Joot

Joot — CS2 Stats

AU76561197999217980[U:1:38952252]Steam profile ↗✓ No bans

614Tracked matches50%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating9,595Light Blue band · top ~56.8% of ranked players (population est.)
FaceitLevel 3 · 970 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (14 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: 9,595 -4,954 24 Dec – 27 Sept · 16 days played
9,59515,100peak 15,10024 Dec27 Sept
Faceit ELO: 970 +0 2 Sept – 4 Sept · 2 observations
970970peak 9702 Sept4 Sept
15,179Peak Premier in tracked matches
970Highest Faceit ELO seen on CSDB
49Days played since 2025-12-24

Faceit ELO

  • At peak — 970
  • Next: Level 5 at 1,051 — 81 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-02
  • Level 3 first seen 2026-09-02

Premier CS Rating

  • 5,505 below peak (15,100)
  • -3,330 over 90 days
  • Next: Blue band at 10,000 — 405 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGJootFACEITLevel 3 · 970 ELOSTANDINGTop 90.6% of rankedPREMIER9,595 · Light Blue bandPEAK ELO970csdb.gg/stats

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Performance scores

Aim54
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

HOT46–52–2Last 10046%Win rateWLWWLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +3.5pp headshot accuracy · −37ms reaction

Win rate up 40pp 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 -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 472ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 585ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.4
Utility5.9
Positioning5.0
Opening Duels3.5
Clutch3.2

Strong T-side openerEffective 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

ZywOo

Plays most like ZywOo 77% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 581ms 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

Aim5.4
Positioning5.0
Utility5.9
Mechanics6.4
Opening Duels2.7
Win Impact5.0

Composite 4.7/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time591ms+12ms
first ⅓ avg 580ms → last ⅓ avg 591ms
Headshot accuracy16.3%−0.3%
first ⅓ avg 16.7% → last ⅓ avg 16.3%

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

0.11Best match rating · 13–5 · nuke, 19 Jul →
54%Best headshot accuracy · 13–4 · nuke, 15 May →
398msFastest reaction time · 6–13 · inferno, 19 Jan →
13–2Biggest win · nuke, 7 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
1–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
nukeA2515–1060%0.01
infernoC238–1535%-0.03
mirageC166–1038%-0.02
ancientC104–640%-0.01
anubisS96–367%-0.01
overpassC94–544%-0.04
dust2—42–250%0.00
cache—20–20%0.04
italy—10–10%-0.06
train—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

127Matches
48%Win rate
0.85Avg K/D
70.4ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
10%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3050%0.9213.6
Ancient2241%0.7713.4
Mirage2133%0.7012.2
Nuke2075%0.8713.7
Anubis1362%0.8215.2
Train850%0.9615.9
Dust2729%1.0114.4
Cache20%0.8414.0

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.

16.5%Headshot accuracy
30.8%Accuracy (enemy spotted)
32.9%Spray accuracy
78.7%Counter-strafing
11.0°Preaim
581msReaction time
47.3%T opening success
34.2%CT opening success
0.75Enemies flashed / flash
5.7%Flash assists
10.82HE damage / grenade
7.00Flashes / 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 34.1836% — below the 40% mark we flag

Spend your practice time on Inferno

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

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0323%27 Sept →
mirage7–13-0.1118%21 Aug →
nuke13–9-0.0423%17 Aug →
inferno13–70.0015%17 Aug →
inferno9–13-0.0419%16 Aug →
nuke13–6-0.0314%16 Aug →
dust213–30.0621%11 Aug →
ancient11–130.0317%7 Aug →
inferno13–6-0.0212%30 Jul →
nuke13–40.0212%30 Jul →
nuke10–13-0.0614%28 Jul →
cache7–130.0512%28 Jul →
inferno13–9-0.0112%26 Jul →
nuke13–90.0217%26 Jul →
ancient3–13-0.0719%26 Jul →
mirage13–160.0119%25 Jul →
inferno4–13-0.038%25 Jul →
ancient13–6-0.052%25 Jul →
nuke9–13-0.0419%25 Jul →
anubis11–13-0.0516%21 Jul →
mirage13–8-0.0515%19 Jul →
nuke13–50.1118%19 Jul →
nuke13–80.0117%18 Jul →
mirage13–10-0.0213%18 Jul →
inferno10–130.0123%18 Jul →
mirage13–160.0125%18 Jul →
anubis8–13-0.0520%17 Jul →
nuke10–130.0417%17 Jul →
nuke6–130.0520%6 Jul →
anubis13–60.0710%6 Jul →
ancient13–7-0.0111%6 Jul →
overpass7–13-0.0619%5 Jul →
mirage6–13-0.0020%4 Jul →
nuke8–13-0.076%3 Jul →
overpass1–13-0.1211%14 Jun →
mirage4–13-0.0525%10 Jun →
mirage8–13-0.0512%8 Jun →
anubis13–90.0712%8 Jun →
overpass13–5-0.0133%31 May →
inferno11–13-0.1019%22 May →
nuke13–4-0.0323%22 May →
inferno11–13-0.0114%22 May →
nuke13–60.0923%22 May →
overpass13–9-0.0217%22 May →
mirage15–15-0.0411%17 May →
inferno13–90.0418%17 May →
anubis10–2-0.0415%17 May →
nuke13–8-0.048%17 May →
anubis13–8-0.054%16 May →
ancient13–50.027%16 May →
mirage9–13-0.0220%16 May →
anubis10–13-0.0413%15 May →
nuke13–40.0554%15 May →
inferno4–13-0.0621%15 May →
nuke13–80.0612%11 May →
cache11–130.0316%4 May →
anubis13–90.0022%4 May →
mirage13–40.0619%4 May →
nuke9–13-0.0425%29 Apr →
overpass10–13-0.0315%26 Apr →
ancient9–13-0.0413%26 Apr →
nuke4–130.057%25 Apr →
inferno13–160.0124%19 Apr →
inferno5–13-0.0218%12 Apr →
anubis13–8-0.0415%22 Mar →
nuke13–80.0317%22 Mar →
mirage13–110.0120%22 Mar →
inferno8–13-0.114%21 Mar →
dust25–130.0331%21 Mar →
inferno8–130.0019%17 Mar →
dust211–13-0.0510%14 Feb →
mirage15–150.0315%14 Feb →
inferno13–6-0.073%14 Feb →
inferno11–13-0.0916%11 Feb →
overpass11–13-0.0420%7 Feb →
nuke13–40.0620%29 Jan →
italy7–13-0.0616%21 Jan →
nuke8–130.0016%21 Jan →
inferno4–13-0.0818%20 Jan →
ancient13–80.0213%19 Jan →
mirage4–13-0.0514%19 Jan →
inferno6–130.0114%19 Jan →
overpass13–6-0.0430%15 Jan →
nuke11–13-0.0225%13 Jan →
mirage13–7-0.0223%13 Jan →
ancient4–13-0.0516%13 Jan →
inferno8–13-0.0416%12 Jan →
overpass11–13-0.0411%12 Jan →
nuke13–100.0212%11 Jan →
train13–30.0128%11 Jan →
ancient9–13-0.0411%11 Jan →
nuke13–20.0414%7 Jan →
overpass13–80.0121%7 Jan →
inferno13–100.0614%7 Jan →
inferno13–5-0.0011%24 Dec →
ancient14–160.0717%24 Dec →
inferno13–10-0.0314%24 Dec →
nuke7–13-0.0720%24 Dec →
inferno3–13-0.0421%24 Dec →
mirage13–5-0.0219%24 Dec →

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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