Gomi

Gomi — CS2 Stats

76561198292851740[U:1:332586012]Steam profile ↗✓ No bans

310Tracked matches45%Win rate2024Tracked since
250Hours in CS10Hrs last 2 wks
CSDB Rating4.0 Developing
Premier CS Rating13,878Blue band · top ~34.3% of ranked players (population est.)
CSDB Leaderboard#19338 of 29395 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate47.5%42.5%44.2%above
Shot accuracy0.0%10.9%11.2%11.2% short
Kill/death ratio0.820.991.040.21 short
Match win rate40.0%44.2%45.3%5.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGomiFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,878 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning43
Utility35

0–100 skill scores via Leetify.

Recent form

COLD45532Last 10045%Win rateLLWLLLWLWL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim5.3
Aggression2.3
Utility3.5
Positioning4.3
Opening Duels0.0
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 40% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim5.3
Positioning4.3
Utility3.5
Mechanics5.3
Opening Duels1.2
Win Impact3.3

Composite 4.0/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time606ms+14ms
first ⅓ avg 592ms → last ⅓ avg 606ms
Headshot accuracy17.8%+1.5%
first ⅓ avg 16.3% → last ⅓ avg 17.8%

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.

Highlights

0.13Best rating — ancient 13–4
134Biggest win — ancient
4Longest win streak
L2Current streak
88In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 50% over 16ancientWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B38182047%-0.01
ancientD1851328%-0.02
mirageB168850%-0.02
infernoB115645%-0.04
nukeC94544%-0.04
anubis43175%-0.02
cache21150%-0.02
vertigo1010%0.02
train110100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,805Lifetime kills
0.82K/D
460Matches
40.0%Match win rate
47.5%Headshot % · Top 50% of Level 4 players
0.0%Shot accuracy
731MVPs
159Hours (in match)
392Bombs planted
89Bombs defused

Most-used weapons

Lifetime map wins

868dust2
661vertigo
386nuke
362inferno
13office
13train
1ar_shoots

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

Faceit stats

Combat

65Matches
48%Win rate
1.09Avg K/D
72.0ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo2948%1.1417.3
Anubis944%1.0313.8
Mirage850%1.1514.4
Ancient757%0.8813.0
Inferno450%1.3814.8
Overpass30%0.8315.3
Nuke333%0.9817.0
Dust22100%1.0715.0

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.

18.2%Headshot accuracy
30.2%Accuracy (enemy spotted)
32.7%Spray accuracy
73.9%Counter-strafing
10.1°Preaim
599msReaction time
16.5%T opening success
39.9%CT opening success
0.54Enemies flashed / flash
4.1%Flash assists
6.59HE damage / grenade
3.77Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7737 — below the 4 mark we flag

    Grenade Lineups
  2. 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 16.4501% — below the 40% mark we flag

Spend your practice time on Ancient

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0420%23 Aug
mirage5–13-0.0414%23 Aug
ancient13–80.0120%23 Aug
ancient14–16-0.0717%22 Aug
dust29–130.0021%22 Aug
ancient6–130.0216%22 Aug
anubis13–60.0016%22 Aug
dust21–13-0.0912%22 Aug
ancient13–40.1313%16 Aug
inferno5–13-0.0726%16 Aug
dust213–7-0.0321%16 Aug
dust21–13-0.0517%16 Aug
nuke16–12-0.0415%16 Aug
ancient13–60.0011%16 Aug
anubis16–12-0.0413%9 Aug
mirage13–9-0.0620%9 Aug
cache14–16-0.0229%7 Aug
ancient13–16-0.0319%7 Aug
dust28–13-0.0314%7 Aug
inferno13–7-0.017%7 Aug
mirage13–110.0031%7 Aug
inferno16–14-0.0114%7 Aug
ancient5–13-0.0628%7 Aug
dust211–130.0215%7 Aug
nuke13–8-0.0613%2 Aug
dust212–12-0.0120%4 Jul
dust29–13-0.055%25 Jun
dust24–13-0.0314%25 Jun
dust213–90.0531%22 Jun
dust27–13-0.0629%19 Jun
dust27–13-0.0116%19 Jun
dust213–9-0.0114%19 Jun
mirage5–130.0117%18 Jun
ancient11–130.0223%1 Jun
dust213–60.0319%31 May
dust213–11-0.0311%31 May
dust28–13-0.0420%31 May
dust213–10-0.0120%25 May
ancient10–13-0.0725%15 May
nuke13–11-0.0422%15 May
inferno9–13-0.0820%13 May
anubis9–13-0.0217%13 May
anubis13–9-0.0317%13 May
mirage10–13-0.0233%10 May
ancient13–6-0.0918%10 May
vertigo4–130.0212%1 May
dust213–90.0028%1 May
mirage13–16-0.0633%1 May
mirage13–11-0.0412%1 May
dust213–80.1034%1 May
mirage9–13-0.0413%1 May
dust213–10-0.0117%1 May
dust26–13-0.0128%1 May
dust213–11-0.0129%1 May
cache13–10-0.0229%1 May
dust213–100.0411%1 May
mirage13–90.0525%1 May
ancient7–13-0.0112%1 May
ancient9–13-0.0129%1 May
dust213–9-0.0132%30 Apr
nuke3–13-0.1429%25 Apr
dust27–130.0326%25 Apr
nuke10–13-0.0123%25 Apr
ancient11–13-0.0215%25 Apr
mirage8–13-0.0315%25 Apr
dust24–130.0128%25 Apr
dust213–70.0723%25 Apr
dust23–13-0.0313%25 Apr
inferno9–13-0.0613%27 Feb
inferno11–130.0125%26 Feb
dust211–13-0.0616%6 Feb
dust213–9-0.0316%21 Dec
dust25–13-0.0411%27 Oct
mirage6–13-0.0812%25 Oct
ancient9–13-0.0613%25 Oct
train13–100.009%25 Oct
dust210–13-0.0223%25 Oct
mirage16–12-0.0119%25 Oct
nuke7–13-0.0911%25 Oct
dust213–11-0.079%25 Oct
ancient5–13-0.1121%19 Oct
dust213–8-0.0230%19 Oct
ancient13–9-0.0516%18 Oct
dust211–13-0.0221%9 Oct
ancient0–11-0.0121%7 Sept
mirage13–6-0.0015%7 Sept
nuke8–13-0.0112%30 Aug
dust29–13-0.0416%30 Aug
ancient15–15-0.0013%29 Aug
inferno13–6-0.0119%29 Aug
dust213–10-0.039%29 Aug
inferno13–10-0.078%29 Aug
inferno10–13-0.0516%24 Aug
mirage13–100.0218%23 Aug
mirage13–16-0.0116%18 Aug
dust213–50.0224%18 Aug
nuke8–130.0616%16 Aug
inferno13–11-0.0316%16 Aug
mirage13–8-0.0223%16 Aug
nuke13–9-0.0316%16 Aug

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 →