empty — CS2 Stats

CN76561198008969383[U:1:48703655]Steam profile ↗✓ No bans

1,651Tracked matches73%Win rate2020Tracked since

CSDB Rating7.8 StrongAggressive Rifler

Premier CS Rating27,329Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#531 of 11226 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning59

Utility71

0–100 skill scores via Leetify.

Recent form

HOT63–35–2Last 10063%Win rateWWWWWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim8.9

Aggression10.0

Utility7.1

Positioning5.9

Opening Duels5.0

Clutch2.0

Sharp aimerStrong 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.

Your pro match

Plays most like sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 39% 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

Aim8.9

Positioning5.9

Utility7.1

Mechanics6.6

Opening Duels5.0

Win Impact10.0

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time546ms−7ms

first ⅓ avg 553ms → last ⅓ avg 546ms

Headshot accuracy26.6%+3.6%

first ⅓ avg 23.0% → last ⅓ avg 26.6%

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

0.20Best rating — mirage 13–1

13–0Biggest win — ancient

8Longest win streak

W6Current streak

8–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 89% over 9mirageWeakest map · 44% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	12–8	60%	0.03
inferno	A	18	11–7	61%	0.02
mirage	C	16	7–9	44%	0.03
ancient	S	15	10–5	67%	0.03
nuke	S	9	8–1	89%	0.01
overpass	B	8	4–4	50%	0.02
anubis	S	7	5–2	71%	0.01
cache	S	5	4–1	80%	0.02
vertigo	—	1	1–0	100%	-0.04
train	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,076Matches

56%Win rate

1.18Avg K/D

77.2ADR

49%Headshot %

Clutches & streaks

30%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	80	48%	1.03	15.4
Anubis	44	50%	1.07	14.4
Ancient	33	55%	0.99	15.6
Dust2	33	52%	0.96	15.1
Inferno	28	54%	0.98	14.3
Nuke	19	63%	1.24	14.6
Vertigo	12	58%	0.97	15.0
Train	3	67%	1.16	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.

26.5%Headshot accuracy

37.0%Accuracy (enemy spotted)

40.5%Spray accuracy

79.8%Counter-strafing

8.3°Preaim

544msReaction time

39.4%T opening success

60.4%CT opening success

0.60Enemies flashed / flash

9.0%Flash assists

8.26HE damage / grenade

14.61Flashes / 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 39.4368% — below the 40% mark we flag

