丂卂卩ㄒ乇丂 — CS2 Stats

76561199141118599[U:1:1180852871]Steam profile ↗✓ No bans

4,638Tracked matches50%Win rate2021Tracked since

5,777Hours in CS141Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating22,279Top 50% of 819 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)

CSDB Leaderboard#5344 of 17337 tracked

FaceitLevel 10 · 2,608 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	55.8%	52.8%
Shot accuracy	6.9%	13.7%
Kill/death ratio	1.04	1.08
Match win rate	50.0%	49.2%

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Performance scores

Aim73

Positioning53

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLLLLWWLWWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim7.3

Aggression7.3

Utility6.1

Positioning5.3

Opening Duels3.3

Clutch3.6

Effective flashes

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 b1t 91% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 556ms 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

Aim7.3

Positioning5.3

Utility6.1

Mechanics4.9

Opening Duels3.3

Win Impact5.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time556ms+20ms

first ⅓ avg 536ms → last ⅓ avg 556ms

Headshot accuracy26.5%+2.0%

first ⅓ avg 24.5% → last ⅓ avg 26.5%

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

0.30Best rating — dust2 13–7

13–2Biggest win — ancient

8Longest win streak

L4Current streak

8–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 69% over 35infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	35	24–11	69%	0.04
mirage	B	29	14–15	48%	0.01
inferno	D	13	4–9	31%	0.02
ancient	C	13	5–8	38%	0.03
anubis	A	5	3–2	60%	-0.01
cache	—	2	1–1	50%	0.10
office	—	2	0–2	0%	-0.04
vertigo	—	1	1–0	100%	0.18

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,071Lifetime kills

1.04K/D

5,078Matches

50.0%Match win rate · Top 50% of Level 10 players

55.8%Headshot % · Top 50% of Level 10 players

6.9%Shot accuracy

15,306MVPs

2,777Hours (in match)

6,545Bombs planted

1,787Bombs defused

Most-used weapons

AK-4741,987

M4A4 / M4A1-S19,849

Desert Eagle13,531

AWP13,119

P2000 / USP-S5,890

Glock-183,801

Knife2,846

Galil AR2,467

MP92,135

SSG 081,770

Lifetime map wins

10,789inferno

10,312dust2

2,337vertigo

1,580nuke

890train

110office

47cbble

13assault

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

Faceit stats

Combat

3,389Matches

52%Win rate

1.17Avg K/D

82.6ADR

54%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

14Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	704	51%	1.13	16.3
Dust2	581	53%	1.16	16.8
Ancient	421	51%	1.11	16.1
Anubis	283	50%	1.08	16.4
Inferno	280	55%	1.24	17.6
Nuke	68	49%	1.08	16.7
Train	47	49%	1.04	15.7
Vertigo	44	45%	1.02	15.9

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.

27.1%Headshot accuracy

31.7%Accuracy (enemy spotted)

