Veridian.AL

Veridian.AL — CS2 Stats

US76561198094309513[U:1:134043785]Steam profile ↗VAC banned

623Tracked matches48%Win rate2021Tracked since
2,337Hours in CS7Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating19,883Top 50% of 204,412 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#84778 of 251476 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (7 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: 19,883 +1,386 17 May – 7 Oct · 7 days played
18,26119,999peak 19,99917 May7 Oct
19,999Peak Premier in tracked matches
43Days played since 2026-05-16

Premier CS Rating

  • 116 below peak (19,999)
  • +1,478 over 90 days
  • Next: Pink band at 20,000 — 117 to go
  • Reached: 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches19——
Win rate26%——
K/D0.71——
Headshot %32%——

Measured 17 Sep 2026 → 14 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 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 rate37.2%44.3%46.9%9.8% short
Shot accuracy16.9%11.9%13.0%above
Kill/death ratio1.131.031.08above
Match win rate48.9%45.2%46.7%above

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

Widest gap: Headshot rate. 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.GGVeridian.ALPREMIER19,883 · 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

Aim61
Positioning39
Utility52

0–100 skill scores via Leetify.

Recent form

COLD58–37–5Last 10058%Win rateLWWLWLLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · −80ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 567ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 488ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 528ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.1 against its own average).

Aim6.1
Utility5.2
Positioning3.9
Opening Duels0.6
Clutch10.0

Reliable in 1v1s

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 90% 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. 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

Aim6.1
Positioning3.9
Utility5.2
Mechanics5.7
Opening Duels0.4
Win Impact4.4

Composite 4.7/10 (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 -0.01 → last ⅓ avg -0.03
Reaction time539ms−52ms
first ⅓ avg 590ms → last ⅓ avg 539ms
Headshot accuracy10.3%−1.6%
first ⅓ avg 11.9% → last ⅓ avg 10.3%

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

0.16Best match rating · 13–1 · anubis, 16 Sept →
40%Best headshot accuracy · 2–13 · nuke, 3 Jul →
375msFastest reaction time · 0–2 · ancient, 27 Sept →
13–1Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

12Longest win streak
6–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 86% over 7officeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B209–1145%-0.03
nukeA1810–856%-0.04
mirageS1611–569%-0.02
cacheC94–544%-0.02
infernoA95–456%0.01
anubisS76–186%0.04
vertigoA53–260%-0.02
ancientA53–260%0.02
officeC52–340%-0.00
train—32–167%0.00
overpass—33–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

53,594Lifetime kills
1.13K/D · Top 50% of Purple band
2,386Matches
48.9%Match win rate · Top 25% of Purple band
37.2%Headshot %
16.9%Shot accuracy · Top 25% of Purple band
5,140MVPs
968Hours (in match)
2,402Bombs planted
747Bombs defused

Most-used weapons

Lifetime map wins

4,610dust2
2,403inferno
1,431nuke
885train
675cbble
516office
415vertigo
110lake

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

Faceit stats

Combat

12Matches
50%Win rate
1.22Avg K/D
82.4ADR
40%Headshot %

Clutches & streaks

80%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.2219.7
Vertigo3100%1.2718.7
Ancient20%0.8413.5
Anubis250%2.1617.0
Inferno10%0.538.0
Dust210%0.578.0

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.

10.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.9%Spray accuracy
75.5%Counter-strafing
9.6°Preaim
551msReaction time
23.5%T opening success
33.4%CT opening success
0.41Enemies flashed / flash
6.1%Flash assists
7.27HE damage / grenade
11.04Flashes / 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 10.7259% — 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 0.4129 — 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 23.4541% — below the 40% mark we flag

