3016/0918 — CS2 Stats

76561198117876120[U:1:157610392]Steam profile ↗

703Tracked matches47%Win rate2020Tracked since

CSDB Rating4.2 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning42

Utility40

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWLLWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating

Player DNA

Aim4.6

Aggression3.9

Utility4.0

Positioning4.2

Opening Duels0.0

Clutch3.8

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 73% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 682ms 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

Aim4.6

Positioning4.2

Utility4.0

Mechanics6.7

Opening Duels0.0

Win Impact3.9

Composite 4.2/10 (Developing), 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 rating-0.04−0.04

first ⅓ avg 0.00 → last ⅓ avg -0.04

Reaction time680ms−16ms

first ⅓ avg 695ms → last ⅓ avg 680ms

Headshot accuracy10.5%−3.5%

first ⅓ avg 14.0% → last ⅓ avg 10.5%

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

0.17Best rating — dust2 13–3

13–2Biggest win — anubis

9Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	44	22–22	50%	-0.01
inferno	A	21	13–8	62%	-0.02
mirage	C	12	5–7	42%	-0.03
ancient	D	10	3–7	30%	-0.03
anubis	S	7	5–2	71%	-0.00
overpass	C	5	2–3	40%	0.01
cache	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

646Matches

48%Win rate

0.82Avg K/D

73.7ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	180	58%	0.86	13.7
Inferno	129	50%	0.84	13.9
Mirage	110	45%	0.90	14.1
Anubis	53	38%	0.83	13.8
Ancient	32	50%	1.05	15.6
Vertigo	21	29%	0.69	12.5
Overpass	14	57%	1.00	13.8
Nuke	12	42%	0.78	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.

10.4%Headshot accuracy

33.2%Accuracy (enemy spotted)

36.7%Spray accuracy

80.0%Counter-strafing

10.6°Preaim

682msReaction time

27.8%T opening success

29.5%CT opening success

0.56Enemies flashed / flash

3.9%Flash assists

9.13HE damage / grenade

4.90Flashes / 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 10.3571% — 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 27.7937% — 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.

30% win rate across 10 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	13–7	0.02	11%	26 Aug →
inferno	13–11	-0.05	17%	18 Aug →
dust2	9–13	-0.05	4%	6 Aug →
dust2	14–16	-0.04	8%	28 Jul →
cache	13–9	-0.06	10%	9 Jul →
inferno	9–3	-0.02	21%	1 Jun →
dust2	10–13	-0.10	6%	31 May →
dust2	13–6	-0.03	18%	22 May →
inferno	13–6	0.02	5%	21 May →
dust2	13–6	0.03	11%	21 May →
inferno	7–13	-0.04	14%	21 May →
dust2	13–11	-0.02	22%	21 May →
dust2	9–13	-0.05	8%	21 May →
inferno	4–13	-0.08	0%	20 May →
inferno	1–13	-0.07	24%	20 May →
mirage	11–13	-0.07	18%	19 May →
inferno	8–13	-0.07	8%	17 May →
dust2	13–11	0.01	17%	17 May →
overpass	7–13	-0.01	9%	17 May →
anubis	11–13	0.00	7%	14 May →
dust2	13–7	-0.06	4%	14 May →
inferno	13–10	-0.06	11%	14 May →
mirage	0–8	-0.11	0%	13 May →
dust2	6–13	-0.10	7%	6 May →
ancient	2–13	-0.06	11%	6 May →
inferno	13–11	-0.04	7%	6 May →
dust2	9–13	-0.04	11%	6 May →
dust2	13–11	-0.01	8%	6 May →
dust2	13–10	-0.05	11%	6 May →
anubis	13–5	0.01	14%	6 May →
inferno	7–13	-0.02	6%	5 May →
inferno	11–13	-0.04	12%	5 May →
dust2	8–13	-0.10	6%	5 May →
ancient	12–16	-0.03	13%	4 May →
inferno	2–13	-0.07	5%	4 May →
dust2	13–16	-0.04	14%	28 Apr →
mirage	13–9	-0.05	10%	28 Apr →
dust2	13–3	0.01	11%	28 Apr →
dust2	16–13	-0.01	12%	28 Apr →
mirage	13–10	-0.06	6%	27 Apr →
overpass	2–13	-0.05	17%	27 Apr →
mirage	9–13	0.00	17%	26 Apr →
dust2	12–16	0.06	10%	26 Apr →
mirage	7–13	-0.04	9%	25 Apr →
ancient	9–13	-0.06	9%	25 Apr →
anubis	9–3	0.01	7%	25 Apr →
dust2	13–9	-0.03	13%	25 Apr →
dust2	10–13	-0.05	11%	25 Apr →
inferno	13–5	0.05	13%	23 Apr →
anubis	13–2	-0.01	7%	23 Apr →
inferno	13–11	0.03	16%	23 Apr →
dust2	13–11	-0.02	12%	23 Apr →
anubis	9–13	-0.01	3%	23 Apr →
dust2	8–13	-0.02	8%	23 Apr →
ancient	12–16	-0.05	5%	23 Apr →
dust2	9–13	0.01	10%	23 Apr →
dust2	13–10	-0.08	7%	23 Apr →
anubis	13–11	-0.01	14%	22 Apr →
inferno	7–13	-0.03	6%	22 Apr →
dust2	8–13	-0.01	10%	22 Apr →
dust2	8–13	0.01	10%	22 Apr →
overpass	11–13	0.05	10%	22 Apr →
inferno	13–5	0.05	12%	21 Apr →
dust2	6–13	-0.01	16%	21 Apr →
overpass	13–4	0.12	13%	21 Apr →
dust2	8–13	-0.03	7%	21 Apr →
dust2	7–13	0.01	9%	20 Apr →
dust2	13–9	0.04	11%	19 Apr →
dust2	4–13	-0.01	9%	19 Apr →
mirage	8–13	-0.00	24%	19 Apr →
dust2	10–13	0.04	13%	17 Apr →
ancient	11–13	-0.05	13%	16 Apr →
mirage	13–5	0.02	19%	16 Apr →
dust2	13–8	-0.02	14%	15 Apr →
mirage	11–13	-0.07	6%	15 Apr →
dust2	8–13	-0.04	15%	14 Apr →
dust2	13–7	-0.03	8%	14 Apr →
ancient	13–6	0.08	14%	14 Apr →
ancient	13–16	-0.06	14%	14 Apr →
mirage	13–9	-0.03	4%	14 Apr →
dust2	13–6	0.01	12%	13 Apr →
inferno	13–7	0.02	18%	13 Apr →
anubis	13–9	-0.03	11%	13 Apr →
overpass	13–9	-0.08	8%	13 Apr →
ancient	13–7	0.00	24%	13 Apr →
dust2	13–7	-0.02	17%	13 Apr →
inferno	13–8	-0.07	8%	13 Apr →
dust2	13–7	-0.01	23%	13 Apr →
mirage	2–13	0.03	20%	13 Apr →
dust2	13–4	0.04	9%	13 Apr →
dust2	13–16	-0.01	14%	13 Apr →
inferno	13–11	-0.00	13%	13 Apr →
dust2	6–13	0.01	36%	13 Apr →
inferno	13–10	0.00	10%	9 Apr →
mirage	13–9	0.00	17%	6 Apr →
ancient	15–15	-0.05	11%	5 Apr →
ancient	13–7	-0.01	7%	4 Apr →
dust2	13–3	0.15	15%	4 Apr →
inferno	13–10	0.02	11%	4 Apr →
dust2	13–3	0.17	15%	4 Apr →