Ultra G

Ultra G — CS2 Stats

JP76561199100331305[U:1:1140065577]Steam profile ↗community banned

111Tracked matches54%Win rate2025Tracked since
144Hours in CS
CSDB Rating1.9 LearningClutch Specialist
Premier CS Rating3,256Grey band · top ~86.2% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Jul 2026 (93 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: 3,256 +1,670 27 Jul – 29 Jul · 3 days played
1,5863,256peak 3,25627 Jul29 Jul
3,371Peak Premier in tracked matches
34Days played since 2026-02-13

Premier CS Rating

  • At peak — 3,256
  • Next: Light Blue band at 5,000 — 1,744 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate34.5%38.2%39.9%5.4% short
Shot accuracy2.3%3.6%7.0%4.7% short
Kill/death ratio0.760.830.920.16 short
Match win rate40.5%40.2%42.3%1.8% short

This profile sits below the typical Light Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGUltra GPREMIER3,256 · Grey bandcsdb.gg/stats

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Performance scores

Aim8
Positioning37
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLLLWWLWWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +2.1pp headshot accuracy · +95ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 769ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 723ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 675ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.7 against its own average).

Aim0.8
Utility3.5
Positioning3.7
Opening Duels0.0
Clutch10.0

Reliable in 1v1s

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 54% 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. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 47% 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

Aim0.8
Positioning3.7
Utility3.5
Mechanics0.0
Opening Duels0.0
Win Impact6.2

Composite 1.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time685ms+2ms
first ⅓ avg 683ms → last ⅓ avg 685ms
Headshot accuracy10.2%+2.5%
first ⅓ avg 7.8% → last ⅓ avg 10.2%

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

0.08Best match rating · 13–6 · dust2, 26 Jul →
23%Best headshot accuracy · 1–13 · dust2, 10 Jul →
250msFastest reaction time · 0–9 · mirage, 26 Jul →
13–1Biggest win · vertigo, 1 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 50% over 8mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
nukeB4420–2445%-0.04
mirageD196–1332%-0.03
dust2D124–833%-0.03
vertigoB84–450%-0.04
infernoC52–340%0.01
anubis—41–325%-0.06
ancient—31–233%-0.05
cache—21–150%-0.07
office—21–150%-0.06
train—10–10%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,708Lifetime kills
0.76K/D
573Matches
40.5%Match win rate · Top 50% of Grey band
34.5%Headshot %
2.3%Shot accuracy
1,334MVPs
144Hours (in match)
333Bombs planted
85Bombs defused

Most-used weapons

Lifetime map wins

765inferno
683nuke
603vertigo
247lake
225dust2
96train
47office
6cbble

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

Faceit stats

Combat

1Matches
100%Win rate
0.50Avg K/D
39.8ADR
12%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

10.1%Headshot accuracy
28.6%Accuracy (enemy spotted)
31.2%Spray accuracy
47.5%Counter-strafing
14.4°Preaim
686msReaction time
26.8%T opening success
19.8%CT opening success
0.38Enemies flashed / flash
3.8%Flash assists
3.49HE damage / grenade
11.58Flashes / 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 14.4261° — 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 10.1493% — 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 0.3826 — below the 0.5 mark we flag

    Grenade Lineups →
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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.045%22 Sept →
inferno7–90.045%7 Aug →
mirage7–13-0.0615%29 Jul →
mirage13–6-0.008%29 Jul →
dust213–3-0.0110%28 Jul →
mirage1–13-0.1015%28 Jul →
mirage13–40.0610%28 Jul →
inferno13–50.0218%28 Jul →
dust213–8-0.0413%28 Jul →
ancient11–30.036%27 Jul →
mirage13–80.0511%27 Jul →
mirage0–9-0.110%26 Jul →
dust213–60.0814%26 Jul →
inferno11–130.028%22 Jul →
dust27–130.0710%22 Jul →
mirage8–130.037%21 Jul →
mirage13–100.045%21 Jul →
inferno13–50.0110%20 Jul →
nuke5–13-0.063%20 Jul →
nuke12–12-0.0417%19 Jul →
nuke13–5-0.0815%15 Jul →
nuke7–13-0.0919%14 Jul →
nuke8–80.0110%14 Jul →
nuke13–4-0.019%13 Jul →
nuke13–110.018%13 Jul →
nuke9–13-0.0412%11 Jul →
dust24–13-0.1311%11 Jul →
mirage2–13-0.1015%11 Jul →
nuke12–12-0.057%11 Jul →
nuke13–7-0.0510%10 Jul →
nuke13–11-0.054%10 Jul →
nuke4–13-0.045%10 Jul →
dust21–13-0.0823%10 Jul →
cache3–13-0.0621%10 Jul →
nuke5–130.0410%10 Jul →
nuke13–50.018%10 Jul →
nuke2–13-0.0414%9 Jul →
nuke13–2-0.056%9 Jul →
nuke6–130.017%9 Jul →
mirage0–13-0.0619%9 Jul →
mirage2–13-0.070%9 Jul →
nuke5–13-0.028%7 Jul →
nuke6–11-0.056%7 Jul →
nuke13–6-0.048%7 Jul →
nuke1–130.0210%6 Jul →
nuke13–11-0.0018%6 Jul →
cache13–9-0.0714%5 Jul →
nuke7–13-0.060%5 Jul →
nuke13–9-0.0410%5 Jul →
nuke12–12-0.099%5 Jul →
dust28–13-0.0914%5 Jul →
mirage13–11-0.036%5 Jul →
vertigo0–13-0.060%5 Jul →
nuke13–60.0410%4 Jul →
nuke12–12-0.066%4 Jul →
nuke13–8-0.130%4 Jul →
nuke13–7-0.0217%4 Jul →
vertigo13–1-0.055%1 Jul →
vertigo13–5-0.063%1 Jul →
vertigo4–13-0.0811%30 Jun →
office13–10-0.032%30 Jun →
vertigo13–8-0.039%30 Jun →
nuke13–9-0.075%30 Jun →
nuke13–8-0.065%30 Jun →
vertigo12–12-0.035%30 Jun →
nuke6–13-0.1013%30 Jun →
nuke9–13-0.064%30 Jun →
nuke13–8-0.083%30 Jun →
office2–6-0.090%29 Jun →
nuke9–4-0.1016%29 Jun →
vertigo12–12-0.018%29 Jun →
nuke13–100.044%28 Jun →
nuke8–13-0.1114%28 Jun →
vertigo13–100.0011%27 Jun →
nuke5–13-0.058%27 Jun →
nuke13–7-0.087%27 Jun →
nuke8–9-0.0112%26 Jun →
nuke10–13-0.025%25 Jun →
nuke13–80.038%25 Jun →
dust26–13-0.0517%17 Jun →
ancient10–13-0.130%17 Jun →
anubis7–13-0.074%17 Jun →
mirage10–130.018%24 Feb →
anubis16–14-0.089%21 Feb →
mirage9–13-0.0712%21 Feb →
mirage1–13-0.076%21 Feb →
mirage8–13-0.0615%21 Feb →
inferno1–13-0.044%21 Feb →
mirage6–13-0.066%21 Feb →
dust28–130.0113%20 Feb →
mirage13–5-0.054%20 Feb →
dust213–2-0.0313%20 Feb →
dust23–13-0.055%16 Feb →
anubis8–13-0.053%15 Feb →
dust28–13-0.067%15 Feb →
ancient9–13-0.0510%15 Feb →
nuke10–13-0.058%15 Feb →
train5–13-0.082%15 Feb →
mirage1–13-0.0016%13 Feb →
anubis0–8-0.050%13 Feb →

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 →

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