♿ Emraa ♿ — CS2 Stats

76561198001436223[U:1:41170495]✓ No bans

745Tracked matches43%Win rate2020Tracked since

2,357Hours in CS1Hrs last 2 wks

CSDB Rating4.8 Developing

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning51

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLLWLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim5.5

Aggression5.8

Utility5.9

Positioning5.1

Opening Duels1.1

Clutch2.0

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 NiKo 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms 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

Aim5.5

Positioning5.1

Utility5.9

Mechanics5.6

Opening Duels1.7

Win Impact2.8

Composite 4.8/10 (Developing), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time632ms+26ms

first ⅓ avg 605ms → last ⅓ avg 632ms

Headshot accuracy16.4%−1.4%

first ⅓ avg 17.8% → last ⅓ avg 16.4%

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

0.11Best rating — overpass 16–13

13–2Biggest win — overpass

6Longest win streak

9–8In matches decided by ≤2 rounds

16Overtime games

Map breakdown

nukeBest map · 67% over 6ancientWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	10–14	42%	-0.02
dust2	C	18	8–10	44%	-0.01
ancient	C	15	6–9	40%	-0.01
inferno	B	13	7–6	54%	-0.02
overpass	A	13	8–5	62%	-0.00
anubis	A	9	5–4	56%	-0.02
nuke	S	6	4–2	67%	-0.01
vertigo	—	1	0–1	0%	0.07
alpine	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,760Lifetime kills

1.12K/D · Top 50% of tracked players

3,496Matches

45.7%Match win rate

34.6%Headshot %

12.1%Shot accuracy

7,340MVPs

1,414Hours (in match)

5,741Bombs planted

831Bombs defused

Most-used weapons

AK-4720,984

AWP13,866

M4A4 / M4A1-S11,490

P2000 / USP-S3,729

Desert Eagle3,239

Glock-182,705

P902,095

Five-SeveN1,802

Galil AR1,476

Tec-91,354

Lifetime map wins

14,428dust2

4,848inferno

1,012nuke

896vertigo

846train

695cbble

213office

63lake

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

Faceit stats

Combat

90Matches

56%Win rate

1.01Avg K/D

75.4ADR

39%Headshot %

Clutches & streaks

30%1v1 clutch win

29%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	50%	1.09	17.2
Dust2	9	56%	0.90	15.9
Inferno	8	38%	0.74	11.8
Nuke	2	100%	1.22	17.0
Overpass	2	50%	0.73	12.0

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.

16.1%Headshot accuracy

33.1%Accuracy (enemy spotted)

35.9%Spray accuracy

75.0%Counter-strafing

10.5°Preaim

627msReaction time

25.6%T opening success

43.6%CT opening success

0.75Enemies flashed / flash

7.5%Flash assists

7.15HE damage / grenade

10.70Flashes / 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.

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 25.6109% — 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.

