--- — CS2 Stats

76561198031181006[U:1:70915278]Steam profile ↗✓ No bans

1,637Tracked matches53%Win rate2020Tracked since

CSDB Rating5.4 DevelopingSupport

Premier CS Rating20,794Top 50% of 211,494 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)

CSDB Leaderboard#72024 of 258465 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (7 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.

Rating over time

Premier CS Rating: 20,794 +4,204 13 Sept – 22 Oct · 27 days played

21,822Peak Premier in tracked matches

27Days played since 2026-09-13

Premier CS Rating

240 below peak (21,034)
+1,652 over 30 days · improving
Next: Red band at 25,000 — 4,206 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-13
Blue band first seen 2026-09-13

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

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Performance scores

Aim50

Positioning54

Utility65

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWLWWLWLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −38ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating -0.00
Avg headshot accuracy 10%
Avg reaction 536ms

Last 10

7–3 · 70% win rate
Avg rating 0.01
Avg headshot accuracy 11%
Avg reaction 539ms

Last 20

12–8 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 11%
Avg reaction 557ms

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 (+2.8 against its own average).

Aim5.0

Utility6.5

Positioning5.4

Opening Duels2.9

Clutch0.0

Strong 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.

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 Twistzz 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 551ms 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

Aim5.0

Positioning5.4

Utility6.5

Mechanics4.5

Opening Duels4.1

Win Impact6.1

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time546ms−66ms

first ⅓ avg 612ms → last ⅓ avg 546ms

Headshot accuracy10.8%−1.9%

first ⅓ avg 12.8% → last ⅓ avg 10.8%

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 · inferno, 2 Oct →

32%Best headshot accuracy · 1–13 · nuke, 1 Oct →

359msFastest reaction time · 13–8 · inferno, 11 Oct →

13–0Biggest win · ancient, 18 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W2Current streak

12–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 67% over 12dust2Weakest map · 30% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	14–9	61%	0.03
dust2	D	20	6–14	30%	-0.01
mirage	B	14	7–7	50%	0.01
cache	B	13	7–6	54%	-0.01
nuke	S	12	8–4	67%	0.01
anubis	C	10	4–6	40%	0.01
ancient	A	7	4–3	57%	0.00
rush_001	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

52Matches

54%Win rate

1.01Avg K/D

65.3ADR

34%Headshot %

Clutches & streaks

12%1v1 clutch win

27%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	67%	1.23	17.0
Mirage	3	33%	0.78	10.7
Ancient	3	0%	0.63	10.3
Nuke	2	50%	0.74	9.5
Vertigo	1	0%	0.88	14.0
Dust2	1	100%	3.80	19.0

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.

10.8%Headshot accuracy

34.8%Accuracy (enemy spotted)

37.6%Spray accuracy

70.3%Counter-strafing

11.9°Preaim

551msReaction time

42.6%T opening success

50.1%CT opening success

0.54Enemies flashed / flash

5.7%Flash assists

13.07HE damage / grenade

10.95Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.7871% — below the 15% mark we flag
Aim Training →

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.

