𝓩𝓘𝓛𝓛𝓔𝓡 — CS2 Stats

76561199087250451[U:1:1126984723]Steam profile ↗1 game ban

652Tracked matches45%Win rate2024Tracked since

413Hours in CS

CSDB Rating5.3 DevelopingPositional Player

Premier CS Rating13,438Blue band · top ~36.7% of ranked players (population est.)

CSDB Leaderboard#142599 of 226437 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

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. 43 days played since 2 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: 13,438 +5,579 2 May – 14 Sept · 37 days played

13,725Peak Premier in tracked matches

43Days played since 2026-05-02

Premier CS Rating

287 below peak (13,725)
-134 over 30 days · steady
+2,283 over 90 days
Next: Purple band at 15,000 — 1,562 to go
Reached: 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 3 among CSDB-tracked players (n=8,862), 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 3 median	Level 4 median	vs Level 4
Headshot rate	43.2%	41.9%	42.7%	meets
Shot accuracy	0.0%	12.2%	11.2%	11.2% short
Kill/death ratio	0.92	0.98	1.00	0.07 short
Match win rate	49.1%	43.3%	43.9%	above

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning64

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLWLWWWTL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +4.2pp headshot accuracy · −49ms reaction

Win rate 0pp 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

2–3 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 18%
Avg reaction 607ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 541ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 565ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim6.1

Utility4.6

Positioning6.4

Opening Duels5.3

Clutch5.0

Effective flashesLimited 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.

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 ZywOo 82% playstyle similarity

Most alike: positioning profile, 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 582ms 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

Aim6.1

Positioning6.4

Utility4.6

Mechanics5.9

Opening Duels5.2

Win Impact3.3

Composite 5.3/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time592ms−28ms

first ⅓ avg 620ms → last ⅓ avg 592ms

Headshot accuracy17.0%+1.6%

first ⅓ avg 15.4% → last ⅓ avg 17.0%

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

0.17Best match rating · 13–5 · nuke, 12 Jun →

33%Best headshot accuracy · 13–10 · mirage, 12 Jun →

375msFastest reaction time · 15–15 · nuke, 8 Jun →

13–2Biggest win · dust2, 12 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak

5–13In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 67% over 12infernoWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	15–10	60%	0.01
mirage	C	21	9–12	43%	-0.02
inferno	D	15	4–11	27%	-0.02
anubis	A	14	8–6	57%	0.01
ancient	S	12	8–4	67%	0.00
nuke	C	10	4–6	40%	0.01
cache	—	2	0–2	0%	-0.03
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,043Lifetime kills

0.92K/D

1,038Matches

49.1%Match win rate · Top 25% of Level 3 players

43.2%Headshot % · Top 50% of Level 3 players

0.0%Shot accuracy

1,991MVPs

413Hours (in match)

1,167Bombs planted

221Bombs defused

Most-used weapons

AK-474,866

M4A4 / M4A1-S3,783

Galil AR1,038

AWP905

P2000 / USP-S835

MP7767

Glock-18560

Desert Eagle508

FAMAS478

Tec-9220

Lifetime map wins

2,614dust2

1,600inferno

635nuke

248vertigo

203train

13office

3italy

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

Faceit stats

Combat

41Matches

49%Win rate

1.03Avg K/D

76.4ADR

41%Headshot %

Clutches & streaks

45%1v1 clutch win

14%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	50%	1.15	13.3
Inferno	10	60%	0.77	12.0
Nuke	5	60%	1.09	16.0
Ancient	5	20%	0.75	11.6
Dust2	5	60%	1.61	23.0
Cache	4	25%	1.02	18.5
Anubis	2	50%	0.79	12.5

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.

16.0%Headshot accuracy

33.7%Accuracy (enemy spotted)

29.7%Spray accuracy

76.5%Counter-strafing

8.7°Preaim

582msReaction time

43.7%T opening success

57.8%CT opening success

0.80Enemies flashed / flash

5.2%Flash assists

7.16HE damage / grenade

4.74Flashes / match

Recommended for you

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 15 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	2–13	-0.01	14%	14 Sept →
mirage	13–10	0.01	10%	14 Sept →
mirage	12–16	-0.07	19%	6 Sept →
inferno	13–3	0.13	32%	20 Aug →
dust2	11–13	0.05	15%	19 Aug →
ancient	13–9	0.01	14%	15 Aug →
anubis	13–9	-0.02	22%	15 Aug →
dust2	16–12	0.08	19%	15 Aug →
nuke	15–15	0.06	22%	10 Aug →
mirage	11–13	0.04	12%	8 Aug →
dust2	13–11	0.09	24%	25 Jul →
inferno	6–13	-0.06	8%	13 Jul →
dust2	13–9	-0.08	16%	13 Jul →
inferno	4–13	-0.03	18%	13 Jul →
dust2	13–10	0.02	28%	13 Jul →
dust2	10–13	-0.02	5%	2 Jul →
nuke	13–6	-0.04	13%	1 Jul →
inferno	16–12	-0.07	13%	25 Jun →
inferno	11–13	0.05	10%	24 Jun →
mirage	10–13	-0.02	3%	22 Jun →
inferno	9–13	0.01	22%	21 Jun →
anubis	11–13	-0.07	11%	19 Jun →
dust2	6–13	-0.03	10%	19 Jun →
anubis	13–10	0.01	13%	18 Jun →
inferno	9–13	0.01	27%	17 Jun →
anubis	13–9	0.08	27%	14 Jun →
mirage	5–13	-0.11	23%	14 Jun →
dust2	9–13	-0.06	13%	14 Jun →
inferno	2–13	-0.08	9%	14 Jun →
dust2	13–7	-0.01	11%	13 Jun →
inferno	12–16	-0.03	16%	13 Jun →
nuke	13–5	0.17	32%	12 Jun →
mirage	13–10	0.01	33%	12 Jun →
dust2	13–4	0.01	15%	12 Jun →
ancient	13–7	0.02	3%	12 Jun →
mirage	13–9	-0.01	16%	12 Jun →
dust2	13–2	0.00	9%	12 Jun →
anubis	9–13	-0.02	4%	12 Jun →
ancient	13–7	0.04	7%	12 Jun →
cache	11–13	0.02	20%	9 Jun →
dust2	11–13	0.07	24%	8 Jun →
cache	4–13	-0.09	16%	8 Jun →
nuke	13–8	-0.03	16%	8 Jun →
nuke	15–15	-0.07	12%	8 Jun →
dust2	7–13	-0.00	14%	8 Jun →
anubis	1–7	0.11	9%	8 Jun →
ancient	2–13	-0.06	17%	8 Jun →
mirage	11–13	0.03	9%	8 Jun →
mirage	13–10	-0.07	18%	5 Jun →
nuke	9–13	-0.04	24%	4 Jun →
mirage	4–13	-0.07	14%	4 Jun →
mirage	11–13	-0.05	16%	2 Jun →
dust2	13–9	-0.01	10%	2 Jun →
anubis	10–13	-0.04	12%	2 Jun →
anubis	10–5	-0.04	12%	1 Jun →
inferno	13–7	-0.07	12%	1 Jun →
inferno	11–13	-0.08	9%	31 May →
ancient	13–8	-0.01	11%	31 May →
anubis	13–11	-0.04	25%	31 May →
ancient	7–13	-0.04	15%	27 May →
mirage	13–9	-0.05	13%	27 May →
anubis	13–4	0.06	8%	27 May →
mirage	13–4	0.05	17%	27 May →
dust2	13–4	0.07	13%	25 May →
inferno	13–8	-0.00	15%	25 May →
anubis	13–3	0.09	17%	22 May →
ancient	13–7	0.05	20%	22 May →
ancient	13–4	-0.06	16%	22 May →
dust2	11–13	-0.02	17%	21 May →
anubis	14–16	0.07	27%	20 May →
ancient	13–10	0.04	14%	20 May →
mirage	10–13	-0.06	17%	20 May →
mirage	13–10	0.04	20%	19 May →
nuke	13–6	0.11	23%	19 May →
nuke	7–13	0.03	23%	19 May →
inferno	13–16	-0.02	13%	19 May →
mirage	5–13	-0.01	27%	19 May →
ancient	15–15	-0.03	19%	18 May →
dust2	13–5	0.03	22%	18 May →
dust2	13–2	-0.01	14%	18 May →
nuke	7–13	-0.04	20%	18 May →
dust2	13–6	0.09	19%	18 May →
overpass	13–10	0.06	21%	18 May →
dust2	8–13	-0.02	20%	17 May →
mirage	13–10	-0.02	12%	15 May →
anubis	7–13	-0.01	9%	15 May →
dust2	13–11	-0.01	14%	15 May →
mirage	11–13	0.01	8%	15 May →
inferno	10–13	-0.04	11%	14 May →
ancient	4–13	-0.02	21%	14 May →
anubis	16–14	-0.02	8%	12 May →
mirage	9–13	-0.03	18%	12 May →
dust2	6–13	-0.01	7%	11 May →
mirage	13–9	0.04	24%	6 May →
mirage	11–13	-0.03	18%	3 May →
ancient	13–6	0.06	6%	3 May →
dust2	13–9	0.07	7%	3 May →
nuke	3–13	-0.08	0%	2 May →
inferno	7–13	-0.05	5%	2 May →
dust2	13–11	0.03	6%	2 May →