Vigis

Vigis — CS2 Stats

FI76561198026311998[U:1:66046270]Steam profile ↗✓ No bans

722Tracked matches55%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating19,384Top 50% of 213,211 CSDB-tracked playersPurple band · top ~10.9% of ranked players (population est.)
CSDB Leaderboard#94546 of 259864 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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: 19,384 -256 19 Mar – 2 Nov · 21 days played
17,49620,100peak 20,10019 Mar2 Nov
20,110Peak Premier in tracked matches
28Days played since 2026-03-19

Premier CS Rating

  • 716 below peak (20,100)
  • Next: Pink band at 20,000 — 616 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.

Share this profile

CSDB.GGVigisPREMIER19,384 · Purple bandcsdb.gg/stats

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Performance scores

Aim70
Positioning53
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLWWLWLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · −12ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 558ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 564ms

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 (+2.6 against its own average).

Aim7.0
Utility3.0
Positioning5.3
Opening Duels2.6
Clutch0.0

Limited 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

jL

Plays most like jL 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 564ms 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

Aim7.0
Positioning5.3
Utility3.0
Mechanics6.4
Opening Duels1.7
Win Impact6.7

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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time571ms−42ms
first ⅓ avg 614ms → last ⅓ avg 571ms
Headshot accuracy15.2%+3.7%
first ⅓ avg 11.6% → last ⅓ avg 15.2%

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 · 13–1 · anubis, 20 Jul →
38%Best headshot accuracy · 2–13 · inferno, 28 Aug →
398msFastest reaction time · 13–4 · ancient, 21 Aug →
13–1Biggest win · cache, 29 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
4–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 57% over 7overpassWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2713–1448%-0.01
infernoB199–1047%-0.00
cacheC177–1041%-0.01
anubisB179–853%-0.01
overpassD82–625%-0.03
ancientA74–357%-0.02
mirage—21–150%-0.02
dust2—20–20%-0.04
vertigo—10–10%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

57Matches
58%Win rate
0.79Avg K/D
74.7ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

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.

14.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.2%Spray accuracy
78.8%Counter-strafing
8.2°Preaim
564msReaction time
29.8%T opening success
43.6%CT opening success
0.40Enemies flashed / flash
4.6%Flash assists
12.58HE damage / grenade
1.63Flashes / 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. 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 14.9305% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4008 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.8469% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0813%2 Nov →
cache7–13-0.007%2 Nov →
mirage16–13-0.0313%29 Oct →
nuke13–50.0521%29 Oct →
cache8–13-0.0923%29 Oct →
cache13–60.0513%29 Oct →
dust29–13-0.0415%23 Oct →
inferno13–11-0.0412%23 Oct →
nuke10–13-0.016%23 Oct →
nuke13–60.0223%23 Oct →
mirage7–13-0.0213%29 Aug →
ancient16–120.0118%29 Aug →
cache13–10.0316%29 Aug →
cache13–5-0.044%29 Aug →
inferno13–60.057%29 Aug →
ancient15–150.0214%29 Aug →
nuke10–13-0.0519%29 Aug →
nuke9–130.0119%28 Aug →
cache13–10-0.0112%28 Aug →
ancient13–4-0.0312%28 Aug →
cache13–50.1416%28 Aug →
inferno2–13-0.0538%28 Aug →
anubis6–13-0.0410%28 Aug →
cache14–16-0.0317%26 Aug →
nuke6–1-0.018%26 Aug →
inferno10–13-0.0412%26 Aug →
anubis13–5-0.0519%26 Aug →
cache8–13-0.0521%25 Aug →
nuke13–40.055%25 Aug →
cache13–90.0318%25 Aug →
cache9–13-0.0510%24 Aug →
cache13–9-0.0430%24 Aug →
anubis11–13-0.0216%24 Aug →
nuke7–00.089%24 Aug →
cache11–13-0.0518%21 Aug →
ancient13–40.0315%21 Aug →
nuke9–130.0010%21 Aug →
inferno14–16-0.0510%21 Aug →
vertigo6–13-0.0217%7 Aug →
dust210–13-0.0413%7 Aug →
nuke12–120.0611%7 Aug →
overpass5–13-0.1415%7 Aug →
ancient13–11-0.056%7 Aug →
inferno6–130.0111%7 Aug →
anubis13–10-0.0817%7 Aug →
cache8–130.0211%28 Jul →
inferno11–130.0117%28 Jul →
anubis6–13-0.0320%28 Jul →
anubis16–13-0.0317%27 Jul →
anubis3–13-0.0721%27 Jul →
cache5–13-0.0212%27 Jul →
nuke13–40.0816%27 Jul →
ancient7–13-0.0910%27 Jul →
nuke13–5-0.045%22 Jul →
anubis7–13-0.0510%22 Jul →
nuke11–13-0.0016%22 Jul →
inferno13–30.0611%22 Jul →
nuke7–13-0.044%20 Jul →
nuke11–13-0.0413%20 Jul →
anubis13–10.1914%20 Jul →
inferno13–100.0123%20 Jul →
ancient11–13-0.0411%8 Jul →
cache1–130.0325%8 Jul →
nuke15–15-0.028%30 Jun →
inferno13–5-0.0517%30 Jun →
nuke10–13-0.049%30 Jun →
anubis9–13-0.0313%29 Jun →
inferno13–11-0.032%29 Jun →
inferno10–130.0011%25 Jun →
anubis4–13-0.1111%25 Jun →
inferno13–70.0420%25 Jun →
overpass4–13-0.0414%25 Jun →
inferno11–130.027%25 Jun →
nuke16–120.046%25 Jun →
nuke13–9-0.0212%24 Jun →
inferno3–13-0.048%24 Jun →
overpass13–60.039%24 Jun →
nuke13–110.0010%15 Jun →
inferno13–60.0919%15 Jun →
overpass13–100.0219%10 Jun →
anubis7–130.116%10 Jun →
anubis13–8-0.0210%20 Apr →
anubis13–50.016%20 Apr →
nuke6–13-0.0725%20 Apr →
inferno13–5-0.0023%20 Apr →
inferno11–13-0.068%19 Apr →
nuke5–13-0.105%19 Apr →
nuke13–10-0.0115%19 Apr →
inferno8–13-0.039%9 Apr →
overpass7–13-0.0617%9 Apr →
anubis13–10-0.036%9 Apr →
anubis13–30.0812%8 Apr →
nuke6–13-0.0512%8 Apr →
overpass11–13-0.0110%1 Apr →
nuke13–8-0.0115%1 Apr →
overpass8–13-0.0518%1 Apr →
anubis13–5-0.0013%1 Apr →
overpass8–130.0211%24 Mar →
nuke2–13-0.053%24 Mar →
nuke16–13-0.0410%19 Mar →

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 →

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