Jimmi ngủ yên

Jimmi ngủ yên — CS2 Stats

VN76561199091596347[U:1:1131330619]Steam profile ↗✓ No bans

1,123Tracked matches66%Win rate2021Tracked since
1,845Hours in CS14Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating16,727Purple band · top ~21.5% of ranked players (population est.)
WingmanMaster Guardian Elite
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.

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. 23 days played since 13 Aug 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: 16,727 +3,143 14 Aug20 Sept · 16 days played
13,46817,404peak 17,40414 Aug20 Sept
17,404Peak Premier in tracked matches
23Days played since 2026-08-13

Premier CS Rating

  • 677 below peak (17,404)
  • +1,299 over 30 days · improving
  • Next: Pink band at 20,000 3,273 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches48
Win rate54%
K/D1.16
Headshot %48%

Measured 28 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate45.1%44.3%46.9%1.8% short
Shot accuracy7.0%11.8%13.0%6.0% short
Kill/death ratio0.931.031.080.15 short
Match win rate45.6%45.2%46.7%1.1% short

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

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

Share this profile

CSDB.GGJimmi ngủ yênPREMIER16,727 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning75
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY67294Last 10067%Win rateLLLWWLWWWW

Last 10 vs previous 10: +10pp win rate · −0.11 avg rating · −3.1pp headshot accuracy · +56ms 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

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 667ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 620ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 592ms

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 PlayerPositioning stands above the rest of this profile (+2.7 against its own average).

Aim6.9
Utility4.9
Positioning7.5
Opening Duels6.8
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

donk

Plays most like donk 84% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim6.9
Positioning7.5
Utility4.9
Mechanics3.6
Opening Duels6.7
Win Impact10.0

Composite 6.5/10 (Solid), 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 rating0.04−0.02
first ⅓ avg 0.06 → last ⅓ avg 0.04
Reaction time588ms+31ms
first ⅓ avg 558ms → last ⅓ avg 588ms
Headshot accuracy17.1%−0.5%
first ⅓ avg 17.6% → last ⅓ avg 17.1%

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

0.37Best match rating · 13–5 · nuke, 16 Aug
46%Best headshot accuracy · 9–13 · inferno, 31 Aug
406msFastest reaction time · 5–13 · dust2, 13 Sept
13–0Biggest win · cache, 18 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
77In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 88% over 8infernoWeakest map · 54% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA1911858%0.02
dust2A1811761%0.04
ancientA148657%0.08
infernoB137654%0.03
nukeS1210283%0.11
anubisS87188%0.07
cacheS76186%0.08
trainS54180%0.09
vertigo43175%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (54% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,584Lifetime kills
0.93K/D
2,176Matches
45.6%Match win rate · Top 50% of Purple band
45.1%Headshot % · Top 50% of Purple band
7.0%Shot accuracy
5,288MVPs
3,924Hours (in match)
2,909Bombs planted
551Bombs defused

Most-used weapons

Lifetime map wins

6,022dust2
4,739inferno
1,702nuke
546vertigo
383train
16office
8ar_shoots
4lake

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

Faceit stats

Combat

10Matches
40%Win rate
0.67Avg K/D
71.0ADR
50%Headshot %

Clutches & streaks

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

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.6210.0
Dust2333%0.467.3
Mirage20%0.5610.5
Nuke2100%1.1921.5

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.

16.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.0%Spray accuracy
66.1%Counter-strafing
8.5°Preaim
586msReaction time
52.6%T opening success
61.0%CT opening success
0.59Enemies flashed / flash
10.8%Flash assists
8.20HE damage / grenade
4.26Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0711%20 Sept
inferno6–9-0.0714%20 Sept
mirage9–13-0.087%19 Sept
cache13–5-0.0511%17 Sept
mirage13–11-0.0410%15 Sept
dust25–13-0.1013%13 Sept
dust213–9-0.0817%13 Sept
train13–70.0414%11 Sept
ancient13–100.089%11 Sept
inferno13–10-0.0320%11 Sept
anubis13–10.067%11 Sept
mirage4–130.0718%9 Sept
train11–130.017%6 Sept
inferno13–40.1123%6 Sept
ancient11–130.0518%6 Sept
nuke13–80.0719%3 Sept
mirage11–13-0.0019%3 Sept
dust213–50.1520%3 Sept
dust212–120.0513%31 Aug
dust24–00.1011%31 Aug
cache13–40.1922%31 Aug
mirage13–110.0514%31 Aug
nuke13–50.1311%31 Aug
inferno9–130.0446%31 Aug
anubis13–70.0719%31 Aug
mirage13–10.2433%31 Aug
ancient11–130.029%30 Aug
ancient13–70.056%30 Aug
ancient13–80.0620%29 Aug
dust213–20.0745%29 Aug
mirage0–5-0.0518%29 Aug
inferno4–9-0.1220%29 Aug
vertigo9–20.2720%29 Aug
inferno9–20.2519%29 Aug
cache12–120.058%29 Aug
nuke13–20.0929%29 Aug
dust213–6-0.0211%29 Aug
cache13–90.1316%28 Aug
vertigo1–80.1325%28 Aug
train13–110.0816%28 Aug
ancient13–30.2119%28 Aug
nuke13–3-0.0116%28 Aug
dust213–10.1818%28 Aug
train13–10.1528%28 Aug
anubis13–10.0216%27 Aug
inferno13–70.1019%23 Aug
cache13–30.0720%23 Aug
nuke6–130.0418%23 Aug
mirage13–50.0521%23 Aug
inferno12–120.1418%21 Aug
dust213–40.2428%21 Aug
vertigo13–90.0412%21 Aug
ancient4–130.0021%21 Aug
ancient14–160.0621%20 Aug
nuke6–130.0714%20 Aug
inferno13–60.1127%19 Aug
inferno13–10-0.018%19 Aug
dust213–50.1524%19 Aug
mirage13–50.0516%19 Aug
mirage13–70.0611%19 Aug
anubis13–60.1617%19 Aug
dust25–13-0.0120%19 Aug
ancient6–13-0.0314%19 Aug
dust22–13-0.1214%19 Aug
anubis13–100.0813%18 Aug
cache13–00.1514%18 Aug
nuke13–30.1018%18 Aug
train13–30.1438%18 Aug
ancient13–20.1514%18 Aug
inferno13–80.0714%18 Aug
dust211–130.0922%18 Aug
anubis13–60.0016%16 Aug
dust213–7-0.0417%16 Aug
dust23–13-0.0510%16 Aug
inferno10–13-0.0611%16 Aug
nuke13–10-0.0119%16 Aug
nuke13–50.3721%16 Aug
ancient11–20.0814%16 Aug
mirage13–50.1513%16 Aug
cache13–80.0435%16 Aug
ancient11–130.0916%16 Aug
nuke13–100.1130%16 Aug
mirage16–120.0914%15 Aug
mirage10–13-0.0315%15 Aug
anubis8–13-0.0210%15 Aug
dust213–50.0521%15 Aug
mirage9–13-0.0515%15 Aug
anubis13–70.1726%14 Aug
mirage7–130.027%14 Aug
ancient13–110.0910%14 Aug
mirage13–11-0.0020%14 Aug
ancient10–20.2517%14 Aug
nuke13–40.1719%14 Aug
dust215–150.0525%14 Aug
nuke13–110.1618%14 Aug
mirage13–6-0.0217%14 Aug
mirage9–13-0.0518%14 Aug
mirage13–8-0.0516%14 Aug
dust213–70.0414%14 Aug
vertigo13–110.0713%13 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →