ChiCaLu — CS2 Stats

76561198962517396[U:1:1002251668]Steam profile ↗✓ No bans

1,296Tracked matches28%Win rate2023Tracked since

CSDB Rating4.8 DevelopingHybrid Rifler

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning44

Utility38

0–100 skill scores via Leetify.

Recent form

COLD37–60–3Last 10037%Win rateLLLWLWLLWT

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

Player DNA

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

Aim6.4

Aggression7.3

Utility3.8

Positioning4.4

Opening Duels2.8

Clutch3.4

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 b1t 84% 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 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 725ms 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

Aim6.4

Positioning4.4

Utility3.8

Mechanics7.5

Opening Duels2.8

Win Impact0.0

Composite 4.8/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time732ms+25ms

first ⅓ avg 707ms → last ⅓ avg 732ms

Headshot accuracy24.7%+1.0%

first ⅓ avg 23.8% → last ⅓ avg 24.7%

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

0.15Best rating — train 13–5

13–3Biggest win — ancient

4Longest win streak

L3Current streak

7–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 56% over 9dust2Weakest map · 19% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	32	14–18	44%	0.00
dust2	D	21	4–17	19%	-0.00
inferno	D	20	5–15	25%	0.01
nuke	A	9	5–4	56%	0.02
ancient	C	9	4–5	44%	-0.00
anubis	D	6	2–4	33%	0.03
train	—	2	2–0	100%	0.05
overpass	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

628Matches

49%Win rate

1.00Avg K/D

75.8ADR

56%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	184	46%	1.04	15.2
Inferno	134	46%	0.95	14.7
Dust2	86	59%	1.06	14.9
Anubis	81	49%	0.93	14.3
Ancient	59	51%	0.94	14.8
Nuke	37	41%	1.01	15.7
Train	20	65%	1.10	16.1
Vertigo	16	62%	1.04	15.8

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.

24.4%Headshot accuracy

35.2%Accuracy (enemy spotted)

34.2%Spray accuracy

83.6%Counter-strafing

10.8°Preaim

725msReaction time

30.7%T opening success

51.4%CT opening success

0.46Enemies flashed / flash

3.7%Flash assists

5.98HE damage / grenade

2.72Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 724.6438ms — above the 700ms mark we flag
Aim Training →
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 0.4602 — 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 30.7342% — below the 40% mark we flag

