veeR

veeR — CS2 Stats

US76561198141209380[U:1:180943652]Steam profile ↗✓ No bans

944Tracked matches41%Win rate2020Tracked since
1,577Hours in CS
CSDB Rating4.2 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 944
−1.5ppWin rate · 42.9% → 41.4%

Rating over time

Premier CS Rating: 13,149 -1,327 2 Jan – 12 Jun · 29 days played
11,90914,879peak 14,8792 Jan12 Jun
14,879Peak Premier in tracked matches
48Days played since 2026-01-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2——
Win rate50%——
K/D0.75——
Headshot %54%——

Measured 8 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 Level 4 among CSDB-tracked players (n=13,998), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate36.2%42.7%43.7%7.6% short
Shot accuracy17.0%11.3%12.0%above
Kill/death ratio0.680.991.020.34 short
Match win rate38.3%43.9%44.7%6.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGveeRFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim51
Positioning31
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY38–57–5Last 10038%Win rateLWLWWWWWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.4pp headshot accuracy · −95ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 670ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 679ms

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 (+2.8 against its own average).

Aim5.1
Utility5.4
Positioning3.1
Opening Duels0.0
Clutch1.8

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

Twistzz

Plays most like Twistzz 81% 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. 661ms 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

Aim5.1
Positioning3.1
Utility5.4
Mechanics6.8
Opening Duels0.0
Win Impact2.1

Composite 4.2/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time664ms+4ms
first ⅓ avg 660ms → last ⅓ avg 664ms
Headshot accuracy16.1%+2.4%
first ⅓ avg 13.7% → last ⅓ avg 16.1%

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

0.11Best match rating · 13–6 · nuke, 23 Jan →
36%Best headshot accuracy · 1–13 · ancient, 5 Apr →
453msFastest reaction time · 13–3 · inferno, 4 Jan →
13–2Biggest win · cache, 1 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 45% over 11mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC188–1044%-0.03
infernoD144–1029%-0.05
overpassC135–838%-0.04
mirageD123–925%-0.03
ancientC114–736%-0.03
anubisB115–645%-0.02
cacheC104–640%-0.03
dust2C94–544%-0.03
alpine—10–10%0.01
train—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,430Lifetime kills
0.68K/D
3,048Matches
38.3%Match win rate
36.2%Headshot %
17.0%Shot accuracy · Top 25% of Level 4 players
5,373MVPs
1,577Hours (in match)
4,419Bombs planted
655Bombs defused

Most-used weapons

AK-4714,397
AWP7,734
MP91,560
P901,474
SG 5531,453
FAMAS1,243
MAC-101,192

Lifetime map wins

7,501dust2
3,179inferno
2,230nuke
808train
669cbble
405vertigo
141office
24italy

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

Faceit stats

Combat

126Matches
50%Win rate
0.77Avg K/D
51.5ADR
32%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient838%0.659.0
Anubis743%0.689.9
Overpass5100%0.769.8
Nuke4100%0.9111.8
Inferno333%0.547.7
Dust210%0.506.0
Mirage10%0.609.0
Vertigo10%0.539.0

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.

