eluas — CS2 Stats

SE76561198360048878[U:1:399783150]Steam profile ↗✓ No bans

641Tracked matches61%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating22,797Top 50% of 44,590 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)

CSDB Leaderboard#13331 of 59234 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning54

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWLLLWWWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim8.4

Aggression7.4

Utility4.2

Positioning5.4

Opening Duels2.3

Clutch1.0

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.4

Positioning5.4

Utility4.2

Mechanics4.3

Opening Duels2.3

Win Impact8.6

Composite 6.1/10 (Solid), 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 rating0.03+0.03

first ⅓ avg -0.00 → last ⅓ avg 0.03

Reaction time500ms−58ms

first ⅓ avg 558ms → last ⅓ avg 500ms

Headshot accuracy21.4%−1.9%

first ⅓ avg 23.3% → last ⅓ avg 21.4%

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 — ancient 13–1

13–1Biggest win — mirage

11Longest win streak

8–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 67% over 12ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	15–10	60%	0.02
inferno	C	20	8–12	40%	0.01
anubis	B	15	7–8	47%	0.00
nuke	S	12	8–4	67%	0.03
ancient	C	11	4–7	36%	0.00
cache	A	11	7–4	64%	0.01
dust2	S	6	4–2	67%	-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

320Matches

52%Win rate

1.16Avg K/D

88.5ADR

43%Headshot %

Clutches & streaks

25%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	69%	1.39	17.6
Vertigo	10	60%	1.45	17.0
Inferno	6	83%	1.07	17.8
Ancient	5	60%	1.50	18.0
Nuke	5	60%	1.44	15.4
Anubis	5	100%	1.53	16.4
Overpass	2	0%	0.85	14.0
Dust2	2	0%	0.96	16.0

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.

21.8%Headshot accuracy

37.5%Accuracy (enemy spotted)

41.9%Spray accuracy

69.3%Counter-strafing

8.3°Preaim

493msReaction time

39.3%T opening success

39.3%CT opening success

0.47Enemies flashed / flash

8.2%Flash assists

10.24HE damage / grenade

5.00Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4669 — below the 0.5 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 39.2651% — 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.

36% win rate across 11 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	6–13	0.08	32%	30 Aug →
mirage	13–8	0.02	12%	29 Aug →
nuke	13–9	-0.04	22%	29 Aug →
ancient	5–13	-0.04	18%	29 Aug →
anubis	11–13	-0.01	20%	29 Aug →
inferno	6–13	0.02	45%	29 Aug →
cache	13–10	0.05	37%	29 Aug →
anubis	13–11	0.07	23%	29 Aug →
mirage	13–4	0.08	18%	29 Aug →
inferno	10–13	-0.06	21%	29 Aug →
cache	16–14	0.05	19%	29 Aug →
nuke	13–5	0.03	16%	29 Aug →
nuke	13–4	-0.00	7%	27 Aug →
inferno	14–16	-0.03	24%	23 Aug →
mirage	13–1	0.15	28%	23 Aug →
mirage	8–13	-0.00	24%	21 Aug →
cache	15–15	0.04	25%	21 Aug →
cache	13–9	0.08	31%	20 Aug →
anubis	13–9	0.08	17%	20 Aug →
inferno	9–13	0.04	19%	20 Aug →
mirage	13–11	0.02	9%	19 Aug →
inferno	6–13	0.01	15%	19 Aug →
inferno	6–13	-0.01	17%	17 Aug →
anubis	13–6	0.12	23%	17 Aug →
mirage	15–15	0.04	21%	17 Aug →
inferno	13–3	0.03	18%	17 Aug →
nuke	13–5	0.03	28%	12 Aug →
anubis	9–13	-0.03	14%	12 Aug →
inferno	13–2	0.09	29%	12 Aug →
cache	13–4	0.02	20%	12 Aug →
ancient	13–10	0.03	12%	12 Aug →
nuke	3–13	0.02	23%	10 Aug →
anubis	13–7	-0.04	17%	10 Aug →
anubis	2–13	-0.00	24%	10 Aug →
nuke	10–13	0.02	18%	9 Aug →
anubis	13–6	0.07	15%	9 Aug →
anubis	5–13	-0.04	14%	9 Aug →
ancient	5–13	-0.04	18%	9 Aug →
mirage	13–8	0.02	32%	8 Aug →
mirage	13–10	0.07	7%	8 Aug →
ancient	9–13	-0.03	12%	8 Aug →
anubis	13–10	0.01	16%	8 Aug →
cache	13–9	0.02	28%	8 Aug →
ancient	11–13	0.05	17%	8 Aug →
mirage	13–16	0.02	21%	8 Aug →
cache	13–6	0.04	8%	8 Aug →
cache	4–13	-0.05	23%	8 Aug →
mirage	13–8	-0.06	7%	8 Aug →
inferno	6–13	-0.03	26%	8 Aug →
anubis	6–13	-0.07	29%	8 Aug →
nuke	13–5	0.07	19%	8 Aug →
ancient	13–1	0.16	28%	8 Aug →
anubis	11–13	-0.04	15%	7 Aug →
cache	8–13	-0.01	16%	7 Aug →
inferno	13–4	0.04	16%	7 Aug →
mirage	5–13	0.05	27%	7 Aug →
inferno	13–5	0.02	18%	7 Aug →
inferno	9–13	0.04	14%	20 Jul →
dust2	13–11	-0.04	18%	20 Jul →
inferno	13–6	0.05	17%	20 Jul →
mirage	4–13	-0.06	23%	19 Jul →
inferno	11–13	0.08	19%	19 Jul →
cache	5–13	-0.02	28%	19 Jul →
mirage	13–11	-0.00	19%	17 Jul →
mirage	1–6	-0.01	36%	16 Jul →
ancient	13–2	-0.01	16%	15 Jul →
nuke	13–1	-0.01	21%	15 Jul →
ancient	8–13	0.01	24%	15 Jul →
inferno	13–5	0.05	34%	15 Jul →
dust2	2–13	-0.02	16%	15 Jul →
mirage	7–13	-0.09	17%	13 Jul →
cache	3–0	-0.07	100%	13 Jul →
mirage	10–2	0.10	32%	13 Jul →
inferno	13–16	0.01	16%	12 Jul →
mirage	5–13	-0.00	39%	9 Jul →
anubis	0–13	-0.04	33%	9 Jul →
mirage	13–7	0.02	21%	9 Jul →
mirage	13–6	-0.03	23%	9 Jul →
anubis	9–13	-0.02	26%	8 Jul →
mirage	4–13	-0.02	15%	8 Jul →
dust2	8–13	0.01	18%	5 Jul →
ancient	7–13	-0.06	7%	28 Jun →
ancient	8–13	-0.02	20%	25 Jun →
inferno	8–13	0.07	17%	14 Jun →
inferno	3–13	-0.06	12%	13 Jun →
mirage	8–13	-0.00	21%	8 Jun →
dust2	13–11	-0.03	16%	7 Jun →
anubis	13–1	-0.04	19%	29 May →
nuke	10–13	0.01	10%	28 May →
dust2	13–9	-0.00	28%	28 May →
ancient	13–7	-0.00	12%	28 May →
mirage	13–5	0.08	34%	27 May →
inferno	13–11	-0.04	20%	27 May →
mirage	16–14	0.04	27%	27 May →
mirage	13–6	-0.01	14%	27 May →
inferno	13–2	-0.03	32%	27 May →
mirage	13–3	0.10	25%	26 May →
nuke	13–3	0.02	11%	25 May →
nuke	13–10	0.11	16%	25 May →
dust2	13–9	-0.05	15%	25 May →