Chiii — CS2 Stats

PH76561199236838811[U:1:1276573083]Steam profile ↗✓ No bans

536Tracked matches39%Win rate2024Tracked since

440Hours in CS

CSDB Rating2.9 Learning

Ladder ranks via Leetify

Performance scores

Aim30

Positioning32

Utility28

0–100 skill scores via Leetify.

Recent form

COLD42–49–9Last 10042%Win rateLLLLLLWLWL

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

Player DNA

Aim3.0

Aggression0.1

Utility2.8

Positioning3.2

Opening Duels0.0

Clutch4.0

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 61% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 36% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 680ms 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

Aim3.0

Positioning3.2

Utility2.8

Mechanics4.8

Opening Duels0.8

Win Impact1.4

Composite 2.9/10 (Learning), 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+0.00

first ⅓ avg -0.05 → last ⅓ avg -0.04

Reaction time690ms+57ms

first ⅓ avg 633ms → last ⅓ avg 690ms

Headshot accuracy14.5%−0.8%

first ⅓ avg 15.3% → last ⅓ avg 14.5%

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

0.08Best rating — overpass 13–5

13–1Biggest win — train

5Longest win streak

L6Current streak

10–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 57% over 7trainWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	18	7–11	39%	-0.05
dust2	C	14	6–8	43%	-0.05
ancient	B	10	5–5	50%	-0.07
train	D	9	3–6	33%	-0.04
inferno	C	9	4–5	44%	-0.03
anubis	B	8	4–4	50%	-0.05
office	C	8	3–5	38%	-0.06
mirage	A	7	4–3	57%	-0.07
overpass	B	6	3–3	50%	-0.03
nuke	—	4	1–3	25%	-0.06
vertigo	—	4	1–3	25%	-0.04
alpine	—	1	0–1	0%	-0.04
warden	—	1	1–0	100%	-0.05
italy	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

11,387Lifetime kills

0.66K/D

1,169Matches

49.2%Match win rate · Top 25% of tracked players

43.3%Headshot %

0.0%Shot accuracy

1,286MVPs

440Hours (in match)

1,737Bombs planted

166Bombs defused

Most-used weapons

AK-473,638

M4A4 / M4A1-S2,927

P2000 / USP-S780

Galil AR647

Glock-18631

MP9423

MAC-10416

Desert Eagle300

FAMAS293

AWP267

Lifetime map wins

2,567dust2

1,541inferno

733nuke

671train

634office

509vertigo

82italy

3ar_baggage

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

Faceit stats

Combat

9Matches

44%Win rate

0.73Avg K/D

54.2ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

12%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	3	33%	0.53	7.7
Mirage	3	67%	0.78	15.3
Dust2	2	50%	1.01	11.5
Anubis	1	0%	0.62	10.0

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.

13.7%Headshot accuracy

29.1%Accuracy (enemy spotted)

29.5%Spray accuracy

71.4%Counter-strafing

11.3°Preaim

680msReaction time

8.1%T opening success

36.3%CT opening success

0.53Enemies flashed / flash

1.6%Flash assists

6.48HE damage / grenade

3.25Flashes / 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 13.6555% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2508 — below the 4 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 8.0932% — below the 40% mark we flag

