viz

viz — CS2 Stats

CN76561198117436566[U:1:157170838]Steam profile ↗✓ No bans

1,635Tracked matches40%Win rate2021Tracked since
2,603Hours in CS61Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating19,614Top 50% of 211,494 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#90853 of 258662 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−546Premier CS Rating · 20,160 → 19,614

Rating over time

Premier CS Rating: 19,614 +1,570 29 Jun – 29 Oct · 10 days played
18,04420,793peak 20,79329 Jun29 Oct
20,805Peak Premier in tracked matches
30Days played since 2026-05-15

Premier CS Rating

  • 1,179 below peak (20,793)
  • Next: Pink band at 20,000 — 386 to go
  • Reached: Pink band · 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 rate57.2%44.4%46.9%above
Shot accuracy1.6%11.9%13.0%11.4% short
Kill/death ratio1.391.031.08above
Match win rate42.8%45.2%46.7%3.9% short

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

Widest gap: Shot accuracy. 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.GGvizPREMIER19,614 · Purple bandcsdb.gg/stats

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

Aim64
Positioning54
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLWLLWWWLLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −0.0pp headshot accuracy · +58ms reaction

Win rate 0pp 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 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 587ms

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 (+2.6 against its own average).

Aim6.4
Utility6.2
Positioning5.4
Opening Duels2.9
Clutch0.0

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 83% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 586ms 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

Aim6.4
Positioning5.4
Utility6.2
Mechanics5.3
Opening Duels5.1
Win Impact1.7

Composite 5.4/10 (Developing), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time594ms−64ms
first ⅓ avg 659ms → last ⅓ avg 594ms
Headshot accuracy17.5%+0.4%
first ⅓ avg 17.1% → last ⅓ avg 17.5%

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 · 8–1 · dust2, 29 Oct →
37%Best headshot accuracy · 7–13 · cache, 26 Oct →
383msFastest reaction time · 3–13 · anubis, 23 Oct →
13–2Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 6mirageWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%0.00
cacheC208–1240%-0.02
mirageD143–1121%-0.04
nukeA127–558%-0.03
anubisD72–529%-0.01
ancientA74–357%-0.04
trainA74–357%0.02
infernoS64–267%-0.02
rush_001—21–150%-0.03
office—11–0100%-0.03
shelter—10–10%-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,234Lifetime kills
1.39K/D · Top 10% of Purple band
2,751Matches
42.8%Match win rate
57.2%Headshot % · Top 10% of Purple band
1.6%Shot accuracy
4,876MVPs
1,041Hours (in match)
1,916Bombs planted
548Bombs defused

Most-used weapons

AK-4735,980
AWP3,358
MP92,854
MAC-101,853
FAMAS1,084

Lifetime map wins

4,935dust2
4,719train
2,601nuke
1,486inferno
615vertigo
293office
48ar_shoots
30ar_baggage

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

Faceit stats

Combat

7Matches
57%Win rate
0.75Avg K/D
73.4ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.0412.0
Dust2250%0.6912.0
Nuke10%0.459.0
Ancient1100%0.609.0
Inferno1100%0.7710.0

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.

