uns uns uns — CS2 Stats

FI76561198000231080[U:1:39965352]Steam profile ↗✓ No bans

1,160Tracked matches30%Win rate2020Tracked since

CSDB Rating4.7 DevelopingSupport

Premier CS Rating9,195Light Blue band · top ~58.7% of ranked players (population est.)

CSDB Leaderboard#190258 of 260005 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 9,195 -5,488 3 Sept – 3 Nov · 25 days played

14,999Peak Premier in tracked matches

25Days played since 2026-09-03

Premier CS Rating

5,488 below peak (14,683)
-3,925 over 30 days · declining
Next: Blue band at 10,000 — 805 to go
Reached: Blue band · Light Blue band
Light Blue band first seen 2026-10-30

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

Aim60

Positioning44

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY35–63–2Last 10035%Win rateLLWWLWWLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +11.9pp headshot accuracy · +59ms 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

2–3 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 29%
Avg reaction 800ms

Last 10

4–6 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 27%
Avg reaction 756ms

Last 20

7–13 · 35% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 727ms

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 (+2.3 against its own average).

Aim6.0

Utility6.1

Positioning4.4

Opening Duels0.6

Clutch4.2

Excellent counter-strafing

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 703ms 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

Aim6.0

Positioning4.4

Utility6.1

Mechanics9.6

Opening Duels1.6

Win Impact0.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time699ms+35ms

first ⅓ avg 664ms → last ⅓ avg 699ms

Headshot accuracy22.2%−4.9%

first ⅓ avg 27.0% → last ⅓ avg 22.2%

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

0.13Best match rating · 13–2 · cache, 18 Oct →

55%Best headshot accuracy · 5–13 · inferno, 25 Sept →

500msFastest reaction time · 5–13 · nuke, 22 Oct →

13–1Biggest win · nuke, 17 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

5–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 44% over 16mirageWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	20	6–14	30%	0.01
cache	C	16	7–9	44%	0.01
mirage	D	15	4–11	27%	-0.00
dust2	C	14	5–9	36%	0.01
ancient	D	13	4–9	31%	-0.01
inferno	C	13	5–8	38%	-0.01
anubis	C	9	4–5	44%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,462Matches

50%Win rate

1.12Avg K/D

72.5ADR

47%Headshot %

Clutches & streaks

41%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	7	57%	1.05	15.6
Ancient	7	43%	1.07	13.4
Mirage	6	50%	0.89	14.2
Nuke	6	17%	0.86	13.0
Dust2	5	60%	1.26	15.8
Cache	4	75%	1.20	16.0
Anubis	3	33%	0.97	16.0
Vertigo	1	0%	0.29	5.0

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.

21.4%Headshot accuracy

31.7%Accuracy (enemy spotted)

