venom

venom — CS2 Stats

US76561199439027461[U:1:1478761733]Steam profile ↗✓ No bans

86Tracked matches41%Win rate2023Tracked since
CSDB Rating1.7 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim9
Positioning32
Utility10

0–100 skill scores via Leetify.

Recent form

COLD32–47–7Last 8637%Win rateLLLLLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · −37ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.10
  • Avg headshot accuracy 6%
  • Avg reaction 664ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 648ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 666ms

Newest first, from the last 86 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 (+1.8 against its own average).

Aim0.9
Utility1.0
Positioning3.2
Opening Duels0.0

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 69% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.9
Positioning3.2
Utility1.0
Mechanics2.8
Opening Duels0.5
Win Impact2.1

Composite 1.7/10 (Learning), 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-0.06+0.02
first ⅓ avg -0.08 → last ⅓ avg -0.06
Reaction time683ms−121ms
first ⅓ avg 804ms → last ⅓ avg 683ms
Headshot accuracy11.1%−1.2%
first ⅓ avg 12.3% → last ⅓ avg 11.1%

Rolling 5-match average across the last 86 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.07Best match rating · 9–7 · nuke, 29 May →
33%Best headshot accuracy · 6–2 · vertigo, 31 Mar →
422msFastest reaction time · 6–9 · nuke, 13 Jun →
13–2Biggest win · nuke, 24 Mar →

Across the last 86 tracked matches.

Highlights

5Longest win streak
L6Current streak
10–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 50% over 20mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2D237–1630%-0.07
nukeB2010–1050%-0.06
mirageD154–1127%-0.09
infernoC104–640%-0.08
vertigo—42–250%-0.06
overpass—42–250%-0.10
anubis—31–233%-0.06
cache—30–30%-0.09
office—21–150%-0.10
agency—10–10%-0.09
ancient—11–0100%-0.03

Across the last 86 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.9%Headshot accuracy
24.7%Accuracy (enemy spotted)
20.4%Spray accuracy
62.5%Counter-strafing
13.5°Preaim
664msReaction time
19.2%T opening success
34.2%CT opening success
0.33Enemies flashed / flash
2.0%Flash assists
0.42HE damage / grenade
1.36Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.5464° — above the 12° mark we flag

    Aim Training →
  2. 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 10.9442% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3333 — below the 0.5 mark we flag

    Grenade Lineups →
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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.097%28 Jun →
inferno4–13-0.150%28 Jun →
dust26–13-0.1112%11 Apr →
mirage11–13-0.115%4 Apr →
dust23–13-0.058%4 Apr →
inferno3–13-0.0613%4 Apr →
vertigo6–20.0033%31 Mar →
mirage9–13-0.095%31 Mar →
inferno13–8-0.047%31 Mar →
anubis13–50.029%31 Mar →
nuke11–4-0.0424%31 Mar →
dust213–9-0.0615%31 Mar →
dust211–13-0.028%30 Mar →
overpass10–13-0.087%30 Mar →
inferno11–13-0.0412%30 Mar →
nuke3–13-0.026%30 Mar →
overpass5–3-0.1011%28 Mar →
mirage12–12-0.066%28 Mar →
inferno7–13-0.095%28 Mar →
nuke13–3-0.038%28 Mar →
nuke13–2-0.0520%24 Mar →
dust213–8-0.1111%24 Mar →
nuke5–0-0.0411%24 Mar →
nuke13–11-0.0516%18 Mar →
mirage0–13-0.070%2 Feb →
dust210–13-0.0620%2 Feb →
nuke10–13-0.0511%2 Feb →
nuke13–11-0.0322%31 Jan →
nuke5–9-0.0216%13 Jun →
nuke6–9-0.119%13 Jun →
anubis8–8-0.0713%13 Jun →
nuke4–9-0.128%9 Jun →
vertigo9–4-0.0310%9 Jun →
dust21–9-0.127%9 Jun →
mirage8–8-0.0415%6 Jun →
agency0–9-0.090%3 Jun →
office9–6-0.077%3 Jun →
ancient9–3-0.035%2 Jun →
cache4–9-0.0912%2 Jun →
dust21–9-0.1513%2 Jun →
inferno1–9-0.110%2 Jun →
nuke8–8-0.048%2 Jun →
mirage1–9-0.150%2 Jun →
dust26–9-0.0611%2 Jun →
nuke9–7-0.0316%2 Jun →
cache8–8-0.1010%1 Jun →
nuke6–9-0.058%1 Jun →
mirage9–7-0.1023%1 Jun →
nuke3–9-0.0813%31 May →
nuke2–9-0.1025%31 May →
office8–8-0.128%31 May →
mirage9–2-0.037%31 May →
inferno9–5-0.049%31 May →
cache3–9-0.097%31 May →
nuke5–9-0.136%31 May →
dust24–9-0.0810%30 May →
vertigo8–8-0.120%30 May →
nuke9–7-0.0712%29 May →
dust22–9-0.104%29 May →
nuke9–70.0721%29 May →
vertigo7–9-0.095%29 May →
mirage6–9-0.130%29 May →
dust21–9-0.067%29 May →
overpass2–9-0.064%29 May →
mirage16–8-0.0814%15 May →
dust27–9-0.146%30 Apr →
mirage1–9-0.1029%30 Apr →
dust29–1-0.0619%28 Apr →
dust29–4-0.0518%28 Apr →
dust24–9-0.136%28 Apr →
dust24–9-0.0114%28 Apr →
inferno1–9-0.094%28 Apr →
dust27–9-0.0711%28 Apr →
dust22–9-0.0721%28 Apr →
mirage6–9-0.096%28 Apr →
dust29–4-0.0417%27 Apr →
anubis6–9-0.1413%27 Apr →
dust29–50.0119%27 Apr →
mirage2–9-0.1513%27 Apr →
inferno9–7-0.079%26 Apr →
mirage3–9-0.1018%26 Apr →
nuke9–7-0.130%26 Apr →
dust29–1-0.065%25 Apr →
overpass9–7-0.1622%25 Apr →
inferno9–5-0.1016%24 Apr →
mirage9–6-0.0223%24 Apr →

Match data via Leetify.

Recent teammates

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

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