Jojj

Jojj — CS2 Stats

HM76561198035142266[U:1:74876538]Steam profile ↗✓ No bans

3,159Tracked matches41%Win rate2022Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating27,240Top 5% of 213,399 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#5369 of 260012 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 27,240 +684 27 Jun – 2 Nov · 10 days played
25,00627,240peak 27,24027 Jun2 Nov
Faceit ELO: 2,187 +0 31 Aug – 1 Sept · 2 observations
2,1872,187peak 2,18731 Aug1 Sept
27,358Peak Premier in tracked matches
2,187Highest Faceit ELO seen on CSDB
49Days played since 2026-06-12

Premier CS Rating

  • At peak — 27,240
  • Next: Gold band at 30,000 — 2,760 to go
  • Reached: Red band · Pink band · Purple band · 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.GGJojjFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER27,240 · Red bandPEAK ELO2,187csdb.gg/stats

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Performance scores

Aim78
Positioning54
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLWWLWTWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · +3.1pp headshot accuracy · −41ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 516ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 514ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 534ms

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 (+1.7 against its own average).

Aim7.8
Utility4.1
Positioning5.4
Opening Duels1.7
Clutch3.8

Strong T-side opener

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

iM

Plays most like iM 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

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

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

Aim7.8
Positioning5.4
Utility4.1
Mechanics6.0
Opening Duels1.7
Win Impact2.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time529ms−79ms
first ⅓ avg 608ms → last ⅓ avg 529ms
Headshot accuracy22.3%−3.0%
first ⅓ avg 25.3% → last ⅓ avg 22.3%

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

0.19Best match rating · 8–13 · cache, 1 Oct →
100%Best headshot accuracy · 2–0 · cache, 19 Jul →
344msFastest reaction time · 2–0 · cache, 19 Jul →
13–0Biggest win · mirage, 13 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 63% over 8ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB3517–1849%0.01
infernoB179–853%0.03
anubisA159–660%0.02
nukeC125–742%0.01
dust2A85–363%0.02
ancientC52–340%0.04
mirage—42–250%0.01
overpass—30–30%-0.01
train—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,237Matches
52%Win rate
1.49Avg K/D
79.1ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis8058%1.3317.8
Mirage6450%1.1917.8
Inferno5353%1.3317.5
Ancient4055%1.2517.5
Vertigo2854%1.3419.0
Overpass1958%1.4318.3
Dust21547%1.0414.4
Nuke1155%1.3419.8

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.

22.3%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.6%Spray accuracy
77.0%Counter-strafing
10.7°Preaim
523msReaction time
43.2%T opening success
28.9%CT opening success
0.45Enemies flashed / flash
3.2%Flash assists
7.12HE damage / grenade
7.47Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4537 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.8703% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0522%2 Nov →
nuke13–8-0.0326%2 Nov →
nuke6–13-0.0214%1 Nov →
dust213–6-0.0138%30 Oct →
anubis13–70.0824%29 Oct →
dust26–13-0.0336%29 Oct →
nuke13–90.0420%28 Oct →
ancient15–150.0116%25 Oct →
cache13–80.0522%25 Oct →
dust213–110.0526%25 Oct →
cache13–10.0615%25 Oct →
anubis5–00.0329%25 Oct →
nuke13–80.1118%25 Oct →
cache13–7-0.0318%24 Oct →
cache3–13-0.0019%19 Oct →
cache1–8-0.0716%15 Oct →
inferno13–100.1530%12 Oct →
cache8–13-0.0218%2 Oct →
inferno10–130.0431%2 Oct →
cache8–130.1920%1 Oct →
mirage7–13-0.097%24 Aug →
nuke5–20.0516%24 Aug →
inferno2–13-0.1218%24 Aug →
nuke1–13-0.0218%23 Aug →
mirage8–13-0.0023%23 Aug →
cache4–13-0.0125%23 Aug →
inferno3–13-0.0022%23 Aug →
cache5–13-0.0131%23 Aug →
anubis3–13-0.0329%16 Aug →
cache7–13-0.0816%16 Aug →
inferno13–20.0119%9 Aug →
cache13–70.0518%9 Aug →
inferno2–13-0.0535%8 Aug →
anubis13–60.0513%4 Aug →
inferno7–20.0925%4 Aug →
nuke13–80.0315%4 Aug →
nuke12–16-0.0322%30 Jul →
cache11–13-0.0324%29 Jul →
anubis13–80.0123%29 Jul →
anubis13–80.1032%28 Jul →
ancient5–130.0216%28 Jul →
dust25–50.1326%28 Jul →
inferno4–130.0030%27 Jul →
anubis13–110.0728%26 Jul →
anubis13–30.0017%26 Jul →
cache13–110.1226%26 Jul →
cache13–50.0320%25 Jul →
cache13–90.0121%25 Jul →
inferno13–110.0125%24 Jul →
cache13–5-0.0631%23 Jul →
cache13–60.1124%22 Jul →
inferno13–40.0020%22 Jul →
ancient8–130.0132%21 Jul →
dust22–10-0.0731%20 Jul →
dust210–130.0021%20 Jul →
cache2–13-0.0418%20 Jul →
inferno5–10.078%20 Jul →
cache11–13-0.0215%20 Jul →
inferno13–70.0521%19 Jul →
inferno10–130.0627%19 Jul →
cache2–00.01100%19 Jul →
inferno13–3-0.0519%17 Jul →
cache13–70.0419%17 Jul →
nuke13–16-0.0111%16 Jul →
anubis13–30.0537%16 Jul →
inferno9–130.0114%15 Jul →
anubis13–70.0327%14 Jul →
anubis2–13-0.0914%13 Jul →
mirage13–00.0728%13 Jul →
ancient13–60.0932%12 Jul →
cache13–3-0.0432%9 Jul →
cache12–120.0423%9 Jul →
cache13–60.0024%2 Jul →
inferno13–110.1223%2 Jul →
nuke5–13-0.0715%1 Jul →
anubis9–13-0.0130%30 Jun →
inferno8–130.0420%30 Jun →
anubis10–130.0222%30 Jun →
overpass12–120.0323%28 Jun →
cache11–130.0317%27 Jun →
ancient13–100.0942%27 Jun →
nuke6–130.0228%27 Jun →
dust213–100.0825%27 Jun →
dust213–10-0.0132%25 Jun →
cache7–130.0231%25 Jun →
cache13–8-0.0031%25 Jun →
cache13–50.0524%25 Jun →
cache6–130.0229%24 Jun →
anubis3–13-0.0321%24 Jun →
cache8–130.0514%20 Jun →
train5–13-0.0111%20 Jun →
overpass1–5-0.0540%15 Jun →
cache13–80.0135%15 Jun →
mirage13–40.0422%15 Jun →
nuke10–130.0125%14 Jun →
cache4–13-0.0035%14 Jun →
anubis11–130.0425%14 Jun →
cache13–30.0520%13 Jun →
cache5–13-0.0723%12 Jun →
overpass5–13-0.0121%12 Jun →

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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