Chudlock — CS2 Stats

76561198166541299[U:1:206275571]Steam profile ↗✓ No bans

1,173Tracked matches48%Win rate2021Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating18,498Purple band · top ~14.5% of ranked players (population est.)

CSDB Leaderboard#15501 of 31787 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning52

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLWLLLWTLWW

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

Player DNA

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

Aim6.3

Aggression4.8

Utility4.3

Positioning5.2

Opening Duels1.5

Clutch2.4

Strong CT-side openerLimited 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 NiKo 87% playstyle similarity

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

Where you differ: lower utility contribution; 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 19% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.3

Positioning5.2

Utility4.3

Mechanics4.8

Opening Duels2.9

Win Impact4.4

Composite 5.0/10 (Developing), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time579ms−12ms

first ⅓ avg 591ms → last ⅓ avg 579ms

Headshot accuracy19.5%−1.8%

first ⅓ avg 21.3% → last ⅓ avg 19.5%

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

0.17Best rating — dust2 4–2

13–1Biggest win — ancient

7Longest win streak

7–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 58% over 19infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	15–14	52%	-0.00
nuke	B	21	11–10	52%	0.02
ancient	A	19	11–8	58%	0.02
cache	C	14	6–8	43%	-0.01
inferno	D	11	3–8	27%	-0.02
train	—	2	1–1	50%	-0.02
vertigo	—	2	0–2	0%	-0.02
mirage	—	1	0–1	0%	-0.01
overpass	—	1	0–1	0%	-0.05

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.

Faceit stats

Combat

44Matches

52%Win rate

0.99Avg K/D

83.8ADR

47%Headshot %

Clutches & streaks

32%1v1 clutch win

21%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	10	60%	0.98	16.1
Mirage	6	83%	1.21	14.7
Vertigo	5	40%	0.81	14.2
Ancient	5	40%	0.98	16.0
Inferno	4	50%	1.00	13.3
Nuke	4	25%	0.94	16.0
Anubis	4	0%	0.66	10.3
Cache	4	75%	1.19	17.0

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.

19.1%Headshot accuracy

32.8%Accuracy (enemy spotted)