18.0%Headshot accuracy
35.4%Accuracy (enemy spotted)
39.1%Spray accuracy
73.9%Counter-strafing
11.1°Preaim
586msReaction time
66.4%T opening success
34.2%CT opening success
0.69Enemies flashed / flash
9.1%Flash assists
5.74HE damage / grenade
12.56Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.2225% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0028%29 Oct →
dust213–30.0712%29 Oct →
dust23–13-0.0612%29 Oct →
dust29–13-0.0211%29 Oct →
dust28–10.1318%29 Oct →
mirage13–7-0.0622%29 Oct →
nuke13–40.0314%29 Oct →
anubis10–130.0319%29 Oct →
ancient6–130.0115%29 Oct →
mirage2–13-0.0715%29 Oct →
mirage5–13-0.009%28 Oct →
anubis5–13-0.0216%26 Oct →
nuke13–5-0.0512%26 Oct →
dust24–13-0.0413%26 Oct →
cache7–13-0.0237%26 Oct →
nuke13–7-0.0316%26 Oct →
ancient6–13-0.0520%26 Oct →
nuke16–14-0.0221%24 Oct →
cache8–13-0.0314%24 Oct →
ancient13–11-0.0110%24 Oct →
mirage3–13-0.0628%23 Oct →
cache13–9-0.0532%23 Oct →
anubis3–13-0.0521%23 Oct →
nuke13–5-0.0328%23 Oct →
dust213–16-0.0617%23 Oct →
cache13–11-0.0517%23 Oct →
cache7–13-0.0321%22 Oct →
nuke8–13-0.087%22 Oct →
cache13–7-0.0119%22 Oct →
inferno1–130.0012%22 Oct →
cache15–15-0.0920%22 Oct →
inferno9–13-0.045%21 Oct →
mirage8–13-0.0320%21 Oct →
cache13–11-0.0219%20 Oct →
anubis13–30.0411%20 Oct →
ancient13–10-0.0413%20 Oct →
nuke5–13-0.0615%20 Oct →
mirage1–13-0.026%20 Oct →
dust213–8-0.0021%19 Oct →
train13–50.0323%18 Oct →
train7–130.0215%18 Oct →
dust213–100.0513%18 Oct →
dust23–13-0.0118%18 Oct →
train6–20.009%17 Oct →
dust212–120.0519%17 Oct →
office13–3-0.0315%16 Oct →
dust213–20.0720%16 Oct →
train13–5-0.0314%13 Oct →
train4–130.0318%12 Oct →
train4–130.0623%12 Oct →
cache6–13-0.0518%12 Oct →
inferno13–100.0018%11 Oct →
inferno13–90.0319%10 Oct →
inferno13–11-0.0812%10 Oct →
anubis15–15-0.0315%7 Oct →
cache13–50.0221%7 Oct →
anubis13–6-0.0214%7 Oct →
dust213–2-0.0229%30 Sept →
rush_0018–70.0418%29 Sept →
dust29–13-0.0222%29 Sept →
rush_0014–8-0.0936%29 Sept →
dust213–7-0.0312%8 Sept →
inferno13–7-0.0217%8 Sept →
dust210–13-0.0524%8 Sept →
cache8–13-0.0335%18 Aug →
nuke13–11-0.0316%18 Aug →
dust213–3-0.0125%14 Aug →
dust23–9-0.0724%14 Aug →
nuke11–13-0.055%3 Aug →
cache13–11-0.0022%3 Aug →
mirage13–80.0118%3 Aug →
cache15–15-0.0115%3 Aug →
nuke3–13-0.038%3 Aug →
mirage5–13-0.0632%2 Aug →
anubis15–15-0.0416%2 Aug →
mirage15–15-0.0221%2 Aug →
mirage14–16-0.0818%2 Aug →
ancient13–9-0.0716%2 Aug →
dust213–80.0625%2 Aug →
mirage5–13-0.108%2 Aug →
cache9–13-0.0411%1 Aug →
mirage13–40.0423%1 Aug →
dust213–100.0614%1 Aug →
dust212–12-0.0121%1 Aug →
cache13–5-0.0618%1 Aug →
dust23–13-0.0119%1 Aug →
shelter0–8-0.114%10 Jul →
train13–9-0.0020%10 Jul →
nuke7–130.0120%10 Jul →
nuke13–60.0020%29 Jun →
ancient13–5-0.0315%29 Jun →
mirage11–13-0.0512%29 Jun →
cache13–60.0417%28 Jun →
cache9–130.0224%28 Jun →
cache10–13-0.0617%28 Jun →
cache10–130.0120%27 Jun →
dust24–13-0.0218%27 Jun →
cache7–13-0.0219%15 May →
mirage7–13-0.0219%15 May →
ancient9–13-0.068%15 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.