Gnome

Gnome — CS2 Stats

US76561197961196675[U:1:930947]Steam profile ↗✓ No bans

2,192Tracked matches50%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating13,963Blue band · top ~33.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (17 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: 13,963 +1,589 17 Jul – 19 Oct · 30 days played
11,48614,192peak 14,19217 Jul19 Oct
14,401Peak Premier in tracked matches
36Days played since 2026-07-17

Premier CS Rating

  • 229 below peak (14,192)
  • +451 over 30 days · improving
  • +1,495 over 90 days
  • Next: Purple band at 15,000 — 1,037 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGGnomeFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,963 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning42
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLLWWWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +1.0pp headshot accuracy · −7ms reaction

Win rate up 30pp 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 -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 561ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 542ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

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).

Aim4.7
Utility4.3
Positioning4.2
Opening Duels0.1

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 79% 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

Counter-strafing. Only 69% 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

Aim4.7
Positioning4.2
Utility4.3
Mechanics4.1
Opening Duels0.7
Win Impact5.0

Composite 3.9/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time533ms−23ms
first ⅓ avg 557ms → last ⅓ avg 533ms
Headshot accuracy11.1%−0.1%
first ⅓ avg 11.3% → last ⅓ avg 11.1%

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 · nuke, 12 Sept →
25%Best headshot accuracy · 9–13 · ancient, 30 Aug →
375msFastest reaction time · 7–13 · dust2, 10 Sept →
13–1Biggest win · inferno, 24 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 73% over 11anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoS1812–667%-0.03
anubisD134–931%-0.02
mirageD124–833%-0.04
ancientC125–742%-0.03
nukeS118–373%0.03
dust2C104–640%-0.02
cacheB84–450%-0.02
train—42–250%-0.02
vertigo—40–40%-0.04
office—22–0100%0.00
boulder—21–150%0.00
overpass—10–10%-0.02
shelter—11–0100%0.02
fachwerk—10–10%0.06
italy—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
54%Win rate
0.81Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis367%0.8812.3
Inferno333%0.567.7
Vertigo250%0.7113.0
Nuke2100%1.4218.5
Overpass10%0.365.0

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.

11.5%Headshot accuracy
31.0%Accuracy (enemy spotted)
35.6%Spray accuracy
68.6%Counter-strafing
10.9°Preaim
532msReaction time
31.1%T opening success
34.3%CT opening success
0.44Enemies flashed / flash
1.6%Flash assists
10.03HE damage / grenade
5.25Flashes / 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 11.5423% — 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 0.4384 — 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 31.1005% — below the 40% mark we flag

Spend your practice time on Anubis

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.069%19 Oct →
mirage9–130.019%19 Oct →
inferno13–50.0116%15 Oct →
mirage13–50.0211%12 Oct →
train13–6-0.0113%9 Oct →
train11–13-0.028%9 Oct →
mirage13–6-0.0212%8 Oct →
mirage7–13-0.0415%30 Sept →
inferno13–10-0.039%22 Sept →
nuke13–90.0220%20 Sept →
anubis13–10-0.0712%14 Sept →
cache13–9-0.009%14 Sept →
anubis12–16-0.0213%12 Sept →
nuke13–40.1311%12 Sept →
ancient2–13-0.049%12 Sept →
anubis6–13-0.0710%12 Sept →
dust27–13-0.0320%10 Sept →
inferno5–130.0113%10 Sept →
ancient10–13-0.038%9 Sept →
inferno4–13-0.038%6 Sept →
dust213–11-0.047%6 Sept →
inferno13–90.0210%4 Sept →
anubis10–13-0.0111%4 Sept →
dust212–160.0319%4 Sept →
nuke13–50.0414%4 Sept →
inferno13–90.019%4 Sept →
anubis5–130.004%3 Sept →
office13–60.0210%3 Sept →
dust29–13-0.0613%3 Sept →
dust213–9-0.0412%3 Sept →
office13–11-0.017%3 Sept →
inferno13–10-0.019%3 Sept →
mirage7–13-0.097%3 Sept →
vertigo6–13-0.088%3 Sept →
anubis8–13-0.0111%30 Aug →
anubis13–60.0010%30 Aug →
inferno13–5-0.0012%30 Aug →
vertigo8–13-0.077%30 Aug →
dust22–5-0.020%30 Aug →
inferno13–2-0.048%30 Aug →
ancient9–13-0.0425%30 Aug →
inferno0–9-0.2210%30 Aug →
cache7–13-0.0611%29 Aug →
cache8–13-0.0512%24 Aug →
inferno13–1-0.0715%24 Aug →
nuke13–100.024%23 Aug →
inferno13–50.079%23 Aug →
overpass7–13-0.025%23 Aug →
anubis13–100.038%22 Aug →
mirage13–110.0013%22 Aug →
ancient13–2-0.026%22 Aug →
mirage7–13-0.0811%22 Aug →
ancient5–13-0.105%18 Aug →
shelter13–100.0215%16 Aug →
vertigo5–13-0.0010%16 Aug →
fachwerk12–120.067%16 Aug →
train7–13-0.0012%15 Aug →
nuke10–130.0514%15 Aug →
nuke13–90.0312%15 Aug →
dust213–40.0312%15 Aug →
dust213–11-0.018%14 Aug →
boulder13–60.096%14 Aug →
train13–7-0.038%14 Aug →
ancient16–13-0.0311%8 Aug →
mirage11–13-0.0810%7 Aug →
nuke8–13-0.057%7 Aug →
vertigo1–13-0.008%4 Aug →
boulder7–13-0.0811%4 Aug →
inferno9–7-0.063%4 Aug →
mirage13–10-0.0115%2 Aug →
cache7–13-0.019%2 Aug →
anubis15–15-0.0111%2 Aug →
inferno9–13-0.095%1 Aug →
dust25–13-0.046%1 Aug →
nuke13–8-0.006%1 Aug →
ancient13–9-0.0316%1 Aug →
cache16–130.0214%1 Aug →
nuke13–50.0812%1 Aug →
cache16–14-0.0110%1 Aug →
mirage6–13-0.0111%31 Jul →
italy12–12-0.066%31 Jul →
inferno9–50.0113%31 Jul →
ancient7–130.017%31 Jul →
dust28–13-0.0212%31 Jul →
mirage1–13-0.0817%31 Jul →
ancient13–9-0.0417%31 Jul →
cache13–90.0120%31 Jul →
ancient10–130.0314%30 Jul →
ancient11–130.047%29 Jul →
nuke13–50.0217%29 Jul →
ancient13–9-0.088%29 Jul →
nuke5–13-0.0420%29 Jul →
inferno8–13-0.044%21 Jul →
anubis2–13-0.106%21 Jul →
inferno13–80.0310%19 Jul →
cache12–12-0.0514%18 Jul →
anubis10–13-0.018%17 Jul →
inferno0–13-0.0313%17 Jul →
anubis6–130.0217%17 Jul →
anubis13–7-0.0212%17 Jul →

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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