Aegis — CS2 Stats

HM76561198022764002[U:1:62498274]Steam profile ↗✓ No bans

2,626Tracked matches48%Win rate2020Tracked since

2,628Hours in CS

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating19,676Purple band · top ~9.8% of ranked players (population est.)

CSDB Leaderboard#3856 of 7976 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning60

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWLWWLLWLWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.6

Aggression8.6

Utility4.7

Positioning6.0

Opening Duels4.1

Clutch0.0

Limited 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 ropz 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

Aim7.6

Positioning6.0

Utility4.7

Mechanics5.1

Opening Duels4.1

Win Impact4.4

Composite 5.8/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time532ms+3ms

first ⅓ avg 529ms → last ⅓ avg 532ms

Headshot accuracy18.9%+2.8%

first ⅓ avg 16.2% → last ⅓ avg 18.9%

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

0.19Best rating — boulder 13–0

13–0Biggest win — cache

4Longest win streak

7–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

trainBest map · 71% over 7ancientWeakest map · 28% over 18

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	24	13–11	54%	0.02
cache	B	21	10–11	48%	0.00
ancient	D	18	5–13	28%	0.01
inferno	A	10	6–4	60%	0.02
anubis	B	8	4–4	50%	0.01
train	S	7	5–2	71%	0.04
boulder	—	4	4–0	100%	0.08
dust2	—	2	1–1	50%	-0.00
fachwerk	—	2	2–0	100%	0.09
vertigo	—	1	1–0	100%	0.08
shelter	—	1	1–0	100%	-0.02
mirage	—	1	0–1	0%	-0.04
overpass	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,046Lifetime kills

1.29K/D · Top 25% of tracked players

8,037Matches

52.3%Match win rate · Top 25% of tracked players

39.5%Headshot %

13.3%Shot accuracy · Top 50% of tracked players

16,552MVPs

2,628Hours (in match)

7,470Bombs planted

2,060Bombs defused

Most-used weapons

AK-4718,169

AWP15,831

M4A4 / M4A1-S15,667

Desert Eagle7,845

SG 5536,399

P2000 / USP-S6,153

P2506,021

P905,796

XM10144,669

Glock-184,311

Lifetime map wins

8,118nuke

7,815dust2

6,278inferno

4,401train

3,707vertigo

2,420office

1,152italy

729bank

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

Faceit stats

Combat

80Matches

59%Win rate

1.07Avg K/D

99.2ADR

39%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	5	40%	1.01	16.8
Ancient	4	50%	1.17	17.0
Mirage	4	75%	1.22	13.5
Nuke	4	50%	1.10	19.5
Inferno	3	33%	0.96	14.7
Vertigo	1	0%	0.88	22.0

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.

18.9%Headshot accuracy

34.1%Accuracy (enemy spotted)

41.5%Spray accuracy

72.8%Counter-strafing

8.7°Preaim

530msReaction time

43.3%T opening success

49.5%CT opening success

0.61Enemies flashed / flash

7.5%Flash assists

7.65HE damage / grenade

1.80Flashes / 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 1.8023 — below the 4 mark we flag
Grenade Lineups →

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.

