Chencho — CS2 Stats

US76561198368953457[U:1:408687729]Steam profile ↗✓ No bans

458Tracked matches40%Win rate2023Tracked since

CSDB Rating5.9 SolidHybrid Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72

Positioning52

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLLWWLWWLLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.2

Aggression5.2

Utility6.2

Positioning5.2

Opening Duels1.9

Clutch3.4

Excellent counter-strafingStrong CT-side opener

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 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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 53% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 676ms 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

Aim7.2

Positioning5.2

Utility6.2

Mechanics8.5

Opening Duels2.9

Win Impact1.7

Composite 5.9/10 (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 rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time672ms−0ms

first ⅓ avg 672ms → last ⅓ avg 672ms

Headshot accuracy20.4%−1.9%

first ⅓ avg 22.3% → last ⅓ avg 20.4%

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

0.10Best rating — inferno 13–10

13–1Biggest win — mirage

5Longest win streak

L2Current streak

8–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 70% over 33ancientWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	33	23–10	70%	0.00
inferno	C	16	7–9	44%	-0.03
ancient	C	15	6–9	40%	-0.03
mirage	C	15	6–9	40%	-0.01
anubis	B	14	7–7	50%	-0.02
cache	—	3	0–3	0%	-0.07
overpass	—	3	2–1	67%	-0.02
nuke	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches

45%Win rate

0.88Avg K/D

71.9ADR

49%Headshot %

Clutches & streaks

37%1v1 clutch win

9%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	14	36%	0.90	11.9
Inferno	10	60%	1.13	15.1
Dust2	10	70%	1.16	19.5
Anubis	5	40%	0.85	12.0
Ancient	3	0%	0.36	5.7
Nuke	1	0%	0.43	6.0
Overpass	1	0%	0.95	19.0
Vertigo	1	100%	2.18	24.0

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.

19.5%Headshot accuracy

34.3%Accuracy (enemy spotted)

36.8%Spray accuracy

88.3%Counter-strafing

8.7°Preaim

676msReaction time

21.9%T opening success

52.9%CT opening success

0.53Enemies flashed / flash

5.3%Flash assists

9.06HE damage / grenade

12.67Flashes / 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.

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 21.921% — 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.

40% win rate across 15 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	8–13	0.00	18%	28 Aug →
inferno	7–13	-0.07	14%	27 Aug →
dust2	13–6	-0.04	31%	27 Aug →
ancient	13–8	-0.01	19%	27 Aug →
ancient	7–13	0.05	28%	16 Aug →
mirage	13–6	0.00	24%	9 Aug →
inferno	13–8	0.00	20%	9 Aug →
ancient	2–13	-0.08	4%	8 Aug →
dust2	13–16	-0.02	20%	8 Aug →
anubis	13–10	-0.01	8%	8 Aug →
anubis	3–13	-0.08	11%	8 Aug →
anubis	10–13	0.01	11%	7 Aug →
dust2	10–13	0.07	26%	4 Aug →
anubis	8–13	0.01	15%	2 Aug →
mirage	8–13	-0.02	37%	30 Jul →
mirage	13–1	0.10	26%	29 Jul →
dust2	13–6	0.01	31%	28 Jul →
inferno	11–13	0.01	36%	26 Jul →
inferno	0–13	-0.09	7%	24 Jul →
cache	9–13	-0.10	14%	12 Jul →
cache	5–13	-0.05	26%	9 Jul →
dust2	13–9	-0.00	20%	27 Jun →
ancient	9–13	-0.06	8%	27 Jun →
dust2	13–9	-0.09	23%	26 Jun →
dust2	8–13	0.04	19%	26 Jun →
dust2	13–11	0.03	23%	26 Jun →
dust2	4–13	-0.07	17%	25 Jun →
cache	6–13	-0.06	19%	25 Jun →
anubis	13–7	-0.04	11%	19 Jun →
overpass	13–8	0.05	13%	19 Jun →
ancient	13–11	-0.06	36%	19 Jun →
overpass	13–11	0.02	22%	18 Jun →
dust2	9–3	0.03	35%	18 Jun →
mirage	8–13	-0.07	29%	17 Jun →
ancient	9–13	-0.02	17%	14 Jun →
dust2	16–14	-0.04	18%	13 Jun →
anubis	13–10	-0.01	23%	13 Jun →
mirage	13–8	0.05	34%	13 Jun →
dust2	13–6	0.02	22%	13 Jun →
inferno	9–13	-0.05	24%	12 Jun →
inferno	13–10	-0.00	24%	12 Jun →
anubis	11–13	-0.03	22%	12 Jun →
overpass	0–13	-0.12	13%	11 Jun →
ancient	11–13	-0.05	15%	11 Jun →
inferno	10–13	-0.06	17%	11 Jun →
dust2	13–6	-0.02	19%	11 Jun →
ancient	9–13	-0.05	27%	11 Jun →
ancient	13–3	-0.01	24%	11 Jun →
dust2	13–9	-0.00	21%	10 Jun →
dust2	13–3	0.00	21%	10 Jun →
mirage	7–13	-0.01	17%	8 Jun →
inferno	10–13	-0.06	21%	8 Jun →
mirage	13–4	0.06	22%	4 Jun →
inferno	13–10	0.10	20%	3 Jun →
mirage	8–13	-0.03	26%	30 May →
dust2	13–3	0.04	21%	30 May →
dust2	13–6	0.06	25%	30 May →
ancient	15–15	0.00	17%	30 May →
inferno	13–8	-0.03	14%	30 May →
dust2	13–5	-0.00	19%	30 May →
dust2	13–5	0.05	33%	30 May →
dust2	13–5	-0.04	22%	30 May →
dust2	9–13	0.05	23%	29 May →
ancient	13–11	-0.03	21%	28 May →
ancient	8–13	-0.06	20%	28 May →
dust2	13–10	0.07	24%	27 May →
anubis	13–11	-0.04	14%	27 May →
dust2	15–15	0.00	19%	27 May →
ancient	13–4	-0.03	32%	27 May →
dust2	13–5	0.04	45%	26 May →
ancient	2–13	-0.05	38%	26 May →
nuke	5–13	-0.01	25%	26 May →
inferno	11–13	-0.05	27%	26 May →
mirage	8–13	-0.04	10%	26 May →
dust2	13–10	0.05	26%	25 May →
mirage	9–13	-0.04	32%	25 May →
dust2	11–13	0.01	20%	25 May →
dust2	6–13	-0.02	9%	25 May →
mirage	6–13	-0.05	17%	25 May →
anubis	13–4	-0.03	13%	25 May →
ancient	13–8	0.00	21%	25 May →
inferno	13–7	0.04	14%	25 May →
anubis	13–7	0.00	27%	25 May →
anubis	2–13	-0.02	35%	25 May →
dust2	6–13	-0.02	29%	25 May →
dust2	13–7	0.02	22%	23 May →
anubis	13–11	-0.01	31%	23 May →
mirage	6–13	-0.01	28%	23 May →
inferno	7–13	-0.04	16%	23 May →
dust2	13–9	-0.07	6%	22 May →
mirage	3–13	-0.04	19%	22 May →
inferno	13–7	-0.02	17%	22 May →
inferno	12–16	-0.04	21%	21 May →
mirage	13–9	-0.04	16%	21 May →
anubis	13–16	-0.09	22%	21 May →
dust2	13–3	-0.02	24%	20 May →
dust2	6–13	-0.08	12%	15 May →
inferno	13–7	-0.05	9%	15 May →
mirage	13–8	0.03	35%	14 May →
dust2	13–11	-0.04	23%	14 May →