你好吗? — CS2 Stats

76561198181810186[U:1:221544458]Steam profile ↗✓ No bans

2,098Tracked matches63%Win rate2020Tracked since

3,178Hours in CS0Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating16,296Purple band · top ~23.2% of ranked players (population est.)

CSDB Leaderboard#29164 of 52325 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	39.9%	48.5%	51.9%	12.0% short
Shot accuracy	17.3%	13.3%	13.7%	above
Kill/death ratio	1.27	1.07	1.08	above
Match win rate	53.8%	47.0%	48.7%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning54

Utility74

0–100 skill scores via Leetify.

Recent form

STEADY60–32–8Last 10060%Win rateLTLWLLLWWW

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

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

Aim7.5

Aggression7.1

Utility7.4

Positioning5.4

Opening Duels2.5

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 Twistzz 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 624ms 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

Aim7.5

Positioning5.4

Utility7.4

Mechanics6.9

Opening Duels2.5

Win Impact9.3

Composite 6.7/10 (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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time632ms−51ms

first ⅓ avg 683ms → last ⅓ avg 632ms

Headshot accuracy17.3%−0.3%

first ⅓ avg 17.6% → last ⅓ avg 17.3%

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

0.17Best rating — dust2 7–2

13–0Biggest win — dust2

8Longest win streak

7–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 64% over 83ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	83	53–30	64%	0.05
ancient	D	6	2–4	33%	-0.00
inferno	A	5	3–2	60%	0.03
mirage	—	3	2–1	67%	0.04
office	—	1	0–1	0%	-0.03
anubis	—	1	0–1	0%	0.04
nuke	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,669Lifetime kills

1.27K/D · Top 25% of Level 9 players

3,973Matches

53.8%Match win rate · Top 10% of Level 9 players

39.9%Headshot %

17.3%Shot accuracy · Top 25% of Level 9 players

13,144MVPs

1,752Hours (in match)

5,285Bombs planted

981Bombs defused

Most-used weapons

AK-4725,994

M4A4 / M4A1-S19,744

AWP12,435

P2000 / USP-S5,966

Glock-183,778

MP92,511

MAC-102,472

P2502,412

Tec-92,285

Desert Eagle2,060

Lifetime map wins

23,571dust2

9,854inferno

754nuke

332train

259vertigo

194cbble

8office

2dust

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

Faceit stats

Combat

396Matches

54%Win rate

1.29Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	38	55%	1.28	17.7
Anubis	37	51%	1.24	18.8
Inferno	26	54%	1.31	17.9
Mirage	24	46%	1.03	15.3
Dust2	16	50%	1.17	18.2
Nuke	9	33%	0.96	16.3
Vertigo	2	100%	1.10	13.0

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.

17.1%Headshot accuracy

39.7%Accuracy (enemy spotted)

41.7%Spray accuracy

81.1%Counter-strafing

10.5°Preaim

624msReaction time

40.3%T opening success

39.6%CT opening success

0.70Enemies flashed / flash

14.5%Flash assists

10.62HE damage / grenade

14.76Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.6348% — 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.