28% win rate across 18 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
nuke	13–7	0.14	28%	26 Aug →
ancient	10–13	-0.02	19%	25 Aug →
cache	13–8	-0.00	14%	25 Aug →
cache	13–2	-0.02	38%	22 Aug →
nuke	4–13	-0.06	6%	22 Aug →
dust2	10–13	-0.05	10%	16 Aug →
train	13–8	0.05	17%	16 Aug →
ancient	11–13	-0.05	8%	14 Aug →
nuke	13–4	0.07	32%	11 Aug →
cache	10–13	0.03	21%	9 Aug →
ancient	13–8	0.03	29%	9 Aug →
ancient	10–13	-0.02	20%	8 Aug →
cache	9–13	0.00	22%	8 Aug →
anubis	13–5	0.07	20%	7 Aug →
cache	13–0	0.02	0%	7 Aug →
nuke	13–8	0.01	23%	7 Aug →
nuke	12–12	0.03	27%	5 Aug →
anubis	13–10	0.01	14%	5 Aug →
cache	7–13	-0.02	19%	4 Aug →
inferno	13–9	0.04	9%	2 Aug →
nuke	7–13	-0.02	25%	1 Aug →
train	13–3	-0.01	23%	1 Aug →
nuke	12–16	0.02	16%	1 Aug →
inferno	13–9	0.08	11%	1 Aug →
inferno	3–13	-0.00	23%	1 Aug →
nuke	12–16	-0.03	11%	30 Jul →
cache	6–13	-0.04	15%	25 Jul →
ancient	10–13	0.03	18%	25 Jul →
inferno	3–13	-0.03	21%	25 Jul →
train	13–0	0.11	45%	23 Jul →
nuke	13–11	0.06	12%	21 Jul →
anubis	13–16	0.04	14%	21 Jul →
cache	13–9	0.03	14%	21 Jul →
vertigo	13–10	0.08	10%	20 Jul →
nuke	13–7	0.03	16%	20 Jul →
inferno	13–11	-0.02	19%	18 Jul →
cache	9–13	-0.00	21%	18 Jul →
ancient	15–15	0.00	20%	18 Jul →
cache	0–5	-0.05	13%	17 Jul →
nuke	13–7	0.02	16%	17 Jul →
ancient	13–11	0.02	5%	17 Jul →
cache	13–10	0.04	23%	16 Jul →
cache	13–6	0.13	9%	15 Jul →
inferno	14–16	0.02	10%	15 Jul →
boulder	13–0	0.19	18%	15 Jul →
fachwerk	13–6	0.07	16%	15 Jul →
ancient	14–16	0.02	19%	14 Jul →
train	9–13	-0.01	19%	14 Jul →
anubis	3–13	-0.04	17%	13 Jul →
cache	5–13	-0.04	8%	13 Jul →
nuke	13–7	0.01	21%	13 Jul →
train	5–13	0.06	32%	11 Jul →
boulder	13–9	0.06	16%	11 Jul →
nuke	13–4	-0.01	13%	10 Jul →
boulder	13–2	0.02	13%	10 Jul →
cache	7–13	0.00	14%	10 Jul →
shelter	13–4	-0.02	18%	9 Jul →
boulder	13–6	0.03	7%	9 Jul →
fachwerk	13–4	0.11	30%	9 Jul →
ancient	13–16	-0.01	9%	4 Jul →
ancient	7–13	0.02	26%	4 Jul →
nuke	13–6	-0.02	9%	30 Jun →
inferno	13–9	0.05	19%	29 Jun →
anubis	16–14	-0.02	13%	29 Jun →
cache	13–11	0.05	18%	27 Jun →
anubis	11–13	0.01	15%	26 Jun →
nuke	11–13	0.05	16%	26 Jun →
ancient	1–13	-0.06	21%	25 Jun →
nuke	4–13	0.04	18%	25 Jun →
nuke	13–4	0.06	19%	24 Jun →
ancient	13–6	0.05	16%	24 Jun →
anubis	13–9	0.02	14%	24 Jun →
train	13–7	0.02	15%	21 Jun →
cache	8–13	-0.01	8%	21 Jun →
ancient	10–13	0.02	17%	20 Jun →
mirage	2–13	-0.04	17%	20 Jun →
nuke	7–13	-0.01	10%	20 Jun →
cache	13–7	0.01	14%	19 Jun →
nuke	13–1	0.03	21%	19 Jun →
ancient	8–13	0.02	16%	19 Jun →
dust2	13–5	0.05	26%	17 Jun →
cache	13–3	-0.01	11%	17 Jun →
nuke	6–2	0.03	14%	17 Jun →
train	13–10	0.07	13%	17 Jun →
cache	4–13	-0.01	24%	17 Jun →
inferno	13–11	0.08	19%	16 Jun →
anubis	6–13	-0.05	0%	16 Jun →
inferno	16–14	0.01	13%	14 Jun →
ancient	9–13	-0.04	9%	13 Jun →
nuke	13–5	0.04	13%	13 Jun →
nuke	12–12	0.05	18%	12 Jun →
ancient	13–7	0.09	22%	12 Jun →
cache	13–6	-0.00	13%	8 Jun →
ancient	12–12	-0.04	14%	8 Jun →
nuke	12–12	0.00	15%	8 Jun →
cache	6–13	-0.04	25%	7 Jun →
overpass	13–10	0.05	24%	6 Jun →
inferno	6–13	-0.03	14%	6 Jun →
nuke	5–13	-0.01	19%	6 Jun →
ancient	13–3	0.14	21%	6 Jun →