Akky — CS2 Stats

76561198201719179[U:1:241453451]Steam profile ↗✓ No bans

450Tracked matches60%Win rate2020Tracked since

2,341Hours in CS0Hrs last 2 wks

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating22,701Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#6457 of 24180 tracked

FaceitLevel 10 · 1,567 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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
Headshot rate	54.8%	52.0%
Shot accuracy	16.2%	13.7%
Kill/death ratio	0.96	1.08
Match win rate	39.8%	48.8%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim95

Positioning64

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateWLLWLWLWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim9.5

Aggression7.6

Utility7.8

Positioning6.4

Opening Duels3.5

Clutch4.2

Sharp aimerEffective flashesHigh utility contribution

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 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: higher utility contribution.

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 95 — the mechanical foundation is a clear strength.

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim9.5

Positioning6.4

Utility7.8

Mechanics7.2

Opening Duels3.5

Win Impact8.3

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time498ms−31ms

first ⅓ avg 529ms → last ⅓ avg 498ms

Headshot accuracy30.0%−0.8%

first ⅓ avg 30.8% → last ⅓ avg 30.0%

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

0.17Best rating — cache 13–0

13–0Biggest win — cache

6Longest win streak

7–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 75% over 8ancientWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	12–11	52%	0.03
cache	S	20	14–6	70%	0.05
mirage	B	19	10–9	53%	0.02
ancient	C	14	6–8	43%	0.02
nuke	B	13	7–6	54%	0.04
dust2	S	8	6–2	75%	0.04
debris	—	1	0–1	0%	-0.10
anubis	—	1	0–1	0%	0.02
office	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,070Lifetime kills

0.96K/D

3,791Matches

39.8%Match win rate

54.8%Headshot % · Top 50% of Level 10 players

16.2%Shot accuracy · Top 50% of Level 10 players

9,139MVPs

1,482Hours (in match)

2,659Bombs planted

879Bombs defused

Most-used weapons

AK-4735,855

AWP17,108

Desert Eagle13,037

M4A4 / M4A1-S8,762

P2000 / USP-S5,579

SSG 084,079

Knife2,352

Glock-181,934

MAG-71,325

P901,229

Lifetime map wins

8,029nuke

3,186inferno

2,210dust2

815train

668cbble

465vertigo

379lake

203office

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

Faceit stats

Combat

195Matches

62%Win rate

1.47Avg K/D

88.1ADR

50%Headshot %

Clutches & streaks

41%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	50%	1.39	17.7
Ancient	24	75%	1.80	18.8
Inferno	24	75%	1.64	17.8
Cache	21	62%	1.38	15.9
Nuke	16	62%	1.36	16.9
Dust2	13	69%	1.67	18.6
Train	1	0%	1.19	25.0
Overpass	1	0%	0.87	13.0

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.

29.2%Headshot accuracy

40.9%Accuracy (enemy spotted)