16.4%Headshot accuracy
30.2%Accuracy (enemy spotted)
34.2%Spray accuracy
80.7%Counter-strafing
10.1°Preaim
661msReaction time
24.1%T opening success
19.4%CT opening success
0.66Enemies flashed / flash
2.5%Flash assists
9.00HE damage / grenade
4.32Flashes / 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 24.1283% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0317%19 Sept →
cache13–7-0.0320%19 Sept →
mirage10–130.0316%28 Aug →
nuke13–3-0.0017%28 Aug →
inferno13–110.0127%28 Aug →
ancient13–10-0.0114%28 Aug →
nuke13–110.0217%28 Aug →
anubis13–7-0.0419%15 Aug →
inferno4–13-0.109%15 Aug →
mirage7–13-0.0411%31 Jul →
cache6–13-0.0423%18 Jul →
mirage15–150.0217%18 Jul →
dust210–13-0.0516%18 Jul →
inferno10–13-0.0318%14 Jul →
cache10–13-0.0016%12 Jul →
cache13–70.0018%11 Jul →
cache9–13-0.0621%14 Jun →
inferno8–13-0.0619%14 Jun →
nuke13–3-0.0529%12 Jun →
nuke13–3-0.0810%7 Jun →
cache8–13-0.1024%15 May →
inferno13–16-0.0613%15 May →
anubis9–13-0.0410%15 May →
cache11–13-0.0210%10 May →
cache11–13-0.0213%2 May →
inferno10–13-0.0712%2 May →
cache13–8-0.0621%1 May →
nuke13–7-0.0114%1 May →
cache13–2-0.0011%1 May →
nuke3–13-0.0811%29 Apr →
dust215–15-0.0217%29 Apr →
overpass13–11-0.016%28 Apr →
nuke15–15-0.0518%28 Apr →
anubis3–13-0.0520%27 Apr →
dust216–13-0.049%27 Apr →
inferno2–13-0.0810%27 Apr →
nuke13–6-0.0510%27 Apr →
dust213–5-0.048%21 Apr →
anubis4–13-0.0831%20 Apr →
anubis10–13-0.0615%20 Apr →
mirage13–9-0.0222%20 Apr →
dust211–40.0325%19 Apr →
nuke14–16-0.0317%14 Apr →
mirage13–20.0029%10 Apr →
dust212–16-0.0613%7 Apr →
dust213–8-0.035%6 Apr →
mirage13–9-0.0613%5 Apr →
ancient1–13-0.0836%5 Apr →
anubis8–130.0415%3 Apr →
nuke5–13-0.0318%31 Mar →
nuke4–13-0.118%30 Mar →
dust211–13-0.0715%30 Mar →
ancient13–10-0.0215%30 Mar →
inferno9–13-0.107%28 Mar →
ancient6–13-0.0410%24 Mar →
ancient11–13-0.0415%22 Mar →
overpass13–10-0.0619%22 Mar →
inferno5–13-0.0513%22 Mar →
anubis6–00.0133%22 Mar →
nuke9–130.0211%22 Mar →
overpass11–13-0.0616%22 Mar →
ancient13–10-0.0317%24 Feb →
mirage11–130.028%13 Feb →
overpass13–6-0.0315%8 Feb →
inferno13–10-0.0613%8 Feb →
overpass4–13-0.0533%8 Feb →
anubis13–6-0.0218%7 Feb →
ancient5–13-0.0418%7 Feb →
ancient5–13-0.0711%7 Feb →
overpass13–80.037%7 Feb →
inferno5–13-0.073%7 Feb →
alpine2–130.0115%1 Feb →
ancient13–40.0121%1 Feb →
anubis4–13-0.0513%27 Jan →
overpass5–13-0.1121%26 Jan →
overpass10–13-0.079%26 Jan →
overpass13–9-0.0116%25 Jan →
inferno5–13-0.0421%25 Jan →
nuke8–130.0110%24 Jan →
anubis16–120.068%24 Jan →
nuke13–6-0.0715%24 Jan →
inferno16–130.0211%23 Jan →
anubis13–5-0.0120%23 Jan →
nuke13–60.119%23 Jan →
mirage9–13-0.038%23 Jan →
mirage11–13-0.075%19 Jan →
nuke7–13-0.0312%19 Jan →
mirage7–13-0.0824%14 Jan →
nuke6–13-0.0310%13 Jan →
overpass9–13-0.0623%13 Jan →
overpass11–13-0.0521%4 Jan →
inferno13–3-0.0210%4 Jan →
overpass15–15-0.0222%4 Jan →
overpass9–13-0.0516%3 Jan →
train13–9-0.0621%3 Jan →
ancient10–13-0.0416%3 Jan →
nuke10–13-0.0411%3 Jan →
dust212–120.0313%3 Jan →
mirage10–13-0.068%3 Jan →
ancient8–130.057%2 Jan →

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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