33% win rate across 6 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	0–5	0.05	17%	17 Aug →
dust2	12–12	0.03	22%	16 Aug →
dust2	2–13	-0.03	19%	16 Aug →
dust2	13–11	0.06	23%	16 Aug →
dust2	7–13	0.02	16%	16 Aug →
dust2	6–13	-0.02	14%	15 Aug →
dust2	2–13	0.00	26%	15 Aug →
dust2	13–11	0.05	16%	15 Aug →
dust2	13–2	0.08	35%	11 Aug →
dust2	13–10	0.04	21%	11 Aug →
dust2	13–4	0.14	16%	9 Aug →
dust2	13–6	0.05	13%	9 Aug →
dust2	5–13	0.05	25%	9 Aug →
dust2	13–3	0.03	16%	9 Aug →
dust2	13–9	0.05	17%	6 Aug →
dust2	13–2	0.06	13%	6 Aug →
dust2	13–10	-0.05	9%	3 Aug →
dust2	13–5	0.05	17%	23 Jul →
dust2	13–5	0.09	32%	23 Jul →
dust2	13–7	0.06	8%	21 Jul →
dust2	13–8	-0.00	9%	15 Jul →
dust2	12–12	0.02	13%	15 Jul →
dust2	11–13	0.02	14%	14 Jul →
dust2	10–13	-0.01	13%	7 Jul →
dust2	13–6	0.02	17%	28 Jun →
ancient	4–13	-0.07	21%	10 May →
ancient	11–13	-0.05	6%	10 May →
inferno	13–11	-0.03	22%	10 May →
dust2	13–2	0.14	18%	17 Apr →
dust2	12–12	0.14	17%	17 Apr →
dust2	12–12	0.06	16%	16 Apr →
dust2	13–4	0.05	14%	16 Apr →
dust2	13–6	0.08	16%	16 Apr →
dust2	13–3	0.06	22%	15 Apr →
dust2	13–3	0.10	40%	15 Apr →
dust2	13–4	0.09	35%	15 Apr →
dust2	13–8	0.06	9%	14 Apr →
dust2	7–2	0.17	20%	14 Apr →
dust2	11–13	-0.01	23%	14 Apr →
dust2	8–2	0.01	14%	14 Apr →
dust2	13–4	0.14	16%	12 Apr →
dust2	13–6	0.07	18%	12 Apr →
dust2	6–13	0.05	17%	12 Apr →
dust2	13–2	0.10	16%	12 Apr →
dust2	10–13	-0.02	10%	11 Apr →
dust2	7–13	-0.02	12%	11 Apr →
dust2	7–13	-0.00	20%	10 Apr →
dust2	13–0	0.06	36%	10 Apr →
dust2	13–6	0.08	20%	10 Apr →
dust2	13–4	0.10	14%	7 Apr →
dust2	13–4	0.03	9%	7 Apr →
dust2	13–1	0.00	19%	1 Apr →
mirage	7–13	0.03	13%	30 Mar →
inferno	6–13	-0.03	11%	30 Mar →
dust2	13–10	-0.01	24%	30 Mar →
dust2	10–13	0.06	14%	28 Mar →
dust2	13–11	0.01	19%	28 Mar →
dust2	12–12	0.04	21%	26 Mar →
dust2	13–2	0.15	23%	26 Mar →
dust2	10–13	0.02	19%	26 Mar →
dust2	13–3	0.00	26%	26 Mar →
ancient	8–13	-0.06	16%	25 Mar →
ancient	13–10	0.04	26%	25 Mar →
ancient	13–6	0.16	14%	25 Mar →
dust2	13–6	0.09	29%	24 Mar →
dust2	6–13	0.07	16%	24 Mar →
dust2	13–2	0.04	19%	24 Mar →
dust2	13–1	0.13	37%	23 Mar →
dust2	13–6	0.09	15%	23 Mar →
dust2	13–7	0.16	19%	23 Mar →
dust2	13–10	0.02	23%	23 Mar →
dust2	13–0	0.09	15%	23 Mar →
dust2	12–12	0.02	17%	22 Mar →
office	3–13	-0.03	15%	22 Mar →
dust2	12–12	0.07	15%	22 Mar →
dust2	11–13	0.05	25%	22 Mar →
dust2	13–2	0.08	22%	21 Mar →
dust2	13–6	0.00	15%	21 Mar →
dust2	13–0	0.10	21%	20 Mar →
dust2	13–11	0.04	13%	20 Mar →
dust2	8–13	0.04	11%	17 Mar →
mirage	16–13	0.01	13%	17 Mar →
dust2	11–13	-0.04	19%	16 Mar →
dust2	13–7	0.07	16%	15 Mar →
dust2	3–13	0.01	9%	15 Mar →
dust2	12–12	0.00	23%	15 Mar →
dust2	13–8	0.04	13%	15 Mar →
mirage	13–11	0.08	16%	14 Mar →
dust2	13–9	-0.01	18%	14 Mar →
anubis	8–13	0.04	15%	14 Mar →
nuke	6–13	-0.07	2%	14 Mar →
dust2	13–4	0.02	27%	13 Mar →
dust2	13–8	-0.00	7%	12 Mar →
dust2	16–14	0.01	19%	12 Mar →
inferno	13–5	0.10	15%	12 Mar →
inferno	10–13	0.03	11%	10 Mar →
inferno	13–6	0.10	20%	10 Mar →
ancient	11–13	-0.05	20%	10 Mar →
dust2	2–13	0.02	25%	8 Mar →
dust2	10–13	0.01	26%	8 Mar →