48.2%Spray accuracy

82.5%Counter-strafing

9.4°Preaim

496msReaction time

36.7%T opening success

51.0%CT opening success

0.82Enemies flashed / flash

11.1%Flash assists

12.16HE damage / grenade

12.56Flashes / 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
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 36.7465% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–4	-0.00	23%	29 Jul →
debris	3–9	-0.10	39%	16 Jul →
inferno	6–13	-0.04	36%	16 Jul →
mirage	13–6	-0.01	78%	16 Jul →
ancient	4–13	0.07	46%	16 Jul →
cache	13–4	0.12	40%	16 Jul →
ancient	11–13	-0.03	25%	12 Jul →
cache	13–9	-0.02	24%	12 Jul →
cache	13–6	0.01	40%	12 Jul →
cache	13–9	0.08	20%	12 Jul →
mirage	13–4	0.01	25%	12 Jul →
inferno	13–9	0.00	28%	11 Jul →
cache	13–5	0.08	37%	11 Jul →
inferno	6–13	0.04	29%	11 Jul →
ancient	13–16	0.05	25%	10 Jul →
cache	7–2	0.07	23%	10 Jul →
inferno	6–13	0.02	35%	10 Jul →
mirage	13–4	-0.02	28%	10 Jul →
nuke	8–13	-0.04	0%	10 Jul →
inferno	9–13	-0.04	29%	10 Jul →
dust2	11–4	0.09	29%	10 Jul →
cache	13–2	0.04	21%	10 Jul →
inferno	13–7	0.00	17%	10 Jul →
ancient	13–6	0.05	25%	10 Jul →
cache	8–13	-0.01	46%	10 Jul →
cache	13–3	0.09	33%	10 Jul →
inferno	7–13	0.04	17%	9 Jul →
nuke	13–6	0.05	50%	9 Jul →
mirage	7–13	0.09	19%	9 Jul →
inferno	13–16	0.00	21%	9 Jul →
ancient	13–11	0.07	21%	9 Jul →
nuke	13–4	0.04	35%	9 Jul →
mirage	5–13	-0.04	27%	9 Jul →
dust2	13–11	-0.04	39%	8 Jul →
inferno	5–13	0.02	22%	4 Jul →
nuke	13–5	0.12	18%	4 Jul →
mirage	6–13	-0.05	14%	3 Jul →
nuke	13–9	0.05	23%	3 Jul →
ancient	13–10	0.08	26%	3 Jul →
inferno	12–12	-0.04	21%	29 Jun →
nuke	9–13	-0.01	38%	29 Jun →
dust2	6–13	-0.04	26%	29 Jun →
cache	13–7	0.05	41%	29 Jun →
inferno	13–7	0.11	31%	27 Jun →
inferno	13–11	0.06	35%	27 Jun →
mirage	9–13	-0.02	18%	26 Jun →
inferno	13–10	-0.00	26%	25 Jun →
ancient	8–13	-0.03	17%	25 Jun →
nuke	9–13	0.02	35%	25 Jun →
mirage	13–3	0.06	26%	25 Jun →
ancient	2–13	-0.09	36%	25 Jun →
inferno	13–9	-0.00	34%	24 Jun →
anubis	7–13	0.02	36%	24 Jun →
dust2	13–3	0.10	17%	1 Jun →
mirage	13–10	0.06	33%	29 May →
ancient	8–5	-0.03	21%	29 May →
nuke	8–13	-0.02	25%	29 May →
cache	13–7	0.11	31%	29 May →
mirage	5–13	0.04	30%	22 May →
cache	13–16	-0.00	23%	22 May →
inferno	13–3	0.13	41%	22 May →
mirage	8–13	0.05	19%	15 May →
inferno	13–1	-0.00	55%	13 May →
office	13–4	-0.01	37%	13 May →
cache	1–13	-0.09	22%	9 May →
cache	13–6	0.07	35%	8 May →
ancient	8–13	0.05	29%	8 May →
mirage	13–7	0.06	26%	7 May →
ancient	14–16	0.01	20%	7 May →
mirage	13–6	0.09	19%	2 May →
nuke	11–13	0.00	39%	2 May →
mirage	6–0	0.06	100%	2 May →
nuke	13–4	0.10	29%	1 May →
cache	13–5	0.06	30%	30 Apr →
cache	13–8	0.03	29%	30 Apr →
cache	8–13	0.03	26%	29 Apr →
cache	9–13	0.03	33%	29 Apr →
cache	1–13	0.01	23%	29 Apr →
cache	13–0	0.17	22%	29 Apr →
inferno	9–13	0.07	43%	25 Apr →
mirage	4–13	-0.05	20%	25 Apr →
ancient	13–11	0.06	29%	25 Apr →
dust2	6–13	-0.09	56%	25 Apr →
dust2	13–2	0.11	30%	24 Apr →
inferno	13–8	0.10	27%	24 Apr →
nuke	13–5	0.01	30%	24 Apr →
inferno	6–13	0.01	20%	24 Apr →
nuke	9–13	0.12	36%	24 Apr →
mirage	13–11	0.04	35%	24 Apr →
inferno	13–10	0.01	18%	17 Apr →
dust2	13–6	0.04	38%	17 Apr →
mirage	13–11	0.01	16%	17 Apr →
ancient	10–13	-0.03	25%	17 Apr →
inferno	13–8	0.04	32%	17 Apr →
dust2	13–7	0.14	26%	17 Apr →
nuke	13–2	0.07	36%	17 Apr →
mirage	9–13	0.02	20%	17 Apr →
ancient	13–11	0.07	27%	16 Apr →
inferno	4–13	0.10	35%	16 Apr →
mirage	3–13	0.00	23%	16 Apr →