♥ Est3llia<3 — CS2 Stats

76561199026875057[U:1:1066609329]Steam profile ↗✓ No bans

366Tracked matches83%Win rate2023Tracked since

751Hours in CS34Hrs last 2 wks

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 5 · 952 ELOTop 67.6% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim98

Positioning67

Utility47

0–100 skill scores via Leetify.

Recent form

COLD70–24–6Last 10070%Win rateTTLLLLLWLW

Last 10 vs previous 10: -60pp win rate · -0.04 avg rating

Player DNA

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

Aim9.8

Aggression10.0

Utility4.7

Positioning6.7

Opening Duels5.4

Clutch5.2

Sharp aimerStrong T-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.

Your pro match

Plays most like sh1ro 96% playstyle similarity

Most alike: aim profile, opening-fight frequency.

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 98 — the mechanical foundation is a clear strength.

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Positioning. Positioning trails aim by 31 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.

CT openings. Opening success drops from 60% on T to 43% on CT — first contacts on the defending side are being lost.

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

Aim9.8

Positioning6.7

Utility4.7

Mechanics5.3

Opening Duels5.4

Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.05

first ⅓ avg 0.08 → last ⅓ avg 0.04

Reaction time324ms−18ms

first ⅓ avg 342ms → last ⅓ avg 324ms

Headshot accuracy26.2%+2.3%

first ⅓ avg 23.9% → last ⅓ avg 26.2%

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

0.33Best rating — inferno 9–1

13–0Biggest win — anubis

15Longest win streak

6–1In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 100% over 5nukeWeakest map · 53% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	35	21–14	60%	0.05
mirage	S	23	22–1	96%	0.09
nuke	B	15	8–7	53%	0.03
dust2	S	8	6–2	75%	0.07
anubis	S	5	4–1	80%	0.07
ancient	S	5	5–0	100%	0.07
overpass	A	5	3–2	60%	0.11
cache	—	3	1–2	33%	0.05
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (53% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,522Lifetime kills

1.66K/D · Top 5% of tracked players

1,617Matches

47.6%Match win rate · Top 50% of tracked players

26.1%Headshot %

6.9%Shot accuracy

6,871MVPs

346Hours (in match)

1,500Bombs planted

430Bombs defused

Most-used weapons

AWP7,067

AK-476,227

M4A4 / M4A1-S3,412

P2000 / USP-S2,323

Glock-181,332

Desert Eagle1,068

Galil AR778

SSG 08731

MP9596

P90553

Lifetime map wins

4,670inferno

1,652nuke

946dust2

805vertigo

495train

447cbble

104office

100italy

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

Faceit stats

Combat

174Matches

47%Win rate

1.04Avg K/D

79.1ADR

31%Headshot %

Clutches & streaks

46%1v1 clutch win

15%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	53%	1.14	15.2
Anubis	41	56%	1.06	15.1
Dust2	22	41%	0.92	14.9
Ancient	22	23%	0.92	15.5
Inferno	18	61%	1.21	17.4
Nuke	7	14%	0.55	9.4
Overpass	3	33%	0.92	15.3
Cache	2	0%	1.16	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.

24.2%Headshot accuracy

39.6%Accuracy (enemy spotted)