Spend your practice time on Dust 2

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

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	-0.02	20%	1 Aug →
mirage	5–13	-0.03	24%	1 Aug →
dust2	8–13	0.04	25%	30 Jul →
dust2	13–10	-0.05	16%	25 Jul →
dust2	11–13	0.13	24%	14 Jul →
mirage	13–7	0.01	19%	9 Jul →
dust2	9–13	-0.04	16%	3 Jul →
dust2	7–13	-0.00	36%	25 Jun →
inferno	13–9	-0.01	18%	21 Jun →
anubis	15–15	0.09	30%	20 Jun →
mirage	4–13	0.02	35%	12 Jun →
mirage	5–13	-0.01	23%	12 Jun →
mirage	13–9	-0.03	21%	9 Jun →
mirage	8–13	0.04	17%	8 Jun →
dust2	8–13	0.00	27%	5 Jun →
mirage	13–11	0.09	23%	27 May →
inferno	13–4	0.10	38%	24 May →
nuke	13–10	0.04	16%	23 May →
inferno	6–13	0.03	24%	23 May →
inferno	10–13	0.09	23%	9 May →
inferno	7–13	0.04	18%	6 May →
mirage	1–9	-0.04	39%	3 May →
mirage	8–13	-0.04	28%	29 Apr →
nuke	13–4	0.02	43%	1 Apr →
ancient	8–13	-0.05	8%	1 Apr →
dust2	11–13	-0.01	27%	28 Mar →
dust2	13–16	0.01	28%	27 Mar →
dust2	8–13	-0.01	23%	21 Mar →
dust2	3–13	0.04	31%	20 Mar →
mirage	8–13	-0.05	29%	20 Mar →
mirage	13–11	0.07	20%	19 Mar →
dust2	7–13	-0.01	22%	18 Mar →
mirage	7–13	-0.04	26%	14 Mar →
dust2	4–13	-0.03	14%	13 Mar →
mirage	13–11	-0.04	21%	13 Mar →
anubis	13–11	0.01	29%	6 Mar →
ancient	9–13	-0.05	11%	5 Mar →
ancient	12–16	-0.03	22%	3 Mar →
mirage	7–13	0.00	16%	3 Mar →
inferno	3–13	-0.00	16%	1 Mar →
mirage	6–13	-0.00	25%	28 Feb →
anubis	7–13	0.08	38%	28 Feb →
mirage	12–16	-0.01	21%	28 Feb →
nuke	15–15	0.04	14%	27 Feb →
dust2	11–13	-0.07	14%	26 Feb →
dust2	13–9	0.06	31%	24 Feb →
dust2	9–13	-0.01	17%	24 Feb →
mirage	7–13	0.04	38%	24 Feb →
inferno	8–13	-0.04	15%	21 Feb →
nuke	13–8	0.08	16%	21 Feb →
mirage	13–7	0.04	21%	18 Feb →
dust2	8–13	-0.02	30%	17 Feb →
ancient	3–13	-0.03	21%	17 Feb →
mirage	13–4	0.00	31%	17 Feb →
nuke	13–11	0.05	27%	17 Feb →
mirage	13–8	0.01	17%	16 Feb →
mirage	13–11	-0.02	22%	15 Feb →
mirage	9–13	-0.02	56%	13 Feb →
ancient	13–3	-0.01	20%	13 Feb →
nuke	3–13	-0.01	33%	2 Oct →
inferno	8–13	-0.01	29%	30 Sept →
nuke	9–13	0.00	18%	30 Sept →
inferno	15–15	0.08	31%	30 Sept →
overpass	13–9	0.04	24%	30 Sept →
dust2	13–16	-0.04	35%	26 Sept →
ancient	9–13	0.07	22%	19 Sept →
inferno	9–13	-0.05	11%	17 Sept →
mirage	11–13	0.00	24%	17 Sept →
dust2	11–13	-0.03	34%	24 Aug →
inferno	3–13	0.01	22%	21 Aug →
mirage	2–13	-0.01	32%	15 Aug →
train	13–5	0.15	28%	15 Aug →
inferno	13–8	-0.04	23%	10 Aug →
inferno	2–13	0.00	18%	9 Aug →
mirage	13–4	0.07	28%	28 Jul →
mirage	13–5	0.04	36%	28 Jul →
mirage	8–13	-0.02	13%	24 Jul →
inferno	9–13	0.05	19%	12 Jul →
dust2	13–6	0.00	20%	11 Jul →
mirage	13–6	-0.00	29%	7 Jul →
inferno	13–7	-0.05	11%	6 Jul →
dust2	8–13	-0.06	33%	2 Jul →
inferno	11–13	-0.03	23%	2 Jul →
anubis	8–13	-0.12	28%	30 Jun →
inferno	7–13	0.01	32%	30 Jun →
dust2	13–9	0.01	38%	30 Jun →
mirage	13–8	0.06	20%	30 Jun →
anubis	13–9	0.05	21%	29 Jun →
train	13–9	-0.05	27%	28 Jun →
nuke	9–13	-0.05	23%	28 Jun →
inferno	8–13	-0.03	11%	28 Jun →
ancient	16–12	0.06	30%	28 Jun →
ancient	13–6	0.01	24%	28 Jun →
mirage	2–13	-0.04	21%	28 Jun →
anubis	10–13	0.06	25%	27 Jun →
mirage	13–6	-0.03	14%	27 Jun →
inferno	13–11	0.03	19%	27 Jun →
ancient	13–8	0.01	18%	27 Jun →
mirage	7–13	-0.05	6%	24 Jun →
nuke	13–7	-0.00	33%	24 Jun →