Aki — CS2 Stats

YE76561197989154607[U:1:28888879]Steam profile ↗✓ No bans

4,130Tracked matches32%Win rate2020Tracked since

6,655Hours in CS1Hrs last 2 wks

CSDB Rating5.4 DevelopingAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim72

Positioning65

Utility56

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLWLLWLLLWL

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

Player DNA

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

Aim7.2

Aggression8.1

Utility5.6

Positioning6.5

Opening Duels2.5

Clutch3.4

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 b1t 91% playstyle similarity

Most alike: positioning profile, 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 →

CSDB Rating breakdown

Aim7.2

Positioning6.5

Utility5.6

Mechanics5.7

Opening Duels2.5

Win Impact0.0

Composite 5.4/10 (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 rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time551ms+8ms

first ⅓ avg 542ms → last ⅓ avg 551ms

Headshot accuracy21.7%+4.1%

first ⅓ avg 17.6% → last ⅓ avg 21.7%

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

0.18Best rating — anubis 13–8

11–0Biggest win — cache

3Longest win streak

8–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 67% over 9dust2Weakest map · 40% over 25

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	10–15	40%	0.01
cache	C	21	9–12	43%	0.02
inferno	C	20	8–12	40%	0.02
anubis	S	9	6–3	67%	0.04
overpass	C	9	4–5	44%	-0.01
mirage	B	6	3–3	50%	-0.01
nuke	A	5	3–2	60%	0.01
ancient	—	3	2–1	67%	0.03
vertigo	—	1	0–1	0%	-0.01
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

152,028Lifetime kills

1.12K/D · Top 50% of tracked players

7,743Matches

49.0%Match win rate · Top 50% of tracked players

45.0%Headshot %

12.9%Shot accuracy · Top 50% of tracked players

20,611MVPs

3,546Hours (in match)

17,733Bombs planted

3,059Bombs defused

Most-used weapons

AK-4739,259

M4A4 / M4A1-S25,794

AWP20,663

Desert Eagle10,453

SSG 0810,150

P2000 / USP-S9,941

Glock-186,023

FAMAS3,569

MAC-103,495

Galil AR3,025

Lifetime map wins

30,167dust2

18,135inferno

9,217nuke

2,255vertigo

1,624train

720cbble

142lake

136office

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

Faceit stats

Combat

1,591Matches

50%Win rate

1.12Avg K/D

72.4ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	251	55%	1.19	14.5
Dust2	209	51%	1.06	14.3
Ancient	132	42%	0.99	14.1
Anubis	128	45%	1.02	13.7
Nuke	103	59%	1.23	14.7
Overpass	53	57%	1.14	14.5
Vertigo	22	32%	1.10	16.1
Mirage	19	47%	0.87	14.1

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.

21.9%Headshot accuracy

32.4%Accuracy (enemy spotted)

