eml — CS2 Stats

76561198069501592[U:1:109235864]Steam profile ↗✓ No bans

2,296Tracked matches27%Win rate2020Tracked since

CSDB Rating5.8 SolidSupport

CSDB Leaderboard#221680 of 260127 tracked

FaceitLevel 10 · 2,390 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning61

Utility71

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLLLWWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.3pp headshot accuracy · +32ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 21%
Avg reaction 528ms

Last 10

3–7 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 19%
Avg reaction 529ms

Last 20

7–13 · 35% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 513ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim7.8

Utility7.1

Positioning6.1

Opening Duels2.7

Clutch3.8

Strong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 53% on CT to 28% 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

Aim7.8

Positioning6.1

Utility7.1

Mechanics6.2

Opening Duels2.9

Win Impact0.0

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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time543ms−49ms

first ⅓ avg 592ms → last ⅓ avg 543ms

Headshot accuracy19.8%−3.1%

first ⅓ avg 22.9% → last ⅓ avg 19.8%

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.

Personal bests

0.18Best match rating · 13–1 · overpass, 21 May →

100%Best headshot accuracy · 0–2 · fachwerk, 22 Jul →

313msFastest reaction time · 0–8 · inferno, 9 Jul →

13–1Biggest win · overpass, 21 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L3Current streak

10–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 53% over 40anubisWeakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	40	21–19	53%	0.02
inferno	C	20	8–12	40%	0.01
anubis	C	19	7–12	37%	0.02
nuke	B	14	7–7	50%	0.01
fachwerk	—	2	1–1	50%	0.00
overpass	—	2	1–1	50%	0.09
vertigo	—	2	1–1	50%	0.01
boulder	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,689Matches

51%Win rate

1.23Avg K/D

86.2ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	312	53%	1.20	17.9
Nuke	289	59%	1.29	18.3
Anubis	255	47%	1.28	18.3
Overpass	89	39%	1.15	17.8
Train	61	48%	1.25	18.5
Cache	46	52%	1.32	19.2
Ancient	46	37%	1.06	17.0
Dust2	4	50%	1.14	13.3

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.

18.3%Headshot accuracy

37.4%Accuracy (enemy spotted)

