JayCS

JayCS — CS2 Stats

76561198269304553[U:1:309038825]Steam profile ↗✓ No bans

801Tracked matches61%Win rate2020Tracked since
2,791Hours in CS10Hrs last 2 wks
CSDB Rating6.5 SolidClutch Specialist
Premier CS Rating24,999Top 25% of 205,416 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22109 of 252496 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 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: 24,999 +760 27 Aug – 12 Oct · 7 days played
23,70224,999peak 24,99927 Aug12 Oct
24,999Peak Premier in tracked matches
28Days played since 2026-08-25

Premier CS Rating

  • At peak — 24,999
  • +937 over 30 days · improving
  • Next: Red band at 25,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate53.6%46.9%49.3%above
Shot accuracy15.7%13.0%13.4%above
Kill/death ratio1.071.081.120.05 short
Match win rate47.5%46.7%48.5%1.0% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJayCSPREMIER24,999 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

HOT54–35–11Last 10054%Win rateWLLWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +1.6pp headshot accuracy · −6ms 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 0.08
  • Avg headshot accuracy 30%
  • Avg reaction 689ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 633ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 636ms

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 (+3.9 against its own average).

Aim7.3
Utility5.5
Positioning5.3
Opening Duels2.0
Clutch9.4

Effective flashesReliable 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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 57% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 638ms 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

Aim7.3
Positioning5.3
Utility5.5
Mechanics6.9
Opening Duels4.0
Win Impact8.6

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time626ms+5ms
first ⅓ avg 621ms → last ⅓ avg 626ms
Headshot accuracy27.4%−2.0%
first ⅓ avg 29.4% → last ⅓ avg 27.4%

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

0.18Best match rating · 13–3 · ancient, 15 Oct →
60%Best headshot accuracy · 13–4 · dust2, 1 Oct →
406msFastest reaction time · 13–3 · ancient, 15 Oct →
13–1Biggest win · dust2, 31 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
3–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 67% over 6mirageWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
dust2A2817–1161%0.03
mirageC208–1240%0.04
infernoA116–555%0.00
cacheA95–456%0.00
ancientB84–450%0.04
anubisS64–267%0.01
trainS64–267%0.01
vertigoC52–340%0.03
nuke—43–175%0.01
office—21–150%0.04
debris—10–10%-0.17

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,671Lifetime kills
1.07K/D
5,785Matches
47.5%Match win rate · Top 50% of Pink band
53.6%Headshot % · Top 25% of Pink band
15.7%Shot accuracy · Top 50% of Pink band
11,125MVPs
2,011Hours (in match)
3,388Bombs planted
881Bombs defused

Most-used weapons

AK-4723,505
AWP9,076
SSG 082,394
UMP-451,920
MAC-101,697
AUG1,520

Lifetime map wins

6,073inferno
4,825dust2
3,182nuke
2,277vertigo
1,754train
1,648cbble
846office
537lake

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

Faceit stats

Combat

301Matches
47%Win rate
0.89Avg K/D
82.2ADR
72%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2580%1.4818.2
Inferno475%0.8013.5
Ancient10%0.9212.0
Nuke10%0.315.0
Cache1100%1.4227.0
Anubis1100%1.6221.0

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.

28.2%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.2%Spray accuracy
81.1%Counter-strafing
9.5°Preaim
638msReaction time
57.2%T opening success
35.1%CT opening success
0.73Enemies flashed / flash
8.6%Flash assists
10.33HE damage / grenade
6.67Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.0534% — below the 40% mark we flag

