♥Vanessa♥

♥Vanessa♥ — CS2 Stats

76561199799852713[U:1:1839586985]Steam profile ↗✓ No bans

1,504Tracked matches46%Win rate2025Tracked since
1,726Hours in CS77Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+108Tracked matches · now 1,504
−3.8ppWin rate · 50.0% → 46.2%

Rating over time

20Days played since 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches138——
Win rate35%——
K/D0.58——
Headshot %24%——

Measured 4 Sep 2026 → 6 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.

Performance scores

Aim31
Positioning48
Utility16

0–100 skill scores via Leetify.

Recent form

COLD37–51–12Last 10037%Win rateLLLWWLLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.9pp headshot accuracy · +14ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 711ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 642ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 634ms

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 (+2.5 against its own average).

Aim3.1
Utility1.6
Positioning4.8
Opening Duels0.6

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

iM

Plays most like iM 73% 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. 642ms 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

Aim3.1
Positioning4.8
Utility1.6
Mechanics4.8
Opening Duels2.6
Win Impact3.7

Composite 3.5/10 (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-0.05−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time648ms+4ms
first ⅓ avg 645ms → last ⅓ avg 648ms
Headshot accuracy9.9%+1.3%
first ⅓ avg 8.6% → last ⅓ avg 9.9%

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

0.05Best match rating · 10–13 · office, 22 Sept →
25%Best headshot accuracy · 11–13 · office, 24 Sept →
422msFastest reaction time · 4–13 · office, 24 Sept →
13–0Biggest win · office, 22 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
8–8In matches decided by ≤2 rounds

Map breakdown

officeBest map · 38% over 76dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
officeC7629–4738%-0.04
dust2D62–433%-0.06
nuke—41–325%-0.07
inferno—31–233%-0.08
vertigo—31–233%-0.18
cache—20–20%-0.08
mirage—21–150%-0.00
anubis—21–150%-0.14
ancient—10–10%-0.09
train—11–0100%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,833Lifetime kills
0.49K/D
1,663Matches
38.2%Match win rate
39.9%Headshot %
0.0%Shot accuracy
1,333MVPs
655Hours (in match)
696Bombs planted
73Bombs defused

Most-used weapons

Lifetime map wins

7,226office
2,080dust2
1,009nuke
694inferno
350vertigo
230train
91italy
73lake

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

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
35.1%Accuracy (enemy spotted)
25.1%Spray accuracy
71.7%Counter-strafing
12.8°Preaim
642msReaction time
46.4%T opening success
34.1%CT opening success
0.27Enemies flashed / flash
3.8%Flash assists
3.79HE damage / grenade
1.10Flashes / 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 12.7673° — 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 10.6789% — 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 0.2662 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0510%5 Oct →
inferno6–13-0.099%5 Oct →
nuke4–13-0.0713%5 Oct →
mirage13–9-0.026%5 Oct →
nuke13–80.006%5 Oct →
office10–13-0.0913%4 Oct →
office5–13-0.0824%4 Oct →
office13–9-0.0521%4 Oct →
ancient11–13-0.0912%4 Oct →
office3–13-0.083%4 Oct →
vertigo2–9-0.280%3 Oct →
office13–11-0.045%3 Oct →
office12–12-0.115%3 Oct →
office11–13-0.0915%3 Oct →
office9–13-0.059%3 Oct →
dust213–8-0.0615%3 Oct →
office13–10-0.069%3 Oct →
office11–13-0.034%2 Oct →
office12–12-0.0723%2 Oct →
office7–13-0.0613%2 Oct →
office13–3-0.0416%2 Oct →
office13–11-0.0314%1 Oct →
office2–13-0.026%30 Sept →
office12–120.0210%30 Sept →
office13–11-0.0214%30 Sept →
office13–20.0110%30 Sept →
office8–13-0.077%29 Sept →
office13–6-0.050%29 Sept →
office13–8-0.057%29 Sept →
office12–120.0311%29 Sept →
office6–13-0.0411%28 Sept →
office13–9-0.024%28 Sept →
office11–13-0.014%28 Sept →
office13–3-0.090%28 Sept →
mirage11–130.0216%27 Sept →
office4–13-0.065%27 Sept →
office13–7-0.0712%27 Sept →
office1–13-0.0716%27 Sept →
office4–13-0.100%27 Sept →
office6–13-0.0210%26 Sept →
office13–6-0.039%26 Sept →
office13–8-0.0715%25 Sept →
office9–13-0.1014%25 Sept →
office5–13-0.1110%25 Sept →
office12–12-0.008%25 Sept →
dust26–13-0.0720%25 Sept →
anubis2–13-0.150%25 Sept →
office11–13-0.046%25 Sept →
office8–13-0.0518%25 Sept →
office13–11-0.0611%25 Sept →
dust23–13-0.0320%25 Sept →
vertigo5–13-0.159%25 Sept →
office11–13-0.0612%25 Sept →
office7–13-0.066%24 Sept →
office12–6-0.068%24 Sept →
office13–7-0.0413%24 Sept →
office11–13-0.1125%24 Sept →
office13–3-0.048%24 Sept →
office13–80.0011%24 Sept →
office12–12-0.066%24 Sept →
office4–13-0.093%24 Sept →
vertigo13–11-0.108%23 Sept →
dust22–9-0.110%23 Sept →
cache8–13-0.1111%23 Sept →
office13–11-0.080%23 Sept →
office13–9-0.0310%22 Sept →
inferno8–13-0.1018%22 Sept →
office13–5-0.0217%22 Sept →
office13–7-0.0312%22 Sept →
office13–00.048%22 Sept →
train13–5-0.086%22 Sept →
inferno13–3-0.058%22 Sept →
nuke8–13-0.134%22 Sept →
office10–130.059%22 Sept →
office12–12-0.058%22 Sept →
office13–40.0217%22 Sept →
office13–9-0.029%22 Sept →
office7–13-0.006%22 Sept →
dust213–9-0.068%21 Sept →
office7–5-0.0810%21 Sept →
office6–13-0.0014%21 Sept →
anubis13–9-0.124%20 Sept →
nuke4–13-0.0813%20 Sept →
office1–13-0.100%20 Sept →
office8–13-0.049%20 Sept →
office5–13-0.0811%20 Sept →
office12–12-0.096%20 Sept →
office6–13-0.053%20 Sept →
office6–13-0.0519%19 Sept →
office4–13-0.043%19 Sept →
office6–13-0.084%17 Sept →
office13–40.0213%17 Sept →
office12–120.009%17 Sept →
dust28–13-0.029%16 Sept →
office4–130.025%16 Sept →
office12–12-0.006%16 Sept →
office2–13-0.057%16 Sept →
office13–110.018%16 Sept →
office12–12-0.0514%14 Sept →
office12–12-0.037%14 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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