40% win rate across 15 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
dust2	13–6	0.07	9%	23 Aug →
mirage	5–13	0.00	14%	23 Aug →
mirage	6–13	-0.08	26%	24 May →
mirage	13–11	-0.04	12%	11 Apr →
mirage	0–8	0.02	33%	11 Apr →
dust2	8–13	-0.09	18%	11 Apr →
inferno	13–9	0.04	22%	11 Apr →
ancient	13–7	0.05	25%	11 Apr →
overpass	13–2	-0.01	24%	11 Apr →
anubis	13–8	-0.07	9%	11 Apr →
inferno	9–13	-0.01	18%	4 Apr →
ancient	7–13	-0.06	12%	3 Apr →
overpass	1–13	-0.06	13%	29 Mar →
ancient	0–13	-0.03	12%	29 Mar →
dust2	8–13	-0.03	27%	29 Mar →
anubis	13–5	0.03	12%	29 Mar →
inferno	8–13	-0.06	13%	29 Mar →
overpass	13–8	-0.01	10%	29 Mar →
dust2	13–4	0.08	23%	29 Mar →
ancient	3–13	0.01	17%	28 Mar →
anubis	11–5	-0.01	20%	28 Mar →
mirage	10–13	0.01	16%	28 Mar →
overpass	13–9	-0.01	16%	28 Mar →
nuke	9–13	-0.06	16%	28 Mar →
mirage	7–13	-0.03	23%	28 Mar →
dust2	13–11	-0.03	8%	28 Mar →
inferno	9–13	-0.01	14%	27 Mar →
dust2	10–13	0.01	13%	26 Mar →
nuke	14–16	-0.00	11%	26 Mar →
ancient	13–2	0.07	16%	26 Mar →
dust2	19–16	-0.01	17%	26 Mar →
mirage	3–13	-0.04	11%	25 Mar →
mirage	7–13	-0.03	12%	25 Mar →
overpass	13–7	0.01	15%	25 Mar →
inferno	16–14	0.02	13%	25 Mar →
overpass	8–13	-0.02	14%	24 Mar →
ancient	8–13	-0.03	8%	24 Mar →
ancient	9–13	-0.05	14%	24 Mar →
dust2	13–7	0.02	15%	23 Mar →
inferno	13–7	0.00	6%	22 Mar →
ancient	6–13	-0.06	24%	22 Mar →
dust2	16–13	-0.01	13%	20 Mar →
mirage	13–10	0.01	20%	20 Mar →
anubis	13–11	-0.06	13%	20 Mar →
overpass	16–12	0.03	25%	20 Mar →
nuke	13–10	-0.03	21%	20 Mar →
anubis	13–10	-0.02	10%	20 Mar →
dust2	8–13	-0.03	18%	19 Mar →
nuke	16–12	0.04	10%	19 Mar →
overpass	8–13	-0.02	14%	19 Mar →
inferno	9–13	-0.08	14%	19 Mar →
mirage	16–14	-0.03	10%	19 Mar →
mirage	13–9	0.00	22%	18 Mar →
ancient	11–13	0.01	17%	18 Mar →
dust2	8–13	-0.05	16%	18 Mar →
dust2	13–5	0.06	22%	18 Mar →
overpass	16–13	0.11	16%	17 Mar →
dust2	4–13	0.02	26%	17 Mar →
nuke	13–7	-0.01	16%	17 Mar →
inferno	13–10	-0.04	20%	17 Mar →
mirage	13–11	0.02	9%	17 Mar →
inferno	13–10	0.00	16%	17 Mar →
dust2	6–13	-0.04	13%	16 Mar →
mirage	11–13	-0.06	16%	16 Mar →
mirage	14–16	-0.07	10%	15 Mar →
mirage	3–13	-0.04	19%	15 Mar →
inferno	10–3	-0.04	21%	15 Mar →
overpass	13–8	-0.03	15%	15 Mar →
mirage	4–13	-0.04	10%	15 Mar →
dust2	7–13	-0.02	17%	15 Mar →
anubis	7–13	0.03	24%	15 Mar →
mirage	9–13	-0.03	18%	15 Mar →
ancient	13–4	0.04	14%	15 Mar →
mirage	13–8	-0.00	23%	14 Mar →
overpass	8–13	-0.03	23%	14 Mar →
ancient	13–9	0.01	16%	14 Mar →
anubis	11–13	0.00	18%	13 Mar →
dust2	11–13	-0.01	27%	13 Mar →
overpass	13–8	0.05	18%	12 Mar →
mirage	13–9	-0.02	12%	12 Mar →
anubis	15–15	-0.04	20%	12 Mar →
overpass	9–13	-0.06	9%	8 Mar →
ancient	16–13	-0.06	18%	8 Mar →
inferno	13–2	-0.05	20%	8 Mar →
vertigo	0–6	0.07	19%	8 Mar →
mirage	16–13	-0.01	11%	7 Mar →
dust2	7–13	-0.03	31%	7 Mar →
mirage	9–13	-0.02	19%	7 Mar →
inferno	10–13	-0.07	21%	7 Mar →
anubis	8–13	-0.01	22%	7 Mar →
ancient	16–14	-0.00	13%	7 Mar →
alpine	8–0	0.00	25%	6 Mar →
mirage	8–2	-0.01	15%	6 Mar →
dust2	13–11	-0.03	18%	6 Mar →
mirage	13–7	0.02	13%	6 Mar →
nuke	16–14	0.02	18%	6 Mar →
ancient	12–16	0.00	14%	6 Mar →
inferno	11–13	0.01	19%	6 Mar →
ancient	15–15	0.01	19%	6 Mar →
mirage	11–13	-0.08	11%	5 Mar →