⭕⃤ CHARLi𝞝 — CS2 Stats

TN76561198796133929[U:1:835868201]Steam profile ↗✓ No bans

1,566Tracked matches57%Win rate2020Tracked since

3,453Hours in CS14Hrs last 2 wks

CSDB Rating6.8 SolidSupport

Premier CS Rating13,027Blue band · top ~38.9% of ranked players (population est.)

CSDB Leaderboard#146267 of 227820 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−442Premier CS Rating · 13,469 → 13,027

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 24 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,027 -5,620 24 May – 19 Sept · 26 days played

19,416Peak Premier in tracked matches

42Days played since 2026-05-24

Premier CS Rating

6,347 below peak (19,374)
-610 over 30 days · declining
-3,897 over 90 days
Next: Purple band at 15,000 — 1,973 to go
Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=11,615), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 6 median	Level 7 median	vs Level 7
Headshot rate	39.2%	44.8%	45.7%	6.6% short
Shot accuracy	16.5%	12.4%	12.7%	above
Kill/death ratio	0.92	1.04	1.05	0.13 short
Match win rate	41.9%	45.2%	45.7%	3.8% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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

Aim84

Positioning66

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLWWWWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.7pp headshot accuracy · +9ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 26%
Avg reaction 637ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 28%
Avg reaction 629ms

Last 20

11–9 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 26%
Avg reaction 624ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.4

Utility6.7

Positioning6.6

Opening Duels3.9

Clutch4.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning 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

Reaction time. 654ms 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

Aim8.4

Positioning6.6

Utility6.7

Mechanics7.1

Opening Duels5.3

Win Impact7.2

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time669ms−8ms

first ⅓ avg 677ms → last ⅓ avg 669ms

Headshot accuracy26.1%−0.3%

first ⅓ avg 26.4% → last ⅓ avg 26.1%

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.

Personal bests

0.22Best match rating · 10–13 · dust2, 16 Jul →

57%Best headshot accuracy · 10–13 · dust2, 16 Jul →

477msFastest reaction time · 6–13 · mirage, 28 Jul →

13–0Biggest win · ancient, 28 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L2Current streak

7–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 62% over 26anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	13–17	43%	-0.00
mirage	A	26	16–10	62%	0.01
inferno	B	23	12–11	52%	0.01
nuke	B	6	3–3	50%	-0.01
ancient	B	6	3–3	50%	0.03
anubis	D	6	2–4	33%	-0.01
overpass	—	2	0–2	0%	-0.07
cache	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,858Lifetime kills

0.92K/D

5,088Matches

41.9%Match win rate

39.2%Headshot %

16.5%Shot accuracy · Top 25% of Level 6 players

13,640MVPs

2,421Hours (in match)

3,036Bombs planted

1,528Bombs defused

Most-used weapons

AK-4739,198

AWP18,082

M4A4 / M4A1-S15,550

P2000 / USP-S6,208

Desert Eagle6,078

SSG 084,611

Glock-183,365

Galil AR2,910

FAMAS1,874

P2501,356

Lifetime map wins

16,126inferno

9,228dust2

1,094vertigo

698nuke

454train

27lake

17office

1ar_monastery

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

743Matches

51%Win rate

0.99Avg K/D

79.3ADR

38%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	63	60%	0.99	17.3
Inferno	30	53%	1.15	16.6
Dust2	28	39%	0.88	14.1
Anubis	25	64%	0.96	15.2
Ancient	10	30%	0.71	11.3
Nuke	5	20%	0.71	11.8
Train	2	100%	0.87	15.5
Overpass	2	0%	1.02	17.5

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.

25.1%Headshot accuracy

39.4%Accuracy (enemy spotted)

42.3%Spray accuracy

81.9%Counter-strafing

9.0°Preaim

654msReaction time

46.3%T opening success

56.0%CT opening success

0.73Enemies flashed / flash

8.9%Flash assists

14.17HE damage / grenade

13.67Flashes / match

Recommended for you

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.