Spend your practice time on Train

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	1–13	-0.05	10%	12 Aug →
train	7–13	-0.03	11%	12 Aug →
dust2	3–13	-0.06	10%	12 Aug →
inferno	7–13	-0.06	9%	12 Aug →
nuke	5–13	-0.09	19%	12 Aug →
cache	14–16	-0.05	13%	3 Aug →
cache	13–4	-0.05	23%	3 Aug →
dust2	7–13	-0.01	10%	3 Aug →
anubis	13–11	-0.05	18%	3 Aug →
cache	10–13	-0.07	5%	29 Jul →
vertigo	2–13	-0.08	12%	29 Jul →
vertigo	8–13	-0.02	13%	29 Jul →
cache	13–11	-0.03	12%	27 Jul →
ancient	2–13	-0.01	24%	27 Jul →
anubis	5–13	-0.02	17%	27 Jul →
ancient	5–13	-0.06	8%	24 Jul →
anubis	12–12	-0.08	12%	23 Jul →
ancient	13–8	-0.04	10%	15 Jul →
dust2	7–13	-0.04	5%	15 Jul →
office	13–7	-0.05	16%	15 Jul →
cache	11–4	0.02	17%	15 Jul →
inferno	13–7	-0.02	21%	15 Jul →
anubis	7–13	-0.09	22%	15 Jul →
mirage	13–11	-0.06	10%	8 Jul →
dust2	4–13	-0.05	11%	8 Jul →
cache	13–3	-0.04	6%	8 Jul →
vertigo	4–13	-0.00	32%	8 Jul →
cache	13–6	-0.05	17%	3 Jul →
train	12–12	-0.02	10%	3 Jul →
inferno	13–7	-0.01	18%	3 Jul →
dust2	6–13	-0.07	20%	3 Jul →
cache	5–13	-0.05	21%	1 Jul →
cache	5–13	-0.05	21%	1 Jul →
office	12–12	-0.03	15%	1 Jul →
anubis	13–10	-0.05	16%	26 Jun →
overpass	1–7	-0.04	8%	26 Jun →
office	13–9	0.03	13%	26 Jun →
dust2	13–6	-0.09	14%	26 Jun →
alpine	12–12	-0.04	10%	17 Jun →
office	8–13	-0.09	10%	17 Jun →
inferno	9–13	-0.08	13%	17 Jun →
train	2–13	-0.07	15%	17 Jun →
train	6–13	-0.05	16%	17 Jun →
train	4–13	-0.04	28%	17 Jun →
anubis	0–13	-0.07	4%	17 Jun →
cache	13–5	-0.03	6%	17 Jun →
dust2	13–11	-0.05	25%	12 Jun →
nuke	9–13	-0.05	13%	11 Jun →
overpass	13–11	0.01	15%	11 Jun →
mirage	2–13	-0.12	15%	11 Jun →
overpass	8–13	-0.08	12%	11 Jun →
cache	12–12	-0.09	13%	11 Jun →
ancient	13–10	-0.03	10%	7 Jun →
inferno	11–13	-0.05	5%	7 Jun →
vertigo	13–11	-0.04	21%	7 Jun →
dust2	13–10	-0.03	18%	7 Jun →
train	12–12	-0.01	15%	7 Jun →
inferno	6–13	-0.06	14%	2 Jun →
ancient	3–13	-0.12	22%	2 Jun →
mirage	6–13	-0.11	10%	2 Jun →
train	13–8	-0.05	19%	2 Jun →
dust2	13–7	-0.03	7%	2 Jun →
office	7–13	-0.10	14%	2 Jun →
ancient	13–7	-0.09	21%	28 May →
overpass	13–11	-0.06	4%	28 May →
office	13–11	-0.04	15%	28 May →
cache	4–13	-0.11	6%	28 May →
mirage	13–11	-0.01	11%	28 May →
anubis	13–9	-0.01	17%	28 May →
cache	13–7	-0.01	11%	27 May →
mirage	10–6	-0.04	14%	27 May →
anubis	13–9	-0.05	9%	22 May →
cache	8–13	-0.02	19%	22 May →
warden	13–10	-0.05	11%	22 May →
nuke	13–10	-0.04	17%	22 May →
overpass	13–5	0.08	17%	22 May →
train	13–1	0.04	25%	22 May →
ancient	5–13	-0.09	4%	22 May →
cache	12–12	-0.06	17%	22 May →
inferno	13–10	-0.01	31%	21 May →
dust2	13–4	0.01	17%	21 May →
train	13–9	-0.07	15%	20 May →
inferno	13–10	0.01	18%	20 May →
italy	3–13	-0.08	10%	20 May →
mirage	13–10	-0.02	7%	20 May →
ancient	12–12	-0.07	13%	20 May →
cache	5–13	-0.01	11%	20 May →
overpass	11–13	-0.07	20%	20 May →
office	5–13	-0.09	24%	19 May →
ancient	13–6	-0.07	14%	19 May →
dust2	10–13	-0.07	12%	19 May →
ancient	13–11	-0.09	16%	19 May →
inferno	10–13	0.01	13%	18 May →
mirage	2–13	-0.10	4%	18 May →
dust2	13–4	-0.07	35%	18 May →
cache	6–13	-0.07	26%	18 May →
nuke	11–13	-0.08	11%	17 May →
office	1–13	-0.11	15%	17 May →
dust2	12–12	-0.08	16%	17 May →
cache	5–13	-0.09	7%	17 May →