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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.1830%17 Oct →
cache6–13-0.0024%17 Oct →
dust25–130.0235%15 Oct →
ancient13–30.1834%15 Oct →
dust213–2-0.0028%13 Oct →
dust213–40.0817%13 Oct →
dust213–20.0325%13 Oct →
dust213–2-0.0333%13 Oct →
dust213–10-0.0216%12 Oct →
nuke13–7-0.0228%12 Oct →
cache13–9-0.0339%12 Oct →
cache13–2-0.0021%12 Oct →
ancient8–130.0010%12 Oct →
mirage13–90.1229%11 Oct →
dust212–12-0.0321%9 Oct →
dust25–130.0825%9 Oct →
anubis3–13-0.0926%4 Oct →
anubis13–4-0.0615%3 Oct →
train11–130.0131%3 Oct →
mirage13–70.0237%3 Oct →
train3–13-0.078%2 Oct →
ancient12–12-0.0617%2 Oct →
inferno4–13-0.0129%2 Oct →
mirage11–13-0.0918%2 Oct →
mirage7–13-0.0330%1 Oct →
inferno10–13-0.0251%1 Oct →
anubis13–30.1121%1 Oct →
dust213–40.0060%1 Oct →
train13–100.0248%1 Oct →
anubis13–9-0.0133%30 Sept →
ancient13–90.0012%30 Sept →
inferno13–80.0631%28 Sept →
train13–80.0623%28 Sept →
mirage6–130.1019%27 Sept →
vertigo12–120.0427%27 Sept →
vertigo12–120.0422%27 Sept →
cache13–30.0541%25 Sept →
mirage13–70.0130%25 Sept →
dust213–60.0924%11 Sept →
inferno13–8-0.0227%11 Sept →
inferno13–50.0624%11 Sept →
mirage12–120.1317%11 Sept →
cache13–30.0825%11 Sept →
inferno9–13-0.0319%8 Sept →
inferno13–9-0.0218%8 Sept →
cache5–13-0.0124%8 Sept →
dust27–13-0.0323%7 Sept →
dust29–130.0533%7 Sept →
inferno4–9-0.0850%7 Sept →
mirage13–90.0328%6 Sept →
dust26–13-0.0744%6 Sept →
mirage13–16-0.0715%6 Sept →
nuke13–50.0932%5 Sept →
mirage7–130.1232%5 Sept →
mirage13–100.0225%5 Sept →
mirage12–120.1122%5 Sept →
mirage13–80.0133%5 Sept →
ancient5–130.0728%4 Sept →
office13–50.0419%3 Sept →
office11–130.0523%3 Sept →
dust213–7-0.0029%3 Sept →
nuke13–6-0.0218%3 Sept →
mirage12–120.0321%3 Sept →
mirage13–5-0.0118%2 Sept →
anubis12–120.0917%2 Sept →
mirage13–70.1724%2 Sept →
dust211–130.0532%2 Sept →
dust213–100.0923%2 Sept →
debris2–9-0.1720%2 Sept →
dust213–10.1239%31 Aug →
inferno13–80.0524%31 Aug →
mirage3–130.0432%31 Aug →
vertigo8–13-0.0235%31 Aug →
inferno13–11-0.0121%31 Aug →
mirage12–120.0323%31 Aug →
cache13–11-0.0233%31 Aug →
dust29–130.0033%31 Aug →
train13–10.0531%29 Aug →
vertigo13–70.0723%29 Aug →
cache3–13-0.0820%29 Aug →
inferno12–120.0836%29 Aug →
nuke9–13-0.0240%29 Aug →
ancient13–70.0444%29 Aug →
mirage7–13-0.0326%29 Aug →
dust213–80.0316%29 Aug →
dust213–100.0742%28 Aug →
mirage12–120.1125%28 Aug →
dust24–6-0.0243%27 Aug →
ancient4–13-0.0813%27 Aug →
dust213–60.0312%27 Aug →
dust211–130.0226%27 Aug →
dust213–80.0233%27 Aug →
dust213–7-0.0248%26 Aug →
vertigo13–110.0526%26 Aug →
cache7–130.0340%26 Aug →
anubis13–30.0529%26 Aug →
train13–40.0335%26 Aug →
dust25–13-0.0230%26 Aug →
dust213–100.0723%25 Aug →
dust213–30.1330%25 Aug →

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 →

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