33% 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
dust2	6–13	0.00	34%	19 Sept →
inferno	14–16	0.01	21%	18 Sept →
dust2	13–6	0.08	21%	18 Sept →
inferno	13–3	0.02	26%	18 Sept →
dust2	13–10	-0.03	25%	13 Sept →
inferno	13–7	0.04	26%	13 Sept →
inferno	13–11	0.02	27%	13 Sept →
inferno	13–2	0.10	26%	13 Sept →
dust2	7–13	-0.04	18%	11 Sept →
nuke	0–8	0.03	50%	11 Sept →
inferno	8–13	-0.04	47%	11 Sept →
dust2	8–13	-0.02	16%	11 Sept →
nuke	13–8	-0.03	6%	11 Sept →
mirage	3–13	-0.00	18%	11 Sept →
dust2	13–3	0.03	26%	3 Sept →
dust2	5–13	0.09	26%	3 Sept →
ancient	4–13	-0.01	25%	31 Aug →
mirage	13–4	0.07	42%	31 Aug →
mirage	13–5	0.09	20%	31 Aug →
inferno	13–11	-0.04	21%	31 Aug →
inferno	13–7	0.01	25%	30 Aug →
ancient	9–13	0.07	17%	30 Aug →
ancient	0–11	-0.01	36%	29 Aug →
mirage	13–4	-0.00	25%	29 Aug →
mirage	13–4	0.07	22%	29 Aug →
anubis	13–8	0.02	24%	29 Aug →
ancient	13–0	0.11	33%	28 Aug →
cache	13–7	-0.05	25%	28 Aug →
dust2	9–13	0.04	21%	28 Aug →
inferno	2–13	-0.04	31%	28 Aug →
dust2	7–13	-0.08	28%	28 Aug →
dust2	13–4	0.04	37%	28 Aug →
mirage	13–9	-0.03	14%	28 Aug →
dust2	13–9	-0.04	17%	28 Aug →
mirage	13–3	0.08	36%	27 Aug →
mirage	13–5	-0.01	30%	26 Aug →
inferno	13–8	0.02	23%	26 Aug →
anubis	11–13	-0.02	22%	26 Aug →
mirage	19–16	-0.00	27%	21 Aug →
dust2	11–13	-0.07	19%	17 Aug →
inferno	13–4	0.05	50%	17 Aug →
mirage	14–16	-0.02	19%	12 Aug →
inferno	13–10	0.00	29%	11 Aug →
inferno	9–13	-0.05	29%	9 Aug →
dust2	13–3	0.06	46%	9 Aug →
dust2	13–8	0.07	30%	9 Aug →
mirage	13–0	0.12	26%	9 Aug →
mirage	13–11	-0.03	33%	9 Aug →
inferno	11–13	0.19	43%	8 Aug →
inferno	11–13	0.02	27%	7 Aug →
dust2	8–13	-0.03	29%	1 Aug →
nuke	13–11	-0.02	18%	29 Jul →
inferno	2–13	-0.06	46%	29 Jul →
dust2	8–13	-0.01	25%	29 Jul →
mirage	6–13	-0.04	24%	28 Jul →
dust2	11–13	-0.01	19%	28 Jul →
anubis	8–13	-0.06	6%	28 Jul →
mirage	9–13	-0.04	32%	27 Jul →
dust2	13–2	-0.06	38%	26 Jul →
dust2	4–13	-0.06	30%	25 Jul →
ancient	13–4	0.01	26%	25 Jul →
mirage	13–7	0.05	21%	25 Jul →
inferno	13–1	0.07	29%	25 Jul →
nuke	9–13	-0.04	19%	25 Jul →
anubis	8–13	-0.00	27%	25 Jul →
mirage	4–0	-0.06	0%	25 Jul →
dust2	13–10	-0.02	25%	24 Jul →
nuke	9–13	-0.06	32%	19 Jul →
inferno	4–13	-0.03	39%	19 Jul →
inferno	13–7	0.00	19%	17 Jul →
inferno	4–13	-0.05	29%	17 Jul →
inferno	13–11	-0.01	13%	17 Jul →
dust2	15–15	-0.03	13%	16 Jul →
dust2	10–13	0.22	57%	16 Jul →
inferno	1–5	-0.06	50%	13 Jul →
anubis	13–9	-0.01	19%	12 Jul →
dust2	13–11	-0.00	18%	20 Jun →
mirage	3–13	-0.04	19%	20 Jun →
dust2	4–13	0.01	19%	11 Jun →
mirage	10–13	0.07	24%	6 Jun →
dust2	9–13	0.04	28%	5 Jun →
overpass	5–13	-0.08	20%	3 Jun →
mirage	13–5	0.01	23%	3 Jun →
anubis	5–13	0.03	53%	3 Jun →
dust2	13–16	-0.06	21%	2 Jun →
mirage	10–13	0.09	15%	31 May →
mirage	13–8	0.00	26%	31 May →
mirage	13–7	0.02	23%	31 May →
mirage	6–13	-0.08	26%	30 May →
dust2	11–13	0.00	36%	30 May →
mirage	16–14	-0.03	21%	30 May →
dust2	13–5	-0.06	16%	30 May →
ancient	13–9	-0.01	19%	29 May →
nuke	13–3	0.04	18%	29 May →
overpass	8–13	-0.06	32%	29 May →
mirage	1–7	-0.01	29%	29 May →
dust2	13–2	-0.02	43%	28 May →
dust2	13–8	-0.09	13%	26 May →
inferno	12–16	0.02	44%	24 May →
mirage	9–13	-0.02	17%	24 May →