VireZ

VireZ — CS2 Stats

DK76561198305944913[U:1:345679185]Steam profile ↗✓ No bans

1,934Tracked matches40%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,730 → 3,730
+4Tracked matches · now 1,934
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Faceit ELO: 3,730 +0 30 Aug – 23 Oct · 3 observations
3,7303,730peak 3,73030 Aug23 Oct
24,647Peak Premier in tracked matches
3,730Highest Faceit ELO seen on CSDB
48Days played since 2024-07-05

Faceit ELO

  • At peak — 3,730
  • 0 over 30 days · steady
  • Next: 4,000 ELO at 4,000 — 270 to go
  • Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
  • 3,500 ELO first seen 2026-08-30
  • 3,000 ELO first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGVireZ30 DAYS0 ELOPEAK ELO3,730csdb.gg/stats

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Performance scores

Aim90
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWLWLLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · +45ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 487ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 522ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 499ms

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 (+1.1 against its own average).

Aim9.0
Utility5.8
Positioning6.4
Opening Duels4.5
Clutch4.6

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

jL

Plays most like jL 95% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 90 — 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 57% on CT to 35% 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

Aim9.0
Positioning6.4
Utility5.8
Mechanics6.3
Opening Duels4.0
Win Impact1.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time489ms−76ms
first ⅓ avg 565ms → last ⅓ avg 489ms
Headshot accuracy21.5%+2.3%
first ⅓ avg 19.2% → last ⅓ avg 21.5%

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

0.25Best match rating · 13–2 · mirage, 25 Feb →
67%Best headshot accuracy · 11–13 · overpass, 10 Apr →
344msFastest reaction time · 6–13 · dust2, 1 Apr →
13–1Biggest win · dust2, 31 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
10–15In matches decided by ≤2 rounds
13Overtime games

Map breakdown

trainBest map · 83% over 6dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientC249–1538%0.02
anubisB199–1047%-0.01
nukeB178–947%0.00
overpassB105–550%0.02
infernoS86–275%0.02
dust2D72–529%0.01
trainS65–183%0.09
mirageS64–267%0.06
poseidon—10–10%-0.10
edin—10–10%0.05
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,038Matches
55%Win rate
1.24Avg K/D
85.4ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient30964%1.2917.1
Anubis17361%1.3716.6
Nuke15261%1.4218.6
Overpass8273%1.4518.2
Inferno6854%1.3819.0
Mirage6340%1.1617.8
Vertigo5463%1.2915.6
Dust24060%1.1916.5

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.

22.3%Headshot accuracy
39.4%Accuracy (enemy spotted)
42.4%Spray accuracy
78.5%Counter-strafing
8.8°Preaim
485msReaction time
35.4%T opening success
56.9%CT opening success
0.60Enemies flashed / flash
11.1%Flash assists
5.64HE damage / grenade
17.17Flashes / 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 35.4104% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno14–16-0.0322%8 Aug →
ancient11–13-0.0416%27 Jun →
anubis19–160.0721%1 May →
dust25–13-0.0131%26 Apr →
nuke13–90.0523%26 Apr →
anubis11–130.0215%26 Apr →
overpass9–13-0.0214%25 Apr →
ancient13–70.0720%25 Apr →
nuke13–70.038%25 Apr →
ancient14–16-0.0121%12 Apr →
anubis8–13-0.0216%12 Apr →
ancient14–16-0.0121%12 Apr →
anubis8–13-0.0216%12 Apr →
anubis5–13-0.0515%12 Apr →
ancient8–130.0220%12 Apr →
ancient8–130.0220%12 Apr →
anubis5–13-0.0515%12 Apr →
anubis13–4-0.024%11 Apr →
ancient9–130.1132%11 Apr →
inferno13–110.0447%11 Apr →
anubis13–4-0.024%11 Apr →
ancient9–130.1132%11 Apr →
inferno13–110.0447%11 Apr →
anubis13–110.0038%11 Apr →
ancient13–7-0.0011%11 Apr →
nuke11–13-0.074%11 Apr →
ancient13–7-0.0011%11 Apr →
anubis13–110.0038%11 Apr →
nuke11–13-0.074%11 Apr →
overpass11–130.0167%10 Apr →
overpass13–110.0333%10 Apr →
anubis19–170.039%10 Apr →
dust210–130.0418%10 Apr →
nuke13–10-0.0224%1 Apr →
ancient8–130.0110%1 Apr →
inferno6–13-0.0640%1 Apr →
nuke13–10-0.0224%1 Apr →
ancient8–130.0110%1 Apr →
dust26–13-0.0518%1 Apr →
overpass13–16-0.0226%1 Apr →
dust26–13-0.0518%1 Apr →
overpass13–16-0.0226%1 Apr →
overpass13–40.0717%31 Mar →
overpass13–40.0717%31 Mar →
dust213–10.0714%31 Mar →
nuke7–13-0.0133%31 Mar →
nuke7–13-0.0133%31 Mar →
inferno13–100.0414%31 Mar →
inferno13–100.0414%31 Mar →
nuke6–13-0.0817%31 Mar →
nuke6–13-0.0817%31 Mar →
overpass20–220.0315%4 Mar →
anubis4–130.0118%3 Mar →
anubis13–11-0.0315%27 Feb →
nuke9–13-0.0019%27 Feb →
nuke11–13-0.0210%27 Feb →
overpass13–50.029%14 Feb →
ancient13–70.0537%29 Jan →
poseidon8–8-0.1025%25 Jan →
anubis7–13-0.0228%20 Jan →
nuke17–19-0.0121%19 Jan →
nuke13–70.1016%17 Jan →
ancient9–13-0.0710%22 Dec →
dust25–130.0232%21 Dec →
train13–70.1012%22 Nov →
train13–70.0733%12 Nov →
mirage13–50.0620%4 Nov →
train19–150.0520%21 Oct →
nuke13–9-0.0117%21 Sept →
mirage13–110.0129%23 Aug →
overpass13–80.0226%3 Aug →
mirage13–20.2518%25 Feb →
mirage11–130.0117%11 Jan →
anubis11–130.0520%11 Jan →
train7–130.0922%3 Jan →
edin12–120.0519%2 Jan →
inferno13–110.0222%2 Jan →
ancient15–15-0.0117%2 Jan →
nuke13–60.0724%29 Nov →
vertigo13–7-0.019%28 Nov →
anubis7–13-0.0518%18 Nov →
train13–40.1329%16 Nov →
ancient5–13-0.029%14 Nov →
train13–30.1229%13 Nov →
anubis13–50.0314%21 Sept →
ancient13–70.1917%20 Sept →
anubis8–13-0.0513%9 Sept →
ancient1–13-0.108%3 Sept →
mirage14–16-0.0313%17 Aug →
ancient13–20.0810%24 Jul →
ancient16–12-0.019%24 Jul →
mirage13–80.0410%22 Jul →
ancient5–13-0.0129%8 Jul →
inferno13–60.0616%7 Jul →
ancient13–11-0.0113%7 Jul →
dust213–60.0640%5 Jul →
ancient13–60.1121%5 Jul →
nuke13–60.1627%5 Jul →
ancient11–13-0.0130%5 Jul →
anubis13–70.0219%5 Jul →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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