CHADILEUKA — CS2 Stats

TR76561198168740816[U:1:208475088]Steam profile ↗✓ No bans

2,903Tracked matches38%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

FaceitLevel 8 · 2,076 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning55

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLTLWWLWWLL

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

Player DNA

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

Aim7.4

Aggression6.0

Utility4.9

Positioning5.5

Opening Duels1.8

Clutch3.6

Strong CT-side openerEffective flashes

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 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms 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

Aim7.4

Positioning5.5

Utility4.9

Mechanics8.3

Opening Duels2.3

Win Impact1.0

Composite 5.6/10 (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 -0.00 → last ⅓ avg -0.02

Reaction time642ms+5ms

first ⅓ avg 637ms → last ⅓ avg 642ms

Headshot accuracy20.3%+1.0%

first ⅓ avg 19.4% → last ⅓ avg 20.3%

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

0.18Best rating — ancient 13–1

13–1Biggest win — dust2

6Longest win streak

15–8In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 67% over 6anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	12–10	55%	-0.00
mirage	B	20	10–10	50%	-0.01
ancient	B	14	7–7	50%	0.01
inferno	D	13	4–9	31%	-0.01
train	B	8	4–4	50%	-0.01
overpass	D	8	2–6	25%	-0.01
dust2	S	6	4–2	67%	0.01
anubis	D	6	1–5	17%	-0.02
vertigo	—	2	1–1	50%	-0.01
cache	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,955Matches

50%Win rate

0.96Avg K/D

79.3ADR

41%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

15Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	372	52%	1.06	16.7
Nuke	191	55%	1.07	17.0
Ancient	149	48%	0.97	15.4
Inferno	130	38%	0.90	14.6
Anubis	116	41%	0.90	14.6
Overpass	57	60%	1.02	15.8
Dust2	49	35%	0.98	15.1
Train	35	51%	0.93	14.6

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.

19.9%Headshot accuracy

38.1%Accuracy (enemy spotted)