Spend your practice time on Mirage

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.10	25%	28 Aug →
inferno	13–9	0.03	26%	28 Aug →
dust2	13–6	0.02	23%	26 Aug →
ancient	13–4	0.06	26%	26 Aug →
nuke	13–4	0.06	22%	26 Aug →
inferno	13–9	0.02	22%	23 Aug →
mirage	9–13	0.01	37%	23 Aug →
ancient	13–11	-0.00	18%	22 Aug →
dust2	13–7	0.04	23%	22 Aug →
mirage	13–2	0.06	21%	22 Aug →
inferno	8–13	-0.02	30%	22 Aug →
mirage	13–10	0.02	32%	22 Aug →
mirage	13–4	0.06	27%	17 Aug →
dust2	13–9	0.03	27%	14 Aug →
ancient	13–16	-0.00	14%	22 Jul →
mirage	6–13	0.01	19%	21 Jul →
nuke	2–13	-0.00	17%	21 Jul →
cache	13–2	0.03	31%	9 Jul →
cache	13–10	0.03	31%	9 Jul →
cache	13–9	-0.01	34%	7 Jul →
dust2	13–11	-0.02	28%	7 Jun →
inferno	13–7	-0.06	13%	29 May →
mirage	6–13	-0.02	21%	28 May →
cache	13–10	0.03	28%	19 May →
anubis	13–7	-0.01	22%	19 May →
dust2	13–8	0.07	43%	19 May →
mirage	8–13	-0.03	41%	6 May →
dust2	13–6	0.01	27%	6 May →
cache	7–13	-0.00	40%	29 Apr →
inferno	9–3	0.17	29%	21 Apr →
vertigo	9–4	-0.04	25%	21 Apr →
inferno	13–9	-0.01	25%	18 Apr →
nuke	13–9	0.01	30%	18 Apr →
mirage	11–13	-0.04	16%	16 Apr →
mirage	13–1	0.20	39%	16 Apr →
inferno	3–13	0.00	24%	16 Apr →
ancient	9–13	-0.02	21%	15 Apr →
inferno	13–6	-0.00	53%	23 Mar →
anubis	6–13	-0.05	18%	23 Mar →
mirage	7–13	-0.03	21%	23 Mar →
dust2	11–13	0.05	28%	20 Mar →
dust2	8–1	0.13	52%	19 Mar →
inferno	14–16	0.01	24%	10 Mar →
overpass	6–13	-0.02	40%	9 Mar →
inferno	13–3	0.09	22%	6 Mar →
dust2	8–13	-0.02	33%	6 Mar →
nuke	13–4	-0.05	29%	27 Feb →
dust2	9–13	-0.07	26%	19 Feb →
inferno	7–13	-0.08	16%	18 Feb →
inferno	13–8	0.13	22%	15 Feb →
ancient	13–0	0.12	27%	14 Feb →
mirage	15–15	0.06	23%	14 Feb →
dust2	13–7	0.02	28%	13 Feb →
dust2	10–13	-0.00	15%	12 Feb →
mirage	13–9	0.03	26%	10 Feb →
ancient	13–5	0.07	23%	10 Feb →
dust2	13–4	0.06	28%	9 Feb →
mirage	13–10	0.02	19%	9 Feb →
nuke	13–3	-0.01	13%	9 Feb →
dust2	6–13	0.01	45%	8 Feb →
inferno	11–13	0.06	24%	8 Feb →
inferno	13–2	-0.07	12%	8 Feb →
overpass	11–13	-0.01	24%	8 Feb →
ancient	13–9	0.08	29%	4 Feb →
dust2	8–13	0.20	25%	30 Jan →
overpass	2–13	-0.04	27%	28 Jan →
anubis	13–2	0.03	26%	27 Jan →
mirage	12–12	0.08	24%	27 Jan →
mirage	13–11	-0.06	26%	27 Jan →
dust2	13–2	0.03	11%	27 Jan →
ancient	13–11	-0.01	20%	27 Jan →
anubis	16–12	0.03	26%	23 Jan →
overpass	13–11	0.06	26%	23 Jan →
nuke	13–9	0.03	14%	22 Jan →
anubis	13–8	0.01	22%	22 Jan →
ancient	13–9	0.04	31%	22 Jan →
anubis	9–13	0.00	20%	22 Jan →
ancient	13–8	0.03	27%	22 Jan →
ancient	8–13	-0.03	22%	14 Jan →
nuke	13–7	0.01	25%	14 Jan →
overpass	13–9	0.00	23%	10 Jan →
nuke	13–8	-0.01	30%	4 Jan →
ancient	13–16	0.08	21%	3 Jan →
train	13–7	0.02	27%	3 Jan →
overpass	11–13	0.06	19%	3 Jan →
ancient	13–10	0.07	20%	3 Jan →
dust2	10–13	-0.03	29%	3 Jan →
inferno	9–7	0.14	11%	2 Jan →
inferno	13–10	0.07	21%	30 Dec →
inferno	3–13	-0.04	38%	28 Dec →
dust2	10–13	-0.02	23%	28 Dec →
ancient	2–13	-0.07	17%	28 Dec →
mirage	11–13	0.06	30%	27 Dec →
overpass	16–14	0.09	16%	27 Dec →
dust2	13–11	0.01	26%	17 Dec →
inferno	5–13	-0.05	23%	12 Dec →
anubis	13–6	0.08	19%	11 Dec →
dust2	13–4	0.01	30%	8 Dec →
nuke	13–7	0.02	31%	1 Dec →
overpass	13–6	0.01	9%	28 Nov →