nub — CS2 Stats

76561198049527082[U:1:89261354]Steam profile ↗✓ No bans

361Tracked matches43%Win rate2023Tracked since

CSDB Rating4.3 DevelopingSupport

Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)

CSDB Leaderboard#179139 of 251924 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 10,000 → 10,000

+5Tracked matches · now 361

+1.5ppWin rate · 41.4% → 42.9%

Rating over time

10,000Peak Premier on CSDB

49Days played since 2026-03-18

Premier CS Rating

At peak — 10,000
Next: Purple band at 15,000 — 5,000 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-09-07
Light Blue band first seen 2026-09-07

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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

Aim56

Positioning33

Utility54

0–100 skill scores via Leetify.

Recent form

COLD41–51–8Last 10041%Win rateWWTLLLLLTL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +0.6pp headshot accuracy · −10ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 13%
Avg reaction 511ms

Last 10

2–6–2 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 12%
Avg reaction 588ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 593ms

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 (+2.5 against its own average).

Aim5.6

Utility5.4

Positioning3.3

Opening Duels0.0

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 86% 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. 607ms 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

Aim5.6

Positioning3.3

Utility5.4

Mechanics7.1

Opening Duels0.5

Win Impact2.6

Composite 4.3/10 (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 rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time618ms−24ms

first ⅓ avg 642ms → last ⅓ avg 618ms

Headshot accuracy13.4%+4.6%

first ⅓ avg 8.8% → last ⅓ avg 13.4%

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

0.08Best match rating · 13–5 · dust2, 15 Apr →

60%Best headshot accuracy · 1–13 · dust2, 16 Jul →

453msFastest reaction time · 12–12 · inferno, 23 Sept →

13–1Biggest win · mirage, 24 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

5–3In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 57% over 30infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	39	14–25	36%	-0.03
mirage	A	30	17–13	57%	-0.02
cache	C	20	8–12	40%	-0.03
inferno	D	8	2–6	25%	-0.03
ancient	—	2	0–2	0%	-0.08
nuke	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.8%Headshot accuracy

30.6%Accuracy (enemy spotted)

35.9%Spray accuracy

82.2%Counter-strafing

9.8°Preaim

607msReaction time

21.9%T opening success

33.6%CT opening success

0.53Enemies flashed / flash

5.4%Flash assists

6.64HE damage / grenade

21.01Flashes / 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 12.8441% — below the 15% mark we flag
Aim Training →
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 21.8833% — below the 40% mark we flag

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.

