JSt.

JSt. — CS2 Stats

DE76561197990809916[U:1:30544188]Steam profile ↗✓ No bans

764Tracked matches67%Win rate2021Tracked since
927Hours in CS
CSDB Rating3.9 LearningSupport
Premier CS Rating10,799Blue band · top ~50.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (20 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.

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. 31 days played since 22 Jun 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: 10,799 +68 22 Jun1 Sept · 22 days played
7,53010,799peak 10,79922 Jun1 Sept
10,922Peak Premier in tracked matches
31Days played since 2026-06-22

Premier CS Rating

  • At peak — 10,799
  • +3,214 over 30 days · improving
  • Next: Purple band at 15,000 4,201 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=20,242), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.2%41.9%44.3%10.1% short
Shot accuracy10.0%9.6%11.8%1.8% short
Kill/death ratio0.810.981.030.22 short
Match win rate36.6%43.8%45.2%8.6% short

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

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

Share this profile

CSDB.GGJSt.PREMIER10,799 · Blue 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

Aim39
Positioning49
Utility52

0–100 skill scores via Leetify.

Recent form

HOT49483Last 10049%Win rateLWWWWWWWLW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · +26ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 645ms

Last 10

  • 82 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 594ms

Last 20

  • 137 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 581ms

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 (+1.1 against its own average).

Aim3.9
Utility5.2
Positioning4.9
Opening Duels2.2

Effective 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

NiKo

Plays most like NiKo 68% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% 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

Aim3.9
Positioning4.9
Utility5.2
Mechanics0.5
Opening Duels1.3
Win Impact10.0

Composite 3.9/10 (Learning), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time589ms−33ms
first ⅓ avg 621ms → last ⅓ avg 589ms
Headshot accuracy8.8%−3.1%
first ⅓ avg 11.9% → last ⅓ avg 8.8%

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.

Personal bests

0.12Best match rating · 13–3 · inferno, 29 Aug
25%Best headshot accuracy · 5–13 · dust2, 28 Aug
438msFastest reaction time · 5–13 · dust2, 28 Aug
13–1Biggest win · dust2, 20 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
25In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B40182245%-0.02
infernoS1711665%-0.01
ancientD123925%-0.02
anubisS118373%-0.01
cacheA85363%-0.01
mirageC52340%0.01
nukeC52340%-0.02
overpass2020%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,880Lifetime kills
0.81K/D
2,517Matches
36.6%Match win rate
34.2%Headshot %
10.0%Shot accuracy · Top 50% of Blue band
3,424MVPs
927Hours (in match)
2,740Bombs planted
482Bombs defused

Most-used weapons

Lifetime map wins

10,152dust2
2,617inferno
1,575nuke
362train
228vertigo
97aztec
45safehouse
33assault

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.

8.4%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.0%Spray accuracy
52.4%Counter-strafing
8.8°Preaim
592msReaction time
34.5%T opening success
36.0%CT opening success
0.76Enemies flashed / flash
6.5%Flash assists
8.75HE damage / grenade
5.56Flashes / 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 8.4261% — 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 34.484% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0715%1 Sept
mirage13–20.066%1 Sept
anubis13–9-0.039%31 Aug
inferno13–10-0.049%31 Aug
anubis13–50.043%31 Aug
anubis13–8-0.054%31 Aug
dust213–5-0.0116%31 Aug
dust213–9-0.018%29 Aug
inferno13–16-0.050%29 Aug
dust213–6-0.0318%29 Aug
inferno13–30.127%29 Aug
ancient11–130.0114%29 Aug
dust25–13-0.069%28 Aug
inferno16–13-0.035%28 Aug
dust25–13-0.0525%28 Aug
ancient10–13-0.032%27 Aug
dust213–10-0.0014%27 Aug
dust214–16-0.125%21 Aug
inferno13–70.066%21 Aug
ancient13–9-0.0110%21 Aug
cache13–110.069%21 Aug
dust212–160.013%21 Aug
ancient5–13-0.035%20 Aug
dust213–20.0213%20 Aug
dust213–10.079%20 Aug
inferno13–7-0.019%20 Aug
ancient6–13-0.066%20 Aug
dust213–8-0.026%19 Aug
cache13–10-0.0713%19 Aug
dust213–20.068%19 Aug
inferno7–13-0.058%19 Aug
dust26–13-0.058%19 Aug
dust28–13-0.0513%19 Aug
ancient13–11-0.0213%18 Aug
mirage13–80.087%18 Aug
cache10–13-0.068%18 Aug
inferno14–16-0.0412%18 Aug
dust213–10-0.0118%18 Aug
dust26–13-0.028%17 Aug
inferno13–5-0.0524%17 Aug
anubis6–13-0.054%17 Aug
anubis13–100.027%17 Aug
dust25–13-0.0210%14 Aug
nuke13–9-0.0110%14 Aug
dust215–15-0.0715%14 Aug
dust213–8-0.0518%14 Aug
mirage7–13-0.0011%14 Aug
nuke13–6-0.035%9 Aug
dust213–10-0.049%9 Aug
dust29–130.0414%9 Aug
cache16–130.0210%9 Aug
dust213–7-0.1013%9 Aug
mirage6–13-0.0013%6 Aug
cache12–16-0.0416%6 Aug
nuke11–13-0.0820%5 Aug
dust210–130.0612%5 Aug
ancient13–10-0.0213%4 Aug
inferno13–40.0115%4 Aug
dust214–160.0117%3 Aug
dust213–100.0115%3 Aug
anubis16–12-0.0413%2 Aug
nuke1–13-0.025%2 Aug
dust28–13-0.0312%2 Aug
inferno9–13-0.0711%1 Aug
ancient6–130.0110%1 Aug
dust27–130.0212%1 Aug
dust213–40.0718%1 Aug
anubis7–130.0116%1 Aug
dust213–5-0.0017%1 Aug
ancient8–13-0.0116%1 Aug
dust213–7-0.0216%30 Jul
anubis13–100.0715%30 Jul
dust22–13-0.1012%30 Jul
inferno13–90.0214%29 Jul
ancient7–13-0.0315%29 Jul
cache13–50.0310%29 Jul
cache15–15-0.057%27 Jul
mirage9–13-0.0610%27 Jul
inferno9–130.006%26 Jul
cache13–40.0510%26 Jul
dust23–130.037%26 Jul
dust215–15-0.0922%25 Jul
dust27–13-0.085%24 Jul
inferno16–120.019%23 Jul
dust213–70.0413%19 Jul
dust28–13-0.054%19 Jul
overpass9–13-0.0810%6 Jul
anubis13–8-0.017%4 Jul
dust213–80.0518%4 Jul
nuke10–130.0514%4 Jul
ancient12–160.0411%4 Jul
inferno13–3-0.037%4 Jul
inferno13–70.0115%28 Jun
ancient7–13-0.059%28 Jun
anubis6–13-0.0118%27 Jun
dust23–13-0.0517%27 Jun
dust210–13-0.0510%27 Jun
overpass2–5-0.0314%27 Jun
anubis13–7-0.029%22 Jun
inferno7–13-0.0213%22 Jun

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 →