~~ — CS2 Stats

76561198062164139[U:1:101898411]

1,339Tracked matches50%Win rate2020Tracked since

CSDB Rating5.0 Developing

Premier CS Rating23,206Top 50% of 29,473 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateWWLWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim5.9

Aggression5.0

Utility5.8

Positioning5.4

Opening Duels1.2

Clutch1.0

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 NiKo 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 557ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.9

Positioning5.4

Utility5.8

Mechanics3.5

Opening Duels1.2

Win Impact5.0

Composite 5.0/10 (Developing), 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 rating0.01+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time563ms−55ms

first ⅓ avg 618ms → last ⅓ avg 563ms

Headshot accuracy15.1%+0.1%

first ⅓ avg 15.0% → last ⅓ avg 15.1%

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

0.19Best rating — cache 13–10

13–1Biggest win — anubis

3Longest win streak

W2Current streak

4–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 58% over 12nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	21	12–9	57%	0.01
dust2	D	20	5–15	25%	-0.01
anubis	C	14	6–8	43%	0.00
ancient	B	14	7–7	50%	-0.01
inferno	A	12	7–5	58%	-0.01
overpass	D	9	3–6	33%	-0.01
nuke	D	7	1–6	14%	-0.03
mirage	—	3	3–0	100%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

211Matches

50%Win rate

0.91Avg K/D

72.5ADR

36%Headshot %

Clutches & streaks

25%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	17	53%	0.86	14.3
Dust2	14	36%	0.81	12.5
Nuke	12	58%	0.94	13.8
Mirage	11	45%	0.80	11.7
Vertigo	9	44%	0.62	10.6
Anubis	9	44%	1.01	16.0
Inferno	4	25%	0.89	15.8
Overpass	4	75%	1.13	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.

14.9%Headshot accuracy

32.8%Accuracy (enemy spotted)

35.7%Spray accuracy

65.8%Counter-strafing

8.3°Preaim

557msReaction time

30.9%T opening success

38.8%CT opening success

0.62Enemies flashed / flash

6.5%Flash assists

8.46HE damage / grenade

9.08Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.9078% — below the 15% mark we flag
Aim Training →
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 30.949% — below the 40% mark we flag

Spend your practice time on Nuke

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	16–13	0.03	16%	27 Aug →
inferno	13–10	-0.04	9%	27 Aug →
dust2	7–13	0.03	7%	27 Aug →
cache	13–10	0.19	19%	27 Aug →
ancient	5–13	-0.01	14%	27 Aug →
mirage	13–10	0.01	13%	23 Aug →
dust2	13–9	0.03	21%	23 Aug →
inferno	13–3	0.06	16%	17 Aug →
cache	10–13	0.07	23%	17 Aug →
dust2	3–13	-0.03	13%	17 Aug →
cache	13–10	0.01	16%	17 Aug →
ancient	10–13	-0.00	5%	17 Aug →
cache	13–8	-0.04	6%	13 Aug →
anubis	12–12	0.03	15%	13 Aug →
inferno	7–13	-0.04	20%	12 Aug →
ancient	13–2	0.03	9%	12 Aug →
dust2	15–15	-0.02	13%	12 Aug →
anubis	11–13	0.00	24%	12 Aug →
dust2	10–13	0.03	16%	4 Aug →
nuke	13–10	0.04	13%	4 Aug →
cache	13–3	0.04	10%	4 Aug →
anubis	3–13	-0.04	16%	4 Aug →
anubis	11–13	0.02	20%	22 Jul →
ancient	3–7	0.02	14%	22 Jul →
cache	7–13	-0.03	22%	22 Jul →
dust2	13–4	-0.01	9%	22 Jul →
ancient	7–13	-0.02	16%	16 Jul →
dust2	4–13	-0.04	16%	16 Jul →
dust2	13–4	0.03	14%	12 Jul →
anubis	13–9	-0.04	18%	12 Jul →
inferno	13–5	0.03	23%	12 Jul →
cache	6–13	-0.02	15%	12 Jul →
ancient	13–3	0.07	17%	12 Jul →
inferno	16–13	-0.04	12%	9 Jul →
cache	13–8	0.01	13%	9 Jul →
dust2	3–13	-0.08	12%	9 Jul →
ancient	13–4	-0.01	8%	9 Jul →
dust2	10–13	-0.03	16%	6 Jul →
ancient	13–6	0.04	10%	6 Jul →
inferno	4–13	-0.06	16%	6 Jul →
overpass	11–13	-0.01	11%	6 Jul →
dust2	11–13	-0.05	9%	1 Jul →
overpass	13–4	0.10	12%	1 Jul →
anubis	8–13	0.04	11%	1 Jul →
cache	13–9	0.06	8%	1 Jul →
nuke	8–13	-0.09	12%	28 May →
anubis	13–6	-0.01	2%	28 May →
ancient	10–13	-0.05	4%	28 May →
overpass	11–13	-0.03	17%	28 May →
cache	13–10	-0.00	11%	28 May →
anubis	13–8	-0.04	19%	19 May →
inferno	13–11	-0.01	18%	19 May →
overpass	12–16	-0.03	13%	19 May →
cache	5–13	-0.01	30%	19 May →
dust2	10–13	-0.03	13%	16 May →
cache	7–13	-0.03	11%	16 May →
cache	3–0	-0.00	33%	16 May →
nuke	8–13	-0.01	13%	16 May →
mirage	13–9	-0.02	18%	16 May →
cache	4–13	-0.03	25%	16 May →
dust2	6–13	0.02	9%	7 May →
inferno	13–3	-0.02	19%	7 May →
ancient	13–9	-0.03	20%	7 May →
overpass	16–13	0.06	6%	7 May →
cache	12–12	0.03	8%	7 May →
dust2	11–13	0.02	9%	3 May →
mirage	13–8	0.02	7%	3 May →
cache	13–3	-0.01	16%	3 May →
cache	3–13	-0.03	19%	3 May →
cache	13–11	0.04	24%	3 May →
dust2	9–13	0.03	20%	1 May →
cache	8–13	-0.02	17%	1 May →
cache	13–6	0.06	13%	1 May →
cache	13–9	0.04	15%	1 May →
inferno	13–4	0.02	7%	27 Apr →
dust2	15–15	-0.01	10%	27 Apr →
inferno	4–13	-0.08	21%	27 Apr →
overpass	3–13	-0.02	11%	27 Apr →
overpass	13–16	-0.03	15%	24 Apr →
dust2	13–11	-0.03	21%	24 Apr →
nuke	14–16	-0.01	7%	24 Apr →
anubis	11–13	-0.04	12%	24 Apr →
inferno	15–15	-0.01	16%	24 Apr →
anubis	16–12	0.04	11%	21 Apr →
inferno	10–13	0.02	13%	21 Apr →
ancient	13–5	-0.01	8%	21 Apr →
dust2	13–10	-0.07	13%	21 Apr →
nuke	8–13	-0.04	11%	13 Apr →
anubis	9–13	0.03	16%	13 Apr →
dust2	3–13	-0.04	16%	13 Apr →
overpass	0–13	-0.13	29%	13 Apr →
ancient	16–14	-0.04	12%	13 Apr →
nuke	10–13	-0.04	13%	10 Apr →
overpass	13–7	-0.01	12%	10 Apr →
anubis	13–1	0.04	15%	10 Apr →
ancient	9–13	-0.01	10%	10 Apr →
anubis	8–13	0.00	15%	7 Apr →
dust2	8–13	0.03	19%	7 Apr →
nuke	3–13	-0.07	24%	7 Apr →
ancient	4–13	-0.06	11%	7 Apr →