pl@y — CS2 Stats

76561198116930946[U:1:156665218]✓ No bans

1,896Tracked matches50%Win rate2020Tracked since

5,898Hours in CS21Hrs last 2 wks

CSDB Rating5.9 Solid

Premier CS Rating25,016Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#1876 of 11874 tracked

FaceitLevel 10 · 2,050 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

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	43.9%	52.8%
Shot accuracy	16.6%	13.7%
Kill/death ratio	1.22	1.08
Match win rate	39.0%	49.2%

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Performance scores

Aim57

Positioning66

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWWTLTLWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.7

Aggression10.0

Utility5.6

Positioning6.6

Opening Duels5.7

Clutch3.4

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 88% playstyle similarity

Most alike: opening-fight frequency, 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. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.7

Positioning6.6

Utility5.6

Mechanics4.4

Opening Duels5.7

Win Impact5.0

Composite 5.9/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time579ms−35ms

first ⅓ avg 614ms → last ⅓ avg 579ms

Headshot accuracy17.6%−2.7%

first ⅓ avg 20.4% → last ⅓ avg 17.6%

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 — dust2 13–3

13–0Biggest win — mirage

6Longest win streak

6–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 53% over 17anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	17	9–8	53%	0.04
dust2	B	17	8–9	47%	0.04
inferno	B	15	8–7	53%	0.02
nuke	C	14	6–8	43%	0.02
anubis	D	11	3–8	27%	-0.01
ancient	B	8	4–4	50%	0.00
cache	C	5	2–3	40%	-0.01
overpass	C	5	2–3	40%	-0.01
train	—	4	1–3	25%	-0.01
vertigo	—	2	2–0	100%	0.03
office	—	2	1–1	50%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

165,604Lifetime kills

1.22K/D · Top 25% of Level 10 players

6,669Matches

39.0%Match win rate

43.9%Headshot %

16.6%Shot accuracy · Top 25% of Level 10 players

15,703MVPs

2,636Hours (in match)

8,147Bombs planted

1,905Bombs defused

Most-used weapons

AK-4756,500

M4A4 / M4A1-S36,894

AWP16,213

Desert Eagle11,249

P2000 / USP-S8,075

Glock-184,923

Five-SeveN3,671

Knife3,240

XM10142,854

Tec-92,340

Lifetime map wins

12,281inferno

4,779dust2

3,797nuke

2,718train

1,744vertigo

1,292cbble

213office

194lake

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

Faceit stats

Combat

1,171Matches

50%Win rate

1.08Avg K/D

76.7ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	83	39%	0.96	14.8
Anubis	81	47%	1.01	14.4
Ancient	81	48%	0.96	15.1
Mirage	52	35%	0.94	14.5
Nuke	44	64%	1.41	15.4
Dust2	21	57%	0.99	14.7
Vertigo	13	38%	1.17	14.2
Overpass	13	38%	1.11	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.

17.9%Headshot accuracy

33.9%Accuracy (enemy spotted)