31.8%Spray accuracy

72.0%Counter-strafing

8.6°Preaim

556msReaction time

35.9%T opening success

50.4%CT opening success

0.76Enemies flashed / flash

8.3%Flash assists

8.59HE damage / grenade

9.60Flashes / 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 35.9476% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–9	0.03	13%	28 Aug →
dust2	4–13	-0.11	14%	28 Aug →
mirage	4–13	-0.05	32%	28 Aug →
mirage	7–13	-0.03	18%	28 Aug →
dust2	7–2	-0.01	30%	28 Aug →
dust2	13–8	0.08	36%	26 Aug →
mirage	3–13	0.02	36%	26 Aug →
dust2	13–8	0.01	22%	21 Aug →
dust2	13–7	0.30	33%	19 Aug →
anubis	13–3	0.03	29%	18 Aug →
dust2	6–13	-0.03	21%	17 Aug →
mirage	13–11	-0.00	24%	15 Aug →
dust2	13–4	0.16	36%	15 Aug →
cache	8–13	0.07	37%	15 Aug →
anubis	8–13	-0.01	30%	15 Aug →
dust2	13–9	0.01	19%	14 Aug →
inferno	8–13	0.03	38%	12 Aug →
anubis	19–17	-0.02	28%	10 Aug →
inferno	6–13	0.06	20%	7 Aug →
dust2	13–4	0.04	15%	6 Aug →
mirage	13–9	0.08	29%	3 Aug →
dust2	13–11	0.08	21%	2 Aug →
anubis	9–13	-0.04	29%	1 Aug →
mirage	13–7	-0.05	19%	1 Aug →
mirage	7–13	0.08	47%	31 Jul →
mirage	13–9	-0.02	20%	31 Jul →
dust2	11–13	0.03	38%	31 Jul →
inferno	9–13	-0.06	15%	30 Jul →
dust2	13–4	0.01	27%	30 Jul →
dust2	7–13	-0.04	29%	30 Jul →
ancient	1–13	-0.02	17%	30 Jul →
dust2	10–13	-0.03	36%	29 Jul →
anubis	13–6	-0.01	14%	29 Jul →
mirage	13–10	0.04	14%	29 Jul →
inferno	5–13	0.04	39%	27 Jul →
ancient	13–5	0.13	32%	27 Jul →
dust2	13–7	0.01	25%	27 Jul →
ancient	5–13	-0.05	5%	27 Jul →
dust2	13–9	0.04	21%	27 Jul →
ancient	11–13	-0.05	26%	26 Jul →
dust2	13–10	-0.01	23%	26 Jul →
inferno	11–13	-0.07	26%	25 Jul →
inferno	12–16	0.03	38%	25 Jul →
mirage	3–13	-0.07	29%	24 Jul →
mirage	8–13	0.01	23%	24 Jul →
mirage	13–16	0.03	32%	24 Jul →
ancient	10–13	-0.00	27%	24 Jul →
mirage	13–6	-0.07	22%	23 Jul →
ancient	9–13	-0.02	30%	20 Jul →
cache	16–13	0.14	34%	20 Jul →
dust2	3–13	0.00	43%	20 Jul →
mirage	11–13	-0.01	24%	20 Jul →
dust2	13–8	0.04	25%	20 Jul →
mirage	13–16	0.06	18%	20 Jul →
dust2	11–13	0.05	29%	20 Jul →
ancient	13–9	-0.03	37%	19 Jul →
mirage	13–10	0.07	23%	19 Jul →
dust2	11–13	0.03	22%	19 Jul →
dust2	13–8	0.11	27%	18 Jul →
ancient	13–2	0.20	31%	18 Jul →
inferno	11–13	0.04	17%	18 Jul →
mirage	14–16	0.09	42%	18 Jul →
dust2	13–3	0.08	33%	18 Jul →
mirage	2–13	0.07	31%	17 Jul →
dust2	13–8	0.06	32%	17 Jul →
dust2	13–9	0.05	34%	17 Jul →
mirage	12–16	-0.02	19%	16 Jul →
dust2	9–13	0.02	42%	16 Jul →
mirage	13–8	0.03	29%	15 Jul →
ancient	9–13	0.02	20%	15 Jul →
inferno	9–13	-0.01	20%	15 Jul →
mirage	11–13	-0.01	30%	14 Jul →
mirage	11–13	0.04	43%	14 Jul →
dust2	13–5	0.08	7%	13 Jul →
ancient	7–13	-0.01	28%	13 Jul →
mirage	16–14	-0.02	25%	13 Jul →
mirage	13–7	0.02	25%	13 Jul →
dust2	10–13	0.03	15%	13 Jul →
inferno	13–6	-0.02	23%	13 Jul →
ancient	8–13	0.12	26%	13 Jul →
dust2	13–11	0.08	30%	13 Jul →
dust2	16–13	0.10	20%	9 Jul →
inferno	13–5	0.04	13%	9 Jul →
dust2	19–15	0.04	30%	8 Jul →
dust2	13–11	0.08	24%	8 Jul →
vertigo	13–5	0.18	41%	8 Jul →
office	2–13	-0.05	22%	8 Jul →
office	7–13	-0.04	33%	8 Jul →
mirage	13–9	0.01	31%	6 Jul →
inferno	13–7	0.03	19%	6 Jul →
ancient	13–3	0.06	30%	4 Jul →
dust2	13–11	0.08	31%	3 Jul →
inferno	13–9	0.09	20%	2 Jul →
dust2	13–10	0.06	22%	2 Jul →
mirage	13–11	0.03	13%	1 Jul →
mirage	13–7	0.07	31%	30 Jun →
mirage	7–13	-0.08	16%	29 Jun →
mirage	13–8	0.09	23%	28 Jun →
dust2	10–13	0.03	15%	28 Jun →
ancient	16–13	0.01	13%	28 Jun →