Team | Matrix - Neo

Team | Matrix - Neo — CS2 Stats

SE76561197969938722[U:1:9672994]Steam profile ↗✓ No bans

1,197Tracked matches59%Win rate2021Tracked since
5,644Hours in CS6Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating17,325Purple band · top ~19.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 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: 17,325 +3,575 20 Jul – 15 Oct · 32 days played
13,75017,325peak 17,32520 Jul15 Oct
17,325Peak Premier in tracked matches
37Days played since 2026-07-16

Premier CS Rating

  • At peak — 17,325
  • +2,962 over 30 days · improving
  • +3,575 over 90 days
  • Next: Pink band at 20,000 — 2,675 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 Purple band among CSDB-tracked players (n=37,767), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate37.9%44.3%46.9%9.1% short
Shot accuracy11.0%11.9%13.0%2.0% short
Kill/death ratio1.201.031.08above
Match win rate47.8%45.2%46.7%above

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

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

Share this profile

CSDB.GGTeam | Matrix - NeoPREMIER17,325 · Purple bandcsdb.gg/stats

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Performance scores

Aim86
Positioning57
Utility49

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateWWWLWWWLWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +5.8pp headshot accuracy · +41ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 27%
  • Avg reaction 497ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 532ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 512ms

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 (+1.2 against its own average).

Aim8.6
Utility4.9
Positioning5.7
Opening Duels3.0

Sharp aimerStrong 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

ropz

Plays most like ropz 96% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning5.7
Utility4.9
Mechanics7.0
Opening Duels3.8
Win Impact7.9

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time495ms−27ms
first ⅓ avg 521ms → last ⅓ avg 495ms
Headshot accuracy21.1%+2.1%
first ⅓ avg 19.0% → last ⅓ avg 21.1%

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

0.23Best match rating · 13–4 · dust2, 26 Sept →
41%Best headshot accuracy · 13–6 · dust2, 13 Sept →
344msFastest reaction time · 5–13 · ancient, 29 Sept →
13–1Biggest win · nuke, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
7–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 91% over 11ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.04
infernoB199–1047%0.03
anubisA138–562%0.01
mirageD124–833%-0.00
cacheS1110–191%0.02
nukeC114–736%0.03
ancientD103–730%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,773Lifetime kills
1.20K/D · Top 25% of Purple band
4,448Matches
47.8%Match win rate · Top 50% of Purple band
37.9%Headshot %
11.0%Shot accuracy
11,018MVPs
2,123Hours (in match)
8,124Bombs planted
1,621Bombs defused

Most-used weapons

AK-4718,963
AWP18,729
P2504,188
P902,152
MP91,774

Lifetime map wins

29,594dust2
4,412inferno
4,250nuke
616train
162cbble
131office
98vertigo
24bank

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

Skill profile

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

20.9%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.7%Spray accuracy
81.5%Counter-strafing
9.2°Preaim
503msReaction time
37.1%T opening success
53.3%CT opening success
0.57Enemies flashed / flash
4.7%Flash assists
7.04HE damage / grenade
7.95Flashes / 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.

  1. 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 37.0504% — below the 40% mark we flag

Spend your practice time on Ancient

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 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–40.0637%15 Oct →
cache13–60.1723%15 Oct →
nuke13–10.0726%15 Oct →
inferno13–160.0619%15 Oct →
nuke13–90.0829%15 Oct →
cache13–40.0016%7 Oct →
cache13–80.0423%3 Oct →
inferno10–130.0419%3 Oct →
cache13–90.0213%2 Oct →
nuke3–130.0128%2 Oct →
nuke5–13-0.0216%30 Sept →
ancient13–30.0818%30 Sept →
dust211–13-0.0217%30 Sept →
inferno3–13-0.0217%30 Sept →
dust213–50.0225%30 Sept →
ancient5–130.0318%29 Sept →
nuke9–130.0116%29 Sept →
anubis8–13-0.0118%29 Sept →
anubis13–90.0713%29 Sept →
mirage15–150.0020%29 Sept →
inferno8–00.0425%29 Sept →
anubis13–40.0527%29 Sept →
inferno4–00.050%29 Sept →
anubis11–13-0.0131%27 Sept →
ancient8–130.0818%27 Sept →
mirage16–12-0.0425%26 Sept →
dust213–40.2325%26 Sept →
anubis4–13-0.085%26 Sept →
dust213–30.0411%26 Sept →
nuke13–20.1538%26 Sept →
dust213–60.0624%25 Sept →
inferno13–20.0131%25 Sept →
cache13–50.0227%25 Sept →
inferno3–13-0.0817%25 Sept →
mirage15–15-0.0325%20 Sept →
dust213–110.0114%20 Sept →
cache13–10-0.0411%16 Sept →
dust27–130.0424%16 Sept →
dust213–60.0741%13 Sept →
dust25–130.0113%13 Sept →
mirage11–13-0.018%13 Sept →
ancient9–130.0117%12 Sept →
inferno13–40.1116%11 Sept →
dust28–130.0431%11 Sept →
dust27–13-0.0427%10 Sept →
mirage13–70.0523%9 Sept →
dust211–130.0118%8 Sept →
nuke6–13-0.0118%8 Sept →
anubis13–100.038%8 Sept →
inferno7–13-0.0114%7 Sept →
cache10–130.0117%7 Sept →
ancient13–10-0.0010%6 Sept →
dust216–140.0329%6 Sept →
dust213–70.0527%6 Sept →
mirage8–13-0.0418%5 Sept →
inferno6–13-0.0124%13 Aug →
dust210–130.0122%13 Aug →
anubis13–11-0.0119%12 Aug →
mirage13–60.0521%12 Aug →
dust28–130.0130%12 Aug →
anubis16–13-0.0017%11 Aug →
nuke13–90.0216%11 Aug →
dust211–13-0.0135%9 Aug →
inferno8–8-0.0825%9 Aug →
inferno9–50.2226%9 Aug →
nuke10–13-0.0111%9 Aug →
mirage7–130.0421%8 Aug →
dust213–70.0532%8 Aug →
dust213–80.1126%8 Aug →
anubis7–130.0120%8 Aug →
ancient3–13-0.0614%8 Aug →
anubis12–160.0434%6 Aug →
dust213–90.0116%6 Aug →
anubis13–90.0124%5 Aug →
mirage13–60.0120%4 Aug →
cache13–110.0422%3 Aug →
cache13–110.0013%3 Aug →
inferno13–10.0924%29 Jul →
mirage13–16-0.0412%28 Jul →
ancient13–110.0616%27 Jul →
inferno13–60.0420%27 Jul →
cache13–2-0.036%20 Jul →
inferno14–160.0728%20 Jul →
mirage1–13-0.0121%20 Jul →
dust214–160.0318%20 Jul →
inferno14–16-0.0120%19 Jul →
nuke10–13-0.0315%19 Jul →
dust213–70.0416%18 Jul →
inferno13–90.0419%18 Jul →
dust213–60.1525%18 Jul →
ancient5–130.0815%18 Jul →
inferno8–13-0.0416%18 Jul →
nuke11–130.0313%17 Jul →
cache13–3-0.0431%17 Jul →
dust213–70.1124%17 Jul →
ancient9–130.0613%17 Jul →
anubis13–80.0113%17 Jul →
mirage0–13-0.040%16 Jul →
inferno13–110.0128%16 Jul →
ancient12–120.0111%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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