Viqsly

Viqsly — CS2 Stats

AQ76561198750657710[U:1:790391982]Steam profile ↗✓ No bans

204Tracked matches46%Win rate2026Tracked since
300Hours in CS3Hrs last 2 wks
CSDB Rating5.9 SolidOpening Duellist
Premier CS Rating12,104Blue band · top ~43.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 204 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. 30 days played since 14 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: 12,104 +563 23 Aug17 Sept · 10 days played
11,42312,272peak 12,27223 Aug17 Sept
12,309Peak Premier in tracked matches
30Days played since 2026-06-14

Premier CS Rating

  • 168 below peak (12,272)
  • +563 over 30 days · improving
  • Next: Purple band at 15,000 2,896 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

No matches recorded between 10 Sep 2026 and 19 Sep 2026.

Measured 10 Sep 202619 Sep 2026; previous 3 Sep 2026 → 10 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,543), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate53.1%41.9%44.3%above
Shot accuracy0.0%9.6%11.8%11.8% short
Kill/death ratio1.160.981.03above
Match win rate57.9%43.8%45.2%above

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

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

Share this profile

CSDB.GGViqslyPREMIER12,104 · Blue bandcsdb.gg/stats

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Performance scores

Aim86
Positioning69
Utility5

0–100 skill scores via Leetify.

Recent form

STEADY59383Last 10059%Win rateWLLWLWWWTL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −2.7pp headshot accuracy · −30ms 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

  • 23 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 562ms

Last 20

  • 992 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

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: Opening DuellistWinning opening duels is what stands out in this profile (+2.5 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.6
Utility0.5
Positioning6.9
Opening Duels7.4

Sharp aimerLimited utility dependence

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

s1mple

Plays most like s1mple 62% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 64% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim8.6
Positioning6.9
Utility0.5
Mechanics7.9
Opening Duels6.5
Win Impact3.8

Composite 5.9/10 (Solid), 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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time553ms−47ms
first ⅓ avg 600ms → last ⅓ avg 553ms
Headshot accuracy22.7%+3.6%
first ⅓ avg 19.0% → last ⅓ avg 22.7%

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

0.19Best match rating · 13–4 · train, 14 Aug
42%Best headshot accuracy · 6–13 · dust2, 23 Aug
406msFastest reaction time · 11–13 · dust2, 26 Aug
13–0Biggest win · dust2, 29 Aug

Across the last 100 tracked matches.

Highlights

10Longest win streak
710In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 83% over 6mirageWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A42251760%0.03
mirageB189950%0.03
infernoA95456%0.03
nukeA85363%0.03
anubisS64267%-0.00
cacheS65183%0.03
ancientS64267%0.03
train42250%0.07
vertigo1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,735Lifetime kills
1.16K/D · Top 25% of Blue band
399Matches
57.9%Match win rate · Top 5% of Blue band
53.1%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
780MVPs
125Hours (in match)
269Bombs planted
59Bombs defused

Most-used weapons

Lifetime map wins

1,179dust2
318inferno
219nuke
120vertigo
38train
8office

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.

22.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.5%Spray accuracy
85.4%Counter-strafing
7.8°Preaim
551msReaction time
48.1%T opening success
63.8%CT opening success
0.06Enemies flashed / flash
0.0%Flash assists
2.79HE damage / grenade
0.24Flashes / 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. 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 0.0553 — below the 0.5 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
anubis13–50.0418%7 Sept
train10–130.0318%5 Sept
mirage5–130.0023%5 Sept
mirage13–70.0610%5 Sept
dust27–130.0327%4 Sept
cache13–3-0.078%4 Sept
dust213–80.1022%4 Sept
dust213–10.1118%4 Sept
inferno12–120.1526%3 Sept
dust211–130.0530%3 Sept
nuke13–30.0639%3 Sept
mirage12–120.1718%2 Sept
mirage11–13-0.0222%30 Aug
inferno11–13-0.0433%30 Aug
dust213–00.1117%29 Aug
nuke7–13-0.0118%29 Aug
mirage10–13-0.0315%29 Aug
ancient13–110.0320%29 Aug
anubis13–40.1429%29 Aug
dust211–130.0317%28 Aug
mirage13–70.0125%28 Aug
dust24–13-0.076%28 Aug
dust211–130.0024%27 Aug
mirage13–11-0.0031%27 Aug
anubis6–130.0024%27 Aug
dust213–50.0520%26 Aug
dust211–13-0.0636%26 Aug
dust22–13-0.0322%26 Aug
inferno9–130.0834%24 Aug
mirage13–70.0211%23 Aug
dust26–130.0242%23 Aug
dust210–13-0.0620%23 Aug
ancient13–70.0424%23 Aug
mirage13–110.1324%23 Aug
dust28–130.1030%23 Aug
mirage14–16-0.0015%22 Aug
mirage10–10.1031%22 Aug
nuke11–130.0120%22 Aug
dust25–130.0014%21 Aug
nuke13–70.0227%21 Aug
dust213–80.0316%21 Aug
dust213–20.0331%21 Aug
mirage9–13-0.0428%21 Aug
mirage6–130.0420%20 Aug
dust23–13-0.0719%20 Aug
inferno13–80.0523%20 Aug
cache7–130.1321%19 Aug
dust213–110.1023%19 Aug
dust210–130.0129%19 Aug
dust28–130.0439%18 Aug
dust210–130.0226%18 Aug
dust21–13-0.0812%18 Aug
mirage9–13-0.0320%18 Aug
anubis8–13-0.0420%18 Aug
dust213–11-0.0226%16 Aug
dust213–30.0813%15 Aug
dust213–90.0614%15 Aug
cache13–80.0313%15 Aug
inferno13–30.0522%15 Aug
mirage9–20.0615%15 Aug
mirage13–70.0422%15 Aug
nuke5–130.0421%15 Aug
dust213–80.0121%15 Aug
anubis13–2-0.0715%15 Aug
dust213–90.0027%15 Aug
dust213–40.1522%14 Aug
dust213–100.0329%14 Aug
anubis13–11-0.0821%14 Aug
dust211–130.0526%14 Aug
train13–40.1921%14 Aug
dust213–70.0133%13 Aug
train2–13-0.0318%13 Aug
ancient6–13-0.1019%13 Aug
inferno8–13-0.0419%13 Aug
dust213–60.058%8 Aug
dust213–6-0.0421%7 Aug
vertigo10–130.0127%7 Aug
nuke13–70.1027%7 Aug
dust213–9-0.0226%7 Aug
ancient12–120.0718%7 Aug
inferno13–90.0425%7 Aug
dust213–80.0525%7 Aug
dust213–60.0012%3 Aug
inferno13–6-0.0231%2 Aug
dust213–20.0814%2 Aug
nuke13–70.0124%23 Jul
inferno2–00.000%23 Jul
cache13–10.0633%23 Jul
ancient13–100.0317%16 Jul
mirage11–130.0512%16 Jul
dust213–70.0615%11 Jul
mirage13–70.0614%11 Jul
dust213–80.0819%11 Jul
dust213–90.0212%11 Jul
cache13–8-0.0314%10 Jul
cache13–90.0617%10 Jul
train13–90.0819%14 Jun
nuke13–70.0411%14 Jun
ancient13–10.1218%14 Jun
dust213–60.0114%14 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →