ChetS — CS2 Stats

IN76561198066108732[U:1:105843004]Steam profile ↗✓ No bans

5,464Tracked matches40%Win rate2020Tracked since

7,822Hours in CS8Hrs last 2 wks

CSDB Rating3.5 Learning

Ladder ranks via Leetify

Performance scores

Aim49

Positioning33

Utility43

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLLLLLLLW

Last 10 vs previous 10: -70pp win rate · +0.02 avg rating

Player DNA

Aim4.9

Aggression2.1

Utility4.3

Positioning3.3

Opening Duels0.0

Clutch3.4

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 652ms 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

Aim4.9

Positioning3.3

Utility4.3

Mechanics4.6

Opening Duels0.0

Win Impact1.7

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time643ms−1ms

first ⅓ avg 644ms → last ⅓ avg 643ms

Headshot accuracy22.6%+7.1%

first ⅓ avg 15.5% → last ⅓ avg 22.6%

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

0.16Best rating — office 13–7

13–3Biggest win — dust2

4Longest win streak

L9Current streak

12–9In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 64% over 11infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	13–18	42%	-0.02
mirage	B	15	8–7	53%	-0.01
ancient	A	11	7–4	64%	-0.01
inferno	D	11	3–8	27%	-0.01
anubis	A	9	5–4	56%	-0.01
nuke	B	8	4–4	50%	0.01
overpass	C	8	3–5	38%	0.02
cache	—	4	0–4	0%	0.00
train	—	2	1–1	50%	-0.04
office	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,230Lifetime kills

0.95K/D

8,430Matches

47.4%Match win rate · Top 50% of tracked players

45.9%Headshot % · Top 50% of tracked players

11.8%Shot accuracy

19,262MVPs

3,917Hours (in match)

11,897Bombs planted

2,529Bombs defused

Most-used weapons

AK-4753,985

M4A4 / M4A1-S28,135

AWP23,140

P908,817

P2000 / USP-S8,584

Glock-187,262

MP94,660

Tec-94,574

MAC-104,021

P2503,951

Lifetime map wins

32,367dust2

12,870inferno

5,059nuke

5,033vertigo

1,669train

169cbble

47italy

44dust

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

Faceit stats

Combat

2,951Matches

50%Win rate

0.97Avg K/D

75.9ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

15Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	555	52%	0.98	15.2
Ancient	547	53%	0.97	14.9
Mirage	431	41%	0.89	13.9
Anubis	354	45%	0.91	14.8
Vertigo	218	54%	0.99	15.2
Inferno	203	50%	0.99	14.8
Nuke	176	52%	1.00	15.1
Overpass	57	51%	1.03	15.9

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.

21.6%Headshot accuracy

31.0%Accuracy (enemy spotted)

36.5%Spray accuracy

70.6%Counter-strafing

11.7°Preaim

652msReaction time

22.5%T opening success

26.9%CT opening success

0.50Enemies flashed / flash

6.0%Flash assists

7.65HE damage / grenade

7.08Flashes / 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.

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 0.4974 — 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 22.511% — below the 40% mark we flag

Spend your practice time on Inferno

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	8–13	-0.05	21%	12 Aug →
cache	14–16	0.05	18%	12 Aug →
inferno	5–13	-0.02	21%	12 Aug →
mirage	6–13	-0.02	13%	12 Aug →
cache	11–13	-0.03	16%	11 Aug →
inferno	11–13	0.02	21%	4 Aug →
dust2	12–16	-0.07	19%	3 Aug →
mirage	1–7	-0.04	33%	23 Jul →
cache	11–13	-0.03	12%	23 Jul →
anubis	13–7	-0.01	20%	16 Jul →
nuke	16–13	-0.05	24%	10 Jul →
ancient	13–10	-0.04	24%	1 Jul →
dust2	13–9	-0.05	36%	1 Jul →
inferno	2–13	-0.11	15%	1 Jul →
mirage	13–6	-0.00	16%	1 Jul →
dust2	4–13	-0.09	15%	1 Jul →
dust2	13–11	-0.05	30%	30 Jun →
nuke	13–11	-0.01	7%	26 Jun →
anubis	13–10	-0.00	24%	26 Jun →
dust2	16–13	-0.05	24%	20 Jun →
anubis	1–13	-0.07	14%	20 Jun →
dust2	6–13	-0.06	8%	17 Jun →
dust2	6–13	-0.01	25%	17 Jun →
dust2	16–14	-0.00	19%	16 Jun →
mirage	12–16	-0.05	32%	16 Jun →
dust2	1–6	-0.04	56%	16 Jun →
inferno	7–13	-0.00	26%	16 Jun →
anubis	6–13	-0.06	25%	11 Jun →
inferno	13–10	0.08	26%	5 Jun →
dust2	13–6	-0.02	33%	1 Jun →
inferno	11–13	-0.04	18%	29 May →
inferno	8–13	0.03	21%	29 May →
dust2	4–13	-0.06	33%	26 May →
dust2	13–11	0.07	26%	26 May →
dust2	9–13	-0.03	17%	16 May →
ancient	9–13	-0.02	15%	14 May →
mirage	15–15	0.05	23%	12 May →
dust2	7–13	-0.08	32%	30 Apr →
cache	12–12	0.03	17%	29 Apr →
inferno	8–13	-0.06	22%	28 Apr →
dust2	4–13	-0.04	35%	26 Apr →
inferno	9–13	-0.02	22%	21 Apr →
dust2	10–13	-0.01	24%	20 Apr →
dust2	13–9	0.06	20%	14 Apr →
office	13–7	0.16	13%	18 Mar →
overpass	13–11	0.05	9%	17 Mar →
mirage	5–13	-0.05	10%	14 Mar →
dust2	10–13	0.00	14%	11 Mar →
ancient	13–10	0.04	19%	4 Mar →
dust2	13–3	0.04	15%	4 Mar →
dust2	8–13	-0.13	9%	20 Feb →
nuke	10–13	-0.00	12%	13 Feb →
dust2	13–7	-0.03	12%	11 Feb →
overpass	6–13	-0.04	9%	11 Feb →
mirage	5–13	-0.04	15%	10 Feb →
mirage	13–11	0.01	14%	7 Feb →
overpass	13–11	0.06	18%	6 Feb →
anubis	13–11	-0.02	11%	5 Feb →
anubis	11–13	-0.00	17%	4 Feb →
dust2	4–13	-0.07	29%	4 Feb →
nuke	2–13	0.10	18%	3 Feb →
dust2	9–13	0.09	13%	3 Feb →
mirage	13–6	-0.01	16%	2 Feb →
dust2	13–10	0.00	18%	28 Jan →
nuke	13–10	-0.01	27%	26 Jan →
overpass	13–3	0.07	15%	23 Jan →
dust2	7–13	0.01	20%	23 Jan →
nuke	3–13	-0.09	9%	23 Jan →
anubis	13–4	0.07	21%	23 Jan →
ancient	4–13	0.01	7%	20 Jan →
inferno	13–7	-0.02	15%	19 Jan →
dust2	14–16	-0.02	18%	12 Jan →
anubis	14–16	0.03	16%	12 Jan →
anubis	13–11	-0.02	22%	12 Jan →
ancient	16–13	-0.01	26%	8 Jan →
inferno	13–9	0.03	14%	5 Jan →
overpass	15–15	-0.04	15%	5 Jan →
mirage	13–7	0.05	23%	31 Dec →
train	16–12	-0.04	10%	30 Dec →
overpass	7–13	-0.03	13%	30 Dec →
mirage	13–11	0.03	18%	29 Dec →
dust2	9–13	-0.08	15%	29 Dec →
mirage	8–13	-0.08	18%	29 Dec →
mirage	16–12	-0.03	19%	28 Dec →
nuke	13–5	0.13	20%	28 Dec →
ancient	13–7	0.02	15%	24 Dec →
dust2	13–11	0.11	15%	10 Dec →
ancient	7–13	-0.04	7%	3 Dec →
ancient	13–6	-0.03	27%	29 Nov →
overpass	13–16	0.04	14%	29 Nov →
dust2	12–16	-0.04	14%	25 Nov →
ancient	13–11	-0.01	9%	25 Nov →
overpass	14–16	0.02	12%	25 Nov →
ancient	13–3	0.01	11%	24 Nov →
dust2	13–4	-0.01	22%	19 Nov →
mirage	13–8	0.04	15%	19 Nov →
train	5–13	-0.05	12%	16 Nov →
dust2	13–4	0.04	15%	16 Nov →
mirage	13–6	-0.05	12%	16 Nov →
nuke	9–13	-0.01	12%	15 Nov →