Cha-ka — CS2 Stats

VI76561198218697392[U:1:258431664]Steam profile ↗

297Tracked matches45%Win rate2025Tracked since

495Hours in CS2Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim82

Positioning63

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateLWLWWLLLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.2

Aggression9.3

Utility4.2

Positioning6.3

Opening Duels4.2

Limited utility dependence

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 91% playstyle similarity

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

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. 552ms 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

Aim8.2

Positioning6.3

Utility4.2

Mechanics7.7

Opening Duels4.2

Win Impact3.3

Composite 6.3/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time562ms−69ms

first ⅓ avg 631ms → last ⅓ avg 562ms

Headshot accuracy14.2%−0.4%

first ⅓ avg 14.7% → last ⅓ avg 14.2%

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

0.21Best rating — cache 11–13

13–1Biggest win — inferno

3Longest win streak

7–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 64% over 11overpassWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	9–14	39%	0.01
cache	C	17	6–11	35%	0.05
nuke	A	11	7–4	64%	0.00
inferno	C	11	4–7	36%	0.03
overpass	D	10	3–7	30%	0.05
dust2	C	9	4–5	44%	0.01
ancient	B	8	4–4	50%	0.04
train	C	5	2–3	40%	0.04
anubis	—	4	2–2	50%	0.04
office	—	1	1–0	100%	-0.04
warden	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

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

Lifetime stats

11,455Lifetime kills

1.22K/D · Top 25% of tracked players

616Matches

44.0%Match win rate

35.3%Headshot %

1.2%Shot accuracy

1,668MVPs

249Hours (in match)

789Bombs planted

173Bombs defused

Most-used weapons

AK-473,178

AWP2,903

M4A4 / M4A1-S1,659

SSG 08520

P2000 / USP-S442

Glock-18394

Desert Eagle369

Nova347

XM1014230

Negev172

Lifetime map wins

1,009dust2

916nuke

710inferno

177train

97vertigo

51office

16italy

16cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.2%Headshot accuracy

40.5%Accuracy (enemy spotted)

