gemcattt

gemcattt — CS2 Stats

GB76561198085100722[U:1:124834994]Steam profile ↗✓ No bans

142Tracked matches34%Win rate2024Tracked since
93Hours in CS
CSDB Rating1.4 LearningPositional Player
Premier CS Rating4,354Grey band · top ~81.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 May 2026 (176 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: 4,354 +953 10 Jan – 22 May · 5 days played
3,2884,354peak 4,35410 Jan22 May
4,354Peak Premier in tracked matches
52Days played since 2024-04-02

Premier CS Rating

  • At peak — 4,354
  • Next: Light Blue band at 5,000 — 646 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 Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate36.9%41.8%42.7%5.9% short
Shot accuracy0.0%12.2%11.2%11.2% short
Kill/death ratio0.380.980.990.61 short
Match win rate31.5%43.3%43.9%12.4% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgemcatttFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,354 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim11
Positioning18
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateWLWLWWLLLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.1pp headshot accuracy · −37ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 7%
  • Avg reaction 700ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 782ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 801ms

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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim1.1
Utility1.5
Positioning1.8
Opening Duels0.0
Clutch0.0

Limited utility dependence

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 77% 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. 794ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim1.1
Positioning1.8
Utility1.5
Mechanics4.2
Opening Duels0.0
Win Impact0.0

Composite 1.4/10 (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-0.07+0.02
first ⅓ avg -0.09 → last ⅓ avg -0.07
Reaction time783ms+6ms
first ⅓ avg 777ms → last ⅓ avg 783ms
Headshot accuracy8.6%+0.3%
first ⅓ avg 8.4% → last ⅓ avg 8.6%

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

0.02Best match rating · 13–5 · overpass, 5 Apr →
26%Best headshot accuracy · 13–5 · overpass, 5 Apr →
523msFastest reaction time · 13–11 · ancient, 23 Aug →
13–2Biggest win · inferno, 21 Feb →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 60% over 10dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoD186–1233%-0.07
overpassC176–1135%-0.08
anubisA106–460%-0.07
dust2D102–820%-0.08
ancientA95–456%-0.08
mirageD92–722%-0.10
nukeB63–350%-0.07
cacheA53–260%-0.05
train—32–167%-0.02
alpine—32–167%-0.08
vertigo—30–30%-0.10
warden—21–150%-0.10
stronghold—10–10%-0.11
palacio—10–10%-0.09
golden—11–0100%-0.06
agency—11–0100%-0.04
office—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,062Lifetime kills
0.38K/D
336Matches
31.5%Match win rate
36.9%Headshot %
0.0%Shot accuracy
330MVPs
93Hours (in match)
132Bombs planted
29Bombs defused

Most-used weapons

Lifetime map wins

294inferno
196vertigo
135nuke
129dust2
48train
6office
2ar_baggage
1ar_shoots

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

Faceit stats

Combat

6Matches
33%Win rate
0.29Avg K/D
20.1ADR
16%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%0.5810.5
Mirage10%0.071.0
Vertigo10%0.102.0
Ancient10%0.335.0
Inferno10%0.061.0

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.

