Ac1eee — CS2 Stats

US76561199798936540[U:1:1838670812]Steam profile ↗✓ No bans

837Tracked matches67%Win rate2024Tracked since

CSDB Rating7.3 StrongHybrid Rifler

Premier CS Rating24,660Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

Ladder ranks via Leetify

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

Aim87

Positioning60

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateWLLLWWWWLW

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

Player DNA

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

Aim8.7

Aggression5.9

Utility5.8

Positioning6.0

Opening Duels2.7

Clutch3.6

Sharp aimerStrong CT-side opener

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 94% playstyle similarity

Most alike: positioning profile, 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 87 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim8.7

Positioning6.0

Utility5.8

Mechanics8.0

Opening Duels2.7

Win Impact10.0

Composite 7.3/10 (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+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time589ms−9ms

first ⅓ avg 598ms → last ⅓ avg 589ms

Headshot accuracy23.3%+2.9%

first ⅓ avg 20.5% → last ⅓ avg 23.3%

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

0.14Best rating — mirage 13–8

13–2Biggest win — anubis

4Longest win streak

7–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 66% over 29nukeWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	29	19–10	66%	0.02
mirage	A	28	16–12	57%	0.02
inferno	B	15	7–8	47%	0.01
anubis	C	9	4–5	44%	0.01
ancient	C	9	4–5	44%	-0.00
nuke	C	7	3–4	43%	0.02
cache	—	2	2–0	100%	0.02
vertigo	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

570Matches

52%Win rate

1.33Avg K/D

91.0ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

26%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	223	53%	1.36	18.7
Inferno	124	53%	1.34	18.1
Dust2	82	52%	1.33	18.8
Ancient	54	50%	1.28	17.9
Nuke	35	54%	1.22	18.4
Anubis	19	53%	1.38	17.8
Train	15	60%	1.49	17.3
Overpass	11	36%	1.01	17.8

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.

23.4%Headshot accuracy

36.9%Accuracy (enemy spotted)

42.9%Spray accuracy

86.2%Counter-strafing

8.3°Preaim

592msReaction time

30.6%T opening success

50.7%CT opening success

0.57Enemies flashed / flash

5.2%Flash assists

7.97HE damage / grenade

13.09Flashes / 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 30.5722% — below the 40% mark we flag

