun →
anubis	13–10	0.01	9%	20 Jun →
mirage	13–9	0.03	11%	17 Jun →
sanctum	8–8	0.10	13%	8 Jun →
poseidon	5–9	-0.03	12%	8 Jun →
inferno	11–13	-0.01	11%	7 Jun →
vertigo	9–3	0.02	25%	3 Jun →
overpass	5–13	0.01	15%	3 Jun →
inferno	13–6	0.11	11%	31 May →
mirage	10–13	0.01	9%	30 May →
inferno	4–9	-0.08	21%	27 May →
nuke	12–12	-0.01	11%	24 May →
nuke	13–9	0.05	13%	24 May →
inferno	13–4	-0.02	6%	24 May →
overpass	11–13	-0.01	22%	21 May →
inferno	8–13	-0.03	14%	21 May →
vertigo	13–6	0.15	15%	19 May →
inferno	2–9	-0.18	4%	18 May →
inferno	13–9	-0.06	6%	14 May →
dust2	13–5	0.01	9%	14 May →
office	13–7	0.08	9%	12 May →
mirage	16–13	-0.01	16%	12 May →
nuke	9–6	0.18	19%	11 May →
nuke	13–7	0.03	13%	11 May →
dust2	10–13	-0.03	12%	10 May →
overpass	5–13	-0.08	11%	10 May →
vertigo	13–0	-0.00	8%	10 May →
mirage	8–0	0.03	11%	10 May →
dust2	13–8	-0.01	13%	9 May →
mirage	13–1	-0.04	6%	9 May →
anubis	13–7	-0.02	26%	9 May →
cache	13–5	-0.05	18%	9 May →
mirage	8–13	-0.01	9%	8 May →
nuke	13–7	-0.01	6%	8 May →
cache	12–12	-0.00	16%	1 May →
cache	12–12	-0.02	11%	1 May →
ancient	0–10	-0.05	6%	30 Apr →
mirage	0–13	-0.06	67%	30 Apr →
cache	12–12	0.07	10%	30 Apr →
cache	13–10	-0.00	13%	30 Apr →
cache	3–8	-0.03	13%	30 Apr →
cache	13–7	0.07	23%	29 Apr →
cache	13–8	0.03	19%	29 Apr →
nuke	12–12	-0.01	21%	28 Apr →
vertigo	7–13	0.00	8%	28 Apr →
dust2	13–1	0.10	15%	27 Apr →
overpass	12–12	0.04	15%	27 Apr →
inferno	10–13	0.08	22%	26 Apr →
ancient	12–12	-0.06	5%	26 Apr →
train	13–1	0.06	4%	26 Apr →
anubis	13–8	0.02	11%	23 Apr →
dust2	3–13	-0.12	24%	23 Apr →
mirage	7–13	0.08	18%	22 Apr →
nuke	4–13	-0.03	14%	22 Apr →
mirage	3–13	-0.05	24%	22 Apr →
anubis	13–6	0.00	4%	20 Apr →
mirage	15–15	0.09	26%	20 Apr →
anubis	13–8	0.09	13%	18 Apr →
inferno	9–2	0.20	10%	18 Apr →
inferno	13–16	0.02	12%	17 Apr →
mirage	16–13	0.04	19%	17 Apr →
overpass	13–10	-0.00	7%	17 Apr →
dust2	13–8	-0.01	19%	17 Apr →
mirage	2–13	-0.13	13%	17 Apr →
ancient	4–13	-0.02	29%	17 Apr →
dust2	13–4	0.05	26%	15 Apr →
nuke	13–3	0.08	14%	15 Apr →
inferno	13–10	0.09	26%	15 Apr →
mirage	13–3	0.05	13%	15 Apr →
nuke	13–9	0.10	24%	14 Apr →
overpass	13–8	0.04	16%	14 Apr →
anubis	5–13	0.07	11%	14 Apr →
mirage	13–4	0.07	24%	14 Apr →
inferno	13–2	0.04	11%	14 Apr →
inferno	11–13	0.02	19%	14 Apr →
ancient	13–4	0.03	16%	14 Apr →
nuke	13–10	0.01	13%	14 Apr →
italy	13–11	0.01	10%	8 Apr →
anubis	4–13	-0.01	13%	7 Apr →
dust2	13–6	-0.04	13%	7 Apr →
dust2	4–13	0.01	18%	7 Apr →
office	13–10	0.05	30%	7 Apr →
nuke	13–8	0.10	26%	2 Apr →
mirage	9–13	-0.05	11%	2 Apr →
office	12–12	0.04	17%	2 Apr →
office	9–13	0.05	31%	2 Apr →
train	12–12	0.05	30%	2 Apr →
inferno	13–9	0.08	22%	21 Mar →
office	13–5	0.04	9%	21 Mar →
vertigo	5–13	0.00	13%	21 Mar →