CHEOLSSIBAL — CS2 Stats

76561198033342048[U:1:73076320]✓ No bans

1,466Tracked matches53%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim88

Positioning58

Utility64

0–100 skill scores via Leetify.

Recent form

HOT48–51–1Last 10048%Win rateWWWLWLWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression8.0

Utility6.4

Positioning5.8

Opening Duels3.3

Clutch4.2

Sharp aimerStrong 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 b1t 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim8.8

Positioning5.8

Utility6.4

Mechanics6.8

Opening Duels3.3

Win Impact6.1

Composite 6.7/10 (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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time568ms−78ms

first ⅓ avg 646ms → last ⅓ avg 568ms

Headshot accuracy25.3%−0.6%

first ⅓ avg 25.9% → last ⅓ avg 25.3%

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

0.15Best rating — mirage 13–6

13–1Biggest win — dust2

5Longest win streak

W3Current streak

4–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	28	13–15	46%	0.03
dust2	C	14	6–8	43%	-0.01
mirage	B	13	6–7	46%	0.04
anubis	D	11	3–8	27%	0.00
nuke	C	11	4–7	36%	-0.01
inferno	A	10	6–4	60%	0.04
cache	S	8	6–2	75%	0.04
overpass	S	5	4–1	80%	0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

2,758Matches

51%Win rate

1.20Avg K/D

83.1ADR

50%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	173	48%	1.16	16.5
Ancient	109	44%	1.13	16.7
Inferno	97	47%	1.27	17.2
Nuke	90	66%	1.27	16.7
Vertigo	80	62%	1.29	17.5
Mirage	77	45%	1.15	16.7
Anubis	44	41%	1.09	15.4
Cache	42	67%	1.40	19.7

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.

25.3%Headshot accuracy

37.4%Accuracy (enemy spotted)

39.8%Spray accuracy

80.4%Counter-strafing

7.4°Preaim

576msReaction time

34.4%T opening success

51.8%CT opening success

0.52Enemies flashed / flash

7.3%Flash assists

8.42HE damage / grenade

9.36Flashes / 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 34.3721% — 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.

27% win rate across 11 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
cache	13–4	0.04	34%	21 Aug →
ancient	13–9	0.13	30%	12 Jul →
ancient	13–8	0.02	30%	30 Jun →
ancient	9–13	-0.01	34%	23 Jun →
anubis	13–10	0.09	11%	21 Jun →
ancient	3–13	-0.05	34%	21 Jun →
ancient	13–9	0.06	16%	17 Jun →
ancient	13–5	0.12	25%	15 Jun →
overpass	13–3	0.10	34%	14 Jun →
anubis	9–13	-0.07	19%	14 Jun →
ancient	11–13	0.02	30%	14 Jun →
mirage	8–13	0.00	23%	13 Jun →
mirage	13–8	0.03	32%	13 Jun →
ancient	11–13	0.02	16%	10 Jun →
ancient	11–13	0.07	38%	9 Jun →
mirage	4–13	-0.02	18%	1 Jun →
cache	10–13	0.01	14%	1 Jun →
cache	13–11	0.05	13%	30 May →
mirage	13–4	0.06	21%	30 May →
cache	13–11	0.01	23%	29 May →
dust2	14–16	0.04	37%	26 May →
dust2	13–8	0.04	29%	24 May →
cache	11–13	0.06	24%	21 May →
inferno	13–11	0.09	20%	21 May →
cache	13–10	0.10	35%	21 May →
anubis	9–13	0.04	25%	21 May →
ancient	6–13	0.07	24%	21 May →
dust2	13–1	0.05	20%	20 May →
cache	13–10	-0.03	24%	20 May →
ancient	11–13	-0.02	25%	20 May →
inferno	9–13	0.02	27%	20 May →
ancient	13–7	0.10	33%	20 May →
ancient	4–5	-0.04	15%	19 May →
mirage	13–7	0.10	26%	16 May →
ancient	14–16	-0.03	14%	16 May →
mirage	11–13	0.01	21%	13 May →
nuke	9–13	-0.06	19%	10 May →
inferno	13–9	0.03	13%	10 May →
ancient	6–13	0.03	9%	10 May →
mirage	10–13	0.11	33%	10 May →
ancient	13–11	0.12	27%	8 May →
overpass	16–13	0.04	23%	8 May →
ancient	15–15	0.05	17%	8 May →
nuke	1–13	-0.07	7%	8 May →
overpass	13–7	-0.02	23%	2 May →
nuke	11–13	0.03	19%	2 May →
ancient	13–1	0.08	37%	2 May →
ancient	13–3	0.04	23%	2 May →
nuke	13–7	0.04	30%	28 Apr →
cache	16–13	0.06	19%	28 Apr →
ancient	9–13	0.05	16%	28 Apr →
mirage	7–13	-0.02	15%	26 Apr →
nuke	10–13	-0.04	15%	26 Apr →
mirage	13–8	0.03	13%	22 Apr →
mirage	7–13	0.03	24%	22 Apr →
ancient	4–0	0.04	50%	22 Apr →
nuke	13–10	-0.04	29%	21 Apr →
inferno	13–8	0.03	17%	21 Apr →
mirage	13–5	0.03	30%	21 Apr →
nuke	13–10	-0.00	32%	21 Apr →
anubis	7–13	-0.03	24%	21 Apr →
ancient	19–15	0.01	15%	20 Apr →
overpass	3–13	-0.05	41%	20 Apr →
dust2	9–13	-0.06	30%	13 Apr →
ancient	3–13	0.04	46%	10 Apr →
inferno	10–13	0.03	40%	10 Apr →
ancient	13–10	0.01	37%	10 Apr →
ancient	13–4	0.04	40%	10 Apr →
nuke	13–5	-0.01	29%	10 Apr →
dust2	4–13	-0.03	38%	10 Apr →
dust2	7–13	-0.06	15%	2 Apr →
inferno	13–6	0.01	17%	1 Apr →
ancient	13–10	-0.01	12%	31 Mar →
inferno	9–13	0.05	24%	29 Mar →
dust2	13–6	0.05	18%	29 Mar →
nuke	5–13	-0.03	24%	24 Mar →
mirage	13–6	0.15	23%	24 Mar →
dust2	13–10	-0.06	19%	24 Mar →
inferno	13–9	0.01	27%	24 Mar →
inferno	13–3	0.15	37%	24 Mar →
dust2	3–13	-0.03	11%	17 Mar →
inferno	0–13	-0.01	29%	16 Mar →
nuke	13–16	0.02	23%	4 Mar →
ancient	2–13	-0.03	30%	2 Mar →
anubis	13–5	-0.01	48%	1 Mar →
anubis	3–13	-0.04	24%	28 Feb →
nuke	10–13	0.02	31%	27 Feb →
dust2	13–7	-0.04	11%	27 Feb →
anubis	6–13	-0.03	21%	27 Feb →
anubis	13–9	0.05	21%	27 Feb →
dust2	9–13	-0.01	34%	26 Feb →
anubis	13–16	0.07	27%	23 Feb →
anubis	11–13	-0.03	14%	21 Feb →
overpass	13–5	0.09	34%	21 Feb →
dust2	11–13	0.12	36%	20 Feb →
ancient	6–13	-0.00	39%	19 Feb →
mirage	6–13	0.06	57%	19 Feb →
anubis	7–13	-0.03	24%	16 Feb →
dust2	6–13	-0.02	14%	16 Feb →
dust2	5–2	-0.12	0%	16 Feb →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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