Acke-47 — CS2 Stats

SE76561197990914651[U:1:30648923]Steam profile ↗✓ No bans

2,630Tracked matches47%Win rate2020Tracked since

9,768Hours in CS63Hrs last 2 wks

CSDB Rating4.9 Developing

Premier CS Rating26,948Top 25% of 819 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#832 of 14529 tracked

FaceitLevel 9 · 2,022 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median	vs Level 10
Headshot rate	39.1%	52.8%	13.6% short
Shot accuracy	13.2%	13.7%	0.5% short
Kill/death ratio	0.91	1.08	0.17 short
Match win rate	46.9%	49.2%	2.3% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim51

Positioning48

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWLWLWWLWWL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim5.1

Aggression4.5

Utility6.0

Positioning4.8

Opening Duels2.8

Clutch4.4

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.1

Positioning4.8

Utility6.0

Mechanics3.8

Opening Duels2.8

Win Impact3.9

Composite 4.9/10 (Developing), 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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time584ms−21ms

first ⅓ avg 605ms → last ⅓ avg 584ms

Headshot accuracy14.3%+0.3%

first ⅓ avg 14.0% → last ⅓ avg 14.3%

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

0.19Best rating — ancient 13–6

13–1Biggest win — ancient

4Longest win streak

12–12In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	-0.01
dust2	A	19	11–8	58%	-0.00
ancient	A	14	9–5	64%	0.00
vertigo	B	13	6–7	46%	-0.01
inferno	D	9	2–7	22%	0.01
anubis	A	7	4–3	57%	-0.01
nuke	A	5	3–2	60%	0.01
overpass	C	5	2–3	40%	-0.00
cache	—	3	0–3	0%	-0.07
poseidon	—	1	1–0	100%	0.16
train	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

186,267Lifetime kills

0.91K/D

9,823Matches

46.9%Match win rate · Top 50% of tracked players

39.1%Headshot %

13.2%Shot accuracy · Top 50% of tracked players

23,132MVPs

4,477Hours (in match)

12,908Bombs planted

2,671Bombs defused

Most-used weapons

AK-4758,210

M4A4 / M4A1-S41,048

AWP19,692

P2000 / USP-S10,763

Desert Eagle8,923

Glock-186,713

Knife4,768

MP94,012

MAC-103,680

P2503,416

Lifetime map wins

24,234inferno

16,361dust2

6,321vertigo

5,933nuke

2,470cbble

2,080train

206office

153lake

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

Faceit stats

Combat

1,974Matches

52%Win rate

0.90Avg K/D

72.3ADR

40%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	136	61%	0.97	13.2
Ancient	106	55%	1.02	13.5
Inferno	77	52%	0.94	13.5
Anubis	49	63%	1.03	14.2
Dust2	47	64%	0.99	13.5
Vertigo	37	49%	0.89	12.7
Overpass	34	59%	0.95	14.4
Nuke	34	47%	1.11	14.2

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.

14.7%Headshot accuracy

32.4%Accuracy (enemy spotted)

36.7%Spray accuracy

67.1%Counter-strafing

10.3°Preaim

578msReaction time

40.0%T opening success

42.4%CT opening success

0.54Enemies flashed / flash

8.5%Flash assists

10.30HE damage / grenade

9.03Flashes / 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 14.6666% — 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 39.9999% — 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.