25% win rate across 8 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	13–9	-0.09	20%	1 Oct →
dust2	13–8	0.02	8%	27 Sept →
inferno	12–12	-0.04	11%	23 Sept →
inferno	3–13	-0.04	18%	20 Sept →
dust2	9–13	-0.06	9%	20 Sept →
cache	2–13	-0.01	16%	26 Aug →
dust2	5–13	-0.08	10%	23 Aug →
dust2	7–13	0.05	15%	23 Aug →
inferno	12–12	-0.06	11%	12 Aug →
ancient	0–13	-0.13	4%	12 Aug →
mirage	13–11	0.00	6%	12 Aug →
mirage	13–10	0.00	10%	12 Aug →
mirage	13–9	-0.01	0%	5 Aug →
dust2	13–11	-0.07	10%	1 Aug →
mirage	13–6	0.02	23%	1 Aug →
ancient	6–13	-0.03	10%	1 Aug →
cache	13–3	0.02	17%	29 Jul →
dust2	7–13	-0.01	12%	23 Jul →
mirage	10–13	-0.04	15%	23 Jul →
mirage	8–13	-0.05	13%	23 Jul →
dust2	13–9	-0.08	11%	23 Jul →
dust2	13–3	-0.07	6%	22 Jul →
inferno	9–13	0.02	8%	16 Jul →
mirage	13–11	-0.05	8%	16 Jul →
dust2	1–13	-0.07	60%	16 Jul →
mirage	9–13	-0.06	22%	15 Jul →
cache	4–13	-0.14	0%	15 Jul →
dust2	8–13	-0.04	13%	11 Jul →
dust2	5–13	-0.12	25%	10 Jul →
mirage	13–5	-0.00	7%	10 Jul →
cache	7–13	-0.07	4%	10 Jul →
dust2	13–5	0.03	24%	9 Jul →
cache	11–13	-0.05	13%	8 Jul →
cache	6–13	0.04	16%	2 Jul →
mirage	13–6	0.02	16%	1 Jul →
cache	13–2	0.03	6%	1 Jul →
cache	0–13	-0.02	20%	1 Jul →
mirage	13–8	0.02	4%	25 Jun →
dust2	11–13	-0.02	12%	25 Jun →
mirage	13–6	-0.01	13%	24 Jun →
mirage	13–1	-0.03	6%	24 Jun →
dust2	9–13	-0.05	15%	22 Jun →
mirage	6–13	-0.03	2%	18 Jun →
dust2	8–13	-0.01	16%	18 Jun →
mirage	13–2	-0.04	12%	18 Jun →
dust2	10–13	-0.05	17%	17 Jun →
cache	13–9	-0.03	5%	14 Jun →
dust2	4–13	-0.02	8%	14 Jun →
cache	13–8	-0.01	10%	10 Jun →
mirage	7–3	0.05	12%	10 Jun →
dust2	10–13	-0.05	21%	5 Jun →
cache	8–13	-0.03	8%	5 Jun →
mirage	7–13	0.01	14%	5 Jun →
mirage	13–9	-0.07	0%	4 Jun →
dust2	3–13	-0.09	25%	4 Jun →
cache	13–9	-0.10	9%	29 May →
cache	7–13	-0.04	17%	29 May →
mirage	12–12	-0.09	5%	29 May →
mirage	2–13	-0.01	0%	28 May →
dust2	2–13	-0.08	7%	28 May →
dust2	9–13	0.02	4%	28 May →
dust2	6–3	-0.07	11%	27 May →
mirage	8–13	-0.11	16%	27 May →
mirage	13–6	-0.04	5%	23 May →
cache	13–5	0.01	3%	23 May →
dust2	10–13	-0.07	0%	23 May →
mirage	12–12	-0.04	10%	21 May →
dust2	8–13	0.05	19%	21 May →
mirage	8–13	0.00	9%	19 May →
inferno	4–13	-0.10	0%	19 May →
dust2	13–9	0.05	8%	13 May →
cache	13–7	-0.03	3%	7 May →
dust2	13–7	-0.04	14%	7 May →
cache	2–13	-0.06	10%	6 May →
cache	3–13	-0.03	0%	6 May →
cache	7–13	-0.10	7%	6 May →
dust2	8–13	-0.03	15%	4 May →
cache	9–13	-0.06	3%	4 May →
mirage	2–10	0.02	13%	1 May →
dust2	7–13	-0.01	15%	29 Apr →
cache	13–11	-0.00	4%	29 Apr →
dust2	12–12	-0.03	4%	28 Apr →
nuke	12–12	0.01	13%	28 Apr →
dust2	8–13	-0.02	9%	28 Apr →
inferno	8–13	-0.05	5%	22 Apr →
mirage	13–6	-0.03	13%	22 Apr →
dust2	13–6	0.01	6%	22 Apr →
mirage	13–10	0.01	6%	18 Apr →
dust2	10–13	0.03	11%	18 Apr →
mirage	12–12	0.02	6%	15 Apr →
dust2	13–9	-0.03	11%	15 Apr →
dust2	13–5	0.08	7%	15 Apr →
dust2	8–0	0.02	16%	15 Apr →
mirage	13–2	-0.04	25%	8 Apr →
dust2	13–9	-0.03	11%	8 Apr →
mirage	11–13	-0.06	6%	1 Apr →
inferno	13–3	-0.04	3%	1 Apr →
dust2	12–12	-0.02	2%	1 Apr →
dust2	9–13	-0.07	11%	23 Mar →
inferno	13–11	0.05	7%	18 Mar →