39.5%Spray accuracy

78.0%Counter-strafing

9.7°Preaim

539msReaction time

28.4%T opening success

53.1%CT opening success

0.60Enemies flashed / flash

9.1%Flash assists

10.22HE damage / grenade

12.26Flashes / 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 28.4297% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	3–13	0.03	21%	5 Nov →
inferno	5–13	-0.07	17%	4 Nov →
inferno	6–13	-0.00	25%	4 Nov →
nuke	19–15	0.01	15%	3 Nov →
cache	13–10	0.03	25%	3 Nov →
inferno	6–13	0.02	26%	3 Nov →
inferno	16–13	0.01	11%	3 Nov →
anubis	11–13	0.00	13%	3 Nov →
nuke	5–13	-0.06	20%	3 Nov →
cache	9–13	0.03	21%	2 Nov →
inferno	16–12	-0.03	16%	31 Oct →
anubis	13–7	0.03	13%	30 Oct →
inferno	13–9	0.06	16%	29 Oct →
anubis	5–13	0.06	23%	29 Oct →
nuke	11–13	0.01	30%	28 Oct →
nuke	13–9	0.09	16%	1 Oct →
cache	7–13	-0.02	15%	27 Sept →
anubis	7–13	-0.01	15%	26 Sept →
cache	6–13	-0.01	16%	24 Sept →
inferno	9–13	0.01	20%	23 Sept →
inferno	4–13	-0.04	18%	10 Sept →
inferno	5–13	-0.10	18%	10 Sept →
cache	7–13	0.08	13%	9 Sept →
anubis	11–13	-0.00	18%	8 Sept →
anubis	11–13	0.01	18%	8 Sept →
cache	4–13	-0.06	33%	8 Sept →
inferno	11–13	0.03	17%	2 Sept →
cache	7–13	-0.00	18%	1 Sept →
cache	6–13	0.05	12%	1 Sept →
nuke	19–17	0.03	17%	28 Aug →
cache	13–4	0.02	29%	27 Aug →
cache	6–13	0.04	52%	27 Aug →
anubis	14–16	0.03	15%	19 Aug →
cache	13–10	0.02	12%	17 Aug →
nuke	4–13	-0.08	12%	17 Aug →
cache	13–11	0.09	19%	17 Aug →
nuke	13–8	0.03	22%	11 Aug →
inferno	16–13	0.06	15%	9 Aug →
cache	10–13	-0.02	22%	8 Aug →
anubis	13–11	-0.02	18%	8 Aug →
nuke	8–13	-0.07	5%	8 Aug →
inferno	13–3	0.12	17%	8 Aug →
anubis	8–13	-0.02	30%	4 Aug →
inferno	17–19	0.04	23%	30 Jul →
fachwerk	13–6	-0.00	21%	22 Jul →
fachwerk	0–2	0.01	100%	22 Jul →
boulder	5–13	-0.05	29%	22 Jul →
cache	13–11	0.05	22%	22 Jul →
anubis	6–13	-0.04	14%	22 Jul →
nuke	8–13	-0.03	19%	22 Jul →
inferno	10–13	0.01	23%	12 Jul →
cache	13–6	0.09	30%	12 Jul →
inferno	0–8	-0.13	20%	9 Jul →
anubis	13–6	0.10	20%	9 Jul →
nuke	6–3	0.07	27%	9 Jul →
nuke	13–5	0.07	44%	6 Jul →
cache	7–13	-0.07	19%	6 Jul →
cache	3–13	0.04	38%	6 Jul →
cache	13–9	0.06	30%	6 Jul →
cache	13–11	0.01	21%	6 Jul →
cache	13–10	0.05	27%	6 Jul →
cache	13–6	0.02	24%	24 May →
cache	13–4	0.05	21%	24 May →
anubis	13–9	0.05	20%	22 May →
cache	12–12	-0.04	22%	22 May →
cache	13–8	-0.00	12%	22 May →
cache	8–13	0.01	16%	22 May →
overpass	13–1	0.18	8%	21 May →
cache	13–9	0.04	11%	19 May →
cache	13–7	0.16	17%	11 May →
cache	12–12	0.06	22%	11 May →
cache	9–13	-0.00	19%	6 May →
cache	7–13	-0.03	26%	5 May →
cache	11–13	-0.01	19%	4 May →
cache	13–3	0.05	22%	4 May →
nuke	14–16	0.03	27%	3 May →
cache	13–7	0.06	27%	3 May →
cache	13–9	0.06	21%	30 Apr →
cache	10–13	0.03	19%	30 Apr →
inferno	5–13	0.03	21%	29 Apr →
cache	13–11	-0.00	22%	29 Apr →
cache	13–11	-0.04	23%	29 Apr →
anubis	13–8	0.04	10%	26 Apr →
nuke	13–10	0.03	25%	26 Apr →
cache	13–11	0.07	20%	26 Apr →
inferno	16–14	0.09	23%	22 Apr →
cache	10–13	-0.06	22%	22 Apr →
inferno	9–13	0.03	30%	22 Apr →
cache	13–10	0.06	22%	22 Apr →
inferno	13–8	0.00	28%	21 Apr →
anubis	6–13	-0.01	18%	16 Apr →
overpass	8–13	-0.00	28%	16 Apr →
vertigo	13–6	0.02	19%	13 Apr →
vertigo	11–13	-0.00	23%	13 Apr →
inferno	13–6	0.08	27%	11 Apr →
nuke	8–13	0.03	27%	9 Apr →
anubis	15–19	0.01	15%	6 Apr →
anubis	13–10	0.04	24%	3 Apr →
anubis	10–13	0.04	29%	2 Apr →
anubis	4–4	-0.00	64%	1 Apr →