gelly

gelly — CS2 Stats

US76561199010167927[U:1:1049902199]Steam profile ↗✓ No bans

616Tracked matches43%Win rate2020Tracked since
958Hours in CS9Hrs last 2 wks
CSDB Rating3.4 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 616
+4.9ppWin rate · 37.9% → 42.9%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 11 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 7,323 +14 12 May23 Jun · 5 days played
6,9377,402peak 7,40212 May23 Jun
7,867Peak Premier in tracked matches
43Days played since 2026-05-11

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches36−3
Win rate33%17%+17pp
K/D0.950.74+0.20
Headshot %45%33%+13pp

Measured 18 Sep 202624 Sep 2026; previous 11 Sep 2026 → 18 Sep 2026.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches20
Win rate30%
K/D0.74
Headshot %39%

Measured 29 Aug 202624 Sep 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

Aim25
Positioning39
Utility46

0–100 skill scores via Leetify.

Recent form

COLD355411Last 10035%Win rateTWLLWLLTWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.1pp headshot accuracy · −59ms 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

  • 221 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 652ms

Last 10

  • 352 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 656ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 686ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim2.5
Utility4.6
Positioning3.9
Opening Duels1.5

Strong CT-side openerEffective flashes

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 64% 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

T-side openings. Opening success drops from 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 679ms 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

Aim2.5
Positioning3.9
Utility4.6
Mechanics5.1
Opening Duels2.0
Win Impact2.6

Composite 3.4/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time682ms−6ms
first ⅓ avg 687ms → last ⅓ avg 682ms
Headshot accuracy10.7%−1.8%
first ⅓ avg 12.5% → last ⅓ avg 10.7%

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 · 13–6 · nuke, 6 Sept
24%Best headshot accuracy · 12–12 · mirage, 1 Jun
375msFastest reaction time · 1–3 · nuke, 10 Aug
13–1Biggest win · dust2, 13 May

Across the last 100 tracked matches.

Highlights

3Longest win streak
47In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 56% over 9ancientWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC2291341%-0.02
mirageC1871139%-0.02
dust2D1851328%-0.02
infernoB147750%-0.03
anubisA95456%-0.03
cacheD92722%-0.03
ancientD6060%-0.02
train2020%-0.04
shelter1010%-0.06
alpine1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,691Lifetime kills
0.91K/D
1,641Matches
34.7%Match win rate
29.1%Headshot %
12.1%Shot accuracy · Top 50% of tracked players
1,673MVPs
539Hours (in match)
919Bombs planted
185Bombs defused

Most-used weapons

Lifetime map wins

4,653dust2
1,207inferno
1,115nuke
308train
246vertigo
61office

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.

10.9%Headshot accuracy
28.7%Accuracy (enemy spotted)
28.0%Spray accuracy
72.9%Counter-strafing
11.8°Preaim
679msReaction time
27.7%T opening success
45.9%CT opening success
0.71Enemies flashed / flash
5.9%Flash assists
4.87HE damage / grenade
5.51Flashes / 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 10.9323% — below the 15% mark we flag

    Aim Training
  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 27.7133% — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno15–15-0.097%24 Sept
mirage13–90.069%23 Sept
anubis5–130.035%13 Sept
mirage3–13-0.0210%13 Sept
nuke13–110.0612%13 Sept
cache4–13-0.1216%11 Sept
mirage10–13-0.103%11 Sept
dust212–12-0.0712%11 Sept
inferno13–10-0.033%11 Sept
nuke7–13-0.0311%9 Sept
dust24–130.0318%6 Sept
cache6–13-0.0116%6 Sept
nuke13–60.1313%6 Sept
mirage5–13-0.126%29 Aug
nuke13–5-0.0216%29 Aug
ancient6–13-0.0610%29 Aug
dust213–7-0.0114%29 Aug
dust211–13-0.0812%29 Aug
nuke13–11-0.068%24 Aug
mirage10–13-0.026%23 Aug
dust23–130.0116%23 Aug
mirage13–110.0014%15 Aug
dust25–13-0.0615%15 Aug
inferno13–8-0.0313%15 Aug
nuke13–4-0.0214%15 Aug
mirage13–8-0.0414%11 Aug
ancient11–13-0.0012%11 Aug
inferno7–13-0.086%10 Aug
dust213–10-0.0314%10 Aug
nuke1–3-0.190%10 Aug
dust28–130.0414%9 Aug
inferno4–13-0.057%9 Aug
ancient6–13-0.016%4 Aug
dust28–130.0512%4 Aug
mirage9–130.1012%4 Aug
cache7–13-0.024%1 Aug
nuke13–100.0810%1 Aug
dust24–13-0.0611%1 Aug
inferno13–20.1310%31 Jul
mirage12–12-0.028%27 Jul
dust213–40.039%27 Jul
anubis5–13-0.0810%24 Jul
inferno13–100.029%24 Jul
cache11–13-0.0312%24 Jul
nuke13–6-0.022%24 Jul
inferno2–13-0.0323%19 Jul
mirage4–130.079%19 Jul
cache6–130.019%19 Jul
dust28–13-0.048%19 Jul
dust212–12-0.087%17 Jul
ancient12–12-0.068%17 Jul
mirage13–7-0.043%15 Jul
nuke13–30.0119%15 Jul
nuke7–13-0.008%14 Jul
train8–13-0.0112%11 Jul
shelter5–13-0.0610%11 Jul
nuke13–80.0315%11 Jul
inferno6–13-0.0713%11 Jul
mirage13–3-0.0618%3 Jul
dust213–10-0.0610%3 Jul
inferno3–13-0.1014%24 Jun
cache13–90.049%24 Jun
inferno13–5-0.032%23 Jun
mirage9–130.0210%23 Jun
anubis13–4-0.0210%23 Jun
nuke11–13-0.034%23 Jun
anubis12–160.0114%13 Jun
nuke9–13-0.0718%11 Jun
cache12–12-0.0217%10 Jun
nuke12–120.0116%10 Jun
ancient9–130.0216%9 Jun
nuke0–12-0.024%9 Jun
anubis13–10-0.1311%6 Jun
train9–13-0.088%6 Jun
mirage13–7-0.056%1 Jun
mirage12–12-0.0324%1 Jun
nuke6–13-0.048%31 May
anubis5–13-0.0424%31 May
cache13–9-0.062%31 May
nuke0–2-0.070%31 May
mirage4–13-0.1014%30 May
inferno11–130.0215%30 May
anubis13–10-0.0318%29 May
ancient1–13-0.0115%28 May
nuke4–13-0.0812%28 May
dust26–13-0.0122%28 May
dust212–12-0.0310%26 May
nuke12–120.0213%22 May
inferno13–11-0.0114%22 May
alpine9–13-0.0711%19 May
anubis13–7-0.0611%18 May
inferno13–3-0.0212%18 May
dust23–13-0.055%13 May
mirage13–3-0.0213%13 May
nuke7–13-0.0312%13 May
dust213–10.0418%13 May
nuke5–13-0.028%13 May
anubis13–90.049%13 May
mirage5–13-0.088%12 May
cache12–12-0.0819%11 May

Match data via Leetify.

Recent teammates

Milestones

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