Spend your practice time on Cache

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke8–9-0.0311%7 Oct →
cache13–5-0.014%5 Oct →
nuke13–7-0.068%5 Oct →
dust211–13-0.0312%4 Oct →
dust213–7-0.0114%3 Oct →
mirage0–6-0.130%2 Oct →
vertigo9–13-0.038%1 Oct →
inferno9–130.0313%28 Sept →
ancient0–20.0320%27 Sept →
dust26–13-0.079%27 Sept →
dust29–13-0.066%23 Sept →
anubis13–70.0311%23 Sept →
vertigo12–12-0.0417%21 Sept →
dust21–70.0312%21 Sept →
cache7–13-0.1010%18 Sept →
nuke13–9-0.094%16 Sept →
anubis13–10.1615%16 Sept →
nuke13–11-0.039%16 Sept →
dust213–2-0.036%16 Sept →
mirage10–13-0.087%9 Sept →
dust215–15-0.009%9 Sept →
dust28–13-0.0215%8 Sept →
nuke3–13-0.0721%8 Sept →
mirage13–10.0212%8 Sept →
dust25–13-0.128%8 Sept →
cache12–12-0.0516%7 Sept →
anubis13–110.0011%29 Aug →
dust29–2-0.029%29 Aug →
mirage13–11-0.0415%29 Aug →
mirage13–90.0110%15 Aug →
nuke13–40.016%15 Aug →
vertigo13–10-0.054%15 Aug →
mirage16–130.048%2 Aug →
mirage13–10.148%1 Aug →
dust213–30.0521%1 Aug →
mirage13–2-0.002%1 Aug →
train13–20.0217%1 Aug →
vertigo13–100.0615%31 Jul →
ancient6–13-0.028%30 Jul →
dust22–13-0.099%30 Jul →
mirage0–4-0.150%24 Jul →
nuke13–2-0.0621%24 Jul →
dust211–30.0412%23 Jul →
nuke7–13-0.056%15 Jul →
nuke13–8-0.039%12 Jul →
office13–100.0610%10 Jul →
inferno13–100.0220%9 Jul →
ancient13–80.043%9 Jul →
cache13–4-0.013%5 Jul →
mirage6–13-0.1013%5 Jul →
nuke0–7-0.1013%5 Jul →
mirage13–11-0.0218%5 Jul →
office11–13-0.0335%4 Jul →
nuke9–13-0.0516%4 Jul →
inferno13–110.008%4 Jul →
nuke7–13-0.027%3 Jul →
dust213–10-0.0014%3 Jul →
dust212–12-0.0321%3 Jul →
nuke2–13-0.0740%3 Jul →
nuke13–5-0.0012%3 Jul →
inferno13–7-0.0025%2 Jul →
dust213–10.0115%2 Jul →
inferno2–130.0519%21 Jun →
train13–90.016%21 Jun →
cache12–120.0722%21 Jun →
dust213–6-0.043%17 Jun →
mirage13–50.028%17 Jun →
anubis6–10-0.0419%17 Jun →
inferno8–13-0.027%6 Jun →
anubis13–50.0211%6 Jun →
overpass13–6-0.0412%4 Jun →
inferno13–20.045%31 May →
overpass13–7-0.0313%31 May →
anubis13–30.1218%31 May →
mirage13–40.047%31 May →
dust20–13-0.110%31 May →
anubis13–8-0.018%31 May →
dust22–7-0.0210%23 May →
cache8–11-0.053%23 May →
cache9–13-0.0016%22 May →
mirage13–70.0419%20 May →
nuke13–70.0216%20 May →
office13–50.069%20 May →
nuke4–130.0110%20 May →
inferno6–13-0.054%20 May →
nuke13–4-0.025%19 May →
mirage13–60.0230%18 May →
dust213–11-0.0814%18 May →
ancient13–5-0.0416%18 May →
vertigo10–6-0.028%18 May →
inferno13–100.0412%17 May →
office3–9-0.0510%17 May →
nuke13–80.0119%17 May →
overpass9–3-0.0314%17 May →
ancient13–30.0719%16 May →
cache13–4-0.0513%16 May →
cache13–40.037%16 May →
mirage7–13-0.1115%16 May →
train5–7-0.0316%16 May →
office11–13-0.0610%16 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches12-Win Streak
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.