35.7%Spray accuracy

75.7%Counter-strafing

9.7°Preaim

538msReaction time

35.0%T opening success

45.1%CT opening success

0.60Enemies flashed / flash

7.1%Flash assists

7.57HE damage / grenade

10.72Flashes / 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 34.9632% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	0.06	10%	28 Aug →
ancient	13–11	0.02	18%	14 Aug →
cache	7–13	0.08	12%	14 Aug →
anubis	4–13	-0.04	7%	14 Aug →
nuke	13–6	0.06	35%	27 Jun →
dust2	8–13	-0.02	47%	27 Jun →
inferno	9–13	0.04	17%	23 Jun →
vertigo	4–13	-0.01	22%	23 Jun →
cache	6–2	-0.04	38%	23 Jun →
train	7–13	0.02	24%	23 Jun →
overpass	3–13	0.00	23%	23 Jun →
ancient	10–13	0.02	17%	23 Jun →
cache	13–10	0.00	25%	12 May →
dust2	5–13	-0.02	17%	9 May →
dust2	11–13	0.03	20%	7 May →
cache	10–13	0.04	27%	6 May →
cache	11–0	0.09	24%	6 May →
cache	3–13	0.05	32%	5 May →
overpass	13–7	0.02	23%	4 May →
inferno	11–13	0.11	38%	4 May →
cache	12–12	0.01	22%	2 May →
cache	13–5	0.08	29%	2 May →
cache	12–12	0.05	19%	2 May →
cache	13–4	-0.02	14%	2 May →
cache	5–13	-0.03	22%	1 May →
cache	11–13	-0.05	22%	1 May →
cache	5–13	0.05	27%	1 May →
cache	6–13	-0.01	7%	1 May →
cache	10–13	0.03	19%	29 Apr →
cache	13–8	-0.01	9%	29 Apr →
cache	12–12	0.04	12%	29 Apr →
cache	13–4	-0.01	16%	29 Apr →
cache	13–11	0.05	23%	29 Apr →
dust2	16–19	0.04	22%	26 Apr →
overpass	5–13	-0.02	21%	25 Apr →
dust2	9–13	0.00	13%	25 Apr →
anubis	13–11	-0.01	22%	24 Apr →
dust2	13–7	0.10	29%	24 Apr →
inferno	13–8	0.01	15%	24 Apr →
dust2	7–13	0.01	29%	24 Apr →
cache	13–11	-0.03	36%	24 Apr →
inferno	13–11	0.03	13%	24 Apr →
nuke	13–7	-0.01	25%	24 Apr →
inferno	11–13	0.04	22%	23 Apr →
inferno	13–5	0.08	20%	22 Apr →
inferno	13–8	0.03	13%	20 Apr →
inferno	15–15	0.01	16%	20 Apr →
anubis	15–15	-0.01	9%	20 Apr →
dust2	8–13	-0.06	21%	20 Apr →
dust2	13–11	0.00	25%	20 Apr →
dust2	11–13	0.01	10%	20 Apr →
inferno	6–13	-0.10	15%	20 Apr →
inferno	15–15	0.00	12%	19 Apr →
anubis	13–6	0.12	28%	18 Apr →
overpass	9–13	-0.06	10%	16 Apr →
anubis	13–8	0.18	19%	16 Apr →
dust2	13–5	-0.02	18%	15 Apr →
anubis	13–7	0.04	14%	15 Apr →
mirage	7–13	-0.03	15%	15 Apr →
dust2	13–16	-0.00	14%	14 Apr →
inferno	11–13	0.03	35%	14 Apr →
dust2	9–13	0.00	21%	14 Apr →
inferno	13–10	0.03	11%	14 Apr →
dust2	16–14	-0.04	20%	14 Apr →
dust2	13–5	0.05	27%	14 Apr →
dust2	1–4	-0.01	20%	13 Apr →
inferno	13–16	-0.05	16%	13 Apr →
inferno	13–7	0.12	22%	12 Apr →
overpass	13–6	0.07	15%	12 Apr →
dust2	4–13	0.00	15%	12 Apr →
inferno	14–16	-0.04	13%	12 Apr →
dust2	10–13	0.05	26%	12 Apr →
mirage	13–3	-0.00	18%	11 Apr →
anubis	13–10	0.06	19%	11 Apr →
overpass	8–13	-0.06	20%	11 Apr →
inferno	13–6	-0.04	8%	11 Apr →
anubis	13–11	0.03	23%	10 Apr →
overpass	13–5	0.05	21%	10 Apr →
dust2	9–13	-0.05	5%	10 Apr →
dust2	13–6	0.04	29%	10 Apr →
mirage	6–13	-0.04	15%	10 Apr →
mirage	13–16	0.01	13%	7 Apr →
overpass	14–16	-0.04	12%	7 Apr →
mirage	13–3	-0.02	7%	6 Apr →
dust2	13–3	0.05	19%	6 Apr →
dust2	13–10	0.05	16%	6 Apr →
anubis	11–13	-0.04	8%	5 Apr →
inferno	13–6	-0.01	19%	5 Apr →
overpass	13–4	-0.01	4%	5 Apr →
nuke	9–13	0.01	13%	5 Apr →
dust2	13–10	-0.02	10%	5 Apr →
ancient	13–9	0.05	22%	5 Apr →
inferno	17–19	-0.00	18%	5 Apr →
nuke	10–13	-0.02	28%	5 Apr →
nuke	16–12	-0.01	24%	5 Apr →
inferno	10–13	0.02	20%	5 Apr →
dust2	13–5	-0.01	15%	4 Apr →
mirage	13–3	0.04	24%	4 Apr →
inferno	6–13	-0.00	28%	4 Apr →
dust2	4–13	-0.04	34%	4 Apr →