Akooc — CS2 Stats

76561198115295589[U:1:155029861]Steam profile ↗

706Tracked matches43%Win rate2021Tracked since

CSDB Rating6.0 SolidAggressive Rifler

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim78

Positioning62

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLLWLWLWLWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim7.8

Aggression7.2

Utility5.8

Positioning6.2

Opening Duels3.7

Clutch3.6

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 94% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Aim7.8

Positioning6.2

Utility5.8

Mechanics8.0

Opening Duels3.7

Win Impact2.8

Composite 6.0/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time553ms−29ms

first ⅓ avg 582ms → last ⅓ avg 553ms

Headshot accuracy17.1%+0.0%

first ⅓ avg 17.0% → last ⅓ avg 17.1%

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 — vertigo 13–5

13–0Biggest win — ancient

8Longest win streak

L2Current streak

5–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 73% over 11infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	13–17	43%	0.00
mirage	A	21	13–8	62%	0.03
inferno	C	11	4–7	36%	0.02
ancient	S	11	8–3	73%	0.02
nuke	A	10	6–4	60%	-0.01
cache	C	9	4–5	44%	-0.02
anubis	—	4	3–1	75%	0.03
boulder	—	1	1–0	100%	-0.01
vertigo	—	1	1–0	100%	0.20
overpass	—	1	1–0	100%	0.06
train	—	1	0–1	0%	0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

299Matches

54%Win rate

1.45Avg K/D

80.5ADR

37%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	63%	1.04	16.6
Dust2	9	78%	1.01	16.1
Ancient	5	60%	1.04	13.2
Inferno	4	50%	1.33	19.0
Cache	2	0%	0.72	12.0
Nuke	2	50%	1.34	16.5

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.

16.3%Headshot accuracy

37.4%Accuracy (enemy spotted)

37.4%Spray accuracy

85.9%Counter-strafing

10.2°Preaim

543msReaction time

39.3%T opening success

50.4%CT opening success

0.68Enemies flashed / flash

5.7%Flash assists

10.09HE damage / grenade

7.33Flashes / 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 39.2656% — 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.

36% win rate across 11 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
dust2	8–13	-0.07	12%	13 Aug →
cache	10–13	0.04	11%	6 Aug →
mirage	13–5	0.15	7%	31 Jul →
cache	6–13	-0.08	9%	29 Jul →
nuke	13–7	-0.06	4%	29 Jul →
inferno	12–16	0.01	30%	26 Jul →
dust2	13–7	-0.05	27%	23 Jul →
nuke	8–13	-0.03	22%	22 Jul →
mirage	13–7	0.07	15%	22 Jul →
dust2	13–8	0.07	16%	21 Jul →
mirage	13–11	0.07	19%	20 Jul →
nuke	13–7	0.05	11%	20 Jul →
boulder	13–5	-0.01	13%	16 Jul →
mirage	6–13	-0.01	14%	16 Jul →
cache	4–13	-0.05	15%	16 Jul →
dust2	5–8	-0.03	50%	15 Jul →
nuke	13–5	-0.02	14%	30 Jun →
mirage	10–13	0.09	27%	23 Jun →
mirage	13–8	0.00	16%	21 Jun →
inferno	6–13	-0.03	16%	8 Jun →
dust2	9–13	0.10	21%	7 Jun →
ancient	2–13	-0.03	14%	6 Jun →
dust2	7–13	0.07	14%	5 Jun →
vertigo	13–5	0.20	15%	5 Jun →
nuke	4–13	-0.02	15%	4 Jun →
dust2	10–13	-0.03	19%	2 Jun →
dust2	4–13	0.01	18%	1 Jun →
ancient	13–10	0.03	18%	29 May →
dust2	13–8	-0.07	11%	17 May →
mirage	9–13	0.00	4%	17 May →
cache	0–10	-0.01	36%	15 May →
ancient	13–11	-0.03	14%	15 May →
nuke	3–13	-0.04	18%	13 May →
cache	13–10	-0.00	17%	13 May →
anubis	13–6	0.01	24%	7 May →
cache	13–9	0.00	9%	7 May →
cache	7–13	-0.02	18%	6 May →
cache	13–4	-0.00	30%	5 May →
cache	13–6	-0.03	13%	28 Apr →
overpass	13–5	0.06	18%	2 Apr →
mirage	12–16	0.04	20%	20 Mar →
inferno	10–13	-0.03	12%	19 Mar →
dust2	12–16	0.01	18%	19 Mar →
mirage	13–8	0.04	20%	19 Mar →
inferno	13–7	-0.02	10%	18 Mar →
dust2	1–7	-0.02	16%	18 Mar →
anubis	13–7	0.04	16%	16 Mar →
dust2	9–13	-0.06	19%	12 Mar →
nuke	13–16	0.08	16%	11 Mar →
inferno	11–13	0.09	18%	11 Mar →
dust2	13–11	-0.04	23%	11 Mar →
dust2	13–4	-0.01	17%	11 Mar →
dust2	16–12	0.04	17%	8 Mar →
dust2	10–13	-0.05	14%	7 Mar →
mirage	13–10	-0.01	15%	6 Mar →
ancient	13–6	0.13	11%	6 Mar →
mirage	15–15	0.01	18%	27 Feb →
ancient	13–3	0.05	16%	24 Feb →
dust2	13–2	0.06	20%	24 Feb →
mirage	13–3	-0.01	17%	24 Feb →
ancient	8–13	-0.02	17%	24 Feb →
nuke	13–8	0.02	16%	24 Feb →
inferno	8–13	-0.04	19%	24 Feb →
ancient	13–6	-0.02	13%	23 Feb →
dust2	16–13	0.06	30%	23 Feb →
inferno	13–8	0.04	18%	23 Feb →
mirage	13–6	0.00	19%	23 Feb →
dust2	6–13	0.01	24%	19 Feb →
mirage	9–13	0.02	10%	18 Feb →
dust2	9–13	0.02	18%	18 Feb →
dust2	13–4	0.00	26%	17 Feb →
mirage	13–3	-0.04	6%	17 Feb →
ancient	13–0	0.09	35%	17 Feb →
mirage	10–13	-0.00	16%	16 Feb →
dust2	11–13	-0.00	15%	16 Feb →
dust2	5–13	-0.08	27%	16 Feb →
mirage	13–5	0.03	13%	15 Feb →
dust2	13–4	0.10	6%	15 Feb →
nuke	13–1	-0.00	26%	15 Feb →
dust2	16–14	-0.02	10%	15 Feb →
train	9–13	0.11	17%	15 Feb →
dust2	11–13	-0.04	12%	15 Feb →
anubis	12–12	0.00	14%	14 Feb →
inferno	12–12	0.04	17%	14 Feb →
mirage	13–5	0.03	9%	14 Feb →
inferno	13–2	0.05	20%	14 Feb →
mirage	13–5	0.00	23%	14 Feb →
dust2	13–9	0.07	24%	14 Feb →
ancient	13–9	-0.01	21%	13 Feb →
inferno	13–4	0.12	10%	13 Feb →
dust2	13–3	0.08	13%	13 Feb →
mirage	13–7	0.17	11%	12 Feb →
mirage	6–13	-0.01	20%	12 Feb →
ancient	6–13	-0.01	13%	12 Feb →
nuke	13–8	-0.04	13%	12 Feb →
dust2	14–16	-0.00	19%	11 Feb →
anubis	16–14	0.06	16%	11 Feb →
inferno	5–13	-0.02	20%	10 Feb →
dust2	7–13	-0.05	21%	10 Feb →
ancient	13–9	0.06	18%	9 Feb →