Spend your practice time on Nuke

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 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–12	0.04	22%	23 Aug →
dust2	6–13	0.00	22%	23 Aug →
inferno	11–13	-0.02	10%	23 Aug →
nuke	5–13	-0.04	19%	23 Aug →
inferno	13–9	0.02	17%	22 Aug →
dust2	13–6	0.05	31%	22 Aug →
mirage	13–7	0.05	28%	22 Aug →
anubis	13–5	0.06	22%	22 Aug →
inferno	11–13	-0.00	15%	22 Aug →
mirage	13–8	0.14	37%	22 Aug →
ancient	13–4	0.05	20%	22 Aug →
anubis	6–13	-0.08	26%	17 Aug →
ancient	4–4	-0.02	40%	17 Aug →
inferno	13–3	0.05	18%	17 Aug →
cache	13–5	0.03	32%	17 Aug →
dust2	13–9	0.10	33%	17 Aug →
mirage	4–13	0.04	30%	16 Aug →
dust2	13–11	0.06	15%	16 Aug →
mirage	13–5	0.09	24%	16 Aug →
dust2	11–13	0.00	28%	16 Aug →
mirage	13–3	0.00	16%	16 Aug →
anubis	5–13	-0.05	16%	15 Aug →
dust2	10–13	0.05	36%	9 Aug →
nuke	13–11	0.03	15%	9 Aug →
anubis	13–2	0.04	26%	9 Aug →
inferno	4–13	0.01	17%	8 Aug →
dust2	13–11	0.02	28%	8 Aug →
dust2	13–10	0.03	14%	8 Aug →
dust2	13–11	-0.01	36%	8 Aug →
ancient	13–7	-0.00	19%	8 Aug →
inferno	3–13	0.04	28%	8 Aug →
anubis	13–5	0.04	30%	8 Aug →
mirage	0–13	-0.05	0%	8 Aug →
dust2	4–13	-0.06	17%	8 Aug →
anubis	10–13	0.04	22%	3 Aug →
mirage	15–15	-0.03	32%	2 Aug →
dust2	11–13	0.03	35%	2 Aug →
inferno	4–13	0.02	31%	2 Aug →
dust2	13–8	0.07	18%	2 Aug →
mirage	13–10	0.02	15%	2 Aug →
mirage	5–13	0.04	37%	2 Aug →
nuke	15–15	0.01	27%	2 Aug →
ancient	13–10	0.10	44%	1 Aug →
dust2	9–13	-0.02	29%	26 Jul →
mirage	13–9	-0.01	22%	26 Jul →
dust2	13–3	0.05	25%	26 Jul →
nuke	11–13	0.02	33%	26 Jul →
mirage	15–15	0.02	29%	26 Jul →
mirage	13–10	-0.02	12%	25 Jul →
anubis	13–5	0.07	36%	25 Jul →
dust2	1–13	-0.07	17%	25 Jul →
ancient	11–13	-0.03	24%	25 Jul →
inferno	13–4	-0.01	17%	25 Jul →
dust2	13–5	0.01	25%	25 Jul →
mirage	7–13	0.01	21%	25 Jul →
mirage	9–13	0.01	30%	19 Jul →
inferno	16–12	0.01	33%	19 Jul →
mirage	10–13	-0.02	29%	19 Jul →
mirage	13–9	0.02	7%	19 Jul →
dust2	15–15	0.09	34%	18 Jul →
dust2	13–6	-0.04	21%	12 Jul →
ancient	6–13	-0.05	17%	12 Jul →
mirage	11–13	0.01	36%	11 Jul →
inferno	13–9	-0.01	36%	11 Jul →
nuke	13–4	0.00	14%	11 Jul →
mirage	7–13	-0.01	16%	11 Jul →
anubis	9–13	-0.06	24%	11 Jul →
cache	13–10	0.01	12%	11 Jul →
mirage	13–7	0.04	28%	11 Jul →
anubis	12–16	-0.01	24%	4 Jul →
mirage	13–5	0.09	21%	4 Jul →
ancient	4–13	-0.08	3%	4 Jul →
dust2	13–11	-0.00	24%	4 Jul →
vertigo	9–13	0.05	17%	4 Jul →
ancient	8–13	0.03	14%	4 Jul →
mirage	13–5	0.04	6%	3 Jul →
dust2	6–13	-0.01	15%	3 Jul →
dust2	13–3	0.05	27%	3 Jul →
inferno	15–15	0.01	21%	3 Jul →
mirage	5–13	-0.05	14%	28 Jun →
dust2	13–6	0.06	19%	28 Jun →
mirage	13–4	0.02	33%	28 Jun →
mirage	9–13	0.02	17%	28 Jun →
dust2	13–7	0.10	14%	28 Jun →
inferno	10–13	-0.02	19%	28 Jun →
dust2	13–10	0.00	31%	27 Jun →
nuke	9–13	0.02	20%	27 Jun →
inferno	5–13	-0.01	8%	27 Jun →
inferno	13–8	0.07	31%	27 Jun →
mirage	13–7	0.05	22%	26 Jun →
dust2	11–13	-0.00	23%	26 Jun →
inferno	13–4	0.01	18%	26 Jun →
dust2	13–9	0.04	27%	22 Jun →
mirage	13–10	0.10	26%	22 Jun →
dust2	13–5	0.06	38%	21 Jun →
ancient	15–15	-0.03	20%	21 Jun →
mirage	13–11	0.00	22%	20 Jun →
nuke	13–9	0.06	15%	20 Jun →
mirage	13–3	0.06	21%	20 Jun →
dust2	13–10	-0.04	26%	20 Jun →