31.6%Spray accuracy

93.3%Counter-strafing

11.5°Preaim

703msReaction time

33.5%T opening success

39.2%CT opening success

0.50Enemies flashed / flash

5.6%Flash assists

10.41HE damage / grenade

13.04Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 702.7413ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4983 — below the 0.5 mark we flag
Grenade Lineups →
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 33.5269% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.09	16%	3 Nov →
ancient	5–13	-0.07	24%	3 Nov →
dust2	11–4	0.03	23%	3 Nov →
mirage	16–12	-0.05	31%	3 Nov →
mirage	8–13	-0.10	50%	3 Nov →
inferno	13–5	0.07	34%	23 Oct →
mirage	13–5	0.05	24%	23 Oct →
anubis	10–13	-0.04	28%	22 Oct →
nuke	11–13	-0.01	20%	22 Oct →
inferno	7–13	0.02	20%	22 Oct →
mirage	16–12	0.02	19%	22 Oct →
cache	3–13	-0.08	9%	22 Oct →
nuke	5–13	-0.04	10%	22 Oct →
ancient	4–13	-0.08	9%	22 Oct →
inferno	4–13	-0.07	6%	22 Oct →
anubis	10–13	-0.00	22%	22 Oct →
dust2	13–6	0.03	20%	21 Oct →
cache	13–9	0.06	30%	21 Oct →
cache	11–13	-0.01	19%	21 Oct →
ancient	5–13	-0.10	8%	19 Oct →
dust2	10–13	-0.02	14%	19 Oct →
mirage	11–13	-0.02	28%	18 Oct →
cache	13–2	0.13	40%	18 Oct →
dust2	5–13	-0.04	14%	18 Oct →
dust2	10–13	0.05	23%	18 Oct →
ancient	13–4	-0.00	11%	18 Oct →
inferno	5–13	-0.08	10%	18 Oct →
cache	3–13	-0.03	22%	17 Oct →
dust2	6–13	0.04	25%	17 Oct →
dust2	8–13	-0.10	21%	17 Oct →
nuke	13–1	0.04	35%	17 Oct →
anubis	13–4	0.03	41%	17 Oct →
ancient	8–13	-0.01	24%	16 Oct →
ancient	10–13	-0.07	23%	16 Oct →
nuke	8–13	-0.05	35%	16 Oct →
nuke	11–13	-0.00	28%	16 Oct →
nuke	6–13	-0.07	36%	16 Oct →
inferno	9–13	-0.02	30%	15 Oct →
anubis	13–8	-0.03	29%	15 Oct →
inferno	13–7	0.03	29%	7 Oct →
ancient	13–2	0.03	24%	6 Oct →
cache	13–4	0.06	52%	6 Oct →
nuke	10–13	-0.05	31%	6 Oct →
nuke	9–13	-0.00	30%	6 Oct →
nuke	13–10	0.07	27%	6 Oct →
mirage	5–13	-0.04	26%	3 Oct →
dust2	6–13	-0.02	34%	2 Oct →
cache	7–13	-0.07	6%	2 Oct →
inferno	2–13	-0.02	21%	2 Oct →
nuke	13–9	0.04	29%	1 Oct →
cache	8–13	0.06	31%	1 Oct →
cache	7–13	-0.01	21%	1 Oct →
mirage	10–13	0.01	28%	1 Oct →
nuke	13–3	0.02	32%	1 Oct →
mirage	13–16	0.04	25%	1 Oct →
dust2	13–5	0.13	22%	1 Oct →
inferno	16–14	0.00	30%	1 Oct →
anubis	13–11	-0.03	11%	29 Sept →
nuke	15–15	0.03	22%	29 Sept →
ancient	8–13	0.01	19%	27 Sept →
mirage	14–16	0.05	28%	27 Sept →
nuke	13–9	0.10	26%	27 Sept →
cache	13–5	-0.00	28%	27 Sept →
mirage	11–13	0.09	18%	27 Sept →
dust2	10–13	0.00	19%	27 Sept →
mirage	2–13	-0.06	44%	26 Sept →
inferno	4–13	-0.05	46%	26 Sept →
anubis	3–13	-0.09	21%	26 Sept →
anubis	1–13	-0.07	27%	26 Sept →
mirage	7–13	-0.05	37%	25 Sept →
inferno	5–13	-0.02	55%	25 Sept →
cache	11–13	-0.03	10%	24 Sept →
nuke	15–15	0.02	21%	24 Sept →
dust2	13–4	0.04	28%	24 Sept →
nuke	11–13	0.03	27%	24 Sept →
mirage	13–2	0.10	8%	24 Sept →
ancient	13–2	0.09	42%	24 Sept →
cache	13–6	0.12	19%	24 Sept →
dust2	13–11	-0.01	24%	24 Sept →
ancient	7–13	0.07	15%	24 Sept →
nuke	14–16	0.02	27%	23 Sept →
cache	10–13	0.04	18%	23 Sept →
dust2	2–13	-0.01	16%	23 Sept →
ancient	9–13	-0.03	17%	23 Sept →
ancient	13–9	-0.01	35%	22 Sept →
anubis	5–13	0.03	45%	22 Sept →
anubis	16–14	-0.01	38%	20 Sept →
inferno	8–13	-0.03	26%	20 Sept →
dust2	7–13	0.03	33%	20 Sept →
nuke	8–13	-0.04	21%	20 Sept →
inferno	13–8	0.03	27%	20 Sept →
nuke	10–13	0.03	33%	20 Sept →
ancient	5–13	-0.02	40%	20 Sept →
cache	13–11	-0.00	24%	20 Sept →
nuke	13–3	0.05	30%	20 Sept →
cache	9–13	-0.06	25%	19 Sept →
mirage	6–13	-0.01	16%	19 Sept →
inferno	13–8	-0.00	31%	13 Sept →
nuke	2–13	0.04	31%	3 Sept →
cache	13–10	0.02	27%	3 Sept →