8.6%Headshot accuracy
26.8%Accuracy (enemy spotted)
31.3%Spray accuracy
69.0%Counter-strafing
12.7°Preaim
794msReaction time
11.5%T opening success
15.6%CT opening success
0.30Enemies flashed / flash
1.5%Flash assists
4.52HE damage / grenade
2.42Flashes / 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 12.6621° — 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 8.5571% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 793.5603ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–6-0.066%24 May →
train11–13-0.0910%24 May →
nuke13–7-0.088%22 May →
anubis5–13-0.107%22 May →
overpass13–10-0.055%21 May →
ancient13–8-0.067%17 May →
dust21–13-0.0220%17 May →
inferno3–13-0.0714%17 May →
overpass14–16-0.0710%16 May →
cache9–13-0.069%15 May →
cache13–3-0.016%15 May →
cache13–6-0.047%30 Apr →
cache11–13-0.085%30 Apr →
mirage7–13-0.075%6 Mar →
overpass6–13-0.0511%21 Feb →
inferno13–2-0.055%21 Feb →
ancient3–13-0.130%21 Feb →
dust25–13-0.0925%21 Feb →
dust212–3-0.0714%21 Feb →
nuke7–13-0.0719%20 Feb →
anubis13–11-0.035%16 Feb →
mirage10–13-0.090%16 Feb →
inferno15–15-0.0714%13 Feb →
inferno7–13-0.057%12 Feb →
ancient7–13-0.062%12 Feb →
dust29–13-0.105%9 Feb →
overpass11–13-0.093%8 Feb →
anubis13–5-0.029%7 Feb →
inferno3–13-0.110%6 Feb →
nuke6–13-0.0923%6 Feb →
anubis11–13-0.059%6 Feb →
overpass1–13-0.0711%5 Feb →
anubis13–9-0.065%5 Feb →
warden3–13-0.1120%4 Feb →
alpine13–8-0.055%4 Feb →
alpine13–4-0.1113%3 Feb →
warden13–10-0.1013%3 Feb →
stronghold6–4-0.1111%3 Feb →
inferno10–13-0.120%2 Feb →
anubis16–14-0.0814%2 Feb →
overpass9–13-0.125%30 Jan →
ancient13–10-0.0511%30 Jan →
alpine3–13-0.090%30 Jan →
overpass10–13-0.089%26 Jan →
inferno16–12-0.078%26 Jan →
mirage4–13-0.1216%23 Jan →
ancient10–13-0.0715%23 Jan →
nuke13–8-0.0714%22 Jan →
anubis13–10-0.059%22 Jan →
anubis9–13-0.1022%12 Jan →
inferno8–13-0.0813%12 Jan →
vertigo9–13-0.060%12 Jan →
overpass10–13-0.0315%10 Jan →
train13–30.016%10 Jan →
nuke13–11-0.0613%10 Jan →
ancient13–10-0.0718%10 Jan →
palacio9–13-0.0917%5 Jan →
golden6–5-0.0610%5 Jan →
overpass13–5-0.0722%3 Jan →
agency13–10-0.046%3 Jan →
mirage4–13-0.0517%3 Jan →
overpass8–13-0.110%5 Dec →
inferno12–12-0.0316%19 Sept →
dust212–12-0.0316%19 Sept →
train13–30.018%19 Sept →
inferno6–130.0022%15 Sept →
overpass13–6-0.0510%5 Sept →
inferno7–13-0.090%3 Sept →
nuke6–13-0.084%2 Sept →
overpass13–10-0.0514%2 Sept →
inferno13–8-0.0825%28 Aug →
inferno2–13-0.095%25 Aug →
mirage2–13-0.110%25 Aug →
ancient13–11-0.116%23 Aug →
overpass9–13-0.130%23 Aug →
inferno16–12-0.0711%22 Aug →
inferno10–13-0.080%21 Aug →
mirage6–13-0.1011%20 Aug →
overpass8–13-0.117%19 Aug →
vertigo0–13-0.120%12 Aug →
inferno13–5-0.0315%27 Jun →
dust27–13-0.1111%27 Jun →
mirage13–9-0.1218%24 Jun →
anubis2–13-0.1110%24 Jun →
dust210–13-0.095%24 Jun →
dust24–13-0.1110%17 Apr →
inferno13–8-0.0116%8 Aug →
dust212–12-0.070%26 Jul →
office6–13-0.1425%26 Jul →
anubis13–6-0.090%26 Jul →
vertigo6–13-0.1110%21 Jul →
overpass8–13-0.116%21 Jul →
ancient4–13-0.093%6 Apr →
mirage13–8-0.110%6 Apr →
overpass13–50.0226%5 Apr →
dust213–7-0.0714%5 Apr →
overpass13–9-0.1110%5 Apr →
ancient13–7-0.100%5 Apr →
inferno6–13-0.119%5 Apr →
mirage8–13-0.136%2 Apr →

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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