NeatChi — CS2 Stats

76561198001890117[U:1:41624389]

1,410Tracked matches47%Win rate2023Tracked since

CSDB Rating3.1 Learning

Premier CS Rating5,142Light Blue band · top ~78.1% of ranked players (population est.)

CSDB Leaderboard#16800 of 21916 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim43

Positioning48

Utility11

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLWLLWWLWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.3

Aggression5.8

Utility1.1

Positioning4.8

Opening Duels1.8

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 75% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.3

Positioning4.8

Utility1.1

Mechanics3.3

Opening Duels1.8

Win Impact3.9

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time626ms−14ms

first ⅓ avg 641ms → last ⅓ avg 626ms

Headshot accuracy10.4%−1.1%

first ⅓ avg 11.4% → last ⅓ avg 10.4%

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

0.11Best rating — inferno 13–5

13–2Biggest win — dust2

11Longest win streak

8–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 81% over 16ancientWeakest map · 30% over 20

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	20	6–14	30%	-0.03
mirage	B	20	9–11	45%	-0.02
nuke	S	16	13–3	81%	0.00
dust2	C	16	7–9	44%	-0.02
anubis	S	9	6–3	67%	-0.03
inferno	S	9	6–3	67%	-0.01
cache	D	6	2–4	33%	-0.05
vertigo	—	4	2–2	50%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches

0%Win rate

0.00Avg K/D

—ADR

0%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

10.1%Headshot accuracy

33.5%Accuracy (enemy spotted)

43.4%Spray accuracy

65.0%Counter-strafing

10.9°Preaim

637msReaction time

37.7%T opening success

36.8%CT opening success

0.15Enemies flashed / flash

0.0%Flash assists

4.21HE damage / grenade

0.40Flashes / 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 10.1447% — below the 15% mark we flag
Aim Training →
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 0.148 — below the 0.5 mark we flag
Grenade Lineups →
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 37.6705% — 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 20 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
anubis	13–6	-0.06	7%	29 Aug →
inferno	12–16	-0.03	8%	29 Aug →
inferno	13–8	0.04	17%	27 Aug →
ancient	4–13	-0.03	9%	27 Aug →
mirage	8–13	-0.01	8%	27 Aug →
nuke	13–6	-0.05	15%	26 Aug →
dust2	13–8	-0.02	11%	26 Aug →
dust2	11–13	0.02	10%	26 Aug →
dust2	13–10	0.01	5%	25 Aug →
mirage	9–13	-0.04	13%	24 Aug →
mirage	13–8	-0.02	10%	24 Aug →
dust2	10–13	-0.05	9%	23 Aug →
ancient	1–13	-0.08	11%	23 Aug →
mirage	5–13	-0.10	2%	23 Aug →
anubis	10–13	-0.05	4%	21 Aug →
nuke	13–4	0.01	5%	21 Aug →
mirage	13–8	0.04	19%	20 Aug →
ancient	8–13	-0.04	10%	20 Aug →
mirage	13–10	-0.07	8%	20 Aug →
inferno	13–5	-0.02	9%	19 Aug →
nuke	13–4	-0.01	18%	19 Aug →
dust2	13–11	-0.06	15%	19 Aug →
ancient	6–13	-0.07	12%	19 Aug →
nuke	13–16	-0.02	21%	19 Aug →
mirage	7–13	-0.01	4%	18 Aug →
ancient	5–13	-0.06	23%	18 Aug →
nuke	16–12	0.00	9%	18 Aug →
dust2	9–13	-0.03	4%	17 Aug →
ancient	11–13	0.02	3%	17 Aug →
mirage	13–10	-0.05	9%	17 Aug →
dust2	13–2	0.00	21%	16 Aug →
nuke	13–4	0.06	10%	16 Aug →
nuke	13–9	0.02	7%	16 Aug →
ancient	13–7	-0.05	9%	16 Aug →
mirage	13–9	-0.02	11%	16 Aug →
ancient	11–5	-0.03	10%	16 Aug →
cache	13–4	-0.02	14%	16 Aug →
nuke	13–4	-0.02	17%	16 Aug →
mirage	13–11	0.05	13%	16 Aug →
nuke	13–6	0.04	21%	16 Aug →
ancient	9–13	-0.06	7%	16 Aug →
inferno	13–7	-0.03	14%	16 Aug →
mirage	8–13	-0.03	8%	15 Aug →
mirage	13–7	0.05	14%	15 Aug →
nuke	8–13	0.06	22%	15 Aug →
anubis	13–10	0.04	10%	14 Aug →
inferno	9–13	-0.01	13%	14 Aug →
dust2	5–13	-0.02	20%	14 Aug →
cache	13–11	-0.06	7%	13 Aug →
anubis	8–13	-0.09	9%	13 Aug →
ancient	13–11	-0.03	21%	12 Aug →
mirage	13–9	-0.09	14%	12 Aug →
anubis	16–14	-0.04	9%	12 Aug →
dust2	13–3	0.02	17%	12 Aug →
inferno	13–6	-0.01	12%	11 Aug →
ancient	8–13	-0.07	8%	11 Aug →
mirage	3–13	-0.03	6%	10 Aug →
dust2	7–13	-0.04	8%	10 Aug →
dust2	3–13	-0.04	15%	9 Aug →
anubis	13–10	-0.01	8%	9 Aug →
ancient	13–4	-0.04	5%	9 Aug →
cache	9–13	-0.06	14%	9 Aug →
ancient	7–13	-0.04	6%	9 Aug →
dust2	5–13	-0.03	13%	9 Aug →
mirage	4–13	-0.02	12%	8 Aug →
dust2	9–13	-0.03	21%	8 Aug →
cache	1–11	-0.08	11%	8 Aug →
ancient	8–13	-0.00	15%	8 Aug →
nuke	13–8	-0.00	14%	8 Aug →
anubis	13–10	-0.02	13%	8 Aug →
ancient	6–13	0.01	10%	7 Aug →
mirage	9–13	0.00	15%	7 Aug →
vertigo	1–13	-0.08	8%	7 Aug →
ancient	13–10	-0.02	14%	6 Aug →
ancient	13–3	0.02	7%	6 Aug →
inferno	8–13	-0.12	13%	6 Aug →
dust2	7–13	-0.05	13%	5 Aug →
ancient	7–13	-0.02	11%	5 Aug →
dust2	13–4	0.04	18%	5 Aug →
vertigo	13–3	0.03	14%	5 Aug →
vertigo	13–11	-0.03	14%	4 Aug →
vertigo	3–13	-0.04	15%	4 Aug →
nuke	13–4	0.01	6%	4 Aug →
dust2	13–10	-0.02	18%	4 Aug →
nuke	13–7	0.03	14%	2 Aug →
anubis	13–11	-0.03	5%	2 Aug →
cache	9–13	-0.01	18%	2 Aug →
inferno	13–3	0.01	14%	1 Aug →
anubis	9–13	-0.04	7%	1 Aug →
inferno	13–5	0.11	5%	1 Aug →
mirage	10–13	-0.03	11%	1 Aug →
ancient	8–13	-0.02	13%	31 Jul →
nuke	13–11	-0.02	12%	31 Jul →
cache	10–13	-0.07	6%	30 Jul →
mirage	13–3	0.02	11%	30 Jul →
nuke	13–5	-0.02	6%	28 Jul →
ancient	6–13	-0.04	11%	28 Jul →
mirage	7–13	-0.06	5%	28 Jul →
nuke	4–13	-0.07	11%	28 Jul →
mirage	11–13	-0.01	13%	27 Jul →