46.6%Spray accuracy

74.1%Counter-strafing

4.1°Preaim

318msReaction time

60.3%T opening success

42.8%CT opening success

0.51Enemies flashed / flash

2.4%Flash assists

10.47HE damage / grenade

10.91Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–8	0.05	47%	27 Aug →
nuke	8–8	0.11	11%	27 Aug →
nuke	1–9	-0.10	0%	26 Aug →
dust2	6–13	-0.04	9%	25 Aug →
vertigo	2–9	-0.07	83%	22 Aug →
nuke	2–9	-0.11	16%	22 Aug →
inferno	5–9	0.01	25%	17 Aug →
mirage	13–3	0.04	46%	14 Jul →
mirage	5–13	-0.02	40%	14 Jul →
mirage	13–4	0.10	22%	14 Jul →
inferno	13–5	0.14	17%	14 Jul →
cache	4–13	-0.06	30%	13 Jul →
anubis	13–0	0.05	14%	13 Jul →
nuke	9–7	0.09	30%	13 Jul →
mirage	13–0	0.04	12%	11 Jul →
ancient	13–0	-0.10	0%	11 Jul →
dust2	13–10	0.12	35%	10 Jul →
cache	13–4	0.08	23%	10 Jul →
nuke	13–10	0.07	16%	9 Jul →
nuke	0–7	-0.04	0%	8 Jul →
overpass	0–9	-0.22	0%	8 Jul →
overpass	9–3	0.30	36%	8 Jul →
nuke	0–9	-0.19	0%	8 Jul →
inferno	4–9	-0.06	29%	8 Jul →
nuke	9–5	0.13	42%	8 Jul →
nuke	9–2	0.11	82%	7 Jul →
inferno	0–9	-0.20	0%	7 Jul →
inferno	9–6	0.06	45%	7 Jul →
overpass	9–2	0.30	47%	7 Jul →
mirage	13–7	0.06	15%	23 Jun →
overpass	13–1	0.13	22%	23 Jun →
dust2	12–16	0.19	26%	23 Jun →
inferno	13–1	0.25	41%	23 Jun →
mirage	13–4	0.10	16%	22 Jun →
inferno	16–14	0.11	24%	21 Jun →
anubis	4–13	-0.08	36%	21 Jun →
mirage	13–2	0.09	17%	21 Jun →
ancient	13–8	0.03	50%	19 Jun →
mirage	13–5	0.08	21%	19 Jun →
inferno	0–9	-0.21	0%	19 Jun →
mirage	13–0	0.08	11%	18 Jun →
mirage	13–2	0.05	25%	18 Jun →
inferno	9–1	0.33	50%	16 Jun →
overpass	5–9	0.02	5%	16 Jun →
dust2	13–9	0.02	17%	16 Jun →
anubis	13–9	0.11	24%	11 Jun →
ancient	13–4	0.07	37%	11 Jun →
mirage	13–1	0.13	36%	11 Jun →
mirage	13–3	0.02	29%	11 Jun →
mirage	13–7	0.17	27%	10 Jun →
inferno	6–13	-0.06	14%	8 Jun →
nuke	9–2	0.18	31%	8 Jun →
inferno	4–9	-0.07	40%	6 Jun →
mirage	13–11	0.05	31%	6 Jun →
inferno	6–9	-0.03	42%	6 Jun →
ancient	13–4	0.17	32%	6 Jun →
mirage	13–7	0.07	26%	6 Jun →
inferno	8–8	-0.02	20%	6 Jun →
dust2	13–6	0.12	27%	6 Jun →
ancient	13–3	0.20	35%	5 Jun →
mirage	13–1	0.12	64%	3 Jun →
inferno	9–3	0.20	10%	3 Jun →
inferno	9–7	-0.01	36%	3 Jun →
nuke	7–9	-0.15	100%	3 Jun →
inferno	9–1	0.20	10%	3 Jun →
mirage	13–1	0.09	11%	3 Jun →
inferno	8–8	0.01	32%	24 May →
inferno	1–9	-0.08	71%	24 May →
inferno	9–2	0.10	56%	24 May →
inferno	9–3	0.20	26%	24 May →
inferno	0–9	-0.17	0%	24 May →
inferno	9–1	0.29	35%	18 May →
cache	6–13	0.13	13%	9 May →
mirage	13–7	0.23	28%	30 Mar →
inferno	13–4	-0.02	26%	13 Mar →
mirage	13–6	0.07	45%	7 Mar →
mirage	7–4	0.07	33%	6 Mar →
inferno	13–5	0.05	14%	6 Mar →
mirage	16–14	0.07	25%	24 Feb →
dust2	13–0	0.03	13%	21 Feb →
dust2	13–4	0.01	18%	21 Feb →
inferno	13–7	0.10	12%	21 Feb →
anubis	13–2	0.20	11%	21 Feb →
inferno	9–7	0.00	29%	19 Feb →
inferno	9–3	0.08	12%	18 Feb →
inferno	9–3	-0.00	22%	18 Feb →
nuke	9–2	0.13	12%	18 Feb →
inferno	9–1	0.16	50%	18 Feb →
inferno	8–8	-0.04	21%	18 Feb →
nuke	9–3	0.04	15%	18 Feb →
nuke	8–8	0.03	18%	18 Feb →
inferno	9–2	0.22	17%	18 Feb →
inferno	9–1	0.05	0%	18 Feb →
inferno	9–5	-0.00	15%	18 Feb →
nuke	9–5	0.15	25%	18 Feb →
mirage	16–12	0.20	33%	18 Feb →
anubis	13–6	0.08	26%	18 Feb →
mirage	13–0	0.17	42%	18 Feb →
dust2	13–10	0.10	12%	17 Feb →
inferno	6–9	0.11	14%	17 Feb →