37.3%Spray accuracy

87.2%Counter-strafing

11.1°Preaim

639msReaction time

26.4%T opening success

48.0%CT opening success

0.72Enemies flashed / flash

6.3%Flash assists

7.36HE damage / grenade

6.53Flashes / 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 26.3912% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.01	25%	26 Aug →
cache	12–12	-0.05	22%	8 Jul →
nuke	11–13	-0.05	21%	22 May →
dust2	13–10	-0.03	24%	22 May →
nuke	16–14	0.02	22%	5 May →
anubis	8–13	-0.02	12%	5 May →
dust2	13–11	0.04	11%	4 May →
mirage	13–11	-0.08	13%	29 Apr →
nuke	5–13	-0.01	15%	10 Mar →
mirage	4–13	-0.03	37%	10 Mar →
nuke	13–11	-0.00	11%	4 Jan →
train	3–13	-0.05	24%	4 Jan →
train	3–13	-0.03	23%	3 Jan →
inferno	13–8	0.05	23%	3 Jan →
mirage	8–13	-0.08	26%	1 Jan →
mirage	11–13	-0.02	14%	28 Dec →
train	13–9	-0.02	11%	28 Dec →
train	13–16	-0.01	24%	25 Dec →
overpass	12–16	0.01	19%	19 Dec →
inferno	13–16	-0.01	23%	19 Dec →
overpass	13–5	0.01	18%	18 Dec →
overpass	6–13	-0.03	21%	16 Dec →
nuke	8–13	-0.00	19%	16 Dec →
train	13–11	0.02	15%	15 Dec →
ancient	7–13	-0.02	20%	5 Dec →
overpass	5–13	-0.06	10%	25 Nov →
mirage	13–9	0.06	22%	25 Nov →
mirage	11–13	-0.04	28%	24 Nov →
nuke	13–9	-0.01	19%	19 Nov →
inferno	3–13	-0.10	29%	19 Nov →
ancient	8–13	0.01	33%	19 Nov →
overpass	1–13	-0.01	29%	18 Nov →
ancient	7–13	-0.06	10%	18 Nov →
dust2	13–8	0.04	31%	18 Nov →
nuke	13–11	0.02	29%	16 Nov →
overpass	10–13	-0.01	16%	14 Nov →
train	16–12	-0.01	23%	14 Nov →
nuke	15–15	-0.05	28%	14 Nov →
inferno	8–13	0.04	28%	12 Nov →
overpass	16–13	0.02	26%	10 Nov →
overpass	9–13	-0.03	37%	9 Nov →
mirage	16–12	0.02	23%	7 Nov →
dust2	13–1	0.05	22%	6 Nov →
nuke	2–13	-0.02	33%	6 Nov →
inferno	13–8	0.05	29%	6 Nov →
ancient	11–13	-0.07	17%	6 Nov →
inferno	10–6	-0.01	28%	5 Nov →
nuke	14–16	0.03	13%	5 Nov →
nuke	13–11	0.02	7%	4 Nov →
mirage	4–13	-0.09	18%	4 Nov →
mirage	13–10	0.03	18%	3 Nov →
ancient	14–16	0.02	11%	26 Oct →
mirage	13–8	0.02	33%	6 Oct →
inferno	7–13	-0.01	12%	25 Apr →
inferno	12–16	0.00	10%	21 Apr →
nuke	16–14	0.01	26%	4 Apr →
dust2	5–13	-0.04	35%	4 Apr →
anubis	13–11	0.03	21%	3 Apr →
ancient	13–1	0.18	15%	13 Jan →
ancient	16–14	0.00	23%	12 Jan →
nuke	7–13	-0.00	17%	5 Jan →
mirage	10–13	0.00	44%	5 Jan →
mirage	13–9	0.03	17%	3 Jan →
ancient	13–11	0.07	28%	2 Jan →
inferno	10–13	-0.03	30%	2 Jan →
nuke	13–9	0.04	16%	30 Dec →
inferno	9–13	-0.05	18%	30 Dec →
ancient	22–19	0.01	16%	30 Dec →
ancient	13–9	0.01	16%	27 Dec →
anubis	6–13	-0.07	11%	24 Dec →
nuke	13–11	-0.01	26%	24 Dec →
train	5–13	0.03	34%	23 Dec →
vertigo	9–13	-0.03	13%	21 Dec →
inferno	13–8	-0.06	19%	20 Dec →
nuke	13–5	0.10	17%	19 Dec →
mirage	8–13	0.04	25%	19 Dec →
nuke	13–11	-0.04	12%	19 Dec →
dust2	10–13	0.03	32%	18 Dec →
mirage	11–13	0.02	10%	18 Dec →
nuke	6–13	-0.04	23%	17 Dec →
anubis	9–13	-0.03	21%	14 Dec →
nuke	13–9	0.06	28%	10 Dec →
train	13–9	-0.03	16%	1 Dec →
mirage	9–13	-0.04	18%	30 Nov →
inferno	5–13	-0.07	32%	28 Nov →
nuke	8–13	-0.03	21%	27 Nov →
anubis	13–16	-0.00	17%	10 Nov →
ancient	11–13	-0.03	18%	9 Nov →
vertigo	13–11	0.02	22%	23 Oct →
nuke	8–13	-0.08	23%	22 Oct →
inferno	5–13	0.05	20%	13 Oct →
anubis	9–13	-0.02	16%	30 Sept →
mirage	13–5	0.02	21%	20 Sept →
mirage	13–6	-0.02	20%	16 Sept →
ancient	13–3	0.06	17%	13 Sept →
mirage	13–10	0.04	21%	1 Aug →
ancient	13–6	0.04	15%	1 Aug →
nuke	13–10	-0.00	13%	28 Jul →
ancient	7–13	-0.06	17%	28 Jul →
mirage	13–11	-0.01	11%	25 Jul →