34.0%Spray accuracy

71.6%Counter-strafing

10.0°Preaim

552msReaction time

19.5%T opening success

52.8%CT opening success

0.38Enemies flashed / flash

9.7%Flash assists

10.29HE damage / grenade

4.55Flashes / 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 0.3754 — 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 19.4577% — 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
dust2	6–13	-0.06	15%	28 Aug →
inferno	13–9	0.00	23%	25 Aug →
nuke	12–16	0.03	35%	25 Aug →
nuke	11–13	-0.03	12%	24 Aug →
dust2	11–13	-0.02	29%	24 Aug →
inferno	13–8	-0.03	12%	24 Aug →
inferno	15–15	0.01	13%	23 Aug →
dust2	10–13	-0.02	14%	23 Aug →
ancient	13–9	0.00	13%	23 Aug →
dust2	13–3	0.04	25%	23 Aug →
dust2	4–13	-0.06	13%	22 Aug →
inferno	14–16	-0.03	17%	22 Aug →
nuke	16–13	0.04	20%	19 Aug →
ancient	13–8	0.04	25%	19 Aug →
inferno	5–13	-0.08	23%	19 Aug →
cache	7–13	0.00	17%	13 Aug →
cache	7–13	-0.03	14%	13 Aug →
nuke	13–10	-0.02	16%	13 Aug →
inferno	2–13	-0.08	19%	31 Jul →
cache	13–8	-0.01	19%	29 Jul →
ancient	13–6	0.08	19%	29 Jul →
dust2	13–7	0.06	42%	28 Jul →
cache	5–13	-0.03	12%	27 Jul →
ancient	13–1	-0.03	12%	27 Jul →
dust2	4–2	0.17	9%	27 Jul →
train	9–13	0.02	11%	26 Jul →
cache	7–13	-0.10	18%	26 Jul →
dust2	13–4	0.01	23%	26 Jul →
dust2	13–3	-0.05	22%	24 Jul →
nuke	10–13	-0.02	21%	24 Jul →
cache	13–8	0.09	31%	24 Jul →
vertigo	4–13	-0.04	13%	24 Jul →
nuke	9–13	0.07	38%	23 Jul →
train	13–6	-0.05	36%	23 Jul →
ancient	9–13	0.03	14%	22 Jul →
mirage	10–13	-0.01	21%	21 Jul →
ancient	13–7	0.07	22%	21 Jul →
dust2	7–3	-0.05	26%	20 Jul →
dust2	4–13	-0.06	21%	17 Jul →
dust2	7–13	0.00	12%	17 Jul →
nuke	13–11	-0.01	19%	17 Jul →
cache	9–13	0.03	23%	16 Jul →
dust2	8–13	-0.01	22%	16 Jul →
nuke	13–2	0.06	14%	16 Jul →
nuke	13–10	0.05	17%	15 Jul →
ancient	8–13	0.04	22%	15 Jul →
nuke	13–16	0.02	14%	15 Jul →
ancient	6–13	-0.00	29%	15 Jul →
nuke	13–4	0.03	27%	14 Jul →
cache	13–8	-0.05	18%	13 Jul →
dust2	2–13	-0.09	17%	13 Jul →
dust2	16–13	-0.02	16%	12 Jul →
inferno	13–7	0.02	25%	12 Jul →
dust2	14–16	0.00	10%	11 Jul →
nuke	16–14	-0.02	17%	11 Jul →
dust2	13–6	0.00	29%	11 Jul →
ancient	13–5	0.07	17%	11 Jul →
nuke	8–13	-0.04	15%	11 Jul →
ancient	11–13	0.00	14%	10 Jul →
cache	13–8	0.06	23%	10 Jul →
nuke	3–13	-0.03	15%	10 Jul →
ancient	16–13	-0.02	15%	10 Jul →
cache	8–13	-0.05	14%	10 Jul →
nuke	12–16	0.06	30%	9 Jul →
cache	13–11	0.05	31%	9 Jul →
cache	11–13	0.00	25%	9 Jul →
vertigo	8–13	0.01	26%	8 Jul →
dust2	13–6	0.00	21%	8 Jul →
nuke	13–1	0.09	32%	8 Jul →
dust2	13–3	0.04	23%	8 Jul →
cache	13–7	0.05	36%	8 Jul →
dust2	13–1	0.16	44%	8 Jul →
dust2	13–11	-0.07	12%	1 Jul →
nuke	13–9	0.00	26%	1 Jul →
inferno	11–13	-0.04	20%	1 Jul →
inferno	9–13	-0.02	23%	1 Jul →
ancient	13–7	0.04	18%	1 Jul →
ancient	9–13	-0.02	16%	30 Jun →
ancient	13–11	0.07	19%	30 Jun →
dust2	3–13	-0.03	21%	29 Jun →
nuke	13–6	-0.00	25%	29 Jun →
overpass	4–13	-0.05	12%	29 Jun →
ancient	4–13	-0.04	16%	28 Jun →
inferno	7–13	-0.02	18%	28 Jun →
dust2	11–13	0.05	29%	27 Jun →
ancient	13–7	0.02	13%	27 Jun →
dust2	13–3	0.04	19%	27 Jun →
dust2	9–13	-0.02	16%	27 Jun →
cache	0–4	-0.09	20%	27 Jun →
nuke	7–13	0.02	35%	26 Jun →
dust2	6–13	-0.01	20%	14 Jun →
ancient	11–13	-0.04	12%	14 Jun →
ancient	13–8	0.06	25%	10 Jun →
dust2	13–9	-0.05	8%	10 Jun →
nuke	0–5	0.03	13%	10 Jun →
inferno	13–16	0.02	12%	9 Jun →
dust2	13–11	0.03	20%	4 Jun →
ancient	4–13	-0.00	28%	4 Jun →
dust2	8–13	-0.06	30%	23 May →
nuke	13–10	0.07	23%	23 May →