VENOM

VENOM — CS2 Stats

DE76561197977846257[U:1:17580529]Steam profile ↗✓ No bans

274Tracked matches43%Win rate2020Tracked since
723Hours in CS
CSDB Rating4.9 DevelopingSupport
Premier CS Rating11,641Blue band · top ~46.2% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (16 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: 11,641 +314 12 May – 22 Sept · 15 days played
10,32212,211peak 12,21112 May22 Sept
12,296Peak Premier in tracked matches
25Days played since 2026-04-24

Premier CS Rating

  • 570 below peak (12,211)
  • -12 over 30 days · steady
  • +515 over 90 days
  • Next: Purple band at 15,000 — 3,359 to go
  • Reached: 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
Matches12——
Win rate58%——
K/D0.92——
Headshot %62%——

Measured 11 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 Blue band among CSDB-tracked players (n=21,222), 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 rate59.4%42.0%44.3%above
Shot accuracy14.1%9.6%11.9%above
Kill/death ratio0.940.981.030.09 short
Match win rate36.2%43.8%45.2%9.0% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGVENOMPREMIER11,641 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

HOT43–52–5Last 10043%Win rateLLWWWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · +3.7pp headshot accuracy · −41ms reaction

Win rate up 50pp 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 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 557ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

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 (+1.4 against its own average).

Aim6.7
Utility5.6
Positioning5.2
Opening Duels1.9

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 566ms 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

Aim6.7
Positioning5.2
Utility5.6
Mechanics5.8
Opening Duels1.7
Win Impact2.8

Composite 4.9/10 (Developing), 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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time565ms−61ms
first ⅓ avg 625ms → last ⅓ avg 565ms
Headshot accuracy20.7%−4.7%
first ⅓ avg 25.4% → last ⅓ avg 20.7%

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

0.26Best match rating · 9–1 · nuke, 2 Jun →
44%Best headshot accuracy · 9–6 · inferno, 26 May →
422msFastest reaction time · 13–9 · anubis, 21 Aug →
13–2Biggest win · nuke, 11 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 61% over 18dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
cacheC2811–1739%0.00
infernoB1910–953%0.01
nukeA1811–761%-0.01
dust2D122–1017%-0.01
ancientC73–443%0.00
mirageD61–517%-0.01
anubisC52–340%-0.04
overpass—43–175%0.01
office—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,693Lifetime kills
0.94K/D
1,890Matches
36.2%Match win rate
59.4%Headshot % · Top 5% of Blue band
14.1%Shot accuracy · Top 50% of Blue band
2,685MVPs
723Hours (in match)
1,612Bombs planted
415Bombs defused

Most-used weapons

Lifetime map wins

2,401dust2
2,180inferno
1,104nuke
623train
298vertigo
261cbble
84lake
65office

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

Faceit stats

Combat

6Matches
50%Win rate
0.92Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

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.

19.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
31.6%Spray accuracy
76.1%Counter-strafing
9.5°Preaim
566msReaction time
29.4%T opening success
43.7%CT opening success
0.52Enemies flashed / flash
4.3%Flash assists
9.24HE damage / grenade
6.26Flashes / 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 29.4241% — 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.

17% win rate across 12 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
dust213–16-0.0918%22 Sept →
nuke6–130.0521%22 Sept →
inferno13–6-0.0017%22 Sept →
ancient13–40.0334%22 Sept →
anubis13–80.0010%18 Sept →
inferno13–100.1224%18 Sept →
cache11–13-0.0423%15 Sept →
nuke13–6-0.0026%15 Sept →
nuke13–10-0.0540%15 Sept →
nuke13–10-0.0214%15 Sept →
nuke7–13-0.0824%8 Sept →
ancient13–8-0.0326%8 Sept →
cache13–110.0714%8 Sept →
dust25–130.0118%8 Sept →
cache6–13-0.0024%8 Sept →
dust21–13-0.018%4 Sept →
ancient11–13-0.0012%4 Sept →
nuke9–13-0.0611%1 Sept →
dust25–13-0.0022%1 Sept →
cache5–13-0.0331%1 Sept →
cache13–80.0514%25 Aug →
anubis7–13-0.0912%25 Aug →
ancient8–13-0.0024%25 Aug →
nuke4–13-0.0123%25 Aug →
inferno8–13-0.0217%25 Aug →
anubis13–9-0.0320%21 Aug →
cache8–130.0416%21 Aug →
ancient13–70.0724%21 Aug →
dust210–130.0918%21 Aug →
inferno16–140.0518%21 Aug →
inferno8–13-0.0322%18 Aug →
mirage6–13-0.0529%18 Aug →
dust213–11-0.0129%18 Aug →
inferno13–110.0926%11 Aug →
cache7–13-0.0326%11 Aug →
nuke13–20.0840%11 Aug →
inferno14–160.0217%11 Aug →
anubis3–13-0.0124%11 Aug →
nuke11–13-0.0022%4 Aug →
dust21–13-0.0714%4 Aug →
cache6–13-0.0227%4 Aug →
dust24–130.0233%4 Aug →
inferno13–70.0036%28 Jul →
nuke7–13-0.1224%28 Jul →
nuke13–7-0.0620%28 Jul →
inferno8–130.0131%28 Jul →
dust213–10-0.0417%28 Jul →
cache11–13-0.0430%7 Jul →
overpass12–12-0.0320%7 Jul →
cache13–100.0324%7 Jul →
ancient4–130.0124%7 Jul →
nuke13–7-0.0320%7 Jul →
nuke13–5-0.0224%30 Jun →
mirage4–13-0.0535%30 Jun →
inferno13–20.0823%30 Jun →
nuke13–5-0.0524%30 Jun →
inferno13–30.0128%30 Jun →
dust215–150.0633%23 Jun →
dust210–130.0421%23 Jun →
inferno13–50.0534%23 Jun →
nuke13–6-0.0221%16 Jun →
inferno14–16-0.0318%16 Jun →
mirage6–13-0.0028%7 Jun →
overpass13–20.0930%7 Jun →
nuke15–150.0223%7 Jun →
nuke9–10.2638%2 Jun →
inferno6–9-0.1235%2 Jun →
mirage11–130.0022%2 Jun →
anubis6–13-0.0615%2 Jun →
ancient4–13-0.0628%2 Jun →
cache13–7-0.0223%26 May →
cache13–110.0225%26 May →
inferno9–60.0444%26 May →
inferno3–13-0.0815%19 May →
inferno13–7-0.0130%19 May →
dust23–13-0.0818%19 May →
overpass13–100.0124%19 May →
mirage7–13-0.0231%19 May →
inferno14–16-0.0122%13 May →
cache12–120.1034%13 May →
cache8–50.0824%13 May →
mirage13–90.0430%13 May →
cache13–7-0.0129%13 May →
nuke13–9-0.0429%13 May →
cache9–13-0.0027%13 May →
cache13–6-0.0526%13 May →
cache5–130.0729%12 May →
cache13–4-0.0127%12 May →
inferno15–150.0823%12 May →
overpass13–9-0.0327%12 May →
cache8–130.0317%5 May →
cache7–13-0.0521%5 May →
cache8–13-0.0322%5 May →
cache0–13-0.0025%5 May →
cache4–13-0.0819%30 Apr →
cache13–11-0.0131%30 Apr →
cache13–90.0140%30 Apr →
cache11–13-0.0225%30 Apr →
cache6–13-0.0220%30 Apr →
office10–130.0017%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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