37.9%Spray accuracy

69.8%Counter-strafing

11.6°Preaim

571msReaction time

49.4%T opening success

56.1%CT opening success

0.48Enemies flashed / flash

3.4%Flash assists

10.32HE damage / grenade

9.76Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4843 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	1–13	-0.04	13%	21 Aug →
mirage	13–9	0.10	13%	19 Aug →
inferno	13–2	-0.05	16%	19 Aug →
inferno	12–12	0.01	21%	19 Aug →
inferno	6–13	-0.00	22%	18 Aug →
mirage	12–12	0.04	22%	13 Aug →
anubis	11–13	-0.01	19%	13 Aug →
inferno	13–10	-0.05	11%	9 Aug →
anubis	6–13	0.04	11%	9 Aug →
mirage	13–11	0.06	18%	9 Aug →
ancient	13–11	0.08	18%	9 Aug →
ancient	6–13	0.02	18%	8 Aug →
anubis	7–13	0.00	25%	8 Aug →
nuke	13–11	0.05	15%	7 Aug →
ancient	10–13	0.03	19%	6 Aug →
inferno	11–13	0.02	12%	6 Aug →
ancient	13–9	-0.06	13%	5 Aug →
nuke	13–10	0.03	10%	5 Aug →
dust2	11–13	-0.08	15%	5 Aug →
dust2	3–13	-0.09	33%	4 Aug →
inferno	8–4	-0.02	19%	4 Aug →
cache	13–9	0.07	21%	3 Aug →
nuke	13–4	0.06	15%	3 Aug →
dust2	5–13	0.04	24%	3 Aug →
mirage	7–13	0.03	12%	3 Aug →
dust2	13–9	0.04	34%	2 Aug →
nuke	10–13	-0.02	7%	2 Aug →
dust2	13–11	0.06	22%	2 Aug →
dust2	13–2	0.00	22%	2 Aug →
ancient	11–13	-0.07	20%	2 Aug →
cache	2–13	-0.04	6%	1 Aug →
anubis	8–13	-0.07	24%	1 Aug →
nuke	9–13	-0.01	11%	31 Jul →
inferno	13–10	0.08	16%	31 Jul →
dust2	8–13	-0.00	19%	31 Jul →
mirage	10–13	0.00	16%	31 Jul →
inferno	13–6	0.10	24%	27 Jul →
inferno	9–13	0.05	24%	25 Jul →
nuke	3–13	-0.06	25%	25 Jul →
dust2	13–5	0.06	8%	25 Jul →
anubis	10–11	-0.05	24%	24 Jul →
ancient	13–8	-0.02	16%	24 Jul →
mirage	13–6	0.08	28%	24 Jul →
overpass	12–12	-0.04	21%	27 Jun →
dust2	13–7	0.03	29%	27 Jun →
mirage	13–6	0.01	4%	27 Jun →
overpass	13–9	0.08	15%	13 Jun →
dust2	9–13	0.00	22%	13 Jun →
mirage	13–0	0.09	50%	13 Jun →
ancient	13–10	0.07	15%	12 Jun →
nuke	10–13	0.01	18%	12 Jun →
mirage	13–8	0.05	26%	12 Jun →
vertigo	13–6	-0.01	21%	6 Jun →
nuke	8–13	-0.00	17%	6 Jun →
inferno	12–12	0.04	25%	6 Jun →
mirage	13–9	0.04	23%	5 Jun →
nuke	2–13	0.01	21%	5 Jun →
mirage	3–13	0.05	14%	5 Jun →
inferno	10–13	0.04	13%	5 Jun →
dust2	12–12	0.10	19%	5 Jun →
overpass	10–13	-0.03	29%	4 Jun →
mirage	12–12	-0.03	19%	30 May →
inferno	4–13	0.05	20%	30 May →
dust2	13–3	0.03	15%	30 May →
train	4–13	0.04	22%	30 May →
anubis	13–10	-0.04	20%	30 May →
cache	6–13	0.00	14%	29 May →
inferno	13–5	-0.02	16%	29 May →
mirage	11–13	0.01	22%	29 May →
dust2	6–13	0.03	18%	29 May →
nuke	7–13	0.09	17%	29 May →
nuke	1–13	-0.08	17%	24 May →
anubis	12–12	0.04	15%	24 May →
inferno	13–7	0.07	28%	23 May →
nuke	13–2	-0.01	13%	23 May →
dust2	13–3	0.20	17%	23 May →
cache	13–7	-0.03	15%	23 May →
nuke	13–8	0.09	21%	22 May →
dust2	13–3	0.09	14%	22 May →
anubis	6–13	0.05	18%	22 May →
cache	9–13	-0.06	21%	22 May →
train	12–12	0.02	20%	15 May →
mirage	6–13	-0.05	24%	15 May →
office	7–13	-0.01	28%	15 May →
office	13–8	-0.09	33%	13 May →
train	11–13	-0.01	26%	25 Apr →
anubis	7–13	-0.07	20%	25 Apr →
overpass	7–13	-0.03	16%	25 Apr →
mirage	13–6	0.10	14%	25 Apr →
mirage	13–3	0.08	11%	24 Apr →
anubis	4–13	-0.02	28%	24 Apr →
train	12–4	-0.08	14%	24 Apr →
dust2	6–13	0.05	28%	24 Apr →
overpass	13–3	-0.01	16%	18 Apr →
nuke	13–9	0.08	16%	18 Apr →
inferno	11–12	0.01	22%	18 Apr →
dust2	9–13	0.02	21%	18 Apr →
mirage	4–13	0.05	26%	18 Apr →
anubis	13–7	0.01	29%	18 Apr →
vertigo	13–9	0.06	29%	11 Apr →