30% win rate across 20 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
nuke	13–11	-0.01	13%	22 Oct →
inferno	13–1	0.04	10%	22 Oct →
dust2	10–13	-0.05	11%	21 Oct →
nuke	13–10	0.01	13%	19 Oct →
inferno	13–11	0.01	5%	19 Oct →
mirage	10–13	0.03	11%	19 Oct →
inferno	13–5	0.04	8%	19 Oct →
dust2	9–13	-0.03	13%	19 Oct →
mirage	13–8	0.03	13%	18 Oct →
ancient	13–0	0.06	9%	18 Oct →
cache	5–13	-0.05	7%	18 Oct →
dust2	13–10	0.05	13%	18 Oct →
anubis	13–6	0.01	16%	18 Oct →
dust2	13–7	0.07	13%	18 Oct →
anubis	5–13	0.01	17%	18 Oct →
inferno	14–16	0.04	12%	18 Oct →
inferno	7–13	0.02	12%	17 Oct →
inferno	13–6	0.05	19%	16 Oct →
cache	4–13	-0.05	8%	16 Oct →
ancient	16–14	0.03	6%	15 Oct →
anubis	10–13	-0.04	2%	15 Oct →
inferno	13–10	0.02	15%	15 Oct →
mirage	16–14	-0.00	5%	15 Oct →
inferno	3–13	-0.01	10%	15 Oct →
anubis	4–13	-0.05	13%	15 Oct →
cache	11–13	-0.06	17%	15 Oct →
anubis	11–13	0.06	12%	15 Oct →
ancient	16–12	-0.02	13%	14 Oct →
dust2	13–9	-0.04	8%	14 Oct →
dust2	11–13	-0.04	6%	14 Oct →
dust2	6–13	-0.08	11%	13 Oct →
anubis	4–13	0.03	9%	13 Oct →
ancient	13–16	-0.06	11%	13 Oct →
nuke	11–13	0.01	14%	13 Oct →
inferno	5–2	-0.00	14%	13 Oct →
dust2	13–5	0.06	5%	13 Oct →
mirage	13–6	-0.01	13%	13 Oct →
mirage	7–13	-0.02	14%	13 Oct →
cache	13–11	-0.03	15%	13 Oct →
inferno	11–2	0.02	16%	13 Oct →
nuke	5–13	-0.11	9%	12 Oct →
dust2	10–13	0.04	21%	12 Oct →
cache	9–13	-0.05	17%	12 Oct →
inferno	13–8	0.10	22%	11 Oct →
dust2	5–13	-0.02	12%	11 Oct →
nuke	16–14	-0.01	12%	10 Oct →
dust2	13–9	-0.06	15%	10 Oct →
cache	13–10	-0.01	18%	10 Oct →
cache	13–10	-0.02	10%	10 Oct →
inferno	10–13	-0.01	5%	10 Oct →
nuke	13–9	-0.01	10%	9 Oct →
inferno	15–15	-0.03	8%	9 Oct →
cache	13–8	0.01	8%	9 Oct →
mirage	16–14	-0.01	10%	9 Oct →
inferno	13–11	0.03	10%	9 Oct →
inferno	13–6	-0.01	20%	8 Oct →
inferno	13–10	0.07	11%	8 Oct →
mirage	13–8	-0.05	11%	8 Oct →
nuke	13–9	0.08	17%	7 Oct →
nuke	13–6	0.02	17%	7 Oct →
mirage	13–6	0.08	25%	7 Oct →
inferno	14–16	0.02	11%	7 Oct →
cache	13–6	0.05	16%	7 Oct →
anubis	13–8	0.04	10%	7 Oct →
dust2	5–13	-0.04	20%	6 Oct →
inferno	6–13	-0.04	12%	6 Oct →
mirage	6–13	0.01	15%	6 Oct →
dust2	13–11	0.04	10%	6 Oct →
inferno	13–8	0.07	20%	5 Oct →
mirage	5–13	-0.01	11%	5 Oct →
dust2	11–13	-0.01	16%	4 Oct →
dust2	13–16	0.04	12%	3 Oct →
nuke	13–11	0.02	8%	3 Oct →
mirage	11–13	0.07	9%	2 Oct →
dust2	5–13	-0.02	11%	2 Oct →
inferno	13–5	0.17	19%	2 Oct →
ancient	16–13	0.07	12%	2 Oct →
inferno	13–10	0.03	19%	2 Oct →
ancient	10–13	0.02	13%	2 Oct →
rush_001	8–7	-0.08	0%	2 Oct →
nuke	1–13	0.03	32%	1 Oct →
dust2	4–13	-0.07	6%	1 Oct →
mirage	5–13	0.08	24%	1 Oct →
anubis	13–10	-0.01	12%	30 Sept →
mirage	13–11	-0.05	6%	30 Sept →
cache	8–13	-0.03	11%	30 Sept →
ancient	11–13	-0.08	7%	29 Sept →
anubis	9–13	0.03	11%	29 Sept →
cache	8–13	-0.03	15%	29 Sept →
nuke	10–13	0.05	14%	29 Sept →
inferno	9–13	0.15	7%	29 Sept →
dust2	2–13	0.01	10%	29 Sept →
cache	13–9	-0.01	10%	29 Sept →
inferno	5–13	-0.03	21%	28 Sept →
anubis	13–10	-0.02	23%	27 Sept →
cache	13–7	0.14	13%	27 Sept →
mirage	11–13	-0.06	8%	26 Sept →
nuke	13–8	0.02	13%	26 Sept →
dust2	11–13	-0.04	10%	26 Sept →
dust2	7–13	-0.02	11%	25 Sept →