_jUmi

_jUmi — CS2 Stats

DK76561198138162629[U:1:177896901]Steam profile ↗✓ No bans

2,599Tracked matches47%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG_jUmiFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning62
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWWLLLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · −42ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 480ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 559ms

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 (+1.8 against its own average).

Aim8.6
Utility4.8
Positioning6.2
Opening Duels3.5
Clutch3.0

Sharp aimerStrong CT-side openerLimited 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 95% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 569ms 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

Aim8.6
Positioning6.2
Utility4.8
Mechanics6.8
Opening Duels4.9
Win Impact3.9

Composite 6.4/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time587ms+11ms
first ⅓ avg 575ms → last ⅓ avg 587ms
Headshot accuracy20.6%−6.0%
first ⅓ avg 26.6% → last ⅓ avg 20.6%

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

0.14Best match rating · 13–2 · nuke, 19 May →
59%Best headshot accuracy · 13–7 · anubis, 26 May →
422msFastest reaction time · 14–16 · ancient, 23 Oct →
13–1Biggest win · ancient, 19 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–13In matches decided by ≤2 rounds
20Overtime games

Map breakdown

mirageBest map · 80% over 5anubisWeakest map · 53% over 19
MapGradePlayedRecordWin rateAvg rating
ancientA2313–1057%-0.00
anubisB1910–953%-0.00
nukeA1811–761%0.01
infernoA138–562%0.02
vertigoA127–558%0.00
mirageS54–180%0.01
dust2—41–325%-0.04
overpass—31–233%-0.06
cache—22–0100%-0.02
office—10–10%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (53% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,621Matches
50%Win rate
1.07Avg K/D
77.9ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis16543%1.0215.8
Ancient15550%1.0615.9
Nuke14657%1.1016.9
Inferno12750%1.0615.9
Vertigo7653%1.0816.7
Dust25139%0.9416.6
Mirage4351%1.1115.6
Overpass3754%1.1416.2

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.

20.7%Headshot accuracy
40.1%Accuracy (enemy spotted)
43.9%Spray accuracy
80.8%Counter-strafing
9.3°Preaim
569msReaction time
44.0%T opening success
55.0%CT opening success
0.58Enemies flashed / flash
7.8%Flash assists
9.63HE damage / grenade
3.43Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4324 — below the 4 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0319%31 Oct →
anubis13–70.0619%26 Oct →
ancient14–16-0.0022%23 Oct →
anubis9–130.0228%23 Oct →
ancient11–13-0.0429%23 Oct →
cache16–140.0116%22 Oct →
inferno13–10-0.0028%20 Oct →
ancient13–10.1019%19 Oct →
anubis9–13-0.0423%18 Oct →
nuke13–110.1018%11 Oct →
mirage9–130.0117%11 Oct →
ancient13–11-0.0020%4 Oct →
ancient16–130.0128%3 Oct →
inferno13–90.0526%30 Sept →
dust29–13-0.0418%21 Sept →
inferno10–13-0.0222%21 Sept →
nuke13–100.0123%19 Sept →
anubis14–16-0.0725%30 Aug →
anubis4–13-0.055%29 Aug →
ancient7–13-0.0223%21 Aug →
dust211–13-0.0628%21 Aug →
ancient16–130.0021%19 Aug →
ancient14–160.0012%17 Aug →
ancient11–13-0.0514%12 Aug →
nuke13–7-0.0210%9 Aug →
anubis13–5-0.0313%8 Aug →
inferno6–130.0716%21 Jul →
inferno2–130.0027%13 Jul →
nuke4–13-0.0233%12 Jul →
inferno13–30.0919%29 Jun →
ancient13–8-0.0621%27 Jun →
nuke13–11-0.0522%27 Jun →
nuke16–12-0.0118%27 Jun →
nuke13–8-0.078%26 Jun →
nuke8–13-0.0419%26 Jun →
inferno13–90.0431%25 Jun →
anubis13–7-0.0119%13 Jun →
nuke11–13-0.0017%12 Jun →
mirage13–30.0416%11 Jun →
overpass11–13-0.0426%7 Jun →
ancient9–13-0.0214%28 May →
nuke5–13-0.0827%26 May →
ancient13–50.0954%18 May →
overpass13–10-0.0221%15 May →
inferno16–140.0426%12 May →
cache13–10-0.0610%30 Apr →
anubis10–13-0.0315%24 Apr →
anubis3–13-0.059%20 Apr →
anubis16–130.0422%15 Apr →
anubis13–60.0318%13 Apr →
overpass8–13-0.1129%10 Apr →
anubis13–90.0020%6 Apr →
ancient4–130.0032%5 Apr →
ancient9–13-0.0518%5 Apr →
inferno13–110.0518%3 Apr →
ancient13–9-0.0118%2 Apr →
ancient16–140.0121%29 Mar →
office6–13-0.0723%20 Mar →
mirage13–1-0.0720%14 Mar →
mirage13–100.0921%5 Mar →
anubis11–13-0.0326%24 Jun →
vertigo13–9-0.0443%24 Jun →
nuke8–13-0.0422%17 Jun →
anubis14–16-0.0222%16 Jun →
anubis22–19-0.0422%9 Jun →
nuke6–130.0322%9 Jun →
ancient10–13-0.0319%9 Jun →
vertigo13–70.0838%9 Jun →
vertigo13–16-0.0736%8 Jun →
inferno13–10-0.0320%8 Jun →
anubis13–8-0.0532%8 Jun →
ancient13–9-0.0521%7 Jun →
vertigo12–160.0531%7 Jun →
ancient16–130.0332%6 Jun →
inferno7–13-0.0110%6 Jun →
ancient11–130.0123%5 Jun →
inferno8–13-0.0533%4 Jun →
ancient16–140.0325%3 Jun →
dust27–13-0.0541%3 Jun →
ancient13–8-0.0117%3 Jun →
vertigo13–50.0316%3 Jun →
vertigo11–13-0.0016%2 Jun →
nuke13–100.0434%2 Jun →
nuke13–30.1230%2 Jun →
anubis13–20.1137%31 May →
ancient16–14-0.0317%31 May →
inferno16–130.0223%30 May →
vertigo16–140.0028%30 May →
anubis4–13-0.0223%27 May →
anubis13–70.1059%26 May →
nuke13–1-0.0212%26 May →
vertigo13–70.0832%26 May →
nuke17–19-0.0124%26 May →
vertigo8–13-0.0228%25 May →
nuke13–80.0518%21 May →
vertigo13–10-0.0140%21 May →
dust213–100.0238%19 May →
vertigo9–13-0.0417%19 May →
nuke13–20.1418%19 May →
vertigo13–90.008%19 May →

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 →

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