aeroj — CS2 Stats

UA76561199033710731[U:1:1073445003]Steam profile ↗

4,374Tracked matches63%Win rate2021Tracked since

4,177Hours in CS

CSDB Rating7.4 StrongAggressive Rifler

FaceitLevel 10 · 3,049 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	45.3%	52.0%
Shot accuracy	2.6%	13.7%
Kill/death ratio	1.03	1.08
Match win rate	50.2%	48.8%

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Performance scores

Aim91

Positioning67

Utility44

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWWWWWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.06 avg rating

Player DNA

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

Aim9.1

Aggression10.0

Utility4.4

Positioning6.7

Opening Duels5.0

Clutch4.4

Sharp aimerStrong CT-side openerLimited utility dependence

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 sh1ro 92% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower 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 91 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 65% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1

Positioning6.7

Utility4.4

Mechanics6.0

Opening Duels5.0

Win Impact9.4

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time539ms+22ms

first ⅓ avg 518ms → last ⅓ avg 539ms

Headshot accuracy27.8%+3.9%

first ⅓ avg 23.9% → last ⅓ avg 27.8%

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

0.40Best rating — inferno 9–0

13–2Biggest win — mirage

6Longest win streak

W6Current streak

13–6In matches decided by ≤2 rounds

16Overtime games

Map breakdown

nukeBest map · 70% over 10infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	21–12	64%	0.03
dust2	A	27	15–12	56%	0.02
anubis	A	18	11–7	61%	0.03
nuke	S	10	7–3	70%	0.03
inferno	C	10	4–6	40%	0.07
ancient	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,174Lifetime kills

1.03K/D

4,636Matches

50.2%Match win rate · Top 50% of Level 10 players

45.3%Headshot %

2.6%Shot accuracy

13,924MVPs

4,177Hours (in match)

2,608Bombs planted

1,045Bombs defused

Most-used weapons

AWP35,784

AK-4734,387

M4A4 / M4A1-S14,776

P2000 / USP-S6,655

Glock-184,313

MP93,744

Desert Eagle3,540

Knife3,445

Galil AR2,830

MAC-102,216

Lifetime map wins

12,262dust2

4,626nuke

4,090inferno

1,633vertigo

1,384train

4cbble

1ar_shoots

1ar_baggage

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

Faceit stats

Combat

4,097Matches

51%Win rate

1.24Avg K/D

87.1ADR

44%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1326	53%	1.25	18.7
Dust2	813	53%	1.28	19.2
Anubis	697	52%	1.23	18.8
Nuke	295	48%	1.24	18.8
Inferno	206	48%	1.17	17.8
Ancient	183	46%	1.14	16.9
Vertigo	129	47%	1.20	16.7
Train	81	52%	1.30	18.5

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.

27.8%Headshot accuracy

39.4%Accuracy (enemy spotted)

41.5%Spray accuracy

77.1%Counter-strafing

8.5°Preaim

530msReaction time

35.0%T opening success

65.3%CT opening success

0.52Enemies flashed / flash

4.7%Flash assists

9.94HE damage / grenade

3.70Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7029 — below the 4 mark we flag
Grenade Lineups →
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 35.0018% — 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.

