Aero — CS2 Stats

FI76561198068986621[U:1:108720893]Steam profile ↗✓ No bans

1,218Tracked matches46%Win rate2021Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 10 · 2,118 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning58

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLWWLTLWWLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

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

Aim8.5

Aggression7.8

Utility6.7

Positioning5.8

Opening Duels3.9

Clutch3.0

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 b1t 94% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.0° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 60% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim8.5

Positioning5.8

Utility6.7

Mechanics7.5

Opening Duels3.9

Win Impact3.8

Composite 6.6/10 (Solid), 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 0.00 → last ⅓ avg 0.02

Reaction time593ms−1ms

first ⅓ avg 593ms → last ⅓ avg 593ms

Headshot accuracy20.8%−0.2%

first ⅓ avg 21.0% → last ⅓ avg 20.8%

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

0.16Best rating — mirage 13–5

13–2Biggest win — cache

5Longest win streak

9–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 75% over 8ancientWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	22	10–12	45%	0.01
mirage	B	22	10–12	45%	0.01
ancient	D	21	7–14	33%	0.02
inferno	A	11	7–4	64%	0.01
nuke	S	8	6–2	75%	-0.03
dust2	S	7	5–2	71%	-0.02
anubis	B	6	3–3	50%	0.04
overpass	—	2	2–0	100%	0.01
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

628Matches

60%Win rate

0.95Avg K/D

62.8ADR

39%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	228	59%	0.94	12.2
Ancient	128	64%	1.01	12.7
Inferno	89	58%	0.94	12.7
Nuke	67	66%	0.93	13.3
Dust2	64	56%	0.88	12.7
Anubis	19	63%	1.12	12.7
Overpass	6	83%	1.43	13.8
Train	6	50%	0.90	12.8

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.

20.5%Headshot accuracy

41.6%Accuracy (enemy spotted)

47.9%Spray accuracy

83.8%Counter-strafing

11.0°Preaim

606msReaction time

31.5%T opening success

59.9%CT opening success

0.67Enemies flashed / flash

8.3%Flash assists

10.23HE damage / grenade

13.29Flashes / 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 31.4554% — 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.

33% win rate across 21 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
ancient	10–13	0.09	14%	10 Aug →
ancient	13–5	0.08	17%	10 Aug →
ancient	12–2	0.00	30%	10 Aug →
ancient	10–13	-0.03	11%	10 Aug →
ancient	12–12	0.06	20%	10 Aug →
ancient	7–13	0.02	19%	10 Aug →
ancient	13–3	0.07	13%	10 Aug →
cache	13–11	0.08	36%	10 Aug →
anubis	7–13	0.00	24%	7 Aug →
cache	13–8	0.07	17%	7 Aug →
ancient	7–13	-0.01	8%	3 Aug →
nuke	13–6	0.08	26%	3 Aug →
mirage	5–13	-0.03	30%	24 Jul →
cache	4–13	-0.05	27%	24 Jul →
cache	0–5	-0.04	20%	31 May →
cache	10–13	0.03	16%	31 May →
cache	13–4	0.07	15%	31 May →
cache	13–9	0.01	10%	26 May →
mirage	10–13	0.02	17%	26 May →
cache	12–12	-0.00	21%	26 May →
mirage	13–10	0.09	19%	25 May →
cache	4–13	-0.04	14%	25 May →
cache	13–8	0.05	31%	24 May →
cache	13–8	0.00	11%	24 May →
ancient	7–13	-0.04	17%	24 May →
ancient	5–13	-0.02	17%	24 May →
cache	13–8	0.06	31%	24 May →
mirage	13–9	0.04	28%	24 May →
ancient	5–13	-0.03	25%	22 May →
anubis	7–13	0.01	31%	22 May →
cache	8–13	-0.05	21%	22 May →
cache	12–12	-0.02	22%	21 May →
ancient	9–13	0.02	28%	21 May →
dust2	13–16	-0.03	20%	21 May →
mirage	13–10	0.07	22%	19 May →
cache	8–13	0.00	26%	19 May →
cache	10–13	0.02	18%	18 May →
mirage	3–8	-0.01	35%	14 May →
nuke	13–10	-0.03	18%	10 May →
inferno	10–13	0.05	18%	10 May →
inferno	13–5	0.06	23%	9 May →
overpass	13–11	0.04	27%	9 May →
ancient	3–13	-0.07	19%	9 May →
dust2	5–13	-0.07	24%	9 May →
ancient	16–13	0.05	11%	9 May →
mirage	9–13	0.06	25%	9 May →
mirage	13–11	-0.01	28%	9 May →
mirage	13–16	-0.00	24%	9 May →
dust2	13–10	0.00	20%	9 May →
mirage	13–3	0.04	18%	8 May →
nuke	9–13	-0.00	16%	8 May →
cache	1–8	-0.03	21%	8 May →
cache	11–13	-0.04	16%	8 May →
cache	13–2	0.01	17%	8 May →
cache	13–4	-0.06	30%	8 May →
mirage	7–13	0.02	18%	3 May →
ancient	5–13	0.00	10%	3 May →
cache	13–7	0.05	25%	3 May →
cache	12–12	0.03	18%	3 May →
dust2	13–8	0.00	20%	25 Apr →
anubis	13–11	0.04	18%	25 Apr →
dust2	13–10	0.03	27%	25 Apr →
mirage	11–13	-0.03	30%	25 Apr →
dust2	13–10	-0.04	12%	25 Apr →
inferno	8–13	-0.00	27%	25 Apr →
inferno	13–4	0.03	23%	25 Apr →
ancient	12–12	0.01	13%	25 Apr →
train	13–4	0.04	32%	25 Apr →
mirage	18–22	-0.05	22%	18 Apr →
dust2	19–17	-0.06	18%	17 Apr →
inferno	13–11	-0.03	17%	15 Apr →
inferno	13–4	0.10	15%	15 Apr →
nuke	16–14	-0.07	12%	14 Apr →
mirage	13–5	-0.01	26%	13 Apr →
nuke	10–13	-0.02	25%	13 Apr →
inferno	13–11	0.01	23%	13 Apr →
mirage	7–13	-0.09	13%	13 Apr →
mirage	11–13	0.02	27%	7 Apr →
ancient	13–10	0.02	23%	5 Apr →
anubis	2–6	0.09	39%	4 Apr →
anubis	13–4	0.00	16%	4 Apr →
mirage	13–5	0.16	20%	1 Apr →
inferno	6–13	-0.02	22%	1 Apr →
nuke	13–9	-0.04	30%	30 Mar →
mirage	13–8	-0.01	18%	30 Mar →
inferno	9–13	-0.01	15%	29 Mar →
ancient	13–7	0.06	27%	27 Mar →
nuke	13–3	-0.08	36%	26 Mar →
nuke	13–11	-0.05	17%	26 Mar →
ancient	8–13	0.01	22%	22 Mar →
mirage	13–5	0.03	19%	22 Mar →
ancient	6–13	-0.01	27%	20 Mar →
anubis	13–3	0.09	20%	18 Mar →
mirage	13–6	0.08	10%	15 Mar →
inferno	13–5	-0.01	17%	14 Mar →
mirage	10–13	-0.11	13%	14 Mar →
ancient	13–5	0.13	18%	13 Mar →
mirage	7–13	-0.07	20%	12 Mar →
inferno	13–9	-0.03	14%	12 Mar →
overpass	13–9	-0.03	20%	12 Mar →