Jumble

Jumble — CS2 Stats

76561198274712656[U:1:314446928]Steam profile ↗✓ No bans

5,244Tracked matches63%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating22,328Top 50% of 205,416 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#50520 of 252734 tracked
FaceitLevel 10 · 3,048 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 22,328 -259 21 Aug – 13 Oct · 8 days played
20,97522,587peak 22,58721 Aug13 Oct
Faceit ELO: 3,048 +0 30 Aug – 2 Sept · 3 observations
3,0483,048peak 3,04830 Aug2 Sept
22,698Peak Premier in tracked matches
3,048Highest Faceit ELO seen on CSDB
42Days played since 2026-07-11

Faceit ELO

  • At peak — 3,048
  • Next: 3,500 ELO at 3,500 — 452 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-30
  • 2,500 ELO first seen 2026-08-30

Premier CS Rating

  • 259 below peak (22,587)
  • Next: Red band at 25,000 — 2,672 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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.GGJumbleFACEITLevel 10 · 3,048 ELOSTANDINGTop 12.4% of rankedPREMIER22,328 · Pink bandPEAK ELO3,048csdb.gg/stats

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Performance scores

Aim80
Positioning68
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateWWWWLLLWWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · +17ms reaction

Win rate down 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 491ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 477ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 468ms

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 (+1.9 against its own average).

Aim8.0
Utility5.2
Positioning6.8
Opening Duels3.9
Clutch3.8

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 45% on CT — first contacts on the defending side are being lost.

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

Aim8.0
Positioning6.8
Utility5.2
Mechanics4.8
Opening Duels6.5
Win Impact9.4

Composite 7.0/10 (Strong), 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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time484ms−47ms
first ⅓ avg 531ms → last ⅓ avg 484ms
Headshot accuracy19.3%−2.6%
first ⅓ avg 21.8% → last ⅓ avg 19.3%

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

0.17Best match rating · 13–5 · ancient, 13 Oct →
37%Best headshot accuracy · 10–13 · ancient, 23 Sept →
359msFastest reaction time · 10–13 · nuke, 7 Oct →
13–2Biggest win · anubis, 13 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W4Current streak
7–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 69% over 13infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA3119–1261%0.03
ancientA138–562%0.04
dust2S139–469%0.01
cacheB126–650%0.01
anubisA117–464%0.00
infernoD103–730%0.02
nukeC73–443%0.03
vertigo—22–0100%0.05
overpass—11–0100%0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,548Matches
52%Win rate
1.25Avg K/D
88.5ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage121352%1.2417.7
Ancient58952%1.2517.4
Anubis46052%1.2317.4
Dust241250%1.1616.7
Inferno33654%1.2617.6
Nuke27254%1.3318.8
Train11054%1.3318.1
Overpass10243%1.1817.8

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.

18.9%Headshot accuracy
37.2%Accuracy (enemy spotted)
40.1%Spray accuracy
71.4%Counter-strafing
9.6°Preaim
473msReaction time
66.8%T opening success
45.0%CT opening success
0.50Enemies flashed / flash
4.8%Flash assists
9.06HE damage / grenade
7.67Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.1725%13 Oct →
anubis13–2-0.0013%13 Oct →
nuke13–60.0630%7 Oct →
ancient13–6-0.0117%7 Oct →
cache12–160.0229%7 Oct →
nuke10–13-0.0118%7 Oct →
inferno7–13-0.0411%6 Oct →
mirage13–110.0019%6 Oct →
mirage13–8-0.0216%30 Sept →
mirage11–130.0814%29 Sept →
inferno9–13-0.0220%27 Sept →
mirage13–50.1110%26 Sept →
nuke22–190.0518%26 Sept →
inferno13–90.0421%26 Sept →
dust213–110.0715%26 Sept →
mirage16–140.0117%26 Sept →
anubis13–11-0.099%25 Sept →
mirage13–70.0216%25 Sept →
ancient13–11-0.0122%24 Sept →
ancient13–160.0219%24 Sept →
mirage3–13-0.0123%24 Sept →
mirage13–80.1114%24 Sept →
anubis8–13-0.0318%24 Sept →
ancient13–50.0115%23 Sept →
cache14–160.0313%23 Sept →
mirage13–100.0826%23 Sept →
ancient10–130.0737%23 Sept →
dust213–60.1230%23 Sept →
mirage10–130.0216%23 Sept →
vertigo13–70.0315%22 Sept →
ancient16–130.0928%22 Sept →
mirage9–13-0.0618%21 Sept →
mirage11–13-0.0424%21 Sept →
mirage11–130.0121%18 Sept →
dust27–13-0.0636%16 Sept →
anubis10–13-0.0324%16 Sept →
dust213–70.0826%12 Sept →
cache10–13-0.0011%11 Sept →
ancient19–17-0.0118%11 Sept →
dust213–60.0626%9 Sept →
dust212–160.0720%5 Sept →
cache13–10-0.0223%4 Sept →
anubis6–13-0.089%31 Aug →
ancient10–130.0314%31 Aug →
anubis13–90.1135%31 Aug →
ancient8–130.0416%28 Aug →
inferno10–130.0422%28 Aug →
nuke3–130.068%28 Aug →
inferno10–130.0520%27 Aug →
ancient13–100.0423%27 Aug →
mirage4–13-0.0117%27 Aug →
anubis4–130.0226%25 Aug →
anubis19–170.0318%23 Aug →
inferno1–13-0.069%21 Aug →
anubis13–100.0428%21 Aug →
dust213–40.0128%21 Aug →
cache13–5-0.0318%21 Aug →
inferno11–13-0.0027%20 Aug →
mirage13–100.0527%20 Aug →
mirage8–130.0521%20 Aug →
dust211–130.0715%15 Aug →
mirage13–100.0926%15 Aug →
cache11–13-0.0123%14 Aug →
mirage13–100.0216%14 Aug →
mirage11–13-0.0118%12 Aug →
ancient9–130.0424%11 Aug →
cache13–100.0029%11 Aug →
mirage13–10-0.0025%11 Aug →
mirage13–50.0321%10 Aug →
dust213–5-0.0426%8 Aug →
inferno3–13-0.0620%5 Aug →
mirage13–8-0.0219%4 Aug →
dust24–13-0.0133%4 Aug →
nuke9–13-0.0417%4 Aug →
mirage13–90.0723%4 Aug →
dust213–100.0115%4 Aug →
overpass13–90.1621%4 Aug →
vertigo13–60.0722%4 Aug →
mirage2–130.0722%4 Aug →
mirage13–80.1224%4 Aug →
mirage2–13-0.0815%4 Aug →
cache5–13-0.0626%4 Aug →
mirage13–90.1119%3 Aug →
cache13–30.0731%3 Aug →
anubis13–90.0420%2 Aug →
mirage19–150.0821%2 Aug →
cache13–100.0830%2 Aug →
cache13–9-0.0017%1 Aug →
mirage13–90.0424%1 Aug →
ancient13–60.0722%1 Aug →
nuke13–80.1126%1 Aug →
dust213–6-0.240%1 Aug →
nuke10–13-0.0119%1 Aug →
dust213–70.0113%31 Jul →
anubis13–90.0333%16 Jul →
cache10–130.0020%16 Jul →
inferno13–80.1124%15 Jul →
inferno13–50.1524%15 Jul →
mirage13–70.0322%14 Jul →
mirage14–160.0226%11 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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