VorteX ꩜ NickZ-

VorteX ꩜ NickZ- — CS2 Stats

76561199859951725[U:1:1899685997]Steam profile ↗✓ No bans

608Tracked matches33%Win rate2025Tracked since
333Hours in CS
CSDB Rating3.1 LearningSupport
Premier CS Rating3,785Grey band · top ~83.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 608 tracked matches. 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. 46 days played since 12 Jun 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: 3,785 +0 18 Sept19 Sept · 2 observations
3,7853,785peak 3,78518 Sept19 Sept
3,785Peak Premier on CSDB
46Days played since 2026-06-12

Premier CS Rating

  • At peak — 3,785
  • Next: Light Blue band at 5,000 1,215 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,468), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate43.5%38.1%39.9%above
Shot accuracy0.0%3.7%6.9%6.9% short
Kill/death ratio0.920.830.92meets
Match win rate49.8%40.1%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGVorteX ꩜ NickZ-PREMIER3,785 · Grey bandcsdb.gg/stats

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Performance scores

Aim36
Positioning49
Utility60

0–100 skill scores via Leetify.

Recent form

COLD4951Last 10049%Win rateLLLWLLLWLL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +1.2pp headshot accuracy · +13ms reaction

Win rate down 40pp 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

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 599ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • 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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim3.6
Utility6.0
Positioning4.9
Opening Duels2.1

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

NiKo

Plays most like NiKo 63% 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. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning4.9
Utility6.0
Mechanics2.5
Opening Duels1.4
Win Impact0.0

Composite 3.1/10 (Learning), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time575ms−52ms
first ⅓ avg 626ms → last ⅓ avg 575ms
Headshot accuracy15.6%+1.7%
first ⅓ avg 13.9% → last ⅓ avg 15.6%

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

0.10Best match rating · 6–13 · mirage, 5 Aug
50%Best headshot accuracy · 2–6 · dust2, 13 Aug
422msFastest reaction time · 1–8 · dust2, 10 Aug
13–1Biggest win · nuke, 27 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
711In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 63% over 19mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B29131645%-0.03
nukeA24141058%-0.01
ancientA1912763%-0.02
infernoC73443%-0.01
anubisD72529%-0.04
mirageD51420%0.00
cache41325%-0.04
overpass32167%-0.03
train110100%-0.01
vertigo1010%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,619Lifetime kills
0.92K/D · Top 50% of Grey band
627Matches
49.8%Match win rate · Top 5% of Grey band
43.5%Headshot % · Top 25% of Grey band
0.0%Shot accuracy
1,233MVPs
333Hours (in match)
686Bombs planted
185Bombs defused

Most-used weapons

Lifetime map wins

1,677dust2
1,592nuke
514train
445inferno
93vertigo
1ar_shoots
1ar_baggage

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.

15.2%Headshot accuracy
28.5%Accuracy (enemy spotted)
29.3%Spray accuracy
61.3%Counter-strafing
9.9°Preaim
580msReaction time
38.5%T opening success
32.7%CT opening success
0.63Enemies flashed / flash
7.3%Flash assists
8.05HE damage / grenade
11.12Flashes / 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 38.5102% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass11–13-0.0510%3 Sept
ancient11–13-0.0214%31 Aug
inferno11–130.0231%30 Aug
ancient13–100.0310%29 Aug
dust210–13-0.0215%29 Aug
nuke14–16-0.046%28 Aug
dust217–19-0.0116%16 Aug
dust213–80.0511%15 Aug
dust22–6-0.0350%13 Aug
nuke1–9-0.087%11 Aug
ancient9–13-0.0626%11 Aug
mirage11–13-0.0112%10 Aug
dust216–130.0324%10 Aug
dust21–8-0.084%10 Aug
train13–8-0.0127%10 Aug
overpass13–9-0.052%9 Aug
anubis13–11-0.0814%9 Aug
ancient9–130.018%8 Aug
dust213–8-0.0316%8 Aug
nuke13–70.0425%8 Aug
ancient3–11-0.066%7 Aug
dust23–130.0612%7 Aug
dust23–11-0.0014%5 Aug
nuke13–4-0.059%5 Aug
mirage6–130.1016%5 Aug
cache9–13-0.0529%1 Aug
cache13–16-0.0312%30 Jul
nuke13–40.0916%30 Jul
inferno11–13-0.037%28 Jul
dust25–13-0.0016%28 Jul
dust213–8-0.0316%27 Jul
inferno13–110.0117%27 Jul
ancient13–100.0118%26 Jul
dust25–13-0.0813%26 Jul
anubis5–13-0.057%25 Jul
nuke13–30.0524%25 Jul
dust20–8-0.090%25 Jul
nuke13–4-0.037%25 Jul
inferno9–13-0.087%20 Jul
ancient13–9-0.015%20 Jul
inferno13–100.0112%18 Jul
dust213–7-0.0124%18 Jul
ancient13–30.0013%18 Jul
inferno13–80.038%18 Jul
nuke13–110.0420%18 Jul
ancient9–13-0.0922%18 Jul
dust211–13-0.038%17 Jul
ancient13–7-0.018%17 Jul
nuke3–13-0.1123%17 Jul
dust219–170.0111%16 Jul
nuke14–160.0513%16 Jul
overpass13–100.0111%16 Jul
inferno10–13-0.0625%15 Jul
nuke4–13-0.063%15 Jul
dust213–8-0.0318%14 Jul
mirage8–13-0.0410%14 Jul
dust213–110.0117%14 Jul
mirage13–6-0.006%14 Jul
dust29–13-0.0522%13 Jul
nuke7–13-0.0410%13 Jul
nuke6–13-0.044%13 Jul
ancient5–13-0.0316%12 Jul
nuke13–6-0.0219%12 Jul
anubis2–7-0.005%9 Jul
dust213–8-0.0616%9 Jul
ancient25–230.0516%8 Jul
dust213–10-0.0421%8 Jul
dust213–7-0.0321%7 Jul
ancient13–100.0611%7 Jul
nuke4–13-0.0416%6 Jul
cache16–19-0.0511%2 Jul
anubis8–13-0.0411%1 Jul
ancient13–2-0.033%1 Jul
dust29–13-0.0613%30 Jun
nuke16–13-0.0212%30 Jun
anubis2–13-0.068%29 Jun
vertigo7–130.028%29 Jun
anubis11–13-0.038%28 Jun
nuke19–15-0.036%28 Jun
dust212–16-0.0214%28 Jun
nuke13–10.0521%27 Jun
cache13–9-0.038%27 Jun
ancient13–20.0016%27 Jun
anubis13–8-0.0217%27 Jun
dust28–13-0.1115%27 Jun
nuke19–16-0.0015%26 Jun
nuke5–13-0.008%24 Jun
dust23–13-0.0612%24 Jun
ancient7–13-0.0911%21 Jun
mirage17–19-0.0312%19 Jun
nuke13–40.0615%19 Jun
dust24–13-0.1020%18 Jun
ancient13–11-0.049%18 Jun
dust219–16-0.0326%15 Jun
nuke16–13-0.028%15 Jun
ancient13–8-0.0229%13 Jun
nuke13–60.0121%13 Jun
nuke9–130.0327%13 Jun
ancient13–10-0.0117%12 Jun
dust213–9-0.0610%12 Jun

Match data via Leetify.

Recent teammates

Milestones

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