22% win rate across 9 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
ancient	13–6	0.01	23%	27 Aug →
vertigo	7–13	-0.04	18%	26 Aug →
ancient	13–3	0.03	12%	25 Aug →
cache	5–13	-0.09	29%	23 Aug →
inferno	13–4	0.04	4%	20 Aug →
mirage	13–4	0.05	22%	20 Aug →
ancient	14–16	-0.03	13%	18 Aug →
dust2	13–9	-0.02	18%	18 Aug →
anubis	16–14	0.00	9%	16 Aug →
mirage	10–13	-0.08	4%	16 Aug →
inferno	13–10	-0.02	16%	16 Aug →
poseidon	9–5	0.16	16%	15 Aug →
nuke	9–4	0.08	10%	15 Aug →
vertigo	6–9	-0.00	3%	15 Aug →
vertigo	5–13	-0.09	9%	13 Aug →
ancient	7–13	0.01	19%	13 Aug →
dust2	10–13	0.01	14%	11 Aug →
mirage	9–13	0.05	23%	10 Aug →
inferno	11–13	-0.02	8%	10 Aug →
anubis	13–6	0.03	17%	10 Aug →
mirage	13–6	0.04	9%	5 Aug →
mirage	13–8	-0.03	12%	5 Aug →
dust2	17–19	-0.05	22%	5 Aug →
anubis	11–13	-0.07	12%	5 Aug →
dust2	13–4	0.01	15%	24 Jul →
ancient	9–13	-0.04	9%	22 Jul →
mirage	11–13	-0.03	13%	22 Jul →
anubis	9–13	-0.01	15%	22 Jul →
ancient	13–11	-0.01	17%	21 Jul →
dust2	9–13	-0.07	20%	20 Jul →
dust2	13–11	-0.03	8%	8 Jul →
mirage	13–7	-0.01	19%	8 Jul →
cache	11–13	-0.03	15%	28 Jun →
dust2	9–13	-0.02	18%	28 Jun →
ancient	13–1	-0.01	14%	28 Jun →
inferno	10–13	0.05	10%	27 Jun →
dust2	13–10	0.05	8%	27 Jun →
ancient	8–13	-0.08	22%	27 Jun →
mirage	13–3	-0.01	32%	27 Jun →
train	13–3	-0.01	10%	27 Jun →
dust2	13–8	-0.06	12%	27 Jun →
inferno	10–13	-0.04	14%	27 Jun →
vertigo	5–13	-0.03	11%	27 Jun →
inferno	9–13	0.00	16%	26 Jun →
mirage	2–13	-0.09	7%	26 Jun →
mirage	13–11	-0.01	16%	25 Jun →
vertigo	13–11	0.09	15%	24 Jun →
overpass	8–13	-0.00	19%	24 Jun →
mirage	13–6	0.04	26%	24 Jun →
vertigo	13–11	0.00	19%	24 Jun →
anubis	3–13	-0.06	12%	24 Jun →
mirage	13–9	-0.01	8%	23 Jun →
ancient	10–13	-0.05	12%	23 Jun →
anubis	13–5	0.03	13%	23 Jun →
dust2	13–7	0.10	26%	22 Jun →
mirage	7–13	-0.00	7%	22 Jun →
vertigo	13–9	-0.01	22%	22 Jun →
vertigo	16–13	0.02	14%	22 Jun →
overpass	13–11	-0.00	15%	21 Jun →
nuke	13–8	0.03	28%	21 Jun →
nuke	7–13	-0.02	19%	21 Jun →
inferno	11–13	0.01	11%	21 Jun →
ancient	13–3	0.02	9%	21 Jun →
mirage	10–13	-0.04	11%	21 Jun →
vertigo	8–13	-0.03	3%	21 Jun →
dust2	11–13	0.02	16%	21 Jun →
dust2	19–17	-0.04	16%	21 Jun →
mirage	13–5	0.06	24%	21 Jun →
dust2	10–13	0.05	18%	20 Jun →
vertigo	13–7	-0.05	8%	20 Jun →
overpass	13–5	0.03	18%	20 Jun →
dust2	8–13	0.01	15%	20 Jun →
ancient	13–6	0.19	9%	20 Jun →
vertigo	16–14	0.04	11%	20 Jun →
mirage	13–8	-0.00	13%	18 Jun →
vertigo	11–13	0.03	21%	18 Jun →
mirage	9–13	-0.03	10%	18 Jun →
vertigo	11–13	-0.05	12%	18 Jun →
mirage	13–8	0.00	11%	18 Jun →
inferno	8–8	0.07	19%	16 Jun →
overpass	14–16	-0.05	11%	10 Jun →
mirage	13–10	-0.06	13%	10 Jun →
dust2	13–11	0.08	14%	10 Jun →
mirage	6–13	-0.05	13%	10 Jun →
nuke	7–13	-0.05	11%	10 Jun →
mirage	13–9	0.02	20%	9 Jun →
anubis	16–14	0.00	14%	9 Jun →
inferno	3–13	0.01	23%	9 Jun →
ancient	13–9	0.01	16%	9 Jun →
overpass	8–13	0.02	18%	8 Jun →
nuke	13–2	0.04	15%	8 Jun →
ancient	13–10	-0.04	21%	8 Jun →
mirage	8–13	-0.02	6%	1 Jun →
mirage	0–2	-0.09	0%	1 Jun →
dust2	13–9	-0.05	18%	1 Jun →
cache	12–16	-0.08	12%	1 Jun →
dust2	13–9	-0.02	17%	31 May →
dust2	13–6	-0.04	9%	31 May →
ancient	16–14	0.01	10%	31 May →
dust2	7–13	-0.01	11%	31 May →