Gengar ⊙ˍ⊙

Gengar ⊙ˍ⊙ — CS2 Stats

TW76561198428113418[U:1:467847690]Steam profile ↗✓ No bans

1,671Tracked matches37%Win rate2024Tracked since
CSDB Rating3.4 LearningSupport
Premier CS Rating14,074Blue band · top ~33.3% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 14,074 -1,752 14 Sept – 12 Nov · 16 days played
13,75616,369peak 16,36914 Sept12 Nov
16,428Peak Premier in tracked matches
30Days played since 2026-09-08

Premier CS Rating

  • 2,295 below peak (16,369)
  • -1,922 over 30 days · declining
  • Next: Purple band at 15,000 — 926 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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

Share this profile

CSDB.GGGengar ⊙ˍ⊙FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,074 · Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

COLD41–59Last 10041%Win rateWLWLLLLWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.7pp headshot accuracy · +5ms 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 -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 659ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 651ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 649ms

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 (+1.6 against its own average).

Aim2.9
Utility5.9
Positioning5.0
Opening Duels2.4
Clutch4.0

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

ZywOo

Plays most like ZywOo 57% 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. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.9
Positioning5.0
Utility5.9
Mechanics3.6
Opening Duels2.7
Win Impact0.6

Composite 3.4/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time660ms−6ms
first ⅓ avg 666ms → last ⅓ avg 660ms
Headshot accuracy14.1%−4.1%
first ⅓ avg 18.1% → last ⅓ avg 14.1%

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

0.13Best match rating · 13–4 · ancient, 8 Sept →
40%Best headshot accuracy · 0–13 · boulder, 2 Oct →
406msFastest reaction time · 3–13 · ancient, 1 Oct →
13–1Biggest win · dust2, 6 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 50% over 24mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2510–1540%-0.02
ancientB2412–1250%0.01
cacheB199–1047%-0.03
nukeC94–544%-0.01
mirageD61–517%-0.04
infernoD61–517%-0.03
vertigo—42–250%-0.03
anubis—31–233%-0.03
boulder—10–10%-0.09
fachwerk—10–10%-0.06
overpass—11–0100%-0.03
train—10–10%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

95Matches
51%Win rate
1.02Avg K/D
83.4ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2361%1.1218.7
Dust22143%0.9916.7
Mirage2157%0.9913.3
Cache967%1.0613.4
Nuke850%0.9917.1
Inferno714%0.7912.6
Anubis540%1.2119.4
Vertigo10%0.7112.0

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.

14.2%Headshot accuracy
32.3%Accuracy (enemy spotted)
36.3%Spray accuracy
66.3%Counter-strafing
14.4°Preaim
653msReaction time
46.3%T opening success
35.2%CT opening success
0.61Enemies flashed / flash
9.8%Flash assists
7.59HE damage / grenade
11.69Flashes / 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 14.4417° — 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 14.2487% — below the 15% mark we flag

    Aim Training →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–14-0.0210%12 Nov →
mirage11–130.0112%6 Nov →
dust213–10.0316%6 Nov →
inferno8–13-0.077%6 Nov →
inferno10–13-0.0723%29 Oct →
ancient9–130.0015%29 Oct →
dust23–13-0.0610%28 Oct →
dust213–80.0212%28 Oct →
nuke8–13-0.0613%27 Oct →
dust25–13-0.047%27 Oct →
nuke9–13-0.0513%22 Oct →
dust213–9-0.0018%22 Oct →
cache3–13-0.0618%22 Oct →
ancient11–130.1115%22 Oct →
anubis3–13-0.0512%21 Oct →
cache7–13-0.0113%21 Oct →
ancient13–11-0.0220%19 Oct →
cache13–8-0.0319%19 Oct →
dust20–13-0.0917%19 Oct →
cache5–13-0.0517%16 Oct →
dust27–13-0.0615%16 Oct →
mirage9–13-0.0314%16 Oct →
anubis13–8-0.0512%16 Oct →
dust26–130.0231%16 Oct →
inferno6–13-0.0114%16 Oct →
mirage13–11-0.079%15 Oct →
dust213–3-0.0011%14 Oct →
ancient8–13-0.057%14 Oct →
dust213–60.0022%14 Oct →
cache13–9-0.0510%10 Oct →
anubis9–13-0.0016%10 Oct →
dust21–13-0.099%10 Oct →
cache13–7-0.048%9 Oct →
cache6–13-0.0414%9 Oct →
dust210–130.0124%6 Oct →
cache10–13-0.0415%6 Oct →
ancient13–6-0.0316%6 Oct →
dust211–13-0.0617%4 Oct →
boulder0–13-0.0940%2 Oct →
fachwerk8–13-0.0632%2 Oct →
dust213–90.0312%2 Oct →
cache6–13-0.0027%1 Oct →
nuke10–130.049%1 Oct →
inferno4–13-0.046%1 Oct →
ancient3–130.0014%1 Oct →
ancient4–13-0.0112%1 Oct →
dust29–13-0.0718%1 Oct →
ancient11–130.0515%29 Sept →
nuke13–30.0314%29 Sept →
ancient13–5-0.0415%27 Sept →
dust210–13-0.0420%27 Sept →
nuke13–90.0311%24 Sept →
mirage5–13-0.0516%24 Sept →
ancient13–110.0011%24 Sept →
vertigo13–9-0.0123%24 Sept →
overpass13–5-0.0316%24 Sept →
ancient13–100.0223%23 Sept →
nuke9–13-0.0519%23 Sept →
inferno13–50.0223%23 Sept →
vertigo13–5-0.0337%23 Sept →
vertigo7–13-0.0715%23 Sept →
cache2–13-0.0517%23 Sept →
inferno7–13-0.0213%22 Sept →
cache13–10.0416%22 Sept →
dust211–13-0.0213%22 Sept →
dust214–160.0311%22 Sept →
ancient10–130.0317%22 Sept →
cache16–12-0.0524%20 Sept →
ancient13–8-0.0112%20 Sept →
dust29–13-0.0117%19 Sept →
ancient10–13-0.0824%19 Sept →
ancient13–60.0818%19 Sept →
cache13–4-0.0722%19 Sept →
ancient16–140.0124%19 Sept →
cache13–3-0.0410%19 Sept →
nuke19–17-0.0113%16 Sept →
cache6–13-0.0614%16 Sept →
dust213–10-0.0018%16 Sept →
vertigo9–13-0.0229%16 Sept →
ancient10–13-0.0423%14 Sept →
ancient13–7-0.0411%14 Sept →
dust23–13-0.0115%14 Sept →
dust28–13-0.037%14 Sept →
ancient10–130.0118%14 Sept →
mirage9–13-0.0618%14 Sept →
dust216–140.0212%13 Sept →
ancient9–130.0312%13 Sept →
cache13–10.1116%13 Sept →
cache10–13-0.0714%13 Sept →
ancient11–130.017%11 Sept →
cache13–8-0.0626%11 Sept →
dust213–6-0.0122%11 Sept →
ancient13–50.1018%11 Sept →
dust29–2-0.0230%9 Sept →
ancient13–6-0.0430%9 Sept →
cache9–13-0.0421%9 Sept →
mirage10–13-0.0217%9 Sept →
ancient13–40.1311%8 Sept →
nuke9–13-0.0416%8 Sept →
train4–130.0327%8 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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