38.9%Spray accuracy

84.6%Counter-strafing

8.9°Preaim

552msReaction time

48.4%T opening success

45.0%CT opening success

0.53Enemies flashed / flash

5.5%Flash assists

11.03HE damage / grenade

1.91Flashes / 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 14.1721% — 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 1.9122 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	-0.09	13%	13 Aug →
mirage	13–10	-0.04	16%	12 Aug →
mirage	6–13	-0.06	4%	1 Aug →
cache	13–9	0.03	19%	1 Aug →
ancient	13–7	0.05	18%	1 Aug →
cache	14–16	-0.06	8%	31 Jul →
mirage	8–13	0.05	3%	30 Jul →
cache	11–13	0.07	28%	29 Jul →
nuke	6–13	-0.03	0%	29 Jul →
nuke	13–6	0.03	24%	15 Jul →
cache	13–9	0.04	20%	14 Jul →
train	10–13	0.05	3%	14 Jul →
dust2	12–12	-0.03	18%	11 Jul →
cache	9–2	0.06	40%	8 Jul →
overpass	9–13	0.12	12%	7 Jul →
mirage	8–13	-0.09	13%	1 Jul →
mirage	13–8	0.03	13%	30 Jun →
anubis	8–13	0.05	19%	25 Jun →
cache	3–13	-0.05	25%	24 Jun →
dust2	13–4	0.06	16%	23 Jun →
inferno	9–13	-0.02	17%	11 Jun →
anubis	13–2	0.09	6%	11 Jun →
overpass	13–6	0.10	12%	3 Jun →
dust2	8–1	0.04	0%	3 Jun →
mirage	10–13	0.11	22%	3 Jun →
overpass	1–13	-0.08	7%	2 Jun →
inferno	6–13	-0.06	4%	2 Jun →
mirage	8–13	-0.02	12%	29 May →
ancient	13–2	0.16	19%	29 May →
mirage	13–6	0.07	16%	28 May →
mirage	13–11	0.02	18%	27 May →
cache	12–12	0.05	14%	27 May →
inferno	10–13	-0.01	10%	27 May →
dust2	9–13	-0.02	18%	26 May →
mirage	3–13	0.01	6%	26 May →
cache	4–13	-0.00	9%	18 May →
ancient	13–6	0.13	10%	13 May →
cache	2–13	0.02	11%	10 May →
inferno	3–13	-0.04	10%	10 May →
overpass	13–11	0.00	11%	10 May →
mirage	7–13	0.01	24%	9 May →
cache	11–13	0.21	15%	9 May →
nuke	13–8	0.12	12%	8 May →
cache	13–9	0.08	30%	6 May →
cache	12–12	0.10	15%	5 May →
cache	5–13	0.02	6%	5 May →
mirage	0–8	-0.05	7%	5 May →
nuke	12–16	-0.01	19%	5 May →
nuke	13–11	-0.01	13%	2 May →
anubis	13–3	0.11	14%	2 May →
mirage	13–7	0.04	15%	1 May →
inferno	12–12	0.02	4%	30 Apr →
cache	11–13	0.03	13%	30 Apr →
cache	13–3	0.06	21%	30 Apr →
overpass	13–4	0.05	19%	29 Apr →
ancient	9–13	-0.04	21%	29 Apr →
cache	13–11	0.12	7%	29 Apr →
dust2	7–13	0.01	6%	29 Apr →
cache	12–12	0.03	20%	29 Apr →
inferno	13–11	0.14	10%	28 Apr →
ancient	11–13	0.05	13%	28 Apr →
overpass	11–13	0.07	8%	27 Apr →
mirage	2–13	0.00	7%	27 Apr →
nuke	0–9	-0.24	22%	27 Apr →
mirage	12–12	0.08	16%	24 Apr →
overpass	0–13	0.01	22%	24 Apr →
ancient	7–13	-0.08	9%	24 Apr →
dust2	13–7	0.01	17%	24 Apr →
mirage	9–13	-0.03	4%	23 Apr →
mirage	13–5	0.03	6%	23 Apr →
dust2	8–13	-0.06	25%	23 Apr →
mirage	13–9	-0.02	15%	23 Apr →
inferno	13–7	0.06	28%	23 Apr →
mirage	9–13	0.02	10%	22 Apr →
train	13–7	0.05	6%	22 Apr →
nuke	13–7	0.03	20%	22 Apr →
office	13–8	-0.04	3%	22 Apr →
dust2	7–13	0.03	17%	22 Apr →
train	12–12	0.11	0%	22 Apr →
train	13–5	-0.04	8%	18 Apr →
warden	9–13	0.13	16%	18 Apr →
nuke	13–11	0.02	18%	18 Apr →
mirage	13–2	0.09	3%	18 Apr →
inferno	13–16	0.00	29%	17 Apr →
nuke	9–13	0.04	20%	17 Apr →
inferno	12–12	0.07	24%	17 Apr →
mirage	13–8	0.02	7%	17 Apr →
mirage	8–13	-0.03	6%	16 Apr →
inferno	13–10	0.07	18%	16 Apr →
nuke	13–8	0.10	23%	16 Apr →
overpass	11–13	-0.02	20%	15 Apr →
mirage	9–13	0.01	12%	15 Apr →
inferno	13–1	0.13	14%	15 Apr →
overpass	12–12	0.09	9%	14 Apr →
nuke	13–5	-0.02	25%	14 Apr →
overpass	11–13	0.12	16%	14 Apr →
dust2	13–11	0.03	20%	14 Apr →
train	10–13	0.04	21%	14 Apr →
ancient	2–13	0.01	13%	13 Apr →
ancient	16–13	0.07	12%	13 Apr →