40% win rate across 10 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	13–11	0.07	45%	15 Aug →
mirage	13–11	-0.04	25%	10 Aug →
dust2	16–14	-0.01	34%	9 Aug →
mirage	16–12	-0.07	22%	9 Aug →
mirage	13–10	0.20	37%	9 Aug →
dust2	13–10	0.15	32%	8 Aug →
nuke	6–13	0.01	20%	8 Aug →
nuke	9–1	0.08	25%	1 Aug →
inferno	9–3	0.22	37%	1 Aug →
anubis	13–4	-0.01	14%	31 Jul →
mirage	9–13	-0.01	26%	25 Jul →
mirage	6–13	0.08	50%	25 Jul →
mirage	13–11	-0.03	15%	22 Jul →
dust2	5–13	0.01	25%	14 Jul →
dust2	9–13	-0.07	17%	13 Jul →
mirage	13–7	0.09	25%	12 Jul →
mirage	13–2	0.04	26%	12 Jul →
dust2	6–13	-0.02	20%	12 Jul →
anubis	13–10	-0.05	23%	5 Jul →
ancient	5–13	-0.04	34%	5 Jul →
mirage	13–9	0.09	38%	4 Jul →
dust2	13–7	0.02	30%	4 Jul →
anubis	16–13	0.04	39%	4 Jul →
dust2	13–11	0.03	29%	28 Jun →
mirage	9–13	-0.05	26%	28 Jun →
mirage	16–14	0.03	23%	27 Jun →
mirage	13–5	0.03	20%	24 Jun →
mirage	13–3	0.08	20%	23 Jun →
anubis	10–13	0.02	23%	22 Jun →
dust2	10–13	-0.02	26%	22 Jun →
mirage	13–11	0.02	18%	20 Jun →
anubis	11–13	0.01	45%	18 Jun →
nuke	13–8	0.07	32%	17 Jun →
dust2	16–14	0.01	22%	14 Jun →
dust2	13–11	0.06	32%	7 Jun →
dust2	13–10	-0.03	32%	7 Jun →
dust2	13–9	-0.01	12%	7 Jun →
inferno	11–13	0.11	44%	7 Jun →
dust2	13–11	-0.04	25%	6 Jun →
dust2	9–13	0.02	17%	31 May →
inferno	1–13	-0.02	10%	31 May →
anubis	13–10	0.14	26%	31 May →
ancient	2–13	-0.01	54%	30 May →
anubis	10–13	0.04	20%	30 May →
anubis	13–7	0.09	31%	30 May →
anubis	13–8	0.04	16%	25 May →
anubis	8–13	0.03	18%	25 May →
mirage	10–13	-0.02	27%	25 May →
dust2	4–13	0.02	43%	24 May →
mirage	13–11	0.04	23%	24 May →
nuke	16–13	0.06	19%	23 May →
mirage	13–9	0.04	19%	17 May →
anubis	9–13	-0.01	22%	17 May →
dust2	17–19	-0.02	40%	16 May →
dust2	7–13	-0.01	19%	9 May →
nuke	3–13	-0.08	22%	9 May →
dust2	6–13	0.07	26%	3 May →
anubis	13–16	-0.00	48%	2 May →
mirage	13–4	0.03	40%	2 May →
inferno	9–0	0.40	27%	28 Apr →
mirage	7–13	-0.02	25%	28 Apr →
inferno	4–9	-0.05	38%	26 Apr →
mirage	5–13	-0.01	21%	26 Apr →
anubis	19–16	0.01	21%	25 Apr →
inferno	5–9	0.01	43%	22 Apr →
mirage	9–13	0.05	31%	19 Apr →
inferno	13–8	0.02	29%	19 Apr →
mirage	10–13	-0.06	8%	18 Apr →
mirage	13–2	0.10	47%	10 Apr →
dust2	14–16	0.01	26%	9 Apr →
mirage	13–10	0.03	20%	7 Apr →
dust2	13–8	0.02	36%	30 Mar →
mirage	19–22	0.02	23%	28 Mar →
nuke	4–13	-0.05	32%	28 Mar →
dust2	13–3	0.13	13%	28 Mar →
inferno	13–7	0.00	6%	28 Mar →
dust2	5–13	0.03	12%	28 Mar →
mirage	6–13	0.00	18%	28 Mar →
dust2	13–10	0.04	11%	28 Mar →
inferno	13–16	-0.03	15%	28 Mar →
nuke	13–10	-0.01	23%	28 Mar →
anubis	13–7	0.06	35%	21 Mar →
mirage	6–13	0.05	31%	21 Mar →
mirage	13–10	-0.00	25%	20 Mar →
dust2	16–13	0.06	25%	20 Mar →
mirage	13–6	0.02	20%	17 Mar →
mirage	19–17	-0.01	14%	16 Mar →
dust2	13–7	0.13	27%	16 Mar →
mirage	11–13	0.08	23%	15 Mar →
mirage	13–2	0.23	21%	15 Mar →
nuke	13–5	0.16	17%	14 Mar →
inferno	12–16	0.03	28%	14 Mar →
anubis	16–12	-0.02	11%	12 Mar →
nuke	13–7	0.07	38%	10 Mar →
anubis	13–8	0.08	30%	10 Mar →
anubis	13–9	0.09	35%	9 Mar →
anubis	11–13	-0.00	35%	9 Mar →
dust2	2–13	-0.09	22%	8 Mar →
mirage	13–11	0.04	50%	8 Mar →
nuke	13–8	-0.02	14%	7 Mar →